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, 24214-24289 [2011-10159]
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Federal Register / Vol. 76, No. 83 / Friday, April 29, 2011 / Proposed Rules
DEPARTMENT OF HEALTH AND
HUMAN SERVICES
Centers for Medicare & Medicaid
Services
42 CFR Part 412
[CMS–1349–P]
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
Centers for Medicare &
Medicaid Services (CMS), HHS.
ACTION: Proposed rule.
AGENCY:
This proposed rule would
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 proposed rule would also
update the prospective payment rates
for inpatient rehabilitation facilities
(IRFs) for Federal fiscal year 2012 (for
discharges occurring on or after October
1, 2011 and on or before September 30,
2012) as required by the Social Security
Act (the Act). 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
proposing to consolidate, clarify, and
revise 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 proposing to amend 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: To be assured consideration,
comments must be received at one of
the addresses provided below, no later
than 5 p.m. on June 21, 2011.
ADDRESSES: In commenting, please refer
to file code CMS–1349–P. Because of
staff and resource limitations, we cannot
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accept comments by facsimile (FAX)
transmission.
You may submit comments in one of
four ways (please choose only one of the
ways listed):
1. Electronically. You may submit
electronic comments on this regulation
to https://www.regulations.gov. Follow
the ‘‘Submit a comment’’ instructions.
2. By regular mail. You may mail
written comments to the following
address only: Centers for Medicare &
Medicaid Services, Department of
Health and Human Services, Attention:
CMS–1349–P, P.O. Box 8016, Baltimore,
MD 21244–8016.
Please allow sufficient time for mailed
comments to be received before the
close of the comment period.
3. By express or overnight mail. You
may send written comments to the
following address only: Centers for
Medicare & Medicaid Services,
Department of Health and Human
Services, Attention: CMS–1349–P, Mail
Stop C4–26–05, 7500 Security
Boulevard, Baltimore, MD 21244–1850.
4. By hand or courier. If you prefer,
you may deliver (by hand or courier)
your written comments before the close
of the comment period to either of the
following addresses: a. For delivery in
Washington, DC—Centers for Medicare
& Medicaid Services, Department of
Health and Human Services, Room 445–
G, Hubert H. Humphrey Building, 200
Independence Avenue, SW.,
Washington, DC 20201.
(Because access to the interior of the
Hubert H. Humphrey Building is not
readily available to persons without
Federal government identification,
commenters are encouraged to leave
their comments in the CMS drop slots
located in the main lobby of the
building. A stamp-in clock is available
for persons wishing to retain a proof of
filing by stamping in and retaining an
extra copy of the comments being filed.)
b. For delivery in Baltimore, MD—
Centers for Medicare & Medicaid
Services, Department of Health and
Human Services, 7500 Security
Boulevard, Baltimore, MD 21244–1850.
If you intend to deliver your
comments to the Baltimore address,
please call telephone number (410) 786–
7195 in advance to schedule your
arrival with one of our staff members.
Comments mailed to the addresses
indicated as appropriate for hand or
courier delivery may be delayed and
received after the comment period.
Submission of comments on
paperwork requirements. You may
submit comments on this document’s
paperwork requirements by following
the instructions at the end of the
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‘‘Collection of Information
Requirements’’ section in this document.
For information on viewing public
comments, see the beginning of the
SUPPLEMENTARY INFORMATION section.
FOR FURTHER INFORMATION CONTACT:
Gwendolyn Johnson, (410) 786–6954,
for general information about the
proposed rule.
Hillary Loeffler, (410) 786–0456, for
information about the proposed
payment rates.
Stella R. Mandl, (410) 786–2547, for
information about the proposed
quality reporting program.
Susanne Seagrave, (410) 786–0044, for
information about the proposed
payment policies.
SUPPLEMENTARY INFORMATION:
Inspection of Public Comments: All
comments received before the close of
the comment period are available for
viewing by the public, including any
personally identifiable or confidential
business information that is included in
a comment. We post all comments
received before the close of the
comment period on the following Web
site as soon as possible after they have
been received: https://
www.regulations.gov. Follow the search
instructions on that Web site to view
public comments.
Comments received timely will also
be available for public inspection as
they are received, generally beginning
approximately 3 weeks after publication
of a document, at the headquarters of
the Centers for Medicare & Medicaid
Services, 7500 Security Boulevard,
Baltimore, Maryland 21244, Monday
through Friday of each week from 8:30
a.m. to 4 p.m. To schedule an
appointment to view public comments,
phone 1–800–743–3951.
Table of Contents
To assist readers in referencing
sections contained in this document, we
are providing the following table of
contents.
I. Background
A. Historical Overview of the Inpatient
Rehabilitation Facility Prospective
Payment System (IRF PPS)
B. Provisions of the Affordable Care Act
Affecting the IRF PPS in FY 2012 and
Beyond
C. Operational Overview of the Current IRF
PPS
II. Summary of Provisions of the Proposed
Rule
A. Proposed Updates to the IRF Federal
Prospective Payment Rates for Federal
Fiscal Year (FY) 2012
B. Proposed Revisions to Existing
Regulation Text
III. Proposed Update to the Case-Mix Group
(CMG) Relative Weights and Average
Length of Stay Values for FY 2012
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IV. Proposed Updates to the Facility-Level
Adjustment Factors for FY 2012
A. Proposed Updates to the IRF FacilityLevel Adjustment Factors
B. Budget Neutrality Methodology for the
Proposed Updates to the IRF FacilityLevel Adjustment Factors
C. Proposed Policy for Temporary Cap
Adjustments to Reflect Interns and
Residents Displaced Due to Closure of
IRFs or IRF Residency Training Programs
1. Background
2. Proposed FTE Intern and Resident
Temporary Cap Adjustment
3. Proposed Temporary Adjustment to the
FTE Cap to Reflect Interns and Residents
Displaced Due to IRF Closure
4. Proposed Temporary Adjustment to the
FTE Cap to Reflect Interns and Residents
Displaced Due to a Residency Program
Closure
V. Proposed FY 2012 IRF PPS Federal
Prospective Payment Rates
A. Proposed Market Basket Increase Factor,
Productivity Adjustment, and LaborRelated Share for FY 2012
1. Proposed Rebasing of the RPL Market
Basket for FY 2012
2. Proposed Productivity Adjustment
3. Proposed Calculation of the IRF PPS
Market Basket Increase Factor for FY
2012
4. Proposed Calculation of the LaborRelated Share for FY 2012
B. Proposed Area Wage Adjustment
C. Description of the Proposed IRF
Standard Conversion Factor and
Payment Rates for FY 2012
D. Example of the Methodology for
Adjusting the Proposed Federal
Prospective Payment Rates
VI. Proposed Update to Payments for HighCost Outliers Under the IRF PPS
A. Proposed Update to the Outlier
Threshold Amount for FY 2012
B. Proposed Update to the IRF Cost-toCharge Ratio Ceilings
VII. Impact of the IPPS Data Matching
Process Changes on the IRF PPS
Calculation of the Low-Income
Percentage Adjustment Factor
VIII. Proposed Updates to the Policies in 42
CFR 412
A. Proposed Consolidation of the
Requirements for Rehabilitation
Hospitals and Rehabilitation Units
B. Proposed Revisions to the Regulations at
Proposed § 412.29
C. Proposed Revisions to the Requirements
for Changes in Bed Size and Square
Footage
D. Proposed Revisions to Enhance
Consistency Between the IRF Coverage
and Payment Requirements
IX. Proposed Quality Reporting Program for
IRFs
A. Background and Statutory Authority
B. Quality Measures for IRF Quality
Reporting Program for FY 2014
1. General
2. Considerations in the Selection of the
Proposed Quality Measures
3. FY 2014 Measure #1: Healthcare
Associated Infection Measure (HAI):
Urinary Catheter-Associated Urinary
Tract Infections (CAUTI)
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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
C. Data Submission Requirements
1. Proposed Method of Data Submission for
HAI Measure (CAUTI)
2. Proposed 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
D. Public Reporting
E. Quality Measures for Future
Consideration for Determination of
Increase Factors for Future Fiscal Year
Payments
F. Proposed New Regulation Text for the IRF
Quality Reporting Program
X. Collection of Information Requirements
XI. Response to Public Comments
XII. Economic Analyses
A. Regulatory Impact Analysis
1. Introduction
2. Statement of Need
3. Overall Impacts
4. Detailed Economic Analysis
5. Alternatives Considered
6. Accounting Statement
7. Conclusion
B. Regulatory Flexibility Act Analysis
C. Unfunded Mandates Reform Act
Analysis
XIII. Federalism Analysis
Regulation Text
Addendum
Acronyms
To assist the reader, we are listing the
acronyms used and their corresponding
meaning in alphabetical order.
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
CDC Centers for Disease Control and
Prevention
CBSA Core-Based Statistical Area
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
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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 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 FacilityPatient 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 LongTerm 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
A. 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
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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 casemix 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 five 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
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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 Website as a
primary information resource for the
IRF PPS. The Web site URL is https://
www.cms.gov/InpatientRehabFacPPS/
and may be accessed to download or
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, lowincome percentage (LIP), and high-cost
outlier adjustments. Beginning with the
FY 2006 IRF PPS final rule (70 FR 47908
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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 proposed 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 caselevel 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
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revised FY 2008 Federal prospective
payment rates are available on the CMS
Web site at https://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 multicampus 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 proposed 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.
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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 selfimplementing 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
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
https://www.cms.gov/InpatientRehab
FacPPS/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,
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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) 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 proposed
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).
B. Provisions of the Affordable Care Act
Affecting the IRF PPS in FY 2012 and
Beyond
The Affordable Care Act included
several provisions that affect 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)
(providing for a ‘‘productivity’’
adjustment’’ for fiscal year 2012 and
each subsequent fiscal year). The
proposed productivity adjustment for
FY 2012 is discussed in section V.A.6.
of this proposed rule, and the 0.1
percentage point adjustment is
discussed in section V.A of this
proposed 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 such payment rates
for the preceding fiscal year.
Section 3004(b) of the Affordable Care
Act also addressed the IRF PPS
program. It reassigned the previouslydesignated section 1886(j)(7) of the Act
to section 1886(j)(8) and inserted a new
section 1886(j)(7), 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) will require application
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of a 2 percentage point reduction of 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 such 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. In so doing, the Secretary must
ensure that IRFs have the opportunity to
review any such data prior to its release
to the public. Future rulemaking will
address these public reporting
obligations.
The proposed quality reporting
program for IRFs, in accordance with
section 1886(j)(7) of the Act, is
discussed in detail in section IX. of this
proposed rule.
C. 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-forservice 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
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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 https://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
Administrative Contractor (MAC).
Claims submitted to Medicare must
comply with both ASCA and HIPAA.
Section 3 of the ASCA amends section
1862(a) of the Act by adding paragraph
(22) which requires the Medicare
program, subject to section 1862(h) of
the Act, to deny payment under Part A
or Part B for any expenses for items or
services ‘‘for which a claim is submitted
other than in an electronic form
specified by the Secretary.’’ Section
1862(h) of the Act, in turn, provides that
the Secretary shall waive such denial in
situations in which there is no method
available for the submission of claims in
an electronic form or the entity
submitting the claim is a small provider.
In addition, the Secretary also has the
authority to waive such denial ‘‘in such
unusual cases as the Secretary finds
appropriate.’’ For more information, see
the ‘‘Medicare Program; Electronic
Submission of Medicare Claims’’ final
rule (70 FR 71008, November 25, 2005).
CMS instructions for the limited
number of Medicare claims submitted
on paper are available at https://
www.cms.gov/manuals/downloads/
clm104c25.pdf.
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Section 3 of the ASCA operates in the
context of the administrative
simplification provisions of HIPAA,
which include, among others, the
requirements for transaction standards
and code sets codified in 45 CFR, parts
160 and 162, subparts A and I through
R (generally known as the Transactions
Rule). The Transactions Rule requires
covered entities, including covered
healthcare providers, to conduct
covered electronic transactions
according to the applicable transaction
standards. (See the CMS program claim
memoranda at https://www.cms.gov/
ElectronicBillingEDITrans/ and listed in
the addenda to the Medicare
Intermediary Manual, Part 3, section
3600).
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 providerspecific 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 this proposed rule, we are
proposing 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 are also proposing to revise
existing regulations text for the purpose
of updating and providing greater
clarity. These proposals are as follows:
A. 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 this
proposed rule.
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• Update the FY 2012 IRF facilitylevel 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 such 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
this proposed rule.
• 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 this proposed
rule.
• 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
this proposed rule.
• Calculate the IRF Standard Payment
Conversion Factor for FY 2012, as
discussed in section V. of this proposed
rule.
• Update the outlier threshold
amount for FY 2012, as discussed in
section VI. of this proposed rule.
• Update the cost-to-charge ratio
(CCR) ceiling and urban/rural average
CCRs for FY 2012, as discussed in
section VI. of this proposed rule.
• 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 VII. of this
proposed rule.
• Implement the IRF quality reporting
program provisions of section 1886(j)(7)
of the Act, as discussed in section IX. of
this proposed rule.
B. Proposed Revisions to Existing
Regulation Text
In this proposed rule, we are
proposing to revise the existing
requirements at § 412.25(b),
§ 412.25(b)(1), § 412.25(b)(2),
§ 412.25(b)(3), and § 412.25(e)(2)(ii)(A)
that apply to all units that are excluded
from the inpatient prospective payment
system (IPPS), as described in section
VIII. of this proposed rule. These
proposed revisions would affect IRFs
and inpatient psychiatric facilities
(IPFs).
We are also proposing to relocate and
revise the existing requirements at
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§ 412.23(b), § 412.29, and § 412.30 that
describe the requirements for facilities
to qualify to receive payment under the
IRF PPS, as described in section VIII. of
this proposed rule.
Finally, we are proposing to redesignate the existing paragraph
§ 412.624(c)(4) as § 412.624(c)(5) and
add a new paragraph § 412.624(c)(4) to
implement the IRF quality reporting
program.
III. Proposed Update to the Case-Mix
Group (CMG) Relative Weights and
Average Length of Stay Values for FY
2012
As specified in § 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 this proposed rule, we propose 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 are
proposing 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 FY 2010 IRF
cost report data are available for
analysis, but the majority of the FY 2010
IRF claims data are available for
analysis.
In this proposed rule, we propose to
use the same methodology that we used
to update the CMG relative weights and
average length of stay values in the FY
2009 IRF PPS final rule (73 FR 46370),
which we also used to update the CMG
relative weights and average length of
stay values in 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 used to calculate the CMG
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relative weights for this proposed rule 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 hospitalspecific 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 are proposing to update the
CMG relative weights for FY 2012 in
such 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 proposed
budget neutrality factor for use in
updating the FY 2012 CMG relative
weights, we propose to use the
following steps:
Step 1. Calculate the estimated total
amount of IRF PPS payments for FY
2012 (with no proposed changes to the
CMG relative weights).
Step 2. Calculate the estimated total
amount of IRF PPS payments for FY
2012 by applying the proposed 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 proposed budget
neutrality factor (0.9989) that would
maintain the same total estimated
aggregate payments in FY 2012 with and
without the proposed changes to the
CMG relative weights.
Step 4. Apply the proposed budget
neutrality factor (0.9989) to the FY 2011
IRF PPS standard payment amount after
the application of the budget-neutral
wage adjustment factor.
In section V.C. of this proposed rule,
we discuss the proposed use of the
existing methodology to calculate the
standard payment conversion factor for
FY 2012.
Table 1, ‘‘Proposed Relative Weights
and Average Length of Stay Values for
Case-Mix Groups,’’ presents the CMGs,
the comorbidity tiers, the proposed
corresponding relative weights, and the
proposed average length of stay values
for each CMG and tier for FY 2012. The
average length of stay for each CMG is
used to determine when an IRF
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discharge meets the definition of a
short-stay transfer, which results in a
per diem case level adjustment. The
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length of stay values shown in Table 1
are subject to change for the final rule
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if more recent data become available for
use in these analyses.
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estimated aggregate payments to IRFs
for FY 2012 would not be affected as a
result of the CMG relative weight
revisions. However, the proposed
revisions would affect the distribution
of payments within CMGs and tiers.
