Medicare Program; Home Health Prospective Payment System Rate Update for Calendar Year 2012, 68526-68607 [2011-28416]
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Federal Register / Vol. 76, No. 214 / Friday, November 4, 2011 / Rules and Regulations
DEPARTMENT OF HEALTH AND
HUMAN SERVICES
Centers for Medicare & Medicaid
Services
42 CFR Parts 409, 424, and 484
[CMS–1353–F]
RIN 0938–AQ30
Medicare Program; Home Health
Prospective Payment System Rate
Update for Calendar Year 2012
Centers for Medicare &
Medicaid Services (CMS), HHS.
ACTION: Final rule.
AGENCY:
This final rule sets forth
updates to the home health prospective
payment system (HH PPS) rates,
including: the national standardized 60day episode rates; the national per-visit
rates; and the low utilization payment
amount (LUPA) under the Medicare PPS
for home health agencies effective
January 1, 2012. This rule applies a 1.4
percent update factor to the episode
rates, which reflects a 1 percent
reduction applied to the 2.4 percent
market basket update factor, as
mandated by the Affordable Care Act.
This rule also updates the wage index
used under the HH PPS, and further
reduces home health payments to
account for continued nominal growth
in case-mix which is unrelated to
changes in patient health status. This
rule removes two hypertension codes
from the HH PPS case-mix system,
thereby requiring recalibration of the
case-mix weights. In addition, the rule
implements two structural changes
designed to decrease incentives to
upcode and provide unneeded therapy
services. Finally, this rule incorporates
additional flexibility regarding face-toface encounters with providers related
to home health care.
DATES: Effective Date: These regulations
are effective on January 1, 2012.
FOR FURTHER INFORMATION CONTACT:
Elizabeth Goldstein, (410) 786–6665, for
CAHPS issues.
Mary Pratt, (410) 786–6867, for quality
issues.
Randy Throndset, (410) 786–0131
(overall HH PPS).
SUMMARY:
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Table of Contents
I. Background
A. Statutory Background
B. System for Payment of Home Health
Services
C. Updates to the HH PPS
II. Provisions of the Proposed Rule and
Response to Comments
A. Case-Mix Measurement
B. Case-Mix Revision to the Case-Mix
Weights
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1. Hypertension Diagnosis Coding Under
the HH PPS
2. Revision of the Case-Mix Weights
C. Outlier Policy
1. Background
2. Comments and Responses
D. CY 2012 Rate Update
1. Home Health Market Basket Update
2. Home Health Care Quality Reporting
Program
a. Background and Quality Reporting
Requirements
b. OASIS Data
c. Claims Data, Requirements and Outcome
Measure Change
d. Home Health Care CAHPS Survey
(HHCAHPS)
3. Home Health Wage Index
4. CY 2012 Annual Payment Update
a. National Standardized 60-Day Episode
Rate
b. Updated CY 2012 National Standardized
60-Day Episode Payment Rate
c. National Per-Visit Rates Used To Pay
LUPAs and Compute Imputed Costs
Used in Outlier Calculations
d. LUPA Add-On Payment Amount Update
e. Nonroutine Medical Supply Conversion
Factor Update
5. Rural Add-On
E. Therapy Corrections and Clarification
F. Home Health Face-to-Face Encounter
G. Payment Reform: Home Health Study
and Report
H. International Classification of Diseases
10th Edition (ICD–10) Coding
I. Clarification to Benefit Policy Manual
Language on ‘‘Confined to the Home’’
Definition
III. Collection of Information Requirements
IV. Regulatory Impact Analysis
V. Federalism Analysis
Regulations Text
Acronyms
In addition, because of the many
terms to which we refer by abbreviation
in this final rule, the following is an
alphabetical listing of these
abbreviations and their corresponding
terms:
ADL Activities of daily living
APA Administrative Procedures Act
APU Annual payment update
BBA Balanced Budget Act of 1997, Public
Law 105–33
BBRA Medicare, Medicaid, and SCHIP
Balanced Budget Refinement Act of 1999,
Public Law 106–113
CR Cost report
CBSA Core-based statistical area
CBO Congressional Budget Office
CMI Case-mix index
CMS Centers for Medicare and Medicaid
Services
CoPs Conditions of participation
DRA Deficit Reduction Act of 2005, Public
Law 109–171, enacted February 8, 2006
FDL Fixed dollar loss
FI Fiscal intermediaries
FR Federal Register
FY Fiscal year
HCC Hierarchical condition categories
HCIS Health Care Information System
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HHCAHPS Home Health Care Consumer
Assessment of Healthcare Providers and
Systems Survey
HH PPS Home Health Prospective Payment
System
HHAs Home health agencies
HHRG Home health resource group
HIPPS Health Insurance Prospective
Payment System
IRF Inpatient Rehabilitation Facility
LTCH Long-Term Care Hospital
LUPA Low Utilization Payment Amount
MMA Medicare Prescription Drug,
Improvement, and Modernization Act of
2003, Public Law 108–173, enacted
December 8, 2003
MSA Metropolitan statistical area
MSS Medical social services
NAHC National Association for Home Care
and Hospice
NHLBI National Heart Lung and Blood
Institute
NPP Nonphysician practitioner
NRS Non-routine supplies
OBRA Omnibus Reconciliation Act of 1981,
Public Law 97–35, enacted August 13,
1981
OCESAA Omnibus Consolidated and
Emergency Supplemental Appropriations
Act, Public Law 105–277, enacted October
21, 1998
OES Occupational employment statistics
OIG Office of Inspector General
OT Occupational therapy
OMB Office of Management and Budget
PEP Partial episode payment
POC Plan of care
PT Physical therapy
QAP Quality assurance plan
PRRB Provider Reimbursement Review
Board
RAP Request for anticipated payment
RFA Regulatory Flexibility Act, Public Law
96–354
RHHIs Regional Home Health
Intermediaries
RIA Regulatory Impact Analysis
SLP Speech Language Pathology Therapy
SNF Skilled Nursing Facility
UMRA Unfunded Mandates Reform Act of
1995
SUPPLEMENTARY INFORMATION:
I. Background
A. Statutory Background
The Balanced Budget Act of 1997
(BBA) (Pub. L. 105–33, enacted August
5, 1997), significantly changed the way
Medicare pays for Medicare home
health (HH) services. Section 4603 of
the BBA mandated the development of
the home health prospective payment
system (HH PPS). Until the
implementation of a HH PPS on October
1, 2000, home health agencies (HHAs)
received payment under a retrospective
reimbursement system.
