Medicare Program:

 
CONTENT

Federal Register Volume 76, Number 151 (Friday, August 5, 2011)

Rules and Regulations

Pages 47836-47915

From the Federal Register Online via the Government Printing Office [www.gpo.gov]

FR Doc No: 2011-19516

Page 47835

Vol. 76

Friday,

No. 151

August 5, 2011

Part III

Department of Health and Human Services

Centers for Medicare & Medicaid Services

42 CFR Part 412

Medicare Program; Inpatient Rehabilitation Facility Prospective Payment

System for Federal Fiscal Year 2012; Changes in Size and Square Footage of Inpatient Rehabilitation Units and Inpatient Psychiatric Units;

Final Rule

Page 47836

DEPARTMENT OF HEALTH AND HUMAN SERVICES

Centers for Medicare & Medicaid Services 42 CFR Part 412

CMS-1349-F

RIN 0938-AQ28

Medicare Program; Inpatient Rehabilitation Facility Prospective

Payment System for Federal Fiscal Year 2012; Changes in Size and Square

Footage of Inpatient Rehabilitation Units and Inpatient Psychiatric

Units

AGENCY: Centers for Medicare & Medicaid Services (CMS), HHS.

ACTION: Final rule.

SUMMARY: This final rule will implement section 3004 of the Affordable

Care Act, which establishes a new quality reporting program that provides for a 2 percent reduction in the annual increase factor beginning in 2014 for failure to report quality data to the Secretary of Health and Human Services. This final rule will also update the prospective payment rates for inpatient rehabilitation facilities

(IRFs) for Federal fiscal year (FY) 2012 (for discharges occurring on or after October 1, 2011 and on or before September 30, 2012) as required under section 1886(j)(3)(C) of the Social Security Act (the

Act). Section 1886(j)(5) of the Act requires the Secretary to publish in the Federal Register on or before the August 1 that precedes the start of each FY the classification and weighting factors for the IRF prospective payment system (PPS) case-mix groups and a description of the methodology and data used in computing the prospective payment rates for that fiscal year. We are also consolidating, clarifying, and revising existing policies regarding IRF hospitals and IRF units of hospitals to eliminate unnecessary confusion and enhance consistency.

Furthermore, in accordance with the general principles of the

President's January 18, 2011 Executive Order entitled ``Improving

Regulation and Regulatory Review,'' we are amending existing regulatory provisions regarding ''new'' facilities and changes in the bed size and square footage of IRFs and inpatient psychiatric facilities (IPFs) to improve clarity and remove obsolete material.

DATES: Effective Date: This final rule becomes effective on October 1, 2011.

FOR FURTHER INFORMATION CONTACT:

Gwendolyn Johnson, (410) 786-6954, for general information about the final rule.

Hillary Loeffler, (410) 786-0456, for information about the payment rates.

Susanne Seagrave, (410) 786-0044, for information about the payment policies.

Judith C. Tobin, (410) 786-6892, for information about the quality reporting program.

SUPPLEMENTARY INFORMATION:

Table of Contents

To assist readers in referencing sections contained in this document, we are providing the following table of contents.

I. Background

  1. Historical Overview of the Inpatient Rehabilitation Facility

    Prospective Payment System (IRF PPS)

  2. Provisions of the Affordable Care Act Affecting the IRF PPS in FY 2012 and Beyond

  3. Operational Overview of the Current IRF PPS

    II. Summary of Provisions of the Proposed Rule

  4. Proposed Updates to the IRF Federal Prospective Payment Rates for Federal Fiscal Year (FY) 2012

  5. Proposed Revisions to Existing Regulation Text

    III. Analysis and Responses to Public Comments

    IV. Update to the Case-Mix Group (CMG) Relative Weights and Average

    Length of Stay Values for FY 2012

    V. Updates to the Facility-Level Adjustment Factors for FY 2012

  6. Updates to the IRF Facility-Level Adjustment Factors

  7. Policy for Temporary Cap Adjustments To Reflect Interns and

    Residents Displaced Due to Closure of IRFs or IRF Residency Training

    Programs 1. Background 2. FTE Intern and Resident Temporary Cap Adjustment 3. Temporary Adjustment to the FTE Cap To Reflect Interns and

    Residents Displaced Due to IRF Closure 4. Temporary Adjustment to the FTE Cap To Reflect Interns and

    Residents Displaced Due to a Residency Program Closure

    VI. FY 2012 IRF PPS Federal Prospective Payment Rates

  8. Market Basket Increase Factor, Productivity Adjustment, and

    Labor-Related Share for FY 2012 1. Rebasing and Revising of the RPL Market Basket Used for IRF

    PPS for FY 2012 2. Productivity Adjustment 3. Calculation of the IRF PPS Market Basket Increase Factor for

    FY 2012 4. Calculation of the Labor-Related Share for FY 2012

  9. Area Wage Adjustment

  10. Description of the IRF Standard Conversion Factor and Payment

    Rates for FY 2012

  11. Example of the Methodology for Adjusting the Federal

    Prospective Payment Rates

    VII. Update to Payments for High-Cost Outliers Under the IRF PPS

  12. Update to the Outlier Threshold Amount for FY 2012

  13. Update to the IRF Cost-to-Charge Ratio Ceilings

    VIII. Impact of the IPPS Data Matching Process Changes on the IRF

    PPS Calculation of the Low-Income Percentage Adjustment Factor

    IX. Updates to the Policies in 42 CFR Part 412

  14. Consolidation of the Requirements for Rehabilitation

    Hospitals and Rehabilitation Units

  15. Revisions to the Regulations at Sec. 412.29

  16. Revisions to the Requirements for Changes in Bed Size and

    Square Footage

  17. Revisions To Enhance Consistency Between the IRF Coverage and

    Payment Requirements

    X. Quality Reporting Program for IRFs

  18. Background and Statutory Authority

  19. Quality Measures for IRF Quality Reporting Program for FY 2014 1. General 2. Considerations in the Selection of the Quality Measures 3. FY 2014 Measure 1: Healthcare Associated Infection

    Measure (HAI): Urinary Catheter-Associated Urinary Tract Infections

    (CAUTI) 4. FY 2014 Measure 2: Percent of Patients With Pressure

    Ulcers That Are New or Worsened 5. Potential FY 2014 Measure 3: 30-Day Comprehensive

    All Cause Risk Standardized Readmission Measure

  20. Data Submission Requirements 1. Method of Data Submission for HAI Measure (CAUTI) 2. Method of Data Submission for the Percent of Patients With

    New or Worsened Pressure Ulcer Measure. 3. Potential Method of Data Submission for the 30-Day

    Comprehensive All-Cause Risk-Standardized Readmission Measure.

  21. Public Reporting

  22. Quality Measures for Future Consideration for Determination of Increase Factors for Future Fiscal Year Payments

  23. New Regulation Text for the IRF Quality Reporting Program

    XI. Miscellaneous Comments

    XII. Provisions of the Final Regulations

    XIII. Collection of Information Requirements

    XIV. Economic Analyses

  24. Regulatory Impact Analysis 1. Introduction 2. Statement of Need 3. Overall Impacts 4. Detailed Economic Analysis 5. Alternatives Considered 6. Accounting Statement 7. Conclusion

  25. Regulatory Flexibility Act Analysis

  26. Unfunded Mandates Reform Act Analysis

    XV. Federalism Analysis

    Regulation Text

    Addendum

    Acronyms

    To assist the reader, we are listing the acronyms used and their corresponding meaning in alphabetical order.

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    ADC Average Daily Census

    AHA American Hospital Association

    ASCA Administrative Simplification Compliance Act of 2002, Public

    Law 107-105

    BBA Balanced Budget Act of 1997, Public Law 105-33

    BBRA Medicare, Medicaid, and SCHIP [State Children's Health

    Insurance Program] Balanced Budget Refinement Act of 1999, Public

    Law 106-113

    BEA Bureau of Economic Analysis

    BIPA Medicare, Medicaid, and SCHIP [State Children's Health

    Insurance Program] Benefits Improvement and Protection Act of 2000,

    Public Law 106-554

    BLS Bureau of Labor Statistics

    CAH Critical Access Hospital

    CAUTI Catheter-Associated Urinary Tract Infection

    CBSA Core-Based Statistical Area

    CDC Centers for Disease Control and Prevention

    CCR Cost-to-Charge Ratio

    CFR Code of Federal Regulations

    CIPI Capital Input Price Index

    CMG Case-Mix Group

    CMS Centers for Medicare & Medicaid Services

    CPI Consumer Price Index

    DSH Disproportionate Share Hospital

    ECI Employment Cost Index

    EHR Electronic Health Record

    FI Fiscal Intermediary

    FR Federal Register

    FTE Full-time Equivalent

    FY Federal Fiscal Year

    GDP Gross Domestic Product

    GME Graduate Medical Education

    HAI Healthcare Associated Infection

    HHH Hubert H. Humphrey Building

    HHS Department of Health and Human Services

    HIPAA Health Insurance Portability and Accountability Act of 1996,

    Public Law 104-191

    HOMER Home Office Medicare Records

    IGI IHS Global Insight

    IME Indirect Medical Education

    I-O Input-Output

    IPF Inpatient Psychiatric Facility

    IPPS Inpatient Prospective Payment System

    IRF Inpatient Rehabilitation Facility

    IRF-PAI Inpatient Rehabilitation Facility--Patient Assessment

    Instrument

    IRF PPS Inpatient Rehabilitation Facility Prospective Payment System

    IRVEN Inpatient Rehabilitation Validation and Entry

    LTCH Long Term Care Hospital

    LIP Low-Income Percentage

    LOS Length of Stay

    MA Medicare Advantage

    MAC Medicare Administrative Contractor

    MedPAR Medicare Provider Analysis and Review

    MFP Multifactor Productivity

    MMSEA Medicare, Medicaid, and SCHIP Extension Act of 2007, Public

    Law 110--173

    MSA Metropolitan Statistical Area

    NAICS North American Industry Classification System

    NHSN National Healthcare Safety Network

    NQF National Quality Forum

    OMB Office of Management and Budget

    PLI Professional Liability Insurance

    PPI Producer Price Indexes

    PPS Prospective Payment System

    QM Quality Measure

    RFA Regulatory Flexibility Act of 1980, Public Law 96-354

    RIA Regulatory Impact Analysis

    RIC Rehabilitation Impairment Category

    RO Regional Office

    RP Rehabilitation and Psychiatric

    RPL Rehabilitation, Psychiatric, and Long-Term Care Hospital

    SCHIP State Children's Health Insurance Program

    SSI Supplemental Security Income

    TEFRA Tax Equity and Fiscal Responsibility Act of 1982, Public Law 97-248

    I. Background

  27. Historical Overview of the Inpatient Rehabilitation Facility

    Prospective Payment System (IRF PPS)

    Section 4421 of the Balanced Budget Act of 1997 (Pub. L. 105-33, enacted on August 5, 1997) (BBA), as amended by section 125 of the

    Medicare, Medicaid, State Children's Health Insurance Program (SCHIP)

    Balanced Budget Refinement Act of 1999 (Pub. L. 106-113, enacted on

    November 29, 1999) (BBRA) and by section 305 of the Medicare, Medicaid, and SCHIP Benefits Improvement and Protection Act of 2000 (Pub. L. 106- 554, enacted on December 21, 2000) (BIPA) provides for the implementation of a per discharge prospective payment system (PPS) under section 1886(j) of the Social Security Act (the Act) for inpatient rehabilitation hospitals and inpatient rehabilitation units of a hospital (hereinafter referred to as IRFs).

    Payments under the IRF PPS encompass inpatient operating and capital costs of furnishing covered rehabilitation services (that is, routine, ancillary, and capital costs) but not direct graduate medical education costs, costs of approved nursing and allied health education activities, bad debts, and other services or items outside the scope of the IRF PPS. Although a complete discussion of the IRF PPS provisions appears in the original FY 2002 IRF PPS final rule (66 FR 41316) and the FY 2006 IRF PPS final rule (70 FR 47880), we are providing below a general description of the IRF PPS for fiscal years (FYs) 2002 through 2010.

    Under the IRF PPS from FY 2002 through FY 2005, as described in the

    FY 2002 IRF PPS final rule (66 FR 41316), the Federal prospective payment rates were computed across 100 distinct case-mix groups (CMGs).

    We constructed 95 CMGs using rehabilitation impairment categories

    (RICs), functional status (both motor and cognitive), and age (in some cases, cognitive status and age may not be a factor in defining a CMG).

    In addition, we constructed 5 special CMGs to account for very short stays and for patients who expire in the IRF.

    For each of the CMGs, we developed relative weighting factors to account for a patient's clinical characteristics and expected resource needs. Thus, the weighting factors accounted for the relative difference in resource use across all CMGs. Within each CMG, we created tiers based on the estimated effects that certain comorbidities would have on resource use.

    We established the Federal PPS rates using a standardized payment conversion factor (formerly referred to as the budget neutral conversion factor). For a detailed discussion of the budget neutral conversion factor, please refer to our FY 2004 IRF PPS final rule (68

    FR 45684 through 45685). In the FY 2006 IRF PPS final rule (70 FR 47880), we discussed in detail the methodology for determining the standard payment conversion factor.

    We applied the relative weighting factors to the standard payment conversion factor to compute the unadjusted Federal prospective payment rates under the IRF PPS from FYs 2002 through 2005. Within the structure of the payment system, we then made adjustments to account for interrupted stays, transfers, short stays, and deaths. Finally, we applied the applicable adjustments to account for geographic variations in wages (wage index), the percentage of low-income patients, location in a rural area (if applicable), and outlier payments (if applicable) to the IRF's unadjusted Federal prospective payment rates.

    For cost reporting periods that began on or after January 1, 2002 and before October 1, 2002, we determined the final prospective payment amounts using the transition methodology prescribed in section 1886(j)(1) of the Act. Under this provision, IRFs transitioning into the PPS were paid a blend of the Federal IRF PPS rate and the payment that the IRF would have received had the IRF PPS not been implemented.

    This provision also allowed IRFs to elect to bypass this blended payment and immediately be paid 100 percent of the Federal IRF PPS rate. The transition methodology expired as of cost reporting periods beginning on or after October 1, 2002 (FY 2003), and payments for all

    IRFs now consist of 100 percent of the Federal IRF PPS rate.

    We established a CMS Web site as a primary information resource for the IRF PPS. The Web site URL is http://www.cms.gov/InpatientRehabFacPPS/ and may be accessed to download or

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    view publications, software, data specifications, educational materials, and other information pertinent to the IRF PPS.

    Section 1886(j) of the Act confers broad statutory authority upon the Secretary to propose refinements to the IRF PPS. In the FY 2006 IRF

    PPS final rule (70 FR 47880) and in correcting amendments to the FY 2006 IRF PPS final rule (70 FR 57166) that we published on September 30, 2005, we finalized a number of refinements to the IRF PPS case-mix classification system (the CMGs and the corresponding relative weights) and the case-level and facility-level adjustments. These refinements included the adoption of the Office of Management and Budget's (OMB)

    Core-Based Statistical Area (CBSA) market definitions, modifications to the CMGs, tier comorbidities, and CMG relative weights, implementation of a new teaching status adjustment for IRFs, revision and rebasing of the market basket index used to update IRF payments, and updates to the rural, low-income percentage (LIP), and high-cost outlier adjustments.

    Beginning with the FY 2006 IRF PPS final rule (70 FR 47908 through 47917), the market basket index used to update IRF payments is a market basket reflecting the operating and capital cost structures for freestanding IRFs, freestanding inpatient psychiatric facilities

    (IPFs), and long-term care hospitals (LTCHs) (hereafter referred to as the rehabilitation, psychiatric, and long-term care (RPL) market basket). Any reference to the FY 2006 IRF PPS final rule in this final rule also includes the provisions effective in the correcting amendments. For a detailed discussion of the final key policy changes for FY 2006, please refer to the FY 2006 IRF PPS final rule (70 FR 47880 and 70 FR 57166).

    In the FY 2007 IRF PPS final rule (71 FR 48354), we further refined the IRF PPS case-mix classification system (the CMG relative weights) and the case-level adjustments, to ensure that IRF PPS payments would continue to reflect as accurately as possible the costs of care. For a detailed discussion of the FY 2007 policy revisions, please refer to the FY 2007 IRF PPS final rule (71 FR 48354).

    In the FY 2008 IRF PPS final rule (72 FR 44284), we updated the

    Federal prospective payment rates and the outlier threshold, revised the IRF wage index policy, and clarified how we determine high-cost outlier payments for transfer cases. For more information on the policy changes implemented for FY 2008, please refer to the FY 2008 IRF PPS final rule (72 FR 44284), in which we published the final FY 2008 IRF

    Federal prospective payment rates.

    After publication of the FY 2008 IRF PPS final rule (72 FR 44284), section 115 of the Medicare, Medicaid, and SCHIP Extension Act of 2007

    (Pub. L. 110-173, enacted on December 29, 2007) (MMSEA), amended section 1886(j)(3)(C) of the Act to apply a zero percent increase factor for FYs 2008 and 2009, effective for IRF discharges occurring on or after April 1, 2008. Section 1886(j)(3)(C) of the Act required the

    Secretary to develop an increase factor to update the IRF Federal prospective payment rates for each FY. Based on the legislative change to the increase factor, we revised the FY 2008 Federal prospective payment rates for IRF discharges occurring on or after April 1, 2008.

    Thus, the final FY 2008 IRF Federal prospective payment rates that were published in the FY 2008 IRF PPS final rule (72 FR 44284) were effective for discharges occurring on or after October 1, 2007 and on or before March 31, 2008; and the revised FY 2008 IRF Federal prospective payment rates were effective for discharges occurring on or after April 1, 2008 and on or before September 30, 2008. The revised FY 2008 Federal prospective payment rates are available on the CMS Web site at http://www.cms.gov/InpatientRehabFacPPS/07_DataFiles.asp#TopOfPage.

    In the FY 2009 IRF PPS final rule (73 FR 46370), we updated the CMG relative weights, the average length of stay values, and the outlier threshold; clarified IRF wage index policies regarding the treatment of

    ``New England deemed'' counties and multi-campus hospitals; and revised the regulation text in response to section 115 of the MMSEA to set the

    IRF compliance percentage at 60 percent (``the 60 percent rule'') and continue the practice of including comorbidities in the calculation of compliance percentages. We also applied a zero percent market basket increase factor for FY 2009 in accordance with section 115 of the

    MMSEA. For more information on the policy changes implemented for FY 2009, please refer to the FY 2009 IRF PPS final rule (73 FR 46370), in which we published the final FY 2009 IRF Federal prospective payment rates.

    In the FY 2010 IRF PPS final rule (74 FR 39762) and in correcting amendments to the FY 2010 IRF PPS final rule (74 FR 50712) that we published on October 1, 2009, we updated the Federal prospective payment rates, the CMG relative weights, the average length of stay values, the rural, LIP, and teaching status adjustment factors, and the outlier threshold; implemented new IRF coverage requirements for determining whether an IRF claim is reasonable and necessary; and revised the regulation text to require IRFs to submit patient assessments on Medicare Advantage (MA) (Medicare Part C) patients for use in the 60 percent rule calculations. Any reference to the FY 2010

    IRF PPS final rule in this final rule also includes the provisions effective in the correcting amendments. For more information on the policy changes implemented for FY 2010, please refer to the FY 2010 IRF

    PPS final rule (74 FR 39762 and 74 FR 50712), in which we published the final FY 2010 IRF Federal prospective payment rates.

    After publication of the FY 2010 IRF PPS final rule (74 FR 39762), section 3401(d) of the Patient Protection and Affordable Care Act (Pub.

    L. 111-148, enacted on March 23, 2010) as amended by section 10319 of the same Act and by section 1105 of the Health Care and Education

    Reconciliation Act of 2010 (Pub. L. 111-152, enacted on March 30, 2010)

    (collectively, hereafter referred to as ``The Affordable Care Act''), amended section 1886(j)(3)(C) of the Act and added section 1886(j)(3)(D) of the Act. Section 1886(j)(3)(C) of the Act requires the

    Secretary to estimate a multi-factor productivity adjustment to the market basket increase factor, and to apply other adjustments as defined by the Act. The productivity adjustment applies to FYs from 2012 forward. The other adjustments apply to FYs 2010-2019.

    Sections 1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(i) of the Act defined the adjustments that were to be applied to the market basket increase factors in FYs 2010 and 2011. Under these provisions, the

    Secretary was required to reduce the market basket increase factor in

    FY 2010 by a 0.25 percentage point adjustment. Notwithstanding this provision, in accordance with section 3401(p) of the Affordable Care

    Act, the adjusted FY 2010 rate was only to be applied to discharges occurring on or after April 1, 2010. Based on the self-implementing legislative changes to section 1886(j)(3) of the Act, we adjusted the

    FY 2010 Federal prospective payment rates as required, and applied these rates to IRF discharges occurring on or after April 1, 2010 and on or before September 30, 2010. Thus, the final FY 2010 IRF Federal prospective payment rates that were published in the FY 2010 IRF PPS final rule (74 FR 39762) were used for discharges occurring on or after

    October 1, 2009 and on or before March 31, 2010; and the adjusted FY 2010 IRF Federal prospective payment rates applied to discharges occurring on or

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    after April 1, 2010 and on or before September 30, 2010. The adjusted

    FY 2010 Federal prospective payment rates are available on the CMS Web site at http://www.cms.gov/InpatientRehabFacPPS/07_DataFiles.asp#TopOfPage.

    In addition, sections 1886(j)(3)(C) and (D) of the Act also affected the FY 2010 IRF outlier threshold amount because they required an adjustment to the FY 2010 RPL market basket increase factor, which changed the standard payment conversion factor for FY 2010.

    Specifically, the original FY 2010 IRF outlier threshold amount was determined based on the original estimated FY 2010 RPL market basket increase factor of 2.5 percent and the standard payment conversion factor of $13,661. However, as adjusted, the IRF prospective payments are based on the adjusted RPL market basket increase factor of 2.25 percent and the revised standard payment conversion factor of $13,627.

    To maintain estimated outlier payments for FY 2010 equal to the established standard of 3 percent of total estimated IRF PPS payments for FY 2010, we revised the IRF outlier threshold amount for FY 2010 for discharges occurring on or after April 1, 2010 and on or before

    September 30, 2010. The revised IRF outlier threshold amount for FY 2010 was $10,721.

    Sections 1886(j)(3)(ii)(II) and 1886(j)(3)(D)(i) of the Act also required the Secretary to reduce the market basket increase factor in

    FY 2011 by a 0.25 percentage point adjustment. The FY 2011 IRF PPS notice (75 FR 42836) and the correcting amendments to the FY 2011 IRF

    PPS notice (75 FR 70013, November 16, 2010) described the required adjustments to the FY 2011 and FY 2010 IRF PPS Federal prospective payment rates and outlier threshold amount for IRF discharges occurring on or after April 1, 2010 and on or before September 30, 2011. It also updated the FY 2011 Federal prospective payment rates, the CMG relative weights, and the average length of stay values. Any reference to the FY 2011 IRF PPS notice in this final rule also includes the provisions effective in the correcting amendments. For more information on the FY 2010 and FY 2011 adjustments or the updates for FY 2011, please refer to the FY 2011 IRF PPS notice (75 FR 42836 and 75 FR 70013).

  28. Provisions of the Affordable Care Act Affecting the IRF PPS in FY 2012 and Beyond

    The Affordable Care Act included several provisions that affect the

    IRF PPS in FYs 2012 and beyond. In addition to what was discussed above, section 3401(d) of the Affordable Care Act also added section 1886(j)(3)(C)(ii)(I) of the Act (providing for a ``productivity adjustment'' for fiscal year 2012 and each subsequent fiscal year). The productivity adjustment for FY 2012 is discussed in section VI.A.6 of this final rule, and the 0.1 percentage point reduction is discussed in section VI.A of this final rule. Section 1886(j)(3)(C)(ii)(II) of the

    Act notes that the application of these adjustments to the market basket update may result in an update that is less than 0.0 for a fiscal year and in payment rates for a fiscal year being less than payment rates for the preceding fiscal year.

    Section 3004(b) of the Affordable Care Act also addressed the IRF

    PPS program. It reassigned the previously-designated section 1886(j)(7) of the Act to section 1886(j)(8) and inserted a new section 1886(j)(7) of the Act, which contains new requirements for the Secretary to establish a quality reporting program for IRFs. Under that program, data must be submitted in a form and manner, and at a time specified by the Secretary. Beginning in FY 2014, section 1886(j)(7)(A)(i) of the

    Act will require application of a 2 percentage point reduction to the applicable market basket increase factor for IRFs that fail to comply with the quality data submission requirements. Application of the 2 percentage point reduction may result in an update that is less than 0.0 for a fiscal year and in payment rates for a fiscal year being less than payment rates for the preceding fiscal year. Reporting-based reductions to the market basket increase factor will not be cumulative; they will only apply for the FY involved.

    Under section 1886(j)(7)(D)(i) and (ii) of the Act, the Secretary is generally required to select quality measures for the IRF quality reporting program from those that have been endorsed by the consensus- based entity which holds a performance measurement contract under section 1890(a) of the Act. This contract is currently held by the

    National Quality Forum (NQF). So long as due consideration is given to measures that have been endorsed or adopted by a consensus-based organization, section 1886(j)(7)(D)(ii) of the Act authorizes the

    Secretary to select non-endorsed measures for specified areas or medical topics when there are no feasible or practical endorsed measure(s). Under section 1886(j)(7)(D)(iii) of the Act, the Secretary is required to publish the measures that will be used in FY 2014 no later than October 1, 2012.

    Section 1886(j)(7)(E) of the Act requires the Secretary to establish procedures for making the IRF PPS quality reporting data available to the public. Also, the Secretary must ensure that IRFs have the opportunity to review any data prior to its release to the public.

    Future rulemaking will address these public reporting obligations.

    The quality reporting program for IRFs, in accordance with section 1886(j)(7) of the Act, is discussed in detail in section X. of this final rule.

  29. Operational Overview of the Current IRF PPS

    As described in the FY 2002 IRF PPS final rule, upon the admission and discharge of a Medicare Part A fee-for-service patient, the IRF is required to complete the appropriate sections of a patient assessment instrument, designated as the Inpatient Rehabilitation Facility-Patient

    Assessment Instrument (IRF-PAI). In addition, beginning with IRF discharges occurring on or after October 1, 2009, the IRF is also required to complete the appropriate sections of the IRF-PAI upon the admission and discharge of each Medicare Part C (Medicare Advantage) patient, as described in the FY 2010 IRF PPS final rule. All required data must be electronically encoded into the IRF-PAI software product.

    Generally, the software product includes patient classification programming called the GROUPER software. The GROUPER software uses specific IRF-PAI data elements to classify (or group) patients into distinct CMGs and account for the existence of any relevant comorbidities.

    The GROUPER software produces a 5-digit CMG number. The first digit is an alpha-character that indicates the comorbidity tier. The last 4 digits represent the distinct CMG number. Free downloads of the

    Inpatient Rehabilitation Validation and Entry (IRVEN) software product, including the GROUPER software, are available on the CMS Web site at http://www.cms.gov/InpatientRehabFacPPS/06_Software.asp.

    Once a patient is discharged, the IRF submits a Medicare claim as a

    Health Insurance Portability and Accountability Act of 1996 (Pub. L. 104-191, enacted on August 21, 1996) (HIPAA) compliant electronic claim or, if the Administrative Simplification Compliance Act of 2002 (Pub.

    L. 107-105, enacted on December 27, 2002) (ASCA) permits, a paper claim

    (a UB-04 or a CMS-1450 as appropriate) using the five-digit CMG number and sends it to the appropriate Medicare fiscal intermediary (FI) or

    Medicare

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    Administrative Contractor (MAC). Claims submitted to Medicare must comply with both ASCA and HIPAA. For further discussion of these requirements, please see the FY 2011 IRF PPS Notice (75 FR 42836 at 42838).

    The Medicare FI or MAC processes the claim through its software system. This software system includes pricing programming called the

    ``PRICER'' software. The PRICER software uses the CMG number, along with other specific claim data elements and provider-specific data, to adjust the IRF's prospective payment for interrupted stays, transfers, short stays, and deaths, and then applies the applicable adjustments to account for the IRF's wage index, percentage of low-income patients, rural location, and outlier payments. For discharges occurring on or after October 1, 2005, the IRF PPS payment also reflects the new teaching status adjustment that became effective as of FY 2006, as discussed in the FY 2006 IRF PPS final rule (70 FR 47880).

    II. Summary of Provisions of the Proposed Rule

    In the FY 2012 IRF PPS proposed rule (76 FR 24214), we proposed to update the IRF Federal prospective payment rates, to rebase and revise the RPL market basket, to implement refinements to the methodologies for calculating the LIP adjustment, and to establish a new quality reporting program for IRFs in accordance with section 1886(j)(7) of the

    Act. We also proposed to revise existing regulations text for the purpose of updating and providing greater clarity. These proposals are as follows:

  30. Proposed Updates to the IRF Federal Prospective Payment Rates for

    Federal Fiscal Year (FY) 2012

    The proposed updates to the IRF Federal prospective payment rates for FY 2012 are as follows:

    Update the FY 2012 IRF PPS relative weights and average length of stay values using the most current and complete Medicare claims and cost report data in a budget neutral manner, as discussed in section III. of the FY 2012 IRF PPS proposed rule (76 FR 24214, 24219 through 24220).

    Update the FY 2012 IRF facility-level adjustments (rural,

    LIP, and teaching status adjustments) in a budget neutral manner using the most current and complete Medicare claims and cost report data and by removing the weighting methodology previously used to analyze the data, and propose a temporary cap adjustment policy for the teaching status adjustment to reflect interns and residents displaced due to closure of IRFs or IRF residency training programs, as discussed in section IV. of the FY 2012 IRF PPS proposed rule (76 FR 24214, 24226).

    Update the FY 2012 IRF PPS payment rates by the proposed market basket increase factor, based upon the most current data available, with a 0.1 percentage point reduction as required by sections 1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(ii) of the Act and a productivity adjustment required by section 1886(j)(3)(C)(ii)(I) of the

    Act, as described in section V. of the FY 2012 IRF PPS proposed rule

    (76 FR 24214, 24228 through 24241).

    Update the wage index and the labor-related share of the

    FY 2012 IRF PPS payment rates in a budget neutral manner, as discussed in section V. of the FY 2012 IRF PPS proposed rule (76 FR 24214, 24241 through 24244).

    Calculate the IRF Standard Payment Conversion Factor for

    FY 2012, as discussed in section V. of the FY 2012 IRF PPS proposed rule (76 FR 24214, 24244 through 24245).

    Update the outlier threshold amount for FY 2012, as discussed in section VI. of the FY 2012 IRF PPS proposed rule (76 FR 24214, 24248 through 24249).

    Update the cost-to-charge ratio (CCR) ceiling and urban/ rural average CCRs for FY 2012, as discussed in section VI. of the FY 2012 IRF PPS proposed rule 76 (FR 24214, 24249).

    Discuss the impact of the Inpatient Prospective Payment

    System (IPPS) data matching process changes on the IRF PPS calculation of the Supplemental Security Income (SSI) ratios used to compute the

    IRF LIP adjustment factor, as discussed in section VII. of the FY 2012

    IRF PPS proposed rule (76 FR 24214, 24249 through 24250).

    Implement the IRF quality reporting program provisions of section 1886(j)(7) of the Act, as discussed in section IX. of the FY 2012 IRF PPS proposed rule (76 FR 24214, 24252 through 24257).

  31. Proposed Revisions to Existing Regulation Text

    We proposed to revise the existing requirements at Sec. 412.25(b),

    Sec. 412.25(b)(1), Sec. 412.25(b)(2), and Sec. 412.25(b)(3) that apply to all units that are excluded from the IPPS, as described in section VIII. of the FY 2012 IRF PPS proposed rule (76 FR 24214, 24250 through 24252). To amend the regulatory reference to conform with the other proposed changes, we also proposed to revise the existing requirements at Sec. 412.25(e)(2)(ii)(A). With the exception of Sec. 412.25(e)(2)(ii)(A), the proposed revisions would affect both IRFs and

    IPFs.

    We also proposed to relocate and revise the existing requirements at Sec. 412.23(b), Sec. 412.29, and Sec. 412.30 that describe the requirements for facilities to qualify to receive payment under the IRF

    PPS, as described in section VIII. of the FY 2012 IRF PPS proposed rule

    (76 FR 24214, 24252).

    Finally, we proposed to re-designate the existing paragraph Sec. 412.624(c)(4) as Sec. 412.624(c)(5) and add a new paragraph Sec. 412.624(c)(4) to implement the IRF quality reporting program.

    III. Analysis and Responses to Public Comments

    We received approximately 46 timely responses, many of which contained multiple comments on the FY 2012 IRF PPS proposed rule (76 FR 24214) from the public. We received comments from various trade associations, inpatient rehabilitation facilities, individual physicians, therapists, clinicians, health care industry organizations, and health care consulting firms. The following sections, arranged by subject area, include a summary of the public comments that we received, and our responses.

    IV. Update to the Case-Mix Group (CMG) Relative Weights and Average

    Length of Stay Values for FY 2012

    As specified in Sec. 412.620(b)(1), we calculate a relative weight for each CMG that is proportional to the resources needed by an average inpatient rehabilitation case in that CMG. For example, cases in a CMG with a relative weight of 2, on average, will cost twice as much as cases in a CMG with a relative weight of 1. Relative weights account for the variance in cost per discharge due to the variance in resource utilization among the payment groups, and their use helps to ensure that IRF PPS payments support beneficiary access to care, as well as provider efficiency.

    In the FY 2012 proposed rule (76 FR 24214, 24219 through 24225), we proposed to update the CMG relative weights and average length of stay values for FY 2012. As required by statute, we always use the most recent available data to update the CMG relative weights and average lengths of stay. This ensures that the CMG relative weights and average length of stay values reflect as accurately as possible the current costs of care in IRFs. For FY 2012, we proposed to use the FY 2010 IRF claims and FY 2009 IRF cost report data. These data are the most current and complete data available at this time. Currently, only a small portion of the

    Page 47841

    FY 2010 IRF cost report data are available for analysis, but the majority of the FY 2010 IRF claims data are available for analysis.

    We proposed to use the same methodology that we have used to update the CMG relative weights and average length of stay values in the FY 2009 IRF PPS final rule (73 FR 46370), the FY 2010 IRF PPS final rule

    (74 FR 39762), and the FY 2011 notice (75 FR 42836).

    In calculating the CMG relative weights, we use a hospital-specific relative value method to estimate operating (routine and ancillary services) and capital costs of IRFs. The process we use to calculate the CMG relative weights is as follows:

    Step 1. We estimate the effects that comorbidities have on costs.

    Step 2. We adjust the cost of each Medicare discharge (case) to reflect the effects found in the first step.

    Step 3. We use the adjusted costs from the second step to calculate

    CMG relative weights, using the hospital-specific relative value method.

    Step 4. We normalize the FY 2012 CMG relative weights to the same average CMG relative weight from the CMG relative weights implemented in the FY 2011 IRF PPS notice (75 FR 42836).

    Consistent with the methodology that we have used to update the IRF classification system in each instance in the past, we proposed to update the CMG relative weights for FY 2012 in a way that total estimated aggregate payments to IRFs for FY 2012 are the same with or without the changes (that is, in a budget neutral manner) by applying a budget neutrality factor to the standard payment amount. To calculate the appropriate budget neutrality factor for use in updating the FY 2012 CMG relative weights, we use the following steps:

    Step 1. Calculate the estimated total amount of IRF PPS payments for FY 2012 (with no changes to the CMG relative weights).

    Step 2. Calculate the estimated total amount of IRF PPS payments for FY 2012 by applying the changes to the CMG relative weights (as discussed above).

    Step 3. Divide the amount calculated in step 1 by the amount calculated in step 2 to determine the budget neutrality factor (0.9988) that would maintain the same total estimated aggregate payments in FY 2012 with and without the changes to the CMG relative weights.

    Step 4. Apply the budget neutrality factor (0.9988) to the FY 2011

    IRF PPS standard payment amount after the application of the budget- neutral wage adjustment factor.

    In section VI.C. of this final rule, we discuss the use of the existing methodology to calculate the standard payment conversion factor for FY 2012.