As Table 2 shows, 97 percent of all
IRF cases are in CMGs and tiers that
would experience less than a 5 percent
change (either increase or decrease) in
the CMG relative weight value as a
result of the proposed revisions for FY
2012. The largest increase in the
proposed CMG relative weight values
that affects a particularly large number
of IRF discharges is a 1.7 percent
increase in the CMG relative weight
value for CMG A0704—Fracture of
Lower Extremity with a motor score of
less than 28.15—in the ‘‘no comorbidity’’
tier. In the FY 2010 data, 24,162 IRF
discharges were classified into this CMG
and tier. The largest decrease in a CMG
relative weight value that affects a
particularly large number of IRF
discharges is a 0.7 percent decrease in
the CMG relative weight for CMG
A0110—Stroke, with a motor score of
less than 22.35 and a patient age of less
than 84.5 years in the ‘‘no comorbidity’’
tier. In the FY 2010 IRF claims data, this
change affects 16,975 cases.
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relative weight values, which affect the
overall distribution of payments within
CMGs and tiers. Note that, because we
propose to implement the CMG relative
weight revisions in a budget neutral
manner (as described above), total
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Generally, updates to the CMG
relative weights result in some increases
and some decreases to the CMG relative
weight values. Table 2 shows how the
application of the proposed revisions for
FY 2012 would affect particular CMG
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weighting methodology from our
analysis of the facility-level adjustment
factors and update the IRF facility-level
adjustment factors for FY 2012 using an
unweighted regression analysis. The
primary effect of the proposed change in
methodology is to stabilize all three of
the facility-level adjustment factors (that
is, the rural, the LIP, and the teaching
status adjustment factor) over time.
However, the proposed change in the
methodology also has a relatively large
effect on our estimate of the LIP
adjustment factor that we discuss in this
section.
To update the facility-level
adjustment factors for FY 2012, we
propose using updated data (FY 2008,
FY 2009, and 2010 IRF claims data and
the corresponding year’s cost report data
or, if unavailable, the most recent
available cost report data). To analyze
the updated data, we propose to use a
revised methodology from the
methodology that we used to update the
facility-level adjustment factors in the
FY 2010 IRF PPS final rule (74 FR
39762). The revised methodology would
remove a weighting factor from the
regression analysis and, instead, assign
equal weight to all facilities in the
regression analysis. Based on analysis of
the updated data using the proposed
unweighted regression analysis and the
3-year moving average approach, we
estimate that IRF PPS payments to IRFs
in rural areas would be increased by
18.7 percent for FY 2012. In addition, to
account for the percentage of lowincome patients that an IRF treats, we
estimate that IRF PPS payments for FY
2012 would be adjusted using an
updated LIP adjustment formula of (1 +
disproportionate share hospital (DSH)
patient percentage) raised to the power
of (0.1897), where the—
Note that the proposed LIP
adjustment factor of 0.1897 is
substantially lower than the current LIP
adjustment factor of 0.4613 due to the
use of updated data and the proposed
use of the unweighted regression
methodology, which would give equal
weight to all facilities in the regression.
Finally, we estimate that IRF PPS
payments to eligible IRFs that qualify
for the teaching status adjustment will
be adjusted by the following updated
formula for FY 2012: (1 + full-time
equivalent (FTE) interns and residents/
average daily census) raised to the
power of (0.4888). To calculate the
proposed updates to the rural, LIP, and
teaching status adjustment factors for
FY 2012, we used the following steps:
[Steps 1 and 2 are performed
independently for each of 3 years of
IRF claims data: FY 2008, FY 2009,
and FY 2010]
Step 1. Calculate the average cost per
case for each IRF in the IRF claims data.
Step 2. Use logarithmic regression
analysis on average cost per case to
compute the coefficients for the rural,
LIP, and teaching status adjustments.
For FY 2012, we are proposing to
update the logarithmic regression
analysis so that we no longer apply
weights to the analysis. The proposed
unweighted regression analysis gives
equal weight to all facilities in the
regression analysis.
Step 3. Calculate a simple mean for
each of the coefficients across the 3
years of data using logarithms for the
LIP and teaching status adjustment
coefficients (because they are
continuous variables), but not for the
rural adjustment coefficient (because the
rural variable is either zero (if not rural)
or 1 (if rural)). To compute the proposed
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IV. Proposed Updates to the FacilityLevel Adjustment Factors for FY 2012
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A. Proposed Updates to the IRF FacilityLevel 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 § 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 three 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 three-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.
Though 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 estimate unusually large year-to-year
fluctuations in the teaching status
adjustment factor. To determine the
underlying reasons for these large yearto-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 unusually large year-toyear fluctuations in the teaching status
adjustment factors were the result of a
weighting methodology that we have
been applying to the regression analysis
used to estimate the facility-level
adjustment factors since the
implementation of the IRF PPS. This
weighted regression methodology
assigns greater weight to some facilities
than to others and, in effect, exaggerates
the differences among different types of
IRF facilities. While this weighted
regression methodology was appropriate
when the IRF PPS was first being
developed because we had limited data
on which to base the initial facility-level
adjustment factors, we believe that a
more appropriate and conservative
approach for the current IRF PPS is to
assign equal weight to all facilities in
the regression analysis that is used to
estimate all of the IRF facility-level
adjustment factors (that is, the rural,
LIP, and teaching status adjustment
factors). Thus, we propose to remove the
Given the changes in IRFs’ case mix
over time, we believe that it is important
to update the CMG relative weights and
average length of stay (LOS) values
periodically to continue to reflect the
trends in IRF patient populations. As we
have more recent data that better reflect
IRFs’ case mix at this time, we propose
the updates described in this section.
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LIP and teaching status adjustment
factors, we convert these factors back
out of the logarithmic form.
The proposed adjustment factors are
subject to change for the final rule if
more recent data become available for
use in these analyses.
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B. Budget Neutrality Methodology for
the Proposed Updates to the IRF
Facility-Level Adjustment Factors
Consistent with the way that we
implemented changes to the IRF facilitylevel adjustment factors (the rural, LIP,
and teaching status adjustment factors)
in the FY 2006 and FY 2010 IRF PPS
final rules (70 FR 47880, 70 FR 57166,
and 74 FR 39762), we propose to make
changes to the rural, LIP, and teaching
status adjustment factors for FY 2012 in
such a way that total estimated
aggregate payments to IRFs for FY 2012
would be the same with or without the
proposed changes (that is, in a budget
neutral manner) by applying budget
neutrality factors for each of these three
changes to the standard payment
amount. To calculate the proposed
budget neutrality factors used to update
the rural, LIP, and teaching status
adjustment factors, we propose to use
the following steps:
Step 1. Using the most recent
available data (currently FY 2010),
calculate the estimated total amount of
IRF PPS payments that would be made
in FY 2012 (without applying the
proposed changes to the rural, LIP, or
teaching status adjustment factors).
Step 2. Calculate the estimated total
amount of IRF PPS payments that would
be made in FY 2012 if the proposed
update to the rural adjustment factor
were applied.
Step 3. Divide the amount calculated
in step 1 by the amount calculated in
step 2 to determine the proposed budget
neutrality factor (0.9998) that would
maintain the same total estimated
aggregate payments in FY 2012 with and
without the proposed change to the
rural adjustment factor.
Step 4. Calculate the estimated total
amount of IRF PPS payments that would
be made in FY 2012 if the proposed
update to the LIP adjustment factor were
applied.
Step 5. Divide the amount calculated
in step 1 by the amount calculated in
step 4 to determine the proposed budget
neutrality factor (1.0327) that would
maintain the same total estimated
aggregate payments in FY 2012 with and
without the proposed change to the LIP
adjustment factor.
Step 6. Calculate the estimated total
amount of IRF PPS payments that would
be made in FY 2012 if the proposed
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update to the teaching status adjustment
factor were applied.
Step 7. Divide the amount calculated
in step 1 by the amount calculated in
step 6 to determine the proposed budget
neutrality factor (1.0024) that would
maintain the same total estimated
aggregate payments in FY 2012 with and
without the proposed change to the
teaching status adjustment factor.
Step 8. Apply the proposed budget
neutrality factors for the updates to the
rural, LIP, and teaching status
adjustment factors to the FY 2011 IRF
PPS standard payment amount after the
application of the proposed budget
neutrality factors for the wage
adjustment and the CMG relative
weights.
The proposed budget neutrality
factors for the proposed changes to the
rural, LIP, and teaching status
adjustment factors are subject to change
for the final rule if more recent data
become available for use in these
analyses or if the proposed payment
policies associated with the proposed
budget neutrality factors change.
In section V.C. of this proposed rule,
we discuss the proposed methodology
for calculating the standard payment
conversion factor for FY 2012.
C. Proposed 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
§ 412.624(e)(4) to establish a facilitylevel 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
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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. Proposed Temporary FTE Intern and
Resident 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. CMS has
recently proposed to include a similar
temporary cap adjustment policy for the
inpatient psychiatric facility (IPF) PPS
teaching status adjustment outlined in
the rate year 2012 IPF PPS proposed
rule (76 FR 4998 at 5018 through 5020).
Consistent with the IPPS and the IPF
PPS, in this proposed rule, we propose
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
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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 proposing to adopt 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
proposed temporary adjustments to the
FTE caps for IPFs.
We are proposing that the cap
adjustment would be temporary because
it is intern and resident specific and
would 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.
We propose that, as under the IPPS
policy for displaced interns and
residents, the IRF PPS temporary cap
adjustment would 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 would not be considered
displaced interns and residents for
purposes of the IRF temporary cap
adjustment policy. We are proposing to
adopt the same definition of ‘‘closure of
a hospital residency training program’’
as it is currently defined at
§ 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, we are proposing that
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 proposing to adopt
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
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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 proposed rule are met.
3. Proposed Temporary Adjustment to
the FTE Cap To Reflect Interns and
Residents Displaced Due to an IRF
Closure
We are proposing to 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 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
proposing 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
proposing to adopt the IPPS definition
of ‘‘closure of a hospital’’ in
§ 413.79(h)(1)(i) to mean the IRF
terminates its Medicare provider
agreement as specified in § 489.52.
Therefore, we are proposing to allow a
temporary adjustment to an IRF’s FTE
cap to reflect interns and residents
added because of an IRF’s closure. The
proposed policy would 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 on or after October 1, 2011.
We would 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 on or after October 1, 2011.
(b) The IRF that is training the
displaced interns and residents from the
closed IRF submits a request for a
temporary adjustment to its FTE cap to
its Medicare contractor no later than 60
days after the hospital first begins
training the displaced interns and
residents, and documents that the IRF is
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24227
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 would revert to
its original level. This means that the
temporary adjustment to the FTE cap
would 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, we are also
proposing that 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. Proposed Temporary Adjustment to
FTE Cap To Reflect Interns and
Residents Displaced Due to a Residency
Program Closure
We are proposing that 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
proposing to adopt the IPPS definition
of ‘‘closure of a hospital residency
training program’’ as specified in
§ 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
We are proposing that an IRF may
receive a temporary adjustment to its
FTE cap to reflect interns and residents
added because of the closure of another
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IRF’s residency training program for
cost reporting periods beginning on or
after October 1, 2011 if—
• The IRF is training additional
interns and residents from the residency
training program of an IRF that closed
its program on or after October 1, 2011;
and
• No later than 60 days after the IRF
begins to train the interns and residents,
the IRF submits to its Medicare
contractor a request for a temporary
adjustment to its FTE cap, documents
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 proposed temporary
adjustment criteria established for
closed medical residency training
programs at IRFs is similar to the
criteria established for closed IRFs. We
are proposing that 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)
We are proposing that 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
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closure, had the program not closed;
and
• No later than 60 days after the
interns and residents who were in the
closed program begin training at another
IRF, submits to its Medicare contractor
a statement 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; identifies the interns and residents
who were training at the time of the
program’s closure; identifies the IRFs to
which the interns and residents are
transferring once the program closes;
and specifies the reduction for the
applicable program years.
In addition, we propose under this
closed program policy that 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
proposing 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.
We are proposing that the cap
reduction for the IRF with the closed
program would 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.
In summary, we are proposing new
IRF policies related to temporary
adjustments to FTE caps to reflect
interns and residents added due to
closure of an IRF or closure of a
residency training program. Finally, we
are proposing that the IRFs that meet the
proposed criteria would be eligible to
receive temporary adjustments to their
FTE caps for cost reporting periods
beginning on or after October 1, 2011.
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V. Proposed FY 2012 IRF PPS Federal
Prospective Payment Rates
A. Proposed 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 proposed rule, we are proposing
to update 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 proposing to
rebase the RPL market basket from a
2002-based market basket to a 2008based 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 proposed rule, we
propose to 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 V.A.1 of this
proposed rule, we describe the proposed
methodology for rebasing the RPL
market basket from a 2002 base year to
a 2008 base year, and then in section
V.A.2 of this proposed rule, we describe
the proposed methodology for
calculating the productivity adjustment
as required by section 1886(j)(3)(C)(ii)(I)
of the Act. Finally, in section V.A.3 of
this proposed rule, we describe the
proposed calculation of the market
basket increase factor to be used to
adjust IRF PPS payments for FY 2012.
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1. Proposed Rebasing of the RPL Market
Basket 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 the FY 2006 IRF PPS
final rule (70 FR 47908), 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.
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 § 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. See the FY 2006 IRF PPS
final rule (70 FR 47908) for a complete
discussion of the FY 2002-based RPL
market basket.
In the FY 2010 IRF 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 with respect to 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
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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 standalone 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.
We welcome public comment on the
possibility of using this type of market
basket to update IRF payments in the
future.
For this update cycle, we are
proposing to rebase and revise the FY
2002-based RPL market basket by
creating a proposed FY 2008-based RPL
market basket. In the following
discussion, we provide an overview of
the market basket and describe the
methodologies we propose to use for
purposes of determining the operating
and capital portions of the proposed FY
2008-based RPL market basket.
b. Overview of the Proposed FY 2008Based RPL Market Basket
The proposed 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 this proposed rule, the base
period is FY 2008) and total base period
expenditures are estimated for a set of
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mutually exclusive and exhaustive
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 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. Proposed Rebasing and Revising of
the RPL Market Basket
We are inviting public comments on
our proposed methodological changes to
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 this proposed rule, we are
proposing to shift the base year cost
structure for the RPL market basket from
FY 2002 to FY 2008). ‘‘Revising’’ means
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changing data sources, price proxies, or
methods, used to derive the input price
index. For FY 2012, we are proposing 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 proposed 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
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(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
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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
propose to 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 are proposing 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 propose to
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 are proposing to use a less
stringent measure of Medicare LOS for
IPFs. For this provider-type, and in
order to produce a robust sample size,
we propose to 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 four 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 2008based RPL market basket cost weights.
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 proposed 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 proposed 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.
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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 2002based RPL market basket, we used the
1997 Benchmark I–O data. We are
proposing to 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.
(2) Final Cost Category Computation
As stated previously, for this rebasing
we are proposing 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 two 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 two 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 proposing to break 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 the
section V.A.1.c.(3) of this proposed rule.
Also, the proposed FY 2008-based RPL
market basket excludes 1 cost category:
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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 are proposing to
include the photo supplies costs in the
Chemical cost category weight with
other similar chemical products.
We are not proposing to change our
definition of the labor-related share.
However, we are proposing to rename
our aggregate cost categories from
‘‘labor-intensive’’ and ‘‘nonlaborintensive’’ 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 laborintensive and its cost varies with the
local labor market. In previous
regulations, we grouped cost categories
that met both of these criteria into laborintensive services. We believe the
proposed new labels more accurately
reflect the concepts that they are
intended to convey. We are not
proposing to change our definition of
the labor-related share because we
continue to classify a cost category as
labor-related if the costs are laborintensive and vary with the local labor
market.
(3) Selection of Price Proxies
After computing the FY 2008 cost
weights for the proposed 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.
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(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
propose to use for the operating portion
of the FY 2008-based RPL market
basket. The price proxies proposed for
the capital portion are described in
more detail in the capital methodology
section (see section V.A.1.c.(4) of this
proposed rule).
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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
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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
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IPPS market basket, see the IPPS final
rule published in the August 27, 2009
Federal Register (74 FR 43843).
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(i) Wages and Salaries
We are proposing to 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 2002based RPL market basket.
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(ii) Employee Benefits
We are proposing to 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 are proposing to 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
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proxied this category using the PPI for
Commercial Natural Gas (BLS series
code WPU0552). For the proposed FY
2008-based market basket, we are
proposing to 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 are proposing to use the PPI for
Petroleum Refineries (BLS series code
PCU324110324110) as the proxy for this
cost category.
(v) Water and Sewage
We are proposing to use the CPI for
Water and Sewerage Maintenance (All
Urban Consumers) (BLS series code
CUUR0000SEHG01) to measure the
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price growth of this cost category. This
same proxy was used in the FY 2002based RPL market basket.
(vi) Professional Liability Insurance
We are proposing to 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 are proposing to 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
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growth of this cost category. This same
proxy was used in the FY 2002-based
RPL market basket.