Section 4603(a) of the BBA mandated
the development of a HH PPS for all
Medicare-covered HH services provided
under a plan of care (POC) that were
paid on a reasonable cost basis by
adding section 1895 of the Social
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Security Act (the Act), entitled
‘‘Prospective Payment For Home Health
Services’’. Section 1895(b)(1) of the Act
requires the Secretary to establish a HH
PPS for all costs of HH services paid
under Medicare.
Section 1895(b)(3)(A) of the Act
requires the following: (1) The
computation of a standard prospective
payment amount include all costs for
HH services covered and paid for on a
reasonable cost basis and that such
amounts be initially based on the most
recent audited cost report (CR) data
available to the Secretary; and (2) the
standardized prospective payment
amount be adjusted to account for the
effects of case-mix and wage levels
among HHAs.
Section 1895(b)(3)(B) of the Act
addresses the annual update to the
standard prospective payment amounts
by the HH applicable percentage
increase. Section 1895(b)(4) of the Act
governs the payment computation.
Sections 1895(b)(4)(A)(i) and
(b)(4)(A)(ii) of the Act require the
standard prospective payment amount
to be adjusted for case-mix and
geographic differences in wage levels.
Section 1895(b)(4)(B) of the Act requires
the establishment of an appropriate
case-mix change adjustment factor for
significant variation in costs among
different units of services.
Similarly, section 1895(b)(4)(C) of the
Act requires the establishment of wage
adjustment factors that reflect the
relative level of wages, and wage-related
costs applicable to HH services
furnished in a geographic area
compared to the applicable national
average level. Under section
1895(b)(4)(c) of the Act, the wageadjustment factors used by the Secretary
may be the factors used under section
1886(d)(3)(E) of the Act.
Section 1895(b)(5) of the Act gives the
Secretary the option to make additions
or adjustments to the payment amount
otherwise paid in the case of outliers
because of unusual variations in the
type or amount of medically necessary
care. Section 3131(b) of the Patient
Protection and Affordable Care Act of
2010 (the Affordable Care Act) (Pub. L.
111–148, enacted March 23, 2010)
revised section 1895(b)(5) of the Act so
that estimated total outlier payments in
a given fiscal year (FY) or year may not
exceed 2.5 percent of total payments
projected or estimated. The provision
also makes permanent a 10 percent
agency level outlier payment cap.
In accordance with section 4603(a) of
the BBA, we published a final rule in
the July 3, 2000 Federal Register (65 FR
41128) to implement the HH PPS
legislation. The July 2000 final rule
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established requirements for the new
HH PPS for HH services as required by
section 4603 of the BBA, as
subsequently amended by section 5101
of the Omnibus Consolidated and
Emergency Supplemental
Appropriations Act (OCESAA) for Fiscal
Year 1999, (Pub. L. 105–277, enacted
October 21, 1998); and by sections 302,
305, and 306 of the Medicare, Medicaid,
and SCHIP Balanced Budget Refinement
Act (BBRA) of 1999, (Pub. L. 106–113,
enacted November 29, 1999). The
requirements include the
implementation of a HH PPS for HH
services, consolidated billing
requirements, and a number of other
related changes. The HH PPS described
in that rule replaced the retrospective
reasonable cost-based system that was
used by Medicare for the payment of HH
services under Part A and Part B. For a
complete and full description of the HH
PPS as required by the BBA, see the July
2000 HH PPS final rule (65 FR 41128
through 41214).
Section 5201(c) of the Deficit
Reduction Act of 2005 (DRA) (Pub. L.
109–171, enacted February 8, 2006)
added new section 1895(b)(3)(B)(v) to
the Act, requiring HHAs to submit data
for purposes of measuring health care
quality, and links the quality data
submission to the annual applicable
percentage increase. This data
submission requirement is applicable
for CY 2007 and each subsequent year.
If an HHA does not submit quality data,
the HH market basket percentage
increase is reduced 2 percentage points.
In the November 9, 2006 Federal
Register (71 FR 65884, 65935), we
published a final rule to implement the
pay-for-reporting requirement of the
DRA, which was codified at
§ 484.225(h) and (i) in accordance with
the statute.
Section 421(a) of the Medicare
Prescription Drug, Improvement, and
Modernization Act of 2003 (MMA) (Pub.
L. 108–173, enacted December 8, 2003)
provides an increase of 3 percent of the
payment amount otherwise made under
section 1886(d)(2)(D) of the Act for HH
services furnished in a rural area for
episodes and visits ending on or after
April 1, 2010, and before January 1,
2016.
B. System for Payment of Home Health
Services
Generally, Medicare makes payment
under the HH PPS on the basis of a
national standardized 60-day episode
payment rate that is adjusted for the
applicable case-mix and wage index.
The national standardized 60-day
episode rate includes the six HH
disciplines (skilled nursing, HH aide,
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physical therapy, speech-language
pathology, occupational therapy, and
medical social services). Payment for
non-routine medical supplies (NRS), is
no longer part of the national
standardized 60-day episode rate and is
computed by multiplying the relative
weight for a particular NRS severity
level by the NRS conversion factor (See
section II.D.4.e). Payment for durable
medical equipment covered under the
HH benefit is made outside the HH PPS
payment system. To adjust for case-mix,
the HH PPS uses a 153-category casemix classification to assign patients to a
home health resource group (HHRG).
The clinical severity level, functional
severity level, and service utilization are
computed from responses to selected
data elements in the OASIS assessment
instrument and are used to place the
patient in a particular HHRG. Each
HHRG has an associated case-mix
weight which is used in calculating the
payment for an episode.
For episodes with four or fewer visits,
Medicare pays based on a national pervisit rate, adjusted by the discipline(s)
providing the services; an episode
consisting of four or fewer visits within
a 60-day period receives what is referred
to as a low utilization payment
adjustment (LUPA). Medicare also
adjusts the national standardized 60-day
episode payment rate for certain
intervening events that are subject to a
partial episode payment adjustment
(PEP adjustment). For certain cases that
exceed a specific cost threshold, an
outlier adjustment may also be
available.
C. Updates to the HH PPS
As required by section 1895(b)(3)(B)
of the Act, we have historically updated
the HH PPS rates annually in the
Federal Register. The August 29, 2007
final rule with comment period set forth
an update to the 60-day national
episode rates and the national per-visit
rates under the Medicare prospective
payment system for HHAs for CY 2008.
The CY 2008 rule included an analysis
performed on CY 2005 HH claims data,
which indicated a 12.78 percent
increase in the observed case-mix since
2000. The case-mix represented the
variations in conditions of the patient
population served by the HHAs.
Subsequently, a more detailed analysis
was performed on the 12.78 percent
increase in case-mix to evaluate if any
portion of the increase was associated
with a change in the actual clinical
condition of HH patients. We examined
data on demographics, family severity,
and non-HH Part A Medicare
expenditures to predict the average
case-mix weight for 2005. We identified
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8.03 percent of the total case-mix
change as real and decreased the 12.78
percent of total case-mix change by 8.03
percent to get a final nominal case-mix
increase measure of 11.75 percent
(0.1278 * (1¥0.0803) = 0.1175).