    Note that the budget neutrality factor that we used to update the

    CMG relative weights for FY 2012 changed from 0.9989 in the proposed rule to 0.9988 in this final rule due to the use of updated FY 2010 IRF claims data in this final rule.

    We received 2 comments on the proposed updates to the CMG relative weights and average length of stay values, which are summarized below.

    Comment: One commenter expressed confusion about whether CMS might have used an ``older'' methodology to calculate the CMG relative weights in the FY 2011 IRF PPS Notice (75 FR 42836) that differed from the methodology that CMS used to calculate the CMG relative weights in the FY 2009 IRF PPS final rule (73 FR 46370), the FY 2010 IRF PPS final rule (74 FR 39762), or the FY 2012 IRF PPS proposed rule (76 FR 24214).

    Response: We used the same methodology to update the CMG relative weights in the FY 2002 IRF PPS final rule (66 FR 41316), the FY 2006

    IRF PPS final rule (70 FR 47880), and the FY 2007 IRF PPS final rule

    (71 FR 48354). We did not update the CMG relative weights in the FY 2008 IRF PPS final rule (72 FR 44284). In the FY 2009 IRF PPS final rule (73 FR 46370), we implemented one change to the methodology which involved the use of more detailed cost-to-charge ratio (CCR) data from the cost reports of IRF subprovider units of primary acute care hospitals, instead of CCR data from the associated primary acute care hospitals, to calculate IRFs' average costs per case. We have used this same revised methodology from FY 2009 to update the CMG relative weights in the FY 2010 IRF PPS final rule (74 FR 39762), the FY 2011 notice (75 FR 42836), and the FY 2012 IRF PPS proposed rule (76 FR 24214). We continue to use the same methodology that was revised in FY 2009 for updating the CMG relative weights in this final rule.

    Comment: Two commenters requested that CMS provide more information about the methodology that we use to calculate the average length of stay values. One commenter noted that it would be useful for CMS to provide information on the standard deviations for the average length of stay values, and another commenter suggested that we reiterate the purpose of the average length of stay values.

    Response: To calculate the average length of stay values for the proposed and final rules each year, we use the following steps:

    Step 1. Sum the lengths of stay for all of the cases in each CMG and tier using the most current IRF claims data (for this final rule, we used FY 2010 IRF claims data).

    Step 2. Divide the number in step 1 by the number of cases in each

    CMG and tier in the most current IRF claims data (for this final rule, we used FY 2010 IRF claims data) to obtain an average.

    Step 3. Use the average length of stay value calculated in step 2 to identify all of the cases in each CMG and tier that would meet the criteria for payment under the IRF short-stay transfer policy, and remove those cases from the analysis.

    Step 4. Repeat steps 1 through 3 until no additional cases are identified in step 3 (that is, until all of the cases left in step 3 are ``full CMG'' cases that would not meet the short-stay transfer policy criteria).

    As we have stated in previous rules, the average length of stay for each CMG is used to determine when an IRF discharge meets the definition of a short-stay transfer, which results in a per diem case level adjustment. The average length of stay values should not be used to limit a patient's length of stay in an IRF.

    At the request of several of the commenters, we have placed the standard deviations for the proposed average length of stay values from the FY 2012 IRF PPS proposed rule (76 FR 24214) with the other proposed rule data files on the IRF PPS Web site at http://www.cms.gov/InpatientRehabFacPPS/07_DataFiles.asp#TopOfPage. We will continue to provide this information as part of our standard rulemaking files that we post to the Web site in conjunction with the IRF PPS rules.

    Final Decision: After carefully considering all of the comments that we received on the proposed updates to the CMG relative weights and average length of stay values, we are implementing the FY 2012 updates to the CMG relative weights and average length of stay values presented in Table 1 (which are different from the relative weights and average length of stay values that we had proposed because these final values are based on analysis of updated FY 2010 IRF claims data).

    Page 47842

    Table 1--Relative Weights and Average Length of Stay Values for Case-Mix Groups

    Relative weight

    Average length of stay

    CMG

    CMG Description (M = motor, C = ----------------------------------------------------------------------- cognitive, A = age)

    Tier 1 Tier 2 Tier 3

    None

    Tier 1 Tier 2 Tier 3

    None

    0101.......................................... Stroke M > 51.05................ 0.7676 0.7182 0.6451 0.6102

    10

    10

    9

    8 0102.......................................... Stroke M > 44.45 and

    0.9527 0.8913 0.8007 0.7573

    12

    13

    10

    10

    M 18.5......... 0103.......................................... Stroke M > 44.45 and

    1.1377 1.0644 0.9562 0.9043

    14

    14

    12

    12

    M38.85 and

    1.1819 1.1058 0.9934 0.9395

    15

    14

    13

    12

    M 34.25 and

    1.3733 1.2849 1.1542 1.0916

    16

    17

    14

    14

    M 30.05 and

    1.5815 1.4796 1.3291 1.2571

    20

    18

    16

    16

    M 26.15 and

    1.7906 1.6753 1.5049 1.4233

    20

    20

    18

    18

    M 84.5... 2.2178 2.0749 1.8639 1.7629

    31

    25

    23

    22 0109.......................................... Stroke M > 22.35 and

    2.0508 1.9188 1.7236 1.6302

    24

    23

    20

    20

    M 53.35 and C > 23.5......... 0202.......................................... Traumatic brain injury

    1.0613 0.8712 0.8070 0.7327

    12

    12

    10

    10

    M > 44.25 and M 23.5................... 0203.......................................... Traumatic brain injury

    1.2080 0.9917 0.9185 0.8341

    16

    11

    13

    12

    M > 44.25 and C 40.65 and M 28.75 and M 22.05 and M 41.05...................... 0302.......................................... Non-traumatic brain injury

    1.3393 1.2048 1.0689 0.9789

    12

    15

    13

    13

    M > 35.05 and M 26.15 and M 48.45...................... 0402.......................................... Traumatic spinal cord injury

    1.3802 1.1491 1.0453 0.9171

    17

    14

    13

    12

    M > 30.35 and M 16.05 and M 63.5......... 0405.......................................... Traumatic spinal cord injury

    3.8686 3.2206 2.9298 2.5706

    52

    39

    36

    29

    M 51.35 0502.......................................... Non-traumatic spinal cord injury 0.9815 0.9423 0.8404 0.7448

    13

    13

    11

    10

    M > 40.15 and M 31.25 and M 29.25 and M 23.75 and M 47.75.......... 0.9457 0.7992 0.7289 0.6589

    10

    11

    9

    9 0602.......................................... Neurological M > 37.35 and

    1.2516 1.0577 0.9648 0.8721

    12

    13

    12

    11

    M 25.85 and

    1.6164 1.3660 1.2460 1.1263

    17

    16

    14

    14

    M 42.15......................

    Page 47843

    0702.......................................... Fracture of lower extremity

    1.0470 1.0307 0.9927 0.8861

    12

    13

    12

    12

    M > 34.15 and M 28.15 and M 49.55 0802.......................................... Replacement of lower extremity

    0.7725 0.7725 0.7199 0.6573

    8

    11

    9

    9 joint M > 37.05 and............

    M 28.65 and............

    M 83.5......... 0804.......................................... Replacement of lower extremity

    0.9407 0.9407 0.8767 0.8004

    10

    12

    11

    10 joint M > 28.65 and............

    M 22.05 and............

    M 44.75...... 0.8467 0.7460 0.6751 0.6116

    10

    10

    9

    8 0902.......................................... Other orthopedic M > 34.35 and M 1.1324 0.9978 0.9029 0.8180

    12

    13

    12

    11 24.15 and M 1.4503 1.2779 1.1564 1.0477

    16

    16

    14

    13 47.65...................... 1002.......................................... Amputation, lower extremity

    1.3571 1.1931 1.0660 0.9528

    16

    14

    13

    12

    M > 36.25 and M 36.35 1102.......................................... Amputation, non-lower extremity 1.5586 1.5586 1.4783 1.3875

    14

    18

    16

    16

    M 37.65........ 0.8102 0.8102 0.8104 0.7660

    13

    13

    11

    10 1202.......................................... Osteoarthritis M > 30.75 and

    1.0564 1.0564 1.0566 0.9987

    16

    16

    14

    13

    M 36.35...................... 1302.......................................... Rheumatoid, other arthritis

    1.1769 1.2792 1.2792 1.0379

    17

    17

    14

    13

    M > 26.15 and M 48.85............... 0.9411 0.7535 0.6663 0.6026

    10

    10

    9

    8 1402.......................................... Cardiac M > 38.55 and

    1.2638 1.0118 0.8947 0.8092

    13

    12

    11

    10

    M 31.15 and

    1.5263 1.2220 1.0806 0.9773

    18

    14

    13

    12

    M 49.25............. 0.9610 0.8973 0.7734 0.7311

    10

    11

    8

    9 1502.......................................... Pulmonary M > 39.05 and

    1.2094 1.1293 0.9734 0.9201

    13

    13

    11

    11

    M 29.15 and

    1.4914 1.3926 1.2003 1.1346

    16

    16

    13

    13

    M 37.15......... 1.1177 0.8798 0.7721 0.7217

    12

    12

    10

    10 1602.......................................... Pain syndrome M > 26.75 and M 39.25...................... 1702.......................................... Major multiple trauma without

    1.3771 1.2256 1.1123 0.9723

    13

    15

    14

    13 brain or spinal cord injury

    M > 31.05 and M 25.55 and M 40.85...................... 1802.......................................... Major multiple trauma with brain 1.6515 1.3548 1.3080 1.1964

    18

    20

    15

    15 or spinal cord injury

    M > 23.05 and M 35.95........ 1.1498 1.0129 0.9189 0.8923

    13

    14

    12

    12 1902.......................................... Guillain Barre M > 18.05 and

    2.1903 1.9296 1.7504 1.6999

    22

    22

    21

    21

    M 49.15......... 0.8541 0.7547 0.6766 0.6079

    9

    10

    9

    8 2002.......................................... Miscellaneous M > 38.75 and M 27.85 and M 0..................... 2.5153 2.1771 1.7338 1.4053

    34

    23

    19

    18 5001.......................................... Short-stay cases, length of stay ....... ....... ....... 0.1475 ....... ....... .......

    3 is 3 days or fewer 5101.......................................... Expired, orthopedic, length of

    ....... ....... ....... 0.5856 ....... ....... .......

    7 stay is 13 days or fewer 5102.......................................... Expired, orthopedic, length of

    ....... ....... ....... 1.4718 ....... ....... .......

    18 stay is 14 days or more 5103.......................................... Expired, not orthopedic, length ....... ....... ....... 0.6970 ....... ....... .......

    8 of stay is 15 days or fewer 5104.......................................... Expired, not orthopedic, length ....... ....... ....... 1.8778 ....... ....... .......

    23 of stay is 16 days or more

    V. Updates to the Facility-Level Adjustment Factors for FY 2012

  32. Updates to the IRF Facility-Level Adjustment Factors

    Section 1886(j)(3)(A)(v) of the Act confers broad authority upon the Secretary to adjust the per unit payment rate ``by such * * * factors as the Secretary determines are necessary to properly reflect variations in necessary costs of treatment among rehabilitation facilities.'' For example, we adjust the Federal prospective payment amount associated with a CMG to account for facility-level characteristics such as an IRF's LIP, teaching status, and location in a rural area, if applicable, as described in Sec. 412.624(e).

    In the FY 2010 IRF PPS final rule (74 FR 39762), we updated the adjustment factors for calculating the rural, LIP, and teaching status adjustments based on the most recent 3 consecutive years worth of IRF claims data (at that time, FY 2006, FY 2007, and FY 2008) and the most recent available corresponding IRF cost report data. As discussed in the FY 2010 IRF PPS proposed rule (74 FR 21060 through 21061), we observed relatively large year-to-year fluctuations in the underlying data used to compute the adjustment factors, especially the teaching status adjustment factor. Therefore, we implemented a 3-year moving average approach to updating the facility-level adjustment factors in the FY 2010 IRF PPS final rule (74 FR 39762) to provide greater stability and predictability of Medicare payments for IRFs.

    Although the 3-year moving average approach that we implemented in

    FY 2010 improves the year-to-year stability and predictability of the facility-level adjustment factors, we have continued to find unusually large year-to-year fluctuations in the teaching status adjustment factor. To determine the underlying reasons for these large year-to- year fluctuations in the teaching status adjustment factor, we analyzed the data and reviewed the methodology that we were using to estimate all three of the facility-level adjustment factors (that is, the rural, the LIP, and the teaching status adjustment factors). We found that the use of a weighting methodology, which assigns greater weight to some facilities than to others, applied to the regression analysis used to estimate the facility-level adjustment factors inappropriately exaggerated the differences among different types of IRF facilities. We proposed to remove the weighting methodology from our analysis of the facility-level adjustment factors and update the IRF facility-level adjustment factors for FY 2012 using an un-weighted regression analysis.

    We received 22 comments on the proposed updates to the facility- level adjustment factors, which are summarized below.

    Comment: Several commenters requested that CMS release data that would enable facilities to replicate the calculation of the facility- level adjustment factors, provide more information on how CMS calculates the 3-year moving average, and provide more information on

    CMS's research and computations used to support an un-weighted regression methodology.

    Page 47845

    Response: We provided additional information on the calculation of the facility-level adjustment factors on the Inpatient Rehabilitation

    Facility PPS Web page under the ``Research'' link on the left hand side of the page: http://www.cms.gov/InpatientRehabFacPPS/09_Research.asp#TopOfPage. As we stated in the FY 2010 IRF PPS final rule, the 3-year moving average is computed by determining the adjustment factor for each year and then averaging those adjustment factors over 3 years. For FY 2012, we used the adjustment factors generated from our analysis of claims data and the corresponding year's cost report data or, if unavailable, the most recent available cost report data for FY 2008, FY 2009 and FY 2010. Our estimates of the proposed FY 2012 adjustment factors, based on FY 2008, FY 2009, and FY 2010 data, are shown below in Table 2.

    Table 2--Facility-Level Adjustment Factors Using the Un-Weighted Regression Methodology, FY 2012 Proposed Rule

    FY 2012

    FY 2008

    FY 2009

    FY 2010

    proposed

    LIP Adjustment Factor.......................................

    0.1773

    0.2158

    0.1764

    0.1897

    Teaching Status Adjustment Factor...........................

    0.3554

    0.5183

    0.6036

    0.4888

    Rural Adjustment............................................

    0.192

    0.188

    0.182

    0.187

    Comment: Several commenters supported the proposed update to the facility-level adjustment factors in the FY 2012 proposed rule, including the use of an un-weighted regression methodology to determine the facility-level adjustment factors, stating that they believe the changes will result in a more accurate payment system. However, several other commenters expressed concern about the resulting updates to the teaching status and LIP adjustment factors for FY 2012 from using an un-weighted regression methodology. The commenters stated that the proposed updates would create financial hardships for facilities with teaching programs and a higher disproportionate share of low-income patients. Several of the commenters, including the Medicare Payment

    Advisory Commission (MedPAC), suggested that CMS defer the implementation of the un-weighted regression methodology and conduct more analysis on the underlying causes of the instability in the teaching status adjustment factor and on the most appropriate methodology for calculating the facility-level adjustment factors.

    Several other commenters suggested that CMS mitigate the impact of any changes in the facility-level adjustment factors by phasing the changes in over several years, or by capping the amount that a facility adjustment can decrease in a given year.

    Response: We agree with the commenters that it is appropriate to defer implementation of the un-weighted regression methodology for an additional year so that we can further analyze some anomalies that appear to exist in the underlying data. We believe that these anomalies are causing the results of the weighted regression methodology to differ substantially from the results of the un-weighted regression methodology. Thus, we believe that the best course of action for FY 2012 is to defer the implementation of the un-weighted regression methodology while we conduct more research into the reasons for these anomalies and alternative ways of computing the facility-level adjustments that will reduce the volatility in the teaching status adjustment factor and provide the most accurate reflection of cost differences among different types of facilities.

    Comment: One commenter offered several suggestions on ways to improve the computation of the facility-level adjustment factors without altering the weighting methodology. Those suggestions included: pooling three year's worth of data into a single data set to increase sample size; continuing to use existing weighted regression model, but with added control variables; and matching claims to corresponding cost report data, even if that creates a 3-year lag in the last data year used and the IRF PPS payment year.

    Response: We appreciate all of the suggestions that we received on ways to improve our methodology for computing the facility-level adjustments and will take those suggestions under advisement while we continue to research ways to ensure that we are using the best methods to determine the facility-level adjustments.

    Final Decision: After carefully considering all of the comments that we received on the proposed updates to the rural, LIP and teaching status adjustment factors for FY 2012, we are holding the facility- level adjustment factors at FY 2011 levels for FY 2012 while we conduct further research on the underlying data and the best methodology for calculating the facility-level adjustment factors. Thus, the facility- level adjustments factors for FY 2012 will be the same as those finalized in the FY 2011 IRF PPS notice (75 FR 42836 at 42848), which were the same as those finalized in the FY 2010 IRF PPS final rule (74

    FR 39762 at 39775). For the convenience of the reader, we reiterate the final adjustment factors (from the FY 2010 IRF PPS final rule) as follows: For FY 2012, the IRF PPS payments to IRFs in rural areas will be computed with an 18.4 percent upward adjustment for rural status.

    IRF PPS payments to eligible IRFs that qualify for the LIP adjustment for FY 2012 will be adjusted using a LIP adjustment formula of (1 + disproportionate share hospital (DSH) patient percentage) raised to the power of (0.4613), where the--

    GRAPHIC

    TIFF OMITTED TR05AU11.013

    Finally, IRF PPS payments to eligible IRFs that qualify for the teaching status adjustment will be adjusted by the following formula for FY 2012: (1 + full-time equivalent (FTE) interns and residents/ average daily census) raised to the power of (0.6876).

    Page 47846

    In section VI.C. of this final rule, we discuss the methodology for calculating the standard payment conversion factor for FY 2012.

  33. Policy for Temporary Cap Adjustments To Reflect Interns and

    Residents Displaced Due to Closure of IRFs or IRF Residency Training

    Programs 1. Background

    In the FY 2006 IRF PPS final rule (70 FR 47880 at 47928 through 47932), we implemented regulations at Sec. 412.624(e)(4) to establish a facility-level adjustment for IRFs that are, or are part of, teaching hospitals. The teaching status adjustment accounts for the higher indirect operating costs experienced by hospitals that participate in graduate medical education (GME) programs. The payment adjustments are made based on the number of FTE interns and residents training in the

    IRF and the IRF's average daily census.

    We established the IRF teaching status adjustment in a manner that limited the incentives for IRFs to add FTE interns and residents for the purpose of increasing their teaching status adjustment. We imposed a cap on the number of FTE interns and residents that may be counted for purposes of calculating the teaching status adjustment. The cap limits the number of FTE interns and residents that teaching IRFs may count for the purpose of calculating the IRF PPS teaching status adjustment, not the number of interns and residents teaching institutions can hire or train. We calculated the number of FTE interns and residents that trained in the IRF during a ``base year'' and used that FTE intern and resident number as the cap. An IRF's FTE intern and resident cap is ultimately determined based on the final settlement of the IRF's most recent cost reporting period ending on or before

    November 15, 2004. A complete discussion of how the IRF teaching status adjustment was calculated appears in the FY 2006 IRF PPS final rule (70

    FR 47880, 47928 through 47932). 2. FTE Intern and Resident Temporary Cap Adjustment

    Sometimes, interns and residents that are training in an IRF find themselves unable to complete their training in the IRF, either because the IRF closes or closes a residency training program (we refer to these interns and residents as ``displaced''). Although we have not heard of any instances where IRFs did not accept displaced interns and residents because the additional interns and residents would put the facility over the facility's FTE intern and resident cap, we believe that it is important to maintain consistent policies with other

    Medicare PPS systems, to the extent feasible. The IPPS indirect medical education (IME) adjustment and the direct GME policies contain provisions that allow for temporary adjustments to the IME/GME caps for

    IPPS hospitals that train interns and residents that are displaced because a hospital closes or closes a medical residency training program. We have recently implemented a similar temporary cap adjustment policy for the inpatient psychiatric facility (IPF) PPS teaching status adjustment outlined in the rate year 2012 IPF PPS final rule (76 FR 26432 at 26454 through 26456). Consistent with the IPPS and the IPF PPS, in the FY 2012 IRF PPS proposed rule (76 FR 24214), we proposed to permit a temporary increase in the FTE intern and resident cap when an IRF increases the number of FTE interns and residents it trains in order to accept displaced interns and residents because another IRF closes or closes a medical residency training program.

    When an IRF temporarily takes on interns and residents that are displaced because another IRF closes or closes a residency training program, we believe that a temporary adjustment to the cap would be appropriate. In these situations, interns and residents may have partially completed a residency training program at the IRF that has closed or closed a training program and may be unable to complete their training at another IRF that is already training interns and residents up to or in excess of its FTE intern and resident cap. We believe that it is appropriate to allow temporary adjustments to the FTE caps for an

    IRF that provides residency training to medical interns and residents who have partially completed a residency training program at an IRF that closes or at an IRF that discontinues training interns and residents in a residency training program(s). For this reason, we are adopting the following temporary intern and resident cap adjustment policies, similar to the temporary adjustments to the FTE cap used for acute care hospitals and the temporary adjustments to the FTE caps for

    IPFs.

    The cap adjustment will be temporary because it is intern and resident specific and will only apply to the displaced intern(s) or resident(s) until those intern(s) or resident(s) have completed their training in the program in which they were training at the time of the

    IRF closure or the closure of the program. As under the IPPS policy for displaced interns and residents, the IRF PPS temporary cap adjustment will apply only to interns and residents that were still training at the IRF at the time the IRF closed or at the time the IRF ceased training interns and residents in the residency training program(s).

    Interns and residents who leave the IRF, for whatever reason, before the closure of the IRF or the closure of the residency training program will not be considered displaced interns and residents for purposes of the IRF temporary cap adjustment policy. We are adopting the same definition of ``closure of a hospital residency training program'' as it is currently defined at Sec. 413.79(h)(1)(ii); that is, the hospital ceases to offer training for residents in a particular approved medical residency training program. Similarly, as under the

    IPPS policy, medical students who are accepted into a program at an IRF but the IRF or residency training program closes before the individual begins training at that IRF are also not considered displaced interns and residents for purposes of the IRF temporary cap adjustments. We note that although we are adopting a policy under the IRF PPS that is consistent with the policy applicable under the IPPS, the actual caps under the two payment systems are separate and distinct. This means, for example, if a program closes at an IPPS hospital that has an IRF unit, but the interns and residents from that closed program were not rotating into the IRF unit when the program closed, then there would be no temporary FTE cap adjustment under the IRF PPS, since the interns and residents were not displaced from the IRF. However, if an IPPS hospital that has an IRF unit closes a training program and interns and residents from that program were rotating into the IRF unit when the program closed, an IRF hospital or IRF unit may temporarily adjust their FTE intern and resident cap if they train the displaced interns and residents, but only for the portion of the training that has to be completed in the IRF setting and only if all of the requirements specified in section IV.C. of this final rule are met. 3. Temporary Adjustment to the FTE Cap To Reflect Interns and Residents

    Displaced Due to an IRF Closure

    We will allow an IRF to receive a temporary adjustment to the FTE cap to reflect interns and residents added because of another IRF's closure. The temporary cap adjustment is intended to account for medical interns and residents who have partially completed a medical residency training program at

    Page 47847

    the IRF that has closed and may be unable to complete their training at another IRF because that IRF is already training interns and residents up to or in excess of its cap. We are implementing this change because

    IRFs may be reluctant to accept additional interns and residents from a closed IRF without a temporary adjustment to their caps. For purposes of this policy, we are adopting the IPPS definition of ``closure of a hospital'' in Sec. 413.79(h)(1)(i) to mean the IRF terminates its

    Medicare provider agreement as specified in Sec. 489.52. Therefore, we will allow a temporary adjustment to an IRF's FTE cap to reflect interns and residents added because of an IRF's closure. The policy will be effective for cost reporting periods beginning on or after

    October 1, 2011, when an IRF trains an intern or resident from an IRF that closed. We will allow an adjustment to an IRF's FTE cap if the IRF meets the following criteria:

    (a) The IRF is training displaced interns and residents from an IRF that closed.

    (b) The IRF that is training the displaced interns and residents from the closed IRF submits a timely request for a temporary adjustment to its FTE cap to its Medicare contractor. Requests generally must be submitted no later than 60 days after the hospital first begins training the displaced interns and residents. In the case of an IRF that is already training the displaced interns and residents as of

    October 1, 2011, requests must be submitted by December 1, 2011.

    Requests must document that the IRF is eligible for this temporary adjustment to its FTE cap by identifying the interns and residents who have come from the closed IRF and have caused the IRF to exceed its cap, (or the IRF may already be over its cap), and specifies the length of time that the adjustment is needed.

    After the displaced interns and residents leave the IRF's training program or complete their residency program, the IRF's cap will revert to its original level. Therefore, the temporary adjustment to the FTE cap will be available to the IRF only for the period of time necessary for the displaced interns and residents to complete their training.

    Further, as under the IPPS policy, the total amount of temporary cap adjustment that can be allotted to all receiving IRFs cannot exceed the cap amount of the IRF that closed.

    We also note that section 5506 of the Affordable Care Act,

    ``Preservation of Resident Cap Positions from Closed Hospitals,'' does not apply to IRFs that closed. Section 5506 of the Affordable Care Act only amends sections 1886(d) and (h) of the Act for direct GME and IPPS

    IME payments. Therefore, the IME FTE cap redistributions under section 5506 of the Affordable Care Act only apply to ``subsection (d)'' IPPS hospitals. Section 5506 of the Affordable Care Act has no applicability to the teaching status adjustments under the IRF PPS (or the IPF PPS, for that matter). 4. Temporary Adjustment to FTE Cap to Reflect Interns and Residents

    Displaced Due to a Residency Program Closure

    If an IRF ceases training interns and residents in a residency training program(s) and agrees to temporarily reduce its FTE cap, another IRF may receive a temporary adjustment to its FTE cap to reflect the addition of the displaced interns and residents. For purposes of this policy on closed residency programs, we are adopting the IPPS definition of ``closure of a hospital residency training program'' as specified in Sec. 413.79(h)(1)(ii) which means that the hospital ceases to offer training for interns and residents in a particular approved medical residency training program. The methodology for adjusting the caps for the ``receiving IRF'' and the ``IRF that closed its program'' is described below. a. Receiving IRF

    An IRF may receive a temporary adjustment to its FTE cap to reflect interns and residents added because of the closure of another IRF's residency training program for cost reporting periods beginning on or after October 1, 2011 if--

    The IRF is training displaced interns and residents from the residency training program of an IRF that closed its program; and

    The IRF that is training the displaced interns and residents from the closed program must submit a timely request for a temporary adjustment to its FTE cap to its Medicare contractor.

    Requests generally must be submitted no later than 60 days after the

    IRF begins to train the interns and residents. In the case of an IRF that is already training the displaced interns and residents as of

    October 1, 2011, requests must be submitted by December 1, 2011.

    Requests must document that the IRF is eligible for this temporary adjustment by identifying the interns and residents who have come from another IRF's closed program and have caused the IRF to exceed its cap

    (or the IRF may already be in excess of its cap), specifies the length of time the adjustment is needed, and, as explained in more detail below, submits to its Medicare contractor a copy of the FTE cap reduction statement by the IRF closing the residency training program.

    In general, the temporary adjustment criteria established for closed medical residency training programs at IRFs is similar to the criteria established for closed IRFs. More than 1 IRF may be eligible to apply for the temporary adjustment because interns and residents from one closed program may rotate to different IRFs, or they may complete their training at more than one IRF. Also, only to the extent to which an IRF would exceed its FTE cap by training displaced interns and residents would it be eligible for the temporary adjustment. Thus, for example, if the IRF has room below its cap to take 1 additional displaced FTE intern or resident but taking a second displaced FTE intern or resident would cause the IRF to exceed its FTE intern and resident cap, then the IRF would potentially qualify for a temporary cap adjustment for 1 FTE intern or resident, not 2. b. IRF That Closed Its Program(s)

    An IRF that agrees to train interns and residents who have been displaced by the closure of another IRF's residency training program may receive a temporary FTE cap adjustment only if the IRF that closed its program meets the following criteria--

    Temporarily reduces its FTE cap by the number of FTE interns and residents in each program year training and in the program at the time of the program's closure. The yearly reduction would be determined by deducting the number of those interns and residents who would have been training in the program up to the IRF's cap during the year of the closure, had the program not closed; and

    Submits a timely statement to its Medicare contractor that has been signed and dated by its representative that specifies that it agrees to the temporary reduction in its FTE cap to allow the IRF training the displaced interns and residents to obtain a temporary adjustment to its cap. Statements generally must be submitted no later than 60 days after the interns and residents who were in the closed program begin training at another IRF. In the situation where another

    IRF is already training the displaced interns and residents as of

    October 1, 2011, statements must be submitted no later than December 1, 2011. The statement must identify the interns and residents who were training at the time of the program's closure, identify the IRFs to which the interns and residents are transferring once the program closes,

    Page 47848

    and specify the reduction for the applicable program years.

    In addition, under this closed program policy, in order for the receiving IRF(s) to qualify for a temporary adjustment to their FTE cap, the IRFs that are closing their programs would need to reduce their FTE cap for the expected duration of time the displaced interns and residents would need to finish their training. We are implementing this because the IRF that closes the program still retains the FTE slots in its cap, even if the IRF chooses not to fill the slots with interns and residents. We believe that it is inappropriate to allow an increase to the receiving IRF's cap without an attendant decrease to the cap of the IRF with the closed program, because the IRF that ceased training the interns and residents could fill these slots with interns and residents from other programs even if the increase and related decrease is only temporary.

    The cap reduction for the IRF with the closed program will be based on the number of FTE interns and residents in each program year that were in the program at the IRF at the time of the program's closure, and who begin training at another IRF.

    We received 3 comments on the proposed temporary adjustment to the

    FTE cap to reflect interns and residents displaced due to an IRF closure or a residency training program closure, which are summarized below.

    Comment: One commenter suggested that the proposed temporary adjustment to the FTE cap would be too difficult for CMS to monitor.

    This commenter also stated that few IRFs with teaching programs have taken displaced interns and residents.

    Response: We believe that a policy allowing for temporary adjustments to the FTE caps for IRFs that take displaced interns and residents would be no more difficult to monitor than the similar policy that is already being administered for IPPS hospitals. Although we agree that few IRFs currently take displaced interns and residents, we believe that it is reasonable to allow for temporary adjustments to the

    FTE caps for those IRFs that do.

    Comment: Two commenters strongly supported our proposed policy to allow a temporary adjustment to the intern and resident cap when an IRF accepts interns or residents that are displaced due to an IRF closure or a residency training program closure. However, these commenters requested that CMS modify the proposed policy to allow IRFs to receive the temporary cap adjustment if they are training displaced interns or residents as of October 1, 2011.

    Response: We share the commenters' concern for those FTE interns and residents who have been displaced before October 1, 2011 due to closure of an IRF or a residency training program. We carefully considered the commenters' request that CMS modify the IRF temporary cap adjustment policy to allow IRFs that volunteered to train displaced interns and residents before October 1, 2011 to receive the temporary cap adjustment. In keeping with the similar policy for IPPS hospitals, we are revising our proposed policy to allow IRFs to receive temporary cap adjustments for cost reporting periods beginning on or after

    October 1, 2011 for displaced interns and residents that they are training as of October 1, 2011. For example, if an IRF closed or closed a residency training program on October 1, 2009, then an intern or resident who was in their first program year at that time would likely be in their third program year as of October 1, 2011 and thus would still be in the middle of their training. An IRF that assumed the training of this intern or resident who was displaced by the 2009 IRF or residency training program closure would be eligible to receive a temporary cap adjustment for cost reporting periods beginning on or after October 1, 2011. As noted above, an IRF that is requesting the temporary cap adjustment for the displaced interns and residents that it is training as of October 1, 2011 must submit the required documentation to CMS no later than December 1, 2011.

    Final Decision: After carefully considering the comments that we received on the proposed temporary adjustment to the FTE cap to reflect interns and residents displaced due to an IRF closure or the closure of a residency training program, we are implementing the new policy for

    IRFs as proposed, with the one exception noted above. We will allow

    IRFs to qualify for the temporary cap adjustment for cost reporting periods beginning on or after October 1, 2011 if they are already training interns and residents displaced by IRF closures or residency program closures that occurred prior to October 1, 2011. In these instances, all required documentation must be received by CMS no later than December 1, 2011. IRFs that meet the criteria will be eligible to receive temporary adjustments to their FTE caps for cost reporting periods beginning on or after October 1, 2011.

    VI. FY 2012 IRF PPS Federal Prospective Payment Rates

  34. Market Basket Increase Factor, Productivity Adjustment, and Labor-

    Related Share for FY 2012

    Section 1886(j)(3)(C) of the Act requires the Secretary to establish an increase factor that reflects changes over time in the prices of an appropriate mix of goods and services included in the covered IRF services, which is referred to as a market basket index.

    According to section 1886(j)(3)(A)(i) of the Act, the increase factor shall be used to update the IRF Federal prospective payment rates for each FY. Sections 1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(ii) of the

    Act require the application of a 0.1 percentage point reduction to the market basket increase factor for FYs 2012 and 2013. In addition, section 1886(j)(3)(C)(ii)(I) of the Act requires the application of a productivity adjustment, as described below. Thus, in this final rule, we are updating the IRF PPS payments for FY 2012 by a market basket increase factor based upon the most current data available, with a productivity adjustment as required by section 1886(j)(3)(C)(ii)(I) of the Act as described below and a 0.1 percentage point reduction as required by sections 1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(ii) of the

    Act. Further, we are rebasing the RPL market basket from a 2002-based market basket to a 2008-based market basket. We typically rebase the

    RPL market basket every 5 to 7 years to ensure that it continues to reflect the most accurate account of the cost of relevant goods and services.

    Thus, in this final rule, we start with a rebased RPL market basket

    (updated from a 2002 base year to a 2008 base year) and then apply a productivity adjustment as required by section 1886(j)(3)(C)(ii)(I) of the Act and a 0.1 percentage point reduction as required by sections 1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(ii) of the Act. In section

    VI.A.1 of this final rule, we describe the methodology for rebasing the

    RPL market basket from a 2002 base year to a 2008 base year, and then in section VI.A.2 of this final rule, we describe the methodology for calculating the productivity adjustment as required by section 1886(j)(3)(C)(ii)(I) of the Act. Finally, in section VI.A.3 of this final rule, we describe the calculation of the market basket increase factor to be used to adjust IRF PPS payments for FY 2012.

    Page 47849

    1. Rebasing and Revising of the RPL Market Basket Used for IRF PPS for

    FY 2012 a. Background

    The input price index (that is, the market basket) that was used to develop the IRF PPS was the Excluded Hospital with Capital market basket. This market basket was based on 1997 Medicare cost report data and included data for Medicare participating IRFs, IPFs, LTCHs, cancer hospitals, and children's hospitals. Although ``market basket'' technically describes the mix of goods and services used in providing hospital care, this term is also commonly used to denote the input price index (that is, cost category weights and price proxies combined) derived from that market basket. Accordingly, the term ``market basket'', as used in this document, refers to an input price index.

    Beginning with FY 2006, IRF PPS payments were updated using a FY 2002-based RPL market basket reflecting the operating and capital cost structures for freestanding IRFs, freestanding IPFs, and LTCHs (70 FR 47908). We excluded cancer and children's hospitals from the RPL market basket because their payments are based entirely on reasonable costs subject to rate-of-increase limits established under the authority of section 1886(b) of the Act, which is implemented at Sec. 413.40.

    Cancer and children's hospitals are not reimbursed through a PPS. Also, the FY 2002 cost structures for cancer and children's hospitals are noticeably different than the cost structures of freestanding IRFs, freestanding IPFs, and LTCHs. A complete discussion of the FY 2002- based RPL market basket can be found in the FY 2006 IRF PPS final rule

    (70 FR 47908 through 47915).

    In the FY 2010 IRF PPS proposed rule (74 FR 21062), we expressed our interest in exploring the possibility of creating a stand-alone IRF market basket that reflects the cost structures of only IRF providers.