(viii) Food: Direct Purchases
(x) Chemicals
We are proposing to 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.
We are proposing to 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
(ix) Food: Contract Services
We are proposing to use the CPI for
Food Away From Home (All Urban
Consumers) (BLS series code
CUUR0000SEFV) to measure the price
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(xi) Medical Instruments
We are proposing to 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 2002based 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
proposing to change the price proxy for
this cost category to the more aggregated
PPI for Medical, Surgical, and Personal
Aid Devices.
(xii) Photographic Supplies
We are proposing to eliminate the cost
category specific to photographic
supplies for the proposed FY 2008
based RPL market basket. These costs
would now be included in the
Chemicals cost category because the
costs are presently reported as all other
chemical products. Notably, although
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we would be eliminating the specific
cost category, these costs would still be
accounted for within the RPL market
basket.
(xiii) Rubber and Plastics
We are proposing to 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 are proposing to 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 are proposing to 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 are proposing to 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.
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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 are proposing to 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
below 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.
(xvii) Miscellaneous Products
We are proposing to 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 would
remove the double-counting of food and
energy prices, which would already be
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 are proposing to 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.
(xix) Administrative and Business
Support Services
We are proposing to 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
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series; however, this is the same proxy
that was used in the FY 2002-based RPL
market basket.
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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 are proposing to 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 2002based RPL market basket.
(xxi) Professional Fees: NonlaborRelated
We are proposing to 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 proposing to use for the
Professional Fees: Labor-related cost
category.
(xxii) Financial Services
We are proposing to 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 are proposing to 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.
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(xxiv) Postage
We are proposing to 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 are proposing to use the CPI for
All Items Less Food and Energy (BLS
series code CUUR0000SA0L1E) to
measure the price growth of this cost
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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 would remove 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 would
represent a technical improvement to
the market basket.
(4) Proposed 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 proposed FY 2008-based RPL
market basket, we are proposing to
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 proposed total capital cost
weight, we first apply the same LOS
edits as applied when calculating the
operating cost weights as described
above in section V.A.1.c.(1)(a) of this
proposed rule. The resulting proposed
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
three 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
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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 forprofit 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 proposed FY 2008based RPL market basket, we are
proposing 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
proposed 33/67 split between
government/nonprofit and for-profit
interest. We believe it is important that
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 V.A.1.c.(1)(a) of this proposed
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 are proposing to use
the vintage weights to compute vintageweighted price changes associated with
depreciation and interest expense.
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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 proposed FY 2008-based
RPL market basket would reflect 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 would
reflect 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
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equipment (70 FR 47913). The FY 2002based 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 are proposing to 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 propose to 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 proposed 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
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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 proposed movable equipment
vintage weights, the real annual capital
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 11year 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
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determine the average movable
equipment vintage weights for the FY
2008-based RPL market basket.
For the proposed 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
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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
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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 2008based RPL market basket are presented
in Table 6.
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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).
(5) Proposed FY 2012 Market Basket
Increase Factor
For FY 2012 (that is, beginning
October 1, 2011 and ending September
30, 2012), we are proposing to use an
estimate of the proposed 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
4th quarter of 2010, the projected
market basket increase factor for FY
2012 is 2.8 percent. Therefore,
consistent with our historical practice of
estimating market basket increases
based on the best available data, we are
proposing a market basket increase
factor of 2.8 percent for FY 2012.
Furthermore, because the proposed FY
2012 update is based on the most recent
market basket estimate for the 12-month
period (currently 2.8 percent), we are
also proposing that if more recent data
are subsequently available (for example,
a more recent estimate of the market
basket), we would use such data, if
appropriate, to determine the FY 2012
update in the final rule.
Using the current FY 2002-based RPL
market basket and IGI’s 1st quarter 2011
forecast for the market basket
components, the FY 2012 update would
be 2.8 percent. Table 7 compares the
proposed FY 2008-based RPL market
basket and the FY 2002-based RPL
market basket percent changes.
For FY 2012, the proposed FY 2008based RPL market basket update is the
same as the FY 2002-based RPL market
basket (2.8 percent). The lower total
compensation weight in the proposed
FY 2008-based RPL market basket
(62.278 percent) relative to the FY 2002based 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 updates
are the same for FY 2012 based on the
current 2002-based RPL market basket
and the proposed FY 2008-based RPL
market basket.
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2. Proposed 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 V.A.1 of this
proposed rule, we are proposing to
estimate the IRF PPS increase factor for
FY 2012 based on the proposed FY
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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 are proposing
to use the same price proxies for the
capital portion of the proposed FY 2008based 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 selection criteria of relevance,
timeliness, availability, and reliability.
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Secretary for the 10-year period ending
with the applicable FY, year, cost
reporting period, or other annual
period) (the ‘‘MFP adjustment’’). The
BLS is the agency that publishes the
official measure of private nonfarm
business MFP. Please see https://
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.
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
https://www.bls.gov/mfp/mprtech.pdf.
At the time of this proposed rule, the
BLS has published a historical time
series of private nonfarm business MFP
for 1987 through 2009, with 2009 being
a preliminary value. Using this
historical MFP series and the IGI
forecasted series, IGI has developed a
forecast of MFP for 2010 through 2021,
as described below.
To create a forecast of BLS’ MFP
index, the forecasted annual growth
rates of the ‘‘non-housing, nongovernment, non-farm, real GDP’’,
‘‘hours of all persons in private nonfarm
establishments adjusted for labor
composition,’’ and ‘‘real effective capital
stock’’ series (ranging from 2010 to 2021)
are used to ‘‘grow’’ the levels of the ‘‘real
value-added output,’’ ‘‘private non-farm
business sector labor input,’’ and
‘‘aggregate capital input’’ 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 three 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, two 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 ‘‘nongovernment 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
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2008-based RPL market basket. Section
1886(j)(3)(C)(ii) of the Act then requires
that, after establishing the increase
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
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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. Proposed 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
the Act, we propose to start with the FY
2008-based RPL market basket increase
factor described above in section V.A.1.
of this proposed rule and subtract from
that the MFP percentage adjustment
described in section V.A.2.of this
proposed rule. Additionally, in
accordance with sections
1886(j)(3)(C)(ii)(II) and (D)(ii) of the Act,
we propose to further reduce the MFPadjusted IRF PPS increase factor by 0.1
percentage point for FY 2012.
Specifically, in calculating the MFP
percentage adjustment, we propose that
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 10year moving average of changes in MFP
for the period ending September 30,
2012. We propose to 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,
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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 is
based on the 1st quarter 2011 forecast of
the proposed FY 2008-based RPL market
basket update, which is estimated to be
2.8 percent. This proposed increase
factor is then reduced by the MFP
adjustment (the 10-year moving average
of MFP for the period ending FY 2012)
of 1.2 percentage points, based on the
proposed methodology described above
and IHS Global Insight’s 1st quarter
2011 forecast. The proposed increase
factor for FY 2012 is 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 is 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 propose to
update the market basket increase factor
estimate and the MFP adjustment in the
final rule to reflect the most recent
available data.
4. Proposed Calculation of the LaborRelated 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 such 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.’’
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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 are proposing to include in the
labor-related share the sum of the
relative 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 laborintensive and are mostly performed at
the hospital facility (and 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 laborrelated 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 proposed FY 2008-based RPL
market basket rebasing, the proposed
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 Laborintensive cost category. As previously
stated, we are proposing to 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,
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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: Laborrelated costs were determined to be the
difference between the total costs for
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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
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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
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
are proposing to apportion the NAICS
55 expense data by this percentage.
Thus, we are proposing to classify 19
percent of these costs into the
Professional Fees: Labor-related cost
category and the remaining 81 percent
into the Professional Fees: Nonlaborrelated Services cost category.
Using this proposed method and the
IHS Global Insight, Inc. forecast for the
1st quarter 2011 of the proposed FY
2008-based RPL market basket, the IRF
labor-related share for FY 2012 is the
sum of the FY 2012 relative importance
of each labor-related cost category.
Consistent with our proposal to update
the labor-related share with the most
recent available data, the labor-related
share for this proposed rule reflects IHS
Global Insight’s 1st quarter 2011 forecast
of the proposed FY 2008-based RPL
market basket. Table 9 shows the
proposed FY 2012 relative importance
labor-related share using the proposed
FY 2008-based RPL market basket and
the FY 2002-based RPL market basket.
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The proposed labor-related share for
FY 2012 is the sum of the proposed FY
2012 relative importance of each laborrelated 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 proposed 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 66.689 percent, as
shown in Table 9.
We are proposing that 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 7.923 percent of the proposed
FY 2008-based RPL market basket in FY
2012, we are proposing to take 46
percent of 7.923 percent to determine
the proposed labor-related share of
Capital for FY 2012. The result would
be 3.645 percent, which we propose to
add to 66.689 percent for the operating
cost amount to determine the total
proposed labor-related share for FY
2012. Thus, the labor-related share that
we propose to use for IRF PPS in FY
2012 would be 70.334 percent. This
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proposed labor-related share is
determined using the same methodology
as employed in calculating all previous
IRF labor-related shares. The wage
index and the labor-related share are
adjusted for budget neutrality.
B. Proposed 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
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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
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 propose to
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 in which to base the
calculation for the FY 2012 IRF PPS
wage index.
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Additionally, we propose to
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 https://www.whitehouse.
gov/omb/bulletins/.
To calculate the wage-adjusted facility
payment for the payment rates set forth
in this proposed rule, we multiply the
unadjusted Federal payment rate for
IRFs by the proposed FY 2012 laborrelated share based on the FY 2008based RPL market basket (70.334
percent) to determine the labor-related
portion of the standard payment
amount. We then multiply the laborrelated portion by the applicable IRF
wage index from the tables in the
addendum to this proposed 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
proposed budget neutral wage
adjustment factor as established in the
FY 2004 IRF PPS final rule (68 FR
45689), codified at § 412.624(e)(1), as
described in the steps below. We use the
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listed steps to ensure that the proposed
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
proposed 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 laborrelated 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
proposed FY 2012 budget neutral wage
adjustment factor of 0.9989.
Step 4. Apply the proposed 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
proposed FY 2012 standard payment
conversion factor.
We discuss the calculation of the
proposed standard payment conversion
factor for FY 2012 in section V.C. of this
proposed rule.
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C. Description of the Proposed IRF
Standard Conversion Factor and
Payment Rates for FY 2012
To calculate the proposed standard
payment conversion factor for FY 2012,
as illustrated in Table 10, we begin by
applying the proposed adjusted market
basket increase factor for FY 2012 that
was adjusted in accordance with
sections 1886(j)(3)(C) and (D) of the Act
(1.5 percent, or 2.8 percent less a
cumulative total adjustment of 1.3
percentage points, as described in
section V.A.3. of this proposed rule), to
the standard payment conversion factor
for FY 2011 ($13,860). Applying the
proposed 1.5 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 $14,068. Then, we
apply the proposed budget neutrality
factor for the FY 2012 wage index and
labor-related share of 0.9989, which
results in a standard payment amount of
$14,052. Then we apply the proposed
budget neutrality factor for the revised
CMG relative weights of 0.9989, which
results in a proposed standard payment
amount of $14,037. Finally, we apply
the proposed budget neutrality factors
for the updates to the rural, LIP and IRF
teaching status adjustments of 0.9998,
1.0327, and 1.0024, respectively, which
results in a proposed standard payment
amount of $14,528 for FY 2012.
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After the application of the CMG
relative weights described in Section III
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of this proposed rule, to the proposed
FY 2012 standard payment conversion
factor ($14,528), the resulting proposed
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unadjusted IRF prospective payment
rates for FY 2012 are shown in Table 11,
‘‘Proposed FY 2012 Payment Rates.’’
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BILLING CODE 4120–01–C
D. Example of the Methodology for
Adjusting the Proposed Federal
Prospective Payment Rates
Table 12 illustrates the methodology
for adjusting the proposed Federal
prospective payments (as described in
sections V.A. through V.C. of this
proposed rule). The following examples
are based on two hypothetical Medicare
beneficiaries, both classified into CMG
0110 (without comorbidities). The
proposed unadjusted Federal
prospective payment rate for CMG 0110
(without comorbidities) appears in
Table 11.
srobinson on DSKHWCL6B1PROD with PROPOSALS4
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
1.0093), a wage index of 0.8391, and a rural
adjustment of 18.7 percent. Facility B, an
urban teaching hospital, has a DSH
percentage of 15 percent (which would result
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in a LIP adjustment of 1.0269 percent), a
wage index of 0.8896, and a teaching status
adjustment of 0.0610.
To calculate each IRF’s labor and nonlabor portion of the proposed Federal
prospective payment, we begin by
taking the proposed unadjusted Federal
prospective payment rate for CMG 0110
(without comorbidities) from Table 11.
Then, we multiply the proposed laborrelated share for FY 2012 (70.334
percent) described in section V.A.4 of
this proposed rule by the proposed
unadjusted Federal prospective
payment rate. To determine the nonlabor portion of the proposed Federal
prospective payment rate, we subtract
the labor portion of the proposed
Federal payment from the proposed
unadjusted Federal prospective
payment.
To compute the proposed wageadjusted Federal prospective payment,
we multiply the labor portion of the
proposed Federal payment by the
appropriate wage index found in the
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addendum in Tables A and B. The
resulting figure is the wage-adjusted
labor amount. Next, we compute the
proposed wage-adjusted Federal
payment by adding the wage-adjusted
labor amount to the non-labor portion.
Adjusting the proposed 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 wageadjusted and rural-adjusted amount (if
applicable). Finally, we add the
additional teaching status payments (if
applicable) to the wage, rural, and LIPadjusted Federal prospective payment
rates. Table 12 illustrates the
components of the adjusted payment
calculation.
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Thus, the proposed adjusted payment
for Facility A would be $32,392.77 and
the proposed adjusted payment for
Facility B would be $30,592.91.
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VI. Proposed Update to Payments for
High-Cost Outliers Under the IRF PPS
A. Proposed 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
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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
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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
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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
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 propose to 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 this updated data, we
estimate that IRF outlier payments as a
percentage of total estimated payments
are approximately 2.7 percent in FY
2011. Based on the updated analysis, we
propose to update the outlier threshold
amount to $11,822 to maintain
estimated outlier payments at
approximately 3 percent of total
estimated aggregate IRF payments for
FY 2012.
The proposed outlier threshold
amount of $11,822 for FY 2012 is
subject to change in the final rule if
more recent data become available for
analysis or if any changes are made to
any of the other proposed payment
policies set forth in this proposed rule.
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B. Proposed Update to the IRF Cost-toCharge 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 propose to 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.
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• Other IRFs for which accurate data
to calculate an overall CCR are not
available.
Specifically, for FY 2012, we estimate
a proposed national average CCR of
0.669 for rural IRFs, which we calculate
by taking an average of the CCRs for all
rural IRFs using their most recently
submitted cost report data. Similarly,
we estimate a national average CCR of
0.520 for urban IRFs, which we
calculate 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 proposed rule, we have used
the most recent available cost report
data (FY 2009). This includes all IRFs
whose cost reporting periods begin 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 addition, in accordance with past
practice, we propose to 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
estimate 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. Estimating 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 note that the proposed national
average rural and urban CCRs and our
estimate of the national CCR ceiling in
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this section are subject to change in the
final rule if more recent data become
available for use in these analyses.
VII. 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 § 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 disproportionate share
hospital (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, CMS matches 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). CMS 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
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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.
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VIII. Proposed 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.
In addition, 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 current separation of
the regulatory sections results in
unnecessary repetition and confusion
about which regulations apply to which
types of facilities.
In addition, we added new IRF
coverage requirements to
§ 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 § 412.23(b) and
§ 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
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requirements in § 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 current Medicare rules and
requirements for IRFs do 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
proposed rule we propose to
consolidate, clarify, and revise the
regulations for inpatient rehabilitation
facilities at § 412.23(b), § 412.25(b),
§ 412.29, and § 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
§ 412.622(a)(3), (4), and (5). Since the
proposed modifications would
eliminate regulations that may no longer
be strictly necessary under the IRF PPS,
they would enable IRFs to more easily
adjust to beneficiary changes in demand
for IRF services, which would improve
beneficiary access to these services. The
proposed modifications would 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 may no longer be
strictly necessary. Since 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 savings.