To account for the changes in casemix that were not related to an
underlying change in patient health
status, we implemented a reduction
over 4 years in the national
standardized 60-day episode payment
rates and the NRS conversion factor.
That reduction was to be 2.75 percent
per year for 3 years beginning in CY
2008 and 2.71 percent for the fourth
year in CY 2011.
For CY 2011, we published the
November 17, 2010 final rule (75 FR
70372) (hereinafter referred to as the CY
2011 HH PPS final rule) that set forth
the update to the 60-day national
episode rates and the national per-visit
rates under the Medicare prospective
payment system for HH services.
As discussed in the CY 2011 HH PPS
final rule, our analysis indicated that
there was a 19.40 percent increase in
overall case-mix from 2000 to 2008 and
that only 10.07 percent of that overall
observed case-mix percentage increase
was due to real case-mix change. As a
result of our analysis, we identified a
17.45 percent nominal increase in casemix. To fully account for the 17.45
percent nominal case-mix growth which
was identified from 2000 to 2008, we
proposed 3.79 percent payment
reductions in both CY 2011 and CY
2012. However, we deferred finalizing a
payment reduction for CY 2012 until a
further study of the case-mix data was
completed. Independent review of the
case-mix model has been conducted and
the results were discussed in section
II.A. of the proposed rule, which was
issued on July 12, 2011 (76 FR 40988).
II. Provisions of the Proposed Rule and
Response to Comments
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A. Case-Mix Measurement
As stated in the proposed rule issued
in the July 12, 2011 Federal Register,
every year, since the HH PPS CY 2008
proposed rule, we have stated in HH
PPS rulemaking that we would continue
to monitor case-mix changes in the HH
PPS and to update our analysis to
measure change in case-mix, both real
changes in case-mix and changes which
are unrelated to changes in patient
acuity (nominal). We have continued to
monitor case-mix changes and our latest
analysis continues to support the need
to make payment adjustments to
account for nominal case-mix growth.
In the CY 2012 HH PPS proposed rule
(76 FR 40991), we also stated that in
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response to comments we received on
our case-mix measurement methodology
during CY 2011 rulemaking, we
procured an independent review of our
methodology by a team at Harvard
University led by Dr. David Grabowski.
The review included an examination of
the predictive regression models and
data used in CY 2011 rulemaking, and
further analysis consisting of extensions
of the model to allow a closer look at
nominal case-mix growth by
categorizing the growth according to
provider types and subgroups of
patients. The extensions showed a
similar rate of nominal case-mix growth
from 2000 to 2008 for the various
categories and subgroups. In addition,
when reviewing the model, the Harvard
team found that overall, our models are
robust. However, one area of potential
refinement to our models that the
Harvard team suggested was to
incorporate variables derived from
Hierarchical Condition Categories (HCC)
data, which is used by CMS to riskadjust payments to managed care
organizations in the Medicare program.
Based on Dr. Grabowski and his
team’s recommendation and our
previous consideration to incorporate
HCC data in our models to assess real
case-mix change, we decided to explore
the effects of adding HCC patient
classification data into our models. For
our analysis of real and nominal casemix growth from 2000 to 2009, we
incorporated the HCC community
scores, HCC demographic variables, and
disease indicator variables into our
models.
In addition, for our analysis, we used
a similar approach to our previous
methods. The basic method is to
estimate a prediction model and use
coefficients from that model along with
predictor variables from a different year
to predict the average case-mix for that
year. It should be noted that we chose
to enhance our models with HCC data
starting in 2005 due to the availability
of HCC data in our analytic files.
Therefore, we analyzed real case-mix
change for 3 different periods, from
2000 to 2005, from 2005 to 2007, and
from 2007 to 2009. The real case-mix
change from 2000 to 2005 was assessed
using the same variables used in the
model described in last year’s regulation
(75 FR 43238). The real case-mix change
from 2005 to 2007 and from 2007 to
2009 was assessed using additional
information from the HCC variables. To
determine the amount of real and
nominal case-mix change from 2000 to
2009, we added the change in case-mix
units for each of the 3 periods and
compared it to the total change in casemix from 2000 to 2009. Based on the
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results from our models, we estimated
15.76 percent of the total case-mix
change as real. When taking into
account the total case-mix change from
2000 to 2009 (22.59 percent) and the
15.76 percent of total case-mix change
estimated as real from 2000 to 2009, we
obtained a final nominal case-mix
change measure of 19.03 percent from
2000 to 2009 (0.2259 * (1¥0.1576) =
0.1903).
In each of the years 2008, 2009, and
2010, we reduced payment rates by 2.75
percent and in 2011 we reduced
payment rates by 3.79 percent to
account for nominal case-mix change
from 2000. In the proposed rule, we
stated that a payment reduction of 5.06
percent would be needed to account for
the outstanding amount of nominal
case-mix change we estimated based on
the real case-mix change analysis
updated through 2009 and we proposed
to implement a 5.06 percent reduction
to the national standardized 60-day
episode rates to account for the entire
residual amount of nominal case-mix
change through 2009 in one year.
The following is a summary of the
comments we received regarding the
case-mix measurement proposal.
Comment: Some commenters stated
that CMS should not implement an
across-the-board punishment but rather
target the agencies that have high
nominal case-mix growth. Other
commenters stated that all home health
providers should not be punished for
the actions of the few. Many
commenters indicated that their agency
had case-mix weights below the
national average and some commenters
stated that there has been a decline in
their case-mix over the years.
Commenters suggested that CMS limit
the case-mix reductions to certain
agencies and only apply the reduction
to agencies whose average case-mix
weight reflects high nominal case-mix
growth.
Response: For a variety of reasons, as
we have noted in previous regulations,
we have not proposed targeted
reductions for nominal case-mix change.
We have not conducted analysis of how
and whether individual agencies’
coding practices have changed over
time, because this is not feasible. One
reason is that many agencies have small
patient populations, which would make
it practically impossible to measure
nominal case-mix change reliably.
Another reason is that we believe
changes and improvements in coding
have been widespread, so that such
targeting would likely not separate
agencies clearly into high and low
coding-change groups. When
performing an independent review of
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our case-mix measurement
methodology, Dr. Grabowski and his
team at Harvard University agreed with
our reasons for not proposing targeted
reductions, stating their concerns about
the small sample size of many agencies
and their findings of significant nominal
case-mix across different classes of
agencies (please see the report located at
https://www.cms.gov/center/hha.asp).
