Medicare Program; Inpatient Psychiatric Facilities Prospective Payment System Payment-Update for Rate Year Beginning July 1, 2010 (RY 2011), 23106-23149 [2010-9870]
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Federal Register / Vol. 75, No. 83 / Friday, April 30, 2010 / Notices
DEPARTMENT OF HEALTH AND
HUMAN SERVICES
Centers for Medicare & Medicaid
Services
[CMS–1424–N]
RIN 0938–AP83
Medicare Program; Inpatient
Psychiatric Facilities Prospective
Payment System Payment—Update for
Rate Year Beginning July 1, 2010 (RY
2011)
AGENCY: Centers for Medicare &
Medicaid Services (CMS), HHS.
ACTION: Notice
SUMMARY: This notice updates the
payment rates for the Medicare
prospective payment system (PPS) for
inpatient psychiatric hospital services
provided by inpatient psychiatric
facilities (IPFs). These changes are
applicable to IPF discharges occurring
during the rate year beginning July 1,
2010 through June 30, 2011. We are also
responding to comments on the IPF PPS
teaching adjustment and the market
basket, which we received in response
to our May 2009 IPF PPS notice with
request for comments.
DATES: Effective Date: The updated IPF
prospective payment rates are effective
for discharges occurring on or after July
1, 2010 through June 30, 2011.
FOR FURTHER INFORMATION CONTACT:
Dorothy Myrick or Jana Lindquist, (410)
786–4533 (for general information).
Mary Carol Barron, (410) 786–7943 (for
information regarding the market
basket and labor-related share).
Theresa Bean, (410) 786–2287 (for
information regarding the regulatory
impact analysis).
SUPPLEMENTARY INFORMATION:
Table of Contents
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To assist readers in referencing
sections contained in this document, we
are providing the following table of
contents.
I. Background
A. Annual Requirements for Updating the
IPF PPS
B. Overview of the Legislative
Requirements of the IPF PPS
C. IPF PPS—General Overview
II. Transition Period for Implementation of
the IPF PPS
III. Updates to the IPF PPS for RY Beginning
July 1, 2010
A. Determining the Standardized BudgetNeutral Federal Per Diem Base Rate
1. Standardization of the Federal Per Diem
Base Rate and
Electroconvulsive Therapy (ECT) Rate
2. Calculation of the Budget Neutrality
Adjustment
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a. Outlier Adjustment
b. Stop-Loss Provision Adjustment
c. Behavioral Offset
B. Update of the Federal Per Diem Base
Rate and Electroconvulsive Therapy Rate
1. Market Basket for IPFs Reimbursed
under the IPF PPS
a. Market Basket Index for the IPF PPS
b. Overview of the RPL Market Basket
2. Labor-Related Share
3. Comments on Creating a Stand-Alone
IPF Market Basket
IV. Update of the IPF PPS Adjustment
Factors
A. Overview of the IPF PPS Adjustment
Factors
B. Patient-Level Adjustments
1. Adjustment for MS–DRG Assignment
2. Payment for Comorbid Conditions
3. Patient Age Adjustments
4. Variable Per Diem Adjustments
C. Facility-Level Adjustments
1. Wage Index Adjustment
a. Background
b. Wage Index for RY 2011
c. OMB Bulletins
2. Adjustment for Rural Location
3. Teaching Adjustment
4. Cost of Living Adjustment for IPFs
Located in Alaska and Hawaii
5. Adjustment for IPFs With a Qualifying
Emergency Department (ED)
D. Other Payment Adjustments and
Policies
1. Outlier Payments
a. Update to the Outlier Fixed Dollar Loss
Threshold Amount
b. Statistical Accuracy of Cost-to-Charge
Ratios
2. Expiration of the Stop-Loss Provision
V. Comments Beyond the Scope of the May
2009 IPF PPS Notice With Request for
Comments
VI. Waiver of Proposed Rulemaking
VII. Collection of Information Requirements
VIII. Regulatory Impact Analysis
Addenda
Acronyms
Because of the many terms to which
we refer by acronym in this notice, we
are listing the acronyms used and their
corresponding terms in alphabetical
order below:
BBRA Medicare, Medicaid and SCHIP
[State Children’s Health Insurance
Program] Balanced Budget Refinement Act
of 1999, (Pub. L. 106–113).
CBSA Core-Based Statistical Area.
CCR Cost-to-charge ratio.
CAH Critical access hospital.
DSM–IV–TR Diagnostic and Statistical
Manual of Mental Disorders Fourth
Edition—Text Revision.
DRGs Diagnosis-related groups.
FY Federal fiscal year.
ICD–9–CM International Classification of
Diseases, 9th Revision, Clinical
Modification.
IPFs Inpatient psychiatric facilities.
IRFs Inpatient rehabilitation facilities.
LTCHs Long-term care hospitals.
MedPAR Medicare provider analysis and
review file.
RY Rate Year.
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TEFRA Tax Equity and Fiscal
Responsibility Act of 1982, (Pub. L. 97–
248).
I. Background
A. Annual Requirements for Updating
the IPF PPS
In November 2004, we implemented
the inpatient psychiatric facilities (IPF)
prospective payment system (PPS) in a
final rule that appeared in the
November 15, 2004 Federal Register (69
FR 66922). In developing the IPF PPS,
in order to ensure that the IPF PPS is
able to account adequately for each
IPF’s case-mix, we performed an
extensive regression analysis of the
relationship between the per diem costs
and certain patient and facility
characteristics to determine those
characteristics associated with
statistically significant cost differences
on a per diem basis. For characteristics
with statistically significant cost
differences, we used the regression
coefficients of those variables to
determine the size of the corresponding
payment adjustments.
In that final rule, we explained that
we believe it is important to delay
updating the adjustment factors derived
from the regression analysis until we
have IPF PPS data that includes as
much information as possible regarding
the patient-level characteristics of the
population that each IPF serves.
Therefore, we indicated that we did not
intend to update the regression analysis
and recalculate the Federal per diem
base rate and the patient- and facilitylevel adjustments until we complete
that analysis. Until that analysis is
complete, we stated our intention to
publish a notice in the Federal Register
each spring to update the IPF PPS (71
FR 27041).
Updates to the IPF PPS as specified in
42 CFR § 412.428 include the following:
• A description of the methodology
and data used to calculate the updated
Federal per diem base payment amount.
• The rate of increase factor as
described in § 412.424(a)(2)(iii), which
is based on the excluded hospital with
capital market basket under the update
methodology of section 1886(b)(3)(B)(ii)
of the Social Security Act (the Act) for
each year (effective from the
implementation period until June 30,
2006).
• For discharges occurring on or after
July 1, 2006, the rate of increase factor
for the Federal portion of the IPF’s
payment, which is based on the
rehabilitation, psychiatric, and longterm care (RPL) market basket.
• The best available hospital wage
index and information regarding
whether an adjustment to the Federal
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per diem base rate is needed to maintain
budget neutrality.
• Updates to the fixed dollar loss
threshold amount in order to maintain
the appropriate outlier percentage.
• Description of the International
Classification of Diseases, 9th Revision,
Clinical Modification (ICD–9–CM)
coding and diagnosis-related groups
(DRGs) classification changes discussed
in the annual update to the hospital
inpatient prospective payment system
(IPPS) regulations.
• Update to the electroconvulsive
therapy (ECT) payment by a factor
specified by CMS.
• Update to the national urban and
rural cost-to-charge ratio medians and
ceilings.
• Update to the cost of living
adjustment factors for IPFs located in
Alaska and Hawaii, if appropriate.
Our most recent annual update
occurred in the May 2009 IPF PPS
notice with request for comments (74 FR
20362) (hereinafter referred to as the
May 2009 IPF PPS notice) that set forth
updates to the IPF PPS payment rates
for RY 2010. This notice updates the IPF
per diem payment rates that were
published in the May 2009 IPF PPS
notice in accordance with our
established policies.
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B. Overview of the Legislative
Requirements of the IPF PPS
Section 124 of the Medicare,
Medicaid, and SCHIP (State Children’s
Health Insurance Program) Balanced
Budget Refinement Act of 1999, (Pub. L.
106–113) (BBRA) required
implementation of the IPF PPS.
Specifically, section 124 of the BBRA
mandated that the Secretary develop a
per diem PPS for inpatient hospital
services furnished in psychiatric
hospitals and psychiatric units that
includes an adequate patient
classification system that reflects the
differences in patient resource use and
costs among psychiatric hospitals and
psychiatric units.
Section 405(g)(2) of the Medicare
Prescription Drug, Improvement, and
Modernization Act of 2003 (MMA) (Pub.
L. 108–173) extended the IPF PPS to
distinct part psychiatric units of critical
access hospitals (CAHs).
To implement these provisions, we
published various proposed and final
rules in the Federal Register. For more
information regarding these rules, see
the CMS Web sites https://
www.cms.hhs.gov/
InpatientPsychFacilPPS/and https://
www.cms.hhs.gov/
InpatientpsychfacilPPS/
02_regulations.asp.
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Section 1886(s)(3)(A) of the Act,
which was added by Section 3401(f) of
the Patient Protection and Affordable
Care Act (Pub. L. 111–148) as amended
by Section 10319(e) of that Act and by
Section 1105 of the Health Care and
Education Reconciliation Act of 2010
(Pub. L. 111–152), requires the
application of an ‘‘Other Adjustment’’
that reduces any update to the IPF PPS
base rate by 0.25 percentage point for
the rate year beginning in 2010. We are
implementing that provision for RY
2011 in this notice.
C. IPF PPS—General Overview
The November 2004 IPF PPS final
rule (69 FR 66922) established the IPF
PPS, as authorized under section 124 of
the BBRA and codified at subpart N of
part 412 of the Medicare regulations.
The November 2004 IPF PPS final rule
set forth the per diem Federal rates for
the implementation year (the 18-month
period from January 1, 2005 through
June 30, 2006), and it provided payment
for the inpatient operating and capital
costs to IPFs for covered psychiatric
services they furnish (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 IPF PPS).
Covered psychiatric services include
services for which benefits are provided
under the fee-for-service Part A
(Hospital Insurance Program) Medicare
program.
The IPF PPS established the Federal
per diem base rate for each patient day
in an IPF derived from the national
average daily routine operating,
ancillary, and capital costs in IPFs in FY
2002. The average per diem cost was
updated to the midpoint of the first year
under the IPF PPS, standardized to
account for the overall positive effects of
the IPF PPS payment adjustments, and
adjusted for budget neutrality.
The Federal per diem payment under
the IPF PPS is comprised of the Federal
per diem base rate described above and
certain patient- and facility-level
payment adjustments that were found in
the regression analysis to be associated
with statistically significant per diem
cost differences.
The patient-level adjustments include
age, DRG assignment, comorbidities,
and variable per diem adjustments to
reflect higher per diem costs in the early
days of an IPF stay. Facility-level
adjustments include adjustments for the
IPF’s wage index, rural location,
teaching status, a cost of living
adjustment for IPFs located in Alaska
and Hawaii, and presence of a
qualifying emergency department (ED).
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The IPF PPS provides additional
payment policies for: outlier cases; stoploss protection (which was applicable
only during the IPF PPS transition
period); interrupted stays; and a per
treatment adjustment for patients who
undergo ECT.
A complete discussion of the
regression analysis appears in the
November 2004 IPF PPS final rule (69
FR 66933 through 66936).
Section 124 of BBRA does not specify
an annual update rate strategy for the
IPF PPS and is broadly written to give
the Secretary discretion in establishing
an update methodology. Therefore, in
the November 2004 IPF PPS final rule,
we implemented the IPF PPS using the
following update strategy:
• Calculate the final Federal per diem
base rate to be budget neutral for the 18month period of January 1, 2005
through June 30, 2006.
• Use a July 1 through June 30 annual
update cycle.
• Allow the IPF PPS first update to be
effective for discharges on or after July
1, 2006 through June 30, 2007.
II. Transition Period for
Implementation of the IPF PPS
In the November 2004 IPF PPS final
rule, we provided for a 3-year transition
period. During this 3-year transition
period, an IPF’s total payment under the
PPS was based on an increasing
percentage of the Federal rate with a
corresponding decreasing percentage of
the IPF PPS payment that is based on
reasonable cost concepts. However,
effective for cost reporting periods
beginning on or after January 1, 2008,
IPF PPS payments are based on 100
percent of the Federal rate.
III. Updates to the IPF PPS for RY
Beginning July 1, 2010
The IPF PPS is based on a
standardized Federal per diem base rate
calculated from IPF average per diem
costs and adjusted for budget-neutrality
in the implementation year. The Federal
per diem base rate is used as the
standard payment per day under the IPF
PPS and is adjusted by the patient- and
facility-level adjustments that are
applicable to the IPF stay. A detailed
explanation of how we calculated the
average per diem cost appears in the
November 2004 IPF PPS final rule (69
FR 66926).
A. Determining the Standardized
Budget-Neutral Federal Per Diem Base
Rate
Section 124(a)(1) of the BBRA
requires that we implement the IPF PPS
in a budget neutral manner. In other
words, the amount of total payments
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under the IPF PPS, including any
payment adjustments, must be projected
to be equal to the amount of total
payments that would have been made if
the IPF PPS were not implemented.
Therefore, we calculated the budgetneutrality factor by setting the total
estimated IPF PPS payments to be equal
to the total estimated payments that
would have been made under the Tax
Equity and Fiscal Responsibility Act of
1982 (TEFRA) (Pub. L. 97–248)
methodology had the IPF PPS not been
implemented.
Under the IPF PPS methodology, we
calculated the final Federal per diem
base rate to be budget neutral during the
IPF PPS implementation period (that is,
the 18-month period from January 1,
2005 through June 30, 2006) using a July
1 update cycle. We updated the average
cost per day to the midpoint of the IPF
PPS implementation period (that is,
October 1, 2005), and this amount was
used in the payment model to establish
the budget-neutrality adjustment.
A step-by-step description of the
methodology used to estimate payments
under the TEFRA payment system
appears in the November 2004 IPF PPS
final rule (69 FR 66926).
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1. Standardization of the Federal Per
Diem Base Rate and Electroconvulsive
Therapy (ECT) Rate
In the November 2004 IPF PPS final
rule, we describe how we standardized
the IPF PPS Federal per diem base rate
in order to account for the overall
positive effects of the IPF PPS payment
adjustment factors. To standardize the
IPF PPS payments, we compared the IPF
PPS payment amounts calculated from
the FY 2002 Medicare Provider Analysis
and Review (MedPAR) file to the
projected TEFRA payments from the FY
2002 cost report file updated to the
midpoint of the IPF PPS
implementation period (that is, October
2005). The standardization factor was
calculated by dividing total estimated
payments under the TEFRA payment
system by estimated payments under
the IPF PPS. The standardization factor
was calculated to be 0.8367.
As described in detail in the May
2006 IPF PPS final rule (71 FR 27045),
in reviewing the methodology used to
simulate the IPF PPS payments used for
the November 2004 IPF PPS final rule,
we discovered that due to a computer
code error, total IPF PPS payments were
underestimated by about 1.36 percent.
Since the IPF PPS payment total should
have been larger than the estimated
figure, the standardization factor should
have been smaller (0.8254 vs. 0.8367). In
turn, the Federal per diem base rate and
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conditions. As a result, Medicare may
make higher payments than assumed in
our calculations. Accounting for these
effects through an adjustment is
commonly known as a behavioral offset.
Based on accepted actuarial practices
and consistent with the assumptions
made in other PPSs, we assumed in
determining the behavioral offset that
IPFs would regain 15 percent of
potential ‘‘losses’’ and augment payment
2. Calculation of the Budget Neutrality
increases by 5 percent. We applied this
Adjustment
actuarial assumption, which is based on
To compute the budget neutrality
our historical experience with new
adjustment for the IPF PPS, we
payment systems, to the estimated
separately identified each component of ‘‘losses’’ and ‘‘gains’’ among the IPFs. The
the adjustment, that is, the outlier
behavioral offset for the IPF PPS was
adjustment, stop-loss adjustment, and
calculated to be 2.66 percent. As a
behavioral offset.
result, we reduced the standardized
A complete discussion of how we
Federal per diem base rate by 2.66
calculate each component of the budget percent to account for behavioral
neutrality adjustment appears in the
changes. As indicated in the November
November 2004 IPF PPS final rule (69
2004 IPF PPS final rule, we do not plan
FR 66932 through 66933) and in the
to change adjustment factors or
May 2006 IPF PPS final rule (71 FR
projections until we analyze IPF PPS
27044 through 27046).
data.
If we find that an adjustment is
a. Outlier Adjustment
warranted, the percent difference may
Since the IPF PPS payment amount
be applied prospectively to the
for each IPF includes applicable outlier
established PPS rates to ensure the rates
amounts, we reduced the standardized
accurately reflect the payment level
Federal per diem base rate to account for intended by the statute. In conducting
aggregate IPF PPS payments estimated
this analysis, we will be interested in
to be made as outlier payments. The
the extent to which improved coding of
outlier adjustment was calculated to be
patients’ principal and other diagnoses,
2 percent. As a result, the standardized
which may not reflect real increases in
Federal per diem base rate was reduced
underlying resource demands, has
by 2 percent to account for projected
occurred under the PPS.
outlier payments.
B. Update of the Federal Per Diem Base
b. Stop-Loss Provision Adjustment
Rate and Electroconvulsive Therapy
Rate
As explained in the November 2004
IPF PPS final rule, we provided a stop1. Market Basket for IPFs Reimbursed
loss payment during the transition from
under the IPF PPS
cost-based reimbursement to the per
As described in the November 2004
diem payment system to ensure that an
IPF PPS final rule (69 FR 66931), the
IPF’s total PPS payments were no less
average per diem cost was updated to
than a minimum percentage of their
the midpoint of the implementation
TEFRA payment, had the IPF PPS not
year. This updated average per diem
been implemented. We reduced the
standardized Federal per diem base rate cost of $724.43 was reduced by 17.46
percent to account for standardization to
by the percentage of aggregate IPF PPS
payments estimated to be made for stop- projected TEFRA payments for the
implementation period, by 2 percent to
loss payments. As a result, the
standardized Federal per diem base rate account for outlier payments, by 0.39
percent to account for stop-loss
was reduced by 0.39 percent to account
payments, and by 2.66 percent to
for stop-loss payments. Since the
account for the behavioral offset. The
transition was completed in RY 2009,
Federal per diem base rate in the
the stop-loss provision is no longer
implementation year was $575.95. The
applicable, and for cost reporting
increase in the per diem base rate for RY
periods beginning on or after January 1,
2009 included the 0.39 percent increase
2008, IPFs were paid 100 percent PPS.
due to the removal of the stop-loss
c. Behavioral Offset
provision. We indicated in the
November 2004 IPF PPS final rule (69
As explained in the November 2004
FR 66932) that we would remove this
IPF PPS final rule, implementation of
0.39 percent reduction to the Federal
the IPF PPS may result in certain
changes in IPF practices, especially with per diem base rate after the transition.
For RY 2009 and beyond, the stop-loss
respect to coding for comorbid medical
the ECT rate should have been reduced
by 0.8254 instead of 0.8367.
To resolve this issue, in RY 2007, we
amended the Federal per diem base rate
and the ECT payment rate
prospectively. Using the standardization
factor of 0.8254, the average cost per day
was effectively reduced by 17.46
percent (100 percent minus 82.54
percent = 17.46 percent).
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provision has ended and is therefore no
longer a part of budget neutrality.
Due to new section 1886(s)(3)(A) of
the Act, which requires the application
of an ‘‘Other Adjustment’’ that reduces
the update to the IPF PPS base rate for
the rate year beginning in CY 2010, we
reduced the update to the IPF PPS base
rate by 0.25 percent for rate year 2011.
Applying the market basket increase of
2.4 percent, with the ‘‘Other
Adjustment’’ of ¥0.25%, and the wage
index budget neutrality factor of 0.9999
to the RY 2010 Federal per diem base
rate of $651.76 yields a Federal per diem
base rate of $665.71 for RY 2011.
Similarly, applying the market basket
increase with the ‘‘Other Adjustment’’,
and the wage index budget neutrality
factor to the RY 2010 ECT rate yields an
ECT rate of $286.60 for RY 2011.
a. Market Basket Index for the IPF PPS
The market basket index that was
used to develop the IPF PPS was the
excluded hospital with capital market
basket. This market basket was based on
1997 Medicare cost report data and
included data for Medicare-participating
IPFs, inpatient rehabilitation facilities
(IRFs), long-term care hospitals
(LTCHs), cancer, and children’s
hospitals.
Beginning with the May 2006 IPF PPS
final rule (71 FR 27046 through 27054),
IPF PPS payments were updated using
a 2002-based market basket reflecting
the operating and capital cost structures
for IRFs, IPFs, and LTCHs (hereafter
referred to as the rehabilitation,
psychiatric, long-term care (RPL) market
basket).
We excluded cancer and children’s
hospitals from the RPL market basket
because their payments are based
entirely on reasonable costs subject to
rate-of-increase limits established under
the authority of section 1886(b) of the
Act, which are implemented in
regulations at § 413.40. They are not
reimbursed through a PPS. Also, the FY
2002 cost structures for cancer and
children’s hospitals are noticeably
different than the cost structures of the
IRFs, IPFs, and LTCHs. A complete
discussion of the RPL market basket
appears in the May 2006 IPF PPS final
rule (71 FR 27046 through 27054).
In the May 2009 IPF PPS notice (74
FR 20362), we requested public
comment on the possibility of creating
a stand-alone IPF market basket. In this
notice, we are responding to those
comments in the ‘‘Comments on
Creating a Stand-Alone IPF Market
Basket’’ section.
b. Overview of the RPL Market Basket
The RPL market basket is a fixed
weight, Laspeyres-type price index. A
market basket is described as a fixedweight index because it answers the
question of how much it would cost, at
another time, to purchase the same mix
(quantity and intensity) of goods and
services needed to provide services in a
base period. The effects on total
expenditures resulting from changes in
the mix of goods and services purchased
subsequent to the base period are not
measured. In this manner, the market
basket measures pure price change only.
Only when the index is rebased would
changes in the quantity and intensity be
captured in the cost weights. Therefore,
we rebase the market basket periodically
so that cost weights reflect recent
changes in the mix of goods and
services that hospitals purchase to
furnish patient care between base
periods.
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. In 2006,
we rebased and revised the market
basket used to update the IPF PPS.
Table 1 below sets forth the completed
FY 2002-based RPL market basket
including the cost categories, weights,
and price proxies.
TABLE 1—FY 2002-BASED RPL MARKET BASKET COST CATEGORIES, WEIGHTS, AND PRICE PROXIES
FY 2002based RPL
market basket
cost weight
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Cost categories
TOTAL ......................................................
Compensation ...........................................
Wages and Salaries* .........................
Employee Benefits* ...........................
Professional Fees, Non-Medical* .............
Utilities ......................................................
Electricity ...........................................
Fuel Oil, Coal, etc ..............................
Water and Sewage ............................
Professional Liability Insurance ................
All Other Products and Services ..............
All Other Products ....................................
Pharmaceuticals ................................
Food: Direct Purchase .......................
Food: Contract Service ......................
Chemicals ..........................................
Medical Instruments ..........................
Photographic Supplies .......................
Rubber and Plastics ..........................
Paper Products ..................................
Apparel ..............................................
Machinery and Equipment .................
Miscellaneous Products** ..................
All Other Services .....................................
Telephone ..........................................
Postage ..............................................
All Other: Labor Intensive* ................
All Other: Non-labor Intensive ...........
Capital-Related Costs*** ...........................
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100.000
65.877
52.895
12.982
2.892
0.656
0.351
0.108
0.197
1.161
19.265
13.323
5.103
0.873
0.620
1.100
1.014
0.096
1.052
1.000
0.207
0.297
1.963
5.942
0.240
0.682
2.219
2.800
10.149
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FY 2002-based RPL market basket price proxies
ECI—Wages and Salaries, Civilian Hospital Workers.
ECI—Benefits, Civilian Hospital Workers.
ECI—Compensation for Professional & Related occupations.
PPI—Commercial Electric Power.
PPI—Commercial Natural Gas.
CPI—U—Water & Sewage Maintenance.
CMS Professional Liability Premium Index.
PPI Prescription Drugs.
PPI Processed Foods & Feeds.
CPI—U Food Away From Home.
PPI Industrial Chemicals.
PPI Medical Instruments & Equipment.
PPI Photographic Supplies.