However, for example, each time an IRF
unit submits a request to add beds to its
facility under the current regulations,
the Medicare contractor must determine
whether or not the added IRF beds will
be considered ‘‘new.’’ To be considered
‘‘new,’’ the beds must be 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) is difficult, and
potentially costly, for IRFs that are
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
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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 current regulations
require Medicare contractors to expend
unnecessary resources determining
whether the IRF has met the second
criteria, which requires 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 proposed modifications to the
regulations 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 proposed
modifications would enhance the
consistency between the IRF coverage
and payment requirements.
We note that § 412.25(b) applies to
both IRFs and inpatient psychiatric
facilities (IPFs), so the proposed
revisions to § 412.25(b) would also
affect IPFs in similar ways.
A. Proposed 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 propose to revise and
consolidate the regulations for
rehabilitation facilities that are currently
in § 412.23(b) (for rehabilitation
hospitals), § 412.29 (for rehabilitation
units), and § 412.30 (for rehabilitation
units) into a revised § 412.29 that would
contain the requirements for all IRFs,
whether they be freestanding
rehabilitation hospitals or rehabilitation
units of acute care hospitals (or CAHs).
We believe that this would simplify the
regulations by consolidating the
majority of the requirements for IRFs
into just one sub-section of part 412.
Although we are proposing slight
modifications to the regulations in
§ 412.25(b), as discussed in section
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VII.C. of this proposed rule, we are not
proposing to move the IRF regulations
in § 412.25 to § 412.29 in this proposed
rule. The regulations in § 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. Since 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 § 412.29 that are intended to apply to
both freestanding IRF hospitals and to
IRF units of hospitals. Further, we are
not proposing modifications to § 412.25,
other than the proposed changes to
§ 412.25(b) as discussed in section VII.C.
of this proposed rule, because the
regulations in § 412.25(a) through (g)
(excluding (b)) remain relevant and
important for defining IRF units of
hospitals for payment purposes.
However, we propose to replace the
text that is currently located at
§ 412.23(b) with text that simply refers
the reader to the requirements in
§ 412.29, and move the rest of
§ 412.23(b) and all of § 412.30 to
§ 412.29. We propose to leave text in
§ 412.23(b) that refers IRFs to the
requirements they must meet in § 412.29
only so that we do not disturb the
ordering of the rest of § 412.23 that
contain the Medicare regulations for
inpatient psychiatric facilities,
children’s hospitals, and long-term care
hospitals. Specifically, we propose to
move all of the text in § 412.23(b) to
§ 412.29 except for a new paragraph that
refers to the requirements in § 412.29,
which would read as follows: ‘‘(b)
Rehabilitation hospitals. A
rehabilitation hospital must meet the
requirements specified in § 412.29 to be
excluded from the prospective payment
systems specified in § 412.1(a)(1) and to
be paid under the prospective payment
system specified in § 412.1(a)(3) and in
subpart P of this part.’’
B. Proposed Revisions to the
Regulations at Proposed § 412.29
As described in section VIII.A. of this
proposed rule, we propose to replace
the text that is currently located at
§ 412.23(b) with text that simply refers
the reader to the requirements in
§ 412.29, and move the rest of
§ 412.23(b) and all of § 412.30 to
§ 412.29. To eliminate any unnecessary
repetition, and to update and clarify the
regulations, we are also proposing
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revisions to the language from all three
of the current sections, § 412.23(b),
§ 412.29, and § 412.30. As stated in
current § 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 proposing to revise 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 proposed
requirements would now apply equally
to both rehabilitation hospitals and
rehabilitation units of acute care
hospitals (or CAHs), and would be
located in proposed § 412.29(c)(1). We
believe that 5 calendar years would
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 propose to clarify and
simplify the rules regarding change of
ownership (including mergers) or
leasing, as defined in § 489.18. Changes
of ownership or leasing, as defined in
§ 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, we propose that IRFs in these
situations would retain their excluded
status and would 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
§ 412.29. However, we propose to 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) would
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, we propose that the
new owner(s) would not be required to
wait for 5 calendar years to reapply to
operate a new IRF, but would be
required to complete the initial hospital
or critical access hospital certification
process to participate in Medicare as a
new IRF.
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Further, we also propose to revise the
regulations regarding new IRF beds. The
regulations currently in § 412.30(d),
which require 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 propose to
eliminate these requirements and,
instead, propose in § 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. We propose that 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 propose to 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 proposed
requirement is to prevent IRFs from
decreasing and increasing bed size every
year to avoid having to meet certain
requirements. We propose to 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.
C. Proposed 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 § 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
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change its bed size and square footage.
We are therefore proposing in this
proposed rule to relax the restrictions
on a facility’s ability to increase its bed
size and square footage. Under the
proposed requirements in § 412.25, an
IRF or IPF could 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 within 30 days of
the proposed change and maintains the
required documentation. We note that
any IRF beds that are added to an
existing IRF during the IRF’s cost
reporting period would only be
considered new through the end of that
cost reporting period. Further, the new
IRF beds would be included in the IRF’s
compliance review calculations under
the 60 percent rule specified in
§ 412.29(b) beginning on the date that
they are first added to the IRF.
D. Proposed 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), CMS
implemented new IRF coverage
requirements in § 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
proposed revisions to § 412.23(b) and
§ 412.29, we propose to 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 propose to clarify that, as in the IRF
coverage requirements, IRF
preadmission screenings must be
reviewed and 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 propose to clarify, as we
did in the coverage requirements at
§ 412.622(a)(3)(iv), that close medical
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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.
Finally, we propose to clarify that we
believe that discharge planning, in
addition to assessment of the patient’s
goals and progress toward those goals, is
an integral part of the interdisciplinary
team approach to care that is provided
in IRFs.
The specific proposed changes to the
regulations at part 412 are shown in the
‘‘Regulation Text’’ of this proposed rule
of this proposed rule. We encourage
stakeholder comment on these proposed
changes.
IX. Quality Reporting for Inpatient
Rehabilitation Hospitals
A. 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 Data Reporting
Program (HOP QDRP)), and for
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 Inpatient Rehabilitation Facilities
(IRFs), including freestanding IRF
hospitals and IRF units within
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hospitals. Beginning in FY 2014, section
1886(j)(7)(A)(i) of the Act requires the
Secretary to reduce the increase factor
with respect 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 standardsetting 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 consensusbased 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 with
respect 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
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under the IRF quality reporting program
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.
B. Quality Measures for IRF Quality
Reporting Program for FY 2014
1. General
We propose to adopt 2 quality
measures for FY 2014. These quality
measures are: (1) Urinary CatheterAssociated 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
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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 high priority conditions and
topics, as reflected in the National
Quality Strategy released by the
Secretary (https://www.healthcare.gov/
center/reports/quality03212011a.
html#es) and to ultimately 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.
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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 proposing
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 propose for IRFs
for purposes of calculating the FY 2014
Increase Factor is an application of the
NQF-endorsed measure developed by
the Centers for Disease Control (CDC)
for hospitals entitled (NQF# 0138)
‘‘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. At the time of this proposed
rule, the measure we are applying
(NQF# 0138) is undergoing measure
maintenance review by NQF which may
result in a change in how the CDC
calculates the aggregated data from
using a standard rate for CAUTI, to the
use of a standardized infection ratio
(SIR) of healthcare associated urinary
catheter-associated urinary tract
infections. We propose to adopt the
current measure in this rulemaking
cycle. However, we intend to propose
the adoption of any modifications to
this measure that may result from the
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NQF review process in future
rulemaking. We recognize that the NQF
has endorsed this measure for the
hospital setting, but 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) 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), 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 urinary 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
propose to adopt an application of the
NQF-endorsed CAUTI measure under
the Secretary’s authority to select nonNQF endorsed measures where NQFendorsed measures do not exist for a
specified area or medical topic. While
we are proposing to adopt the measure
under the exception authority provided
in section 1886(j)(7)(D)(ii), we note that
we intend 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.1 Healthcare-associated
UTIs are commonly attributed to
catheterization of the urinary tract.
CAUTI can lead to complications 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
1 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.
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with UTIs.1 Prevention of CAUTIs is
discussed in the CDC/HICPAC
document, Guideline for Prevention of
Catheter-associated Urinary Tract
Infections.2 The NQF endorsed CAUTI
measure we are proposing 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.
The HHS National Action Plan to
Prevent HAI (https://www.hhs.gov/ash/
initiatives/hai/actionplan/)
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-developercontractor on February 4, 2011
(https://www.cms.gov/LTCH-IRFHospice-Quality-Reporting/) also
identified CAUTI as a high priority
quality issue for IRFs.
4. FY 2014 Measure #2: Percent of
Patients With Pressure Ulcers That are
New or Worsened
The second measure we propose 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# 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 2–4 pressure ulcers that are
new or worsened, when assessed at the
time of discharge as compared with the
patient’s condition when it was assessed
at admission. We recognize NQF
endorsement of this measure is limited
to short-stay nursing home patients, but
believe that this measure is highly
relevant and a high priority quality
issue in the care of IRF patients.
Currently, there are no other NQFendorsed 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 are also
unaware of any other measures of
pressure ulcers that have been approved
by voluntary consensus standards
bodies. For these reasons, we propose to
adopt an application of this NQFendorsed measure under the Secretary’s
authority to select non-NQF endorsed
2 Wong ES. Guideline for prevention of catheterassociated urinary tract infections. Infect Control
1981; 2:126–30.
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measures where measures do not exist
for a specified area or medical topic. We
also 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, lifethreatening 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.
5. Potential FY 2014 measure #3: 30-day
Comprehensive All-Cause RiskStandardized Readmission Measure
Avoidable hospital readmissions are a
high priority for HHS and CMS. We are
currently developing setting-specific
risk adjusted 30-day all-condition allcause 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 literature and national
experts and conduct analyses on the
types and comorbidities of the patients
of each setting in order to establish
appropriate risk-adjustment of the
measures as well as 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
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of the clustering of patients and the
sample size in the IRF setting. This
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 invite public comments on the
proposed quality measures for FY 2014:
(1) Urinary Catheter-Associated Urinary
Tract Infections (CAUTI); (2) Pressure
Ulcers that are New or Have Worsened.
We also invite public comment on our
intent to propose a 30-day
Comprehensive All-Cause RiskStandardized Readmission Measure.
C. Data Submission Requirements
1. Proposed Method of Data Submission
for HAI Measure (CAUTI)
We propose to require that IRFs
submit data on the Urinary CatheterAssociated 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 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
(https://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 propose for IRFs to submit the
data elements needed to calculate the
Urinary Catheter-Associated Urinary
Tract Infection measure using the
NHSN’s standard data submission
requirements which requires
submission of data on HAI events on all
patients. Collecting data on all patients
will provide CMS with the most robust,
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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 are
proposing 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
https://www.cdc.gov/nhsn/. We propose
to require IRFs to use the specifications
and data collection tools for the
proposed Urinary Catheter-Associated
Urinary Tract Infections as required by
CDC as of the time that the data is
submitted.
For purposes of calculating the FY
2014 increase factor we propose to
collect data on CAUTI events that occur
from October 1, 2012 through December
31, 2012, the final fiscal quarter of FY
2013. We propose that all subsequent
IRF quality reporting cycles would be
based on a full calendar year (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 welcome
comments on the proposed reporting
cycle for IRFs.
Should this proposed measure be
finalized, further details regarding data
submission and reporting requirements
for this measure will be posted on the
CMS Web site https://www.cms.gov/
LTCH-IRF-Hospice-Quality-Reporting/
by no later than January 31, 2012.
IRFs are also encouraged to visit the
CDC Web site https://www.cdc.gov/nhsn/
in order to review the NHSN
enrollment and reporting requirements.
2. Proposed 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). The
IRF–PAI also includes currently
optional ‘‘quality indicators’’ (QI). To
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support the standardized collection and
calculation of quality measures
specifically focused on IRF services, we
propose to modify the current IRF–PAI
by replacing the current optional
pressure ulcer items in the QI section of
the IRF–PAI with mandatory pressure
ulcer data elements for the proposed
measure.
We propose for IRFs 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 quality of care that is
delivered to Medicare beneficiaries in
the IRF setting, we are proposing to
collect quality data related to new or
worsening pressure ulcers on all
Medicare patients.
We propose 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 is available on the CMS Web
site at https://www.cms.gov/Inpatient
RehabFacPPS/04_IRFPAI.asp#
TopOfPage. The current MDS 3.0
pressure ulcer items evolved as an
outgrowth of CMS’ work to develop a
standardized patient assessment
instrument, now referred to as CARE
(Continuity Assessment Record &
Evaluation).
The CARE assessment instrument was
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
https://www.pacdemo.rti.org). We note
that the MDS data elements were
supported by the National Pressure
Ulcer Advisory Panel (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. If this proposal is finalized,
additional details regarding the use of
modified IRF–PAI data elements to
calculate this measure will be published
on the CMS Web site at https://www.cms.
gov/LTCH-IRF-Hospice-QualityReporting/ by no later than January 31,
2012. We invite comments on these
proposals for the submission of data on
the proposed quality measure for
pressure ulcers.
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3. Potential Method of Data Submission
for the 30-day Comprehensive All-Cause
Risk-Standardized Readmission
Measure
In the FY 2013 rule cycle we
anticipate being able to propose using
claims data otherwise submitted by the
IRF as the data to calculate this
measure. As such, we anticipate not
needing additional reporting to fulfill
the data needs if this measure is
proposed and adopted. We generally
anticipate calculating the measure based
on 3 years of claims data in order to
provide a sufficient number of
discharges to calculate this measure.
D. 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
propose to establish procedures to make
the data available to the public. We do
not intend to make individual patient
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.
E. 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 beginning
with a limited set of measures in the IRF
context, 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. As
noted above, IRFs are currently required
to submit certain data for purposes of
determining payment via the IRF–PAI.
The IRF–PAI currently includes
optional QIs, and, if finalized, it would
include mandatory data elements for
use in the calculation of the pressure
ulcer measure. Only a small number of
IRFs are currently submitting data on
the optional QI data elements.
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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
providers of skilled nursing facility
(SNF) services for short stay nursing
home patients. We invite public
comment on which quality measures
would be considered most feasible and
useful for IRFs to report for purposes of
the FY 2015 payment update.
The quality data on short stay nursing
home patients, which generates the
short stay nursing home measures, are
generated from the MDS 3.0 data
collection vehicle. We are currently
analyzing the quality data collected by
nursing homes through the 3.0 version
of the MDS which was implemented
nationally in nursing homes in October
2010. Nursing homes are reporting data
for long stay residents as well as short
stay residents. We will be analyzing the
performance of these nursing home
measures through the end of 2011 and
expect to have findings on their
performance in the nursing home setting
by early 2012. Next steps would include
analyzing whether any of these
measures would be appropriate for
application in the IRF setting. We would
invite public comment on the
application of some or all of the short
stay nursing home measures listed
below. We are seeking NQF
endorsement of these measures by
August 2011. These measures may also
be found at the NQF Web site https://
www.qualityforum.org/. CMS’ short stay
nursing home measures undergoing
NQF endorsement include NH–010–10
percent of residents who self-report
moderate to severe pain; NH–014–10
percent of residents assessed and
appropriately given the seasonal
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influenza vaccine; NH–016–10 percent
of residents assessed and appropriately
given the seasonal pneumococcal
vaccine and NH–009–10 percentage of
residents on a scheduled pain
medication regimen on admission who
self-report a decrease in pain intensity
or frequency.
If any of the short stay nursing home
measures are appropriate for application
to the IRF setting we would intend to
propose some or all of those measures
in the FY 2013 rulemaking cycle. Any
added measures proposed through the
FY 2013 rulemaking cycle would apply
to the payment determination for FY
2015. We expect that any measures
proposed through the FY 2013
rulemaking cycle would require changes
to the IRF–PAI as a data collection
vehicle and changes to the supporting
information technology (IT)
infrastructure. 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 would intend to propose IRFs
submit any additional or revised IRF–
PAI data elements starting October 1,
2013 through December 31, 2013 for the
FY 2015 payment update. Alternatively,
we are considering and invite public
comment on 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 postacute demonstration under section 5008
of the DRA. We intend to submit a
report to Congress by the end of 2011
with findings from the three year Post
Acute Care-Payment Reform
Demonstration (PAC–PRD) and its use
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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
https://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 ensuring standardized data
collection. We invite comments on the
use of a standardized assessment
instrument such as the CARE
assessment instrument in IRFs to collect
data that would generate additional
quality measures for the IRF quality
reporting program in the future.
We also invite public comment on the
measures and measures topics in Table
13, as well as potential methods for
collecting quality data on the percent of
patients whose individually stated goals
were met and the percent of patients for
whom care delivered was consistent
with patient stated care preferences.
During the NQF endorsement process
for nursing home quality measures
mentioned above, 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. We also
invite other suggestions regarding our
implementation of the IRF quality
measures program.