    We noted that, of the available options, one is to combine the Medicare cost report data from freestanding IRF providers (presently incorporated into the FY 2002-based RPL market basket) with data from hospital-based IRF providers. We indicated that an examination of the

    Medicare cost report data comparing freestanding and hospital-based

    IRFs revealed considerable differences between the two types of providers, both in terms of cost levels and cost structures. At that time, we were unable to fully understand the differences between these two types of IRF providers. As a result, we believed that further research was required and we solicited public comment for additional information that might help us to better understand the reasons for the variations in costs and cost structures, as indicated by the cost report data, between freestanding and hospital-based IRFs (74 FR 21062).

    We summarized the public comments we received and our responses in the FY 2010 IRF PPS final rule (74 FR 39762, 39776 through 39777).

    Despite receiving comments from the public on this issue, we remain unable to sufficiently understand the observed differences in costs and cost structures between hospital-based and freestanding IRFs, and therefore we do not believe it is appropriate, at this time, to incorporate data from hospital-based IRFs with those of freestanding

    IRFs to create a stand-alone IRF market basket.

    Although we do not believe it would be appropriate to propose a stand-alone IRF market basket, we are currently exploring the viability of creating two separate market baskets from the current RPL, one of which would include freestanding IRFs and freestanding IPFs and would be used to update payments under both the IPF and IRF payment systems.

    The other would be a stand-alone LTCH market basket. Depending on the outcome of our research, we anticipate the possibility of proposing a rehabilitation and psychiatric (RP) market basket in the next update cycle.

    In the FY 2012 IRF PPS proposed rule (76 FR 24229), we invited public comment on the possibility of using this type of market basket to update IRF payments in the future.

    Comment: One commenter stated that CMS' ongoing work to develop a market basket that reflects freestanding IRF and freestanding IPF data should be research that CMS continues to explore. The commenter also stressed that a separate market basket which excludes LTC hospital costs must be contingent on the availability of reliable data from a representative group of IRF and IPF facilities.

    Response: We will consider the commenters' concerns as we continue to investigate the feasibility of developing a market basket derived using data from freestanding IPF and freestanding IRF providers. We agree that before moving away from the existing RPL market basket, we must be confident that we have reliable data gathered from a representative group of IRF and IPF providers. Any change to the market basket used to update IRF payments will also be subject to the rulemaking process.

    Comment: One commenter recommended that CMS proceed with caution in its efforts to create a market basket based solely on freestanding IRF and freestanding IPF data. They noted that there are substantial geographic differences in the location of RPL providers. Several commenters requested that CMS share its research with the industry in advance of any proposed rulemaking so that any unintended consequences of a change could be addressed by CMS and stakeholders.

    Response: We agree with the commenter's observation that there are substantial geographic differences in the location of IRF and IPF facilities. We would note that the CMS market baskets, including the

    RPL, necessarily reflect the relative costs of inputs for a given base year at the national level. We will continue to investigate the feasibility of creating a market basket that is nationally representative and is based on IPF and IRF data. Any changes to the market basket, including changes in methodology, would be subject to the rulemaking process.

    For this update cycle (FY 2012), we are finalizing our intent to continue to use an RPL market basket based on freestanding IRF, freestanding IPF, and long term care hospital (LTCH) data. We will continue to pursue the feasibility of creating two separate market baskets from the current RPL, one of which would include freestanding

    IRFs and freestanding IPFs and would be used to update payments under both the IPF and IRF payment systems. The other would be a stand-alone

    LTCH market basket.

    For this update cycle, we proposed to rebase and revise the FY 2002-based RPL market basket to a FY 2008-based RPL market basket. In the following discussion, we provide an overview of the market basket and describe the methodologies we use for purposes of determining the operating and capital portions of the proposed FY 2008-based RPL market basket. b. Overview of the FY 2008-Based RPL Market Basket

    The FY 2008-based RPL market basket is a fixed-weight, Laspeyres- type price index. A Laspeyres price index measures the change in price, over time, of the same mix of goods and services purchased in the base period. Any changes in the quantity or mix of goods and services (that is, intensity) purchased over time relative to a base period are not measured.

    The index itself is constructed in three steps. First, a base period is selected (in the proposed rule, the base period is FY 2008) and total base period expenditures are estimated for a set of mutually exclusive and exhaustive

    Page 47850

    spending categories with the proportion of total costs that each category represents being calculated. These proportions are called cost or expenditure weights. Second, each expenditure category is matched to an appropriate price or wage variable, referred to as a price proxy. In nearly every instance, these price proxies are derived from publicly available statistical series that are published on a consistent schedule (preferably at least on a quarterly basis). Finally, the expenditure weight for each cost category is multiplied by the level of its respective price proxy. The sum of these products (that is, the expenditure weights multiplied by their price levels) for all cost categories yields the composite index level of the market basket in a given period. Repeating this step for other periods produces a series of market basket levels over time. Dividing an index level for a given period by an index level for an earlier period produces a rate of growth in the input price index over that timeframe.

    As noted above, the market basket is described as a fixed-weight index because it represents the change in price over time of a constant mix (quantity and intensity) of goods and services needed to furnish hospital services. The effects on total expenditures resulting from changes in the mix of goods and services purchased subsequent to the base period are not measured. For example, a hospital hiring more nurses to accommodate the needs of patients would increase the volume of goods and services purchased by the hospital, but would not be factored into the price change measured by a fixed-weight hospital market basket. Only when the index is rebased would changes in the quantity and intensity be captured, with those changes being reflected in the cost weights. Therefore, we rebase the market basket periodically so that the cost weights reflect recent changes in the mix of goods and services that hospitals purchase (hospital inputs) to furnish inpatient care between base periods. c. Rebasing and Revising of the RPL Market Basket

    The terms ``rebasing'' and ``revising,'' while often used interchangeably, actually denote different activities. ``Rebasing'' means moving the base year for the structure of costs of an input price index (for example, in the proposed rule, we proposed to shift the base year cost structure for the RPL market basket from FY 2002 to FY 2008).

    ``Revising'' means changing data sources, price proxies, or methods, used to derive the input price index. For FY 2012, we proposed to rebase and revise the market basket used to update the IRF PPS.

    (1) Development of Cost Categories and Weights

    (a) Medicare Cost Reports

    The FY 2008-based RPL market basket consists of several major cost categories derived from the FY 2008 Medicare cost reports for freestanding IRFs, freestanding IPFs, and LTCHs including wages and salaries, pharmaceuticals, professional liability insurance (PLI), capital, and a residual. This residual reflects all remaining costs that are not captured in the four cost categories listed above. The FY 2008 cost reports include providers whose cost report begin date is on or between October 1, 2007, and September 30, 2008. We choose to use FY 2008 as the base year because we believe that the Medicare cost reports for this year represent the most recent, complete set of Medicare cost report data available for IRFs, IPFs, and LTCHs. However, there is an issue with obtaining data specifically for benefits and contract labor from this set of FY 2008 Medicare cost reports since IRFs, IPFs, and

    LTCHs were not required to complete the Medicare cost report worksheet from which these data were collected (Worksheet S-3, part II). As a result, only a small number of providers (less than 30 percent) reported data for these categories, and we do not expect these data to improve over time. Furthermore, since IRFs, IPFs, and LTCHs were not required to submit data for Worksheet S-3, part II in previous cost reporting years, we have always had this issue of incomplete Medicare cost report data for benefits and contract labor (including when we finalized the FY 2002-based RPL market basket). Due to the incomplete benefits and contract labor data for IRFs, IPFs, and LTCHs, we will develop these cost weights using FY 2008 Medicare cost report data for

    IPPS hospitals (similar to the method that was used for the FY 2002- based RPL market basket). Additional detail is provided later in this section.

    Since our goal is to measure cost shares that are reflective of case mix and practice patterns associated with providing services to

    Medicare beneficiaries, we proposed to limit our selection of Medicare cost reports to those from hospitals that have a Medicare average length of stay (LOS) that is within a comparable range of their total facility average LOS. We believe this provides a more accurate reflection of the structure of costs for Medicare covered days. We use the cost reports of IRFs and LTCHs with Medicare average LOS within 15 percent (that is, 15 percent higher or lower) of the total facility average LOS for the hospital. This is the same edit applied to derive the FY 2002-based RPL market basket and generally includes those LTCHs and IRFs with Medicare LOS within approximately 5 days of the facility average LOS of the hospital.

    We use a less stringent measure of Medicare LOS for IPFs. For this provider-type, and in order to produce a robust sample size, we will use those facilities' Medicare cost reports whose average LOS is within 30 or 50 percent (depending on the total facility average LOS) of the total facility average LOS. This is the same edit applied to derive the

    FY 2002-based RPL market basket.

    We applied these LOS edits to first obtain a set of cost reports for facilities that have a Medicare LOS within a comparable range of their total facility LOS. Using this set of Medicare cost reports, we then calculated cost weights for 4 cost categories and a residual as represented by all other costs directly from the FY 2008 Medicare cost reports for freestanding IRFs, freestanding IPFs, and LTCHs (see Table 3 for these four cost categories and their associated weights). These

    Medicare cost report cost weights were then supplemented with information obtained from other data sources (explained in more detail below) to derive the proposed FY 2008-based RPL market basket cost weights.

    Table 3--Major Cost Categories and Their Respective Cost Weights as

    Calculated Directly From FY 2008 Medicare Cost Reports

    FY 2008-based

    RPL market

    Major cost categories

    basket

    (percent)

    Wages and salaries......................................

    47.371

    Professional Liability Insurance (Malpractice)..........

    0.764

    Page 47851

    Pharmaceuticals.........................................

    6.514

    Capital.................................................

    8.392

    All other...............................................

    36.959

    (b) Other Data Sources

    In addition to the IRF, IPF and LTCH Medicare cost reports for freestanding IRFs and freestanding IPFs, and LTCHs, the other data sources we used to develop the proposed FY 2008-based RPL market basket cost weights were the FY 2008 IPPS Medicare cost reports and the

    Benchmark Input-Output (I-O) Tables created by the Bureau of Economic

    Analysis (BEA), U.S. Department of Commerce. The FY 2008 Medicare cost reports include providers whose cost report begin date is on or between

    October 1, 2007 and September 30, 2008.

    As noted above, the FY 2008-based RPL cost weights for benefits and contract labor were derived using FY 2008-based IPPS Medicare cost reports. We used these Medicare cost reports to calculate cost weights for Wages and Salaries, Benefits, and Contract Labor for IPPS hospitals for FY 2008. For the Benefits cost weight for the FY 2008-based RPL market basket, the ratio of the FY 2008 IPPS Benefits cost weight to the FY 2008 IPPS Wages and Salaries cost weight was applied to the RPL

    Wages and Salaries cost weight. Similarly, the ratio of the FY 2008

    IPPS Contract Labor cost weight to the FY 2008 IPPS Wages and Salaries cost weight was applied to the RPL Wages and Salaries cost weight to derive a Contract Labor cost weight for the proposed FY 2008-based RPL market basket.

    The All Other cost category is divided into other hospital expenditure category shares using the 2002 BEA Benchmark I-O data following the removal of the portions of the All Other cost category provided in Table 3 that are attributable to Benefits and Contract

    Labor. The BEA Benchmark I-O data are scheduled for publication every 5 years. The most recent data available are for 2002. BEA also produces

    Annual I-O estimates; however, the 2002 Benchmark I-O data represent a much more comprehensive and complete set of data that are derived from the 2002 Economic Census. The Annual I-O is simply an update of the

    Benchmark I-O tables. For the FY 2002-based RPL market basket, we used the 1997 Benchmark I-O data. We use the 2002 Benchmark I-O data in the

    FY 2008-based RPL market basket. Instead of using the less detailed

    Annual I-O data, we inflated the 2002 Benchmark I-O data forward to 2008. The methodology we used to inflate the data forward involves applying the annual price changes from the respective price proxies to the appropriate cost categories. We repeat this practice for each year.

    The ``All Other'' cost category expenditure shares are determined as being equal to each category's proportion to total ``all other'' based on the inflated 2002 Benchmark I-O data. For instance, if the cost for telephone services represented 10 percent of the sum of the

    ``all other'' Benchmark I-O hospital expenditures, then telephone services would represent 10 percent of the RPL market basket's All

    Other cost category.

    Comment: One commenter supported using the latest available data to update the IRF PPS; however, the commenter observed that CMS relied on acute care hospital data for certain items (that is, Employee Benefits,

    Contract Labor) that were not collected in the RPL settings. The commenter recommend that CMS consider revisions to the cost report data for the RPL settings to collect this information in advance of the next rebasing to allow the use of specific RPL data for all cost categories, weights, and price proxies.

    Response: Effective for cost reports beginning on or after May 1, 2010, we finalized a revised Hospital and Hospital Health Care Complex

    Cost Report, Form CMS 2552-10, which is available for download from the

    CMS Web page at http://www.cms.gov/Transmittals/2010Trans/list.asp?intNumPerPage=10 by clicking on the link to CMS Transmittal

    R1P240. Form CMS 2552-10 includes a new worksheet (Worksheet

    S-3, part V) which identifies the contract labor costs and benefit costs for the hospital complex and is applicable to sub-providers and units. We believe that all providers will report this data so that we will be able to include it in future market basket rebasings.

    (2) Final Cost Category Computation

    As stated previously, for this rebasing we proposed to use the

    Medicare cost reports for IRFs, IPFs, and LTCHs to derive four major cost categories. The proposed FY 2008-based RPL market basket includes 2 additional cost categories that were not broken out separately in the

    FY 2002-based RPL market basket: ``Administrative and Business Support

    Services'' and ``Financial Services''. The inclusion of these 2 additional cost categories, which are derived using the Benchmark I-O data, is consistent with the addition of these two cost categories to the FY 2006-based IPPS market basket (74 FR 43845). We are breaking out both categories so we can better match their respective expenses with more appropriate price proxies. A thorough discussion of our rationale for each of these cost categories is provided in section VI.A.1.c.(3) of this final rule. Also, the FY 2008-based RPL market basket excludes 1 cost category: Photo Supplies. The 2002 Benchmark I-O weight for this category is considerably smaller than the 1997 Benchmark I-O weight, presently accounting for less than one-tenth of one percentage point of the RPL market basket. Therefore, we will include the photo supplies costs in the Chemical cost category weight with other similar chemical products.

    We are not changing our definition of the labor-related share.

    However, we are renaming our aggregate cost categories from ``labor- intensive'' and ``nonlabor-intensive'' services to ``labor-related'' and ``nonlabor-related'' services. This is consistent with the FY 2006- based IPPS market basket (74 FR 43845). As discussed in more detail below and similar to the FY 2002-based RPL market basket, we classify a cost category as labor-related and include it in the labor-related share if the cost category is defined as being labor-intensive and its cost varies with the local labor market. In previous regulations, we grouped cost categories that met both of these criteria into labor- intensive services. We believe the new labels more accurately reflect the concepts that they are intended to

    Page 47852

    convey. We are not changing our definition of the labor-related share because we continue to classify a cost category as labor-related if the costs are labor-intensive and vary with the local labor market.

    (3) Selection of Price Proxies

    After computing the FY 2008 cost weights for the rebased RPL market basket, it was necessary to select appropriate wage and price proxies to reflect the rate of price change for each expenditure category. With the exception of the proxy for PLI, all of the proxies for the operating portion of the proposed FY 2008-based RPL market basket are based on Bureau of Labor Statistics (BLS) data and are grouped into one of the following BLS categories:

    (a) Producer Price Indexes--Producer Price Indexes (PPIs) measure price changes for goods sold in markets other than the retail market.

    PPIs are preferable price proxies for goods and services that hospitals purchase as inputs because these PPIs better reflect the actual price changes faced by hospitals. For example, we use a special PPI for prescription drugs, rather than the Consumer Price Index (CPI) for prescription drugs, because hospitals generally purchase drugs directly from a wholesaler. The PPIs that we use measure price changes at the final stage of production.

    (b) Consumer Price Indexes--CPIs measure change in the prices of final goods and services bought by the typical consumer. Because they may not represent the price faced by a producer, we used CPIs only if an appropriate PPI was not available, or if the expenditures were more similar to those faced by retail consumers in general rather than by purchasers of goods at the wholesale level. For example, the CPI for food purchased away from home is used as a proxy for contracted food services.

    (c) Employment Cost Indexes--Employment Cost Indexes (ECIs) measure the rate of change in employee wage rates and employer costs for employee benefits per hour worked. These indexes are fixed-weight indexes and strictly measure the change in wage rates and employee benefits per hour. Appropriately, these indexes are not affected by shifts in employment mix.

    We evaluated the price proxies using the criteria of reliability, timeliness, availability, and relevance. Reliability indicates that the index is based on valid statistical methods and has low sampling variability. Timeliness implies that the proxy is published regularly, preferably at least once a quarter. Availability means that the proxy is publicly available. Finally, relevance means that the proxy is applicable and representative of the cost category weight to which it is applied. The proposed CPIs, PPIs, and ECIs selected meet these criteria.

    Table 4 sets forth the proposed FY 2008-based RPL market basket including cost categories, and their respective weights and price proxies. For comparison purposes, the corresponding FY 2002-based RPL market basket cost weights are listed, as well. For example, Wages and

    Salaries are 49.447 percent of total costs in the proposed FY 2008- based RPL market basket compared to 52.895 percent for the FY 2002- based RPL market basket. Employee Benefits are 12.831 percent in the proposed FY 2008-based RPL market basket compared to 12.982 percent for the FY 2002-based RPL market basket. As a result, compensation costs

    (Wages and Salaries plus Employee Benefits) for the proposed FY 2008- based RPL market basket are 62.278 percent of total costs compared to 65.877 percent for the FY 2002-based RPL market basket.

    Following Table 4 is a summary outlining the choice of the proxies we are using for the operating portion of the FY 2008-based RPL market basket. The price proxies for the capital portion are described in more detail in the capital methodology section (see section VI.A.1.c.(4) of this final rule).

    We note that the proxies for the operating portion of the FY 2008- based RPL market basket are the same as those used for the FY 2006- based IPPS operating market basket. Because these proxies meet our criteria of reliability, timeliness, availability, and relevance, we believe they are the best measures of price changes for the cost categories. For further discussion on the FY 2006-based IPPS market basket, see the IPPS final rule published in the August 27, 2009

    Federal Register (74 FR 43843).

    Table 4--FY 2008-Based RPL Market Basket Cost Categories, Weights, and Price Proxies with FY 2002-Based RPL

    Market Basket Cost Weights Included for Comparison

    FY 2008-based FY 2002-based

    RPL market

    RPL market

    FY 2008-based RPL market basket

    Cost categories

    basket cost

    basket cost

    price proxies weights

    weights

    1. Compensation...............................

    62.278

    65.877

  35. Wages and Salaries\1\......................

    49.447

    52.895 ECI for Wages and Salaries,

    Civilian Hospital Workers.

  36. Employee Benefits\1\.......................

    12.831

    12.982 ECI for Benefits, Civilian

    Hospital Workers. 2. Utilities..................................

    1.578

    0.656

  37. Electricity................................

    1.125

    0.351 PPI for Commercial Electric

    Power.

  38. Fuel, Oil, and Gasoline....................

    0.371

    0.108 PPI for Petroleum Refineries.

  39. Water and Sewage...........................

    0.082

    0.197 CPI-U for Water and Sewerage

    Maintenance. 3. Professional Liability Insurance...........

    0.764

    1.161 CMS Hospital Professional

    Liability Insurance Premium

    Index. 4. All Other Products and Services............

    26.988

    22.158

  40. All Other Products.........................

    15.574

    13.325

    (1.) Pharmaceuticals..........................

    6.514

    5.103 PPI for Pharmaceutical

    Preparations for Human Use

    (Prescriptions).

    (2.) Food: Direct Purchases...................

    2.959

    0.873 PPI for Processed Foods and

    Feeds.

    (3.) Food: Contract Services..................

    0.392

    0.620 CPI-U for Food Away From Home.

    (4.) Chemicals \2\............................

    1.100

    1.100 Blend of Chemical PPIs.

    (5.) Medical Instruments......................

    1.795

    1.014 PPI for Medical, Surgical, and

    Personal Aid Devices.

    (6.) Photographic Supplies....................

    0.096

    (7.) Rubber and Plastics......................

    1.131

    1.052 PPI for Rubber and Plastic

    Products.

    (8.) Paper and Printing Products..............

    1.021

    1.000 PPI for Converted Paper and

    Paperboard Products.

    (9.) Apparel..................................

    0.210

    0.207 PPI for Apparel.

    (10.) Machinery and Equipment.................

    0.106

    0.297 PPI for Machinery and Equipment.

    Page 47853

    (11.) Miscellaneous Products..................

    0.346

    1.963 PPI for Finished Goods less Food and Energy.

  41. All Other Services.........................

    11.414

    8.833

    (1.) Labor-related Services...................

    4.681

    5.111

    (a.) Professional Fees: Labor-related \3\.....

    2.114

    2.892 ECI for Compensation for

    Professional and Related

    Occupations.

    (b.) Administrative and Business Support

    0.422

    n/a ECI for Compensation for Office

    Services \4\.

    and Administrative Services.

    (c.) All Other: Labor-Related Services \5\....

    2.145

    2.219 ECI for Compensation for Private

    Service Occupations.

    (2.) Nonlabor-Related Services................

    6.733

    3.722

    (a.) Professional Fees: Nonlabor-Related \3\..

    4.211

    n/a ECI for Compensation for

    Professional and Related

    Occupations.

    (b.) Financial Services \5\...................

    0.853

    n/a ECI for Compensation for

    Financial Activities.

    (c.) Telephone Services.......................

    0.416

    0.240 CPI-U for Telephone Services.

    (d.) Postage..................................

    0.630

    0.682 CPI-U for Postage.

    (e.) All Other: Nonlabor-Related Services \4\.

    0.623

    2.800 CPI-U for All Items less Food and Energy. 5. Capital-Related Costs......................

    8.392

    10.149

  42. Depreciation...............................

    5.519

    6.187

    (1.) Fixed Assets.............................

    3.286

    4.250 BEA chained price index for nonresidential construction for hospitals and special care facilities--vintage weighted

    (26 years).

    (2.) Movable Equipment........................

    2.233

    1.937 PPI for Machinery and Equipment-- vintage weighted (11 years).

  43. Interest Costs.............................

    1.954

    2.775

    (1.) Government/Nonprofit.....................

    0.653

    2.081 Average yield on domestic municipal bonds (Bond Buyer 20 bonds)--vintage-weighted (26 years).

    (2.) For Profit...............................

    1.301

    0.694 Average yield on Moody's Aaa bonds--vintage-weighted (26 years).

  44. Other Capital-Related Costs................

    0.919

    1.187 CPI-U for Residential Rent.

    Total.....................................

    100.000

    100.000

    Note: Detail may not add to total due to rounding.

    \1\ Contract Labor is distributed to Wages and Salaries and Employee Benefits based on the share of total compensation that each category represents.

    \2\ To proxy the Chemicals cost category, we used a blended PPI composed of the PPI for Industrial Gases, the

    PPI for Other Basic Inorganic Chemical Manufacturing, the PPI for Other Basic Organic Chemical Manufacturing, and the PPI for Soap and Cleaning Compound Manufacturing. For more detail about this proxy, see section

    V.A.1.c.(3).(c).(x) of this proposed rule.

    \3\ The Professional Fees: Labor-related and Professional Fees: Nonlabor-related cost categories were included in one cost category called Professional Fees in the FY 2002-based RPL market basket. For more detail about how these new categories were derived, we refer readers to sections VI.A.1.c.(3).(c).(xviii) and

    VI.A.1.c.(3).(c).(xxi) of this final rule.

    \4\ The Administrative and Business Support Services cost category was contained within All Other: Labor- intensive Services cost category in the FY 2002-based RPL market basket. The All Other: Labor-intensive

    Services cost category is renamed the All Other: Labor-related Services cost category for the FY 2008-based

    RPL market basket.

    \5\ The Financial Services cost category was contained within the All Other: Non-labor Intensive Services cost category in the FY 2002-based RPL market basket. The All Other: Non-labor Intensive Services cost category is renamed the All Other: Nonlabor-related Services cost category for the FY 2008-based RPL market basket.

    (i) Wages and Salaries

    We use the ECI for Wages and Salaries for Hospital Workers (All

    Civilian) (BLS series code CIU1026220000000I) to measure the price growth of this cost category. This same proxy was used in the FY 2002- based RPL market basket.

    (ii) Employee Benefits

    We use the ECI for Employee Benefits for Hospital Workers (All

    Civilian) to measure the price growth of this cost category. This same proxy was used in the FY 2002-based RPL market basket.

    (iii) Electricity

    We use the PPI for Commercial Electric Power (BLS series code

    WPU0542). This same proxy was used in the FY 2002-based RPL market basket.

    (iv) Fuel, Oil, and Gasoline

    For the FY 2002-based RPL market basket, this category only included expenses classified under North American Industry

    Classification System (NAICS) 21 (Mining). We proxied this category using the PPI for Commercial Natural Gas (BLS series code WPU0552). For the FY 2008-based market basket, we add costs to this category that had previously been grouped in other categories. The added costs include petroleum-related expenses under NAICS 324110 (previously captured in the miscellaneous category), as well as petrochemical manufacturing classified under NAICS 325110 (previously captured in the chemicals category). These added costs represent 80 percent of the hospital industry's fuel, oil, and gasoline expenses (or 80 percent of this category). Because the majority of the industry's fuel, oil, and gasoline expenses originate from petroleum refineries (NAICS 324110), we use the PPI for Petroleum Refineries (BLS series code

    PCU324110324110) as the proxy for this cost category.

    Page 47854

    (v) Water and Sewage

    We use the CPI for Water and Sewerage Maintenance (All Urban

    Consumers) (BLS series code CUUR0000SEHG01) to measure the price growth of this cost category. This same proxy was used in the FY 2002-based

    RPL market basket.

    (vi) Professional Liability Insurance

    We proxy price changes in hospital PLI premiums using percentage changes as estimated by the CMS Hospital Professional Liability Index.

    To generate these estimates, we collect commercial insurance premiums for a fixed level of coverage while holding non-price factors constant

    (such as a change in the level of coverage). This method is also used to proxy PLI price changes in the Medicare Economic Index (75 FR 73268). This same proxy was used in the FY 2002-based RPL market basket.

    (vii) Pharmaceuticals

    We use the PPI for Pharmaceuticals for Human Use, Prescription (BLS series code WPUSI07003) to measure the price growth of this cost category. We note that we are not making a change to the PPI that is used to proxy this cost category. There was a recent change to the BLS naming convention for this series; however, this is the same proxy that was used in the FY 2002-based RPL market basket.

    (viii) Food: Direct Purchases

    We use the PPI for Processed Foods and Feeds (BLS series code

    WPU02) to measure the price growth of this cost category. This same proxy was used in the FY 2002-based RPL market basket.

    (ix) Food: Contract Services

    We use the CPI for Food Away From Home (All Urban Consumers) (BLS series code CUUR0000SEFV) to measure the price growth of this cost category. This same proxy was used in the FY 2002-based RPL market basket.

    (x) Chemicals

    We use a blended PPI composed of the PPI for Industrial Gas

    Manufacturing (NAICS 325120) (BLS series code PCU325120325120P), the

    PPI for Other Basic Inorganic Chemical Manufacturing (NAICS 325180)

    (BLS series code PCU32518-32518-), the PPI for Other Basic Organic

    Chemical Manufacturing (NAICS 325190) (BLS series code PCU32519-32519-

    ), and the PPI for Soap and Cleaning Compound Manufacturing (NAICS 325610) (BLS series code PCU32561-32561-). Using the 2002 Benchmark I-O data, we found that these NAICS industries accounted for approximately 90 percent of the hospital industry's chemical expenses.

    Therefore, we use this blended index because we believe its composition better reflects the composition of the purchasing patterns of hospitals than does the PPI for Industrial Chemicals (BLS series code WPU061), the proxy used in the FY 2002-based RPL market basket.

    Table 5 shows the weights for each of the four PPIs used to create the blended PPI, which we determined using the 2002 Benchmark I-O data.

    Table 5--Blended Chemical PPI Weights

    Weights (in

    Name

    percent)

    NAICS

    PPI for Industrial Gas Manufacturing

    35

    325120

    PPI for Other Basic Inorganic

    25

    325180

    Chemical Manufacturing.............

    PPI for Other Basic Organic Chemical

    30

    325190

    Manufacturing......................

    PPI for Soap and Cleaning Compound

    10

    325610

    Manufacturing......................

    (xi) Medical Instruments

    We use the PPI for Medical, Surgical, and Personal Aid Devices (BLS series code WPU156) to measure the price growth of this cost category.

    In the 1997 Benchmark I-O data, approximately half of the expenses classified in this category were for surgical and medical instruments.

    Therefore, we used the PPI for Surgical and Medical Instruments and

    Equipment (BLS series code WPU1562) to proxy this category in the FY 2002-based RPL market basket. The 2002 Benchmark I-O data show that surgical and medical instruments now represent only 33 percent of these expenses and that the largest expense category is surgical appliance and supplies manufacturing (corresponding to BLS series code WPU1563).

    Due to this reallocation of costs over time, we are changing the price proxy for this cost category to the more aggregated PPI for Medical,

    Surgical, and Personal Aid Devices.

    (xii) Photographic Supplies

    We eliminate the cost category specific to photographic supplies for the proposed FY 2008 based RPL market basket. These costs are now included in the Chemicals cost category because the costs are presently reported as all other chemical products. Notably, although we are eliminating the specific cost category, these costs are still accounted for within the RPL market basket.

    (xiii) Rubber and Plastics

    We use the PPI for Rubber and Plastic Products (BLS series code

    WPU07) to measure price growth of this cost category. This same proxy was used in the FY 2002-based RPL market basket.

    (xiv) Paper and Printing Products

    We use the PPI for Converted Paper and Paperboard Products (BLS series code WPU0915) to measure the price growth of this cost category.

    This same proxy was used in the FY 2002-based RPL market basket.

    (xv) Apparel

    We use the PPI for Apparel (BLS series code WPU0381) to measure the price growth of this cost category. This same proxy was used in the FY 2002-based RPL market basket.

    (xvi) Machinery and Equipment

    We use the PPI for Machinery and Equipment (BLS series code WPU11) to measure the price growth of this cost category. This same proxy was used in the FY 2002-based RPL market basket.

    (xvii) Miscellaneous Products

    We use the PPI for Finished Goods Less Food and Energy (BLS series code WPUSOP3500) to measure the price growth of this cost category.

    Using this index removes the double-counting of food and energy prices, which are already captured elsewhere in the market basket. This same proxy was used in the FY 2002-based RPL market basket.

    (xviii) Professional Fees: Labor-Related

    We use the ECI for Compensation for Professional and Related

    Occupations (Private Industry) (BLS series code CIS2020000120000I) to measure the price growth of this category. It includes occupations such as legal, accounting, and engineering services. This same proxy was used in the FY 2002-based RPL market basket.

    Page 47855

    (xix) Administrative and Business Support Services

    We use the ECI for Compensation for Office and Administrative

    Support Services (Private Industry) (BLS series code CIU2010000220000I) to measure the price growth of this category. Previously these costs were included in the All Other: Labor-intensive category (now renamed the All Other: Labor-related Services category), and were proxied by the ECI for Compensation for Service Occupations. We believe that this compensation index better reflects the changing price of labor associated with the provision of administrative services and its incorporation represents a technical improvement to the market basket.

    (xx) All Other: Labor-Related Services

    We use the ECI for Compensation for Service Occupations (Private

    Industry) (BLS series code CIU2010000300000I) to measure the price growth of this cost category. This same proxy was used in the FY 2002- based RPL market basket.

    (xxi) Professional Fees: Nonlabor-Related

    We use the ECI for Compensation for Professional and Related

    Occupations (Private Industry) (BLS series code CIS2020000120000I) to measure the price growth of this category. This is the same price proxy that we are using to use for the Professional Fees: Labor-related cost category.

    (xxii) Financial Services

    We use the ECI for Compensation for Financial Activities (Private

    Industry) (BLS series code CIU201520A000000I) to measure the price growth of this cost category. Previously these costs were included in the All Other: Nonlabor-intensive category (now renamed the All Other:

    Nonlabor-related Services category), and were proxied by the CPI for

    All Items. We believe that this compensation index better reflects the changing price of labor associated with the provision of financial services and its incorporation represents a technical improvement to the market basket.

    (xxiii) Telephone Services

    We use the CPI for Telephone Services (BLS series code

    CUUR0000SEED) to measure the price growth of this cost category. This same proxy was used in the FY 2002-based RPL market basket.

    (xxiv) Postage

    We use the CPI for Postage (BLS series code CUUR0000SEEC01) to measure the price growth of this cost category. This same proxy was used in the FY 2002-based RPL market basket.

    (xxv) All Other: Nonlabor-Related Services

    We use the CPI for All Items Less Food and Energy (BLS series code

    CUUR0000SA0L1E) to measure the price growth of this cost category.

    Previously these costs were proxied by the CPI for All Items in the FY 2002-based RPL market basket. We believe that using the CPI for All

    Items Less Food and Energy removes the double counting of changes in food and energy prices, as they are already captured elsewhere in the market basket. Consequently, we believe that the incorporation of this proxy represents a technical improvement to the market basket.

    Comment: One commenter observed that the compensation cost weight showed a decline from the FY 2002 to FY 2008 base year. The commenter noted that these reductions may be a result of low salary increases salary freezes or other similar factors and are not necessarily indicative of a reduction in the labor intensity of the services provided by IRFs.

    Response: We agree with the commenter that a variety of factors and trends can influence changes in the cost shares of the RPL market basket. Relative to growth in nonlabor costs, slower growth in the cost of labor (due to low salary increases or freezes in salary), could result in a lower cost weight associated with wages and salaries.

    Likewise, stable growth in labor costs coupled with relatively faster growth in nonlabor costs could also result in a lower cost weight associated with wages and salaries. As the rebased and revised 2008- based RPL market basket's cost weights reflect an updated distribution of costs and represent the best available data, we are finalizing this market basket in this final rule.

    (4) Methodology for Capital Portion of the RPL Market Basket

    In the FY 2002-based RPL market basket, we did not have freestanding IRF, freestanding IPF, and LTCH 2002 Medicare cost report data for the capital cost weights, due to a change in the 2002 reporting requirements. Therefore, we used these hospitals' 2001 expenditure data for the capital cost categories of depreciation, interest, and other capital expenses, and inflated the data to a 2002 base year using relevant price proxies.

    For the FY 2008-based RPL market basket, we calculate weights for the proposed RPL market basket capital costs using the same set of FY 2008 Medicare cost reports used to develop the operating share for

    IRFs, IPFs, and LTCHs. To calculate the total capital cost weight, we first apply the same LOS edits as applied when calculating the operating cost weights as described above in section VI.A.1.c.(1)(a) of this final rule. The resulting capital weight for the FY 2008 base year is 8.392 percent.

    Lease expenses are unique in that they are not broken out as a separate cost category in the RPL market basket, but rather are proportionally distributed amongst the cost categories of Depreciation,

    Interest, and Other, reflecting the assumption that the underlying cost structure of leases is similar to that of capital costs in general. As was done in the FY 2002-based RPL market basket, we first assumed 10 percent of lease expenses represents overhead and assigned those costs to the ``Other Capital-Related Costs'' category accordingly. The remaining lease expenses were distributed across the 3 cost categories based on the respective weights of depreciation, interest, and other capital not including lease expenses.

    Depreciation contains two subcategories: (1) Building and Fixed

    Equipment; and (2) Movable Equipment. The apportionment between building and fixed equipment and movable equipment was determined using the FY 2008 Medicare cost reports for freestanding IRFs, freestanding

    IPFs, and LTCHs. This methodology was also used to compute the apportionment used in the FY 2002-based RPL market basket (70 FR 47912).

    The total Interest expense cost category is split between government/nonprofit interest and for-profit interest. The FY 2002- based RPL market basket allocated 75 percent of the total Interest cost weight to government/nonprofit interest and proxied that category by the average yield on domestic municipal bonds. The remaining 25 percent of the Interest cost weight was allocated to for-profit interest and was proxied by the average yield on Moody's Aaa bonds (70 FR 47912).