PPI Rubber & Plastic Products.
PPI Converted Paper & Paperboard Products.
PPI Apparel.
PPI Machinery & Equipment.
PPI Finished Goods less Food & Energy.
CPI—U Telephone Services.
CPI—U Postage.
ECI—Compensation for Private Service Occupations.
CPI—U All Items.
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TABLE 1—FY 2002-BASED RPL MARKET BASKET COST CATEGORIES, WEIGHTS, AND PRICE PROXIES—Continued
FY 2002based RPL
market basket
cost weight
Cost categories
Depreciation ..............................................
Fixed Assets ......................................
Movable Equipment ...........................
Interest Costs ............................................
Nonprofit ............................................
6.186
4.250
1.937
2.775
2.081
For Profit ............................................
Other Capital-Related Costs .....................
0.694
1.187
FY 2002-based RPL market basket price proxies
Boeckh Institutional Construction 23-year useful life.
PPI Machinery & Equipment 11-year useful life.
Average yield on domestic municipal bonds (Bond Buyer 20 bonds) vintage-weighted (23 years).
Average yield on Moody’s Aaa bond vintage-weighted (23 years).
CPI—U Residential Rent.
* Labor-related.
** Blood and blood-related products is included in miscellaneous products.
*** A portion of capital costs (0.46) are labor-related.
Note: Due to rounding, weights may not
sum to total.
We evaluated the price proxies using
the criteria of reliability, timeliness,
availability, and relevance. Reliability
indicates that the index is based on
valid statistical methods and has low
sampling variability. Timeliness implies
that the proxy is published regularly
(preferably at least once a quarter).
Availability means that the proxy is
publicly available. Finally, relevance
means that the proxy is applicable and
representative of the cost category
weight to which it is applied. The
Consumer Price Indexes (CPIs),
Producer Price Indexes (PPIs), and
Employment Cost Indexes (ECIs) used as
proxies in this market basket meet these
criteria.
We note that the proxies are the same
as those used for the FY 1997-based
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 August 1, 2002 hospital
inpatient prospective payment system
(IPPS) final rule (67 FR at 50042).
The RY 2011 (that is, beginning July
1, 2010) update for the IPF PPS using
the FY 2002-based RPL market basket
and Information Handling Services
(IHS) Global Insight’s 1st quarter 2010
forecast for the market basket
components is 2.4 percent. This
includes increases in both the operating
section and the capital section for the
12-month RY period (that is, July 1,
2010 through June 30, 2011). IHS Global
Insight, Inc. is a nationally recognized
economic and financial forecasting firm
that contracts with CMS to forecast the
components of the market baskets.
2. Labor-Related Share
Due to the variations in costs and
geographic wage levels, we believe that
payment rates under the IPF PPS should
continue to be adjusted by a geographic
wage index. This wage index applies to
the labor-related portion of the Federal
per diem base rate, hereafter referred to
as the labor-related share.
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 FY 2002based RPL market basket cost weights
relative importance to determine the
labor-related share for the IPF PPS.
The labor-related share for RY 2011 is
the sum of the RY 2011 relative
importance of each labor-related cost
category, and reflects the different rates
of price change for these cost categories
between the base year (FY 2002) and RY
2011. The sum of the relative
importance for the RY 2011 operating
costs (wages and salaries, employee
benefits, professional fees, and laborintensive services) is 71.506 percent, as
shown in Table 2 below. The portion of
capital that is influenced by the local
labor market is estimated to be 46
percent, which is the same percentage
used in the FY 1997-based IRF and IPF
payment systems.
Since the relative importance for
capital is 8.466 percent of the FY 2002based RPL market basket in RY 2011, we
are taking 46 percent of 8.466 percent to
determine the labor-related share of
capital for RY 2011. The result is 3.894
percent, which we added to 71.506
percent for the operating cost amount to
determine the total labor-related share
for RY 2011. Thus, the labor-related
share that we are using for IPF PPS in
RY 2011 is 75.400 percent. Table 2
below shows the RY 2011 labor-related
share using the FY 2002-based RPL
market basket. We note that this laborrelated share is determined by using the
same methodology as employed in
calculating all previous IPF laborrelated shares.
A complete discussion of the IPF
labor-related share methodology appears
in the November 2004 IPF PPS final rule
(69 FR 66952 through 66954).
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TABLE 2—TOTAL LABOR-RELATED SHARE—RELATIVE IMPORTANCE FOR RY 2011
FY 2002-based
RPL market basket labor-related
share relative importance (percent)
RY 2010 *
Cost category
FY 2002-based
RPL market basket labor-related
share relative importance (percent)
RY 2011 **
53.062
13.852
2.895
52.600
13.935
2.853
Wages and salaries .....................................................................................................................................
Employee benefits .......................................................................................................................................
Professional fees .........................................................................................................................................
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TABLE 2—TOTAL LABOR-RELATED SHARE—RELATIVE IMPORTANCE FOR RY 2011—Continued
FY 2002-based
RPL market basket labor-related
share relative importance (percent)
RY 2010 *
FY 2002-based
RPL market basket labor-related
share relative importance (percent)
RY 2011 **
All other labor-intensive services .................................................................................................................
2.126
2.118
Subtotal .................................................................................................................................................
71.935
71.506
Labor-related share of capital costs (0.46) .................................................................................................
3.954
3.894
Total ......................................................................................................................................................
75.889
75.400
Cost category
* Based on 2009 1st Quarter forecast.
** Based on 2010 1st Quarter forecast.
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3. Comments on Creating a Stand-Alone
IPF Market Basket
In the May 2009 IPF PPS notice (74
FR 20362), we expressed our interest in
exploring the possibility of creating a
stand-alone IPF market basket that
reflects the cost structures of only IPF
providers. Of the available options, one
would be to join the Medicare cost
report data from freestanding IPF
providers (presently incorporated into
the RPL market basket) with data from
hospital-based IPF providers. An
examination of the Medicare cost report
data comparing freestanding and
hospital-based IPFs reveals considerable
differences between the two with
respect to cost levels and cost
structures.
In order to better understand the
observed cost differences between
freestanding and hospital-based IPFs,
we reviewed, in detail, several
explanatory variables such as
geographic variation, case mix
(including DRG, comorbidity, and age),
urban or rural status, length of stay,
teaching status, and the presence of a
qualifying emergency department.
Despite this analysis, we were unable to
sufficiently explain the differences in
costs between these two types of IPF
providers. As a result, we felt that
further research was required and
solicited public comment on additional
information that would help us to better
understand the reasons for the
variations in costs and cost structures,
as reported by cost report data, between
freestanding and hospital-based IPFs (74
FR 20376).
We received several timely comments
from the public on this issue. A
summary of the comments and our
responses to those comments are below.
Comment: Several commenters
recommended that CMS consider
creating an IPF-specific market basket.
These commenters stated that including
hospital-based IPF data in the market
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basket and pursuing a greater
understanding of the differences
between freestanding and hospitalbased IPFs are both worthy
undertakings. The commenters cited
that from 2005 through 2007, the
number of hospital-based IPFs has
decreased by 1.4 percent while the
number of freestanding IPFs has
increased by 1.0 percent. The
commenters expressed concern that
these trends will continue, and likely
accelerate. Furthermore, the
commenters stated that in 2007,
hospital-based IPFs experienced
negative margins while freestanding IPF
margins were positive. Given that more
than 60 percent of IPF discharges are
from hospital-based units, the
commenters believe that preserving
access to care for these patients
(especially those who have coexisting
physical conditions or experience a
crisis and enter the emergency
department for treatment) is vital. One
commenter stated that including
hospital-based IPF data in the market
basket would increase transparency and
highlight the differences between
freestanding and hospital-based
providers.
Response: We are actively examining
the technical merits of creating a standalone IPF market basket. Since
publication of the May 2009 IPF PPS
notice, we have been reviewing the
Medicare cost report and claims data for
both hospital-based and freestanding
IPFs to better understand the differences
in total Medicare costs per day. Parts of
our analysis were based on comments
received by the public, which we
address in more detail below. Based on
our research to date, which has not
adequately explained the cost-per-day
differences between freestanding and
hospital-based providers, we do not
believe it is technically appropriate to
move from the RPL market basket to
update IPF payments at this time.
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Comment: Several commenters
supported the ongoing application of
the RPL market basket to update
inpatient psychiatric facility payment
rates. One commenter recommended we
continue this method in order to
maintain a reasonable population size of
facilities to ensure stability in the
calculation of the market basket. The
commenter asserted that if the RPL
market basket was split into separate
market baskets for IRFs, IPFs, and
LTCHs, there would be much more
volatility in the year-to-year changes,
especially for LTCHs.
Response: We appreciate the
comments regarding the continued
support for using the RPL market basket
to update inpatient psychiatric facility
payment rates. Likewise, we appreciate
the comment regarding sample size
considerations with respect to splitting
the RPL market basket into its respective
pieces. Indeed, sample size and its
impact on the volatility of the estimates
will be extensively scrutinized before
we would propose to change the
mechanism used to update payments to
inpatient psychiatric facilities, inpatient
rehabilitation facilities, and long-term
care hospitals.
Comment: One commenter supported
the investigation of the differences in
cost structures between hospital-based
and freestanding IPFs. Besides
determining the source of these
differences, the commenter also stated it
is important for CMS to determine
whether the differences should be
recognized (for example, are higher
costs in IPF hospital-based facilities due
to allocation of overhead to the unit or
to differences in case mix or patient
severity that is not measurable using
available administrative data). This
commenter also acknowledged that
seeking outside input regarding
differences in cost structures between
hospital-based and freestanding IPFs is
appropriate. However, the commenter
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recommended that CMS proceed with
caution as it may be difficult for CMS
to confirm that the methods used to
collect outside data are sound and that
the data are representative of the
industry as a whole. The commenter
also stated that CMS should ultimately
determine whether the market basket
should in fact be based on the cost
structure of hospital-based and
freestanding IPFs (instead of just one
type of facility) if the higher costs
cannot be explained by differences in
case mix and other patient
characteristics.
Response: Although we asked for
outside information to help us better
understand these differences, we agree
with the commenter that any outside
information should be carefully
examined.
As we have stated, we currently do
not feel it is appropriate to incorporate
data from hospital-based IPFs with that
of freestanding IPFs to create a standalone IPF market basket given the
observed and unexplained differences
in cost structures.
Comment: Several commenters stated
that creating a stand-alone IPF market
basket could be a more accurate index
for the costs of delivering care incurred
by IPFs. However, the commenters
stated that they did not have any
independent data to help CMS in
developing a stand-alone market basket
at this time. The commenters suggested
that the issue of a stand-alone IPF
market basket continue to be analyzed
by CMS.
Response: We agree with the
commenters and plan to continue to
analyze costs and Medicare claims data
for hospital-based and freestanding
providers.
Comment: One commenter supports
the development of a stand-alone IPF
market basket. However, the commenter
encourages CMS to avoid mixing data
from hospital-based and freestanding
IPFs. The commenter claims that
hospital-based IPFs incur higher costs
than freestanding IPFs in treating
Medicare patients for the following
reasons:
• The acuity levels and medical
needs of psychiatric patients that
present in a hospital’s qualified
emergency room will result in higher
treatment costs and lengths of stay.
• Hospitals provide a greater range of
ancillary services.
• Some hospitals operate approved
psychiatric residency teaching
programs.
Therefore, the commenter is reluctant
to support a combined hospital-based,
freestanding IPF market basket at this
time. The commenter also offered to
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assist CMS with any information he or
she can provide.
Response: We appreciate the
commenter’s input on possible reasons
why hospital-based IPFs have higher
costs than freestanding IPFs. As stated
above, we compared the medical needs
of the patients, as measured by the
adjustments for DRG, comorbidities, and
age. Our analysis did show that
hospital-based providers, on average,
treat more complex patients; however,
the differences in the complexity of the
patients, as well as other facility-based
adjustments, did not adequately explain
the differences in total Medicare costs
per day between hospital-based and
freestanding providers. In addition,
using both Medicare cost report and
claims data, we found that hospitalbased providers, on average, had shorter
lengths of stay than freestanding
providers.
Per the commenter’s suggestion, and
using MCR data, we also compared the
Medicare ancillary costs per day of
hospital-based and freestanding
providers. We found that hospital-based
facilities, on average, tend to have
higher Medicare ancillary costs per day
than freestanding facilities. The
differences were mostly attributable to
higher emergency room and laboratory
costs. These higher ancillary costs
accounted for about ten percent of the
overall difference between hospitalbased and freestanding providers’ total
Medicare costs per day.
In addition, we compared the average
approved teaching costs for hospitalbased and freestanding providers. We
found that hospital-based providers
have higher teaching-related costs
associated with Medicare approved
programs relative to free standing
providers; however, the difference
accounted for only three percent of the
total difference in Medicare costs per
day for hospital-based and freestanding
providers.
Comment: One commenter simply
agreed with CMS that before
implementation of a new market basket
method, the method should be fully
evaluated and the projected impact
known.
Response: We agree with the
commenter’s suggestion. Before any
implementation, CMS will fully
evaluate our methodology to ensure that
any proposed market basket most
accurately reflects the cost structures
associated with providing psychiatric
care to Medicare patients.
Comment: One commenter does not
support the adoption of a stand-alone
IPF market basket at this time, pending
further study, as the commenter is not
convinced that CMS has the appropriate
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level of psychiatric cost data available to
compile an accurate market basket for
IPFs alone. These conclusions were
based on the following reasons:
• There are a small number of
facilities and often limited data (for
example, only 4 percent of IPFs reported
contract labor costs for FY 2002).
• Benefits, contract labor, and blood
cost weights were developed using the
FY 2002-based IPPS market basket.
• Other detailed cost categories were
derived from the FY 2002-based IPPS
market basket.
• No cost data specific to psychiatry
(that is, Wages and Salaries—based on
Civilian Hospital Workers).
The commenter stated that without
release of both relevant internal data
available only to CMS on the previously
mentioned IPF market basket issues, as
well as specific data on the types of cost
differences between the various cost
categories of IRF, IPF, and LTCH
facilities, they are unable to comment
on an independent IPF market basket at
this time. The commenter believes that
more detailed analysis needs to be
conducted and released before they
could consider supporting any change
to the current RPL-based market basket
update process.
Response: We are in the process of
evaluating multiple years of data in
order to determine whether a standalone IPF market basket would be a
more appropriate index for updating IPF
PPS payments. We agree with the
commenter that there is a lack of IPFspecific benefit and contract labor cost
data. Currently, benefit and contract
labor cost data are collected on
Worksheet S–3, part II of the Medicare
cost report (MCR), but are only required
of IPPS hospitals. We proposed under
separate cover to modify the present-day
hospital MCR in order to collect benefit
and contract labor data on a separate
worksheet (proposed Worksheet S–3,
part V) which would be completed by
all hospitals (https://www.cms.hhs.gov/
PaperworkReductionActof1995/PRAL/
itemdetail.asp?filterType=none&
filterByDID=-99&sortByDID=2&
sortOrder=descending&itemID
=CMS1224069&intNumPerPage). We
disagree with the commenter that we are
not capturing IPF-specific data for
wages and salaries since all hospitals
are required to report this data on the
MCRs, which provides the sources of
our wages and salaries cost weight. We
believe the commenter may be
referencing the Employment Cost Index
(ECI) for wages and salaries for hospital
civilian workers which we use to proxy
price changes associated with the wages
and salary cost weight. This proxy is
used because the Bureau of Labor
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Statistics does not publish a wages and
salaries price index specific to IPFs
only. However, the ECI for wages and
salaries for hospital civilian workers
does include the price changes of IPFs,
as well as other hospital-types
(including general surgical hospitals).
IV. Update of the IPF PPS Adjustment
Factors
A. Overview of the IPF PPS Adjustment
Factors
The IPF PPS payment adjustments
were derived from a regression analysis
of 100 percent of the FY 2002 MedPAR
data file, which contained 483,038
cases. For this notice, we used the same
results of the regression analysis used to
implement the November 2004 IPF PPS
final rule. For a more detailed
description of the data file used for the
regression analysis, see the November
2004 IPF PPS final rule (69 FR 66935
through 66936). While we have since
used more recent claims data to set the
fixed dollar loss threshold amount, we
use the same results of this regression
analysis to update the IPF PPS for RY
2010 as well as RY 2011.
As previously stated, we do not plan
to update the regression analysis until
we are able to analyze IPF PPS claims
and cost report data. However, we
continue to monitor claims and
payment data independently from cost
report data to assess issues, to determine
whether changes in case-mix or
payment shifts have occurred among
freestanding governmental, non-profit
and private psychiatric hospitals, and
psychiatric units of general hospitals,
and CAHs and other issues of
importance to IPFs.
B. Patient-Level Adjustments
In the May 2008 IPF PPS notice (73
FR 25709) and in the May 2009 IPF PPS
notice (74 FR 20362), we provided
payment adjustments for the following
patient-level characteristics: Medicare
Severity diagnosis related groups (MS–
DRGs) assignment of the patient’s
principal diagnosis, selected
comorbidities, patient age, and the
variable per diem adjustments.
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1. Adjustment for MS–DRG Assignment
The IPF PPS includes payment
adjustments for the psychiatric DRG
assigned to the claim based on each
patient’s principal diagnosis. The IPF
PPS recognizes the MS–DRGs. The DRG
adjustment factors were expressed
relative to the most frequently reported
psychiatric DRG in FY 2002, that is,
DRG 430 (psychoses). The coefficient
values and adjustment factors were
derived from the regression analysis.
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In accordance with § 412.27(a),
payment under the IPF PPS is
conditioned on IPFs admitting ‘‘only
patients whose admission to the unit is
required for active treatment, of an
intensity that can be provided
appropriately only in an inpatient
hospital setting, of a psychiatric
principal diagnosis that is listed in
Chapter Five (‘‘Mental Disorders’’) of the
International Classification of Diseases,
Ninth Revision, Clinical Modification
(ICD–9–CM)’’ or in the Fourth Edition,
Text Revision of the American
Psychiatric Association’s Diagnostic and
Statistical Manual, (DSM–IV–TR). IPF
claims with a principal diagnosis
included in Chapter Five of the ICD–9–
CM or the DSM–IV–TR are paid the
Federal per diem base rate under the IPF
PPS and all other applicable
adjustments, including any applicable
DRG adjustment. Psychiatric principal
diagnoses that do not group to one of
the designated DRGs still receive the
Federal per diem base rate and all other
applicable adjustments, but the payment
would not include a DRG adjustment.
The Standards for Electronic
Transaction final rule published in the
Federal Register on August 17, 2000 (65
FR 50312), adopted the ICD–9–CM as
the designated code set for reporting
diseases, injuries, impairments, other
health related problems, their
manifestations, and causes of injury,
disease, impairment, or other health
related problems. Therefore, we use the
ICD–9–CM as the designated code set
for the IPF PPS.
We believe that it is important to
maintain the same diagnostic coding
and DRG classification for IPFs that are
used under the IPPS for providing the
psychiatric care. Therefore, when the
IPF PPS was implemented for cost
reporting periods beginning on or after
January 1, 2005, we adopted the same
diagnostic code set and DRG patient
classification system (that is, the CMS
DRGs) that was utilized at the time
under the hospital inpatient prospective
payment system (IPPS). Since the
inception of the IPF PPS, the DRGs used
as the patient classification system
under the IPF PPS have corresponded
exactly with the CMS DRGs applicable
under the IPPS for acute care hospitals.
Every year, changes to the ICD–9–CM
coding system are addressed in the IPPS
proposed and final rules. The changes to
the codes are effective October 1 of each
year and must be used by acute care
hospitals as well as other providers to
report diagnostic and procedure
information. The IPF PPS has always
incorporated ICD–9–CM coding changes
made in the annual IPPS update. We
publish coding changes in a
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23113
Transmittal/Change Request, similar to
how coding changes are announced by
the IPPS and LTCH PPS. Those ICD–9–
CM coding changes are also published
in the following IPF PPS RY update, in
either the IPF PPS proposed and final
rules, or in an IPF PPS update notice.
In the May 2008 IPF PPS notice (73
FR 25714), we discussed CMS’ effort to
better recognize resource use and the
severity of illness among patients. CMS
adopted the new MS–DRGs for the IPPS
in the FY 2008 IPPS final rule with
comment period (72 FR 47130). We
believe by better accounting for patients’
severity of illness in Medicare payment
rates, the MS–DRGs encourage hospitals
to improve their coding and
documentation of patient diagnoses.
The MS–DRGs, which are based on the
CMS DRGs, represent a significant
increase in the number of DRGs (from
538 to 745, an increase of 207). For a
full description of the development and
implementation of the MS–DRGs, see
the FY 2008 IPPS final rule with
comment period (72 FR 47141 through
47175).
All of the ICD–9–CM coding changes
are reflected in the FY 2010 GROUPER,
Version 27.0, effective for IPPS
discharges occurring on or after October
1, 2009 through September 30, 2010.
The GROUPER Version 27.0 software
package assigns each case to an MS–
DRG on the basis of the diagnosis and
procedure codes and demographic
information (that is, age, sex, and
discharge status). The Medicare Code
Editor (MCE) 26.0 uses the new ICD–9–
CM codes to validate coding for IPPS
discharges on or after October 1, 2009.
For additional information on the
GROUPER Version 27.0 and MCE 26.0,
see Transmittal 1816 (Change Request
6634), dated October 1, 2009. The IPF
PPS has always used the same
GROUPER and Code Editor as the IPPS.
Therefore, the ICD–9–CM changes,
which were reflected in the GROUPER
Version 27.0 and MCE 26.0 on October
1, 2009, also became effective for the
IPF PPS for discharges occurring on or
after October 1, 2009.
The impact of the new MS–DRGs on
the IPF PPS was negligible. Mapping to
the MS–DRGs resulted in the current 17
MS–DRGs, instead of the original 15
DRGs, for which the IPF PPS provides
an adjustment. Although the code set is
updated, the same associated
adjustment factors apply now that have
been in place since implementation of
the IPF PPS, with one exception that is
unrelated to the update to the codes.
When DRGs 521 and 522 were
consolidated into MS–DRG 895, we
carried over the adjustment factor of
1.02 from DRG 521 to the newly
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Office, Department 50, Washington, DC
20402–9329, telephone number (202)
512–1800. Questions concerning the
ICD–9–CM should be directed to
Patricia E. Brooks, Co-Chairperson, ICD–
9–CM Coordination and Maintenance
Committee, CMS, Center for Medicare
Management, Hospital and Ambulatory
Policy Group, Division of Acute Care,
Mailstop C4–08–06, 7500 Security
Boulevard, Baltimore, Maryland 21244–
1850.
Further information concerning the
official version of the ICD–9–CM can be
found in the IPPS final rule with
comment period, ‘‘Changes to Hospital
Inpatient Prospective Payment System
and Fiscal Year 2010 Rates’’ in the
consolidated MS–DRG. This was done
to reflect the higher claims volume
under DRG 521, with more than eight
times the number of claims than billed
under DRG 522. The updates are
reflected in Table 5. For a detailed
description of the mapping changes
from the original DRG adjustment
categories to the current MS–DRG
adjustment categories, we refer readers
to the May 2008 IPF PPS notice (73 FR
25714).
The official version of the ICD–9–CM
is available on CD–ROM from the U.S.
Government Printing Office. The FY
2009 version can be ordered by
contacting the Superintendent of
Documents, U.S. Government Printing
August 27, 2009 Federal Register (74 FR
43754) and at https://www.cms.hhs.gov/
AcuteInpatientPPS/IPPS/
list.asp#TopOfPage.
Tables 3 and 4 below list the FY 2010
new and invalid ICD–9–CM diagnosis
codes that group to one of the 17 MS–
DRGs for which the IPF PPS provides an
adjustment. These tables are only a
listing of FY 2010 changes and do not
reflect all of the currently valid and
applicable ICD–9–CM codes classified
in the MS–DRGs. When coded as a
principal code or diagnosis, these codes
receive the correlating MS–DRG
adjustment.
TABLE 3—FY 2010 NEW DIAGNOSIS CODES
Diagnosis code
438.13
438.14
799.21
799.22
799.23
799.24
799.25
799.29
...............
...............
...............
...............
...............
...............
...............
...............
Description
MS–DRG
Late effects of cerebrovascular disease, dysarthria .............................................................................................
Late effects of cerebrovascular disease, fluency disorder ...................................................................................
Nervousness .........................................................................................................................................................