BILLING CODE 4120–01–P
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F. Proposed New Regulation Text for the
IRF Quality Reporting Program
To implement the new IRF quality
reporting program, we propose to re-
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designate the existing paragraph
§ 412.624(c)(4) as § 412.624(c)(5) and
add a new paragraph § 412.624(c)(4).
The specific proposed changes to the
regulations at part 412 are shown in the
‘‘Regulation Text’’ of this proposed rule
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of this proposed rule. We encourage
stakeholder comment on these proposed
changes.
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X. Collection of Information
Requirements
Under the Paperwork Reduction Act
of 1995, we are required to provide 60day notice in the Federal Register and
solicit public comment before a
collection of information requirement is
submitted to the Office of Management
and Budget (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 proposed rule does not impose
any new information collection
requirements as outlined in the
regulation text. However, this proposed
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 IX.B. of the
preamble of this proposed rule, for
purposes of calculating the FY 2014 IRF
PPS increase factor, we propose that
IRFs submit data on 2 quality measures.
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.
srobinson on DSKHWCL6B1PROD with PROPOSALS4
Catheter Associated Urinary Tract
Infections (CAUTI)
Regarding the collection of data on
the first quality measure, Catheter
Associated Urinary Tract Infections, we
propose to require as the form and
manner of submission for the measure,
CAUTI rate per 1000 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
proposed rule, CMS seeks to impose an
information collection requirement for
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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 https://
www.cdc.gov/nhsn/. IRFs must use the
current specifications and data
collection tools for Catheter Associated
Urinary Tract Infections.
CMS does not currently require IRFs
to report data to NHSN; however,
according to the CDC, there are 26 IRFs
that already submit data to NHSN either
voluntarily or per state mandate. In
order to report data to NHSN, the CDC
requires the facility to enroll into the
NHSN and take specified training. As
per the NHSN Web site, we estimate
that 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 268,800
minutes/4,480 hours (240 minutes ×
1,120 IRFs) at an estimated cost of
$186,323. This cost is estimated using
the average hourly wage of a Registered
Nurse which is reported by the U.S.
Bureau of 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 and 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 7,735.5 hours. The estimated
cost per IRF is $186.14 per year.
Similarly, the estimated total yearly cost
across all IRFs is $213,322. 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.
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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 34,380 hours. The
estimated cost per IRF is $1,247.70 per
year. Similarly, the estimated total
yearly cost across all IRFs is $1,429,864.
These costs are estimated using an
hourly wage for a Registered Nurse of
$41.59.
Pressure Ulcers That Are New or Have
Worsened
As stated in Section IX.C.2 of this
preamble, to support the standardized
collection and calculation of quality
measures specifically focused on IRF
services, we propose to modify the
current Inpatient Rehabilitation FacilityPatient Assessment Instrument (IRF–
PAI) by replacing and harmonizing the
pressure ulcer items with data elements
similar to those collected through the
Minimum Data Set 3.0 (MDS 3.0) used
in nursing homes. Additionally, the
MDS 3.0 pressure ulcer items have been
harmonized with the Continuity
Assessment Record and Evaluation
(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 (DRA) (Pub. L. 109–171, enacted
on February 8, 2006). We believe
modifying the IRF–PAI pressure ulcer
items to be consistent with the
standardized data elements now used in
the MDS 3.0, and supported by the
National Pressure Ulcer Advisory Panel
(NPUAP), would 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
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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. If finalized,
the voluntary data items will be
replaced 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 would decrease 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 are proposing to
require IRFs to complete as part of the
new IRF quality reporting program.
Since the time to complete the items
that we are proposing to remove from
the IRF–PAI is the same as the time to
complete the new items we are
proposing to add, 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–P; Fax: (202) 395–6974; or
E-mail: OIRA_submission@omb.eop.gov.
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XI. Response to Public Comments
Because of the large number of public
comments we normally receive on
Federal Register documents, we are not
able to acknowledge or respond to them
individually. We will consider all
comments we receive by the data and
time specified in the DATES section of
this preamble, and, when we proceed
with a subsequent document, we will
respond to the comments in the
preamble to that document.
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XII. Economic Analyses
A. Regulatory Impact Analysis
1. Introduction
We have examined the impacts of this
proposed 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 Social Security 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 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 Office
of Management and Budget.
2. Statement of Need
This proposed 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 proposes some policy
changes within the statutory discretion
afforded to the Secretary under section
1886(j) of the Act. We believe that the
proposed policy changes would better
align IRF PPS policies with those of
other Medicare payment systems and
would clarify the current IRF payment
regulations. Further, many of the
proposed policy changes are designed to
promote greater flexibility in the IRF
PPS policies.
This proposed rule also implements
section 3401(d) of the Affordable Care
Act, which amended section
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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.
Finally, this proposed rule discusses
the IRF quality measures that we are
proposing to adopt 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 proposed changes for estimated
FY 2012 payments compared to
estimated FY 2011 payments would be
an increase of approximately $120
million (this reflects a $100 million
increase from the update to the payment
rates and a $20 million increase due to
the proposed update to the outlier
threshold amount to increase estimated
outlier payments from approximately
2.7 percent in FY 2011 to 3 percent in
FY 2012).
4. Detailed Economic Analysis
i. Basis and Methodology of Estimates
This proposed rule sets forth updates
of the IRF PPS rates contained in the FY
2011 notice and proposes updates to the
CMG relative weights and average
length of stay values, the facility-level
adjustments, the wage index, and the
outlier threshold for high-cost cases.
This proposed rule also implements a
0.1 percentage point reduction to the
proposed 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 1.2 percent productivity
adjustment to the proposed FY 2012
rebased RPL market basket increase
factor 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 $120 million
in payments to IRF providers (this
reflects a $100 million estimated
increase from the proposed update to
the payment rates and a $20 million
estimated increase due to the proposed
update to the outlier threshold amount
to increase the estimated outlier
payments from approximately 2.7
percent in FY 2011 to 3.0 percent in FY
2012). The impact analysis in Table 14
of this proposed rule represents the
projected effects of the proposed policy
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changes in the IRF PPS for FY 2012
compared with estimated IRF PPS
payments in FY 2011 without the
proposed 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
proposed changes, and we do not make
adjustments for future changes in such
variables as number of discharges or
case-mix.
We note that certain events may
combine to limit the scope or accuracy
of our impact analysis, because such 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 such 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 proposing a number of standard
annual revisions and clarifications
mentioned elsewhere in this proposed
rule (for example, the proposed update
to the wage index and market basket
increase factor used to adjust the
Federal rates). We estimate that these
proposed revisions would increase
payments to IRFs by approximately
$100 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 proposed
rule is estimated to be an increase in
payments to IRFs of $120 million for FY
2012. The market basket increase of
$100 million and the $20 million
increase due to the proposed update to
the outlier threshold amount to increase
estimated outlier payments from
approximately 2.7 percent in FY 2011 to
3.0 percent in FY 2012 would result in
a net change in estimated payments
from FY 2011 to FY 2012 of $120
million.
The effects of the proposed changes
that impact IRF PPS payment rates are
shown in Table 14. The following
proposed changes that affect the IRF
PPS payment rates are discussed
separately below:
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• The effects of the proposed update
to the outlier threshold amount, from
approximately 2.7 to 3.0 percent of total
estimated payments for FY 2012,
consistent with section 1886(j)(4) of the
Act.
• The effects of the 2.8 percent
annual market basket update for FY
2012 (using the proposed rebased RPL
market basket) to IRF PPS payment
rates, as required by section
1886(j)(3)(A)(i) and section 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 1.2 percent productivity
adjustment as required by section
1886(j)(3)(C)(ii)(I) of the Act.
• The effects of applying the budgetneutral labor-related share and wage
index adjustment, as required under
section 1886(j)(6) of the Act.
• The effects of the proposed budgetneutral 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 effects of the proposed budgetneutral changes to the facility-level
adjustment factors, as permitted under
section 1886(j)(3)(A)(v) 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 proposed IRF
quality reporting program, Beginning in
FY 2013.
• The total proposed change in
estimated payments based on the FY
2012 proposed policies relative to
estimated FY 2011 payments without
the proposed policies.
ii. Description of Table 14
The table below categorizes IRFs by
geographic location, including urban or
rural location, and location with respect
to CMS’s nine 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), and by teaching status.
The top row of the table shows the
overall impact on the 1,146 IRFs
included in the analysis.
The next 12 rows of Table 14 contain
IRFs categorized according to their
geographic location, designation as
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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 952
IRFs located in urban areas included in
our analysis. Among these, there are 749
IRF units of hospitals located in urban
areas and 203 freestanding IRF hospitals
located in urban areas. There are 194
IRFs located in rural areas included in
our analysis. Among these, there are 174
IRF units of hospitals located in rural
areas and 20 freestanding IRF hospitals
located in rural areas. There are 376 forprofit IRFs. Among these, there are 314
IRFs in urban areas and 62 IRFs in rural
areas. There are 710 non-profit IRFs.
Among these, there are 589 urban IRFs
and 121 rural IRFs. There are 60
government-owned IRFs. Among these,
there are 49 urban IRFs and 11 rural
IRFs.
The remaining three parts of Table 14
show IRFs grouped by their geographic
location within a region and by teaching
status. First, IRFs located in urban areas
are categorized with respect to their
location within a particular one of the
nine CMS geographic regions. Second,
IRFs located in rural areas are
categorized with respect to their
location within a particular one of the
nine 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. Finally, IRFs are
grouped by teaching status, including
non-teaching IRFs, IRFs with an intern
and resident to 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.
The estimated impacts of each
proposed 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 proposed adjustment to the
outlier threshold amount so that
estimated outlier payments increase
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from approximately 2.7 percent in FY
2011 to 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) shows the estimated
effects of the updates to the facility-level
adjustment factors (rural, LIP, and
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teaching status), in a budget neutral
manner.
Column (9) compares our estimates of
the payments per discharge,
incorporating all of the proposed
changes reflected in this proposed rule
for FY 2012, to our estimates of
payments per discharge in FY 2011
(without these proposed changes).
The average estimated increase for all
IRFs is approximately 1.8 percent. This
estimated increase includes the effects
of the 1.5 percent market basket update,
which is derived from a 2.8 percent
rebased market basket update that is
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)
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of the Act and by a 1.2 percentage point
productivity adjustment as required by
section 1886 (j)(3)(C)(ii)(I) of the Act. It
also includes the 0.3 percent overall
estimated increase (the difference
between 2.7 percent in FY 2011 and 3.0
percent in FY 2012) in estimated IRF
outlier payments from the proposed
update to the outlier threshold amount.
Because we are making the remainder of
the proposed changes outlined in this
proposed rule in a budget-neutral
manner, they would not affect total
estimated IRF payments in the
aggregate. However, as described in
more detail in each section, they would
affect the estimated distribution of
payments among providers.
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iii. Impact of the Proposed Update to the
Outlier Threshold Amount
In the FY 2011 IRF PPS notice (75 FR
42836), we used FY 2009 patient-level
claims data (the best, most complete
data available at that time) to set the
outlier threshold amount for FY 2011 so
that estimated outlier payments would
equal 3 percent of total estimated
payments for FY 2011. For this
proposed rule, we are proposing to
update our analysis using more current
FY 2010 data. Using the updated FY
2010 data, we now estimate that IRF
outlier payments, as a percentage of
total estimated payments for FY 2011,
decreased from 3 percent using the FY
2009 data to approximately 2.7 percent
using the updated FY 2010 data. As a
result, we are proposing to adjust the
outlier threshold amount for FY 2012 to
$11,822, reflecting total estimated
outlier payments equal to 3 percent of
total estimated payments in FY 2012.
The impact of the proposed update to
the outlier threshold amount (as shown
in column 4 of Table 14) is to increase
estimated overall payments to IRFs by
0.3 percent. We do not estimate that any
group of IRFs would experience a
decrease in payments from this
proposed update. We estimate the
largest increase in payments to be a 1.1
percent increase in estimated payments
to rural IRFs in the Pacific region.
iv. Impact of the Proposed Market
Basket Update to the IRF PPS Payment
Rates
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The proposed adjusted market basket
update to the IRF PPS payment rates is
presented in column 5 of Table 14. The
proposed FY 2008-based RPL market
basket update is the same as the FY
2002-based RPL market basket (2.8
percent). In the aggregate the proposed
update would result in a net 1.5 percent
increase in overall estimated payments
to IRFs. This net increase reflects the
estimated rebased RPL market basket
increase factor for FY 2012 of 2.8
percent, 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 and a 1.2 percent productivity
adjustment as required by section
1886(j)(3)(C)(ii)(I) of the Act.
v. Impact of the Proposed CBSA Wage
Index and Labor-Related Share
In column 6 of Table 14, we present
the effects of the proposed budget
neutral update of the wage index and
labor-related share. The changes to the
wage index and the labor-related share
are discussed together because the wage
index is applied to the labor-related
share portion of payments, so the
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changes in the two have a combined
effect on payments to providers. As
discussed in section V.A.4 of this
proposed rule, the labor-related share
decreased from 75.271 percent in FY
2011 to 70.334 percent in FY 2012.
In the aggregate, since these updates
to the wage index and the labor-related
share are applied in a budget-neutral
manner as required under section
1886(j)(6) of the Act, we do not estimate
that these updates will affect overall
estimated payments to IRFs. However,
we estimate that these proposed changes
would have small distributional effects.
For example, we estimate a 0.9 percent
increase in payments to rural IRFs, with
the largest increase in payments of 1.8
percent for rural IRFs in the MidAtlantic region. We estimate the largest
decrease in payments from the proposed
update to the CBSA wage index and
labor-related share to be a 1.1 percent
decrease for urban IRFs in the New
England region.
vi. Impact of the Proposed Update to the
CMG Relative Weights and Average
Length of Stay Values
In column 7 of Table 14, we present
the effects of the proposed budget
neutral update of the CMG relative
weights and average length of stay
values. In the aggregate we do not
estimate that these proposed updates
will affect overall estimated payments to
IRFs. However, we estimate that these
proposed updates will have small
distributional effects, with the largest
increase in payments as a result of these
updates being a 0.2 percent increase to
rural government IRFs. The largest
estimated decrease in payments as a
result of these proposed updates is a 0.1
percent decrease to urban for-profit IRFs
and urban IRFs in the Mountain region
and East South Central region.
vii. Impact of the Proposed Update to
the Rural, LIP, and Teaching Status
Adjustment Factors
In column 8 of Table 14, we present
the effects of the proposed budget
neutral update to the rural, LIP, and
teaching status adjustment factors. In
the aggregate, we do not estimate that
these proposed changes would affect
overall estimated payments to IRFs.
However, we estimate that these
proposed changes would have small
distributional effects. We estimate the
largest increase in payments to be a 1.9
percent increase for IRFs in the rural
Mid-Atlantic region. We estimate the
largest decrease in payments to be a 5.3
percent decrease for teaching IRFs with
resident to ADC ratios of greater than 19
percent.
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viii. Impact of the IPPS Data Matching
Process Changes on the IRF PPS
Calculation of the Low-Income
Percentage Adjustment Factor
In section VII of this proposed rule,
we note the recent revision of the data
matching process that is used to
calculate the disproportionate share
hospital (DSH) patient percentage used
in the acute IPPS DSH adjustment. As
we have stated previously, it is our
policy in calculating the LIP adjustment
factor to use the same disproportionate
share hospital (DSH) patient percentage
used in the acute IPPS DSH adjustment.
This would include the data matching
process. We are not able to provide a
detailed analysis of the impact of the
revised data matching process. That is,
it is not possible to determine whether
IRF LIP adjustment payments will
generally increase or decrease, because
IRFs’ SSI fractions will vary depending
on various factors, including the use of
a more updated MedPAR claims data
file, use of a more updated SSI
eligibility data file, and the other
features of the revised data matching
process. See the FY 2011 IPPS final rule
(75 FR 50663 through 50664) for more
information on the revised data
matching process.
ix. Impact of the Proposed IRF Quality
Reporting Program Beginning in FY
2013
As discussed in section IX.B. of this
proposed rule, we propose to begin
collecting data on 2 quality measures
from October 1, 2012 through December
31, 2012 (FY 2013). These quality
measures are: (1) Catheter Associated
Urinary Tract Infections; and (2)
Pressure Ulcers that are New or Have
Worsened. As discussed in section X. of
this proposed rule, we estimate that
IRFs would incur costs associated with
the collection of these data, which we
detail below.