    This was based on the FY 2002-based IPPS Capital input price index

    (CIPI) (70 FR 23406) due to insufficient Medicare cost report data for freestanding IRFs, freestanding IPFs, and LTCHs. For the FY 2008-based

    RPL market basket, we proposed to derive the split using the FY 2008

    Medicare cost report data on interest expenses for government/nonprofit and for-profit freestanding IRFs, freestanding IPFs, and LTCHs. Based on these data, we calculated a 33/67 split between government/nonprofit and for-profit interest. We believe it is important that

    Page 47856

    this split reflects the latest relative cost structure of interest expenses for RPL providers. As stated above, we first apply the LOS edits (as described in section VI.A.1.c.(1)(a) of this final rule) prior to calculating this split. Therefore, we are using cost reports that are reflective of case mix and practice patterns associated with providing services to Medicare beneficiaries. Using data specific to government/nonprofit and for-profit freestanding IRFs, freestanding

    IPFs, and LTCHs as well as the application of these LOS edits are the primary reasons for the difference in this split relative to the FY 2002-based RPL market basket.

    Because capital is acquired and paid for over time, capital expenses in any given year are determined by both past and present purchases of physical and financial capital. The vintage-weighted capital portion of the FY 2008-based RPL market basket is intended to capture the long-term consumption of capital, using vintage weights for depreciation (physical capital) and interest (financial capital). These vintage weights reflect the proportion of capital purchases attributable to each year of the expected life of building and fixed equipment, movable equipment, and interest. We use the vintage weights to compute vintage-weighted price changes associated with depreciation and interest expense.

    Vintage weights are an integral part of the proposed FY 2008-based

    RPL market basket. Capital costs are inherently complicated and are determined by complex capital purchasing decisions, over time, based on such factors as interest rates and debt financing. In addition, capital is depreciated over time instead of being consumed in the same period it is purchased. The capital portion of the FY 2008-based RPL market basket reflects the annual price changes associated with capital costs, and would be a useful simplification of the actual capital investment process. By accounting for the vintage nature of capital, we are able to provide an accurate and stable annual measure of price changes.

    Annual nonvintage price changes for capital are unstable due to the volatility of interest rate changes and, therefore, do not reflect the actual annual price changes for Medicare capital-related costs. The capital component of the proposed FY 2008-based RPL market basket reflects the underlying stability of the capital acquisition process and provides hospitals with the ability to plan for changes in capital payments.

    To calculate the vintage weights for depreciation and interest expenses, we needed a time series of capital purchases for building and fixed equipment and movable equipment. We found no single source that provides an appropriate time series of capital purchases by hospitals for all of the above components of capital purchases. The early

    Medicare cost reports did not have sufficient capital data to meet this need. Data we obtained from the American Hospital Association (AHA) do not include annual capital purchases. However, AHA does provide a consistent database back to 1963. We used data from the AHA Panel

    Survey and the AHA Annual Survey to obtain a time series of total expenses for hospitals. We then used data from the AHA Panel Survey supplemented with the ratio of depreciation to total hospital expenses obtained from the Medicare cost reports to derive a trend of annual depreciation expenses for 1963 through 2008.

    To estimate capital purchases using data on depreciation expenses, the expected life for each cost category (building and fixed equipment, movable equipment, and interest) is needed to calculate vintage weights. For the FY 2002-based RPL market basket, due to insufficient

    Medicare cost report data for freestanding IRFs, freestanding IPFs, and

    LTCHs, we used 2001 Medicare Cost Reports for IPPS hospitals to determine the expected life of building and fixed equipment and movable equipment (70 FR 47913). The FY 2002-based RPL market basket was based on an expected life of building and fixed equipment of 23 years. It used 11 years as the expected life for movable equipment. We believed that this data source reflected the latest relative cost structure of depreciation expenses for hospitals at the time and was analogous to freestanding IRFs, freestanding IPFs, and LTCHs.

    The expected life of any piece of equipment can be determined by dividing the value of the asset (excluding fully depreciated assets) by its current year depreciation amount. This calculation yields the estimated useful life of an asset if depreciation were to continue at current year levels, assuming straight-line depreciation. Following a similar method to what was applied for the FY 2002-based RPL market basket, we use the expected life of building and fixed equipment to be equal to 26 years, and the expected life of movable equipment to be 11 years. These expected lives are calculated using FY 2008 Medicare cost reports for IPPS hospitals since we are currently unable to obtain robust measures of the expected lives for building and fixed equipment and movable equipment using the Medicare cost reports from freestanding

    IRFs, freestanding IPFs, and LTCHs.

    We also use the building and fixed equipment and movable equipment weights derived from FY 2008 Medicare cost reports for freestanding

    IRFs, freestanding IPFs, and LTCHs to separate the depreciation expenses into annual amounts of building and fixed equipment depreciation and movable equipment depreciation. Year-end asset costs for building and fixed equipment and movable equipment were determined by multiplying the annual depreciation amounts by the expected life calculations. We then calculated a time series, back to 1963, of annual capital purchases by subtracting the previous year asset costs from the current year asset costs. From this capital purchase time series, we were able to calculate the vintage weights for building and fixed equipment and for movable equipment. Each of these sets of vintage weights is explained in more detail below.

    For the building and fixed equipment vintage weights, we used the real annual capital purchase amounts for building and fixed equipment to capture the actual amount of the physical acquisition, net of the effect of price inflation. This real annual purchase amount for building and fixed equipment was produced by deflating the nominal annual purchase amount by the building and fixed equipment price proxy,

    BEA's chained price index for nonresidential construction for hospitals and special care facilities. Because building and fixed equipment have an expected life of 26 years, the vintage weights for building and fixed equipment are deemed to represent the average purchase pattern of building and fixed equipment over 26-year periods. With real building and fixed equipment purchase estimates available from 2008 back to 1963, we averaged twenty 26-year periods to determine the average vintage weights for building and fixed equipment that are representative of average building and fixed equipment purchase patterns over time. Vintage weights for each 26-year period are calculated by dividing the real building and fixed capital purchase amount in any given year by the total amount of purchases in the 26- year period. This calculation is done for each year in the 26-year period, and for each of the twenty 26-year periods. We used the average of each year across the twenty 26-year periods to determine the average building and fixed equipment vintage weights for the FY 2008-based RPL market basket.

    For the movable equipment vintage weights, the real annual capital

    Page 47857

    purchase amounts for movable equipment were used to capture the actual amount of the physical acquisition, net of price inflation. This real annual purchase amount for movable equipment was calculated by deflating the nominal annual purchase amounts by the movable equipment price proxy, the PPI for Machinery and Equipment. This is the same proxy used for the FY 2002-based RPL market basket. Based on our determination that movable equipment has an expected life of 11 years, the vintage weights for movable equipment represent the average expenditure for movable equipment over an 11-year period. With real movable equipment purchase estimates available from 2008 back to 1963, thirty-five 11-year periods were averaged to determine the average vintage weights for movable equipment that are representative of average movable equipment purchase patterns over time. Vintage weights for each 11-year period are calculated by dividing the real movable capital purchase amount for any given year by the total amount of purchases in the 11-year period. This calculation was done for each year in the 11-year period and for each of the thirty-five 11-year periods. We used the average of each year across the thirty-five 11- year periods to determine the average movable equipment vintage weights for the FY 2008-based RPL market basket.

    For the interest vintage weights, the nominal annual capital purchase amounts for total equipment (building and fixed, and movable) were used to capture the value of the debt instrument. Because we have determined that hospital debt instruments have an expected life of 26 years, the vintage weights for interest are deemed to represent the average purchase pattern of total equipment over 26-year periods. With nominal total equipment purchase estimates available from 2008 back to 1963, twenty 26-year periods were averaged to determine the average vintage weights for interest that are representative of average capital purchase patterns over time. Vintage weights for each 26-year period are calculated by dividing the nominal total capital purchase amount for any given year by the total amount of purchases in the 26-year period. This calculation is done for each year in the 26-year period and for each of the twenty 26-year periods. We used the average of each year across the twenty 26-year periods to determine the average interest vintage weights for the FY 2008-based RPL market basket. The vintage weights for the capital portion of the FY 2002-based RPL market basket and the FY 2008-based RPL market basket are presented in Table 6.

    Table 6--FY 2002 and FY 2008 Vintage Weights for Capital-Related Price Proxies

    Building and fixed equipment

    Movable Equipment

    Interest

    Year

    FY 2002 23

    FY 2008 26

    FY 2002 11

    FY 2008 11

    FY 2002 23

    FY 2008 26 years

    years

    years

    years

    years

    years

    1.......................................................

    0.021

    0.021

    0.065

    0.071

    0.010

    0.010 2.......................................................

    0.022

    0.023

    0.071

    0.075

    0.012

    0.012 3.......................................................

    0.025

    0.025

    0.077

    0.080

    0.014

    0.014 4.......................................................

    0.027

    0.027

    0.082

    0.083

    0.016

    0.016 5.......................................................

    0.029

    0.028

    0.086

    0.085

    0.019

    0.018 6.......................................................

    0.031

    0.030

    0.091

    0.089

    0.023

    0.020 7.......................................................

    0.033

    0.031

    0.095

    0.092

    0.026

    0.021 8.......................................................

    0.035

    0.033

    0.100

    0.098

    0.029

    0.024 9.......................................................

    0.038

    0.035

    0.106

    0.103

    0.033

    0.026 10......................................................

    0.040

    0.037

    0.112

    0.109

    0.036

    0.029 11......................................................

    0.042

    0.039

    0.117

    0.116

    0.039

    0.033 12......................................................

    0.045

    0.041 .............. ..............

    0.043

    0.035 13......................................................

    0.047

    0.042 .............. ..............

    0.048

    0.038 14......................................................

    0.049

    0.043 .............. ..............

    0.053

    0.041 15......................................................

    0.051

    0.044 .............. ..............

    0.056

    0.043 16......................................................

    0.053

    0.045 .............. ..............

    0.059

    0.046 17......................................................

    0.056

    0.046 .............. ..............

    0.062

    0.049 18......................................................

    0.057

    0.047 .............. ..............

    0.064

    0.052 19......................................................

    0.058

    0.047 .............. ..............

    0.066

    0.053 20......................................................

    0.060

    0.045 .............. ..............

    0.070

    0.053 21......................................................

    0.060

    0.045 .............. ..............

    0.071

    0.055 22......................................................

    0.061

    0.045 .............. ..............

    0.074

    0.056 23......................................................

    0.061

    0.046 .............. ..............

    0.076

    0.060 24...................................................... ..............

    0.046 .............. .............. ..............

    0.063 25...................................................... ..............

    0.045 .............. .............. ..............

    0.064 26...................................................... ..............

    0.046 .............. .............. ..............

    0.068

    Total...............................................

    1.000

    1.000

    1.000

    1.000

    1.000

    1.000

    Note: Numbers may not add to total due to rounding.

    After the capital cost category weights were computed, it was necessary to select appropriate price proxies to reflect the rate-of- increase for each expenditure category. We use the same price proxies for the capital portion of the FY 2008-based RPL market basket that were used in the FY 2002-based RPL market basket with the exception of the Boeckh Construction Index. We replaced the Boeckh Construction

    Index with BEA's chained price index for nonresidential construction for hospitals and special care facilities. The BEA index represents construction of facilities such as hospitals, nursing homes, hospices, and rehabilitation centers. Although these price indices move similarly over time, we believe that it is more technically appropriate to use an index that is more specific to the hospital industry. We believe these are the most appropriate proxies for hospital capital costs that meet our

    Page 47858

    selection criteria of relevance, timeliness, availability, and reliability.

    The price proxies (prior to any vintage weighting) for each of the capital cost categories are the same as those used for the FY 2006- based CIPI as described in the IPPS FY 2010 final rule (74 FR at 43857).

    We received no comments related to the proposed capital portion of the RPL methodology including the selection of cost categories, cost weights, and the price proxies. Therefore, we are finalizing the capital portion of the 2008-based RPL market basket as proposed with no further changes.

    (5) FY 2012 RPL Market Basket Update Factor for IRFs

    For FY 2012 (that is, beginning October 1, 2011 and ending

    September 30, 2012), we will use an estimate of the FY 2008-based RPL market basket increase factor based on the best available data.

    Consistent with historical practice, we estimate the RPL market basket update for the IRF PPS based on IHS Global Insight's forecast using the most recent available data. IHS Global Insight (IGI), Inc. is a nationally recognized economic and financial forecasting firm that contracts with CMS to forecast the components of the market baskets.

    Based on IGI's 1st quarter 2011 forecast with historical data through the fourth quarter of 2010, the projected market basket increase factor for FY 2012 was 2.8 percent. Consistent with our historical practice of estimating market basket increases based on the best available data, we proposed a market basket increase factor of 2.8 percent for FY 2012. We also proposed that if more recent data became subsequently available (for example, a more recent estimate of the market basket), we would use that data, if appropriate, to determine the FY 2012 update in the final rule.

    Based on IGI's second quarter 2011 forecast with history through the first quarter of 2011, the projected market basket update for FY 2012 based on the 2008-based RPL market basket is 2.9 percent.

    Using the current FY 2002-based RPL market basket and IGI's second quarter 2011 forecast for the market basket components, the FY 2012 update would be 3.0 percent (before taking into account any statutory adjustments). Table 7 compares the FY 2008-based RPL market basket and the FY 2002-based RPL market basket percent changes.

    Table 7--FY 2002-Based and FY 2008-Based RPL Market Basket Percent

    Changes, FY 2006 Through FY 2014

    FY 2002-based RPL FY 2008-based RPL market basket

    market basket

    Fiscal year (FY)

    index percent

    index percent change

    change

    Historical data:

    FY 2006.....................

    3.9

    3.7

    FY 2007.....................

    3.4

    3.4

    FY 2008.....................

    3.8

    3.7

    FY 2009.....................

    2.5

    2.7

    FY 2010.....................

    2.3

    2.2

    Average 2006-2010...........

    3.2

    3.1

    Forecast:

    FY 2011.....................

    2.7

    2.7

    FY 2012.....................

    3.0

    2.9

    FY 2013.....................

    3.0

    2.9

    FY 2014.....................

    3.0

    3.0

    Average 2011-2014...........

    2.9

    2.9

    Note that these market basket percent changes do not include any further adjustments as may be statutorily required.

    Source: IHS Global Insight, Inc. 2nd quarter 2011 forecast.

    For FY 2012, the FY 2008-based RPL market basket update (2.9 percent) is slightly lower than the FY 2002-based RPL market basket update (3.0 percent). The lower total compensation weight in the FY 2008-based RPL market basket (62.278 percent) relative to the FY 2002- based RPL market basket (65.877 percent), absent other factors, would have resulted in a slightly lower market basket update using the FY 2008-based RPL market basket. This impact, however, is partially offset by the larger weight associated with the Professional Fees category. In both market baskets, these expenditures are proxied by the ECI for

    Compensation for Professional and Related Services. The weight for

    Professional Fees in the FY 2002-based RPL market basket is 2.892 percent compared to 6.325 percent in the proposed FY 2008-based RPL market basket. The net effect is that the market basket update is slightly lower for FY 2012 based on the FY 2008-based RPL market basket relative to the FY 2002-based RPL market basket.

    Comment: Several commenters expressed support that CMS update the

    RPL market basket with more recent cost data. They note that using more up-to-date cost report data (2008) makes the RPL market basket more representative of the costs faced by IRF providers relative to more outdated cost report data (2002).

    Response: We agree that the use of more recent cost report data allows for the index to better reflect the actual costs faced by IRF providers. Based on the positive comments received regarding the rebasing of the RPL market basket, we are finalizing our proposal to rebase and revise the index. Based on IGI's second quarter 2011 forecast with history through the first quarter of 2011, the projected market basket update for FY 2012 is 2.9 percent. Therefore, consistent with our historical practice of estimating market basket increases based on the best available data, we are finalizing a market basket update of 2.9 percent for FY 2012. 2. Productivity Adjustment

    According to section 1886(j)(3)(C)(i) of the Act, the Secretary shall establish an increase factor ``based on an appropriate percentage increase in a market basket of goods and services.'' As described in section VI.A.1 of this final rule, we estimate the IRF PPS increase factor for FY 2012 based on the FY 2008-based RPL market basket.

    Section 1886(j)(3)(C)(ii) of the Act then requires that, after establishing the increase

    Page 47859

    factor for a FY, ``the Secretary shall reduce such increase factor for

    FY 2012 and each subsequent FY, by the productivity adjustment described in section 1886(b)(3)(B)(xi)(II)'' of the Act. Section 1886(b)(3)(B)(xi)(II) of the Act sets forth the definition of this productivity adjustment. The statute defines the productivity adjustment to be equal to the 10-year moving average of changes in annual economy-wide private nonfarm business multifactor productivity

    (MFP) (as projected by the Secretary for the 10-year period ending with the applicable FY cost reporting period, or other annual period) (the

    ``MFP adjustment''). The Bureau of Labor Statistics (BLS) is the agency that publishes the official measure of private nonfarm business MFP. We refer readers to the BLS Web site at http://www.bls.gov/mfp to obtain the historical BLS-published MFP data.

    The projection of MFP is currently produced by IGI, an economic forecasting firm. In order to generate a forecast of MFP, IGI replicated the MFP measure calculated by the BLS using a series of proxy variables derived from IGI's U.S. macroeconomic models. These models take into account a very broad range of factors that influence the total U.S. economy. IGI forecasts the underlying proxy components such as Gross Domestic Product (GDP), capital, and labor inputs required to estimate MFP and then combines those projections according to the BLS methodology. In Table 8, we identify each of the major MFP component series employed by the BLS to measure MFP. We also provide the corresponding concepts forecasted by IGI and determined to be the best available proxies for the BLS series.

    Table 8--Multifactor Productivity Component Series Employed by the

    Bureau of Labor Statistics and IHS Global Insight

    BLS series

    IGI series

    Real value-added output, constant 2005 Non-housing, non-government, dollars.

    non-farm real GDP, Billions of chained 2005 dollars - annual rate.

    Private non-farm business sector labor Hours of all persons in private input; 2005 = 100.00.

    non-farm establishments, 2005

    = 100.00, adjusted for labor composition effects.

    Aggregate capital inputs; 2005 = 100.00 Real effective capital stock used for full employment GDP,

    Billions of chained 2005 dollars.

    IGI found that the historical growth rates of the BLS components used to calculate MFP and the IGI components identified are consistent across all series and therefore suitable proxies for calculating MFP.

    We have included below a more detailed description of the methodology used by IGI to construct a forecast of MFP, which is aligned closely with the methodology employed by the BLS. For more information regarding the BLS method for estimating productivity, see the BLS Web site at http://www.bls.gov/mfp/mprtech.pdf.

    At the time of the development of the FY 2012 final rule, the BLS had published a historical time series of private nonfarm business MFP for 1987 through 2010, with 2010 being a preliminary value. Using this historical MFP series and the IGI forecasted series, IGI has developed a forecast of MFP for 2011 through 2021, as described below.

    To create a forecast of BLS' MFP index, the forecasted annual growth rates of the ``non-housing, non-government, non-farm, real

    GDP'', ``hours of all persons in private non-farm establishments adjusted for labor composition,'' and ``real effective capital stock'' series (ranging from 2011 to 2021) are used to ``grow'' the levels of the ``real value-added output,'' ``private non-farm business sector labor input,'' and ``aggregate capital inputs'' series published by the

    BLS. Projections of the ``hours of all persons'' measure are calculated using the difference between projections of the BLS index of output per hour and real GDP. This difference is then adjusted to account for changes in labor composition in the forecast interval.

    Using these 3 key concepts, MFP is derived by subtracting the contribution of labor and capital inputs from output growth. However, in order to estimate MFP, we need to understand the relative contributions of labor and capital to total output growth. Therefore, 2 additional measures are needed to operationalize the estimation of the

    IGI MFP projection: Labor compensation and capital income. The sum of labor compensation and capital income represents total income. The BLS calculates labor compensation and capital income (in current dollar terms) to derive the nominal values of labor and capital inputs. IGI uses the ``non-government total compensation'' and ``flow of capital services from the total private non-residential capital stock'' series as proxies for the BLS' income measures. These two proxy measures for income are divided by total income to obtain the shares of labor compensation and capital income to total income. To estimate labor's contribution and capital's contribution to the growth in total output, the growth rates of the proxy variables for labor and capital inputs are multiplied by their respective shares of total income. These contributions, of labor and capital to output growth, are subtracted from total output growth to calculate the ``change in the growth rates of multifactor productivity'':

    MFP = Total output growth - ((labor input growth * labor compensation share) + (capital input growth * capital income share))

    The change in the growth rates (also referred to as the compound growth rates) of the IGI MFP are multiplied by 100 in order to calculate the percent change in growth rates (the percent change in growth rates are published by the BLS for its historical MFP measure).

    Finally, the growth rates of the IGI MFP are converted to index levels based to 2005 to be consistent with the BLS' methodology. For benchmarking purposes, the historical growth rates of IGI's proxy variables were used to estimate a historical measure of MFP, which was compared to the historical MFP estimate published by the BLS. The comparison revealed that the growth rates of the components were consistent across all series, and therefore validated the use of the proxy variables in generating the IGI MFP projections. The resulting

    MFP index was then interpolated to a quarterly frequency using the

    Bassie method for temporal disaggregation. The Bassie technique utilizes an indicator (pattern) series for its calculations. IGI uses the index of output per hour (published by the BLS) as an indicator when interpolating the MFP index. 3. Calculation of the IRF PPS Market Basket Increase Factor for FY 2012

    To calculate the MFP-adjusted IRF PPS increase factor for FY 2012, in accordance with section 1886(j)(3)(C) of

    Page 47860

    the Act, we start with the FY 2008-based RPL market basket increase factor described above in section VI.A.1. of this final rule and subtract from that the MFP percentage adjustment described in section

    VI.A.2. of this final rule. Additionally, in accordance with sections 1886(j)(3)(C)(ii)(II) and (D)(ii) of the Act, we further proposed to reduce the MFP-adjusted IRF PPS increase factor by 0.1 percentage point for FY 2012.

    Specifically, in calculating the MFP percentage adjustment, the end of the 10-year moving average of changes in the MFP should coincide with the end of the appropriate FY update period. Since the market basket update is reduced by the MFP adjustment to determine the annual update for the IRF PPS, we believe it is appropriate for the numbers associated with both components of the calculation (the market basket and the productivity adjustment) to line up so that changes in market conditions are aligned. Therefore, for the FY 2012 update, the MFP adjustment is calculated as the 10-year moving average of changes in

    MFP for the period ending September 30, 2012. We round the final annual adjustment to the one-tenth of 1 percentage point level up or down as applicable according to conventional rounding rules (that is, if the number we are rounding is followed by 5, 6, 7, 8, or 9, we will round the number up; if the number we are rounding is followed by 0, 1, 2, 3, or 4, we will round the number down).

    Thus, in accordance with section 1886(j)(3)(C) of the Act, the proposed IRF PPS increase factor for FY 2012 was based on the 1st quarter 2011 forecast of the proposed FY 2008-based RPL market basket update, which was estimated to be 2.8 percent. This increase factor was then reduced by the proposed MFP adjustment (the 10-year moving average of MFP for the period ending FY 2012) of 1.2 percentage points, based on the methodology described above and IHS Global Insight's 1st quarter 2011 forecast. The increase factor for FY 2012 was then further reduced by 0.1 percentage point in accordance with sections 1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(ii) of the Act. The resulting proposed IRF PPS increase factor reduced by the productivity adjustment and the ``other adjustment'' for FY 2012 was equal to 1.5 percent, or 2.8 percent less 1.2 percentage points (for the MFP) less 0.1 percentage point in accordance with sections 1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(ii) of the Act. Consistent with historical practice, we update the market basket increase factor estimate and the MFP adjustment in this final rule to reflect the most recent available data.

    Comment: Several commenters recognized that the productivity adjustment is mandated by law (section 3401(d) of the Affordable Care

    Act). However, they expressed concern about the negative impact that it could have on IRF providers and the beneficiaries they serve. They recommend that CMS takes steps to mitigate any negative effects caused by the MFP reduction.

    Response: Section 3401(d) of the Affordable Care Act mandates that the market basket used to update IRF payments be reduced by a productivity adjustment beginning in FY 2012. As a result, we have no discretionary authority in this area, and we are applying this reduction in this final rule.

    Comment: Several commenters stated that the provision of inpatient rehabilitation services is largely dependent on skilled rehabilitation physicians, therapists, nurses, and other highly trained personnel and that efficiencies which might result from use of advanced technology are more limited in this setting than may be observed in the general economy. One commenter noted that many of the treatment plans in the

    IRF setting do not lend themselves to continual productivity improvements. The commenter stated that it will be challenging for efficient providers, over time, to achieve continued efficiencies at a rate that will be required by ongoing application of productivity adjustments.

    Response: We recognize that a complex and sophisticated mix of inputs are required to provide care to IRF patients. However, the agency is required by law to apply the MFP adjustment to provider payments as stipulated by section 3401(d) of the Affordable Care Act.

    Comment: Several commenters suggested that CMS carefully monitor the impact that these MFP adjustments will have on the IRF hospital sector and provide feedback to Congress as appropriate.

    Response: We will continue to monitor the effect of the MFP adjustments and share the results with policymakers. That practice will continue as we implement other provisions mandated by the Affordable

    Care Act.

    Final Decision: After careful consideration of the public comments, we are finalizing our proposed method for calculating and applying the

    MFP adjustment. In accordance with section 1886(j)(3)(C) of the Act, as amended by section 3401(d) of the Affordable Care Act, we will base the

    FY 2012 market basket update, which is used to determine the applicable percentage increase for the IRF payments, on the second quarter 2011 forecast of the FY 2008-based RPL market basket (estimated to be 2.9 percent). This percentage increase will then be reduced by the MFP adjustment (the 10-year moving average of MFP for the period ending FY 2012) of 1.0 percent, which was calculated as described above and based on IGI's second quarter 2011 forecast. Following application of the productivity adjustment, the applicable percentage increase will then be further reduced by 0.1 percentage point, as required by section 1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(ii) of the Act, as amended by sections 3401(d) of the Affordable Care Act. Therefore the final FY 2012 IRF update is 1.8 percent (2.9 percent market basket update less 1.0 percentage point MFP adjustment less 0.1 percentage point legislative adjustment). 4. Calculation of the Labor-Related Share for FY 2012

    Section 1886(j)(6) of the Act specifies that ``[t]he Secretary shall adjust the proportion (as estimated by the Secretary from time to time) of rehabilitation facilities' costs which are attributable to wages and wage-related costs, of the prospective payment rates computed under paragraph (3) for area differences in wage levels by a factor

    (established by the Secretary) reflecting the relative hospital wage level in the geographic area of the rehabilitation facility compared to the national average wage level for the facilities. Not later than

    October 1, 2001 (and at least every 36 months thereafter), the

    Secretary shall update the factor under the preceding sentence on the basis of information available to the Secretary (and updated as appropriate) of the wages and wage-related costs incurred in furnishing rehabilitation services. Any adjustments or updates made under this paragraph for a fiscal year shall be made in a manner that assures that the aggregated payments under this subsection in the fiscal year are not greater or less than those that would have been made in the year without such adjustment.''

    The labor-related share is determined by identifying the national average proportion of total costs that are related to, influenced by, or vary with the local labor market. We continue to classify a cost category as labor-related if the costs are labor-intensive and vary with the local labor market. Given this, based on our definition of the labor-related share, we proposed to include in the labor-related share the sum of the relative

    Page 47861

    importance of Wages and Salaries, Employee Benefits, Professional Fees:

    Labor-related, Administrative and Business Support Services, All Other:

    Labor-related Services (previously referred to in the FY 2002-based RPL market basket as labor-intensive), and a portion of the Capital-Related cost weight.

    Consistent with previous rebasings, the ``All Other'' Labor-related

    Services cost category is mostly comprised of building maintenance and security services (including, but not limited to, commercial and industrial machinery and equipment repair, nonresidential maintenance and repair, and investigation and security services). Because these services tend to be labor-intensive and are mostly performed at the hospital facility (therefore, unlikely to be purchased in the national market), we believe that they meet our definition of labor-related services.

    As stated in the FY 2006 IRF PPS final rule (70 FR 47880, 47915), the labor-related share was defined as the sum of the relative importance of Wages and Salaries, Fringe Benefits, Professional Fees,

    Labor-intensive Services, and a portion of the capital share from an appropriate market basket. Therefore, to determine the labor-related share for the IRF PPS for FY 2011, we used the FY 2002-based RPL market basket cost weights relative importance to determine the labor-related share for the IRF PPS.

    For the FY 2008-based RPL market basket rebasing, the inclusion of the Administrative and Business Support Services cost category into the labor-related share remains consistent with the current labor-related share because this cost category was previously included in the Labor- intensive cost category. As previously stated, we establish a separate

    Administrative and Business Support Service cost category so that we can use the ECI for Compensation for Office and Administrative Support

    Services to more precisely proxy these specific expenses.

    For the FY 2002-based RPL market basket, we assumed that all nonmedical professional services (including accounting and auditing services, engineering services, legal services, and management and consulting services) were purchased in the local labor market and, therefore, all of their associated fees varied with the local labor market. As a result, we previously included 100 percent of these costs in the labor-related share. In an effort to more accurately determine the share of professional fees that should be included in the labor- related share, we surveyed hospitals regarding the proportion of those fees that go to companies that are located beyond their own local labor market (the results are discussed below).

    We continue to look for ways to refine our market basket approach to more accurately account for the proportion of costs influenced by the local labor market. To that end, we conducted a survey of hospitals to empirically determine the proportion of contracted professional services purchased by the industry that are attributable to local firms and the proportion that are purchased from national firms. We notified the public of our intent to conduct this survey on December 9, 2005 (70

    FR 73250) and received no comments.

    With approval from the OMB (Control Number 0938-1036), we contacted a sample of IPPS hospitals and received responses to our survey from 108 hospitals. We believe that these data serve as an appropriate proxy for the purchasing patterns of professional services for IRFs as they are also institutional providers of health care services. Using data on

    FTEs to allocate responding hospitals across strata (region of the country and urban/rural status), we calculated post-stratification weights. Based on these weighted results, we determined that hospitals purchase, on average, the following portions of contracted professional services outside of their local labor market: 34 percent of accounting and auditing services. 30 percent of engineering services. 33 percent of legal services. 42 percent of management consulting services.

    We applied each of these percentages to its respective Benchmark I-

    O cost category underlying the professional fees cost category to determine the Professional Fees: Nonlabor-related costs. The

    Professional Fees: Labor-related costs were determined to be the difference between the total costs for each Benchmark I-O category and the Professional Fees: Nonlabor-related costs. This is the methodology that we used to separate the FY 2008-based RPL market basket professional fees category into Professional Fees: Labor-related and

    Professional Fees: Nonlabor-related cost categories. In addition to the professional services listed above, we also classified expenses under

    NAICS 55, Management of Companies and Enterprises, into the

    Professional Fees cost category as was done in previous rebasings. The

    NAICS 55 data are mostly comprised of corporate, subsidiary, and regional managing offices, or otherwise referred to as home offices.

    Formerly, all of the expenses within this category were considered to vary with, or be influenced by, the local labor market and were thus included in the labor-related share. Because many hospitals are not located in the same geographic area as their home office, we analyzed data from a variety of sources in order to determine what proportion of these costs should be appropriately included in the labor-related share.

    Using data primarily from the Medicare cost reports and a CMS database of Home Office Medicare Records (HOMER) (a database that provides city and State information (addresses) for home offices), we were able to determine that 19 percent of the total number of freestanding IRFs, IPFs, and LTCHs that had home offices had those home offices located in their respective local labor markets--defined as being in the same Metropolitan Statistical Area (MSA).

    The Medicare cost report requires hospitals to report their home office provider numbers. Using the HOMER database to determine the home office location for each home office provider number, we compared the location of the provider with the location of the hospital's home office. We then placed providers into one of the following three groups:

    Group 1--Provider and home office are located in different

    States.

    Group 2--Provider and home office are located in the same

    State and same city.

    Group 3--Provider and home office are located in the same

    State and different city.

    We found that 63 percent of the providers with home offices were classified into Group 1 (that is, different State) and, thus, these providers were determined to not be located in the same local labor market as their home office. Although there were a very limited number of exceptions (that is, providers located in different States but the same MSA as their home office), the 63 percent estimate was unchanged.

    We found that 9 percent of all providers with home offices were classified into Group 2 (that is, same State and same city and, therefore, the same MSA). Consequently, these providers were determined to be located in the same local labor market as their home offices.

    We found that 27 percent of all providers with home offices were classified into Group 3 (that is, same State and different city). Using data from the Census Bureau to determine the specific MSA for both the provider and its home office, we found that 10

    Page 47862

    percent of all providers with home offices were identified as being in the same State, a different city, but the same MSA.

    Pooling these results, we were able to determine that approximately 19 percent of providers with home offices had home offices located within their local labor market (that is, 9 percent of providers with home offices had their home offices in the same State and city (and, thus, the same MSA), and 10 percent of providers with home offices had their home offices in the same State, a different city, but the same

    MSA). We proposed to apportion the NAICS 55 expense data by this percentage. Thus, we proposed to classify 19 percent of these costs into the Professional Fees: Labor-related cost category and the remaining 81 percent into the Professional Fees: Nonlabor-related

    Services cost category.

    Using this method and the IGI forecast for the first quarter 2011 of the FY 2008-based RPL market basket, the proposed IRF labor-related share for FY 2012 was the sum of the FY 2012 relative importance of each labor-related cost category. Consistent with our policy for updating the labor-related share with the most recent available data, the labor-related share for this final rule reflects IGI's second quarter 2011 forecast of the FY 2008-based RPL market basket. Table 9 shows the FY 2012 relative importance labor-related share using the FY 2008-based RPL market basket and the FY 2002-based RPL market basket.

    Table 9--Comparison of the FY 2011 Relative Importance Labor-Related

    Share Based on the FY 2002-Based RPL Market Basket and the FY 2012

    Relative Importance Labor-Related Share Based on the FY 2008-Based RPL

    Market Basket

    FY 2011 relative

    FY 2012 relative importance labor-

    importance labor- related share \1\

    related share \2\

    Wages and Salaries..........

    52.449

    48.984

    Employee Benefits...........

    13.971

    12.998

    Professional Fees: Labor-

    2.855

    2.072

    Related....................

    Administrative and Business ....................

    0.416

    Support Services...........

    All Other: Labor-Related

    2.109

    2.094

    Services...................

    Subtotal....................

    71.384

    66.564

    Labor-Related Portion of

    3.887

    3.635

    Capital Costs (46%)........

    Total Labor-Related

    75.271

    70.199

    Share..................

    \1\ Published in the FY 2011 IRF PPS Notice (75 FR 42849) and based on the second quarter 2010 IGI forecast.

    \2\ Based on the second quarter 2011 IGI forecast.

    The labor-related share for FY 2012 is the sum of the FY 2012 relative importance of each labor-related cost category, and would reflect the different rates of price change for these cost categories between the base year (FY 2008) and FY 2012. The sum of the relative importance for FY 2012 for operating costs (Wages and Salaries,

    Employee Benefits, Professional Fees: Labor-Related, Administrative and

    Business Support Services, and All Other: Labor-related Services) would be 66.564 percent, as shown in Table 9.

    The portion of Capital that is influenced by the local labor market is estimated to be 46 percent, which is the same percentage applied to the FY 2002-based RPL market basket. Since the relative importance for

    Capital-Related Costs would be 7.903 percent of the proposed FY 2008- based RPL market basket in FY 2012, we take 46 percent of 7.903 percent to determine the proposed labor-related share of Capital for FY 2012.

    The result would be 3.635 percent, which we add to 66.564 percent for the operating cost amount to determine the total labor-related share for FY 2012. Thus, the labor-related share that we use for the IRF PPS in FY 2012 will be 70.199 percent. This labor-related share is determined using the same methodology that we used to calculate all previous IRF labor-related shares.

    Comment: One commenter stated that the CMS proposal to no longer include 100 percent of certain types of costs in the labor-related share calculation does not coincide with the application of the area wage index. This commenter noted that costs captured in the ``Other

    Services'' cost category in the RPL, whether employees, local contractors, national contractors, or home office allocations, represent personal services, which are in essence labor-related. The commenter also noted that the labor-related portion of the base rate is adjusted by the area wage index. The IPPS wage index includes in its calculation of the local (CBSA) wage index not a portion based on location relative to the provider, but 100 percent of the allocated home office wages, benefits, and hours. The commenter noted that the hospital wage index also includes contracted administrative and general services, which would include those categories in CMS' survey such as accounting, legal, etc. The commenter suggested that if these costs are included in the IPPS wage index, then they should also be included in full in the labor-related portion of the base rate that will be multiplied by the adjustment factor for the IRF calculation.