Irritability ...............................................................................................................................................................
Impulsiveness .......................................................................................................................................................
Emotional lability ...................................................................................................................................................
Demoralization and apathy ...................................................................................................................................
Other signs and symptoms involving emotional state ..........................................................................................
TABLE 4—FY 2010 INVALID
DIAGNOSIS CODES
Diagnosis
code
Description
799.2 ......
Nervousness ...........
MS–DRG
880
056, 057
056, 057
880
880
882
883
880
880
We do not plan to update the
regression analysis until we are able to
analyze IPF PPS data. The MS–DRG
adjustment factors (as shown in Table 5
below) will continue to be paid for
discharges occurring in RY 2011.
TABLE 5—RY 2011 CURRENT MS–DRGS APPLICABLE FOR THE PRINCIPAL DIAGNOSIS ADJUSTMENT
MS–DRG
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056
057
080
081
876
880
881
882
883
884
885
886
887
894
895
896
897
....................
....................
....................
....................
....................
....................
....................
....................
....................
....................
....................
....................
....................
....................
....................
....................
....................
Degenerative nervous system disorders w MCC .................................................................................................
Degenerative nervous system disorders w/o MCC ..............................................................................................
Nontraumatic stupor & coma w MCC ...................................................................................................................
Nontraumatic stupor & coma w/o MCC ................................................................................................................
O.R. procedure w principal diagnoses of mental illness ......................................................................................
Acute adjustment reaction & psychosocial dysfunction .......................................................................................
Depressive neuroses ............................................................................................................................................
Neuroses except depressive ................................................................................................................................
Disorders of personality & impulse control ...........................................................................................................
Organic disturbances & mental retardation ..........................................................................................................
Psychoses ............................................................................................................................................................
Behavioral & developmental disorders .................................................................................................................
Other mental disorder diagnoses .........................................................................................................................
Alcohol/drug abuse or dependence, left AMA ......................................................................................................
Alcohol/drug abuse or dependence w rehabilitation therapy ...............................................................................
Alcohol/drug abuse or dependence w/o rehabilitation therapy w MCC ...............................................................
Alcohol/drug abuse or dependence w/o rehabilitation therapy w/o MCC ............................................................
2. Payment for Comorbid Conditions
The intent of the comorbidity
adjustments is to recognize the
increased costs associated with
comorbid conditions by providing
additional payments for certain
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factor
MS–DRG descriptions
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concurrent medical or psychiatric
conditions that are expensive to treat. In
the May 2009 IPF PPS notice (74 FR
20362), we explained that the IPF PPS
includes 17 comorbidity categories and
identified the new, revised, and deleted
ICD–9–CM diagnosis codes that generate
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1.05
1.05
1.07
1.07
1.22
1.05
0.99
1.02
1.02
1.03
1.00
0.99
0.92
0.97
1.02
0.88
0.88
a comorbid condition payment
adjustment under the IPF PPS for RY
2010 (77 FR 20372).
Comorbidities are specific patient
conditions that are secondary to the
patient’s principal diagnosis and that
require treatment during the stay.
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Diagnoses that relate to an earlier
episode of care and have no bearing on
the current hospital stay are excluded
and must not be reported on IPF claims.
Comorbid conditions must exist at the
time of admission or develop
subsequently, and affect the treatment
received, length of stay (LOS), or both
treatment and LOS.
For each claim, an IPF may receive
only one comorbidity adjustment per
comorbidity category, but it may receive
an adjustment for more than one
comorbidity category. Billing
instructions require that IPFs must enter
the full ICD–9–CM codes for up to 8
additional diagnoses if they co-exist at
the time of admission or develop
subsequently and impact the treatment
provided.
The comorbidity adjustments were
determined based on the regression
analysis using the diagnoses reported by
IPFs in FY 2002. The principal
diagnoses were used to establish the
DRG adjustments and were not
accounted for in establishing the
comorbidity category adjustments,
except where ICD–9–CM ‘‘code first’’
instructions apply. As we explained in
the May 2008 IPF PPS notice (73 FR
25716), the code first rule applies when
a condition has both an underlying
etiology and a manifestation due to the
underlying etiology. For these
conditions, the ICD–9–CM has a coding
convention that requires the underlying
conditions to be sequenced first
followed by the manifestation.
Whenever a combination exists, there is
a ‘‘use additional code’’ note at the
etiology code and a code first note at the
manifestation code.
As discussed in the MS–DRG section,
it is our policy to maintain the same
diagnostic coding set for IPFs that is
used under the IPPS for providing the
same psychiatric care. Although the
ICD–9–CM code set has been updated,
the same adjustment factors have been
in place since the implementation of the
IPF PPS. Table 6 below lists the FY 2010
new ICD diagnosis codes that impact the
comorbidity adjustments under the IPF
PPS. Table 6 is not a list of all currently
valid ICD codes applicable for the IPF
PPS comorbidity adjustments.
TABLE 6—FY 2010 NEW ICD CODES APPLICABLE FOR THE COMORBIDITY ADJUSTMENT
Diagnosis code
209.31
209.32
209.33
209.34
209.35
209.36
209.70
209.71
209.72
209.73
209.74
209.75
209.79
239.81
239.89
969.00
969.01
969.02
969.03
969.04
969.05
969.09
969.70
969.71
969.72
969.73
969.79
...............
...............
...............
...............
...............
...............
...............
...............
...............
...............
...............
...............
...............
...............
...............
...............
...............
...............
...............
...............
...............
...............
...............
...............
...............
...............
...............
Description
Comorbidity category
Merkel cell carcinoma of the face ........................................................................................................
Merkel cell carcinoma of the scalp and neck ......................................................................................
Merkel cell carcinoma of the upper limb .............................................................................................
Merkel cell carcinoma of the lower limb ..............................................................................................
Merkel cell carcinoma of the trunk ......................................................................................................
Merkel cell carcinoma of other sites ....................................................................................................
Secondary neuroendocrine tumor, unspecified site ............................................................................
Secondary neuroendocrine tumor of distant lymph nodes ..................................................................
Secondary neuroendocrine tumor of liver ...........................................................................................
Secondary neuroendocrine tumor of bone ..........................................................................................
Secondary neuroendocrine tumor of peritoneum ................................................................................
Secondary Merkel cell carcinoma ........................................................................................................
Secondary neuroendocrine tumor of other sites .................................................................................
Neoplasms of unspecified nature, retina and choroid .........................................................................
Neoplasms of unspecified nature, other specified sites ......................................................................
Poisoning by antidepressant, unspecified ...........................................................................................
Poisoning by monoamine oxidase inhibitors .......................................................................................
Poisoning by selective serotonin and norepinephrine reuptake inhibitors ..........................................
Poisoning by selective serotonin reuptake inhibitors ..........................................................................
Poisoning by tetracyclic antidepressants .............................................................................................
Poisoning by tricyclic antidepressants .................................................................................................
Poisoning by other antidepressants ....................................................................................................
Poisoning by psychostimulant, unspecified .........................................................................................
Poisoning by caffeine ...........................................................................................................................
Poisoning by amphetamines ................................................................................................................
Poisoning by methylphenidate .............................................................................................................
Poisoning by other psychostimulants ..................................................................................................
Table 7 below lists the FY 2010
revised ICD diagnosis codes that are
Oncology Treatment.
Oncology Treatment.
Oncology Treatment.
Oncology Treatment.
Oncology Treatment.
Oncology Treatment.
Oncology Treatment.
Oncology Treatment.
Oncology Treatment.
Oncology Treatment.
Oncology Treatment.
Oncology Treatment.
Oncology Treatment.
Oncology Treatment.
Oncology Treatment.
Poisoning.
Poisoning.
Poisoning.
Poisoning.
Poisoning.
Poisoning.
Poisoning.
Poisoning.
Poisoning.
Poisoning.
Poisoning.
Poisoning.
applicable for the comorbidity
adjustment.
TABLE 7—FY 2010 REVISED ICD CODES APPLICABLE FOR THE COMORBIDITY ADJUSTMENT
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Diagnosis code
Description
584.5 .................
584.6 .................
584.7 .................
584.8 .................
584.9 .................
639.3 .................
669.32 ...............
Acute kidney failure with lesion of tubular necrosis ............................................................................
Acute kidney failure with lesion of renal cortical necrosis ...................................................................
Acute kidney failure with lesion of renal medullary [papillary] necrosis ..............................................
Acute kidney failure with other specified pathological lesion in kidney ..............................................
Acute kidney failure, unspecified .........................................................................................................
Kidney failure following abortion and ectopic and molar pregnancies ................................................
Acute kidney failure following labor and delivery, delivered, with mention of postpartum complication.
Acute kidney failure following labor and delivery, postpartum condition or complication ...................
669.34 ...............
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Comorbidity category
E:\FR\FM\30APN2.SGM
30APN2
Renal
Renal
Renal
Renal
Renal
Renal
Renal
Failure,
Failure,
Failure,
Failure,
Failure,
Failure,
Failure,
Acute.
Acute.
Acute.
Acute.
Acute.
Acute.
Acute.
Renal Failure, Acute.
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Table 8 below lists the invalid FY
2010 ICD–9–CM codes no longer
applicable for the comorbidity
adjustment.
TABLE 8—FY 2010 INVALID ICD CODES NO LONGER APPLICABLE FOR THE COMORBIDITY ADJUSTMENT
Diagnosis code
Description
239.8 .................
969.0 .................
969.7 .................
Neoplasm of unspecified nature of other specified sites ....................................................................
Poisoning by antidepressants ..............................................................................................................
Poisoning by psychostimulants ............................................................................................................
For RY 2011, we are applying the
seventeen comorbidity categories for
which we are providing an adjustment,
Comorbidity category
their respective codes, including the
new FY 2010 ICD–9–CM codes, and
Oncology Treatment.
Poisoning.
Poisoning.
their respective adjustment factors in
Table 9 below.
TABLE 9—RY 2011 DIAGNOSIS CODES AND ADJUSTMENT FACTORS FOR COMORBIDITY CATEGORIES
Adjustment
factor
Description of comorbidity
ICD–9CM code
Developmental Disabilities ........................
Coagulation Factor Deficits ......................
Tracheostomy ...........................................
Renal Failure, Acute .................................
317, 3180, 3181, 3182, and 319 .................................................................................
2860 through 2864 .......................................................................................................
51900 through 51909 and V440 ..................................................................................
5845 through 5849, 63630, 63631, 63632, 63730, 63731, 63732, 6383, 6393,
66932, 66934, 9585.
40301, 40311, 40391, 40402, 40412, 40413, 40492, 40493, 5853, 5854, 5855,
5856, 5859, 586, V4511, V4512, V560, V561, and V562.
1400 through 2399 with a radiation therapy code 92.21–92.29 or chemotherapy
code 99.25.
25002, 25003, 25012, 25013, 25022, 25023, 25032, 25033, 25042, 25043, 25052,
25053, 25062, 25063, 25072, 25073, 25082, 25083, 25092, and 25093.
260 through 262 ...........................................................................................................
3071, 30750, 31203, 31233, and 31234 .....................................................................
01000 through 04110, 042, 04500 through 05319, 05440 through 05449, 0550
through 0770, 0782 through 07889, and 07950 through 07959.
2910, 2920, 29212, 2922, 30300, and 30400 .............................................................
1.04
1.13
1.06
1.11
3910, 3911, 3912, 40201, 40403, 4160, 4210, 4211, and 4219 .................................
44024 and 7854 ...........................................................................................................
49121, 4941, 5100, 51883, 51884, V4611, V4612, V4613 and V4614 ......................
56960 through 56969, 9975, and V441 through V446 ................................................
6960, 7100, 73000 through 73009, 73010 through 73019, and 73020 through
73029.
96500 through 96509, 9654, 9670 through 9699, 9770, 9800 through 9809, 9830
through 9839, 986, 9890 through 9897.
1.11
1.10
1.12
1.08
1.09
Renal Failure, Chronic ..............................
Oncology Treatment .................................
Uncontrolled Diabetes-Mellitus with or
without complications.
Severe Protein Calorie Malnutrition ..........
Eating and Conduct Disorders .................
Infectious Disease ....................................
Drug and/or Alcohol Induced Mental Disorders.
Cardiac Conditions ...................................
Gangrene ..................................................
Chronic Obstructive Pulmonary Disease ..
Artificial Openings—Digestive and Urinary
Severe Musculoskeletal and Connective
Tissue Diseases.
Poisoning ..................................................
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3. Patient Age Adjustments
As explained in the November 2004
IPF PPS final rule (69 FR 66922), we
analyzed the impact of age on per diem
cost by examining the age variable (that
is, the range of ages) for payment
adjustments.
In general, we found that the cost per
day increases with age. The older age
groups are more costly than the under
45 age group, the differences in per
diem cost increase for each successive
age group, and the differences are
statistically significant.
For RY 2011, we are continuing to use
the patient age adjustments currently in
effect as shown in Table 10 below.
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TABLE 10—AGE GROUPINGS AND
ADJUSTMENT FACTORS
Adjustment
factor
Age
Under 45 .................................
45 and under 50 .....................
50 and under 55 .....................
55 and under 60 .....................
60 and under 65 .....................
65 and under 70 .....................
70 and under 75 .....................
75 and under 80 .....................
80 and over ............................
1.00
1.01
1.02
1.04
1.07
1.10
1.13
1.15
1.17
4. Variable Per Diem Adjustments
We explained in the November 2004
IPF PPS final rule (69 FR 66946) that the
regression analysis indicated that per
diem cost declines as the LOS increases.
The variable per diem adjustments to
the Federal per diem base rate account
for ancillary and administrative costs
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1.11
1.07
1.05
1.13
1.12
1.07
1.03
1.11
that occur disproportionately in the first
days after admission to an IPF.
We used a regression analysis to
estimate the average differences in per
diem cost among stays of different
lengths. As a result of this analysis, we
established variable per diem
adjustments that begin on day 1 and
decline gradually until day 21 of a
patient’s stay. For day 22 and thereafter,
the variable per diem adjustment
remains the same each day for the
remainder of the stay. However, the
adjustment applied to day 1 depends
upon whether the IPF has a qualifying
ED. If an IPF has a qualifying ED, it
receives a 1.31 adjustment factor for day
1 of each stay. If an IPF does not have
a qualifying ED, it receives a 1.19
adjustment factor for day 1 of the stay.
The ED adjustment is explained in more
detail in section IV.C.5 of this notice.
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For RY 2011, we are continuing to use
the variable per diem adjustment factors
currently in effect as shown in Table 11
below. A complete discussion of the
variable per diem adjustments appears
in the November 2004 IPF PPS final rule
(69 FR 66946).
TABLE 11—VARIABLE PER DIEM
ADJUSTMENTS
Day-of-stay
Adjustment
factor
Day 1—IPF Without a Qualifying ED ..............................
Day 1—IPF With a Qualifying
ED .......................................
Day 2 ......................................
Day 3 ......................................
Day 4 ......................................
Day 5 ......................................
Day 6 ......................................
Day 7 ......................................
Day 8 ......................................
Day 9 ......................................
Day 10 ....................................
Day 11 ....................................
Day 12 ....................................
Day 13 ....................................
Day 14 ....................................
Day 15 ....................................
Day 16 ....................................
Day 17 ....................................
Day 18 ....................................
Day 19 ....................................
Day 20 ....................................
Day 21 ....................................
After Day 21 ...........................
1.19
1.31
1.12
1.08
1.05
1.04
1.02
1.01
1.01
1.00
1.00
0.99
0.99
0.99
0.99
0.98
0.97
0.97
0.96
0.95
0.95
0.95
0.92
C. Facility-Level Adjustments
The IPF PPS includes facility-level
adjustments for the wage index, IPFs
located in rural areas, teaching IPFs,
cost of living adjustments for IPFs
located in Alaska and Hawaii, and IPFs
with a qualifying ED.
1. Wage Index Adjustment
wwoods2 on DSKDVH8Z91PROD with NOTICES2
a. Background
As discussed in the May 2006 IPF PPS
final rule and in the May 2008 and May
2009 update notices, in providing an
adjustment for geographic wage levels,
the labor-related portion of an IPF’s
payment is adjusted using an
appropriate wage index. Currently, an
IPF’s geographic wage index value is
determined based on the actual location
of the IPF in an urban or rural area as
defined in § 412.64(b)(1)(ii)(A) through
§ 412.64(C).
b. Wage Index for RY 2011
Since the inception of the IPF PPS, we
have used hospital wage data in
developing a wage index to be applied
to IPFs. We are continuing that practice
for RY 2011. We apply the wage index
adjustment to the labor-related portion
of the Federal rate, which is 75.400
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percent. This percentage reflects the
labor-related relative importance of the
RPL market basket for RY 2011 (see
section III.B.2 of this notice). The IPF
PPS uses the pre-floor, pre-reclassified
hospital wage index. Changes to the
wage index are made in a budget neutral
manner so that updates do not increase
expenditures.
For RY 2011, we are applying the
most recent hospital wage index (that is,
the FY 2010 pre-floor, pre-reclassified
hospital wage index because this is the
most appropriate index as it best reflects
the variation in local labor costs of IPFs
in the various geographic areas) using
the most recent hospital wage data (that
is, data from hospital cost reports for the
cost reporting period beginning during
FY 2006), and applying an adjustment
in accordance with our budget
neutrality policy. This policy requires
us to estimate the total amount of IPF
PPS payments in RY 2010 using the
applicable wage index value divided by
the total estimated IPF PPS payments in
RY 2011 using the most recent wage
index. The estimated payments are
based on FY 2008 IPF claims, inflated
to the appropriate RY. This quotient is
the wage index budget neutrality factor,
and it is applied in the update of the
Federal per diem base rate for RY 2011
in addition to the market basket
described in section III.B.1 of this
notice. The wage index budget
neutrality factor for RY 2011 is 0.9999.
The wage index applicable for RY
2011 appears in Table 1 and Table 2 in
Addendum B of this notice. As
explained in the May 2006 IPF PPS final
rule for RY 2007 (71 FR 27061), the IPF
PPS applies the hospital wage index
without a hold-harmless policy, and
without an out-commuting adjustment
or out-migration adjustment because the
statutory authority for these policies
applies only to the IPPS.
Also in the May 2006 IPF PPS final
rule for RY 2007 (71 FR 27061), we
adopted the changes discussed in the
Office of Management and Budget
(OMB) Bulletin No. 03–04 (June 6,
2003), which announced revised
definitions for Metropolitan Statistical
Areas (MSAs), and the creation of
Micropolitan Statistical Areas and
Combined Statistical Areas. In adopting
the OMB Core-Based Statistical Area
(CBSA) geographic designations, since
the IPF PPS was already in a transition
period from TEFRA payments to PPS
payments, we did not provide a separate
transition for the CBSA-based wage
index.
As was the case in RY 2010, for RY
2011 we will continue to use the CBSAbased wage index values as presented in
Tables 1 and 2 in Addendum B of this
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23117
notice. A complete discussion of the
CBSA labor market definitions appears
in the May 2006 IPF PPS final rule (71
FR 27061 through 27067).
In summary, for RY 2011 we will use
the FY 2010 wage index data (collected
from cost reports submitted by hospitals
for cost reporting periods beginning
during FY 2006) to adjust IPF PPS
payments beginning July 1,2010.
c. OMB Bulletins
The Office of Management and Budget
(OMB) publishes bulletins regarding
CBSA changes, including changes to
CBSA numbers and titles. In the May
2008 IPF PPS notice, we incorporated
the CBSA nomenclature changes
published in the most recent OMB
bulletin that applies to the hospital
wage data used to determine the current
IPF PPS wage index (73 FR 25721). We
will continue to do the same for all such
OMB CBSA nomenclature changes in
future IPF PPS rules and notices, as
necessary. The OMB bulletins may be
accessed online at https://
www.whitehouse.gov/omb/bulletins/
index.html.
2. Adjustment for Rural Location
In the November 2004 IPF PPS final
rule, we provided a 17 percent payment
adjustment for IPFs located in a rural
area. This adjustment was based on the
regression analysis, which indicated
that the per diem cost of rural facilities
was 17 percent higher than that of urban
facilities after accounting for the
influence of the other variables included
in the regression. For RY 2011, we are
applying a 17 percent payment
adjustment for IPFs located in a rural
area as defined at § 412.64(b)(1)(ii)(C).
As stated in the November 2004 IPF PPS
final rule, we do not intend to update
the adjustment factors derived from the
regression analysis until we are able to
analyze IPF PPS data. A complete
discussion of the adjustment for rural
locations appears in the November 2004
IPF PPS final rule (69 FR 66954).
3. Teaching Adjustment
In the November 2004 IPF PPS final
rule, we implemented regulations at
§ 412.424(d)(1)(iii) to establish a facilitylevel adjustment for IPFs that are, or are
part of, teaching hospitals. The teaching
adjustment accounts for the higher
indirect operating costs experienced by
hospitals that participate in graduate
medical education (GME) programs. The
payment adjustments are made based on
the number of full-time equivalent (FTE)
interns and residents training in the IPF
and the IPF’s average daily census.
Medicare makes direct GME payments
(for direct costs such as resident and
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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. The direct GME payments do not
address the estimated higher indirect
operating costs teaching hospitals may
face.
For teaching hospitals paid under the
TEFRA rate-of-increase limits, Medicare
did not make separate payments for
indirect medical education costs
because payments to these hospitals
were based on the hospitals’ reasonable
costs which already included these
higher indirect costs that may be
associated with teaching programs.
The results of the regression analysis
of FY 2002 IPF data established the
basis for the payment adjustments
included in the November 2004 IPF PPS
final rule. The results showed that the
indirect teaching cost variable is
significant in explaining the higher
costs of IPFs that have teaching
programs. We calculated the teaching
adjustment based on the IPF’s ‘‘teaching
variable,’’ which is one plus the ratio of
the number of FTE residents training in
the IPF (subject to limitations described
below) to the IPF’s average daily census
(ADC).
We established the teaching
adjustment in a manner that limited the
incentives for IPFs to add FTE residents
for the purpose of increasing their
teaching adjustment. We imposed a cap
on the number of FTE residents that
may be counted for purposes of
calculating the teaching adjustment. We
emphasize that the cap limits the
number of FTE residents that teaching
IPFs may count for the purposes of
calculating the IPF PPS teaching
adjustment, not the number of residents
teaching institutions can hire or train.
We calculated the number of FTE
residents that trained in the IPF during
a ‘‘base year’’ and used that FTE resident
number as the cap. An IPF’s FTE
resident cap is ultimately determined
based on the final settlement of the IPF’s
most recent cost report filed before
November 15, 2004 (that is, the
publication date of the IPF PPS final
rule).
In the regression analysis, the
logarithm of the teaching variable had a
coefficient value of 0.5150. We
converted this cost effect to a teaching
payment adjustment by treating the
regression coefficient as an exponent
and raising the teaching variable to a
power equal to the coefficient value. We
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note that the coefficient value of 0.5150
was based on the regression analysis
holding all other components of the
payment system constant.
As with other adjustment factors
derived through the regression analysis,
we do not plan to rerun the regression
analysis until we analyze IPF PPS data.
Therefore, for RY 2011, we are retaining
the coefficient value of 0.5150 for the
teaching adjustment to the Federal per
diem base rate.
A complete discussion of how the
teaching adjustment was calculated
appears in the November 2004 IPF PPS
final rule (69 FR 66954 through 66957)
and the May 2008 IPF PPS notice (73 FR
25721).
FTE Intern and Resident Cap
Adjustment
CMS has been asked to reconsider the
current policy on the FTE intern and
resident cap adjustment and to permit
an increase in the FTE resident cap
when the IPF increases the number of
FTE residents it trains due to the
acceptance of relocated residents when
another IPF closes or closes its
psychiatry residency program. To help
us assess how many IPFs have been, or
expect to be adversely affected by their
inability to adjust their caps under
§ 412.424(d)(1) and under these
situations, we specifically requested
public comment from IPFs in the May
2009 IPF PPS notice (74 FR 20362). A
summary of the comments and our
response to those comments are below.
Comment: We received several
comments on the FTE Intern and
Resident Cap Adjustment. All of the
commenters recommended that CMS
modify the IPF PPS resident cap policy,
supporting a policy change that would
permit the IPF PPS residency cap to be
increased when residents in a
psychiatry residency program must be
relocated from one IPF to another due
to closure of an IPF or an IPF’s
psychiatry residency training program.