Catheter Associated Urinary Tract
Infections
As stated in section IX.C.1. of this
proposed rule, we propose to collect
data on the first quality measure,
Catheter Associated Urinary Tract
Infections, through the Centers for
Disease Control (CDC)/National Health
Safety Network (NHSN). CMS does not
currently require IRFs to report data to
NHSN. However, some IRFs submit data
to NHSN either voluntarily or per state
mandate. According to the CDC, 26 IRFs
already report data to NHSN. We
estimate that 1,120 IRFs (1146 minus
the 26 IRFs that are already reporting
data to NHSN) would incur costs for
registering and completing the
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necessary training provided by the CDC
in FY 2012 in preparation for submitting
the data beginning on October 1, 2012
(FY 2013). We estimate that registering
and completing the necessary training of
the required personnel at each IRF
would take 4 hours at a cost of $41.59
per hour, at an estimated cost per IRF
of $166.36 per IRF and a total estimated
cost across all IRFs of $186,323.
Once IRFs begin submitting data to
the NHSN on Catheter Associated
Urinary Tract Infections by October 1,
2012 (FY 2013), they will need to
submit two types of forms in order for
CDC to calculate the CAUTI rate per
1000 urinary catheter days. We estimate
that the first form, the Urinary Tract
Infection (UTI) form, will take 15
minutes per reporting episode per IRF
and that there will be approximately
2.25 NHSN submissions per IRF per
month. Based on this estimate, we
expect for each IRF to expend 33.75
minutes (0.5625) hours per month and
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 7,735.5 hours. The
estimated yearly cost per IRF is $186.14
and the estimated total yearly cost
across all IRFs is $213,322. While CDC
estimates that the second form, the
denominator form used to count daily
the number of patients with an
indwelling catheter device, will take 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 and each
IRF will 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 34,380
hours. The estimated cost per IRF is
$1,247.70 per year and the estimated
total yearly cost across all IRFs is
$1,429,864. 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.
Pressure Ulcers That Are New or Have
Worsened
As stated in Section IX.C.2 of this
proposed rule, we propose to modify the
current IRF–PAI by removing the items
currently in the ‘‘Quality Indicators’’
section and replacing them with
pressure ulcer items similar to elements
from the Minimum Data Set 3.0 (MDS
3.0) nursing home instrument. Since all
IRFs are already required to complete
and transmit IRF–PAIs on all Medicare
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Part A fee-for-service and Medicare Part
C (Medicare Advantage) patients in
order to receive payment from
Medicare, and since 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 cost to IRFs in FY 2012 for
these activities. In addition, since IRFs
are already transmitting the IRF–PAI
form to CMS, we do not estimate any
additional transmission costs associated
with the proposed IRF quality reporting
program. Further, we do not estimate
any additional burden for IRFs to
complete an IRF–PAI with mandatory
quality measures as the IRF–PAI
currently contains a voluntary ‘‘Quality
Indicators’’ section, which will be
replaced 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 would decrease 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 are proposing to
require IRFs to complete as part of the
new IRF quality reporting program.
Since the time to complete the items
that we are proposing to remove from
the IRF–PAI is the same as the time to
complete the new items we are
proposing to add, we estimate no net
change in the amount of time or the
costs associated with completing each
IRF–PAI.
5. Alternatives Considered
Although we have determined that
this proposed rule will not have a
significant economic impact on a
substantial number of small entities, we
have voluntarily prepared a discussion
on the alternatives considered to the IRF
PPS.
Section 1886(j)(3)(C) of the Act
requires the Secretary to update the IRF
PPS payment rates by 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. Thus, we did not consider
alternatives to updating payments using
the estimated RPL market basket
increase factor for FY 2012. In this
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proposed rule, we are proposing to
rebase the RPL market basket for FY
2012, as we typically do every 5 to 7
years, from a 2002 base year to a 2008
base year. We considered not proposing
this rebasing of the RPL market basket
for FY 2012; however, periodically
rebasing the RPL market basket ensures
that it continues to reflect the most
accurate account of the cost of relevant
goods and services. For FY 2012, the
proposed update on the FY 2008-based
RPL market basket is the same as the FY
2002-based RPL market basket (2.8
percent). In accordance with the
recently amended section 1886(j)(3)(C)
of the Act, we are proposing to update
IRF Federal prospective payments in
this proposed rule by 1.5 percent (which
equals the 2.8 percent estimated rebased
RPL market basket increase factor for FY
2012 reduced by 0.1 percentage point,
as required by sections
1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(ii)
of the Act and reduced by a 1.2 percent
productivity adjustment as required by
section 1886(j)(3)(C)(ii)(I) of the Act).
We considered maintaining the
existing CMG relative weights and
average length of stay values for FY
2012. However, in light of recently
available data and our desire to ensure
that the CMG relative weights and
average length of stay values are as
reflective as possible of recent changes
in IRF utilization and case mix, we
believe that it is appropriate to update
the CMG relative weights and average
length of stay values at this time to
ensure that IRF PPS payments continue
to reflect as accurately as possible the
current costs of care in IRFs.
We also considered maintaining the
existing rural, LIP, and teaching status
adjustment factors for FY 2012.
However, as a result of recent changes
in IRF utilization that have occurred
because of changes in the IRF
compliance percentage and the
consequences of recent IRF medical
necessity reviews, we believe that it is
important to update these adjustment
factors at this time to ensure that
payments to IRFs reflect as accurately as
possible the current costs of care in
IRFs. In estimating the proposed
updates to the rural, LIP, and teaching
status adjustment factors, 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.
We considered maintaining the
existing outlier threshold amount for FY
2012. However, the proposed update to
the outlier threshold amount would
have a positive impact on IRF providers
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million in any one year. (For details, see
the Small Business Administration’s
Web site at https://ecfr.gpoaccess.gov/
cgi/t/text/text-idx?c=ecfr&
sid=2465b064ba6965cc1
fbd2eae60854b11&rgn=div8
&view=text&node=13:1.0.1.1.
16.1.266.9&idno=13) (refer to subsector
622). Because we lack data on
individual hospital receipts, we cannot
determine the number of small
proprietary IRFs or the proportion of
IRFs’ revenue that is derived from
Medicare payments. Therefore, we
assume that all IRFs (an estimated 1,146
IRFs that are in our analysis file by
virtue of having submitted at least one
IRF claim to Medicare in FY 2010 that
we are able to match to an IRF–PAI, of
which approximately 60 percent are
nonprofit facilities) are considered small
entities and that Medicare payment
constitutes the majority of their
revenues. The Department of Health and
Human Services generally uses a
revenue or cost impact of 3 to 5 percent
as a significance threshold under the
RFA. There is no negative estimated
impact as a result of this proposed rule
that is within the significance threshold
of 3 to 5 percent. As shown in Table 14,
we estimate that the net revenue impact,
of this proposed rule, on all IRFs is to
increase estimated payments by about
1.8 percent, with an estimated increase
in payments of 3 percent or higher for
some categories of IRFs (such as rural
IRFs in the New England, Mid-Atlantic,
South Atlantic, East North Central, West
North Central, West South Central, and
Mountain) and an estimated decrease in
payments of 3 percent or more for 15
teaching IRFs with resident to ADC
ratios greater than 19 percent. Therefore,
B. Regulatory Flexibility Act Analysis
The RFA requires agencies to analyze
options for regulatory relief of small
entities, if a rule has a significant impact
on a substantial number of small
entities. For purposes of the RFA, small
entities include small businesses,
nonprofit organizations, and small
governmental jurisdictions. Most IRFs
and most other providers and suppliers
are small entities, either by nonprofit
status or by having revenues of $34.5
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6. Accounting Statement
As required by OMB Circular A–4
(available at https://www.whitehouse.
gov/omb/circulars/a004/a-4.pdf), in
Table 15 below, we have prepared an
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accounting statement showing the
classification of the transfers associated
with the provisions of this proposed
rule. This table provides our best
estimate of the increase in Medicare
payments under the IRF PPS as a result
of the proposed changes presented in
this proposed rule based on the data for
1,146 IRFs in our database.
the majority of IRFs will experience a
net positive increase in payments. As a
result, the Secretary has determined that
this proposed rule would not have a
significant impact on a substantial
number of small entities. We present, in
the Alternatives Considered section
(XII.A.5) above, an analysis of the
alternatives we considered for this
proposed IRF PPS rule. Medicare fiscal
intermediaries and carriers are not
considered to be small entities.
Individuals and States are not included
in the definition of a small entity. We
solicit comment on the RFA analysis.
In addition, section 1102(b) of the Act
requires us to prepare a RIA if a rule
may have a significant impact on the
operations of a substantial number of
small rural hospitals. This analysis must
conform to the provisions of section 603
of the RFA. For purposes of section
1102(b) of the Act, we define a small
rural hospital as a hospital that is
located outside of a MSA and has fewer
than 100 beds. Based on the data of the
174 rural units and 20 rural hospitals in
our database of 1,146 IRFs, we estimate
that small rural IRF hospitals would
receive between 2.6 percent and 5.4
percent higher net payments in FY 2012
due to the provisions in this proposed
rule, with no rural IRF hospitals
estimated to receive negative net
payments. Thus, the Secretary has
determined that the rates and policies
set forth in this proposed rule would not
have a significant impact on the
operations of a substantial number of
small rural hospitals.
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payments for FY 2012 unless we
proposed to update the outlier threshold
amount. Thus, we believe that this
update is appropriate for FY 2012.
7. Conclusion
Overall, the estimated payments per
discharge for IRFs in FY 2012 are
projected to increase by 1.8 percent,
compared with those in FY 2011, as
reflected in column 9 of Table 14. IRF
payments are estimated to increase 1.6
percent in urban areas and 3.4 percent
in rural areas, per discharge, compared
with FY 2011. Payments to
rehabilitation units in urban areas are
estimated to increase 1.4 percent per
discharge. Payments to rehabilitation
freestanding hospitals in urban areas are
estimated to increase 1.8 percent per
discharge. Payments to rehabilitation
units in rural areas are estimated to
increase 3.3 percent per discharge,
while payments to freestanding
rehabilitation hospitals in rural areas are
estimated to increase 3.9 percent per
discharge.
Overall, the largest payment increase
is estimated at 5.4 percent for rural IRFs
in the Mid-Atlantic region. The only
payment decreases we estimate are a 0.5
percent decrease, a 1.9 percent decrease,
and a 3.9 percent decrease for teaching
IRFs with resident to ADC ratios less
than 10 percent, 10 to 19 percent, and
greater than 19 percent, respectively.
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and, therefore, on small entities (as
shown in Table 14, column 4). If we
were to maintain the FY 2011 outlier
threshold amount, less outlier cases
would qualify for the additional outlier
payments in FY 2012. Analysis of
updated FY 2010 data indicates that
estimated outlier payments would not
equal 3 percent of estimated total
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C. Unfunded Mandates Reform Act
Analysis
Section 202 of the Unfunded
Mandates Reform Act of 1995 also
requires that agencies assess anticipated
costs and benefits before issuing any
rule whose mandates require spending
in any one year of $100 million in 1995
dollars, updated annually for inflation.
In 2011, that threshold level is
approximately $136 million. This
proposed rule will not impose spending
costs on State, local, or tribal
governments, in the aggregate, or by the
private sector, of $136 million.
XIII. Federalism Analysis
Executive Order 13132 establishes
certain requirements that an agency
must meet when it promulgates a
proposed rule (and subsequent final
rule) that imposes substantial direct
requirement costs on State and local
governments, preempts State law, or
otherwise has Federalism implications.
This proposed rule would have no
substantial direct effect on State and
local governments, preempt State law,
or otherwise have Federalism
implications.
List of Subjects in 42 CFR 412
Administrative practice and
procedure, Health facilities, Medicare,
Puerto Rico, Reporting and
recordkeeping requirements.
For the reasons set forth in the
preamble, the Centers for Medicare &
Medicaid Services proposes to amend
42 CFR chapter IV as follows:
PART 412—PROSPECTIVE PAYMENT
SYSTEMS FOR INPATIENT HOSPITAL
SERVICES
1. The authority citation for part 412
continues to read as follows:
Authority: Sections 1102, 1862, and 1871
of the Social Security Act (42 U.S.C. 1302,
1395y, and 1395hh).
Subpart B—Hospital Services Subject
to and Excluded From the Prospective
Payment Systems for Inpatient
Operating Costs and Inpatient CapitalRelated Costs
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2. Section 412.23 is amended by
revising paragraph (b) to read as follows:
§ 412.23 Excluded hospitals:
Classifications.
*
*
*
*
*
(b) Rehabilitation hospitals. A
rehabilitation hospital or unit must meet
the requirements specified in § 412.29 of
this subpart to be excluded from the
prospective payment systems specified
in § 412.1(a)(1) of this subpart and to be
paid under the prospective payment
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system specified in § 412.1(a)(3) of this
subpart and in subpart P of this part.
*
*
*
*
*
3. Section 412.25 is amended by
revising paragraphs (b) and (e)(2)(ii)(A)
to read as follows:
§ 412.25 Excluded hospital units: Common
requirements.
*
*
*
*
*
(b) Changes in the size of excluded
units. Except in the special cases noted
at the end of this paragraph, changes in
the number of beds or square footage
considered to be part of an excluded
unit under this section are allowed one
time during a cost reporting period if
the hospital notifies its Medicare
contractor and the CMS RO in writing
of the planned change at least 30 days
before the date of the change. The
hospital must maintain the information
needed to accurately determine costs
that are attributable to the excluded
unit. A change in bed size or a change
in square footage may occur at any time
during a cost reporting period and must
remain in effect for the rest of that cost
reporting period. Changes in bed size or
square footage may be made at any time
if these changes are made necessary by
relocation of a unit to permit
construction or renovation necessary for
compliance with changes in Federal,
State, or local law affecting the physical
facility or because of catastrophic events
such as fires, floods, earthquakes, or
tornadoes.
*
*
*
*
*
(e) * * *
(2) * * *
(ii) * * *
(A) For a rehabilitation unit, the
requirements under § 412.29 of this
subpart; or
*
*
*
*
*
4. Section 412.29 is revised to read as
follows:
§ 412.29 Classification criteria for payment
Under the Inpatient Rehabilitation Facility
Prospective Payment System.
To be excluded from the prospective
payment systems described in
§ 412.1(a)(1) of this subpart and to be
paid under the prospective payment
system specified in § 412.1(a)(3) of this
subpart, an inpatient rehabilitation
hospital or an inpatient rehabilitation
unit of a hospital (otherwise referred to
as an IRF) must meet the following
requirements:
(a) Have (or be part of a hospital that
has) a provider agreement under part
489 of this chapter to participate as a
hospital.
(b) Except in the case of a ‘‘new’’ IRF
or ‘‘new’’ IRF beds, as defined in
paragraph (c) of this section, an IRF
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must show that, during its most recent,
consecutive, and appropriate 12-month
time period (as defined by CMS or the
Medicare contractor), it served an
inpatient population that meets the
following criteria:
(1) For cost reporting periods
beginning on or after July 1, 2004, and
before July 1, 2005, the IRF served an
inpatient population of whom at least
50 percent, and for cost reporting
periods beginning on or after July 1,
2005, the IRF served an inpatient
population of whom at least 60 percent
required intensive rehabilitation
services for treatment of one or more of
the conditions specified at paragraph
(b)(2) of this section. A patient with a
comorbidity, as defined at § 412.602 of
this part, may be included in the
inpatient population that counts toward
the required applicable percentage if—
(i) The patient is admitted for
inpatient rehabilitation for a condition
that is not one of the conditions
specified in paragraph (b)(2) of this
section;
(ii) The patient has a comorbidity that
falls in one of the conditions specified
in paragraph (b)(2) of this section; and
(iii) The comorbidity has caused
significant decline in functional ability
in the individual that, even in the
absence of the admitting condition, the
individual would require the intensive
rehabilitation treatment that is unique to
inpatient rehabilitation facilities paid
under subpart P of this part and that
cannot be appropriately performed in
another care setting covered under this
title.
(2) List of conditions.
(i) Stroke.
(ii) Spinal cord injury.
(iii) Congenital deformity.
(iv) Amputation.
(v) Major multiple trauma.
(vi) Fracture of femur (hip fracture).
(vii) Brain injury.
(viii) Neurological disorders,
including multiple sclerosis, motor
neuron diseases, polyneuropathy,
muscular dystrophy, and Parkinson’s
disease.
(ix) Burns.
(x) Active, polyarticular rheumatoid
arthritis, psoriatic arthritis, and
seronegative arthropathies resulting in
significant functional impairment of
ambulation and other activities of daily
living that have not improved after an
appropriate, aggressive, and sustained
course of outpatient therapy services or
services in other less intensive
rehabilitation settings immediately
preceding the inpatient rehabilitation
admission or that result from a systemic
disease activation immediately before
admission, but have the potential to
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improve with more intensive
rehabilitation.
