Medicare Program; Inpatient Rehabilitation Facility Prospective Payment System for FY 2006, 30188-30327 [05-10264]
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30188
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
DEPARTMENT OF HEALTH AND
HUMAN SERVICES
Centers for Medicare & Medicaid
Services
42 CFR Part 412
[CMS–1290–P]
RIN 0938–AN43
Medicare Program; Inpatient
Rehabilitation Facility Prospective
Payment System for FY 2006
Centers for Medicare &
Medicaid Services (CMS), HHS.
ACTION: Proposed rule.
AGENCY:
SUMMARY: This proposed rule would
update the prospective payment rates
for inpatient rehabilitation facilities for
Federal fiscal year 2006 as required
under section 1886(j)(3)(C) of the Social
Security Act (the Act). Section 1886(j)(5)
of the Act requires the Secretary to
publish in the Federal Register on or
before August 1 before each fiscal year,
the classification and weighting factors
for the inpatient rehabilitation facilities
case-mix groups and a description of the
methodology and data used in
computing the prospective payment
rates for that fiscal year.
In addition, we are proposing new
policies and are proposing to change
existing policies regarding the
prospective payment system within the
authority granted under section 1886(j)
of the Act.
DATES: To be assured consideration,
comments must be received at one of
the addresses provided below, no later
than 5 p.m. on July 18, 2005.
ADDRESSES: In commenting, please refer
to file code CMS–1290–P. Because of
staff and resource limitations, we cannot
accept comments by facsimile (FAX)
transmission.
You may submit comments in one of
three ways (no duplicates, please):
1. Electronically. You may submit
electronic comments on specific issues
in this regulation to https://
www.cms.hhs.gov/regulations/
ecomments. (Attachments should be in
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however, we prefer Microsoft Word.)
2. By mail. You may mail written
comments (one original and two copies)
to the following address ONLY: Centers
for Medicare & Medicaid Services,
Department of Health and Human
Services, Attention: CMS–1290–P, P.O.
Box 8010, Baltimore, MD 21244–8010.
Please allow sufficient time for mailed
comments to be received before the
close of the comment period.
3. By hand or courier. If you prefer,
you may deliver (by hand or courier)
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your written comments (one original
and two copies) before the close of the
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please call telephone number (410) 786–
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arrival with one of our staff members.
Room 445–G, Hubert H. Humphrey
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SW., Washington, DC 20201; or 7500
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(Because access to the interior of the
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indicated as appropriate for hand or
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For information on viewing public
comments, see the beginning of the
SUPPLEMENTARY INFORMATION section.
FOR FURTHER INFORMATION CONTACT: Pete
Diaz, (410) 786–1235. Susanne
Seagrave, (410) 786–0044. Mollie
Knight, (410) 786–7984 for information
regarding the market basket and laborrelated share. August Nemec, (410) 786–
0612 for information regarding the tier
comorbidities. Zinnia Ng, (410) 786–
4587 for information regarding the wage
index and Core-Based Statistical Areas
(CBSAs).
SUPPLEMENTARY INFORMATION:
Submitting Comments: We welcome
comments from the public on all issues
set forth in this rule to assist us in fully
considering issues and developing
policies. You can assist us by
referencing the file code CMS–1290–P
and the specific ‘‘issue identifier’’ that
precedes the section on which you
choose to comment.
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comments received before the close of
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comments received before the close of
the comment period on its public Web
site as soon as possible after they have
been received. Hard copy comments
received timely will 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
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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
I. Background
A. General Overview of the Current Inpatient
Rehabilitation Facility Prospective
Payment System (IRF PPS)
B. Requirements for Updating the Prospective
Payment Rates for IRFs
C. Operational Overview of the Current IRF
PPS
D. Quality of Care in IRFs
E. Research to Support Refinements of the
Current IRF PPS
F. Proposed Refinements to the IRF PPS for
Fiscal Year 2006
II. Proposed Refinements to the Patient
Classification System
A. Proposed Changes to the IRF Classification
System
1. Development of the IRF Classification
System
2. Description and Methodology Used to
Develop the IRF Classification System in
the August 7, 2001 Final Rule
a. Rehabilitation Impairment Categories
b. Functional Status Measures and Age
c. Comorbidities
d. Development of CMG Relative Weights
e. Overview of Development of the CMG
Relative Weights
B. Proposed Changes to the Existing List of
Tier Comorbidities
1. Proposed Changes To Remove Codes That
Are Not Positively Related to Treatment
Costs
2. Proposed Changes to Move Dialysis to Tier
One
3. Proposed Changes to Move Comorbidity
Codes Based on Their Marginal Cost
C. Proposed Changes to the CMGs
1. Proposed Changes for Updating the CMGs
2. Proposed Use of a Weighted Motor Score
Index and Correction to the Treatment of
Unobserved Transfer to Toilet Values
3. Proposed Changes for Updating the
Relative Weights
III. Proposed FY 2006 Federal Prospective
Payment Rates
A. Proposed Reduction of the Standard
Payment Amount to Account for Coding
Changes
B. Proposed Adjustments to Determine the
Proposed FY 2006 Standard Payment
Conversion Factor
1. Proposed Market Basket Used for IRF
Market Basket Index
a. Overview of the Proposed RPL Market
Basket
b. Proposed Methodology for Operating
Portion of the Proposed RPL Market
Basket
c. Proposed Methodology for Capital
Proportion of the RPL Market Basket
d. Labor-Related Share
2. Proposed Area Wage Adjustment
a. Proposed Revisions of the IRF PPS
Geographic Classification
b. Current IRF PPS Labor Market Areas Based
on MSAs
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c. Core-Based Statistical Areas (CBSAs)
d. Proposed Revisions of the IRF PPS Labor
Market Areas
i. New England MSAs
ii. Metropolitan Divisions
iii. Micropolitan Areas
e. Implementation of the Proposed Changes
to Revise the Labor Market Areas
f. Wage Index Data
3. Proposed Teaching Status Adjustment
4. Proposed Adjustment for Rural Location
5. Proposed Adjustment for Disproportionate
Share of Low-Income Patients
6. Proposed Update to the Outlier Threshold
Amount
7. Proposed Budget Neutrality Factor
Methodology for Fiscal Year 2006
8. Description of the Methodology Used to
Implement the Proposed Changes in a
Budget Neutral Manner
9. Description of the Proposed IRF Standard
Payment Conversion Factor for Fiscal
Year 2006
10. Example of the Proposed Methodology for
Adjusting the Federal Prospective
Payment Rates
IV. Provisions of the Proposed Regulations
V. Collection of Information Requirements
VI. Response to Comments
VII. Regulatory Impact Analysis
Acronyms
Because of the many terms to which
we refer by acronym in this propose
rule, we are listing the acronyms used
and their corresponding terms in
alphabetical order below.
ADC—Average Daily Census
AHA—American Hospital Association
AMI—Acute Myocardial Infarction
BBA—Balanced Budget Act of 1997
(BBA), Pub. L. 105–33
BBRA—Medicare, Medicaid, and SCHIP
[State Children’s Health Insurance
Program] Balanced Budget
Refinement Act of 1999, Pub. L.
106–113
BIPA—Medicare, Medicaid, and SCHIP
[State Children’s Health Insurance
Program] Benefits Improvement and
Protection Act of 2000, Pub. L. 106–
554
BLS—Bureau of Labor Statistics
CART—Classification and Regression
Trees
CBSA—Core-Based Statistical Areas
CCR—Cost-to-charge ratio
CMGs—Case-Mix Groups
CMI—Case Mix Index
CMSA—Consolidated Metropolitan
Statistical Area
CPI—Consumer Price Index
DSH—Disproportionate Share Hospital
ECI—Employment Cost Index
FI—Fiscal Intermediary
FIM—Functional Independence
Measure
FIM–FRGs—Functional Independence
Measures—Function Related
Groups
FRG—Function Related Group
FTE—Full-time equivalent
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FY—Federal Fiscal Year
GME—Graduate Medical Education
HCRIS—Healthcare Cost Report
Information System
HIPAA—Health Insurance Portability
and Accountability Act
HHA—Home Health Agency
IME—Indirect Medical Education
IFMC—Iowa Foundation for Medical
Care
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
LIP—Low-income percentage
MEDPAR—Medicare Provider Analysis
and Review
MSA—Metropolitan Statistical Area
NECMA—New England County
Metropolitan Area
NOS—Not Otherwise Specified
NTIS—National Technical Information
Service
OMB—Office of Management and
Budget
OSCAR—Online Survey, Certification,
and Reporting
PAI—Patient Assessment Instrument
PLI—Professional Liability Insurance
PMSA—Primary Metropolitan
Statistical Area
PPI—Producer Price Index
PPS—Prospective Payment System
RIC—Rehabilitation Impairment
Category
RPL—Rehabilitation Hospital,
Psychiatric Hospital, and LongTerm Care Hospital Market Basket
TEFRA—Tax Equity and Fiscal
Responsibility Act
TEP—Technical Expert Panel
I. Background
[If you choose to comment on issues in
this section, please include the caption
‘‘Background’’ at the beginning of your
comments.]
A. General Overview of the Current
Inpatient Rehabilitation Facility
Prospective Payment System (IRF PPS)
Section 4421 of the Balanced Budget
Act of 1997 (BBA) (Pub. L. 105–33), as
amended by section 125 of the
Medicare, Medicaid, and SCHIP [State
Children’s Health Insurance Program]
Balanced Budget Refinement Act of
1999 (BBRA) (Pub. L. 106–113), and by
section 305 of the Medicare, Medicaid,
and SCHIP Benefits Improvement and
Protection Act of 2000 (BIPA) (Pub. L.
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106–554), provides for the
implementation of a per discharge
prospective payment system (PPS),
through 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
costs of approved educational 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
August 7, 2001 final rule, we are
providing below a general description of
the IRF PPS.
The IRF PPS, as described in the
August 7, 2001 final rule, uses Federal
prospective payment rates across 100
distinct case-mix groups (CMGs).
Ninety-five CMGs were constructed
using rehabilitation impairment
categories, functional status (both motor
and cognitive), and age (in some cases,
cognitive status and age may not be a
factor in defining a CMG). Five special
CMGs were constructed 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 account for the
relative difference in resource use across
all CMGs. Within each CMG, the
weighting factors were ‘‘tiered’’ based
on the estimated effects that certain
comorbidities have on resource use.
The Federal PPS rates were
established using a standardized
payment amount (previously referred to
as the budget-neutral conversion factor).
The standardized payment amount was
previously called the budget neutral
conversion factor because it reflected a
budget neutrality adjustment for FYs
2001 and 2002, as described in
§ 412.624(d)(2). However, the statute
requires a budget neutrality adjustment
only for FYs 2001 and 2002.
Accordingly, for subsequent years we
believe it is more consistent with the
statute to refer to the standardized
payment as the standardized payment
conversion factor, rather than refer to it
as a budget neutral conversion factor
(see 68 FR 45674, 45684 and 45685).
Therefore, we will refer to the
standardized payment amount in this
proposed rule as the standard payment
conversion factor.
For each of the tiers within a CMG,
the relative weighting factors were
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applied to the standard payment
conversion factor to compute the
unadjusted Federal prospective
payment rates. Under the current
system, adjustments that accounted for
geographic variations in wages (wage
index), the percentage of low-income
patients, and location in a rural area
were applied to the IRF’s unadjusted
Federal prospective payment rates. In
addition, adjustments were made to
account for the early transfer of a
patient, interrupted stays, and high cost
outliers.
Lastly, the IRF’s final prospective
payment amount was determined under
the transition methodology prescribed
in section 1886(j) of the Act.
Specifically, for cost reporting periods
that began on or after January 1, 2002
and before October 1, 2002, section
1886(j)(1) of the Act and as specified in
§ 412.626 provides that IRFs
transitioning into the PPS would receive
a ‘‘blended payment.’’ For cost reporting
periods that began on or after January 1,
2002 and before October 1, 2002, these
blended payments consisted of 662⁄3
percent of the Federal IRF PPS rate and
331⁄3 percent of the payment that the IRF
would have been paid had the IRF PPS
not been implemented. However, during
the transition period, an IRF with a cost
reporting period beginning on or after
January 1, 2002 and before October 1,
2002 could have elected to bypass this
blended payment and be paid 100
percent of the Federal IRF PPS rate. For
cost reporting periods beginning on or
after October 1, 2002 (FY 2003), the
transition methodology expired, and
payments for all IRFs consist of 100
percent of the Federal IRF PPS rate.
We established a CMS Web site that
contains useful information regarding
the IRF PPS. The Web site URL is
www.cms.hhs.gov/providers/irfpps/
default.asp and may be accessed to
download or view publications,
software, and other information
pertinent to the IRF PPS.
B. Requirements for Updating the
Prospective Payment Rates for IRFs
On August 7, 2001, we published a
final rule entitled ‘‘Medicare Program;
Prospective Payment System for
Inpatient Rehabilitation Facilities’’ in
the Federal Register (66 FR at 41316),
that established a PPS for IRFs as
authorized under section 1886(j) of the
Act and codified at subpart P of part 412
of the Medicare regulations. In the
August 7, 2001 final rule, we set forth
the per discharge Federal prospective
payment rates for fiscal year (FY) 2002
that provided payment for inpatient
operating and capital costs of furnishing
covered rehabilitation services (that is,
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routine, ancillary, and capital costs) but
not costs of approved educational
activities, bad debts, and other services
or items that are outside the scope of the
IRF PPS. The provisions of the August
7, 2001 final rule were effective for cost
reporting periods beginning on or after
January 1, 2002. On July 1, 2002, we
published a correcting amendment to
the August 7, 2001 final rule in the
Federal Register (67 FR at 44073). Any
references to the August 7, 2001 final
rule in this proposed rule include the
provisions effective in the correcting
amendment.
Section 1886(j)(5) of the Act and
§ 412.628 of the regulations require the
Secretary to publish in the Federal
Register, on or before August 1 of the
preceding FY, the classifications and
weighting factors for the IRF CMGs and
a description of the methodology and
data used in computing the prospective
payment rates for the upcoming FY. On
August 1, 2002, we published a notice
in the Federal Register (67 FR at 49928)
to update the IRF Federal prospective
payment rates from FY 2002 to FY 2003
using the methodology as described in
§ 412.624. As stated in the August 1,
2002 notice, we used the same
classifications and weighting factors for
the IRF CMGs that were set forth in the
August 7, 2001 final rule to update the
IRF Federal prospective payment rates
from FY 2002 to FY 2003. We have
continued to update the prospective
payment rates each year in accordance
with the methodology set forth in the
August 7, 2001 final rule.
In this proposed rule, we are
proposing to update the IRF Federal
prospective payment rates from FY 2005
to FY 2006, and we are proposing
revisions to the methodology described
in § 412.624. The proposed changes to
the methodology are described in more
detail in this proposed rule. For
example, we are proposing to add a new
teaching status adjustment, and we are
proposing to implement other changes
to existing policies in a budget neutral
manner, which requires applying
additional budget neutrality factors to
the standard payment amount to
calculate the standard payment
conversion factor for FY 2006. See
section III of this proposed rule for
further discussion of the proposed FY
2006 Federal prospective payment rates.
The proposed FY 2006 Federal
prospective payment rates would be
effective for discharges on or after
October 1, 2005 and before October 1,
2006.
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C. Operational Overview of the Current
IRF PPS
As described in the August 7, 2001
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, the
Inpatient Rehabilitation Facility-Patient
Assessment Instrument (IRF–PAI). All
required data must be electronically
encoded into the IRF–PAI software
product. Generally, the software product
includes patient grouping programming
called the GROUPER software. The
GROUPER software uses specific Patient
Assessment Instrument (PAI) data
elements to classify (or group) the
patient into a distinct CMG and account
for the existence of any relevant
comorbidities.
The GROUPER software produces a 5digit 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 at the
CMS Web site at www.cms.hhs.gov/
providers/irfpps/default.asp).
Once the patient is discharged, the
IRF completes the Medicare claim (UB–
92 or its equivalent) using the 5-digit
CMG number and sends it to the
appropriate Medicare fiscal
intermediary (FI). (Claims submitted to
Medicare must comply with both the
Administrative Simplification
Compliance Act (ASCA), Pub. L. 107–
105, and the Health Insurance
Portability and Accountability Act of
1996 (HIPAA), Pub. L. 104–191. Section
3 of ASCA requires the Medicare
Program, subject to subsection (H), 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.’’ Subsection (h) provides that
the Secretary shall waive such denial in
two types of cases and may also waive
such denial ‘‘in such unusual cases as
the Secretary finds appropriate.’’ See
also, 68 FR at 48805 (August 15, 2003).
Section 3 of ASCA operates in the
context of the Administrative
Simplification provisions of HIPAA,
which include, among others, the
transactions and code sets standards
requirements codified as 45 CFR part
160 and 162, subparts A and I through
R (generally known as the Transactions
Rule). The Transactions Rule requires
covered entities, including covered
providers, to conduct covered electronic
transactions according to the applicable
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transaction standards. See the program
claim memoranda issued and published
by CMS at www.cms.hhs.gov/providers/
edi/default.asp, https://
www.cms.hhs.gov/provider/edi/
default.asp and listed in the addenda to
the Medicare Intermediary Manual, Part
3, section 3600. Instructions for the
limited number of claims submitted to
Medicare on paper are located in section
3604 of Part 3 of the Medicare
Intermediary Manual.)
The Medicare Fiscal Intermediary (FI)
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.
D. Quality of Care in IRFs
The IRF–PAI is the patient data
collection instrument for IRFs.
Currently, the IRF–PAI contains a blend
of the functional independence
measures items and quality and medical
needs questions. The quality and
medical needs questions (which are
currently collected on a voluntary basis)
may need to be modified to encapsulate
those data necessary for calculation of
quality indicators in the future.
We awarded a contract to the
Research Triangle Institute (RTI) with
the primary tasks of identifying quality
indicators pertinent to the inpatient
rehabilitation setting and determining
what information is necessary to
calculate those quality indicators. These
tasks included reviewing literature and
other sources for existing rehabilitation
quality indicators. It also involved
identifying organizations involved in
measuring or monitoring quality of care
in the inpatient rehabilitation setting. In
addition, RTI was tasked with
performing independent testing of the
quality indicators identified in their
research.
Once RTI has issued a final report, we
will determine which quality-related
items should be listed on the IRF–PAI.
The revised IRF–PAI will need to be
approved by OMB before it is used in
IRFs.
We would like to take this
opportunity to discuss our thinking
related to broader initiatives in this area
related to quality of care. We have
supported the development of valid
quality measures and have been engaged
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in a variety of quality improvement
efforts focused in other post-acute care
settings such as nursing homes.
However, as mentioned above, any new
quality-related data collected from the
IRF–PAI would have to be analyzed to
determine the feasibility of developing a
payment method that accounts for the
performance of the IRF in providing the
necessary rehabilitative care.
Medicare beneficiaries are the
primary users of IRF services. Any
quality measures must be carefully
constructed to address the unique
characteristics of this population.
Similarly, we need to consider how to
design effective incentives; that is,
superior performance measured against
pre-established benchmarks and/or
performance improvements.
In addition, while our efforts to
develop the various post-acute care
PPSs, including the IRF PPS, have
generated substantial improvements
over the preexisting cost-based systems,
each of these individual systems was
developed independently. As a result,
we have focused on phases of a patient’s
illness as defined by a specific site of
service, rather than on the entire postacute episode. As the differentiation
among provider types (such as SNFs
and IRFs) becomes less pronounced, we
need to investigate a more coordinated
approach to payment and delivery of
post-acute services that focuses on the
overall post-acute episode.
This could entail a strategy of
developing payment policy that is as
neutral as possible regarding provider
and patient decisions about the use of
particular post-acute services. That is,
Medicare should provide payments
sufficient to ensure that beneficiaries
receive high quality care in the most
appropriate setting, so that admissions
and any transfers between settings occur
only when consistent with good care,
rather than to generate additional
revenues. In order to accomplish this
objective, we need to collect and
compare clinical data across different
sites of service.
In fact, in the long run, our ability to
compare clinical data across care
settings is one of the benefits that will
be realized as a basic component of the
Department’s interest in the use of a
standardized electronic health record
(EHR) across all settings including IRFs.
It is also important to recognize the
complexity of the effort, not only in
developing an integrated assessment
tool that is designed using health
information standards, but in examining
the various provider-centric prospective
payment methodologies and considering
payment approaches that are based on
patient characteristics and outcomes.
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MedPAC has recently taken a
preliminary look at the challenges in
improving the coordination of our postacute care payment methods, and
suggested that it may be appropriate to
explore additional options for paying for
post-acute services. We agree that CMS,
in conjunction with MedPAC and other
stakeholders, should consider a full
range of options in analyzing our postacute care payment methods, including
the IRF PPS.
We also want to encourage
incremental changes that will help us
build towards these longer term
objectives. For example, medical
records tools are now available that
could allow better coordinated
discharge planning procedures. These
tools can be used to ensure
communication of a standardized data
set that then can be used to establish a
comprehensive IRF care plan. Improved
communications may reduce the
incidence of potentially avoidable
rehospitalizations and other negative
impacts on quality of care that occur
when patients are transferred to IRFs
without a full explanation of their care
needs. We are looking at ways that
Medicare providers can use these tools
to generate timely data across settings.
At this time, we do not offer specific
proposals related to the preceding
discussion. Finally, some of the ideas
discussed here may exceed our current
statutory authority. However, we believe
that it is useful to encourage discussion
of a broad range of ideas for debate of
the relative advantages and
disadvantages of the various policies
affecting this important component of
the health care sector. We welcome
comments on these and other
approaches.
E. Research To Support Refinements of
the Current IRF PPS
As described in the August 7, 2001
final rule, we contracted with the RAND
Corporation (RAND) to analyze IRF data
to support our efforts in developing the
CMG patient classification system and
the IRF PPS. Since then, we have
continued our contract with RAND to
support us in developing potential
refinements to the classification system
and the PPS. RAND has also developed
a system to monitor the effects of the
IRF PPS on patients’ access to IRF care
and other post-acute care services.
In 1995, RAND began extensive
research, sponsored by us, on the
development of a per-discharge based
PPS using a patient classification system
known as Functional Independence
Measures-Function Related Groups
(FIM–FRGs) for IRFs. The results of
RAND’s earliest research, using 1994
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data, were released in September 1997
and are contained in two reports
available through the National
Technical Information Service (NTIS).
The reports are: Classification System
for Inpatient Rehabilitation Patients—A
Review and Proposed Revisions to the
Function Independence MeasureFunction Related Groups, NTIS order
number PB98–105992INZ, and
Prospective Payment System for
Inpatient Rehabilitation, NTIS order
number PB98–106024INZ.
In July 1999, we contracted with
RAND to update its earlier research. The
update included an analysis of
Functional Independence Measure
(FIM) data, the Function Related Groups
(FRGs), and the model rehabilitation
PPS using 1996 and 1997 data. The
purpose of updating the earlier research
was to develop the underlying data
necessary to support the Medicare IRF
PPS based on CMGs for the November
3, 2000 proposed rule (65 FR at 66313).
RAND expanded the scope of its earlier
research to include the examination of
several payment elements, such as
comorbidities, facility-level
adjustments, and implementation
issues, including evaluation and
monitoring. Then, to develop the
provisions of the August 7, 2001 final
rule (66 FR 41316, 41323), RAND did
similar analysis on calendar year 1998
and 1999 Medicare Provider Analysis
and Review (MedPAR) files and patient
assessment data.
We have continued to contract with
RAND to help us identify potential
refinements to the IRF PPS. RAND
conducted updated analyses of the
patient classification system, case mix
and coding changes, and facility-level
adjustments for the IRF PPS using data
from calendar year 2002 and FY 2003.
This is the first time CMS or RAND has
had data generated by IRFs after the
implementation of the IRF PPS that are
available for data analysis. The
refinements we are proposing to make to
the IRF PPS are based on the analyses
and recommendations from RAND. In
addition, RAND sought advice from a
technical expert panel (TEP), which
reviewed their methodology and
findings.
F. Proposed Refinements to the IRF PPS
for Fiscal Year 2006
Based on analyses by RAND using
calendar year 2002 and FY 2003 data,
we are proposing refinements to the IRF
PPS case-mix classification system (the
CMGs and the corresponding relative
weights) and the case-level and facilitylevel adjustments. Several new
developments warrant these proposed
refinements, including—(1) the
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availability of more recent 2002 and
2003 data; (2) better coding of
comorbidities and patient severity; (3)
more complete data; (4) new data
sources for imputing missing values;
and (5) improved statistical approaches.
In this proposed rule, we are
proposing to make the following
revisions:
• Reduce the standard payment
amount by 1.9 percent.
In the August 7, 2001 final rule, we
used cost report data from FYs 1998,
1997, and/or 1996 and calendar year
1999 Medicare bill data in calculating
the initial PPS payment rates. As
discussed in detail in section III.A of
this proposed rule, analysis of calendar
year 2002 data indicates that the
standard payment conversion factor is
now at least 1.9 percent higher than it
should be to reflect the actual costs of
caring for Medicare patients in IRFs.
The data demonstrate that this is largely
because the implementation of the IRF
PPS caused important changes in IRFs’
coding practices, including increased
accuracy and consistency in coding.
• Make revisions to the comorbidity
tiers and the CMGs.
In the August 7, 2001 final rule, we
used FIM and Medicare data from 1998
and 1999 to construct the CMGs and to
assign the comorbidity tiers. As
discussed in detail in section II of this
proposed rule, analysis of calendar year
2002 and FY 2003 data indicates the
need to refine the comorbidity tiers and
the CMGs to better reflect the costs of
Medicare cases in IRFs.
• Adopt the new geographic labor
market area definitions based on the
definitions created by the Office of
Management and Budget (OMB), known
as Core-Based Statistical Areas (CBSAs),
for purposes of computing the proposed
wage index adjustment to IRF payments.
Historically, Medicare PPSs have used
market area definitions developed by
OMB. We are proposing to adopt new
market area definitions which are based
on OMB definitions. As discussed in
detail in section III.B.2 of this proposed
rule, we believe that these designations
more accurately reflect the local
economies and wage levels of the areas
in which hospitals are located. These
are the same labor market area
definitions implemented for acute care
inpatient hospitals under the hospital
inpatient prospective payment system
(IPPS) as specified in
§ 412.64(b)(1)(ii)(A) through (C), which
were effective for those hospitals
beginning October 1, 2004 as discussed
in the August 11, 2004 IPPS final rule
(69 FR at 49026 through 49032).
• Implement a teaching status
adjustment to payments for services
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provided in IRFs that are, or are part of,
teaching hospitals.
In previous rules, including the
August 7, 2001 final rule, we noted that
analyses of the data did not support a
teaching adjustment. However, analysis
of the more recent calendar year 2002
and fiscal year 2003 data supports a
teaching status adjustment. For the first
time, as discussed in detail in section
III.B.3 of this proposed rule, the data
analysis has demonstrated a statistically
significant relationship between an
IRF’s teaching status and the costs of
caring for patients in that IRF. We
believe this may suggest the need to
account for the higher costs associated
with major teaching programs. For
reasons discussed in detail in section
III.B.3 of this proposed rule, we are
proposing to implement the new
teaching status adjustment in a budget
neutral manner. However, we have
some concerns about proposing a
teaching status adjustment for IRFs at
this time (as discussed in detail in
section III.B.3 of this proposed rule).
Because of these concerns, we are
specifically soliciting comments on our
consideration of an IRF teaching status
adjustment.
• Update the formulas used to
compute the rural and the low-income
patient (LIP) adjustments to IRF
payments.
In the August 7, 2001 final rule, we
implemented an adjustment to account
for the higher costs in rural IRFs by
multiplying their payments by 1.1914.
As discussed in detail in section III.B.4
of this proposed rule, the regression
analysis RAND performed on fiscal year
2003 data suggests that this rural
adjustment should be updated to 1.241
to account for the differences in costs
between rural and urban IRFs.
Similarly, in the August 7, 2001 final
rule, we implemented an adjustment to
payments to reflect facilities’ lowincome patient percentage calculated as
(1+ the disproportionate share hospital
(DSH) patient percentage) raised to the
power of 0.4838. As discussed in detail
in section III.B.5 of this proposed rule,
the regression analysis RAND performed
on fiscal year 2003 data indicates that
the LIP adjustment should now be
calculated as (1 + DSH patient
percentage) raised to the power of 0.636.
For reasons discussed in detail in
section III.B.5 of this proposed rule, we
are proposing to implement the changes
to these adjustments in a budget neutral
manner.
• Update the outlier threshold
amount from $11,211 (FY 2005) to
$4,911 (FY 2006) to maintain total
estimated outlier payments at 3 percent
of total estimated payments.
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In the August 7, 2001 final rule, we
describe the process by which we
calculate the outlier threshold, which
involves simulating payments and then
determining a threshold that would
result in outlier payments being equal to
3 percent of total payments under the
simulation. As discussed in detail in
section III.B.6 of this proposed rule, we
believe based on RAND’s regression
analysis that all of the other proposed
updates to the IRF PPS, including the
structure of the CMGs and the tiers, the
relative weights, and the facility-level
adjustments (such as the rural
adjustment, the LIP adjustment, and the
proposed teaching status adjustment)
make it necessary to propose to adjust
the outlier threshold amount.
II. Proposed Refinements to the Patient
Classification System
[If you choose to comment on issues in
this section, please include the caption
‘‘Proposed Refinements to the Patient
Classification System’’ at the beginning
of your comments.]
A. Proposed Changes to the IRF
Classification System
1. Development of the IRF Classification
System
Section 1886(j)(2)(A)(i) of the Act, as
amended by section 125 of the
Medicare, Medicaid, and SCHIP
Balanced Budget Refinement Act of
1999 requires the Secretary to establish
‘‘classes of patient discharges of
rehabilitation facilities by functionalrelated groups (each referred to as a
case-mix group or CMG), based on
impairment, age, comorbidities, and
functional capability of the patients, and
such other factors as the Secretary
deems appropriate to improve the
explanatory power of functional
independence measure-function related
groups.’’ In addition, the Secretary is
required to establish a method of
classifying specific patients in IRFs
within these groups as specified in
§ 412.620.
In the August 7, 2001 final rule (66 FR
at 41342), we implemented a
methodology to establish a patient
classification system using CMGs. The
CMGs are based on the FIM–FRG
methodology and reflect refinements to
that methodology.
In general, a patient is first placed in
a major group called a rehabilitation
impairment category (RIC) based on the
patient’s primary reason for inpatient
rehabilitation, (for example, a stroke).
The patient is then placed into a CMG
within the RIC, based on the patient’s
ability to perform specific activities of
daily living, and sometimes the patient’s
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b. Functional Status Measures and Age
methodology (Classification and
Regression Trees (CART)) that we used
to incorporate a patient’s functional
status measures (modified motor score
and cognitive score) and age into the
construction of the CMGs in the August
7, 2001 final rule.
We used the CART methodology to
divide the rehabilitation cases further
within each RIC. (Further information
regarding the CART methodology can be
found in the seminal literature on CART
(Classification and Regression Trees,
Leo Breiman, Jerome Friedman, Richard
Olshen, Charles Stone, Wadsworth Inc.,
Belmont CA, 1984: pp. 78–80).) We
chose to use the CART method because
it is useful in identifying statistical
relationships among data and, using
these relationships, constructing a
predictive model for organizing and
separating a large set of data into
smaller, similar groups. Further, in
constructing the CMGs, we analyzed the
extent to which the independent
variables (motor score, cognitive score,
and age) helped predict the value of the
dependent variable (the log of the cost
per case). The CART methodology
creates the CMGs that classify patients
with clinically distinct resource needs
into groups. CART is an iterative
process that creates initial groups of
patients and then searches for ways to
divide the initial groups to decrease the
clinical and cost variances further and
to increase the explanatory power of the
CMGs. Our current CMGs are based on
historical data. In order to develop a
separate CMG, we need to have data on
a sufficient number of cases to develop
coherent groups. Currently, we use 95
CMGs as well as 5 special CMGs for
scenarios involving short stays or the
expiration of the patient.
After using the RIC to define the first
division among the inpatient
rehabilitation groups, we used
functional status measures and age to
partition the cases further. In the August
7, 2001 final rule, we used 1998 and
1999 Medicare bills with corresponding
FIM data to create the CMGs and more
thoroughly examine each item of the
motor and cognitive measures. Based on
the data used for the August 7, 2001
final rule, we found that we could
improve upon the CMGs by making a
slight modification to the motor
measure. We modified the motor
measure by removing the transfer to tub/
shower item because we found that an
increase in a patient’s ability to perform
functional tasks with less assistance for
this item was associated with an
increase in cost, whereas an increase in
other functional items decreased costs.
We describe below the statistical
c. Comorbidities
Under the statutory authority of
section 1886(j)(2)(C)(i) of the Act, we are
proposing to make several changes to
the comorbidity tiers associated with
the CMGs for comorbidities that are not
positively related to treatment costs, or
their excessive use is questionable, or
their condition could not be
differentiated from another condition.
Specifically, section 1886(j)(2)(C)(i) of
the Act provides the following: The
Secretary shall from time to time adjust
the classifications and weighting factors
established under this paragraph as
appropriate to reflect changes in
treatment patterns, technology, case
mix, number of payment units for which
payment is made under this title and
other factors that may affect the relative
use of resources. The adjustments shall
be made in a manner so that changes in
aggregate payments under the
cognitive ability and/or age. Other
special circumstances, such as the
occurrence of very short stays, or cases
where the patient expired, are also
considered in determining the
appropriate CMG.
We explained in the August 7, 2001
final rule that further analysis of FIM
and Medicare data may result in
refinements to CMGs. In the August 7,
2001 final rule, we used the most recent
FIM and Medicare data available at that
time (that is 1998 and 1999 data).
Developing the CMGs with the 1998 and
1999 data resulted in 95 CMGs based on
the FIM–FRG methodology. The data
also supported the establishment of five
additional special CMGs that improved
the explanatory power of the FIM–FRGs.
We established one additional special
CMG to account for very short stays and
four additional special CMGs to account
for cases where the patient expired. In
addition, we established a payment of
an additional amount for patients with
at least one relevant comorbidity in
certain CMGs.
2. Description and Methodology Used to
Develop the IRF Classification System
in the August 7, 2001 Final Rule
a. Rehabilitation Impairment Categories
In the first step to develop the CMGs,
the FIM data from 1998 and 1999 were
used to group patients into RICs.
Specifically, the impairment code from
the assessment instrument used by
clients of UDSmr and Healthsouth
indicates the primary reason for the
inpatient rehabilitation admission. This
impairment code is used to group the
patient into a RIC. Currently, we use 21
RICs for the IRF PPS.
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classification system are a result of real
changes and are not a result of changes
in coding that are unrelated to real
changes in case mix.
A comorbidity is a specific patient
condition that is secondary to the
patient’s principal diagnosis or
impairment that is used to place a
patient into a RIC. A patient could have
one or more comorbidities present
during the inpatient rehabilitation stay.
Our analysis for the August 7, 2001 final
rule found that the presence of a
comorbidity could have a major effect
on the cost of furnishing inpatient
rehabilitation care. We also stated that
the effect of comorbidities varied across
RICs, significantly increasing the costs
of patients in some RICs, while having
no effect in others. Therefore, for the
August 7, 2001 final rule, we linked
frequently occurring comorbidities to
impairment categories in order to ensure
that all of the chosen comorbidities
were not an inherent part of the
diagnosis that assigns the patient to the
RIC.
Furthermore, in the August 7, 2001
final rule, we indicated that
comorbidities can affect cost per case for
some of the CMGs, but not all. When
comorbidities substantially increased
the average cost of the CMG and were
determined to be clinically relevant (not
inherent in the diagnosis in the RIC), we
developed CMG relative weights
adjusted for comorbidities
(§ 412.620(b)).
d. Development of CMG Relative
Weights
Section 1886(j)(2)(B) of the Act
requires that an appropriate relative
weight be assigned to each CMG.
Relative weights account for the
variance in cost per discharge and
resource utilization among the payment
groups and are a primary element of a
case-mix adjusted PPS. The
establishment of relative weights helps
ensure that beneficiaries have access to
care and receive the appropriate
services that are commensurate to other
beneficiaries that are classified in the
same CMG. In addition, prospective
payments that are based on relative
weights encourage provider efficiency
and, hence, help ensure a fair
distribution of Medicare payments.
Accordingly, 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
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of 1. We discuss the details of
developing the relative weights below.
As indicated in the August 7, 2001
final rule, we believe that the RAND
analysis has shown that CMGs based on
function-related groups (adjusted for
comorbidities) are effective predictors of
resource use as measured by proxies
such as length of stay and costs. The use
of these proxies is necessary in
developing the relative weights because
data that measure actual nursing and
therapy time spent on patient care, and
other resource use data, are not
available.
e. Overview of Development of the CMG
Relative Weights
As indicated in the August 7, 2001
final rule, to calculate the relative
weights, we estimate operating (routine
and ancillary services) and capital costs
of IRFs. For this proposed rule, we use
the same method for calculating the cost
of a case that we outlined in the August
7, 2001 final (66 FR at 41351 through
43153). We obtained cost-to-charge
ratios for ancillary services and per
diem costs for routine services from the
most recent available cost report data.
We then obtain charges from Medicare
bill data and derived corresponding
functional measures from the FIM data.
We omit data from rehabilitation
facilities that are classified as allinclusive providers from the calculation
of the relative weights, as well as from
the parameters that we use to define
transfer cases, because these facilities
are paid a single, negotiated rate per
discharge and therefore do not maintain
a charge structure. For ancillary
services, we calculate both operating
and capital costs by converting charges
from Medicare claims into costs using
facility-specific, cost-center specific
cost-to-charge ratios obtained from cost
reports. Our data analysis for the August
7, 2001 final rule showed that some
departmental cost-to-charge ratios were
missing or found to be outside a range
of statistically valid values. For
anesthesiology, a value greater than 10,
or less than 0.01, is found not to be
statistically valid. For all other cost
centers, values greater than 10 or less
than 0.5 are found not to be statistically
valid. In the August 7, 2001 final rule,
we replaced individual cost-to-charge
ratios outside of these thresholds. The
replacement value that we used for
these aberrant cost-to-charge ratios was
the mean value of the cost-to-charge
ratio for the cost-center within the same
type of hospital (either freestanding or
unit). For routine services, per diem
operating and capital costs are used to
develop the relative weights. In
addition, per diem operating and capital
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costs for special care services are used
to develop the relative weights. (Special
care services are furnished in intensive
care units. We note that fewer than 1
percent of rehabilitation days are spent
in intensive care units.) Per diem costs
are obtained from each facility’s
Medicare cost report data. We use per
diem costs for routine and special care
services because, unlike for ancillary
services, we could not obtain cost-tocharge ratios for these services from the
cost report data. To estimate the costs
for routine and special care services
included in developing the relative
weights, we sum the product of routine
cost per diem and Medicare inpatient
days and the product of the special care
per diem and the number of Medicare
special care days.
In the August 7, 2001 final rule, we
used a hospital specific relative value
method to calculate relative weights. We
used the following basic steps to
calculate the relative weights as
indicated in the August 7, 2001 final
rule (at 66 FR 41316, 41351 through
41352).
The first step in calculating the CMG
weights is to estimate the effect that
comorbidities have on costs. The second
step required us to adjust the cost of
each Medicare discharge (case) to reflect
the effects found in the first step. In the
third step, the adjusted costs from the
second step were used to calculate
‘‘relative adjusted weights’’ in each
CMG using the hospital-specific relative
value method. The final steps are to
calculate the CMG relative weights by
modifying the ‘‘relative adjusted
weight’’ with the effects of the existence
of the comorbidity tiers (explained
below) and normalizing the weights to
1.
B. Proposed Changes to the Existing List
of Tier Comorbidities
1. Proposed Changes to Remove Codes
That Are Not Positively Related to
Treatment Costs
While our methodology for this
proposed rule for determining the tiers
remains unchanged from the August 7,
2001 final rule, RAND’s analysis
indicates that 1.6 percent of FY 2003
cases received a tier payment (often in
tier one) that was not justified by any
higher cost for the case. Therefore,
under statutory authority section
1886(j)(2)(C)(i) of the Act, we are
proposing several technical changes to
the comorbidity tiers associated with
the CMGs. Specifically, the RAND
analysis found that the first 17
diagnoses shown in Table 1 below are
no longer positively related to treatment
cost after controlling for CMG. The
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additional two codes were also
problematic. According to RAND, code
410.91 (AMI, NOS, Initial) was too
unspecific to be differentiated from
other related codes and code 260,
Kwashiorkor, was found to be
unrealistically represented in the data
according to a RAND technical expert
panel.
With respect to the eighteenth code in
Table One, (410.X1) Specific AMI,
initial), we note that RAND found there
is not clinical reason to believe that this
code differs in a rehabilitation
environment from all of the specific
codes for initial AMI of the form 410.X,
where X is an numeric digit. In other
words, this code is indistinguishable
from the seventeenth code in Table One
(410.91 AMI, NOS, initial). Following
this observation, RAND tested the other
initial AMI codes as a single group and
found that they have no positive effect
on case cost. Since we are proposing to
remove ‘‘AMI, NOS, initial’’ from the
tier list because it is not positively
related to treatment cost after
controlling for the CMG, we believe that
‘‘Specific AMI, initial’’ similarly should
be removed from the tier list since it is
indistinguishable from ‘‘AMI, NOS,
initial.’’
With respect to the last code in Table
One (Kwashiorkor), we are proposing to
remove this code from the tier list as
well. This comorbidity is positively
related to cost in our data. However,
RAND’s technical expert panel (TEP)
found the large number of cases coded
with this rare disease to be unrealistic
and recommended that it be removed
from the tier list.
Table 1 contains two malnutrition
codes, and removing these two
malnutrition codes where use is
concentrated in specific hospitals is
particularly important because these
hospitals are likely receiving
unwarrantedly high payments due to
the tier one assignment of these cases.
Thus, because we believe the excess use
of these two comorbid conditions is
inappropriate based on the findings of
RAND’s TEP, we are proposing their
removal.
The data indicate large variation in
the rate of increase from the 1999 data
to the 2003 data across the conditions
that make up the tiers. The greatest
increases were for miscellaneous throat
conditions and malnutrition, each of
which were more than 10 times as
frequent in 2003 as in 1999. The growth
in these two conditions was far larger
than for any other condition. Many
conditions, however, more than doubled
in frequency, including dialysis,
cachexia, obesity, and the non-renal
30195
complications of diabetes. The
condition with the least growth, renal
complications of diabetes, may have
been affected by improved coding of
dialysis.
The remaining proposed changes to
our initial list of diagnoses in Table 1
deal with tracheostomy cases. These
rare cases were excluded from the
pulmonary RIC 15 in the August 7, 2001
final rule. The new data indicate that
they are more expensive than other
cases in the same CMG in RIC 15, as
well as in other RICs. Therefore, we
believe the data demonstrate that
tracheostomy cases should be added to
the tier list for RIC 15. Finally, DX
V55.0, ‘‘attention to tracheostomy’’
should initially have been part of this
condition as these cases were and are as
expensive as other tracheostomy cases.
Thus, since ‘‘attention to tracheostomy’’
is as expensive as other tracheostomy
cases, it is logical to group such similar
cases together.
We believe that the data provided by
RAND support the removal of the codes
in Table 1 below because they either
have no impact on cost after controlling
for their CMG or are indistinguishable
from other codes or are unrealistically
overrepresented. Therefore, we are
proposing to remove these codes from
the tier list.
TABLE 1.—PROPOSED LIST OF CODES TO BE REMOVED FROM THE TIER LIST
ICD–9–CM
code
Abbreviated code title
235.1 .............
933.1 .............
934.1 .............
530.0 .............
530.3 .............
530.6 .............
V46.1 ............
799.4 .............
V49.75 ..........
V49.76 ..........
V497.7 ..........
356.4 .............
250.90 ...........
250.93 ...........
261 ................
262 ................
410.91 ...........
410.X1 ..........
260 ................
Unc behav neo oral/phar ...................................................................................................
Foreign body in larynx .......................................................................................................
Foreign body bronchus ......................................................................................................
Achalasia & cardiospasm ..................................................................................................
Esophageal stricture ..........................................................................................................
Acquired esophag diverticulum .........................................................................................
Dependence on respirator .................................................................................................
Cachexia ............................................................................................................................
Status amputation below knee ..........................................................................................
Status amputation above knee ..........................................................................................
Status amputation hip ........................................................................................................
Idiopathic progressive polyneuropathy ..............................................................................
Diabetes II, w unspecified complications, not stated as uncontrolled ..............................
Diabetes I, w unspecified complications, uncontrolled .....................................................
Nutritional Marasmus .........................................................................................................
Other severe protein calorie deficiency .............................................................................
AMI, NOS, initial ................................................................................................................
Specific AMI, initial ............................................................................................................
Kwashiorkor .......................................................................................................................
2. Proposed Changes To Move Dialysis
To Tier One
We are proposing the movement of
dialysis to tier one, which is the tier
associated with the highest payment.
The data from the RAND analysis show
that patients on dialysis cost
substantially more than current
payments for these patients and should
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Condition
be moved into the highest paid tier
because this tier would more closely
align payment with the cost of a case.
Based on RAND’s analysis using 2003
data, a patient with dialysis costs 31
percent more than a non-dialysis patient
in the same CMG and with the same
other accompanying comorbidities.
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Miscellaneous throat conditions.
Miscellaneous throat conditions.
Miscellaneous throat conditions.
Esophegeal conditions.
Esophegeal conditions.
Esophegeal conditions.
Ventilator status.
Cachexia.
Amputation of LE.
Amputation of LE.
Amputation of LE.
Meningitis and encephalitis.
Non-renal Complications of Diabetes.
Non-renal Complications of Diabetes.
Malnutrition.
Malnutrition.
Major comorbidities.
Major comorbidities.
Malnutrition.
Overall, the largest increase in the
cost of a condition occurs among
patients on dialysis, where the
coefficient in the cost regression
increases by 93 percent, from 0.1400 to
0.2697. Part of the explanation for the
increased coefficient could be that some
IRFs had not borne all dialysis costs for
their patients in the pre-PPS period
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(because providers were previously
permitted to bill for dialysis separately).
Dialysis is currently in tier two.
However, it is likely that, in the 1999
data, some IRFs had not borne all
dialysis costs for their patients. Because
the fraction of cases coded with dialysis
increased by 170 percent, it is also
likely that improved coding was part of
the explanation for the increased
coefficient. We believe a 170 percent
increase is such a dramatic increase that
it would be highly unlikely that in one
short time, 170 percent more patients
need dialysis than they did before the
implementation of the IRF PPS. We also
believe that the improved coding is
likely due to the fact that higher costs
are associated with dialysis patients and
therefore IRFs, in an effort to ensure that
their payments cover these higher
expenses will better and more carefully
code comorbidities whose presence will
result in higher PPS payments.
Moving dialysis patients to tier one
will more adequately compensate
hospitals for the extra cost of those
patients and thereby maintain or
increase access to these services.
3. Proposed Changes To Move
Comorbidity Codes Based on Their
Marginal Cost
Under statutory authority section
1886(j)(2)(C)(i) of the Act, we are
proposing to move comorbidity codes
based on their marginal cost. Another
limitation with the existing tiers is that
costs for several conditions would be
more accurately predicted if their tier
assignments were changed. After
examining RAND’s data, we believe that
a full 4 percent of FY 2003 cases should
be moved down to tiers with lower
payment.
We propose that tier assignments be
based on the results of statistical
analyses RAND has performed under
contract with CMS, using as
independent variables only the
proposed CMGs and conditions that we
are proposing for tiers (for example, the
CMGs and conditions that remain after
the proposed changes have been made).
We are proposing that the tier
assignments of each of these conditions
be decided based on the magnitude of
their coefficients in RAND’s statistical
analysis.
We believe the IRF PPS led to
substantial changes in coding of
comorbidities between 1999 (preimplementation of the IRF PPS) and
2003 (post-implementation of the IRF
PPS). The percentage of cases with one
or more comorbidities increased from
16.79 percent in the data in which tiers
were defined (1998 through 1999) to
25.51 percent in FY 2003. This is an
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increase of 52 percent in tier incidence
(52 = 100 × (25.51¥16.79)/16.79). The
presence of a tier one comorbidity, the
highest paid of the tiers, almost
quadrupled during this same time
period. Although, coding likely
improved, the presence of upcoding for
a higher payment may play a factor as
well.
The 2003 data provide a more
accurate explanation of the costs that
are associated with each of the
comorbidities, largely due to having 100
percent of the Medicare-covered IRF
cases in the later data versus slightly
more than half of the cases in 1999 data.
Therefore, using the 2003 data to
propose to assign each diagnosis or
condition will considerably improve the
matching of payments to their relative
costs.
C. Proposed Changes to the CMGs
Section 1886(j)(2)(C)(i) of the Act
requires the Secretary from time to time
to adjust the classifications and
weighting factors of patients under the
IRF PPS to reflect changes in treatment
patterns, technology, case mix, number
of payment units for which payment is
made, and other factors that may affect
the relative use of resources. These
adjustments shall be made in a manner
so that changes in aggregate payments
under the classification system are the
result of real changes and not the result
of changes in coding that are unrelated
to real changes in case mix.
In accordance with section
1886(j)(2)(C)(i) of the Act and as
specified in § 412.620(c) and based on
the research conducted by RAND, we
are proposing to update the CMGs used
to classify IRF patients for purposes of
establishing payment amounts. We are
also proposing to update the relative
weights associated with the payment
groups based on FY 2003 Medicare bill
and patient assessment data. We are
proposing to replace the current
unweighted motor score index used to
assign patients to CMGs with a weighted
motor score index that would improve
our ability to accurately predict the
costs of caring for IRF patients, as
described in detail below. However, we
are not proposing to change the
methodology for computing the
cognitive score index.
As described in the August 7, 2001
final rule, we contracted with RAND to
analyze IRF data to support our efforts
in developing our patient classification
system and the IRF PPS. We have
continued our contract with RAND to
support us in developing potential
refinements to the classification system
and the PPS. As part of this research, we
asked RAND to examine possible
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refinements to the CMGs to identify
potential improvements in the
alignment between Medicare payments
and actual IRF costs. In conducting its
research, RAND used a technical expert
panel (TEP) made up of experts from
industry groups, other government
entities, academia, and other interested
parties. The technical expert panel
reviewed RAND’s methodologies and
advised RAND on many technical
issues.
Several recent developments make
significant improvements in the
alignment between Medicare payments
and actual IRF costs possible. First,
when the IRF PPS was implemented in
2002, a new recording instrument was
used to collect patient data, the IRF
Patient Assessment Instrument (or the
IRF PAI). The new instrument contained
questions that improved the quality of
the patient-level information available
to researchers.
Second, more recent data are available
on a larger patient population. Until
now, the design of the IRF PPS was
based entirely on 1999 data on Medicare
rehabilitation patients from just a
sample of hospitals. Now, we have postPPS data from 2002 and 2003 that
describe the entire universe of
Medicare-covered rehabilitation
patients.
Finally, we believe that proposed
improvements in the algorithms that
produced the initial CMGs, as described
below, should lead to new CMGs that
better predict treatment costs in the IRF
PPS.
Using FIM (the inpatient
rehabilitation facility assessment
instrument before the PPS) and
Medicare data from 1998 and 1999,
RAND helped us develop the original
structure of the IRF PPS. IRFs became
subject to the PPS beginning with cost
reporting periods on or after January 1,
2002. The PPS is based on assigning
patients to particular CMGs that are
designed to predict the costs of treating
particular Medicare patients according
to how well they function in four
general categories: transfers, sphincter
control, self-care (for example,
grooming, eating), and locomotion.
Patient functioning is measured
according to 18 categories of activity: 13
motor tasks, such as climbing stairs, and
5 cognitive tasks, such as recall. The
PPS is intended to align payments to
IRFs as closely as possible with the
actual costs of treating patients. If the
PPS ‘‘underpays’’ for some kinds of
care, IRFs have incentives to limit
access for patients requiring that kind of
care because payments would be less
than the costs of providing care for a
particular case so an IRF may try to
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limit its financial ‘‘losses’’; conversely,
if the PPS overpays, resources are
wasted because IRFs’ payments exceed
the costs of providing care for a
particular case.
The fiscal year 2003 data file
currently available for refining the
CMGs is better than the 1999 data
RAND originally used to construct the
IRF PPS because it contains many more
IRF cases and represents the universe of
Medicare-covered IRF cases, rather than
a sample. The best available data that
CMS and RAND had for analysis in
1999 contained 390,048 IRF cases,
representing 64 percent of all Medicarecovered patients in participating IRF
hospitals. The more recent data contain
523,338 IRF cases (fiscal year 2003),
representing all Medicare-covered
patients in participating IRF hospitals.
The larger file enables RAND to obtain
greater precision in the analysis and
ensures a more balanced and complete
picture of patients under the IRF PPS.
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Also, the fiscal year 2003 data are
better than the 1999 data used to design
the IRF PPS because they include more
detailed information about patients’
level of functioning. For example, new
variables are included in the more
recent data that provide further details
on patient functioning. Standard bowel
and bladder scores on the FIM
instrument (used to assess patients
before the IRF PPS), for example,
measured some combination of the level
of assistance required and the frequency
of accidents (that is, soiling of clothes
and surroundings). New variables on the
IRF–PAI instrument measure the level
and the frequency separately. Since
measures of the level of assistance
required and the frequency of accidents
contain slightly different information
about the expected costliness of an IRF
patient, having measures for these two
variables separately provides additional
information to researchers.
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Furthermore, additional optional
information is recorded on the health
status of patients in the more recent data
(for example, shortness of breath,
presence of ulcers, inability to balance).
1. Proposed Changes for Updating the
CMGs
As described in the August 7, 2001
final rule, RAND developed the original
list of CMGs using FIM data from 1998
and 1999 to group patients into RICs.
Table 2 below shows the final set of 95
CMGs based on the FIM–FRG
methodology, the 5 special CMGs, and
their descriptions. Impairment codes
from the assessment instrument used by
UDSmr and Healthsouth indicated the
primary reasons for inpatient
rehabilitation admissions. The
impairment codes were used to group
patients into RICs. Table 3 below shows
each RIC and its associated impairment
code.
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Given the availability of more recent,
post-PPS data, we asked RAND to
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examine possible refinements to the
CMGs to identify potential
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improvements in the alignment between
Medicare payments and actual IRF
costs. In addition to analyzing fiscal
year 2003 data, RAND also convened a
TEP, made up of researchers from
industry, provider organizations,
government, and academia, to provide
support and guidance through the
process of developing possible
refinements to the PPS. Members of the
TEP reviewed drafts of RAND’s reports,
offered suggestions for additional
analyses, and provided clinicians’ views
of the importance and significance of
various findings.
RAND’s analysis of the FY 2003 data,
along with the support and guidance of
the TEP, strongly suggest the need to
update the CMGs to better align
payments with costs under the IRF PPS.
The other option we considered before
deciding to propose to update the CMGs
with the fiscal year 2003 data was to
maintain the same CMG structure but
recalculate the relative weights for the
current CMGs using the 2003 data. After
carefully reviewing the results of
RAND’s regression analysis, which
compared the predictive ability of the
CMGs under 3 scenarios (not updating
the CMGs or the relative weights,
updating only the relative weights and
not the CMGs, and updating both the
relative weights and the CMGs), we
believe (based on RAND’s analysis) that
updating both the relative weights and
the CMGs will allow the classification
system to do a much better job of
reflecting changes in treatment patterns,
technology, case mix, and other factors
which may affect the relative use of
resources.
We believe it is appropriate to update
the CMGs and the relative weights at
this time because the 2003 data we now
have represent a substantial
improvement over the 1999 data. The
more recent data include all Medicarecovered IRF cases rather than a subset,
allowing us to base the proposed CMG
changes on a complete picture of the
types of patients in IRFs. In designing
the IRF PPS, we used the best available
data, but those data did not allow us to
have a complete picture of the types of
patients in IRFs. Also, the clinical
coding of patient conditions in IRFs is
vastly improved in the more recent data
than it was in the best available data we
had to design the IRF PPS. In addition,
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changes in treatment patterns,
technology, case mix, and other factors
affecting the relative use of resources in
IRFs since the IRF PPS was
implemented likely require an update to
the classification system.
We are currently paying IRFs based
on 95 CMGs and 5 special CMGs
developed using the CART algorithm
applied to 1999 data. The CART
algorithm that was used in designing the
IRF PPS assigned patients to RICs
according to their age and their motor
and cognitive FIM scores. CART
produced the partitions so that the
reported wage-adjusted rehabilitation
cost of the patients was relatively
constant within partitions. Then, a
subjective decision-making process was
used to decrease the number of CMGs
(to ensure that the payment system did
not become unduly complicated), to
enforce certain constraints on the CMGs
(to ensure that, for instance, IRFs were
not paid more for patients who had
fewer comorbidities than for patients
with more comorbidities), and to fit the
comorbidity tiers. Although the use of a
subjective decision-making process
(rather than a computer algorithm) was
very useful, there were limitations. For
example, it made it difficult to explore
the implications of variations to the
CART models because a computer
program can examine many more
variations of a model in a much shorter
time than an individual person.
Furthermore, the computer is more
efficient at accounting for all of the
possible combinations and interactions
between important variables that affect
patient costs.
In analyzing potential refinements to
the IRF PPS, RAND created a new
algorithm that would be very useful in
constructing the proposed CMGs (the
new algorithm would be based on the
CART methodology described in detail
earlier in this section of the proposed
rule). RAND applied the new algorithm
to the fiscal year 2003 IRF data. We are
proposing to use RAND’s new algorithm
for refinements to the CMGs. The
proposed algorithm would be based
entirely on an iterative computerized
process to decrease the number of
CMGs, enforce constraints on the CMGs,
and assign the comorbidity tiers. At
each step in the process, the proposed
new CART algorithm would produce all
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of the possible combinations of CMGs
using all available variables. It would
then select the variables and the CMG
constructions that offer the best
predictive ability, as measured by the
greatest decrease in the mean-squared
error. We propose that the following
constraints be placed on the algorithm,
based on RAND’s analysis: (1)
Neighboring CMGs would have to differ
by at least $1,500, unless eliminating
the CMG would change the estimated
costs of patients in that CMG by more
than $1,000; (2) estimated costs for
patients with lower motor or cognitive
index scores (more functionally
dependent) would always have to be
higher than estimated costs for patients
with higher motor or cognitive index
scores (less functionally dependent). We
believe that the PPS should not pay
more for a patient who is less
functionally dependent than for one
who is more functionally dependent;
and (3) each CMG must contain at least
50 observations (for statistical validity).
RAND’s technical expert panel, which
included representatives from industry
groups, other government entities,
academia, and other researchers,
reviewed and commented on these
constraints and the rest of RAND’s
proposed methodology (developed
based on RAND’s analysis of the data)
for updating the CMGs as RAND
developed the improvements to the
CART methodology.
The following would be the most
substantial differences between the
existing CMGs and the proposed new
CMGs:
• Fewer CMGs than before (87
compared with 95 in the current
system).
• The number of CMGs under the RIC
for stroke patients (RIC 1) would
decrease from 14 to 10.
• The cognitive index score would
affect patient classification in two of the
RICs (RICs 1 and 2), whereas it currently
affects RICs 1, 2, 5, 8, 12, and 18.
• A patient’s age would now affect
assignment for CMGs in RICs 1, 4 and
8, whereas it currently affects
assignment for CMGs in RICs 1 and 4.
In Table 2 above, we provided the
CMGs that are currently being used to
pay IRFs. Table 4 below shows the
proposed new CMGs.
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Note: CMG definitions use proposed
weighted motor scores, as defined below.
The primary objective in updating the
CMGs is to better align IRF payments
with the costs of caring for IRF patients,
given better, more recent information.
This requires that we improve the
ability of the system to predict patient
costs. RAND’s analysis suggests that the
proposed new CMGs clearly improve
the ability of the payment system to
predict patient costs. The proposed new
CMGs would greatly improve the
explanation of the variance in the
system.
2. Proposed Use of a Weighted Motor
Score Index and Correction to the
Treatment of Unobserved Transfer to
Toilet Values
As described in detail below, we are
proposing to use a weighted motor score
index in assigning patients to CMGs,
instead of the current motor score index
that treats all components equally. We
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are also proposing to change the motor
score value for the transfer to toilet
variable to 2 rather than 1 when it is
unobserved. However, we are not
proposing changes to the cognitive score
index. As described in detail below, we
believe that a weighted motor score
index, with the correction to the
treatment of unobserved transfer to
toilet values would improve the
classification of patients into CMGs,
which in turn would improve the
accuracy of payments to IRFs.
In order to classify a patient into a
CMG, IRFs use the admission
assessment data from the IRF–PAI to
score a patient’s functional
independence measures. The functional
independence measures consist of what
are termed ‘‘motor’’ items and
‘‘cognitive’’ items. In addition to the
functional independence measures, the
patient’s age may also influence the
patient’s CMG classification. The motor
items are generally indications of the
patient’s physical functioning level. The
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cognitive items are generally indications
of the patient’s mental functioning level,
and are related to the patient’s ability to
process and respond to empirical factual
information, use judgment, and
accurately perceive what is happening.
The motor items are eating, grooming,
bathing, dressing upper body, dressing
lower body, toileting, bladder
management, bowel management,
transfer to bed/chair/wheelchair,
transfer to toilet, walking or wheelchair
use, and stair climbing. The cognitive
items are comprehension, expression,
social interaction, problem solving, and
memory. (The CMS IRF–PAI manual
includes more information on these
items.) Each item is generally recorded
on a patient assessment instrument and
scored on a scale of 1 to 7, with a 7
indicating complete independence in
this area of functioning, and a 1
indicating that a patient is very
impaired in this area of functioning.
As explained in the August 7, 2001
final rule (66 FR at 41349), the
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instructions for the IRF–PAI require that
providers record an 8 for an item to
indicate that the activity did not occur
(or was not observed), as opposed to a
1 through 7 indicating that the activity
occurred and the estimated level of
function connected with that activity.
Please note that when the IRF–PAI
form went through the approval process,
the code 8 was removed and replaced
with the code 0. Therefore, a 0 is now
the code facilities use to record when an
activity does not occur (or is not
observed).
In order to determine the appropriate
payment for patients for whom an
activity is coded as 0 (that is, either not
performed or not observed), we needed
to decide an appropriate way of
changing the 0 to another code for
which payment could be assigned. As
discussed in the August 7, 2001 final
rule (66 FR at 41349), we decided to
assign a code of 1 (indicating that the
patient needed ‘‘maximal assistance’’)
whenever a code of 0 appeared for one
of the items on the IRF–PAI used to
determine payment. This was the most
conservative approach we could have
taken based on the best available data at
the time because a value of 1 indicates
that the patient needed maximal
assistance performing the task. Thus,
providers would receive the highest
payment available for that item
(although it might not be the highest
payment overall, depending on the
patient’s CMG, other functional
abilities, and/or comorbidities).
We are proposing to change the way
we treat a code of 0 on the IRF–PAI for
the transfer to toilet item. This is the
only item for which we are proposing
this change at this time because RAND’s
regression analysis demonstrated that of
all the motor score values, the evidence
supporting a change in the motor score
values was the strongest with respect to
this item. We propose to assign a code
of 2, instead of a code of 1, to patients
for whom a 0 is recorded on the IRF–
PAI for the transfer to toilet item (as
discussed below) because RAND’s
analysis of calendar year 2002 and FY
2003 data indicates that patients for
whom a 0 is recorded are more similar
in terms of their characteristics and
costliness to patients with a recorded
score of 2 than to patients with a
recorded score of 1. We are proposing to
make this change in order to provide the
most accurate payment for each patient.
Using regression analysis on the
calendar year 2002 and FY 2003 data,
which is more complete and provides
more detailed information on patients’
functional abilities than the FY 1999
data used to construct the IRF PPS (even
though the 1999 data were the best
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available data at the time), RAND
analyzed whether the assignment of 1 to
items for which a 0 is recorded on the
IRF–PAI continues to correctly assign
payments based on patients’ expected
costliness. RAND examined all of the
items in the motor score index, focusing
on how often a code of 0 appears for the
item, how similar patients with a code
of 0 are to other patients with the same
characteristics that have a score of 1
though 7, and how much a change in
the item’s score affects the prediction of
a patient’s expected costliness. Based on
RAND’s regression analysis, we believe
it is appropriate to change the
assignment of 0 on the transfer to toilet
item from a 1 to a 2 for the purposes of
determining IRF payments.
Until now, the IRF PPS has used
standard motor and cognitive scores, the
sum of either 12 or 13 motor items and
the sum of 5 cognitive items, to assign
patients to CMGs. This summing
equally weights the components of the
indices. These indices have been
accepted and used for many years.
Although the weighted motor score is an
option that has been considered before,
most experts believed that the data were
not complete and accurate enough
before the IRF PPS (although they were
the most complete and accurate data
available at the time). Now, it is
believed that the data are complete and
accurate enough to support proposing to
use a weighted motor score index.
In developing candidate indices that
would weight the items in the score,
RAND had competing goals: to develop
indices that would increase the
predictive power of the system while at
the same time maintaining simplicity
and transparency in the payment
system. For example, they found that an
‘‘optimal’’ weighting methodology from
the standpoint of predictive power
would require computing 378 different
weights (18 different weights for the
motor and cognitive indices that could
all differ across 21 RICs). Rather than
introduce this level of complexity to the
system, RAND decided to explore
simpler weighting methodologies that
would still increase the predictive
power of the system.
RAND used regression analysis to
explore the relationship of the FIM
motor and cognitive scores to cost. The
idea of these models was to determine
the impact of each of the FIM items on
cost and then weight each item in the
index according to its relative impact on
cost. Based on the regression analysis,
RAND was able to design a weighting
methodology for the motor score that
could potentially be applied uniformly
across all RICs.
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RAND assessed different weighting
methodologies for both the motor score
index and the cognitive score index.
They discovered that weighting the
motor score index improved the
predictive ability of the system, whereas
weighting the cognitive score index did
not. Furthermore, the cognitive score
index has never had much of an effect
(in some RICs, it has no effect) on the
assignment of patients to CMGs because
the motor score tends to be much
stronger at predicting a patient’s
expected costs in an IRF than the
cognitive score.
For these reasons, we are proposing a
weighting methodology for the motor
score index at this time. We propose to
continue using the same methodology
we have been using since the IRF PPS
was first implemented to compute the
cognitive score index (that is, summing
the components of the index) because,
among other things, a change in
methodology for calculating this
component of the system failed to
improve the accuracy of the IRF PPS
payments. Therefore, it would be futile
to expend resources on changing this
method when it would not benefit the
program.
Table 5 below shows the proposed
optimal weights for the components of
the motor score, averaged across all RICs
and normalized to sum to 100.0,
obtained through the regression
analysis. The weights relate to the FIM
items’ relative ability to predict
treatment costs. Table 5 indicates that
dressing lower, toilet, bathing, and
eating are the most effective self-care
items for predicting costs; bowel and
bladder control may not be effective at
predicting costs; and that the items
grouped in the transfer and locomotion
categories might be somewhat more
effective at predicting costs than the
other categories.
TABLE
5.—PROPOSED
OPTIMAL
WEIGHTS, AVERAGED ACROSS REHABILITATION
IMPAIRMENT
CATEGORIES (RICS): MOTOR ITEMS
Item type
Functional independence item
Self ..............
Self ..............
Self ..............
Self ..............
Self ..............
Self ..............
Sphincter .....
Sphincter .....
Transfer .......
Transfer .......
Transfer .......
Dressing lower ....
Toilet ...................
Bathing ................
Eating ..................
Dressing upper ....
Grooming ............
Bladder ................
Bowel ..................
Transfer to bed ...
Transfer to toilet ..
Transfer to tub ....
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Average
optimal
weight
1.4
1.2
0.9
0.6
0.2
0.2
0.5
0.2
2.2
1.4
Not
included
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weighting scheme indicated in Table 5
above and in the following simple
equation:
Motor score index=1.4*dressing lower +
1.2*toilet + 0.9*bathing +
0.6*eating + 0.2*dressing upper +
0.2*grooming + 0.5*bladder +
Average
Functional inde0.2*bowel + 2.2*transfer to bed +
Item type
optimal
pendence item
weight
1.4*transfer to toilet + 1.6*walking
+ 1.6*stairs.
Locomotion .. Walking ...............
1.6
Another reason we are proposing to
Locomotion .. Stairs ...................
1.6
use a weighted motor score index to
assign patients to CMGs is that RAND’s
Based on RAND’s analysis, we
regression analysis showed that it
considered a number of different
predicts costs better than the current
candidate indices before proposing a
unweighted motor score index. Across
weighted index. We considered
all 21 RICs, the proposed weighted
proposing to define some simple
combinations of the four item types that motor score index improves the
explanation of variance within each RIC
make up the motor score index and
assigning weights to the groups of items by 9.5 percent, on average.
instead of to the individual items. For
3. Proposed Changes for Updating the
example, we considered proposing to
Relative Weights
sum the three transfer items together to
Section 1886(j)(2)(B) of the Act
form a group with a weight of two, since
they contributed about twice as much in requires that an appropriate relative
the cost regression as the self-care items. weight be assigned to each CMG.
Relative weights that account for the
We also considered proposing to assign
variance in cost per discharge and
the self-care items a weight of one and
resource utilization among payment
the bladder and bowel items as a group
groups are a primary element of a casea weight close to zero, since they
mix adjusted prospective payment
contributed little to predicting cost in
system. The accuracy of the relative
the regression analysis. We tried a
weights helps to ensure that payments
number of variations and combinations
reflect as much as possible the relative
of this, but RAND’s TEP generally
costs of IRF patients and, therefore, that
rejected these weighting schemes. They
beneficiaries have access to care and
believed that introducing elements of
subjectivity into the development of the receive the appropriate services.
Section 1886(j)(2)(C)(i) of the Act
weighting scheme may invite
requires the Secretary from time to time
controversy, and that it is better to use
to adjust the classifications and
an objective algorithm to derive the
weighting factors to reflect changes in
appropriate weights. We agree that an
treatment patterns, technology, case
objective weighting scheme is best
mix, number of payment units for which
because it is based on regression
payment to IRFs is made, and other
analysis of the amount that various
factors which may affect the relative use
components of the motor score index
of resources. In accordance with this
contribute to predicting patient costs,
section of the Act, we are proposing to
using the best available data we have.
Therefore, we are proposing a weighting recalculate a relative weight for each
scheme that applies the average optimal CMG that is proportional to the
resources needed by an average
weights. To develop the proposed
inpatient rehabilitation case in that
weighting scheme, RAND used
regression analysis to estimate the
CMG. For example, cases in a CMG with
relative contribution of each item to the a relative weight of 2, on average, would
prediction of costs. Based on this
cost twice as much as cases in a CMG
analysis, we are proposing to use the
with a relative weight of 1. We are not
TABLE
5.—PROPOSED
OPTIMAL
WEIGHTS, AVERAGED ACROSS REHABILITATION
IMPAIRMENT
CATEGORIES (RICS): MOTOR ITEMS—
Continued
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proposing any changes to the
methodology we are using for
calculating the relative weights, as
described in the August 7, 2001 final
rule (66 FR 41316, 41351 through
41353); we are only proposing to update
the relative weights themselves.