Many commenters expressed concern
that a cap on the number of FTE
residents used to calculate the teaching
adjustment is based on a snapshot of
activity essentially ‘‘freezing’’ the status
of residency education at a random
point in time, CY 2004. Commenters
stated that it is time to substantially
modify the resident cap policy for the
IPF PPS. Several commenters stated that
this change in residency policy could
help address the psychiatrist shortage,
and help ensure access to care for
beneficiaries who suffer from mental
health and substance use disorders.
Other commenters pointed out that the
demand for health care services will
continue to rise with the growing needs
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of the 78 million ‘‘baby boomers’’ who
will retire in 2010 and with the recent
passage of Paul Wellstone and Pete
Domenici Mental Health Parity and
Addiction Equality Act of 2008. The
commenters further stated that the U.S.
already faces a shortage of psychiatrists,
and these factors could potentially
elevate what is now a problem to what
could be a crisis.
Several commenters stated that in FY
2000, CMS instituted a temporary
adjustment to the IPPS FTE cap policy
when a hospital increases the number of
FTE residents it trains due to the
acceptance of relocated residents when
another hospital closes (64 FR 41552).
The commenters further stated that in
FY 2002, CMS also implemented a
similar policy for acute care hospitals
that accept relocated residents from a
closed program (66 FR 39899). The
commenters indicated that the same
need exists for IPFs that accept
displaced residents when an IPF closes
or when an IPF or acute care hospital
closes its psychiatric residency program.
The commenters recommended that
CMS implement a temporary resident
cap increase policy to the current FTE
resident cap when an IPF increases the
number of FTE residents it trains due to
the acceptance of relocated residents.
The commenters believe this change is
necessary in order to promote
consistency among payment systems
and to ensure that residents training in
psychiatry can continue their training
when their original residency training
program closes.
Several commenters suggested that
although the extent of the problem of
displaced psychiatry residents is not
clear at this time, the number of
inpatient psychiatric units is declining.
Therefore, they agreed that a temporary
increase in the resident cap, similar to
that allowed for acute care hospitals,
would provide an incentive for IPFs to
accept those psychiatry residents who
are displaced by the closure of
residency training programs. Some
commenters expressed concern that
inpatient psychiatric programs are
closing in different parts of the country
and believe the cap issue could become
more of a problem in the future.
One association surveyed IPFs and
concluded that the cap does impact IPF
training of psychiatric residents.
Specifically, they stated that certain
IPFs reported that they trained
additional residents from a closed
residency program and have exceeded
their caps because of those residents.
Other IPFs in the survey reported that
they had been asked to train additional
residents but had not agreed because
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these additional residents would have
caused them to exceed their cap.
Another commenter believes the cap
limits the flexibility of health systems to
become more efficient by consolidating
programs and residency training. This
commenter indicated that while they
have not heard of many facilities that
have experienced a problem exceeding
the cap, they were aware of specific
cases where it has created problems and
prevented some changes in the training
of residents from one IPF to another.
The example cited was a facility in the
northwest that is part of a large health
system, wanted to close down their
training program in their outpatient
department and shift the residents to an
IPF owned by the health system.
However, they indicated that the cap
prevented the system from moving the
residents from the outpatient program to
the IPF.
Another commenter believes this
change is necessary and has personally
encountered this situation when a local
IPF was closed and their residents had
to be relocated, some of which came to
the commenter’s facility. The
commenter stated that a change in this
policy would help keep needed
residency slots in the local
communities.
One commenter indicated that they
trained 24.56 FTE(s), which included
1.60 FTE(s) from a closed IPF. The
commenter’s cap is 18.18. The
commenter indicated training of the
closed IPF’s residents did not give them
relief from the cap.
Response: We appreciate all
comments received on the FTE intern
and resident cap adjustment. We will
take all comments into consideration as
we assess the IPF PPS regulations with
respect to developing the policy for the
teaching cap adjustment in the future.
4. Cost of Living Adjustment for IPFs
Located in Alaska and Hawaii
The IPF PPS includes a payment
adjustment for IPFs located in Alaska
and Hawaii based upon the county in
which the IPF is located. As we
explained in the November 2004 IPF
PPS final rule, the FY 2002 data
demonstrated that IPFs in Alaska and
Hawaii had per diem costs that were
disproportionately higher than other
IPFs. Other Medicare PPSs (for example,
the IPPS and LTCH PPS) have adopted
a cost of living adjustment (COLA) to
account for the cost differential of care
furnished in Alaska and Hawaii.
We analyzed the effect of applying a
COLA to payments for IPFs located in
Alaska and Hawaii. The results of our
analysis demonstrated that a COLA for
IPFs located in Alaska and Hawaii
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would improve payment equity for
these facilities. As a result of this
analysis, we provided a COLA in the
November 2004 IPF PPS final rule.
A COLA adjustment for IPFs located
in Alaska and Hawaii is made by
multiplying the non-labor share of the
Federal per diem base rate by the
applicable COLA factor based on the
COLA area in which the IPF is located.
As previously stated in the November
2004 IPF PPS final rule, we will update
the COLA factors according to updates
established by the U.S. Office of
Personnel Management (OPM), which
issued a final rule, May 28, 2008 to
change COLA rates.
The COLA factors are published on
the OPM Web site at (https://
www.opm.gov/oca/cola/rates.asp).
We note that the COLA areas for
Alaska are not defined by county as are
the COLA areas for Hawaii. In 5 CFR
591.207, the OPM established the
following COLA areas:
(a) City of Anchorage, and 80kilometer (50-mile) radius by road, as
measured from the Federal courthouse;
(b) City of Fairbanks, and 80kilometer (50-mile) radius by road, as
measured from the Federal courthouse;
(c) City of Juneau, and 80-kilometer
(50-mile) radius by road, as measured
from the Federal courthouse;
(d) Rest of the State of Alaska.
For RY 2011, IPFs located in Alaska
and Hawaii will continue to receive the
updated COLA factors based on the
COLA area in which the IPF is located
as shown in Table 12 below.
TABLE 12—COLA FACTORS FOR
ALASKA AND HAWAII IPFS
Location
COLA
Alaska:
Anchorage .....................................
Fairbanks ......................................
Juneau ..........................................
Rest of Alaska ...............................
Hawaii:
Honolulu County ...........................
Hawaii County ...............................
Kauai County ................................
Maui County ..................................
Kalawao County ............................
1.23
1.23
1.23
1.25
1.25
1.18
1.25
1.25
1.25
5. Adjustment for IPFs With a
Qualifying Emergency Department (ED)
Currently, the IPF PPS includes a
facility-level adjustment for IPFs with
qualifying EDs. We provide an
adjustment to the Federal per diem base
rate to account for the costs associated
with maintaining a full-service ED. The
adjustment is intended to account for
ED costs incurred by a freestanding
psychiatric hospital with a qualifying
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ED or a distinct part psychiatric unit of
an acute hospital or a CAH for
preadmission services otherwise
payable under the Medicare Outpatient
Prospective Payment System (OPPS)
furnished to a beneficiary during the
day immediately preceding the date of
admission to the IPF (see § 413.40(c)(2))
and the overhead cost of maintaining
the ED. This payment is a facility-level
adjustment that applies to all IPF
admissions (with one exception
described below), regardless of whether
a particular patient receives
preadmission services in the hospital’s
ED.
The ED adjustment is incorporated
into the variable per diem adjustment
for the first day of each stay for IPFs
with a qualifying ED. That is, IPFs with
a qualifying ED receive an adjustment
factor of 1.31 as the variable per diem
adjustment for day 1 of each stay. If an
IPF does not have a qualifying ED, it
receives an adjustment factor of 1.19 as
the variable per diem adjustment for day
1 of each patient stay.
The ED adjustment is made on every
qualifying claim except as described
below. As specified in
§ 412.424(d)(1)(v)(B), the ED adjustment
is not made where a patient is
discharged from an acute care hospital
or critical access hospital (CAH) and
admitted to the same hospital’s or
CAH’s psychiatric unit. An ED
adjustment is not made in this case
because the costs associated with ED
services are reflected in the DRG
payment to the acute care hospital or
through the reasonable cost payment
made to the CAH. If we provided the ED
adjustment in these cases, the hospital
would be paid twice for the overhead
costs of the ED, as stated in the
November 2004 IPF PPS final rule (69
FR 66960).
Therefore, when patients are
discharged from an acute care hospital
or CAH and admitted to the same
hospital’s or CAH’s psychiatric unit, the
IPF receives the 1.19 adjustment factor
as the variable per diem adjustment for
the first day of the patient’s stay in the
IPF.
For RY 2011, we are retaining the 1.31
adjustment factor for IPFs with
qualifying EDs. A complete discussion
of the steps involved in the calculation
of the ED adjustment factor appears in
the November 2004 IPF PPS final rule
(69 FR 66959 through 66960) and the
May 2006 IPF PPS final rule (71 FR
27070 through 27072).
D. Other Payment Adjustments and
Policies
For RY 2011, the IPF PPS includes:
An outlier adjustment to promote access
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to IPF care for those patients who
require expensive care and to limit the
financial risk of IPFs treating unusually
costly patients. In this section, we also
explain the reason for ending the stoploss provision that was applicable
during the transition period.
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1. Outlier Payments
In the November 2004 IPF PPS final
rule, we implemented regulations at
§ 412.424(d)(3)(i) to provide a per-case
payment for IPF stays that are
extraordinarily costly. Providing
additional payments to IPFs for
extremely costly cases strongly
improves the accuracy of the IPF PPS in
determining resource costs at the patient
and facility level. These additional
payments reduce the financial losses
that would otherwise be incurred in
treating patients who require more
costly care and, therefore, reduce the
incentives for IPFs to under-serve these
patients.
We make outlier payments for
discharges in which an IPF’s estimated
total cost for a case exceeds a fixed
dollar loss threshold amount
(multiplied by the IPF’s facility-level
adjustments) plus the Federal per diem
payment amount for the case.
In instances when the case qualifies
for an outlier payment, we pay 80
percent of the difference between the
estimated cost for the case and the
adjusted threshold amount for days 1
through 9 of the stay (consistent with
the median LOS for IPFs in FY 2002),
and 60 percent of the difference for day
10 and thereafter. We established the 80
percent and 60 percent loss sharing
ratios because we were concerned that
a single ratio established at 80 percent
(like other Medicare PPSs) might
provide an incentive under the IPF per
diem payment system to increase LOS
in order to receive additional payments.
After establishing the loss sharing ratios,
we determined the current fixed dollar
loss threshold amount of $6,565 through
payment simulations designed to
compute a dollar loss beyond which
payments are estimated to meet the 2
percent outlier spending target.
a. Update to the Outlier Fixed Dollar
Loss Threshold Amount
In accordance with the update
methodology described in § 412.428(d),
we are updating the fixed dollar loss
threshold amount used under the IPF
PPS outlier policy. Based on the
regression analysis and payment
simulations used to develop the IPF
PPS, we established a 2 percent outlier
policy which strikes an appropriate
balance between protecting IPFs from
extraordinarily costly cases while
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ensuring the adequacy of the Federal
per diem base rate for all other cases
that are not outlier cases.
We believe it is necessary to update
the fixed dollar loss threshold amount
because analysis of the latest available
data (that is, FY 2008 IPF claims) and
rate increases indicates adjusting the
fixed dollar loss amount is necessary in
order to maintain an outlier percentage
that equals 2 percent of total estimated
IPF PPS payments.
In the May 2006 IPF PPS final rule (71
FR 27072), we describe the process by
which we calculate the outlier fixed
dollar loss threshold amount. We
continue to use this process for RY
2011. We begin by simulating aggregate
payments with and without an outlier
policy, and applying an iterative process
to determine an outlier fixed dollar loss
threshold amount that will result in
outlier payments being equal to 2
percent of total estimated payments
under the simulation. Based on this
process, we are updating the outlier
fixed dollar loss threshold amount to
$6,372 to maintain estimated outlier
payments at 2 percent of total estimated
IPF payments for RY 2011.
b. Statistical Accuracy of Cost-to-Charge
Ratios
As previously stated, under the IPF
PPS, an outlier payment is made if an
IPF’s cost for a stay exceeds a fixed
dollar loss threshold amount. In order to
establish an IPF’s cost for a particular
case, we multiply the IPF’s reported
charges on the discharge bill by its
overall cost-to-charge ratio (CCR). This
approach to determining an IPF’s cost is
consistent with the approach used
under the IPPS and other PPSs. In FY
2004, we implemented changes to the
IPPS outlier policy used to determine
CCRs for acute care hospitals because
we became aware that payment
vulnerabilities resulted in inappropriate
outlier payments. Under the IPPS, we
established a statistical measure of
accuracy for CCRs in order to ensure
that aberrant CCR data did not result in
inappropriate outlier payments.
As we indicated in the November
2004 IPF PPS final rule, because we
believe that the IPF outlier policy is
susceptible to the same payment
vulnerabilities as the IPPS, we adopted
an approach to ensure the statistical
accuracy of CCRs under the IPF PPS (69
FR 66961). Therefore, we adopted the
following procedure in the November
2004 IPF PPS final rule:
• We calculated two national ceilings,
one for IPFs located in rural areas and
one for IPFs located in urban areas. We
computed the ceilings by first
calculating the national average and the
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standard deviation of the CCR for both
urban and rural IPFs.
To determine the rural and urban
ceilings, we multiplied each of the
standard deviations by 3 and added the
result to the appropriate national CCR
average (either rural or urban). The
upper threshold CCR for IPFs in RY
2011 is 1.7383 for rural IPFs, and 1.7377
for urban IPFs, based on CBSA-based
geographic designations. If an IPF’s CCR
is above the applicable ceiling, the ratio
is considered statistically inaccurate
and we assign the appropriate national
(either rural or urban) median CCR to
the IPF.
We are applying the national CCRs to
the following situations:
++ New IPFs that have not yet
submitted their first Medicare cost
report.
++ IPFs whose overall CCR is in
excess of 3 standard deviations above
the corresponding national geometric
mean (that is, above the ceiling).
++ Other IPFs for which the Medicare
contractor obtains inaccurate or
incomplete data with which to calculate
a CCR.
For new IPFs, we are using these
national CCRs until the facility’s actual
CCR can be computed using the first
tentatively or final settled cost report.
We are not making any changes to the
procedures for ensuring the statistical
accuracy of CCRs in RY 2011. However,
we are updating the national urban and
rural CCRs (ceilings and medians) for
IPFs for RY 2011 based on the CCRs
entered in the latest available IPF PPS
Provider Specific File.
The national CCRs for RY 2011 are
0.6480 for rural IPFs and 0.5170 for
urban IPFs and will be used in each of
the three situations listed above. These
calculations are based on the IPF’s
location (either urban or rural) using the
CBSA-based geographic designations.
A complete discussion regarding the
national median CCRs appears in the
November 2004 IPF PPS final rule (69
FR 66961 through 66964).
2. Expiration of the Stop-Loss Provision
In the November 2004 IPF PPS final
rule, we implemented a stop-loss policy
that reduced financial risk to IPFs
projected to experience substantial
reductions in Medicare payments
during the period of transition to the IPF
PPS. This stop-loss policy guaranteed
that each facility received total IPF PPS
payments that were no less than 70
percent of its TEFRA payments had the
IPF PPS not been implemented. This
policy was applied to the IPF PPS
portion of Medicare payments during
the 3-year transition.
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In the implementation year, the 70
percent of TEFRA payment stop-loss
policy required a reduction in the
standardized Federal per diem and ECT
base rates of 0.39 percent in order to
make the stop-loss payments budget
neutral. As described in the May 2008
IPF PPS notice for RY 2009, we
increased the Federal per diem base rate
and ECT rate by 0.39 percent because
these rates were reduced by 0.39 percent
in the implementation year to ensure
stop-loss payments were budget neutral.
The stop-loss provision ended during
RY 2009 (that is for discharges occurring
on or after July 1, 2008 through June 30,
2009). The stop-loss policy is no longer
applicable under the IPF PPS.
V. Comments Beyond the Scope of the
May 2009 IPF PPS Notice With Request
for Comments
In the May 2009 IPF PPS notice,
which specifically solicited comments
on the IPF PPS teaching adjustment and
the market basket, we received several
public comments which were outside
the scope of that notice. Below, we are
providing a summary of the comments
and our response.
Comment: Two commenters
recommended that CMS continue its
study of the wage index in favor of
future changes that create a more
equitable system and adequately
reimburse hospitals for providing
quality care to beneficiaries. The
commenters recommend that the Bureau
of Labor Statistics (BLS) data approach
be used to construct a hospital
compensation index. They support the
elimination of the separate
Occupational Mix Survey documents
and the large additional reporting
burden it creates for hospitals.
One commenter expressed concern
that a large increase in the fixed dollar
threshold amount will significantly
reduce the number of inpatient cases
eligible for outlier payments and
consequently, further reduce the ability
of psychiatric facilities to provide
necessary psychiatric care to Medicare
beneficiaries. The commenter
recommends that CMS continue
examining its data to determine more
specifically the causes for the increase
and if further analysis suggests that the
threshold increase is still valid, CMS
should publish these reasons as part of
the final rule.
One commenter recommended that
CMS revisit the Variable Per Diem
Adjustments that have been established
in the November 2004 IPF PPS final rule
(69 FR 66946) and to validate these
adjustments based on current claim
information. The commenter believes
the current system does not reflect all
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factors affecting cost. The example cited
was that inpatient prospective payment
system facilities receive a special
payment treatment for servicing a
disproportionate share of low-income
patients, which is intended to reimburse
a facility for additional cost incurred for
handling such patients. The commenter
stated that the current IPF PPS payment
system does not consider this type of
patient in its payment mechanism.
Response: We are not addressing
these comments in this notice because
they are beyond the scope of the May
2009 notice. However, we will consider
the comments and decide whether to
take actions based on the information or
recommendations of the commenters in
future rulemaking.
VI. Waiver of Proposed Rulemaking
We ordinarily publish a notice of
proposed rulemaking in the Federal
Register to provide a period for public
comment before the provisions of a rule
take effect. We can waive this
procedure, however, if we find good
cause that notice and comment
procedures are impracticable,
unnecessary, or contrary to the public
interest and we incorporate a statement
of finding and its reasons in the notice.
We find it is unnecessary to undertake
notice and comment rulemaking for the
update in this notice because the update
does not make any substantive changes
in policy, but merely reflects the
application of previously established
methodologies. In addition, new section
1886(s)(3)(A) of the Act requires the
application of an ‘‘Other Adjustment’’ to
the update to the IPF PPS base rate in
RY 2011. We applied the statutorilyrequired adjustment in this notice. We
find that notice and comment
rulemaking is unnecessary to implement
that statutory provision because it is a
self-implementing provision of law, not
requiring the exercise of any discretion
on the part of CMS. Therefore, under 5
U.S.C. 553(b)(3)(B), for good cause, we
waive notice and comment procedures.
VII. Collection of Information
Requirements
This document does not impose any
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 (44
U.S.C. 35).
VIII. Regulatory Impact Analysis
A. Overall Impact
We have examined the impacts of this
notice as required by Executive Order
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12866 (September 1993, Regulatory
Planning and Review), the September
19, 1980 Regulatory Flexibility Act
(RFA) (Pub. L. 96–354), section 1102(b)
of the Act, the Unfunded Mandates
Reform Act of 1995 (Pub. L. 104–4),
Executive Order 13132 on Federalism,
and the Congressional Review Act (5
U.S.C. 804(2)).
Executive Order 12866 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). Although this notice does
not meet the $100 million threshold
established by Executive Order 12866,
we are considering this notice to be
‘‘economically significant’’ because the
redistributive effects are estimated to be
close to constituting a shift of $100
million. For purposes of Title 5, United
States Code, section 804(2), we estimate
that this rulemaking is ‘‘economically
significant’’, and is also a major rule
under the Congressional Review Act.
Accordingly, we have prepared a
Regulatory Impact Analysis that to the
best of our ability presents the costs and
benefits of the rulemaking on the 1,679
IPFs.
The updates to the IPF labor-related
share and wage indices are made in a
budget neutral manner and thus have no
effect on estimated costs to the Medicare
program. Therefore, the estimated
increased cost to the Medicare program
is due to the update to the IPF payment
rates, which results in an approximate
$91 million increase in payments (due
to the 2.4% market basket increase with
the 0.25% ‘‘Other Adjustment’’
reduction, as required by new section
1886(a)(3)(A) of the Act, and the update
to the outlier fixed dollar loss threshold
amount, which results in about a $4
million increase in payments). The
distribution of these impacts is
summarized in Table 13. The net effect
of the updates described in this notice
results in an overall estimated $95
million increase in payments from RY
2010 to RY 2011.
The RFA requires agencies to analyze
options for regulatory relief of small
businesses, if a rule has a significant
impact on a substantial number of small
entities. For purposes of the RFA, we
estimate that the great majority of IPFs
are small entities as that term is used in
the RFA (include small businesses,
nonprofit organizations, and small
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governmental jurisdictions). The
majority of hospitals and most other
health care providers and suppliers are
small entities, either by being nonprofit
organizations or by meeting the SBA
definition of a small business (having
revenues of $7 million to $34.5 million
in any 1 year). (For details, see the
Small Business Administration’s
Interim final rule that set forth size
standards at 70 FR 72577, December 6,
2005.) Because we lack data on
individual hospital receipts, we cannot
determine the number of small
proprietary IPFs or the proportion of
IPFs’ revenue that is derived from
Medicare payments. Therefore, we
assume that all IPFs are considered
small entities. The Department of Health
and Human Services (HHS) generally
uses a revenue impact of 3 to 5 percent
as a significance threshold under the
RFA. As shown in Table 13, we estimate
that the net revenue impact of this
notice on all IPFs is to increase
estimated payments by about 2.26
percent. Since the estimated impact of
this notice is a net increase in revenue
across all categories of IPFs, we believe
that this notice would not impose a
significant burden on small entities.
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.
Although section 1102(b) of the Act
applies to regulations for which a
proposed rule is published, the HHS
policy is to prepare an analysis of the
impact on small rural hospitals for any
regulation published. As a result, we are
voluntarily determining whether this
notice will have a significant impact on
the operations of a substantial number
of small rural hospitals. For purposes of
section 1102(b) of the Act, we define a
small rural hospital as a hospital with
fewer than 100 beds that is located
outside of an MSA. As discussed in
detail below, the rates and policies set
forth in this notice will not have an
adverse impact on the rural hospitals
based on the data of the 312 rural units
and 64 rural hospitals in our database of
1,679 IPFs for which data were
available.
Section 202 of the Unfunded
Mandates Reform Act of 1995 (UMRA)
also requires that agencies assess
anticipated costs and benefits before
issuing any rule whose mandates
require spending in any 1 year of $100
million in 1995 dollars, updated
annually for inflation. In 2010, that
threshold is approximately $135
million. This notice will not impose
spending costs on State, local, or Tribal
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governments in the aggregate, or by the
private sector, of $135 million.
Executive Order 13132 establishes
certain requirements that an agency
must meet when it promulgates a
proposed rule (and subsequent final
rule) that imposes substantial direct
requirement costs on State and local
governments, preempts State law, or
otherwise has Federalism implications.
We have reviewed this notice under the
criteria set forth in Executive Order
13132 and have determined that the
notice will not have any substantial
direct impact on State or local
governments, preempt State law, or
otherwise have a Federalism
implication.
B. Anticipated Effects
We discuss below the historical
background of the IPF PPS and the
impact of this notice on the Federal
Medicare budget and on IPFs.
1. Budgetary Impact
As discussed in the November 2004
and May 2006 IPF PPS final rules, we
applied a budget neutrality factor to the
Federal per diem and ECT base rates to
ensure that total estimated payments
under the IPF PPS in the
implementation period would equal the
amount that would have been paid if the
IPF PPS had not been implemented. The
budget neutrality factor includes the
following components: Outlier
adjustment, stop-loss adjustment, and
the behavioral offset. As discussed in
the May 2008 IPF PPS notice (73 FR
25711), the stop-loss adjustment is no
longer applicable under the IPF PPS.
In accordance with § 412.424(c)(3)(ii),
we indicated that we would evaluate the
accuracy of the budget neutrality
adjustment within the first 5 years after
implementation of the payment system.
We may make a one-time prospective
adjustment to the Federal per diem and
ECT base rates to account for differences
between the historical data on costbased TEFRA payments (the basis of the
budget neutrality adjustment) and
estimates of TEFRA payments based on
actual data from the first year of the IPF
PPS. As part of that process, we will
reassess the accuracy of all of the factors
impacting budget neutrality.