    Response: We appreciate the commenter's suggestion. However, we disagree that we should allocate 100 percent of service costs as labor- related. The wage index that is applied to the labor-related portion of any payment system measures the variation in labor costs based on geographic differences. Therefore, it is appropriate that the wage index would include all relative cost differences for various labor categories. The labor-related share is defined as the proportion of total costs that are related to, influenced by, or vary with the local labor market. A cost category is defined as labor-related if both the costs of the service are labor-intensive and those costs vary with the local labor market. That is, the labor-related share must only include the proportion of costs that are determined to vary with the local labor market. The apportionment of some of the costs associated with various nonmedical professional fees and home office expenses into nonlabor-related categories reflects the findings of our analyses that concluded portions of those costs are purchased (or paid for) beyond the organization's local labor market and thus, are not related to or influenced by the local labor market.

    Comment: One commenter expressed concerns regarding the drop in the labor-related share from around 75

    Page 47863

    percent to 70 percent. The commenter asked CMS to articulate the driving factors contributing to the drop in the estimated labor-related share and consider the appropriateness of those factors.

    Response: Of the decrease in the labor-related share from about 75 percent to 70 percent, over 3-quarters of that decrease is the result of the decrease in the compensation cost weight. As displayed in Table 4, the 2008-based RPL market basket compensation cost weight is 62.278 percent while the 2002-based RPL market basket compensation cost weight is 65.877 percent, a decrease of about 3.6 percentage points. The compensation cost weights for both the 2002-based and the 2008-based

    RPL market baskets were calculated using the Medicare cost reports for freestanding IRFs, IPFs, and LTCHS. We found during our most-recent rebasing process that the compensation cost weight had begun gradually decreasing over the 2003 to 2008 time period. The new labor-related share reflects the most recently available and complete set of Medicare cost reports, and thus reflects the updated and appropriate proportion of costs that are related to, influenced by, or vary with the local labor market for IRFs, IPFs, and LTCHs.

    The remaining difference between the 2002-based and the 2008-based labor-related shares is primarily attributable to the classification of costs as labor-related and nonlabor-related using an empirically based apportionment of professional fees and home office costs. We believe the data and methods used to derive this apportionment were technically appropriate and result in a more accurate updated labor-related share.

    Comment: One commenter pointed out that Table 9 in the FY 2012 IRF

    Proposed Rule showed a reduction in the labor-related share of 4.937 percent. The commenter attributed this change to the change in the methodology for how CMS classified professional fees and home office costs. The commenter noted that CMS only counted 19 percent of costs for professional fees and home office costs as labor-related and subject to the area wage index adjustment. The commenter noted their support for the use of new data to ensure the IRF PPS accurately reimburses IRFs for the services they provide, but expressed concern that the survey upon which CMS based its decision to make a change to the labor-related share was conducted with acute care hospitals paid under the IPPS. The commenter expressed concern that the results of the professional fees survey may not accurately reflect the percentage of nonmedical professional services provided by entities outside the local labor market utilized by IRFs. The commenter requested in the future that CMS conduct a study of nonmedical professional services using only

    IRFs, IPFs, and LTCHs.

    Response: The overall proposed labor-related share as shown in

    Table 9 of the FY 2012 IRF proposed rule (76 FR 24243) showed a decline of 4.937 percent. The commenter attributed the entire change in the labor-related share from the 2002-based RPL market basket to the 2008- based market basket to our change in the professional fees and home office cost labor-related designations. We disagree that this is the principal driver for the decline in the labor-related share. The majority of the decline is based on a decline in relative compensation costs from 2002 to 2008 as reported on the Medicare cost reports. In particular, this accounts for over 3-quarters of the difference in the labor-related share. The remaining decrease in the labor-related share is primarily the result of the treatment of professional fees as labor- related or nonlabor-related. Finally, we did not use 19 percent as the value to determine the professional fees that were purchased within the local labor market. That is the percentage of home office costs that was determined to be purchased within the local labor market. For estimates associated with the apportionment of professional fees, we refer the reader to the discussion of the use of the survey results and how they were applied to determine the labor-related portions. This discussion can be found in the FY 2012 IRF PPS proposed rule at (76 FR at 24241 through 24242). We note that while this survey was conducted using responses from IPPS hospitals, we would expect that these data serve as an appropriate proxy for the purchasing patterns of professional services for IRFs as they are also institutional providers of health care services.

    Comment: Several commenters recommended that CMS phase-in the change to the labor-related share over a 2 year period to allow IRFs a longer period of time to absorb the impact of this reduction to the labor-related share.

    Response: We do not believe that a phase-in of the labor-related share is necessary. We estimate that only 3 IRFs would lose more than 5 percent in payments from this change, with the maximum estimated loss being 7.85 percent. While significant, this is similar to percentage changes in payments due to annual wage index fluctuations, and we do not typically provide phase-ins for the standard wage index fluctuations that occur from year to year.

    Final Decision: After consideration of the public comments received, we are finalizing our methodology for calculating the labor- related share for FY 2012 using the 2008-based RPL market basket and the most recent forecast data available at the time of this final rule which is IHS Global Insight Inc.'s second quarter 2011 forecast. This is also the same forecast we are using to derive the FY 2012 market basket update for this final rule. As the updated labor-related share reflects the current proportion of costs that are related to, are influenced by, or vary with the local labor market, we believe it is appropriate to incorporate the results in full into the FY 2012 payment update. Table 9 shows the relative importance of the FY 2012 labor- related share using the FY 2008-based RPL market basket and the FY 2011 relative importance labor-related share using the FY 2002-based RPL market basket.

  45. Area Wage Adjustment

    Section 1886(j)(6) of the Act requires the Secretary to adjust the proportion of rehabilitation facilities' costs attributable to wages and wage related costs (as estimated by the Secretary from time to time) by a factor (established by the Secretary) reflecting the relative hospital wage level in the geographic area of the rehabilitation facility compared to the national average wage level for those facilities. The Secretary is required to update the IRF PPS wage index on the basis of information available to the Secretary on the wages and wage-related costs to furnish rehabilitation services. Any adjustment or updates made under section 1886(j)(6) of the Act for a FY are made in a budget neutral manner.

    In the FY 2009 IRF PPS final rule (73 FR 46378), we maintained the methodology described in the FY 2006 IRF PPS final rule to determine the wage index, labor market area definitions and hold harmless policy consistent with the rationale outlined in the FY 2006 IRF PPS final rule (70 FR 47880, 47917 through 47926).

    For FY 2012, we are maintaining the policies and methodologies described in the FY 2009 IRF PPS final rule (73 FR 46378) relating to the labor market area definitions and the wage index methodology for areas with wage data. Thus, we are using the CBSA labor market area definitions and the FY 2011 pre-reclassification and pre-floor hospital wage index data. In accordance with section 1886(d)(3)(E) of the Act, the FY 2011 pre-reclassification and

    Page 47864

    pre-floor hospital wage index is based on data submitted for hospital cost reporting periods beginning on or after October 1, 2006, and ending September 30, 2007 (that is, FY 2007 cost report data).

    The labor market designations made by the OMB include some geographic areas where there are no hospitals and, thus, no hospital wage index data on which to base the calculation of the IRF PPS wage index. We will continue to use the same methodology discussed in the FY 2008 IRF PPS final rule (72 FR 44299) to address those geographic areas where there are no hospitals and, thus, no hospital wage index data on which to base the calculation for the FY 2012 IRF PPS wage index.

    Additionally, we will incorporate the CBSA changes published in the most recent OMB bulletin that applies to the hospital wage data used to determine the current IRF PPS wage index. The changes were nominal and did not represent substantive changes to the CBSA-based designations.

    Specifically, OMB added or deleted certain CBSA numbers and revised certain titles. The OMB bulletins are available at http://www.whitehouse.gov/omb/bulletins/index.html.

    To calculate the wage-adjusted facility payment for the payment rates set forth in this final rule, we multiply the unadjusted Federal payment rate for IRFs by the FY 2012 labor-related share based on the

    FY 2008-based RPL market basket (70.199 percent) to determine the labor-related portion of the standard payment amount. We then multiply the labor-related portion by the applicable IRF wage index from the tables in the addendum to this final rule. Table A is for urban areas and Table B is for rural areas.

    Adjustments or updates to the IRF wage index made under section 1886(j)(6) of the Act must be made in a budget neutral manner. We calculate a budget neutral wage adjustment factor as established in the

    FY 2004 IRF PPS final rule (68 FR 45689), codified at Sec. 412.624(e)(1), as described in the steps below. We use the listed steps to ensure that the FY 2012 IRF standard payment conversion factor reflects the update to the wage indexes (based on the FY 2007 hospital cost report data) and the labor-related share in a budget neutral manner:

    Step 1. Determine the total amount of the estimated FY 2011 IRF PPS rates, using the FY 2011 standard payment conversion factor and the labor-related share and the wage indexes from FY 2011 (as published in the FY 2011 IRF PPS final rule (75 FR 42836)).

    Step 2. Calculate the total amount of estimated IRF PPS payments using the FY 2011 standard payment conversion factor and the proposed

    FY 2012 labor-related share and CBSA urban and rural wage indexes.

    Step 3. Divide the amount calculated in step 1 by the amount calculated in step 2. The resulting quotient is the FY 2012 budget neutral wage adjustment factor of 0.9988 percent.

    Step 4. Apply the FY 2012 budget neutral wage adjustment factor from step 3 to the FY 2011 IRF PPS standard payment conversion factor after the application of the adjusted market basket update to determine the FY 2012 standard payment conversion factor.

    We received 2 comments on the proposed FY 2012 IRF PPS wage index, which are summarized below.

    Comment: Several commenters recommended that CMS develop a new methodology for area wage adjustment that eventually eliminates hospital wage index reclassifications for all hospitals and that reduces the problems associated with unreasonable annual fluctuations in wage indices and across geographic boundaries. These commenters also recommended that CMS consider wage index policies under the current

    IPPS because IRFs compete in a similar labor pool as acute care hospitals. The IPPS wage index policies would allow IRFs to benefit from the IPPS reclassification and/or floor policies. The commenters further recommended that until a new wage index system is implemented,

    CMS institute a ``smoothing'' variable to the current process to reduce the fluctuations IRFs annually experience.

    Response: We note that the IRF PPS does not account for geographic reclassification under sections 1886(d)(8) and (d)(10) of the Act, and does not apply the ``rural floor'' under section 4410 of the BBA. As we do not have an IRF-specific wage index, we are unable to determine at this time the degree, if any, to which a geographic reclassification adjustment or a ``rural floor'' policy under the IRF PPS is appropriate. The rationale for our current wage index policies is fully described in the FY 2006 final rule (70 FR 47880, 47926 through 47928).

    Although some commenters recommended that we adopt the IPPS wage index policies such as reclassification and floor policies, we note that Medicare Payment Advisory Commission (MedPAC's) June 2007 report to the Congress, titled ``Report to Congress: Promoting Greater

    Efficiency in Medicare,'' recommends that Congress ``repeal the existing hospital wage index statute, including reclassification and exceptions, and give the Secretary authority to establish new wage index systems.'' We believe that adopting the IPPS wage index policies, such as reclassification or floor, would not be prudent at this time because MedPAC suggests that the reclassification and exception policies in the IPPS wage index alters the wage index values for one- third of IPPS hospitals.

    As one commenter noted, we have research currently under way to examine alternatives to the wage index methodology, including the issues the commenters mentioned about ensuring that the wage index minimizes fluctuations, matches the costs of labor in the market, and provides for a single wage index policy. Section 3137(b) of the

    Affordable Care Act requires CMS to submit a report to Congress by

    December 31, 2011 that includes a plan to reform the hospital wage index system. That report is to take MedPAC's 2009 recommendations on the Medicare wage index classification system into account, and is to include a proposal to revise the IPPS wage index system. MedPAC's recommendations were presented in the FY 2009 IPPS final rule (http://edocket.access.gpo.gov/2008/pdf/E8-17914.pdf). The proposal is to consider each of the following:

    The use of Bureau of Labor Statistics data or other data or methodologies to calculate relative wages for each geographic areas.

    Minimizing variations in wage index adjustments between and within MSAs and statewide rural areas.

    Methods to minimize the volatility of wage index adjustments while maintaining the principle of budget neutrality.

    The effect that the implementation of the proposal would have on health care providers in each region of the country.

    Issues relating to occupational mix, such as staffing practices and any evidence on quality of care and patient safety, including any recommendations for alternative calculations to the occupational mix.

    The provision of a transition period.

    CMS enlisted the help of Acumen, LLC to assist us in meeting the requirements of section 106(b)(2) of the Tax Relief and Health Care Act of 2006 (Pub. L. 109-432, enacted on December 2006) (TRCA). In February 2008, we awarded a Task Order under the Expedited Research and

    Demonstration Contract to Acumen, LLC. Acumen, LLC conducted a study of both the current methodology used to construct the Medicare wage index and the recommendations reported to Congress

    Page 47865

    by MedPAC. Parts 1 and 2 of Acumen's final report, which analyzes the strengths and weaknesses of the data sources used to construct the CMS and MedPAC indexes, is available online at http://www.acumenllc.com/reports/cms.

    MedPAC's recommendations were presented in the FY 2009 IPPS final rule (http://edocket.access.gpo.gov/2008/pdf/E8-17914.pdf). We plan to monitor the efforts to develop an alternative wage index system for the

    IPPS closely, and determine the impact or influence they may have to the IRF PPS wage index.

    Final Decision: Having considered the public comments received, we have decided to continue to use the policies and methodologies described in the FY 2009 IRF PPS final rule relating to the labor market area definitions and the wage index methodology for areas without wage data. Therefore, this final rule continues to use the

    Core-Based Statistical Area (CBSA) labor market area definitions and the pre-reclassification and pre-floor hospital wage index data based on 2007 cost report data. However, we will continue to monitor progress on the revisions to the IPPS wage index to identify any policy changes that may be appropriate for IRFs.

    We discuss the calculation of the standard payment conversion factor for FY 2012 in section VI.C of this final rule.

  46. Description of the Final IRF Standard Payment Conversion Factor and

    Payment Rates for FY 2012

    To calculate the standard payment conversion factor for FY 2012, as illustrated in Table 10, we begin by applying the adjusted market basket increase factor for FY 2012 that was adjusted in accordance with sections 1886(j)(3)(C) and (D) of the Act (1.8 percent, or 2.9 percent less a cumulative total adjustment of 1.1 percentage points, as described in section VI.A.3. of this final rule), to the standard payment conversion factor for FY 2011 ($13,860). Applying the 1.8 percent adjusted market basket increase factor for FY 2012 to the standard payment conversion factor for FY 2011 of $13,860 yields a standard payment amount of $14,109. Then, we apply the budget neutrality factor for the FY 2012 wage index and labor-related share of 0.9988, which results in a standard payment amount of $14,093. Finally, we apply the budget neutrality factor for the revised CMG relative weights of 0.9988, which results in a final standard payment conversion factor of $14,076 for FY 2012.

    Table 10--Calculations To Determine the FY 2012 Standard Payment

    Conversion Factor

    Explanation for adjustment

    Calculations

    Standard Payment Conversion Factor for FY 2011......

    $13,860

    Payment Update Factor for FY 2012 (1.8 percent),

    x 1.018 which reflects a 2.9 percent market basket increase, reduced by a 1.0 percentage point productivity adjustment, and reduced by 0.1 percentage point in accordance with sections 1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(ii) of the

    Act................................................

    Budget Neutrality Factor for the Wage Index and

    x 0.9988

    Labor-Related Share................................

    Budget Neutrality Factor for the Revisions to the

    x 0.9988

    CMG Relative Weights...............................

    FY 2012 Standard Payment Conversion Factor..........

    = $14,076

    After the application of the CMG relative weights described in section IV of this final rule, to the FY 2012 standard payment conversion factor ($14,076), the resulting unadjusted IRF prospective payment rates for FY 2012 are shown in Table 11, ``FY 2012 Payment

    Rates.''

    Table 11--FY 2012 Payment Rates

    Payment rate tier Payment rate tier Payment rate tier

    Payment rate no

    CMG

    1

    2

    3

    comorbidity

    0101............................

    $10,804.74

    $10,109.38

    $9,080.43

    $8,589.18 0102............................

    13,410.21

    12,545.94

    11,270.65

    10,659.75 0103............................

    16,014.27

    14,982.49

    13,459.47

    12,728.93 0104............................

    16,636.42

    15,565.24

    13,983.10

    13,224.40 0105............................

    19,330.57

    18,086.25

    16,246.52

    15,365.36 0106............................

    22,261.19

    20,826.85

    18,708.41

    17,694.94 0107............................

    25,204.49

    23,581.52

    21,182.97

    20,034.37 0108............................

    31,217.75

    29,206.29

    26,236.26

    24,814.58 0109............................

    28,867.06

    27,009.03

    24,261.39

    22,946.70 0110............................

    37,208.50

    34,811.36

    31,271.24

    29,576.49 0201............................

    10,514.77

    8,631.40

    7,995.17

    7,260.40 0202............................

    14,938.86

    12,263.01

    11,359.33

    10,313.49 0203............................

    17,003.81

    13,959.17

    12,928.81

    11,740.79 0204............................

    17,813.18

    14,622.15

    13,543.93

    12,298.20 0205............................

    22,496.26

    18,467.71

    17,105.16

    15,532.87 0206............................

    28,004.20

    22,988.92

    21,294.17

    19,334.79 0207............................

    37,868.66

    31,086.85

    28,793.87

    26,144.76 0301............................

    14,886.78

    13,391.91

    11,881.55

    10,880.75 0302............................

    18,851.99

    16,958.76

    15,045.84

    13,779.00 0303............................

    22,414.62

    20,163.87

    17,889.19

    16,384.46 0304............................

    31,034.76

    27,918.34

    24,768.13

    22,684.88 0401............................

    14,903.67

    12,407.99

    11,287.54

    9,903.87 0402............................

    19,427.70

    16,174.73

    14,713.64

    12,909.10 0403............................

    34,710.01

    28,896.62

    26,286.93

    23,064.93 0404............................

    61,648.66

    51,322.50

    46,688.68

    40,963.98 0405............................

    54,454.41

    45,333.17

    41,239.86

    36,183.77 0501............................

    9,232.45

    8,863.66

    7,905.08

    7,005.63

    Page 47866

    0502............................

    13,815.59

    13,263.81

    11,829.47

    10,483.80 0503............................

    17,538.70

    16,837.71

    15,016.28

    13,308.86 0504............................

    21,146.37

    20,301.81

    18,105.96

    16,046.64 0505............................

    24,714.64

    23,726.51

    21,160.45

    18,754.86 0506............................

    34,636.81

    33,253.14

    29,656.72

    26,284.11 0601............................

    13,311.67

    11,249.54

    10,260.00

    9,274.68 0602............................

    17,617.52

    14,888.19

    13,580.52

    12,275.68 0603............................

    22,752.45

    19,227.82

    17,538.70

    15,853.80 0604............................

    30,167.68

    25,494.45

    23,254.96

    21,021.10 0701............................

    11,262.21

    11,087.67

    10,678.05

    9,532.27 0702............................

    14,737.57

    14,508.13

    13,973.25

    12,472.74 0703............................

    17,734.35

    17,457.06

    16,813.78

    15,007.83 0704............................

    22,919.95

    22,562.42

    21,731.94

    19,396.73 0801............................

    8,086.66

    8,086.66

    7,536.29

    6,880.35 0802............................

    10,873.71

    10,873.71

    10,133.31

    9,252.15 0803............................

    14,992.35

    14,992.35

    13,971.84

    12,755.67 0804............................

    13,241.29

    13,241.29

    12,340.43

    11,266.43 0805............................

    16,305.64

    16,305.64

    15,195.04

    13,873.31 0806............................

    19,909.09

    19,909.09

    18,553.58

    16,939.06 0901............................

    1,918.15

    10,500.70

    9,502.71

    8,608.88 0902............................

    15,939.66

    14,045.03

    12,709.22

    11,514.17 0903............................

    20,414.42

    17,987.72

    16,277.49

    14,747.43 0904............................

    26,450.21

    23,305.63

    21,090.07

    19,108.17 1001............................

    14,547.55

    12,790.86

    11,428.30

    10,213.55 1002............................

    19,102.54

    16,794.08

    15,005.02

    13,411.61 1003............................

    28,222.38

    24,813.17

    22,169.70

    19,814.79 1101............................

    14,581.33

    14,581.33

    13,831.08

    12,980.89 1102............................

    21,938.85

    21,938.85

    20,808.55

    19,530.45 1201............................

    11,404.38

    11,404.38

    11,407.19

    10,782.22 1202............................

    14,869.89

    14,869.89

    14,872.70

    14,057.70 1203............................

    18,342.44

    18,342.44

    18,345.25

    17,340.22 1301............................

    12,579.72

    13,673.43

    13,673.43

    11,094.70 1302............................

    16,566.04

    18,006.02

    18,006.02

    14,609.48 1303............................

    1,411.00

    23,271.85

    23,271.85

    18,882.95 1401............................

    13,246.92

    10,606.27

    9,378.84

    8,482.20 1402............................

    17,789.25

    14,242.10

    12,593.80

    11,390.30 1403............................

    21,484.20

    17,200.87

    15,210.53

    13,756.47 1404............................

    27,828.25

    22,279.49

    19,702.18

    17,818.81 1501............................

    13,527.04

    12,630.39

    10,886.38

    10,290.96 1502............................

    17,023.51

    15,896.03

    13,701.58

    12,951.33 1503............................

    20,992.95

    19,602.24

    16,895.42

    15,970.63 1504............................

    26,519.18

    24,762.50

    21,343.44

    20,175.13 1601............................

    15,732.75

    12,384.06

    10,868.08

    10,158.65 1602............................

    21,074.59

    16,588.57

    14,557.40

    13,607.27 1603............................

    27,234.24

    21,437.75

    18,812.57

    17,585.15 1701............................

    14,689.71

    13,075.20

    11,866.07

    10,372.60 1702............................

    19,384.06

    17,251.55

    15,656.73

    13,686.09 1703............................

    22,859.42

    20,345.45

    18,463.49

    16,140.95 1704............................

    29,266.82

    26,047.64

    23,639.23

    20,664.98 1801............................

    16,913.72

    13,876.12

    13,396.13

    12,253.16 1802............................

    23,246.51

    19,070.16

    18,411.41

    16,840.53 1803............................

    39,854.79

    32,695.73

    31,565.43

    28,872.69 1901............................

    16,184.58

    14,257.58

    12,934.44

    12,560.01 1902............................

    30,830.66

    27,161.05

    24,638.63

    23,927.79 1903............................

    51,689.89

    45,537.27

    41,310.24

    40,118.01 2001............................

    12,022.31

    10,623.16

    9,523.82

    8,556.80 2002............................

    16,090.28

    14,216.76

    12,747.23

    11,452.23 2003............................

    20,318.71

    17,953.94

    16,097.31

    14,461.68 2004............................

    27,245.51

    24,075.59

    21,585.55

    19,392.51 2101............................

    35,405.36

    30,644.86

    24,404.97

    19,781.00 5001............................ .................. .................. ..................

    2,076.21 5101............................ .................. .................. ..................

    8,242.91 5102............................ .................. .................. ..................

    20,717.06 5103............................ .................. .................. ..................

    9,810.97 5104............................ .................. .................. ..................

    26,431.91

    Page 47867

  47. Example of the Methodology for Adjusting the Federal Prospective

    Payment Rates

    Table 12 illustrates the methodology for adjusting the Federal prospective payments (as described in sections VI.A. through VI.C. of this final rule). The following examples are based on two hypothetical

    Medicare beneficiaries, both classified into CMG 0110 (without comorbidities). The unadjusted Federal prospective payment rate for CMG 0110 (without comorbidities) appears in Table 11.

    Example: One beneficiary is in Facility A, an IRF located in rural Spencer County, Indiana, and another beneficiary is in

    Facility B, an IRF located in urban Harrison County, Indiana.

    Facility A, a rural non-teaching hospital has a DSH percentage of 5 percent (which would result in a LIP adjustment of 1.0228), a wage index of 0.8391, and a rural adjustment of 18.4 percent. Facility B, an urban teaching hospital, has a DSH percentage of 15 percent

    (which would result in a LIP adjustment of 1.0666 percent), a wage index of 0.8896, and a teaching status adjustment of 0.0610.

    To calculate each IRF's labor and non-labor portion of the Federal prospective payment, we begin by taking the unadjusted Federal prospective payment rate for CMG 0110 (without comorbidities) from

    Table 11. Then, we multiply the labor-related share for FY 2012 (70.199 percent) described in section VI.A.4 of this final rule by the unadjusted Federal prospective payment rate. To determine the non-labor portion of the Federal prospective payment rate, we subtract the labor portion of the Federal payment from the unadjusted Federal prospective payment.

    To compute the wage-adjusted Federal prospective payment, we multiply the labor portion of the Federal payment by the appropriate wage index found in the addendum in Tables A and B. The resulting figure is the wage-adjusted labor amount. Next, we compute the wage- adjusted Federal payment by adding the wage-adjusted labor amount to the non-labor portion.

    Adjusting the wage-adjusted Federal payment by the facility-level adjustments involves several steps. First, we take the wage-adjusted

    Federal prospective payment and multiply it by the appropriate rural and LIP adjustments (if applicable). Second, to determine the appropriate amount of additional payment for the teaching status adjustment (if applicable), we multiply the teaching status adjustment

    (0.0610, in this example) by the wage-adjusted and rural-adjusted amount (if applicable). Finally, we add the additional teaching status payments (if applicable) to the wage, rural, and LIP-adjusted Federal prospective payment rates. Table 12 illustrates the components of the adjusted payment calculation.

    Table 12--Example of Computing the IRF FY 2012 Federal Prospective

    Payment

    Rural facility A

    Urban facility B

    Steps

    (Spencer Co., IN) (Harrison Co., IN)

    1............ Unadjusted

    $29,576.49

    $29,576.49

    Federal

    Prospective

    Payment. 2............ Labor Share......

    x 0.70199

    x 0.70199 3............ Labor Portion of

    = $20,762.40

    = $20,762.40

    Federal Payment. 4............ CBSA Based Wage

    x 0.8391

    x 0.8896

    Index (shown in the Addendum,

    Tables 1 and 2). 5............ Wage-Adjusted

    = $17,421.73

    = $18,470.23

    Amount. 6............ Nonlabor Amount..

    + $8,814.09

    + $8,814.09 7............ Wage-Adjusted

    = $26,235.82

    = $27,284.32

    Federal Payment. 8............ Rural Adjustment.

    x 1.184

    x 1.000 9............ Wage- and Rural-

    = $31,063.21

    = $27,284.32

    Adjusted Federal

    Payment. 10........... LIP Adjustment...

    x 1.0228

    x 1.0666 11........... FY 2012 Wage-,

    = $31,771.45

    = $29,101.46

    Rural-, and LIP-

    Adjusted Federal

    Prospective

    Payment Rate. 12........... FY 2012 Wage- and

    $31,063.21

    $27,284.32

    Rural-Adjusted

    Federal

    Prospective

    Payment. 13........... Teaching Status

    x 0.0000

    x 0.0610

    Adjustment. 14........... Teaching Status

    = $0.00

    = $1,664.34

    Adjustment

    Amount. 15........... FY2012 Wage-,

    + $31,771.45

    + $29,101.46

    Rural-, and LIP-

    Adjusted Federal

    Prospective

    Payment Rate. 16........... Total FY 2012

    = $31,771.45

    = $30,765.80

    Adjusted Federal

    Prospective

    Payment.

    Thus, the adjusted payment for Facility A would be $31,771.45 and the adjusted payment for Facility B would be $30,765.80.

    VII. Update to Payments for High-Cost Outliers Under the IRF PPS

  48. Update to the Outlier Threshold Amount for FY 2012

    Section 1886(j)(4) of the Act provides the Secretary with the authority to make payments in addition to the basic IRF prospective payments for cases incurring extraordinarily high costs. A case qualifies for an outlier payment if the estimated cost of the case exceeds the adjusted outlier threshold. We calculate the adjusted outlier threshold by adding the IRF PPS payment for the case (that is, the CMG payment adjusted by all of the relevant facility-level adjustments) and the adjusted threshold amount (also adjusted by all of the relevant facility-level adjustments). Then, we calculate the estimated cost of a case by multiplying the IRF's overall CCR by the

    Medicare allowable covered charge. If the estimated cost of the case is higher than the adjusted outlier threshold, we make an outlier payment for the case equal to 80 percent of the difference between the estimated cost of the case and the outlier threshold.

    In the FY 2002 IRF PPS final rule (66 FR 41362 through 41363), we discussed our rationale for setting the outlier threshold amount for the IRF PPS so that estimated outlier payments would equal 3 percent of total estimated payments. For the 2002 IRF PPS final rule, we analyzed various outlier policies using 3, 4, and 5 percent of the total estimated payments, and we concluded that an outlier policy set at 3 percent of total estimated payments would optimize the extent to which we could reduce the financial risk to IRFs of caring for high-cost patients, while still providing for adequate payments for all other

    (non-high cost outlier) cases.

    Subsequently, we updated the IRF outlier threshold amount in the

    FYs 2006 through 2010 IRF PPS final rules and the FY 2011 notice (70 FR 47880, 71 FR 48354, 72 FR 44284, 73 FR 46370, 74 FR 39762, and 75 FR 42836, respectively) to maintain estimated outlier payments at 3 percent of total estimated payments. We also stated in the FY 2009 final rule (73 FR 46370 at 46385) that we would continue to analyze the estimated outlier payments

    Page 47868

    for subsequent years and adjust the outlier threshold amount as appropriate to maintain the 3 percent target.

    To update the IRF outlier threshold amount for FY 2012, we use FY 2010 claims data and the same methodology that we used to set the initial outlier threshold amount in the FY 2002 IRF PPS final rule (66

    FR 41316 and 41362 through 41363), which is also the same methodology that we used to update the outlier threshold amounts for FYs 2006 through 2011. Based on an analysis of the most recent FY 2010 IRF claims data, the IRF outlier payments as a percentage of total estimated payments were approximately 2.6 percent in FY 2011.

    We received 3 comments on the update to the outlier threshold amount for FY 2012, which are summarized below:

    Comment: One commenter expressed support for continuing to establish outlier payments at 3 percent of total payments. However, several commenters requested more information on why the proposed outlier threshold increased from $11,410 in FY 2011 to $11,822 in the

    FY 2012 proposed rule when only 2.7 percent of the 3 percent outlier payments were projected to be paid out in FY 2011.

    Response: We proposed to move to an un-weighted regression methodology in the FY 2012 proposed rule, which caused a reduction to the LIP and Teaching adjustment factors. Our facility-level adjustment factors are budget neutral, meaning that any reduction in the adjustment factors results in an increase to the standard payment conversion factor. Therefore, the standard payment conversion factor was estimated to increase from $13,860 in FY 2011 to $14,528 in the FY 2012 proposed rule (this has changed to $14,076 in this final rule, as discussed below). The large increase in the proposed standard payment conversion factor resulted in an increase to the outlier threshold, rather than the decrease anticipated by the commenters.

    However, as we are not adopting the proposed revisions to the facility-level adjustments in this final rule, the increase in the standard payment conversion factor from FY 2011 to FY 2012 is smaller.

    The final standard payment conversion factor for FY 2012 is $14,076.

    Consequently, the FY 2012 outlier threshold that we are finalizing in this final rule is lower than the FY 2011 outlier threshold amount.

    Comment: One commenter stated that the calculation of the CCRs in other settings has been identified as a potential reason for those settings' difficulties in establishing an appropriate outlier threshold, which may also be the case for the IRF PPS. The commenter suggested that CMS assess whether this is a problem for the IRF PPS and release more information on the role that the CCRs play in establishing the outlier threshold.

    Response: We appreciate the commenter's concerns. However, we do not believe that the calculation of the CCRs creates a problem in setting the outlier threshold for the IRF PPS. In order to set the outlier threshold, we first estimate the cost of a case in the current fiscal year by multiplying an overall facility-specific cost-to-charge ratio by charges and by the market basket for the current fiscal year

    (without any adjustments). The outlier threshold for the upcoming fiscal year is then calculated by simulating aggregate payments with and without a change in the outlier threshold, and applying an iterative process that accounts for changes in the market basket, wage index and labor-share, CMG relative weights, and facility-level adjustment factors, to determine a threshold for the upcoming fiscal year that would result in outlier payments being equal to 3 percent of total payments under the simulation.

    We note, too, that we implemented a new outlier reconciliation process for IRFs (and other settings) beginning April 1, 2011 that we believe will improve the accuracy and reliability of the IRF CCRs. For more information on the new outlier reconciliation process, please view the ``Outlier Reconciliation'' link on the IRF PPS Web site at (http://www.cms.gov/InpatientRehabFacPPS/03_OutlierR.asp#TopOfPage).

    Comment: One commenter suggested that CMS evaluate the distribution of outlier payments. If CMS determines that low-volume facilities, rather than facilities treating patients of a higher acuity level, are mostly receiving the outlier payments then CMS should reduce the outlier pool and add the amount back to the standard payment conversion factor.

    Response: We will continue to monitor our IRF outlier policies to ensure that they appropriately compensate IRFs for treating unusually high-cost patients and, thereby, promote access to care of patients who are likely to require unusually high-cost care. At this time, however, we do not find any indications to suggest that low-volume facilities are disproportionately receiving outlier payments. We believe that the outlier policy of 3 percent of total estimated payments optimizes the extent to which we can encourage facilities to continue to take patients that are likely to have unusually high costs, while still providing adequate payment for all other cases. In addition, as we have explained before, we do not make adjustments to PPS payment rates to account for differences between projected and actual outlier payments in a previous year. We believe that our outlier policies are consistent with the statute and the goals of the prospective payment system, and that they are equitable. We will carefully consider the commenter's suggestions, and will consider proposing additional refinements to the

    IRF outlier policies in the future if we find that such refinements are necessary.

    Final Decision: After carefully considering all of the comments we received on the proposed update to the outlier threshold amount for FY 2012, we are reducing the outlier threshold amount to $10,660 to maintain estimated outlier payments at 3 percent of total estimated aggregate IRF payments for FY 2012.

  49. Update to the IRF Cost-to-Charge Ratio Ceilings

    In accordance with the methodology stated in the FY 2004 IRF PPS final rule (68 FR 45674, 45692 through 45694), we apply a ceiling to

    IRFs' CCRs. Using the methodology described in that final rule, we update the national urban and rural CCRs for IRFs, as well as the national CCR ceiling for FY 2012, based on analysis of the most recent data that is available. We apply the national urban and rural CCRs in the following situations:

    New IRFs that have not yet submitted their first Medicare cost report.

    IRFs whose overall CCR is in excess of the national CCR ceiling for FY 2012, as discussed below.

    Other IRFs for which accurate data to calculate an overall

    CCR are not available.

    Specifically, for FY 2012, the national average CCR for rural IRFs is 0.669, which we calculated by taking an average of the CCRs for all rural IRFs using their most recently submitted cost report data.

    Similarly, the national average CCR for urban IRFs is 0.520, which we calculated by taking an average of the CCRs for all urban IRFs using their most recently submitted cost report data. We apply weights to both of these averages using the IRFs' estimated costs, meaning that the CCRs of IRFs with higher costs factor more heavily into the averages than the CCRs of IRFs with lower costs. For this final rule, we used the most recent available cost report data (FY 2009). This includes all IRFs whose cost reporting periods begin

    Page 47869

    on or after October 1, 2008, and before October 1, 2009. If, for any

    IRF, the FY 2009 cost report was missing or had an ``as submitted'' status, we used data from a previous fiscal year's (that is, FY 2004 through FY 2008) settled cost report for that IRF. We do not use cost report data from before FY 2004 for any IRF because changes in IRF utilization since FY 2004 resulting from the 60 percent rule and IRF medical review activities suggest that these older data do not adequately reflect the current cost of care.

    In accordance with past practice, we set the national CCR ceiling at 3 standard deviations above the mean CCR. Using this method, the national CCR ceiling is set at 1.55 for FY 2012. This means that, if an individual IRF's CCR exceeds this ceiling of 1.55 for FY 2012, we would replace the IRF's CCR with the appropriate national average CCR (either rural or urban, depending on the geographic location of the IRF). We calculate the national CCR ceiling by:

    Step 1. Taking the national average CCR (weighted by each IRF's total costs, as discussed above) of all IRFs for which we have sufficient cost report data (both rural and urban IRFs combined).