(xi) Systemic vasculidities with joint
inflammation, resulting in significant
functional impairment of ambulation
and other activities of daily living that
have not improved after an appropriate,
aggressive, and sustained course of
outpatient therapy services or services
in other less intensive rehabilitation
settings immediately preceding the
inpatient rehabilitation admission or
that result from a systemic disease
activation immediately before
admission, but have the potential to
improve with more intensive
rehabilitation.
(xii) Severe or advanced osteoarthritis
(osteoarthrosis or degenerative joint
disease) involving two or more major
weight bearing joints (elbow, shoulders,
hips, or knees, but not counting a joint
with a prosthesis) with joint deformity
and substantial loss of range of motion,
atrophy of muscles surrounding the
joint, significant functional impairment
of ambulation and other activities of
daily living that have not improved after
the patient has participated in an
appropriate, aggressive, and sustained
course of outpatient therapy services or
services in other less intensive
rehabilitation settings immediately
preceding the inpatient rehabilitation
admission but have the potential to
improve with more intensive
rehabilitation. (A joint replaced by a
prosthesis no longer is considered to
have osteoarthritis, or other arthritis,
even though this condition was the
reason for the joint replacement.)
(xiii) Knee or hip joint replacement,
or both, during an acute hospitalization
immediately preceding the inpatient
rehabilitation stay and also meet one or
more of the following specific criteria:
(A) The patient underwent bilateral
knee or bilateral hip joint replacement
surgery during the acute hospital
admission immediately preceding the
IRF admission.
(B) The patient is extremely obese
with a Body Mass Index of at least 50
at the time of admission to the IRF.
(C) The patient is age 85 or older at
the time of admission to the IRF.
(c) In the case of new IRFs (as defined
in paragraph (c)(1) of this section) or
new IRF beds (as defined in paragraph
(c)(2)of this section), the IRF must
provide a written certification that the
inpatient population it intends to serve
meets the requirements of paragraph (b)
of this section. This written certification
will apply until the end of the IRF’s first
full 12-month cost reporting period or,
in the case of new IRF beds, until the
end of the cost reporting period during
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which the new beds are added to the
IRF.
(1) New IRFs. An IRF hospital or IRF
unit is considered new if it has not been
paid under the IRF PPS in subpart P of
this part for at least 5 calendar years. A
new IRF will be considered new from
the point that it first participates in
Medicare as an IRF until the end of its
first full 12-month cost reporting period.
(2) New IRF beds. Any IRF beds that
are added to an existing IRF must meet
all applicable State Certificate of Need
and State licensure laws. New IRF beds
may be added one time at any point
during a cost reporting period and will
be considered new for the rest of that
cost reporting period. A full 12-month
cost reporting period must elapse
between the delicensing or
decertification of IRF beds in an IRF
hospital or IRF unit and the addition of
new IRF beds to that IRF hospital or IRF
unit. Before an IRF can add new beds,
it must receive written approval from
the appropriate CMS RO, so that the
CMS RO can verify that a full 12-month
cost reporting period has elapsed since
the IRF has had beds delicensed or
decertified. New IRF beds are included
in the compliance review calculations
under paragraph (b) of this section from
the time that they are added to the IRF.
(3) Change of Ownership or Leasing.
An IRF hospital or IRF unit that
undergoes a change of ownership or
leasing, as defined in § 489.18 of this
chapter, retains its excluded status and
will continue to be paid under the
prospective payment system specified
in § 412.1(a)(3) of this subpart before
and after the change of ownership or
leasing if the new owner(s) of the IRF
accept assignment of the previous
owners’ Medicare provider agreement
and the IRF continues to meet all of the
requirements for payment under the IRF
prospective payment system. If the new
owner(s) do not accept assignment of
the previous owners’ Medicare provider
agreement, the IRF is considered to be
voluntarily terminated and the new
owner(s) may re-apply to participate in
the Medicare program. If the IRF does
not continue to meet all of the
requirements for payment under the IRF
prospective payment system, then the
IRF loses its excluded status and is paid
according to the prospective payment
systems described in § 412.1(a)(1).
(4) Mergers. If an IRF hospital (or a
hospital with an IRF unit) merges with
another hospital and the owner(s) of the
merged hospital accept assignment of
the IRF hospital’s provider agreement
(or the provider agreement of the
hospital with the IRF unit), then the IRF
hospital or IRF unit retains its excluded
status and will continue to be paid
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under the prospective payment system
specified in § 412.1(a)(3) of this subpart
before and after the merger, as long as
the IRF hospital or IRF unit continues
to meet all of the requirements for
payment under the IRF prospective
payment system. If the owner(s) of the
merged hospital do not accept
assignment of the IRF hospital’s
provider agreement (or the provider
agreement of the hospital with the IRF
unit), then the IRF hospital or IRF unit
is considered voluntarily terminated
and the owner(s) of the merged hospital
may reapply to the Medicare program to
operate a new IRF.
(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. Each
prospective patient’s preadmission
screening must be reviewed and
approved by a rehabilitation physician
prior to the patient’s admission to the
IRF.
(e) Ensure that the 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.
(f) Furnish, through the use of
qualified personnel, rehabilitation
nursing, physical therapy, and
occupational therapy, plus, as needed,
speech-language pathology, social
services, psychological services
(including neuropsychological services),
and orthotic and prosthetic services.
(g) Have a director of rehabilitation
who—
(1) Provides services to the IRF
hospital and its inpatients on a full-time
basis or, in the case of a rehabilitation
unit, at least 20 hours per week;
(2) Is a doctor of medicine or
osteopathy;
(3) Is licensed under State law to
practice medicine or surgery; and
(4) Has had, after completing a oneyear hospital internship, at least 2 years
of training or experience in the medicalmanagement of inpatients requiring
rehabilitation services.
(h) Have a plan of treatment for each
inpatient that is established, reviewed,
and revised as needed by a physician in
consultation with other professional
personnel who provide services to the
patient.
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(i) Use a coordinated interdisciplinary
team approach in the rehabilitation of
each inpatient, as documented by the
periodic clinical entries made in the
patient’s medical record to note the
patient’s status in relationship to goal
attainment and discharge plans, and
that team conferences are held at least
once per week to determine the
appropriateness of treatment.
(j) Retroactive adjustments. If a new
IRF (or new beds that are added to an
existing IRF) are excluded from the
prospective payment systems specified
in § 412.1(a)(1) of this subpart and paid
under the prospective payment system
specified in § 412.1(a)(3) of this subpart
for a cost reporting period under
paragraph (c) of this section, but the
inpatient population actually treated
during that period does not meet the
requirements of paragraph (b) of this
section, we adjust payments to the IRF
retroactively in accordance with the
provisions in § 412.130 of this subpart.
§ 412.30
[Removed and Reserved]
5. Section 412.30 is removed and
reserved.
Subpart P—Prospective payment for
inpatient rehabilitation hospitals and
rehabilitation units
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6. Section 412.624 is amended by:
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A. Re-designating paragraph (c)(4) as
(c)(5).
B. Adding a new paragraph (c)(4).
The addition reads as follows:
§ 412.624 Methodology for calculating the
Federal prospective payment rates.
*
*
*
*
*
(c) * * *
(4) Applicable increase factor for
fiscal year 2014 and for subsequent
fiscal years. Subject to the provisions of
paragraphs (c)(4)(i) and (c)(4)(ii) of this
section, the applicable increase factor
for fiscal year 2014 and for subsequent
years for updating the standard payment
conversion factor is the increase factor
described in paragraph (a)(3) of this
section, including adjustments
described in paragraph (d) of this
section as appropriate.
(i) In the case of an IRF that is paid
under the prospective payment system
specified in § 412.1(a)(3) of this part that
does not submit quality data to CMS, in
the form and manner specified by CMS,
the applicable increase factor specified
in paragraph (a)(3) of this section is
reduced by 2 percentage points.
(ii) Any reduction of the increase
factor will apply only to the fiscal year
involved and will not be taken into
account in computing the applicable
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increase factor for a subsequent fiscal
year.
*
*
*
*
*
Authority: (Catalog of Federal Domestic
Assistance Program No. 93.773, Medicare—
Hospital Insurance; and Program No. 93.774,
Medicare—Supplementary Medical
Insurance Program)
Dated: March 18, 2011.
Donald M. Berwick,
Administrator, Centers for Medicare &
Medicaid Services.
Approved: April 18, 2011.
Kathleen Sebelius,
Secretary.
The following addendum will not
appear in the Code of Federal
Regulations.
Addendum
In this addendum, we provide the wage
index tables referred to throughout the
preamble to this proposed rule. The tables
presented below are as follows:
Table A.—Proposed Inpatient
Rehabilitation Facility Wage Index for Urban
Areas for Discharges Occurring from October
1, 2011 through September 30, 2012.
Table B—Proposed Inpatient Rehabilitation
Facility Wage Index for Rural Areas for
Discharges Occurring from October 1, 2011
through September 30, 2012.
BILLING CODE 4120–01–P
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BILLING CODE 4120–01–C
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Agencies
[Federal Register Volume 76, Number 83 (Friday, April 29, 2011)]
[Proposed Rules]
[Pages 24214-24289]
From the Federal Register Online via the Government Printing Office [www.gpo.gov]
[FR Doc No: 2011-10159]
[[Page 24213]]
Vol. 76
Friday,
No. 83
April 29, 2011
Part IV
Department of Health and Human Services
-----------------------------------------------------------------------
Centers for Medicare & Medicaid Services
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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;
Proposed Rule
Federal Register / Vol. 76 , No. 83 / Friday, April 29, 2011 /
Proposed Rules
[[Page 24214]]
-----------------------------------------------------------------------
DEPARTMENT OF HEALTH AND HUMAN SERVICES
Centers for Medicare & Medicaid Services
42 CFR Part 412
[CMS-1349-P]
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: Proposed rule.
-----------------------------------------------------------------------
SUMMARY: This proposed rule would 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 proposed rule would also update the
prospective payment rates for inpatient rehabilitation facilities
(IRFs) for Federal fiscal year 2012 (for discharges occurring on or
after October 1, 2011 and on or before September 30, 2012) as required
by the Social Security Act (the Act). 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 proposing to consolidate,
clarify, and revise 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 proposing to amend 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: To be assured consideration, comments must be received at one of
the addresses provided below, no later than 5 p.m. on June 21, 2011.
ADDRESSES: In commenting, please refer to file code CMS-1349-P. Because
of staff and resource limitations, we cannot accept comments by
facsimile (FAX) transmission.
You may submit comments in one of four ways (please choose only one
of the ways listed):
1. Electronically. You may submit electronic comments on this
regulation to https://www.regulations.gov. Follow the ``Submit a
comment'' instructions.
2. By regular mail. You may mail written comments to the following
address only: Centers for Medicare & Medicaid Services, Department of
Health and Human Services, Attention: CMS-1349-P, P.O. Box 8016,
Baltimore, MD 21244-8016.
Please allow sufficient time for mailed comments to be received
before the close of the comment period.
3. By express or overnight mail. You may send written comments to
the following address only: Centers for Medicare & Medicaid Services,
Department of Health and Human Services, Attention: CMS-1349-P, Mail
Stop C4-26-05, 7500 Security Boulevard, Baltimore, MD 21244-1850.
4. By hand or courier. If you prefer, you may deliver (by hand or
courier) your written comments before the close of the comment period
to either of the following addresses: a. For delivery in Washington,
DC--Centers for Medicare & Medicaid Services, Department of Health and
Human Services, Room 445-G, Hubert H. Humphrey Building, 200
Independence Avenue, SW., Washington, DC 20201.
(Because access to the interior of the Hubert H. Humphrey Building
is not readily available to persons without Federal government
identification, commenters are encouraged to leave their comments in
the CMS drop slots located in the main lobby of the building. A stamp-
in clock is available for persons wishing to retain a proof of filing
by stamping in and retaining an extra copy of the comments being
filed.)
b. For delivery in Baltimore, MD--Centers for Medicare & Medicaid
Services, Department of Health and Human Services, 7500 Security
Boulevard, Baltimore, MD 21244-1850.
If you intend to deliver your comments to the Baltimore address,
please call telephone number (410) 786-7195 in advance to schedule your
arrival with one of our staff members.
Comments mailed to the addresses indicated as appropriate for hand
or courier delivery may be delayed and received after the comment
period.
Submission of comments on paperwork requirements. You may submit
comments on this document's paperwork requirements by following the
instructions at the end of the ``Collection of Information
Requirements'' section in this document.
For information on viewing public comments, see the beginning of
the SUPPLEMENTARY INFORMATION section.
FOR FURTHER INFORMATION CONTACT:
Gwendolyn Johnson, (410) 786-6954, for general information about the
proposed rule.
Hillary Loeffler, (410) 786-0456, for information about the proposed
payment rates.
Stella R. Mandl, (410) 786-2547, for information about the proposed
quality reporting program.
Susanne Seagrave, (410) 786-0044, for information about the proposed
payment policies.
SUPPLEMENTARY INFORMATION:
Inspection of Public Comments: All comments received before the
close of the comment period are available for viewing by the public,
including any personally identifiable or confidential business
information that is included in a comment. We post all comments
received before the close of the comment period on the following Web
site as soon as possible after they have been received: https://www.regulations.gov. Follow the search instructions on that Web site to
view public comments.
Comments received timely will also be available for public
inspection as they are received, generally beginning approximately 3
weeks after publication of a document, at the headquarters of the
Centers for Medicare & Medicaid Services, 7500 Security Boulevard,
Baltimore, Maryland 21244, Monday through Friday of each week from 8:30
a.m. to 4 p.m. To schedule an appointment to view public comments,
phone 1-800-743-3951.
Table of Contents
To assist readers in referencing sections contained in this
document, we are providing the following table of contents.
I. Background
A. Historical Overview of the Inpatient Rehabilitation Facility
Prospective Payment System (IRF PPS)
B. Provisions of the Affordable Care Act Affecting the IRF PPS
in FY 2012 and Beyond
C. Operational Overview of the Current IRF PPS
II. Summary of Provisions of the Proposed Rule
A. Proposed Updates to the IRF Federal Prospective Payment Rates
for Federal Fiscal Year (FY) 2012
B. Proposed Revisions to Existing Regulation Text
III. Proposed Update to the Case-Mix Group (CMG) Relative Weights
and Average Length of Stay Values for FY 2012
[[Page 24215]]
IV. Proposed Updates to the Facility-Level Adjustment Factors for FY
2012
A. Proposed Updates to the IRF Facility-Level Adjustment Factors
B. Budget Neutrality Methodology for the Proposed Updates to the
IRF Facility-Level Adjustment Factors
C. Proposed Policy for Temporary Cap Adjustments to Reflect
Interns and Residents Displaced Due to Closure of IRFs or IRF
Residency Training Programs
1. Background
2. Proposed FTE Intern and Resident Temporary Cap Adjustment
3. Proposed Temporary Adjustment to the FTE Cap to Reflect
Interns and Residents Displaced Due to IRF Closure
4. Proposed Temporary Adjustment to the FTE Cap to Reflect
Interns and Residents Displaced Due to a Residency Program Closure
V. Proposed FY 2012 IRF PPS Federal Prospective Payment Rates
A. Proposed Market Basket Increase Factor, Productivity
Adjustment, and Labor-Related Share for FY 2012
1. Proposed Rebasing of the RPL Market Basket for FY 2012
2. Proposed Productivity Adjustment
3. Proposed Calculation of the IRF PPS Market Basket Increase
Factor for FY 2012
4. Proposed Calculation of the Labor-Related Share for FY 2012
B. Proposed Area Wage Adjustment
C. Description of the Proposed IRF Standard Conversion Factor
and Payment Rates for FY 2012
D. Example of the Methodology for Adjusting the Proposed Federal
Prospective Payment Rates
VI. Proposed Update to Payments for High-Cost Outliers Under the IRF
PPS
A. Proposed Update to the Outlier Threshold Amount for FY 2012
B. Proposed Update to the IRF Cost-to-Charge Ratio Ceilings
VII. Impact of the IPPS Data Matching Process Changes on the IRF PPS
Calculation of the Low-Income Percentage Adjustment Factor
VIII. Proposed Updates to the Policies in 42 CFR 412
A. Proposed Consolidation of the Requirements for Rehabilitation
Hospitals and Rehabilitation Units
B. Proposed Revisions to the Regulations at Proposed Sec.
412.29
C. Proposed Revisions to the Requirements for Changes in Bed
Size and Square Footage
D. Proposed Revisions to Enhance Consistency Between the IRF
Coverage and Payment Requirements
IX. Proposed Quality Reporting Program for IRFs
A. Background and Statutory Authority
B. Quality Measures for IRF Quality Reporting Program for FY
2014
1. General
2. Considerations in the Selection of the Proposed 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
C. Data Submission Requirements
1. Proposed Method of Data Submission for HAI Measure (CAUTI)
2. Proposed 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
D. Public Reporting
E. Quality Measures for Future Consideration for Determination
of Increase Factors for Future Fiscal Year Payments
F. Proposed New Regulation Text for the IRF Quality Reporting
Program
X. Collection of Information Requirements
XI. Response to Public Comments
XII. Economic Analyses
A. Regulatory Impact Analysis
1. Introduction
2. Statement of Need
3. Overall Impacts
4. Detailed Economic Analysis
5. Alternatives Considered
6. Accounting Statement
7. Conclusion
B. Regulatory Flexibility Act Analysis
C. Unfunded Mandates Reform Act Analysis
XIII. Federalism Analysis
Regulation Text
Addendum
Acronyms
To assist the reader, we are listing the acronyms used and their
corresponding meaning in alphabetical order.