In addition, as discussed in section
III.B.2 of this notice, we are using the
wage index and labor market share in a
budget neutral manner by applying a
wage index budget neutrality factor to
the Federal per diem and ECT base
rates. Therefore, the budgetary impact to
the Medicare program by this update to
the IPF PPS will be due to the market
basket update (see section III.B.2.a of
this notice) with the ‘‘Other
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Adjustment,’’ as required by new section
1886(s)(3)(A) of the Act, and the update
to the outlier fixed dollar loss threshold
amount.
2. Impacts on Providers
To understand the impact of the
changes to the IPF PPS on providers,
discussed in this notice, it is necessary
to compare estimated payments under
the IPF PPS rates and factors for RY
2011 versus those under RY 2010. The
estimated payments for RY 2010 and RY
2011 will be 100 percent of the IPF PPS
payment, since the transition period has
ended and stop-loss payments are no
longer paid. We determined the percent
change of estimated RY 2011 IPF PPS
payments to estimated RY 2010 IPF PPS
payments for each category of IPFs. In
addition, for each category of IPFs, we
have included the estimated percent
change in payments resulting from the
update to the outlier fixed dollar loss
threshold amount, the wage index
changes for the RY 2011 IPF PPS, and
the market basket update, as adjusted by
the ‘‘Other Adjustment’’.
To illustrate the impacts of the final
RY 2011 changes in this notice, our
analysis begins with an RY 2010
baseline simulation model based on FY
2008 IPF payments inflated to the
midpoint of RY 2010 using IHS Global
Insight’s most recent forecast of the
market basket update (see section III.2.b
of this notice); the estimated outlier
payments in RY 2010; the CBSA
designations for IPFs based on OMB’s
MSA definitions after June 2003; the FY
2009 pre-floor, pre-reclassified hospital
wage index; the RY 2010 labor-market
share; and the RY 2010 percentage
amount of the rural adjustment. During
the simulation, the total estimated
outlier payments are maintained at 2
percent of total estimated IPF PPS
payments.
Each of the following changes is
added incrementally to this baseline
model in order for us to isolate the
effects of each change:
• The update to the outlier fixed
dollar loss threshold amount.
• The FY 2010 pre-floor, prereclassified hospital wage index and RY
2011 final labor-related share.
• Our final comparison illustrates the
percent change in payments from RY
2010 (that is, July 1, 2009 to June 30,
2010) to RY 2011 (that is, July 1, 2010
to June 30, 2011) and includes a 2.4
percent market basket update to the IPF
PPS base rates with a ¥0.25% ‘‘Other
Adjustment’’ to the IPF PPS base rates,
as required by new section 1886(s)(3)(A)
of the Act.
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TABLE 13—PROJECTED IMPACTS
Projected impacts (% Change)
Number of
facilities
Outlier
CBSA wage
index &
labor share
Total with
market basket
& other
adjustment 1
(1)
wwoods2 on DSKDVH8Z91PROD with NOTICES2
Facility by type
(2)
(3)
(4)
(5)
All Facilities ......................................................................................................
Total Urban ......................................................................................................
Total Rural .......................................................................................................
Urban DPU ......................................................................................................
Urban CAH unit ...............................................................................................
Urban hospital ..................................................................................................
Rural DPU ........................................................................................................
Rural CAH unit .................................................................................................
Rural hospital ...................................................................................................
Freestanding IPF By Type of Ownership:
Urban Psychiatric Hospitals:
Government .......................................................................................
Non-Profit ..........................................................................................
For-Profit ............................................................................................
Rural Psychiatric Hospitals:
Government .......................................................................................
Non-Profit ..........................................................................................
For-Profit ............................................................................................
IPF Units By Type of Ownership:
Urban DPU:
Government .......................................................................................
Non-Profit ..........................................................................................
For-Profit ............................................................................................
Urban CAH:
Government .......................................................................................
Non-Profit ..........................................................................................
For-Profit ............................................................................................
Rural DPU:
Government .......................................................................................
Non-Profit ..........................................................................................
For-Profit ............................................................................................
Rural CAH:
Government .......................................................................................
Non-Profit ..........................................................................................
For-Profit ............................................................................................
By Teaching Status:
Non-teaching ............................................................................................
Less than 10% interns and residents to beds ..........................................
10% to 30% interns and residents to beds ..............................................
More than 30% interns and residents to beds .........................................
By Region:
New England ............................................................................................
Mid-Atlantic ...............................................................................................
South Atlantic ...........................................................................................
East North Central ....................................................................................
East South Central ...................................................................................
West North Central ...................................................................................
West South Central ..................................................................................
Mountain ...................................................................................................
Pacific .......................................................................................................
By Bed Size:
Psychiatric Hospitals:
Under 12 beds ...................................................................................
Beds: 12–24 ......................................................................................
Beds: 25–49 ......................................................................................
Beds: 50–75 ......................................................................................
Over 75 beds .....................................................................................
Psychiatric Units:
Under 12 beds ...................................................................................
Beds: 12–24 ......................................................................................
Beds: 25–49 ......................................................................................
Beds: 50–75 ......................................................................................
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1,679
1,303
376
899
14
390
259
53
64
0.11
0.11
0.09
0.15
0.35
0.03
0.11
0.06
0.03
0.00
0.02
¥0.10
¥0.01
¥0.30
0.07
¥0.13
0.17
¥0.13
2.26
2.28
2.14
2.29
2.20
2.26
2.13
2.39
2.05
170
115
105
0.03
0.03
0.03
0.03
0.16
0.02
2.22
2.35
2.20
41
10
13
0.03
0.04
0.01
¥0.51
0.20
0.88
1.66
2.40
3.06
156
616
127
0.23
0.14
0.10
0.30
¥0.13
0.12
2.69
2.17
2.37
5
8
1
0.53
0.28
0.03
¥1.61
0.13
3.18
1.03
2.56
5.43
61
150
48
0.12
0.11
0.11
0.08
¥0.26
¥0.03
2.35
2.00
2.24
21
28
4
0.05
0.07
0.07
0.43
¥0.01
0.09
2.64
2.21
2.32
1,442
131
73
33
0.10
0.11
0.19
0.27
¥0.03
0.15
0.07
¥0.11
2.22
2.42
2.41
2.31
118
285
234
284
167
149
228
85
129
0.15
0.09
0.09
0.14
0.08
0.11
0.09
0.11
0.15
0.52
¥0.04
¥0.03
¥0.40
0.01
0.07
¥0.08
0.67
0.02
2.83
2.20
2.21
1.88
2.24
2.33
2.16
2.95
2.32
3
64
69
74
244
0.01
0.08
0.08
0.04
0.02
¥0.31
0.60
0.09
0.58
¥0.13
1.84
2.85
2.32
2.78
2.03
191
529
335
106
0.18
0.16
0.14
0.13
¥0.09
¥0.16
0.00
¥0.15
2.24
2.14
2.30
2.13
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TABLE 13—PROJECTED IMPACTS—Continued
Projected impacts (% Change)
Facility by type
Number of
facilities
Outlier
CBSA wage
index &
labor share
Total with
market basket
& other
adjustment 1
(1)
(2)
(3)
(4)
(5)
Over 75 beds .....................................................................................
64
0.13
0.36
2.65
1 This
wwoods2 on DSKDVH8Z91PROD with NOTICES2
column shows changes in payments from RY 2010 to RY 2011. It reflects the impact of the RY 2011 market basket update with the
‘‘Other Adjustment’’ for the rate year beginning in 2010, as required by new section 1886(s)(3)(A) of the Act. The RY 2011 market basket update
is 2.4% and the ‘‘Other Adjustment’’ for the rate year beginning in 2010 is ¥0.25%. It incorporates all of the changes displayed in Columns 3
and 4. The product of these impacts may be different from the percentage changes shown here due to rounding effects.
3. Results
Table 13 above displays the results of
our analysis. The table groups IPFs into
the categories listed below based on
characteristics provided in the Provider
of Services (POS) file, the IPF provider
specific file, and cost report data from
HCRIS:
• Facility Type.
• Location.
• Teaching Status Adjustment.
• Census Region.
• Size.
The top row of the table shows the
overall impact on the 1,679 IPFs
included in the analysis.
In column 3, we present the effects of
the update to the outlier fixed dollar
loss threshold amount. We estimate
total outlier payments in RY 2010 to be
approximately 1.9 percent of total
estimated payments. Therefore, we are
updating the threshold from $6,565 in
RY 2010 to $6,372 in RY 2011 in order
to maintain total estimated outlier
payments equal to 2 percent of total
estimated payments for RY 2011. The
overall aggregate effect of this change (as
shown in column 3 of table 13), across
all hospital groups, is to increase total
estimated payments to IPFs by about
0.11 percent. All categories of IPFs are
projected to receive either an increase or
no change in payments. There are
distributional effects of this change
among different categories of IPFs.
Urban and rural, freestanding
psychiatric hospitals; urban, for-profit
IPF units located in CAHs; and
psychiatric hospitals with under 12
beds and 50 or more will experience
approximately a zero percent change in
their payments. Alternatively, urban,
government IPF units located in CAHs
will receive the largest increase of 0.53
percent.
In column 4, we present the effects of
the budget-neutral update to the laborrelated share and the wage index
adjustment under the CBSA geographic
area definitions announced by OMB in
June 2003. This is a comparison of the
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simulated RY 2011 payments under the
FY 2010 hospital wage index under
CBSA classification and associated
labor-related share to the simulated RY
2010 payments under the FY 2009
hospital wage index under CBSA
classifications and associated laborrelated share. We note that there is no
projected change in aggregate payments
to IPFs, as indicated in the first row of
column 4. However, there would be
distributional effects among different
categories of IPFs. For example, urban,
government IPF units located in CAHs
will experience a 1.61 percent decrease
in payments. An urban, for-profit IPF
CAH unit will receive the largest
increase of 3.18 percent.
Column 5 compares our estimates of
the changes reflected in this notice for
RY 2011, to our estimates of payments
for RY 2010 (without these changes).
This column reflects all RY 2011
changes relative to RY 2010 (as shown
in columns 3 and 4 and including the
market basket update with the ¥.25%
‘‘Other Adjustment’’). The average
increase for all IPFs is approximately
2.26 percent. This increase includes the
effects of the market basket update
(2.4%) with the ‘‘Other Adjustment’’
(¥0.25%) resulting in a 2.15 percent
increase in total RY 2011 payments, and
an approximate 0.11 percent increase in
RY 2011 payments due to the update to
the outlier fixed dollar loss threshold.
Overall, the largest payment increases
ranging from 3.06 percent to 5.43
percent are projected to be among rural,
for-profit freestanding IPFs and urban,
for-profit IPF units located in CAHs.
Urban, government IPF units located in
CAHs will receive the smallest increase
of 1.03 percent.
4. Effect on the Medicare Program
Based on actuarial projections
resulting from our experience with other
PPSs, we estimate that Medicare
spending (total Medicare program
payments) for IPF services over the next
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5 years would be as shown in Table 14
below.
TABLE 14—ESTIMATED PAYMENTS
Dollars in
millions
Rate year
July
July
July
July
July
1,
1,
1,
1,
1,
2010
2011
2012
2013
2014
to
to
to
to
to
June
June
June
June
June
30,
30,
30,
30,
30,
2011
2012
2013
2014
2015
.....
.....
.....
.....
.....
$4,438
4,685
4,930
5,178
5,450
These estimates are based on the
current forecast of the increases in the
RPL market basket, including an
adjustment for productivity, for which
we are using a preliminary estimate, for
the rate year beginning in 2012 and each
subsequent rate year, as required by new
section 1886(s)(3)(A) of the Act, as
follows:
• 2.4 percent for rate years beginning
in 2010 (RY 2011).
• 2.9 percent for rate years beginning
in 2011 (RY 2012).
• 1.7 percent for rate years beginning
in 2012 (RY 2013).
• 1.9 percent for rate years beginning
in 2013 (RY 2014).
• 2.1 percent for rate years beginning
in 2014 (RY 2015).
The estimates in Table 14 also include
the application of the ‘‘Other
Adjustment,’’ as required by section
1886(s)(A)(3) of the Act, as follows:
• ¥0.25 percent for rate years
beginning in 2010.
• ¥0.25 percent for rate years
beginning in 2011.
• ¥0.1 percent for rate years
beginning in 2012.
• ¥0.1 percent for rate years
beginning in 2013.
• ¥0.3 percent for rate years
beginning in 2014.
We estimate that there would be a
change in fee-for-service Medicare
beneficiary enrollment as follows:
• 2.5 percent in RY 2011.
• 3.2 percent in RY 2012.
• 3.1 percent in RY 2013.
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• 3.1 percent in RY 2014.
• 2.8 percent in RY 2015.
5. Effect on Beneficiaries
Under the IPF PPS, IPFs will receive
payment based on the average resources
consumed by patients for each day. We
do not expect changes in the quality of
care or access to services for Medicare
beneficiaries under the RY 2011 IPF
PPS. In fact, we believe that access to
IPF services will be enhanced due to the
patient- and facility-level adjustment
factors, all of which are intended to
adequately reimburse IPFs for expensive
cases. Finally, the outlier policy is
intended to assist IPFs that experience
high-cost cases.
C. Alternatives Considered
The statute does not specify an update
strategy for the IPF PPS and is broadly
written to give the Secretary discretion
in establishing an update methodology.
Therefore, we are updating the IPF PPS
using the methodology published in the
November 2004 IPF PPS final rule.
We note that this notice does not
initiate any policy changes with regard
to the IPF PPS; rather, it simply
provides an update to the rates for RY
2011. Therefore, no options were
considered.
D. Accounting Statement
As required by OMB Circular A–4
(available at https://
www.whitehouse.gov/omb/circulars/
a004/a-4.pdf), in Table 15 below, we
have prepared an accounting statement
showing the classification of the
expenditures associated with the
provisions of this notice. This table
provides our best estimate of the
increase in Medicare payments under
the IPF PPS notice, as a result of the
changes presented in this notice, and
based on the data for 1,679 IPFs in our
database. All expenditures are classified
as transfers to Medicare providers (that
is, IPFs).
TABLE 15—ACCOUNTING STATEMENT:
CLASSIFICATION OF ESTIMATED EXPENDITURES, FROM THE 2010 IPF
PPS RY TO THE 2011 IPF PPS
RY—Continued
COST OF LIVING ADJUSTMENTS
(COLAS)—Continued
Rest of Alaska ................................
Hawaii
Category
Transfers
From Whom To
Whom?
Federal Government
To IPF Medicare
Providers.
Honolulu County .............................
Hawaii County ................................
Kauai County ..................................
Maui County ...................................
Kalawao County .............................
In accordance with the provisions of
Executive Order 12866, this notice was
reviewed by OMB.
(Catalog of Federal Domestic Assistance
Program No. 93.773, Medicare—Hospital
Insurance; and Program No. 93.774,
Medicare—Supplementary Medical
Insurance Program)
ECT—Per Treatment ......................
Addendum A—Rate and Adjustment
Factors
PER DIEM RATE
$665.71
501.95
163.76
Fixed Dollar Loss Threshold Amount:
$6,372.
Wage Index Budget Neutrality Factor:
0.9999.
FACILITY ADJUSTMENTS
Rural Adjustment Factor.
Teaching Adjustment
Factor.
Wage Index ...............
TABLE 15—ACCOUNTING STATEMENT:
CLASSIFICATION OF ESTIMATED EXPENDITURES, FROM THE 2010 IPF
PPS RY TO THE 2011 IPF PPS RY
1.17.
0.5150.
Adjustment
factor
Day 1—Facility Without a
Qualifying Emergency Department ................................
Day 1—Facility With a Qualifying Emergency Department
Day 2 ........................................
Day 3 ........................................
Day 4 ........................................
Day 5 ........................................
Day 6 ........................................
Day 7 ........................................
Day 8 ........................................
Day 9 ........................................
Day 10 ......................................
Day 11 ......................................
Day 12 ......................................
Day 13 ......................................
Day 14 ......................................
Day 15 ......................................
Day 16 ......................................
Day 17 ......................................
Day 18 ......................................
Day 19 ......................................
Day 20 ......................................
Day 21 ......................................
After Day 21 .............................
Pre-reclass Hospital
Wage Index (FY
2010).
COST OF LIVING ADJUSTMENTS
(COLAS)
[In millions]
Alaska
wwoods2 on DSKDVH8Z91PROD with NOTICES2
Transfers
Annualized Monetized
Transfers.
$95.
Anchorage ......................................
Fairbanks ........................................
Juneau ............................................
$286.60
VARIABLE PER DIEM ADJUSTMENTS
Dated: March 4, 2010.
Charlene Frizzera,
Acting Administrator, Centers for Medicare
& Medicaid Services.
Approved: April 20, 2010.
Kathleen Sebelius,
Secretary.
Federal Per Diem Base Rate .........
Labor Share (0.75400) ...................
Non-Labor Share (0.24600) ...........
1.25
1.18
1.25
1.25
1.25
PATIENT ADJUSTMENTS
1.23
1.23
1.23
1.19
1.31
1.12
1.08
1.05
1.04
1.02
1.01
1.01
1.00
1.00
0.99
0.99
0.99
0.99
0.98
0.97
0.97
0.96
0.95
0.95
0.95
0.92
AGE ADJUSTMENTS
Age (in years)
Category
1.25
[In millions]
Under 45 ...................................
45 and under 50 .......................
50 and under 55 .......................
55 and under 60 .......................
60 and under 65 .......................
65 and under 70 .......................
70 and under 75 .......................
75 and under 80 .......................
80 and over ..............................
Adjustment
factor
1.00
1.01
1.02
1.04
1.07
1.10
1.13
1.15
1.17
DRG ADJUSTMENTS
Adjustment
factor
MS–DRG
MS–DRG descriptions
056 ................
Degenerative nervous system disorders w MCC .........................................................................................................
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DRG ADJUSTMENTS—Continued
MS–DRG
057
080
081
876
880
881
882
883
884
885
886
887
894
895
896
897
................
................
................
................
................
................
................
................
................
................
................
................
................
................
................
................
Adjustment
factor
MS–DRG descriptions
Degenerative nervous system disorders w/o MCC.
Nontraumatic stupor & coma w MCC ...........................................................................................................................
Nontraumatic stupor & coma w/o MCC.
O.R. procedure w principal diagnoses of mental illness ..............................................................................................
Acute adjustment reaction & psychosocial dysfunction ...............................................................................................
Depressive neuroses ....................................................................................................................................................
Neuroses except depressive ........................................................................................................................................
Disorders of personality & impulse control ...................................................................................................................
Organic disturbances & mental retardation ..................................................................................................................
Psychoses .....................................................................................................................................................................
Behavioral & developmental disorders .........................................................................................................................
Other mental disorder diagnoses .................................................................................................................................
Alcohol/drug abuse or dependence, left AMA ..............................................................................................................
Alcohol/drug abuse or dependence w rehabilitation therapy .......................................................................................
Alcohol/drug abuse or dependence w/o rehabilitation therapy w MCC .......................................................................
Alcohol/drug abuse or dependence w/o rehabilitation therapy w/o MCC.
1.07
1.22
1.05
0.99
1.02
1.02
1.03
1.00
0.99
0.92
0.97
1.02
0.88
COMORBIDITY ADJUSTMENTS
Adjustment
factor
Comorbidity
Developmental Disabilities .......................................................................................................................................................................
Coagulation Factor Deficit .......................................................................................................................................................................
Tracheostomy ..........................................................................................................................................................................................
Eating and Conduct Disorders ................................................................................................................................................................
Infectious Diseases ..................................................................................................................................................................................
Renal Failure, Acute ................................................................................................................................................................................
Renal Failure, Chronic .............................................................................................................................................................................
Oncology Treatment ................................................................................................................................................................................
Uncontrolled Diabetes Mellitus ................................................................................................................................................................
Severe Protein Malnutrition .....................................................................................................................................................................
Drug/Alcohol Induced Mental Disorders ..................................................................................................................................................
Cardiac Conditions ..................................................................................................................................................................................
Gangrene .................................................................................................................................................................................................
Chronic Obstructive Pulmonary Disease .................................................................................................................................................
Artificial Openings—Digestive & Urinary .................................................................................................................................................
Severe Musculoskeletal & Connective Tissue Diseases ........................................................................................................................
Poisoning .................................................................................................................................................................................................
Addendum B—RY 2011 CBSA Wage
Index Tables
1.04
1.13
1.06
1.12
1.07
1.11
1.11
1.07
1.05
1.13
1.03
1.11
1.10
1.12
1.08
1.09
1.11
wage index values for urban and rural
providers.
In this addendum, we provide Tables
1 and 2 which indicate the CBSA-based
TABLE 1—RY 2011 WAGE INDEX FOR URBAN AREAS BASED ON CBSA LABOR MARKET AREAS
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
Aguadilla Municipio, PR
˜
Anasco Municipio, PR
Isabela Municipio, PR
Lares Municipio, PR
Moca Municipio, PR
´
Rincon Municipio, PR
´
San Sebastian Municipio, PR
Akron, OH ......................................................................................................................................................................
Portage County, OH
Summit County, OH
Albany, GA .....................................................................................................................................................................
wwoods2 on DSKDVH8Z91PROD with NOTICES2
10380 ................
10420 ................
10500 ................
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index
30APN2
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0.3462
0.8850
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23127
TABLE 1—RY 2011 WAGE INDEX FOR URBAN AREAS BASED ON CBSA LABOR MARKET AREAS—Continued
Urban area
(constituent counties)
CBSA code
10580 ................
10740 ................
10780 ................
10900 ................
11020 ................
11100 ................
11180 ................
11260 ................
11300 ................
11340 ................
11460 ................
11500 ................
11540 ................
11700 ................
12020 ................
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12060 ................
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Wage
index
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
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
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0.8863
0.8689
0.9493
1.2013
0.9052
0.9023
1.0293
0.7643
0.9289
0.9057
0.9492
0.9591
23128
Federal Register / Vol. 75, No. 83 / Friday, April 30, 2010 / Notices
TABLE 1—RY 2011 WAGE INDEX FOR URBAN AREAS BASED ON CBSA LABOR MARKET AREAS—Continued
Urban area
(constituent counties)
CBSA code
12100 ................
12220 ................
12260 ................
12420 ................
12540 ................
12580 ................
12620 ................
12700 ................
12940 ................
12980 ................
13020 ................
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13380 ................
13460 ................
13644 ................
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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-Hammonton, 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
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
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0.9409
0.9518
1.1232
1.0214
1.0154
1.2618
0.8180
1.0000
0.9267
0.8383
1.1395
1.1446
1.0298
Federal Register / Vol. 75, No. 83 / Friday, April 30, 2010 / Notices
23129
TABLE 1—RY 2011 WAGE INDEX FOR URBAN AREAS BASED ON CBSA LABOR MARKET AREAS—Continued
CBSA code
Urban area
(constituent counties)
13740 ................
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
Bradenton-Sarasota-Venice, FL .....................................................................................................................................
Manatee County, FL
Sarasota County, FL
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 ................................................................................................................................................................
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
13780 ................
13820 ................
13900 ................
13980 ................
14020 ................
14060 ................
14260 ................
14484 ................
14500 ................
14540 ................
14600 ................
14740 ................
14860 ................
15180 ................
15260 ................
15380 ................
15500 ................
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15764 ................
15804 ................
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30APN2
0.8781
0.8780
0.8554
0.7637
0.8394
0.9043
0.9378
0.9318
1.2186
1.0266
0.8469
0.9735
1.0755
1.2792
0.9020
0.9178
0.9740
0.8749
1.0106
1.1278
1.0374
23130
Federal Register / Vol. 75, No. 83 / Friday, April 30, 2010 / Notices
TABLE 1—RY 2011 WAGE INDEX FOR URBAN AREAS BASED ON CBSA LABOR MARKET AREAS—Continued
CBSA code
Urban area
(constituent counties)
15940 ................
Canton-Massillon, OH ....................................................................................................................................................
Carroll County, OH
Stark County, OH
Cape Coral-Fort Myers, FL ............................................................................................................................................
Lee County, FL
Cape Girardeau-Jackson, MO-IL ...................................................................................................................................
Alexander County, IL
Bollinger County, MO
Cape Girardeau County, MO
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-Summerville, 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 .......................................................................................................................................................................
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
15980 ................