    Step 2. Calculating the standard deviation of the national average

    CCR computed in step 1.

    Step 3. Multiplying the standard deviation of the national average

    CCR computed in step 2 by a factor of 3 to compute a statistically significant reliable ceiling.

    Step 4. Adding the result from step 3 to the national average CCR of all IRFs for which we have sufficient cost report data, from step 1.

    We did not receive any comments on the proposed updates to the IRF

    CCR Ceilings.

    Final Decision: We did not receive any comments on the IRF cost-to- charge ratio ceiling. Therefore, we are finalizing the national average urban CCR at 0.520, the national average rural CCR at 0.669, and the national CCR ceiling at 1.55 percent for FY 2012.

    VIII. Impact of the IPPS Data Matching Process Changes on the IRF PPS

    Calculation of the Low-Income Percentage Adjustment Factor

    Section 1886(j)(3)(A)(v) of the Act confers broad authority upon the Secretary to adjust the per unit payment rate ``by such * * * factors as the Secretary determines are necessary to properly reflect variations in necessary costs of treatment among rehabilitation facilities.'' For example, we adjust the Federal prospective payment amount associated with a CMG to account for facility-level characteristics such as an IRF's LIP, teaching status, and location in a rural area, if applicable, as described in Sec. 412.624(e).

    In the FY 2002 IRF PPS final rule (66 FR 41359 through 41361) that implemented the IRF PPS, we established the IRF LIP adjustment. In that final rule, we said that we would calculate the LIP adjustment by using the same DSH patient percentage used in the acute IPPS DSH adjustment.

    The DSH patient percentage is equal to the sum of the

    ``Supplemental Security Income (SSI) fraction'' and the ``Medicaid

    Fraction.'' We compute the SSI fraction (also known as the ``SSI ratio'' or the ``Medicare fraction'') by dividing the number of the facility's inpatient days that are furnished to patients who were entitled to both Medicare Part A (including patients who are enrolled in a Medicare Advantage (Part C) plan) and SSI benefits by the facility's total number of patient days furnished to patients entitled to benefits under Medicare Part A (including patients who are enrolled in a Medicare Advantage (Part C) plan). To determine the number of inpatient days for individuals entitled to both Medicare Part A and

    SSI, as required for calculation of the numerator of the SSI fraction, we match the Medicare records and SSI eligibility records for each

    IRF's patients during the FY. The data underlying the match process are drawn from: (a) The Medicare Provider Analysis and Review (MedPAR) data file; and (b) SSI eligibility data provided by the Social Security

    Administration (SSA). We recently revised this data match. See the FY 2011 IPPS final rule (75 FR 50041, 50276).

    As previously stated, it is our policy to calculate the LIP adjustment using the same DSH patient percentage used in the acute IPPS

    DSH adjustment. In keeping with this long-standing policy, we will use the same matching process as IPPS for calculating the SSI fractions for

    FYs 2011 and beyond. This process is described in the FY 2011 IPPS final rule, and will be used to calculate IRFs' SSI fractions for FY 2011. The FY 2011 IPPS final rule (75 FR 50277 through 50286) gives information on this revised data matching process.

    We received 2 comments on our stated policy to use the same data matching process as IPPS for calculating the SSI fractions for FYs 2011 and beyond, which are summarized below.

    Comment: The commenters supported our use of the same data matching process for IRFs that we use for IPPS. However, one commenter asked whether CMS plans to use the new data matching process for calculating the IRF SSI ratios for any cost reporting periods prior to FY 2011.

    Specifically, the commenter requested information on whether or not CMS plans to apply the new data matching process to any existing appeals of the IRF SSI ratios, regardless of the cost reporting period.

    Response: As we discussed in the FY 2012 IRF PPS proposed rule (76

    FR 24214 at 24249 through 24250), in keeping with our long-standing policy of using the same DSH patient percentage used in the acute IPPS

    DSH adjustment, we will use the same matching process as IPPS for calculating the IRF SSI ratios for FYs 2011 and beyond. The comment about the data matching process for existing appeals of the SSI ratio for cost reporting periods prior to FY 2011 is outside the scope of the

    FY 2012 IRF PPS proposed rule. We will continue our ongoing analysis to determine the most appropriate methodologies to use in addressing open appeals, in both the IPPS and the IRF settings.

    IX. Updates to the Policies in 42 CFR Part 412

    Prior to the implementation of the IRF PPS on January 1, 2002, IRFs were paid based on the costs that they reported on their Medicare cost reports, subject to some limits. To simplify the cost reporting process, both for providers and for CMS and the Medicare contractors that monitored the cost reports, regulations were put into place that carefully defined, for example, when and how providers could be considered ``new'' and when and how they could expand their bed size and square footage. Under the IRF PPS, however, Medicare pays IRFs according to Federal prospective payment rates that are no longer tied to an individual IRF's Medicare cost reports. This new payment methodology has made some of the requirements regarding new IRFs and

    IRF expansions obsolete.

    Prior to 2002, the regulations distinguished between freestanding rehabilitation hospitals and rehabilitation units of acute care hospitals, with separate regulatory sections for the two types of facilities even though many of the same requirements applied to both.

    Under the IRF PPS, the distinctions between freestanding IRFs and IRF units are no longer relevant because both types of facilities are paid the same and are subject to the same rules and requirements. The separation of the regulatory sections resulted in unnecessary repetition and confusion about which regulations applied to which types of facilities.

    Page 47870

    In addition, we added new IRF coverage requirements to Sec. 412.622(a)(3), (4), and (5) in the FY 2010 IRF PPS final rule (74 FR 39762 at 39811 through 39812) for IRF discharges occurring on or after

    January 1, 2010. Several of the IRF conditions of payment in the existing Sec. 412.23(b)5 and Sec. 412.29, including the requirements for preadmission screenings to be conducted on all prospective patients, the requirements for IRF patients to receive close medical supervision, the requirements for plans of care to be developed for all

    IRF patients, and the requirements for patients to receive an interdisciplinary approach to care in the IRF, mirror some of the IRF coverage requirements in Sec. 412.622(a)(3), (4), and (5).

    Finally, in recent years, we have observed an increase in the number and complexity of acquisitions and mergers occurring in this industry. In some cases, the Medicare rules and requirements for IRFs did not adequately address the number and complexity of acquisitions and mergers because they simply did not occur when the regulations were written. In other cases, regulations were written to address issues that do not exist today.

    For all of these reasons, in this final rule we consolidate, clarify, and revise the regulations for inpatient rehabilitation facilities at Sec. 412.23(b), Sec. 412.25(b), Sec. 412.29, and Sec. 412.30 to update and simplify the policies, to eliminate unnecessary repetition and confusion, and to enhance the consistency with the IRF coverage requirements in Sec. 412.622(a)(3), (4), and (5). The modifications will eliminate regulations that are no longer necessary under the IRF PPS, and they will enable IRFs to more easily adjust to beneficiary changes in demand for IRF services, which will improve beneficiary access to these services. Many of the modifications will also reduce costs for providers and for the government by reducing the amount of time and expenditures devoted to adhering to (for providers) and enforcing (for the government) regulations that are no longer necessary. As we have no way of determining how many IRFs might take advantage of the added flexibility these regulations afford to expand or change their operations, we are not able to quantify the potential savings that may result from these changes. For example, each time an

    IRF unit submitted a request to add beds to its facility under the prior regulations; the Medicare contractor had to determine whether or not the added IRF beds would be considered ``new.'' To be considered

    ``new,'' the beds must have been added at the start of a cost reporting period, and the hospital must have ``obtained approval, under State licensure and Medicare certification, for an increase in its hospital bed capacity that is greater than 50 percent of the number of beds it seeks to add to the unit.'' We believe that the first requirement (that beds can only be added at the start of a cost reporting period) was difficult, and potentially costly, for IRFs that were expanding through new construction because the exact timing of the end of a construction project is often difficult to predict. Construction delays can hamper an IRF's ability to have the construction completed exactly at the start of a cost reporting period, which can lead to significant revenue loss for the facility if the IRF is unable to add beds until the next cost reporting period. We believe that it is no longer necessary to require IRF beds to be added at the start of a cost reporting period.

    Further, the regulations required Medicare contractors to expend unnecessary resources determining whether the IRF met the second criteria, which required the hospital to have ``obtained approval, under State licensure and Medicare certification, for an increase in its hospital bed capacity that is greater than 50 percent of the number of beds it seeks to add to the unit.'' The modifications to the regulations in this final rule are designed to simplify the regulations in order to minimize the amount of effort that Medicare contractors would need to spend enforcing them. Finally, the modifications will enhance the consistency between the IRF coverage and payment requirements.

    We note that Sec. 412.25(b) applies to both IRFs and inpatient psychiatric facilities (IPFs), so the revisions to Sec. 412.25(b) will also affect IPFs in similar ways.

  50. Consolidation of the Requirements for Rehabilitation Hospitals and

    Rehabilitation Units

    Under the IRF PPS, rehabilitation hospitals and rehabilitation units of acute care hospitals (and critical access hospitals (CAHs)) are paid the same and, with very few exceptions, are subject to the same Medicare rules and requirements. For this reason, we believe that it is no longer necessary to have separate sections in 42 CFR part 412 that define the requirements for rehabilitation hospitals and rehabilitation units of acute care hospitals (and CAHs). This leads to excessive repetition and potential confusion about which rules apply to which types of facilities.

    Thus, we are revising and consolidating the regulations for rehabilitation facilities that are currently in Sec. 412.23(b) (for rehabilitation hospitals), Sec. 412.29 (for rehabilitation units), and

    Sec. 412.30 (for rehabilitation units) into a revised Sec. 412.29 that contains the requirements for all IRFs, whether they be freestanding rehabilitation hospitals or rehabilitation units of acute care hospitals (or CAHs). We believe that this will simplify the regulations by consolidating the majority of the requirements for IRFs into just one sub-section of 42 CFR part 412.

    Although we are making slight modifications to the regulations in

    Sec. 412.25(b), as discussed in section IX of this final rule, we are not moving the IRF regulations in Sec. 412.25 to Sec. 412.29 in this final rule. The regulations in Sec. 412.25, such as the requirement to have beds that are physically separate from the rest of the hospital, the requirement that the unit be serviced by the same Medicare contractor as the rest of the hospital, and the requirement that the unit be treated as a separate cost center for cost finding and apportionment purposes, by their nature apply uniquely to units that are part of another hospital. While these requirements are not applicable to freestanding IRFs, we do not believe that it would be appropriate to include them with the rest of the IRF regulations in

    Sec. 412.29 that are intended to apply to both freestanding IRF hospitals and to IRF units of hospitals. Further, we are not making modifications to Sec. 412.25, other than the changes to Sec. 412.25(b) as discussed in section IX of this final rule, because the regulations in Sec. 412.25(a) through (g) (excluding (b)) remain relevant and important for defining IRF units of hospitals for payment purposes.

    However, we are replacing the text that was located at Sec. 412.23(b) with text that simply refers the reader to the requirements in Sec. 412.29, and moving the rest of Sec. 412.23(b) and all of

    Sec. 412.30 to Sec. 412.29. We are leaving text in Sec. 412.23(b) that refers IRFs to the requirements they must meet in Sec. 412.29 only so that we do not disturb the ordering of the rest of Sec. 412.23 that contain the Medicare regulations for inpatient psychiatric facilities, children's hospitals, and long-term care hospitals.

    Specifically, we are moving all of the text in Sec. 412.23(b) to Sec. 412.29 except for a new paragraph that refers to the requirements in

    Sec. 412.29, which would read as follows: ``(b) Rehabilitation hospitals. A rehabilitation hospital must meet the requirements specified in Sec. 412.29 to be excluded from the prospective payment

    Page 47871

    systems specified in Sec. 412.1(a)(1) and to be paid under the prospective payment system specified in Sec. 412.1(a)(3) and in subpart P of this part.''

  51. Revisions to the Regulations at Proposed Sec. 412.29

    As described in section IX.A. of this final rule, we are replacing the text that was located at Sec. 412.23(b) with text that simply refers the reader to the requirements in Sec. 412.29, and moving the rest of Sec. 412.23(b) and all of Sec. 412.30 to Sec. 412.29. To eliminate any unnecessary repetition, and to update and clarify the regulations, we are also making revisions to the language from all three of the prior sections, Sec. 412.23(b), Sec. 412.29, and Sec. 412.30. As stated in the prior Sec. 412.30, a rehabilitation unit can only be considered ``new'' if the hospital has never had a rehabilitation unit before. We have encountered circumstances in which a hospital closed a rehabilitation unit over 20 years ago and is now seeking to re-open the rehabilitation unit, and we believe that it would be reasonable to consider the rehabilitation unit to be ``new.''

    Thus, we are revising the requirements for an IRF to be considered

    ``new'' to indicate that an IRF can be considered ``new'' if it has not been paid under the IRF PPS in 42 CFR part 412, subpart P for at least 5 calendar years. These requirements will now apply equally to both rehabilitation hospitals and rehabilitation units of acute care hospitals (or CAHs), and will be located in Sec. 412.29(c)(1). We believe that 5 calendar years will allow a sufficient amount of time between an IRF closing and an IRF reopening to prevent IRFs from closing and reopening annually to avoid meeting certain requirements, while allowing IRFs more flexibility to meet changing demand for IRF services.

    In addition, we clarify and simplify the rules regarding change of ownership (including mergers) or leasing, as defined in Sec. 489.18.

    Changes of ownership or leasing, as defined in Sec. 489.18, and mergers in which the new owner(s) accept assignment of the previous owner's provider agreements are transfers of the provider agreement.

    Therefore, IRFs in these situations will retain their excluded status and will continue to be paid under the IRF PPS before and after the change, as long as the IRF continues to meet all of the requirements specified in Sec. 412.29. However, we clarify that a change of ownership (including merger) or leasing in which the new owner(s) do not accept assignment of the previous owner's provider agreement would be considered a voluntary termination of the provider agreement, and the new owner(s) will need to reapply to the Medicare program as an initial applicant to operate a new IRF. In the case of changes of ownership (including mergers) or leasing, the new owner(s) will not be required to wait for 5 calendar years to reapply to operate a new IRF, but will be required to complete the initial hospital or critical access hospital certification process to participate in Medicare as a new IRF.

    Further, we revise the regulations regarding new IRF beds. The regulations formerly in Sec. 412.30(d), which required an IRF to obtain ``approval, under State licensure and Medicare certification, for an increase in its hospital bed capacity that is greater than 50 percent of the number of beds it seeks to add to the unit,'' have become less and less relevant under a prospective payment system in which payments are no longer based on IRFs' reported costs. Thus, we eliminate these requirements and, instead, state in Sec. 412.29(c)(2) that IRF beds would be considered ``new'' if they meet all applicable

    State Certificate of Need and State licensure laws and if they get written approval from the appropriate CMS regional office (RO), as described below. New IRF beds can be added one time at any point during a cost reporting period (instead of at the start of a cost reporting period), but we require that a full 12-month cost reporting period elapse before an IRF that has had beds delicensed or decertified can add new beds. The reason for this requirement is to prevent IRFs from decreasing and increasing bed size every year to avoid having to meet certain requirements. We require the IRF to obtain written approval from the appropriate CMS RO for the addition of the new beds in order to allow the CMS RO to verify that a full 12-month cost reporting period has elapsed before an IRF that has had beds delicensed or decertified can add new beds.

  52. Revisions to the Requirements for Changes in Bed Size and Square

    Footage

    Prior to the IRF PPS and the IPF PPS, excluded units (IRFs and

    IPFs) were paid based on their costs, as reported on their Medicare cost reports, subject to certain facility-specific cost limits. These cost-based payments were determined separately for operating and capital costs. Thus, under cost-based payments, the facilities' capital costs were determined, in part, by their bed size and square footage.

    Changes in the bed size and square footage would complicate the facilities' capital cost allocation. Thus, the Medicare regulations at

    Sec. 412.25 limited the situations under which an IRF or IPF could change its bed size and square footage.

    Under the IRF PPS and IPF PPS, however, a facility's bed size and square footage is not relevant for determining the individual facility's Medicare payment. Thus, we believe it is appropriate to modify some of the restrictions on a facility's ability to change its bed size and square footage. We are therefore relaxing the restrictions on a facility's ability to increase its bed size and square footage.

    Under the revised requirements we are adopting in this final rule in

    Sec. 412.25(b), an IRF or IPF can change (either increase or decrease) its bed size or square footage one time at any point in a given cost reporting period as long as it notifies the CMS RO at least 30 days before the date of the proposed change, and maintains the information needed to accurately determine costs that are attributable to the excluded units. As we have in prior years, we also include an exception to these requirements for special circumstances. We note that any IRF beds that are added to an existing IRF during the IRF's cost reporting period will only be considered new through the end of that cost reporting period. Further, the new IRF beds will be included in the

    IRF's compliance review calculations under the 60 percent rule specified in Sec. 412.29(b) beginning on the date that they are first added to the IRF.

  53. Revisions To Enhance Consistency Between the IRF Coverage and

    Payment Requirements

    In the FY 2010 IRF PPS final rule (74 FR 39762 at 39788 through 39798), we implemented new IRF coverage requirements in Sec. 412.622(a)(3),(4), and (5). These new IRF coverage requirements replaced coverage requirements that were 25 years old and no longer reflected current medical practice. In updating these coverage requirements, we added further specificity to some of the terms that had been discussed in the old coverage requirements. For example, we more clearly defined in the new IRF coverage requirements what we mean by an IRF preadmission screening, care planning, and close medical supervision. In the revisions to Sec. 412.23(b) and Sec. 412.29, we enhance the consistency between the IRF coverage and payment requirements by incorporating some of the added specificity from the coverage requirements into the same requirements for payment.

    Specifically, we clarify that, as in the IRF coverage requirements, IRF preadmission screenings must be reviewed and

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    approved by a rehabilitation physician prior to each prospective patient's admission to an IRF. As we said in the FY 2010 IRF PPS final rule (74 FR 39791), we believe that it is important to require that a rehabilitation physician document the reasoning behind the decision to admit a patient to an IRF, to enable medical reviewers to understand the rationale for the decision.

    Further, we clarify, as we did in the coverage requirements at

    Sec. 412.622(a)(3)(iv), that close medical supervision in an IRF means that the patient receives at least 3 face-to-face visits per week by a licensed physician with specialized training and experience in inpatient rehabilitation to assess the patient both medically and functionally, as well as to modify the course of treatment as needed to maximize the patient's capacity to benefit from the rehabilitation process. As we stated in the FY 2010 IRF PPS final rule (74 FR 39796), we believe that at least 3 face-to-face rehabilitation physician visits per week are necessary to coordinate the patient's medical needs with his or her functional rehabilitation needs while in the facility.

    We received 12 comments on the proposed updates to the policies in 42 CFR part 412, which are summarized below.

    Comment: Several commenters requested that CMS not make the proposed changes to the regulation text in 42 CFR 412.29(d) and (e).

    Although one commenter agreed with the proposed changes to the regulation text to align portions of the IRF coverage requirements with the corresponding portions of the IRF classification requirements, the rest of the commenters on these provisions expressed concerns. The concerns expressed were primarily that the proposed changes could blur the distinctions between the IRF coverage and the IRF classification requirements, and could potentially lead to inappropriate revocations of an IRF's classification for payment under the IRF PPS based on only a single claim denial (or a small number of claims denials). The commenters suggested that CMS restate its previous position that the failure of an IRF to meet the IRF coverage requirements for one individual case should not be used to declassify an IRF for payment under the IRF PPS. Some of these commenters also asked for further explanation of how these proposed changes would reduce costs for IRFs and for the government.

    Response: We agree with the commenters that, as we have stated previously, failure to meet the IRF coverage requirements in one individual case should not be used to decertify an entire facility for payment under the IRF PPS. However, the intent of the proposed revisions is to make the 2 sets of requirements consistent with each other to eliminate any potential for confusion or ambiguity. We believe that we would be remiss in not making it clear that, in the IRF context, we require the preadmission screening documentation to be reviewed and approved by a rehabilitation physician prior to the IRF admission. Under the IRF coverage requirements, this is required for all IRF admissions, so it also must be built into the preadmission screening procedures that all IRFs must have in place. Similarly, we believe that we would be remiss in not clarifying that, in the IRF context, we define close medical supervision to mean at least 3 face- to-face visits per week by a rehabilitation physician to assess the patient both medically and functionally. We established this definition for the IRF coverage requirements in the FY 2010 IRF PPS final rule (74

    FR 39762 at 39795 through 39796), and we simply proposed to clarify in

    Sec. 412.29(e) that the term means the same thing in the IRF classification requirements that it means in the IRF coverage requirements.

    Reinforcing the identical concepts (and, in most cases, the identical wording) from the IRF coverage criteria to the IRF classification criteria can only serve to clarify exactly what we mean, so that there is no confusion or ambiguity. In our opinion, this aligns with our stated goals in the FY 2012 IRF PPS proposed rule (76 FR 24214 at 24250) of updating and simplifying the policies, eliminating unnecessary repetition and confusion, and enhancing the consistency between the IRF classification and the IRF coverage requirements. This particular change does not reduce costs for IRFs or for the government, but does promote clarity and consistency among Medicare's regulations.

    As we do not intend for an IRF to be declassified for the purposes of receiving payment under the IRF PPS based on a small number of IRF claims denials, we agree with some of the commenters who suggested revisions to the language to focus the requirements on whether the IRFs have the correct processes in place to meet the requirements, rather than on whether the IRFs meet the requirements in each individual case.

    We agree that failure to meet the IRF coverage requirements in one individual case is not a reason to declassify an entire IRF from receiving payment under the IRF PPS. Thus, we are adopting slight revisions to the regulation text, suggested by commenters, that we believe will clarify that an IRF cannot be declassified as an IRF for failing to meet the coverage criteria in just one or two cases. The revised regulation text is included in the ``Regulation Text'' section of this final rule.

    Even though we believe that an IRF should not lose its IRF classification because one individual case (or even a small number of cases) fails to meet the IRF coverage requirements, we note that we do believe that it is reasonable to conclude that an IRF's preadmission screening procedure is not adequate if a large percentage of the IRF's claims are denied because the preadmission screening information was not reviewed and approved by a rehabilitation physician prior to the

    IRF admission. Similarly, we believe that it is reasonable to conclude that an IRF's procedure for ensuring that patients receive close medical supervision is not adequate if a large proportion of the IRF's claims are denied because the patients were not seen and assessed by a rehabilitation physician at least 3 times per week.

    Comment: Several commenters requested that CMS change the regulations to treat the acquisition of an IRF unit the same as the acquisition of a freestanding IRF hospital.

    Response: We appreciate the commenters' suggestion and will carefully consider this for the future. However, we believe that this suggestion is outside the scope of the FY 2012 IRF PPS proposed rule

    (76 FR 24214) because it involves the issue of whether an entity can purchase a hospital's payment status under Medicare. While an entity can purchase physical assets, Medicare payment status is assigned to a particular provider based on a review of the provider's eligibility for payment under a particular Medicare payment system. We do not believe that a facility's Medicare payment status or its provider agreement can be bought, sold, or transferred. If a different hospital other than the one to which the Medicare payment status was assigned wants to obtain the same Medicare payment status, it must apply and demonstrate that it meets the requirements for payment under the particular Medicare payment system.

    Comment: While several commenters supported the proposed regulations regarding ``new'' IRFs, changes of ownership, and mergers, some of these commenters requested that CMS specify that certain

    ``internal corporate restructuring transactions'' not involving external entities are not

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    changes of ownership. For example, these commenters said that they do not believe that the purchase of a hospital by another hospital, where both hospitals are owned by the same corporate entity, should be treated as a change of ownership for Medicare purposes.

    Response: We believe that this suggestion is outside the scope of the FY 2012 IRF PPS proposed rule (76 FR 24214) because it involves how

    Medicare defines a hospital. For Medicare purposes, hospitals are separate entities if they have separate Medicare provider agreements, regardless of whether they might both be owned by the same corporate entity. If one hospital with a Medicare provider agreement purchases another hospital with a Medicare provider agreement, regardless of whether the hospitals are owned by the same corporate entity or not,

    Medicare would consider this a change of ownership, which would be governed by the new regulations in 42 CFR 412.29(c)(3) discussed in the

    ``Regulation Text'' section of this final rule. Similarly, if hospitals with separate Medicare provider agreements merge their operations, regardless of whether they are owned by the same corporate entity or not, then the new regulations regarding mergers in 42 CFR 412.29(c)(4) discussed in the ``Regulation Text'' section of this final rule would apply.

    Comment: Several commenters agreed with the proposed changes to

    Sec. 412.25(b) to allow expansions of bed size or square footage at any time during a cost reporting period. However, some commenters suggested that CMS should allow new IRF units or new IPF units to open and begin being paid under their respective IRF PPS or IPF PPS at any time during a cost reporting period, rather than requiring that they could only begin being paid under the IRF PPS or the IPF PPS at the start of a cost reporting period.

    Response: We appreciate the commenters' suggestion that we relax the requirement that IRF and IPF units can only begin being paid under their respective IRF PPS or IPF PPS at the start of a cost reporting period. However, we believe that this suggestion is outside the scope of the FY 2012 IRF PPS proposed rule (76 FR 24214) because we did not propose any changes to the regulations in Sec. 412.25(c). However, we will consider this suggestion for possible inclusion in future rulemaking.

    Final Decision: After carefully considering all of the comments we received on the proposed updates to the policies in 42 CFR part 412, we are finalizing the regulation text changes as proposed, except for the following revisions in response to comment:

    Instead of the proposed revision to Sec. 412.29(d), the paragraph will instead read, ``(d) Have in effect a preadmission screening procedure under which each prospective patient's condition and medical history are reviewed to determine whether the patient is likely to benefit significantly from an intensive inpatient hospital program. This procedure must ensure that the preadmission screening is reviewed and approved by a rehabilitation physician prior to the patient's admission to the IRF.''

    Instead of the proposed revision to Sec. 412.29(e), the paragraph will instead read, ``(e) Have in effect a procedure to ensure that patients receive close medical supervision, as evidenced by at least 3 face-to-face visits per week by a licensed physician with specialized training and experience in inpatient rehabilitation to assess the patient both medically and functionally, as well as to modify the course of treatment as needed to maximize the patient's capacity to benefit from the rehabilitation process.'' The specific changes to the regulations at 42 CFR part 412 are shown in the

    ``Regulation Text'' of this final rule.

    X. Quality Reporting Program for IRFs

  54. Background and Statutory Authority

    CMS seeks to promote higher quality and more efficient health care for Medicare beneficiaries. Our efforts are, in part, effectuated by quality reporting programs coupled with the public reporting of data collected under those programs. The quality reporting programs exist for various settings such as hospital inpatient services (the Hospital

    Inpatient Quality Reporting (Hospital IQR) Program), hospital outpatient services (the Hospital Outpatient Quality Reporting

    (Hospital OQR) Program), and physicians and other eligible professionals (the Physician Quality Reporting System (formerly called the Physician Quality Reporting Initiative, or PQRI)). We have also implemented quality reporting programs for home health agencies and skilled nursing facilities that are based on conditions of participation, and an end-stage renal disease quality incentive program

    (ESRD QIP) that links payment to performance.

    Section 3004(b) of the Affordable Care Act added section 1886(j)(7) to the Act, which requires the Secretary to implement a quality reporting program for IRFs, including freestanding IRF hospitals and

    IRF units within hospitals. Beginning in FY 2014, section 1886(j)(7)(A)(i) of the Act requires the Secretary to reduce the increase factor to a fiscal year by 2 percentage points for any IRFs that do not submit data to the Secretary in accordance with requirements established by the Secretary for that fiscal year. Section 1886(j)(7)(A)(ii) of the Act notes that this reduction may result in the increase factor being less than 0.0 for a fiscal year, and in payment rates under this subsection for a fiscal year being less than the payment rates for the preceding fiscal year. Any reduction based on failure to comply with the reporting requirements is, in accordance with section 1886(j)(7)(B) of the Act, limited to the particular fiscal year involved. The reductions are not to be cumulative and will not be taken into account in computing the payment amount under subsection (j) for a subsequent fiscal year.

    Section 1886(j)(7)(C) of the Act requires that each IRF submit data to the Secretary on quality measures specified by the Secretary. The data must be submitted in a form and manner, and at a time, specified by the Secretary. The Secretary is generally required to specify measures that have been endorsed by the entity with a contract under section 1890(a) of the Act. This contract is currently held by the

    National Quality Forum (NQF). The NQF is a voluntary consensus standard-setting organization with a diverse representation of consumer, purchaser, provider, academic, clinical, and other health care stakeholder organizations. The NQF was established to standardize health care quality measurement and reporting through its consensus development process. We have generally adopted NQF-endorsed measures in our reporting programs. However, section 1886(j)(7)(D)(ii)of the Act provides that ``in the case of a specified area or medical topic determined appropriate by the Secretary for which a feasible and practical measure has not been endorsed by the entity with a contract under section 1890(a) of the Act, the Secretary may specify a measure that is not so endorsed as long as due consideration is given to measures that have been endorsed or adopted by a consensus-based organization identified by the Secretary.'' Under section 1886(j)(7)(D)(iii) of the Act, the Secretary must publish the selected measures that will be applicable to FY 2014 no later than October 1, 2012.

    Section 1886(j)(7)(E) of the Act requires the Secretary to establish procedures for making data submitted under the IRF quality reporting program

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    available to the public. The Secretary must ensure that an IRF is given the opportunity to review the data that is to be made public prior to the data being made public. The Secretary must report quality measures that relate to services furnished in inpatient settings in rehabilitation facilities on the CMS Web site.

  55. Quality Measures for IRF Quality Reporting Program for FY 2014 1. General

    As described below, we adopt 2 quality measures for FY 2014. These quality measures are: (1) Urinary Catheter-Associated Urinary Tract

    Infections (CAUTI); and (2) Pressure Ulcers that are New or Have

    Worsened. We also discuss below a third measure that we are currently developing and intend to propose to adopt for FY 2014 in future rulemaking. That measure will be the 30-day Comprehensive All-Cause

    Risk-Standardized Readmission Measure. 2. Considerations in the Selection of the Proposed Quality Measures

    In implementing the IRF Quality Reporting Program, we seek to collect data on measures that will provide information on the full spectrum of the quality of care being furnished by IRFs while imposing as little burden as possible on IRFs. We seek to collect data on valid, reliable, and relevant quality measures and to make that data available to the public in accordance with applicable law.

    We also seek to align new Affordable Care Act reporting requirements for IRFs with HHS' broader goals of targeting high priority conditions and topics, as reflected in the National Quality

    Strategy released by the Secretary available at (http://www.healthcare.gov/center/reports/quality03212011a.html#es) and, ultimately, to provide a comprehensive assessment of the quality of healthcare delivered. We note that adopting a comprehensive set of measures may take multiple years because of the time, effort and resources required by IRFs and CMS to develop and implement the data collection and reporting infrastructure needed to support an expanded quality reporting program. Current areas of high priority for HHS include patient safety, healthcare associated infections, and reduction of avoidable readmissions. These priorities are consistent with the aim of providing safe, sound care for all patients receiving services in any healthcare setting including IRFs.

    In our consideration and selection of a comprehensive set of quality measures, we have several objectives. First, the measures should align with CMS' three-part aim for better care for individuals, better health for populations, and lower cost through improvement.

    Second, the measures should relate to specific priorities in the care setting for which they are adopted. For IRFs, these include improving patient safety (such as avoiding healthcare associated infections

    (HAI)), reducing adverse events, and encouraging better coordination of care and person-and-family-centered care. Third, the measures should address improved quality for the primary role of IRFs, which is to address the rehabilitation needs of the individual including improved functional status and achievement of successful return to the community post-discharge.

    Other considerations in selecting quality measures include alignment with other Medicare quality reporting programs and other private sector initiatives; suggestions and input received from multiple stakeholders and national subject matter experts; seeking measures that have a low probability of causing unintended adverse consequences; and considering measures that are feasible, that is, measures that can be technically implemented within the capacity of the

    CMS infrastructure for data collection, analyses, and calculation of reporting and performance rates as applicable. 3. FY 2014 Measure 1: Healthcare Associated Infection Measure

    (HAI): Urinary Catheter-Associated Urinary Tract Infections (CAUTI)

    The first measure we proposed for purposes of calculating the FY 2014 Increase Factor for IRFs is an application of the NQF-endorsed measure developed by the Centers for Disease Control (CDC) for hospitals entitled (NQF0138)''Urinary Catheter-Associated

    Urinary Tract Infection (CAUTI) for Intensive Care Unit Patients'' to the IRF setting. This measure was developed by the CDC to measure the percentage of patients with urinary catheter associated urinary tract infections in the ICU context. We believe that this measure is highly relevant to IRFs in that urinary catheters are commonly used in the IRF setting. Section 1886(j)(7)(D)(ii) of the Act provides that ``in the case of a specified area or medical topic determined appropriate by the

    Secretary for which a feasible and practical measure has not been endorsed by the entity with a contract under section 1890(a) of the

    Act, the Secretary may specify a measure that is not so endorsed as long as due consideration is given to measures that have been endorsed or adopted by a consensus-based organization identified by the

    Secretary.'' We reviewed the NQF's consensus endorsed measures, and were unable to identify any NQF-endorsed measures for catheter- associated urinary tract infections for the IRF setting. We are unaware of any other measures of urinary tract infections that have been approved by voluntary consensus standards bodies. Having given due consideration to other measures that have been endorsed or adopted by a consensus entity, we proposed to adopt an application of the NQF- endorsed CAUTI measure under the Secretary's authority to select non-

    NQF endorsed measures where NQF-endorsed measures do not exist for a specified area or medical topic. While we proposed to adopt the measure under the exception authority provided in section 1886(j)(7)(D)(ii) of the Act, we noted that we intended to seek formal extension of the existing CAUTI measure to the IRF setting.\1\

    \1\ We inadvertently said in the FY 2012 IRF PPS proposed rule

    (76 FR 24214) that we (CMS) would ask NQF to formally extend its endorsement of the existing CAUTI measure to the IRF setting. We should have stated that we would ask CDC, as the measure steward, to ask NQF to formally extend its endorsement of the existing CAUTI measure to the IRF setting.

    Urinary tract infections (UTIs) are a common cause of morbidity and mortality. The urinary tract is the most common site of healthcare- associated infection, accounting for more than 30 percent of infections reported by acute care hospitals \2\. Healthcare-associated UTIs are commonly attributed to catheterization of the urinary tract.

    \2\ Klevens RM, Edward JR, et al. Estimating health care- associated infections and deaths in U.S. hospitals, 2002. Public

    Health Reports 2007;122:160-166.

    CAUTI can lead to complications such as cystitis, pyelonephritis, gram-negative bacteremia, prostatitis, epididymitis, and orchitis in males and, less commonly, endocarditis, vertebral osteomyelitis, septic arthritis, endophthalmitis, and meningitis in all patients.

    Complications associated with CAUTI include discomfort to the patient, prolonged hospital stay, and increased cost and mortality. Each year, more than 13,000 deaths are associated with UTIs \3\. Prevention of

    CAUTIs is discussed in the CDC/HICPAC document, Guideline for

    Prevention of Catheter-associated Urinary Tract Infections\4\. The NQF- endorsed CAUTI

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    measure we proposed is currently collected by the CDC's National

    Healthcare Safety Network (NHSN), a secure Internet-based health surveillance system, and we note that the CDC is also collecting data on this measure from IRFs. NHSN is currently used, in part, as one means by which certain State-mandated reporting and surveillance data are collected.

    \3\ Ibid.

    \4\ Wong ES. Guideline for prevention of catheter-associated urinary tract infections. Infect Control 1981;2:126-30.

    The HHS National Action Plan to Prevent HAIs located at (http://www.hhs.gov/ash/initiatives/hai/actionplan/index.html) identified catheter-associated urinary tract infections as the leading type of HAI that is largely preventable. The technical expert panel (TEP) convened by the CMS measure-developer-contractor on February 4, 2011 (https://www.cms.gov/LTCH-IRF-Hospice-Quality-Reporting/) also identified CAUTI as a high priority quality issue for IRFs.