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
CDC Centers for Disease Control and Prevention
CBSA Core-Based Statistical Area
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 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
A. 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
[[Page 24216]]
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 five 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 Website as a primary information resource for
the IRF PPS. The Web site URL is https://www.cms.gov/InpatientRehabFacPPS/ and may be accessed to download or 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
proposed 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
[[Page 24217]]
revised FY 2008 Federal prospective payment rates are available on the
CMS Web site at https://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 proposed 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 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 https://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) 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 proposed 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).
B. Provisions of the Affordable Care Act Affecting the IRF PPS in FY
2012 and Beyond
The Affordable Care Act included several provisions that affect 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) (providing for a ``productivity'' adjustment'' for
fiscal year 2012 and each subsequent fiscal year). The proposed
productivity adjustment for FY 2012 is discussed in section V.A.6. of
this proposed rule, and the 0.1 percentage point adjustment is
discussed in section V.A of this proposed 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 such 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),
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) will require
application
[[Page 24218]]
of a 2 percentage point reduction of 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 such
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. In so doing, the Secretary must ensure that
IRFs have the opportunity to review any such data prior to its release
to the public. Future rulemaking will address these public reporting
obligations.
The proposed quality reporting program for IRFs, in accordance with
section 1886(j)(7) of the Act, is discussed in detail in section IX. of
this proposed rule.
C. 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
https://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 Administrative Contractor (MAC). Claims submitted to
Medicare must comply with both ASCA and HIPAA.
Section 3 of the ASCA amends section 1862(a) of the Act by adding
paragraph (22) which requires the Medicare program, subject to section
1862(h) of the Act, to deny payment under Part A or Part B for any
expenses for items or services ``for which a claim is submitted other
than in an electronic form specified by the Secretary.'' Section
1862(h) of the Act, in turn, provides that the Secretary shall waive
such denial in situations in which there is no method available for the
submission of claims in an electronic form or the entity submitting the
claim is a small provider. In addition, the Secretary also has the
authority to waive such denial ``in such unusual cases as the Secretary
finds appropriate.'' For more information, see the ``Medicare Program;
Electronic Submission of Medicare Claims'' final rule (70 FR 71008,
November 25, 2005). CMS instructions for the limited number of Medicare
claims submitted on paper are available at https://www.cms.gov/manuals/downloads/clm104c25.pdf.
Section 3 of the ASCA operates in the context of the administrative
simplification provisions of HIPAA, which include, among others, the
requirements for transaction standards and code sets codified in 45
CFR, parts 160 and 162, subparts A and I through R (generally known as
the Transactions Rule). The Transactions Rule requires covered
entities, including covered healthcare providers, to conduct covered
electronic transactions according to the applicable transaction
standards. (See the CMS program claim memoranda at https://www.cms.gov/ElectronicBillingEDITrans/ and listed in the addenda to the Medicare
Intermediary Manual, Part 3, section 3600).
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 this proposed rule, we are proposing 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 are also proposing
to revise existing regulations text for the purpose of updating and
providing greater clarity. These proposals are as follows:
A. 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 this proposed rule.
[[Page 24219]]
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 such
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 this proposed rule.
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 this proposed rule.
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 this proposed rule.
Calculate the IRF Standard Payment Conversion Factor for
FY 2012, as discussed in section V. of this proposed rule.
Update the outlier threshold amount for FY 2012, as
discussed in section VI. of this proposed rule.
Update the cost-to-charge ratio (CCR) ceiling and urban/
rural average CCRs for FY 2012, as discussed in section VI. of this
proposed rule.
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 VII. of this proposed rule.
Implement the IRF quality reporting program provisions of
section 1886(j)(7) of the Act, as discussed in section IX. of this
proposed rule.
B. Proposed Revisions to Existing Regulation Text
In this proposed rule, we are proposing to revise the existing
requirements at Sec. 412.25(b), Sec. 412.25(b)(1), Sec.
412.25(b)(2), Sec. 412.25(b)(3), and Sec. 412.25(e)(2)(ii)(A) that
apply to all units that are excluded from the inpatient prospective
payment system (IPPS), as described in section VIII. of this proposed
rule. These proposed revisions would affect IRFs and inpatient
psychiatric facilities (IPFs).
We are also proposing 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 this proposed rule.
Finally, we are proposing 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. Proposed 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 this proposed rule, we propose 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 are proposing 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 FY 2010
IRF cost report data are available for analysis, but the majority of
the FY 2010 IRF claims data are available for analysis.
In this proposed rule, we propose to use the same methodology that
we used to update the CMG relative weights and average length of stay
values in the FY 2009 IRF PPS final rule (73 FR 46370), which we also
used to update the CMG relative weights and average length of stay
values in 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 used to calculate the
CMG relative weights for this proposed rule 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 are proposing to
update the CMG relative weights for FY 2012 in such 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 proposed budget neutrality factor for use in updating
the FY 2012 CMG relative weights, we propose to use the following
steps:
Step 1. Calculate the estimated total amount of IRF PPS payments
for FY 2012 (with no proposed changes to the CMG relative weights).
Step 2. Calculate the estimated total amount of IRF PPS payments
for FY 2012 by applying the proposed 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 proposed budget neutrality factor
(0.9989) that would maintain the same total estimated aggregate
payments in FY 2012 with and without the proposed changes to the CMG
relative weights.
Step 4. Apply the proposed budget neutrality factor (0.9989) to the
FY 2011 IRF PPS standard payment amount after the application of the
budget-neutral wage adjustment factor.
In section V.C. of this proposed rule, we discuss the proposed use
of the existing methodology to calculate the standard payment
conversion factor for FY 2012.
Table 1, ``Proposed Relative Weights and Average Length of Stay
Values for Case-Mix Groups,'' presents the CMGs, the comorbidity tiers,
the proposed corresponding relative weights, and the proposed average
length of stay values for each CMG and tier for FY 2012. The average
length of stay for each CMG is used to determine when an IRF
[[Page 24220]]
discharge meets the definition of a short-stay transfer, which results
in a per diem case level adjustment. The proposed relative weights and
average length of stay values shown in Table 1 are subject to change
for the final rule if more recent data become available for use in
these analyses.
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Generally, updates to the CMG relative weights result in some
increases and some decreases to the CMG relative weight values. Table 2
shows how the application of the proposed revisions for FY 2012 would
affect particular CMG relative weight values, which affect the overall
distribution of payments within CMGs and tiers. Note that, because we
propose to implement the CMG relative weight revisions in a budget
neutral manner (as described above), total estimated aggregate payments
to IRFs for FY 2012 would not be affected as a result of the CMG
relative weight revisions. However, the proposed revisions would affect
the distribution of payments within CMGs and tiers.
[GRAPHIC] [TIFF OMITTED] TP29AP11.007
As Table 2 shows, 97 percent of all IRF cases are in CMGs and tiers
that would experience less than a 5 percent change (either increase or
decrease) in the CMG relative weight value as a result of the proposed
revisions for FY 2012. The largest increase in the proposed CMG
relative weight values that affects a particularly large number of IRF
discharges is a 1.7 percent increase in the CMG relative weight value
for CMG A0704--Fracture of Lower Extremity with a motor score of less
than 28.15--in the ``no comorbidity'' tier. In the FY 2010 data, 24,162
IRF discharges were classified into this CMG and tier. The largest
decrease in a CMG relative weight value that affects a particularly
large number of IRF discharges is a 0.7 percent decrease in the CMG
relative weight for CMG A0110--Stroke, with a motor score of less than
22.35 and a patient age of less than 84.5 years in the ``no
comorbidity'' tier. In the FY 2010 IRF claims data, this change affects
16,975 cases.
[[Page 24225]]
Given the changes in IRFs' case mix over time, we believe that it
is important to update the CMG relative weights and average length of
stay (LOS) values periodically to continue to reflect the trends in IRF
patient populations. As we have more recent data that better reflect
IRFs' case mix at this time, we propose the updates described in this
section.
IV. Proposed Updates to the Facility-Level Adjustment Factors for FY
2012
A. Proposed 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 three 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 three-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.
Though 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 estimate
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 unusually large year-to-year fluctuations in the
teaching status adjustment factors were the result of a weighting
methodology that we have been applying to the regression analysis used
to estimate the facility-level adjustment factors since the
implementation of the IRF PPS. This weighted regression methodology
assigns greater weight to some facilities than to others and, in
effect, exaggerates the differences among different types of IRF
facilities. While this weighted regression methodology was appropriate
when the IRF PPS was first being developed because we had limited data
on which to base the initial facility-level adjustment factors, we
believe that a more appropriate and conservative approach for the
current IRF PPS is to assign equal weight to all facilities in the
regression analysis that is used to estimate all of the IRF facility-
level adjustment factors (that is, the rural, LIP, and teaching status
adjustment factors). Thus, we propose 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 unweighted regression analysis. The primary effect of the proposed
change in methodology is to stabilize all three of the facility-level
adjustment factors (that is, the rural, the LIP, and the teaching
status adjustment factor) over time. However, the proposed change in
the methodology also has a relatively large effect on our estimate of
the LIP adjustment factor that we discuss in this section.
To update the facility-level adjustment factors for FY 2012, we
propose using updated data (FY 2008, FY 2009, and 2010 IRF claims data
and the corresponding year's cost report data or, if unavailable, the
most recent available cost report data). To analyze the updated data,
we propose to use a revised methodology from the methodology that we
used to update the facility-level adjustment factors in the FY 2010 IRF
PPS final rule (74 FR 39762). The revised methodology would remove a
weighting factor from the regression analysis and, instead, assign
equal weight to all facilities in the regression analysis. Based on
analysis of the updated data using the proposed unweighted regression
analysis and the 3-year moving average approach, we estimate that IRF
PPS payments to IRFs in rural areas would be increased by 18.7 percent
for FY 2012. In addition, to account for the percentage of low-income
patients that an IRF treats, we estimate that IRF PPS payments for FY
2012 would be adjusted using an updated LIP adjustment formula of (1 +
disproportionate share hospital (DSH) patient percentage) raised to the
power of (0.1897), where the--
[GRAPHIC] [TIFF OMITTED] TP29AP11.008
Note that the proposed LIP adjustment factor of 0.1897 is
substantially lower than the current LIP adjustment factor of 0.4613
due to the use of updated data and the proposed use of the unweighted
regression methodology, which would give equal weight to all facilities
in the regression. Finally, we estimate that IRF PPS payments to
eligible IRFs that qualify for the teaching status adjustment will be
adjusted by the following updated formula for FY 2012: (1 + full-time
equivalent (FTE) interns and residents/average daily census) raised to
the power of (0.4888). To calculate the proposed updates to the rural,
LIP, and teaching status adjustment factors for FY 2012, we used the
following steps:
[Steps 1 and 2 are performed independently for each of 3 years of IRF
claims data: FY 2008, FY 2009, and FY 2010]
Step 1. Calculate the average cost per case for each IRF in the IRF
claims data.
Step 2. Use logarithmic regression analysis on average cost per
case to compute the coefficients for the rural, LIP, and teaching
status adjustments. For FY 2012, we are proposing to update the
logarithmic regression analysis so that we no longer apply weights to
the analysis. The proposed unweighted regression analysis gives equal
weight to all facilities in the regression analysis.
Step 3. Calculate a simple mean for each of the coefficients across
the 3 years of data using logarithms for the LIP and teaching status
adjustment coefficients (because they are continuous variables), but
not for the rural adjustment coefficient (because the rural variable is
either zero (if not rural) or 1 (if rural)). To compute the proposed
[[Page 24226]]
LIP and teaching status adjustment factors, we convert these factors
back out of the logarithmic form.
The proposed adjustment factors are subject to change for the final
rule if more recent data become available for use in these analyses.
B. Budget Neutrality Methodology for the Proposed Updates to the IRF
Facility-Level Adjustment Factors
Consistent with the way that we implemented changes to the IRF
facility-level adjustment factors (the rural, LIP, and teaching status
adjustment factors) in the FY 2006 and FY 2010 IRF PPS final rules (70
FR 47880, 70 FR 57166, and 74 FR 39762), we propose to make changes to
the rural, LIP, and teaching status adjustment factors for FY 2012 in
such a way that total estimated aggregate payments to IRFs for FY 2012
would be the same with or without the proposed changes (that is, in a
budget neutral manner) by applying budget neutrality factors for each
of these three changes to the standard payment amount. To calculate the
proposed budget neutrality factors used to update the rural, LIP, and
teaching status adjustment factors, we propose to use the following
steps:
Step 1. Using the most recent available data (currently FY 2010),
calculate the estimated total amount of IRF PPS payments that would be
made in FY 2012 (without applying the proposed changes to the rural,
LIP, or teaching status adjustment factors).
Step 2. Calculate the estimated total amount of IRF PPS payments
that would be made in FY 2012 if the proposed update to the rural
adjustment factor were applied.
Step 3. Divide the amount calculated in step 1 by the amount
calculated in step 2 to determine the proposed budget neutrality factor
(0.9998) that would maintain the same total estimated aggregate
payments in FY 2012 with and without the proposed change to the rural
adjustment factor.
Step 4. Calculate the estimated total amount of IRF PPS payments
that would be made in FY 2012 if the proposed update to the LIP
adjustment factor were applied.
Step 5. Divide the amount calculated in step 1 by the amount
calculated in step 4 to determine the proposed budget neutrality factor
(1.0327) that would maintain the same total estimated aggregate
payments in FY 2012 with and without the proposed change to the LIP
adjustment factor.
Step 6. Calculate the estimated total amount of IRF PPS payments
that would be made in FY 2012 if the proposed update to the teaching
status adjustment factor were applied.
Step 7. Divide the amount calculated in step 1 by the amount
calculated in step 6 to determine the proposed budget neutrality factor
(1.0024) that would maintain the same total estimated aggregate
payments in FY 2012 with and without the proposed change to the
teaching status adjustment factor.
Step 8. Apply the proposed budget neutrality factors for the
updates to the rural, LIP, and teaching status adjustment factors to
the FY 2011 IRF PPS standard payment amount after the application of
the proposed budget neutrality factors for the wage adjustment and the
CMG relative weights.
The proposed budget neutrality factors for the proposed changes to
the rural, LIP, and teaching status adjustment factors are subject to
change for the final rule if more recent data become available for use
in these analyses or if the proposed payment policies associated with
the proposed budget neutrality factors change.
In section V.C. of this proposed rule, we discuss the proposed
methodology for calculating the standard payment conversion factor for
FY 2012.
C. Proposed 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. Proposed Temporary FTE Intern and Resident 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. CMS has recently proposed to include a similar temporary cap
adjustment policy for the inpatient psychiatric facility (IPF) PPS
teaching status adjustment outlined in the rate year 2012 IPF PPS
proposed rule (76 FR 4998 at 5018 through 5020). Consistent with the
IPPS and the IPF PPS, in this proposed rule, we propose 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
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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 proposing to
adopt 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 proposed temporary adjustments to the FTE
caps for IPFs.
We are proposing that the cap adjustment would be temporary because
it is intern and resident specific and would 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.
We propose that, as under the IPPS policy for displaced interns and
residents, the IRF PPS temporary cap adjustment would 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 would not be
considered displaced interns and residents for purposes of the IRF
temporary cap adjustment policy. We are proposing to adopt 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, we are proposing that 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 proposing to
adopt 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 fo