As previously stated, we believe that
improved coding of data, the availability
of more complete data, proposed
changes to the tier comorbidities and
CMGs, and changes in IRF cost
structures make it very unlikely that the
relative weights assigned to the CMGs
when the IRF PPS was first
implemented still accurately represent
the differences in costs across CMGs
and across tiers. Therefore, we are
proposing to recalculate the relative
weights. However, we are not proposing
any changes to the methodology for
calculating the relative weights. Instead,
we are proposing to update the relative
weights (the relative weights that are
multiplied by the standard payment
conversion factor to assign relative
payments for each CMG and tier) using
the same methodology as described in
the August 7, 2001 final rule (66 FR
41316, 41351 through 41353) and as
described in detail at the beginning of
this section of this proposed rule,
applied to FY 2003 Medicare billing
data. To summarize, we are proposing to
use the following basic steps to update
the relative weights: The first step in
calculating the CMG weights is to
estimate the effects that comorbidities
have on costs. The second step is to
adjust the cost of each Medicare
discharge (case) to reflect the effects
found in the first step. In the third step,
the adjusted costs from the second step
are used to calculate ‘‘relative adjusted
weights’’ in each CMG using the
hospital-specific relative value method.
The final steps are to calculate the CMG
relative weights by modifying the
‘‘relative adjusted weight’’ with the
effects of the existence of the
comorbidity tiers (explained below) and
normalize the weights to 1. Table 6
below shows the proposed relative
weights, based on the 2003 data.
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30218
BILLING CODE 4120–01–C
We are proposing to make the tier and
the CMG changes in such a way that
total estimated aggregate payments to
IRFs for FY 2006 are the same with and
without the proposed changes (that is,
in a budget neutral manner) for the
following reasons. First, we believe that
the results of RAND’s analysis of 2002
and 2003 IRF cost data suggest that
additional money does not need to be
added to the IRF PPS. RAND’s analysis
found, for example, that if all IRFs had
been paid based on 100 percent of the
IRF PPS payment rates throughout all of
2002 (some IRFs were still transitioning
to PPS payments during 2002), PPS
payments during 2002 would have been
17 percent higher than IRFs’ costs.
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Furthermore, RAND did not find
evidence that the overall costliness of
patients (average case mix) in IRFs
increased substantially in 2002
compared with 1999. As discussed in
detail in section III.A of this proposed
rule, RAND found that real case mix
increased by at most 1.5 percent, and
may have decreased by as much as 2.4
percent. The available evidence,
therefore, suggests that resources in the
IRF PPS are likely adequate to care for
the types of patients IRFs treat. We are
open to examining other evidence
regarding the amount of aggregate
payments in the system and the types of
patients IRFs are currently treating.
The purpose of the CMG and tier
changes is to ensure that the existing
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30219
resources already in the IRF PPS are
distributed better among IRFs according
to the relative costliness of the types of
patient they treat. Section
1886(j)(2)(C)(i) of the Act confers broad
statutory authority upon the Secretary to
adjust the classification and weighting
factors in order to account for relative
resource use. Consistent with that broad
statutory authority, we are proposing to
redistribute aggregate payments to more
accurately reflect the IRF case mix.
To ensure that total estimated
aggregate payments to IRFs do not
change, we propose to apply a factor to
the standard payment amount to ensure
that estimated aggregate payments
under this subsection in the FY are not
greater or less than those that would
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have been made in the year without
such adjustment. In section III.B.7 and
section III.B.8 of this proposed rule, we
discuss the methodology and factor we
are proposing to apply to the standard
payment amount.
III. Proposed FY 2006 Federal
Prospective Payment Rates
(If you choose to comment on issues in this
section, please include the caption
‘‘Proposed FY 2006 Federal Prospective
Payment Rates’’ at the beginning of your
comments.)
A. Proposed Reduction of the Standard
Payment Amount to Account for Coding
Changes
Section 1886(j)(2)(C)(ii) of the Act
requires the Secretary to adjust the per
payment unit payment rate for IRF
services to eliminate the effect of coding
or classification changes that do not
reflect real changes in case mix if the
Secretary determines that changes in
coding or classification of patients have
resulted or will result in changes in
aggregate payments under the
classification system. As described
below, in accordance with this section
of the Act and based on research
conducted by RAND under contract
with us, we are proposing to reduce the
standard payment amount for patients
treated in IRFs by 1.9 percent. However,
as discussed below, RAND found a
range of possible estimates that likely
accounts for the amount of case mix
change that was due to coding. In light
of the range of estimates that may be
appropriate, we are continuing to work
with RAND to further analyze the data
and are considering adoption of an
alternative percentage reduction.
Accordingly, we solicit comments on
whether the proposed 1.9 percent is the
percentage reduction that ought to be
made, or if another percentage reduction
(for example, the 3.4 percent observed
case mix change or the 5.8 percent that
RAND found in its study, detailed
below, to be the maximum amount of
change due to coding) should be
applied.
We are proposing to reduce the
standard payment amount by 1.9
percent because RAND’s regression
analysis of calendar year 2002 data
found that payments to IRFs were about
$140 million more than expected during
2002 because of changes in the
classification of patients in IRFs, and
that a portion of this increase in
payments was due to coding changes
that do not reflect real changes in case
mix. If IRF patients have more costly
impairments, lower functional status, or
more comorbidities, and thus require
more resources in the IRF in 2002 than
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in 1999, we would consider this a real
change in case mix. Conversely, if IRF
patients have the same impairments,
functional status, and comorbidities in
2002 as they did in 1999 but are coded
differently resulting in higher payment,
we consider this a case mix increase due
to coding. We believe that changes in
payment amounts should accurately
reflect changes in IRFs’ patient case mix
(that is, the true cost of treating
patients), and should not be influenced
by changes in coding practices.
Under the IRF PPS, payments for each
Medicare rehabilitation patient are
determined using a multi-step process.
First, a patient is assigned to a particular
CMG and a tier based on four patient
characteristics at admission:
impairment, functional independence,
comorbidities, and age. The amount of
the payment for each patient is then
calculated by taking the standard
payment conversion factor ($12,958 in
FY 2005) and adjusting it by
multiplying by a relative weight, which
depends on each patient’s CMG and tier
assignment.
For example, an 80-year old hip
replacement patient with a motor score
between 47 and 54 and no comorbidities
would be assigned to a particular CMG
and tier based on these characteristics.
The CMG and tier to which he is
assigned would have an associated
relative weight, in this case 0.5511 in
FY 2005 (69 FR at 45725). This relative
weight would be multiplied by the
standard payment conversion factor of
$12,958 to equal the payment of $7,141
in FY 2005 (0.5511 × $12,958 = $7,141).
Based on the following discussion, we
are proposing lowering the standard
payment amount by 1.9 percent to
account for coding changes that have
increased payments to IRFs. However,
we solicit comments regarding other
possible percentage reductions within
the range RAND identified, as discussed
below.
As described in the August 7, 2001
final rule, we contracted with RAND to
analyze IRF data to support our efforts
in developing the classification system
and the IRF PPS. We have continued
our contract with RAND to support us
in developing potential refinements to
the classification system and the PPS for
this proposed rule. As part of this
research, we asked RAND to examine
changes in case mix and coding since
the IRF PPS. To examine these changes,
RAND compared 2002 data from the
first year of implementation of the PPS
with the 1999 (pre-PPS) data used to
construct the IRF PPS.
RAND’s analysis of the 2002 data, as
described in more detail below,
demonstrates that changes in the types
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of patients going to IRFs and changes in
coding both caused increases in
payments to IRFs between 1999 and
2002. The 2002 data are more complete
than the 1999 data that were first used
to design the IRF PPS because they
include all Medicare-covered IRF cases.
Although the 1999 data we used in
designing the original standard payment
rate for the IRF PPS were the best
available data we had at the time, they
were based on a sample (64 percent) of
IRF cases.
In addition, such review was
necessary because, as explained below,
we believe that the implementation of
the IRF PPS caused important changes
in coding. The IRF PPS likely improved
the accuracy and consistency of coding
across IRFs, because of the educational
programs that were implemented in
2001 and 2002 and because items that
previously did not affect payments
(such as comorbidities) became
important factors for determining the
PPS payments. Since these items now
affect payments, there is greater
incentive to code for them. There were
also changes to the IRF–PAI instructions
given for coding some of the items on
the patient assessment instrument, so
that the same patient may have been
correctly coded differently in 2002 than
in 1999.
Furthermore, implementation of the
IRF PPS may have caused changes in
case mix because it increased incentives
for IRFs to take patients with greater
impairment, lower function, or
comorbidities. Under the Tax Equity
and Fiscal Responsibility Act of 1982
(TEFRA) (Pub. L. 97–248), IRFs were
paid on the basis of Medicare reasonable
costs limited by a facility-specific target
amount per discharge. IRFs were paid
on a per discharge basis without per
discharge adjustments being made for
the impairments, functional status, or
comorbidities of patients. Thus, IRFs
had a strong incentive to admit less
costly patients to ensure that the costs
of treating patients did not exceed their
TEFRA payments. Under the IRF PPS,
however, IRFs’ PPS payments are tied
directly to the principle diagnosis and
accompanying comorbidities of the
patient. Thus, based on the
characteristics of the patients (that is,
impairments, functional status, and
comorbidities), the more costly the
patient is expected to be, the higher the
PPS payment. Therefore, IRFs may have
greater incentives than they had under
TEFRA to admit more costly patients.
Thus, in light of these concerns,
RAND performed an analysis using IRF
Medicare claims data matched with FIM
and IRF–PAI data and comparing 2002
data (post-PPS) with 1999 data (pre-
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PPS), RAND found that the observed
case mix—the expected costliness of
patients—in IRFs increased by 3.4
percent between the two time periods.
Thus, we paid 3.4 percent, or about
$140 million, more than expected
during 2002 because of changes in the
classification of cases in IRFs. However,
RAND found little evidence that the
patients admitted to IRFs in 2002 had
higher resource needs (that is, more
impairments, lower functioning, or
more comorbidities) than the patients
admitted in 1999. In fact, most of the
changes in case mix that RAND
documented from the acute care
hospital records implied that IRF
patients should have been less costly to
treat in 2002 than in 1999. For example,
RAND found a 16 percent decrease in
the proportion of patients treated in
IRFs following acute hospitalizations for
stroke, when it compared the results of
the 2002 data with the 1999 data. Stroke
patients tend to be relatively more
costly than other types of patients for
IRFs because they tend to require more
intensive services than other types of
patients. A decrease in the proportion of
stroke patients relative to other types of
patients, therefore, would likely
contribute to a decrease in the overall
expected costliness of IRF patients.
RAND also found a 22 percent increase
in the proportion of cases treated in
IRFs following a lower extremity joint
replacement. Lower extremity joint
replacement patients tend to be
relatively less costly for IRFs than other
types of patients because their care
needs tend to be less intensive than
other types of patients. For this reason,
the increase in the proportion of these
patients treated in IRFs would suggest a
decrease in the overall expected
costliness of IRF patients.
We asked RAND to quantify the
amount of the case mix change that was
due to real case mix change (that is, the
extent to which IRF patients had more
impairments, lower functioning, or
more comorbidities) and the amount
that was due to coding. However, while
the data permit RAND to observe the
total change in expected costliness of
patients over time with some precision,
estimating the amount of this total
change that is real and the amount that
is due to coding generally cannot be
done with the same level of precision.
Therefore, in order to quantify the
amounts that were due to real case mix
change and the amounts that were due
to coding, RAND used two approaches
to give a range of estimates within
which the correct estimates would
logically fall—(1) one that potentially
underestimates the amount of real case
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mix change and overestimates the
amount of case mix change due to
coding; and (2) one that potentially
overestimates real change and
underestimates change due to coding.
These two approaches give us a range of
estimates, which we are confident
should logically border the actual
amount of real case mix and coding
change. The first approach uses the
following assumptions:
• Changes over time in characteristics
recorded during the acute
hospitalizations preceding the inpatient
rehabilitation facility stay were real case
mix changes (as acute care hospitals had
little incentive to change their coding of
patients in response to the IRF PPS);
and
• Changes over time in IRF coding
that did not correspond with changes in
the characteristics recorded during the
acute hospitalizations were attributable
to changes in IRF coding practices.
To illustrate this point, suppose, for
example, that the IRF records showed
that there were a greater number of
patients with a pulmonary condition in
IRFs in 2002 than in 1999. Patients with
a pulmonary condition tend to be
relatively more costly for IRFs to treat
than other types of patients, so an
increase in the number of these patients
would indicate an increase in the
costliness of IRF patients (that is, an
increase in IRFs’ case mix). However, in
2002 IRFs had a much greater incentive
to record if patients had a pulmonary
condition than they did in 1999 because
they got paid more for this condition in
2002, whereas they did not in 1999.
Therefore, it is reasonable to expect that
some of the increase in the number of
patients with a pulmonary condition
was due to the fact that IRFs were
recording that condition for patients
more frequently, not that there were
really more patients of that type
(although there may also have been
some more patients of that type). To
determine the extent to which IRFs may
have just been coding that condition
more often versus the extent to which
there actually may have been more
patients with a pulmonary condition
going to IRFs than before, RAND looked
at the one source of information that we
believe was least likely to be influenced
by the incentive to code patients with
this condition more frequently in the
IRF: the acute care hospital record from
the stay preceding the IRF stay. We
believe that the acute care hospitals are
not likely to be influenced by IRF PPS
policies that only affect IRF payments
(that is, changes in IRF payment policies
would not likely result in monetary
benefits to the acute care hospitals).
Thus, if RAND found a substantial
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increase in the number of IRF patients
with a pulmonary condition in the acute
care hospital before going to the IRF, it
would be reasonable to assume that
more patients with a pulmonary
condition were going to IRFs (a real
increase in case mix). However, if there
was little change in the number of IRF
patients with a pulmonary condition in
the acute care hospital before going to
the IRF, then we believe it is reasonable
to assume that a portion of the increase
in patients with a pulmonary condition
in IRFs was due to the incentives to
code more of these patients in the IRFs.
We believe that this first approach
shows that both factors, real case mix
change and coding change, contributed
to the amount of observed change in
2002, the first IRF PPS rate year.
However, these estimates (based on the
best available data) do not fully address
all of the variables that may have
contributed to the change in case mix.
For example, the model does not
account for the possibility that patients
could develop impairments, functional
problems, or comorbidities after they
leave the acute care hospital (prior to
the IRF admission) that would make
them more costly when they are in the
IRF. We note that the introduction of a
new payment system may have
interrelated effects on providers as they
adapt to new (or perceived) program
incentives. Thus, an analysis of first
year experience may not be fully
representative of providers’ behavior
under a fully implemented system. In
addition, hospital coding practices may
change at a different rate in facilities
where the IRF is a unit of an acute care
hospital compared with freestanding
IRF hospitals. Although we attempted to
identify all of the factors that cause the
variation in costs among the IRFs’
patient population, this may not have
been possible given that the data are
from the transitional year of the new
PPS. Finally, we want to ensure that the
rate reduction will not have an adverse
effect on beneficiaries’ access to IRF
care.
For the reasons described above, we
believe we should provide some
flexibility to account for the possibility
that some of the observed changes may
be attributable to other than coding
changes. Thus, in determining the
amount of the proposed reduction in the
standard payment amount, we
examined RAND’s second approach that
recognizes the difficulty of precise
measurement of real case mix and
coding changes. Using this second
approach, RAND developed an
analytical procedure that allowed them
to distinguish more fully between real
case mix change and coding change
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based on patient characteristics. In part,
this second approach involves analyzing
some specific examples of coding that
we know have changed over time, such
as direct indications of improvements in
impairment coding, changes in coding
instruction for bladder and bowel
functioning, and dramatic increases in
coding of certain conditions that affect
patients’ placement into tiers (resulting
in higher payments).
Using the two approaches, RAND
found that real case mix changes in IRFs
over this period ranged from a decrease
of 2.4 percent (using the first approach)
to an increase of 1.5 percent (using the
second approach). This suggests that
coding changes accounted for between
1.9 percent (if real case mix increased
by 1.5 percent (that is, 3.4 percent
minus 1.5 percent)) and 5.8 percent (if
real case mix decreased by 2.4 percent
(that is, 3.4 percent plus 2.4 percent)) of
the increase in aggregate payments for
2002 compared with 1999. Thus, RAND
recommended decreasing the standard
per discharge payment amount by
between 1.9 and 5.8 percent to adjust for
the coding changes. We are proposing to
reduce the standard payment amount by
the lower of these two numbers, 1.9
percent, because we believe it is a
reasonable estimate for the amount of
coding change, based on RAND’s
analysis of direct indications of coding
change.
We considered proposing a reduction
to the standard payment amount by an
amount up to 5.8 percent because
RAND’s first approach suggested that
coding changes could possibly have
been responsible for up to 5.8 percent of
the observed increase in IRFs’ case mix.
Furthermore, a separate analysis by
RAND found that if all IRFs had been
paid based on 100 percent of the IRF
PPS payment rates throughout all of
2002 (some IRFs were still transitioning
to PPS payments during 2002), PPS
payments during 2002 would have been
17 percent higher than IRFs’ costs. This
suggests that we could potentially have
proposed a reduction greater than 1.9
and up to 5.8 percent.
We decided to propose a reduction of
1.9 percent, the lowest possible amount
of change attributable to coding change.
However, we are continuing to work
with RAND to further analyze the data
and are soliciting comments on the
following factors which may have an
effect on the amount of the reduction.
First, whether changes that occurred
within the transitional IRF PPS rate year
could have impacted coding and patient
selection and affected these analyses.
Second, since we feel it is crucial to
maintain access to IRF care, we are
soliciting comments on the effect of the
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proposed range of reductions on access
to IRF care, particularly for patients
with greater resource needs. The
analyses described here are only the
first of an ongoing series of studies to
evaluate the existence and extent of
payment increases due to coding
changes. We will continue to review the
need for any further reduction in the
standard payment amount in
subsequent years as part of our overall
monitoring and evaluation of the IRF
PPS.
Therefore, for FY 2006, we are
proposing to reduce the standard
payment amount by the lowest amount
(1.9 percent) attributable to coding
changes. We believe this approach,
which is supported by RAND’s analysis
of the data, would adequately adjust for
the increased payments to IRFs caused
by purely coding changes, but would
still provide the flexibility to account
for the possibility that some of the
observed changes in case mix may be
attributed to other than coding changes.
Furthermore, we chose the amount of
the proposed reduction in the standard
payment amount in order to recognize
that IRFs’ current cost structures may be
changing as they strive to comply with
other recent Medicare policy changes,
such as the criteria for IRF classification
commonly known as the ‘‘75 percent
rule.’’ We are continuing to work with
RAND to analyze the data and are
soliciting comments on whether the
proposed 1.9 percent is the percentage
reduction that ought to be made, or if
another percentage reduction (for
example, the 3.4 percent observed case
mix change or the 5.8 percent that
RAND found to be maximum amount of
change due to coding) should be
applied.
To accomplish the proposed
reduction of the standard payment
conversion factor by 1.9 percent, we
first propose to update the FY 2005
standard payment conversion factor by
the estimated market basket of 3.1
percent to get the standard payment
amount for FY 2006 ($12,958*1.031 =
$13,360). Next, we propose to multiply
the FY 2006 standard payment amount
by 0.981, which reduces the standard
payment amount by 1.9 percent
($13,360*0.981 = $13,106). In section
III.B.7 of this proposed rule, we propose
to further adjust the $13,106 by the
proposed budget neutrality factors for
the wage index and the other proposed
refinements outlined in this proposed
rule that would result in the proposed
FY 2006 standard payment conversion
factor. In section III.B.7 of this proposed
rule, we provide a step-by-step
calculation that results in the FY 2006
standard payment conversion factor.
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B. Proposed Adjustments to Determine
the Proposed FY 2006 Standard
Payment Conversion Factor
1. Proposed Market Basket Used for IRF
Market Basket Index
Under the broad authority of section
1886(j)(3)(C) of the Act, the Secretary
establishes an increase factor that
reflects changes over time in the prices
of an appropriate mix of goods and
services included in covered IRF
services, which is referred to as a market
basket index. The market basket needs
to include both operating and capital.
Thus, although the Secretary is required
to develop an increase factor under
section 1886(j)(3)(C) of the Act, this
provision gives the Secretary discretion
in the design of such factor.
The index currently used to update
payments for rehabilitation facilities is
the Excluded hospital including capital
market basket. This market basket is
based on 1997 Medicare cost report data
and includes Medicare-participating
rehabilitation (IRF), LTCH, psychiatric
(IPF), cancer, and children’s hospitals.
We are unable to create a separate
market basket specifically for
rehabilitation hospitals due to the small
number of facilities and the limited data
that are provided (for instance, only
about 25 percent of rehabilitation
facility cost reports reported contract
labor cost data for 2002). Since all IRFs
are paid under the IRF PPS, nearly all
LTCHs are paid under the LTCH PPS,
and IPFs for cost reporting periods
beginning on or after January 1, 2005
will be paid under the IPF PPS, we
propose to update payments for
rehabilitation facilities using a market
basket reflecting the operating and
capital cost structures for IRFs, IPFs,
and LTCHs, hereafter referred to as the
RPL (rehabilitation, psychiatric, longterm care) market basket. We propose to
exclude children’s and cancer hospitals
from the RPL market basket because
their payments are based entirely on
reasonable costs subject to rate-ofincrease limits established under the
authority of section 1886(b) of the Act,
which is implemented in § 413.40 of the
regulations. They are not reimbursed
under a prospective payment system.
Also, the FY 2002 cost structures for
children’s and cancer hospitals are
noticeably different than the cost
structures of the IRFs, IPFs, and LTCHs.
The services offered in IRFs, IPFs, and
LTCHs are typically more laborintensive than those offered in cancer
and children’s hospitals. Therefore, the
compensation cost weights for IRFs,
IPFs, and LTCHs are larger than those in
cancer and children’s hospitals. In
addition, the depreciation cost weights
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for IRFs, IPFs, and LTCHs are noticeably
smaller than those for children’s and
cancer hospitals.
In the following discussion, we
provide a background on market baskets
and describe the methodologies used to
determine the operating and capital
portions of the proposed FY 2002-based
RPL market basket.
a. Overview of the Proposed RPL Market
Basket
The proposed RPL market basket is a
fixed weight, Laspeyres-type price index
that is constructed in three steps. First,
a base period is selected (in this case,
FY 2002), and total base period
expenditures are estimated for a set of
mutually exclusive and exhaustive
spending categories based upon type of
expenditure. Then the proportion of
total operating costs that each category
represents is determined. 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
price levels 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 for a
given period. 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 time period.
A market basket is described as a
fixed-weight index because it answers
the question of how much it would cost,
at another time, to purchase the same
mix of goods and services purchased to
provide hospital services in a base
period. The effects on total expenditures
resulting from changes in the quantity
or mix of goods and services (intensity)
purchased subsequent to the base period
are not measured. In this manner, the
market basket measures only the pure
price change. Only when the index is
rebased would the quantity and
intensity effects be captured in the cost
weights. Therefore, we rebase the
market basket periodically so the cost
weights reflect changes in the mix of
goods and services that hospitals
purchase (hospital inputs) to furnish
patient care between base periods.
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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, shifting the
base year cost structure from FY 1997 to
FY 2002). Revising means changing data
sources, methodology, or price proxies
used in the input price index. We are
proposing to rebase and revise the
market basket used to update the IRF
PPS.
b. Proposed Methodology for Operating
Portion of the Proposed RPL Market
Basket
The operating portion of the proposed
FY 2002-based RPL market basket
consists of several major cost categories
derived from the FY 2002 Medicare cost
reports for IRFs, IPFs, and LTCHs:
Wages, drugs, professional liability
insurance and a residual. We choose FY
2002 as the base year because we
believe this is the most recent, relatively
complete year of Medicare cost report
data. Due to insufficient Medicare cost
report data for IRFs, IPFs, and LTCHs,
cost weights for benefits, contract labor,
and blood and blood products were
developed using the proposed FY 2002based IPPS market basket (Section IV.
Proposed Rebasing and Revision of the
Hospital Market Baskets IPPS Hospital
Proposed Rule for FY 2006), which we
explain in more detail later in this
section. For example, less than 30
percent of IRFs, IPFs, and LTCHs
reported benefit cost data in FY 2002.
We have noticed an increase in cost data
for these expense categories over the last
4 years. The next time we rebase the
RPL market basket, there may be
sufficient IRFs, IPFs, and LTCHs cost
report data to develop the weights for
these expenditure categories.
Since the cost weights for the RPL
market basket are based on facility costs,
we are proposing to limit our sample to
hospitals with a Medicare average
length of stay within a comparable range
of the total facility average length of
stay. We believe this provides a more
accurate reflection of the structure of
costs for Medicare treatments. Our goal
is to measure cost shares that are
reflective of case mix and practice
patterns associated with providing
services to Medicare beneficiaries.
We propose to use those cost reports
for IRFs and LTCHs whose Medicare
average length of stay is within 15
percent (that is, 15 percent higher or
lower) of the total facility average length
of stay for the hospital. This is the same
edit applied to the FY 1992 and FY 1997
excluded hospital with capital market
baskets. We propose 15 percent because
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it includes those LTCHs and IRFs whose
Medicare LOS is within approximately
5 days of the facility length of stay.
We propose to use a less stringent
measure of Medicare length of stay for
IPFs whose average length of stay is
within 30 or 50 percent (depending on
the total facility average length of stay)
of the total facility length of stay. This
less stringent edit allows us to increase
our sample size by over 150 reports and
produce a cost weight more consistent
with the overall facility. The edit we
applied to IPFs when developing the
FY–1997 based excluded hospital with
capital market basket was based on the
best available data at the time.
The detailed cost categories under the
residual (that is, the remaining portion
of the market basket after excluding
wages and salaries, drugs, and
professional liability cost weights) are
derived from the proposed FY 2002based IPPS market basket and the 1997
Benchmark Input-Output Tables
published by the Bureau of Economic
Analysis, U.S. Department of
Commerce. The proposed FY 2002based IPPS market basket is developed
using FY 2002 Medicare hospital cost
reports with the most recent and
detailed cost data. The 1997 Benchmark
I–O is the most recent, comprehensive
source of cost data for all hospitals.
Proposed cost weights for benefits,
contract labor, and blood and blood
products were derived using the
proposed FY 2002-based IPPS market
basket. For example, the ratio of the
benefit cost weight to the wages and
salaries cost weight in the proposed FY
2002-based IPPS market basket was
applied to the RPL wages and salaries
cost weight to derive a benefit cost
weight for the RPL market basket. The
remaining proposed operating cost
categories were derived using the 1997
Benchmark Input-Output Tables aged to
2002 using relative price changes. (The
methodology we used to age the data
involves applying the annual price
changes from the price proxies to the
appropriate cost categories. We repeat
this practice for each year.) Therefore,
using this methodology roughly 59
percent of the proposed RPL market
basket is accounted for by wages, drugs
and professional liability insurance data
from FY 2002 Medicare cost report data
for IRFs, LTCHs, and IPFs.
Table 7 below sets forth the complete
proposed FY 2002-based RPL market
basket including cost categories,
weights, and price proxies. For
comparison purposes, the
corresponding FY 1997-based excluded
hospital with capital market basket is
listed as well.
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Wages and salaries are 52.895 percent
of total costs for the proposed FY 2002based RPL market basket compared to
47.335 percent for FY 1997-based
excluded hospital with capital market
basket. Employee benefits are 12.982
percent for the proposed FY 2002-based
RPL market basket compared to 10.244
percent for FY 1997-based excluded
hospital with capital market basket. As
a result, compensation costs (wages and
salaries plus employee benefits) for the
proposed FY 2002-based RPL market
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basket are 65.877 percent of costs
compared to 57.579 percent for the FY
1997-based excluded hospital with
capital market basket. Of the 8
percentage point difference between the
compensation shares, approximately 3
percentage points are due to the
proposed new base year (FY 2002
instead of FY 1997), 3 percentage points
are due to the revised length of stay edit
and the remaining 2 percentage points
are due to the proposed exclusion of
other hospitals (that is, only including
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IRFs, IPFs, and LTCHs in the market
basket).
Following the table is a summary
outlining the choice of the proxies used
for the operating portion of the
proposed market basket. The price
proxies for the proposed capital portion
are described in more detail in the
capital methodology section. (See
section III.B.1.c of this proposed rule.)
BILLING CODE 4120–01–P
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BILLING CODE 4120–01–C
Below we provide the proxies that we
are proposing to use for the FY 2002based RPL market basket. With the
exception of the Professional Liability
proxy, all the proposed price proxies for
the operating portion of the proposed
RPL market basket are based on Bureau
of Labor Statistics (BLS) data and are
grouped into one of the following BLS
categories:
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• Producer Price Indexes—Producer
Price Indexes (PPIs) measure price
changes for goods sold in other than
retail markets. PPIs are preferable price
proxies for goods that hospitals
purchase as inputs in producing their
outputs because the PPIs would better
reflect the prices faced by hospitals. For
example, we use a special PPI for
prescription drugs, rather than the
Consumer Price Index (CPI) for
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prescription drugs because hospitals
generally purchase drugs directly from
the wholesaler. The PPIs that we use
measure price change at the final stage
of production.
• Consumer Price Indexes—
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,
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we used CPIs only if an appropriate PPI
was not available, or if the expenditures
were more similar to those of retail
consumers in general rather than
purchases at the wholesale level. For
example, the CPI for food purchased
away from home is used as a proxy for
contracted food services.
• 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, they 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, 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 CPIs, PPIs, and ECIs
selected by us to be proposed in this
regulation meet these criteria.
We note that the proposed proxies are
the same as those used for the FY 1997based excluded hospital with capital
market basket. Because these proxies
meet our criteria of reliability,
timeliness, availability, and relevance,
we believe they continue to be the best
measure of price changes for the cost
categories. For further discussion on the
FY 1997-based excluded hospital with
capital market basket, see the IPPS final
rule (67 FR at 50042), published in the
Federal Register on August 1, 2002.
Wages and Salaries
For measuring the price growth of
wages in the proposed FY 2002-based
RPL market basket, we propose to use
the ECI for wages and salaries for
civilian hospital workers as the proxy
for wages.
Employee Benefits
The proposed FY 2002-based RPL
market basket would use the ECI for
employee benefits for civilian hospital
workers.
Nonmedical Professional Fees
The ECI for compensation for
professional and technical workers in
private industry would be applied to
this category since it includes
occupations such as management and
consulting, legal, accounting and
engineering services.
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Fuel, Oil, and Gasoline
The percentage change in the price of
gas fuels as measured by the PPI
(Commodity Code #0552) would be
applied to this component.
CUUR0000SEFV) would be applied to
this component.
Chemicals
Electricity
The percentage change in the price of
commercial electric power as measured
by the PPI (Commodity Code #0542)
would be applied to this component.
Water and Sewage
The percentage change in the price of
water and sewage maintenance as
measured by the Consumer Price Index
(CPI) for all urban consumers (CPI Code
# CUUR0000SEHG01) would be applied
to this component.
Professional Liability Insurance
The proposed FY 2002-based RPL
market basket would use the percentage
change in the hospital professional
liability insurance (PLI) premiums as
estimated by the CMS Hospital
professional liability index for the proxy
of this category. In the FY 1997-based
excluded hospital with capital market
basket, the same price proxy was used.
We continue to research options for
improving our proxy for professional
liability insurance. This research
includes exploring various options for
expanding our current survey, including
the identification of another entity that
would be willing to work with us to
collect more complete and
comprehensive data. We are also
exploring other options such as third
party or industry data that might assist
us in creating a more precise measure of
PLI premiums. At this time we have not
identified a preferred option, therefore,
no change is proposed for the proxy in
this proposed rule.
The percentage change in the price of
industrial chemical products as
measured by the PPI (Commodity Code
#061) would be applied to this
component. While the chemicals
hospital’s purchase include industrial as
well as other types of chemicals, the
industrial chemicals component
constitutes the largest proportion by far.
Thus, we believe that commodity Code
#061 is the appropriate proxy.
Medical Instruments
The percentage change in the price of
medical and surgical instruments as
measured by the PPI (Commodity Code
#1562) would be applied to this
component
Photographic Supplies
The percentage change in the price of
photographic supplies as measured by
the PPI (Commodity Code #1542) would
be applied to this component.
Rubber and Plastics
The percentage change in the price of
rubber and plastic products as measured
by the PPI (Commodity Code #07)
would be applied to this component.
Paper Products
The percentage change in the price of
converted paper and paperboard
products as measured by the PPI
(Commodity Code #0915) would be
used.
Apparel
The percentage change in the price of
apparel as measured by the PPI
(Commodity Code #381) would be
applied to this component.
Pharmaceuticals
Machinery and Equipment
The percentage change in the price of
prescription drugs as measured by the
PPI (PPI Code # PPI32541DRX) would
be used as a proxy for this category.
This is a special index produced by BLS
and is the same proxy used in the 1997based excluded hospital with capital
market basket.
The percentage change in the price of
machinery and equipment as measured
by the PPI (Commodity Code #11)
would be applied to this component.
Food, Direct Purchases
The percentage change in the price of
processed foods and feeds as measured
by the PPI (Commodity Code #02)
would be applied to this component.
Food, Contract Services
The percentage change in the price of
food purchased away from home as
measured by the CPI for all urban
consumers (CPI Code #
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Miscellaneous Products
The percentage change in the price of
all finished goods less food and energy
as measured by the PPI (Commodity
Code #SOP3500) would be applied to
this component. Using this index would
remove the double-counting of food and
energy prices, which are captured
elsewhere in the market basket. The
weight for this cost category is higher
than in the 1997-based index because
the weight for blood and blood products
(1.322) is added to it. In the 1997-based
excluded hospital with capital market
basket we included a separate cost
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category for blood and blood products,
using the BLS Producer Price Index for
blood and derivatives as a price proxy.
A review of recent trends in the PPI for
blood and derivatives suggests that its
movements may not be consistent with
the trends in blood costs faced by
hospitals. While this proxy did not
match exactly with the product
hospitals are buying, its trend over time
appears to be reflective of the historical
price changes of blood purchased by
hospitals. However, an apparent
divergence in trends in the PPI for blood
and derivatives and trends in blood
costs faced by hospitals over recent
years led us to reevaluate whether the
PPI for blood and derivatives was an
appropriate measure of the changing
price of blood. We ran test market
baskets classifying blood in 3 separate
cost categories: blood and blood
products, contained within chemicals as
was done for the 1992-based excluded
hospital with capital market basket, and
within miscellaneous products. These
categories use as proxies the following
PPIs: the PPI for blood and blood
products, the PPI for chemicals, and the
PPI for finished goods less food and
energy, respectively. Of these three
proxies, the PPI for finished goods less
food and energy moved most like the
recent blood cost and price trends. In
addition, the impact on the overall
market basket by using different proxies
for blood was negligible, mostly due to
the relatively small weight for blood in
the market basket.
Therefore, we are proposing to use the
PPI for finished goods less food and
energy for the blood proxy because we
believe it would best be able to proxy
only price changes rather than nonprice
factors such as changes in quantities or
required tests associated with blood
purchased by hospitals. We will
continue to evaluate this proxy for its
appropriateness and will explore the
development of alternative price
indexes to proxy the price changes
associated with this cost.
Telephone
The percentage change in the price of
telephone services as measured by the
CPI for all urban consumers (CPI Code
# CUUR0000SEED) would be applied to
this component.
Postage
The percentage change in the price of
postage as measured by the CPI for all
urban consumers (CPI Code #
CUUR0000SEEC01) would be applied to
this component.
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Proposed Changes for All Other
Services, Labor Intensive
The percentage change in the ECI for
compensation paid to service workers
employed in private industry would be
applied to this component.
All Other Services, Nonlabor Intensive
The percentage change in the allitems component of the CPI for all urban
consumers (CPI Code # CUUR0000SA0)
would be applied to this component.
c. Proposed Methodology for Capital
Portion of the RPL Market Basket
Unlike for the operating costs of the
proposed FY 2002-based RPL market
basket, we did not have IRFs, IPFs, and
LTCHs FY 2002 Medicare cost report
data for the capital cost weights, due to
a change in the FY 2002 cost reporting
requirements. Rather, we used these
hospitals’ expenditure data for the
capital cost categories of depreciation,
interest, and other capital expenses for
the most recent year available (FY
2001), and aged the data to a FY 2002
base year using relevant price proxies.
We calculated weights for the RPL
market basket capital costs using the
same set of Medicare cost reports used
to develop the operating share for IRFs,
IPFs, and LTCHs. The resulting
proposed capital weight for the FY 2002
base year is 10.149 percent. This is
based on FY 2001 Medicare cost report
data for IRFs, IPFs, and LTCHs, aged to
FY 2002 using relevant price proxies.
Lease expenses are not a separate cost
category in the market basket, but are
distributed among the cost categories of
depreciation, interest, and other,
reflecting the assumption that the
underlying cost structure of leases is
similar to capital costs in general. We
assumed 10 percent of lease expenses
are overhead and assigned them to the
other capital expenses cost category as
overhead. We base this assignment of 10
percent of lease expenses to overhead
on the common assumption that
overhead is 10 percent of costs. The
remaining lease expenses were
distributed to the three cost categories
based on the weights of depreciation,
interest, and other capital expenses not
including lease expenses.
Depreciation contains two
subcategories: building and fixed
equipment and movable equipment. The
split between building and fixed
equipment and movable equipment was
determined using the FY 2001 Medicare
cost reports for IRFs, IPFs, and LTCHs.
This methodology was also used to
compute the 1997-based index (67 FR at
50044).
Total interest expense cost category is
split between the government/nonprofit
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and for-profit hospitals. The 1997-based
excluded hospital with capital market
basket allocated 85 percent of the total
interest cost weight to the government/
nonprofit interest, proxied by average
yield on domestic municipal bonds, and
15 percent to for-profit interest, proxied
by average yield on Moody’s Aaa bonds.
We propose to derive the split using
the relative FY 2001 Medicare cost
report data for IPPS hospitals on interest
expenses for the government/nonprofit
and for-profit hospitals. Due to
insufficient Medicare cost report data
for IRFs, IPFs and LTCHs, we propose
to use the same split used in the IPPS
capital input price index, which is 75–
25. We believe it is important that this
split reflects the latest relative cost
structure of interest expenses for
hospitals. Therefore, we propose to use
a 75–25 split to allocate interest
expenses to government/nonprofit and
for-profit. See the Proposed IPPS Rule
for FY 2006, Section IV.D, Capital Input
Price Index Section.
Since 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 index 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 purchase patterns of building and
fixed equipment and movable
equipment over time. Depreciation and
interest expenses are determined by the
amount of past and current capital
purchases. Therefore, we are proposing
to use the vintage weights to compute
vintage-weighted price changes
associated with depreciation and
interest expense.
Vintage weights are an integral part of
the proposed FY 2002-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 2002-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, 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
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for Medicare capital-related costs. The
capital component of the proposed FY
2002-based RPL market basket would
reflect the underlying stability of the
capital acquisition process and provide
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 the
best 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 because these data were not
required. While the AHA Panel Survey
provided a consistent database back to
1963, it did not provide annual capital
purchases. The AHA Panel Survey
provided a time series of depreciation
expenses through 1997 which could be
used to infer capital purchases over
time. From 1998 to 2001, total hospital
depreciation expenses were calculated
by multiplying the AHA Annual Survey
total hospital expenses by the ratio of
depreciation to total hospital expenses
from the Medicare cost reports.
Beginning in 2001, the AHA Annual
survey began collecting depreciation
expenses. We hope to be able to use this
data in future rebasings.
In order to estimate capital purchases
from AHA data on depreciation and
interest expenses, the expected life for
each cost category (building and fixed
equipment, movable equipment, and
debt instruments) is needed. Due to
insufficient Medicare cost report data
for IRFs, IPFs and LTCHs, we propose
to use FY 2001 Medicare cost reports for
IPPS hospitals to determine the
expected life of building and fixed
equipment and movable equipment. 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. From the FY 2001
Medicare cost reports for IPPS hospitals
the expected life of building and fixed
equipment was determined to be 23
years, and the expected life of movable
equipment was determined to be 11
years.
Although we are proposing to use this
methodology for deriving the useful life
of an asset, we plan to review it between
the publication of the proposed and
final rules. We plan to review alternate
data sources, if available, and analyze in
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more detail the hospital’s capital cost
structure reported in the Medicare cost
reports.
We also propose to use the fixed and
movable weights derived from FY 2001
Medicare cost reports for IRFs, IPFs and
LTCHs to separate the depreciation
expenses into annual amounts of
building and fixed equipment
depreciation and movable equipment
depreciation. By multiplying the annual
depreciation amounts by the expected
life calculations from the FY 2001
Medicare cost reports, year-end asset
costs for building and fixed equipment
and movable equipment could be
determined. 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, movable equipment, and
debt instruments. Each of these sets of
vintage weights are explained in detail
below.
For proposed building and fixed
equipment vintage weights, the real
annual capital purchase amounts for
building and fixed equipment derived
from the AHA Panel Survey were used.
The real annual purchase amount was
used to capture the actual amount of the
physical acquisition, net of the effect of
price inflation. This real annual
purchase amount for building and fixed
equipment was produced by deflating
the nominal annual purchase amount by
the building and fixed equipment price
proxy, the Boeckh Institutional
Construction Index. This is the same
proxy used for the FY 1997-based
excluded hospital with capital market
basket. We believe this proxy continues
to meet our criteria of reliability,
timeliness, availability, and relevance.
Since building and fixed equipment has
an expected life of 23 years, the vintage
weights for building and fixed
equipment are deemed to represent the
average purchase pattern of building
and fixed equipment over 23-year
periods. With real building and fixed
equipment purchase estimates available
back to 1963, sixteen 23-year periods
could be averaged 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 23-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 23-year period. This
calculation is done for each year in the
23-year period, and for each of the
sixteen 23-year periods. The average of
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each year across the sixteen 23-year
periods is used to determine the 2002
average building and fixed equipment
vintage weights.
For proposed movable equipment
vintage weights, the real annual capital
purchase amounts for movable
equipment derived from the AHA Panel
Survey 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 amount by
the movable equipment price proxy, the
Producer Price Index for Machinery and
Equipment. This is the same proxy used
for the FY 1997-based excluded hospital
with capital market basket. We believe
this proxy, which meets our criteria, is
the best measure of price changes for
this cost category. Since movable
equipment has an expected life of 11
years, the vintage weights for movable
equipment are deemed to represent the
average purchase pattern of movable
equipment over 11-year periods. With
real movable equipment purchase
estimates available back to 1963,
twenty-eight 11-year periods could be
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 would be calculated by
dividing the real movable capital
purchase amount for any given year by
the total amount of purchases in the 11year period. This calculation is done for
each year in the 11-year period, and for
each of the twenty-eight 11-year
periods. The average of each year across
the twenty-eight 11-year periods would
be used to determine the FY 2002
average movable equipment vintage
weights.
For proposed interest vintage weights,
the nominal annual capital purchase
amounts for total equipment (building
and fixed, and movable) derived from
the AHA Panel and Annual Surveys
were used. Nominal annual purchase
amounts were used to capture the value
of the debt instrument. Since hospital
debt instruments have an expected life
of 23 years, the vintage weights for
interest are deemed to represent the
average purchase pattern of total
equipment over 23-year periods. With
nominal total equipment purchase
estimates available back to 1963, sixteen
23-year periods could be averaged to
determine the average vintage weights
for interest that are representative of
average capital purchase patterns over
time. Vintage weights for each 23-year
period would be calculated by dividing
the nominal total capital purchase
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amount for any given year by the total
amount of purchases in the 23-year
period. This calculation would be done
for each year in the 23-year period and
for each of the sixteen 23-year periods.
The average of the sixteen 23-year
periods would be used to determine the
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FY 2002 average interest vintage
weights. The vintage weights for the
index are presented in Table 8 below.
In addition to the proposed price
proxies for depreciation and interest
costs described above in the vintage
weighted capital section, we propose to
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30231
use the CPI–U for Residential Rent as a
price proxy for other capital-related
costs. The price proxies for each of the
capital cost categories are the same as
those used for the IPPS final rule (67 FR
at 50044) capital input price index.
BILLING CODE 4120–01–P
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BILLING CODE 4120–01–C
The proposed FY 2006 update for IRF
PPS using the proposed FY 2002-based
RPL market basket and Global Insight’s
4th quarter 2004 forecast is be 3.1
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percent. This includes increases in both
the operating section and the capital
section. Global Insight, Inc. is a
nationally recognized economic and
financial forecasting firm that contracts
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with CMS to forecast the components of
the market baskets. Using the current FY
1997-based excluded hospital with
capital market basket (66 FR at 41427),
Global Insight’s fourth quarter 2004
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forecast for FY 2006 is also 3.1 percent.
Table 4 below compares the proposed
FY 2002-based RPL market basket and
the FY 1997-based excluded hospital
with capital market basket percent
changes. For both the historical and
forecasted periods between FY 2000 and
FY 2008, the difference between the two
market baskets is minor with the
exception of FY 2002 where the
proposed FY 2002-based RPL market
basket increased three tenths of a
percentage point higher than the FY
1997-based excluded hospital with
capital market basket. This is primarily
due to the proposed FY 2002-based RPL
market basket having a larger
compensation (that is, the sum of wages
and salaries and benefits) cost weight
than the FY 1997-based index and the
30233
price changes associated with
compensation costs increasing much
faster than the prices of other market
basket components. Also contributing is
the ‘‘all other nonlabor intensive’’ cost
weight, which is smaller in the
proposed FY 2002-based RPL market
basket than in the FY 1997-based index,
and the slower price changes associated
with these costs.
TABLE 9.—PROPOSED FY 2002-BASED RPL MARKET BASKET AND FY 1997-BASED EXCLUDED HOSPITAL WITH CAPITAL
MARKET BASKET PERCENT CHANGES, FY 2000–FY 2008
Proposed rebased
FY 2002-based
RPL market basket
Fiscal year (FY)
FY 1997-based excluded hospital
market basket with
capital
3.1
4.0
3.9
3.8
3.6
3.7
3.1
4.0
3.6
3.7
3.6
3.6
3.7
3.1
2.9
2.9
3.2
3.8
3.1
2.8
2.8
3.1
Historical data:
FY 2000 ............................................................................................................................................
FY 2001 ............................................................................................................................................
FY 2002 ............................................................................................................................................
FY 2003 ............................................................................................................................................
FY 2004 ............................................................................................................................................
Average FYs 2000–2004 ..................................................................................................................
Forecast:
FY 2005 ............................................................................................................................................
FY 2006 ............................................................................................................................................
FY 2007 ............................................................................................................................................
FY 2008 ............................................................................................................................................
Average FYs 2005–2008 ..................................................................................................................
Source: Global Insight, Inc. 4th Qtr 2004, @USMACRO/CNTL1104 @CISSIM/TL1104.SIM
d. Labor-Related Share
Section 1886(j)(6) of the Act specifies
that the 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 shall be
made in a manner that assures that the
aggregated payments under this
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subsection in the fiscal year are not
greater or less than those that would
have been made in the year without
such adjustment.
The labor-related share is determined
by identifying the national average
proportion of operating costs that are
related to, influenced by, or vary with
the local labor market. Using our current
definition of labor-related, the laborrelated share is the sum of the relative
importance of wages and salaries, fringe
benefits, professional fees, laborintensive services, and a portion of the
capital share from an appropriate
market basket. We used the proposed
FY 2002-based RPL market basket costs
to determine the proposed labor-related
share for the IRF PPS. The proposed
labor-related share for FY 2006 would
be the sum of the proposed FY 2006
relative importance of each labor-related
cost category, and would reflect the
different rates of price change for these
cost categories between the base year
(FY 2002) and FY 2006. The sum of the
proposed relative importance for FY
2006 for operating costs (wages and
salaries, employee benefits, professional
fees, and labor-intensive services)
would be 71.782 percent, as shown in
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the chart below. The portion of capital
that is influenced by local labor markets
would estimated to be 46 percent,
which is the same percentage currently
used in the IRF prospective payment
system. Since the relative importance
for capital would be 9.079 percent of the
proposed FY 2002-based RPL market
basket in FY 2006, we are proposing to
take 46 percent of 9.079 percent to
determine the proposed capital laborrelated share for FY 2006. The result
would be 4.176 percent, which we
propose to add to 71.782 percent for the
operating cost amount to determine the
total proposed labor-related share for FY
2006. Thus, the labor-related share that
we propose to use for IRF PPS in FY
2006 would be 75.958 percent. This
proposed labor-related share is
determined using the same methodology
as employed in calculating all previous
IRF labor-related shares (66 FR at
41357).
Table 10 below shows the proposed
FY 2006 relative importance laborrelated share using the proposed 2002based RPL market basket and the FY
1997-based excluded hospital with
capital market.
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TABLE 10.—PROPOSED TOTAL LABOR-RELATED SHARE
Proposed FY 2002based RPL market
basket relative importance (percent)
FY 2006
FY 1997 excluded
hospital with capital
market basket relative importance
(percent) FY 2006
Wages and salaries .................................................................................................................................
Employee benefits ...................................................................................................................................
Professional fees .....................................................................................................................................
All other labor intensive services .............................................................................................................
52.823
13.863
2.907
2.189
48.432
11.415
4.540
4.496
Subtotal .............................................................................................................................................
Labor-related share of capital costs ........................................................................................................
71.782
4.176
68.883
3.307
Total ..................................................................................................................................................
75.958
72.190
Cost category
We are currently continuing an
evaluation of our labor-related share
methodology used in the IPPS (see 67
FR at 31447 for discussion of our
previous analysis). Our evaluation
includes regression analysis and
reviewing the makeup of cost categories
based on our current labor-related
definition. A complete discussion of our
research is provided in the FY 2006
IPPS proposed rule (See FY 2006 IPPS
proposed rule, Section IV, B, 3). The
labor-related share used in the IPPS was
the first labor-related share used in a
prospective payment system. Our
methodology for calculating the
proposed labor-related share for the IRF
PPS is based upon the methodology
used in the IPPS.
2. Proposed Area Wage Adjustment
Section 1886(j)(6) of the Act requires
the Secretary to adjust the proportion
(as estimated by the Secretary from time
to time) of rehabilitation facilities’ costs
that are attributable to wages and wagerelated costs 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. Not later than
October 1, 2001 and at least every 36
months thereafter, the Secretary is
required to 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
section 1886(j)(6) of the Act for a FY
shall be made in a manner that assures
the aggregated payments under section
1886(j)(6) of the Act are not greater or
less than those that would have been
made in the year without such
adjustment.
In our August 1, 2003 final rule, we
acknowledged that on June 6, 2003, the
Office of Management and Budget
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(OMB) issued ‘‘OMB Bulletin No.03–
04,’’ announcing revised definitions of
Metropolitan Statistical Areas, and new
definitions of Micropolitan Statistical
Areas and Combined Statistical Areas. A
copy of the Bulletin may be obtained at
the following Internet address: https://
www.whitehouse.gov/omb/bulletins/
b03–04.html. At that time, we did not
propose to apply these new definitions
known as the Core-Based Statistical
Areas (CBSAs). After further analysis
and discussed in detail below, we are
proposing to use revised labor market
area definitions as a result of the OMB
revised definitions to adjust the FY 2006
IRF PPS payment rate. In addition, the
IPPS is applying these revised
definitions as discussed in the August
11, 2004 final rule (69 FR at 49207).
a. Proposed Revisions of the IRF PPS
Geographic Classification
As discussed in the August 7, 2001
final rule, which implemented the IRF
PPS (66 FR at 41316), in establishing an
adjustment for area wage levels under
§ 412.624(e)(1), the labor-related portion
of an IRF’s Federal prospective payment
is adjusted by using an appropriate
wage index. As set forth in
§ 412.624(e)(1), an IRF’s wage index is
determined based on the location of the
IRF in an urban or rural area as defined
in § 412.602 and further defined in
§ 412.62(f)(1)(ii) and § 412.62(f)(1)(iii) as
urban and rural areas, respectively. An
urban area, under the IRF PPS, is
defined in § 412.62(f)(1)(ii) as a
Metropolitan Statistical Area (MSA) or
New England County Metropolitan Area
(NECMA) as defined by the Office of
Management and Budget (OMB). Under
§ 412.62(f)(1)(iii), a rural area is defined
as any area outside of an urban area. In
general, an urban area is defined as a
Metropolitan Statistical Area (MSA) or
New England County Metropolitan Area
(NECMA) as defined by the Office of
Management and Budget. Under
§ 412.62(f)(1)(iii), a rural area is defined
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as any area outside of an urban area.
The urban and rural area geographic
classifications defined in
§ 412.62(f)(1)(ii) and (f)(1)(iii),
respectively, were used under the IPPS
from FYs 1985 through 2004 (as
specified in § 412.63(b)), and have been
used under the IRF PPS since it was
implemented for cost reporting periods
beginning on or after January 1, 2002.
The wage index used for the IRF PPS
is calculated by using the acute care
IPPS wage index data on the basis of the
labor market area in which the acute
care hospital is located, but without
taking into account geographic
reclassification under sections
1886(d)(8) and (d)(10) of the Act and
without applying the ‘‘rural floor’’
under section 4410 of Pub. L. 105–33
(BBA). In addition, Section 4410 of Pub.
L. 105–33 (BBA) provides that for the
purposes of section 1886(d)(3)(E) of the
Act, that the area wage index applicable
to hospitals located in an urban area of
a State may not be less than the area
wage index applicable to hospitals
located in rural areas in the State.
Consistent with past IRF policy, we treat
this provision, commonly referred to as
the ‘‘rural floor’’, as applicable to the
acute inpatient hospitals and not IRFs.
Therefore, the hospital wage index used
for IRFs is commonly referred to as
‘‘pre-floor’’ indicating that ‘‘rural floor’’
provision is not applied. As a result, the
applicable IRF wage index value is
assigned to the IRF on the basis of the
labor market area in which the IRF is
geographically located.
Below, we will provide a description
of the current labor markets that have
been used for area wage adjustments
under the IRF PPS since its
implementation of cost reporting
periods beginning on or after January 1,
2002. Previously, we have not described
the labor market areas used under the
IRF PPS in detail, although we have
published each area’s wage index in
tables, in the IRF PPS final rules and
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update notices, each year and noted the
use of the geographic area in applying
the wage index adjustment in IRF PPS
payment examples in the final
regulation implementing the IRF PPS
(69 FR at 41367 through 41368). The IRF
industry has also understood that the
same labor market areas in use under
the IPPS (from the time the IRF PPS was
implemented, for cost reporting periods
beginning on or after January 1, 2002)
would be used under the IRF PPS. The
OMB has adopted new statistical area
definitions (as discussed in greater
detail below) and we are proposing to
adopt new labor market area definitions
based on these areas under the IRF PPS
(as discussed in greater detail below).
Therefore, we believe it is helpful to
provide a more detailed description of
the current IRF PPS labor market areas,
in order to better understand the
proposed change to the IRF PPS labor
market areas presented below in this
proposed rule.
The current IRF PPS labor market
areas are defined based on the
definitions of MSAs, Primary MSAs
(PMSAs), and NECMAs issued by the
OMB (commonly referred to collectively
as ‘‘MSAs’’). These MSA definitions,
which are discussed in greater detail
below, are currently used under the IRF
PPS and other prospective payment
systems, such as LTCH, IPF, Home
Health Agency (HHA), and SNF (Skilled
Nursing Facility) PPSs. In the IPPS final
rule (67 FR at 49026 through 49034),
revised labor market area definitions
were adopted under the hospital IPPS
(§ 412.64(b)), which were effective
October 1, 2004 for acute care hospitals.
These new CBSAs standards were
announced by the OMB late in 2000.
b. Current IRF PPS Labor Market Areas
Based on MSAs
As mentioned earlier, since the
implementation of the IRF PPS in the
August 7, 2001 IRF PPS final rule, we
have used labor market areas to further
characterize urban and rural areas as
determined under § 412.602 and further
defined in § 412.62(f)(1)(ii) and
(f)(1)(iii). To this end, we have defined
labor market areas under the IRF PPS
based on the definitions of MSAs,
PMSAs, and NECMAs issued by the
OMB, which is consistent with the IPPS
approach. The OMB also designates
Consolidated MSAs (CMSAs). A CMSA
is a metropolitan area with a population
of 1 million or more, comprising two or
more PMSAs (identified by their
separate economic and social character).
For purposes of the wage index, we use
the PMSAs rather than CMSAs because
they allow a more precise breakdown of
labor costs (as further discussed in
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section III.B.2.d.ii of this proposed rule).
If a metropolitan area is not designated
as part of a PMSA, we use the
applicable MSA.
These different designations use
counties as the building blocks upon
which they are based. Therefore, IRFs
are assigned to either an MSA, PMSA,
or NECMA based on whether the county
in which the IRF is located is part of
that area. All of the counties in a State
outside a designated MSA, PMSA, or
NECMA are designated as rural. For the
purposes of calculating the wage index,
we combine all of the counties in a State
outside a designated MSA, PMSA, or
NECMA together to calculate the
statewide rural wage index for each
State.
c. Core-Based Statistical Areas (CBSAs)
OMB reviews its Metropolitan Area
definitions preceding each decennial
census. As discussed in the IPPS final
rule (69 FR at 49027), in the fall of 1998,
OMB chartered the Metropolitan Area
Standards Review Committee to
examine the Metropolitan Area
standards and develop
recommendations for possible changes
to those standards. Three notices related
to the review of the standards, providing
an opportunity for public comment on
the recommendations of the Committee,
were published in the Federal Register
on the following dates: December 21,
1998 (63 FR at 70526); October 20, 1999
(64 FR at 56628); and August 22, 2000
(65 FR at 51060).
In the December 27, 2000 Federal
Register (65 FR at 82228 through
82238), OMB announced its new
standards. In that notice, OMB defines
CBSA, beginning in 2003, as ‘‘a
geographic entity associated with at
least one core of 10,000 or more
population, plus adjacent territory that
has a high degree of social and
economic integration with the core as
measured by commuting ties.’’ The
standards designate and define two
categories of CBSAs: MSAs and
Micropolitan Statistical Areas (65 FR at
82235 through 82238).
According to OMB, MSAs are based
on urbanized areas of 50,000 or more
population, and Micropolitan Statistical
Areas (referred to in this discussion as
Micropolitan Areas) are based on urban
clusters of at least 10,000 population,
but less than 50,000 population.
Counties that do not fall within CBSAs
(either MSAs or Micropolitan Areas) are
deemed ‘‘Outside CBSAs.’’ In the past,
OMB defined MSAs around areas with
a minimum core population of 50,000,
and smaller areas were ‘‘Outside
MSAs.’’ On June 6, 2003, OMB
announced the new CBSAs, comprised
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30235
of MSAs and the new Micropolitan
Areas based on Census 2000 data. (A
copy of the announcement may be
obtained at the following Internet
address: https://www.whitehouse.gov/
omb/bulletins/fy04/b04–03.html.)
The new CBSA designations
recognize 49 new MSAs and 565 new
Micropolitan Areas, and revise the
composition of many of the existing
MSAs. There are 1,090 counties in
MSAs under the new CBSA
designations (previously, there were 848
counties in MSAs). Of these 1,090
counties, 737 are in the same MSA as
they were prior to the change in
designations, 65 are in a different MSA,
and 288 were not previously designated
to any MSA. There are 674 counties in
Micropolitan Areas. Of these, 41 were
previously in an MSA, while 633 were
not previously designated to an MSA.
There are five counties that previously
were designated to an MSA but are no
longer designated to either an MSA or
a new Micropolitan Area: Carter County,
KY; St. James Parish, LA; Kane County,
UT; Culpepper County, VA; and King
George County, VA. For a more detailed
discussion of the conceptual basis of the
new CBSAs, refer to the IPPS final rule
(67 FR at 49026 through 49034).
d. Proposed Revisions to the IRF PPS
Labor Market Areas
In its June 6, 2003 announcement,
OMB cautioned that these new
definitions ‘‘should not be used to
develop and implement Federal, State,
and local nonstatistical programs and
policies without full consideration of
the effects of using these definitions for
such purposes. These areas should not
serve as a general-purpose geographic
framework for nonstatistical activities,
and they may or may not be suitable for
use in program funding formulas.’’
We currently use MSAs to define
labor market areas for purposes of the
wage index. In fact, MSAs are also used
to define labor market areas for
purposes of the wage index for many of
the other Medicare prospective payment
systems (for example, LTCH, SNF, HHA,
IPF, and Outpatient). While we
recognize MSAs are not designed
specifically to define labor market areas,
we believe they represent a reasonable
and appropriate proxy for this purpose,
because they are based upon
characteristics we believe also generally
reflect the characteristics of unified
labor market areas. For example, CBSAs
reflect a core population plus an
adjacent territory that reflects a high
degree of social and economic
integration. This integration is measured
by commuting ties, thus demonstrating
that these areas may draw workers from
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the same general areas. In addition, the
most recent CBSAs reflect the most up
to date information. The OMB reviews
its MA definitions preceding each
decennial census to reflect recent
population changes and the CBSAs are
based on the Census 2000 data. Our
analysis and discussion here are focused
on issues related to adopting the new
CBSA designations to define labor
market areas for the purposes of the IRF
PPS.
Historically, Medicare PPSs have
utilized Metropolitan Area (MA)
definitions developed by OMB. The
labor market areas currently used under
the IRF PPS are based on the MA
definitions issued by OMB. OMB
reviews its MA definitions preceding
each decennial census to reflect more
recent population changes. Thus, the
CBSAs are OMB’s latest MA definitions
based on the Census 2000 data. Because
we believe that the OMB’s latest MA
designations more accurately reflect the
local economies and wage levels of the
areas in which hospitals are currently
located, we are proposing to adopt the
revised labor market area designations
based on the OMB’s CBSA designations.
As specified in § 412.624(e)(1), we
explained in the August 7, 2001 final
rule that the IRF PPS wage index
adjustment was intended to reflect the
relative hospital wage levels in the
geographic area of the hospital as
compared to the national average
hospital wage level. Since OMB’s CBSA
designations are based on Census 2000
data and reflect the most recent
available geographic classifications, we
are proposing to revise the labor market
area definitions used under the IRF PPS.
Specifically, we are proposing to revise
the IRF PPS labor market definitions
based on the OMB’s new CBSA
designations effective for IRF PPS
discharges occurring on or after October
1, 2005. Accordingly, we are proposing
to revise § 412.602 to specify that for
discharges occurring on or after October
1, 2005, the application of the wage
index under the IRF PPS would be made
on the basis of the location of the
facility in an urban or rural area as
defined in § 412.64(b)(1)(ii)(A) through
(C). (As a conforming change, we are
also proposing to revise § 412.602,
definitions for rural and urban areas
effective for discharges occurring on or
after October 1, 2005 would be defined
in § 412.64(b)(1)(ii)(A) through (C). To
further clarify, we will revise the
regulation text to explicitly reference
urban and rural definitions for a costreporting period beginning on or after
January 1, 2002, with respect to
discharges occurring during the period
covered by such cost reports but before
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October 1, 2005 under § 412.62(f)(1)(ii)
and § 412.62(f)(1)(iii)).
We note that these are the same labor
market area definitions (based on the
OMB’s new CBSA designations)
implemented under the IPPS at
§ 412.64(b), which were effective for
those hospitals beginning October 1,
2004 as discussed in the IPPS final rule
(69 FR at 49026 through 49034). The
similarity between the IPPS and the IRF
PPS includes the adoption in the initial
implementation of the IRF PPS of the
same labor market area definitions
under the IRF PPS that existed under
the IPPS at that time, as well as the use
of acute care hospitals’ wage data in
calculating the IRF PPS wage index. In
addition, the OMB’s CBSA-based
designations reflect the most recent
available geographic classifications and
more accurately reflects current labor
markets. Therefore, we believe that
proposing to revise the IRF PPS labor
market area definitions based on OMB’s
CBSA-based designations are consistent
with our historical practice of modeling
IRF PPS policy after IPPS policy.
Below, we discuss the composition of
the proposed IRF PPS labor market areas
based on the OMB’s new CBSA
designations.
i. New England MSAs
As stated above, in the August 7, 2001
final rule, we currently use NECMAs to
define labor market areas in New
England, because these are county-based
designations rather than the 1990 MSA
definitions for New England, which
used minor civil divisions such as cities
and towns. Under the current MSA
definitions, NECMAs provided more
consistency in labor market definitions
for New England compared with the rest
of the country, where MSAs are countybased. Under the new CBSAs, OMB has
now defined the MSAs and
Micropolitan Areas in New England on
the basis of counties. The OMB also
established New England City and
Town Areas, which are similar to the
previous New England MSAs.
In order to create consistency among
all labor market areas and to maintain
these areas on the basis of counties, we
are proposing to use the county-based
areas for all MSAs in the nation,
including those in New England. Census
has now defined the New England area
based on counties, creating a city- and
town-based system as an alternative. We
believe that adopting county-based labor
market areas for the entire country
except those in New England would
lead to inconsistencies in our
designations. Adopting county-based
labor market areas for the entire country
provides consistency and stability in
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Medicare program payment because all
of the labor market areas throughout the
country, including New England, would
be defined using the same system (that
is, counties) rather than different
systems in different areas of the country,
and minimizes programmatic
complexity.
In addition, we have consistently
employed a county-based system for
New England for precisely that reason:
to maintain consistency with the labor
market area definitions used throughout
the country. Because we have never
used cities and towns for defining IRF
labor market areas, employing a countybased system in New England maintains
that consistent practice. We note that
this is consistent with the
implementation of the CBSA-based
designations under the IPPS for New
England (see 69 FR at 49028).
Accordingly, in this proposed rule, we
are proposing to use the New England
MSAs as determined under the
proposed new CBSA-based labor market
area definitions in defining the
proposed revised IRF PPS labor market
areas.
ii. Metropolitan Divisions
Under OMB’s new CBSA
designations, a Metropolitan Division is
a county or group of counties within a
CBSA that contains a core population of
at least 2.5 million, representing an
employment center, plus adjacent
counties associated with the main
county or counties through commuting
ties. A county qualifies as a main county
if 65 percent or more of its employed
residents work within the county and
the ratio of the number of jobs located
in the county to the number of
employed residents is at least 0.75. A
county qualifies as a secondary county
if 50 percent or more, but less than 65
percent, of its employed residents work
within the county and the ratio of the
number of jobs located in the county to
the number of employed residents is at
least 0.75. After all the main and
secondary counties are identified and
grouped, each additional county that
already has qualified for inclusion in
the MSA falls within the Metropolitan
Division associated with the main/
secondary county or counties with
which the county at issue has the
highest employment interchange
measure. Counties in a Metropolitan
Division must be contiguous (65 FR at
82236).
The construct of relatively large MSAs
being comprised of Metropolitan
Divisions is similar to the current
construct of the CMSAs comprised of
PMSAs. As noted above, in the past,
OMB designated CMSAs as
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Metropolitan Areas with a population of
1 million or more and comprised of two
or more PMSAs. Under the IRF PPS, we
currently use the PMSAs rather than
CMSAs to define labor market areas
because they comprise a smaller
geographic area with potentially varying
labor costs due to different local
economies. We believe that CMSAs may
be too large of an area with a relatively
large number of hospitals, to accurately
reflect the local labor costs of all the
individual hospitals included in that
relatively ‘‘large’’ area. A large market
area designation increased the
likelihood of including many hospitals
located in areas with very different labor
market conditions within the same
market area designation. This variation
could increase the difficulty in
calculating a single wage index that
would be relevant for all hospitals
within the market area designation.
Similarly, we believe that MSAs with a
population of 2.5 million or greater may
be too large of an area to accurately
reflect the local labor costs of all the
individual hospitals included in that
relatively ‘‘large’’ area. Furthermore, as
indicated above, Metropolitan Divisions
represent the closest approximation to
PMSAs, the building block of the
current IRF PPS labor market area
definitions, and therefore, would most
accurately maintain our current
structuring of the IRF PPS labor market
areas. Therefore, as implemented under
the IPPS (69 FR at 49029), we are
proposing to use the Metropolitan
Divisions where applicable (as describe
below) under the proposed new CBSAbased labor market area definitions.
In addition to being comparable to the
organization of the labor market areas
under the current MSA designations
(that is, the use of PMSAs rather than
CMSAs), we believe that proposing to
use Metropolitan Divisions where
applicable (as described below) under
the IRF PPS would result in a more
accurate adjustment for the variation in
local labor market areas for IRFs.
Specifically, if we would recognize the
relatively ‘‘larger’’ CBSA that comprises
two or more Metropolitan Divisions as
an independent labor market area for
purposes of the wage index, it would be
too large and would include the data
from too many hospitals to compute a
wage index that would accurately reflect
the various local labor costs of all the
individual hospitals included in that
relatively ‘‘large’’ CBSA. As mentioned
earlier, a large market area designation
increases the likelihood of including
many hospitals located in areas with
very different labor market conditions
within the same market area
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designation. This variation could
increase the difficulty in calculating a
single wage index that would be
relevant for all hospitals within the
market area designation. Rather, by
proposing to recognize Metropolitan
Divisions where applicable (as
described below) under the proposed
new CBSA-based labor market area
definitions under the IRF PPS, we
believe that in addition to more
accurately maintaining the current
structuring of the IRF PPS labor market
areas, the local labor costs would be
more accurately reflected, thereby
resulting in a wage index adjustment
that better reflects the variation in the
local labor costs of the local economies
of the IRFs located in these relatively
‘‘smaller’’ areas.
Below we describe where
Metropolitan Divisions would be
applicable under the proposed new
CBSA-based labor market area
definitions under the IRF PPS.
Under the OMB’s CBSA-based
designations, there are 11 MSAs
containing Metropolitan Divisions:
Boston; Chicago; Dallas; Detroit; Los
Angeles; Miami; New York;
Philadelphia; San Francisco; Seattle;
and Washington, DC. Although these
MSAs were also CMSAs under the prior
definitions, in some cases their areas
have been altered. Under the current
IRF PPS MSA designations, Boston is a
single NECMA. Under the proposed
CBSA-based labor market area
designations, it would be comprised of
four Metropolitan Divisions. Los
Angeles would go from four PMSAs
under the current IRF PPS MSA
designations to two Metropolitan
Divisions under the proposed CBSAbased labor market area designations.
The New York CMSA would go from 15
PMSAs under the current IRF PPS MSA
designations to only four Metropolitan
Divisions under the proposed CBSAbased labor market area designations.
The five PMSAs in Connecticut under
the current IRF PPS MSA designations
would become separate MSAs under the
proposed CBSA-based labor market area
designations because two MSAs became
separate MSAs. The number of PMSAs
in New Jersey, under the current IRF
PPS MSA designations would go from
five to two, with the consolidation of
two New Jersey PMSAs (Bergen-Passaic
and Jersey City) into the New YorkWayne-White Plains, NY-NJ Division,
under the proposed CBSA-based labor
market area designations. In San
Francisco, under the proposed CBSAbased labor market area designations
there are only two Metropolitan
Divisions. Currently, there are six
PMSAs, some of which are now separate
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MSAs under the current IRF PPS labor
market area designations.
Under the current IRF PPS labor
market area designations, Cincinnati,
Cleveland, Denver, Houston,
Milwaukee, Portland, Sacramento, and
San Juan are all designated as CMSAs,
but would no longer be designated as
CMSAs under the proposed CBSA-based
labor market area designations. As noted
previously, the population threshold to
be designated a CMSA under the current
IRF PPS labor market area designations
is 1 million. In most of these cases,
counties currently in a PMSA would
become separate, independent MSAs
under the proposed CBSA-based labor
market area designations, leaving only
the MSA for the core area under the
proposed CBSA-based labor market area
designations.
iii. Micropolitan Areas
Under the new OMB’s CBSA-based
designations, Micropolitan Areas are
essentially a third area definition
consisting primarily of areas that are
currently rural, but also include some or
all of areas that are currently designated
as urban MSA. As discussed in greater
detail in the IPPS final rule (69 FR at
49029 through 49032), how these areas
are treated would have significant
impacts on the calculation and
application of the wage index.