We note that although we have stated
in past regulations that a targeted
system would be administratively
burdensome, the reasons we have just
presented go beyond administrative
complexity. Certain comments seem to
assume that the level of case-mix can
precisely identify those agencies
practicing abusive coding. We do not
agree with the comments which seem to
assume that agency-specific case-mix
levels can precisely differentiate
agencies practicing abusive coding from
others. System wide, case-mix levels
have risen over time while patient
characteristics data indicate little
change in patient severity over time.
That is, the main problem is not the
level of case-mix reached over a period
of time, but the amount of change in the
billed case-mix weights not attributable
to underlying changes in actual patient
severity.
In addition, in this final rule, we are
finalizing a revision to the case-mix
weights. As described in Section II.B.,
we are removing two hypertension
codes from our case-mix system which
are not associated with additional
resource use and we are reducing
weights for episodes with high therapy
while increasing weights for episodes
with no or low therapy. This revision to
the case-mix weights should slow future
nominal case-mix growth and provide a
more targeted approach for addressing
overpayment of services, while also
improving the accuracy of the HH PPS.
Comment: Some commenters stated
that the payment cuts will make it
difficult for small agencies to exist,
leaving a market that will only be made
up of large for-profit agencies. Other
commenters stated that from 2000 to
2008, for-profit and free-standing
agencies saw their nominal case-mix
grow by approximately 3.5 percent to
4.0 percent more than non-profit,
government-owned and facility-based
agencies. Commenters attributed the
difference in nominal case-mix growth
to the idea that for-profit agencies ‘‘pick
and choose’’ their patients while nonprofit and government agencies tend to
serve all patients needing home health
care. Commenters requested that CMS
either forego the proposed 5.06 percent
adjustment or implement a two-tiered
adjustment factor, with a much lower
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payment reduction factor for non-profit,
government-owned and facility-based
agencies.
Response: When looking at the casemix growth by agency type, our data
shows high case-mix growth across all
agency types. While for-profit agencies’
case-mix grew approximately 22.7
percent, the case-mix average for nonprofit agencies and government agencies
also grew considerably (17.8 percent
and 17.5 percent). In addition, agencies
with less than 99 episodes had a casemix growth of 20.1 percent from 2000 to
2009 and agencies with 100 or more
episodes had a case-mix growth of 24.8
percent from 2000 to 2009. These
differences are not large enough to
warrant a tiered approach. We believe
our proposal to make across the board
payment reductions is consistent with
the data, and making distinctions by
type of agency would be inappropriate.
In addition, we acknowledge that our
analyses and the analysis conducted by
the Harvard team revealed a difference
in nominal case-mix growth between
for-profit agencies and non-profit/
government agencies, as cited by the
commenter. However, all categories
exhibited a large amount of nominal
case-mix growth, and differences among
categories were not large enough to
warrant a tiered approach. In view of
that fact, making separate adjustments
according to ownership category is
inadvisable because of concerns about
equity and administrative feasibility.
We will continue to analyze the HH PPS
to determine where it may inadvertently
incentivize the sort of selective
admissions which a commenter
described and we will continue to
analyze how we can strengthen the HH
PPS to increase payment accuracy while
mitigating risks which would
incentivize such selective admissions.
Comment: Commenters stated that we
should suspend or drop case-mix
adjustments because they will cause
financial distress/bankruptcy among
agencies, particularly ‘‘safety-net’’
agencies that take patients other
agencies reject. Commenters further
stated that the proposed payment
reductions will cause ‘‘safety net’’
providers to have a ‘‘negative operating
margin’’ and/or cause not-for-profit
agencies to go out of business.
Response: Identifying the agencies
that commenters call ‘‘safety-net’’
agencies is not feasible with our
administrative data, so we cannot
provide any evidence either to support
or refute assertions that safety-net
agencies are at greatest risk. Our
analysis of margins of not-for-profit
agencies shows that they tend to have
lower margins than for-profit agencies.
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68529
However, we do not agree that not-forprofit agencies will necessarily be more
likely to exit the home health business
than a for-profit agency. We believe the
business decision is a complex one with
many considerations, such as the
organization’s mission, the availability
of alternate sources of funding, and
whether or not the organization is
embedded in a larger one. These
influential factors are not necessarily
associated with the non-profit or forprofit status of an agency, and therefore,
we cannot accurately predict the
business decision of an agency based
solely on their status. In addition, we
refer the commenters to section IV
where we describe the impact of the
provisions of this rule, including the
revision of the case-mix weights.
Section IV shows that when taking into
account all of the provisions in this final
rule, non-profit providers should
experience less of a negative impact
than for-profit providers. Also, in
section IV, we describe our rationale
why we believe access to Medicare
home health will not be adversely
affected by our policies, including the
payment reductions.
Comment: Commenters stated that by
implementing an across the board
payment cut, agencies who have been
more profitable may survive while
agencies that have smaller margins may
fail, thus potentially preserving those
who may be committing abuse.
Response: Existing information about
Medicare margins and the CR data we
have analyzed suggest that most
agencies will continue to have positive
margins on their Medicare business.
With our revisions to the case-mix
weights, we expect the weight
adjustments will reduce the incentive to
provide more therapy than is clinically
indicated. To the extent that profits are
based on abusive behavior, we believe
these changes will mitigate the risks of
abusive behavior. We also believe the
changes will result in more equitable
revenues and profits.
Comment: Commenters stated that
they believe that the case-mix
measurement methodology takes on the
approach that all case-mix change is
nominal unless it can be proved
otherwise.
Response: The evidence for nominal
case-mix change is based on the small
amount of change in patients’
characteristics generally, as measured
by patient demographics and
information from the National Claims
History on home health patients. We
summarized the change in patients’
characteristics in terms of the impact on
the average case-mix weight. In this
analysis, the remainder of the change in
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average case-mix weights is
unexplained, and it is generally
believed that coding change is
responsible. Our method to assess real
and nominal case-mix change is the
most effective method available to us at
this time. We remind the commenter
that we have presented various types of
other data in previous rulemaking
consistent with the model-based
evidence indicating that home health
care patients have not changed much
since the last 12 months of the Interim
Payment System.
Comment: A commenter suggested
that CMS ‘‘adjust out all data from
active and closed settlement actions’’ in
their measurement of real and nominal
case-mix growth.
Response: We are unclear what the
commenter is suggesting. As we have
noted previously, nominal case-mix
growth is an across the board issue. If
the commenter is referring to
recoupments which correspond to
claims denied after they were reviewed,
such would typically be reflected in the
claims data we use in our case mix
analysis. In the case where a paid-claim
dispute is still active, this data would
likely not have much effect on our
determination of nominal case-mix
growth.