    We received 23 public comments on the Urinary Catheter-Associated

    Urinary Tract Infections (CAUTI) quality measure, which are summarized below.

    Comment: Several commenters generally acknowledged CAUTI as an important safety and quality issue across care settings. However, several commenters expressed concern with the applicability of this measure to the IRF setting. They stated that the relatively small number of new UTIs in IRFs may reflect that the indicator is not the best choice as a quality indicator in the IRF setting.

    Response: Although patients with CAUTI in the IRF setting may be a minority, we believe that the CAUTI measure is an important indicator of quality in IRF settings and that promoting safe care in all settings is an important goal for quality reporting programs. Additionally, it is important to note that the HHS National Action Plan to Prevent HAIs located at (http:[sol][sol]www.hhs.gov/ash/initiatives/hai/actionplan/ index.html) indicated that catheter-associated urinary tract infections are a leading type of HAI that is largely preventable. Also, the technical expert panel that was convened by the CMS contractor that was tasked with assisting with the development of measures identified CAUTI as a high priority issue for IRFs.

    Comment: One commenter specifically supported the adoption of CAUTI reporting in the IRF context through the National Healthcare Safety

    Network (NHSN). They noted that hospitals in their State, including

    IRFs, have been required by State law-based reporting requirements to use NHSN to report all health care-associated infections since February 2008. The commenter also stated that, based on the health care- associated infection data collected and analyzed in that State, urinary tract infection is the most prevalent type of infection reported in that State's IRFs.

    Response: We appreciate the commenter's observation that UTIs are both the most prevalent and preventable form of infection in the IRF setting, and believe that CAUTI is an important quality measure to adopt for the IRF quality reporting program.

    Comment: One commenter stated that CAUTI is a much less relevant marker of quality in IRFs with short lengths of stay, where catheters come out almost immediately. The commenter additionally stated that it is sometimes difficult to find supporting documentation of catheter use within transfer documents. The commenter also stated that lack of documentation could lead to additional testing of patients on admission, resulting in increased time burden and cost to IRFs.

    Response: We acknowledge the challenges providers may initially encounter in finding supporting documentation in transfer documents of catheter use. However, we believe that implementation of this requirement will encourage better documentation of catheter use over time. The CDC provides educational and outreach materials to help promote communication of such information. Additionally, we believe such information may be provided by other sources, such as the patient.

    Finally, the specifications for the measure, which are available at http://www.cdc.gov.nhsn/forms/instr/57_114.pdf, do not require all patients to be tested on admission. We agree with this approach because clinical experts generally agree that identification of CAUTI rests upon a constellation of patient symptoms, as well as on the results of clinical and laboratory data. Quality care in IRFs requires close medical monitoring of all patients, and we believe that such monitoring will appropriately identify the subset of IRF patients who are most at risk for CAUTI and therefore should be tested.

    Comment: Some commenters expressed concern that the CAUTI measure was originally created for use in the inpatient ICU setting and questioned the use of a measure that was not specifically endorsed for the IRF setting. In contrast, another commenter noted that, although the CAUTI measure was originally created for use in the inpatient ICU setting, its use is also well established in other inpatient settings.

    Moreover, they asserted that this measure is an appropriate measure for the IRF setting. The commenter also said that they were pleased to see that only indwelling catheters are included for this measure, versus

    ``straight in-and-out'' (intermittent) catheters which are frequently used by spinal cord injury patients who often require extensive IRF services.

    Response: We acknowledge that the CAUTI measure, for which CDC is the measure steward, is currently endorsed by NQF for ICUs, and not specifically endorsed for the IRF setting. However, given the importance and preventability of CAUTIs in all settings including IRFs, we proposed to adopt an application of the NQF-endorsed measure under the Secretary's authority to select non-NQF endorsed measures where measures do not exist for a specified area or medical topic. We also noted that we would seek NQF endorsement of the measure for application in the IRF setting.

    Comment: One commenter urged CMS to refine the CAUTI measure for specific use in IRFs. Additionally this commenter cited the potential need for testing the measure in IRFs and agreed with several other commenters, who recommended delaying reporting CAUTI until CMS obtains

    NQF endorsement of this measure specifically for the IRF setting.

    Response: CAUTI has been well tested in the ICU setting, and we see no reason why the IRF setting would produce different results since presence or absence of CAUTI is not dependent upon setting type, but rather clinical findings, signs, and symptoms.

    As stated above, we proposed to adopt the measure under the exception authority provided in section 1886(j)(7)(D)(ii) of the Act, and we note that the quality measure steward, the CDC, is seeking NQF's expansion of its endorsement of the CAUTI measure to IRFs.

    Comment: Several commenters expressed concern with potential erroneous attribution of infections that may have resulted from catheter use in a previous setting. However, one commenter expressed support for the CAUTI measure's ``transfer rule exception,'' defined as transfers within an inpatient facility or transfers to a new facility, which may alleviate some of the perceived issues with attribution.

    Response: We thank the commenters for their remarks and we acknowledge their concerns. As the commenter noted, the CAUTI measure's

    ``transfer rule exception'' excludes patients with CAUTI present on admission (POA) or who develop CAUTI within 48 hours of transfer to the

    IRF setting. Such CAUTIs are attributed to the transferring

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    location, rather than the admitting location. We believe that this appropriately addresses the potential risk of erroneous attribution for transferred patients. Additional information on the ``Transfer Rule'' can be found at http://www.cdc.gov/nhsn/PDFs/slides/CAUTI.pdf.

    Comment: Several commenters also expressed their concern with the lack of a ``present on admission'' (POA) indicator, and stated that the absence of a POA indicator may result in incorrect tallies.

    Additionally, one commenter recommended that CMS pursue development of a timeline and implementation plan for a POA indicator for CAUTI prior to finalizing the proposed IRF measures.

    Response: We do not believe that the absence of a POA indicator will lead to erroneous tabulation of UTIs. The ``transfer rule'' that is discussed in the NHSN patient safety module clearly indicates that,

    ``If the UTI develops in a patient within 48 hours of discharge from a location, indicate the discharging location on the infection report, not the current location of the patient.'' We believe that this guidance allows IRFs to accurately tabulate the number of CAUTIs that develop in the IRF, even without a POA indicator for this measure.

    However, we will consider working with the CDC to determine whether the application of a claims-based POA indicator in addition to implementation of the ``transfer rule'' would be useful. If our work with the CDC finds that this would potentially be useful, we will consider this for future rulemaking.

    Comment: One commenter recommended that health care-associated infection rates and standardized infection rates for IRFs be evaluated separately from any data reported by general acute care hospitals and long term care hospitals.

    Response: We appreciate the commenter's concern that health care- associated infection rates and standardized infection rates for IRFs be evaluated separately from any data reported by general acute care hospitals and long term care hospitals. As the IRF quality reporting program is separate from these other quality reporting programs, we do plan to evaluate CAUTI data reported by IRFs separately from CAUTI data reported by hospitals and long term care hospitals.

    Comment: Several commenters strongly urged CMS to share how it plans to perform HAI data validation since this was not addressed in the proposed rule.

    Response: As we agree that data validation is important, we do plan to perform HAI data validation prior to the public reporting of any HAI data, and are actively working with the CDC regarding their data validation process. As part of this process, we are sharing the public comments that we received on this issue with the CDC. We will continue to work with the CDC to develop an HAI data validation strategy, and will address that aspect of the quality reporting program in future rulemaking.

    Comment: Several commenters highlighted the need to risk adjust the

    CAUTI measure. They also stated that certain patients, such as those with spinal cord injury or neurogenic bladder, were at much higher risk of developing CAUTI than other lower risk patients. Furthermore, several commenters expressed concern that the lack of risk adjustment could possibly lead to unintended consequences such as reduced access to IRFs for higher risk patients. One commenter also recommended the adoption of the CDC definition of symptomatic UTI.

    Response: We recognize that risk adjustment is an important consideration for outcome quality measures, and that certain patients may have higher risks for complications such as UTIs. The CAUTI measure specifications use facility type (including IRF) and location type information (including an identifier of whether the facility is a freestanding hospital or a unit of a hospital) for risk adjustment, and these data are captured in the NHSN reporting system. As we take the appropriate access to care in IRFs very seriously, we intend to monitor closely whether the quality reporting program has any unintended consequences on access to care for higher risk patients. Should we find any, we will take appropriate steps to address these issues in future rulemaking. Also, we agree with the commenter's suggestion that we adopt the CDC definition of symptomatic UTI, and are planning to adopt this definition in future rulemaking.

    Final Decision: Having carefully considered the comments received, we adopt as final an application of the NQF-endorsed measure that was developed by the CDC for ICUs entitled (NQF 0138) ``Catheter-

    Associated Urinary Tract Infection [CAUTI] for Intensive Care Unit

    Patients'' for the IRF setting. 4. FY 2014 Measure 2: Percent of Patients With Pressure Ulcers

    That Are New or Worsened

    The second measure we proposed for IRFs for purposes of calculating the FY 2014 increase factor is an application of a CMS-developed NQF- endorsed measure for short-stay nursing home patients; (NQF 0678, formerly assigned as NQF NH-012-10) ``Percent of Residents with Pressure Ulcers that Are New or Worsened.'' This is the percentage of patients who have one or more stage 2 to 4 pressure ulcers that are new or worsened, when assessed at the time of discharge as compared with the patient's condition at admission. We recognized that NQF endorsement of this measure is currently limited to short-stay nursing home patients in the proposed rule, but we noted our belief that this measure is also highly relevant to patients in any setting who are at risk of pressure ulcer development and a high priority quality issue in the care of IRF patients. Currently, there are no other NQF-endorsed pressure ulcer measures that are applicable to IRFs and we were unable to identify other measures for pressure ulcers that have been endorsed or adopted for the IRF context by a consensus organization. We were also unaware of any other measures of pressure ulcers that had been approved by voluntary consensus standards bodies.

    For these reasons, we proposed to adopt an application of this NQF- endorsed measure under the Secretary's authority to select non-NQF endorsed measures where measures do not exist for a specified area or medical topic. We also stated that we intend to ask NQF to extend its endorsement of the existing short-stay nursing home pressure ulcer measure to the IRF setting.

    Pressure ulcers are high-volume and high-cost adverse events across the spectrum of health care settings from acute hospitals to home health. Patients in the IRF setting may have medically complex conditions and severe functional limitations, and are therefore at high risk for the development, or worsening, of pressure ulcers. Pressure ulcers are serious medical conditions and an important measure of quality. Pressure ulcers can lead to serious, life-threatening infections, which substantially increase the total cost of care. As reported in the August 22, 2007, Inpatient Hospital PPS Final Rule for

    FY 2008 (72 FR 47205) in 2006 there were 322,946 reported cases of

    Medicare patients with a pressure ulcer as a secondary diagnosis in acute care hospitals.

    We received 26 comments on the Percent of Patients with Pressure

    Ulcers that are New or Worsening quality measure, which are summarized below.

    Comment: A few commenters expressed concerns about whether pressure ulcers are really relevant to the IRF setting, citing the small number of

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    IRF patients that develop a new or worsening pressure ulcer. They stated that more relevant measures were those focusing on the output of the rehabilitative process, such as change in function or discharge to community.

    Response: We agree that functional restoration and return to community are also key aims for IRFs and central to patient-centered care. We plan to add such measures through future rulemaking, as the measures are further developed.

    However, we believe that the percent of patients with new or worsening pressure ulcers is an important indicator of quality in the

    IRF setting. Even if the proportion of patients in IRFs with new or worsening pressure ulcers is small, any such cases are particularly troubling given the requirement that IRF patients receive an intensive rehabilitation therapy program throughout their IRF stay, which would tend to require patients to be out-of-bed and active throughout their stay.

    Comment: Some commenters expressed concern over the ambiguity of the definition of ``worsening'' pressure ulcers and requested clarification of the definition. Some commenters cited the difficulty in accurately differentiating between worsening pressure ulcers and pressure ulcers that are changing as part of the healing process.

    Several commenters suggested that ``worsening'' be removed from the description and CMS base the quality measure solely on the appearance of ``new'' pressure ulcers. Some commenters questioned why unstageable pressure ulcers and suspected deep tissue injuries were not included in the measure.

    Response: The new or worsening pressure ulcer measure is based on changes in skin integrity between the admission and discharge assessments. Pressure ulcer ``worsening'' is defined in the measure specifications as a pressure ulcer that has progressed to a deeper level of tissue damage and is therefore staged at a higher number using a numerical scale of 1 through 4 (using the staging assessment determinations assigned to each stage; starting at the stage 1, and increasing in severity to stage 4) on the discharge assessment as compared to the admission assessment.

    The National Pressure Ulcer Advisory Panel (NPUAP) has specific, well-established clinical criteria for determining the current stage of a wound (stages I through IV). These criteria, which are incorporated into the measure specifications, are used by clinicians in determining whether or not a wound has changed stages, and thereby worsened or improved. We believe that appropriate application of these guidelines should enable clinicians to identify pressure ulcers that have

    ``worsened''. Thus, we do not believe that the idea of ``worsening'' pressure ulcers should be removed from the measure.

    Unstageable wounds, including deep tissue injuries, are not currently included in this measure since the presence of worsening cannot be determined if they are unstageable. Furthermore, a pressure ulcer that presents with slough or eschar cannot be staged, and is not considered worsened. Only after, and if, debridement occurs, whereby dead tissue is removed, can the wound be staged. If after wound debridement, the wound is evaluated to have increased in the stage, the wound is considered worsened.

    If the patient was admitted with a deep tissue injury, and/or an unstageable pressure ulcer, the deep tissue injury and/or unstageable pressure ulcer would be documented as present on admission. As stated above, if after debridement the wound is evaluated to have increased in the stage, the wound is considered worsened but is considered to have been present on admission.

    Although the presence of new pressure ulcers is an indicator of adverse quality in IRFs, we believe that the presence of worsening pressure ulcers is also an important aspect of the measure because worsening pressure ulcers can indicate a lack of both appropriate medical monitoring and appropriate clinical treatment. In addition, as noted previously, the existence of worsening pressure ulcers in the IRF setting is particularly troubling given the requirement that IRF patients receive an intensive rehabilitation therapy program throughout their IRF stay, which would tend to require patients to be out-of-bed and active throughout their stay. Thus, we believe that it is imperative to include both new and worsening pressure ulcers in the measure.

    Comment: Several commenters expressed concern that the proposed measure does not adequately address the issue of pressure ulcers that are present on admission. These commenters recommended that CMS develop a timeline and implementation plan for a POA indicator for the pressure ulcer measure, with consideration of an appropriate attribution window to avoid IRFs being penalized for pressure ulcers that were present on admission or acquired from another facility prior to the IRF admission.

    Response: The measure that we are adopting in this final rule is the Percent of Patients with Pressure Ulcers that are New or Worsening between the IRF admission assessment and the discharge assessment. The measure accounts for any relevant pressure ulcers that were present on admission because it requires IRFs to supply data on the number of stage 2, stage 3, and stage 4 pressure ulcers that were present on admission. In addition, the measure asks IRFs to report any pressure ulcers that were present on admission. Thus, we believe that the pressure ulcer measure that we are adopting in this final rule already contains sufficient present on admission information and will not lead to inappropriate attribution to an IRF of a pressure ulcer that developed in another inpatient setting.

    Comment: One commenter suggested that CMS harmonize the IRF and the inpatient prospective payment system (IPPS) versions of the pressure ulcer measures so that both capture the same range of wound staging.

    While the IRF quality reporting program measure includes wound stages 2 though 4, the Hospital IQR Program measure only includes stages 3 through 4.

    Response: We agree that harmonizing the measures is a good suggestion. This will take significant development work as the data elements, data sources, and measure specifications differ for the IRF and IPPS quality reporting programs. We will take the commenter's suggestions into consideration for future quality measurement development work, which will be considered for implementation through future rulemaking.

    Comment: One commenter suggested that the Pressure Ulcer Scale for

    Healing Tool (PUSH) tool, which provides clinicians with a scale for assessing wound healing or deterioration, is more appropriate for recording wounds. Another commenter said that they do not recommend the

    PUSH tool, but recognized its superiority to the proposed measure in that it allows addressing of wound healing in a standardized manner.

    This commenter also stated that if measurement of pressure ulcers is a quality measure, that the measure used should incorporate the NPUAP guidelines regarding wound healing.

    Response: We recognize that the PUSH tool is one of the instruments sometimes used by clinicians to assess healing or deterioration of pressure ulcers. However, CMS developed the New or Worsening Pressure

    Ulcer measure in consultation with our measure-developer contractor, which further consulted with NPUAP and

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    other nationally recognized subject matter experts. Based on the input we received from these experts, we believe that the pressure ulcer measure that we are requiring IRFs to report beginning October 1, 2012 most appropriately captures this aspect of care provided in IRFs. In response to the commenter that suggested that any measure of pressure ulcers that is used in the IRF setting should be incorporate the NPUAP guidelines regarding wound staging, we note that the ``New or Worsening

    Pressure Ulcer'' measure that we are adopting in this final rule does incorporate the NPUAP guidelines regarding wound staging.

    Comment: Several commenters objected to the proposed application of a pressure ulcer measure that has been NQF-endorsed for short-stay residents in nursing homes but has not specifically been endorsed for the IRF setting.

    Response: We are using the authority to adopt non-NQF endorsed measures in cases where there is not an NQF-endorsed measure for a particular area or topic. We do not believe that there are substantive issues that would make it inappropriate to apply the pressure ulcer measure that has been NQF-endorsed for short-stay nursing home residents to IRFs.

    Comment: One commenter suggested that CMS include stage 1 wounds in the pressure ulcer measure. They stated that, if stage 1 wounds are not adequately treated, they will progress to more serious wounds.

    Response: We agree with the commenter about the importance of clinicians recognizing the presence of stage 1 wounds and adequately treating them so that they do not progress to more serious wounds.

    However, based on the CMS contractor's extensive analysis of the issue, in consultation with national subject matter experts, we believe that the additional burden on providers of collecting and reporting information on stage 1 pressure ulcers outweighs the benefits of requiring such reporting. Thus, in an effort to minimize the reporting burden on providers, we have decided not to require reporting on stage 1 pressure ulcers.

    Comment: Some commenters stated that patients treated in IRFs have a higher level of medical complexity and receive more intense services than nursing home patients, highlighting the need for CMS to risk adjust the pressure ulcer measure.

    Response: We agree that some patients are at higher risk for pressure ulcers than others. The pressure ulcer measure (NQF 0678, formerly assigned as NQF NH-012-10) that we are adopting for the IRF setting already includes a risk adjustment component. For example, the measure accounts for the higher risk of pressure ulcers among patients with low body mass index (BMI), diabetes, Peripheral Vascular Disease, bowel incontinence, and immobility. These clinical factors are known to increase the risk of pressure ulcer development for patients regardless of their setting of care.

    Comment: Several commenters expressed support of CMS' adoption of the NPUAP stance that measurement of pressure ulcers not be based on

    ``reverse staging''.

    Response: We appreciate the commenters for their supportive comments and agree that it is not appropriate to ``reverse-stage'' pressure ulcers because staging only refers to the level of tissue damage. So, for example, a stage 3 pressure ulcer with full thickness tissue loss will always have that amount of damage present. If that pressure ulcer should heal and resurface with a new epithelial layer and later reopen, it is still a stage 3 pressure ulcer, even if it appears to meet the criteria for a stage 2 pressure ulcer.

    Final Decision: Having carefully considered the comments, we adopt as final an application of the CMS-developed NQF-endorsed measure for short-stay nursing home patients (NQF 0678, formerly assigned as NQF NH-012-10) for the IRF setting. 5. Potential FY 2014 Measure 3: 30-Day Comprehensive All-Cause

    Risk-Standardized Readmission Measure

    In the proposed rule, we stated our intent to propose a 30-day comprehensive all-cause risk-standardized readmission measure when one is developed. Addressing avoidable hospital readmissions is a high priority for HHS and CMS. We are currently developing setting-specific risk adjusted 30-day all-condition all-cause risk-standardized readmission measures for hospitals, IRFs, long term care hospitals and nursing homes.

    The main features of the measure methodology will be consistent with that of the NQF-endorsed CMS hospital risk-adjusted 30-day readmission measures for the Acute Myocardial Infarction (AMI), Heart

    Failure (HF), Pneumonia and Percutaneous Coronary Intervention (PCI).

    We plan to cover the maximum number of patient conditions possible in the all-condition measures. We will consult existing literature and solicit input from national experts and conduct analyses on the types and comorbidities of the patients of each setting in order to establish appropriate risk-adjustment for the measures as well as appropriate specification of the meaning/definition of readmission and the appropriate time-window for readmission for each care setting. To expand beyond the condition-specific measures to an all-condition readmission measure for each setting, we will conduct analyses to determine whether it is statistically and clinically sound to derive the all-condition measures from one single risk adjustment model, or if it would be better to form a composite of multiple models for multiple conditions. We plan to use hierarchical logistic regression modeling to take into account the effects of the clustering of patients and the sample size in the IRF setting. The IRF readmission measure is expected to be completed in late 2011, at which time it will be submitted to the entity with a contract under section 1890(a) of the Act for endorsement.

    We received 19 comments on our intent to propose a 30-day

    Comprehensive All-Cause Risk-Standardized Readmission Measure for IRFs, which are summarized below.

    Comment: Several commenters stated that risk adjustment will be an important consideration as CMS develops this readmission measure.

    Several commenters suggested that only preventable readmissions should be measured, and that planned readmissions should be excluded. Several commenters also stated that the causes of readmissions are complex and that there are no solutions that could be applied globally to reduce readmissions.

    Response: We appreciate the input. As indicated, the measure will be risk-standardized. We will take these comments into consideration as we further develop the measure. As part of development, the measure developer will provide an opportunity to the public to comment on specific aspects of the measure, including risk adjustment. Although we agree that the factors that are related to readmission are varied, readmission rates among Medicare beneficiaries are high, and we believe that they can be significantly improved through improved quality.

  56. Data Submission Requirements 1. Method of Data Submission for HAI Measure (CAUTI)

    In the proposed rule, we proposed to require that IRFs submit data on the Catheter-Associated Urinary Tract Infection (CAUTI) measure through the Centers for Disease Control (CDC)/National Healthcare

    Safety Network (NHSN). As we noted above, the NHSN is a secure,

    Internet-based surveillance system maintained by the CDC that can

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    be utilized by all types of healthcare facilities in the United States, including acute care hospitals, long term acute care hospitals, psychiatric hospitals, rehabilitation hospitals, outpatient dialysis centers, ambulatory surgery centers, and long term care facilities. The

    NHSN enables healthcare facilities to collect and use data about HAIs, including information on clinical practices known to prevent HAIs, information on the incidence or prevalence of multidrug-resistant organisms within their organizations, and information on other adverse events. Some States use the NHSN as a means of collecting State law mandated HAI reporting. NHSN collects data via a Web-based tool hosted by the CDC (http://www.cdc.gov/). This reporting service is provided free of charge to healthcare facilities. Additionally, the ability of the CDC to receive NHSN measures data from electronic health records

    (EHR) may be possible in the near future. Currently, more than 20

    States require hospitals to report HAIs using NHSN, and the CDC supports more 4,000 hospitals that are using the NHSN.

    We also proposed to require submission of the data elements needed to calculate the Catheter-Associated Urinary Tract Infection measure using the NHSN's standard data submission requirements. The NHSN requires submission of data on HAI events on all patients. Collecting data on all patients will provide CMS with the most robust, accurate reflection of the quality of care delivered to Medicare beneficiaries as compared with non-Medicare patients. Therefore, to measure the quality of care that is delivered to Medicare beneficiaries in the IRF setting, we proposed to collect quality data related to HAI events on all patients regardless of payor.

    CDC/NHSN requirements may include adherence to training requirements, use of CDC measure specifications, data element definitions, data submission requirements and instructions, data reporting timeframes, as well as NHSN participation forms and indications to CDC allowing CMS to access data for this measure for the

    IRF quality reporting program purposes. Detailed requirements for NHSN participation, measure specifications, and data collection can be found at http://www.cdc.gov/nhsn/. We proposed to require IRFs to use the specifications and data collection tools for the CAUTI measure as required by CDC as of the time that the data is submitted.

    For purposes of calculating the FY 2014 increase factor we proposed to collect data on CAUTI events that occur from October 1, 2012 through

    December 31, 2012, which we inadvertently misidentified as the ``final fiscal quarter of calendar year 2013.'' We should have identified it as the final quarter of calendar year (CY) 2012. We proposed that all subsequent IRF quality reporting cycles would be based on a full CY cycle (that is January 1 through December 31 of the applicable year).

    For example, the FY 2015 payment determinations will be made based on

    CY 2013 data submitted to CDC.

    We stated that further details regarding data submission and reporting requirements for this measure would be posted on the CMS Web site http://www.cms.gov/LTCH-IRF-Hospice-Quality-Reporting/ no later than January 31, 2012. IRFs were also encouraged to visit the CDC Web site http://www.cdc.gov/nhsn/ to review the NHSN enrollment and reporting requirements.

    We received 21 comments on the proposed submission requirements for the CAUTI measure, which are summarized below.

    Comment: Several commenters expressed concerns about the readiness of the CDC's NHSN infrastructure to accept a greater volume of data by adding IRF reporters.

    Response: As reported to us by CDC, the NHSN has undergone a major architectural redesign over the last year in response to the need to scale up to more users, facilities and functionality. It is our understanding that the addition of IRF quality reporting on the NHSN will not unduly strain the system.

    Comment: Several commenters expressed concerns with provider burden and resources needed to enroll, train and implement data reporting through the CDC's NHSN. One commenter suggested CMS should move to a single standardized and streamlined quality reporting system and added that training on multiple quality reporting systems would be confusing and time consuming. Another commenter suggested that the IRF-PAI could be modified to collect CAUTI data.

    Response: We recognize that there are initial start-up costs and time investments to enroll and complete the required training for reporting through CDC's NHSN. We have factored these costs into the provider burden estimates that we provided in both the FY 2012 IRF PPS proposed rule and in this final rule. We believe that safety benefits will result from this new quality reporting requirement such as the ability to track serious, and at times, life threatening infections like CAUTI. As such, the benefits outweigh the costs. In addition, these costs are primarily incurred during the initial phase of the data reporting, and will be lower in subsequent years. For future rulemaking cycles, we will take into consideration the suggestion that CMS should move to a single standardized and streamlined quality reporting system and potentially consider collecting CAUTI data through an additional modification to the IRF-PAI.

    Final Decision: Having carefully considered the comments received on the method of data submission for the measure, we finalize our proposals to require that IRFs submit data on the measure through the

    Centers for Disease Control (CDC)/National Healthcare Safety Network

    (NHSN); to require submission of the data elements needed to calculate the measure using the NHSN's standard data submission requirements; to collect quality data related to HAI events on all patients regardless of payor; and to require IRFs to use the specifications and data collection tools for the measure as required by CDC as of the time that the data is submitted. Data collection for the FY 2014 program will pertain to CAUTI events that occur from October 1, 2012 through

    December 31, 2012 (the last quarter of CY 2012). All subsequent IRF quality reporting cycles will be based on a full calendar year (CY) cycle (that is January 1 through December 31 of the applicable year).

    Further details regarding data submission and reporting requirements for this measure will be posted on the CMS Web site http://www.cms.gov/LTCH-IRF-Hospice-Quality-Reporting/ no later than January 31, 2012. 2. Method of Data Submission for the Percent of Patients With New or

    Worsened Pressure Ulcer Measure

    We seek to implement the IRF Quality Reporting Program in a manner that imposes as little burden as possible. IRFs already are required to submit certain data for purposes of determining payment via the current

    Inpatient Rehabilitation Facility-Patient Assessment Instrument (IRF-

    PAI). Previously the IRF-PAI included optional ``quality indicators''

    (QI). To support the standardized collection and calculation of quality measures specifically focused on IRF services, we proposed to modify the IRF-PAI by replacing the optional pressure ulcer items in the previous QI section of the IRF-PAI with mandatory pressure ulcer data elements.

    We proposed that IRFs would be required to submit the data needed to calculate the measure ``Percent of Patients with New or Worsened

    Pressure Ulcers'' on all Medicare patients. Therefore, to measure the

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    quality of care that is delivered to Medicare beneficiaries in the IRF setting, we proposed to collect quality data related to new or worsening pressure ulcers on all Medicare patients.

    We proposed to use the IRF-PAI to collect pressure ulcer data elements that would be similar to those collected through the Minimum

    Data Set 3.0 (MDS 3.0), which is a reporting instrument that is used in nursing homes. A draft of the proposed IRF-PAI revisions with the new pressure ulcer elements that we are submitting to OMB for approval is available on the CMS Web site at http://www.cms.gov/InpatientRehabFacPPS/04_IRFPAI.asp#TopOfPage. The current MDS 3.0 pressure ulcer items evolved as an outgrowth of CMS' work to develop a set of standardized patient assessment items, now referred to as CARE

    (Continuity Assessment Record & Evaluation).

    The CARE assessment items were developed and tested in the post- acute care payment reform demonstration (PAC-PRD) which included IRFs as required by section 5008 of the 2005 Deficit Reduction Act (DRA)

    (Pub. L. 109-171, enacted February 8, 2006) (more information may be found at http://www.pacdemo.rti.org). We note that the proposed data elements are supported by the NPUAP. We believe that modifying the current IRF-PAI pressure ulcer items to be consistent with the standardized data elements now used in the MDS 3.0, will drive uniformity across settings that will lead to better quality of care in

    IRFs and ultimately, across the continuum of care settings. Additional details regarding the use of modified IRF-PAI data elements to calculate this measure will be published on the CMS Web site at http://www.cms.gov/LTCH-IRF-Hospice-Quality-Reporting/by no later than January 31, 2012.

    We received 23 comments on the data collection and reporting of new and worsening pressure ulcers for the IRF quality reporting program, which are summarized below.

    Comment: One commenter expressed a preference for a claims-based pressure ulcer measure, citing inter-rater reliability concerns with clinicians assessing pressure ulcers at admission and at discharge.

    Another commenter recommended inclusion of a body diagram to record the location of pressure ulcers. Another commenter expressed concern that the data collection mechanism allows for a count of multiple pressure ulcers and specific stages, but not the sizes of multiple pressure ulcers at the same stage.

    Response: Although one of the commenters suggested that we consider collecting data on the pressure ulcer measure on the claims form instead of the IRF-PAI, we do not currently collect this type of patient assessment data on the claim form, nor do we have a mechanism for collecting such data through the IRF claims. Furthermore, even if the data were to be collected through the IRF claim, it would still need to be based on a clinician's assessment of the patient at admission and at discharge from the IRF. Since we currently use the

    IRF-PAI to collect other sorts of patient assessment data, we believe that this is the most appropriate vehicle for collecting data for the pressure ulcer measure.

    We agree that it is good clinical practice to record the location of pressure ulcers in the medical record. However, this is not part of the measure specifications because we do not believe that reporting the location of pressure ulcers to CMS will enhance the usefulness of the

    New or Worsening Pressure Ulcer quality measure for measuring quality in IRFs. We believe, after extensive consultation with national subject matter experts on wound healing, that recording the overall number of new pressure ulcers and presence (or lack thereof) of worsening pressure ulcers, provides an adequate indication of the quality of care provided in IRFs with regard to skin integrity management and wound healing.

    Comment: Several commenters commended CMS on modifications to the

    IRF-PAI to include pressure ulcer elements that are consistent with the

    MDS 3.0. They noted that the elements offer clear ulcer staging definitions consistent with NPUAP and the Wound Ostomy and Continence

    Nurses Society (WOCN).

    Response: We thank the commenters for their positive comments with respect to the IRF-PAI modifications.

    Comment: Several commenters suggested that any plans to incorporate elements from Continuity Assessment Record and Evaluation (CARE), which was developed for and used in the Post-Acute Care Payment Reform

    Demonstration, be delayed until the demonstration findings have been reported to Congress and the public has had an opportunity to comment on CARE.

    Response: We did not propose to use the CARE instrument to collect this data. The Pressure Ulcer Measure we are adopting, as noted previously, is based on a similar measure generated from data collected through the current MDS 3.0 instrument. This measure is NQF-endorsed for short-stay nursing home residents. We proposed to amend the IRF PAI to replace the prior quality indicator (QI) elements with the data elements needed to generate the pressure ulcer measure. The IRF-PAI that has been submitted to OMB for approval can be downloaded from the

    IRF PPS Web site at http://www.cms.gov/InpatientRehabFacPPS/04_IRFPAI.asp#TopOfPage.

    We concluded the PAC-PRD, and data collection using CARE, in

    December 2010. We plan to submit our Report to Congress by the close of 2011. As we are not proposing the use of CARE at this time, we do not believe there is a need to defer the start of the new IRF quality reporting program pending delivery of the CARE report.

    Final Decision: Having carefully considered the comments, we finalize our proposal to require IRFs to submit the data needed to calculate the measure ``Percent of Patients with New or Worsened

    Pressure Ulcers'' on all Medicare patients to CMS through the modified

    IRF PAI for all Medicare beneficiaries treated in the IRF setting.

    Additional details regarding the use of modified IRF-PAI data elements to calculate this measure are currently available on the CMS Web site at http://www.cms.gov/InpatientRehabFacPPS/04_IRFPAI.asp#TopOfPage. We will publish the electronic specifications related to reporting the pressure ulcer measure on the CMS Web site http://www.cms.gov/LTCH-IRF-Hospice-Quality-Reporting/ no later than January 31, 2012. 3. Potential Method of Data Submission for the 30-Day Comprehensive

    All-Cause Risk-Standardized Readmission Measure

    If we adopt a 30-day comprehensive all-cause risk-standardized readmission measure for the IRF quality reporting program, we anticipate being able to use claims data otherwise submitted by the IRF to construct it. We generally anticipate constructing the measure using 3 years of claims data so that the measure rate captures a sufficient number of discharges.

  57. Public Reporting

    Under section 1886(j)(7)(E)of the Act, the Secretary is required to establish procedures for making data submitted by IRFs under the IRF quality reporting program available to the public. In accordance with this provision, we proposed to establish procedures to make the data available to the public. As noted in the proposed rule, we do not intend to make individual patient-level

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    data public. We believe that existing laws governing access to agency records will adequately address requests for such data. We will adopt procedures that will ensure that an IRF has the opportunity to review the data to be made public prior to the data being made public.

    Additionally, as required under section 1886(j)(7)(E) of the Act, we will report quality measures that relate to services furnished in IRFs on CMS' Web site.

    We received 3 comments on public reporting, which are summarized below.

    Comment: One commenter supported CMS' proposal to allow IRFs to preview data and measures prior to any information being posted on a

    Web site. One commenter suggested that CMS provide IRFs with a 30-day preview period prior to publicly posting the data submitted by IRFs under the quality reporting program and that CMS engage in ``user testing'' procedures before posting the information.

    Response: We agree with the commenters that it is important to allow IRFs to preview data and measures prior to any information being publicly displayed. We will adopt procedures that will ensure that an

    IRF has the opportunity to review the data to be made public prior to the data being made public. Additionally, as required under section 1886(j)(7)(E) of the Act, we will report quality measures that relate to services furnished in IRFs on a CMS Web site. We will take the commenter's suggestions regarding ``user testing'' into consideration as we develop procedures to publicly report IRF quality data.

    Comment: One commenter urged CMS to delay public reporting of the

    IRF quality data until the second year of reporting to avoid that potential that inaccurate data would be posted based on unintended analytical issues.

    Response: We have not at this time proposed a specific date to begin publicly reporting IRF quality data. We will take the commenter's suggestions into account as we develop our plans for future public reporting.

  58. Quality Measures for Future Consideration for Determination of

    Increase Factors for Future Fiscal Year Payments

    As indicated previously in this section, we ultimately seek to adopt a comprehensive set of quality measures to be available for widespread use for informed decision making and quality improvement.

    While we are initially adopting a limited set of measures for the IRF quality reporting program, we expect to expand the measure set through rulemaking which will allow us, for example, to assess an IRF patient's functional status and whether he/she has achieved his or her rehabilitation goals and potential.

    We intend to propose a more robust set of measures for the IRF quality reporting program in the FY 2013 rulemaking cycle for the determination of the FY 2015 payment increase factor. We are considering the measures listed in Table 13 which include, but are not limited to, measure topics reported by skilled nursing facilities

    (SNFs) for short stay nursing home patients.