Specifically, whether or not
Micropolitan Areas are included as part
of the respective statewide rural wage
indices would impact the value of the
statewide rural wage index of any State
that contains a Micropolitan Area
because a hospital’s classification as
urban or rural affects which hospitals’
wage data are included in the statewide
rural wage index. As discussed above in
section III.B.2.b of this proposed rule,
we combine all of the counties in a State
outside a designated urban area to
calculate the statewide rural wage index
for each State.
Including Micropolitan Areas as part
of the statewide rural labor market area
would result in an increase to the
statewide rural wage index because
hospitals located in those Micropolitan
Areas typically have higher labor costs
than other rural hospitals in the State.
Alternatively, if Micropolitan Areas
were to be recognized as independent
labor market areas, because there would
be so few hospitals in those areas to
complete a wage index, the wage
indices for IRFs in those areas could
become relatively unstable as they
might change considerably from year to
year.
We currently use MSAs to define
urban labor market areas and group all
the hospitals in counties within each
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State that are not assigned to an MSA
into a statewide rural labor market area.
Therefore, we used the terms ‘‘urban’’
and ‘‘rural’’ wage indices in the past for
ease of reference. However, the
introduction of Micropolitan Areas by
the OMB potentially complicates this
terminology because these areas include
many hospitals that are currently
included in the statewide rural labor
market areas.
We are proposing to treat
Micropolitan Areas as rural labor market
areas under the IRF PPS for the reasons
outlined below. That is, counties that
are assigned to a Micropolitan Area
under the CBSA-based designations
would be treated the same as other
‘‘rural’’ counties that are not assigned to
either an MSA or a Micropolitan Area.
Therefore, in determining an IRF’s
applicable wage index (based on IPPS
hospital wage index data) we are
proposing that an IRF in a Micropolitan
Area under OMB’s CBSA designations
would be classified as ‘‘rural’’ and
would be assigned the statewide rural
wage index for the State in which it
resides.
In the IPPS final rule (69 FR at 49029
through 49032), we discuss our
evaluation of the impact of treating
Micropolitan areas as part of the
statewide rural labor market area
instead of treating Micropolitan Areas as
independent labor market areas for
hospitals paid under the IPPS. As an
alternative to treating Micropolitan
Areas as part of the statewide rural labor
market area for purposes of the IRF PPS,
we examined treating Micropolitan
Areas as separate (urban) labor market
areas, just as we did when
implementing the revised labor market
areas under the IPPS. As discussed in
greater detail in that same final rule, the
designation of Micropolitan Areas as
separate urban areas for wage index
purposes would have a dramatic impact
on the calculation of the wage index.
This is because Micropolitan areas
encompass smaller populations than
MSAs, and tend to include fewer
hospitals per Micropolitan area.
Currently, there are only 25 MSAs with
one hospital in the MSA. However,
under the new proposed CBSA-based
definitions, there are 373 Micropolitan
Areas with one hospital, and 49 MSAs
with only one hospital.
Since Micropolitan Areas encompass
smaller populations than MSAs, they
tend to include fewer hospitals per
Micropolitan Area, recognizing
Micropolitan Areas as independent
labor market areas would generally
increase the potential for dramatic shifts
in those areas’ wage indices from one
year to the next because a single
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hospital (or group of hospitals) could
have a disproportionate effect on the
wage index of the area. The large
number of labor market areas with only
one hospital and the increased potential
for dramatic shifts in the wage indexes
from one year to the next is a problem
for several reasons. First, it creates
instability in the wage index from year
to year for a large number of hospitals.
Second, it reduces the averaging effect
(this averaging effect allows for more
data points to be used to calculate the
representative standard of measured
labor costs within a market area)
lessening some of the incentive for
hospitals to operate efficiently. This
incentive is inherent in a system based
on the average hourly wages for a large
number of hospitals, as hospitals could
profit more by operating below that
average. In labor market areas with a
single hospital, high wage costs are
passed directly into the wage index with
no counterbalancing averaging with
lower wages paid at nearby competing
hospitals. Third, it creates an arguably
inequitable system when so many
hospitals have wage indexes based
solely on their own wages, while other
hospitals’ wage indexes are based on an
average hourly wage across many
hospitals. Therefore, in order to
minimize the potential instability in
payment levels from year to year, we
believe it would be appropriate to treat
Micropolitan Areas as part of the
statewide rural labor market area under
the IRF PPS.
For the reasons noted above, and
consistent with the treatment of these
areas under the IPPS, we are proposing
not to adopt Micropolitan Areas as
independent labor market areas under
the IRF PPS. Under the proposed new
CBSA-based labor market area
definitions, we are proposing that
Micropolitan Areas be considered a part
of the statewide rural labor market area.
Accordingly, we are proposing that the
IRF PPS statewide rural wage index be
determined using the acute-care IPPS
hospital wage data (the rational for
using IPPS hospital wage data is
discussed in section III.B.2.f of this
proposed rule) from hospitals located in
non-MSA areas and that the statewide
rural wage index be assigned to IRFs
located in those areas.
e. Implementation of the Proposed
Changes To Revise the Labor Market
Areas
Under section 1886(j) of the Act, as
added by section 4421 of the Balanced
Budget Act of 1997 (BBA) (Pub. L. 105–
33) and as amended by section 125 of
the Medicare, Medicaid, and State
Children’s Health Insurance Program
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(SCHIP) Balanced Budget Refinement
Act of 1999 (BBRA) (Pub. L. 106–113)
and section 305 of the Medicare,
Medicaid, and SCHIP Benefits
Improvement and Protection Act of
2000 (BIPA) (Pub. L. 106–554), which
requires the implementation of such
prospective payment system, the
Secretary generally has broad authority
in developing the IRF PPS, including
whether and how to make adjustments
to the IRF PPS.
To facilitate an understanding of the
proposed policies related to the
proposed change to the IRF PPS labor
market areas discussed above, in Table
3 of the Addendum of this proposed
rule, we are providing a listing of each
IRF’s state and county location; existing
MSA labor market area designation; and
its proposed new CBSA designation
based on county information from our
online survey, certification, and
reporting (OSCAR) database, and an
Iowa Foundation for Medical Care
(IFMC) report listing providers and their
state and county location that submitted
IRF–PAIs during the past 18 months
(report request made in February 2005).
We encourage IRFs to review the county
location and both the current and
proposed labor market area assignments
for accuracy. Any questions or
corrections (including additions or
deletions) to the information provided
in Table 3 of the Addendum should be
emailed to the following CMS Web
address: IRFPPSInfo@cms.hhs.gov. A
link to this address can be found on the
following CMS Web page https://
www.cms.hhs.gov/providers/irfpps/.
When the revised labor market areas
based on OMB’s new CBSA-based
designations were adopted under the
IPPS beginning on October 1, 2004, a
transition to the new designations was
established due to the scope and
substantial implications of these new
boundaries and to buffer the subsequent
substantial impacts on numerous
hospitals. As discussed in the IPPS final
rule (69 FR at 49032), during FY 2005,
a blend of wage indices is calculated for
those acute care IPPS hospitals
experiencing a drop in their wage
indices because of the adoption of the
new labor market areas. The most
substantial decrease in wage index
impacts urban acute-care hospitals that
were designated as rural under the
CBSA-based designations.
While we recognize that, just like
IPPS hospitals, IRFs may experience
decreases in their wage index as a result
of the proposed labor market area
changes, our data analysis showed that
a majority of IRFs either expect no
change in wage index or an increase in
wage index based on CBSA definitions.
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In addition, a very small number of IRFs
(3 percent) would experience a decline
of 5 percent or more in the wage index
based on CBSA designations. A 5
percent decrease in the wage index for
an IRF may result in a noticeable
decrease in their wage index compared
to what their wage index would have
been for FY 2006 under the MSA-based
designations. We also found that a very
small number of IRFs (4 percent) would
experience a change in either rural or
urban designation under the CBSAbased definitions. Since a majority of
IRFs would not be significantly
impacted by the proposed labor market
areas, we believe it is not necessary to
propose a transition to the proposed
new CBSA-based labor market area for
the purposes of the IRF PPS wage index.
The main purpose of a transition is to
buffer hospitals that would be
significantly impacted by a proposed
policy. Since the impact of the proposed
labor market areas upon IRFs would be
minimal, the need to transition is
absent. We recognize that there would
be many alternatives to efficiently
implement the proposed CBSA-based
geographic designations. The statute
confers broad authority to the Secretary
under 1886(j)(6) of the Act to establish
factor for area wage differences by a
factor such that budget neutral wage
index options may be considered. Thus,
we considered three budget neutral
alternatives that could implement the
adoption of the proposed CBSA-based
designations as discussed below. Even
though a majority of IRFs would not be
significantly impacted by the proposed
labor market areas, we wanted to be
diligent and at least examine transition
policies and the affect on the system.
We needed to conduct the analysis to
determine how IRFs fare under such a
proposed policy.
One alternative we considered
institutes a one-year transition with a
blended wage index, equal to 50 percent
of the FY 2006 MSA-based wage index
and 50 percent of the FY 2006 CBSAbased wage index (both based on the FY
2001 hospital wage data), for all
providers. In this scenario, a blended
wage index of 50 percent of the FY 2006
MSA-based wage index and 50 percent
of the FY 2006 CBSA-based wage index
was used because in the IPPS final rule
(69 FR at 49033) a blended wage index
employed 50 percent of the FY 2001
hospital wage index data and the old
labor market definitions, and 50 percent
of the wage index employing FY 2001
wage index data and the new labor
market definitions. However, we found
that while this would help some IRFs
that are adversely affected by the
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changes to the MSAs, it would also
reduce the wage index values
(compared to fully adopting the CBSA
wage index value) for IRFs that would
be positively affected by the changes.
Thus, the unadjusted payment rate for
all providers would be slightly reduced.
Therefore, a majority of the IRFs would
not benefit if all providers are given a
blended wage index in a budget neutral
manner (such that estimated aggregate,
overall payments to IRFs would not
change under the proposed labor market
area definitions).
A second alternative we considered
consists of a one-year transition with a
blended wage index, equal to 50 percent
of the FY 2006 MSA wage index and 50
percent of the FY 2006 CBSA-based
wage index (both based on the FY 2001
hospital wage data), only for providers
that would experience a decrease due
solely to the changes in the labor market
definitions. In this second alternative, a
blended wage index of 50 percent of the
FY 2006 MSA wage index and 50
percent of the FY 2006 CBSA-based
wage index was determined because in
the IPPS final rule (69 FR at 49033) a
blended wage index employed 50
percent of the FY 2001 hospital wage
index data and the old labor market
definitions, and 50 percent of the wage
index employing FY 2001 wage index
data and the new labor market
definitions. Therefore, providers that
would experience a decrease in their FY
2006 wage index under the CBSA-based
definitions compared to the wage index
they would have received under the
MSA-based definitions (in both cases
using FY 2001 hospital wage data)
would receive a blended wage index as
described above.
When we performed our analysis, we
found that the unadjusted payment
amounts decreased substantially more
under this option than they did either
by using the first option discussed
above or by fully adopting the CBSAbased designations. As with the first
alternative, the positive impact of
blending in order decrease the impacts
for a relatively small number of IRFs
would require reduced payment rates
for all providers, including the IRFs
receiving a blended wage index.
As discussed in the August 11, 2004
IPPS final rule (69 FR at 49032), during
FY 2005, a hold harmless policy was
implemented to minimize the overall
impact of hospitals that were in FY 2004
designated as urban under the MSA
designations, but would become rural
under the CBSA designations. In the
same final rule, hospitals were afforded
a three-year hold harmless policy
because the IPPS determined that acutecare hospitals that changed designations
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from urban to rural would be
substantially impacted by the significant
change in wage index. Although we
considered a hold harmless policy for
IRFs that would be substantially
impacted from the change in wage index
due to the CBSA-based designation, we
found that an extremely small number
of IRFs (4.4 percent) would change
designations. In addition, currently
urban facilities that become rural under
the CBSA-based definitions would
receive the rural facility adjustment,
which we are proposing to increase
from 19.14 percent to 24.1 percent
(discussed in further detail in section
III.B.4 of this proposed rule). Thus, the
impact on urban facilities that become
rural would be mitigated by the rural
adjustment.
We also found that 91 percent of rural
facilities that would be designated as
urban under the CBSA-based definitions
would experience an increase in the
wage index. Furthermore, a majority (74
percent) of rural facilities that become
urban would experience at least a 5
percent to 10 percent or more increase
in wage index. Thus, we do not believe
it is appropriate or necessary to adopt a
hold harmless policy for facilities that
would experience a change in
designation under the CBSA-based
definitions.
Finally, we note that section 505 of
the MMA established new section
1886(d)(13) of the Act. The new section
1886(d)(13) requires that the Secretary
establish a process to make adjustments
to the hospital wage index based on
commuting patterns of hospital
employees. We believe that this
requirement for an ‘‘out-commuting’’ or
‘‘out-migration’’ adjustment applies
specifically to the IPPS. Therefore, we
will not be proposing such an
adjustment for the IRF PPS.
We are not proposing a transition, a
hold harmless policy, nor an ‘‘outcommuting’’ adjustment under the IRF
PPS from the current MSA-based labor
market areas designations to the new
CBSA-based labor market area
designations as discussed below. We are
proposing to adopt the new CBSA-based
labor market area definitions beginning
with the 2006 IRF PPS fiscal year
without a transition period, without a
hold harmless policy, and without an
‘‘out-commuting’’ adjustment. We
believe that this proposed policy is
appropriate because despite significant
similarities between the IRF PPS and
the IPPS, there are clear distinctions
between the payment systems,
particularly regarding wage index
issues.
The most significant distinction upon
which we have based this proposed
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policy determination is that where acute
care hospitals have been paid using full
wage index adjusted payments since
1983 and have used the previous IPPS
MSA-based labor market area
designations for over 10 years, under the
IRF PPS we have been using the
excluded pre-reclassification and prefloor MSA-based wage index for cost
reporting periods beginning on or after
January 1, 2002. Since the
implementation of the IRF PPS has only
used the MSA-based labor market area
designations since 2002 of which the
first year was a transition year, many
IRFs received a blended payment that
consisted of a percentage of TEFRA and
a percentage of the IRF PPS rate (as
described below). Since many IRFs were
initially under the transition period
whereby many IRFs received a blend of
TEFRA payments and the adjusted
Federal prospective payment rates in
accordance with section 1886(j)(1) of the
Act and as specified in § 412.626, IRFs
may still be adjusting to the changes in
wage index and thus has not established
a long history of an expected wage
index from year to year. We may
reasonably expect that IRFs would not
experience a substantial impact on their
respective wage indices because under a
relatively new IRF PPS, IRFs are
adjusting to the change of being paid a
Federal prospective payment rate. Our
data analysis also shows that a minimal
number of IRFs would experience a
decrease of more than 5 percent in the
wage index. A 5 percent decrease in the
wage index for an IRF would possibly
result in a noticeable decrease in their
wage index compared to what their
wage index would have been for FY
2006 under the MSA-based
designations. In addition, under the
CBSA designation, a small number of
IRFs would experience a change from
their current urban or rural designation.
Therefore, the overall impact of IRFs
under the MSA-based designations
versus the CBSA-based designations did
not result in a dramatic change overall.
Although the wage index has been a
stable feature of the acute care hospital
IPPS since its 1983 implementation and
has utilized the prior MSA-based labor
market area designation for over 10
years, this is not the case for the IRF PPS
which has only been implemented for
cost reporting periods beginning on or
after January 1, 2002. Therefore, if the
proposed CBSA-based labor market area
designations were adopted they would
have a negligible impact on IRFs
because the adoption of the CBSA-based
designations are proposed in a budget
neutral manner (as discussed in detail
in section IV of this proposed rule).
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The impact of adopting the proposed
CBSA-based wage index has shown in
our impact analysis to have very little
impact on the overall payment rates to
the extent the proposed refinements to
the overall system are also implemented
(as discussed below). In addition, unlike
other post-acute care payment systems,
the IRF PPS payments apply a rural
facility adjustment to account for higher
costs in rural facilities (as discussed in
66 FR at 41359). We are proposing to
increase the current rural adjustment
from 19.14 percent to 24.1 percent (as
discussed in section III.4 of this
proposed rule). Therefore, IRFs that are
designated as urban under the MSAbased definitions, but that would be
classified as rural under the proposed
CBSA-based definitions, will receive a
facility add-on of 24.1 percent.
In sum, the IRF PPS has only been
implemented for hospital cost reporting
periods beginning on or after January 1,
2002 (which means that payment to
IRFs have only been governed by the
IRF PPS for slightly more than 3 years).
In addition, a small number of IRFs
would experience a change in rural or
urban designations under the CBSAbased designations. To the extent the
proposed changes in this rule are
adopted, the change in labor market area
for an urban facility to a rural facility is
expected to be offset by the rural
adjustment we are proposing to increase
from 19.14 to 24.1 percent as discussed
below. We also found that a majority of
IRFs would experience no change in
wage index or an increase. Thus, we are
proposing to fully adopt the CBSAbased designations without a hold
harmless policy. We believe that it is
not appropriate or necessary to propose
a transition to the proposed new CBSAbased labor market area for the purpose
of the IRF PPS wage index adjustment
as specified under § 412.624 as
explained previously in this section. In
addition, as explained above, we believe
there are not sufficient data to support
a transition from MSA-based
designations to the proposed CBSAbased designations.
f. Wage Index Data
In the August 7, 2001 final rule, we
established an IRF wage index based on
FY 1997 acute care hospital wage data
to adjust the FY 2002 IRF payment rates.
For the FY 2003 IRF PPS payment rates,
we applied the same wage adjustment as
used for FY 2002 IRF PPS rates because
we determined that the application of
the wage index and labor-related share
used in FY 2002 provided an
appropriate adjustment to account for
geographic variation in wage levels that
was consistent with the statute. For the
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FY 2004 IRF PPS payment rates, we
used the hospital wage index based on
FY 1999 acute care hospital wage data.
For the FY 2005 IRF PPS payment rates,
we used the hospital wage index based
on FY 2000 acute care hospital wage
data. We are proposing to use FY 2001
acute care hospital wage data for FY
2006 IRF PPS payment rates because it
is the most recent final data available.
We believe that a wage index based on
acute care hospital wage data is the best
proxy and most appropriate wage index
to use in adjusting payments to IRFs,
since both acute care hospitals and IRFs
compete in the same labor markets.
Since acute care hospitals compete in
the same labor market areas as IRFs, the
wage data of acute care hospitals should
accurately capture the relationship of
wages and wage-related costs of IRF in
an area as comparable to the national
average. In the August 1, 2001 final rule
(66 FR at 41358) we established FY 2002
IRF PPS wage index values for the 2002
IRF PPS fiscal year calculated from the
same data used to compute the FY 2001
acute care hospital inpatient wage index
data without taking into account
geographic reclassification under
sections 1886(d)(8) and (d)(10) of the
Act and without applying the ‘‘rural
floor’’ under section 4410 of Pub. L.
105–33 (BBA) (as discussed in section
III.B.2.a of this proposed rule). Acute
care hospital inpatient wage index data
is also used to establish the wage index
adjustment used in other PPSs (for
example, LTCH, IPF, HHA, and SNF).
As we discussed in the August 7, 2001
final rule (66 FR at 41316, 41358), since
hospitals that are excluded from the
IPPS are not required to provide wagerelated information on the Medicare
cost report and because we would need
to establish instructions for the
collection of this IRF data it is not
appropriate at this time to propose a
wage index specific to IRF facilities.
Because we do not have an IRF specific
wage index that we can compare to the
hospital wage index, we are unable to
determine at this time the degree to
which the acute care hospital data fully
represent IRF wages or if a geographic
reclassification adjustment under the
IRF PPS is appropriate. However, we
believe that a wage index based on acute
care hospital data is the best and most
appropriate wage index to use in
adjusting payments to IRFs, since both
acute care hospitals and IRFs compete
in the same labor markets. Also, we
propose to continue to use the same
method for calculating wage indices as
was indicated in the August 7, 2001
final rule (69 FR at 41357 through
41358). In addition, 1886(d)(8) and
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1886(d)(10) of the Act which permits
reclassification is applicable only to
inpatient acute care hospitals at this
time. The wage adjustment established
under the IRF PPS is based on an IRF’s
actual location without regard to the
urban or rural designation of any related
or affiliated provider.
In proposing to adopt the CBSA-based
designations, we recognize that there
may be geographic areas where there are
no hospitals, and thus no hospital wage
data on which to base the calculation of
the IRF PPS wage index. We found that
this occurred in two States—
Massachusetts and Puerto Rico—where,
using the CBSA-based designations,
there were no hospitals located in rural
areas. At present, no IRFs are affected by
this lack of data, because currently there
are no rural IRFs in these two States. If,
rural IRFs open in these two States, we
propose, for FY 2006, to use the rural
FY 2001 MSA-based hospital wage data
for that State to determine the wage
index of such IRFs. In other words, we
would use the same wage data (the FY
2001 hospital wage data) used to
calculate the FY 2006 IRF wage index.
However, rather than using CBSA-based
designations, we would use MSA-based
designations to determine the rural
wage index of the State. Using such
MSA-based designations there would be
rural wage indices for both
Massachusetts and Puerto Rico. We
believe this is the most reasonable
approach, as we would be using the
same hospital wage data used to
calculate the CBSA-based wage indices.
In the event this occurs in urban areas
where IRFs are located, we are
proposing to use the average of the
urban hospital wage data throughout the
State as a reasonable proxy for the urban
areas without hospital wage data.
Therefore, urban IRFs located in
geographic areas without any hospital
wage data would receive a wage index
based on the average wage index for all
urban areas within the State. This does
not presently affect any urban IRFs for
FY 2006 because there are no IRFs
located in urban areas without hospital
wage data. However, the policy would
apply to future years when there may be
urban IRFs located in geographic areas
with no corresponding hospital wage
data.
We believe this policy is reasonable
because it maintains a CBSA-based
wage index system, while creating an
urban proxy for IRFs located in urban
areas without corresponding hospital
wage data. We note that we could not
apply a similar averaging in rural areas,
because in the rural areas there is no
State rural hospital wage data available
for averaging on a State-wide basis. For
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example, in Massachusetts and Puerto
Rico, using a CBSA-based designation
system, there are simply no rural
hospitals in the State upon which we
could base an average.
In addition, we note that the Secretary
has broad authority under 1886(j)(6) to
update the wage index 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.
Therefore, for FY 2006 we propose to
use FY 2001 MSA-based hospital wage
data for rural Massachusetts and rural
Puerto Rico in the event there are rural
IRFs in such States. In addition, for FY
2006 and thereafter, we propose to
calculate a statewide urban average in
the event that there exist urban IRFs in
geographic areas with no corresponding
hospital wage data. We solicit
comments on these approaches to
calculate the wage index values for
areas without hospital wage data for this
and subsequent fiscal years. We note
that for fiscal years 2007 and thereafter,
we likely will not calculate the MSAbased rural area indices, as the acute
care hospital IPPS will no longer
publish MSA-based wage tables. Thus,
we specifically request comments on the
approach to be used for IRFs in rural
areas without corresponding hospital
wage data for fiscal years 2007 and
thereafter.
For the reasons discussed above, we
are proposing to continue the use of the
acute care hospital inpatient wage index
data generated from cost reporting
periods beginning during FY 2001
without taking into account geographic
reclassification as specified under
sections 1886(d)(8) and (d)(10) of the
Act and without applying the ‘‘rural
floor’’ under section 4410 of Pub. L.
105–33 (BBA) (as discussed in section
III.B.2.a of this proposed rule). We
believe that cost reporting period FY
2001 would be used to determine the
applicable wage index values under the
IRF PPS because these are the best
available data. These data are the same
FY 2001 acute care hospital inpatient
wage data that were used to compute
the FY 2005 wage indices. The proposed
full wage index values that would be
applicable for IRF PPS discharges
occurring on or after October 1, 2005 are
shown in Addendum 1, Tables 2a (for
urban areas) and 2b (for rural areas) in
the Addendum of this proposed rule.
In addition, any proposed adjustment
or update to the IRF wage index made
as specified under section 1886(j)(6) of
the Act would be made in a budget
neutral manner that assures that the
estimated aggregated payments under
this subsection in the FY year are not
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30241
greater or less than those that would
have been made in the year without
such adjustment. Therefore, we are
proposing to calculate a budget-neutral
wage adjustment factor as established in
the July 30, 2004 notice and as specified
in § 412.624(e)(1). We will continue to
use the following steps to ensure that
the proposed FY 2006 IRF standard
payment conversion factor reflects the
update to the proposed CBSA wage
indices and to the proposed laborrelated share in a budget neutral
manner:
Step 1: Determine the total amount of
the estimated FY 2005 IRF PPS rates
using the FY 2005 standard payment
conversion factor and the labor-related
share and the wage indices from FY
2005 (as published in the July 30, 2004
final notice).
Step 2: Calculate the total amount of
estimated IRF PPS payments using the
FY 2005 standard payment conversion
factor and the proposed updated CBSAbased FY 2006 labor-related share and
wage indices described above.
Step 3: Divide the amount calculated
in step 1 by the amount calculated in
step 2, which equals the proposed FY
2006 budget-neutral wage adjustment
factor of 0.9996.
Step 4: Apply the proposed FY 2006
budget-neutral wage adjustment factor
from step 3 to the FY 2005 IRF PPS
standard payment conversion factor
after the application of the market
basket update, described above, to
determine the proposed FY 2006
standard payment conversion factor.
3. Proposed Teaching Status Adjustment
Section 1886(j)(3)(A)(v) of the Act
requires the Secretary to adjust the
prospective payment rates for the IRF
PPS by such factors as the Secretary
determines are necessary to properly
reflect variations in necessary costs of
treatment among rehabilitation
facilities. Under this authority, in the
August 7, 2001 final rule (66 FR 41316,
41359), we considered implementing an
adjustment for IRFs that are, or are part
of, teaching institutions. However,
because the results of our regression
analysis, using FY 1999 data, showed
that the indirect teaching cost variable
was not significant, we did not
implement a payment adjustment for
indirect teaching costs in that final rule.
The regression analysis conducted by
RAND for this proposed rule, using FY
2003 data, shows that the indirect
teaching cost variable is significant in
explaining the higher costs of IRFs that
have teaching programs. Therefore, we
are proposing to establish a facility level
adjustment to the Federal per discharge
base rate for IRFs that are, or are part of,
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teaching institutions for the reasons
discussed below (the ‘‘teaching status
adjustment’’). However, as discussed
below, we have some concerns about
proposing a teaching status adjustment.
The policy implications of
implementing a teaching status
adjustment on the basis of the results of
RAND’s recent analysis oblige us to seek
assurance that these results do not
reflect an aberration based on only a
single year’s data and that the teaching
status adjustment can be implemented
in such a way that it would be equitable
to all IRFs. Analysis of future data (FY
2004 or later) would give us such
assurance because it would allow the
effects of the other proposed changes
outlined in this proposed rule to be
realized and allow us to determine
whether the significant coefficient on
the teaching variable continues to be
present in the future data.
The purpose of the proposed teaching
status adjustment would be to account
for the higher indirect operating costs
experienced by facilities that participate
in graduate medical education
programs.
We are proposing to implement the
proposed teaching status adjustment in
a budget neutral manner (that is,
keeping aggregate payments for FY 2006
with the proposed teaching adjustment
the same as aggregate payments for FY
2006 without the proposed teaching
adjustment) for the reasons discussed
below. (As a conforming change, we are
proposing to revise § 412.624 to add a
new section (e)(4) as the teaching status
adjustment. Specifically, § 412.624(e)(4)
would be for discharges on or after
October 1, 2005. We propose to adjust
the Federal prospective payment on a
facility basis by a factor as specified by
CMS for facilities that are teaching
institutions or units of teaching
institutions. This adjustment would be
made on a claim basis as an interim
payment and the final payment in full
for the claim would be made during the
final settlement of the cost report. Thus,
we would redesignate the current (e)(4)
and (e)(5) as (e)(5) and (e)(6)).
Medicare makes direct graduate
medical education (GME) payments (for
direct costs such as resident and
teaching physician salaries, and other
direct teaching costs) to all teaching
hospitals including those paid under the
IPPS, and those that were once paid
under the TEFRA rate of increase limits
but are now paid under other PPSs.
These direct GME payments are made
separately from payments for hospital
operating costs and are not part of the
PPSs. However, the direct GME
payments may not address the higher
indirect operating costs which may
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often be experienced by teaching
hospitals. For teaching hospitals paid
under the TEFRA rate-of-increase limits,
Medicare did not make separate medical
education payments because payments
to these hospitals were based on the
hospitals’ reasonable costs. Because
payments under TEFRA were based on
hospitals’ reasonable costs, the higher
indirect costs that might be associated
with teaching programs would
automatically have been factored into
the TEFRA payments.
When the IRF PPS was implemented,
we did not adjust payments to IRFs for
indirect medical education costs
because we did not find that
adjustments for such costs were
supported by the regression analyses or
by the impact analyses. As discussed in
the August 7, 2001 final rule (69 FR
41316, 41359), the indirect teaching
variable was not significant for either
the fully specified regression or the
payment regression in RAND’s analysis.
Furthermore, the impacts among the
various classes of facilities reflecting the
fully phased-in IRF PPS illustrated that
IRFs with the highest measure of
indirect teaching would lose
approximately 2 percent of estimated
payments under the IRF PPS when
compared with payments under TEFRA
rate-of-increase limits. These impacts
did not account for changes in behavior
that facilities were likely to adopt in
response to the inherent incentives of
the IRF PPS, and we believed that IRFs
could change their behavior to mitigate
any potential reduction in payments.
The earlier research conducted by
RAND was based on 1999 data and on
a sample of IRFs. RAND recently
conducted research to support us in
developing potential refinements to the
IRF classification system and the PPS.
The regression analysis conducted by
RAND for this proposed rule, using FY
2003 data, showed that the indirect
teaching cost variable is significant in
explaining the higher costs of IRFs that
have teaching programs.
In conducting the analysis on the FY
2003 data, RAND used the resident
counts that were reported on the
hospital cost reports (worksheet S–3,
line 25, column 9 for freestanding IRF
hospitals and worksheet S–3, Part 1,
line 14 (or line 14.01 for subprovider 2),
column 9 for rehabilitation units of
acute care hospitals). That is, for the
freestanding rehabilitation hospitals,
RAND used the number of residents and
interns reported for the entire hospital.
For the rehabilitation units of acute care
hospitals, RAND used the number of
residents and interns reported for the
rehabilitation unit (reported separately
on the cost report from the number
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reported for the rest of the hospital).
RAND did not distinguish between
different types of resident specialties,
nor did they distinguish among the
different types of services residents
provide, because this information is not
reported on the cost reports.
RAND used regression analysis (with
the logarithm of costs as the dependent
variable) to re-examine the effect of
IRFs’ teaching status on the costs of
care. With FY 2003 data that include all
Medicare-covered IRF discharges,
RAND found a statistically significant
difference in costs between IRFs with
teaching programs and those without
teaching programs in the regression
analysis. The different results obtained
using the FY 2003 data (compared with
the 1999 data) may be due to
improvements in IRF coding after
implementation of the IRF PPS. More
accurately coded data may have allowed
RAND to determine better the
differences in case mix among hospitals
with and without teaching programs,
which would then have allowed the
effect of whether or not an IRF has a
teaching program to become significant
in the regression analysis. There are two
main reasons that indirect operating
costs may be higher in teaching
hospitals: (1) Because the teaching
activities themselves result in
inefficiencies that increase costs, and (2)
because patients needing more costly
services tend to be treated more often in
teaching hospitals than in non-teaching
hospitals, that is, the case mix that is
drawn to teaching hospitals.
Quantifying more precisely the amount
of cost increase that is due to teaching
hospitals’ case mix allows RAND to
more precisely quantify the amount of
increase due to the inefficiencies
associated with a teaching program.
We would propose to treat the
teaching status adjustment as an
additional payment to the Federal
prospective payment rate, similar to the
IME payments made under the IPPS (see
§ 412.105). Any such teaching status
adjustments for the IRF PPS facilities
would be made on a claim basis as
interim payments, but the final payment
in full for the cost reporting period
would be made through the cost report.
The difference between those interim
payments and the actual teaching status
adjustment amount computed in the
cost report would be adjusted through
lump sum payments/recoupments when
the cost report is filed and later settled.
As in the IPF PPS, we would propose
to calculate a teaching adjustment based
on the IRF’s ‘‘teaching variable,’’ which
would be one plus the ratio of the
number of FTE residents training in the
IRF (subject to limitations described
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further below) to the IRF’s average daily
census (ADC). In RAND’s most recent
cost regressions using data from FY
2003, the logarithm of the teaching
variable has a coefficient value of 1.083.
We would propose to convert this cost
effect to a teaching status payment
adjustment by treating the regression
coefficient as an exponent and raising
the teaching variable to a power equal
to the coefficient value—currently 1.083
(that is, the teaching status adjustment
would be calculated by raising the
teaching variable (1 + FTE residents/
ADC) to the 1.083 power). For a facility
with a teaching variable of 0.10, and
using a coefficient based upon the
coefficient value (1.083) from the FY
2003 data, this method would yield a
10.9 percent increase in the per
discharge payment; for a facility with a
teaching variable of 0.05, the payment
would increase by 5.4 percent. We note
that the coefficient value of 1.083 is
based on regression analysis holding all
other components of the payment
system constant. Because we are
proposing a number of other revisions to
the payment system in this proposed
rule, the coefficient value is subject to
change for the final rule depending on
the other revisions included in the final
rule. Moreover, we are concerned that
IRFs’ responses to other proposed
changes described in this proposed rule
will influence the effects of a teaching
variable on IRFs’ costs.
In addition, the teaching adjustment
we would propose would limit the
incentives for IRFs to add FTE residents
for the purpose of increasing their
teaching adjustment, as has been done
in the payment systems for psychiatric
facilities and acute inpatient hospitals.
Thus, we would propose to impose a
cap on the number of FTE residents that
may be counted for purposes of
calculating the teaching adjustment,
similar to that established by sections
4621 (IME FTE cap for IPPS hospitals)
and 4623 (direct GME FTE cap for all
hospitals) of the BBA. We note that the
FTE resident cap already applies to
teaching hospitals, including IRFs, for
purposes of direct GME payments as
specified in § 413.75 through § 413.83.
The proposed cap would limit the
number of residents that teaching
hospitals may count for the purposes of
calculating the IRF PPS teaching status
adjustment, not the number of residents
teaching institutions can hire or train.
The proposed FTE resident cap would
be identical in freestanding teaching
rehabilitation hospitals and in distinct
part rehabilitation units with GME
programs. Similar to the regulations for
counting FTE residents under the IPPS
as described in § 412.105(f), we are
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proposing to calculate a number of FTE
residents that trained in the IRF during
a ‘‘base year’’ and use that FTE resident
number as the cap. An IRF’s FTE
resident cap would ultimately be
determined based on the final
settlement of the IRF’s most recent cost
reporting period ending on or before
November 15, 2003. We would also
propose that, similar to new IPPS
teaching hospitals, IRFs that first begin
training residents after November 15,
2003 would initially receive an FTE cap
of ‘‘0’’. The FTE caps for new IRFs (as
well as existing IRFs) that start training
residents in a new GME program (as
defined in § 413.79(l)) may be
subsequently adjusted in accordance
with the policies that are being applied
in the IPF PPS (as described in
§ 412.424(d)(1)(iii)(B)(2)), which in turn
are made in accordance with the
policies described in 42 CFR 413.79(e)
for IPPS hospitals. However, contrary to
the policy for IME FTE resident caps
under the IPPS, we would not allow
IRFs to aggregate the FTE resident caps
used to compute the IRF PPS teaching
status adjustment through affiliation
agreements. We are proposing these
policies because we believe it is
important to limit the total pool of
resident FTE cap positions within the
IRF community and avoid incentives for
IRFs to add FTE residents in order to
increase their payments. We also want
to avoid the possibility of hospitals
transferring residents between IPPS and
IRF training settings in order to increase
Medicare payments. We recognize that
under the regulations applicable to the
IPPS IME adjustment, a new teaching
hospital that trains residents from an
existing program (not a new program as
defined in 42 CFR 413.79(l)) can receive
an adjustment to its IME FTE cap by
entering into a Medicare GME affiliation
agreement (see § 412.105(f)(1)(vi),
§ 413.75(b), and § 413.79(f)) with other
hospitals. However, this option would
not be available to new teaching IRFs
because, as noted above, we would
propose not to allow IRFs to aggregate
the FTE resident caps used to compute
the IRF PPS teaching adjustment
through affiliation agreements.
We would propose that residents with
less than full-time status and residents
rotating through the rehabilitation
hospital or unit for less than a full year
be counted in proportion to the time
they spend in their assignment with the
IRF (for example, a resident on a fulltime, 3-month rotation to the IRF would
be counted as 0.25 FTEs for purposes of
counting residents to calculate the
ratio). No FTE resident time counted for
purposes of the IPPS IME adjustment
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30243
would be allowed to be counted for
purposes of the teaching status
adjustment for the IRF PPS.
The denominator that we would
propose to use to calculate the teaching
status adjustment under the IPF PPS
would be the IRF’s average daily census
(ADC) from the current cost reporting
period because it is closely related to
the IRF’s patient load, which determines
the number of interns and residents the
IRF can train. We also believe the ADC
is a measure that can be defined
precisely and is difficult to manipulate.
Although the IPPS IME adjustment uses
the hospital’s number of beds as the
denominator, the capital PPS (as
specified at § 412.322) and the IPF PPS
(as specified at § 412.424) both use the
ADC as the denominator for the indirect
graduate medical education
adjustments.
If a rehabilitation hospital or unit has
more FTE residents in a given year than
in the base year (the base year being
used to establish the cap), we would
base payments in that year on the lower
number (the cap amount). This
approach would be consistent with the
IME adjustment under the IPPS and the
IPF PPS. The IRF would be free to add
FTE residents above the cap amount,
but it would not be allowed to count the
number of FTE residents above the cap
for purposes of calculating the teaching
adjustment. This means that the cap
would be an upper limit on the number
of FTE residents that may be counted for
purposes of calculating the teaching
status adjustment. IRFs could adjust
their number of FTE residents counted
for purposes of calculating the teaching
adjustment as long as they remained
under the cap.
On the other hand, if a rehabilitation
hospital or unit were to have fewer FTE
residents in a given year than in the
base year (that is, fewer residents than
its FTE resident cap), an adjustment in
payments in that year would be based
on the lower number (the actual number
of FTE residents the facility hires and
trains).
We would propose to implement a
teaching status adjustment in such a
way that total estimated aggregate
payments to IRFs for FY 2006 would be
the same with and without the proposed
adjustment (that is, in a budget neutral
manner). This is because we believe that
the results of RAND’s analysis of 2002
and 2003 IRF cost data suggest that
additional money does not need to be
added to the IRF PPS. RAND’s analysis
found, for example, that if all IRFs had
been paid based on 100 percent of the
IRF PPS payment rates throughout all of
2002 (some IRFs were still transitioning
to PPS payments during 2002), PPS
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payments during 2002 would have been
17 percent higher than IRFs’ costs. We
are open to examining other evidence
regarding the amount of aggregate
payments in the system.
Consideration of an adjustment to
payments based on an IRF’s teaching
status is consistent with section 1886
(j)(3)(A)(v) of the Act, which confers
broad statutory authority upon the
Secretary to adjust the per payment unit
payment rate by such factors as the
Secretary determines are necessary to
properly reflect variations in necessary
costs of treatment among rehabilitation
facilities.
As mentioned above and discussed
below, we have some concerns with
implementing a teaching status
adjustment for IRFs at this time. We are
concerned about volatility in the data
given the many changes to the IRF PPS
that have been made in recent years and
may be adopted in this rulemaking
process. Other proposed payment policy
changes have the potential to change the
magnitude or even the effect of a
teaching variable on costs once IRFs
have fully responded to the other
proposed policy changes in this
proposed rule. We also believe it is
important to ensure that the data
accurately counts residents who provide
services to IRF patients.
We note that the significant
coefficient we found in the analysis of
the FY 2003 data contrasts with the
statistically insignificant coefficient we
found in the analysis of the 1999 data
used to construct the initial IRF PPS.
Although we currently believe it may be
appropriate to propose a teaching status
adjustment for IRFs based on analysis of
the FY 2003 data, we recognize that we
may need to examine new data (that is,
FY 2004 or later) to help us to reconcile
these contradictory findings. We also
believe the analysis of this new data
could potentially lead us to conclude
that a teaching status adjustment is not
needed.
The results of RAND’s analysis using
FY 2003 data also show that certain
refinements to the IRF case mix system
(as discussed in section II of this
proposed rule) would improve the
system by more appropriately
accounting for the variation in costs
among different types of IRF patients. In
this proposed rule, we propose
numerous changes to the CMGs and
tiers, and to the threshold amount used
to determine whether cases qualify for
outlier payments, in order to better align
IRF payments with the costs of
providing care to Medicare beneficiaries
in IRFs. In addition, this proposed rule
proposes substantial changes to the
wage index (the adoption of CBSA
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market area definitions) and to the rural
and the LIP adjustments. We believe
that these proposed changes may have
an impact on cost differences between
teaching and non-teaching IRFs, and
that we will be able to assess their
impact on teaching and non-teaching
IRFs only after the proposed changes
have been implemented.
Furthermore, we believe it is
important to ensure that the data
accurately count residents who
participate in managing the
rehabilitation of IRF patients. We are
particularly interested in ensuring that
the FTE resident counts used for the
proposed IRF teaching status adjustment
do not duplicate resident counts used
for purposes of the IPPS IME
adjustment, and that hospitals do not
have incentives to shift residents from
the acute care hospital to the hospital’s
rehabilitation unit for purposes of
computing the proposed IRF teaching
adjustment. We are soliciting comments
on the most valid and reliable method
of counting residents for purposes of a
proposed teaching status adjustment.
We note that any changes we may make,
based on our further investigation of
this issue or on comments we receive on
this proposed rule, to the methodology
for counting residents could affect the
magnitude of the proposed teaching
adjustment or even whether the data
continue to indicate that the proposed
teaching status adjustment is
appropriate.
In addition, we recognize that the
proposed new teaching status
adjustment, especially if implemented
in a budget-neutral manner, is an
important issue for all providers
because it involves a redistribution of
resources among facilities. That is,
under the proposal, IRFs with teaching
programs would receive additional
payments, while IRFs without teaching
programs would have their payments
lowered to maintain total estimated
payments for FY 2006 at the same level
as without the proposed adjustment. For
this reason, we believe caution is
warranted in this case.
We are specifically soliciting
comments on our consideration of the
IRF teaching status adjustment.
4. Proposed Adjustment for Rural
Location
Consistent with the broad statutory
authority conferred upon the Secretary
in section 1886(j)(3)(A)(v) of the Act, we
adjust the Federal prospective payment
amount associated with a CMG to
account for an IRF’s geographic wage
variation, low-income patients and, if
applicable, location in a rural area, as
described in § 412.624(e).
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Under the broad statutory authority
conferred upon the Secretary in section
1886(j)(3)(A)(v) of the Act, we are
proposing to increase the adjustment to
the Federal prospective payment
amount for IRFs located in rural areas
from 19.14 percent to 24.1 percent. We
are proposing this change because
RAND’s regression analysis, using the
best available data we have (FY 2003),
indicates that rural facilities now have
24.1 percent higher costs of caring for
Medicare patients than urban facilities.
We note that we propose to use the
same statistical approach, as described
in the November 3, 2000 proposed rule
(65 FR 66304, 66356 through 66357) and
adopted in the August 7, 2001 final rule
(66 FR at 41359) to estimate the
proposed update to the rural
adjustment. The statistical approach
RAND used both when the PPS was first
implemented and for the proposed
update described in this proposed rule
relies on the coefficient determined
from the regression analysis. The 19.14
percent rural adjustment has been
applied to payments for IRFs located in
rural areas since the implementation of
the IRF PPS. We note that the FY 2003
data are the best available data we have,
just as the 1998 and 1999 data used in
the initial development of the IRF PPS
were the best available data at that time.
We are proposing to implement the
proposed update to the rural adjustment
so that total estimated aggregate
payments for FY 2006 are the same with
the proposed update to the adjustment
as they would have been without the
proposed update to the adjustment (that
is, in a budget neutral manner). We are
proposing to make this proposed update
to the rural adjustment in a budget
neutral manner because we believe that
the results of RAND’s analysis of 2002
and 2003 IRF cost data (as discussed
previously in this proposed rule)
suggest that additional money does not
need to be added to the IRF PPS.
RAND’s analysis found, for example,
that if all IRFs had been paid based on
100 percent of the IRF PPS payment
rates throughout all of 2002 (some IRFs
were still transitioning to PPS payments
during 2002), PPS payments during
2002 would have been 17 percent higher
than IRFs’ costs. We are open to
examining other evidence regarding the
amount of estimated aggregate payments
in the system.
This is consistent with section
1886(j)(3)(A)(v) of the Act which confers
broad statutory authority upon the
Secretary to adjust the per payment unit
payment rate by such factors as the
Secretary determines are necessary to
properly reflect variations in necessary
costs of treatment among rehabilitation
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facilities. To ensure that total estimated
aggregate payments to IRFs do not
change, we propose to apply a factor to
the standard payment conversion factor
to assure that the estimated aggregate
payments under this subsection in the
FY are not greater or less than those that
would have been made in the year
without the proposed update to the
adjustment. In sections III.B.7 and
III.B.8 of this proposed rule, we discuss
the methodology and factor we are
proposing to apply to the standard
payment amount.
5. Proposed Adjustment for
Disproportionate Share of Low-Income
Patients
Consistent with the broad statutory
authority conferred upon the Secretary
in section 1886(j)(3)(A)(v) of the Act, we
adjust the Federal prospective payment
amount associated with a CMG to
account for an IRF’s geographic wage
variation, low-income patients and, if
applicable, location in a rural area, as
described in § 412.624(e).
Under the broad statutory authority
conferred upon the Secretary in section
1886(j)(3)(A)(v) of the Act, we are
proposing to update the low-income
patient (LIP) adjustment to the Federal
prospective payment rate to account for
differences in costs among IRFs
associated with differences in the
proportion of low-income patients they
treat. RAND’s regression analysis of
2003 data indicates that the LIP formula
could be updated to better distribute
current payments among facilities
according to the proportion of low-
30245
income patients they treat. Although the
current formula appropriately
distributed LIP-adjusted payments
among facilities when the IRF PPS was
first implemented, we believe the
formula should be updated from time to
time to reflect changes in the costs of
caring for low-income patients.
The proposed LIP adjustment is based
on the formula used to account for the
costs of furnishing care to low-income
patients as discussed in the August 7,
2001 final rule (67 FR at 41360). We
propose to update the LIP adjustment
from the power of 0.4838 to the power
of 0.636. Therefore, the proposed
formula to calculate the LIP adjustment
would be as follows: (1 + DSH patient
percentage) raised to the power of (.636)
Where DSH patient percentage =
We note that we propose to use the
same statistical approach, as described
in the August 7, 2001 final rule (66 FR
at 41359 through 41360), that was used
to develop the original LIP adjustment.
We note that the FY 2003 data we
propose to use in calculating this
adjustment are the best available data,
just as the 1998 and 1999 data used in
the initial development of the IRF PPS
were the best available data at that time.
We are proposing to implement the
proposed update to the LIP adjustment
so that total estimated aggregate
payments for FY 2006 are the same with
the proposed update to the adjustment
as they would have been without the
proposed update to the adjustment (that
is, in a budget neutral manner). We are
proposing to make this proposed update
to the LIP adjustment in a budget
neutral manner because we believe that
the results of RAND’s analysis of 2002
and 2003 IRF cost data (as discussed
previously in this proposed rule)
suggest that additional money does not
need to be added to the IRF PPS.
RAND’s analysis found, for example,
that if all IRFs had been paid based on
100 percent of the IRF PPS payment
rates throughout all of 2002 (some IRFs
were still transitioning to PPS payments
during 2002), PPS payments during
2002 would have been 17 percent higher
than IRFs’ costs. We are open to
examining other evidence regarding the
amount of estimated aggregate payments
in the system.
This is consistent with section 1886
(j)(3)(A)(v) of the Act which confers
broad statutory authority upon the
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Secretary to adjust the per payment unit
payment rate by such factors as the
Secretary determines are necessary to
properly reflect variations in necessary
costs of treatment among rehabilitation
facilities. To ensure that total estimated
aggregate payments to IRFs do not
change, we propose to apply a factor to
the standard payment conversion factor
to assure that the estimated aggregate
payments under this subsection in the
FY are not greater or less than those that
would have been made in the year
without the proposed update to the
adjustment. In sections III.B.7 and
III.B.8 of this proposed rule, we discuss
the methodology and factor we are
proposing to apply to the standard
payment amount.
6. Proposed Update to the Outlier
Threshold Amount
Consistent with the broad statutory
authority conferred upon the Secretary
in sections 1886(j)(4)(A)(i) and
1886(j)(4)(A)(ii) of the Act, we are
proposing to update the outlier
threshold amount from the $11,211
threshold amount for FY 2005 to $4,911
in FY 2006 to maintain total estimated
outlier payments at 3 percent of total
estimated payments. In the August 7,
2001 final rule, we discuss our rationale
for setting estimated outlier payments at
3 percent of total estimated payments
(66 FR at 41362). We continue to
propose to use 3 percent for the same
reasons outlined in the August 7, 2001
final rule. We believe it is necessary to
update the outlier threshold amount
because RAND’s analysis of the calendar
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year 2002 and FY 2003 data indicates
that total estimated outlier payments
will not equal 3 percent of total
estimated payments unless we update
the outlier loss threshold. We will
continue to analyze the estimated
outlier payments for subsequent years
and adjust as appropriate in order to
maintain estimated outlier payments at
3 percent of total estimated payments.
The reasons for estimated outlier
payments not equaling 3 percent of total
estimated payments are discussed in
more detail below.
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. In
the August 7, 2001 final rule, we
codified at § 412.624(e)(4) of the
regulations (which would be
redesignated as § 412.624(e)(5)) the
provision to make an adjustment for
additional payments for outlier cases
that have extraordinarily high costs
relative to the costs of most discharges.
Providing additional payments for
outliers strongly improves the accuracy
of the IRF PPS in determining resource
costs at the patient and facility level
because facilities receive additional
compensation over and above the
adjusted Federal prospective payment
amount for uniquely high-cost cases.
These additional payments reduce the
financial losses that would otherwise be
caused by treating patients who require
more costly care and, therefore, reduce
the incentives to underserve these
patients.
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Under § 412.624(e)(4) (which would
be redesignated as § 412.624(e)(5)), we
make outlier payments for any
discharges if the estimated cost of a case
exceeds the adjusted IRF PPS payment
for the CMG plus the adjusted threshold
amount (we are proposing to make this
$4,911, which is then adjusted for each
IRF by the facility’s wage adjustment, its
LIP adjustment, its rural adjustment,
and its teaching status adjustment, if
applicable). We calculate the estimated
cost of a case by multiplying the IRF’s
overall cost-to-charge ratio by the
Medicare allowable covered charge. In
accordance with § 412.624(e)(4), we pay
outlier cases 80 percent of the difference
between the estimated cost of the case
and the outlier threshold (the sum of the
adjusted IRF PPS payment for the CMG
and the adjusted fixed threshold dollar
amount).
Consistent with the broad statutory
authority conferred upon the Secretary
in sections 1886(j)(4)(A)(i) and
1886(j)(4)(A)(ii) of the Act, and in
accordance with the methodology stated
in the August 1, 2003 final rule (68 FR
at 45692 through 45693), we propose to
continue to apply a ceiling to an IRF’s
cost-to-charge ratios (CCR). Also, in the
August 1, 2003 final rule (68 FR at
45693 through 45694), we stated the
methodology we use to adjust IRF
outlier payments and the methodology
we use to make these adjustments. We
indicated that the methodology is
codified in § 412.624(e)(4) (which
would be redesignated as
§ 412.624(e)(5)) and § 412.84(i)(3).
On February 6, 2004, we issued
manual instructions in Change Request
2998 stating that we would set forth the
upper threshold (ceiling) and the
national CCRs applicable to IRFs in each
year’s annual notice of prospective
payment rates published in the Federal
Register. The upper threshold CCR for
IRFs that we are proposing for FY 2006
would be 1.52 based on CBSA-based
geographic designations. We are
proposing to base this upper threshold
CCR on the CBSA-based geographic
designations because the CBSAs are the
geographic designations we are
proposing to adopt for purposes of
computing the proposed wage index
adjustment to IRF payments for FY
2006. If, instead, we were to use the
MSA geographic designations, the upper
threshold CCR amount would likely be
different than the 1.52 we are proposing
above. In addition, this is an estimated
threshold and is subject to change in the
final rule based on more recent data.
In addition, we are proposing to
update the national urban and rural
CCRs for IRFs. Under § 412.624(e)(4)
(which would be redesignated as
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§ 412.624(e)(5)) and § 412.84(i)(3), we
are proposing to apply the national
CCRs to the following situations:
• New IRFs that have not yet
submitted their first Medicare cost
report.
• IRFs whose operating or capital
CCR is in excess of 3 standard
deviations above the corresponding
national geometric mean.
• Other IRFs for whom the fiscal
intermediary obtains accurate data with
which to calculate either an operating or
capital CCR (or both) are not available.
The national CCR based on the facility
location of either urban or rural would
be used in each of the three situations
cited above. Specifically, for FY 2006,
we have estimated a proposed national
CCR of 0.631 for rural IRFs and 0.518 for
urban IRFs. For new facilities, we are
proposing to use these national ratios
until the facility’s actual CCR can be
computed using the first tentative
settled or final settled cost report data,
which will then be used for the
subsequent cost report period.
In the August 7, 2001 final rule (66 FR
at 41362 through 41363), we describe
the process by which we calculate the
outlier threshold. We continue to use
this process for this proposed rule. We
begin by simulating aggregate payments
with and without an outlier policy, and
applying an iterative process to
determine a threshold that would result
in outlier payments being equal to 3
percent of total simulated payments
under the simulation. We note that the
simulation analysis used to calculate the
proposed $4,911 outlier threshold
includes all of the proposed changes to
the PPS discussed in this proposed rule,
and is therefore subject to change in the
final rule depending on the policies
contained in the final rule. In addition,
we will continue to analyze the
estimated outlier payments for
subsequent years and adjust as
appropriate in order to maintain
estimated outlier payments at 3 percent
of total estimated payments.
In this proposed rule, we are
proposing to update the threshold
amount to $4,911 so that outlier
payments will continue to equal 3
percent of total estimated payments
under the IRF PPS. RAND found that
2002 outlier payments were equal to 3.1
percent of total payments in 2002.
Nevertheless, the outlier loss threshold
is affected by cost-to-charge ratios
because the cost-to-charge ratios are
used to compute the estimated cost of a
case, which in turn is used to determine
if a particular case qualifies for an
outlier payment or not. For example, if
the cost-to-charge ratio decreases, then
the estimated costs of a case with the
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same reported charges would decrease.
Thus, the chances that the case would
exceed the outlier loss threshold and
qualify for an outlier payment would
decrease, decreasing the likelihood that
the case would qualify for an outlier
payment. If fewer cases were to qualify
for outlier payments, then total
estimated outlier payments could fall
below 3 percent of total estimated
payments.
Our analyses of cost report data from
FY 1999 through FY 2002 (and
projections for FY 2004 though FY
2006) indicate that the overall cost-tocharge ratios in IRFs have been falling
since the IRF PPS was implemented. We
are still analyzing possible reasons for
this finding. However, because cost-tocharge ratios are used to determine
whether a particular case qualifies for
an outlier payment, this drop in the
cost-to-charge ratios is likely
responsible for much of the drop in total
estimated outlier payments below 3
percent of total estimated payments.
Thus, the outlier threshold would need
to be lowered from $11,211 to $4,911 for
FY 2006 in order that total estimated
outlier payments would equal 3 percent
of total estimated payments.
In addition, we are proposing to
adjust the outlier threshold for FY 2006
because RAND’s analysis of calendar
year 2002 and FY 2003 data indicates
that many of the other proposed changes
discussed in this proposed rule would
affect what the outlier threshold would
need to be in order for total estimated
outlier payments to equal 3 percent of
total estimated payments. The outlier
loss threshold is affected by the
definitions of all other elements of the
IRF PPS, including the structure of the
CMGs and the tiers, the relative weights,
the policies for very short-stay cases and
for cases in which the patient expires in
the facility (that is, cases that qualify for
the special CMG assignments), and the
facility-level adjustments (such as the
rural adjustment, the LIP adjustment,
and the proposed teaching status
adjustment). In this proposed rule, we
are proposing to change many of these
components of the IRF PPS. For the
reasons discussed above, then, we
believe it is appropriate to update the
outlier loss threshold for FY 2006. We
expect to continue to adjust the outlier
threshold in the future when the data
indicate that total estimated outlier
payments would deviate from equaling
3 percent of total estimated payments.
7. Proposed Budget Neutrality Factor
Methodology for Fiscal Year 2006
We are proposing to make a one-time
revision (for FY 2006) to the
methodology found in § 412.624(d) in
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order to make the proposed changes to
the tiers and CMGs, the rural
adjustment, the LIP adjustment, and the
proposed teaching status adjustment in
a budget neutral manner. Accordingly,
we are proposing to revise § 412.624(d)
by adding a section § 412.624(d)(4) for
fiscal year 2006. Specifically, we are
proposing to revise the methodology
found in § 412.624(d) by adding a new
paragraph (d)(4). The addition of this
paragraph would provide for the
application of a factor, as specified by
the Secretary, which would be applied
to the standard payment amount in
order to make the proposed changes
described in this preamble in a budget
neutral manner for FY 2006. In addition,
this paragraph would be used in future
years if we propose refinements to the
above-cited adjustments. According to
the revised methodology, we propose to
apply the market basket increase factor
(3.1 percent) to the standard payment
conversion factor for FY 2005 ($12,958),
which equals $13,360. Then, we
propose a one-time reduction to the
standard payment amount of 1.9 percent
to adjust for coding changes that
increased payment to IRFs (as discussed
in section III.A of this proposed rule),
which equals $13,106. We then propose
to apply the budget neutral wage
adjustment (as discussed in section
III.B.2.f of this proposed rule) of 0.9996
to $13,106, which would result in a
standard payment amount of $13,101.
For FY 2006 only, we propose to change
the methodology for computing the
standard payment conversion factor by
applying budget neutrality factors for
the proposed changes to the tiers and
CMGs, the rural adjustment, the LIP
adjustment, and the proposed teaching
status adjustment. The next section
contains a detailed explanation of these
proposed budget neutrality factors,
including the steps for computing these
factors and how they affect total
estimated aggregate payments and
payments to individual IRF providers.
The factors we are proposing to apply
(as discussed in the next section) are
0.9994 for the proposed tier and CMG
changes, 0.9865 for the proposed
teaching status adjustment, 0.9963 for
the proposed change to the rural
adjustment, and 0.9836 for the proposed
change to the LIP adjustment. These
factors are subject to change as we
analyze more current data. We have
combined these factors, by multiplying
the four factors together, into one budget
neutrality factor for all four of these
proposed changes (0.9994 * 0.9865 *
0.9963 * 0.9836 = 0.9662). We apply
this overall budget neutrality factor to
$13,101, resulting in a standard
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payment conversion factor for FY 2006
of $12,658. Note that the FY 2006
standard payment conversion factor is
lower than it was in FY 2005 because it
needed to be reduced to ensure that
estimated aggregate payments for FY
2006 would remain the same as they
otherwise would have been without the
proposed changes. If we did not
proposed to decrease the standard
payment conversion factor, each of the
proposed changes would increase total
estimated aggregate payments by
increasing payments to rural and
teaching facilities, and to facilities with
a higher average case mix of patients
and facilities that treat a higher
proportion of low-income patients. To
assess how overall payments to a
particular type of IRF would likely be
affected by the proposed budget-neutral
changes, please see Table 13 of this
proposed rule.
The FY 2006 standard payment
conversion factor would be applied to
each CMG relative weight shown in
Table 6, Proposed Relative Weights for
Case-Mix Groups, to compute the
proposed unadjusted IRF prospective
payment rates for FY 2006 shown in
Table 12. To further clarify, the
proposed one-time budget neutrality
factors described above will only be
applied for FY 2006. In addition, if no
further refinements are proposed for
subsequent fiscal years, we will use the
methodology as described in
§ 412.624(c)(3)(ii).
8. Description of the Methodology Used
To Implement the Proposed Changes in
a Budget Neutral Manner
Section 1886(j)(2)(C)(i) of the Act
confers broad statutory authority upon
the Secretary to adjust the classification
and weighting factors in order to
account for relative resource use. In
addition, section 1886(j)(2)(C)(ii)
provides that insofar as the Secretary
determines that such adjustments for a
previous fiscal year (or estimates of such
adjustments for a future fiscal year) did
(or are likely to) result in a change in
aggregated payments under the
classification system during the fiscal
year that are a result of changes in the
coding or classification of patients that
do not reflect real changes in case mix,
the Secretary shall adjust the per
payment unit payment rate for
subsequent years to eliminate the effect
of such coding or classification changes.
Similarly, section 1886(j)(3)(A)(v) of the
Act confers broad statutory authority
upon the Secretary to adjust the per
discharge payment rate by such factors
as the Secretary determines are
necessary to properly reflect variations
in necessary costs of treatment among
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IRFs. Consistent with this broad
statutory authority, we are proposing to
better distribute aggregate payments
among IRFs to more accurately reflect
their case mix and the increased costs
associated with IRFs that have teaching
programs, are located in rural areas, or
treat a high proportion of low-income
patients.
To ensure that total estimated
aggregate payments to IRFs do not
change with these proposed changes, we
propose to apply a factor to the standard
payment amount for each of the
proposed changes to ensure that
estimated aggregate payments in FY
2006 are not greater or less than those
that would have been made in the year
without the proposed changes. We
propose to calculate these four factors
using the following steps:
Step 1: Determine the FY 2006 IRF
PPS standard payment amount using the
FY 2005 standard payment conversion
factor increased by the estimated market
basket of 3.1 percent and reduced by 1.9
percent to account for coding changes
(as discussed in section III.A of this
proposed rule).
Step 2: Multiply the CBSA-based
budget neutrality factor discussed in
this preamble by the standard payment
amount computed in step 1 to account
for the wage index and labor-related
share (0.9996), as discussed in section
III.B.2.f of this proposed rule.
Step 3: Calculate the estimated total
amount of IRF PPS payments for FY
2006 (with no change to the tiers and
CMGs, no teaching status adjustment,
and no changes to the rural and LIP
adjustments).
Step 4: Apply the proposed new tier
and CMG assignments (as discussed in
section II) to calculate the estimated
total amount of IRF PPS payments for
FY 2006.
Step 5: Divide the amount calculated
in step 3 by the amount calculated in
step 4 to determine the factor (currently
estimated to be 0.9994) that maintains
the same total estimated aggregate
payments in FY 2006 with and without
the proposed changes to the tier and
CMG assignments.
Step 6: Apply the factor computed in
step 5 to the standard payment amount
from step 2, and calculate estimated
total IRF PPS payment for FY 2006.
Step 7: Apply the proposed change to
the rural adjustment (as discussed in
section III.B.4 of this proposed rule) to
calculate the estimated total amount of
IRF PPS payments for FY 2006.
Step 8: Divide the amount calculated
in step 6 by the amount calculated in
step 7 to determine the factor (currently
estimated to be 0.9963) that keeps total
estimated payments in FY 2006 the
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same with and without the proposed
change to the rural adjustment.
Step 9: Apply the factor computed in
step 8 to the standard payment amount
from step 6, and calculate estimated
total IRF PPS payment for FY 2006.
Step 10: Apply the proposed change
to the LIP adjustment (as discussed in
section III.B.5 of this proposed rule) to
calculate the estimated total amount of
IRF PPS payments for FY 2006.
Step 11: Divide the amount calculated
in step 9 by the amount calculated in
step 10 to determine the factor
(currently estimated to be 0.9836) that
maintains the same total estimated
aggregate payments in FY 2006 with and
without the proposed change to the LIP
adjustment.
Step 12: Apply the factor computed in
step 11 to the standard payment amount
from step 9, and calculate estimated
total IRF PPS payment for FY 2006.
Step 13: Apply the proposed teaching
status adjustment (as discussed in
section III.B.5 of this proposed rule) to
calculate the estimated total amount of
IRF PPS payments for FY 2006.
Step 14: Divide the amount calculated
in step 12 by the amount calculated in
step 13 to determine the factor
(currently estimated to be 0.9865) that
maintains the same total estimated
aggregate payments in FY 2006 with and
without the proposed teaching status
adjustment.
As discussed in section III.B.9 of this
proposed rule, the proposed FY 2006
IRF PPS standard payment conversion
factor that accounts for the proposed
new tier and CMG assignments, the
proposed changes to the rural and the
LIP adjustments, and the proposed
teaching status adjustment applies the
following factors: the market basket
update, the reduction of 1.9 percent to
account for coding changes, the budgetneutral CBSA-based wage index and
labor-related share budget neutrality
factor of 0.9996, the proposed tier and
CMG changes budget neutrality factor of
0.9994, the proposed rural adjustment
budget neutrality factor of 0.9963, the
proposed LIP adjustment budget
neutrality factor of 0.9836, and the
proposed teaching status adjustment
budget neutrality factor of 0.9865.
Each of these proposed budget
neutrality factors lowers the proposed
standard payment amount. The budget
neutrality factor for the proposed tier
and CMG changes lowers the standard
payment amount from $13,101 to
$13,093. The budget neutrality factor for
the proposed change to the rural
adjustment lowers the standard
payment amount from $13,093 to
$13,045. The budget neutrality factor for
the proposed change to the LIP
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adjustment lowers the standard
payment amount from $13,045 to
$12,831. Finally, the budget neutrality
factor for the proposed teaching status
adjustment lowers the standard
payment amount from $12,831 to
$12,658. As indicated previously, the
standard payment conversion factor
would need to be lowered in order to
ensure that total estimated payments for
FY 2006 with the proposed changes
equal total estimated payments for FY
2006 without the proposed changes.
This is because these four proposed
changes would result in an increase, on
average, to total estimated aggregate
payments to IRFs, because IRFs with
teaching programs, IRFs located in rural
areas, IRFs with higher case mix, and
IRFs with higher proportions of lowincome patients would receive higher
payments. To maintain the same total
estimated aggregate payments to all
IRFs, then, we are proposing to
redistribute payments among IRFs.
Thus, some redistribution of payments
occurs among facilities, while total
estimated aggregate payments do not
change. To determine how these
proposed changes are estimated to affect
payments among different types of
facilities, please see Table 13 in this
proposed rule.
9. Description of the Proposed IRF
Standard Payment Conversion Factor for
Fiscal Year 2006
In the August 7, 2001 final rule, we
established a standard payment amount
referred to as the budget neutral
conversion factor under § 412.624(c). In
accordance with the methodology
described in § 412.624(c)(3)(i), the
budget neutral conversion factor for FY
2002, as published in the August 7,2001
final rule, was $11,838.00. Under
§ 412.624(c)(3)(i), this amount reflects,
as appropriate, any adjustments for
outlier payments, budget neutrality, and
coding and classification changes as
described in § 412.624(d).
The budget neutral conversion factor
is a standardized payment amount and
the amount reflects the budget
neutrality adjustment for FY 2002. The
statute required a budget neutrality
adjustment only for FYs 2001 and 2002.
Accordingly, we believed it was more
consistent with the statute to refer to the
standard payment as a standard
payment conversion factor, rather than
refer to it as a budget neutral conversion
factor. Consequently, we changed all
references to budget neutral conversion
factor to ‘‘standard payment conversion
factor.’’
Under § 412.624(c)(3)(i), the standard
payment conversion factor for FY 2002
of $11,838.00 reflected the budget
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neutrality adjustment described in
§ 412.624(d)(2). Under the then existing
§ 412.624(c)(3)(ii), we updated the FY
2002 standard payment conversion
factor ($11,838.00) to FY 2003 by
applying an increase factor (the market
basket) of 3.0 percent, as described in
the update notice published in the
August 1, 2002 Federal Register (67 FR
at 49931). This yielded the FY 2003
standard payment conversion factor of
$12,193.00 that was published in the
August 1, 2002 update notice (67 FR at
49931). The FY 2003 standard payment
conversion factor ($12,193) was used to
update the FY 2004 standard payment
conversion factor by applying an
increase factor (the market basket) of 3.2
percent and budget neutrality factor of
0.9954, as described in the August 1,
2003 Federal Register (68 FR at 45689).
This yielded the FY 2004 standard
payment conversion factor of $12,525
that was published in the August 1,
2003 Federal Register (68 FR at 45689).
The FY 2004 standard payment
conversion factor ($12,525) was used to
update the FY 2005 standard payment
conversion factor by applying an
increase factor (the market basket) of 3.1
percent and budget neutrality factor of
1.0035, as described in the July 30, 2004
Federal Register (69 FR at 45766). This
yielded the FY 2005 standard payment
conversion factor of $12,958 as
published in the July 30, 2004 Federal
Register (69 FR at 45766).
We propose to use the revised
methodology in accordance with
§ 412.624(c)(3)(ii)and as described in
section III.B.7 of this proposed rule. To
calculate the standard payment
conversion factor for FY 2006, we are
proposing to apply the market basket
increase factor (3.1 percent) to the
standard payment conversion factor for
FY 2005 ($12,958), which equals
$13,360. Then, we propose a one-time
reduction to the standard payment
amount of 1.9 percent to adjust for
coding changes that increased payment
to IRFs, which equals $13,106. We then
propose to apply the budget neutral
wage adjustment of 0.9996 to $13,106,
which would result in a standard
payment amount of $13,101. Next, we
propose to apply a one-time budget
neutrality factor (for FY 2006 only) for
the proposed budget neutral refinements
to the tiers and CMGs, the teaching
status adjustment, the rural adjustment,
and the adjustment for the proportion of
low-income patients (of 0.9662) to
$13,101, which would result in a
standard payment conversion factor for
FY 2006 of $12,658. The FY 2006
standard payment conversion factor
would be applied to each CMG weight
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shown in Table 6, Proposed Relative
Weights for Case-Mix Groups, to
compute the unadjusted IRF prospective
payment rates for FY 2006 shown in
Table 12.
Thus, the proposed adjusted payment
for Facility A would be $31,671.57, and
Both Medicare beneficiaries are
classified to CMG 0110 (without
comorbidities). To calculate each IRF’s
total proposed adjusted Federal
prospective payment, we compute the
wage-adjusted Federal prospective
payment and multiply the result by the
appropriate low-income patient
adjustment, the rural adjustment (if
applicable), and the teaching hospital
adjustment (if applicable). Table 11
illustrates the components of the
proposed adjusted payment calculation.
the adjusted payment for Facility B
would be $41,637.65.
10. Example of the Proposed
Methodology for Adjusting the Federal
Prospective Payment Rates
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To illustrate the methodology that we
propose to use to adjust the Federal
prospective payments (as described in
section III.B.7 and section III.B.8 of this
proposed rule), we provide an example
in Table 11 below.