Comment: Commenters requested that
CMS increase its program integrity
efforts to combat fraud, waste, and
abuse. Other commenters stated that
instead of implementing a payment
reduction, CMS should audit agencies
that appear to be manipulating the casemix system. Commenters stated that we
should eliminate the proposed payment
reductions and rather ‘‘conduct targeted
claims review and deny payment for
claims where the case-mix weight is not
supported by the plan of care.’’
Response: We have taken various
measures to reduce payment
vulnerabilities and the Federal
government has launched actions to
directly identify fraudulent and abusive
activities. Commenters should be aware
of tip lines available that can help
support investigative efforts of the
Federal government. The Office of the
Inspector General, Department of Health
and Human Services Web site at
https://oig.hhs.gov/fraud/report-fraud/
index.asp, provides information about
how to report fraud. Another Web site,
https://www.stopmedicarefraud.gov/
index.html, is oriented to Medicare
patients and their families and provides
information about recognizing fraud.
In addition, while we appreciate the
commenters’ suggestion about the
targeted claims review, we cannot
perform targeted claim review as
suggested, because our resources are not
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sufficient to conduct claims review on
a scale that would be required to
counteract the broad-based uptrend in
case-mix weights.
Comment: A commenter stated that if
the payment reduction is implemented,
the base rate will be less than at the start
of the HH PPS.
Response: When assessing the impact
of the payment reductions, one must
also consider the effects of the case-mix
weights. Section 1895(b)(3)(B)(iv) of the
Act requires that payment adjustments
in response to nominal case-mix change
be made to the rates. As such, we must
reduce the base rate to account for
growth in nominal case-mix. However,
we note that we have not reduced the
average case-mix weight and the average
case-mix weight has increased since the
beginning of the HH PPS. Therefore,
even with the payment reductions to
account for nominal case-mix growth
since the beginning of the HH PPS, the
average payment is projected to be
higher for CY 2012 than the average
payment at the beginning of the HH
PPS.
Comment: Commenters mentioned
the Affordable Care Act study which is
investigating access to care issues and
stated that the payment cuts will only
further exacerbate access to care issues
for vulnerable populations.
Response: We appreciate the
commenter’s concerns and wish to note
that our preliminary analysis suggests
that vulnerable populations are
associated with case-mix groups
involving lower levels of therapy, and
that we have adjusted weights upward
for those lower-therapy case-mix
groups. For example, whereas the
average number of therapy visits for first
episodes overall is 8.2 in 2009, the
average for vulnerable groups in various
classifications (for example, highpoverty counties or rural areas) ranged
between 7.0 and 7.8. The impact
analysis of this rule indicates that rural
agencies will experience a smaller
reduction overall than urban agencies.
We note that rural agencies will
continue to receive a 3 percent payment
add-on in CY 2012. We anticipate that
these aspects of the payment proposals
will mitigate the risk of access issues.
We also wish to report that the
Affordable Care Act study is proceeding
as planned. It will involve additional
data gathering on vulnerable
populations and on potential access
problems that vulnerable beneficiaries
may encounter in coming years. We will
continue to monitor for unintended
consequences and we will seek
information from other government
agencies, such as the Office of the
Inspector General, on access. Finally,
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we will use Open Door Forums and
other venues to solicit information from
agencies on any actual access issues
they witness.
Comment: Commenters stated that the
payment cuts will limit access to care
and hinder the effort to move to more
community-based care.
Response: We do not believe this will
be the case because payment will
remain adequate. Medicare has
implemented policies to support
community-based care in other areas,
such as hospital-readmissions and
transition programs authorized by the
Affordable Care Act. We encourage
HHAs to partner with providers in their
community to become a part of these
efforts, thereby assisting in the
movement to more community-based
care.
Comment: Commenters also thought
that the payment reductions would
lower quality of care.
Response: Commenters did not
provide specific information about why
they believe payment reductions would
lower quality of care. Our simulation of
margins under the payment policies in
this rule suggests that margins will
remain adequate, and thereby support
current levels of quality. We also believe
that policymaking in the quality
improvement area should help to ensure
quality advances. OASIS–C outcome
reports and CAHPS data are two
important recent developments that we
anticipate will support high-quality
services. Over time, value-based
purchasing policies will be developed,
further enhancing quality-related
incentives. We encourage agencies to
work to their full professional potential
to deliver a high standard of care to
their patients.
Comment: Commenters were
concerned that the proposed cuts would
impede access to home health care
because many agencies would be forced
to close as a result of the lower
payments. Commenters stated that if the
proposed cuts are implemented, many
providers will be operating at a negative
or zero margins. A commenter stated
that the reduction to payment rates
along with other cuts mandated by the
Affordable Care Act would cause over
half of HHAs to be paid less than the
cost of care to Medicare patients. This
commenter provided a chart which
forecasts 2012 profit margins for each
State should the proposed 5.06 percent
reduction to payments be finalized. The
commenter further described that six
States and Guam would have more than
70 percent of their agencies with
negative margins in CY 2012 as a result
of the reduction. Specifically, the
commenter described the States and the
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the combined effects of all of the
policies proposed and believe that a
5.06 percent reduction would not
impede access to care. We believe that
the margin analysis study submitted by
one of the commenters, which projected
the impact of the proposed policies on
HHAs on a State-by-State basis, failed to
take into account the effects of all of the
policies in the rule. The payment
reduction to the base rate is not the only
policy affecting payment to HHAs
described in the proposed rule. The
effects of the payment update, wage
index update and revision of case-mix
weights also need to be taken into
account when assessing the impact of
the proposed provisions. We also
believe that the commenter may have
attempted to factor potential future
reductions to HH PPS payments into the
2012 margin forecast. While the
Affordable Care Act calls for CMS to
rebase home health payments beginning
in 2014 and apply a productivity
adjustment to the yearly inflation
increases beginning in 2015, the impact
of these provisions would be impossible
to accurately project at this time.
Additionally, provisions that are
targeted for implementation in 2014 and
later would have no effect on CY 2012
provider margins. The following
discussion describes the impact if we
were to implement a 5.06 percent
payment reduction in CY 2012, taking
into account all of the policies in the
rule. In the aggregate, HHAs would
receive 3.52 percent less in payments in
CY 2012 when compared to CY 2011
payments, reflecting the net effect of a
1.4 percent HH PPS payment update
increase, a 0.03 percent payment
increase resulting from the wage index
update, and a 5.06 percent reduction in
payments to account for nominal case-
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mix growth. We note that not all
providers would experience a net 3.52
percent reduction in their payments if a
5.06 percent reduction in payments was
finalized for CY 2012. As we described
in the proposed rule and describe in this
final rule, the revision of the case-mix
weights would have a re-distributional
effect which benefits rural and nonprofit providers, and providers in
certain areas of the country. For
example, in aggregate, if a 5.06 percent
reduction in payments was
implemented for CY 2012, non-profit
free-standing providers would
experience an estimated 0.91 percent
reduction and for-profit free-standing
providers would experience an
estimated 4.72 percent reduction in
payments. Rural providers would fare
better than urban providers, as rural
non-profit freestanding providers would
see an estimated 0.31 percent increase
in payments. In response to the
commenter who was concerned about
providers in the Northeast, we note that
New England providers are in an area of
the country which would benefit from
the re-distributional effects of the
recalibration. On average, New England
providers would experience an increase
in payments in CY 2012.