16020 ................
16180 ................
16220 ................
16300 ................
16580 ................
16620 ................
16700 ................
16740 ................
16820 ................
16860 ................
16940 ................
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16974 ................
17020 ................
17140 ................
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30APN2
0.8813
0.9076
0.9047
1.0531
0.9520
0.8984
1.0108
0.8141
0.9279
0.9474
0.9372
0.8831
0.9344
1.0471
1.1198
0.9483
Federal Register / Vol. 75, No. 83 / Friday, April 30, 2010 / Notices
23131
TABLE 1—RY 2011 WAGE INDEX FOR URBAN AREAS BASED ON CBSA LABOR MARKET AREAS—Continued
Urban area
(constituent counties)
CBSA code
17300 ................
17420 ................
17460 ................
17660 ................
17780 ................
17820 ................
17860 ................
17900 ................
17980 ................
18020 ................
18140 ................
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18580 ................
18700 ................
19060 ................
19124 ................
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index
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, MO ................................................................................................................................................................
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
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
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0.9821
0.8618
0.8789
0.8724
0.9536
1.0101
0.8693
1.1002
0.8045
0.9853
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Federal Register / Vol. 75, No. 83 / Friday, April 30, 2010 / Notices
TABLE 1—RY 2011 WAGE INDEX FOR URBAN AREAS BASED ON CBSA LABOR MARKET AREAS—Continued
Urban area
(constituent counties)
CBSA code
19140 ................
19180 ................
19260 ................
19340 ................
19380 ................
19460 ................
19500 ................
19660 ................
19740 ................
19780 ................
19804 ................
20020 ................
20100 ................
20220 ................
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20500 ................
20740 ................
20764 ................
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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-Broomfield, 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-West 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
Douglas County, WI
Durham-Chapel Hill, NC ................................................................................................................................................
Chatham County, NC
Durham County, NC
Orange County, NC
Person County, NC
Eau Claire, WI ................................................................................................................................................................
Chippewa County, WI
Eau Claire County, WI
Edison-New Brunswick, NJ ............................................................................................................................................
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0.8323
0.8284
0.9211
0.7799
0.7995
0.8865
1.0731
0.9649
0.9729
0.7406
0.9931
0.8869
1.0448
0.9618
0.9567
1.1061
Federal Register / Vol. 75, No. 83 / Friday, April 30, 2010 / Notices
23133
TABLE 1—RY 2011 WAGE INDEX FOR URBAN AREAS BASED ON CBSA LABOR MARKET AREAS—Continued
Urban area
(constituent counties)
CBSA code
20940 ................
21060 ................
21140 ................
21300 ................
21340 ................
21500 ................
21660 ................
21780 ................
21820 ................
21940 ................
22020 ................
22140 ................
22180 ................
22220 ................
22380 ................
22420 ................
22500 ................
22520 ................
22540 ................
22660 ................
22744 ................
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23020 ................
23060 ................
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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
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 ..............................................................................................................................................
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
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0.9489
0.8341
0.8541
0.8779
1.1034
0.8522
1.1114
0.3790
0.8172
0.7889
0.9358
0.8775
1.2475
1.1234
0.8114
0.7998
0.9660
1.0175
1.0383
0.7861
0.8758
0.9012
23134
Federal Register / Vol. 75, No. 83 / Friday, April 30, 2010 / Notices
TABLE 1—RY 2011 WAGE INDEX FOR URBAN AREAS BASED ON CBSA LABOR MARKET AREAS—Continued
Urban area
(constituent counties)
CBSA code
23104 ................
23420 ................
23460 ................
23540 ................
23580 ................
23844 ................
24020 ................
24140 ................
24220 ................
24300 ................
24340 ................
24500 ................
24540 ................
24580 ................
24660 ................
24780 ................
24860 ................
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25260 ................
25420 ................
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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-Mauldin-Easley, SC ......................................................................................................................................
Greenville County, SC
Laurens County, SC
Pickens County, SC
Guayama, PR .................................................................................................................................................................
Arroyo Municipio, PR
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
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0.9499
1.1267
0.8266
0.8978
0.9123
0.9288
0.8456
0.9056
0.7775
0.9721
0.9178
0.8354
0.9578
0.9621
0.9062
0.9401
0.9980
0.3537
0.8783
0.8965
1.1010
0.9286
Federal Register / Vol. 75, No. 83 / Friday, April 30, 2010 / Notices
23135
TABLE 1—RY 2011 WAGE INDEX FOR URBAN AREAS BASED ON CBSA LABOR MARKET AREAS—Continued
Urban area
(constituent counties)
CBSA code
25500 ................
25540 ................
25620 ................
25860 ................
25980 ................
26100 ................
26180 ................
26300 ................
26380 ................
26420 ................
26580 ................
26620 ................
26820 ................
wwoods2 on DSKDVH8Z91PROD with NOTICES2
26900 ................
26980 ................
27060 ................
27100 ................
VerDate Mar<15>2010
Wage
index
Dauphin County, PA
Perry County, PA
Harrisonburg, VA ............................................................................................................................................................
Rockingham County, VA
Harrisonburg City, VA
Hartford-West Hartford-East Hartford, CT .....................................................................................................................
Hartford 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 1 .........................................................................................................................................
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-Sugar Land-Baytown, 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-Carmel, IN ..................................................................................................................................................
Boone County, IN
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
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0.9028
0.8696
1.1662
0.9004
0.7875
0.9841
0.9097
0.9064
0.9436
0.9742
0.9548
1.0112
0.8720
23136
Federal Register / Vol. 75, No. 83 / Friday, April 30, 2010 / Notices
TABLE 1—RY 2011 WAGE INDEX FOR URBAN AREAS BASED ON CBSA LABOR MARKET AREAS—Continued
CBSA code
Urban area
(constituent counties)
27140 ................
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
Lafayette County, MO
Platte County, MO
Ray County, MO
Kennewick-Pasco-Richland, 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 ..................................................................................................................................................................
27180 ................
27260 ................
27340 ................
27500 ................
27620 ................
27740 ................
27780 ................
27860 ................
27900 ................
28020 ................
28100 ................
28140 ................
28420 ................
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28660 ................
28700 ................
28740 ................
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0.8186
0.8581
0.9105
0.8026
0.9201
0.8709
0.7722
0.8233
0.7722
0.8285
1.0264
1.0174
0.9679
1.0448
0.8702
0.7999
0.9367
Federal Register / Vol. 75, No. 83 / Friday, April 30, 2010 / Notices
23137
TABLE 1—RY 2011 WAGE INDEX FOR URBAN AREAS BASED ON CBSA LABOR MARKET AREAS—Continued
Urban area
(constituent counties)
CBSA code
28940 ................
29020 ................
29100 ................
29140 ................
29180 ................
29340 ................
29404 ................
29420 ................
29460 ................
29540 ................
29620 ................
29700 ................
29740 ................
29820 ................
29940 ................
30020 ................
30140 ................
30300 ................
30340 ................
30460 ................
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30620 ................
30700 ................
30780 ................
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index
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
Lake Havasu City-Kingman, AZ .....................................................................................................................................
Mohave County, AZ
Lakeland-Winter Haven, 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
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-Conway, AR .....................................................................................................................
Faulkner County, AR
Grant County, AR
Lonoke County, AR
Perry County, AR
Pulaski County, AR
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0.7985
1.0475
1.0567
0.8390
0.9204
0.9770
0.8078
0.8939
1.2130
0.8580
0.7847
0.8119
0.9570
0.9085
0.8889
0.9379
0.9563
0.8559
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Federal Register / Vol. 75, No. 83 / Friday, April 30, 2010 / Notices
TABLE 1—RY 2011 WAGE INDEX FOR URBAN AREAS BASED ON CBSA LABOR MARKET AREAS—Continued
Urban area
(constituent counties)
CBSA code
30860 ................
30980 ................
31020 ................
31084 ................
31140 ................
31180 ................
31340 ................
31420 ................
31460 ................
31540 ................
31700 ................
31740 ................
31860 ................
31900 ................
32420 ................
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32780 ................
32820 ................
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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-Santa Ana, CA .....................................................................................................................
Los Angeles County, CA
Louisville-Jefferson County, KY-IN ................................................................................................................................
Clark County, IN
Floyd County, IN
Harrison County, IN
Washington County, IN
Bullitt County, KY
Henry 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-Chowchilla, CA .................................................................................................................................................
Madera County, CA
Madison, WI ...................................................................................................................................................................
Columbia County, WI
Dane County, WI
Iowa County, WI
Manchester-Nashua, NH ................................................................................................................................................
Hillsborough County, NH
Manhattan, KS ...............................................................................................................................................................
Geary County, KS
Pottawatomie County, KS
Riley County, KS
Mankato-North Mankato, MN .........................................................................................................................................
Blue Earth County, MN
Nicollet County, MN
Mansfield, OH ................................................................................................................................................................
Richland County, OH
¨
Mayaguez, PR ................................................................................................................................................................
Hormigueros Municipio, PR
¨
Mayaguez Municipio, PR
McAllen-Edinburg-Mission, 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
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0.8751
0.8521
0.9826
0.7958
1.1234
1.0171
0.7878
0.9177
0.9100
0.3704
0.8852
1.0070
0.9268
Federal Register / Vol. 75, No. 83 / Friday, April 30, 2010 / Notices
23139
TABLE 1—RY 2011 WAGE INDEX FOR URBAN AREAS BASED ON CBSA LABOR MARKET AREAS—Continued
Urban area
(constituent counties)
CBSA code
32900 ................
33124 ................
33140 ................
33260 ................
33340 ................
33460 ................
33540 ................
33660 ................
33700 ................
33740 ................
33780 ................
33860 ................
34060 ................
34100 ................
34580 ................
34620 ................
34740 ................
34820 ................
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34940 ................
34980 ................
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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 ........................................................................................................................................
Muskegon County, MI
Myrtle Beach-North Myrtle Beach-Conway, SC ............................................................................................................
Horry County, SC
Napa, CA ........................................................................................................................................................................
Napa County, CA
Naples-Marco Island, FL ................................................................................................................................................
Collier County, FL
Nashville-Davidson—Murfreesboro—Franklin, TN ........................................................................................................
Cannon County, TN
Cheatham County, TN
Davidson County, TN
Dickson County, TN
Hickman County, TN
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1.2502
0.7752
0.8885
0.8304
0.8459
0.7201
1.0452
0.8386
0.9823
0.8730
1.4453
0.9662
0.9689
23140
Federal Register / Vol. 75, No. 83 / Friday, April 30, 2010 / Notices
TABLE 1—RY 2011 WAGE INDEX FOR URBAN AREAS BASED ON CBSA LABOR MARKET AREAS—Continued
Urban area
(constituent counties)
CBSA code
35004 ................
35084 ................
35300 ................
35380 ................
35644 ................
35660 ................
35980 ................
36084 ................
36100 ................
36140 ................
36220 ................
36260 ................
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36500 ................
36540 ................
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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-White Plains-Wayne, 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
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
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0.9361
0.8900
1.1531
0.9608
Federal Register / Vol. 75, No. 83 / Friday, April 30, 2010 / Notices
23141
TABLE 1—RY 2011 WAGE INDEX FOR URBAN AREAS BASED ON CBSA LABOR MARKET AREAS—Continued
Urban area
(constituent counties)
CBSA code
36740 ................
36780 ................
36980 ................
37100 ................
37340 ................
37380 ................
37460 ................
37620 ................
37700 ................
37764 ................
37860 ................
37900 ................
37964 ................
38060 ................
38220 ................
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38340 ................
38540 ................
38660 ................
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Cass County, NE
Douglas County, NE
Sarpy County, NE
Saunders County, NE
Washington County, NE
Orlando-Kissimmee, 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
Palm Coast, FL ..............................................................................................................................................................
Flagler County, FL
Panama City-Lynn Haven-Panama City Beach, FL ......................................................................................................
Bay County, FL
Parkersburg-Marietta-Vienna, WV-OH ...........................................................................................................................
Washington County, OH
Pleasants County, WV
Wirt County, WV
Wood County, WV
Pascagoula, MS .............................................................................................................................................................
George County, MS
Jackson County, MS
Peabody, MA ..................................................................................................................................................................
Essex County, MA
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
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 Dıaz Municipio, PR
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0.9603
0.8324
0.7716
0.8433
1.0871
0.8312
0.9155
1.0739
1.0630
0.7281
0.8625
1.0658
0.9239
0.4220
23142
Federal Register / Vol. 75, No. 83 / Friday, April 30, 2010 / Notices
TABLE 1—RY 2011 WAGE INDEX FOR URBAN AREAS BASED ON CBSA LABOR MARKET AREAS—Continued
Urban area
(constituent counties)
CBSA code
38860 ................
38900 ................
38940 ................
39100 ................
39140 ................
39300 ................
39340 ................
39380 ................
39460 ................
39540 ................
39580 ................
39660 ................
39740 ................
39820 ................
39900 ................
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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, 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
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
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1.0187
1.1498
0.9896
1.1216
1.0121
1.0782
0.9548
0.8570
0.8774
0.9373
0.9663
1.0046
0.9263
1.4039
1.0285
0.9521
Federal Register / Vol. 75, No. 83 / Friday, April 30, 2010 / Notices
23143
TABLE 1—RY 2011 WAGE INDEX FOR URBAN AREAS BASED ON CBSA LABOR MARKET AREAS—Continued
Urban area
(constituent counties)
CBSA code
40140 ................
40220 ................
40340 ................
40380 ................
40420 ................
40484 ................
40580 ................
40660 ................
40900 ................
40980 ................
41060 ................
41100 ................
41140 ................
wwoods2 on DSKDVH8Z91PROD with NOTICES2
41180 ................
41420 ................
VerDate Mar<15>2010
Wage
index
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, 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
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
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1.1285
0.8671
1.1136
0.8724
1.0152
1.0125
0.8845
0.8915
1.4073
0.9122
1.1107
0.9236
1.0189
0.9102
1.0974
23144
Federal Register / Vol. 75, No. 83 / Friday, April 30, 2010 / Notices
TABLE 1—RY 2011 WAGE INDEX FOR URBAN AREAS BASED ON CBSA LABOR MARKET AREAS—Continued
CBSA code
Urban area
(constituent counties)
41500 ................
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
´
Comerıo Municipio, PR
Corozal Municipio, PR
Dorado Municipio, PR
Florida Municipio, PR
Guaynabo Municipio, PR
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
41540 ................
41620 ................
41660 ................
41700 ................
41740 ................
41780 ................
41884 ................
41900 ................
41940 ................
wwoods2 on DSKDVH8Z91PROD with NOTICES2
41980 ................
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30APN2
1.5207
0.9110
0.9378
0.7914
0.8857
1.1752
0.8888
1.5874
0.4740
1.6404
0.4363
Federal Register / Vol. 75, No. 83 / Friday, April 30, 2010 / Notices
23145
TABLE 1—RY 2011 WAGE INDEX FOR URBAN AREAS BASED ON CBSA LABOR MARKET AREAS—Continued
Urban area
(constituent counties)
CBSA code
42020 ................
42044 ................
42060 ................
42100 ................
42140 ................
42220 ................
42340 ................
42540 ................
42644 ................
42680 ................
43100 ................
43300 ................
43340 ................
43580 ................
43620 ................
43780 ................
43900 ................
44060 ................
44100 ................
wwoods2 on DSKDVH8Z91PROD with NOTICES2
44140 ................
44180 ................
VerDate Mar<15>2010
Wage
index
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
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
Sebastian-Vero Beach, FL .............................................................................................................................................
Indian River County, FL
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 ............................................................................................................................................................
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
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1.2550
1.1972
1.2213
1.6735
1.0694
1.5891
0.9043
0.8375
1.1577
0.9362
0.9166
0.8064
0.8383
0.9094
0.8983
0.9690
0.9341
1.0444
0.9545
1.0373
0.8453
23146
Federal Register / Vol. 75, No. 83 / Friday, April 30, 2010 / Notices
TABLE 1—RY 2011 WAGE INDEX FOR URBAN AREAS BASED ON CBSA LABOR MARKET AREAS—Continued
CBSA code
Urban area
(constituent counties)
44220 ................
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
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
44300 ................
44700 ................
44940 ................
45060 ................
45104 ................
45220 ................
45300 ................
45460 ................
45500 ................
45780 ................
45820 ................
45940 ................
46060 ................
46140 ................
46220 ................
46340 ................
wwoods2 on DSKDVH8Z91PROD with NOTICES2
46540 ................
46660 ................
46700 ................
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30APN2
0.9195
0.9096
1.2331
0.8152
0.9785
1.1195
0.8406
0.8982
0.9061
0.8113
0.9541
0.9026
1.0552
0.9505
0.8662
0.8698
0.8312
0.8460
0.7944
1.4934
Federal Register / Vol. 75, No. 83 / Friday, April 30, 2010 / Notices
23147
TABLE 1—RY 2011 WAGE INDEX FOR URBAN AREAS BASED ON CBSA LABOR MARKET AREAS—Continued
CBSA code
Urban area
(constituent counties)
47020 ................
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-Troy-Farmington Hills, 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
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-East Wenatchee, WA .................................................................................................................................
Chelan County, WA
Douglas County, WA
West Palm Beach-Boca Raton-Boynton Beach, FL ......................................................................................................
Palm Beach County, FL
47220 ................
47260 ................
47300 ................
47380 ................
47580 ................
47644 ................
47894 ................
47940 ................
wwoods2 on DSKDVH8Z91PROD with NOTICES2
48140 ................
48260 ................
48300 ................
48424 ................
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30APN2
0.8054
1.0207
0.8960
1.0221
0.8377
0.8754
0.9806
1.0882
0.8518
0.9440
0.7368
0.9719
0.9879
23148
Federal Register / Vol. 75, No. 83 / Friday, April 30, 2010 / Notices
TABLE 1—RY 2011 WAGE INDEX FOR URBAN AREAS BASED ON CBSA LABOR MARKET AREAS—Continued
CBSA code
Urban area
(constituent counties)
48540 ................
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
Yuma, AZ .......................................................................................................................................................................
Yuma County, AZ
48620 ................
48660 ................
48700 ................
48864 ................
48900 ................
49020 ................
49180 ................
49340 ................
49420 ................
49500 ................
49620 ................
49660 ................
49700 ................
49740 ................
1 At
State
code
wwoods2 on DSKDVH8Z91PROD with NOTICES2
0.6869
0.9018
0.9197
0.7877
1.0555
0.8986
0.9777
0.8953
1.1089
0.9949
0.3348
0.9299
0.8679
1.1265
0.9143
this time, there are no hospitals located in this urban area on which to base a wage index.
TABLE 2—RY 2011 WAGE INDEX
BASED ON CBSA LABOR MARKET
AREAS FOR RURAL AREAS
1
2
3
4
5
6
7
8
Wage
index
...........
...........
...........
...........
...........
...........
...........
...........
Nonurban area
Alabama .................
Alaska ....................
Arizona ...................
Arkansas ................
California ................
Colorado .................
Connecticut ............
Delaware ................
VerDate Mar<15>2010
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Wage index
0.7327
1.1669
0.8790
0.7332
1.2051
0.9929
1.1093
0.9910
Jkt 220001
TABLE 2—RY 2011 WAGE INDEX
BASED ON CBSA LABOR MARKET
AREAS FOR RURAL AREAS—Continued
TABLE 2—RY 2011 WAGE INDEX
BASED ON CBSA LABOR MARKET
AREAS FOR RURAL AREAS—Continued
State
code
State
code
10
11
12
13
14
15
16
PO 00000
.........
.........
.........
.........
.........
.........
.........
Nonurban area
Florida ....................
Georgia ..................
Hawaii ....................
Idaho ......................
Illinois .....................
Indiana ...................
Iowa ........................
Frm 00044
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0.8566
0.7623
1.1113
0.7733
0.8312
0.8529
0.8624
17
18
19
20
21
22
23
.........
.........
.........
.........
.........
.........
.........
E:\FR\FM\30APN2.SGM
Nonurban area
Kansas ...................
Kentucky ................
Louisiana ................
Maine .....................
Maryland ................
Massachusetts 1 .....
Michigan .................
30APN2
Wage index
0.8167
0.7813
0.7611
0.8579
0.9131
1.1700
0.8778
Federal Register / Vol. 75, No. 83 / Friday, April 30, 2010 / Notices
23149
TABLE 2—RY 2011 WAGE INDEX
BASED ON CBSA LABOR MARKET
AREAS FOR RURAL AREAS—Continued
TABLE 2—RY 2011 WAGE INDEX
BASED ON CBSA LABOR MARKET
AREAS FOR RURAL AREAS—Continued
TABLE 2—RY 2011 WAGE INDEX
BASED ON CBSA LABOR MARKET
AREAS FOR RURAL AREAS—Continued
State
code
State
code
wwoods2 on DSKDVH8Z91PROD with NOTICES2
24
25
26
27
28
29
30
31
32
33
34
35
36
37
.........
.........
.........
.........
.........
.........
.........
.........
.........
.........
.........
.........
.........
.........
Nonurban area
Wage index
Minnesota ...............
Mississippi ..............
Missouri ..................
Montana .................
Nebraska ................
Nevada ...................
New Hampshire .....
New Jersey 1 ..........
New Mexico ...........
New York ...............
North Carolina ........
North Dakota ..........
Ohio ........................
Oklahoma ...............
0.9160
0.7638
0.7671
0.8399
0.8705
0.9674
0.9957
....................
0.8938
0.8269
0.8535
0.7813
0.8506
0.7654
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38
39
40
41
42
43
44
45
46
47
48
49
50
51
PO 00000
.........
.........
.........
.........
.........
.........
.........
.........
.........
.........
.........
.........
.........
.........
Nonurban area
Wage index
State
code
Nonurban area
Oregon ...................
Pennsylvania ..........
Puerto Rico 1 ..........
Rhode Island 1 ........
South Carolina .......
South Dakota .........
Tennessee .............
Texas .....................
Utah ........................
Vermont ..................
Virgin Islands .........
Virginia ...................
Washington ............
West Virginia ..........
1.0236
0.8306
0.4047
....................
0.8394
0.8510
0.7808
0.7759
0.8363
0.9763
0.7416
0.7869
1.0224
0.7396
52 .........
53 .........
65 .........
Wisconsin ...............
Wyoming ................
Guam .....................
Frm 00045
Fmt 4701
Sfmt 9990
Wage index
0.9206
0.9535
0.9611
1 All counties within the State are classified
as urban, with the exception of Massachusetts
and Puerto Rico. Massachusetts and Puerto
Rico have areas designated as rural; however,
no short-term, acute care hospitals are located
in the area(s) for FY 2010. The rural Massachusetts wage index is calculated as the average of all contiguous CBSAs. The Puerto Rico
wage index is the same as FY 2009.
[FR Doc. 2010–9870 Filed 4–29–10; 8:45 am]
BILLING CODE 4120–01–P
E:\FR\FM\30APN2.SGM
30APN2
Agencies
[Federal Register Volume 75, Number 83 (Friday, April 30, 2010)]
[Notices]
[Pages 23106-23149]
From the Federal Register Online via the Government Printing Office [www.gpo.gov]
[FR Doc No: 2010-9870]
[[Page 23105]]
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Part IV
Department of Health and Human Services
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Centers for Medicare & Medicaid Services
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Medicare Program; Inpatient Psychiatric Facilities Prospective Payment
System Payment--Update for Rate Year Beginning July 1, 2010 (RY 2011);
Notice
Federal Register / Vol. 75 , No. 83 / Friday, April 30, 2010 /
Notices
[[Page 23106]]
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DEPARTMENT OF HEALTH AND HUMAN SERVICES
Centers for Medicare & Medicaid Services
[CMS-1424-N]
RIN 0938-AP83
Medicare Program; Inpatient Psychiatric Facilities Prospective
Payment System Payment--Update for Rate Year Beginning July 1, 2010 (RY
2011)
AGENCY: Centers for Medicare & Medicaid Services (CMS), HHS.
ACTION: Notice
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SUMMARY: This notice updates the payment rates for the Medicare
prospective payment system (PPS) for inpatient psychiatric hospital
services provided by inpatient psychiatric facilities (IPFs). These
changes are applicable to IPF discharges occurring during the rate year
beginning July 1, 2010 through June 30, 2011. We are also responding to
comments on the IPF PPS teaching adjustment and the market basket,
which we received in response to our May 2009 IPF PPS notice with
request for comments.