One beneficiary is in Facility A, an
IRF located in rural Montana, and
another beneficiary is in Facility B, an
IRF located in the New York City corebased statistical area. Facility A, a nonteaching hospital, has a
disproportionate share hospital (DSH)
adjustment of 5 percent, with a lowincome patient adjustment of (1.0315), a
wage index of (0.8701), and an
applicable rural area adjustment (24.1
percent). Facility B, a teaching hospital,
has a DSH of 15 percent, with a LIP
adjustment of (1.0929), a wage index of
(1.3311), and an applicable teaching
status adjustment of (1.109).
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BILLING CODE 4120–01–C
These proposed revisions and others are
discussed in detail below.
IV. Provisions of the Proposed
Regulations
A. Section 412.602
(If you choose to comment on issues in this
section, please include the caption
‘‘Provisions of the Proposed Regulations’’ at
the beginning of your comments.)
We are proposing to make revisions to
the regulation in order to implement the
proposed prospective payment for IRFs
for FY 2006 and subsequent fiscal years.
Specifically, we are proposing to make
conforming changes in 42 CFR part 412.
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Definitions
In § 412.602, we are proposing to
revise the definitions of ‘‘Rural area’’
and ‘‘Urban area’’ to read as follows:
Rural area means: For cost-reporting
periods beginning on or after January 1,
2002, with respect to discharges
occurring during the period covered by
such cost reports but before October 1,
2005, an area as defined in
§ 412.62(f)(1)(iii). For discharges
occurring on or after October 1, 2005,
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rural area means an area as defined in
§ 412.64(b)(1)(ii)(C).
Urban area means: For cost-reporting
periods beginning on or after January 1,
2002, with respect to discharges
occurring during the period covered by
such cost reports but before October 1,
2005, an area as defined in
§ 412.62(f)(1)(ii). For discharges
occurring on or after October 1, 2005,
urban area means an area as defined in
§ 412.64(b)(1)(ii)(A) and
§ 412.64(b)(1)(ii)(B).
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B. Section 412.622
Basis of payment
In this section, we are proposing to
correct the cross references in
paragraphs (b)(1) and (b)(2)(i). In
paragraph (b)(1), we are proposing to
remove the cross references ‘‘§§ 413.85
and 413.86 of this chapter’’ and add in
their place ‘‘§ 413.75 and § 413.85 of
this chapter.’’ In paragraph (b)(2)(i), we
are proposing to remove the cross
reference ‘‘§ 413.80 of this chapter’’ and
add in its place ‘‘§ 413.89 of this
chapter.’’
C. Section 412.624 Methodology for
calculating the Federal prospective
payment rates.
• In paragraph (d)(1), removing the
cross reference to ‘‘paragraph (e)(4)’’ and
adding in its place ‘‘paragraph (e)(5).’’
• Adding a new paragraph (d)(4).
• Redesignating paragraphs (e)(4) and
(e)(5) as paragraphs (e)(5) and (e)(6).
• Adding a new paragraph (e)(4).
• Revising newly redesignated
paragraph (e)(5).
• Revising newly redesignated
paragraph (e)(6).
• In paragraph (f)(2)(v), removing the
cross references to ‘‘paragraphs (e)(1),
(e)(2), and (e)(3) of this section’’ and
adding in their place ‘‘paragraphs (e)(1),
(e)(2), (e)(3), and (e)(4) of this section.’’
D. Additional Changes
• Reduce the standard payment
conversion factor by 1.9 percent to
account for coding changes.
• Revise the comorbidity tiers and
CMGs.
• Use a weighted motor score index
in assigning patients to CMGs.
• Update the relative weights.
• Update payments for rehabilitation
facilities using a market basket
reflecting the operating and capital cost
structures for the RPL market basket.
• Provide the weights and proxies to
use for the FY 2002-based RPL market
basket.
• Indicate the methodology for the
capital portion of the RPL market
basket.
• Adopt the new geographic labor
market area definitions as specified in
§ 412.64(b)(1)(ii)(A)–(C).
• Use the New England MSAs as
determined under the proposed new
CBSA-based labor market area
definitions.
• Use FY 2001 acute care hospital
wage data in computing the FY 2006
IRF PPS payment rates.
• Implement a teaching status
adjustment.
• Update the formulas used to
compute the rural and the LIP
adjustments to IRF payments.
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• Update the outlier threshold
amount to maintain total outlier
payments at 3 percent of total estimated
payments.
• Revise the methodology for
computing the standard payment
conversion factor (for FY 2006 only) to
make the proposed CMG and tier
changes, the proposed teaching status
adjustment, and the proposed updates
to the rural and LIP adjustments in a
budget neutral manner.
V. Collection of Information
Requirements
This document does not impose
information collection and
recordkeeping requirements.
Consequently, it need not be reviewed
by the Office of Management and
Budget under the authority of the
Paperwork Reduction Act of 1995.
VI. Response to 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 date 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.
VII. Regulatory Impact Analysis
[If you choose to comment on issues in
this section, please include the caption
‘‘Regulatory Impact Analysis’’ at the
beginning of your comments.]
A. Introduction
The August 7, 2001 final rule
established the IRF PPS for the payment
of Medicare services for cost reporting
periods beginning on or after January 1,
2002. We incorporated a number of
elements into the IRF PPS, such as caselevel adjustments, a wage adjustment,
an adjustment for the percentage of lowincome patients, a rural adjustment, and
outlier payments. This proposed rule
sets forth updates of the IRF PPS rates
contained in the August 7, 2001 final
rule and proposes policy changes with
regard to the IRF PPS based on analyses
conducted by RAND under contract
with us on calendar year 2002 and FY
2003 data (updated from the 1999 data
used to design the IRF PPS).
In constructing these impacts, we do
not attempt to predict behavioral
responses, nor do we make adjustments
for future changes in such variables as
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
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future-oriented and, thus, susceptible to
forecasting errors due to other changes
in the forecasted impact time period.
Some examples of such possible events
are newly legislated general Medicare
program funding changes by the
Congress, or changes specifically related
to IRFs. In addition, changes to the
Medicare program may continue to be
made as a result of the BBA, the BBRA,
the BIPA, or new statutory provisions.
Although these changes may not 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.
We have examined the impacts of this
proposed rule as required by Executive
Order 12866 (September 1993,
Regulatory Planning and Review) and
the Regulatory Flexibility Act (RFA) and
Impact on Small Hospitals (September
16, 1980, Pub. L. 96–354), section
1102(b) of the Social Security Act, the
Unfunded Mandates Reform Act of 1995
(Pub. L. 104–4), and Executive Order
13132.
1. Executive Order 12866
Executive Order 12866 (as amended
by Executive Order 13258, which
merely reassigns responsibility of
duties) directs 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). A regulatory impact analysis
(RIA) must be prepared for major rules
with economically significant effects
($100 million or more in any 1 year).
We estimate that the cost to the
Medicare program for IRF services in FY
2006 will increase by $180 million over
FY 2005 levels. The updates to the IRF
labor-related share and wage indices are
made in a budget neutral manner. We
are proposing to make changes to the
CMGs and the tiers, the teaching status
adjustment, and the rural and LIP
adjustments in a budget neutral manner
(that is, in order that total estimated
aggregate payments with the changes
equal total estimated aggregate
payments without the changes). This
means that we are proposing to improve
the distribution of payments among
facilities depending on the mix of
patients they treat, their teaching status,
their geographic location (rural vs.
urban), and the percentage of lowincome patients they treat, without
changing total estimated aggregate
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payments. To accomplish this
redistribution of payments among
facilities, we lower the base payment
amount, which then gets adjusted
upward for each facility according to the
facility’s characteristics. This proposed
redistribution would not, however,
affect aggregate payments to facilities.
Thus, the proposed changes to the IRF
labor-related share and the wage
indices, the proposed changes to the
CMGs, the tiers, and the motor score
index, the proposed teaching status
adjustment, the proposed update to the
rural adjustment, and the proposed
update to the LIP adjustment would
have no overall effect on estimated costs
to the Medicare program. Therefore, the
estimated increased cost to the Medicare
program is due to the updated IRF
market basket of 3.1 percent, the 1.9
percent reduction to the standard
payment conversion factor to account
for changes in coding that affect total
aggregate payments, and the update to
the outlier threshold amount. We have
determined that this proposed rule is a
major rule as defined in 5 U.S.C. 804(2).
Based on the overall percentage change
in payments per case estimated using
our payment simulation model (a 2.9
percent increase), we estimate that the
total impact of these proposed changes
for FY 2006 payments compared to FY
2005 payments would be approximately
a $180 million increase. This amount
does not reflect changes in IRF
admissions or case-mix intensity, which
would also affect overall payment
changes.
that follows. 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.
2. Regulatory Flexibility Act (RFA)
The RFA requires agencies to analyze
the economic impact of our regulations
on small entities. If we determine that
the proposed regulation would impose a
significant burden on a substantial
number of small entities, we must
examine options for reducing the
burden. For purposes of the RFA, small
entities include small businesses,
nonprofit organizations, and
government agencies. Most IRFs and
most other providers and suppliers are
considered small entities, either by
nonprofit status or by having revenues
of $6 million to $29 million in any 1
year. (For details, see the Small
Business Administration’s regulation
that set forth size standards for health
care industries at 65 at FR 69432.)
Because we lack data on individual
hospital receipts, we cannot determine
the number of small proprietary IRFs.
Therefore, we assume that all IRFs
(approximate total of 1,200 IRFs, of
which approximately 60 percent are
nonprofit facilities) are considered small
entities for the purpose of the analysis
4. Unfunded Mandates Reform Act
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3. Impact on Rural Hospitals
Section 1102(b) of the Act requires us
to prepare a regulatory impact analysis
for any proposed rule that 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. With the exception of hospitals
located in certain New England
counties, for purposes of section 1102(b)
of the Act, we previously defined a
small rural hospital as a hospital with
fewer than 100 beds that is located
outside of a Metropolitan Statistical
Area (MSA) or New England County
Metropolitan Area (NECMA). However,
under the new labor market definitions
that we are proposing to adopt, we
would no longer employ NECMAs to
define urban areas in New England.
Therefore, for purposes of this analysis,
we now define a small rural hospital as
a hospital with fewer than 100 beds that
is located outside of a Metropolitan
Statistical Area (MSA).
As discussed in detail below, the rates
and policies set forth in this proposed
rule would not have an adverse impact
on rural hospitals based on the data of
the 169 rural units and 21 rural
hospitals in our database of 1,188 IRFs
for which data were available.
Section 202 of the Unfunded
Mandates Reform Act of 1995 (Pub. L.
104–4) also requires that agencies assess
anticipated costs and benefits before
issuing any proposed rule that may
result in an expenditure in any 1 year
by State, local, or tribal governments, in
the aggregate, or by the private sector, of
at least $110 million. This proposed rule
would not mandate any requirements
for State, local, or tribal governments,
nor would it affect private sector costs.
5. Executive Order 13132
Executive Order 13132 establishes
certain requirements that an agency
must meet when it promulgates a
proposed rule that imposes substantial
direct requirement costs on State and
local governments, preempts State law,
or otherwise has Federalism
implications. We have reviewed this
proposed rule in light of Executive
Order 13132 and have determined that
it would not have any negative impact
on the rights, roles, or responsibilities of
State, local, or tribal governments.
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6. Overall Impact
The following analysis, in
conjunction with the remainder of this
document, demonstrates that this
proposed rule is consistent with the
regulatory philosophy and principles
identified in Executive Order 12866, the
RFA, and section 1102(b) of the Act. We
have determined that the proposed rule
would have a significant economic
impact on a substantial number of small
entities or a significant impact on the
operations of a substantial number of
small rural hospitals.
B. Anticipated Effects of the Proposed
Rule
We discuss below the impacts of this
proposed rule on the budget and on
IRFs.
1. Basis and Methodology of Estimates
In this proposed rule, we are
proposing policy changes and payment
rate updates for the IRF PPS. Based on
the overall percentage change in
payments per discharge estimated using
a payment simulation model developed
by RAND under contract with CMS (a
2.9 percent increase), we estimate the
total impact of these proposed changes
for FY 2006 payments compared to FY
2005 payments to be approximately a
$180 million increase. This amount
does not reflect changes in hospital
admissions or case-mix intensity, which
would also affect overall payment
changes.
We have prepared separate impact
analyses of each of the proposed
changes to the IRF PPS. RAND’s
payment simulation model relies on the
most recent available data (FY 2003) to
enable us to estimate the impacts on
payments per discharge of certain
changes we are proposing in this
proposed rule.
The data used in developing the
quantitative analyses of changes in
payments per discharge presented
below are taken from the FY 2003
MedPAR file and the most current
Provider-Specific File that is used for
payment purposes. Data from the most
recently available IRF cost reports were
used to estimate costs and to categorize
hospitals. Our analysis has several
qualifications. First, we do not make
adjustments for behavioral changes that
hospitals may adopt in response to the
proposed policy changes, and we do not
adjust for future changes in such
variables as admissions, lengths of stay,
or case-mix. Second, due to the
interdependent nature of the IRF PPS
payment components, it is very difficult
to precisely quantify the impact
associated with each proposed change.
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Using cases in the FY 2003 MedPAR
file, we simulated payments under the
IRF PPS given various combinations of
payment parameters.
The proposed changes discussed
separately below are the following:
• The effects of the proposed annual
market basket update (using the
proposed rehabilitation hospital,
psychiatric hospital, and long-term care
hospital (RPL) market basket) to IRF PPS
payment rates required by sections
1886(j)(3)(A)(i) and 1886(j)(3)(C) of the
Act.
• The effects of applying the
proposed budget-neutral labor-related
share and wage index adjustment, as
required under section 1886(j)(6) of the
Act.
• The effects of the proposed decrease
to the standard payment conversion
factor to account for the increase in
estimated aggregate payments due to
changes in coding, as required under
section 1886(j)(2)(C)(ii) of the Act.
• The effects of the proposed budgetneutral changes to the tier
comorbidities, CMGs, motor score
index, and relative weights, under the
authority of section 1886(j)(2)(C)(i) of
the Act.
• The effects of the proposed
adoption of new CBSAs based on the
new geographic area definitions
announced by OMB in June 2003.
• The effects of the proposed
implementation of a budget-neutral
teaching status adjustment, as permitted
under section 1886(j)(3)(A)(v) of the Act.
• The effects of the proposed budgetneutral update to the percentage amount
by which payments are adjusted for
IRFs located in rural areas, as permitted
under section 1886(j)(3)(A)(v) of the Act.
• The effects of the proposed budgetneutral update to the formula used to
calculate the payment adjustment for
IRFs based on the percentage of lowincome patients they treat, as permitted
under section 1886(j)(3)(A)(v) of the Act.
• The effects of the proposed change
to the outlier loss threshold amount to
maintain total estimated outlier
payments at 3 percent of total estimated
payments to IRFs in FY 2006, consistent
with section 1886(j)(4) of the Act.
• The total change in payments based
on the proposed FY 2006 policies
relative to payments based on FY 2005
policies.
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To illustrate the impacts of the
proposed FY 2006 changes, our analysis
begins with a FY 2005 baseline
simulation model using: IRF charges
inflated to FY 2005 using the market
basket; the FY 2005 PRICER; the
estimated percent of outlier payments in
FY 2005; the FY 2005 CMG GROUPER
(version 1.22); the MSA designations for
IRFs based on OMB’s MSA definitions
prior to June 2003; the FY 2005 wage
index; the FY 2005 labor-market share;
the FY 2005 formula for the LIP
adjustment; and the FY 2005 percentage
amount of the rural adjustment.
Each proposed policy change is then
added incrementally to this baseline
model, finally arriving at a FY 2006
model incorporating all of the proposed
changes to the IRF PPS. This allows us
to isolate the effects of each change.
Note that, in computing estimated
payments per discharge for each of the
proposed policy changes, the outlier
loss threshold has been adjusted so that
estimated outlier payments are 3
percent of total estimated payments.
Our final comparison illustrates the
percent change in payments per
discharge from FY 2005 to FY 2006. One
factor that affects the proposed changes
in IRFs’ payments from FY 2005 to FY
2006 is that we currently estimate total
outlier payments during FY 2005 to be
1.2 percent of total estimated payments.
As discussed in the August 7, 2001 final
rule (66 FR at 41362), our policy is to
set total estimated outlier payments at 3
percent of total estimated payments.
Because estimated outlier payments
during FY 2005 were below 3 percent of
total payments, payments in FY 2006
would increase by an additional 1.8
percent over payments in FY 2005
because of the proposed change in the
outlier loss threshold to achieve the 3
percent target.
2. Analysis of Table 13
Table 13 displays the results of our
analysis. The table categorizes IRFs by
geographic location, including urban or
rural location and location with respect
to CMS’ nine regions 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 by
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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 1,188
IRFs included in the analysis.
The next twelve rows of Table 13
contain IRFs categorized according to
their geographic location, designation as
either a freestanding hospital or a unit
of a hospital, and by type of ownership:
all urban, which is further divided into
urban units of a hospital, urban
freestanding hospitals, by type of
ownership, and rural, which is further
divided into rural units of a hospital,
rural freestanding hospitals, and by type
of ownership. There are 998 IRFs
located in urban areas included in our
analysis. Among these, there are 802 IRF
units of hospitals located in urban areas
and 196 freestanding IRF hospitals
located in urban areas. There are 190
IRFs located in rural areas included in
our analysis. Among these, there are 169
IRF units of hospitals located in rural
areas and 21 freestanding IRF hospitals
located in rural areas. There are 354 forprofit IRFs. Among these, there are 295
IRFs in urban areas and 59 IRFs in rural
areas. There are 708 non-profit IRFs.
Among these, there are 603 urban IRFs
and 105 rural IRFs. There are 126
government owned IRFs. Among these,
there are 100 urban IRFs and 26 rural
IRFs.
The following three parts of Table 13
show IRFs grouped by their geographic
location within a region, and the last
part groups IRFs by teaching status.
First, IRFs located in urban areas are
categorized with respect to their
location within a particular one of nine
geographic regions. Second, IRFs
located in rural areas are categorized
with respect to their location within a
particular one of the nine CMS 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.
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3. Impact of the Proposed Market Basket
Update to the IRF PPS Payment Rates
(Using the RPL Market Basket) (Column
6, Table 13)
In column 6 of Table 13, we present
the effects of the proposed market
basket update to the IRF PPS payment
rates, as discussed in section III.B.1 of
this proposed rule. Section
1886(j)(3)(A)(i) of the Act requires us
annually to update the per discharge
prospective payment rate for IRFs by an
increase factor specified by the
Secretary and based on an appropriate
percentage increase in a market basket
of goods and services comprising
services for which payment is made to
IRFs, as specified in section
1886(j)(3)(C) of the Act.
As discussed in detail in section
III.B.1 of this proposed rule, we are
proposing to use a new market basket
that reflects the operating and capital
cost structures of inpatient
rehabilitation facilities, inpatient
psychiatric facilities, and long-term care
hospitals, referred to as the
rehabilitation hospital, psychiatric
hospital, and long-term care hospital
(RPL) market basket. The proposed FY
2006 update for IRF PPS payments
using the proposed FY 2002-based RPL
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market basket and the Global Insight’s
4th quarter 2004 forecast would be 3.1
percent.
In the aggregate, and across all
hospital groups, the proposed update
would result in a 3.1 percent increase in
overall payments to IRFs.
4. Impact of Updating the BudgetNeutral Labor-Related Share and MSABased Wage Index Adjustment (Column
4, Table 14)
In column 4 of Table 14, we present
the effects of a budget-neutral update to
the labor-related share and the wage
index adjustment (using the geographic
area definitions developed by OMB
before June 2003), as discussed in
section III.B.2 of this proposed rule.
Since we are not proposing to use the
MSA labor market definitions, table 14
is for reference purposes only.
Section 1886(j)(6) of the Act requires
us annually to adjust the proportion of
rehabilitation facilities’ costs that are
attributable to wages and wage-related
costs, of the prospective payment rates
under the IRF PPS for area differences
in wage levels by a factor reflecting the
relative hospital wage level in the
geographic area of the rehabilitation
facility compared to the national
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average wage level for such facilities.
This section of the Act also requires any
such adjustments to be made in a
budget-neutral manner.
In accordance with section 1886(j)(6)
of the Act, we are proposing to update
the labor-related share and adopt the
wage index adjustment based on CBSA
designations in a budget neutral
manner. However, if we do not adopt
the CBSA-based designations, this
would not change aggregated payments
to IRF as indicated in the first row of
column 4 in Table 14. If we only update
the MSA-based wage index and laborrelated share, there would be small
distributional effects among different
categories of IRFs. For example, rural
IRFs would experience a 1.0 percent
decrease while urban facilities would
experience a 0.1 percent increase in
payments based on the RLP laborrelated share and MSA-based wage
index. Rural IRFs in the East South
Central region would experience the
largest decrease of 1.8 percent based on
the proposed FY 2006 labor-related
share and MSA-based wage index.
Urban IRFs in the Pacific region would
experience the largest increase in
payments of 0.8 percent.
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5. Impact of the Proposed 1.9 Percent
Decrease in the Standard Payment
Amount to Account for Coding Changes
(Column 11, Table 13)
In column 11 of Table 13, we present
the effects of the proposed decrease in
the standard payment amount to
account for the increase in aggregate
payments due to changes in coding that
do not reflect real changes in case mix,
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as discussed in section III.A of this
proposed rule. Section 1886(j)(2)(C)(ii)
of the Act requires us to adjust the per
discharge PPS payment rate to eliminate
the effect of coding or classification
changes that do not reflect real changes
in case mix if we determine that such
changes result in a change in aggregate
payments under the classification
system.
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In the aggregate, and across all
hospital groups, the proposed update
would result in a 1.9 percent decrease
in overall payments to IRFs. Thus, we
estimate that the 1.9 percent reduction
in the standard payment amount would
result in a cost savings to the Medicare
program of approximately $120 million.
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6. Impact of the Proposed Changes to
the CMG Reclassifications and
Recalibration of Relative Weights
(Column 7, Table 13)
In column 7 of Table 13, we present
the effects of the proposed changes to
the tier comorbidities, the CMGs, the
motor score index, and the proposed
recalibration of the relative weights, as
discussed in section II.A of this
proposed rule. Section 1886(j)(2)(C)(i) of
the Act requires us to adjust from time
to time the classifications and weighting
factors as appropriate to reflect changes
in treatment patterns, technology, case
mix, number of payment units for which
payment under the IRF PPS is made,
and any other factors which may affect
the relative use of resources.
As described in section II.A.3 of this
proposed rule, we are proposing to
update the tier comorbidities to remove
condition codes from the list that we
believe no longer merit additional
payments, move dialysis patients to tier
one to increase payments for these
patients, and to align payments with the
comorbidity conditions according to
their effects on the relative costliness of
patients. We are also proposing to
update the CMGs and the relative
weights for the CMGs so that they better
reflect the relative costliness of different
types of IRF patients. We are also
proposing to replace the current motor
score index with a weighted motor score
index that better estimates the relative
costliness of IRF patients. Finally, we
are proposing to change the coding of
patients with missing information for
the transfer to toilet item in the motor
score index from 1 to 2.
To assess the impact of these
proposed changes, we compared
aggregate payments using the FY 2005
CMG relative weights (GROUPER
version 1.22) to aggregate payments
using the proposed FY 2006 CMG
relative weights (GROUPER version
1.30). We note that, under the authority
in section 1886(j)(2)(C)(i) of the Act and
consistent with our rationale as
described in section II.B.4 of this
proposed rule, we have applied a budget
neutrality factor to ensure that the
overall payment impact of the proposed
CMG changes is budget neutral (that is,
in order that total estimated aggregate
payments for FY 2006 with the change
are equal to total estimated aggregate
payment for FY 2006 without the
change). Because we found that the
proposed relative weights we would use
for calculating the FY 2006 payment
rates are slightly higher, on average,
than the relative weights we are
currently using, and that the effect of
this would be to increase aggregate
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payments, the proposed budget
neutrality factor for the CMG and tier
changes lowers the standard payment
amount somewhat. Because the lower
standard payment amount is balanced
by the higher average weights, the effect
is no change in overall payments to
IRFs. However, the distribution of
payments among facilities is affected,
with some facilities receiving higher
payments and some facilities receiving
lower payments as a result of the tier
and CMG changes, as shown in column
7 of Table 13.
Although, in the aggregate, these
proposed changes would not change
overall payments to IRFs, as shown in
the zero impact in the first row of
column 7, there are distributional effects
of these changes. On average, the
impacts of these proposed changes on
any particular group of IRFs are very
small, with urban IRFs experiencing a
0.1 percent decrease and rural IRFs
experiencing a 1.2 percent increase in
aggregate payments. The largest impacts
are a 2.7 percent increase among rural
IRFs in the West North Central region
and a 2.7 percent decrease among rural
IRFs in the Pacific region.
7. Impact of the Proposed Changes to
New Labor Market Areas (Column 4,
Table 13)
In accordance with the broad
discretion under section 1886(j)(6) of
the Act, we currently define hospital
labor market areas based on the
definitions of Metropolitan Statistical
Areas (MSAs), Primary MSAs (PMSAs),
and New England County Metropolitan
Areas (NECMAs) issued by OMB as
discussed in section III.B.2 of this
proposed rule. On June 6, 2003, OMB
announced new Core-Based Statistical
Areas (CBSAs), comprised of MSAs and
the new Micropolitan Statistical Areas
based on Census 2000 data. We are
proposing to adopt the new MSA
definitions, consistent with the
inpatient prospective payment system,
including the 49 new Metropolitan areas
designated under the new definitions.
We are also proposing to adopt MSA
definitions in New England in place of
NECMAs. We are proposing not to adopt
the newly defined Micropolitan
Statistical Areas for use in the payment
system, as Micropolitan Statistical Areas
would remain part of the statewide rural
areas for purposes of the IRF PPS
payments, consistent with payments
under the inpatient prospective
payment system.
The effects of these proposed changes
to the new CBSA-based designations are
isolated in column 4 of Table 13 by
holding all other payment parameters
constant in this simulation. That is,
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column 4 shows the percentage changes
in payments when going from a model
using the current MSA designations to
a model using the proposed new CBSA
designations (for Metropolitan areas
only).
Table 15 below compares the shifts in
proposed wage index values for IRFs for
FY 2006 relative to FY 2005. A small
number of IRFs (1.6 percent) would
experience an increase of between 5 and
10 percent and 1.5 percent of IRFs
would experience an increase of more
than 10 percent. A small number of IRFs
(2.5 percent) would experience
decreases in their wage index values of
at least 5 percent, but less than 10
percent. Furthermore, IRFs that would
experience decreases in their wage
index values of greater than 10 percent
would be 0.7 percent.
The following table shows the
projected impact for IRFs.
TABLE 15.—PROPOSED IMPACT OF
THE PROPOSED FY 2006 CBSABASED AREA WAGE INDEX
Percent change in area wage index
Percent
of IRFs
Decrease Greater Than 10.0 .........
Decrease Between 5.0 and 10.0 ....
Decrease Between 2.0 and 5.0 ......
Decrease Between 0 and 2.0 .........
No Change .....................................
Increase Between 0 and 2.0 ..........
Increase Between 2.0 and 5.0 .......
Increase Between 5.0 and 10.0 .....
Increase Greater Than 10.0 ...........
0.7
2.5
5.7
25.6
37.2
22.1
3.3
1.6
1.5
Total 1 ..........................................
100.0
1 May
not exactly equal 100 percent due to
rounding.
8. Impact of the Proposed Adjustment to
the Outlier Threshold Amount (Column
5, Table 13)
We estimate total outlier payments in
FY 2005 to be approximately 1.2 percent
of total estimated payments, so we are
proposing to update the threshold from
$11,211 in FY 2005 to $4,911 in FY
2006 in order to set total estimated
outlier payments in FY 2006 equal to 3
percent of total estimated payments in
FY 2006.
The impact of this proposed change
(as shown in column 5 of table 13) is to
increase total estimated payments to
IRFs by about 1.8 percent.
The effect on payments to rural IRFs
would be to increase payments by 3.9
percent, and the effect on payments to
urban IRFs would be to increase
payments by 1.6 percent. The largest
effect would be a 9.5 percent increase in
payments to rural IRFs in the Mountain
region, and the smallest effect would be
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no change in payments for urban IRFs
located in the East South Central region.
9. Impact of the Proposed BudgetNeutral Teaching Status Adjustment
(Column 10, Table 13)
In column 10 of Table 13, we present
the effects of the proposed budgetneutral implementation of a teaching
status adjustment to the Federal
prospective payment rate for IRFs that
have teaching programs, as discussed in
section III.B.3 of this proposed rule.
Section 1886(j)(3)(A)(v) of the Act
requires the Secretary to adjust the
Federal prospective payment rates for
IRFs under the IRF PPS for such factors
as the Secretary determines are
necessary to properly reflect variations
in necessary costs of treatment among
rehabilitation facilities. Under the
authority of section 1886 (j)(3)(A)(v) of
the Act, we are proposing to apply a
budget neutrality factor to ensure that
the overall payment impact of the
proposed teaching status adjustment is
budget neutral (that is, in order that
total estimated aggregate payments for
FY 2006 with the proposed adjustment
would equal total estimated aggregate
payments for FY 2006 without the
proposed adjustment). Because IRFs
with teaching programs would receive
additional payments from the
implementation of this proposed new
teaching status adjustment, the effect of
the proposed budget neutrality factor
would be to reduce the standard
payment amount, therefore reducing
payments to IRFs without teaching
programs. By design, however, the
increased payments to teaching facilities
would balance the decreased payments
to non-teaching facilities, and total
estimated aggregate payments to all IRFs
would remain unchanged. Therefore,
the first row of column 10 of Table 13
indicates a zero impact in the aggregate.
However, the rest of column 10 gives
the distributional effects among
different types of providers of this
change. Some providers’ payments
increase and some decrease with this
change.
On average, the impacts of this
proposed change on any particular
group of IRFs are very small, with urban
IRFs experiencing a 0.1 percent increase
and rural IRFs experiencing a 1.1
percent decrease. The largest impacts
are a 2.0 percent increase among urban
IRFs in the Middle Atlantic region and
1.2 percent decreases among rural IRFs
in the Middle Atlantic, South Atlantic,
and West South Central regions.
Overall, non-teaching hospitals would
experience a 1.1 percent decrease. The
largest impacts are a 24.3 percent
increase among teaching facilities with
intern and resident to ADC ratios greater
than 19 percent. Teaching facilities that
have intern and resident to ADC ratios
greater than or equal to 10 percent and
less than or equal to 19 percent would
experience an increase of 11 percent.
Teaching facilities with resident and
intern to ADC ratios less than 10 percent
would experience an increase of 2.6
percent.
10. Impact of the Proposed Update to
the Rural Adjustment (Column 8, Table
13)
In column 8 of Table 13, we present
the effects of the proposed budgetneutral update to the percentage
adjustment to the Federal prospective
payment rates for IRFs located in rural
areas, as discussed in section III.B.4 of
this proposed rule. Section
1886(j)(3)(A)(v) of the Act requires the
Secretary to adjust the Federal
prospective payment rates for IRFs
under the IRF PPS for such factors as
the Secretary determines are necessary
to properly reflect variations in
necessary costs of treatment among
rehabilitation facilities.
In accordance with section
1886(j)(3)(A)(v) of the Act, we are
proposing to change the rural
adjustment percentage, based on FY
2003 data, from 19.14 percent to 24.1
percent.
Because we are proposing to make
this proposed update to the rural
adjustment in a budget neutral manner
under the broad authority conferred by
section 1886(j)(3)(A)(v) of the Act,
payments to urban facilities would
decrease in proportion to the total
increase in payments to rural facilities.
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To accomplish this redistribution of
resources between urban and rural
facilities, we propose to apply a budget
neutrality factor to reduce the standard
payment amount. Rural facilities would
receive an increase in payments to this
amount, and urban facilities would not.
Overall, aggregate payments to IRFs
would not change, as indicated by the
zero impact in the first row of column
8. However, payments would be
redistributed among rural and urban
IRFs, as indicated by the rest of the
column. On average, because there are
a relatively small number of rural
facilities, the impacts of this proposed
change on urban IRFs are relatively
small, with all urban IRFs experiencing
a 0.3 percent decrease. The impact on
rural IRFs is somewhat larger, with rural
IRFs experiencing a 3.4 percent
increase. The largest impacts are a 3.6
percent increase among rural IRFs in the
Middle Atlantic region.
11. Impact of the Proposed Update to
the LIP Adjustment (Column 9, Table
13)
In column 9 of Table 13, we present
the effects of the proposed budgetneutral update to the adjustment to the
Federal prospective payment rates for
IRFs according to the percentage of lowincome patients they treat, as discussed
in section III.B.5 of this proposed rule.
Section 1886(j)(3)(A)(v) of the Act
requires the Secretary to adjust the
Federal prospective payment rates for
IRFs under the IRF PPS for such factors
as the Secretary determines are
necessary to properly reflect variations
in necessary costs of treatment among
rehabilitation facilities.
In accordance with section
1886(j)(3)(A)(v) of the Act, we are
proposing to change the formula for the
LIP adjustment, based on FY 2003 data,
to raise the amount of 1 plus the DSH
patient percentage to the power of 0.636
instead of the power of 0.4838.
Therefore, the formula to calculate the
low-income patient or LIP adjustment
would be as follows:
(1 + DSH patient percentage) raised to
the power of (.636) Where DSH patient
percentage =
Because we are proposing to make
this proposed update to the LIP
adjustment in a budget neutral manner,
payments would be redistributed among
providers, according to their lowincome percentages, but total estimated
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aggregate payments to facilities would
not change. To do this, we propose to
apply a budget neutrality factor that
lowers the standard payment amount in
proportion to the amount of payment
increase that is attributable to the
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increased LIP adjustment payments.
This would result in no change to
aggregate payments, which is reflected
in the zero impact shown in the first
row of column 9 of Table 13. The
remaining rows of the column show the
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impacts on different categories of
providers. On average, the impacts of
this proposed change on any particular
group of IRFs are small, with urban IRFs
experiencing no change in aggregate
payments and rural IRFs experiencing a
0.1 percent decrease in aggregate
payments. The largest impacts are a 1.2
percent increase among IRFs with 10
percent or higher intern and resident to
ADC ratios and 0.9 percent decrease
among rural IRFs in the Pacific region.
12. All Proposed Changes (Column 12,
Table 13)
Column 12 of Table 13 compares our
estimates of the proposed payments per
discharge, incorporating all proposed
changes reflected in this proposed rule
for FY 2006, to our estimates of
payments per discharge in FY 2005
(without these proposed changes). This
column includes all of the proposed
policy changes.
Column 12 reflects all FY 2006
proposed changes relative to FY 2005,
shown in columns 4 though 11. The
average increase for all IRFs is
approximately 2.9 percent. This
increase includes the effects of the
proposed 3.1 percent market basket
update. It also reflects the 1.8
percentage point difference between the
estimated outlier payments in FY 2005
(1.2 percent of total estimated
payments) and the proposed estimate of
the percentage of outlier payments in
FY 2006 (3 percent), as described in the
introduction to the Addendum to this
proposed rule. As a result, payments per
discharge are estimated to be 1.8 percent
lower in FY 2005 than they would have
been had the 3 percent target outlier
payment percentage been met, resulting
in a 1.8 percent greater increase in total
FY 2006 payments than would
otherwise have occurred.
It also includes the impact of the
proposed one-time 1.9 percent
reduction in the standard payment
conversion factor to account for changes
in coding that increased payments to
IRFs. Because we propose to make the
remainder of the proposed changes
outlined in this proposed rule in a
budget-neutral manner, they do not
affect total IRF payments in the
aggregate. However, as described in
more detail in each section, they do
affect the distribution of payments
among providers.
There might also be interactive effects
among the various proposed factors
comprising the payment system that we
are not able to isolate. For these reasons,
the values in column 12 may not equal
the sum of the proposed changes
described above.
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16:45 May 24, 2005
Jkt 205001
The proposed overall change in
payments per discharge for IRFs in FY
2006 would increase by 2.9 percent, as
reflected in column 12 of Table 13. IRFs
in urban areas would experience a 2.6
percent increase in payments per
discharge compared with FY 2005. IRFs
in rural areas, meanwhile, would
experience a 6.8 percent increase.
Rehabilitation units in urban areas
would experience a 5 percent increase
in payments per discharge, while
freestanding rehabilitation hospitals in
urban areas would experience a 1.1
percent decrease in payments per
discharge. Rehabilitation units in rural
areas would experience a 6.5 percent
increase in payments per discharge,
while freestanding rehabilitation
hospitals in rural areas would
experience a 8.1 percent increase in
payments per discharge.
Overall, the largest payment increase
would be 32.1 percent among teaching
IRFs with an intern and resident to ADC
ratio greater than 19 percent and 15.8
percent among teaching IRFs with an
intern and resident to ADC ratio greater
than or equal to 10 percent and less than
or equal to 19 percent. This is largely
due to the proposed teaching status
adjustment. Other than for teaching
IRFs, the largest payment increase
would be 12.3 percent among rural IRFs
located in the Middle Atlantic region.
This is due largely to the change in the
proposed CBSA-based designation from
urban to rural, whereby the number of
cases in the rural Middle Atlantic
Region that would receive the proposed
new rural adjustment of 24.1 percent
would increase. The only overall
decreases in payments would occur
among all urban freestanding IRFs and
urban IRFs located in the New England,
East South Central, and Mountain
census regions. The largest of these
overall payment decreases would be 1.3
percent among all urban freestanding
hospitals. This is due largely to the
proposed change in the CBSA-based
designation from rural to urban. For
non-profit IRFs, we found that rural
non-profit facilities would receive the
largest payment increase of 8 percent.
Conversely, for-profit urban facilities
would experience a 1.1 percent overall
decrease.
13. Accounting Statement
As required by OMB Circular A–4
(available at https://
www.whitehouse.gov/omb/circulars/
a004/a-4.pdf), in Table 16 below, we
have prepared an accounting statement
showing the classification of the
expenditures associated with the
provisions of this proposed rule. This
table provides our best estimate of the
PO 00000
Frm 00080
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Sfmt 4702
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 1,188 IRFs in our
database. All expenditures are classified
as transfers to Medicare providers (that
is, IRFs).
TABLE 16.—ACCOUNTING STATEMENT:
CLASSIFICATION OF ESTIMATED EXPENDITURES, FROM FY 2005 TO FY
2006 (IN MILLIONS)
Category
Annualized Monetized
Transfers.
From Whom To
Whom?
Transfers
$180
Federal Government
To IRF Medicare
Providers.
List of Subjects in 42 CFR Part 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: Secs. 1102 and 1871 of the
Social Security Act (42 U.S.C. 1302 and
1395hh).
Subpart P—Prospective Payment for
Inpatient Rehabilitation Hospitals and
Rehabilitation Units
2. Section 412.602 is amended by
revising the definitions of ‘‘Rural area’’
and ‘‘Urban area’’ to read as follows:
§ 412.602
Definitions.
*
*
*
*
*
Rural area means: For cost-reporting
periods beginning on or after January 1,
2002, with respect to discharges
occurring during the period covered by
such cost reports but before October 1,
2005, an area as defined in
§ 412.62(f)(1)(iii). For discharges
occurring on or after October 1, 2005,
rural area means an area as defined in
§ 412.64(b)(1)(ii)(C).
*
*
*
*
*
Urban area means: For cost-reporting
periods beginning on or after January 1,
2002, with respect to discharges
occurring during the period covered by
such cost reports but before October 1,
2005, an area as defined in
§ 412.62(f)(1)(ii). For discharges
occurring on or after October 1, 2005,
E:\FR\FM\25MYP2.SGM
25MYP2
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
urban area means an area as defined in
§ 412.64(b)(1)(ii)(A) and
§ 412.64(b)(1)(ii)(B).
§ 412.622
[Amended]
3. Section 412.622 is amended by—
A. In paragraph (b)(1), removing the
cross references ‘‘§§ 413.85 and 413.86
of this chapter’’ and adding in their
place ‘‘§ 413.75 and § 413.85 of this
chapter’’.
B. In paragraph (b)(2)(i), removing the
cross reference to ‘‘§ 413.80 of this
chapter’’ and adding in its place
‘‘§ 413.89 of this chapter’’.
4. Section 412.624 is amended by—
a. In paragraph (d)(1), removing the
cross reference to ‘‘paragraph (e)(4)’’ and
adding in its place ‘‘paragraph (e)(5)’’.
b. Adding a new paragraph (d)(4).
c. Redesignating paragraphs (e)(4) and
(e)(5) as paragraphs (e)(5) and (e)(6).
d. Adding a new paragraph (e)(4).
e. Revising newly redesignated
paragraph (e)(5).
f. Revising newly redesignated
paragraph (e)(6).
g. In paragraph (f)(2)(v), removing the
cross references to ‘‘paragraphs (e)(1),
(e)(2), and (e)(3) of this section’’ and
adding in their place ‘‘paragraphs (e)(1),
(e)(2), (e)(3), and (e)(4) of this section’’.
The revisions and additions read as
follows:
§ 412.624 Methodology for calculating the
Federal prospective payment rates.
*
*
*
*
*
(d) * * *
(4) Payment adjustment for Federal
fiscal year 2006 and subsequent Federal
fiscal years. CMS adjusts the standard
payment conversion factor based on any
updates to the adjustments specified in
paragraph (e)(2), (e)(3), and (e)(4), of this
section, and to any revision specified in
§ 412.620(c).
(e) * * *
(4) Adjustments for teaching
hospitals. For discharges on or after
October 1, 2005, CMS adjusts the
Federal prospective payment on a
facility basis by a factor as specified by
CMS for facilities that are teaching
institutions or units of teaching
institutions. This adjustment is made on
a claim basis as an interim payment and
the final payment in full for the claim
is made during the final settlement of
the cost report.
(5) Adjustment for high-cost outliers.
CMS provides for an additional
payment to an inpatient rehabilitation
facility if its estimated costs for a patient
exceed a fixed dollar amount (adjusted
for area wage levels and factors to
account for treating low-income
patients, for rural location, and for
teaching programs) as specified by CMS.
The additional payment equals 80
percent of the difference between the
estimated cost of the patient and the
sum of the adjusted Federal prospective
payment computed under this section
and the adjusted fixed dollar amount.
Effective for discharges occurring on or
after October 1, 2003, additional
payments made under this section will
be subject to the adjustments at
§ 412.84(i), except that national averages
will be used instead of statewide
averages. Effective for discharges
occurring on or after October 1, 2003,
additional payments made under this
section will also be subject to
adjustments at § 412.84(m).
(6) Adjustments related to the patient
assessment instrument. An adjustment
to a facility’s Federal prospective
payment amount for a given discharge
will be made, as specified under
§ 412.614(d), if the transmission of data
from a patient assessment instrument is
late.
*
*
*
*
*
30267
(Catalog of Federal Domestic Assistance
Program No. 93.773, Medicare—Hospital
Insurance; and Program No. 93.774,
Medicare—Supplementary Medical
Insurance Program)
Dated: April 14, 2005.
Mark B. McClellan,
Administrator, Centers for Medicare &
Medicaid Services.
Approved: May 4, 2005.
Michael O. Leavitt,
Secretary.
The following addendum will not
appear in the Code of Federal
Regulations.
Addendum
This addendum contains the tables
referred to throughout the preamble to
this proposed rule. The tables presented
below are as follows:
Table 1A.—FY 2006 IRF PPS MSA
Labor Market Area Designations for
Urban Areas for the purposes of
comparing Wage Index values with
Table 2A.
Table 1B.—FY 2006 IRF PPS MSA
Labor Market Area Designations for
Rural Areas for the purposes of
comparing Wage Index values with
Table 2B.
Table 2A.—Proposed Inpatient
Rehabilitation Facility (IRF) wage index
for urban areas based on proposed
CBSA labor market areas for discharges
occurring on or after October 1, 2005.
Table 2B.—Proposed Inpatient
Rehabilitation Facility (IRF) wage index
based on proposed CBSA labor market
areas for rural areas for discharges
occurring on or after October 1, 2005.
Table 3—Inpatient Rehabilitation
Facilities with Corresponding State and
County Location; Current Labor Market
Area Designation; and Proposed New
CBSA-based Labor Market Area
Designation.
TABLE 1A.—FY 2006 IRF PPS MSA LABOR MARKET AREA DESIGNATIONS FOR URBAN AREAS FOR THE PURPOSES OF
COMPARING WAGE INDEX VALUES WITH TABLE 2A
Wage
index
MSA
Urban area (Constituent Counties or County Equivalents)
0040 .........
Abilene, TX ............................................................................................................................................................................
Taylor, TX.
Aguadilla, PR .........................................................................................................................................................................
Aguada, PR.
Aguadilla, PR.
Moca, PR.
Akron, OH ..............................................................................................................................................................................
Portage, OH.
Summit, OH.
Albany, GA .............................................................................................................................................................................
Dougherty, GA.
Lee, GA.
Albany-Schenectady-Troy, NY ..............................................................................................................................................
Albany, NY.
Montgomery, NY.
Rensselaer, NY.
0060 .........
0080 .........
0120 .........
0160 .........
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0.8009
0.4294
0.9055
1.1266
0.8570
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TABLE 1A.—FY 2006 IRF PPS MSA LABOR MARKET AREA DESIGNATIONS FOR URBAN AREAS FOR THE PURPOSES OF
COMPARING WAGE INDEX VALUES WITH TABLE 2A—Continued
MSA
0200 .........
0220 .........
0240 .........
0280 .........
0320 .........
0380 .........
0440 .........
0450 .........
0460 .........
0470 .........
0480 .........
0500 .........
0520 .........
0560 .........
0580 .........
0600 .........
VerDate jul<14>2003
Wage
index
Urban area (Constituent Counties or County Equivalents)
Saratoga, NY.
Schenectady, NY.
Schoharie, NY.
Albuquerque, NM ...................................................................................................................................................................
Bernalillo, NM.
Sandoval, NM.
Valencia, NM.
Alexandria, LA .......................................................................................................................................................................
Rapides, LA.
Allentown-Bethlehem-Easton, PA ..........................................................................................................................................
Carbon, PA.
Lehigh, PA.
Northampton, PA.
Altoona, PA ............................................................................................................................................................................
Blair, PA.
Amarillo, TX ...........................................................................................................................................................................
Potter, TX.
Randall, TX.
Anchorage, AK .......................................................................................................................................................................
Anchorage, AK.
Ann Arbor, MI ........................................................................................................................................................................
Lenawee, MI.
Livingston, MI.
Washtenaw, MI.
Anniston,AL ............................................................................................................................................................................
Calhoun, AL.
Appleton-Oshkosh-Neenah, WI .............................................................................................................................................
Calumet, WI.
Outagamie, WI.
Winnebago, WI.
Arecibo, PR ............................................................................................................................................................................
Arecibo, PR.
Camuy, PR.
Hatillo, PR.
Asheville, NC .........................................................................................................................................................................
Buncombe, NC.
Madison, NC.
Athens, GA ............................................................................................................................................................................
Clarke, GA.
Madison, GA.
Oconee, GA.
Atlanta, GA ............................................................................................................................................................................
Barrow, GA.
Bartow, GA.
Carroll, GA.
Cherokee, GA.
Clayton, GA.
Cobb, GA.
Coweta, GA.
De Kalb, GA.
Douglas, GA.
Fayette, GA.
Forsyth, GA.
Fulton, GA.
Gwinnett, GA.
Henry, GA.
Newton, GA.
Paulding, GA.
Pickens, GA.
Rockdale, GA.
Spalding, GA.
Walton, GA.
Atlantic City-Cape May, NJ ...................................................................................................................................................
Atlantic City, NJ.
Cape May, NJ.
Auburn-Opelika, AL ...............................................................................................................................................................
Lee, AL.
Augusta-Aiken, GA-SC ..........................................................................................................................................................
Columbia, GA.
McDuffie, GA.
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25MYP2
1.0485
0.8171
0.9536
0.8462
0.9178
1.2109
1.0816
0.7881
0.9115
0.3757
0.9501
1.0202
0.9971
1.0907
0.8215
0.9208
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
30269
TABLE 1A.—FY 2006 IRF PPS MSA LABOR MARKET AREA DESIGNATIONS FOR URBAN AREAS FOR THE PURPOSES OF
COMPARING WAGE INDEX VALUES WITH TABLE 2A—Continued
MSA
0640 .........
0680 .........
0720 .........
0733 .........
0743 .........
0760 .........
0840 .........
0860 .........
0870 .........
0875 .........
0880 .........
0920 .........
0960 .........
1000 .........
1010 .........
1020 .........
1040 .........
1080 .........
1123 .........
VerDate jul<14>2003
Wage
index
Urban area (Constituent Counties or County Equivalents)
Richmond, GA.
Aiken, SC.
Edgefield, SC.
Austin-San Marcos, TX ..........................................................................................................................................................
Bastrop, TX.
Caldwell, TX.
Hays, TX.
Travis, TX.
Williamson, TX.
Bakersfield, CA ......................................................................................................................................................................
Kern, CA.
Baltimore, MD ........................................................................................................................................................................
Anne Arundel, MD.
Baltimore, MD.
Baltimore City, MD.
Carroll, MD.
Harford, MD.
Howard, MD.
Queen Annes, MD.
Bangor, ME ............................................................................................................................................................................
Penobscot, ME.
Barnstable-Yarmouth, MA .....................................................................................................................................................
Barnstable, MA.
Baton Rouge, LA ...................................................................................................................................................................
Ascension, LA.
East Baton Rouge.
Livingston, LA.
West Baton Rouge, LA.
Beaumont-Port Arthur, TX .....................................................................................................................................................
Hardin, TX.
Jefferson, TX.
Orange, TX.
Bellingham, WA .....................................................................................................................................................................
Whatcom, WA.
Benton Harbor, MI .................................................................................................................................................................
Berrien, MI.
Bergen-Passaic, NJ ...............................................................................................................................................................
Bergen, NJ.
Passaic, NJ.
Billings, MT ............................................................................................................................................................................
Yellowstone, MT.
Biloxi-Gulfport-Pascagoula, MS .............................................................................................................................................
Hancock, MS.
Harrison, MS.
Jackson, MS.
Binghamton, NY .....................................................................................................................................................................
Broome, NY.
Tioga, NY.
Birmingham, AL .....................................................................................................................................................................
Blount, AL.
Jefferson, AL.
St. Clair, AL.
Shelby, AL.
Bismarck, ND .........................................................................................................................................................................
Burleigh, ND.
Morton, ND.
Bloomington, IN .....................................................................................................................................................................
Monroe, IN.
Bloomington-Normal, IL .........................................................................................................................................................
McLean, IL.
Boise City, ID .........................................................................................................................................................................
Ada, ID.
Canyon, ID.
Boston-Worcester-Lawrence-Lowell-Brockton, MA-NH .........................................................................................................
Bristol, MA.
Essex, MA.
Middlesex, MA.
Norfolk, MA.
Plymouth, MA.
Suffolk, MA.
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0.9595
1.0036
0.9907
0.9955
1.2335
0.8354
0.8616
1.1642
0.8847
1.1967
0.8961
0.8649
0.8447
0.9198
0.7505
0.8587
0.9111
0.9352
1.1290
30270
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
TABLE 1A.—FY 2006 IRF PPS MSA LABOR MARKET AREA DESIGNATIONS FOR URBAN AREAS FOR THE PURPOSES OF
COMPARING WAGE INDEX VALUES WITH TABLE 2A—Continued
MSA
1125 .........
1145 .........
1150 .........
1240 .........
1260 .........
1280 .........
1303 .........
1310 .........
1320 .........
1350 .........
1360 .........
1400 .........
1440 .........
1480 .........
1520 .........
1540 .........
1560 .........
1580 .........
1600 .........
VerDate jul<14>2003
Wage
index
Urban area (Constituent Counties or County Equivalents)
Worcester, MA.
Hillsborough, NH.
Merrimack, NH.
Rockingham, NH.
Strafford, NH.
Boulder-Longmont, CO ..........................................................................................................................................................
Boulder, CO.
Brazoria, TX ...........................................................................................................................................................................
Brazoria, TX.
Bremerton, WA ......................................................................................................................................................................
Kitsap, WA.
Brownsville-Harlingen-San Benito, TX ..................................................................................................................................
Cameron, TX.
Bryan-College Station, TX .....................................................................................................................................................
Brazos, TX.
Buffalo-Niagara Falls, NY ......................................................................................................................................................
Erie, NY.
Niagara, NY.
Burlington, VT ........................................................................................................................................................................
Chittenden, VT.
Franklin, VT.
Grand Isle, VT.
Caguas, PR ...........................................................................................................................................................................
Caguas, PR.
Cayey, PR.
Cidra, PR.
Gurabo, PR.
San Lorenzo, PR.
Canton-Massillon, OH ............................................................................................................................................................
Carroll, OH.
Stark, OH.
Casper, WY ...........................................................................................................................................................................
Natrona, WY.
Cedar Rapids, IA ...................................................................................................................................................................
Linn, IA.
Champaign-Urbana, IL ..........................................................................................................................................................
Champaign, IL.
Charleston-North Charleston, SC ..........................................................................................................................................
Berkeley, SC.
Charleston, SC.
Dorchester, SC.
Charleston, WV ......................................................................................................................................................................
Kanawha, WV.
Putnam, WV.
Charlotte-Gastonia-Rock Hill, NC-SC ....................................................................................................................................
Cabarrus, NC.
Gaston, NC.
Lincoln, NC.
Mecklenburg, NC.
Rowan, NC.
Union, NC.
York, SC.
Charlottesville, VA .................................................................................................................................................................
Albemarle, VA.
Charlottesville City, VA.
Fluvanna, VA.
Greene, VA.
Chattanooga, TN-GA .............................................................................................................................................................
Catoosa, GA.
Dade, GA.
Walker, GA.
Hamilton, TN.
Marion, TN.
Cheyenne, WY .......................................................................................................................................................................
Laramie, WY.
Chicago, IL .............................................................................................................................................................................
Cook, IL.
De Kalb, IL.
Du Page, IL.
Grundy, IL.
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0.8524
1.0614
1.0125
0.9243
0.9339
0.9322
0.4061
0.8895
0.9243
0.8975
0.9527
0.9420
0.8876
0.9711
1.0294
0.9207
0.8980
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Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
30271
TABLE 1A.—FY 2006 IRF PPS MSA LABOR MARKET AREA DESIGNATIONS FOR URBAN AREAS FOR THE PURPOSES OF
COMPARING WAGE INDEX VALUES WITH TABLE 2A—Continued
MSA
1620 .........
1640 .........
1660 .........
1680 .........
1720 .........
1740 .........
1760 .........
1800 .........
1840 .........
1880 .........
1890 .........
1900 .........
1920 .........
1950 .........
1960 .........
VerDate jul<14>2003
Wage
index
Urban area (Constituent Counties or County Equivalents)
Kane, IL.
Kendall, IL.
Lake, IL.
McHenry, IL.
Will, IL.
Chico-Paradise, CA ...............................................................................................................................................................
Butte, CA.
Cincinnati, OH-KY-IN .............................................................................................................................................................
Dearborn, IN.
Ohio, IN.
Boone, KY.
Campbell, KY.
Gallatin, KY.
Grant, KY.
Kenton, KY.
Pendleton, KY.
Brown, OH.
Clermont, OH.
Hamilton, OH.
Warren, OH.
Clarksville-Hopkinsville, TN-KY .............................................................................................................................................
Christian, KY.
Montgomery, TN.
Cleveland-Lorain-Elyria, OH ..................................................................................................................................................
Ashtabula, OH.
Geauga, OH.
Cuyahoga, OH.
Lake, OH.
Lorain, OH.
Medina, OH.
Colorado Springs, CO ...........................................................................................................................................................
El Paso, CO.
Columbia MO .........................................................................................................................................................................
Boone, MO.
Columbia, SC .........................................................................................................................................................................
Lexington, SC.
Richland, SC.
Columbus, GA-AL ..................................................................................................................................................................
Russell, AL.
Chattanoochee, GA.
Harris, GA.
Muscogee, GA.
Columbus, OH .......................................................................................................................................................................
Delaware, OH.
Fairfield, OH.
Franklin, OH.
Licking, OH.
Madison, OH.
Pickaway, OH.
Corpus Christi, TX .................................................................................................................................................................
Nueces, TX.
San Patricio, TX.
Corvallis, OR ..........................................................................................................................................................................
Benton, OR.
Cumberland, MD-WV .............................................................................................................................................................
Allegany MD.
Mineral WV.
Dallas, TX ..............................................................................................................................................................................
Collin, TX.
Dallas, TX.
Denton, TX.
Ellis, TX.
Henderson, TX.
Hunt, TX.
Kaufman, TX.
Rockwall, TX.
Danville, VA ...........................................................................................................................................................................
Danville City, VA.
Pittsylvania, VA.
Davenport-Moline-Rock Island, IA-IL .....................................................................................................................................
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0.9595
0.8022
0.9626
0.9792
0.8396
0.9450
0.8690
0.9753
0.8647
1.0545
0.8662
1.0054
0.8643
0.8773
30272
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
TABLE 1A.—FY 2006 IRF PPS MSA LABOR MARKET AREA DESIGNATIONS FOR URBAN AREAS FOR THE PURPOSES OF
COMPARING WAGE INDEX VALUES WITH TABLE 2A—Continued
MSA
2000 .........
2020 .........
2030 .........
2040 .........
2080 .........
2120 .........
2160 .........
2180 .........
2190 .........
2200 .........
2240 .........
2281 .........
2290 .........
2320 .........
2330 .........
2335 .........
2340 .........
2360 .........
2400 .........
2440 .........
2520 .........
2560 .........
VerDate jul<14>2003
Wage
index
Urban area (Constituent Counties or County Equivalents)
Scott, IA.
Henry, IL.
Rock Island, IL.
Dayton-Springfield, OH ..........................................................................................................................................................
Clark, OH.
Greene, OH.
Miami, OH.
Montgomery, OH.
Daytona Beach, FL ................................................................................................................................................................
Flagler, FL.
Volusia, FL.
Decatur, AL ............................................................................................................................................................................
Lawrence, AL.
Morgan, AL.
Decatur, IL .............................................................................................................................................................................
Macon, IL.
Denver, CO ............................................................................................................................................................................
Adams, CO.
Arapahoe, CO.
Broomfield, CO.
Denver, CO.
Douglas, CO.
Jefferson, CO.
Des Moines, IA ......................................................................................................................................................................
Dallas, IA.
Polk, IA.
Warren, IA.
Detroit, MI ..............................................................................................................................................................................
Lapeer, MI.
Macomb, MI.
Monroe, MI.
Oakland, MI.
St. Clair, MI.
Wayne, MI.
Dothan, AL .............................................................................................................................................................................
Dale, AL.
Houston, AL.
Dover, DE ..............................................................................................................................................................................
Kent, DE.
Dubuque, IA ...........................................................................................................................................................................
Dubuque, IA.
Duluth-Superior, MN-WI ........................................................................................................................................................
St. Louis, MN.
Douglas, WI.
Dutchess County, NY ............................................................................................................................................................
Dutchess, NY.
Eau Claire, WI .......................................................................................................................................................................
Chippewa, WI.
Eau Claire, WI.
El Paso, TX ............................................................................................................................................................................
El Paso, TX.
Elkhart-Goshen, IN ................................................................................................................................................................
Elkhart, IN.
Elmira, NY ..............................................................................................................................................................................
Chemung, NY.
Enid, OK ................................................................................................................................................................................
Garfield, OK.
Erie, PA ..................................................................................................................................................................................
Erie, PA.
Eugene-Springfield, OR .........................................................................................................................................................
Lane, OR.
Evansville-Henderson, IN-KY ................................................................................................................................................
Posey, IN.
Vanderburgh, IN.
Warrick, IN.
Henderson, KY.
Fargo-Moorhead, ND-MN ......................................................................................................................................................
Clay, MN.
Cass, ND.
Fayetteville, NC .....................................................................................................................................................................
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0.8900
0.8894
0.8122
1.0904
0.9266
1.0227
0.7596
0.9825
0.8748
1.0356
1.1657
0.9139
0.9181
0.9278
0.8445
0.9001
0.8699
1.0940
0.8395
0.9114
0.9363
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
30273
TABLE 1A.—FY 2006 IRF PPS MSA LABOR MARKET AREA DESIGNATIONS FOR URBAN AREAS FOR THE PURPOSES OF
COMPARING WAGE INDEX VALUES WITH TABLE 2A—Continued
MSA
2580 .........
2620 .........
2640 .........
2650 .........
2655 .........
2670 .........
2680 .........
2700 .........
2710 .........
2720 .........
2750 .........
2760 .........
2800 .........
2840 .........
2880 .........
2900 .........
2920 .........
2960 .........
2975 .........
2980 .........
2985 .........
2995 .........
3000 .........
3040 .........
VerDate jul<14>2003
Wage
index
Urban area (Constituent Counties or County Equivalents)
Cumberland, NC.
Fayetteville-Springdale-Rogers, AR ......................................................................................................................................
Benton, AR.
Washington, AR.
Flagstaff, AZ-UT ....................................................................................................................................................................
Coconino, AZ.
Kane, UT.
Flint, MI ..................................................................................................................................................................................
Genesee, MI.
Florence, AL ..........................................................................................................................................................................
Colbert, AL.
Lauderdale, AL.
Florence, SC ..........................................................................................................................................................................
Florence, SC.
Fort Collins-Loveland, CO .....................................................................................................................................................
Larimer, CO.
Ft. Lauderdale, FL .................................................................................................................................................................
Broward, FL.
Fort Myers-Cape Coral, FL ....................................................................................................................................................
Lee, FL.
Fort Pierce-Port St. Lucie, FL ................................................................................................................................................
Martin, FL.
St. Lucie, FL.
Fort Smith, AR-OK .................................................................................................................................................................
Crawford, AR.
Sebastian, AR.
Sequoyah, OK.
Fort Walton Beach, FL ..........................................................................................................................................................
Okaloosa, FL.
Fort Wayne, IN ......................................................................................................................................................................
Adams, IN.
Allen, IN.
De Kalb, IN.
Huntington, IN.
Wells, IN.
Whitley, IN.
Forth Worth-Arlington, TX ......................................................................................................................................................
Hood, TX.
Johnson, TX.
Parker, TX.
Tarrant, TX.
Fresno, CA .............................................................................................................................................................................
Fresno, CA.
Madera, CA.
Gadsden, AL ..........................................................................................................................................................................
Etowah, AL.
Gainesville, FL .......................................................................................................................................................................
Alachua, FL.
Galveston-Texas City, TX ......................................................................................................................................................
Galveston, TX.
Gary, IN .................................................................................................................................................................................
Lake, IN.
Porter, IN.
Glens Falls, NY ......................................................................................................................................................................
Warren, NY.
Washington, NY.
Goldsboro, NC .......................................................................................................................................................................
Wayne, NC.
Grand Forks, ND-MN .............................................................................................................................................................
Polk, MN.
Grand Forks, ND.
Grand Junction, CO ...............................................................................................................................................................
Mesa, CO.
Grand Rapids-Muskegon-Holland, MI ...................................................................................................................................
Allegan, MI.
Kent, MI.
Muskegon, MI.
Ottawa, MI.
Great Falls, MT ......................................................................................................................................................................
Cascade, MT.
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0.7883
0.8960
1.0218
1.0165
0.9371
1.0046
0.8303
0.8786
0.9737
0.9520
1.0407
0.8049
0.9459
0.9403
0.9342
0.8467
0.8778
0.9091
0.9900
0.9519
0.8810
30274
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
TABLE 1A.—FY 2006 IRF PPS MSA LABOR MARKET AREA DESIGNATIONS FOR URBAN AREAS FOR THE PURPOSES OF
COMPARING WAGE INDEX VALUES WITH TABLE 2A—Continued
Wage
index
MSA
Urban area (Constituent Counties or County Equivalents)
3060 .........
Greeley, CO ...........................................................................................................................................................................
Weld, CO.
Green Bay, WI .......................................................................................................................................................................
Brown, WI.
Greensboro-Winston-Salem-High Point, NC .........................................................................................................................
Alamance, NC.
Davidson, NC.
Davie, NC.
Forsyth, NC.
Guilford, NC.
Randolph, NC.
Stokes, NC.
Yadkin, NC.
Greenville, NC .......................................................................................................................................................................
Pitt, NC.
Greenville-Spartanburg-Anderson, SC ..................................................................................................................................
Anderson, SC.
Cherokee, SC.
Greenville, SC.
Pickens, SC.
Spartanburg, SC.
Hagerstown, MD ....................................................................................................................................................................
Washington, MD.
Hamilton-Middletown, OH ......................................................................................................................................................
Butler, OH.
Harrisburg-Lebanon-Carlisle, PA ...........................................................................................................................................
Cumberland, PA.
Dauphin, PA.
Lebanon, PA.
Perry, PA.
Hartford, CT ...........................................................................................................................................................................
Hartford, CT.
Litchfield, CT.
Middlesex, CT.
Tolland, CT.
Hattiesburg, MS .....................................................................................................................................................................
Forrest, MS.
Lamar, MS.
Hickory-Morganton-Lenoir, NC ..............................................................................................................................................
Alexander, NC.
Burke, NC.
Caldwell, NC.
Catawba, NC.
Honolulu, HI ...........................................................................................................................................................................
Honolulu, HI.
Houma, LA .............................................................................................................................................................................
Lafourche, LA.
Terrebonne, LA.
Houston, TX ...........................................................................................................................................................................
Chambers, TX.
Fort Bend, TX.
Harris, TX.
Liberty, TX.
Montgomery, TX.
Waller, TX.
Huntington-Ashland, WV-KY-OH ...........................................................................................................................................
Boyd, KY.
Carter, KY.
Greenup, KY.
Lawrence, OH.
Cabell, WV.
Wayne, WV.
Huntsville, AL .........................................................................................................................................................................
Limestone, AL.
Madison, AL.
Indianapolis, IN ......................................................................................................................................................................
Boone, IN.
Hamilton, IN.
Hancock, IN.
Hendricks, IN.
3080 .........
3120 .........
3150 .........
3160 .........
3180 .........
3200 .........
3240 .........
3283 .........
3285 .........
3290 .........
3320 .........
3350 .........
3360 .........
3400 .........
3440 .........
3480 .........
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0.9586
0.9312
0.9183
0.9400
0.9940
0.9066
0.9286
1.1054
0.7362
0.9502
1.1013
0.7721
1.0117
0.9564
0.8851
1.0039
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
30275
TABLE 1A.—FY 2006 IRF PPS MSA LABOR MARKET AREA DESIGNATIONS FOR URBAN AREAS FOR THE PURPOSES OF
COMPARING WAGE INDEX VALUES WITH TABLE 2A—Continued
MSA
3500 .........
3520 .........
3560 .........
3580 .........
3600 .........
3605 .........
3610 .........
3620 .........
3640 .........
3660 .........
3680 .........
3700 .........
3710 .........
3720 .........
3740 .........
3760 .........
3800 .........
3810 .........
3840 .........
VerDate jul<14>2003
Wage
index
Urban area (Constituent Counties or County Equivalents)
Johnson, IN.
Madison, IN.
Marion, IN.
Morgan, IN.
Shelby, IN.
Iowa City, IA ..........................................................................................................................................................................
Johnson, IA.
Jackson, MI ............................................................................................................................................................................
Jackson, MI.
Jackson, MS ..........................................................................................................................................................................
Hinds, MS.
Madison, MS.
Rankin, MS.
Jackson, TN ...........................................................................................................................................................................
Chester, TN.
Madison, TN.
Jacksonville, FL .....................................................................................................................................................................
Clay, FL.
Duval, FL.
Nassau, FL.
St. Johns, FL.
Jacksonville, NC ....................................................................................................................................................................
Onslow, NC.
Jamestown, NY ......................................................................................................................................................................
Chautaqua, NY.
Janesville-Beloit, WI ..............................................................................................................................................................
Rock, WI.
Jersey City, NJ ......................................................................................................................................................................
Hudson, NJ.
Johnson City-Kingsport-Bristol, TN-VA .................................................................................................................................
Carter, TN.
Hawkins, TN.
Sullivan, TN.
Unicoi, TN.
Washington, TN.
Bristol City, VA.
Scott, VA.
Washington, VA.
Johnstown, PA .......................................................................................................................................................................
Cambria, PA.
Somerset, PA.
Jonesboro, AR .......................................................................................................................................................................
Craighead, AR.
Joplin, MO ..............................................................................................................................................................................
Jasper, MO.
Newton, MO.
Kalamazoo-Battlecreek, MI ....................................................................................................................................................
Calhoun, MI.
Kalamazoo, MI.
Van Buren, MI.
Kankakee, IL ..........................................................................................................................................................................
Kankakee, IL.
Kansas City, KS-MO ..............................................................................................................................................................
Johnson, KS.
Leavenworth, KS.
Miami, KS.
Wyandotte, KS.
Cass, MO.
Clay, MO.
Clinton, MO.
Jackson, MO.
Lafayette, MO.
Platte, MO.
Ray, MO.
Kenosha, WI ..........................................................................................................................................................................
Kenosha, WI.
Killeen-Temple, TX ................................................................................................................................................................
Bell, TX.
Coryell, TX.
Knoxville, TN ..........................................................................................................................................................................
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0.9146
0.8406
0.8900
0.9548
0.8401
0.7589
0.9583
1.0923
0.8202
0.7980
0.8144
0.8721
1.0350
1.0603
0.9641
0.9772
0.9242
0.8508
30276
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
TABLE 1A.—FY 2006 IRF PPS MSA LABOR MARKET AREA DESIGNATIONS FOR URBAN AREAS FOR THE PURPOSES OF
COMPARING WAGE INDEX VALUES WITH TABLE 2A—Continued
MSA
3850 .........
3870 .........
3880 .........
3920 .........
3960 .........
3980 .........
4000 .........
4040 .........
4080 .........
4100 .........
4120 .........
4150 .........
4200 .........
4243 .........
4280 .........
4320 .........
4360 .........
4400 .........
4420 .........
4480 .........
4520 .........
VerDate jul<14>2003
Wage
index
Urban area (Constituent Counties or County Equivalents)
Anderson, TN.
Blount, TN.
Knox, TN.
Loudon, TN.
Sevier, TN.
Union, TN.
Kokomo, IN ............................................................................................................................................................................
Howard, IN.
Tipton, IN.
La Crosse, WI-MN .................................................................................................................................................................
Houston, MN.
La Crosse, WI.
Lafayette, LA ..........................................................................................................................................................................
Acadia, LA.
Lafayette, LA.
St. Landry, LA.
St. Martin, LA.
Lafayette, IN ..........................................................................................................................................................................
Clinton, IN.
Tippecanoe, IN.
Lake Charles, LA ...................................................................................................................................................................
Calcasieu, LA.
Lakeland-Winter Haven, FL ...................................................................................................................................................
Polk, FL.
Lancaster, PA ........................................................................................................................................................................
Lancaster, PA.
Lansing-East Lansing, MI ......................................................................................................................................................
Clinton, MI.
Eaton, MI.
Ingham, MI.
Laredo, TX .............................................................................................................................................................................
Webb, TX.
Las Cruces, NM .....................................................................................................................................................................
Dona Ana, NM.
Las Vegas, NV-AZ .................................................................................................................................................................
Mohave, AZ.
Clark, NV.
Nye, NV.
Lawrence, KS ........................................................................................................................................................................
Douglas, KS.
Lawton, OK ............................................................................................................................................................................
Comanche, OK.
Lewiston-Auburn, ME ............................................................................................................................................................
Androscoggin, ME.
Lexington, KY ........................................................................................................................................................................
Bourbon, KY.
Clark, KY.
Fayette, KY.
Jessamine, KY.
Madison, KY.
Scott, KY.
Woodford, KY.
Lima, OH ................................................................................................................................................................................