We note that of the six States which
the commenter contends would have 70
percent or more providers experiencing
negative margins as a result of the
payment reductions, five are in areas of
the country which would benefit from
the re-distributional effect of the casemix weight revisions. In Table 1, we
provide the estimated impact if we were
to finalize a 5.06 percent payment
reduction with the other policies in this
final rule for purposes of addressing this
comment.
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corresponding percent of HHAs which
would be forced into negative margins
as: Alaska 80 percent; Idaho 76.9
percent; North Dakota 91.7 percent;
Oregon 96.2 percent; Vermont 70
percent; and Wisconsin 74.5 percent.
Other commenters stated that the
payment reductions place more of a
hardship on certain providers. The
commenters stated that rural locations
would be hit the hardest. Commenters
also stated that if the proposed cuts take
place, over 45 percent of Minnesota
providers will be operating at a zero or
negative margin in 2012 and nearly 60
percent in 2017. Other commenters
stated that the Northeast has a
significantly lower rate of increase in
case-mix growth than any other region.
Commenters stated that the payment
reductions will differentially impact
different regions of the country and
urged CMS to do a State-by-State
analysis.
Response: As we have noted in prior
rules, we believe that a policy of varying
payment levels according to regional
differences in nominal case-mix change
would be perceived as inequitable by
beneficiaries. That is, beneficiaries who
might have access only to agencies
subject to larger payment reductions
might believe Medicare’s policies
disadvantage them unfairly.
Regarding the commenters’ concerns
about the effect of the proposed
reductions on providers’ viability and
the resultant access risks, we note that
in their March 2011 Report to Congress,
MedPAC projected an average of 14.5
percent margins for HHAs in 2011,
when taking into account various
payment adjustments such as the CY
2011 payment reduction for nominal
case-mix growth. We also note that in
proposing the reductions, we analyzed
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As shown in Table 1, the net effect of
a 5.06 percent payment reduction with
all of the other provisions of the rule is
that providers from North Dakota,
Oregon, and Vermont on average would
experience an estimated increase in
payments in CY 2012 of 2.73 percent,
0.19 percent and 1.45 percent
respectively, instead of the national
average, a 3.52 percent reduction in
payments. Furthermore, the net effect of
a 5.06 percent payment reduction with
all of the other provisions of the rule is
that providers from Guam on average
would experience an estimated increase
in payments in CY 2012 of 0.11 percent.
In addition, the net effect of a 5.06
percent payment reduction with all of
the other provisions of the rule is that
Alaska providers and Wisconsin
providers in the aggregate would
experience an estimated reduction in
payments in CY 2012 of 0.81 percent
and 2.68 percent respectively, instead of
the national average, a 3.52 percent
reduction in payments.
Table 1 shows that if we were to
finalize a 5.06 percent payment
reduction, Idaho would experience an
estimated 4.54 percent reduction in
payments in CY 2012, instead of the
national average, a 3.52 percent
reduction in payments. However, the
non-profit providers and the rural
providers in Idaho would experience an
estimated reduction in payments in CY
2012 of 1.37 percent and 2.06 percent
respectively. Regarding the commenters
who expressed concern that a provider
association reported that close to half of
Minnesota providers would experience
negative margins as a result of the
proposed payment reductions, we
disagree with the provider association’s
conclusion. The net effect of a 5.06
percent payment reduction with all of
the other provisions in the rule is that
Minnesota providers, on average, would
experience an estimated 1.19 percent
reduction in payments in CY 2012,
instead of the national average, a 3.52
percent reduction in payments.
Furthermore, preliminary 2009 CR
analysis along with MedPAC’s projected
margin analysis for 2011 suggest that
providers in these States have margins
which are strong enough to absorb the
proposed 5.06 percent payment
reduction.
As stated above, we have concerns
and questions about the commenter’s
analyses. Specifically, we believe the
commenter may have not taken into
consideration all of the provisions of
this rule and also may have included in
the analyses potential future reductions
to HH PPS payments into the 2012
margin forecast (which are not
applicable to 2012), and therefore,
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overestimated the negative impact on
providers. We would like to note that
industry margins have remained in the
mid-double digits in recent years, even
in those years in which we
implemented similar net payment
reductions. We also note that in this
final rule, as we describe in detail in the
following response to a comment, we
are implementing the payment
reduction over 2 years, rather than the
1 year we originally proposed. We refer
the commenters to Section IV for the
impacts of the policies we are finalizing
in this rule.
In addition, regarding the
commenter’s suggestion that we provide
State-level impacts which reflect the
provisions of the rule, we again refer the
commenter to Section IV of this final
rule where we describe our State-level
analysis for the policies we are
finalizing in this final rule. As we
described in section IV, we believe that
State-level impacts would be misleading
unless we also provided breakouts of
rural-verses-urban and ownership status
of providers within the State.
Comment: Commenters described the
burden which they have experienced as
a result of recent regulatory and
legislative changes. Specifically,
commenters described the financial
burdens surrounding the Affordable
Care Act face-to-face encounter mandate
imposed on HHAs and physicians. The
commenters stated that HHAs and
physicians have needed to hire
additional staff to track the face-to-face
paperwork. Additionally, commenters
noted that the staff time spent tracking,
sending, and routing the required
documentation, as well as tracking
appointments has also been costly for
HHAs to absorb. In addition,
commenters described administrative
burdens associated with the CY 2011
therapy provision which requires a
qualified therapist, instead of a therapy
assistant, to perform the needed therapy
service, as well as assess, measure, and
document the effectiveness of the
therapy, at key points during a course of
therapy treatment. Another commenter
stated that payment cuts detract from
agencies’ ability to attract competent
staff. Other commenters stated that CMS
should limit any single-year rate
reductions to no greater than a
combined 2.5 percent. Some
commenters suggested CMS phase-in
the proposed 5.06 percent adjustment
over a 2- to 3-year period. Commenters
stated that a 5.06 percent rate reduction
is the largest ever imposed in a single
year by CMS and stated that the pay cut
would have a significant impact as
earlier payment cuts have decreased
provider margins. Another commenter
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was concerned that the home health
community would not be able to absorb
the cumulative effect of recent
legislative and regulatory reductions.