DATES: Effective Date: The updated IPF prospective payment rates are
effective for discharges occurring on or after July 1, 2010 through
June 30, 2011.
FOR FURTHER INFORMATION CONTACT:
Dorothy Myrick or Jana Lindquist, (410) 786-4533 (for general
information).
Mary Carol Barron, (410) 786-7943 (for information regarding the market
basket and labor-related share).
Theresa Bean, (410) 786-2287 (for information regarding the regulatory
impact analysis).
SUPPLEMENTARY INFORMATION:
Table of Contents
To assist readers in referencing sections contained in this
document, we are providing the following table of contents.
I. Background
A. Annual Requirements for Updating the IPF PPS
B. Overview of the Legislative Requirements of the IPF PPS
C. IPF PPS--General Overview
II. Transition Period for Implementation of the IPF PPS
III. Updates to the IPF PPS for RY Beginning July 1, 2010
A. Determining the Standardized Budget-Neutral Federal Per Diem
Base Rate
1. Standardization of the Federal Per Diem Base Rate and
Electroconvulsive Therapy (ECT) Rate
2. Calculation of the Budget Neutrality Adjustment
a. Outlier Adjustment
b. Stop-Loss Provision Adjustment
c. Behavioral Offset
B. Update of the Federal Per Diem Base Rate and
Electroconvulsive Therapy Rate
1. Market Basket for IPFs Reimbursed under the IPF PPS
a. Market Basket Index for the IPF PPS
b. Overview of the RPL Market Basket
2. Labor-Related Share
3. Comments on Creating a Stand-Alone IPF Market Basket
IV. Update of the IPF PPS Adjustment Factors
A. Overview of the IPF PPS Adjustment Factors
B. Patient-Level Adjustments
1. Adjustment for MS-DRG Assignment
2. Payment for Comorbid Conditions
3. Patient Age Adjustments
4. Variable Per Diem Adjustments
C. Facility-Level Adjustments
1. Wage Index Adjustment
a. Background
b. Wage Index for RY 2011
c. OMB Bulletins
2. Adjustment for Rural Location
3. Teaching Adjustment
4. Cost of Living Adjustment for IPFs Located in Alaska and
Hawaii
5. Adjustment for IPFs With a Qualifying Emergency Department
(ED)
D. Other Payment Adjustments and Policies
1. Outlier Payments
a. Update to the Outlier Fixed Dollar Loss Threshold Amount
b. Statistical Accuracy of Cost-to-Charge Ratios
2. Expiration of the Stop-Loss Provision
V. Comments Beyond the Scope of the May 2009 IPF PPS Notice With
Request for Comments
VI. Waiver of Proposed Rulemaking
VII. Collection of Information Requirements
VIII. Regulatory Impact Analysis
Addenda
Acronyms
Because of the many terms to which we refer by acronym in this
notice, we are listing the acronyms used and their corresponding terms
in alphabetical order below:
BBRA Medicare, Medicaid and SCHIP [State Children's Health Insurance
Program] Balanced Budget Refinement Act of 1999, (Pub. L. 106-113).
CBSA Core-Based Statistical Area.
CCR Cost-to-charge ratio.
CAH Critical access hospital.
DSM-IV-TR Diagnostic and Statistical Manual of Mental Disorders
Fourth Edition--Text Revision.
DRGs Diagnosis-related groups.
FY Federal fiscal year.
ICD-9-CM International Classification of Diseases, 9th Revision,
Clinical Modification.
IPFs Inpatient psychiatric facilities.
IRFs Inpatient rehabilitation facilities.
LTCHs Long-term care hospitals.
MedPAR Medicare provider analysis and review file.
RY Rate Year.
TEFRA Tax Equity and Fiscal Responsibility Act of 1982, (Pub. L. 97-
248).
I. Background
A. Annual Requirements for Updating the IPF PPS
In November 2004, we implemented the inpatient psychiatric
facilities (IPF) prospective payment system (PPS) in a final rule that
appeared in the November 15, 2004 Federal Register (69 FR 66922). In
developing the IPF PPS, in order to ensure that the IPF PPS is able to
account adequately for each IPF's case-mix, we performed an extensive
regression analysis of the relationship between the per diem costs and
certain patient and facility characteristics to determine those
characteristics associated with statistically significant cost
differences on a per diem basis. For characteristics with statistically
significant cost differences, we used the regression coefficients of
those variables to determine the size of the corresponding payment
adjustments.
In that final rule, we explained that we believe it is important to
delay updating the adjustment factors derived from the regression
analysis until we have IPF PPS data that includes as much information
as possible regarding the patient-level characteristics of the
population that each IPF serves. Therefore, we indicated that we did
not intend to update the regression analysis and recalculate the
Federal per diem base rate and the patient- and facility-level
adjustments until we complete that analysis. Until that analysis is
complete, we stated our intention to publish a notice in the Federal
Register each spring to update the IPF PPS (71 FR 27041).
Updates to the IPF PPS as specified in 42 CFR Sec. 412.428 include
the following:
A description of the methodology and data used to
calculate the updated Federal per diem base payment amount.
The rate of increase factor as described in Sec.
412.424(a)(2)(iii), which is based on the excluded hospital with
capital market basket under the update methodology of section
1886(b)(3)(B)(ii) of the Social Security Act (the Act) for each year
(effective from the implementation period until June 30, 2006).
For discharges occurring on or after July 1, 2006, the
rate of increase factor for the Federal portion of the IPF's payment,
which is based on the rehabilitation, psychiatric, and long-term care
(RPL) market basket.
The best available hospital wage index and information
regarding whether an adjustment to the Federal
[[Page 23107]]
per diem base rate is needed to maintain budget neutrality.
Updates to the fixed dollar loss threshold amount in order
to maintain the appropriate outlier percentage.
Description of the International Classification of
Diseases, 9th Revision, Clinical Modification (ICD-9-CM) coding and
diagnosis-related groups (DRGs) classification changes discussed in the
annual update to the hospital inpatient prospective payment system
(IPPS) regulations.
Update to the electroconvulsive therapy (ECT) payment by a
factor specified by CMS.
Update to the national urban and rural cost-to-charge
ratio medians and ceilings.
Update to the cost of living adjustment factors for IPFs
located in Alaska and Hawaii, if appropriate.
Our most recent annual update occurred in the May 2009 IPF PPS
notice with request for comments (74 FR 20362) (hereinafter referred to
as the May 2009 IPF PPS notice) that set forth updates to the IPF PPS
payment rates for RY 2010. This notice updates the IPF per diem payment
rates that were published in the May 2009 IPF PPS notice in accordance
with our established policies.
B. Overview of the Legislative Requirements of the IPF PPS
Section 124 of the Medicare, Medicaid, and SCHIP (State Children's
Health Insurance Program) Balanced Budget Refinement Act of 1999, (Pub.
L. 106-113) (BBRA) required implementation of the IPF PPS.
Specifically, section 124 of the BBRA mandated that the Secretary
develop a per diem PPS for inpatient hospital services furnished in
psychiatric hospitals and psychiatric units that includes an adequate
patient classification system that reflects the differences in patient
resource use and costs among psychiatric hospitals and psychiatric
units.
Section 405(g)(2) of the Medicare Prescription Drug, Improvement,
and Modernization Act of 2003 (MMA) (Pub. L. 108-173) extended the IPF
PPS to distinct part psychiatric units of critical access hospitals
(CAHs).
To implement these provisions, we published various proposed and
final rules in the Federal Register. For more information regarding
these rules, see the CMS Web sites https://www.cms.hhs.gov/InpatientPsychFacilPPS/and https://www.cms.hhs.gov/InpatientpsychfacilPPS/02_regulations.asp.
Section 1886(s)(3)(A) of the Act, which was added by Section
3401(f) of the Patient Protection and Affordable Care Act (Pub. L. 111-
148) as amended by Section 10319(e) of that Act and by Section 1105 of
the Health Care and Education Reconciliation Act of 2010 (Pub. L. 111-
152), requires the application of an ``Other Adjustment'' that reduces
any update to the IPF PPS base rate by 0.25 percentage point for the
rate year beginning in 2010. We are implementing that provision for RY
2011 in this notice.
C. IPF PPS--General Overview
The November 2004 IPF PPS final rule (69 FR 66922) established the
IPF PPS, as authorized under section 124 of the BBRA and codified at
subpart N of part 412 of the Medicare regulations. The November 2004
IPF PPS final rule set forth the per diem Federal rates for the
implementation year (the 18-month period from January 1, 2005 through
June 30, 2006), and it provided payment for the inpatient operating and
capital costs to IPFs for covered psychiatric services they furnish
(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 IPF PPS). Covered psychiatric
services include services for which benefits are provided under the
fee-for-service Part A (Hospital Insurance Program) Medicare program.
The IPF PPS established the Federal per diem base rate for each
patient day in an IPF derived from the national average daily routine
operating, ancillary, and capital costs in IPFs in FY 2002. The average
per diem cost was updated to the midpoint of the first year under the
IPF PPS, standardized to account for the overall positive effects of
the IPF PPS payment adjustments, and adjusted for budget neutrality.
The Federal per diem payment under the IPF PPS is comprised of the
Federal per diem base rate described above and certain patient- and
facility-level payment adjustments that were found in the regression
analysis to be associated with statistically significant per diem cost
differences.
The patient-level adjustments include age, DRG assignment,
comorbidities, and variable per diem adjustments to reflect higher per
diem costs in the early days of an IPF stay. Facility-level adjustments
include adjustments for the IPF's wage index, rural location, teaching
status, a cost of living adjustment for IPFs located in Alaska and
Hawaii, and presence of a qualifying emergency department (ED).
The IPF PPS provides additional payment policies for: outlier
cases; stop-loss protection (which was applicable only during the IPF
PPS transition period); interrupted stays; and a per treatment
adjustment for patients who undergo ECT.
A complete discussion of the regression analysis appears in the
November 2004 IPF PPS final rule (69 FR 66933 through 66936).
Section 124 of BBRA does not specify an annual update rate strategy
for the IPF PPS and is broadly written to give the Secretary discretion
in establishing an update methodology. Therefore, in the November 2004
IPF PPS final rule, we implemented the IPF PPS using the following
update strategy:
Calculate the final Federal per diem base rate to be
budget neutral for the 18-month period of January 1, 2005 through June
30, 2006.
Use a July 1 through June 30 annual update cycle.
Allow the IPF PPS first update to be effective for
discharges on or after July 1, 2006 through June 30, 2007.
II. Transition Period for Implementation of the IPF PPS
In the November 2004 IPF PPS final rule, we provided for a 3-year
transition period. During this 3-year transition period, an IPF's total
payment under the PPS was based on an increasing percentage of the
Federal rate with a corresponding decreasing percentage of the IPF PPS
payment that is based on reasonable cost concepts. However, effective
for cost reporting periods beginning on or after January 1, 2008, IPF
PPS payments are based on 100 percent of the Federal rate.
III. Updates to the IPF PPS for RY Beginning July 1, 2010
The IPF PPS is based on a standardized Federal per diem base rate
calculated from IPF average per diem costs and adjusted for budget-
neutrality in the implementation year. The Federal per diem base rate
is used as the standard payment per day under the IPF PPS and is
adjusted by the patient- and facility-level adjustments that are
applicable to the IPF stay. A detailed explanation of how we calculated
the average per diem cost appears in the November 2004 IPF PPS final
rule (69 FR 66926).
A. Determining the Standardized Budget-Neutral Federal Per Diem Base
Rate
Section 124(a)(1) of the BBRA requires that we implement the IPF
PPS in a budget neutral manner. In other words, the amount of total
payments
[[Page 23108]]
under the IPF PPS, including any payment adjustments, must be projected
to be equal to the amount of total payments that would have been made
if the IPF PPS were not implemented. Therefore, we calculated the
budget-neutrality factor by setting the total estimated IPF PPS
payments to be equal to the total estimated payments that would have
been made under the Tax Equity and Fiscal Responsibility Act of 1982
(TEFRA) (Pub. L. 97-248) methodology had the IPF PPS not been
implemented.
Under the IPF PPS methodology, we calculated the final Federal per
diem base rate to be budget neutral during the IPF PPS implementation
period (that is, the 18-month period from January 1, 2005 through June
30, 2006) using a July 1 update cycle. We updated the average cost per
day to the midpoint of the IPF PPS implementation period (that is,
October 1, 2005), and this amount was used in the payment model to
establish the budget-neutrality adjustment.
A step-by-step description of the methodology used to estimate
payments under the TEFRA payment system appears in the November 2004
IPF PPS final rule (69 FR 66926).
1. Standardization of the Federal Per Diem Base Rate and
Electroconvulsive Therapy (ECT) Rate
In the November 2004 IPF PPS final rule, we describe how we
standardized the IPF PPS Federal per diem base rate in order to account
for the overall positive effects of the IPF PPS payment adjustment
factors. To standardize the IPF PPS payments, we compared the IPF PPS
payment amounts calculated from the FY 2002 Medicare Provider Analysis
and Review (MedPAR) file to the projected TEFRA payments from the FY
2002 cost report file updated to the midpoint of the IPF PPS
implementation period (that is, October 2005). The standardization
factor was calculated by dividing total estimated payments under the
TEFRA payment system by estimated payments under the IPF PPS. The
standardization factor was calculated to be 0.8367.
As described in detail in the May 2006 IPF PPS final rule (71 FR
27045), in reviewing the methodology used to simulate the IPF PPS
payments used for the November 2004 IPF PPS final rule, we discovered
that due to a computer code error, total IPF PPS payments were
underestimated by about 1.36 percent. Since the IPF PPS payment total
should have been larger than the estimated figure, the standardization
factor should have been smaller (0.8254 vs. 0.8367). In turn, the
Federal per diem base rate and the ECT rate should have been reduced by
0.8254 instead of 0.8367.
To resolve this issue, in RY 2007, we amended the Federal per diem
base rate and the ECT payment rate prospectively. Using the
standardization factor of 0.8254, the average cost per day was
effectively reduced by 17.46 percent (100 percent minus 82.54 percent =
17.46 percent).
2. Calculation of the Budget Neutrality Adjustment
To compute the budget neutrality adjustment for the IPF PPS, we
separately identified each component of the adjustment, that is, the
outlier adjustment, stop-loss adjustment, and behavioral offset.
A complete discussion of how we calculate each component of the
budget neutrality adjustment appears in the November 2004 IPF PPS final
rule (69 FR 66932 through 66933) and in the May 2006 IPF PPS final rule
(71 FR 27044 through 27046).
a. Outlier Adjustment
Since the IPF PPS payment amount for each IPF includes applicable
outlier amounts, we reduced the standardized Federal per diem base rate
to account for aggregate IPF PPS payments estimated to be made as
outlier payments. The outlier adjustment was calculated to be 2
percent. As a result, the standardized Federal per diem base rate was
reduced by 2 percent to account for projected outlier payments.
b. Stop-Loss Provision Adjustment
As explained in the November 2004 IPF PPS final rule, we provided a
stop-loss payment during the transition from cost-based reimbursement
to the per diem payment system to ensure that an IPF's total PPS
payments were no less than a minimum percentage of their TEFRA payment,
had the IPF PPS not been implemented. We reduced the standardized
Federal per diem base rate by the percentage of aggregate IPF PPS
payments estimated to be made for stop-loss payments. As a result, the
standardized Federal per diem base rate was reduced by 0.39 percent to
account for stop-loss payments. Since the transition was completed in
RY 2009, the stop-loss provision is no longer applicable, and for cost
reporting periods beginning on or after January 1, 2008, IPFs were paid
100 percent PPS.
c. Behavioral Offset
As explained in the November 2004 IPF PPS final rule,
implementation of the IPF PPS may result in certain changes in IPF
practices, especially with respect to coding for comorbid medical
conditions. As a result, Medicare may make higher payments than assumed
in our calculations. Accounting for these effects through an adjustment
is commonly known as a behavioral offset.
Based on accepted actuarial practices and consistent with the
assumptions made in other PPSs, we assumed in determining the
behavioral offset that IPFs would regain 15 percent of potential
``losses'' and augment payment increases by 5 percent. We applied this
actuarial assumption, which is based on our historical experience with
new payment systems, to the estimated ``losses'' and ``gains'' among
the IPFs. The behavioral offset for the IPF PPS was calculated to be
2.66 percent. As a result, we reduced the standardized Federal per diem
base rate by 2.66 percent to account for behavioral changes. As
indicated in the November 2004 IPF PPS final rule, we do not plan to
change adjustment factors or projections until we analyze IPF PPS data.
If we find that an adjustment is warranted, the percent difference
may be applied prospectively to the established PPS rates to ensure the
rates accurately reflect the payment level intended by the statute. In
conducting this analysis, we will be interested in the extent to which
improved coding of patients' principal and other diagnoses, which may
not reflect real increases in underlying resource demands, has occurred
under the PPS.
B. Update of the Federal Per Diem Base Rate and Electroconvulsive
Therapy Rate
1. Market Basket for IPFs Reimbursed under the IPF PPS
As described in the November 2004 IPF PPS final rule (69 FR 66931),
the average per diem cost was updated to the midpoint of the
implementation year. This updated average per diem cost of $724.43 was
reduced by 17.46 percent to account for standardization to projected
TEFRA payments for the implementation period, by 2 percent to account
for outlier payments, by 0.39 percent to account for stop-loss
payments, and by 2.66 percent to account for the behavioral offset. The
Federal per diem base rate in the implementation year was $575.95. The
increase in the per diem base rate for RY 2009 included the 0.39
percent increase due to the removal of the stop-loss provision. We
indicated in the November 2004 IPF PPS final rule (69 FR 66932) that we
would remove this 0.39 percent reduction to the Federal per diem base
rate after the transition. For RY 2009 and beyond, the stop-loss
[[Page 23109]]
provision has ended and is therefore no longer a part of budget
neutrality.
Due to new section 1886(s)(3)(A) of the Act, which requires the
application of an ``Other Adjustment'' that reduces the update to the
IPF PPS base rate for the rate year beginning in CY 2010, we reduced
the update to the IPF PPS base rate by 0.25 percent for rate year 2011.
Applying the market basket increase of 2.4 percent, with the ``Other
Adjustment'' of -0.25%, and the wage index budget neutrality factor of
0.9999 to the RY 2010 Federal per diem base rate of $651.76 yields a
Federal per diem base rate of $665.71 for RY 2011. Similarly, applying
the market basket increase with the ``Other Adjustment'', and the wage
index budget neutrality factor to the RY 2010 ECT rate yields an ECT
rate of $286.60 for RY 2011.
a. Market Basket Index for the IPF PPS
The market basket index that was used to develop the IPF PPS was
the excluded hospital with capital market basket. This market basket
was based on 1997 Medicare cost report data and included data for
Medicare-participating IPFs, inpatient rehabilitation facilities
(IRFs), long-term care hospitals (LTCHs), cancer, and children's
hospitals.
Beginning with the May 2006 IPF PPS final rule (71 FR 27046 through
27054), IPF PPS payments were updated using a 2002-based market basket
reflecting the operating and capital cost structures for IRFs, IPFs,
and LTCHs (hereafter referred to as the rehabilitation, psychiatric,
long-term care (RPL) market basket).
We excluded cancer and children's hospitals from the RPL market
basket because their payments are based entirely on reasonable costs
subject to rate-of-increase limits established under the authority of
section 1886(b) of the Act, which are implemented in regulations at
Sec. 413.40. They are not reimbursed through a PPS. Also, the FY 2002
cost structures for cancer and children's hospitals are noticeably
different than the cost structures of the IRFs, IPFs, and LTCHs. A
complete discussion of the RPL market basket appears in the May 2006
IPF PPS final rule (71 FR 27046 through 27054).
In the May 2009 IPF PPS notice (74 FR 20362), we requested public
comment on the possibility of creating a stand-alone IPF market basket.
In this notice, we are responding to those comments in the ``Comments
on Creating a Stand-Alone IPF Market Basket'' section.
b. Overview of the RPL Market Basket
The RPL market basket is a fixed weight, Laspeyres-type price
index. 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 (quantity and intensity) of goods and services
needed to provide services in a base period. The effects on total
expenditures resulting from changes in the mix of goods and services
purchased subsequent to the base period are not measured. In this
manner, the market basket measures pure price change only. Only when
the index is rebased would changes in the quantity and intensity be
captured in the cost weights. Therefore, we rebase the market basket
periodically so that cost weights reflect recent changes in the mix of
goods and services that hospitals purchase to furnish patient care
between base periods.
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. In 2006, we rebased and revised
the market basket used to update the IPF PPS. Table 1 below sets forth
the completed FY 2002-based RPL market basket including the cost
categories, weights, and price proxies.
Table 1--FY 2002-Based RPL Market Basket Cost Categories, Weights, and
Price Proxies
------------------------------------------------------------------------
FY 2002-based
RPL market FY 2002-based RPL
Cost categories basket cost market basket price
weight proxies
------------------------------------------------------------------------
TOTAL.......................... 100.000 .......................
Compensation................... 65.877 .......................
Wages and Salaries*........ 52.895 ECI--Wages and
Salaries, Civilian
Hospital Workers.
Employee Benefits*......... 12.982 ECI--Benefits, Civilian
Hospital Workers.
Professional Fees, Non-Medical* 2.892 ECI--Compensation for
Professional & Related
occupations.
Utilities...................... 0.656 .......................
Electricity................ 0.351 PPI--Commercial
Electric Power.
Fuel Oil, Coal, etc........ 0.108 PPI--Commercial Natural
Gas.
Water and Sewage........... 0.197 CPI--U--Water & Sewage
Maintenance.
Professional Liability 1.161 CMS Professional
Insurance. Liability Premium
Index.
All Other Products and Services 19.265 .......................
All Other Products............. 13.323 .......................
Pharmaceuticals............ 5.103 PPI Prescription Drugs.
Food: Direct Purchase...... 0.873 PPI Processed Foods &
Feeds.
Food: Contract Service..... 0.620 CPI--U Food Away From
Home.
Chemicals.................. 1.100 PPI Industrial
Chemicals.
Medical Instruments........ 1.014 PPI Medical Instruments
& Equipment.
Photographic Supplies...... 0.096 PPI Photographic
Supplies.
Rubber and Plastics........ 1.052 PPI Rubber & Plastic
Products.
Paper Products............. 1.000 PPI Converted Paper &
Paperboard Products.
Apparel.................... 0.207 PPI Apparel.
Machinery and Equipment.... 0.297 PPI Machinery &
Equipment.
Miscellaneous Products**... 1.963 PPI Finished Goods less
Food & Energy.
All Other Services............. 5.942 .......................
Telephone.................. 0.240 CPI--U Telephone
Services.
Postage.................... 0.682 CPI--U Postage.
All Other: Labor Intensive* 2.219 ECI--Compensation for
Private Service
Occupations.
All Other: Non-labor 2.800 CPI--U All Items.
Intensive.
Capital-Related Costs***....... 10.149 .......................
[[Page 23110]]
Depreciation................... 6.186 .......................
Fixed Assets............... 4.250 Boeckh Institutional
Construction 23-year
useful life.
Movable Equipment.......... 1.937 PPI Machinery &
Equipment 11-year
useful life.
Interest Costs................. 2.775 .......................
Nonprofit.................. 2.081 Average yield on
domestic municipal
bonds (Bond Buyer 20
bonds) vintage-
weighted (23 years).
For Profit................. 0.694 Average yield on
Moody's Aaa bond
vintage-weighted (23
years).
Other Capital-Related Costs.... 1.187 CPI--U Residential
Rent.
------------------------------------------------------------------------
* Labor-related.
** Blood and blood-related products is included in miscellaneous
products.
*** A portion of capital costs (0.46) are labor-related.
Note: Due to rounding, weights may not sum to total.
We evaluated the price proxies using the criteria of reliability,
timeliness, availability, and relevance. Reliability indicates that the
index is based on valid statistical methods and has low sampling
variability. Timeliness implies that the proxy is published regularly
(preferably at least once a quarter). Availability means that the proxy
is publicly available. Finally, relevance means that the proxy is
applicable and representative of the cost category weight to which it
is applied. The Consumer Price Indexes (CPIs), Producer Price Indexes
(PPIs), and Employment Cost Indexes (ECIs) used as proxies in this
market basket meet these criteria.
We note that the proxies are the same as those used for the FY
1997-based 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 August 1,
2002 hospital inpatient prospective payment system (IPPS) final rule
(67 FR at 50042).