Allen, OH.
Auglaize, OH.
Lincoln, NE ............................................................................................................................................................................
Lancaster, NE.
Little Rock-North Little, AR ....................................................................................................................................................
Faulkner, AR.
Lonoke, AR.
Pulaski, AR.
Saline, AR.
Longview-Marshall, TX ..........................................................................................................................................................
Gregg, TX.
Harrison, TX.
Upshur, TX.
Los Angeles-Long Beach, CA ...............................................................................................................................................
Los Angeles, CA.
Louisville, KY-IN ....................................................................................................................................................................
Clark, IN.
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0.9067
0.7972
0.8930
0.9883
0.9658
0.8747
0.8784
1.1121
0.8644
0.8212
0.9562
0.9219
0.9258
1.0208
0.8826
0.8739
1.1732
0.9162
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
30277
TABLE 1A.—FY 2006 IRF PPS MSA LABOR MARKET AREA DESIGNATIONS FOR URBAN AREAS FOR THE PURPOSES OF
COMPARING WAGE INDEX VALUES WITH TABLE 2A—Continued
MSA
4600 .........
4640 .........
4680 .........
4720 .........
4800 .........
4840 .........
4880 .........
4890 .........
4900 .........
4920 .........
4940 .........
5000 .........
5015 .........
5080 .........
5120 .........
VerDate jul<14>2003
Wage
index
Urban area (Constituent Counties or County Equivalents)
Floyd, IN.
Harrison, IN.
Scott, IN.
Bullitt, KY.
Jefferson, KY.
Oldham, KY.
Lubbock, TX ...........................................................................................................................................................................
Lubbock, TX.
Lynchburg, VA .......................................................................................................................................................................
Amherst, VA.
Bedford City, VA.
Bedford, VA.
Campbell, VA.
Lynchburg City, VA.
Macon, GA .............................................................................................................................................................................
Bibb, GA.
Houston, GA.
Jones, GA.
Peach, GA.
Twiggs, GA.
Madison, WI ...........................................................................................................................................................................
Dane, WI.
Mansfield, OH ........................................................................................................................................................................
Crawford, OH.
Richland, OH.
Mayaguez, PR .......................................................................................................................................................................
Anasco, PR.
Cabo Rojo, PR.
Hormigueros, PR.
Mayaguez, PR.
Sabana Grande, PR.
San German, PR.
McAllen-Edinburg-Mission, TX ..............................................................................................................................................
Hidalgo, TX.
Medford-Ashland, OR ............................................................................................................................................................
Jackson, OR.
Melbourne-Titusville-Palm Bay, FL ........................................................................................................................................
Brevard, FL.
Memphis, TN-AR-MS .............................................................................................................................................................
Crittenden, AR.
De Soto, MS.
Fayette, TN.
Shelby, TN.
Tipton, TN.
Merced, CA ............................................................................................................................................................................
Merced, CA.
Miami, FL ...............................................................................................................................................................................
Dade, FL.
Middlesex-Somerset-Hunterdon, NJ ......................................................................................................................................
Hunterdon, NJ.
Middlesex, NJ.
Somerset, NJ.
Milwaukee-Waukesha, WI .....................................................................................................................................................
Milwaukee, WI.
Ozaukee, WI.
Washington, WI.
Waukesha, WI.
Minneapolis-St. Paul, MN-WI ................................................................................................................................................
Anoka, MN.
Carver, MN.
Chisago, MN.
Dakota, MN.
Hennepin, MN.
Isanti, MN.
Ramsey, MN.
Scott, MN.
Sherburne, MN.
Washington, MN.
Wright, MN.
Pierce, WI.
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0.9105
0.4769
0.8602
1.0534
0.9633
0.9234
1.0575
0.9870
1.1360
1.0076
1.1066
30278
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
TABLE 1A.—FY 2006 IRF PPS MSA LABOR MARKET AREA DESIGNATIONS FOR URBAN AREAS FOR THE PURPOSES OF
COMPARING WAGE INDEX VALUES WITH TABLE 2A—Continued
MSA
5140 .........
5160 .........
5170 .........
5190 .........
5200 .........
5240 .........
5280 .........
5330 .........
5345 .........
5360 .........
5380 .........
5483 .........
5523 .........
5560 .........
5600 .........
5640 .........
5660 .........
5720 .........
VerDate jul<14>2003
Wage
index
Urban area (Constituent Counties or County Equivalents)
St. Croix, WI.
Missoula, MT .........................................................................................................................................................................
Missoula, MT.
Mobile, AL ..............................................................................................................................................................................
Baldwin, AL.
Mobile, AL.
Modesto, CA ..........................................................................................................................................................................
Stanislaus, CA.
Monmouth-Ocean, NJ ............................................................................................................................................................
Monmouth, NJ.
Ocean, NJ.
Monroe, LA ............................................................................................................................................................................
Ouachita, LA.
Montgomery, AL ....................................................................................................................................................................
Autauga, AL.
Elmore, AL.
Montgomery, AL.
Muncie, IN ..............................................................................................................................................................................
Delaware, IN.
Myrtle Beach, SC ...................................................................................................................................................................
Horry, SC.
Naples, FL .............................................................................................................................................................................
Collier, FL.
Nashville, TN .........................................................................................................................................................................
Cheatham, TN.
Davidson, TN.
Dickson, TN.
Robertson, TN.
Rutherford, TN.
Sumner, TN.
Williamson, TN.
Wilson, TN.
Nassau-Suffolk, NY ...............................................................................................................................................................
Nassau, NY.
Suffolk, NY.
New Haven-Bridgeport-Stamford-Waterbury-Danbury, CT ...................................................................................................
Fairfield, CT.
New Haven, CT.
New London-Norwich, CT .....................................................................................................................................................
New London, CT.
New Orleans, LA ...................................................................................................................................................................
Jefferson, LA.
Orleans, LA.
Plaquemines, LA.
St. Bernard, LA.
St. Charles, LA.
St. James, LA.
St. John The Baptist, LA.
St. Tammany, LA.
New York, NY ........................................................................................................................................................................
Bronx, NY.
Kings, NY.
New York, NY.
Putnam, NY.
Queens, NY.
Richmond, NY.
Rockland, NY.
Westchester, NY.
Newark, NJ ............................................................................................................................................................................
Essex, NJ.
Morris, NJ.
Sussex, NJ.
Union, NJ.
Warren, NJ.
Newburgh, NY-PA .................................................................................................................................................................
Orange, NY.
Pike, PA.
Norfolk-Virginia Beach-Newport News, VA-NC .....................................................................................................................
Currituck, NC.
Chesapeake City, VA.
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1.0888
0.7913
0.8300
0.8580
0.9022
1.0558
1.0108
1.2907
1.2254
1.1596
0.9103
1.3586
1.1625
1.1170
0.8894
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
30279
TABLE 1A.—FY 2006 IRF PPS MSA LABOR MARKET AREA DESIGNATIONS FOR URBAN AREAS FOR THE PURPOSES OF
COMPARING WAGE INDEX VALUES WITH TABLE 2A—Continued
MSA
5775 .........
5790 .........
5800 .........
5880 .........
5910 .........
5920 .........
5945 .........
5960 .........
5990 .........
6015 .........
6020 .........
6080 .........
6120 .........
6160 .........
6200 .........
VerDate jul<14>2003
Wage
index
Urban area (Constituent Counties or County Equivalents)
Gloucester, VA.
Hampton City, VA.
Isle of Wight, VA.
James City, VA.
Mathews, VA.
Newport News City, VA.
Norfolk City, VA.
Poquoson City,VA.
Portsmouth City, VA.
Suffolk City, VA.
Virginia Beach City, VA.
Williamsburg City, VA.
York, VA.
Oakland, CA ..........................................................................................................................................................................
Alameda, CA.
Contra Costa, CA.
Ocala, FL ...............................................................................................................................................................................
Marion, FL.
Odessa-Midland, TX ..............................................................................................................................................................
Ector, TX.
Midland, TX.
Oklahoma City, OK ................................................................................................................................................................
Canadian, OK.
Cleveland, OK.
Logan, OK.
McClain, OK.
Oklahoma, OK.
Pottawatomie, OK.
Olympia, WA ..........................................................................................................................................................................
Thurston, WA.
Omaha, NE-IA .......................................................................................................................................................................
Pottawattamie, IA.
Cass, NE.
Douglas, NE.
Sarpy, NE.
Washington, NE.
Orange County, CA ...............................................................................................................................................................
Orange, CA.
Orlando, FL ............................................................................................................................................................................
Lake, FL.
Orange, FL.
Osceola, FL.
Seminole, FL.
Owensboro, KY ......................................................................................................................................................................
Daviess, KY.
Panama City, FL ....................................................................................................................................................................
Bay, FL.
Parkersburg-Marietta, WV-OH ...............................................................................................................................................
Washington, OH.
Wood, WV.
Pensacola, FL ........................................................................................................................................................................
Escambia, FL.
Santa Rosa, FL.
Peoria-Pekin, IL .....................................................................................................................................................................
Peoria, IL.
Tazewell, IL.
Woodford, IL.
Philadelphia, PA-NJ ...............................................................................................................................................................
Burlington, NJ.
Camden, NJ.
Gloucester, NJ.
Salem, NJ.
Bucks, PA.
Chester, PA.
Delaware, PA.
Montgomery, PA.
Philadelphia, PA.
Phoenix-Mesa, AZ .................................................................................................................................................................
Maricopa, AZ.
Pinal, AZ.
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0.9632
0.8966
1.1006
0.9754
1.1611
0.9742
0.8434
0.8124
0.8288
0.8306
0.8886
1.0824
0.9982
30280
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
TABLE 1A.—FY 2006 IRF PPS MSA LABOR MARKET AREA DESIGNATIONS FOR URBAN AREAS FOR THE PURPOSES OF
COMPARING WAGE INDEX VALUES WITH TABLE 2A—Continued
Wage
index
MSA
Urban area (Constituent Counties or County Equivalents)
6240 .........
Pine Bluff, AR ........................................................................................................................................................................
Jefferson, AR.
Pittsburgh, PA ........................................................................................................................................................................
Allegheny, PA.
Beaver, PA.
Butler, PA.
Fayette, PA.
Washington, PA.
Westmoreland, PA.
Pittsfield, MA ..........................................................................................................................................................................
Berkshire, MA.
Pocatello, ID ..........................................................................................................................................................................
Bannock, ID.
Ponce, PR ..............................................................................................................................................................................
Guayanilla, PR.
Juana Diaz, PR.
Penuelas, PR.
Ponce, PR.
Villalba, PR.
Yauco, PR.
Portland, ME ..........................................................................................................................................................................
Cumberland, ME.
Sagadahoc, ME.
York, ME.
Portland-Vancouver, OR-WA .................................................................................................................................................
Clackamas, OR.
Columbia, OR.
Multnomah, OR.
Washington, OR.
Yamhill, OR.
Clark, WA.
Providence-Warwick-Pawtucket, RI .......................................................................................................................................
Bristol, RI.
Kent, RI.
Newport, RI.
Providence, RI.
Washington, RI.
Provo-Orem, UT ....................................................................................................................................................................
Utah, UT.
Pueblo, CO ............................................................................................................................................................................
Pueblo, CO.
Punta Gorda, FL ....................................................................................................................................................................
Charlotte, FL.
Racine, WI .............................................................................................................................................................................
Racine, WI.
Raleigh-Durham-Chapel Hill, NC ...........................................................................................................................................
Chatham, NC.
Durham, NC.
Franklin, NC.
Johnston, NC.
Orange, NC.
Wake, NC.
Rapid City, SD .......................................................................................................................................................................
Pennington, SD.
Reading, PA ...........................................................................................................................................................................
Berks, PA.
Redding, CA ..........................................................................................................................................................................
Shasta, CA.
Reno, NV ...............................................................................................................................................................................
Washoe, NV.
Richland-Kennewick-Pasco, WA ...........................................................................................................................................
Benton, WA.
Franklin, WA.
Richmond-Petersburg, VA .....................................................................................................................................................
Charles City County, VA.
Chesterfield, VA.
Colonial Heights City, VA.
Dinwiddie, VA.
Goochland, VA.
Hanover, VA.
6280 .........
6323 .........
6340 .........
6360 .........
6403 .........
6440 .........
6483 .........
6520 .........
6560 .........
6580 .........
6600 .........
6640 .........
6660 .........
6680 .........
6690 .........
6720 .........
6740 .........
6760 .........
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0.8673
0.8756
1.0439
0.9601
0.4954
1.0112
1.1403
1.1061
0.9613
0.8752
0.9441
0.9045
1.0258
0.8912
0.9215
1.1835
1.0456
1.0520
0.9397
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
30281
TABLE 1A.—FY 2006 IRF PPS MSA LABOR MARKET AREA DESIGNATIONS FOR URBAN AREAS FOR THE PURPOSES OF
COMPARING WAGE INDEX VALUES WITH TABLE 2A—Continued
MSA
6780 .........
6800 .........
6820 .........
6840 .........
6880 .........
6895 .........
6920 .........
6960 .........
6980 .........
7000 .........
7040 .........
7080 .........
7120 .........
7160 .........
7200 .........
VerDate jul<14>2003
Wage
index
Urban area (Constituent Counties or County Equivalents)
Henrico, VA.
Hopewell City, VA.
New Kent, VA.
Petersburg City, VA.
Powhatan, VA.
Prince George, VA.
Richmond City, VA.
Riverside-San Bernardino, CA ..............................................................................................................................................
Riverside, CA.
San Bernardino, CA.
Roanoke, VA ..........................................................................................................................................................................
Botetourt, VA.
Roanoke, VA.
Roanoke City, VA.
Salem City, VA.
Rochester, MN .......................................................................................................................................................................
Olmsted, MN.
Rochester, NY .......................................................................................................................................................................
Genesee, NY.
Livingston, NY.
Monroe, NY.
Ontario, NY.
Orleans, NY.
Wayne, NY.
Rockford, IL ...........................................................................................................................................................................
Boone, IL.
Ogle, IL.
Winnebago, IL.
Rocky Mount, NC ..................................................................................................................................................................
Edgecombe, NC.
Nash, NC.
Sacramento, CA ....................................................................................................................................................................
El Dorado, CA.
Placer, CA.
Sacramento, CA.
Saginaw-Bay City-Midland, MI ..............................................................................................................................................
Bay, MI.
Midland, MI.
Saginaw, MI.
St. Cloud, MN ........................................................................................................................................................................
Benton, MN.
Stearns, MN.
St. Joseph, MO ......................................................................................................................................................................
Andrews, MO.
Buchanan, MO.
St. Louis, MO-IL .....................................................................................................................................................................
Clinton, IL.
Jersey, IL.
Madison, IL.
Monroe, IL.
St. Clair, IL.
Franklin, MO.
Jefferson, MO.
Lincoln, MO.
St. Charles, MO.
St. Louis, MO.
St. Louis City, MO.
Warren, MO.
Sullivan City, MO.
Salem, OR .............................................................................................................................................................................
Marion, OR.
Polk, OR.
Salinas, CA ............................................................................................................................................................................
Monterey, CA.
Salt Lake City-Ogden, UT .....................................................................................................................................................
Davis, UT.
Salt Lake, UT.
Weber, UT.
San Angelo, TX .....................................................................................................................................................................
Tom Green, TX.
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1.1504
0.9196
0.9626
0.8998
1.1848
0.9696
1.0215
1.0013
0.9081
1.0556
1.3823
0.9487
0.8167
30282
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
TABLE 1A.—FY 2006 IRF PPS MSA LABOR MARKET AREA DESIGNATIONS FOR URBAN AREAS FOR THE PURPOSES OF
COMPARING WAGE INDEX VALUES WITH TABLE 2A—Continued
Wage
index
MSA
Urban area (Constituent Counties or County Equivalents)
7240 .........
San Antonio, TX ....................................................................................................................................................................
Bexar, TX.
Comal, TX.
Guadalupe, TX.
Wilson, TX.
San Diego, CA .......................................................................................................................................................................
San Diego, CA.
San Francisco, CA .................................................................................................................................................................
Marin, CA.
San Francisco, CA.
San Mateo, CA.
San Jose, CA .........................................................................................................................................................................
Santa Clara, CA.
San Juan-Bayamon, PR ........................................................................................................................................................
Aguas Buenas, PR.
Barceloneta, PR.
Bayamon, PR.
Canovanas, PR.
Carolina, PR.
Catano, PR.
Ceiba, PR.
Comerio, PR.
Corozal, PR.
Dorado, PR.
Fajardo, PR.
Florida, PR.
Guaynabo, PR.
Humacao, PR.
Juncos, PR.
Los Piedras, PR.
Loiza, PR.
Luguillo, PR.
Manati, PR.
Morovis, PR.
Naguabo, PR.
Naranjito, PR.
Rio Grande, PR.
San Juan, PR.
Toa Alta, PR.
Toa Baja, PR.
Trujillo Alto, PR.
Vega Alta, PR.
Vega Baja, PR.
Yabucoa, PR.
San Luis Obispo-Atascadero-Paso Robles, CA ....................................................................................................................
San Luis Obispo, CA.
Santa Barbara-Santa Maria-Lompoc, CA ..............................................................................................................................
Santa Barbara, CA.
Santa Cruz-Watsonville, CA ..................................................................................................................................................
Santa Cruz, CA.
Santa Fe, NM ........................................................................................................................................................................
Los Alamos, NM.
Santa Fe, NM.
Santa Rosa, CA .....................................................................................................................................................................
Sonoma, CA.
Sarasota-Bradenton, FL ........................................................................................................................................................
Manatee, FL.
Sarasota, FL.
Savannah, GA .......................................................................................................................................................................
Bryan, GA.
Chatham, GA.
Effingham, GA.
Scranton—Wilkes-Barre—Hazleton, PA ................................................................................................................................
Columbia, PA.
Lackawanna, PA.
Luzerne, PA.
Wyoming, PA.
Seattle-Bellevue-Everett, WA ................................................................................................................................................
Island, WA.
King, WA.
7320 .........
7360 .........
7400 .........
7440 .........
7460 .........
7480 .........
7485 .........
7490 .........
7500 .........
7510 .........
7520 .........
7560 .........
7600 .........
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0.9023
1.1267
1.4712
1.4744
0.4802
1.1118
1.0771
1.4779
1.0590
1.2961
0.9629
0.9460
0.8522
1.1479
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
30283
TABLE 1A.—FY 2006 IRF PPS MSA LABOR MARKET AREA DESIGNATIONS FOR URBAN AREAS FOR THE PURPOSES OF
COMPARING WAGE INDEX VALUES WITH TABLE 2A—Continued
MSA
7610 .........
7620 .........
7640 .........
7680 .........
7720 .........
7760 .........
7800 .........
7840 .........
7880 .........
7920 .........
8003 .........
8050 .........
8080 .........
8120 .........
8140 .........
8160 .........
8200 .........
8240 .........
8280 .........
8320 .........
8360 .........
8400 .........
8440 .........
8480 .........
VerDate jul<14>2003
Wage
index
Urban area (Constituent Counties or County Equivalents)
Snohomish, WA.
Sharon, PA ............................................................................................................................................................................
Mercer, PA.
Sheboygan, WI ......................................................................................................................................................................
Sheboygan, WI.
Sherman-Denison, TX ...........................................................................................................................................................
Grayson, TX.
Shreveport-Bossier City, LA ..................................................................................................................................................
Bossier, LA.
Caddo, LA.
Webster, LA.
Sioux City, IA-NE ...................................................................................................................................................................
Woodbury, IA.
Dakota, NE.
Sioux Falls, SD ......................................................................................................................................................................
Lincoln, SD.
Minnehaha, SD.
South Bend, IN ......................................................................................................................................................................
St. Joseph, IN.
Spokane, WA .........................................................................................................................................................................
Spokane, WA.
Springfield, IL .........................................................................................................................................................................
Menard, IL.
Sangamon, IL.
Springfield, MO ......................................................................................................................................................................
Christian, MO.
Greene, MO.
Webster, MO.
Springfield, MA ......................................................................................................................................................................
Hampden, MA.
Hampshire, MA.
State College, PA ..................................................................................................................................................................
Centre, PA.
Steubenville-Weirton, OH-WV ...............................................................................................................................................
Jefferson, OH.
Brooke, WV.
Hancock, WV.
Stockton-Lodi, CA ..................................................................................................................................................................
San Joaquin, CA.
Sumter, SC ............................................................................................................................................................................
Sumter, SC.
Syracuse, NY .........................................................................................................................................................................
Cayuga, NY.
Madison, NY.
Onondaga, NY.
Oswego, NY.
Tacoma, WA ..........................................................................................................................................................................
Pierce, WA.
Tallahassee, FL .....................................................................................................................................................................
Gadsden, FL.
Leon, FL.
Tampa-St. Petersburg-Clearwater, FL ..................................................................................................................................
Hernando, FL.
Hillsborough, FL.
Pasco, FL.
Pinellas, FL.
Terre Haute, IN ......................................................................................................................................................................
Clay, IN.
Vermillion, IN.
Vigo, IN.
Texarkana, AR-Texarkana, TX ..............................................................................................................................................
Miller, AR.
Bowie, TX.
Toledo, OH ............................................................................................................................................................................
Fulton, OH.
Lucas, OH.
Wood, OH.
Topeka, KS ............................................................................................................................................................................
Shawnee, KS.
Trenton, NJ ............................................................................................................................................................................
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0.7881
0.8948
0.9617
0.9111
0.9094
0.9441
0.9447
1.0660
0.8738
0.8597
1.0173
0.8461
0.8280
1.0564
0.8520
0.9394
1.1078
0.8655
0.9024
0.8582
0.8413
0.9524
0.8904
1.0276
30284
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
TABLE 1A.—FY 2006 IRF PPS MSA LABOR MARKET AREA DESIGNATIONS FOR URBAN AREAS FOR THE PURPOSES OF
COMPARING WAGE INDEX VALUES WITH TABLE 2A—Continued
MSA
8520 .........
8560 .........
8600 .........
8640 .........
8680 .........
8720 .........
8735 .........
8750 .........
8760 .........
8780 .........
8800 .........
8840 .........
8920 .........
8940 .........
8960 .........
9000 .........
9040 .........
9080 .........
VerDate jul<14>2003
Wage
index
Urban area (Constituent Counties or County Equivalents)
Mercer, NJ.
Tucson, AZ ............................................................................................................................................................................
Pima, AZ.
Tulsa, OK ...............................................................................................................................................................................
Creek, OK.
Osage, OK.
Rogers, OK.
Tulsa, OK.
Wagoner, OK.
Tuscaloosa, AL ......................................................................................................................................................................
Tuscaloosa, AL.
Tyler, TX ................................................................................................................................................................................
Smith, TX.
Utica-Rome, NY .....................................................................................................................................................................
Herkimer, NY.
Oneida, NY.
Vallejo-Fairfield-Napa, CA .....................................................................................................................................................
Napa, CA.
Solano, CA.
Ventura, CA ...........................................................................................................................................................................
Ventura, CA.
Victoria, TX ............................................................................................................................................................................
Victoria, TX.
Vineland-Millville-Bridgeton, NJ .............................................................................................................................................
Cumberland, NJ.
Visalia-Tulare-Porterville, CA .................................................................................................................................................
Tulare, CA.
Waco, TX ...............................................................................................................................................................................
McLennan, TX.
Washington, DC-MD-VA-WV .................................................................................................................................................
District of Columbia, DC.
Calvert, MD.
Charles, MD.
Frederick, MD.
Montgomery, MD.
Prince Georges, MD.
Alexandria City, VA.
Arlington, VA.
Clarke, VA.
Culpepper, VA.
Fairfax, VA.
Fairfax City, VA.
Falls Church City, VA.
Fauquier, VA.
Fredericksburg City, VA.
King George, VA.
Loudoun, VA.
Manassas City, VA.
Manassas Park City, VA.
Prince William, VA.
Spotsylvania, VA.
Stafford, VA.
Warren, VA.
Berkeley, WV.
Jefferson, WV.
Waterloo-Cedar Falls, IA .......................................................................................................................................................
Black Hawk, IA.
Wausau, WI ...........................................................................................................................................................................
Marathon, WI.
West Palm Beach-Boca Raton, FL .......................................................................................................................................
Palm Beach, FL.
Wheeling, OH-WV .................................................................................................................................................................
Belmont, OH.
Marshall, WV.
Ohio, WV.
Wichita, KS ............................................................................................................................................................................
Butler, KS.
Harvey, KS.
Sedgwick, KS.
Wichita Falls, TX ....................................................................................................................................................................
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0.8926
0.8729
0.8440
0.9502
0.8295
1.3517
1.1105
0.8469
1.0573
0.9975
0.8146
1.0971
0.8633
0.9570
1.0362
0.7449
0.9486
0.8395
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
30285
TABLE 1A.—FY 2006 IRF PPS MSA LABOR MARKET AREA DESIGNATIONS FOR URBAN AREAS FOR THE PURPOSES OF
COMPARING WAGE INDEX VALUES WITH TABLE 2A—Continued
MSA
Wage
index
Urban area (Constituent Counties or County Equivalents)
9140 .........
9160 .........
9200 .........
9260 .........
9270 .........
9280 .........
9320 .........
9340 .........
9360 .........
Archer, TX.
Wichita, TX.
Williamsport, PA ....................................................................................................................................................................
Lycoming, PA.
Wilmington-Newark, DE-MD ..................................................................................................................................................
New Castle, DE.
Cecil, MD.
Wilmington, NC ......................................................................................................................................................................
New Hanover, NC.
Brunswick, NC.
Yakima, WA ...........................................................................................................................................................................
Yakima, WA.
Yolo, CA .................................................................................................................................................................................
Yolo, CA.
York, PA .................................................................................................................................................................................
York, PA.
Youngstown-Warren, OH .......................................................................................................................................................
Columbiana, OH.
Mahoning, OH.
Trumbull, OH.
Yuba City, CA ........................................................................................................................................................................
Sutter, CA.
Yuba, CA.
Yuma, AZ ...............................................................................................................................................................................
Yuma, AZ.
0.8485
1.1121
0.9237
1.0322
0.9378
0.9150
0.9517
1.0363
0.8871
TABLE 1B.—FY 2006 IRF PPS MSA TABLE 1B.—FY 2006 IRF PPS MSA TABLE 1B.—FY 2006 IRF PPS MSA
LABOR MARKET AREA DESIGNALABOR MARKET AREA DESIGNALABOR MARKET AREA DESIGNATIONS FOR RURAL AREAS FOR THE
TIONS FOR RURAL AREAS FOR THE
TIONS FOR RURAL AREAS FOR THE
PURPOSES OF COMPARING WAGE
PURPOSES OF COMPARING WAGE
PURPOSES OF COMPARING WAGE
INDEX VALUES WITH TABLE 2B
INDEX VALUES WITH TABLE 2B—
INDEX VALUES WITH TABLE 2B—
Continued
Continued
Wage
Index
Nonurban area
Alabama ........................................
Alaska ...........................................
Arizona ..........................................
Arkansas .......................................
California .......................................
Colorado .......................................
Connecticut ...................................
Delaware .......................................
Florida ...........................................
Georgia .........................................
Guam ............................................
Hawaii ...........................................
Idaho .............................................
Illinois ............................................
Indiana ..........................................
Iowa ..............................................
Kansas ..........................................
Kentucky .......................................
Louisiana ......................................
Maine ............................................
0.7637
1.1637
0.9140
0.7703
1.0297
0.9368
1.1917
0.9503
0.8721
0.8247
0.9611
1.0522
0.8826
0.8340
0.8736
0.8550
0.8087
0.7844
0.7290
0.9039
Nonurban area
Wage
Index
Nonurban area
Wage
Index
Maryland .......................................
Massachusetts ..............................
Michigan .......................................
Minnesota .....................................
Mississippi ....................................
Missouri ........................................
Montana ........................................
Nebraska ......................................
Nevada .........................................
New Hampshire ............................
New Jersey 1 .................................
New Mexico ..................................
New York ......................................
North Carolina ..............................
North Dakota ................................
Ohio ..............................................
Oklahoma .....................................
Oregon ..........................................
0.9179
1.0216
0.8740
0.9339
0.7583
0.7829
0.8701
0.9035
0.9832
0.9940
................
0.8529
0.8403
0.8500
0.7743
0.8759
0.7537
1.0049
Pennsylvania ................................
Puerto Rico ...................................
Rhode Island 1 ..............................
South Carolina ..............................
South Dakota ................................
Tennessee ....................................
Texas ............................................
Utah ..............................................
Vermont ........................................
Virginia ..........................................
Virgin Islands ................................
Washington ...................................
West Virginia ................................
Wisconsin .....................................
Wyoming .......................................
0.8348
0.4047
................
0.8640
0.8393
0.7876
0.7910
0.8843
0.9375
0.8479
0.7456
1.0072
0.8083
0.9498
0.9182
1 All counties within the State are classified
urban.
TABLE 2A.—PROPOSED INPATIENT REHABILITAION FACILITY WAGE INDEX FOR URBAN AREAS BASED ON PROPOSED CBSA
LABOR MARKET AREAS FOR DISCHARGES OCCURRING ON OR AFTER OCTOBER 1, 2005
CBSA
code
Urban area
(Constituent counties)
10180 .......
Abilene, TX ............................................................................................................................................................................
Callahan County, TX.
Jones County, TX.
Taylor County, TX.
´
Aguadilla-Isabela-San Sebastian, PR ...................................................................................................................................
Aguada Municipio, PR.
10380 .......
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Full wage
Index
25MYP2
0.7850
0.4280
30286
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
TABLE 2A.—PROPOSED INPATIENT REHABILITAION FACILITY WAGE INDEX FOR URBAN AREAS BASED ON PROPOSED CBSA
LABOR MARKET AREAS FOR DISCHARGES OCCURRING ON OR AFTER OCTOBER 1, 2005—Continued
CBSA
code
10420 .......
10500 .......
10580 .......
10740 .......
10780 .......
10900 .......
11020 .......
11100 .......
11180 .......
11260 .......
11300 .......
11340 .......
11460 .......
11500 .......
11540 .......
11700 .......
12020 .......
12060 .......
VerDate jul<14>2003
Urban area
(Constituent counties)
Full wage
Index
Aguadilla Municipio, PR.
Aasco Municipio, PR.
Isabela Municipio, PR.
Lares Municipio, PR.
Moca Municipio, PR.
´
Rincın Municipio, PR.
´
San Sebastian Municipio, PR.
Akron, OH ..............................................................................................................................................................................
Portage County, OH.
Summit County, OH.
Albany, GA .............................................................................................................................................................................
Baker County, GA.
Dougherty County, GA.
Lee County, GA.
Terrell County, GA.
Worth County, GA.
Albany-Schenectady-Troy, NY ..............................................................................................................................................
Albany County, NY.
Rensselaer County, NY.
Saratoga County, NY.
Schenectady County, NY.
Schoharie County, NY.
Albuquerque, NM ...................................................................................................................................................................
Bernalillo County, NM.
Sandoval County, NM.
Torrance County, NM.
Valencia County, NM.
Alexandria, LA .......................................................................................................................................................................
Grant Parish, LA.
Rapides Parish, LA.
Allentown-Bethlehem-Easton, PA-NJ ....................................................................................................................................
Warren County, NJ.
Carbon County, PA.
Lehigh County, PA.
Northampton County, PA.
Altoona, PA ............................................................................................................................................................................
Blair County, PA.
Amarillo, TX ...........................................................................................................................................................................
Armstrong County, TX.
Carson County, TX.
Potter County, TX.
Randall County, TX.
Ames, IA ................................................................................................................................................................................
Story County, IA.
Anchorage, AK .......................................................................................................................................................................
Anchorage Municipality, AK.
Matanuska-Susitna Borough, AK.
Anderson, IN ..........................................................................................................................................................................
Madison County, IN.
Anderson, SC ........................................................................................................................................................................
Anderson County, SC.
Ann Arbor, MI ........................................................................................................................................................................
Washtenaw County, MI.
Anniston-Oxford, AL ..............................................................................................................................................................
Calhoun County, AL.
Appleton, WI ..........................................................................................................................................................................
Calumet County, WI.
Outagamie County, WI.
Asheville, NC .........................................................................................................................................................................
Buncombe County, NC.
Haywood County, NC.
Henderson County, NC.
Madison County, NC.
Athens-Clarke County, GA ....................................................................................................................................................
Clarke County, GA.
Madison County, GA.
Oconee County, GA.
Oglethorpe County, GA.
Atlanta-Sandy Springs-Marietta, GA .....................................................................................................................................
Barrow County, GA.
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0.9055
1.1266
0.8650
1.0485
0.8171
0.9501
0.8462
0.9178
0.9479
1.2165
0.8713
0.8670
1.1022
0.7881
0.9131
0.9191
1.0202
0.9971
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
30287
TABLE 2A.—PROPOSED INPATIENT REHABILITAION FACILITY WAGE INDEX FOR URBAN AREAS BASED ON PROPOSED CBSA
LABOR MARKET AREAS FOR DISCHARGES OCCURRING ON OR AFTER OCTOBER 1, 2005—Continued
CBSA
code
12100 .......
12220 .......
12260 .......
12420 .......
12540 .......
12580 .......
12620 .......
12700 .......
12940 .......
12980 .......
VerDate jul<14>2003
Urban area
(Constituent counties)
Full wage
Index
Bartow County, GA.
Butts County, GA.
Carroll County, GA.
Cherokee County, GA.
Clayton County, GA.
Cobb County, GA.
Coweta County, GA.
Dawson County, GA.
DeKalb County, GA.
Douglas County, GA.
Fayette County, GA.
Forsyth County, GA.
Fulton County, GA.
Gwinnett County, GA.
Haralson County, GA.
Heard County, GA.
Henry County, GA.
Jasper County, GA.
Lamar County, GA.
Meriwether County, GA.
Newton County, GA.
Paulding County, GA.
Pickens County, GA.
Pike County, GA.
Rockdale County, GA.
Spalding County, GA.
Walton County, GA.
Atlantic City, NJ .....................................................................................................................................................................
Atlantic County, NJ.
Auburn-Opelika, AL ...............................................................................................................................................................
Lee County, AL.
Augusta-Richmond County, GA-SC ......................................................................................................................................
Burke County, GA.
Columbia County, GA.
McDuffie County, GA.
Richmond County, GA.
Aiken County, SC.
Edgefield County, SC.
Austin-Round Rock, TX .........................................................................................................................................................
Bastrop County, TX.
Caldwell County, TX.
Hays County, TX.
Travis County, TX.
Williamson County, TX.
Bakersfield, CA ......................................................................................................................................................................
Kern County, CA.
Baltimore-Towson, MD ..........................................................................................................................................................
Anne Arundel County, MD.
Baltimore County, MD.
Carroll County, MD.
Harford County, MD.
Howard County, MD.
Queen Anne’s County, MD.
Baltimore City, MD.
Bangor, ME ............................................................................................................................................................................
Penobscot County, ME.
Barnstable Town, MA ............................................................................................................................................................
Barnstable County, MA.
Baton Rouge, LA ...................................................................................................................................................................
Ascension Parish, LA.
East Baton Rouge Parish, LA.
East Feliciana Parish, LA.
Iberville Parish, LA.
Livingston Parish, LA.
Pointe Coupee Parish, LA.
St. Helena Parish, LA.
West Baton Rouge Parish, LA.
West Feliciana Parish, LA.
Battle Creek, MI .....................................................................................................................................................................
Calhoun County, MI.
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0.9907
0.9955
1.2335
0.8319
0.9366
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Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
TABLE 2A.—PROPOSED INPATIENT REHABILITAION FACILITY WAGE INDEX FOR URBAN AREAS BASED ON PROPOSED CBSA
LABOR MARKET AREAS FOR DISCHARGES OCCURRING ON OR AFTER OCTOBER 1, 2005—Continued
CBSA
code
Urban area
(Constituent counties)
13020 .......
Bay City, MI ...........................................................................................................................................................................
Bay County, MI.
Beaumont-Port Arthur, TX .....................................................................................................................................................
Hardin County, TX.
Jefferson County, TX.
Orange County, TX.
Bellingham, WA .....................................................................................................................................................................
Whatcom County, WA.
Bend, OR ...............................................................................................................................................................................
Deschutes County, OR.
Bethesda-Frederick-Gaithersburg, MD ..................................................................................................................................
Frederick County, MD.
Montgomery County, MD.
Billings, MT ............................................................................................................................................................................
Carbon County, MT.
Yellowstone County, MT.
Binghamton, NY .....................................................................................................................................................................
Broome County, NY.
Tioga County, NY.
Birmingham-Hoover, AL ........................................................................................................................................................
Bibb County, AL.
Blount County, AL.
Chilton County, AL.
Jefferson County, AL.
St. Clair County, AL.
Shelby County, AL.
Walker County, AL.
Bismarck, ND .........................................................................................................................................................................
Burleigh County, ND.
Morton County, ND.
Blacksburg-Christiansburg-Radford, VA ................................................................................................................................
Giles County, VA.
Montgomery County, VA.
Pulaski County, VA.
Radford City, VA.
Bloomington, IN .....................................................................................................................................................................
Greene County, IN.
Monroe County, IN.
Owen County, IN.
Bloomington-Normal, IL .........................................................................................................................................................
McLean County, IL.
Boise City-Nampa, ID ............................................................................................................................................................
Ada County, ID.
Boise County, ID.
Canyon County, ID.
Gem County, ID.
Owyhee County, ID.
Boston-Quincy, MA ................................................................................................................................................................
Norfolk County, MA.
Plymouth County, MA.
Suffolk County, MA.
Boulder, CO ...........................................................................................................................................................................
Boulder County, CO.
Bowling Green, KY ................................................................................................................................................................
Edmonson County, KY.
Warren County, KY.
Bremerton-Silverdale, WA .....................................................................................................................................................
Kitsap County, WA.
Bridgeport-Stamford-Norwalk, CT .........................................................................................................................................
Fairfield County, CT.
Brownsville-Harlingen, TX .....................................................................................................................................................
Cameron County, TX.
Brunswick, GA .......................................................................................................................................................................
Brantley County, GA.
Glynn County, GA.
McIntosh County, GA.
Buffalo-Niagara Falls, NY ......................................................................................................................................................
Erie County, NY.
Niagara County, NY.
Burlington, NC .......................................................................................................................................................................
13140 .......
13380 .......
13460 .......
13644 .......
13740 .......
13780 .......
13820 .......
13900 .......
13980 .......
14020 .......
14060 .......
14260 .......
14484 .......
14500 .......
14540 .......
14740 .......
14860 .......
15180 .......
15260 .......
15380 .......
15500 .......
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25MYP2
0.9574
0.8616
1.1642
1.0603
1.0956
0.8961
0.8447
0.9157
0.7505
0.7951
0.8587
0.9111
0.9352
1.1771
1.0046
0.8140
1.0614
1.2835
1.0125
1.1933
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TABLE 2A.—PROPOSED INPATIENT REHABILITAION FACILITY WAGE INDEX FOR URBAN AREAS BASED ON PROPOSED CBSA
LABOR MARKET AREAS FOR DISCHARGES OCCURRING ON OR AFTER OCTOBER 1, 2005—Continued
CBSA
code
15540 .......
15764 .......
15804 .......
15940 .......
15980 .......
16180 .......
16220 .......
16300 .......
16580 .......
16620 .......
16700 .......
16740 .......
16820 .......
16860 .......
16940 .......
16974 .......
17020 .......
VerDate jul<14>2003
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(Constituent counties)
Full wage
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Alamance County, NC.
Burlington-South Burlington, VT ............................................................................................................................................
Chittenden County, VT.
Franklin County, VT.
Grand Isle County, VT.
Cambridge-Newton-Framingham, MA ...................................................................................................................................
Middlesex County, MA.
Camden, NJ ...........................................................................................................................................................................
Burlington County, NJ.
Camden County, NJ.
Gloucester County, NJ.
Canton-Massillon, OH ............................................................................................................................................................
Carroll County, OH.
Stark County, OH.
Cape Coral-Fort Myers, FL ....................................................................................................................................................
Lee County, FL.
Carson City, NV .....................................................................................................................................................................
Carson City, NV.
Casper, WY ...........................................................................................................................................................................
Natrona County, WY.
Cedar Rapids, IA ...................................................................................................................................................................
Benton County, IA.
Jones County, IA.
Linn County, IA.
Champaign-Urbana, IL ..........................................................................................................................................................
Champaign County, IL.
Ford County, IL.
Piatt County, IL.
Charleston, WV ......................................................................................................................................................................
Boone County, WV.
Clay County, WV.
Kanawha County, WV.
Lincoln County, WV.
Putnam County, WV.
Charleston-North Charleston, SC ..........................................................................................................................................
Berkeley County, SC.
Charleston County, SC.
Dorchester County, SC.
Charlotte-Gastonia-Concord, NC-SC ....................................................................................................................................
Anson County, NC.
Cabarrus County, NC.
Gaston County, NC.
Mecklenburg County, NC.
Union County, NC.
York County, SC.
Charlottesville, VA .................................................................................................................................................................
Albemarle County, VA.
Fluvanna County, VA.
Greene County, VA.
Nelson County, VA.
Charlottesville City, VA.
Chattanooga, TN-GA .............................................................................................................................................................
Catoosa County, GA.
Dade County, GA.
Walker County, GA.
Hamilton County, TN.
Marion County, TN.
Sequatchie County, TN.
Cheyenne, WY .......................................................................................................................................................................
Laramie County, WY.
Chicago-Naperville-Joliet, IL ..................................................................................................................................................
Cook County, IL.
DeKalb County, IL.
DuPage County, IL.
Grundy County, IL.
Kane County, IL.
Kendall County, IL.
McHenry County, IL.
Will County, IL.
Chico, CA ...............................................................................................................................................................................
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0.9371
1.0352
0.9243
0.8975
0.9527
0.8876
0.9420
0.9743
1.0294
0.9207
0.8980
1.0868
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Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
TABLE 2A.—PROPOSED INPATIENT REHABILITAION FACILITY WAGE INDEX FOR URBAN AREAS BASED ON PROPOSED CBSA
LABOR MARKET AREAS FOR DISCHARGES OCCURRING ON OR AFTER OCTOBER 1, 2005—Continued
CBSA
code
17140 .......
17300 .......
17420 .......
17460 .......
17660 .......
17780 .......
17820 .......
17860 .......
17900 .......
17980 .......
18020 .......
18140 .......
18580 .......
VerDate jul<14>2003
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(Constituent counties)
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Butte County, CA.
Cincinnati-Middletown, OH-KY-IN .........................................................................................................................................
Dearborn County, IN.
Franklin County, IN.
Ohio County, IN.
Boone County, KY.
Bracken County, KY.
Campbell County, KY.
Gallatin County, KY.
Grant County, KY.
Kenton County, KY.
Pendleton County, KY.
Brown County, OH.
Butler County, OH.
Clermont County, OH.
Hamilton County, OH.
Warren County, OH.
Clarksville, TN-KY ..................................................................................................................................................................
Christian County, KY.
Trigg County, KY.
Montgomery County, TN.
Stewart County, TN.
Cleveland, TN ........................................................................................................................................................................
Bradley County, TN.
Polk County, TN.
Cleveland-Elyria-Mentor, OH .................................................................................................................................................
Cuyahoga County, OH.
Geauga County, OH.
Lake County, OH.
Lorain County, OH.
Medina County, OH.
Coeur d’Alene, ID ..................................................................................................................................................................
Kootenai County, ID.
College Station-Bryan, TX .....................................................................................................................................................
Brazos County, TX.
Burleson County, TX.
Robertson County, TX.
Colorado Springs, CO ...........................................................................................................................................................
El Paso County, CO.
Teller County, CO.
Columbia, M ...........................................................................................................................................................................
Boone County, MO.
Howard County, MO.
Columbia, SC .........................................................................................................................................................................
Calhoun County, SC.
Fairfield County, SC.
Kershaw County, SC.
Lexington County, SC.
Richland County, SC.
Saluda County, SC.
Columbus, GA-AL ..................................................................................................................................................................
Russell County, AL.
Chattahoochee County, GA.
Harris County, GA.
Marion County, GA.
Muscogee County, GA.
Columbus, IN .........................................................................................................................................................................
Bartholomew County, IN.
Columbus, OH .......................................................................................................................................................................
Delaware County, OH.
Fairfield County, OH.
Franklin County, OH.
Licking County, OH.
Madison County, OH.
Morrow County, OH.
Pickaway County, OH.
Union County, OH.
Corpus Christi, TX .................................................................................................................................................................
Aransas County, TX.
Nueces County, TX.
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0.9243
0.9792
0.8396
0.9392
0.8690
0.9388
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TABLE 2A.—PROPOSED INPATIENT REHABILITAION FACILITY WAGE INDEX FOR URBAN AREAS BASED ON PROPOSED CBSA
LABOR MARKET AREAS FOR DISCHARGES OCCURRING ON OR AFTER OCTOBER 1, 2005—Continued
CBSA
code
18700 .......
19060 .......
19124 .......
19140 .......
19180 .......
19260 .......
19340 .......
19380 .......
19460 .......
19500 .......
19660 .......
19740 .......
19780 .......
19804 .......
20020 .......
20100 .......
20220 .......
20260 .......
VerDate jul<14>2003
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San Patricio County, TX.
Corvallis, OR ..........................................................................................................................................................................
Benton County, OR.
Cumberland, MD-WV .............................................................................................................................................................
Allegany County, MD.
Mineral County, WV.
Dallas-Plano-Irving, TX ..........................................................................................................................................................
Collin County, TX.
Dallas County, TX.
Delta County, TX.
Denton County, TX.
Ellis County, TX.
Hunt County, TX.
Kaufman County, TX.
Rockwall County, TX.
Dalton, GA .............................................................................................................................................................................
Murray County, GA.
Whitfield County, GA.
Danville, IL .............................................................................................................................................................................
Vermilion County, IL.
Danville, VA ...........................................................................................................................................................................
Pittsylvania County, VA.
Danville City, VA.
Davenport-Moline-Rock Island, IA-IL .....................................................................................................................................
Henry County, IL.
Mercer County, IL.
Rock Island County, IL.
Scott County, IA.
Dayton, OH ............................................................................................................................................................................
Greene County, OH.
Miami County, OH.
Montgomery County, OH.
Preble County, OH.
Decatur, AL ............................................................................................................................................................................
Lawrence County, AL.
Morgan County, AL.
Decatur, IL .............................................................................................................................................................................
Macon County, IL.
Deltona-Daytona Beach-Ormond Beach, FL .........................................................................................................................
Volusia County, FL.
Denver-Aurora, CO ................................................................................................................................................................
Adams County, CO.
Arapahoe County, CO.
Broomfield County, CO.
Clear Creek County, CO.
Denver County, CO.
Douglas County, CO.
Elbert County, CO.
Gilpin County, CO.
Jefferson County, CO.
Park County, CO.
Des Moines, IA ......................................................................................................................................................................
Dallas County, IA.
Guthrie County, IA.
Madison County, IA.
Polk County, IA.
Warren County, IA.
Detroit-Livonia-Dearborn, MI .................................................................................................................................................
Wayne County, MI.
Dothan, AL .............................................................................................................................................................................
Geneva County, AL.
Henry County, AL.
Houston County, AL.
Dover, DE ..............................................................................................................................................................................
Kent County, DE.
Dubuque, IA ...........................................................................................................................................................................
Dubuque County, IA.
Duluth, MN-WI .......................................................................................................................................................................
Carlton County, MN.
St. Louis County, MN.
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0.8643
0.8773
0.9303
0.8894
0.8122
0.8898
1.0904
0.9266
1.0349
0.7537
0.9825
0.8748
1.0340
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Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
TABLE 2A.—PROPOSED INPATIENT REHABILITAION FACILITY WAGE INDEX FOR URBAN AREAS BASED ON PROPOSED CBSA
LABOR MARKET AREAS FOR DISCHARGES OCCURRING ON OR AFTER OCTOBER 1, 2005—Continued
CBSA
code
20500 .......
20740 .......
20764 .......
20940 .......
21060 .......
21140 .......
21300 .......
21340 .......
21500 .......
21604 .......
21660 .......
21780 .......
21820 .......
21940 .......
22020 .......
22140 .......
22180 .......
22220 .......
22380 .......
22420 .......
22500 .......
22520 .......
22540 .......
22660 .......
VerDate jul<14>2003
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(Constituent counties)
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Douglas County, WI.
Durham, NC ...........................................................................................................................................................................
Chatham County, NC.
Durham County, NC.
Orange County, NC.
Person County, NC.
Eau Claire, WI .......................................................................................................................................................................
Chippewa County, WI.
Eau Claire County, WI.
Edison, NJ .............................................................................................................................................................................
Middlesex County, NJ.
Monmouth County, NJ.
Ocean County, NJ.
Somerset County, NJ.
El Centro, CA .........................................................................................................................................................................
Imperial County, CA.
Elizabethtown, KY ..................................................................................................................................................................
Hardin County, KY.
Larue County, KY.
Elkhart-Goshen, IN ................................................................................................................................................................
Elkhart County, IN.
Elmira, NY ..............................................................................................................................................................................
Chemung County, NY.
El Paso, TX ............................................................................................................................................................................
El Paso County, TX.
Erie, PA ..................................................................................................................................................................................
Erie County, PA.
Essex County, MA .................................................................................................................................................................
Essex County, MA.
Eugene-Springfield, OR .........................................................................................................................................................
Lane County, OR.
Evansville, IN-KY ...................................................................................................................................................................
Gibson County, IN.
Posey County, IN.
Vanderburgh County, IN.
Warrick County, IN.
Henderson County, KY.
Webster County, KY.
Fairbanks, AK ........................................................................................................................................................................
Fairbanks North Star Borough, AK.
Fajardo, PR ............................................................................................................................................................................
Ceiba Municipio, PR.
Fajardo Municipio, PR.
Luquillo Municipio, PR.
Fargo, ND-MN .......................................................................................................................................................................
Cass County, ND.
Clay County, MN.
Farmington, NM .....................................................................................................................................................................
San Juan County, NM.
Fayetteville, NC .....................................................................................................................................................................
Cumberland County, NC.
Hoke County, NC.
Fayetteville-Springdale-Rogers, AR-MO ...............................................................................................................................
Benton County, AR.
Madison County, AR.
Washington County, AR.
McDonald County, MO.
Flagstaff, AZ ..........................................................................................................................................................................
Coconino County, AZ.
Flint, MI ..................................................................................................................................................................................
Genesee County, MI.
Florence, SC ..........................................................................................................................................................................
Darlington County, SC.
Florence County, SC.
Florence-Muscle Shoals, AL ..................................................................................................................................................
Colbert County, AL.
Lauderdale County, AL.
Fond du Lac, WI ....................................................................................................................................................................
Fond du Lac County, WI.
Fort Collins-Loveland, CO .....................................................................................................................................................
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0.8856
0.8684
0.9278
0.8445
0.9181
0.8699
1.0662
1.0940
0.8372
1.1146
0.3939
0.9114
0.8049
0.9363
0.8636
1.0787
1.1178
0.8833
0.7883
0.9897
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TABLE 2A.—PROPOSED INPATIENT REHABILITAION FACILITY WAGE INDEX FOR URBAN AREAS BASED ON PROPOSED CBSA
LABOR MARKET AREAS FOR DISCHARGES OCCURRING ON OR AFTER OCTOBER 1, 2005—Continued
CBSA
code
22744 .......
22900 .......
23020 .......
23060 .......
23104 .......
23420 .......
23460 .......
23540 .......
23580 .......
23844 .......
24020 .......
24140 .......
24220 .......
24300 .......
24340 .......
24500 .......
24540 .......
24580 .......
24660 .......
24780 .......
24860 .......
25020 .......
VerDate jul<14>2003
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(Constituent counties)
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Index
Larimer County, CO.
Fort Lauderdale-Pompano Beach-Deerfield Beach, FL ........................................................................................................
Broward County, FL.
Fort Smith, AR-OK .................................................................................................................................................................
Crawford County, AR.
Franklin County, AR.
Sebastian County, AR.
Le Flore County, OK.
Sequoyah County, OK.
Fort Walton Beach-Crestview-Destin, FL ..............................................................................................................................
Okaloosa County, FL.
Fort Wayne, IN ......................................................................................................................................................................
Allen County, IN.
Wells County, IN.
Whitley County, IN.
Fort Worth-Arlington, TX ........................................................................................................................................................
Johnson County, TX.
Parker County, TX.
Tarrant County, TX.
Wise County, TX.
Fresno, CA .............................................................................................................................................................................
Fresno County, CA.
Gadsden, AL ..........................................................................................................................................................................
Etowah County, AL.
Gainesville, FL .......................................................................................................................................................................
Alachua County, FL.
Gilchrist County, FL.
Gainesville, GA ......................................................................................................................................................................
Hall County, GA.
Gary, IN .................................................................................................................................................................................
Jasper County, IN.
Lake County, IN.
Newton County, IN.
Porter County, IN.
Glens Falls, NY ......................................................................................................................................................................
Warren County, NY.
Washington County, NY.
Goldsboro, NC .......................................................................................................................................................................
Wayne County, NC.
Grand Forks, ND-MN .............................................................................................................................................................
Polk County, MN.
Grand Forks County, ND.
Grand Junction, CO ...............................................................................................................................................................
Mesa County, CO.
Grand Rapids-Wyoming, MI ..................................................................................................................................................
Barry County, MI.
Ionia County, MI.
Kent County, MI.
Newaygo County, MI.
Great Falls, MT ......................................................................................................................................................................
Cascade County, MT.
Greeley, CO ...........................................................................................................................................................................
Weld County, CO.
Green Bay, WI .......................................................................................................................................................................
Brown County, WI.
Kewaunee County, WI.
Oconto County, WI.
Greensboro-High Point, NC ...................................................................................................................................................
Guilford County, NC.
Randolph County, NC.
Rockingham County, NC.
Greenville, NC .......................................................................................................................................................................
Greene County, NC.
Pitt County, NC.
Greenville, SC ........................................................................................................................................................................
Greenville County, SC.
Laurens County, SC.
Pickens County, SC.
Guayama, PR ........................................................................................................................................................................
Arroyo Municipio, PR.
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0.8786
0.9807
0.9472
1.0536
0.8049
0.9459
0.9557
0.9310
0.8467
0.8778
0.9091
0.9900
0.9420
0.8810
0.9444
0.9590
0.9190
0.9183
0.9557
0.4005
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Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
TABLE 2A.—PROPOSED INPATIENT REHABILITAION FACILITY WAGE INDEX FOR URBAN AREAS BASED ON PROPOSED CBSA
LABOR MARKET AREAS FOR DISCHARGES OCCURRING ON OR AFTER OCTOBER 1, 2005—Continued
CBSA
code
25060 .......
25180 .......
25260 .......
25420 .......
25500 .......
25540 .......
25620 .......
25860 .......
25980 .......
26100 .......
26180 .......
26300 .......
26380 .......
26420 .......
26580 .......
26620 .......
26820 .......
26900 .......
VerDate jul<14>2003
Urban area
(Constituent counties)
Full wage
Index
Guayama Municipio, PR.
Patillas Municipio, PR.
Gulfport-Biloxi, MS .................................................................................................................................................................
Hancock County, MS.
Harrison County, MS.
Stone County, MS.
Hagerstown-Martinsburg, MD-WV .........................................................................................................................................
Washington County, MD.
Berkeley County, WV.
Morgan County, WV.
Hanford-Corcoran, CA ...........................................................................................................................................................
Kings County, CA.
Harrisburg-Carlisle, PA ..........................................................................................................................................................
Cumberland County, PA.
Dauphin County, PA.
Perry County, PA.
Harrisonburg, VA ...................................................................................................................................................................
Rockingham County, VA.
Harrisonburg City, VA.
Hartford-West Hartford-East Hartford, CT .............................................................................................................................
Hartford County, CT.
Litchfield County, CT.
Middlesex County, CT.
Tolland County, CT.
Hattiesburg, MS .....................................................................................................................................................................
Forrest County, MS.
Lamar County, MS.
Perry County, MS.
Hickory-Lenoir-Morganton, NC ..............................................................................................................................................
Alexander County, NC.
Burke County, NC.
Caldwell County, NC.
Catawba County, NC.
Hinesville-Fort Stewart, GA ...................................................................................................................................................
Liberty County, GA.
Long County, GA.
Holland-Grand Haven, MI ......................................................................................................................................................
Ottawa County, MI.
Honolulu, HI ...........................................................................................................................................................................
Honolulu County, HI.
Hot Springs, AR .....................................................................................................................................................................
Garland County, AR.
Houma-Bayou Cane-Thibodaux, LA ......................................................................................................................................
Lafourche Parish, LA.
Terrebonne Parish, LA.
Houston-Baytown-Sugar Land, TX ........................................................................................................................................
Austin County, TX.
Brazoria County, TX.
Chambers County, TX.
Fort Bend County, TX.
Galveston County, TX.
Harris County, TX.
Liberty County, TX.
Montgomery County, TX.
San Jacinto County, TX.
Waller County, TX.
Huntington-Ashland, WV-KY-OH ...........................................................................................................................................
Boyd County, KY.
Greenup County, KY.
Lawrence County, OH.
Cabell County, WV.
Wayne County, WV.
Huntsville, AL .........................................................................................................................................................................
Limestone County, AL.
Madison County, AL.
Idaho Falls, ID .......................................................................................................................................................................
Bonneville County, ID.
Jefferson County, ID.
Indianapolis, IN ......................................................................................................................................................................
Boone County, IN.
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0.7362
0.9502
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TABLE 2A.—PROPOSED INPATIENT REHABILITAION FACILITY WAGE INDEX FOR URBAN AREAS BASED ON PROPOSED CBSA
LABOR MARKET AREAS FOR DISCHARGES OCCURRING ON OR AFTER OCTOBER 1, 2005—Continued
CBSA
code
26980 .......
27060 .......
27100 .......
27140 .......
27180 .......
27260 .......
27340 .......
27500 .......
27620 .......
27740 .......
27780 .......
27860 .......
27900 .......
28020 .......
28100 .......
28140 .......
VerDate jul<14>2003
Urban area
(Constituent counties)
Full wage
Index
Brown County, IN.
Hamilton County, IN.
Hancock County, IN.
Hendricks County, IN.
Johnson County, IN.
Marion County, IN.
Morgan County, IN.
Putnam County, IN.
Shelby County, IN.
Iowa City, IA ..........................................................................................................................................................................
Johnson County, IA.
Washington County, IA.
Ithaca, NY ..............................................................................................................................................................................
Tompkins County, NY.
Jackson, MI ............................................................................................................................................................................
Jackson County, MI.
Jackson, MS ..........................................................................................................................................................................
Copiah County, MS.
Hinds County, MS.
Madison County, MS.
Rankin County, MS.
Simpson County, MS.
Jackson, TN ...........................................................................................................................................................................
Chester County, TN.
Madison County, TN.
Jacksonville, FL .....................................................................................................................................................................
Baker County, FL.
Clay County, FL.
Duval County, FL.
Nassau County, FL.
St. Johns County, FL.
Jacksonville, NC ....................................................................................................................................................................
Onslow County, NC.
Janesville, WI .........................................................................................................................................................................
Rock County, WI.
Jefferson City, MO .................................................................................................................................................................
Callaway County, MO.
Cole County, MO.
Moniteau County, MO.
Osage County, MO.
Johnson City, TN ...................................................................................................................................................................
Carter County, TN.
Unicoi County, TN.
Washington County, TN.
Johnstown, PA .......................................................................................................................................................................
Cambria County, PA.
Jonesboro, AR .......................................................................................................................................................................
Craighead County, AR.
Poinsett County, AR.
Joplin, MO ..............................................................................................................................................................................
Jasper County, MO.
Newton County, MO.
Kalamazoo-Portage, MI .........................................................................................................................................................
Kalamazoo County, MI.
Van Buren County, MI.
Kankakee-Bradley, IL ............................................................................................................................................................
Kankakee County, IL.
Kansas City, MO-KS ..............................................................................................................................................................
Franklin County, KS.
Johnson County, KS.
Leavenworth County, KS.
Linn County, KS.
Miami County, KS.
Wyandotte County, KS.
Bates County, MO.
Caldwell County, MO.
Cass County, MO.
Clay County, MO.
Clinton County, MO.
Jackson County, MO.
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TABLE 2A.—PROPOSED INPATIENT REHABILITAION FACILITY WAGE INDEX FOR URBAN AREAS BASED ON PROPOSED CBSA
LABOR MARKET AREAS FOR DISCHARGES OCCURRING ON OR AFTER OCTOBER 1, 2005—Continued
CBSA
code
28420 .......
28660 .......
28700 .......
28740 .......
28940 .......
29020 .......
29100 .......
29140 .......
29180 .......
29340 .......
29404 .......
29460 .......
29540 .......
29620 .......
29700 .......
29740 .......
29820 .......
29940 .......
30020 .......
30140 .......
30300 .......
30340 .......
30460 .......
VerDate jul<14>2003
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(Constituent counties)
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Index
Lafayette County, MO.
Platte County, MO.
Ray County, MO.
Kennewick-Richland-Pasco, WA ...........................................................................................................................................
Benton County, WA.
Franklin County, WA.
Killeen-Temple-Fort Hood, TX ...............................................................................................................................................
Bell County, TX.
Coryell County, TX.
Lampasas County, TX.
Kingsport-Bristol-Bristol, TN-VA ............................................................................................................................................
Hawkins County, TN.
Sullivan County, TN.
Bristol City, VA.
Scott County, VA.
Washington County, VA.
Kingston, NY ..........................................................................................................................................................................
Ulster County, NY.
Knoxville, TN ..........................................................................................................................................................................
Anderson County, TN.
Blount County, TN.
Knox County, TN.
Loudon County, TN.
Union County, TN.
Kokomo, IN ............................................................................................................................................................................
Howard County, IN.
Tipton County, IN.
La Crosse, WI-MN .................................................................................................................................................................
Houston County, MN.
La Crosse County, WI.
Lafayette, IN ..........................................................................................................................................................................
Benton County, IN.
Carroll County, IN.
Tippecanoe County, IN.
Lafayette, LA ..........................................................................................................................................................................
Lafayette Parish, LA.
St. Martin Parish, LA.
Lake Charles, LA ...................................................................................................................................................................
Calcasieu Parish, LA.
Cameron Parish, LA.
Lake County-Kenosha County, IL-WI ....................................................................................................................................
Lake County, IL.
Kenosha County, WI.
Lakeland, FL ..........................................................................................................................................................................
Polk County, FL.
Lancaster, PA ........................................................................................................................................................................
Lancaster County, PA.
Lansing-East Lansing, MI ......................................................................................................................................................
Clinton County, MI.
Eaton County, MI.
Ingham County, MI.
Laredo, TX .............................................................................................................................................................................
Webb County, TX.
Las Cruces, NM .....................................................................................................................................................................
Dona Ana County, NM.
Las Vegas-Paradise, NV .......................................................................................................................................................
Clark County, NV.
Lawrence, KS ........................................................................................................................................................................
Douglas County, KS.
Lawton, OK ............................................................................................................................................................................
Comanche County, OK.
Lebanon, PA ..........................................................................................................................................................................
Lebanon County, PA.
Lewiston, ID-WA ....................................................................................................................................................................
Nez Perce County, ID.
Asotin County, WA.
Lewiston-Auburn, ME ............................................................................................................................................................
Androscoggin County, ME.
Lexington-Fayette, KY ...........................................................................................................................................................
Bourbon County, KY.
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0.8986
0.9289
0.9067
0.8306
0.7935
1.0342
0.8930
0.9883
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TABLE 2A.—PROPOSED INPATIENT REHABILITAION FACILITY WAGE INDEX FOR URBAN AREAS BASED ON PROPOSED CBSA
LABOR MARKET AREAS FOR DISCHARGES OCCURRING ON OR AFTER OCTOBER 1, 2005—Continued
CBSA
code
30620 .......
30700 .......
30780 .......
30860 .......
30980 .......
31020 .......
31084 .......
31140 .......
31180 .......
31340 .......
31420 .......
31460 .......
31540 .......
31700 .......
31900 .......
32420 .......
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(Constituent counties)
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Clark County, KY.
Fayette County, KY.
Jessamine County, KY.
Scott County, KY.
Woodford County, KY.
Lima, OH ................................................................................................................................................................................
Allen County, OH.
Lincoln, NE ............................................................................................................................................................................
Lancaster County, NE.
Seward County, NE.
Little Rock-North Little Rock, AR ...........................................................................................................................................
Faulkner County, AR.
Grant County, AR.
Lonoke County, AR.
Perry County, AR.
Pulaski County, AR.
Saline County, AR.
Logan, UT-ID .........................................................................................................................................................................
Franklin County, ID.
Cache County, UT.
Longview, TX .........................................................................................................................................................................
Gregg County, TX.
Rusk County, TX.
Upshur County, TX.
Longview, WA ........................................................................................................................................................................
Cowlitz County, WA.
Los Angeles-Long Beach-Glendale, CA ................................................................................................................................
Los Angeles County, CA.
Louisville, KY-IN ....................................................................................................................................................................
Clark County, IN.
Floyd County, IN.
Harrison County, IN.
Washington County, IN.
Bullitt County, KY.
Henry County, KY.
Jefferson County, KY.
Meade County, KY.
Nelson County, KY.
Oldham County, KY.
Shelby County, KY.
Spencer County, KY.
Trimble County, KY.
Lubbock, TX ...........................................................................................................................................................................
Crosby County, TX.
Lubbock County, TX.
Lynchburg, VA .......................................................................................................................................................................
Amherst County, VA.
Appomattox County, VA.
Bedford County, VA.
Campbell County, VA.
Bedford City, VA.
Lynchburg City, VA.
Macon, GA .............................................................................................................................................................................
Bibb County, GA.
Crawford County, GA.
Jones County, GA.
Monroe County, GA.
Twiggs County, GA.
Madera, CA ............................................................................................................................................................................
Madera County, CA.
Madison, WI ...........................................................................................................................................................................
Columbia County, WI.
Dane County, WI.
Iowa County, WI.
Manchester-Nashua, NH .......................................................................................................................................................
Hillsborough County, NH.
Merrimack County, NH.
Mansfield, OH ........................................................................................................................................................................
Richland County, OH.
Mayaguez, PR .......................................................................................................................................................................
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TABLE 2A.—PROPOSED INPATIENT REHABILITAION FACILITY WAGE INDEX FOR URBAN AREAS BASED ON PROPOSED CBSA
LABOR MARKET AREAS FOR DISCHARGES OCCURRING ON OR AFTER OCTOBER 1, 2005—Continued
CBSA
code
32580 .......
32780 .......
32820 .......
32900 .......
33124 .......
33140 .......
33260 .......
33340 .......
33460 .......
33540 .......
33660 .......
33700 .......
33740 .......
33780 .......
33860 .......
34060 .......
34100 .......
34580 .......
34620 .......
34740 .......
VerDate jul<14>2003
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(Constituent counties)
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Hormigueros Municipio, PR.
Mayaguez Municipio, PR.
McAllen-Edinburg-Pharr, TX ..................................................................................................................................................
Hidalgo County, TX.
Medford, OR ..........................................................................................................................................................................
Jackson County, OR.
Memphis, TN-MS-AR .............................................................................................................................................................
Crittenden County, AR.
DeSoto County, MS.
Marshall County, MS.
Tate County, MS.
Tunica County, MS.
Fayette County, TN.
Shelby County, TN.
Tipton County, TN.
Merced, CA ............................................................................................................................................................................
Merced County, CA.
Miami-Miami Beach-Kendall, FL ............................................................................................................................................
Miami-Dade County, FL.
Michigan City-La Porte, IN ....................................................................................................................................................
LaPorte County, IN.
Midland, TX ............................................................................................................................................................................
Midland County, TX.
Milwaukee-Waukesha-West Allis, WI ....................................................................................................................................
Milwaukee County, WI.
Ozaukee County, WI.
Washington County, WI.
Waukesha County, WI.
Minneapolis-St. Paul-Bloomington, MN-WI ...........................................................................................................................
Anoka County, MN.
Carver County, MN.
Chisago County, MN.
Dakota County, MN.
Hennepin County, MN.
Isanti County, MN.
Ramsey County, MN.
Scott County, MN.
Sherburne County, MN.
Washington County, MN.
Wright County, MN.
Pierce County, WI.
St. Croix County, WI.
Missoula, MT .........................................................................................................................................................................
Missoula County, MT.
Mobile, AL ..............................................................................................................................................................................
Mobile County, AL.
Modesto, CA ..........................................................................................................................................................................
Stanislaus County, CA.
Monroe, LA ............................................................................................................................................................................
Ouachita Parish, LA.
Union Parish, LA.
Monroe, MI .............................................................................................................................................................................
Monroe County, MI.
Montgomery, AL ....................................................................................................................................................................
Autauga County, AL.
Elmore County, AL.
Lowndes County, AL.
Montgomery County, AL.
Morgantown, WV ...................................................................................................................................................................
Monongalia County, WV.
Preston County, WV.
Morristown, TN ......................................................................................................................................................................
Grainger County, TN.
Hamblen County, TN.
Jefferson County, TN.
Mount Vernon-Anacortes, WA ...............................................................................................................................................
Skagit County, WA.
Muncie, IN ..............................................................................................................................................................................
Delaware County, IN.
Muskegon-Norton Shores, MI ................................................................................................................................................
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0.9332
0.9384
1.0076
1.1066
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TABLE 2A.—PROPOSED INPATIENT REHABILITAION FACILITY WAGE INDEX FOR URBAN AREAS BASED ON PROPOSED CBSA
LABOR MARKET AREAS FOR DISCHARGES OCCURRING ON OR AFTER OCTOBER 1, 2005—Continued
CBSA
code
34820 .......
34900 .......
34940 .......
34980 .......
35004 .......
35084 .......
35300 .......
35380 .......
35644 .......
35660 .......
35980 .......
36084 .......
36100 .......
36140 .......
36220 .......
36260 .......
VerDate jul<14>2003
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(Constituent counties)
Full wage
Index
Muskegon County, MI.
Myrtle Beach-Conway-North Myrtle Beach, SC ....................................................................................................................
Horry County, SC.
Napa, CA ...............................................................................................................................................................................
Napa County, CA.
Naples-Marco Island, FL .......................................................................................................................................................
Collier County, FL.
Nashville-Davidson—Murfreesboro, TN ................................................................................................................................
Cannon County, TN.
Cheatham County, TN.
Davidson County, TN.
Dickson County, TN.
Hickman County, TN.
Macon County, TN.
Robertson County, TN.
Rutherford County, TN.
Smith County, TN.
Sumner County, TN.
Trousdale County, TN.
Williamson County, TN.
Wilson County, TN.
Nassau-Suffolk, NY ...............................................................................................................................................................
Nassau County, NY.
Suffolk County, NY.
Newark-Union, NJ-PA ............................................................................................................................................................
Essex County, NJ.
Hunterdon County, NJ.
Morris County, NJ.
Sussex County, NJ.
Union County, NJ.
Pike County, PA.
New Haven-Milford, CT .........................................................................................................................................................
New Haven County, CT.
New Orleans-Metairie-Kenner, LA .........................................................................................................................................
Jefferson Parish, LA.
Orleans Parish, LA.
Plaquemines Parish, LA.
St. Bernard Parish, LA.
St. Charles Parish, LA.
St. John the Baptist Parish, LA.
St. Tammany Parish, LA.
New York-Wayne-White Plains, NY-NJ .................................................................................................................................
Bergen County, NJ.
Hudson County, NJ.
Passaic County, NJ.
Bronx County, NY.
Kings County, NY.
New York County, NY.
Putnam County, NY.