Response: Our simulation analysis
described in Section II.B, which takes
into account all of the proposed policies
for 2012 (such as a 5.06 percent
payment reduction and the revision of
the case-mix weights), projects that
payment will exceed costs for all
episodes, except for episodes with 20+
therapy visits, of which more than 60
percent would have payment that
exceeds their costs. We reiterate that
about 6 percent of episodes nationally
in 2009 had 20 or more therapy visits.
Therefore, we believe that the payment
cuts will not detract from agencies’
ability to attract staff. We also believe
the payments in excess of estimated
costs will allow agencies to adapt to
recent legislative and regulatory
requirements. However, we are sensitive
to the challenges HHAs may have had
in adapting to the Affordable Care Act
provisions which were implemented in
CY 2011, such as the face-to-face
encounter provision. We also agree that
the Affordable Care Act provisions and
the CY 2011 therapy changes described
by commenters likely required HHAs to
incorporate process changes to adhere to
these new requirements. As such, we
are finalizing a phased-in
implementation of a 5.06 percent
reduction over 2 years, as some
commenters suggested. We believe that
by phasing-in the reductions over CY
2012 and CY 2013, we allow HHAs an
opportunity to adopt process
efficiencies associated with the CY 2011
mandates prior to imposing the full 5.06
percent payment reduction.
In CY 2011 rulemaking, we proposed
to apply a 3.79 percent reduction to
payments in CY 2011 and an additional
3.79 percent reduction in CY 2012 to
account for nominal case-mix growth
we identified through CY 2008.
However, we deferred finalizing the CY
2012 reduction pending an independent
review of our method for identifying
real case-mix growth. (That independent
review has been completed, as we
reported in the CY 2012 HH PPS
proposed rule.) Because we believe that
providers likely expected and planned
for us to impose a 3.79 percent payment
reduction in CY 2012, we are finalizing
a 3.79 percent reduction in CY 2012 and
a 1.32 percent reduction for CY 2013.
These reductions enable us to account
for the nominal case-mix which we have
identified through CY 2009, to follow
through with the planned 3.79 percent
reduction for CY2012, and to allow for
HHAs’ adopting process efficiencies
during CY 2012.
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Comment: Commenters stated that
HHAs should be allowed to test the
impact of the rate changes using 2011
data.
Response: Given the fact that we
currently are in CY 2011, there is not a
full year of data from 2011 and we
caution HHAs when using a partial
year’s data in their analysis. In addition,
due to the lag in receiving claims, we
did not have full data from 2010 when
developing the impacts for the CY 2011
HH PPS proposed rule. Therefore, the
data used to develop the impacts of our
proposed policies are from 2009. We
plan to continue to assess the impacts
of our policies once new complete data
are available. HHAs are welcome to test
the impacts of the rate changes on their
data; however, when predicting the
impacts, it should be noted that all of
the policies in the rule should be taken
into account (such as the wage index,
rural add-on, and the revision of the
case-mix weights, and the payment
reduction).
Comment: Commenters stated that the
rate reductions may adversely affect
hospital-based HHAs. They stated that
hospital-based HHAs represent 80.9
percent of all providers nationwide with
margins below zero and that the
Medicare margins which MedPAC
presents, only represents freestanding
agencies and that hospital-based
agencies have lower, negative margins.
Commenters stated that hospital-based
home care agencies are currently
underpaid.
Response: Medicare CR data for
hospital-based HHAs does indicate that
Medicare margins are lower than those
of freestanding HHAs. However,
hospital-based HHAs do not account for
most of home health care, and there are
data issues hindering understanding of
hospital-based HHAs’ financial status.
As stated in their March 2011 Report to
Congress, MedPAC focuses on
freestanding agencies because they are
the majority of providers and because
their costs do not reflect the sort of
allocation of overhead costs seen in
facility-based providers’ Medicare CRs
(MCR), such as hospital-based HHA
MCRs. They explain that in the case of
hospitals, which often provide services
that are paid for by multiple Medicare
payment systems, measures of payments
and costs for an individual sector could
become distorted because of the
allocation of overhead costs or
complementarities of services. Another
consideration is that Medicare’s
payment policies should cover the costs
of efficient providers. Therefore, given
that the payment system is prospective
and not based on a provider’s
reasonable costs, we have reason to
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question whether the problem, as stated
by the commenter, is that hospital-based
agencies are underpaid.
Comment: Commenters stated that for
those providers who do survive, the cuts
will hinder their ability to enhance
technology and move to electronic
health records.
Response: A reduction in margins as
a result of our payment changes may
have an effect on the availability of
resources for various types of
investments. However, our analysis
indicates that payments will be more
than adequate under our payment
changes and would still allow for
investments. We do not have sufficient
data to evaluate the effect on
technology-specific investments from
the unusually large margins that have
been in existence under the HH PPS, but
we welcome information about whether
the numerous agencies that operated
with high margins under the HH PPS
made investments during those years,
and the nature of those investments.
Comment: Other commenters stated
that CMS should suspend further
nominal case-mix adjustments until the
rebasing of the HH PPS system required
by the Affordable Care Act. A
commenter stated that CMS should
study the factors driving case-mix
growth and analyze the differences in
growth by provider characteristics.
Response: We are finalizing payment
reductions intended to account for
overpayments that were made because
of nominal case-mix growth. Since our
analysis indicates that margins will
remain adequate, and since our analysis
of rebasing is still in process, we see no
reason to defer nominal case-mix
adjustments in this rule. We agree that
more data could be useful in
understanding case-mix change, and we
will continue to solicit suggestions for
reliable data that can be incorporated in
our studies.
Comment: Commenters urged CMS to
commission studies to more accurately
estimate real and nominal case weight
changes and to help refine the case-mix
to more closely align reimbursement
with costs and eliminate incentives.
Commenters stated that CMS should
work on implementing a proper casemix adjuster which accurately pays for
all home health services before
implementing a payment reduction.
Response: The home health study
under section 3131(d) of the Affordable
Care Act allows CMS to not only look
at access for vulnerable populations, but
also look at other issues with the
payment system and payment
vulnerabilities. In this study, we plan to
examine issues surrounding nominal
case-mix growth and ways to better
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align payment with patient needs. The
Report to Congress describing the
findings of our study is projected to be
available March 1, 2014. In the
meantime, while examining ways to
better improve the case-mix system, we
believe that we need to address previous
nominal case-mix growth, and therefore,
we plan to implement payment
reductions.
Comment: A commenter
recommended that CMS seek payment
system reforms that are value-based
rather than implementing payment
reductions. The commenter noted that
CMS should factor in the quality of care
before implementing payment
reductions.