    Some quality data on short stay nursing home patients in skilled nursing facilities (SNFs) are collected via the MDS 3.0 data collection vehicle. We are currently analyzing these quality data, and expect to have findings by early 2012. Next steps would include analyzing whether any of these measures would be appropriate for application in the IRF setting.

    If any of the short stay nursing home measures are appropriate for application to the IRF setting we intend to propose some or all of these measures in the FY 2013 rulemaking cycle. Any measures that we proposed to adopt in through the FY 2013 rulemaking cycle would apply to the payment determination for FY 2015. We expect that any measures proposed in the FY 2013 rulemaking cycle would be collected via the

    IRF-PAI, and that further changes to this data collection vehicle and the supporting information technology (IT) infrastructure would be necessary. We expect that it would take providers, vendors, and CMS approximately one year to make the necessary changes to their IT systems to support the collection and reporting of new or modified IRF-

    PAI data elements. We would expect providers, vendors, and CMS to complete any needed changes to their IT systems by August 2013. We intend to propose that IRFs submit any additional or revised IRF-PAI data elements starting October 1, 2013 through December 31, 2013 for the FY 2015 payment update, but we are considering the possibility of basing future quality measures on data sources or assessment instruments other than the IRF-PAI. As stated earlier, we developed and tested the CARE assessment instrument for the post-acute demonstration under section 5008 of the DRA. We intend to submit a report to Congress by the end of 2011 with findings from the 3-year PAC-PRD and its use of the CARE patient assessment instrument as a data collection vehicle.

    More details on the PAC-PRD which concluded in late 2010 are available at http://www.pacdemo.rti.org. We believe that the data elements that were collected using this CARE standardized assessment instrument could be used across all post-acute care sites to measure functional status and other factors during treatment and at discharge which are key indicators of quality in IRFs and in nursing homes treating short stay patients requiring rehabilitative services. We believe the instrument could be beneficial in supporting the submission of data on quality measures by IRFs and other care settings by using a standardized data collection instrument

    During the NQF endorsement process for nursing home quality measures, conducted through the NQF's 2010 measures maintenance cycle, the NQF steering committee pointed to the need for CMS to consider pairing pain measures with a measure or measures that reflect patients' preferences for how their care, treatment and symptoms are managed by healthcare providers. These items, and other items in Table 13, are under consideration for future years.

    Table 13--Possible Future Measures and Topics for the IRF Quality

    Reporting Program

    Overarching Goal: Safety and Healthcare Acquired Conditions: Avoidable

    Adverse Events and Serious Reportable Events *

    Unplanned acute care hospitalizations.

    Falls with major injury.* **

    Falls with major injury per 1,000 days.

    Incidence of venous thromboembolism (VTE), potentially preventable.*

    Poly-pharmacy related injury.

    Medication errors.*

    Stage III and IV pressure ulcers.**

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    Overarching Goal: Safety and Prevention

    VTE Prophylaxis.

    Patient Immunization for Influenza.

    Patient Immunization for Pneumonia.

    Staff Immunization.

    Overarching Goal: Safety and Healthcare Acquired Conditions--HAIs

    Surgical site infections.

    Multidrug resistant organism infection.

    Overarching Goal: Better, Person Centered-Care: Care Coordination/Care

    Outcome

    Functional Change: Change in Motor Score.

    Change in Cognitive Function: Change in Cognitive Score.

    Communication.

    Percent of patients whose individually stated goals were met.

    Care Transitions Measure-3 (CTM-3).

    Discharge Outcome/Discharge disposition:

    --Home.

    --Assisted Living.

    --Nursing Home.

    --LTCH.

    --Hospital.

    --Hospice.

    Patient Preferences for care, treatment and management of symptoms by healthcare providers.

    Overarching Goal: Better, Person Centered-Care: Symptom Management

    Percent of patients on a scheduled pain management regime on admission who report a decrease in pain intensity or frequency.

    Percent of patients with pain assessment conducted and documented prior to therapy.

    Percent of patients who self-report moderate to severe pain.

    Percent of patients with dyspnea improved within one day of assessment.

    Overarching Goal: Better, Person Centered-Care: Experience of Care

    Patient Survey, for example, Hospital Consumer Assessment of

    Healthcare Providers & Systems.

    Percent of patients for whom care delivered was consistent with patient stated care preferences.

    * Consistent with NQF Serious Reportable Events.

    ** Consistent with Healthcare Acquired Conditions (HAC) Prevalence

    Measure.

    We received 8 comments on CMS' potential future use of the CARE assessment instrument to collect quality reporting data, which are summarized below.

    Comment: Several commenters said that they recognized the value of standardizing assessment data across settings. However, they expressed concerns about CMS' potential future use of CARE as a data collection vehicle in IRFs. These commenters questioned CARE's ability to accurately document medical severity, functional status and other factors related to quality outcomes. In addition, several commenters suggested the need for additional testing of CARE items in IRFs should

    CMS elect to use CARE.

    Response: CARE was developed in response to the Deficit Reduction

    Act of 2005 which directed CMS to develop a standardized assessment and test it in a demonstration for the purposes of ``costs and outcomes across different post-acute care sites.'' CARE was used in the PAC-PRD to collect over 7,000 assessments in IRFs (as well as long-term care hospitals, nursing homes, home health agencies and acute-care hospitals at discharge) across the country. Items were tested for reliability using two methods--a traditional inter-rater reliability test where 2 clinicians of the same discipline scored the same patient, and a test of reliability examining differences among disciplines in rating the same case. Overall, the vast majority of items had ``good'' to ``very good'' agreement. We will deliver our Report to Congress with findings by the close of 2011.

    We received 16 comments on possible Future Measures and Topics for the IRF Quality Reporting Program, which are summarized below.

    Comment: The majority of the commenters were supportive of the listed possible future quality measures. Many applauded consideration of measures for functional status, discharge to community, falls with major injuries, incidence of venous thromboembolism (VTE), patient preferences and symptom management. The MedPAC expressed support for the development of a limited number of quality measures in the IRF sector that would focus on outcomes measures when possible and patient safety and experience where applicable. Moreover, MedPAC expressed support for CMS developing and including a hospital readmission measure into the IRF quality reporting program, and encouraged CMS to add a measure of functional improvement given its centrality to IRF care.

    Response: We thank the commenters for their input. We appreciate

    MedPAC's support of our efforts to develop a quality reporting program for IRFs that focuses on outcome measures and patient safety. We will take all comments into consideration for future expansion of the IRF quality reporting program.

    Final Decision: After carefully considering the comments we received on the new IRF quality reporting program, we are finalizing the new IRF quality reporting program for the first reporting year, as proposed. In addition, we are submitting the revised IRF-PAI,

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    which can be downloaded from the IRF PPS Web site at http://www.cms.gov/InpatientRehabFacPPS/04_IRFPAI.asp#TopOfPage, to OMB for approval.

    We are also re-designating the existing paragraph Sec. 412.624(c)(4) as Sec. 412.624(c)(5) and adding a new paragraph Sec. 412.624(c)(4). The specific changes to the regulations at part 412 are shown in the ``Regulation Text'' of this final rule.

    XI. Miscellaneous Comments

    Comment: Several commenters requested that CMS use the most recent 3 years of data to review and update the list of comorbidities used to determine the tier payments to ensure that the tier list reflects all conditions that contribute significantly to IRF costs of care. Along these same lines, one commenter suggested that additional tier comorbidity codes might be appropriate for the list if CMS were to require IRFs to provide ``present on admission'' information to verify that the condition had been present on admission and did not occur during the IRF stay.

    Response: We appreciate the commenters' suggestions, and will consider these suggestions for future analyses.

    Comment: Several commenters requested that CMS provide more data to allow stakeholders to replicate our analyses. Specifically, one commenter requested that CMS amend the MedPAR file to include information on a patient's CMG classification, and provide stakeholders with patient-level IRF-PAI data.

    Response: We agree that the public should have access to whatever is necessary to review and comment on our proposed policies and evaluate the impacts of these policies. Some commenters have expressed a belief that the MedPAR files could inform their review of our proposals if it included CMGs. While we are unsure how this information would assist commenters, our policy is to supply whatever data is requested if such disclosure is legally permitted. We are therefore working towards including CMG information on the MedPAR, to the extent that such information will not make the MedPAR a patient-identifiable data file. The commenters also requested that we provide public access to patient-identifiable data, such as the IRF-PAI. We are restricted in our ability to release patient-level data under several privacy and security laws, such as the Privacy Act and the Health Insurance

    Portability and Accountability Act of 1996 (HIPAA) and the implementing regulations. For example, the HIPAA Privacy Rule provides that we may only disclose the minimum data necessary to accomplish the purpose of the disclosure (45 CFR 164.502(b)). We did not use IRF-PAI data in our analysis for the FY 2012 IRF PPS proposed and final rules. As such, these data are not relevant to the ability of commenters to review or comment on our proposals. We would violate HIPAA's minimum necessary requirements if we were to release these data for purposes of reviewing and responding to these rules. If identifiable data is used in future rulemaking, we will make data available in accordance with applicable law. Further, if commenters wish to request identifiable data for purposes outside the IRF PPS rulemaking process, we encourage them to use CMS' normal data request process. More information on CMS' data distribution policies is available on CMS's Web site at http://www.cms.gov/IdentifiableDataFiles/.

    Comment: One commenter suggested that CMS revise the IRF coverage requirements that are described in chapter 1, section 110 of the

    Medicare Benefit Policy Manual (Pub. L. 100-02) to allow recreational therapy services to count, on a limited basis, towards the intensive rehabilitation therapy requirement in IRFs and also to state that recreational therapy is a covered service in IRFs when the medical necessity is well-documented by the rehabilitation physician in the medical record and is ordered by the rehabilitation physician as part of the overall plan of care for the patient.

    Response: As we did not propose any changes to the IRF coverage requirements in Sec. 412.622(a)(3), (4), and (5) that would affect any of the requirements described in chapter 1, section 110 of the Medicare

    Benefit Policy Manual (Pub. L. 100-02), this comment is outside the scope of the proposed rule. However, as we have indicated before, we do not believe that recreational therapy services should replace the provision of the 4 core skilled therapy services (physical therapy, occupational therapy, speech-language pathology, and prosthetics/ orthotics). Thus, we believe it should be left to each individual IRF to determine whether offering recreational therapy is the best way to achieve the desired patient care outcomes. As we have stated previously, recreational therapy is a covered service in IRFs when the medical necessity is well-documented by the rehabilitation physician in the medical record and is ordered by the rehabilitation physician as part of the overall plan of care for the patient.

    XII. Provisions of the Final Regulations

    In this final rule, we are adopting the provisions as set forth in the FY 2012 IRF PPS proposed rule (76 FR 24214), except as noted elsewhere in the preamble. Specifically:

  59. Payment Provision Changes

    We will update the FY 2012 IRF PPS relative weights and average length of stay values using the most current and complete

    Medicare claims and cost report data in a budget neutral manner, as discussed in section IV. of this final rule.

    We will hold the FY 2012 IRF facility-level adjustments

    (rural, LIP, and teaching status adjustments) at FY 2011 levels while we conduct further research on the underlying reasons for the fluctuations in the data, as discussed in section V. of this final rule.

    We will implement a temporary cap adjustment policy for the teaching status adjustment to reflect interns and residents displaced due to closure of IRFs or IRF residency training programs, as discussed in section V. of this final rule.

    We will update the FY 2012 IRF PPS payment rates by the market basket increase factor, based upon the most current data available, with a 0.1 percentage point reduction as required by sections 1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(ii) of the Act and a productivity adjustment required by section 1886(j)(3)(C)(ii)(I) of the

    Act, as described in section VI. of this final rule.

    We will update the wage index and the labor-related share of the FY 2012 IRF PPS payment rates in a budget neutral manner, as discussed in section VI. of this final rule.

    We will calculate the final IRF Standard Payment

    Conversion Factor for FY 2012, as discussed in section VI. of this final rule.

    We will update the outlier threshold amount for FY 2012, as discussed in section VII. of this final rule.

    We will update the cost-to-charge ratio (CCR) ceiling and urban/rural average CCRs for FY 2012, as discussed in section VII. of this final rule.

    We will discuss the impact of the IPPS data matching process changes on the IRF PPS calculation of the Supplemental Security

    Income (SSI) ratios used to compute the IRF LIP adjustment factor, as discussed in section VIII. of this final rule.

    We will implement the IRF quality reporting program provisions of section 1886(j)(7) of the Act, as discussed in section X. of this final rule.

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  60. Proposed Revisions to Existing Regulation Text

    In addition, we will revise the existing requirements at Sec. 412.25(b), Sec. 412.25(b)(1), Sec. 412.25(b)(2), and Sec. 412.25(b)(3) that apply to all units that are excluded from the IPPS, as described in section IX. of this final rule. To amend the regulatory reference to conform with these changes, we will also revise the existing requirements at Sec. 412.25(e)(2)(ii)(A), as described in section IX. of this final rule. With the exception of Sec. 412.25(e)(2)(ii)(A), the revisions affect both IRFs and IPFs.

    We will also relocate and revise the existing requirements at Sec. 412.23(b), Sec. 412.29, and Sec. 412.30 that describe the requirements for facilities to qualify to receive payment under the IRF

    PPS, as described in section IX. of this final rule.

    Finally, we will re-designate the existing paragraph Sec. 412.624(c)(4) as Sec. 412.624(c)(5) and add a new paragraph Sec. 412.624(c)(4) to implement the IRF quality reporting program, as described in section X of this final rule.

    XIII. Collection of Information Requirements

    Under the Paperwork Reduction Act of 1995, we are required to provide 60-day notice in the Federal Register and solicit public comment before a collection of information requirement is submitted to the OMB for review and approval. In order to fairly evaluate whether an information collection should be approved by OMB, section 3506(c)(2)(A) of the Paperwork Reduction Act of 1995 requires that we solicit comment on the following issues:

    The need for the information collection and its usefulness in carrying out the proper functions of our agency.

    The accuracy of our estimate of the information collection burden.

    The quality, utility, and clarity of the information to be collected.

    Recommendations to minimize the information collection burden on the affected public, including automated collection techniques.

    This final rule does not impose any new information collection requirements as outlined in the regulation text. However, this final rule does make reference to associated information collections that are not discussed in the regulation text contained in this document. The following is a discussion of these information collections, some of which have already received OMB approval.

    As stated in section X.B of this final rule, for purposes of calculating the FY 2014 IRF PPS increase factor, we require IRFs to submit data on 2 quality measures beginning October 1, 2012. These quality measures are: (1) Catheter Associated Urinary Tract Infections; and (2) Pressure Ulcers that are New or Have Worsened. The aforementioned measures will be collected via the following respective means.

  61. Catheter Associated Urinary Tract Infections (CAUTI)

    Regarding the collection of data on the first quality measure,

    Catheter Associated Urinary Tract Infections, we will require as the form and manner of submission for the measure, CAUTI rate per 1,000 urinary catheter days, to be through the Centers for Disease Control

    (CDC)/National Health Safety Network (NHSN). Data collection by the

    NHSN occurs via a Web-based tool hosted by the CDC. This reporting service is provided free of charge to healthcare facilities. In fact, some IRFs are already using the NHSN to collect and submit this data.

    With this final rule, we will impose an information collection requirement for the CAUTI measure. It should be noted that information collection activities associated with the CDC/NHSN are currently approved under OMB control number 0920-0666. Detailed requirements for

    NHSN participation, measure specifications, and data collection can be found at http://www.cdc.gov/nhsn/. IRFs must use the current specifications and data collection tools for Catheter Associated

    Urinary Tract Infections.

    While IRFs were not previously required to report data to NHSN, according to the CDC, there are 26 IRFs that already submit data to

    NHSN either voluntarily or per State mandate. To report data to NHSN, the CDC requires the facility to enroll into the NHSN and take specified training. According to the NHSN Web site, it will take 240 minutes (4 hours) to register and complete the necessary training provided by the CDC. The estimated annual burden associated with this requirement is 270,000 minutes/4,500 hours (240 minutes x 1,126 IRFs) at an estimated cost of $187,321. This cost is estimated using the average hourly wage of a Registered Nurse which is reported by the U.S.

    Bureau of Labor Statistics to be $41.59. Once each facility has been properly registered into NHSN and trained, they will need to submit two types of forms in order for CDC to calculate the CAUTI rate per 1,000 urinary catheter days. The first form, the Urinary Tract Infection

    (UTI) form, is submitted by facilities for each patient with a CAUTI.

    We estimate that it will take 15 minutes per form per IRF. This time estimate consists of 5 minutes of nursing time needed to collect the clinical data and 10 minutes of clerical time necessary to enter the data into NHSN. We further anticipate that there will be approximately 2.25 forms submitted per IRF per month. Based on this estimate, we expect for each IRF to expend 33.75 minutes (0.5625 hours) per month or 405 minutes (6.75 hours) per year reporting to NHSN. The estimated annual burden to all IRFs in the U.S. for reporting to NHSN is 7,776 hours. The estimated cost per IRF is $186.15 per year. Similarly, the estimated total yearly cost across all IRFs is $214,445. These costs are estimated using an hourly wage for a Registered Nurse of $41.59 and a Medical Billing Clerk/Data Entry person of $20.57 as stated by the

    U.S. Bureau of Labor Statistics. The second form, the denominator form, is used to count daily the number of patients with an indwelling catheter device. These daily counts are summed and only the total for each month is submitted to NHSN. While CDC estimates that the denominator form takes 5 hours per month to complete, we estimate that it will take 2.5 hours per form per IRF per month, as the number of patients with an indwelling catheter is the only part of this form that

    IRFs will be required to complete. We anticipate that there will be one form submitted per IRF per month. Based on this estimate, we expect for each IRF to expend 150 minutes (2.5 hours) per month and 1,800 minutes

    (30 hours) per year reporting to NHSN. The estimated annual burden to all IRFs in the U.S. for reporting to NHSN is 34,560 hours. The estimated cost per IRF is $1,247.70 per year. Similarly, the estimated total yearly cost across all IRFs is $1,437,350. These costs are estimated using an hourly wage for a Registered Nurse of $41.59.

  62. Pressure Ulcers That Are New or Have Worsened

    As stated in section X.C.2 of this final rule, to support the standardized collection and calculation of quality measures specifically focused on IRF services, we modified the IRF-PAI by replacing and harmonizing the pressure ulcer items with data elements similar to those collected through the MDS 3.0 used in nursing homes.

    Additionally, the MDS 3.0 pressure ulcer items have been harmonized with the CARE data set, which was developed for and broadly tested in the post-acute demonstration as required by section 5008 of the Deficit

    Reduction Act of 2005 (Pub. L. 109-171, enacted on February 8, 2006)

    (DRA). We believe the modified IRF-PAI pressure ulcer items are consistent with the standardized

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    data elements now used in the MDS 3.0, and supported by the NPUAP. They will provide better informed decision making and quality improvement in

    IRFs and ultimately, across the continuum of care settings.

    Since all IRFs are already required to complete and transmit IRF-

    PAIs on all Medicare Part A fee-for-service and Medicare Part C

    (Medicare Advantage) patients in order to receive payment from

    Medicare, and the number of IRFs submitting claims to Medicare has remained stable over the past several years, we do not estimate that there are any IRFs that would need to conduct additional training or set-up for completing and transmitting the IRF-PAI. Thus, we do not estimate any additional burden on IRFs for these activities. In addition, we do not estimate any additional burden for IRFs to complete the IRF-PAI with the mandatory quality measures, as the IRF-PAI currently contains a voluntary ``Quality Indicators'' section. We are replacing the voluntary data items with the proposed pressure ulcer question set. When the original burden estimates were completed for the

    IRF-PAI, we estimated that the ``Quality Indicators'' section of the

    IRF-PAI would take about 10 minutes to complete, and we assumed that all IRFs would complete the Quality Indicators items, even though completion of this section was voluntary. Thus, removing the Quality

    Indicators items from the IRF-PAI decreases the total estimated burden of completing each IRF-PAI by about 10 minutes. However, we estimate that it will take about 10 minutes to complete the new pressure ulcer item that we require IRFs to complete as part of the new IRF quality reporting program. Since the time to complete the items that we are removing from the IRF-PAI is the same as the time to complete the new items we added, we estimate no net change in the amount of time associated with completing each IRF-PAI and no net change in burden.

    We will be submitting a revision to the IRF-PAI information collection request currently approved under OMB control number 0938- 0842 for OMB review and approval.

    If you comment on these information collection and recordkeeping requirements, please do either of the following: 1. Submit your comments electronically as specified in the

    ADDRESSES section of this proposed rule; or 2. Submit your comments to the Office of Information and Regulatory

    Affairs, Office of Management and Budget, Attention: CMS Desk Officer,

    CMS-1349-F, Fax: (202) 395-6974; or E-mail: OIRA_submission@omb.eop.gov.

    XIV. Economic Analyses

  63. Regulatory Impact Analysis 1. Introduction

    We have examined the impacts of this final rule as required by

    Executive Order 12866 (September 30, 1993, Regulatory Planning and

    Review), Executive Order 13563 on Improving Regulation and Regulatory

    Review (January 18, 2011), the Regulatory Flexibility Act (September 19, 1980, Pub. L. 96-354) (RFA), section 1102(b) of the Act, section 202 of the Unfunded Mandates Reform Act of 1995 (Pub. L. 104-4),

    Executive Order 13132 on Federalism (August 4, 1999), and the

    Congressional Review Act (5 U.S.C. 804(2)).

    Executive Orders 12866 and 13563 direct agencies to assess all costs and benefits of available regulatory alternatives and, if regulation is necessary, to select regulatory approaches that maximize net benefits (including potential economic, environmental, public health and safety effects, distributive impacts, and equity). Executive

    Order 13563 emphasizes the importance of quantifying both costs and benefits, of reducing costs, of harmonizing rules, and of promoting flexibility. This final rule has been designated an ``economically'' significant rule, under section 3(f)(1) of Executive Order 12866.

    Accordingly, the rule has been reviewed by the OMB. 2. Statement of Need

    This final rule updates the IRF prospective payment rates for FY 2012 as required under section 1886(j)(3)(C) of the Act. It responds to

    Section 1886(j)(5) of the Act, which requires the Secretary to publish in the Federal Register on or before the August 1 that precedes the start of each fiscal year, the classification and weighting factors for the IRF PPS's case-mix groups and a description of the methodology and data used in computing the prospective payment rates for that fiscal year.

    This rule also implements some policy changes within the statutory discretion afforded to the Secretary under section 1886(j) of the Act.

    We believe that the policy changes will better align IRF PPS policies with those of other Medicare payment systems and will clarify the IRF payment regulations. Further, many of the policy changes are designed to promote greater flexibility in the IRF PPS policies.

    This final rule also implements section 3401(d) of the Affordable

    Care Act, which amended section 1886(j)(3)(C) of the Act and added section 1886(j)(3)(D) of the Act. Section 1886(j)(3)(C) of the Act requires the Secretary to apply a multi-factor productivity adjustment to the market basket increase factor, and to apply other adjustments as defined by the Act. The productivity adjustment applies to FYs from 2012 forward. The other adjustments apply to FYs 2010 through 2019.

    Finally, this final rule discusses the IRF quality measures that we are adopting for the first year of implementation of a new IRF quality reporting program, as required by section 3004(b) of the Affordable

    Care Act. 3. Overall Impacts

    We estimate that the total impact of these changes for estimated FY 2012 payments compared to estimated FY 2011 payments would be an increase of approximately $150 million (this reflects a $120 million increase from the update to the payment rates and a $30 million increase due to the update to the outlier threshold amount to increase estimated outlier payments from approximately 2.6 percent in FY 2011 to 3 percent in FY 2012). 4. Detailed Economic Analysis i. Basis and Methodology of Estimates

    This final rule sets forth updates of the IRF PPS rates contained in the FY 2011 notice and updates to the CMG relative weights and average length of stay values, the wage index, and the outlier threshold for high-cost cases. This final rule also implements a 0.1 percentage point reduction to the FY 2012 rebased RPL market basket increase factor (updated from a 2002 base year to a 2008 base year) in accordance with sections 1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(ii) of the Act and a 1.0 percent reduction to the FY 2012 rebased RPL market basket increase factor for the productivity adjustment as required by section 1886(j)(3)(C)(ii)(I) of the Act.

    We estimate that the FY 2012 impact would be a net increase of $150 million in payments to IRF providers (this reflects a $120 million estimated increase from the update to the payment rates and a $30 million estimated increase due to the update to the outlier threshold amount to increase the estimated outlier payments from approximately 2.6 percent in FY 2011 to 3.0 percent in FY 2012). The impact analysis in Table 14 of this final rule represents the projected effects of the policy changes in the IRF PPS for FY

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    2012 compared with estimated IRF PPS payments in FY 2011 without the policy changes. We estimate the effects by estimating payments while holding all other payment variables constant. We use the best data available, but we do not attempt to predict behavioral responses to these changes, and we do not make adjustments for future changes in variables, such as the number of discharges or case-mix.

    We note that certain events may combine to limit the scope or accuracy of our impact analysis, because an analysis is future-oriented and, thus, susceptible to forecasting errors because of other changes in the forecasted impact time period. Some examples could be legislative changes made by the Congress to the Medicare program that would impact program funding, or changes specifically related to IRFs.

    Although some of these changes may not necessarily be specific to the

    IRF PPS, the nature of the Medicare program is that the changes may interact, and the complexity of the interaction of these changes could make it difficult to predict accurately the full scope of the impact upon IRFs.

    In updating the rates for FY 2012, we are implementing a number of standard annual revisions and clarifications mentioned elsewhere in this final rule (for example, the update to the wage index and market basket increase factor used to adjust the Federal rates). We estimate that these revisions will increase payments to IRFs by approximately

    $120 million (all due to the update to the market basket increase factor, since the update to the wage index is done in a budget neutral manner-as required by statute-and therefore neither increases nor decreases aggregate payments to IRFs).

    The aggregate change in estimated payments associated with this final rule is estimated to be an increase in payments to IRFs of $150 million for FY 2012. The market basket increase of $120 million and the

    $30 million increase due to the update to the outlier threshold amount to increase estimated outlier payments from approximately 2.6 percent in FY 2011 to 3.0 percent in FY 2012 result in a net change in estimated payments from FY 2011 to FY 2012 of $150 million.

    The effects of the changes that impact IRF PPS payment rates are shown in Table 14. The following changes that affect the IRF PPS payment rates are discussed separately below:

    The effects of the update to the outlier threshold amount, from approximately 2.6 to 3.0 percent of total estimated payments for

    FY 2012, consistent with section 1886(j)(4) of the Act.

    The effects of the 2.9 percent annual market basket update for FY 2012 (using the rebased RPL market basket) to IRF PPS payment rates, as required by sections 1886(j)(3)(A)(i) and 1886(j)(3)(C) of the Act, including a 0.1 percentage point reduction for FY 2012 in accordance with sections 1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(ii) of the Act and a 1.0 percent reduction for the productivity adjustment as required by section 1886(j)(3)(C)(ii)(I) of the Act.

    The effects of applying the budget-neutral labor-related share and wage index adjustment, as required under section 1886(j)(6) of the Act.

    The effects of the budget-neutral changes to the CMG relative weights and average length of stay values, under the authority of section 1886(j)(2)(C)(i) of the Act.

    The effect of the data matching process to compute the DSH patient percentage used in the IPPS DSH adjustment that is also used by

    IRF PPS to compute the low-income percentage adjustment factor.

    The effect of the IRF quality reporting program, beginning in FY 2013.

    The total change in estimated payments based on the FY 2012 policies relative to estimated FY 2011 payments without the policies. ii. Description of Table 14

    Table 14 categorizes IRFs by geographic location, including urban or rural location, and location in one of CMS's 9 census divisions (as defined on the cost report) of the country. In addition, the table divides IRFs into those that are separate rehabilitation hospitals

    (otherwise called freestanding hospitals in this section), those that are rehabilitation units of a hospital (otherwise called hospital units in this section), rural or urban facilities, ownership (otherwise called for-profit, non-profit, and government), by teaching status, and by disproportionate share patient percentage (DSH PP). The top row of the table shows the overall impact on the 1,152 IRFs included in the analysis.

    The next 12 rows of Table 14 contain IRFs categorized according to their geographic location, designation as either a freestanding hospital or a unit of a hospital, and by type of ownership; all urban, which is further divided into urban units of a hospital, urban freestanding hospitals, and by type of ownership; and all rural, which is further divided into rural units of a hospital, rural freestanding hospitals, and by type of ownership. There are 956 IRFs located in urban areas included in our analysis. Among these, there are 752 IRF units of hospitals located in urban areas and 205 freestanding IRF hospitals located in urban areas. There are 195 IRFs located in rural areas included in our analysis. Among these, there are 175 IRF units of hospitals located in rural areas and 20 freestanding IRF hospitals located in rural areas. There are 380 for-profit IRFs. Among these, there are 317 IRFs in urban areas and 63 IRFs in rural areas. There are 718 non-profit IRFs. Among these, there are 596 urban IRFs and 122 rural IRFs. There are 54 government-owned IRFs. Among these, there are 44 urban IRFs and 10 rural IRFs.

    The remaining three parts of Table 14 show IRFs grouped by their geographic location within a region, by teaching status, and by DSH PP.

    First, IRFs located in urban areas are categorized to their location within one of the 9 CMS geographic regions. Second, IRFs located in rural areas are categorized to their location within one of the 9 CMS geographic regions. In some cases, especially for rural IRFs located in the New England, Mountain, and Pacific regions, the number of IRFs represented is small. Third, IRFs are grouped by teaching status, including non-teaching IRFs, IRFs with an intern and resident to

    Average Daily Census (ADC) ratio less than 10 percent, IRFs with an intern and resident to ADC ratio greater than or equal to 10 percent and less than or equal to 19 percent, and IRFs with an intern and resident to ADC ratio greater than 19 percent. Finally, IRFs are grouped by DSH PP, including IRFs with zero DSH PP, IRFs with a DSH PP less than 5 percent, IRFs with a DSH PP between 5 percent and 10 percent, IRFs with a DSH PP between 10 percent and 20 percent, and IRFs with a DSH PP greater than 20 percent.

    The estimated impacts of each change to the facility categories listed above are shown in the columns of Table 14. The description of each column is as follows:

    Column (1) shows the facility classification categories described above.

    Column (2) shows the number of IRFs in each category in our FY 2010 analysis file.

    Column (3) shows the number of cases in each category in our FY 2010 analysis file.

    Column (4) shows the estimated effect of the adjustment to the outlier threshold amount so that estimated outlier payments increase from approximately 2.6 percent in FY 2011 to

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    3.0 percent of total estimated payments for FY 2012.

    Column (5) shows the estimated effect of the rebased market basket update to the IRF PPS payment rates.

    Column (6) shows the estimated effect of the update to the IRF labor-related share and wage index, in a budget neutral manner.

    Column (7) shows the estimated effect of the update to the CMG relative weights and average length of stay values, in a budget neutral manner.

    Column (8) compares our estimates of the payments per discharge, incorporating all of the proposed changes reflected in this final rule for FY 2012, to our estimates of payments per discharge in FY 2011

    (without these changes).

    The average estimated increase for all IRFs is approximately 2.2 percent. This estimated increase includes the effects of the 1.8 percent market basket update, which is derived from a 2.9 percent rebased market basket update reduced by 0.1 percentage point for FY 2012, in accordance with sections 1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(ii) of the Act, and reduced by a 1.0 percentage point productivity adjustment as required by section 1886(j)(3)(C)(ii)(I) of the Act. It also includes the 0.4 percent overall estimated increase

    (the difference between 2.6 percent in FY 2011 and 3.0 percent in FY 2012) in estimated IRF outlier payments from the update to the outlier threshold amount. Because we are making the remainder of the changes outlined in this final rule in a budget-neutral manner, they will not affect total estimated IRF payments in the aggregate. However, as described in more detail in each section, they will affect the estimated distribution of payments among providers.

    Table 14--IRF Impact Table for FY 2012

    Facility classification

    Number of Number of Outlier

    FY 2012

    FY 2012

    CMG

    Total

    IRFs

    cases ----------- Adjusted CBSA wage ----------- percent

    market index and

    change basket

    labor-

    ---------- increase share

    (1)

    (2)

    (3)

    (4)

    factor\1\ -----------

    (7)

    (8)

    (5)

    (6)

    Total..............................

    1,152 397,256

    0.4%

    1.8%

    0.0%

    0.0%

    2.2

    Urban unit.........................

    752 200,510

    0.6

    1.8

    -0.1

    0.0

    2.3

    Rural unit.........................

    175

    27,993

    0.5

    1.8

    0.7

    0.1

    3.2

    Urban hospital.....................

    205 162,121

    0.2

    1.8

    0.0

    0.0

    1.9

    Rural hospital.....................

    20

    6,632

    0.2

    1.8

    1.6

    -0.1

    3.5

    Urban For-Profit...................

    317 151,768

    0.2

    1.8

    0.1

    0.0

    2.1

    Rural For-Profit...................

    63

    12,437

    0.4

    1.8

    1.1

    0.1

    3.4

    Urban Non-Profit...................

    596 199,249

    0.6

    1.8

    -0.3

    0.0

    2.1

    Rural Non-Profit...................

    122

    20,437

    0.5

    1.8

    0.8

    0.0

    3.1

    Urban Government...................

    44

    11,614

    0.7

    1.8

    0.2

    0.0

    2.8

    Rural Government...................

    10

    751

    0.9

    1.8

    1.3

    0.1

    4.1

    Urban..............................

    957 362,631

    0.4

    1.8

    -0.1

    0.0

    2.1

    Rural..............................

    195

    34,625

    0.5

    1.8

    0.9

    0.1

    3.2

    Urban by region \2\

    Urban New England..............

    32

    16,385

    0.4

    1.8

    -1.2

    0.1

    1.1

    Urban Middle Atlantic..........

    142

    66,330

    0.3

    1.8

    -0.7

    0.0

    1.4

    Urban South Atlantic...........

    132

    63,773

    0.4

    1.8

    0.0

    0.0

    2.2

    Urban East North Central.......

    188

    57,251

    0.6

    1.8

    0.0

    0.0

    2.4

    Urban East South Central.......

    49

    26,367

    0.2

    1.8

    0.4

    -0.1

    2.3

    Urban West North Central.......

    73

    18,112

    0.6

    1.8

    0.0

    0.0

    2.4

    Urban West South Central.......

    169

    66,296

    0.4

    1.8

    0.5

    0.0

    2.7

    Urban Mountain.................

    70

    23,827

    0.5

    1.8

    0.2

    -0.1

    2.3

    Urban Pacific..................

    102

    24,290

    0.7

    1.8

    -0.3

    0.0

    2.2

    Rural by region \2\

    ......... ......... ......... ......... ......... ......... .........

    Rural New England..............

    6

    1,354

    1.0

    1.8

    0.7

    0.1

    3.6

    Rural Middle Atlantic..........

    16

    3,232

    0.3

    1.8

    1.8

    0.0

    3.9

    Rural South Atlantic...........

    25

    5,988

    0.3

    1.8

    0.8

    0.0

    2.9

    Rural East North Central.......

    33

    5,775

    0.4

    1.8

    0.1

    0.1

    2.4

    Rural East South Central.......

    23

    4,016

    0.2

    1.8

    1.4

    0.0

    3.4

    Rural West North Central.......

    31

    3,944

    0.8

    1.8

    -0.2

    0.1

    2.5

    Rural West South Central.......

    50

    9,259

    0.6

    1.8

    1.6

    0.1

    4.0

    Rural Mountain.................

    7

    670

    0.6

    1.8

    0.3

    0.1

    2.8

    Rural Pacific..................

    4

    387

    1.5

    1.8

    -0.4

    -0.1

    2.8

    Teaching status

    Non-teaching...................

    1,036 345,421

    0.4

    1.8

    0.1

    0.0

    2.3

    Resident to ADC less than 10%..

    69

    36,843

    0.6

    1.8

    -0.4

    0.0

    2.0

    Resident to ADC 10%-19%........

    33

    12,481

    0.6

    1.8

    -0.3

    0.1

    2.2

    Resident to ADC greater than

    14

    2,511

    0.7

    1.8

    -0.7

    0.0

    1.9 19%...........................

    Disproportionate share patient percentage (DSH PP)

    DSH PP = 0%....................

    39

    10,532

    0.5

    1.8

    0.4

    0.0

    2.7

    DSH PP