Queens County, NY.
Richmond County, NY.
Rockland County, NY.
Westchester County, NY.
Niles-Benton Harbor, MI ........................................................................................................................................................
Berrien County, MI.
Norwich-New London, CT .....................................................................................................................................................
New London County, CT.
Oakland-Fremont-Hayward, CA ............................................................................................................................................
Alameda County, CA.
Contra Costa County, CA.
Ocala, FL ...............................................................................................................................................................................
Marion County, FL.
Ocean City, NJ ......................................................................................................................................................................
Cape May County, NJ.
Odessa, TX ............................................................................................................................................................................
Ector County, TX.
Ogden-Clearfield, UT .............................................................................................................................................................
Davis County, UT.
Morgan County, UT.
Weber County, UT.
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Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
TABLE 2A.—PROPOSED INPATIENT REHABILITAION FACILITY WAGE INDEX FOR URBAN AREAS BASED ON PROPOSED CBSA
LABOR MARKET AREAS FOR DISCHARGES OCCURRING ON OR AFTER OCTOBER 1, 2005—Continued
CBSA
code
Urban area
(Constituent counties)
36420 .......
Oklahoma City, OK ................................................................................................................................................................
Canadian County, OK.
Cleveland County, OK.
Grady County, OK.
Lincoln County, OK.
Logan County, OK.
McClain County, OK.
Oklahoma County, OK.
Olympia, WA ..........................................................................................................................................................................
Thurston County, WA.
Omaha-Council Bluffs, NE-IA ................................................................................................................................................
Harrison County, IA.
Mills County, IA.
Pottawattamie County, IA.
Cass County, NE.
Douglas County, NE.
Sarpy County, NE.
Saunders County, NE.
Washington County, NE.
Orlando, FL ............................................................................................................................................................................
Lake County, FL.
Orange County, FL.
Osceola County, FL.
Seminole County, FL.
Oshkosh-Neenah, WI ............................................................................................................................................................
Winnebago County, WI.
Owensboro, KY ......................................................................................................................................................................
Daviess County, KY.
Hancock County, KY.
McLean County, KY.
Oxnard-Thousand Oaks-Ventura, CA ...................................................................................................................................
Ventura County, CA.
Palm Bay-Melbourne-Titusville, FL ........................................................................................................................................
Brevard County, FL.
Panama City-Lynn Haven, FL ...............................................................................................................................................
Bay County, FL.
Parkersburg-Marietta, WV-OH ...............................................................................................................................................
Washington County, OH.
Pleasants County, WV.
Wirt County, WV.
Wood County, WV.
Pascagoula, MS .....................................................................................................................................................................
George County, MS.
Jackson County, MS.
Pensacola-Ferry Pass-Brent, FL ...........................................................................................................................................
Escambia County, FL.
Santa Rosa County, FL.
Peoria, IL ...............................................................................................................................................................................
Marshall County, IL.
Peoria County, IL.
Stark County, IL.
Tazewell County, IL.
Woodford County, IL.
Philadelphia, PA ....................................................................................................................................................................
Bucks County, PA.
Chester County, PA.
Delaware County, PA.
Montgomery County, PA.
Philadelphia County, PA.
Phoenix-Mesa-Scottsdale, AZ ...............................................................................................................................................
Maricopa County, AZ.
Pinal County, AZ.
Pine Bluff, AR ........................................................................................................................................................................
Cleveland County, AR.
Jefferson County, AR.
Lincoln County, AR.
Pittsburgh, PA ........................................................................................................................................................................
Allegheny County, PA.
Armstrong County, PA.
Beaver County, PA.
36500 .......
36540 .......
36740 .......
36780 .......
36980 .......
37100 .......
37340 .......
37460 .......
37620 .......
37700 .......
37860 .......
37900 .......
37964 .......
38060 .......
38220 .......
38300 .......
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25MYP2
0.8982
1.1006
0.9754
0.9742
0.9099
0.8434
1.1105
0.9633
0.8124
0.8288
0.7974
0.8306
0.8886
1.0865
0.9982
0.8673
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TABLE 2A.—PROPOSED INPATIENT REHABILITAION FACILITY WAGE INDEX FOR URBAN AREAS BASED ON PROPOSED CBSA
LABOR MARKET AREAS FOR DISCHARGES OCCURRING ON OR AFTER OCTOBER 1, 2005—Continued
CBSA
code
38340 .......
38540 .......
38660 .......
38860 .......
38900 .......
38940 .......
39100 .......
39140 .......
39300 .......
39340 .......
39380 .......
39460 .......
39540 .......
39580 .......
39660 .......
39740 .......
39820 .......
39900 .......
40060 .......
VerDate jul<14>2003
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(Constituent counties)
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Index
Butler County, PA.
Fayette County, PA.
Washington County, PA.
Westmoreland County, PA.
Pittsfield, MA ..........................................................................................................................................................................
Berkshire County, MA.
Pocatello, ID ..........................................................................................................................................................................
Bannock County, ID.
Power County, ID.
Ponce, PR ..............................................................................................................................................................................
Juana Daz Municipio, PR.
Ponce Municipio, PR.
Villalba Municipio, PR.
Portland-South Portland-Biddeford, ME ................................................................................................................................
Cumberland County, ME.
Sagadahoc County, ME.
York County, ME.
Portland-Vancouver-Beaverton, OR-WA ...............................................................................................................................
Clackamas County, OR.
Columbia County, OR.
Multnomah County, OR.
Washington County, OR.
Yamhill County, OR.
Clark County, WA.
Skamania County, WA.
Port St. Lucie-Fort Pierce, FL ................................................................................................................................................
Martin County, FL.
St. Lucie County, FL.
Poughkeepsie-Newburgh-Middletown, NY ............................................................................................................................
Dutchess County, NY.
Orange County, NY.
Prescott, AZ ...........................................................................................................................................................................
Yavapai County, AZ.
Providence-New Bedford-Fall River, RI-MA ..........................................................................................................................
Bristol County, MA.
Bristol County, RI.
Kent County, RI.
Newport County, RI.
Providence County, RI.
Washington County, RI.
Provo-Orem, UT ....................................................................................................................................................................
Juab County, UT.
Utah County, UT.
Pueblo, CO ............................................................................................................................................................................
Pueblo County, CO.
Punta Gorda, FL ....................................................................................................................................................................
Charlotte County, FL.
Racine, WI .............................................................................................................................................................................
Racine County, WI.
Raleigh-Cary, NC ...................................................................................................................................................................
Franklin County, NC.
Johnston County, NC.
Wake County, NC.
Rapid City, SD .......................................................................................................................................................................
Meade County, SD.
Pennington County, SD.
Reading, PA ...........................................................................................................................................................................
Berks County, PA.
Redding, CA ..........................................................................................................................................................................
Shasta County, CA.
Reno-Sparks, NV ...................................................................................................................................................................
Storey County, NV.
Washoe County, NV.
Richmond, VA ........................................................................................................................................................................
Amelia County, VA.
Caroline County, VA.
Charles City County, VA.
Chesterfield County, VA.
Cumberland County, VA.
Dinwiddie County, VA.
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Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
TABLE 2A.—PROPOSED INPATIENT REHABILITAION FACILITY WAGE INDEX FOR URBAN AREAS BASED ON PROPOSED CBSA
LABOR MARKET AREAS FOR DISCHARGES OCCURRING ON OR AFTER OCTOBER 1, 2005—Continued
CBSA
code
40140 .......
40220 .......
40340 .......
40380 .......
40420 .......
40484 .......
40580 .......
40660 .......
40900 .......
40980 .......
41060 .......
41100 .......
41140 .......
41180 .......
VerDate jul<14>2003
Urban area
(Constituent counties)
Full wage
Index
Goochland County, VA.
Hanover County, VA.
Henrico County, VA.
King and Queen County, VA.
King William County, VA.
Louisa County, VA.
New Kent County, VA.
Powhatan County, VA.
Prince George County, VA.
Sussex County, VA.
Colonial Heights City, VA.
Hopewell City, VA.
Petersburg City, VA.
Richmond City, VA.
Riverside-San Bernardino-Ontario, CA .................................................................................................................................
Riverside County, CA.
San Bernardino County, CA.
Roanoke, VA ..........................................................................................................................................................................
Botetourt County, VA.
Craig County, VA.
Franklin County, VA.
Roanoke County, VA.
Roanoke City, VA.
Salem City, VA.
Rochester, MN .......................................................................................................................................................................
Dodge County, MN.
Olmsted County, MN.
Wabasha County, MN.
Rochester, NY .......................................................................................................................................................................
Livingston County, NY.
Monroe County, NY.
Ontario County, NY.
Orleans County, NY.
Wayne County, NY.
Rockford, IL ...........................................................................................................................................................................
Boone County, IL.
Winnebago County, IL.
Rockingham County-Strafford County, NH ...........................................................................................................................
Rockingham County, NH.
Strafford County, NH.
Rocky Mount, NC ..................................................................................................................................................................
Edgecombe County, NC.
Nash County, NC.
Rome, GA ..............................................................................................................................................................................
Floyd County, GA.
Sacramento—Arden-Arcade—Roseville, CA ........................................................................................................................
El Dorado County, CA.
Placer County, CA.
Sacramento County, CA.
Yolo County, CA.
Saginaw-Saginaw Township North, MI .................................................................................................................................
Saginaw County, MI.
St. Cloud, MN ........................................................................................................................................................................
Benton County, MN.
Stearns County, MN.
St. George, UT ......................................................................................................................................................................
Washington County, UT.
St. Joseph, MO-KS ................................................................................................................................................................
Doniphan County, KS.
Andrew County, MO.
Buchanan County, MO.
DeKalb County, MO.
St. Louis, MO-IL .....................................................................................................................................................................
Bond County, IL.
Calhoun County, IL.
Clinton County, IL.
Jersey County, IL.
Macoupin County, IL.
Madison County, IL.
Monroe County, IL.
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Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
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TABLE 2A.—PROPOSED INPATIENT REHABILITAION FACILITY WAGE INDEX FOR URBAN AREAS BASED ON PROPOSED CBSA
LABOR MARKET AREAS FOR DISCHARGES OCCURRING ON OR AFTER OCTOBER 1, 2005—Continued
CBSA
code
41420 .......
41500 .......
41540 .......
41620 .......
41660 .......
41700 .......
41740 .......
41780 .......
41884 .......
41900 .......
41940 .......
41980 .......
VerDate jul<14>2003
Urban area
(Constituent counties)
Full wage
Index
St. Clair County, IL.
Crawford County, MO.
Franklin County, MO.
Jefferson County, MO.
Lincoln County, MO.
St. Charles County, MO.
St. Louis County, MO.
Warren County, MO.
Washington County, MO.
St. Louis City, MO.
Salem, OR .............................................................................................................................................................................
Marion County, OR.
Polk County, OR.
Salinas, CA ............................................................................................................................................................................
Monterey County, CA.
Salisbury, MD ........................................................................................................................................................................
Somerset County, MD.
Wicomico County, MD.
Salt Lake City, UT .................................................................................................................................................................
Salt Lake County, UT.
Summit County, UT.
Tooele County, UT.
San Angelo, TX .....................................................................................................................................................................
Irion County, TX.
Tom Green County, TX.
San Antonio, TX ....................................................................................................................................................................
Atascosa County, TX.
Bandera County, TX.
Bexar County, TX.
Comal County, TX.
Guadalupe County, TX.
Kendall County, TX.
Medina County, TX.
Wilson County, TX.
San Diego-Carlsbad-San Marcos, CA ...................................................................................................................................
San Diego County, CA.
Sandusky, OH ........................................................................................................................................................................
Erie County, OH.
San Francisco-San Mateo-Redwood City, CA ......................................................................................................................
Marin County, CA.
San Francisco County, CA.
San Mateo County, CA.
San German-Cabo Rojo, PR .................................................................................................................................................
Cabo Rojo Municipio, PR.
Lajas Municipio, PR.
Sabana Grande Municipio, PR.
San German Municipio, PR.
San Jose-Sunnyvale-Santa Clara, CA ..................................................................................................................................
San Benito County, CA.
Santa Clara County, CA.
San Juan-Caguas-Guaynabo, PR .........................................................................................................................................
Aguas Buenas Municipio, PR.
Aibonito Municipio, PR.
Arecibo Municipio, PR.
Barceloneta Municipio, PR.
Barranquitas Municipio, PR.
´
Bayamon Municipio, PR.
Caguas Municipio, PR.
Camuy Municipio, PR.
´
Canovanas Municipio, PR.
Carolina Municipio, PR.
˜
Catano Municipio, PR.
Cayey Municipio, PR.
Ciales Municipio, PR.
Cidra Municipio, PR.
Comero Municipio, PR.
Corozal Municipio, PR.
Dorado Municipio, PR.
Florida Municipio, PR.
Guaynabo Municipio, PR.
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0.9003
1.1267
0.9017
1.4712
0.5240
1.4722
0.4645
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Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
TABLE 2A.—PROPOSED INPATIENT REHABILITAION FACILITY WAGE INDEX FOR URBAN AREAS BASED ON PROPOSED CBSA
LABOR MARKET AREAS FOR DISCHARGES OCCURRING ON OR AFTER OCTOBER 1, 2005—Continued
CBSA
code
42020 .......
42044 .......
42060 .......
42100 .......
42140 .......
42220 .......
42260 .......
42340 .......
42540 .......
42644 .......
43100 .......
43300 .......
43340 .......
43580 .......
43620 .......
43780 .......
43900 .......
VerDate jul<14>2003
Urban area
(Constituent counties)
Full wage
Index
Gurabo Municipio, PR.
Hatillo Municipio, PR.
Humacao Municipio, PR.
Juncos Municipio, PR.
Las Piedras Municipio, PR.
´
Loıza Municipio, PR.
´
Manatı Municipio, PR.
Maunabo Municipio, PR.
Morovis Municipio, PR.
Naguabo Municipio, PR.
Naranjito Municipio, PR.
Orocovis Municipio, PR.
Quebradillas Municipio, PR.
´
Rıo Grande Municipio, PR.
San Juan Municipio, PR.
San Lorenzo Municipio, PR.
Toa Alta Municipio, PR.
Toa Baja Municipio, PR.
Trujillo Alto Municipio, PR.
Vega Alta Municipio, PR.
Vega Baja Municipio, PR.
Yabucoa Municipio, PR.
San Luis Obispo-Paso Robles, CA .......................................................................................................................................
San Luis Obispo County, CA.
Santa Ana-Anaheim-Irvine, CA .............................................................................................................................................
Orange County, CA.
Santa Barbara-Santa Maria-Goleta, CA ................................................................................................................................
Santa Barbara County, CA.
Santa Cruz-Watsonville, CA ..................................................................................................................................................
Santa Cruz County, CA.
Santa Fe, NM ........................................................................................................................................................................
Santa Fe County, NM.
Santa Rosa-Petaluma, CA ....................................................................................................................................................
Sonoma County, CA.
Sarasota-Bradenton-Venice, FL ............................................................................................................................................
Manatee County, FL.
Sarasota County, FL.
Savannah, GA .......................................................................................................................................................................
Bryan County, GA.
Chatham County, GA.
Effingham County, GA.
Scranton—Wilkes-Barre, PA .................................................................................................................................................
Lackawanna County, PA.
Luzerne County, PA.
Wyoming County, PA.
Seattle-Bellevue-Everett, WA ................................................................................................................................................
King County, WA.
Snohomish County, WA.
Sheboygan, WI ......................................................................................................................................................................
Sheboygan County, WI.
Sherman-Denison, TX ...........................................................................................................................................................
Grayson County, TX.
Shreveport-Bossier City, LA ..................................................................................................................................................
Bossier Parish, LA.
Caddo Parish, LA.
De Soto Parish, LA.
Sioux City, IA-NE-SD .............................................................................................................................................................
Woodbury County, IA.
Dakota County, NE.
Dixon County, NE.
Union County, SD.
Sioux Falls, SD ......................................................................................................................................................................
Lincoln County, SD.
McCook County, SD.
Minnehaha County, SD.
Turner County, SD.
South Bend-Mishawaka, IN-MI ..............................................................................................................................................
St. Joseph County, IN.
Cass County, MI.
Spartanburg, SC ....................................................................................................................................................................
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1.2961
0.9629
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0.8543
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0.8948
0.9617
0.9132
0.9070
0.9441
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TABLE 2A.—PROPOSED INPATIENT REHABILITAION FACILITY WAGE INDEX FOR URBAN AREAS BASED ON PROPOSED CBSA
LABOR MARKET AREAS FOR DISCHARGES OCCURRING ON OR AFTER OCTOBER 1, 2005—Continued
CBSA
code
44060 .......
44100 .......
44140 .......
44180 .......
44220 .......
44300 .......
44700 .......
44940 .......
45060 .......
45104 .......
45220 .......
45300 .......
45460 .......
45500 .......
45780 .......
45820 .......
45940 .......
46060 .......
46140 .......
VerDate jul<14>2003
Urban area
(Constituent counties)
Full wage
Index
Spartanburg County, SC.
Spokane, WA .........................................................................................................................................................................
Spokane County, WA.
Springfield, IL .........................................................................................................................................................................
Menard County, IL.
Sangamon County, IL.
Springfield, MA ......................................................................................................................................................................
Franklin County, MA.
Hampden County, MA.
Hampshire County, MA.
Springfield, MO ......................................................................................................................................................................
Christian County, MO.
Dallas County, MO.
Greene County, MO.
Polk County, MO.
Webster County, MO.
Springfield, OH ......................................................................................................................................................................
Clark County, OH.
State College, PA ..................................................................................................................................................................
Centre County, PA.
Stockton, CA ..........................................................................................................................................................................
San Joaquin County, CA.
Sumter, SC ............................................................................................................................................................................
Sumter County, SC.
Syracuse, NY .........................................................................................................................................................................
Madison County, NY.
Onondaga County, NY.
Oswego County, NY.
Tacoma, WA ..........................................................................................................................................................................
Pierce County, WA.
Tallahassee, FL .....................................................................................................................................................................
Gadsden County, FL.
Jefferson County, FL.
Leon County, FL.
Wakulla County, FL.
Tampa-St. Petersburg-Clearwater, FL ..................................................................................................................................
Hernando County, FL.
Hillsborough County, FL.
Pasco County, FL.
Pinellas County, FL.
Terre Haute, IN ......................................................................................................................................................................
Clay County, IN.
Sullivan County, IN.
Vermillion County, IN.
Vigo County, IN.
Texarkana, TX-Texarkana, AR ..............................................................................................................................................
Miller County, AR.
Bowie County, TX.
Toledo, OH ............................................................................................................................................................................
Fulton County, OH.
Lucas County, OH.
Ottawa County, OH.
Wood County, OH.
Topeka, KS ............................................................................................................................................................................
Jackson County, KS.
Jefferson County, KS.
Osage County, KS.
Shawnee County, KS.
Wabaunsee County, KS.
Trenton-Ewing, NJ .................................................................................................................................................................
Mercer County, NJ.
Tucson, AZ ............................................................................................................................................................................
Pima County, AZ.
Tulsa, OK ...............................................................................................................................................................................
Creek County, OK.
Okmulgee County, OK.
Osage County, OK.
Pawnee County, OK.
Rogers County, OK.
Tulsa County, OK.
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1.0564
0.8520
0.9468
1.1078
0.8655
0.9024
0.8517
0.8413
0.9524
0.8904
1.0276
0.8926
0.8690
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Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
TABLE 2A.—PROPOSED INPATIENT REHABILITAION FACILITY WAGE INDEX FOR URBAN AREAS BASED ON PROPOSED CBSA
LABOR MARKET AREAS FOR DISCHARGES OCCURRING ON OR AFTER OCTOBER 1, 2005—Continued
CBSA
code
46220 .......
46340 .......
46540 .......
46660 .......
46700 .......
46940 .......
47020 .......
47220 .......
47260 .......
47300 .......
47380 .......
47580 .......
47644 .......
47894 .......
VerDate jul<14>2003
Urban area
(Constituent counties)
Full wage
Index
Wagoner County, OK.
Tuscaloosa, AL ......................................................................................................................................................................
Greene County, AL.
Hale County, AL.
Tuscaloosa County, AL.
Tyler, TX ................................................................................................................................................................................
Smith County, TX.
Utica-Rome, NY .....................................................................................................................................................................
Herkimer County, NY.
Oneida County, NY.
Valdosta, GA ..........................................................................................................................................................................
Brooks County, GA.
Echols County, GA.
Lanier County, GA.
Lowndes County, GA.
Vallejo-Fairfield, CA ...............................................................................................................................................................
Solano County, CA.
Vero Beach, FL ......................................................................................................................................................................
Indian River County, FL.
Victoria, TX ............................................................................................................................................................................
Calhoun County, TX.
Goliad County, TX.
Victoria County, TX.
Vineland-Millville-Bridgeton, NJ .............................................................................................................................................
Cumberland County, NJ.
Virginia Beach-Norfolk-Newport News, VA-NC .....................................................................................................................
Currituck County, NC.
Gloucester County, VA.
Isle of Wight County, VA.
James City County, VA.
Mathews County, VA.
Surry County, VA.
York County, VA.
Chesapeake City, VA.
Hampton City, VA.
Newport News City, VA.
Norfolk City, VA.
Poquoson City, VA.
Portsmouth City, VA.
Suffolk City, VA.
Virginia Beach City, VA.
Williamsburg City, VA.
Visalia-Porterville, CA ............................................................................................................................................................
Tulare County, CA.
Waco, TX ...............................................................................................................................................................................
McLennan County, TX.
Warner Robins, GA ...............................................................................................................................................................
Houston County, GA.
Warren-Farmington Hills-Troy, MI .........................................................................................................................................
Lapeer County, MI.
Livingston County, MI.
Macomb County, MI.
Oakland County, MI.
St. Clair County, MI.
Washington-Arlington-Alexandria, DC-VA&-MD-WV .............................................................................................................
District of Columbia, DC.
Calvert County, MD.
Charles County, MD.
Prince George’s County, MD.
Arlington County, VA.
Clarke County, VA.
Fairfax County, VA.
Fauquier County, VA.
Loudoun County, VA.
Prince William County, VA.
Spotsylvania County, VA.
Stafford County, VA.
Warren County, VA.
Alexandria City, VA.
Fairfax City, VA.
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0.8295
0.8341
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0.9477
0.8470
1.0573
0.8894
0.9975
0.8146
0.8489
1.0112
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Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
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TABLE 2A.—PROPOSED INPATIENT REHABILITAION FACILITY WAGE INDEX FOR URBAN AREAS BASED ON PROPOSED CBSA
LABOR MARKET AREAS FOR DISCHARGES OCCURRING ON OR AFTER OCTOBER 1, 2005—Continued
CBSA
code
47940 .......
48140 .......
48260 .......
48300 .......
48424 .......
48540 .......
48620 .......
48660 .......
48700 .......
48864 .......
48900 .......
49020 .......
49180 .......
49340 .......
49420 .......
49500 .......
49620 .......
49660 .......
49700 .......
VerDate jul<14>2003
Urban area
(Constituent counties)
Full wage
Index
Falls Church City, VA.
Fredericksburg City, VA.
Manassas City, VA.
Manassas Park City, VA.
Jefferson County, WV.
Waterloo-Cedar Falls, IA .......................................................................................................................................................
Black Hawk County, IA.
Bremer County, IA.
Grundy County, IA.
Wausau, WI ...........................................................................................................................................................................
Marathon County, WI.
Weirton-Steubenville, WV-OH ...............................................................................................................................................
Jefferson County, OH.
Brooke County, WV.
Hancock County, WV.
Wenatchee, WA .....................................................................................................................................................................
Chelan County, WA.
Douglas County, WA.
West Palm Beach-Boca Raton-Boynton Beach, FL ..............................................................................................................
Palm Beach County, FL.
Wheeling, WV-OH .................................................................................................................................................................
Belmont County, OH.
Marshall County, WV.
Ohio County, WV.
Wichita, KS ............................................................................................................................................................................
Butler County, KS.
Harvey County, KS.
Sedgwick County, KS.
Sumner County, KS.
Wichita Falls, TX ....................................................................................................................................................................
Archer County, TX.
Clay County, TX.
Wichita County, TX.
Williamsport, PA ....................................................................................................................................................................
Lycoming County, PA.
Wilmington, DE-MD-NJ ..........................................................................................................................................................
New Castle County, DE.
Cecil County, MD.
Salem County, NJ.
Wilmington, NC ......................................................................................................................................................................
Brunswick County, NC.
New Hanover County, NC.
Pender County, NC.
Winchester, VA-WV ...............................................................................................................................................................
Frederick County, VA.
Winchester City, VA.
Hampshire County, WV.
Winston-Salem, NC ...............................................................................................................................................................
Davie County, NC.
Forsyth County, NC.
Stokes County, NC.
Yadkin County, NC.
Worcester, MA .......................................................................................................................................................................
Worcester County, MA.
Yakima, WA ...........................................................................................................................................................................
Yakima County, WA.
Yauco, PR ..............................................................................................................................................................................
´
Guanica Municipio, PR.
Guayanilla Municipio, PR.
˜
Penuelas Municipio, PR.
Yauco Municipio, PR.
York-Hanover, PA ..................................................................................................................................................................
York County, PA.
Youngstown-Warren-Boardman, OH-PA ...............................................................................................................................
Mahoning County, OH.
Trumbull County, OH.
Mercer County, PA.
Yuba City, CA ........................................................................................................................................................................
Sutter County, CA.
Yuba County, CA.
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0.9570
0.8280
0.9427
1.0362
0.7449
0.9457
0.8332
0.8485
1.1049
0.9237
1.0496
0.9401
1.0996
1.0322
0.4493
0.9150
0.9237
1.0363
30308
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
TABLE 2A.—PROPOSED INPATIENT REHABILITAION FACILITY WAGE INDEX FOR URBAN AREAS BASED ON PROPOSED CBSA
LABOR MARKET AREAS FOR DISCHARGES OCCURRING ON OR AFTER OCTOBER 1, 2005—Continued
CBSA
code
Urban area
(Constituent counties)
Full wage
Index
49740 .......
Yuma, AZ ...............................................................................................................................................................................
Yuma County, AZ.
0.8871
TABLE 2B.—PROPOSED INPATIENT RE- TABLE 2B.—PROPOSED INPATIENT RE- TABLE 2B.—PROPOSED INPATIENT REHABILITATION FACILITY WAGE INDEX
HABILITATION FACILITY WAGE INDEX
HABILITATION FACILITY WAGE INDEX
(BASED ON PROPOSED CBSA
(BASED ON PROPOSED CBSA
(BASED ON PROPOSED CBSA
LABOR MARKET AREAS) FOR RURAL
LABOR MARKET AREAS) FOR RURAL
LABOR MARKET AREAS) FOR RURAL
AREAS FOR DISCHARGES OCCURAREAS FOR DISCHARGES OCCURAREAS FOR DISCHARGES OCCURRING ON OR AFTER OCTOBER 1,
RING ON OR AFTER OCTOBER 1,
RING ON OR AFTER OCTOBER 1,
2005
2005—Continued
2005—Continued
CBSA
code
01
02
03
04
05
06
07
08
10
11
12
13
14
15
16
17
18
19
20
21
22
.............
.............
.............
.............
.............
.............
.............
.............
.............
.............
.............
.............
.............
.............
.............
.............
.............
.............
.............
.............
.............
Full wage
index
Nonurban area
Alabama ..................
Alaska .....................
Arizona ....................
Arkansas .................
California .................
Colorado .................
Connecticut .............
Delaware .................
Florida .....................
Georgia ...................
Hawaii .....................
Idaho .......................
Illinois ......................
Indiana ....................
Iowa ........................
Kansas ....................
Kentucky .................
Louisiana ................
Maine ......................
Maryland .................
Massachusetts 2 ......
0.7628
1.1746
0.8936
0.7406
1.0524
0.9368
1.1917
0.9503
0.8574
0.7733
1.0522
0.8227
0.8339
0.8653
0.8475
0.8079
0.7755
0.7345
0.9039
0.9220
1.0216
CBSA
code
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
.............
.............
.............
.............
.............
.............
.............
.............
.............
.............
.............
.............
.............
.............
.............
.............
.............
.............
.............
.............
.............
Nonurban area
Full wage
index
Michigan .................
Minnesota ...............
Mississippi ..............
Missouri ..................
Montana ..................
Nebraska ................
Nevada ...................
New Hampshire ......
New Jersey 1 ...........
New Mexico ............
New York ................
North Carolina ........
North Dakota ..........
Ohio ........................
Oklahoma ...............
Oregon ....................
Pennsylvania ..........
Puerto Rico 2 ...........
Rhode Island 1 ........
South Carolina ........
South Dakota ..........
0.8786
0.9330
0.7635
0.7762
0.8701
0.9035
0.9280
0.9940
................
0.8680
0.8151
0.8563
0.7743
0.8693
0.7686
0.9914
0.8310
0.4047
................
0.8683
0.8398
CBSA
code
44
45
46
47
48
49
50
51
52
53
65
Nonurban area
.............
.............
.............
.............
.............
.............
.............
.............
.............
.............
.............
Tennessee ..............
Texas ......................
Utah ........................
Vermont ..................
Virgin Islands ..........
Virginia ....................
Washington .............
West Virginia ..........
Wisconsin ...............
Wyoming .................
Guam ......................
Full wage
index
0.7869
0.7966
0.8287
0.9375
0.7456
0.8049
1.0312
0.7865
0.9492
0.9182
0.9611
1 All counties within the State are classified
urban.
2 Massachusetts
and Puerto Rico have
areas designated as rural, however, no shortterm, acute care hospitals are located in the
area(s) for FY 2006 under CBSA-based designations. Therefore, we are proposing to use
FY 2001 MSA based hospital wage data.
TABLE 3.—INPATIENT REHABILITATION FACILITIES WITH CORRESPONDING STATE AND COUNTY LOCATION; CURRENT
LABOR MARKET AREA DESIGNATION; AND PROPOSED NEW CBSA-BASED LABOR MARKET AREA DESIGNATION
Provider
number
26T107
39T231
193067
24T043
42T070
14T182
14T223
19T202
05T320
02T017
33T013
14T258
05T281
52T096
39T074
17T116
36T131
393030
05T305
39T073
39T121
35T019
05T583
33T010
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
VerDate jul<14>2003
SSA
State and
county
code
Provider name
9TH FLOOR REHAB .....................................................................................................................
DABINGTON MEMORIAL HOSPITAL ..........................................................................................
ACADIA REHABILITATION HOSPITAL .......................................................................................
ACUTE CARE REHABILITATION-ALMC .....................................................................................
ACUTE REHAB UNIT AT TUOMEY HEALTHCARE SYSTEM ...................................................
ADVOCATE ILLINOIS MASONIC MEDICAL CENTER ................................................................
ADVOCATE LUTHERAN GENERAL HOSPITAL .........................................................................
AHS SUMMIT HOSPITAL LLC .....................................................................................................
ALAMEDA COUNTY MEDICAL CENTER ....................................................................................
ALASKA REGIONAL HOSPITAL ..................................................................................................
ALBANY MEDICAL CENTER HOSP ............................................................................................
ALEXIAN BROTHERS MEDICAL CENTER .................................................................................
ALHAMBRA HOSPITAL MEDICAL CENTER ...............................................................................
ALL SAINTS HEALTHCARE, INC. ...............................................................................................
ALLEGHENY GENERAL HOSPITAL SUBURBAN CAMPUS ......................................................
ALLEN COUNTY HOSPITAL ........................................................................................................
ALLIANCE COMMUNITY HOSPITAL ...........................................................................................
ALLIED SERVICES INST OF REHAB SERVICES ......................................................................
ALTA BATES MEDICAL CENTER ...............................................................................................
ALTOONA HOSPITAL ..................................................................................................................
ALTOONA REGIONAL HEALTH SYSTEM ..................................................................................
ALTRU REHABILITATION CENTER ............................................................................................
ALVARADO HOSPITAL MEDICAL CENTER INC. ......................................................................
AMSTERDAM MEMORIAL HOSPITAL ........................................................................................
16:45 May 24, 2005
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Frm 00122
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E:\FR\FM\25MYP2.SGM
25MYP2
26470
39560
19000
24230
42420
14141
14141
19160
05000
02020
33000
14141
05200
52500
39010
17000
36770
39420
05000
39120
39120
35170
05470
33380
FY 06
MSA
code
3760
6160
3880
24
8140
1600
1600
0760
5775
0380
0160
1600
4480
6600
6280
17
1320
7560
5775
0280
0280
2985
7320
0160
FY 06
CBSA
code
28140
37964
19
24
44940
16974
16974
12940
36084
11260
10580
16974
31084
39540
38300
17
15940
42540
36084
11020
11020
24220
41740
33
30309
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
TABLE 3.—INPATIENT REHABILITATION FACILITIES WITH CORRESPONDING STATE AND COUNTY LOCATION; CURRENT
LABOR MARKET AREA DESIGNATION; AND PROPOSED NEW CBSA-BASED LABOR MARKET AREA DESIGNATION—Continued
Provider
number
01T036
393051
423029
04T039
39T163
11T115
15T074
49T018
52T193
52T102
52T035
52T064
43T016
43T012
43T014
45T280
313030
15T089
043026
45T058
10T008
25T141
18T130
45T346
25T034
04T036
18T080
44T133
44T147
36T019
02T008
193058
19T065
04T027
23T041
08T004
45T137
453036
45T079
45T097
27T012
33T204
36T153
52T100
33T224
15T088
193070
36T170
22T046
33T169
36T179
01T104
10T213
14T015
23T135
193052
42T023
37T105
26T068
23T117
22T031
26T009
23T151
06T027
39T076
45T072
07T010
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
VerDate jul<14>2003
SSA
State and
county
code
Provider name
ANDALUSIA REGIONAL HOSPITAL ...........................................................................................
ANGELA JANE PAVILION ............................................................................................................
ANMED HEALTHSOUTH REHABILITATION HOSPITAL ............................................................
ARKANSAS METHODIST HOSPITAL ..........................................................................................
ARMSTRONG COUNTY MEMORIAL HOSPITAL .......................................................................
ATLANTA MEDICAL CENTER .....................................................................................................
AUGUST F. HOOK REHAB CENTER ..........................................................................................
AUGUSTA MEDICAL CENTER ....................................................................................................
AURORA BAYCARE MEDICAL CENTER ....................................................................................
AURORA LAKELAND MEDICAL CENTER REHAB UNIT ...........................................................
AURORA SHEBOYGAN MEMORIAL MEDICAL CENTER REHAB UNI .....................................
AURORA SINAI MEDICAL CENTER ...........................................................................................
AVERA MCKENNAN HOSPITAL ..................................................................................................
AVERA SACRED HEART HOSPITAL ..........................................................................................
AVERA ST. LUKE’S ......................................................................................................................
BACHARACH INSTITUTE FOR REHABILITATION .....................................................................
BALL MEMORIAL HOSPITAL-REHAB .........................................................................................
BAPTIST HEALTH REHABILITATION INSTITUTE ......................................................................
BAPTIST HEALTH SYSTEM ........................................................................................................
BAPTIST HOSPITAL DAVIS CTR FOR REHABILITATION ........................................................
BAPTIST HOSPITAL DESOTO ....................................................................................................
BAPTIST HOSPITAL EAST ..........................................................................................................
BAPTIST HOSPITALS OF SOUTHEAST TEXAS ........................................................................
BAPTIST MEMORIAL HOSPITAL NORTH MISSISSIPPI ............................................................
BAPTIST MEMORIAL MED CENTER, NO LITTLE ROCK ..........................................................
BAPTIST REGIONAL MEDICAL CENTER ...................................................................................
BAPTIST REHAB CENTER ..........................................................................................................
BAPTIST REHABILITATION GERMANTOWN .............................................................................
BARBERTON CITIZENS HOSPITAL ............................................................................................
BARTLETT REGIONAL HOSPITAL .............................................................................................
BASTROP REHABILITATION HOSPITAL ....................................................................................
BATON ROUGE GENERAL MEDICAL CENTER ........................................................................
BAXTER REGIONAL MEDICAL CENTER ...................................................................................
BAY MEDICAL CENTER FOR REHABILITATION .......................................................................
BAYHEALTH MEDICAL CENTER ................................................................................................
BAYLOR ALL SAINTS MEDICAL CENTER OF FORT WORTH .................................................
BAYLOR INSTITUTE FOR REHABILITATION AT GASTON ......................................................
BAYLOR MEDICAL CENTER .......................................................................................................
BAYLOR MEDICAL CENTER AT GARLAND ..............................................................................
BAYSHORE MEDICAL CENTER .................................................................................................
BELLEVUE HOSPITAL CENTRE .................................................................................................
BELMONT COMMUNITY HOSPITAL ...........................................................................................
BELOIT MEMORIAL HOSPITAL ..................................................................................................
BENEDICTINE HOSPITAL ...........................................................................................................
BENEFIS HEALTHCARE ..............................................................................................................
BENNETT REHAB CENTER SAINT JOHN’S HEALTH SYSTEM ...............................................
BENTON REHABILITATION HOSPITAL ......................................................................................
BERGER HEALTH SYSTEM ........................................................................................................
BERKSHIRE MEDICAL CENTER .................................................................................................
BETH ISRAEL MEDICAL CENTER ..............................................................................................
BETHESDA NORTH HOSPITAL ..................................................................................................
BIRMINGHAM BAPT MED CNTR MONTCLAIR SNU .................................................................
BLAKE MEDICAL CENTER ..........................................................................................................
BLESSING HOSPITAL ..................................................................................................................
BOGALUSA COMMUNITY REHABILITAION HOSPITAL ............................................................
BON SECOUR ST. FRANCIS INPATIENT REHAB CENTER .....................................................
BONE AND JOINT HOSPITAL REHAB CENTER .......................................................................
BOONE HOSPITAL CENTER .......................................................................................................
BORGESS-PIPP HEALTH CENTER ............................................................................................
BOSTON MED CTR CORP/UNIVE HOSP CAMPUS ..................................................................
BOTHWELL REGIONAL HEALTH CENTER ................................................................................
BOTSFORD GENERAL HOSPITAL .............................................................................................
BOULDER COMMUNITY HOSPITAL ...........................................................................................
BRANDYWINE HOSPITAL ...........................................................................................................
BRAZOSPORT MEMORIAL HOSPITAL ......................................................................................
BRIDGEPORT HOSPITAL ............................................................................................................
BROADWAY METHODIST REHAB ..............................................................................................
16:45 May 24, 2005
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Frm 00123
Fmt 4701
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E:\FR\FM\25MYP2.SGM
25MYP2
01190
39620
42030
04270
39070
11470
15480
49891
52040
52630
52580
52390
43490
43670
43060
31000
15170
04590
45130
10120
25160
18550
45700
25350
04590
18990
44180
44780
36780
02110
19330
19160
04020
23080
08000
45910
45390
45390
45390
45610
33420
36060
52520
33740
27060
15470
19160
36660
22010
33420
36310
01360
10400
14000
19580
42220
37540
26090
23380
22160
26790
23620
06060
39210
45180
07010
15440
FY 06
MSA
code
01
6160
3160
04
39
0520
3480
49
3080
52
7620
5080
7760
43
43
1920
0560
5280
4400
7240
5000
4920
4520
0840
25
4400
18
5360
4920
0080
02
19
0760
04
6960
2190
2800
1920
1920
3360
3040
5600
9000
3620
33
3480
0760
1840
6323
5600
1640
1000
7510
14
2160
19
3160
5880
1740
3720
1123
26
2160
1125
6160
1145
3283
FY 06
CBSA
code
01
37964
11340
04
38300
12060
26900
49
24580
52
43100
33340
43620
43
43
19124
12100
34620
30780
41700
33124
32820
31140
13140
25
30780
18
34980
32820
10420
02
19
12940
04
13020
20100
23104
19124
19124
26420
24500
35644
48540
27500
28740
11300
12940
18140
38340
35644
17140
13820
42260
14
19804
19
24860
36420
17860
28020
14484
26
47644
14500
37964
26420
25540
30310
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
TABLE 3.—INPATIENT REHABILITATION FACILITIES WITH CORRESPONDING STATE AND COUNTY LOCATION; CURRENT
LABOR MARKET AREA DESIGNATION; AND PROPOSED NEW CBSA-BASED LABOR MARKET AREA DESIGNATION—Continued
Provider
number
15T132
37T176
14T127
23T190
103039
01T139
05T144
39T166
45T587
33T314
28T003
34T147
393025
45T231
33T279
22T001
333028
39T160
33T133
19T190
26T057
26T047
183026
49T024
14T091
39T058
32T063
42T091
03T011
03T010
293029
33T263
053027
34T143
30T034
33T386
33T307
39T246
44T161
05T625
05T240
04T014
17T033
20T024
39T012
06T015
03T016
45T035
45T237
19T185
39T151
51T022
343026
44T162
23T259
30T019
393032
26T180
45T573
19T041
45T046
453065
19T019
45T709
19T027
38T047
05T369
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
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.....
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.....
.....
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VerDate jul<14>2003
SSA
State and
county
code
Provider name
BROKEN ARROW REHABILITATION ..........................................................................................
BROMENN REGIONAL MEDICAL CENTER ...............................................................................
BRONSON VICKSBURG HOSPITAL ...........................................................................................
BROOKS REHABILITATION HOSPITAL .....................................................................................
BROOKWOOD MEDICAL CENTER .............................................................................................
BROTMAN MEDICAL CENTER ...................................................................................................
BROWNSVILLE GENERAL HOSPITAL .......................................................................................
BROWNWOOD REGIONAL MEDICAL CENTER ........................................................................
BRUNSWICK HOSPITAL ..............................................................................................................
BRYANLGH MEDICAL CENTER WEST ......................................................................................
BRYANT T. ALDRIDGE REHABILITATION CENTER .................................................................
BRYN MAWR REHABILITATION HOSPITAL ..............................................................................
BSA HEALTH SYSTEM ................................................................................................................
BUFFALO MERCY REHABILITATION UNIT ...............................................................................
BURBANK REHABILITATION CENTER ......................................................................................
BURKE REHABILIATION HOSPITAL ...........................................................................................
CABRINI MEDICAL CENTER .......................................................................................................
CALDWELL MEMORIAL HOSPITAL ............................................................................................
CAMERON REGIONAL MEDICAL CTR .......................................................................................
CANONSBURG GENERAL HOSPITAL .......................................................................................
CAPITAL REGION MEDICAL CENTER .......................................................................................
CARDINAL HILL REHABILITATION HOSPITAL ..........................................................................
CARILION HEALTH SYSTEM ......................................................................................................
CARLE FOUNDATION HOSPITAL ...............................................................................................
CARLISLE REGIONAL MEDICAL CENTER ................................................................................
CARLSBAD MEDICAL CENTER ..................................................................................................
CAROLINAS HOSPITAL SYSTEM ...............................................................................................
CARONDELET ST JOSEPHS HOSPITAL ...................................................................................
CARONDELET ST MARYS HOSPITAL .......................................................................................
CARSON REHABILITATION CENTER ........................................................................................
CARTHAGE AREA HOSPITAL .....................................................................................................
CASA COLINA HOSP FOR REHAB MEDICINE ..........................................................................
CATAWBA VALLEY MEDICAL CENTER .....................................................................................
CATHOLIC MEDICAL CENTER ...................................................................................................
CATSKILL REGIONAL MEDICAL CENTER .................................................................................
CAYUGA MEDICAL CENTER ......................................................................................................
CCMH INPATIENT REHAB ..........................................................................................................
CEDARS-SINAI MEDICAL CENTER ............................................................................................
CENTENNIAL MEDICAL CENTER ...............................................................................................
CENTINELA HOSPITAL MEDICAL CENTER ..............................................................................
CENTRAL ARKANSAS HOSPITAL ..............................................................................................
CENTRAL KANSAS MEDICAL CENTER .....................................................................................
CENTRAL MAINE REHABILITATION CENTER ..........................................................................
CENTRAL MONTGOMERY MEDICAL CENTER .........................................................................
CENTURA HEALTH-ST. ANTHONY CENTRAL HOSPITAL .......................................................
CGRMC ACUTE REHABILITATION UNIT ...................................................................................
CHALMETTE MEDICAL CENTER ................................................................................................
CHAMBERSBURG HOSPITAL .....................................................................................................
CHARLESTON AREA MED CNTR ...............................................................................................
CHARLOTTE INSTITUTE OF REHABILITATION ........................................................................
CHATTANOOGA ...........................................................................................................................
CHELSEA COMMUNITY HOSPITAL ...........................................................................................
CHESHIRE MEDICAL CENTER ...................................................................................................
CHESTNUT HILL REHABILITATION HOSPITAL ........................................................................
CHNE REHAB ...............................................................................................................................
CHRISTUS JASPER MEMORIAL HOSPITAL ..............................................................................
CHRISTUS SANTA ROSA HOSPITAL .........................................................................................
CHRISTUS SCHUMPERT HEALTH SYSTEM .............................................................................
CHRISTUS SPOHN HOSPITAL SHORELINE .............................................................................
CHRISTUS ST MICHAEL REHAB HOSPITAL .............................................................................
CHRISTUS ST. FRANCES CABRINI HOSPITAL ........................................................................
CHRISTUS ST. JOHN ..................................................................................................................
CHRISTUS ST. JOSEPH HOSPITAL ...........................................................................................
CHRISTUS ST. PATRICK HOSPITAL ..........................................................................................
CHS,INC DBA ST CHARLES MEDICAL CTR .............................................................................
CITRUS VALLEY MEDICAL CENTER-VQ CAMPUS ..................................................................
CJW INPATIENT REHAB .............................................................................................................
16:45 May 24, 2005
Jkt 205001
PO 00000
Frm 00124
Fmt 4701
Sfmt 4702
E:\FR\FM\25MYP2.SGM
25MYP2
37710
14650
23380
10150
01360
05200
39330
45220
33700
28540
34630
39210
45860
33240
22170
33800
33420
19100
26240
39750
26250
18330
49801
14090
39270
32070
42200
03090
03090
29120
33330
05200
34170
30050
33710
33730
39640
05200
44180
05200
04720
17040
20000
39560
06150
03100
19430
39350
51190
34590
44320
23800
30020
39620
26940
45690
45130
19080
45830
45170
19390
45610
45610
19090
38080
05200
49791
FY 06
MSA
code
2960
8560
1040
3720
3600
1000
4480
6280
45
5380
4360
6895
6160
0320
1280
1123
5600
6280
5600
19
3760
26
4280
6800
1400
3240
32
2655
8520
8520
29
33
4480
3290
1123
33
33
39
5360
4480
4480
04
17
4243
6160
2080
6200
3360
7240
5560
39
1480
1520
1560
0440
30
6160
7040
45
7680
1880
8360
0220
3360
3960
38
4480
FY 06
CBSA
code
23844
46140
14060
28020
27260
13820
31084
38300
45
35004
30700
40580
37964
11100
15380
49340
35644
38300
35644
19
28140
27620
30460
40220
16580
25420
32
22500
46060
46060
16180
33
31084
25860
31700
33
27060
39
34980
31084
31084
04
17
30340
37964
19740
38060
26420
41700
35380
39
16620
16740
16860
11460
30
37964
41180
45
43340
18580
45500
10780
26420
29340
13460
31084
30311
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
TABLE 3.—INPATIENT REHABILITATION FACILITIES WITH CORRESPONDING STATE AND COUNTY LOCATION; CURRENT
LABOR MARKET AREA DESIGNATION; AND PROPOSED NEW CBSA-BASED LABOR MARKET AREA DESIGNATION—Continued
Provider
number
49T112
45T617
33T211
49T060
36T175
36T172
34T131
11T164
45T299
42T030
06T044
05T469
52T140
26T178
15T112
37T056
33T159
05T188
36T187
36R327
36T121
15T125
27T023
52T103
23T078
193080
33T196
453085
05T329
453055
45T040
23T070
16T067
26T040
05T008
39T110
04T042
23T254
44T175
26T198
193088
39T180
34T008
39T233
07T033
05T729
49T075
19T003
15T061
46T041
36T038
37T032
15T019
11T076
03T093
45T646
39T081
25T082
45T634
06T011
49T011
26T176
05T243
45T147
19T115
11T177
19T191
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
.....
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VerDate jul<14>2003
SSA
State and
county
code
Provider name
CL ..................................................................................................................................................
CLAXTON-HEPBURN MEDICAL CENTER ..................................................................................
CLINCH VALLEY MEDICAL CENTER .........................................................................................
CLINTON MEMORIAL HOSPITAL ...............................................................................................
COASTAL REHABILITATION CTR ..............................................................................................
COLISEUM REHABILITATION CENTER .....................................................................................
COLLEGE STATION MEDICAL CENTER ....................................................................................
COLLETON MEDICAL CENTER ..................................................................................................
COLORADO PLAINS MEDICAL CTR ..........................................................................................
COLORADO RIVER MEDICAL CENTER .....................................................................................
COLUMBIA HOSPITAL .................................................................................................................
COLUMBIA REGIONAL HOSPITAL .............................................................................................
COLUMBUS REGIONAL HOSPITAL ...........................................................................................
COMANCHE COUNTY MEMORIAL HOSPITAL ..........................................................................
COMMUNITY GENERAL HOSPITAL PM&R ...............................................................................
COMMUNITY HEALTH PARTNERS OF OH-WEST ....................................................................
COMMUNITY HOSPITAL LOS GATOS .......................................................................................
COMMUNITY HOSPITAL OF SPRINGFIELD ..............................................................................
COMMUNITY HOSPITAL/WELLNESS CTRS MONTPELI ..........................................................
COMMUNITY HOSPITALS OF WILLIAMS COUNTY ..................................................................
COMMUNITY HOSPTIAL .............................................................................................................
COMMUNITY MEDICAL CENTER ...............................................................................................
COMMUNITY MEMORIAL HOSPITAL .........................................................................................
COMMUNITY REHABILITATION CENTER ..................................................................................
COMMUNITY REHABILITATION HOSPITAL OF COUSHATTA .................................................
CONEY ISLAND HOSPITAL .........................................................................................................
CORNERSTONE REHABILITATION HOSPITAL .........................................................................
CORONA REGINAL MEDICAL CENTER .....................................................................................
CORPUS CHRISTI WARM SPGS REHAB HOSP .......................................................................
COTTAGE HOSPITAL ..................................................................................................................
COVENANT HEALTH SYSTEM ...................................................................................................
COVENANT HEALTHCARE .........................................................................................................
COVENANT MEDICAL CENTER .................................................................................................
COX HEALTH SYSTEMS .............................................................................................................
CPMC REGIONAL REHABILITATION CENTER .........................................................................
CRICHTON REHABILITATION CENTER .....................................................................................
CRITTENDEN MEMORIAL HOSPITAL ........................................................................................
CRITTENTON REHABCENTRE ...................................................................................................
CROCKETT HOSPITAL REHAB ..................................................................................................
CROSSROADS REGIONAL MEDICAL CENTER ........................................................................
CROWLEY REHAB HOSP, LLC ...................................................................................................
CROZER CHESTER MEDICAL CENTER ....................................................................................
CTR FOR REHAB SCOTLAND MEMORIAL HOSPIT .................................................................
CTR. FOR ACUTE REHABILITATIVE MEDICINE AT HANOVER ..............................................
DANBURY HOSPITAL ..................................................................................................................
DANIEL FREEMAN .......................................................................................................................
DANVILLE REGIONAL MEDICAL CENTER ................................................................................
DAUTERIVE HOSPITAL ...............................................................................................................
DAVIESS COMMUNITY HOSPITAL .............................................................................................
DAVIS HOSPITAL AND MEDICAL CENTER ...............................................................................
DEACONESS HOSPITAL .............................................................................................................
DEACONESS HOSPITAL .............................................................................................................
DEACONESS ST. JOSEPHS .......................................................................................................
DEKALB MEDICAL CENTER REHABILITATION ........................................................................
DEL E. WEBB MEMORIAL HOSPITAL ........................................................................................
DEL SOL MEDICAL CENTER ......................................................................................................
DELAWARE COUNTY MEMORIAL HOSPITAL ...........................................................................
DELTA REGIONAL MEDICAL CENTER ......................................................................................
DENTON REGIONAL MEDICAL CENTER ..................................................................................
DENVER HEALTH MEDICAL CENTER .......................................................................................
DEPAUL CENTER FOR PHYSICAL REHABILITATION ..............................................................
DES PERES HOSPITAL ...............................................................................................................
DESERT REGIONAL MEDICAL CENTER ...................................................................................
DETAR HOSPITAL .......................................................................................................................
DOCTORS HOSPITAL ..................................................................................................................
DOCTORS HOSPITAL OF OPELOUSAS ....................................................................................
DOCTORS HOSPITAL OF SHREVEPORT .................................................................................
16:45 May 24, 2005
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E:\FR\FM\25MYP2.SGM
25MYP2
45610
33630
49920
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34240
11090
45190
42140
06430
05460
52390
26090
15020
37150
33520
36480
05530
36110
36870
36870
15440
27310
52660
23100
19400
33331
45650
05430
45830
23810
45770
23720
16060
26380
05480
39160
04170
23730
44490
26910
19000
39290
34820
39800
07000
05200
49241
19220
15130
46050
36310
37540
15180
11370
03060
45480
39290
25750
45410
06150
49641
26940
05430
45948
11840
19480
19080
FY 06
MSA
code
6760
3360
33
49
36
1680
34
4680
1260
42
06
6780
5080
1740
15
4200
8160
7400
2000
36
36
2960
5140
5080
0870
19
5600
4880
6780
1880
4600
6960
8920
7920
7360
3680
4920
2160
44
7040
3880
6160
34
9280
5483
4480
1950
19
15
7160
1640
5880
15
0520
6200
2320
6160
25
1920
2080
5720
7040
6780
8750
7680
0600
3880
FY 06
CBSA
code
40060
26420
33
49
36
17460
34
31420
17780
42
06
40140
33340
17860
18020
30020
45060
41940
44220
36
36
23844
33540
33340
35660
19
35644
32580
40140
18580
31180
40980
47940
44180
41884
27780
32820
47644
44
41180
19
37964
34
49620
14860
31084
19260
19
15
36260
17140
36420
15
12060
38060
21340
37964
25
19124
19740
47260
41180
40140
47020
43340
12260
19
30312
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
TABLE 3.—INPATIENT REHABILITATION FACILITIES WITH CORRESPONDING STATE AND COUNTY LOCATION; CURRENT
LABOR MARKET AREA DESIGNATION; AND PROPOSED NEW CBSA-BASED LABOR MARKET AREA DESIGNATION—Continued
Provider
number
36T151
05T242
39T203
46T021
39T086
34T155
23T230
19T146
453072
01T011
20T033
39T162
333029
45T119
36T241
14T208
03T080
15T018
39T289
33T128
11T010
05T158
05T039
45T833
39T225
33T219
19T078
39T013
14T010
50T124
36T072
223029
36T077
11T125
28T125
10T236
33T044
15T064
36T025
34T115
47T003
10T068
10T007
36T074
11T054
39T267
26T021
25T078
36T132
10T223
453041
26T137
52T004
18T040
17T074
52T177
34T116
36T194
23T244
05T432
44T035
14T125
183031
183030
33T058
393047
39T270
.....
.....
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.....
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VerDate jul<14>2003
SSA
State and
county
code
Provider name
DOCTORS HOSPITAL OF STARK COUNTY ..............................................................................
DOMINICAN HOSPITAL ...............................................................................................................
DOYLESTOWN HOSPITAL ..........................................................................................................
DRMC ACUTE REHABILITATION ................................................................................................
DUBOIS REGNL MED CNTR .......................................................................................................
DURHAM REGIONAL HOSPITAL ................................................................................................
E W SPARROW INPATIENT REHAB ..........................................................................................
EAST JEFFERSON GENERAL HOSPITAL .................................................................................
EAST TEXAS MED CTR REHAB HOSP .....................................................................................
EASTERN HEALTH REHAB CENTER, MCE ..............................................................................
EASTERN MAINE MEDICAL CENTER ........................................................................................
EASTON HOSPITAL .....................................................................................................................
EDDY COHOES REHABILITATION CTR ....................................................................................
EDINBURG REGIONAL MEDICAL ...............................................................................................
EDWIN SHAW REHABILITATION HOSPITAL .............................................................................
EHS CHRIST HOSPITAL & MEDICAL CENTER .........................................................................
EL DORADO HOSPITAL ..............................................................................................................
ELKHART GENERAL HEALTHCARE SYSTEMS ........................................................................
ELKINS PARK HOSPITAL ............................................................................................................
ELMHURST HOSPITAL CENTER ................................................................................................
EMORY HOSPITAL CTR FOR REHAB .......................................................................................
ENCINO-TARZANA REGIONAL MEDICAL CENTER ..................................................................
ENLOE MEDICAL CENTER .........................................................................................................
ENNIS REGIONAL MEDICAL CENTER .......................................................................................
EPHRATA COMMUNITY HOSPITAL ...........................................................................................
ERIE COUNTY MEDICAL CENTER .............................................................................................
EUNICE COMMUNITY MEDICAL CENTER ................................................................................
EVANGELICAL COMMUNITY HOSPITAL ...................................................................................
EVANSTON NORTHWESTERN HEALTHCARE .........................................................................
EVERGREEN HEALTHCARE .......................................................................................................
FAIRFIELD MEDICAL CENTER ...................................................................................................
FAIRLAWN REHABILITATION HOSPITAL ..................................................................................
FAIRVIEW HOSPITAL ..................................................................................................................
FAIRVIEW PARK HOSPITAL .......................................................................................................
FAITH REGIONAL HEALTH SERVICES ......................................................................................
FAWCETT MEMORIAL HOSPITAL ..............................................................................................
FAXTON-ST. LUKES HEALTHCARE ...........................................................................................
FAYETTE MEMORIAL HOSPITAL ...............................................................................................
FIRELANDS REGIONAL MEDICAL CENTER .............................................................................
FIRSTHEALTH MOORE REGIONAL HOSPITAL ........................................................................
FLETCHER ALLEN HEALTH CARE ............................................................................................
FLORIDA HOSPITAL ORMOND DIVISION .................................................................................
FLORIDA HOSPITAL REHABILITATION AND SPORTS MEDICIN ............................................
FLOWER REHABILITATION CENTER ........................................................................................
FLOYD MEDICAL CENTER .........................................................................................................
FORBES REGIONAL HOSPITAL .................................................................................................
FOREST PARK .............................................................................................................................
FORREST GENERAL HOSPITAL REHAB UNIT .........................................................................
FORT REHABILITATION CENTER ..............................................................................................
FORT WALTON BEACH MEDICAL CENT ..................................................................................
FORT WORTH REHABILITATION HOSPITAL ............................................................................
FR ..................................................................................................................................................
FRANCISCAN SKEMP MEDICAL CENTER REHAB ...................................................................
FRAZIER REHAB INSTITUTE ......................................................................................................
FRED C BRAMLAGE INPATIENT REHABILITATION UNIT .......................................................
FROEDTERT MEMORIAL LUTHERAN HOSPITAL .....................................................................
FRYE REGIONAL MEDICAL CENTER ........................................................................................
GALION COMMUNITY HOSPITAL ...............................................................................................
GARDEN CITY HOSPITAL ...........................................................................................................
GARFIELD MEDICAL CENTER ...................................................................................................
GATEWAY MEDICAL CENTER ...................................................................................................
GATEWAY REGIONAL MEDICAL CENTER ................................................................................
GATEWAY REHAB HOSPITAL ....................................................................................................
GATEWAY REHABILITATION HOSPITAL ...................................................................................
GE .................................................................................................................................................
GEISINGER HEALTHSOUTH REHABILITATION HOSPITAL .....................................................
GEISINGER WYOMING VALLEY MEDICAL CENTER ...............................................................
16:45 May 24, 2005
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25MYP2
36770
05540
39140
46260
39230
34310
23320
19250
45892
01360
20090
39590
33000
45650
36780
14141
03090
15190
39560
33590
11370
05200
05030
45470
39440
33240
19480
39720
14141
50160
36230
22170
36170
11660
28590
10070
33510
15200
36220
34620
47030
10630
10470
36490
11460
39010
26950
25170
36080
10450
45910
26480
52310
18550
17300
52390
34170
36160
23810
05200
44620
14680
18550
18070
33530
39580
39480
FY 06
MSA
code
1320
7485
6160
46
39
6640
4040
5560
8640
1000
0733
0240
0160
4880
0080
1600
8520
2330
6160
5600
0520
4480
1620
1920
4000
1280
3880
39
1600
7600
1840
1123
1680
11
28
6580
8680
15
36
34
1303
2020
5960
8400
11
6280
7040
3285
3200
2750
2800
3710
3870
4520
17
5080
3290
4800
2160
4480
1660
7040
4520
1640
6840
39
7560
FY 06
CBSA
code
15940
42100
37964
41100
39
20500
29620
35380
46340
13820
12620
10900
10580
32580
10420
16974
46060
21140
37964
35644
12060
31084
17020
19124
29540
15380
19
39
16974
42644
18140
49340
17460
11
28
39460
46540
15
41780
34
15540
19660
36740
45780
40660
38300
41180
25620
17140
23020
23104
27900
29100
31140
17
33340
25860
36
19804
31084
17300
41180
31140
17140
40380
39
42540
30313
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
TABLE 3.—INPATIENT REHABILITATION FACILITIES WITH CORRESPONDING STATE AND COUNTY LOCATION; CURRENT
LABOR MARKET AREA DESIGNATION; AND PROPOSED NEW CBSA-BASED LABOR MARKET AREA DESIGNATION—Continued
Provider
number
36T039
16T033
23T197
373026
45T191
11T087
05T239
05T058
33T191
19T160
26T175
05T471
15T042
28T009
36T134
50T079
14T046
03T002
39T031
45T037
393035
393050
24T064
36T133
36T017
23T030
16T057
09T008
363032
36T026
05T026
45T104
45T214
52T087
39T185
513028
23T066
36T137
50T064
33T240
45T289
45T135
45T639
07T025
03T069
17T013
18T029
013028
23T275
053031
223027
443030
113027
213028
103040
393027
013025
033025
513030
393039
183027
393040
423027
453047
043032
453044
183028
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VerDate jul<14>2003
SSA
State and
county
code
Provider name
GENESIS HEALTH CARE SYSTEM ............................................................................................
GENESIS MEDICAL CENTER .....................................................................................................
GENESYS REGIONAL MEDICAL CTR ........................................................................................
GEORGE NIGH REBABILITATION CTR .....................................................................................
GEORGETOWN HEALTHCARE SYSTEM ..................................................................................
GLANCY ........................................................................................................................................
GLENDALE ADVENTIST MEDICAL CENTER .............................................................................
GLENDALE MEMORIAL HOSPITAL ............................................................................................
GLENS FALLS HOSPITAL ...........................................................................................................
GLENWOOD REHABILITATION CENTER ..................................................................................
GOLDEN VALLEY MEMORIAL HO INPATIENT REHAB FACILITY ...........................................
GOOD SAMARITAN HOSPITAL ..................................................................................................
GOOD SAMARITAN HOSPITAL ..................................................................................................
GOOD SAMARITAN HOSPITAL ..................................................................................................
GOOD SAMARITAN HOSPITAL ..................................................................................................
GOOD SAMARITAN HOSPITAL ..................................................................................................
GOOD SAMARITAN REGIONAL HEALTH CENTER ..................................................................
GOOD SAMARITAN REHABILITATION INSTITUTE ...................................................................
GOOD SAMARITAN-STINE ACUTE REHAB ...............................................................................
GOOD SHEPHERD MEDICAL CENTER .....................................................................................
GOOD SHEPHERD REHABILITATION HOSPITAL .....................................................................
GOOD SHEPHERD REHABILITATION HOSPITAL .....................................................................
GRAND ITASCA CLINIC & HOSPITAL ........................................................................................
GRANDVIEW MEDICAL CENTER ...............................................................................................
GRANT/RIVERSIDE METHODIST HOSPITALS ..........................................................................
GRATIOT COMMUNITY HOSPITAL ............................................................................................
GREAT RIVER MEDICAL CENTER .............................................................................................
GREATER SOUTHEAST COMMUNITY HOSPITAL ....................................................................
GREENBRIAR REHABILITATION HOSPITAL .............................................................................
GREENE MEMORIAL HOSPITAL ................................................................................................
GROSSMONT HOSPITAL SHARP ..............................................................................................
GUADALUPE VALLEY HOSPITAL ...............................................................................................
GULF COAST MEDICAL CENTER ..............................................................................................
GUNDERSEN LUTHERAN MEDICAL CENTER,INC. ..................................................................
GUNDERSON REHABILITATION CENTER ................................................................................
H/S REHAB HOSPITAL OF HUNTINGTON .................................................................................
HACKLEY HOSPITAL ...................................................................................................................
HANNA HOUSE INPATIENT REHAB CENTER ..........................................................................
HARBORVIEW MEDICAL CENTER .............................................................................................
HARLEM HOSPITAL/COLUMBIA UNIVERSITY ..........................................................................
HARRIS COUNTY HOSPITAL DISTRICT ....................................................................................
HARRIS METHODIST FORT WORTH .........................................................................................
HARRIS METHODIST HEB ..........................................................................................................
HARTFORD HOSPITAL ................................................................................................................
HAVASU REGIONAL MEDICAL CENTER ...................................................................................
HAYS MEDICAL CENTER ............................................................................................................
HAZARD ARH REGIONAL MEDICAL CENTER ..........................................................................
HEALTH SOUTH REHAB HOSPITAL OF MONTGOMERY ........................................................
HEALTHSOURCE SAGINAW .......................................................................................................
HEALTHSOUTH BAKERSFIELD REHAB HOSPITAL .................................................................
HEALTHSOUTH BRAINTREE REHAB HOSPITAL .....................................................................
HEALTHSOUTH CANE CREEK REHAB HOSPITAL ..................................................................
HEALTHSOUTH CENTRAL GA REHAB HOSPITAL ...................................................................
HEALTHSOUTH CHESAPEAKE REHAB HOSPITAL ..................................................................
HEALTHSOUTH EMERALD COAST REHABILITATION HOSPITAL ..........................................
HEALTHSOUTH HARMARVILLE REHABILITATION HOSPITAL ...............................................
HEALTHSOUTH LAKESHORE REHABILITATION HOSPITAL ...................................................
HEALTHSOUTH MERIDIAN POINT REHAB HOSP ....................................................................
HEALTHSOUTH MOUNTAINVIEW REGIONAL REHAB HOSPITAL ..........................................
HEALTHSOUTH NITTANY VALLEY REHABILITATION HOSPITAL ...........................................
HEALTHSOUTH NORTHERN KENTUCKY REHABILITATION ...................................................
HEALTHSOUTH OF ALTOONA, INC ...........................................................................................
HEALTHSOUTH OF CHARLESTON, INC ...................................................................................
HEALTHSOUTH PLANO REHABILITATION HOSP ....................................................................
HEALTHSOUTH REHAB HOSP IN PART WITH RE ...................................................................
HEALTHSOUTH REHAB HOSP OF AUSTIN ..............................................................................
HEALTHSOUTH REHAB HOSP OF CENTRAL KY .....................................................................
16:45 May 24, 2005
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E:\FR\FM\25MYP2.SGM
25MYP2
36610
16810
23240
37550
45970
11530
05200
05200
33750
19360
26410
05200
15410
28090
36310
50260
14490
03060
39650
45570
39470
39590
24300
36580
36250
23280
16280
09000
36510
36290
05470
45581
45954
52310
39480
51050
23600
36170
50160
33420
45610
45910
45910
07010
03070
17250
18960
01500
23720
05140
22130
44910
11090
21220
10020
39010
01360
03060
51300
39200
18580
39120
42170
45310
04710
45940
18460
FY 06
MSA
code
36
1960
2640
37
0640
0520
4480
4480
2975
5200
26
4480
15
28
1640
8200
14
6200
39
4420
0240
0240
24
2000
1840
23
16
8840
9320
2000
7320
7240
45
3870
7560
3400
3000
1680
7600
5600
3360
2800
2800
3283
4120
17
18
5240
6960
0680
1123
44
4680
21
6015
6280
1000
6200
51
8050
1640
0280
1440
1920
2580
0640
18
FY 06
CBSA
code
36
19340
22420
46140
12420
12060
31084
31084
24020
33740
26
31084
15
28
17140
45104
14
38060
39
30980
10900
10900
24
19380
18140
23
16
47894
49660
19380
41740
41700
45
29100
42540
26580
34740
17460
42644
35644
26420
23104
23104
25540
03
17
18
33860
40980
12540
14484
44
31420
41540
37460
38300
13820
38060
34060
44300
17140
11020
16700
19124
22220
12420
21060
30314
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
TABLE 3.—INPATIENT REHABILITATION FACILITIES WITH CORRESPONDING STATE AND COUNTY LOCATION; CURRENT
LABOR MARKET AREA DESIGNATION; AND PROPOSED NEW CBSA-BASED LABOR MARKET AREA DESIGNATION—Continued
Provider
number
063030
423026
013029
103042
223030
033029
103031
103038
453059
393026
103033
453054
453031
033028
393031
393046
423028
443029
153027
393037
013030
043028
103037
153029
303027
323027
403025
443027
453029
453048
443031
193031
453040
423025
043029
293026
313029
453090
393045
453053
453056
463025
493028
013032
453057
293032
103034
193085
45T758
103028
103032
153025
053034
033032
513027
193074
26T006
333027
04T085
45T229
49T118
23T204
23T146
05T624
34T107
45T068
23T120
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VerDate jul<14>2003
SSA
State and
county
code
Provider name
HEALTHSOUTH REHAB HOSP OF COLORADO SPGS ............................................................
HEALTHSOUTH REHAB HOSP OF FLORENCE ........................................................................
HEALTHSOUTH REHAB HOSP OF NORTH ALA .......................................................................
HEALTHSOUTH REHAB HOSP OF SPRING HILL .....................................................................
HEALTHSOUTH REHAB HOSP OF WESTERN MA ...................................................................
HEALTHSOUTH REHAB HOSPITAL ...........................................................................................
HEALTHSOUTH REHAB HOSPITAL ...........................................................................................
HEALTHSOUTH REHAB HOSPITAL OF MIAMI .........................................................................
HEALTHSOUTH REHAB HOSPITAL OF NORTH HOUSTON ....................................................
HEALTHSOUTH REHAB HOSPITAL OF READING ...................................................................
HEALTHSOUTH REHAB HOSPITAL OF TALLHASSEE .............................................................
HEALTHSOUTH REHAB HOSPITAL OF WICHITA FALLS ........................................................
HEALTHSOUTH REHAB INSTITUTE OF SAN ANTONIO ..........................................................
HEALTHSOUTH REHAB INSTITUTE OF TUCSON ....................................................................
HEALTHSOUTH REHAB OF MECHANICSBURG-ACUTE REHAB ............................................
HEALTHSOUTH REHABILITATION HOSPITAL OF ERIE ..........................................................
HEALTHSOUTH REHABILITATION HOSPITAL ..........................................................................
HEALTHSOUTH REHABILITATION CENTER OF MEMPHIS .....................................................
HEALTHSOUTH REHABILITATION HOSP OF KOK ...................................................................
HEALTHSOUTH REHABILITATION HOSP YORK ......................................................................
HEALTHSOUTH REHABILITATION HOSPITAL ..........................................................................
HEALTHSOUTH REHABILITATION HOSPITAL ..........................................................................
HEALTHSOUTH REHABILITATION HOSPITAL ..........................................................................
HEALTHSOUTH REHABILITATION HOSPITAL ..........................................................................
HEALTHSOUTH REHABILITATION HOSPITAL ..........................................................................