The RY 2011 (that is, beginning July 1, 2010) update for the IPF
PPS using the FY 2002-based RPL market basket and Information Handling
Services (IHS) Global Insight's 1st quarter 2010 forecast for the
market basket components is 2.4 percent. This includes increases in
both the operating section and the capital section for the 12-month RY
period (that is, July 1, 2010 through June 30, 2011). IHS Global
Insight, Inc. is a nationally recognized economic and financial
forecasting firm that contracts with CMS to forecast the components of
the market baskets.
2. Labor-Related Share
Due to the variations in costs and geographic wage levels, we
believe that payment rates under the IPF PPS should continue to be
adjusted by a geographic wage index. This wage index applies to the
labor-related portion of the Federal per diem base rate, hereafter
referred to as the labor-related share.
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 labor-related share is the sum of the relative
importance of wages and salaries, fringe benefits, professional fees,
labor-intensive services, and a portion of the capital share from an
appropriate market basket. We used the FY 2002-based RPL market basket
cost weights relative importance to determine the labor-related share
for the IPF PPS.
The labor-related share for RY 2011 is the sum of the RY 2011
relative importance of each labor-related cost category, and reflects
the different rates of price change for these cost categories between
the base year (FY 2002) and RY 2011. The sum of the relative importance
for the RY 2011 operating costs (wages and salaries, employee benefits,
professional fees, and labor-intensive services) is 71.506 percent, as
shown in Table 2 below. The portion of capital that is influenced by
the local labor market is estimated to be 46 percent, which is the same
percentage used in the FY 1997-based IRF and IPF payment systems.
Since the relative importance for capital is 8.466 percent of the
FY 2002-based RPL market basket in RY 2011, we are taking 46 percent of
8.466 percent to determine the labor-related share of capital for RY
2011. The result is 3.894 percent, which we added to 71.506 percent for
the operating cost amount to determine the total labor-related share
for RY 2011. Thus, the labor-related share that we are using for IPF
PPS in RY 2011 is 75.400 percent. Table 2 below shows the RY 2011
labor-related share using the FY 2002-based RPL market basket. We note
that this labor-related share is determined by using the same
methodology as employed in calculating all previous IPF labor-related
shares.
A complete discussion of the IPF labor-related share methodology
appears in the November 2004 IPF PPS final rule (69 FR 66952 through
66954).
Table 2--Total Labor-Related Share--Relative Importance for RY 2011
------------------------------------------------------------------------
FY
FY 2002-based RPL 2002[dash]based
market basket RPL market basket
labor-related labor-related
Cost category share relative share relative
importance importance
(percent) RY 2010 (percent) RY 2011
* **
------------------------------------------------------------------------
Wages and salaries................ 53.062 52.600
Employee benefits................. 13.852 13.935
Professional fees................. 2.895 2.853
[[Page 23111]]
All other labor-intensive services 2.126 2.118
-------------------------------------
Subtotal...................... 71.935 71.506
------------------------------------------------------------------------
Labor-related share of capital 3.954 3.894
costs (0.46).....................
-------------------------------------
Total......................... 75.889 75.400
------------------------------------------------------------------------
* Based on 2009 1st Quarter forecast.
** Based on 2010 1st Quarter forecast.
3. Comments on Creating a Stand-Alone IPF Market Basket
In the May 2009 IPF PPS notice (74 FR 20362), we expressed our
interest in exploring the possibility of creating a stand-alone IPF
market basket that reflects the cost structures of only IPF providers.
Of the available options, one would be to join the Medicare cost report
data from freestanding IPF providers (presently incorporated into the
RPL market basket) with data from hospital-based IPF providers. An
examination of the Medicare cost report data comparing freestanding and
hospital-based IPFs reveals considerable differences between the two
with respect to cost levels and cost structures.
In order to better understand the observed cost differences between
freestanding and hospital-based IPFs, we reviewed, in detail, several
explanatory variables such as geographic variation, case mix (including
DRG, comorbidity, and age), urban or rural status, length of stay,
teaching status, and the presence of a qualifying emergency department.
Despite this analysis, we were unable to sufficiently explain the
differences in costs between these two types of IPF providers. As a
result, we felt that further research was required and solicited public
comment on additional information that would help us to better
understand the reasons for the variations in costs and cost structures,
as reported by cost report data, between freestanding and hospital-
based IPFs (74 FR 20376).
We received several timely comments from the public on this issue.
A summary of the comments and our responses to those comments are
below.
Comment: Several commenters recommended that CMS consider creating
an IPF-specific market basket. These commenters stated that including
hospital-based IPF data in the market basket and pursuing a greater
understanding of the differences between freestanding and hospital-
based IPFs are both worthy undertakings. The commenters cited that from
2005 through 2007, the number of hospital-based IPFs has decreased by
1.4 percent while the number of freestanding IPFs has increased by 1.0
percent. The commenters expressed concern that these trends will
continue, and likely accelerate. Furthermore, the commenters stated
that in 2007, hospital-based IPFs experienced negative margins while
freestanding IPF margins were positive. Given that more than 60 percent
of IPF discharges are from hospital-based units, the commenters believe
that preserving access to care for these patients (especially those who
have coexisting physical conditions or experience a crisis and enter
the emergency department for treatment) is vital. One commenter stated
that including hospital-based IPF data in the market basket would
increase transparency and highlight the differences between
freestanding and hospital-based providers.
Response: We are actively examining the technical merits of
creating a stand-alone IPF market basket. Since publication of the May
2009 IPF PPS notice, we have been reviewing the Medicare cost report
and claims data for both hospital-based and freestanding IPFs to better
understand the differences in total Medicare costs per day. Parts of
our analysis were based on comments received by the public, which we
address in more detail below. Based on our research to date, which has
not adequately explained the cost-per-day differences between
freestanding and hospital-based providers, we do not believe it is
technically appropriate to move from the RPL market basket to update
IPF payments at this time.
Comment: Several commenters supported the ongoing application of
the RPL market basket to update inpatient psychiatric facility payment
rates. One commenter recommended we continue this method in order to
maintain a reasonable population size of facilities to ensure stability
in the calculation of the market basket. The commenter asserted that if
the RPL market basket was split into separate market baskets for IRFs,
IPFs, and LTCHs, there would be much more volatility in the year-to-
year changes, especially for LTCHs.
Response: We appreciate the comments regarding the continued
support for using the RPL market basket to update inpatient psychiatric
facility payment rates. Likewise, we appreciate the comment regarding
sample size considerations with respect to splitting the RPL market
basket into its respective pieces. Indeed, sample size and its impact
on the volatility of the estimates will be extensively scrutinized
before we would propose to change the mechanism used to update payments
to inpatient psychiatric facilities, inpatient rehabilitation
facilities, and long-term care hospitals.
Comment: One commenter supported the investigation of the
differences in cost structures between hospital-based and freestanding
IPFs. Besides determining the source of these differences, the
commenter also stated it is important for CMS to determine whether the
differences should be recognized (for example, are higher costs in IPF
hospital-based facilities due to allocation of overhead to the unit or
to differences in case mix or patient severity that is not measurable
using available administrative data). This commenter also acknowledged
that seeking outside input regarding differences in cost structures
between hospital-based and freestanding IPFs is appropriate. However,
the commenter
[[Page 23112]]
recommended that CMS proceed with caution as it may be difficult for
CMS to confirm that the methods used to collect outside data are sound
and that the data are representative of the industry as a whole. The
commenter also stated that CMS should ultimately determine whether the
market basket should in fact be based on the cost structure of
hospital-based and freestanding IPFs (instead of just one type of
facility) if the higher costs cannot be explained by differences in
case mix and other patient characteristics.
Response: Although we asked for outside information to help us
better understand these differences, we agree with the commenter that
any outside information should be carefully examined.
As we have stated, we currently do not feel it is appropriate to
incorporate data from hospital-based IPFs with that of freestanding
IPFs to create a stand-alone IPF market basket given the observed and
unexplained differences in cost structures.
Comment: Several commenters stated that creating a stand-alone IPF
market basket could be a more accurate index for the costs of
delivering care incurred by IPFs. However, the commenters stated that
they did not have any independent data to help CMS in developing a
stand-alone market basket at this time. The commenters suggested that
the issue of a stand-alone IPF market basket continue to be analyzed by
CMS.
Response: We agree with the commenters and plan to continue to
analyze costs and Medicare claims data for hospital-based and
freestanding providers.
Comment: One commenter supports the development of a stand-alone
IPF market basket. However, the commenter encourages CMS to avoid
mixing data from hospital-based and freestanding IPFs. The commenter
claims that hospital-based IPFs incur higher costs than freestanding
IPFs in treating Medicare patients for the following reasons:
The acuity levels and medical needs of psychiatric
patients that present in a hospital's qualified emergency room will
result in higher treatment costs and lengths of stay.
Hospitals provide a greater range of ancillary services.
Some hospitals operate approved psychiatric residency
teaching programs.
Therefore, the commenter is reluctant to support a combined
hospital-based, freestanding IPF market basket at this time. The
commenter also offered to assist CMS with any information he or she can
provide.
Response: We appreciate the commenter's input on possible reasons
why hospital-based IPFs have higher costs than freestanding IPFs. As
stated above, we compared the medical needs of the patients, as
measured by the adjustments for DRG, comorbidities, and age. Our
analysis did show that hospital-based providers, on average, treat more
complex patients; however, the differences in the complexity of the
patients, as well as other facility-based adjustments, did not
adequately explain the differences in total Medicare costs per day
between hospital-based and freestanding providers. In addition, using
both Medicare cost report and claims data, we found that hospital-based
providers, on average, had shorter lengths of stay than freestanding
providers.
Per the commenter's suggestion, and using MCR data, we also
compared the Medicare ancillary costs per day of hospital-based and
freestanding providers. We found that hospital-based facilities, on
average, tend to have higher Medicare ancillary costs per day than
freestanding facilities. The differences were mostly attributable to
higher emergency room and laboratory costs. These higher ancillary
costs accounted for about ten percent of the overall difference between
hospital-based and freestanding providers' total Medicare costs per
day.
In addition, we compared the average approved teaching costs for
hospital-based and freestanding providers. We found that hospital-based
providers have higher teaching-related costs associated with Medicare
approved programs relative to free standing providers; however, the
difference accounted for only three percent of the total difference in
Medicare costs per day for hospital-based and freestanding providers.
Comment: One commenter simply agreed with CMS that before
implementation of a new market basket method, the method should be
fully evaluated and the projected impact known.
Response: We agree with the commenter's suggestion. Before any
implementation, CMS will fully evaluate our methodology to ensure that
any proposed market basket most accurately reflects the cost structures
associated with providing psychiatric care to Medicare patients.
Comment: One commenter does not support the adoption of a stand-
alone IPF market basket at this time, pending further study, as the
commenter is not convinced that CMS has the appropriate level of
psychiatric cost data available to compile an accurate market basket
for IPFs alone. These conclusions were based on the following reasons:
There are a small number of facilities and often limited
data (for example, only 4 percent of IPFs reported contract labor costs
for FY 2002).
Benefits, contract labor, and blood cost weights were
developed using the FY 2002-based IPPS market basket.
Other detailed cost categories were derived from the FY
2002-based IPPS market basket.
No cost data specific to psychiatry (that is, Wages and
Salaries--based on Civilian Hospital Workers).
The commenter stated that without release of both relevant internal
data available only to CMS on the previously mentioned IPF market
basket issues, as well as specific data on the types of cost
differences between the various cost categories of IRF, IPF, and LTCH
facilities, they are unable to comment on an independent IPF market
basket at this time. The commenter believes that more detailed analysis
needs to be conducted and released before they could consider
supporting any change to the current RPL-based market basket update
process.
Response: We are in the process of evaluating multiple years of
data in order to determine whether a stand-alone IPF market basket
would be a more appropriate index for updating IPF PPS payments. We
agree with the commenter that there is a lack of IPF-specific benefit
and contract labor cost data. Currently, benefit and contract labor
cost data are collected on Worksheet S-3, part II of the Medicare cost
report (MCR), but are only required of IPPS hospitals. We proposed
under separate cover to modify the present-day hospital MCR in order to
collect benefit and contract labor data on a separate worksheet
(proposed Worksheet S-3, part V) which would be completed by all
hospitals (https://www.cms.hhs.gov/PaperworkReductionActof1995/PRAL/itemdetail.asp?filterType=none&filterByDID=-99&sortByDID=2&sortOrder=descending&itemID=CMS1224069&intNumPerPage).
We disagree with the commenter that we are not capturing IPF-specific
data for wages and salaries since all hospitals are required to report
this data on the MCRs, which provides the sources of our wages and
salaries cost weight. We believe the commenter may be referencing the
Employment Cost Index (ECI) for wages and salaries for hospital
civilian workers which we use to proxy price changes associated with
the wages and salary cost weight. This proxy is used because the Bureau
of Labor
[[Page 23113]]
Statistics does not publish a wages and salaries price index specific
to IPFs only. However, the ECI for wages and salaries for hospital
civilian workers does include the price changes of IPFs, as well as
other hospital-types (including general surgical hospitals).
IV. Update of the IPF PPS Adjustment Factors
A. Overview of the IPF PPS Adjustment Factors
The IPF PPS payment adjustments were derived from a regression
analysis of 100 percent of the FY 2002 MedPAR data file, which
contained 483,038 cases. For this notice, we used the same results of
the regression analysis used to implement the November 2004 IPF PPS
final rule. For a more detailed description of the data file used for
the regression analysis, see the November 2004 IPF PPS final rule (69
FR 66935 through 66936). While we have since used more recent claims
data to set the fixed dollar loss threshold amount, we use the same
results of this regression analysis to update the IPF PPS for RY 2010
as well as RY 2011.
As previously stated, we do not plan to update the regression
analysis until we are able to analyze IPF PPS claims and cost report
data. However, we continue to monitor claims and payment data
independently from cost report data to assess issues, to determine
whether changes in case-mix or payment shifts have occurred among
freestanding governmental, non-profit and private psychiatric
hospitals, and psychiatric units of general hospitals, and CAHs and
other issues of importance to IPFs.
B. Patient-Level Adjustments
In the May 2008 IPF PPS notice (73 FR 25709) and in the May 2009
IPF PPS notice (74 FR 20362), we provided payment adjustments for the
following patient-level characteristics: Medicare Severity diagnosis
related groups (MS-DRGs) assignment of the patient's principal
diagnosis, selected comorbidities, patient age, and the variable per
diem adjustments.
1. Adjustment for MS-DRG Assignment
The IPF PPS includes payment adjustments for the psychiatric DRG
assigned to the claim based on each patient's principal diagnosis. The
IPF PPS recognizes the MS-DRGs. The DRG adjustment factors were
expressed relative to the most frequently reported psychiatric DRG in
FY 2002, that is, DRG 430 (psychoses). The coefficient values and
adjustment factors were derived from the regression analysis.
In accordance with Sec. 412.27(a), payment under the IPF PPS is
conditioned on IPFs admitting ``only patients whose admission to the
unit is required for active treatment, of an intensity that can be
provided appropriately only in an inpatient hospital setting, of a
psychiatric principal diagnosis that is listed in Chapter Five
(``Mental Disorders'') of the International Classification of Diseases,
Ninth Revision, Clinical Modification (ICD-9-CM)'' or in the Fourth
Edition, Text Revision of the American Psychiatric Association's
Diagnostic and Statistical Manual, (DSM-IV-TR). IPF claims with a
principal diagnosis included in Chapter Five of the ICD-9-CM or the
DSM-IV-TR are paid the Federal per diem base rate under the IPF PPS and
all other applicable adjustments, including any applicable DRG
adjustment. Psychiatric principal diagnoses that do not group to one of
the designated DRGs still receive the Federal per diem base rate and
all other applicable adjustments, but the payment would not include a
DRG adjustment.
The Standards for Electronic Transaction final rule published in
the Federal Register on August 17, 2000 (65 FR 50312), adopted the ICD-
9-CM as the designated code set for reporting diseases, injuries,
impairments, other health related problems, their manifestations, and
causes of injury, disease, impairment, or other health related
problems. Therefore, we use the ICD-9-CM as the designated code set for
the IPF PPS.
We believe that it is important to maintain the same diagnostic
coding and DRG classification for IPFs that are used under the IPPS for
providing the psychiatric care. Therefore, when the IPF PPS was
implemented for cost reporting periods beginning on or after January 1,
2005, we adopted the same diagnostic code set and DRG patient
classification system (that is, the CMS DRGs) that was utilized at the
time under the hospital inpatient prospective payment system (IPPS).
Since the inception of the IPF PPS, the DRGs used as the patient
classification system under the IPF PPS have corresponded exactly with
the CMS DRGs applicable under the IPPS for acute care hospitals.
Every year, changes to the ICD-9-CM coding system are addressed in
the IPPS proposed and final rules. The changes to the codes are
effective October 1 of each year and must be used by acute care
hospitals as well as other providers to report diagnostic and procedure
information. The IPF PPS has always incorporated ICD-9-CM coding
changes made in the annual IPPS update. We publish coding changes in a
Transmittal/Change Request, similar to how coding changes are announced
by the IPPS and LTCH PPS. Those ICD-9-CM coding changes are also
published in the following IPF PPS RY update, in either the IPF PPS
proposed and final rules, or in an IPF PPS update notice.
In the May 2008 IPF PPS notice (73 FR 25714), we discussed CMS'
effort to better recognize resource use and the severity of illness
among patients. CMS adopted the new MS-DRGs for the IPPS in the FY 2008
IPPS final rule with comment period (72 FR 47130). We believe by better
accounting for patients' severity of illness in Medicare payment rates,
the MS-DRGs encourage hospitals to improve their coding and
documentation of patient diagnoses. The MS-DRGs, which are based on the
CMS DRGs, represent a significant increase in the number of DRGs (from
538 to 745, an increase of 207). For a full description of the
development and implementation of the MS-DRGs, see the FY 2008 IPPS
final rule with comment period (72 FR 47141 through 47175).
All of the ICD-9-CM coding changes are reflected in the FY 2010
GROUPER, Version 27.0, effective for IPPS discharges occurring on or
after October 1, 2009 through September 30, 2010. The GROUPER Version
27.0 software package assigns each case to an MS-DRG on the basis of
the diagnosis and procedure codes and demographic information (that is,
age, sex, and discharge status). The Medicare Code Editor (MCE) 26.0
uses the new ICD-9-CM codes to validate coding for IPPS discharges on
or after October 1, 2009. For additional information on the GROUPER
Version 27.0 and MCE 26.0, see Transmittal 1816 (Change Request 6634),
dated October 1, 2009. The IPF PPS has always used the same GROUPER and
Code Editor as the IPPS. Therefore, the ICD-9-CM changes, which were
reflected in the GROUPER Version 27.0 and MCE 26.0 on October 1, 2009,
also became effective for the IPF PPS for discharges occurring on or
after October 1, 2009.
The impact of the new MS-DRGs on the IPF PPS was negligible.
Mapping to the MS-DRGs resulted in the current 17 MS-DRGs, instead of
the original 15 DRGs, for which the IPF PPS provides an adjustment.
Although the code set is updated, the same associated adjustment
factors apply now that have been in place since implementation of the
IPF PPS, with one exception that is unrelated to the update to the
codes. When DRGs 521 and 522 were consolidated into MS-DRG 895, we
carried over the adjustment factor of 1.02 from DRG 521 to the newly
[[Page 23114]]
consolidated MS-DRG. This was done to reflect the higher claims volume
under DRG 521, with more than eight times the number of claims than
billed under DRG 522. The updates are reflected in Table 5. For a
detailed description of the mapping changes from the original DRG
adjustment categories to the current MS-DRG adjustment categories, we
refer readers to the May 2008 IPF PPS notice (73 FR 25714).
The official version of the ICD-9-CM is available on CD-ROM from
the U.S. Government Printing Office. The FY 2009 version can be ordered
by contacting the Superintendent of Documents, U.S. Government Printing
Office, Department 50, Washington, DC 20402-9329, telephone number
(202) 512-1800. Questions concerning the ICD-9-CM should be directed to
Patricia E. Brooks, Co-Chairperson, ICD-9-CM Coordination and
Maintenance Committee, CMS, Center for Medicare Management, Hospital
and Ambulatory Policy Group, Division of Acute Care, Mailstop C4-08-06,
7500 Security Boulevard, Baltimore, Maryland 21244-1850.
Further information concerning the official version of the ICD-9-CM
can be found in the IPPS final rule with comment period, ``Changes to
Hospital Inpatient Prospective Payment System and Fiscal Year 2010
Rates'' in the August 27, 2009 Federal Register (74 FR 43754) and at
https://www.cms.hhs.gov/AcuteInpatientPPS/IPPS/list.asp#TopOfPage.
Tables 3 and 4 below list the FY 2010 new and invalid ICD-9-CM
diagnosis codes that group to one of the 17 MS-DRGs for which the IPF
PPS provides an adjustment. These tables are only a listing of FY 2010
changes and do not reflect all of the currently valid and applicable
ICD-9-CM codes classified in the MS-DRGs. When coded as a principal
code or diagnosis, these codes receive the correlating MS-DRG
adjustment.
Table 3--FY 2010 New Diagnosis Codes
------------------------------------------------------------------------
Diagnosis code Description MS-DRG
------------------------------------------------------------------------
438.13..................... Late effects of 056, 057
cerebrovascular disease,
dysarthria.
438.14..................... Late effects of 056, 057
cerebrovascular disease,
fluency disorder.
799.21..................... Nervousness................ 880
799.22..................... Irritability............... 880
799.23..................... Impulsiveness.............. 882
799.24..................... Emotional lability......... 883
799.25..................... Demoralization and apathy.. 880
799.29..................... Other signs and symptoms 880
involving emotional state.
------------------------------------------------------------------------
Table 4--FY 2010 Invalid Diagnosis Codes
------------------------------------------------------------------------
Diagnosis code Description MS-DRG
------------------------------------------------------------------------
799.2....................... Nervousness................... 880
------------------------------------------------------------------------
We do not plan to update the regression analysis until we are able
to analyze IPF PPS data. The MS-DRG adjustment factors (as shown in
Table 5 below) will continue to be paid for discharges occurring in RY
2011.
Table 5--RY 2011 Current MS-DRGs Applicable for the Principal Diagnosis
Adjustment
------------------------------------------------------------------------
Adjustment
MS-DRG MS-DRG descriptions factor
------------------------------------------------------------------------
056........................ Degenerative nervous system 1.05
disorders w MCC.
057........................ Degenerative nervous system 1.05
disorders w/o MCC.
080........................ Nontraumatic stupor & coma 1.07
w MCC.
081........................ Nontraumatic stupor & coma 1.07
w/o MCC.
876........................ O.R. procedure w principal 1.22
diagnoses of mental
illness.
880........................ Acute adjustment reaction & 1.05
psychosocial dysfunction.
881........................ Depressive neuroses........ 0.99
882........................ Neuroses except depressive. 1.02
883........................ Disorders of personality & 1.02
impulse control.
884........................ Organic disturbances & 1.03
mental retardation.
885........................ Psychoses.................. 1.00
886........................ Behavioral & developmental 0.99
disorders.
887........................ Other mental disorder 0.92
diagnoses.
894........................ Alcohol/drug abuse or 0.97
dependence, left AMA.
895........................ Alcohol/drug abuse or 1.02
dependence w
rehabilitation therapy.
896........................ Alcohol/drug abuse or 0.88
dependence w/o
rehabilitation therapy w
MCC.
897........................ Alcohol/drug abuse or 0.88
dependence w/o
rehabilitation therapy w/o
MCC.
------------------------------------------------------------------------
2. Payment for Comorbid Conditions
The intent of the comorbidity adjustments is to recognize the
increased costs associated with comorbid conditions by providing
additional payments for certain concurrent medical or psychiatric
conditions that are expensive to treat. In the May 2009 IPF PPS notice
(74 FR 20362), we explained that the IPF PPS includes 17 comorbidity
categories and identified the new, revised, and deleted ICD-9-CM
diagnosis codes that generate a comorbid condition payment adjustment
under the IPF PPS for RY 2010 (77 FR 20372).
Comorbidities are specific patient conditions that are secondary to
the patient's principal diagnosis and that require treatment during the
stay.
[[Page 23115]]
Diagnoses that relate to an earlier episode of care and have no bearing
on the current hospital stay are excluded and must not be reported on
IPF claims. Comorbid conditions must exist at the time of admission or
develop subsequently,