HEALTHSOUTH REHABILITATION HOSPITAL ..........................................................................
HEALTHSOUTH REHABILITATION HOSPITAL ..........................................................................
HEALTHSOUTH REHABILITATION HOSPITAL ..........................................................................
HEALTHSOUTH REHABILITATION HOSPITAL ..........................................................................
HEALTHSOUTH REHABILITATION HOSPITAL ..........................................................................
HEALTHSOUTH REHABILITATION HOSPITAL-NORTH ............................................................
HEALTHSOUTH REHABILITATION HOSPITAL OF ALEXANDRIA ............................................
HEALTHSOUTH REHABILITATION HOSPITAL OF ARLINGTON ..............................................
HEALTHSOUTH REHABILITATION HOSPITAL OF COLUMBIA ................................................
HEALTHSOUTH REHABILITATION HOSPITAL OF JONESBORO ............................................
HEALTHSOUTH REHABILITATION HOSPITAL OF LAS VEGAS ..............................................
HEALTHSOUTH REHABILITATION HOSPITAL OF NEW JERSEY ...........................................
HEALTHSOUTH REHABILITATION HOSPITAL OF ODESSA ....................................................
HEALTHSOUTH REHABILITATION HOSPITAL OF SEWICKLEY ..............................................
HEALTHSOUTH REHABILITATION HOSPITAL OF TEXARKANA .............................................
HEALTHSOUTH REHABILITATION HOSPITAL OF TYLER .......................................................
HEALTHSOUTH REHABILITATION HOSPITAL OF UTAH .........................................................
HEALTHSOUTH REHABILITATION HOSPITAL OF VIRGINIA ...................................................
HEALTHSOUTH REHABILITATION OF GADSDEN ....................................................................
HEALTHSOUTH REHABILITATION OF MIDLAND ODESSA .....................................................
HEALTHSOUTH REHABILITIATION HOSPITAL OF HENDERSON ...........................................
HEALTHSOUTH SEA PINES REHABILITATION HOSPITAL ......................................................
HEALTHSOUTH SPECIALTY HOSPITAL ....................................................................................
HEALTHSOUTH SPECIALTY HOSPTIAL, INC. ..........................................................................
HEALTHSOUTH SUNRISE REHABILITATION HOSPITAL .........................................................
HEALTHSOUTH TREASURE COAST REHAB HOSPITAL .........................................................
HEALTHSOUTH TRI-STATE REHABILITATION HOSPITAL ......................................................
HEALTHSOUTH TUSTIN REHABILITATION HOSP ...................................................................
HEALTHSOUTH VALLEY OF THE SUN ......................................................................................
HEALTHSOUTH WESTERN HILLS REGIONAL REHAB HOSPITAL .........................................
HEALTHWEST REHABILITATION HOSPITAL ............................................................................
HEARTLAND REGIONAL MEDICAL CENTER ............................................................................
HELEN HAYES HOSPITAL ..........................................................................................................
HELENA REGIONAL REHABILITATION CENTER ......................................................................
HENDRICK CENTER FOR REHABILITATION ............................................................................
HENRICO DOCTORS HOSPITAL PARHA ..................................................................................
HENRY FORD BI-COUNTY HOSPITAL .......................................................................................
HENRY FORD WYANDOTTE HOSPITAL ...................................................................................
HENRY MAYO NEWHALL MEMORIAL HOSPITAL ....................................................................
HERITAGE HOSPITAL .................................................................................................................
HERMANN HOSPITAL .................................................................................................................
HERRICK MEMORIAL HOSPITAL ...............................................................................................
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45130
03090
39270
39320
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44780
15330
39800
01340
04650
10510
15830
30060
32000
40640
44810
45610
45700
44780
19090
45910
42390
04150
29010
31310
45451
39010
45170
45892
46170
49430
01270
45794
29010
10050
19350
45390
10050
10300
15810
05400
03060
51530
19250
26100
33620
04530
45911
49430
23490
23810
05200
34320
45610
23450
FY 06
MSA
code
1720
2655
3440
8280
8003
8520
7510
5000
3360
6680
8240
9080
7240
8520
3240
2360
1520
4920
3850
9280
2180
2720
8280
8320
1123
0200
7440
3660
3360
0840
4920
3960
2800
1760
3700
4120
5190
5800
6280
8360
8640
7160
6760
2880
5800
4120
2680
5560
1920
2680
10
2440
5945
6200
6020
5560
7000
5600
04
0040
6760
2160
2160
4480
6895
3360
0440
FY 06
CBSA
code
17820
22500
26620
45300
44140
46060
42260
33124
26420
39740
45220
48660
41700
46060
25420
21500
16740
32820
29020
49620
20020
22900
45300
45460
31700
10740
41980
28700
26420
13140
32820
29340
23104
17900
27860
29820
20764
36220
38300
45500
46340
41620
40060
23460
33260
29820
22744
35380
19124
22744
46940
21780
42044
38060
37620
35380
41140
35644
04
10180
40060
47644
19804
31084
40580
26420
23
30315
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
TABLE 3.—INPATIENT REHABILITATION FACILITIES WITH CORRESPONDING STATE AND COUNTY LOCATION; CURRENT
LABOR MARKET AREA DESIGNATION; AND PROPOSED NEW CBSA-BASED LABOR MARKET AREA DESIGNATION—Continued
Provider
number
14T011
34T004
453086
50T011
45T101
37T001
363026
14T122
10T225
10T073
14T133
52T107
36T054
45T236
44T046
33T389
07T001
39T111
04T076
153039
52T091
11T200
05T438
23T132
17T020
133025
13T018
28T081
26T095
14T191
23T167
49T122
45T132
453025
37T106
323029
16T082
15T024
01T157
33T014
10T022
33T127
39T016
37T018
39T080
39T010
04T071
39T265
31T108
37T029
11T038
393036
05T180
44T063
04T002
14T119
36T032
33T005
50T058
05T140
05T073
27T051
173025
17T040
193057
05T057
33T102
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VerDate jul<14>2003
SSA
State and
county
code
Provider name
HERRIN HOSPITAL ......................................................................................................................
HIGH POINT REGIONAL HOSPITAL ...........................................................................................
HIGHLANDS REGIONAL REHABILITATION HOS ......................................................................
HIGHLINE COMMUNITY HOSPITAL ...........................................................................................
HILLCREST BAPTIST MEDICAL CENTER .................................................................................
HILLCREST KAISER REHABILITATION CENTER ......................................................................
HILLSIDE REHABILITATION HOSPITAL .....................................................................................
HINSDALE HOSPITAL—PAULSON REHAB NETWORK ............................................................
HOLLYWOOD MEDICAL CENTER ..............................................................................................
HOLY CROSS HOSPITAL ............................................................................................................
HOLY CROSS HOSPITAL ............................................................................................................
HOLY FAMILY MEMORIAL, INC ..................................................................................................
HOLZER MEDICAL CENTER .......................................................................................................
HOPKINS COUNTY MEMORIAL HOSPITAL ...............................................................................
HORIZON MEDICAL CENTER .....................................................................................................
HOSPITAL FOR JOINT DISEASES .............................................................................................
HOSPITAL OF SAINT RAPHAEL .................................................................................................
HOSPITAL OF UNIV OF PENNSYLVANIA ..................................................................................
HOT SPRING COUNTY MEDICAL CENTER ..............................................................................
HOWARD REGIONAL HEALTH SYSTEM-WEST CAMPUS .......................................................
HOWARD YOUNG MEDICAL CENTER .......................................................................................
HUGHSTON ORTHOPEDIC HOSPITAL ......................................................................................
HUNTINGTON MEMORIAL HOSPITAL .......................................................................................
HURLEY MEDICAL CENTER .......................................................................................................
HUTCHINSON HOSPITAL CORP. ...............................................................................................
IDAHO ELKS REHABILITATION HOSPITAL ...............................................................................
IDAHO REGIONAL MEDICAL CENTER ......................................................................................
IMMANUEL REHABILITATION CENTER .....................................................................................
INDEPENDENCE REGIONAL HEALTH CENTER .......................................................................
INGALLS MEMORIAL HOSPITAL ................................................................................................
INGHAM REGIONAL MEDICAL CENTER ...................................................................................
INOVA REHAB CENTER @ INOVA MOUNT VERNON HOSPITAL ...........................................
INPATIENT REHAB ......................................................................................................................
INSTUTUTE FOR REHAB & RESEARCH,THE ...........................................................................
INTEGRIS SOUTHWEST MEDICAL CENTER ............................................................................
INTERFACE INC DBA LIFECOURSE REHAB SERVICES .........................................................
IOWA METHODIST MEDICAL CENTER .....................................................................................
J.W. SOMMER REHABILIATION UNIT ........................................................................................
JACKSON MEMORIAL HOSPITAL ..............................................................................................
JACOBI MEDICAL CENTER ........................................................................................................
JAMAICA HOSPITAL MEDICAL CENTER ...................................................................................
JAMESON HOSPITAL ..................................................................................................................
JANE PHILLIPS MEMORIAL MEDICAL CENTER .......................................................................
JEANES HOSPITAL ......................................................................................................................
JEANNETTE HOSPITAL ...............................................................................................................
JEFFERSON REGIONAL MEDICAL CENTER ............................................................................
JEFFERSON REGIONAL MEDICAL CENTER ............................................................................
JFK JOHNSON REHAB INSTITUTE ............................................................................................
JIM THORPE REHAB UNIT .........................................................................................................
JOHN D. ARCHBOLD MEMORIAL HOSPITAL ...........................................................................
JOHN HEINZ INST OF REHAB MEDICINE .................................................................................
JOHN MUIR MEDICAL CENTER .................................................................................................
JOHNSON CITY MEDICAL CTR ..................................................................................................
JOHNSON REGIONAL REHABILITATION CENTER ..................................................................
JOHNSTON R. BOWMAN HEALTH CTR. ...................................................................................
JOINT TOWNSHIP DISTRICT MEMORIAL HOSPITAL, REHABIL .............................................
KADLEC MEDICAL CENTER .......................................................................................................
KAISER FOUNDATION HOSPITAL-FONTANA REHAB CENTER .............................................
KAISER MEDICAL CENTER ........................................................................................................
KALEIDA HEALTH ........................................................................................................................
KALISPELL REGIONAL MEDICAL CENTER ...............................................................................
KANSAS REHABILITATION HOSPITAL, INC ..............................................................................
KANSAS UNIVERSITY REHAB ....................................................................................................
KAPLAN REHABILITATION HOSPITAL .......................................................................................
KAWEAH DELTA REHABILITATION HOSPITAL ........................................................................
KENMORE MERCY HOSPITAL ...................................................................................................
KENT COUNTY MEMORIAL HOSPITAL .....................................................................................
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14990
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45480
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14250
10050
10050
14141
52350
36270
45654
44210
33420
07040
39620
04290
15330
52420
11780
05200
23240
17770
13000
13090
28270
26470
14141
23320
49290
45451
45610
37540
32220
16760
01160
10120
33020
33590
39450
37730
39620
39770
04340
39010
31270
37190
11890
39680
05060
44890
04350
14141
36050
50020
05460
05580
33240
27140
17880
17986
19560
05640
33240
41010
FY 06
MSA
code
14
3120
2320
7600
8800
8560
9320
1600
2680
2680
1600
52
36
45
5360
5600
5483
6160
04
3850
52
1800
4480
2640
17
1080
13
5920
3760
1600
4040
8840
5800
3360
5880
32
2120
3480
2650
5600
5000
5600
39
37
6160
6280
6240
6280
5015
37
11
3680
5775
3660
04
1600
4320
1280
6740
6780
8720
27
8440
3760
19
8780
1280
FY 06
CBSA
code
14
24660
21340
42644
47380
46140
49660
16974
22744
22744
16974
52
36
45
34980
35644
35300
37964
04
29020
52
17980
31084
22420
17
14260
26820
36540
28140
16974
29620
47894
36220
26420
36420
22140
19780
26900
22520
35644
33124
35644
39
37
37964
38300
38220
38300
20764
37
11
39
36084
27740
04
16974
36
15380
28420
40140
46700
27
45820
28140
19
47300
15380
30316
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
TABLE 3.—INPATIENT REHABILITATION FACILITIES WITH CORRESPONDING STATE AND COUNTY LOCATION; CURRENT
LABOR MARKET AREA DESIGNATION; AND PROPOSED NEW CBSA-BASED LABOR MARKET AREA DESIGNATION—Continued
Provider
number
41T009
16T008
313025
213029
36T079
03T055
33T202
18T009
33T201
45T775
13T049
05T580
17T120
05T717
19T002
15T096
19T060
18T132
36T098
24T052
23T021
01T064
44T067
36T212
05T581
05T204
39T100
39T061
53T010
373032
19T020
193064
45T029
45T107
05T095
10T246
07T007
17T137
46T010
32T065
49T012
10T084
193086
38T017
34T027
05T060
36T086
49T048
15T006
31T118
36T009
14T207
05T078
44T187
05T336
51T048
05T327
33T225
05T485
33T152
45T702
05T549
14T082
193084
18T102
50R337
50T023
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SSA
State and
county
code
Provider name
KEOKUK AREA HOSPITAL ..........................................................................................................
KESSLER REHAB ........................................................................................................................
KESSLER ADVENTIST REHABILITATION HOSPITAL ...............................................................
KETTERING MEDICAL CENTER .................................................................................................
KINGMAN REGIONAL MEDICAL CENTER .................................................................................
KINGS COUNTY HOSPITAL CENTER ........................................................................................
KING’S DAUGHTER MEDICAL CENTER ....................................................................................
KINGSBROOK JEWISH MEDICAL CENTER ..............................................................................
KINGWOOD MEDICAL CENTER .................................................................................................
KOOTENAI MEDICAL CENTER ...................................................................................................
LA PALMA INTERCOMMUNITY HOSPITAL ................................................................................
LABETTE COUNTY MEDICAL CENTER .....................................................................................
LAC/RANCHO LOS AMIGOS NATIONAL MED CTR ..................................................................
LAFAYETTE GENERAL MEDICAL CENTER ..............................................................................
LAGRANGE COMMUNITY HOSPITAL ........................................................................................
LAKE CHARLES MEMORIAL HOSPITAL ....................................................................................
LAKE CUMBERLAND REGIONAL HOSP ....................................................................................
LAKE HOSPITAL SYSTEM INC ...................................................................................................
LAKE REGION HEALTHCARE CORPORATION .........................................................................
LAKELAND HOSPITAL, ST. JOSEPH .........................................................................................
LAKESHORE CARRAWAY REHABILITATION HOSPITAL .........................................................
LAKEWAY REGIONAL HOSPITAL ..............................................................................................
LAKEWOOD HOSPITAL ...............................................................................................................
LAKEWOOD REGIONAL MEDICAL CENTER .............................................................................
LANCASTER COMMUNITY HOSPITAL .......................................................................................
LANCASTER GENERAL HOSP ...................................................................................................
LANCASTER REGIONAL MEDICAL CENTER ............................................................................
LANDER VALLEY MEDICAL CENTER ........................................................................................
LANE FROST HEALTH AND REHABILITATION CENTER .........................................................
LANE REHABILTATION CENTER ...............................................................................................
LAPLACE REHABILITATION HOSPITAL .....................................................................................
LAPORTE HOSPITAL AND HEALTH SERVICES .......................................................................
LAREDO MEDICAL CENTER .......................................................................................................
LAS PALMAS REHABILITATION HOSP ......................................................................................
LAUREL GROVE HOSPITAL .......................................................................................................
LAWNWOOD REGIONAL MEDICAL CENT .................................................................................
LAWRENCE & MEMORIAL HOSPITAL .......................................................................................
LAWRENCE MEMORIAL HOSPITAL ...........................................................................................
LDS HOSPITAL .............................................................................................................................
LEA REGIONAL MEDICAL CENTER ...........................................................................................
LEE REGIONAL MEDICAL CENTER ...........................................................................................
LEESBURG REGIONAL MEDICAL CENTER ..............................................................................
LEESVILLE REHABILITATION HOSPITAL LLC ..........................................................................
LEGACY GOOD SAMARITAN HOSP & MED CTR .....................................................................
LENOIR MEMORIAL HOSPITAL REHAB UNIT ...........................................................................
LEON S. PETERS REHABILITATION ..........................................................................................
LEVINE REHABILITATION CENTER ...........................................................................................
LEWIS GALE MEDICAL CENTER ...............................................................................................
LIBERTY REHABILITATION INSTITUTE .....................................................................................
LIMA MEMORIAL HEALTH SYSTEM ..........................................................................................
LINCOLN PARK HOSPITAL .........................................................................................................
LITTLE COMPANY OF MARY—SAN PEDRO HOSPITAL REHAB ............................................
LIVINGSTON REGIONAL HOSPITAL ..........................................................................................
LODI MEMORIAL HOSPITAL .......................................................................................................
LOGAN REGIONAL MEDICAL CENTER .....................................................................................
LOMA LINDA UNIVERSITY MEDICAL CENTER .........................................................................
LONG BEACH MEDICAL CENTER ..............................................................................................
LONG BEACH MEMORIAL MEDICAL CENTER .........................................................................
LONG ISLAND COLLEGE HOSPITAL .........................................................................................
LONGVIEW REGIONAL PHYSICAL REHABILITATION ..............................................................
LOS ROBLES HOSPITAL & MEDICAL CENTER ........................................................................
LOUIS A. WEISS MEMORIAL HOSPITAL ...................................................................................
LOUISIANA REHABILIATAION HOSPITAL OF MORGAN CITY L .............................................
LOURDES .....................................................................................................................................
LOURDES MEDICAL CENTER ....................................................................................................
LOURDES MEDICAL CENTER ....................................................................................................
LOYOLA UNIVERSITY MEDICAL CENTER ................................................................................
16:45 May 24, 2005
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25MYP2
16550
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21150
36580
03070
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18090
33331
45610
13270
05400
17490
05400
19270
15430
19090
18972
36440
24550
23100
01360
44310
36170
05200
05200
39440
39440
53060
37110
19160
19350
15450
45953
45480
05000
10550
07050
17220
46170
32120
49520
10340
19570
38250
34530
05090
36110
49838
31230
36010
14141
05200
44660
05490
51220
05460
33400
05200
33331
45570
05660
14141
19500
18720
50100
50100
14141
FY 06
MSA
code
6483
16
5640
8840
2000
4120
5600
3400
5600
3360
13
5945
17
5945
3880
15
3960
18
1680
24
0870
1000
44
1680
4480
4480
4000
4000
53
37
0760
5560
4080
2320
5775
2710
5523
4150
7160
32
49
5960
19
6440
34
2840
2000
6800
15
3640
4320
1600
4480
44
8120
51
6780
5380
4480
5600
4420
8735
1600
19
18
6740
6740
FY 06
CBSA
code
39300
16
35084
13644
19380
03
35644
26580
35644
26420
17660
42044
17
42044
29180
15
29340
18
17460
24
35660
13820
34100
17460
31084
31084
29540
29540
53
37
12940
35380
29700
21340
36084
38940
35980
29940
41620
32
49
36740
19
38900
34
23420
44220
40220
33140
35644
30620
16974
31084
44
44700
51
40140
35004
31084
35644
30980
37100
16974
19
18
28420
28420
30317
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
TABLE 3.—INPATIENT REHABILITATION FACILITIES WITH CORRESPONDING STATE AND COUNTY LOCATION; CURRENT
LABOR MARKET AREA DESIGNATION; AND PROPOSED NEW CBSA-BASED LABOR MARKET AREA DESIGNATION—Continued
SSA
State and
county
code
Provider
number
Provider name
14T276 .....
193060 .....
36T087 .....
33T306 .....
45T032 .....
36T189 .....
283025 .....
393038 .....
25T009 .....
45T530 .....
34T132 .....
143027 .....
36T147 .....
23T082 .....
313032 .....
23T054 .....
42T083 .....
233026 .....
16T030 .....
49T017 .....
36T100 .....
45T465 .....
45 .............
37T034 .....
46T004 .....
06T030 .....
45T059 .....
23T141 .....
36T048 .....
04T088 .....
17T180 .....
103036 .....
453052 .....
39T113 .....
23T093 .....
19T005 .....
35T015 .....
36T118 .....
45T683 .....
45T675 .....
45T651 .....
45T647 .....
08T001 .....
33T053 .....
11T036 .....
23T121 .....
45T005 .....
45T848 .....
45T184 .....
10T038 .....
15T058 .....
25T019 .....
41T001 .....
45T211 .....
14T148 .....
19T135 .....
45T133 .....
04T015 .....
17T182 .....
39T156 .....
36T234 .....
36T113 .....
23T004 .....
05T017 .....
17T142 .....
37T013 .....
52T066 .....
LULING REHABILITATION HOSPITAL ........................................................................................
LUTHERAN HOSPITAL ACUTE REHAB UNIT ............................................................................
LUTHERAN MEDICAL CENTER ..................................................................................................
MADISON COUNTY HOSPITAL INPATIENT REHAB .................................................................
MADONNA REHABILITATION HOSPITAL ..................................................................................
MAGEE REHABILITATION HOSPITAL ........................................................................................
MAGNOLIA REGIONAL HEALTH CENTER ................................................................................
MAINLAND MEDICAL HOSPITAL ................................................................................................
MARIA PARHAM HEALTHCARE ASSOCIATION, INC. ..............................................................
MARIANJOY REHABILITATION HOSPITAL ................................................................................
MARIETTA MEMORIAL HOSPITAL .............................................................................................
MARLETTE COMMUNITY HOSP CTR FOR REHAB ..................................................................
MARLTON REHABILITATION HOSPITAL ...................................................................................
MARQUETTE GENERAL HOSPITAL ...........................................................................................
MARY BLACK CENTER FOR REHAB .........................................................................................
MARY FREE BED HOSPITAL & REHABILITATION CENTER ...................................................
MARY GREELEY MEDICAL CENTER .........................................................................................
MARYVIEW CENTER FOR PHYSICAL REHABILITATION ........................................................
MASSILLON COMMUNITY HOSPITAL ........................................................................................
MATAGORDA GENERAL HOSPITAL ..........................................................................................
MAYO CLINIC HOSPITAL ............................................................................................................
MCALESTER REGIONAL HEALTH CENTER .............................................................................
MCKAY-DEE HOSPITAL ..............................................................................................................
MCKEE MEDICAL CENTER .........................................................................................................
MCKENNA REHAB INSTITUTE ...................................................................................................
MCLAREN REGIONAL MEDICAL CENTER ................................................................................
MCO REHAB HOSPITAL ..............................................................................................................
MEADOWBROOK REHAB HOSPITAL ........................................................................................
MEADOWBROOK REHAB HOSPITAL OF WEST GAB ..............................................................
MEADOWBROOK REHABILITAION HOSPITAL .........................................................................
MEADVILLE MEDICAL CENTER .................................................................................................
MECOSTA COUNTY GENERAL HOSPITAL ...............................................................................
MED CTR OF LA AT NEW ORLEANS ........................................................................................
MEDCENTER ONE, INC. .............................................................................................................
MEDCENTRAL HEALTH SYSTEM ..............................................................................................
MEDICAL CENTER AT TERRELL ...............................................................................................
MEDICAL CENTER OF ARLINGTON ..........................................................................................
MEDICAL CENTER OF PLANO ...................................................................................................
MEDICAL CENTER OF SOUTH ARKANSAS ..............................................................................
MEDICAL CITY DALLAS HOSPITAL ...........................................................................................
MEDICAL CNTR OF DELAWARE ................................................................................................
MEDINA HOSPITAL ......................................................................................................................
MEMORIAL HEALTH UNIVERSITY MEDICAL CENTER ............................................................
MEMORIAL HEALTHCARE CENTER ..........................................................................................
MEMORIAL HERMAN BAPTIST HOSP ORANGE ......................................................................
MEMORIAL HERMANN FT. BEND INPATIENT REHABILITATION ...........................................
MEMORIAL HERMANN NORTHWEST HOSPITAL .....................................................................
MEMORIAL HOSPITAL ................................................................................................................
MEMORIAL HOSPITAL—SOUTH BEND .....................................................................................
MEMORIAL HOSPITAL AT GULFPORT ......................................................................................
MEMORIAL HOSPITAL OF RI .....................................................................................................
MEMORIAL MED CENTER OF EAST TE ....................................................................................
MEMORIAL MEDICAL CENTER ..................................................................................................
MEMORIAL MEDICAL CENTER—REHABILITATION INSTITUTE .............................................
MEMORIAL REHABILITATION HOSPITAL ..................................................................................
MENA MEDICAL CENTER ...........................................................................................................
MENORAH MEDICAL CENTER ...................................................................................................
MERCY FITZGERALD HOSPITAL ...............................................................................................
MERCY FRANCISCAN HOSPITAL MT. AIRY .............................................................................
MERCY FRANCISCAN HOSPITAL WESTERN HILLS ................................................................
MERCY GENERAL HEALTH PARTNERS ...................................................................................
MERCY GENERAL HOSPITAL ....................................................................................................
MERCY HEALTH CENTER ..........................................................................................................
MERCY HEALTH CENTER, INC ..................................................................................................
MERCY HEALTH SYSTEM CORP ...............................................................................................
MERCY HEALTH SYSTEM OF KANSAS ....................................................................................
MERCY HOSPITAL .......................................................................................................................
VerDate jul<14>2003
16:45 May 24, 2005
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25MYP2
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45550
34900
14250
36850
23750
31150
23510
42410
23400
16840
49711
36770
45790
03060
37600
46280
06340
45320
23240
36490
17450
10120
45610
39260
23530
19350
35070
36710
45730
45910
45310
04690
45390
08010
33550
11220
23770
45840
45610
45610
10050
15700
25230
41030
45020
14920
19350
45794
04560
17450
39290
36310
36310
23600
05440
17800
37540
52520
17050
10120
FY 06
MSA
code
1600
5560
1680
5600
4420
1840
4360
6160
25
2920
34
1600
6020
23
6160
23
3160
3000
16
5720
1320
45
6200
37
7160
2670
7240
2640
8400
04
3760
5000
3360
39
23
5560
1010
4800
1920
2800
1920
1920
9160
6840
7520
23
0840
3360
3360
2680
7800
0920
6483
45
7880
5560
5800
04
3760
6160
1640
1640
3000
6920
17
5880
3620
FY 06
CBSA
code
16974
35380
17460
35644
45
18140
30700
37964
25
26420
34
16974
37620
23
15804
23
43900
24340
11180
47260
15940
38060
37
36260
22660
41700
22420
45780
04
28140
33124
26420
39
23
35380
13900
31900
19124
23104
19124
19124
48864
40380
42340
23
13140
26420
26420
22744
43780
25060
39300
45
44100
35380
33260
04
28140
37964
17140
17140
34740
40900
17
36420
27500
30318
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
TABLE 3.—INPATIENT REHABILITATION FACILITIES WITH CORRESPONDING STATE AND COUNTY LOCATION; CURRENT
LABOR MARKET AREA DESIGNATION; AND PROPOSED NEW CBSA-BASED LABOR MARKET AREA DESIGNATION—Continued
Provider
number
17T058
10T061
14T158
39T028
23T031
34T098
013027
33T259
36T070
52T048
16T083
16T069
16T153
16T064
37T047
39T136
36T082
35T011
52T089
31T010
03T017
03T018
45T688
19T124
19T200
24T053
05T238
18T056
45T358
45T051
14T209
15T002
45T631
36T059
33T199
23T236
45T388
24T004
36T051
14T075
173026
45T514
36T076
24T019
05T007
39T256
19T144
05T567
45T176
253025
25T152
26T108
26T113
01T113
053036
39T147
33T059
15T038
34T091
39T142
17T006
10T034
32T085
36T035
33T024
23T097
37T025
.....
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VerDate jul<14>2003
SSA
State and
county
code
Provider name
MERCY HOSPITAL .......................................................................................................................
MERCY HOSPITAL OF PITTSBURGH ........................................................................................
MERCY HOSPITAL PORT HURON .............................................................................................
MERCY HOSPITAL REHABILITATION UNIT ..............................................................................
MERCY MEDICAL ........................................................................................................................
MERCY MEDICAL CENTER ........................................................................................................
MERCY MEDICAL CENTER ........................................................................................................
MERCY MEDICAL CENTER ........................................................................................................
MERCY MEDICAL CENTER-DES MOINES ................................................................................
MERCY MEDICAL CENTER-DUBUQUE .....................................................................................
MERCY MEDICAL CENTER-SIOUX CITY ...................................................................................
MERCY MEDICAL CENTER-NORTH IOWA ................................................................................
MERCY MEMORIAL HEALTH CENTER ......................................................................................
MERCY PROVIDENCE HOSPITAL ..............................................................................................
MERIDIA EUCLID HOSPITAL ......................................................................................................
MERITCARE HEALTH SYSTEM ..................................................................................................
MERITER HOSPITAL INC. ...........................................................................................................
MERWICK REHAB HOSPITAL .....................................................................................................
MESA GENERAL HOSPITAL .......................................................................................................
MESA LUTHERAN HOSPITAL REHAB .......................................................................................
MESQUITE COMMUNITY HOSPITAL .........................................................................................
METHODIST HOSPITAL ..............................................................................................................
METHODIST HOSPITAL ..............................................................................................................
METHODIST HOSPITAL ..............................................................................................................
METHODIST HOSPITAL OF SOUTHERN CA .............................................................................
METHODIST HOSPITAL REHABILITATION CENTER ................................................................
METHODIST HOSPITAL, THE .....................................................................................................
METHODIST MEDICAL CENTER ................................................................................................
METHODIST MEDICAL CENTER OF ILLINOIS ..........................................................................
METHODIST NORTHLAKE ..........................................................................................................
METHODIST SPECIALTY/TRANSPLANT ....................................................................................
METROHEALTH MEDICAL CENTER ..........................................................................................
METROPOLITAN HOSPITAL .......................................................................................................
METROPOLITAN HOSPITAL AND METRO HEALTH CORPORATION .....................................
METROPOLITAN METHODIST HOSP ........................................................................................
MI LAND E. KNAPP REHABILITATION CENTER .......................................................................
MIAMI VALLEY HOSPITAL ..........................................................................................................
MICHAEL REESE HOSPITAL ......................................................................................................
MID AMERICA REHABILITATION HOSPITAL .............................................................................
MID JEFFERSON HOSPITAL ......................................................................................................
MIDDLETOWN REGIONAL HOSPITAL .......................................................................................
MILLER DWAN MEDICAL CENTER ............................................................................................
MILLS HEALTH CENTER .............................................................................................................
MILTON S HERSHEY MEDICAL CENTER ..................................................................................
MINDEN MEDICAL CENTER REHAB ..........................................................................................
MISSION HOSPITAL ....................................................................................................................
MISSION HOSPITAL ....................................................................................................................
MISSISSIPPI METHODIST REHABILITATION CENTER ............................................................
MISSISSIPPI METHODIST REHABILITATION CENTER ............................................................
MISSOURI BAPTIST MEDICAL CENTER ...................................................................................
MISSOURI DELTA MEDICAL CENTER .......................................................................................
MOBILE INFIRMARY ....................................................................................................................
MODESTO REHABILITATION HOSPITAL ...................................................................................
MONONGAHELA VALLEY HOSPITAL ........................................................................................
MONTEFIORE MEDICAL CENTER .............................................................................................
MORGAN HOSPITAL & MEDICAL CTR ......................................................................................
MORTON PLANT NORTH BAY HOSPITAL ................................................................................
MOSES CONE HEALTH SYSTEM ...............................................................................................
MOSS REHAB ..............................................................................................................................
MOUNT CARMEL REGIONAL MEDICAL CENTER ....................................................................
MOUNT SINAI MEDICAL CENTER ..............................................................................................
MOUNTAINVIEW REGIONAL MEDICAL CENTER .....................................................................
MT CARMEL INPATIENT REHAB UNIT ......................................................................................
MT SINAI HOSPITAL ....................................................................................................................
MUNSON MEDICAL CENTER .....................................................................................................
MUSKOGEE REGIONAL REHABILITATION CENTER ...............................................................
NACOGDOCHES COUNTY HOSPITAL DISTRICT .....................................................................
16:45 May 24, 2005
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52690
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16300
16960
16160
37090
39010
36170
35080
52120
31260
03060
03060
45390
19350
19350
24260
05200
18500
45610
45390
14800
15440
45130
36170
33420
23400
45130
24260
36580
14141
17450
45700
36080
24680
05510
39280
19590
05400
45650
25240
25240
26940
26982
01480
05600
39750
33020
15540
10500
34400
39620
17180
10120
32060
36250
33420
23270
37500
45810
FY 06
MSA
code
17
5000
1600
6280
2160
1520
5160
5380
1320
0460
2120
2200
7720
16
37
6280
1680
2520
4720
8480
6200
6200
1920
5560
5560
5120
4480
2440
3360
1920
6120
2960
7240
1680
5600
3000
7240
5120
2000
1600
3760
0840
3200
2240
7360
3240
7680
5945
4880
3560
3560
7040
26
5160
5170
6280
5600
3480
3120
6160
17
5000
4100
1840
5600
23
37
FY 06
CBSA
code
17
33124
16974
38300
47644
16740
01
35004
15940
36780
19780
20220
43580
16
37
38300
17460
22020
31540
45940
38060
38060
19124
35380
35380
33460
31084
21780
26420
19124
37900
23844
41700
17460
35644
24340
41700
33460
19380
16974
28140
13140
17140
20260
41884
25420
19
42044
32580
27140
27140
41180
26
33660
33700
38300
35644
26900
24660
37964
17
33124
29740
18140
35644
23
37
30319
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
TABLE 3.—INPATIENT REHABILITATION FACILITIES WITH CORRESPONDING STATE AND COUNTY LOCATION; CURRENT
LABOR MARKET AREA DESIGNATION; AND PROPOSED NEW CBSA-BASED LABOR MARKET AREA DESIGNATION—Continued
Provider
number
45T508
10T018
44T026
33T027
25T084
04T078
093025
45T447
39T204
28T040
203025
223026
34T141
323026
193089
33T236
33T101
17T001
41T006
17T103
31T028
39T194
45T130
10T063
22T065
37T008
45T809
10T086
34T047
45T403
06T001
24T100
453032
11T198
45T087
26T096
24T001
25T004
19T197
23T013
193044
19T204
33T181
06T065
11T029
45T733
373029
26T022
303026
05T699
14T116
23T105
29T032
11T033
01T145
05T116
04T022
50T001
25T042
45T131
07T034
14T301
233028
23T270
19T036
46T005
36T085
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VerDate jul<14>2003
SSA
State and
county
code
Provider name
NAPLES COMMUNITY HOSPITAL, INC. .....................................................................................
NASHVILLE REHABILITATION HOSPITAL .................................................................................
NASSAU UNIVERSITY MEDICAL CENTER ................................................................................
NATCHEZ REGIONAL MEDICAL CENTER .................................................................................
NATIONAL PARK ..........................................................................................................................
NATIONAL REHABILITATION HOSPITAL ...................................................................................
NAVARRO REGIONAL HOSPITAL ..............................................................................................
NAZARETH HOSPITAL ................................................................................................................
NEBRASKA METHODIST HEALTH SYSTEM .............................................................................
NEW ENGLAND REHAB HOSPITAL OF PORTLAND ................................................................
NEW ENGLAND REHABILITAION HOSPITAL-WOBURN ..........................................................
NEW HANOVER REGIONAL MEDICAL CENTER ......................................................................
NEW MEXICO REHABILITATION CENTER ................................................................................
NEW ORLEANS EAST REHABILITATION ..................................................................................
NEW YORK METHODIST HOSPITAL .........................................................................................
NEW YORK PRESBYTERIAN HOSPITAL ...................................................................................
NEWMAN REGIONAL HEALTH ...................................................................................................
NEWPORT HOSPITAL .................................................................................................................
NEWTON MEDICAL CENTER .....................................................................................................
NEWTON MEMORIAL HOSPITAL ...............................................................................................
NEXT STEP ACUTE REHABILITATION CENTER ......................................................................
NIX HEALTH CARE SYSTEM ......................................................................................................
NOBLE HOSPITAL REHAB UNIT ................................................................................................
NORMAN REGIONAL HOSPITAL ................................................................................................
NORTH AUSTIN MEDICAL CENTER ..........................................................................................
NORTH BROWARD MEDICAL CENTER .....................................................................................
NORTH CAROLINA BAPTIST HOSPITALS .................................................................................
NORTH CENTRAL MEDICAL CENTER .......................................................................................
NORTH COLORADO MEDICAL CENTER ...................................................................................
NORTH COUNTRY REGIONAL HOSPITAL ................................................................................
NORTH DALLAS REHABILITATION HOSPITAL .........................................................................
NORTH DALLAS REHABILITATION HOSPITAL .........................................................................
NORTH FULTON REGIONAL HOSPITAL ...................................................................................
NORTH HILLS HOSPITAL ............................................................................................................
NORTH KANSAS CITY HOSPITAL ..............................................................................................
NORTH MEMORIAL HEALTH CENTER ......................................................................................
NORTH MISS. MEDICAL CENTER ..............................................................................................
NORTH MONROE MEDICAL CENTER .......................................................................................
NORTH OAKLAND MEDICAL CENTERS ....................................................................................
NORTH OAKS REHAB HOSP INC ..............................................................................................
NORTH SHORE REGIONAL MEDICAL CENTER .......................................................................
NORTH SHORE UNIVERSITY HOSPITAL @ GLEN COVE .......................................................
NORTH SUBURBAN MEDICAL CENTER ...................................................................................
NORTHEAST GEORGIA MEDICAL CENTER .............................................................................
NORTHEAST METHODIST HOSPITAL .......................................................................................
NORTHEAST OKLAHOMA REHABILITATION ASSOCIATES, LP .............................................
NORTHEAST REGIONAL MEDICAL CENTER ...........................................................................
NORTHEAST REHABILITATION HOSPITAL ...............................................................................
NORTHERN CALIFORNIA REHABILITATION HOSPITAL ..........................................................
NORTHERN ILLINOIS MEDICAL CENTER .................................................................................
NORTHERN MICHIGAN HOSPITAL ............................................................................................
NORTHERN NEVADA MEDICAL CENTER .................................................................................
NORTHLAKE MEDICAL CENTER ...............................................................................................
NORTHPORT MEDICAL CENTER ...............................................................................................
NORTHRIDGE HOSPITAL MEDICAL CENTER ..........................................................................
NORTHWEST HEALTH SYSTEM ................................................................................................
NORTHWEST HOSPITAL ............................................................................................................
NORTHWEST MISSISSIPPI REGIONAL MED CTR ...................................................................
NORTHWEST REGIONAL HOSPITAL .........................................................................................
NORWALK HOSPITAL ASSOCIATION ........................................................................................
OAK FOREST HOSPITAL ............................................................................................................
OAKLAND REGIONAL HOSPITAL ...............................................................................................
OAKWOOD HERITAGE HOSPITAL .............................................................................................
OCHSNER REHABILITATION CENTER ......................................................................................
OGDEN REGIONAL MEDICAL CENTER ....................................................................................
OHIO STATE UNIVERSITY HOSPITAL .......................................................................................
OHIO VALLEY GENERAL HOSPITAL ARU ................................................................................
16:45 May 24, 2005
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25MYP2
10100
44180
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25000
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39620
28270
20020
22090
34640
32020
19350
33331
33420
17550
41020
17390
31360
39190
45130
22070
37130
45940
10050
34330
45310
06610
24030
45620
45390
11470
45910
26230
24260
25400
19360
23620
19520
19510
33400
06000
11550
45130
37710
26000
30070
05550
14640
23230
29150
11370
01620
05200
04710
50160
25130
45830
07000
14141
23620
23810
19250
46280
36250
39010
FY 06
MSA
code
45
5345
5360
5380
25
04
8840
45
6160
5920
6403
1123
9200
32
5560
5600
5600
17
6483
9040
5640
0240
7240
8280
8003
5880
0640
2680
3120
1920
3060
24
1920
0520
2800
3760
5120
25
5200
2160
19
5560
5380
2080
11
7240
8560
26
1123
6690
1600
23
6720
0520
8600
4480
2580
7600
25
1880
5483
1600
2160
2160
5560
7160
1840
FY 06
CBSA
code
45
34940
34980
35004
25
26300
47894
45
37964
36540
38860
15764
48900
32
35380
35644
35644
17
39300
48620
35084
10900
41700
45300
44140
36420
12420
22744
49180
19124
24540
24
19124
12060
23104
28140
33460
25
33740
47644
19
35380
35004
19740
23580
41700
46140
26
40484
39820
16974
23
39900
12060
46220
31084
22220
42644
25
18580
14860
16974
47644
19804
35380
36260
18140
30320
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
TABLE 3.—INPATIENT REHABILITATION FACILITIES WITH CORRESPONDING STATE AND COUNTY LOCATION; CURRENT
LABOR MARKET AREA DESIGNATION; AND PROPOSED NEW CBSA-BASED LABOR MARKET AREA DESIGNATION—Continued
Provider
number
39T157
18T038
19T017
33T001
33T126
38T033
10T006
45T121
37T093
31T029
19T102
19T064
50T051
45T113
11T163
05T115
45T099
05T024
45T196
45T518
45T659
45T015
44T156
15T021
06T020
45T400
10T114
36T041
44T125
33T002
39T226
06T031
513025
26T017
33T261
11T007
03T030
16T089
11T083
18T044
103030
373025
39T067
34T040
45T672
26T119
06T064
13T028
39T123
39T030
06T010
14T007
193082
45T462
05T169
14T113
14T217
02T001
50T019
50T014
05T278
23T019
38T075
38T061
05T235
50T024
05T063
.....
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VerDate jul<14>2003
SSA
State and
county
code
Provider name
OM .................................................................................................................................................
OPELOUSAS GENERAL HOSPITAL ...........................................................................................
ORANGE REGIONAL MEDICAL CENTER ..................................................................................
ORANGE REGIONAL MEDICAL CENTER ..................................................................................
OREGON REHABILITATION CENTER ........................................................................................
ORLANDO REGIONAL HEALTHCARE-CMR ..............................................................................
OSTEOPATHIC MEDICAL CENTER OF TEXAS ........................................................................
OU MEDICAL CENTER ................................................................................................................
OUR LADY OF LOURDES MEDICAL CENTER ..........................................................................
OUR LADY OF LOURDES REG MED CENTER .........................................................................
OUR LADY OF THE LAKE REGIONAL MEDICAL CENTER ......................................................
OVERLAKE HOSPITAL MEDICAL CENTER ...............................................................................
PALESTINE REGIONAL REHAB HOSPITAL ..............................................................................
PALMYRA MEDICAL CENTER ....................................................................................................
PALOMAR MEDICAL CENTER ....................................................................................................
PAMPA REGIONAL MEDICAL CENTER .....................................................................................
PARADISE VALLEY HOSPITAL ...................................................................................................
PARIS REGIONAL MEDICAL CENTER .......................................................................................
PARK PLACE MEDICAL CENTER ...............................................................................................
PARK PLAZA HOSPITAL .............................................................................................................
PARKLAND HEALTH AND HOSPITAL SYSTEM ........................................................................
PARKRIDGE MEDICAL CENTER ................................................................................................
PARKVIEW HOSPITAL .................................................................................................................
PARKVIEW MEDICAL CENTER ..................................................................................................
PARKVIEW REGIONAL HOSPITAL .............................................................................................
PARKWAY REGIONAL MEDICAL CENTER ................................................................................
PARMA COMMUNITY GENERAL HOSPITAL .............................................................................
PATRICIA NEAL REHABILITATION CENTER .............................................................................
PENINSULA HOSPITAL CENTER ...............................................................................................
PENNYSLVANIA HOSPITAL, ACUTE REHABILITATION UNIT .................................................
PENROSE HOSPITAL/ELEANOR-CAPRON ...............................................................................
PETERSON REHABILITATION HOSPITAL AND GERIATIC CEN .............................................
PHELPS COUNTY REGIONAL MED CENTER ...........................................................................
PHELPS MEMORIAL HOSPITAL .................................................................................................
PHOEBE PUTNEY ........................................................................................................................
PHOENIX BAPTIST HOSPITAL ...................................................................................................
PHYSICAL REHABILITAITON UNIT AT OTTUMWA REGIONAL H ...........................................
PIEDMONT HOSPITAL .................................................................................................................
PIKEVILLE METHODIST REHABILITATION HOSPITAL ............................................................
PINECREST REHABILITATION HOSPITAL ................................................................................
PINNACLE REHAB .......................................................................................................................
PINNACLEHEALTH HOSPITALS .................................................................................................
PITT COUNTY MEMORIAL HOSPITAL .......................................................................................
PLAZA MEDICAL CENTER ..........................................................................................................
POPLAR BLUFF REGIONAL MEDICAL CENTER ......................................................................
PORTER ADVENTIST HOSPITAL ...............................................................................................
PORTNEUF MEDICAL CENTER ..................................................................................................
POTTSTOWN MEMORIAL MEDICAL CENTER ..........................................................................
POTTSVILLE HOSPITAL-WARNE CLINIC ..................................................................................
POUDRE VALLEY HEALTH CARE INC ......................................................................................
PREMIER REHABILITATION HOSPITAL ....................................................................................
PRESBYTERIAN HOSPITAL OF DALLAS ...................................................................................
PRESBYTERIAN INTERCOMMUNITY HOSPITAL ......................................................................
PROVENA COVENANT MEDICAL CENTER REHAB .................................................................
PROVENA SAINT JOSEPH HOSPITAL .......................................................................................
PROVENA ST. JOSEPH MEDICAL CENTER .............................................................................
PROVIDENCE ALASKA MEDICAL CENTER ..............................................................................
PROVIDENCE CENTRALIA HOSPITAL ......................................................................................
PROVIDENCE EVERETT MEDICAL CENTER ............................................................................
PROVIDENCE HOLY CROSS MEDICAL CENTER .....................................................................
PROVIDENCE HOSPITAL ............................................................................................................
PROVIDENCE MEDFORD MEDICAL CENTER ..........................................................................
PROVIDENCE PORTLAND MEDICAL CENTER .........................................................................
PROVIDENCE SAINT JOSEPH MEDICAL CENTER ..................................................................
PROVIDENCE ST. PETER HOSPITAL ........................................................................................
QUEEN OF ANGELS-HOLLYWOOD PRESBYTERIAN MEDICAL C .........................................
QUEEN OF THE VALLEY HOSPITAL .........................................................................................
16:45 May 24, 2005
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E:\FR\FM\25MYP2.SGM
25MYP2
18290
19480
33540
33540
38190
10470
45910
37540
31160
19270
19160
50160
45000
11390
05470
45563
05470
45750
45700
45610
45390
44320
15010
06500
45758
10120
36170
44460
33590
39620
06200
51340
26800
33800
11390
03060
16890
11470
18970
10490
37540
39280
34730
45910
26110
06150
13020
39560
39650
06340
19360
45390
05200
14090
14530
14989
02020
50200
50300
05200
23620
38140
38250
05200
50330
05200
05380
FY 06
MSA
code
6280
5990
3880
5660
5660
2400
5960
2800
5880
6160
3880
0760
7600
45
0120
7320
45
7320
45
0840
3360
1920
1560
2760
6560
45
5000
1680
3840
5600
6160
1720
9000
26
5600
0120
6200
16
0520
18
8960
5880
3240
3150
2800
26
2080
6340
6160
39
2670
1600
5200
1920
4480
1400
1600
0380
50
7600
4480
2160
4890
6440
4480
5910
4480
FY 06
CBSA
code
38300
36980
19
39100
39100
21660
36740
23104
36420
15804
29180
12940
42644
45
10500
41740
45
41740
45
13140
26420
19124
16860
23060
39380
45
33124
17460
28940
35644
37964
17820
48540
26
35644
10500
38060
16
12060
18
48424
36420
25420
24780
23104
26
19740
38540
37964
39
22660
16974
33740
19124
31084
16580
16974
11260
50
42644
31084
47644
32780
38900
31084
36500
31084
30321
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
TABLE 3.—INPATIENT REHABILITATION FACILITIES WITH CORRESPONDING STATE AND COUNTY LOCATION; CURRENT
LABOR MARKET AREA DESIGNATION; AND PROPOSED NEW CBSA-BASED LABOR MARKET AREA DESIGNATION—Continued
Provider
number
05T009
33T231
29T007
43T077
04T074
11T168
18T093
34T097
49T001
42T036
013033
24T106
39T173
36T011
413025
223032
193028
053028
44T135
11T006
05T018
40T003
15T109
03T023
153030
073025
153028
153038
44T152
323028
313036
123025
313035
31T015
143026
45T811
233027
263028
06T022
15T048
293027
26T027
14T117
45T379
193075
25T081
453033
44T151
25T031
19T131
14T186
493027
15T059
31T034
33T125
42T078
233029
33T215
42T087
34T015
39T304
14T063
14T029
33T214
263027
47T005
52T013
.....
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VerDate jul<14>2003
SSA
State and
county
code
Provider name
QUEENS HOSPITAL CENTER ....................................................................................................
RANCHO REHABILITATION ........................................................................................................
RAPID CITY REGIONAL HOSPITAL ...........................................................................................
REBSAMEN MEDICAL CENTER .................................................................................................
REDMOND REHABILITATION CENTER .....................................................................................
REGIONAL MEDICAL CENTER ...................................................................................................
REGIONAL REHAB CENTER AT HUGH CHATHAM ..................................................................
REGIONAL REHAB CENTER OF NORTON COMMUNITY HOSPITAL .....................................
REGIONAL REHABILITATION CENTER .....................................................................................
REGIONAL REHABILITATION HOSPITAL ..................................................................................
REGIONS HOSPITAL REHAB INSTITUTE ..................................................................................
REHAB CARE CENTER AT INDIANA REGIONAL MEDICAL CTR ............................................
REHAB CENTER OF MARION ....................................................................................................
REHAB HOSP OF R I ...................................................................................................................
REHAB HOSP OF THE CAPE AND ISLANDS ............................................................................
REHAB HOSPITAL OF BATON ROUGE .....................................................................................
REHAB INSTITUTE AT SANTA BARBARA,THE .........................................................................
REHAB INSTITUTE AT TCMC .....................................................................................................
REHAB MEDICINE ST. MARY’S ATHENS ..................................................................................
REHAB UNIT OF PACIFIC ALLIANCE MEDICAL CENTER .......................................................
REHABCARE CENTER AT HOSPITAL DR. PILA .......................................................................
REHABILITATION CENTER AT LAFAYETTE HOME HOSPITAL ..............................................
REHABILITATION CENTER OF NORTHERN ARIZONA ............................................................
REHABILITATION HOSPITAL ......................................................................................................
REHABILITATION HOSPITAL OF CONNECTICUT,THE ............................................................
REHABILITATION HOSPITAL OF INDIANA ................................................................................
REHABILITATION HOSPITAL OF INDIANA AT ST VINCENT ...................................................
REHABILITATION HOSPITAL OF MEMPHIS ..............................................................................
REHABILITATION HOSPITAL OF NEW MEXICO .......................................................................
REHABILITATION HOSPITAL OF SOUTH JERSEY ...................................................................
REHABILITATION HOSPITAL OF THE PACIFIC ........................................................................
REHABILITATION HOSPITAL OF TINTON FALLS .....................................................................
REHABILITATION INSTITUTE AT MORRISTOWN MEMORIAL ................................................
REHABILITATION INSTITUTE OF CHICAGO .............................................................................
REHABILITATION INSTITUTE OF MCALLEN .............................................................................
REHABILITATION INSTITUTE OF MICHIGAN ............................................................................
REHABILITATION INSTITUTE OF ST LOUIS, THE ....................................................................
REHABILITATION PATIENT CARE UNIT ....................................................................................
REID HOSP-ACUTE REHAB UNIT ..............................................................................................
RENO REHAB ASSOCIATES, LIMITED PARTNERSHIP ...........................................................
RESEARCH MEDICAL CENTER .................................................................................................
RESURRECTION MEDICAL CENTER .........................................................................................
RHD MEMORIAL MEDICAL CENTER .........................................................................................
RICHLAND PARISH REHABILITATION HOSPITA ......................................................................
RILEY MEMORIAL HOSPITAL .....................................................................................................
RIO VISTA REHAB HOSPITAL ....................................................................................................
RIVER PARK HOSPITAL ..............................................................................................................
RIVER REGION HEALTH SYSTEM .............................................................................................
RIVER WEST MEDICAL CENTER ...............................................................................................
RIVERSIDE MEDICAL CENTER ..................................................................................................
RIVERSIDE REHAB INSTITUTE ..................................................................................................
RIVERVIEW HOSPITAL ...............................................................................................................
RIVERVIEW MEDICAL CENTER .................................................................................................
ROCHESTER GENERAL HOSPITAL ...........................................................................................
ROGER C. PEACE .......................................................................................................................
ROGERS CITY REHABILITATION HOSPITAL ............................................................................
ROME MEMORIAL HOSPITAL ....................................................................................................
ROPER REHABILITATION HOSPITAL ........................................................................................
ROWAN REGIONAL MEDICAL CENTER ....................................................................................
ROXBOROUGH ............................................................................................................................
RUSH OAK PARK HOSPITAL ......................................................................................................
RUSH-COPLEY MEDICAL CENTER ...........................................................................................
RUSK INSTITUTE .........................................................................................................................
RUSK REHABILITATION CENTER LLC ......................................................................................
RUTLAND REGIONAL MEDICAL CENTER .................................................................................
SACRED HEART HOSPITAL .......................................................................................................
SACRED HEART REHAB INST ...................................................................................................
16:45 May 24, 2005
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E:\FR\FM\25MYP2.SGM
25MYP2
33590
29010
43510
04590
11460
18530
34850
49661
42280
01500
24610
39390
36520
41030
22000
19160
05520
44180
11260
05200
40560
15780
03020
15010
07010
15480
15480
44780
32000
31190
12020
31290
31300
14141
45650
23810
26940
06200
15880
29150
26070
14141
45390
19410
25370
45480
44880
25740
19230
14540
49622
15280
31290
33370
42220
23700
33510
42090
34790
39620
14141
14530
33420
26090
47100
52170
52390
FY 06
MSA
code
8720
5600
4120
6660
4400
11
18
34
49
42
5240
5120
39
36
6483
0743
0760
7480
5360
0500
4480
6360
3920
2620
2760
3283
3480
3480
4920
0200
8760
3320
5190
5640
1600
4880
2160
7040
1720
15
6720
26
1600
1920
19
25
2320
44
25
19
3740
5720
3480
5190
6840
3160
23
8680
1440
1520
6160
1600
1600
5600
1740
47
2290
FY 06
CBSA
code
34900
35644
29820
39660
30780
40660
18
34
49
42
33860
33460
39
36
39300
12700
12940
42060
34980
12020
31084
38660
29140
22380
23060
25540
26900
26900
32820
10740
47220
26180
20764
35084
16974
32580
19804
41180
17820
15
39900
26
16974
19124
19
25
21340
44
25
12940
28100
47260
26900
20764
40380
24860
23
46540
16700
34
37964
16974
16974
35644
17860
47
20740
30322
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
TABLE 3.—INPATIENT REHABILITATION FACILITIES WITH CORRESPONDING STATE AND COUNTY LOCATION; CURRENT
LABOR MARKET AREA DESIGNATION; AND PROPOSED NEW CBSA-BASED LABOR MARKET AREA DESIGNATION—Continued
Provider
number
523025
05T603
193078
13T007
14T052
313037
33T067
44T183
14T067
05T152
26T020
26T085
14T224
15T012
17T185
14T180
29T009
33T290
39T009
38T051
17T012
04T084
46T003
05T248
33T157
45T340
453035
05T585
45T424
05T167
053032
05T215
06T008
05T038
05T174
10T087
11T003
19T025
143025
45T054
03T038
05T503
49T007
39T037
10T113
45T571
39T211
05T100
493025
313033
193083
45T007
05T506
14T213
05T236
23T024
25T040
43T027
443025
24T057
24T038
44T006
19T040
11T219
11T122
10T154
36T144
.....
.....
.....
.....
.....
.....
.....
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VerDate jul<14>2003
SSA
State and
county
code
Provider name
SADDLEBACK MEMORIAL MEDICAL CENTER .........................................................................
SAGE REHAB INSTITUTE ...........................................................................................................
SAINT ALPHONSUS REGIONAL MEDICAL CENTER ................................................................
SAINT ANTHONY’S HEALTH CENTER .......................................................................................
SAINT FRANCIS HOSPITAL ........................................................................................................
SAINT FRANCIS HOSPITAL ........................................................................................................
SAINT FRANCIS HOSPITAL ........................................................................................................
SAINT FRANCIS MEDICAL CENTER ..........................................................................................
SAINT FRANCIS MEMORIAL HOSPITAL ....................................................................................
SAINT JOHNS MERCY MEDICAL CENTER ...............................................................................
SAINT JOSEPH HEALTH CENTER .............................................................................................
SAINT JOSEPH HOSPITAL .........................................................................................................
SAINT JOSEPH REGIONAL MEDICAL CENTER .......................................................................
SAINT LUKE’S SOUTH HOSPITAL .............................................................................................
SAINT MARY OF NAZARETH HOSPITAL ...................................................................................
SAINT MARYS REGIONAL MEDICAL CENTER .........................................................................
SAINT VINCENT CATHOLIC MEDICAL CENTERS OF NEW YORK .........................................
SAINT VINCENT HEALTH CENTER ............................................................................................
SALEM HOSPITAL REGIONAL REHABILITATION CENTER .....................................................
SALINA REGIONAL HEALTH CENTER .......................................................................................
SALINE MEMORIAL HOSPITAL ..................................................................................................
SALT LAKE REGIONAL MEDICAL CENTER ..............................................................................
SAM KARAS ACUTE REHAB AT NATIVIDAD MEDICAL CENTER ...........................................
SAMARITAN MEDICAL CENTER ................................................................................................
SAN ANGELO COMMUNITY MEDICAL CENTER ......................................................................
SAN ANTONIO WARM SRPINGS REHABILITATION HOSPITAL ..............................................
SAN CLEMENTE HOSPITAL .......................................................................................................
SAN JACINTO METHODIST HOSPITAL .....................................................................................
SAN JOAQUIN GENERAL HOSPITAL .........................................................................................
SAN JOAQUIN VALLEY REHABILITATION HOSP .....................................................................
SAN JOSE MEDICAL CENTER ...................................................................................................
SAN LUIS VALLEY REGIONAL MEDICAL CENTER ..................................................................
SANTA CLARA VALLEY MEDICAL CENTER .............................................................................
SANTA ROSA MEMORIAL HOSPITAL ........................................................................................
SARASOTA MEMORIAL HOSPITAL ............................................................................................
SATILLA REGIONAL REHABILITATION INSTITUTE ..................................................................
SAVOY MEDICAL CENTER .........................................................................................................
SCHWAB REHABILITATION HOSPITAL .....................................................................................
SCOTT & WHITE ..........................................................................................................................
SCOTTSDALE HEALTHCARE INPATIENT REHAB ....................................................................
SCRIPPS MEMORIAL HOSPITAL ENCINITAS ...........................................................................
SENTARA NORFOLK GENERAL HOSPITAL ..............................................................................
SEWICKLEY VALLEY HOSPITAL ................................................................................................
SHANDS REHAB HOSPITAL .......................................................................................................
SHANNON WEST TEXAS MEMORIAL HOSPITAL .....................................................................
SHARON REGIONAL HEALTH SYSTEM ....................................................................................
SHARP MEMORIAL REHABILITATION CENTER .......................................................................
SHELTERING ARMS REHABILITATION HOSPITAL ..................................................................
SHORE REHABILITATION INSTITUTE .......................................................................................
SHREVEPORT REHABILITATION HOSPITAL ............................................................................
SID PETERSON MEMORIAL HOSPITAL ....................................................................................
SIERRA VISTA REGIONAL MEDICAL CENTER .........................................................................
SILVER CROSS HOSPITAL .........................................................................................................
SIMI VALLEY HOSPITAL & HEALTH CARE SVC .......................................................................
SINAI-GRACE HOSPITAL ............................................................................................................
SINGING RIVER HOSPITAL ........................................................................................................
SIOUX VALLEY HOSPITAL ..........................................................................................................
SISKIN HOSPITAL FOR PHYSICAL REHABILITATION .............................................................
SISTER KENNY REHAB INSTITUTE—ABBOTT NORTHWESTERN .........................................
SISTER KENNY REHAB INSTITUTE—UNITED HOSPITAL .......................................................
SKYLINE REHABILITATION CENTER .........................................................................................
SLIDELL MEMORIAL HOSPITAL .................................................................................................
SOUTH FULTON ..........................................................................................................................
SOUTH GEORGIA MEDICAL CENTER .......................................................................................
SOUTH MIAMI HOSPITAL PHYSICAL MEDICINE & REHAB ....................................................
SOUTH POINTE HOSPITAL ........................................................................................................
SOUTH TEXAS REGIONAL SPECIALTY HOSPITAL .................................................................
16:45 May 24, 2005
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E:\FR\FM\25MYP2.SGM
25MYP2
05400
19160
13000
14680
31230
33230
44780
14800
05480
26940
26470
14141
15700
17450
14141
29150
33420
39320
38230
17840
04620
46170
05370
33330
45930
45130
05400
45610
05490
05090
05530
06010
05530
05590
10570
11940
19190
14141
45120
03060
05470
49641
39010
10000
45930
39530
05470
49430
31310
19080
45734
05500
14989
05660
23810
25290
43490
44320
24260
24610
44180
19510
11470
11700
10120
36170
45060
FY 06
MSA
code
5080
5945
0760
1080
7040
3640
2281
4920
6120
7360
7040
3760
1600
7800
3760
1600
6720
5600
2360
7080
17
4400
7160
7120
33
7200
7240
5945
3360
8120
2840
7400
06
7400
7500
7510
11
19
1600
3810
6200
7320
5720
6280
2900
7200
7610
7320
6760
5190
7680
45
7460
1600
8735
2160
0920
7760
1560
5120
5120
5360
5560
0520
11
5000
1680
FY 06
CBSA
code
33340
42044
12940
14260
41180
35644
39100
32820
37900
41884
41180
28140
16974
43780
28140
16974
39900
35644
21500
41420
17
30780
41620
41500
33
41660
41700
42044
26420
44700
23420
41940
06
41940
42220
42260
11
19
16974
28660
38060
41740
47260
38300
23540
41660
49660
41740
40060
20764
43340
45
42020
16974
37100
19804
37700
43620
16860
33460
33460
34980
35380
12060
46660
33124
17460
30323
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
TABLE 3.—INPATIENT REHABILITATION FACILITIES WITH CORRESPONDING STATE AND COUNTY LOCATION; CURRENT
LABOR MARKET AREA DESIGNATION; AND PROPOSED NEW CBSA-BASED LABOR MARKET AREA DESIGNATION—Continued
Provider
number
45T165
22T074
26T110
34T028
513026
153037
183029
36T008
44T058
33T043
45T697
19T205
25T097
50T050
37T097
233025
01T033
063027
45T630
26T104
263025
26T081
04T007
19T125
39T022
35T002
26T077
103027
103026
453038
04T062
36T064
26T183
23T119
23T195
37T114
23T257
26T001
05T082
193061
41T005
05T006
30T011
15T010
45T011
52T136
04T026
313027
45T193
26T138
26T062
193087
503025
15T004
05T191
50T002
06T012
24T010
26T193
15T100
44T120
05T457
10T288
52T044
45T044
27T049
32T002
.....
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VerDate jul<14>2003
SSA
State and
county
code
Provider name
SOUTHCOAST HOSPITALS GROUP, INC. ................................................................................
SOUTHEAST MISSOURI HOSPITAL ...........................................................................................
SOUTHEASTERN REGIONAL REHABILITATION CENTER ......................................................
SOUTHERN HILLS REGIONAL REHAB ......................................................................................
SOUTHERN INDIANA REHABILITATION HOSPITAL .................................................................
SOUTHERN KENTUCKY REHABILITATION HOSPITAL ............................................................
SOUTHERN OHIO MEDICAL CENTER .......................................................................................
SOUTHERN TENNESSEE MEDICAL CENTER ..........................................................................
SOUTHSIDE HOSPITAL ...............................................................................................................
SOUTHWEST GENERAL HOSPITAL ..........................................................................................
SOUTHWEST MEDICAL CENTER ..............................................................................................
SOUTHWEST MISSISSIPPI REGIONAL MEDICAL CENTER ....................................................
SOUTHWEST WASHINGTON MEDICAL CENTER ....................................................................
SOUTHWESTERN MEDICAL CENTER .......................................................................................
SOUTHWESTERN REHABILITATION HOSPITAL ......................................................................
SPAIN REHABILITATION CENTER .............................................................................................
SPALDING REHABILITATION HOSPITAL ...................................................................................
SPRING BRANCH MEDICAL CENTER .......................................................................................
SSM DEPAUL HEALTH CENTER ................................................................................................
SSM REHABILITATION INSTITUTE ............................................................................................
SSM ST. JOSEPH KIRKWOOD ...................................................................................................
ST. FRANCIS MEDICAL CTR ......................................................................................................
ST. AGNES MEDICAL CENTER ..................................................................................................
ST. ALEXIUS MEDICAL CENTER ...............................................................................................
ST. ANTHONYS MEDICAL CENTER ...........................................................................................
ST. ANTHONY’S REHABILITATION HOSPITAL .........................................................................
ST. CATHERINE’S REHABILITATION HOSPITAL ......................................................................
ST. DAVIDS REHABILITATION CENTER ....................................................................................
ST. EDWARD MERCY MEDICAL CENTER ................................................................................
ST. ELIZABETH HEALTH CENTER .............................................................................................
ST. FRANCIS MEDICAL CENTER ...............................................................................................
ST. JOHN DETROIT RIVERVIEW HOSP ....................................................................................
ST. JOHN MACOMB HOSPITAL ..................................................................................................
ST. JOHN MEDICAL CENTER, INC. ...........................................................................................
ST. JOHN NORTH SHORES HOSPITAL .....................................................................................
ST. JOHNS REGIONAL MEDICAL CENTER ...............................................................................
ST. JOHN’S REGIONAL MEDICAL CENTER ..............................................................................
ST. JOHN’S REHABILITATION HOSPITAL .................................................................................
ST. JOSEPH HEALTH SERVICES OF RI ....................................................................................
ST. JOSEPH HOSPITAL ..............................................................................................................
ST. JOSEPH HOSPITAL ..............................................................................................................
ST. JOSEPH HOSPITAL & HEALTH CENTER ...........................................................................
ST. JOSEPH REGIONAL REHAB ................................................................................................
ST. JOSEPHS HOSPITAL ............................................................................................................
ST. JOSEPH’S MERCY HEALTH CENTER .................................................................................
ST. LAWRENCE REHABILITATION CENTER .............................................................................
ST. LUKES EPISCOPAL HOSPTIAL ...........................................................................................
ST. LUKES HOSPITAL OF KANSAS CITY ..................................................................................
ST. LUKES NORTHLAND HOSPITAL .........................................................................................
ST. LUKE’S REHABILITATION HOSPITAL OF LAFAYETTE .....................................................
ST. LUKES REHABILITATION INSTITUTE .................................................................................
ST. MARGARET MERCY HLTHCARE CTRS ..............................................................................
ST. MARY MEDICAL CENTER ....................................................................................................
ST. MARY MEDICAL CENTER ....................................................................................................
ST. MARY-CORWIN MEDICAL CENTER ....................................................................................
ST. MARYS HOSPITAL ................................................................................................................
ST. MARY’S HOSPITAL BLUE SPRINGS ...................................................................................
ST. MARYS MEDICAL CENTER ..................................................................................................
ST. MARYS MEDICAL CENTER ..................................................................................................
ST. MARY’S MEDICAL CENTER .................................................................................................
ST. MARY’S WEST PALM BEACH ..............................................................................................
ST. NICHOLAS HOSPITAL ..........................................................................................................
ST. PAUL HOSPITAL ...................................................................................................................
ST. VINCENT HEALTHCARE .......................................................................................................
ST. VINCENT HOSPITAL .............................................................................................................
ST. VINCENT HOSPITAL .............................................................................................................
ST. VINCENT REHAB HOSP IN PART HLTHSOUT ...................................................................
17:33 May 24, 2005
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E:\FR\FM\25MYP2.SGM
25MYP2
22150
26150
34250
51270
15210
18986
36740
44250
33700
45130
19270
25560
50050
37540
23120
01360
06150
45610
26940
26940
26940
19360
39620
35070
26940
10050
10120
45940
04650
36510
26260
23810
23490
37710
23490
26480
05660
19250
41030
05110
30050
15330
45190
52390
04250
31260
45610
26470
26230
19270
50310
15440
05200
50350
06500
24540
26470
15810
44460
05480
10120
52580
45390
27550
32240
52040
04590
FY 06
MSA
code
45
1123
26
2560
51
4520
18
36
44
5380
7240
3880
25
6440
5880
3720
1000
2080
3360
7040
7040
7040
4400
5200
6160
1010
7040
2680
5000
0640
2720
9320
26
2160
2160
8560
2160
3710
8735
5560
6483
05
1123
3850
1260
5080
04
8480
3360
3760
3760
3880
7840
2960
4480
50
6560
6820
3760
2440
3840
7360
5000
7620
1920
0880
7490
FY 06
CBSA
code
41700
14484
26
22180
51
31140
14540
36
44
35004
41700
29180
25
38900
36420
12980
13820
19740
26420
41180
41180
41180
30780
33740
37964
13900
41180
22744
33124
12420
22900
49660
26
19804
47644
46140
47644
27900
37100
35380
39300
05
31700
29020
17780
33340
26300
45940
26420
28140
28140
29180
44060
23844
31084
50
39380
40340
28140
21780
28940
41884
33124
43100
19124
13740
42140
30324
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
TABLE 3.—INPATIENT REHABILITATION FACILITIES WITH CORRESPONDING STATE AND COUNTY LOCATION; CURRENT
LABOR MARKET AREA DESIGNATION; AND PROPOSED NEW CBSA-BASED LABOR MARKET AREA DESIGNATION—Continued
Provider
number
52T075
043031
52T088
26T210
37T037
15T126
15T015
33T246
36T081
39T228
18T018
24T036
52T009
14T187
08T003
14T172
23T065
26T065
50T030
50T108
23T156
03T024
33T108
52T037
23T047
31T116
05T168
24T047
33T046
03T037
16T045
26T179
36T090
52T138
39T258
15T034
06T023
04T041
37T026
33T057
36T066
29T012
19T045
07T028
17T016
15T047
073026
05T441
34T119
15T102
33T160
193069
37T049
33T285
29T041
36T020
44T003
11T044
10T015
053037
333025
29T003
33T350
05T498
14T114
06T034
50T025
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VerDate jul<14>2003
SSA
State and
county
code
Provider name
ST. AGNES HOSPITAL ................................................................................................................
ST. ALEXIUS HOSPITAL ..............................................................................................................
ST. ANTHONY HOSPITAL REHAB CENTER ..............................................................................
ST. ANTHONY MEDICAL CENTER .............................................................................................
ST. ANTHONY MEMORIAL HEALTH CENTERS ........................................................................
ST. CHARLES HOSPITAL AND REHABILITATION CENTER ....................................................
ST. CHARLES MERCY HOSPITAL ..............................................................................................
ST. CLAIR HOSPITAL ..................................................................................................................
ST. CLAIRE MC ............................................................................................................................
ST. CLOUD HOSPITAL ................................................................................................................
ST. ELIZABETH HOSPITAL .........................................................................................................
ST. ELIZABETH HOSPITAL REHAB ............................................................................................
ST. FRANCIS HOSPITAL REHAB ...............................................................................................
ST. JAMES HOSPITAL AND HEALTH CENTERS ......................................................................
ST. JOHN NORTHEAST COMMUNITY HOSPITAL ....................................................................
ST. JOHNS REGIONAL HEALTH CENTER ................................................................................
ST. JOSEPH HOSPITAL ..............................................................................................................
ST. JOSEPH MEDICAL CENTER ................................................................................................
ST. JOSEPH MERCY HOSPITAL-ANN ARBOR .........................................................................
ST. JOSEPHS HOSPITAL ............................................................................................................
ST. JOSEPH’S HOSPITAL ...........................................................................................................
ST. JOSEPH’S HOSPITAL ...........................................................................................................
ST. JOSEPH’S MERCY OF MACOMB ........................................................................................
ST. JOSEPH’S WAYNE HOSPITAL .............................................................................................
ST. JUDE MEDICAL CENTER .....................................................................................................
ST. LUKE’S ...................................................................................................................................
ST. LUKE’S/ROOSEVELT HOSPITAL CENTER .........................................................................
ST. LUKES ACUTE REHAB .........................................................................................................
ST. LUKES HOSPITAL .................................................................................................................
ST. LUKE’S HOSPITAL ................................................................................................................
ST. LUKE’S HOSPITAL ................................................................................................................
ST. LUKE’S REHAB UNIT AT ST. LUKE’S SOUTH SHORE ......................................................
ST. MARY MEDICAL CENTER ....................................................................................................
ST. MARY MEDICAL CENTER INC .............................................................................................
ST. MARYS HOSPITAL AND MEDICAL CENTER ......................................................................
ST. MARY’S REGIONAL MEDICAL CENTER .............................................................................
ST. MARY’S REGIONAL MEDICAL CENTER .............................................................................
ST. PETERS HOSPITAL ..............................................................................................................
ST. RITA’S MEDICAL CENTER ...................................................................................................
ST. ROSE DOMINICAN HOSPITAL .............................................................................................
ST. TAMMANY PARISH HOSPITAL ............................................................................................
ST. VINCENT INFIRMARY MEDICAL CENTER ..........................................................................
ST. VINCENT’S MEDICAL CENTER ............................................................................................
ST. FRANCIS HEALTH CENTER .................................................................................................
ST. JOSEPH HOSPITAL REHAB UNIT .......................................................................................
STAMFORD HOSPITAL ...............................................................................................................
STANFORD HOSPITAL & CLINICS .............................................................................................
STANLY MEMORIAL HOSPITAL .................................................................................................
STARKE MEMORIAL HOSPITAL .................................................................................................
STATEN ISLAND HOSPITAL .......................................................................................................
STERLINGTON REHAB HOSPITAL ............................................................................................
STILLWATER MEDICAL CENTER ...............................................................................................
STRONG MEMORIAL HOSPITAL ................................................................................................
SUMMA HEALTH SYSTEM ..........................................................................................................
SUMMERLIN HOSPITAL MEDICAL CENTER .............................................................................
SUMNER REGIONAL MEDICAL CENTER ..................................................................................
SUMTER REGIONAL HOSPITAL .................................................................................................
SUN COAST HOSPITAL ..............................................................................................................
SUN HEALTH ROBERT H BALLARD REHAB HOSPITAL .........................................................
SUNNYVIEW HOSPITAL AND REHABILITATION CENTER ......................................................
SUNRISE HOSPITAL & MEDICAL CEN ......................................................................................
SUNY DOWNSTATE MEDICAL CENTER ...................................................................................
SUTTER AUBURN FAITH HOSPITAL .........................................................................................
SWEDISH COVENANT HOSPITAL ..............................................................................................
SWEDISH GENERAL REHABILITATION .....................................................................................
SWEDISH MEDICAL CENTER .....................................................................................................
TAH INPATIENT REHAB UNIT ....................................................................................................
17:33 May 24, 2005
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E:\FR\FM\25MYP2.SGM
25MYP2
52190
26940
37540
15440
15450
33700
36490
39010
18975
24720
52430
14900
08010
14141
23810
26380
50360
50260
23800
03060
33070
52700
23490
31320
05400
24680
33420
03060
16560
26940
36490
52580
39140
15440
06380
04570
37230
33000
36010
29010
19510
04590
07000
17880
15010
07070
05530
34830
15740
33610
19360
37590
33370
36780
29010
44820
11870
10510
05460
33650
29010
33331
05410
14141
06020
50160
39260
FY 06
MSA
code
3080
4400
52
7040
5880
2960
15
5380
8400
6280
18
6980
0460
7040
9160
1600
2160
7920
0860
8200
0440
6200
2335
52
2160
0875
5945
2240
5600
6200
1360
7040
8400
7620
6160
2960
2995
04
2340
0160
4320
4120
5560
5483
8440
2760
07
7400
1520
15
5600
5200
37
6840
4120
0080
5360
11
8280
6780
0160
4120
5600
6920
1600
2080
7600
FY 06
CBSA
code
24580
30780
22540
41180
36420
23844
33140
35004
45780
38300
18
41060
11540
41180
48864
16974
19804
44180
13380
45104
11460
38060
21300
52
47644
35644
42044
20260
35644
38060
16300
41180
45780
43100
37964
23844
24300
04
37
10580
30620
29820
35380
14860
45820
23060
07
41940
34
15
35644
33740
37
40380
29820
10420
34980
11
45300
40140
10580
29820
35644
40900
16974
19740
42644
30325
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
TABLE 3.—INPATIENT REHABILITATION FACILITIES WITH CORRESPONDING STATE AND COUNTY LOCATION; CURRENT
LABOR MARKET AREA DESIGNATION; AND PROPOSED NEW CBSA-BASED LABOR MARKET AREA DESIGNATION—Continued
Provider
number
39T122
44T050
10T128
453042
39T027
19T008
28T061
20T018
36T163
09T001
39T066
33T004
25T099
33T056
33T049
39T044
42T068
15T051
11T024
44T059
16T146
11T043
15T008
10T012
20T039
42T067
36T211
39T042
52T045
19T004
39T174
343025
23T015
11T095
45T080
45T324
45T670
193034
05T128
193050
14T280
35T006
19T176
37T078
45T378
26T015
52T098
01T114
05T599
05T262
33T394
34T061
15T023
39T041
53T014
193079
37T149
33T226
05T348
39T164
10T173
45T213
33T241
44T193
45T686
06T024
14T150
.....
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VerDate jul<14>2003
SSA
State and
county
code
Provider name
TAKOMA ADVENTIST HOSPITAL ...............................................................................................
TAMPA GENERAL REHABILATION CTR ....................................................................................
TARRANT COUNTY REHABILITATION HOSPITAL ...................................................................
TEMPLE UNIVERSITY HOSPITAL ..............................................................................................
TERREBONNE GENERAL MEDICAL CENTER ..........................................................................
TEXOMA MEDICAL CENTER ......................................................................................................
THE ACUTE REHAB UNIT AT REGIONAL WEST MEDICAL CENT .........................................
THE AROOSTOOK MEDICAL CENTER ......................................................................................
THE CHRIST HOSPITAL REHAB UNIT .......................................................................................
THE GEORGE WASHINGTON UNIVERSITY ARU .....................................................................
THE GOOD SAMARITAN HOSPITAL ..........................................................................................
THE KINGSTON HOSPITAL REHABILITATION CENTER ..........................................................
THE LEFLORE REHABILITATION CENTER ...............................................................................
THE PARKSIDE ACUTE REHABILITATION CENTER ................................................................
THE PAUL ROSENTHAL REHABILITATION CENTER AT NDH ................................................
THE READING HOSPITAL AND MEDICAL CENTER .................................................................
THE REGIONAL MEDICAL CENTER REHABCENTRE ..............................................................
THE REHAB CENTER AT BLOOMINGTON HOSPITAL .............................................................
THE REHAB CENTER AT CANDLER ..........................................................................................
THE REHAB CENTER AT COOKEVILLE RMC ...........................................................................
THE REHAB CENTER AT ST. LUKE’S .......................................................................................
THE REHAB CENTER AT ST. JOSEPHS ...................................................................................
THE REHABILITATION CENTER AT ST. CATHERINE HOSPITA .............................................
THE REHABILITATION HOSPITAL ..............................................................................................
THE REHABILITATION INSTITUTE AT MGMC ..........................................................................
THE REHABILITATION UNIT AT BEAUFORT MEMORIAL HOSPI ............................................
THE TRINITY REHABILITATION CENTER .................................................................................
THE WASHINGTON HOSPITAL ACUTE REHABILITATION UNIT .............................................
THEDA CLARK MEDICAL CENTER ............................................................................................
THIBODAUX REGIONAL MEDICAL CENTER .............................................................................
THOMAS JEFFERSON UNIVERSITY HOSPITAL .......................................................................
THOMS REHABILITATION HOSP ...............................................................................................
THREE RIVERS REHABILITATION PAVILION ...........................................................................
TIFT REGIONAL MEDICAL CENTER ..........................................................................................
TITUS REGIONAL MEDICAL CENTER .......................................................................................
TOMBALL REGIONAL HOSPITAL ...............................................................................................
TOURO REHABILITATION CENTER ...........................................................................................
TRI-CITY MEDICAL CENTER ......................................................................................................
TRI PARISH REHABILITATION HOSPITAL LLC .........................................................................
TRINITY MEDICAL CENTER .......................................................................................................
TRINITY REHABCARE CENTER .................................................................................................
TULANE INPATIENT REHAB CENTER .......................................................................................
TULSA REGIONAL MEDICAL CENTER ......................................................................................
TWELVE OAKS MEDICAL CENTER ...........................................................................................
TWIN RIVERS REGIONAL MEDICAL CENTER ..........................................................................
U W HOSPITAL & CLINIC ............................................................................................................
UAB MEDICAL WEST REHABILITATION UNIT ..........................................................................
UC DAVIS MEDICAL CENTER ....................................................................................................
UCLA MED CTR-RRU ..................................................................................................................
UHS HOSPITALS ..........................................................................................................................
UNC HOSPITALS .........................................................................................................................
UNION HOSPITAL ........................................................................................................................
UNIONTOWN HOSPITAL .............................................................................................................
UNITED MEDICAL CENTER ARU ...............................................................................................
UNITED MEDICAL REHABILITATION HOSPITAL ......................................................................
UNITY HEALTH CENTER ............................................................................................................
UNITY HEALTH SYSTEM ............................................................................................................
UNIV OF CA IRVINE MED CTR ...................................................................................................
UNIV OF PITTSBURGH MED CTR-MUH ....................................................................................
UNIVERSITY COMMUNITY HOSPITAL .......................................................................................
UNIVERSITY HEALTH SYSTEM ..................................................................................................
UNIVERSITY HOSPITAL ..............................................................................................................
UNIVERSITY MEDICAL CENTER ................................................................................................
UNIVERSITY MEDICAL CENTER ................................................................................................
UNIVERSITY OF COLORADO HOSPITAL ..................................................................................
UNIVERSITY OF ILLINOIS MEDICAL CENTER AT CHICAGO ..................................................
UNIVERSITY OF MICHIGAN HOSPITAL .....................................................................................
16:45 May 24, 2005
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E:\FR\FM\25MYP2.SGM
25MYP2
44290
10280
45910
39620
19540
45564
28780
20010
36310
09000
39460
33740
25410
33331
33230
39110
42370
15520
11220
44700
16960
11220
15440
10350
20050
42060
36420
39750
52690
19280
39620
34100
23740
11900
45531
45610
19350
05470
19050
14890
35500
19350
37710
45610
26340
52120
01360
05440
05200
33030
34670
15830
39330
53100
19350
37620
33370
05400
39010
10280
45130
33520
44940
45770
06150
14141
23800
FY 06
MSA
code
39
44
8280
2800
6160
3350
28
20
1640
8840
3240
33
25
5600
2281
6680
42
1020
7520
44
7720
7520
2960
2700
20
42
8080
6280
0460
3350
6160
0480
23
11
45
7640
3360
5560
7320
19
1960
35
5560
8560
3360
26
4720
1000
6920
4480
0960
6640
8320
6280
1580
5560
5880
6840
5945
6280
8280
7240
8160
5360
4600
2080
1600
FY 06
CBSA
code
39
44
45300
23104
37964
26380
28
20
17140
47894
30140
28740
25
35644
39100
39740
42
14020
42340
44
43580
42340
23844
15980
20
42
48260
38300
36780
26380
37964
11700
23
11
45
43300
26420
35380
41740
19
19340
35
35380
46140
26420
26
31540
13820
40900
31084
13780
20500
45460
38300
16940
35380
37
40380
42044
38300
45300
41700
45060
34980
31180
19740
16974
30326
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
TABLE 3.—INPATIENT REHABILITATION FACILITIES WITH CORRESPONDING STATE AND COUNTY LOCATION; CURRENT
LABOR MARKET AREA DESIGNATION; AND PROPOSED NEW CBSA-BASED LABOR MARKET AREA DESIGNATION—Continued
Provider
number
23T046
46T009
50T008
25T001
39T178
39T011
39T002
39T091
39T107
393042
39T131
39T102
36T174
46T001
493029
45T033
29T021
05T283
05T126
06T075
37T020
143028
443028
49T032
193047
173028
453083
33T242
49T021
50T005
24T084
14T033
42T098
36T195
34T069
03T061
113026
39T286
29T049
293030
52T008
52T030
22T066
11T143
11T035
50T148
453091
173027
11T203
52T139
10T231
45T644
19T039
44T002
513029
33T234
39T090
17T175
14T240
39T145
15T129
34T014
04T100
05T103
04T119
223028
223033
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VerDate jul<14>2003
SSA
State and
county
code
Provider name
UNIVERSITY OF UTAH HOSPITAL .............................................................................................
UNIVERSITY OF WASHINGTON MED CTR ...............................................................................
UNIVERSITY REHABILITATION CENTER ..................................................................................
UPMC HORIZON ..........................................................................................................................
UPMC LEE REGIONAL REHAB UNIT .........................................................................................
UPMC MCKEESPORT ..................................................................................................................
UPMC NORTHWEST ....................................................................................................................
UPMC PASSAVANT-REHABILITATION CENTER ......................................................................
UPMC REHABILITATION HOSPITAL ..........................................................................................
UPMC SOUTHSIDE ......................................................................................................................
UPMC ST MARGARET .................................................................................................................
UPPER VALLEY MEDICAL CENTER ..........................................................................................
UTAH VALLEY REGIONAL MEDICAL CENTER-REHABILITATION ..........................................
UVA-HEALTHSOUTH REHABILITATION HOSPITAL .................................................................
VALLEY BAPTIST HEALTH SYSTEM REHAB UNIT ..................................................................
VALLEY HOSPITAL MEDICAL CENTER REHABILITAION UNIT ...............................................
VALLEY MEMORIAL HOSPITAL ..................................................................................................
VALLEY PRESBYTERIAN HOSPITAL .........................................................................................
VALLEY VIEW HOSPITAL ............................................................................................................
VALLEY VIEW REGIONAL HOSPITAL ........................................................................................
VAN MATRE HEALTHSOUTH REHABILITATION HOSPITAL ....................................................
VANDERBILT STALLWORTH REHAB HOSPITAL ......................................................................
VCUHS ..........................................................................................................................................
VERMILION REHABILITATION HOSPITAL .................................................................................
VIA CHRISTI REHABILITATION CENTER ..................................................................................
VICTORIA WARM SPRINGS REHAB HOSPITAL .......................................................................
VICTORY MEMORIAL HOSPITAL ...............................................................................................
VIRGINIA BAPTIST HOSPITAL ....................................................................................................
VIRGINIA MASON MEDICAL CENTER .......................................................................................
VIRGINIA REGIONAL MEDICAL CENTER ..................................................................................
VISTA HEALTH ST. THERESE REHAB UNIT .............................................................................
WACCAMAW REHABILITATION CENTER ..................................................................................
WADSWORTH RITTMAN HOSPITAL ..........................................................................................
WAKEMED REHAB ......................................................................................................................
WALTER O. BOSWELL MEMORIAL HOSPITAL .........................................................................
WALTON REHABILITATION HOSPITAL .....................................................................................
WARMINSTER HOSPITAL ...........................................................................................................
WASHOE MEDICAL CENTER REHABILITATION HOSPITAL ....................................................
WASHOE VILLAGE REHAB .........................................................................................................
WAUKESHA MEMORIAL HOSPITAL ...........................................................................................
WAUSAU HOSPITAL ....................................................................................................................
WELDON CENTER FOR REHABILITATION ...............................................................................
WELLSTAR COBB HOSPITAL .....................................................................................................
WELLSTAR KENNESTONE INPATIENT REHAB ........................................................................
WENATCHEE VALLEY HOSPITAL REHABILITATION CENTER ...............................................
WESLACO REHABILITATION HOSPITAL ...................................................................................
WESLEY REHABILITATION HOSPITAL ......................................................................................
WESLEY WOODS GERIATRIC HOSPITAL .................................................................................
WEST ALLIS MEMORIAL HOSPITAL ..........................................................................................
WEST FLORIDA REHAB INSTITUTE ..........................................................................................
WEST HOUSTON MEDICAL CENTER ........................................................................................
WEST JEFFERSON MEDICAL CENTER ....................................................................................
WEST TENNESSEE REHABILITATION CENTER ......................................................................
WEST VIRGINIA REHAB HOSP ..................................................................................................
WESTCHESTER MEDICAL CENTER ..........................................................................................
WESTERN PENNSYLVANIA HOSPITAL .....................................................................................
WESTERN PLAINS MEDICAL COMPLEX ...................................................................................
WESTLAKE HOSPITAL ................................................................................................................
WESTMORELAND REGIONAL HOSPITAL .................................................................................
WESTVIEW HOSPITAL ................................................................................................................
WHITAKER REHABILITATION CENTER .....................................................................................
WHITE COUNTY MEDICAL CENTER .........................................................................................
WHITE MEMORIAL MEDICAL CENTER .....................................................................................
WHITE RIVER MEDICAL CENTER ..............................................................................................
WHITTIER REHABILITATION HOSPITAL ...................................................................................
WHITTIER REHABILTATION HOSPITAL ....................................................................................
WICHITA VALLEY REHABILITATION HOSPITAL .......................................................................
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39010
39010
39010
36560
46240
49191
45240
29010
05000
05200
06070
37610
14991
44180
49791
19480
17860
45948
33331
49551
50160
24680
14570
42210
36530
34910
03060
11840
39140
29120
29150
52660
52360
22070
11290
11290
50030
45650
17860
11370
52390
10160
45610
19250
44560
51190
33800
39010
17280
14141
39770
15480
34330
04720
05200
04310
22040
22170
45960
FY 06
MSA
code
0440
7160
7600
3560
7610
3680
6280
39
6280
6280
6280
6280
2000
6520
1540
1240
4120
5775
4480
06
37
6880
5360
6760
3880
9040
8750
5600
4640
7600
2240
1600
42
1680
6640
6200
0600
6160
29
6720
5080
8940
8003
0520
0520
50
4880
9040
0520
5080
6080
3360
5560
3580
1480
5600
6280
17
1600
6280
3480
3120
04
4480
04
1123
1123
FY 06
CBSA
code
11460
41620
42644
27140
49660
27780
38300
39
38300
38300
38300
38300
19380
39340
16820
15180
29820
36084
31084
06
37
40420
34980
40060
19
48620
47020
35644
31340
42644
20260
29404
42
17460
39580
38060
12260
37964
16180
39900
33340
48140
44140
12060
12060
48300
32580
48620
12060
33340
37860
26420
35380
27180
16620
35644
38300
17
16974
38300
26900
49180
04
31084
04
21604
49340
30327
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 / Proposed Rules
TABLE 3.—INPATIENT REHABILITATION FACILITIES WITH CORRESPONDING STATE AND COUNTY LOCATION; CURRENT
LABOR MARKET AREA DESIGNATION; AND PROPOSED NEW CBSA-BASED LABOR MARKET AREA DESIGNATION—Continued
Provider
number
453088
38T071
23T130
39T045
19T111
45T469
45T393
49T005
15T014
10T052
33T239
33T396
45T484
53T012
50T012
07T022
033034
45T766
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code
Provider name
WILLAMETTE VALLEY MEDICAL CENTER ................................................................................
WILLIAM BEAUMONT HOSPITAL ...............................................................................................
WILLIAM N. WISHARD MEMORIAL HOSPITAL .........................................................................
WILLIAMSPORT HOSPITAL REHAB ...........................................................................................
WILLIS-KNIGHTON MEDICAL CENTER .....................................................................................
WILSON N. JONES MEDICAL CENTER-MAIN CAMPUS ..........................................................
WILSON N. JONES MEDICAL CENTER-NORTH CAMPUS .......................................................
WINCHESTER REHABILITATION CTR .......................................................................................
WINONA MEMORIAL HOSPITAL ................................................................................................
WINTER HAVEN HOSPITAL ........................................................................................................
WOMANS CHRISTIAN ASSOCIATION ........................................................................................
WOODHULL MEDICAL CENTER .................................................................................................
WOODLAND HEIGHTS MEDICAL CENTER ...............................................................................
WYOMING MEDICAL CENTER ...................................................................................................
YAKIMA REGIONAL .....................................................................................................................
YALE-NEW HAVEN HOSPITAL ...................................................................................................
YUMA REHABILITATION HOSPITAL ..........................................................................................
ZALE LIPSHY UNIVERSITY HOSPITAL ......................................................................................
[FR Doc. 05–10264 Filed 5–19–05; 4:00 pm]
BILLING CODE 4120–01–P
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45564
49962
15480
10520
33060
33331
45020
53120
50380
07040
03130
45390
FY 06
MSA
code
9080
6440
2160
9140
7680
7640
7640
49
3480
3980
3610
5600
45
1350
9260
5483
9360
1920
FY 06
CBSA
code
48660
38900
47644
48700
43340
43300
43300
49020
26900
29460
33
35644
45
16220
49420
35300
49740
19124
Agencies
[Federal Register Volume 70, Number 100 (Wednesday, May 25, 2005)]
[Proposed Rules]
[Pages 30188-30327]
From the Federal Register Online via the Government Printing Office [www.gpo.gov]
[FR Doc No: 05-10264]
[[Page 30187]]
-----------------------------------------------------------------------
Part II
Department of Health and Human Services
-----------------------------------------------------------------------
Centers for Medicare & Medicaid Services
-----------------------------------------------------------------------
42 CFR Part 412
Medicare Program; Inpatient Rehabilitation Facility Prospective Payment
System for FY 2006; Proposed Rule
Federal Register / Vol. 70, No. 100 / Wednesday, May 25, 2005 /
Proposed Rules
[[Page 30188]]
-----------------------------------------------------------------------
DEPARTMENT OF HEALTH AND HUMAN SERVICES
Centers for Medicare & Medicaid Services
42 CFR Part 412
[CMS-1290-P]
RIN 0938-AN43
Medicare Program; Inpatient Rehabilitation Facility Prospective
Payment System for FY 2006
AGENCY: Centers for Medicare & Medicaid Services (CMS), HHS.
ACTION: Proposed rule.
-----------------------------------------------------------------------
SUMMARY: This proposed rule would update the prospective payment rates
for inpatient rehabilitation facilities for Federal fiscal year 2006 as
required under section 1886(j)(3)(C) of the Social Security Act (the
Act). Section 1886(j)(5) of the Act requires the Secretary to publish
in the Federal Register on or before August 1 before each fiscal year,
the classification and weighting factors for the inpatient
rehabilitation facilities case-mix groups and a description of the
methodology and data used in computing the prospective payment rates
for that fiscal year.
In addition, we are proposing new policies and are proposing to
change existing policies regarding the prospective payment system
within the authority granted under section 1886(j) of the Act.
DATES: To be assured consideration, comments must be received at one of
the addresses provided below, no later than 5 p.m. on July 18, 2005.
ADDRESSES: In commenting, please refer to file code CMS-1290-P. Because
of staff and resource limitations, we cannot accept comments by
facsimile (FAX) transmission.
You may submit comments in one of three ways (no duplicates,
please):
1. Electronically. You may submit electronic comments on specific
issues in this regulation to https://www.cms.hhs.gov/regulations/
ecomments. (Attachments should be in Microsoft Word, WordPerfect, or
Excel; however, we prefer Microsoft Word.)
2. By mail. You may mail written comments (one original and two
copies) to the following address ONLY: Centers for Medicare & Medicaid
Services, Department of Health and Human Services, Attention: CMS-1290-
P, P.O. Box 8010, Baltimore, MD 21244-8010.
Please allow sufficient time for mailed comments to be received
before the close of the comment period.
3. By hand or courier. If you prefer, you may deliver (by hand or
courier) your written comments (one original and two copies) before the
close of the comment period to one of the following addresses. 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. Room 445-G, Hubert H. Humphrey Building,
200 Independence Avenue, SW., Washington, DC 20201; or 7500 Security
Boulevard, Baltimore, MD 21244-1850.
(Because access to the interior of the HHH 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.)
Comments mailed to the addresses indicated as appropriate for hand
or courier delivery may be delayed and received after the comment
period.
For information on viewing public comments, see the beginning of
the SUPPLEMENTARY INFORMATION section.
FOR FURTHER INFORMATION CONTACT: Pete Diaz, (410) 786-1235. Susanne
Seagrave, (410) 786-0044. Mollie Knight, (410) 786-7984 for information
regarding the market basket and labor-related share. August Nemec,
(410) 786-0612 for information regarding the tier comorbidities. Zinnia
Ng, (410) 786-4587 for information regarding the wage index and Core-
Based Statistical Areas (CBSAs).
SUPPLEMENTARY INFORMATION:
Submitting Comments: We welcome comments from the public on all
issues set forth in this rule to assist us in fully considering issues
and developing policies. You can assist us by referencing the file code
CMS-1290-P and the specific ``issue identifier'' that precedes the
section on which you choose to comment.
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. CMS posts all electronic
comments received before the close of the comment period on its public
Web site as soon as possible after they have been received. Hard copy
comments received timely will 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
I. Background
A. General Overview of the Current Inpatient Rehabilitation Facility
Prospective Payment System (IRF PPS)
B. Requirements for Updating the Prospective Payment Rates for IRFs
C. Operational Overview of the Current IRF PPS
D. Quality of Care in IRFs
E. Research to Support Refinements of the Current IRF PPS
F. Proposed Refinements to the IRF PPS for Fiscal Year 2006
II. Proposed Refinements to the Patient Classification System
A. Proposed Changes to the IRF Classification System
1. Development of the IRF Classification System
2. Description and Methodology Used to Develop the IRF
Classification System in the August 7, 2001 Final Rule
a. Rehabilitation Impairment Categories
b. Functional Status Measures and Age
c. Comorbidities
d. Development of CMG Relative Weights
e. Overview of Development of the CMG Relative Weights
B. Proposed Changes to the Existing List of Tier Comorbidities
1. Proposed Changes To Remove Codes That Are Not Positively Related
to Treatment Costs
2. Proposed Changes to Move Dialysis to Tier One
3. Proposed Changes to Move Comorbidity Codes Based on Their
Marginal Cost
C. Proposed Changes to the CMGs
1. Proposed Changes for Updating the CMGs
2. Proposed Use of a Weighted Motor Score Index and Correction to
the Treatment of Unobserved Transfer to Toilet Values
3. Proposed Changes for Updating the Relative Weights
III. Proposed FY 2006 Federal Prospective Payment Rates
A. Proposed Reduction of the Standard Payment Amount to Account for
Coding Changes
B. Proposed Adjustments to Determine the Proposed FY 2006 Standard
Payment Conversion Factor
1. Proposed Market Basket Used for IRF Market Basket Index
a. Overview of the Proposed RPL Market Basket
b. Proposed Methodology for Operating Portion of the Proposed RPL
Market Basket
c. Proposed Methodology for Capital Proportion of the RPL Market
Basket
d. Labor-Related Share
2. Proposed Area Wage Adjustment
a. Proposed Revisions of the IRF PPS Geographic Classification
b. Current IRF PPS Labor Market Areas Based on MSAs
[[Page 30189]]
c. Core-Based Statistical Areas (CBSAs)
d. Proposed Revisions of the IRF PPS Labor Market Areas
i. New England MSAs
ii. Metropolitan Divisions
iii. Micropolitan Areas
e. Implementation of the Proposed Changes to Revise the Labor Market
Areas
f. Wage Index Data
3. Proposed Teaching Status Adjustment
4. Proposed Adjustment for Rural Location
5. Proposed Adjustment for Disproportionate Share of Low-Income
Patients
6. Proposed Update to the Outlier Threshold Amount
7. Proposed Budget Neutrality Factor Methodology for Fiscal Year
2006
8. Description of the Methodology Used to Implement the Proposed
Changes in a Budget Neutral Manner
9. Description of the Proposed IRF Standard Payment Conversion
Factor for Fiscal Year 2006
10. Example of the Proposed Methodology for Adjusting the Federal
Prospective Payment Rates
IV. Provisions of the Proposed Regulations
V. Collection of Information Requirements
VI. Response to Comments
VII. Regulatory Impact Analysis
Acronyms
Because of the many terms to which we refer by acronym in this
propose rule, we are listing the acronyms used and their corresponding
terms in alphabetical order below.
ADC--Average Daily Census
AHA--American Hospital Association
AMI--Acute Myocardial Infarction
BBA--Balanced Budget Act of 1997 (BBA), Pub. L. 105-33
BBRA--Medicare, Medicaid, and SCHIP [State Children's Health Insurance
Program] Balanced Budget Refinement Act of 1999, Pub. L. 106-113
BIPA--Medicare, Medicaid, and SCHIP [State Children's Health Insurance
Program] Benefits Improvement and Protection Act of 2000, Pub. L. 106-
554
BLS--Bureau of Labor Statistics
CART--Classification and Regression Trees
CBSA--Core-Based Statistical Areas
CCR--Cost-to-charge ratio
CMGs--Case-Mix Groups
CMI--Case Mix Index
CMSA--Consolidated Metropolitan Statistical Area
CPI--Consumer Price Index
DSH--Disproportionate Share Hospital
ECI--Employment Cost Index
FI--Fiscal Intermediary
FIM--Functional Independence Measure
FIM-FRGs--Functional Independence Measures--Function Related Groups
FRG--Function Related Group
FTE--Full-time equivalent
FY--Federal Fiscal Year
GME--Graduate Medical Education
HCRIS--Healthcare Cost Report Information System
HIPAA--Health Insurance Portability and Accountability Act
HHA--Home Health Agency
IME--Indirect Medical Education
IFMC--Iowa Foundation for Medical Care
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
LIP--Low-income percentage
MEDPAR--Medicare Provider Analysis and Review
MSA--Metropolitan Statistical Area
NECMA--New England County Metropolitan Area
NOS--Not Otherwise Specified
NTIS--National Technical Information Service
OMB--Office of Management and Budget
OSCAR--Online Survey, Certification, and Reporting
PAI--Patient Assessment Instrument
PLI--Professional Liability Insurance
PMSA--Primary Metropolitan Statistical Area
PPI--Producer Price Index
PPS--Prospective Payment System
RIC--Rehabilitation Impairment Category
RPL--Rehabilitation Hospital, Psychiatric Hospital, and Long-Term Care
Hospital Market Basket
TEFRA--Tax Equity and Fiscal Responsibility Act
TEP--Technical Expert Panel
I. Background
[If you choose to comment on issues in this section, please include the
caption ``Background'' at the beginning of your comments.]
A. General Overview of the Current Inpatient Rehabilitation Facility
Prospective Payment System (IRF PPS)
Section 4421 of the Balanced Budget Act of 1997 (BBA) (Pub. L. 105-
33), as amended by section 125 of the Medicare, Medicaid, and SCHIP
[State Children's Health Insurance Program] Balanced Budget Refinement
Act of 1999 (BBRA) (Pub. L. 106-113), and by section 305 of the
Medicare, Medicaid, and SCHIP Benefits Improvement and Protection Act
of 2000 (BIPA) (Pub. L. 106-554), provides for the implementation of a
per discharge prospective payment system (PPS), through 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 costs of approved
educational 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 August 7, 2001 final rule, we are providing
below a general description of the IRF PPS.
The IRF PPS, as described in the August 7, 2001 final rule, uses
Federal prospective payment rates across 100 distinct case-mix groups
(CMGs). Ninety-five CMGs were constructed using rehabilitation
impairment categories, functional status (both motor and cognitive),
and age (in some cases, cognitive status and age may not be a factor in
defining a CMG). Five special CMGs were constructed 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 account for the relative difference
in resource use across all CMGs. Within each CMG, the weighting factors
were ``tiered'' based on the estimated effects that certain
comorbidities have on resource use.
The Federal PPS rates were established using a standardized payment
amount (previously referred to as the budget-neutral conversion
factor). The standardized payment amount was previously called the
budget neutral conversion factor because it reflected a budget
neutrality adjustment for FYs 2001 and 2002, as described in Sec.
412.624(d)(2). However, the statute requires a budget neutrality
adjustment only for FYs 2001 and 2002. Accordingly, for subsequent
years we believe it is more consistent with the statute to refer to the
standardized payment as the standardized payment conversion factor,
rather than refer to it as a budget neutral conversion factor (see 68
FR 45674, 45684 and 45685). Therefore, we will refer to the
standardized payment amount in this proposed rule as the standard
payment conversion factor.
For each of the tiers within a CMG, the relative weighting factors
were
[[Page 30190]]
applied to the standard payment conversion factor to compute the
unadjusted Federal prospective payment rates. Under the current system,
adjustments that accounted for geographic variations in wages (wage
index), the percentage of low-income patients, and location in a rural
area were applied to the IRF's unadjusted Federal prospective payment
rates. In addition, adjustments were made to account for the early
transfer of a patient, interrupted stays, and high cost outliers.
Lastly, the IRF's final prospective payment amount was determined
under the transition methodology prescribed in section 1886(j) of the
Act. Specifically, for cost reporting periods that began on or after
January 1, 2002 and before October 1, 2002, section 1886(j)(1) of the
Act and as specified in Sec. 412.626 provides that IRFs transitioning
into the PPS would receive a ``blended payment.'' For cost reporting
periods that began on or after January 1, 2002 and before October 1,
2002, these blended payments consisted of 66\2/3\ percent of the
Federal IRF PPS rate and 33\1/3\ percent of the payment that the IRF
would have been paid had the IRF PPS not been implemented. However,
during the transition period, an IRF with a cost reporting period
beginning on or after January 1, 2002 and before October 1, 2002 could
have elected to bypass this blended payment and be paid 100 percent of
the Federal IRF PPS rate. For cost reporting periods beginning on or
after October 1, 2002 (FY 2003), the transition methodology expired,
and payments for all IRFs consist of 100 percent of the Federal IRF PPS
rate.
We established a CMS Web site that contains useful information
regarding the IRF PPS. The Web site URL is www.cms.hhs.gov/providers/
irfpps/default.asp and may be accessed to download or view
publications, software, and other information pertinent to the IRF PPS.
B. Requirements for Updating the Prospective Payment Rates for IRFs
On August 7, 2001, we published a final rule entitled ``Medicare
Program; Prospective Payment System for Inpatient Rehabilitation
Facilities'' in the Federal Register (66 FR at 41316), that established
a PPS for IRFs as authorized under section 1886(j) of the Act and
codified at subpart P of part 412 of the Medicare regulations. In the
August 7, 2001 final rule, we set forth the per discharge Federal
prospective payment rates for fiscal year (FY) 2002 that provided
payment for inpatient operating and capital costs of furnishing covered
rehabilitation services (that is, routine, ancillary, and capital
costs) but not costs of approved educational activities, bad debts, and
other services or items that are outside the scope of the IRF PPS. The
provisions of the August 7, 2001 final rule were effective for cost
reporting periods beginning on or after January 1, 2002. On July 1,
2002, we published a correcting amendment to the August 7, 2001 final
rule in the Federal Register (67 FR at 44073). Any references to the
August 7, 2001 final rule in this proposed rule include the provisions
effective in the correcting amendment.
Section 1886(j)(5) of the Act and Sec. 412.628 of the regulations
require the Secretary to publish in the Federal Register, on or before
August 1 of the preceding FY, the classifications and weighting factors
for the IRF CMGs and a description of the methodology and data used in
computing the prospective payment rates for the upcoming FY. On August
1, 2002, we published a notice in the Federal Register (67 FR at 49928)
to update the IRF Federal prospective payment rates from FY 2002 to FY
2003 using the methodology as described in Sec. 412.624. As stated in
the August 1, 2002 notice, we used the same classifications and
weighting factors for the IRF CMGs that were set forth in the August 7,
2001 final rule to update the IRF Federal prospective payment rates
from FY 2002 to FY 2003. We have continued to update the prospective
payment rates each year in accordance with the methodology set forth in
the August 7, 2001 final rule.
In this proposed rule, we are proposing to update the IRF Federal
prospective payment rates from FY 2005 to FY 2006, and we are proposing
revisions to the methodology described in Sec. 412.624. The proposed
changes to the methodology are described in more detail in this
proposed rule. For example, we are proposing to add a new teaching
status adjustment, and we are proposing to implement other changes to
existing policies in a budget neutral manner, which requires applying
additional budget neutrality factors to the standard payment amount to
calculate the standard payment conversion factor for FY 2006. See
section III of this proposed rule for further discussion of the
proposed FY 2006 Federal prospective payment rates. The proposed FY
2006 Federal prospective payment rates would be effective for
discharges on or after October 1, 2005 and before October 1, 2006.
C. Operational Overview of the Current IRF PPS
As described in the August 7, 2001 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, the Inpatient Rehabilitation Facility-Patient Assessment
Instrument (IRF-PAI). All required data must be electronically encoded
into the IRF-PAI software product. Generally, the software product
includes patient grouping programming called the GROUPER software. The
GROUPER software uses specific Patient Assessment Instrument (PAI) data
elements to classify (or group) the patient into a distinct CMG 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 at the CMS Web site at
www.cms.hhs.gov/providers/irfpps/default.asp).
Once the patient is discharged, the IRF completes the Medicare
claim (UB-92 or its equivalent) using the 5-digit CMG number and sends
it to the appropriate Medicare fiscal intermediary (FI). (Claims
submitted to Medicare must comply with both the Administrative
Simplification Compliance Act (ASCA), Pub. L. 107-105, and the Health
Insurance Portability and Accountability Act of 1996 (HIPAA), Pub. L.
104-191. Section 3 of ASCA requires the Medicare Program, subject to
subsection (H), 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.'' Subsection (h) provides
that the Secretary shall waive such denial in two types of cases and
may also waive such denial ``in such unusual cases as the Secretary
finds appropriate.'' See also, 68 FR at 48805 (August 15, 2003).
Section 3 of ASCA operates in the context of the Administrative
Simplification provisions of HIPAA, which include, among others, the
transactions and code sets standards requirements codified as 45 CFR
part 160 and 162, subparts A and I through R (generally known as the
Transactions Rule). The Transactions Rule requires covered entities,
including covered providers, to conduct covered electronic transactions
according to the applicable
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transaction standards. See the program claim memoranda issued and
published by CMS at www.cms.hhs.gov/providers/edi/default.asp, https://
www.cms.hhs.gov/provider/edi/default.asp and listed in the addenda to
the Medicare Intermediary Manual, Part 3, section 3600. Instructions
for the limited number of claims submitted to Medicare on paper are
located in section 3604 of Part 3 of the Medicare Intermediary Manual.)
The Medicare Fiscal Intermediary (FI) 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.
D. Quality of Care in IRFs
The IRF-PAI is the patient data collection instrument for IRFs.
Currently, the IRF-PAI contains a blend of the functional independence
measures items and quality and medical needs questions. The quality and
medical needs questions (which are currently collected on a voluntary
basis) may need to be modified to encapsulate those data necessary for
calculation of quality indicators in the future.
We awarded a contract to the Research Triangle Institute (RTI) with
the primary tasks of identifying quality indicators pertinent to the
inpatient rehabilitation setting and determining what information is
necessary to calculate those quality indicators. These tasks included
reviewing literature and other sources for existing rehabilitation
quality indicators. It also involved identifying organizations involved
in measuring or monitoring quality of care in the inpatient
rehabilitation setting. In addition, RTI was tasked with performing
independent testing of the quality indicators identified in their
research.
Once RTI has issued a final report, we will determine which
quality-related items should be listed on the IRF-PAI. The revised IRF-
PAI will need to be approved by OMB before it is used in IRFs.
We would like to take this opportunity to discuss our thinking
related to broader initiatives in this area related to quality of care.
We have supported the development of valid quality measures and have
been engaged in a variety of quality improvement efforts focused in
other post-acute care settings such as nursing homes. However, as
mentioned above, any new quality-related data collected from the IRF-
PAI would have to be analyzed to determine the feasibility of
developing a payment method that accounts for the performance of the
IRF in providing the necessary rehabilitative care.
Medicare beneficiaries are the primary users of IRF services. Any
quality measures must be carefully constructed to address the unique
characteristics of this population. Similarly, we need to consider how
to design effective incentives; that is, superior performance measured
against pre-established benchmarks and/or performance improvements.
In addition, while our efforts to develop the various post-acute
care PPSs, including the IRF PPS, have generated substantial
improvements over the preexisting cost-based systems, each of these
individual systems was developed independently. As a result, we have
focused on phases of a patient's illness as defined by a specific site
of service, rather than on the entire post-acute episode. As the
differentiation among provider types (such as SNFs and IRFs) becomes
less pronounced, we need to investigate a more coordinated approach to
payment and delivery of post-acute services that focuses on the overall
post-acute episode.
This could entail a strategy of developing payment policy that is
as neutral as possible regarding provider and patient decisions about
the use of particular post-acute services. That is, Medicare should
provide payments sufficient to ensure that beneficiaries receive high
quality care in the most appropriate setting, so that admissions and
any transfers between settings occur only when consistent with good
care, rather than to generate additional revenues. In order to
accomplish this objective, we need to collect and compare clinical data
across different sites of service.
In fact, in the long run, our ability to compare clinical data
across care settings is one of the benefits that will be realized as a
basic component of the Department's interest in the use of a
standardized electronic health record (EHR) across all settings
including IRFs. It is also important to recognize the complexity of the
effort, not only in developing an integrated assessment tool that is
designed using health information standards, but in examining the
various provider-centric prospective payment methodologies and
considering payment approaches that are based on patient
characteristics and outcomes. MedPAC has recently taken a preliminary
look at the challenges in improving the coordination of our post-acute
care payment methods, and suggested that it may be appropriate to
explore additional options for paying for post-acute services. We agree
that CMS, in conjunction with MedPAC and other stakeholders, should
consider a full range of options in analyzing our post-acute care
payment methods, including the IRF PPS.
We also want to encourage incremental changes that will help us
build towards these longer term objectives. For example, medical
records tools are now available that could allow better coordinated
discharge planning procedures. These tools can be used to ensure
communication of a standardized data set that then can be used to
establish a comprehensive IRF care plan. Improved communications may
reduce the incidence of potentially avoidable rehospitalizations and
other negative impacts on quality of care that occur when patients are
transferred to IRFs without a full explanation of their care needs. We
are looking at ways that Medicare providers can use these tools to
generate timely data across settings.
At this time, we do not offer specific proposals related to the
preceding discussion. Finally, some of the ideas discussed here may
exceed our current statutory authority. However, we believe that it is
useful to encourage discussion of a broad range of ideas for debate of
the relative advantages and disadvantages of the various policies
affecting this important component of the health care sector. We
welcome comments on these and other approaches.
E. Research To Support Refinements of the Current IRF PPS
As described in the August 7, 2001 final rule, we contracted with
the RAND Corporation (RAND) to analyze IRF data to support our efforts
in developing the CMG patient classification system and the IRF PPS.
Since then, we have continued our contract with RAND to support us in
developing potential refinements to the classification system and the
PPS. RAND has also developed a system to monitor the effects of the IRF
PPS on patients' access to IRF care and other post-acute care services.
In 1995, RAND began extensive research, sponsored by us, on the
development of a per-discharge based PPS using a patient classification
system known as Functional Independence Measures-Function Related
Groups (FIM-FRGs) for IRFs. The results of RAND's earliest research,
using 1994
[[Page 30192]]
data, were released in September 1997 and are contained in two reports
available through the National Technical Information Service (NTIS).
The reports are: Classification System for Inpatient Rehabilitation
Patients--A Review and Proposed Revisions to the Function Independence
Measure-Function Related Groups, NTIS order number PB98-105992INZ, and
Prospective Payment System for Inpatient Rehabilitation, NTIS order
number PB98-106024INZ.
In July 1999, we contracted with RAND to update its earlier
research. The update included an analysis of Functional Independence
Measure (FIM) data, the Function Related Groups (FRGs), and the model
rehabilitation PPS using 1996 and 1997 data. The purpose of updating
the earlier research was to develop the underlying data necessary to
support the Medicare IRF PPS based on CMGs for the November 3, 2000
proposed rule (65 FR at 66313). RAND expanded the scope of its earlier
research to include the examination of several payment elements, such
as comorbidities, facility-level adjustments, and implementation
issues, including evaluation and monitoring. Then, to develop the
provisions of the August 7, 2001 final rule (66 FR 41316, 41323), RAND
did similar analysis on calendar year 1998 and 1999 Medicare Provider
Analysis and Review (MedPAR) files and patient assessment data.
We have continued to contract with RAND to help us identify
potential refinements to the IRF PPS. RAND conducted updated analyses
of the patient classification system, case mix and coding changes, and
facility-level adjustments for the IRF PPS using data from calendar
year 2002 and FY 2003. This is the first time CMS or RAND has had data
generated by IRFs after the implementation of the IRF PPS that are
available for data analysis. The refinements we are proposing to make
to the IRF PPS are based on the analyses and recommendations from RAND.
In addition, RAND sought advice from a technical expert panel (TEP),
which reviewed their methodology and findings.
F. Proposed Refinements to the IRF PPS for Fiscal Year 2006
Based on analyses by RAND using calendar year 2002 and FY 2003
data, we are proposing refinements to the IRF PPS case-mix
classification system (the CMGs and the corresponding relative weights)
and the case-level and facility-level adjustments. Several new
developments warrant these proposed refinements, including--(1) the
availability of more recent 2002 and 2003 data; (2) better coding of
comorbidities and patient severity; (3) more complete data; (4) new
data sources for imputing missing values; and (5) improved statistical
approaches.
In this proposed rule, we are proposing to make the following
revisions:
Reduce the standard payment amount by 1.9 percent.
In the August 7, 2001 final rule, we used cost report data from FYs
1998, 1997, and/or 1996 and calendar year 1999 Medicare bill data in
calculating the initial PPS payment rates. As discussed in detail in
section III.A of this proposed rule, analysis of calendar year 2002
data indicates that the standard payment conversion factor is now at
least 1.9 percent higher than it should be to reflect the actual costs
of caring for Medicare patients in IRFs. The data demonstrate that this
is largely because the implementation of the IRF PPS caused important
changes in IRFs' coding practices, including increased accuracy and
consistency in coding.
Make revisions to the comorbidity tiers and the CMGs.
In the August 7, 2001 final rule, we used FIM and Medicare data
from 1998 and 1999 to construct the CMGs and to assign the comorbidity
tiers. As discussed in detail in section II of this proposed rule,
analysis of calendar year 2002 and FY 2003 data indicates the need to
refine the comorbidity tiers and the CMGs to better reflect the costs
of Medicare cases in IRFs.
Adopt the new geographic labor market area definitions
based on the definitions created by the Office of Management and Budget
(OMB), known as Core-Based Statistical Areas (CBSAs), for purposes of
computing the proposed wage index adjustment to IRF payments.
Historically, Medicare PPSs have used market area definitions
developed by OMB. We are proposing to adopt new market area definitions
which are based on OMB definitions. As discussed in detail in section
III.B.2 of this proposed rule, we believe that these designations more
accurately reflect the local economies and wage levels of the areas in
which hospitals are located. These are the same labor market area
definitions implemented for acute care inpatient hospitals under the
hospital inpatient prospective payment system (IPPS) as specified in
Sec. 412.64(b)(1)(ii)(A) through (C), which were effective for those
hospitals beginning October 1, 2004 as discussed in the August 11, 2004
IPPS final rule (69 FR at 49026 through 49032).
Implement a teaching status adjustment to payments for
services provided in IRFs that are, or are part of, teaching hospitals.
In previous rules, including the August 7, 2001 final rule, we
noted that analyses of the data did not support a teaching adjustment.
However, analysis of the more recent calendar year 2002 and fiscal year
2003 data supports a teaching status adjustment. For the first time, as
discussed in detail in section III.B.3 of this proposed rule, the data
analysis has demonstrated a statistically significant relationship
between an IRF's teaching status and the costs of caring for patients
in that IRF. We believe this may suggest the need to account for the
higher costs associated with major teaching programs. For reasons
discussed in detail in section III.B.3 of this proposed rule, we are
proposing to implement the new teaching status adjustment in a budget
neutral manner. However, we have some concerns about proposing a
teaching status adjustment for IRFs at this time (as discussed in
detail in section III.B.3 of this proposed rule). Because of these
concerns, we are specifically soliciting comments on our consideration
of an IRF teaching status adjustment.
Update the formulas used to compute the rural and the low-
income patient (LIP) adjustments to IRF payments.
In the August 7, 2001 final rule, we implemented an adjustment to
account for the higher costs in rural IRFs by multiplying their
payments by 1.1914. As discussed in detail in section III.B.4 of this
proposed rule, the regression analysis RAND performed on fiscal year
2003 data suggests that this rural adjustment should be updated to
1.241 to account for the differences in costs between rural and urban
IRFs.
Similarly, in the August 7, 2001 final rule, we implemented an
adjustment to payments to reflect facilities' low-income patient
percentage calculated as (1+ the disproportionate share hospital (DSH)
patient percentage) raised to the power of 0.4838. As discussed in
detail in section III.B.5 of this proposed rule, the regression
analysis RAND performed on fiscal year 2003 data indicates that the LIP
adjustment should now be calculated as (1 + DSH patient percentage)
raised to the power of 0.636. For reasons discussed in detail in
section III.B.5 of this proposed rule, we are proposing to implement
the changes to these adjustments in a budget neutral manner.
Update the outlier threshold amount from $11,211 (FY 2005)
to $4,911 (FY 2006) to maintain total estimated outlier payments at 3
percent of total estimated payments.
[[Page 30193]]
In the August 7, 2001 final rule, we describe the process by which
we calculate the outlier threshold, which involves simulating payments
and then determining a threshold that would result in outlier payments
being equal to 3 percent of total payments under the simulation. As
discussed in detail in section III.B.6 of this proposed rule, we
believe based on RAND's regression analysis that all of the other
proposed updates to the IRF PPS, including the structure of the CMGs
and the tiers, the relative weights, and the facility-level adjustments
(such as the rural adjustment, the LIP adjustment, and the proposed
teaching status adjustment) make it necessary to propose to adjust the
outlier threshold amount.
II. Proposed Refinements to the Patient Classification System
[If you choose to comment on issues in this section, please include the
caption ``Proposed Refinements to the Patient Classification System''
at the beginning of your comments.]
A. Proposed Changes to the IRF Classification System
1. Development of the IRF Classification System
Section 1886(j)(2)(A)(i) of the Act, as amended by section 125 of
the Medicare, Medicaid, and SCHIP Balanced Budget Refinement Act of
1999 requires the Secretary to establish ``classes of patient
discharges of rehabilitation facilities by functional-related groups
(each referred to as a case-mix group or CMG), based on impairment,
age, comorbidities, and functional capability of the patients, and such
other factors as the Secretary deems appropriate to improve the
explanatory power of functional independence measure-function related
groups.'' In addition, the Secretary is required to establish a method
of classifying specific patients in IRFs within these groups as
specified in Sec. 412.620.
In the August 7, 2001 final rule (66 FR at 41342), we implemented a
methodology to establish a patient classification system using CMGs.
The CMGs are based on the FIM-FRG methodology and reflect refinements
to that methodology.
In general, a patient is first placed in a major group called a
rehabilitation impairment category (RIC) based on the patient's primary
reason for inpatient rehabilitation, (for example, a stroke). The
patient is then placed into a CMG within the RIC, based on the
patient's ability to perform specific activities of daily living, and
sometimes the patient's cognitive ability and/or age. Other special
circumstances, such as the occurrence of very short stays, or cases
where the patient expired, are also considered in determining the
appropriate CMG.
We explained in the August 7, 2001 final rule that further analysis
of FIM and Medicare data may result in refinements to CMGs. In the
August 7, 2001 final rule, we used the most recent FIM and Medicare
data available at that time (that is 1998 and 1999 data). Developing
the CMGs with the 1998 and 1999 data resulted in 95 CMGs based on the
FIM-FRG methodology. The data also supported the establishment of five
additional special CMGs that improved the explanatory power of the FIM-
FRGs. We established one additional special CMG to account for very
short stays and four additional special CMGs to account for cases where
the patient expired. In addition, we established a payment of an
additional amount for patients with at least one relevant comorbidity
in certain CMGs.
2. Description and Methodology Used to Develop the IRF Classification
System in the August 7, 2001 Final Rule
a. Rehabilitation Impairment Categories
In the first step to develop the CMGs, the FIM data from 1998 and
1999 were used to group patients into RICs. Specifically, the
impairment code from the assessment instrument used by clients of UDSmr
and Healthsouth indicates the primary reason for the inpatient
rehabilitation admission. This impairment code is used to group the
patient into a RIC. Currently, we use 21 RICs for the IRF PPS.
b. Functional Status Measures and Age
After using the RIC to define the first division among the
inpatient rehabilitation groups, we used functional status measures and
age to partition the cases further. In the August 7, 2001 final rule,
we used 1998 and 1999 Medicare bills with corresponding FIM data to
create the CMGs and more thoroughly examine each item of the motor and
cognitive measures. Based on the data used for the August 7, 2001 final
rule, we found that we could improve upon the CMGs by making a slight
modification to the motor measure. We modified the motor measure by
removing the transfer to tub/shower item because we found that an
increase in a patient's ability to perform functional tasks with less
assistance for this item was associated with an increase in cost,
whereas an increase in other functional items decreased costs. We
describe below the statistical methodology (Classification and
Regression Trees (CART)) that we used to incorporate a patient's
functional status measures (modified motor score and cognitive score)
and age into the construction of the CMGs in the August 7, 2001 final
rule.
We used the CART methodology to divide the rehabilitation cases
further within each RIC. (Further information regarding the CART
methodology can be found in the seminal literature on CART
(Classification and Regression Trees, Leo Breiman, Jerome Friedman,
Richard Olshen, Charles Stone, Wadsworth Inc., Belmont CA, 1984: pp.
78-80).) We chose to use the CART method because it is useful in
identifying statistical relationships among data and, using these
relationships, constructing a predictive model for organizing and
separating a large set of data into smaller, similar groups. Further,
in constructing the CMGs, we analyzed the extent to which the
independent variables (motor score, cognitive score, and age) helped
predict the value of the dependent variable (the log of the cost per
case). The CART methodology creates the CMGs that classify patients
with clinically distinct resource needs into groups. CART is an
iterative process that creates initial groups of patients and then
searches for ways to divide the initial groups to decrease the clinical
and cost variances further and to increase the explanatory power of the
CMGs. Our current CMGs are based on historical data. In order to
develop a separate CMG, we need to have data on a sufficient number of
cases to develop coherent groups. Currently, we use 95 CMGs as well as
5 special CMGs for scenarios involving short stays or the expiration of
the patient.
c. Comorbidities
Under the statutory authority of section 1886(j)(2)(C)(i) of the
Act, we are proposing to make several changes to the comorbidity tiers
associated with the CMGs for comorbidities that are not positively
related to treatment costs, or their excessive use is questionable, or
their condition could not be differentiated from another condition.
Specifically, section 1886(j)(2)(C)(i) of the Act provides the
following: The Secretary shall from time to time adjust the
classifications and weighting factors established under this paragraph
as appropriate to reflect changes in treatment patterns, technology,
case mix, number of payment units for which payment is made under this
title and other factors that may affect the relative use of resources.
The adjustments shall be made in a manner so that changes in aggregate
payments under the
[[Page 30194]]
classification system are a result of real changes and are not a result
of changes in coding that are unrelated to real changes in case mix.
A comorbidity is a specific patient condition that is secondary to
the patient's principal diagnosis or impairment that is used to place a
patient into a RIC. A patient could have one or more comorbidities
present during the inpatient rehabilitation stay. Our analysis for the
August 7, 2001 final rule found that the presence of a comorbidity
could have a major effect on the cost of furnishing inpatient
rehabilitation care. We also stated that the effect of comorbidities
varied across RICs, significantly increasing the costs of patients in
some RICs, while having no effect in others. Therefore, for the August
7, 2001 final rule, we linked frequently occurring comorbidities to
impairment categories in order to ensure that all of the chosen
comorbidities were not an inherent part of the diagnosis that assigns
the patient to the RIC.
Furthermore, in the August 7, 2001 final rule, we indicated that
comorbidities can affect cost per case for some of the CMGs, but not
all. When comorbidities substantially increased the average cost of the
CMG and were determined to be clinically relevant (not inherent in the
diagnosis in the RIC), we developed CMG relative weights adjusted for
comorbidities (Sec. 412.620(b)).
d. Development of CMG Relative Weights
Section 1886(j)(2)(B) of the Act requires that an appropriate
relative weight be assigned to each CMG. Relative weights account for
the variance in cost per discharge and resource utilization among the
payment groups and are a primary element of a case-mix adjusted PPS.
The establishment of relative weights helps ensure that beneficiaries
have access to care and receive the appropriate services that are
commensurate to other beneficiaries that are classified in the same
CMG. In addition, prospective payments that are based on relative
weights encourage provider efficiency and, hence, help ensure a fair
distribution of Medicare payments. Accordingly, 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. We discuss the details of developing
the relative weights below.
As indicated in the August 7, 2001 final rule, we believe that the
RAND analysis has shown that CMGs based on function-related groups
(adjusted for comorbidities) are effective predictors of resource use
as measured by proxies such as length of stay and costs. The use of
these proxies is necessary in developing the relative weights because
data that measure actual nursing and therapy time spent on patient
care, and other resource use data, are not available.
e. Overview of Development of the CMG Relative Weights
As indicated in the August 7, 2001 final rule, to calculate the
relative weights, we estimate operating (routine and ancillary
services) and capital costs of IRFs. For this proposed rule, we use the
same method for calculating the cost of a case that we outlined in the
August 7, 2001 final (66 FR at 41351 through 43153). We obtained cost-
to-charge ratios for ancillary services and per diem costs for routine
services from the most recent available cost report data. We then
obtain charges from Medicare bill data and derived corresponding
functional measures from the FIM data. We omit data from rehabilitation
facilities that are classified as all-inclusive providers from the
calculation of the relative weights, as well as from the parameters
that we use to define transfer cases, because these facilities are paid
a single, negotiated rate per discharge and therefore do not maintain a
charge structure. For ancillary services, we calculate both operating
and capital costs by converting charges from Medicare claims into costs
using facility-specific, cost-center specific cost-to-charge ratios
obtained from cost reports. Our data analysis for the August 7, 2001
final rule showed that some departmental cost-to-charge ratios were
missing or found to be outside a range of statistically valid values.
For anesthesiology, a value greater than 10, or less than 0.01, is
found not to be statistically valid. For all other cost centers, values
greater than 10 or less than 0.5 are found not to be statistically
valid. In the August 7, 2001 final rule, we replaced individual cost-
to-charge ratios outside of these thresholds. The replacement value
that we used for these aberrant cost-to-charge ratios was the mean
value of the cost-to-charge ratio for the cost-center within the same
type of hospital (either freestanding or unit). For routine services,
per diem operating and capital costs are used to develop the relative
weights. In addition, per diem operating and capital costs for special
care services are used to develop the relative weights. (Special care
services are furnished in intensive care units. We note that fewer than
1 percent of rehabilitation days are spent in intensive care units.)
Per diem costs are obtained from each facility's Medicare cost report
data. We use per diem costs for routine and special care services
because, unlike for ancillary services, we could not obtain cost-to-
charge ratios for these services from the cost report data. To estimate
the costs for routine and special care services included in developing
the relative weights, we sum the product of routine cost per diem and
Medicare inpatient days and the product of the special care per diem
and the number of Medicare special care days.
In the August 7, 2001 final rule, we used a hospital specific
relative value method to calculate relative weights. We used the
following basic steps to calculate the relative weights as indicated in
the August 7, 2001 final rule (at 66 FR 41316, 41351 through 41352).
The first step in calculating the CMG weights is to estimate the
effect that comorbidities have on costs. The second step required us to
adjust the cost of each Medicare discharge (case) to reflect the
effects found in the first step. In the third step, the adjusted costs
from the second step were used to calculate ``relative adjusted
weights'' in each CMG using the hospital-specific relative value
method. The final steps are to calculate the CMG relative weights by
modifying the ``relative adjusted weight'' with the effects of the
existence of the comorbidity tiers (explained below) and normalizing
the weights to 1.
B. Proposed Changes to the Existing List of Tier Comorbidities
1. Proposed Changes to Remove Codes That Are Not Positively Related to
Treatment Costs
While our methodology for this proposed rule for determining the
tiers remains unchanged from the August 7, 2001 final rule, RAND's
analysis indicates that 1.6 percent of FY 2003 cases received a tier
payment (often in tier one) that was not justified by any higher cost
for the case. Therefore, under statutory authority section
1886(j)(2)(C)(i) of the Act, we are proposing several technical changes
to the comorbidity tiers associated with the CMGs. Specifically, the
RAND analysis found that the first 17 diagnoses shown in Table 1 below
are no longer positively related to treatment cost after controlling
for CMG. The
[[Page 30195]]
additional two codes were also problematic. According to RAND, code
410.91 (AMI, NOS, Initial) was too unspecific to be differentiated from
other related codes and code 260, Kwashiorkor, was found to be
unrealistically represented in the data according to a RAND technical
expert panel.
With respect to the eighteenth code in Table One, (410.X1) Specific
AMI, initial), we note that RAND found there is not clinical reason to
believe that this code differs in a rehabilitation environment from all
of the specific codes for initial AMI of the form 410.X, where X is an
numeric digit. In other words, this code is indistinguishable from the
seventeenth code in Table One (410.91 AMI, NOS, initial). Following
this observation, RAND tested the other initial AMI codes as a single
group and found that they have no positive effect on case cost. Since
we are proposing to remove ``AMI, NOS, initial'' from the tier list
because it is not positively related to treatment cost after
controlling for the CMG, we believe that ``Specific AMI, initial''
similarly should be removed from the tier list since it is
indistinguishable from ``AMI, NOS, initial.''
With respect to the last code in Table One (Kwashiorkor), we are
proposing to remove this code from the tier list as well. This
comorbidity is positively related to cost in our data. However, RAND's
technical expert panel (TEP) found the large number of cases coded with
this rare disease to be unrealistic and recommended that it be removed
from the tier list.
Table 1 contains two malnutrition codes, and removing these two
malnutrition codes where use is concentrated in specific hospitals is
particularly important because these hospitals are likely receiving
unwarrantedly high payments due to the tier one assignment of these
cases. Thus, because we believe the excess use of these two comorbid
conditions is inappropriate based on the findings of RAND's TEP, we are
proposing their removal.
The data indicate large variation in the rate of increase from the
1999 data to the 2003 data across the conditions that make up the
tiers. The greatest increases were for miscellaneous throat conditions
and malnutrition, each of which were more than 10 times as frequent in
2003 as in 1999. The growth in these two conditions was far larger than
for any other condition. Many conditions, however, more than doubled in
frequency, including dialysis, cachexia, obesity, and the non-renal
complications of diabetes. The condition with the least growth, renal
complications of diabetes, may have been affected by improved coding of
dialysis.
The remaining proposed changes to our initial list of diagnoses in
Table 1 deal with tracheostomy cases. These rare cases were excluded
from the pulmonary RIC 15 in the August 7, 2001 final rule. The new
data indicate that they are more expensive than other cases in the same
CMG in RIC 15, as well as in other RICs. Therefore, we believe the data
demonstrate that tracheostomy cases should be added to the tier list
for RIC 15. Finally, DX V55.0, ``attention to tracheostomy'' should
initially have been part of this condition as these cases were and are
as expensive as other tracheostomy cases. Thus, since ``attention to
tracheostomy'' is as expensive as other tracheostomy cases, it is
logical to group such similar cases together.
We believe that the data provided by RAND support the removal of
the codes in Table 1 below because they either have no impact on cost
after controlling for their CMG or are indistinguishable from other
codes or are unrealistically overrepresented. Therefore, we are
proposing to remove these codes from the tier list.
Table 1.--Proposed List of Codes To Be Removed From the Tier List
----------------------------------------------------------------------------------------------------------------
ICD-9-CM code Abbreviated code title Condition
----------------------------------------------------------------------------------------------------------------
235.1.................... Unc behav neo oral/phar...... Miscellaneous throat conditions.
933.1.................... Foreign body in larynx....... Miscellaneous throat conditions.
934.1.................... Foreign body bronchus........ Miscellaneous throat conditions.
530.0.................... Achalasia & cardiospasm...... Esophegeal conditions.
530.3.................... Esophageal stricture......... Esophegeal conditions.
530.6.................... Acquired esophag diverticulum Esophegeal conditions.
V46.1.................... Dependence on respirator..... Ventilator status.
799.4.................... Cachexia..................... Cachexia.
V49.75................... Status amputation below knee. Amputation of LE.
V49.76................... Status amputation above knee. Amputation of LE.
V497.7................... Status amputation hip........ Amputation of LE.
356.4.................... Idiopathic progressive Meningitis and encephalitis.
polyneuropathy.
250.90................... Diabetes II, w unspecified Non-renal Complications of Diabetes.
complications, not stated as
uncontrolled.
250.93................... Diabetes I, w unspecified Non-renal Complications of Diabetes.
complications, uncontrolled.
261...................... Nutritional Marasmus......... Malnutrition.
262...................... Other severe protein calorie Malnutrition.
deficiency.
410.91................... AMI, NOS, initial............ Major comorbidities.
410.X1................... Specific AMI, initial........ Major comorbidities.
260...................... Kwashiorkor.................. Malnutrition.
----------------------------------------------------------------------------------------------------------------
2. Proposed Changes To Move Dialysis To Tier One
We are proposing the movement of dialysis to tier one, which is the
tier associated with the highest payment. The data from the RAND
analysis show that patients on dialysis cost substantially more than
current payments for these patients and should be moved into the
highest paid tier because this tier would more closely align payment
with the cost of a case. Based on RAND's analysis using 2003 data, a
patient with dialysis costs 31 percent more than a non-dialysis patient
in the same CMG and with the same other accompanying comorbidities.
Overall, the largest increase in the cost of a condition occurs
among patients on dialysis, where the coefficient in the cost
regression increases by 93 percent, from 0.1400 to 0.2697. Part of the
explanation for the increased coefficient could be that some IRFs had
not borne all dialysis costs for their patients in the pre-PPS period
[[Page 30196]]
(because providers were previously permitted to bill for dialysis
separately). Dialysis is currently in tier two. However, it is likely
that, in the 1999 data, some IRFs had not borne all dialysis costs for
their patients. Because the fraction of cases coded with dialysis
increased by 170 percent, it is also likely that improved coding was
part of the explanation for the increased coefficient. We believe a 170
percent increase is such a dramatic increase that it would be highly
unlikely that in one short time, 170 percent more patients need
dialysis than they did before the implementation of the IRF PPS. We
also believe that the improved coding is likely due to the fact that
higher costs are associated with dialysis patients and therefore IRFs,
in an effort to ensure that their payments cover these higher expenses
will better and more carefully code comorbidities whose presence will
result in higher PPS payments.
Moving dialysis patients to tier one will more adequately
compensate hospitals for the extra cost of those patients and thereby
maintain or increase access to these services.
3. Proposed Changes To Move Comorbidity Codes Based on Their Marginal
Cost
Under statutory authority section 1886(j)(2)(C)(i) of the Act, we
are proposing to move comorbidity codes based on their marginal cost.
Another limitation with the existing tiers is that costs for several
conditions would be more accurately predicted if their tier assignments
were changed. After examining RAND's data, we believe that a full 4
percent of FY 2003 cases should be moved down to tiers with lower
payment.
We propose that tier assignments be based on the results of
statistical analyses RAND has performed under contract with CMS, using
as independent variables only the proposed CMGs and conditions that we
are proposing for tiers (for example, the CMGs and conditions that
remain after the proposed changes have been made). We are proposing
that the tier assignments of each of these conditions be decided based
on the magnitude of their coefficients in RAND's statistical analysis.
We believe the IRF PPS led to substantial changes in coding of
comorbidities between 1999 (pre-implementation of the IRF PPS) and 2003
(post-implementation of the IRF PPS). The percentage of cases with one
or more comorbidities increased from 16.79 percent in the data in which
tiers were defined (1998 through 1999) to 25.51 percent in FY 2003.
This is an increase of 52 percent in tier incidence (52 = 100 x (25.51-
16.79)/16.79). The presence of a tier one comorbidity, the highest paid
of the tiers, almost quadrupled during this same time period. Although,
coding likely improved, the presence of upcoding for a higher payment
may play a factor as well.
The 2003 data provide a more accurate explanation of the costs that
are associated with each of the comorbidities, largely due to having
100 percent of the Medicare-covered IRF cases in the later data versus
slightly more than half of the cases in 1999 data. Therefore, using the
2003 data to propose to assign each diagnosis or condition will
considerably improve the matching of payments to their relative costs.
C. Proposed Changes to the CMGs
Section 1886(j)(2)(C)(i) of the Act requires the Secretary from
time to time to adjust the classifications and weighting factors of
patients under the IRF PPS to reflect changes in treatment patterns,
technology, case mix, number of payment units for which payment is
made, and other factors that may affect the relative use of resources.
These adjustments shall be made in a manner so that changes in
aggregate payments under the classification system are the result of
real changes and not the result of changes in coding that are unrelated
to real changes in case mix.
In accordance with section 1886(j)(2)(C)(i) of the Act and as
specified in Sec. 412.620(c) and based on the research conducted by
RAND, we are proposing to update the CMGs used to classify IRF patients
for purposes of establishing payment amounts. We are also proposing to
update the relative weights associated with the payment groups based on
FY 2003 Medicare bill and patient assessment data. We are proposing to
replace the current unweighted motor score index used to assign
patients to CMGs with a weighted motor score index that would improve
our ability to accurately predict the costs of caring for IRF patients,
as described in detail below. However, we are not proposing to change
the methodology for computing the cognitive score index.
As described in the August 7, 2001 final rule, we contracted with
RAND to analyze IRF data to support our efforts in developing our
patient classification system and the IRF PPS. We have continued our
contract with RAND to support us in developing potential refinements to
the classification system and the PPS. As part of this research, we
asked RAND to examine possible refinements to the CMGs to identify
potential improvements in the alignment between Medicare payments and
actual IRF costs. In conducting its research, RAND used a technical
expert panel (TEP) made up of experts from industry groups, other
government entities, academia, and other interested parties. The
technical expert panel reviewed RAND's methodologies and advised RAND
on many technical issues.
Several recent developments make significant improvements in the
alignment between Medicare payments and actual IRF costs possible.
First, when the IRF PPS was implemented in 2002, a new recording
instrument was used to collect patient data, the IRF Patient Assessment
Instrument (or the IRF PAI). The new instrument contained questions
that improved the quality of the patient-level information available to
researchers.
Second, more recent data are available on a larger patient
population. Until now, the design of the IRF PPS was based entirely on
1999 data on Medicare rehabilitation patients from just a sample of
hospitals. Now, we have post-PPS data from 2002 and 2003 that describe
the entire universe of Medicare-covered rehabilitation patients.
Finally, w