Response: Medicare’s value-based
purchasing initiatives in home health
will build upon current efforts in this
area, including Outcome-Based Quality
Improvement and CAHPS, and the
Value-based Purchasing demonstration.
As we develop and refine measures, and
incorporate them in payment policies,
we will involve stakeholders. Further
developing value-based purchasing will
take time, but commenters should be
assured that it is an important goal for
Medicare. However, we cannot ignore
nominal case-mix growth in the interim
and we believe we need to account for
nominal case-mix growth through 2009.
Comment: A commenter stated that
the proposed payment cuts along with
the proposed case-mix weight changes
will hinder agencies ability to calculate
their payment.
Response: We note that we are not
making significant, structural changes to
our case-mix system. We are only
revising the case-mix weights. Also, we
plan to implement a payment reduction
similar to previous payment reductions
and have described the base rate
payment in the Regulatory Impact
Analysis in Section IV of this final rule.
Therefore, we do not believe that the
proposed policies will hinder agencies’
ability to calculate their payment.
Comment: Commenters stated that all
of the payment adjustments are based
on a false assumption that clinicians
and agencies have gamed the system.
Response: As we have stated in
previous regulations, changes and
improvements in coding are important
in bringing about nominal coding
change. We believe nominal coding
change results mostly from changed
coding practices, including improved
understanding of the ICD–9 coding
system, more comprehensive coding,
changes in the interpretation of various
items on the OASIS and in formal
OASIS definitions, and other evolving
measurement issues. Our view of the
causes of nominal coding change does
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not emphasize the idea that HHAs or
clinicians in general gamed the system.
However, since our goal is to pay
increased costs associated with real
changes in patient severity, and nominal
coding change does not demonstrate
that underlying changes in patient
severity occurred, we believe it is
necessary to exclude nominal case-mix
effects that cannot be shown to be
related to changes in patient severity.
Comment: Commenters stated that
CMS penalizes providers for improved
accuracy in patient assessment and
coding. The commenters contributed the
increase in case-mix to increased
accuracy of OASIS answers and
increased coding accuracy as a result of
training of their staff and/or the use of
certified and trained coders.
Response: Comments referencing
coding improvements, such as
increasing accuracy, do not recognize
that such improvements are an
inappropriate basis for increased
payment. We believe that measurable
changes in patient severity and patient
need are appropriate bases for changes
in payment. Our analysis continues to
find only small changes in patient
severity and need.
Comment: Commenters stated that the
increase in case-mix weights is due to
HHAs complying with Medicare
instructions regarding patient coding
‘‘consistent with the 2008 version of the
HH PPS.’’
Response: This comment is difficult
to address because the commenter does
not cite specifically which documents
constitute CMS-issued Medicare
instructions ‘‘consistent with the 2008
version of the HH PPS.’’ Nor does the
comment explain how the increase in
case-mix weights was driven by such
CMS instructions. However, we believe
our release in late 2008 of a revision of
Attachment D of the OASIS Instruction
Manual would not have had the effect
suggested by the comment. (Attachment
D was intended to provide guidance on
diagnosis reporting and coding in the
context of the HH PPS.) First,
Attachment D reiterated traditional CMS
guidance about how to select diagnoses
in home health. Attachment D did not
deviate from the fundamental and
longstanding instruction that reported
diagnoses must be relevant to the
treatment plan and the progress or
outcome of care and be consistent with
coding guidelines.
Comment: Commenters stated that
CMS should look into alternative ways
to account for nominal case-mix
changes. Commenters stated that
coordinated educations efforts can help
control nominal case-mix growth.
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Response: Section 1895(b)(3)(B)(iv) of
the Act gives CMS the authority to
implement payment reductions for
nominal case-mix growth by applying
reductions to the base payment. The
section does not allow CMS the
authority to account for nominal growth
in ways other than through payment
reductions. We continue to explore
ways to prevent future nominal casemix growth and we welcome any
suggestions.
Comment: A commenter stated that
the CMS methodology does not
recognize home health care’s increasing
ability to care for more serious medical
conditions in the home and ignores
changes in patient severity. We received
a number of comments stating that
home health patients now have more
complex conditions than previous
populations of home health patients and
that such patients previously would
have been referred to health care
facilities, but are now being cared for at
home. Moreover, the commenters stated
that other healthcare settings have
developed stricter admission
requirements, thereby increasing the
number of HHA patients with high
severity levels. One commenter cited as
evidence diversion of patients to home
care from inpatient rehabilitation
facilities (IRFs) due to the CMS 60
percent rule. In addition, the
commenters cited that there has been a
nationwide rebalancing of care in favor
of community care settings leading to a
higher severity in home care
admissions.
Response: Data we presented in the
CY 2011 HH PPS final rule (75 FR
70379) indicate that hospital lengths of
stay have been declining slightly and
lengths of stay in residential post-acute
settings before home health admission
have increased between 2001 and 2008.
We note that the proportion of initial
non-LUPA home health episodes
preceded by acute care within the
previous 60 days has declined between
2001 and 2008, from 70.0 percent to
62.7 percent. This indicates more
patients are being admitted to HHAs
from non-institutional settings (for
example, from the community). Also,
post-acute institutional utilization data
perhaps consistent with the comment
regarding diversion of patients to the
home care setting suggest a decline in
IRFs as a source of home health
patients, but this decline may have been
partly offset by an increase in SNF
utilization as a source. For example, the
proportion of initial episodes preceded
by an IRF stay that ended sometime
during the 30 days before home health
admission declined by more than a
percentage point in 2005 and declined
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another 1.6 percentage points by 2009,
while the percentage preceded by a SNF
stay increased half a percentage point in
2005 and has remained above the 2005
level through 2009, the latest year of
complete data available (based on a 10
percent beneficiary sample of initial,
non-LUPA episodes). We also note that
in CY 2005, when CMS began enforcing
the IRF 60 percent rule, we initially saw
an increase in knee joint replacement
patients admitted to home health
following hospital discharge. The 60
percent rule (previously, the 75 percent
rule), is a criterion used to define IRFs
for them to receive payment as an IRF.
The rule requires that in at least 60
percent of cases an IRF admits must
have one or more selected conditions
which have been established as
requiring the intensity of care provided
in an IRF. However, more current data
(2007 and 2009) shows that the
prevalence of knee joint replacement
patients in home health has dropped
from the 2005 levels, though the
prevalence is slightly higher than in
2000. The prevalence of hip joint
replacement patients has dropped since
2000, as have hip and femur fracture
patients. Furthermore, we note that
acute stays, which normally precede
stays in institutional post-acute care
settings, are decreasing in the stay
histories of home health patients.
Therefore, we question whether there is
any evidence showing an increase in
home health patient severity as a result
of more patients coming to home health
as a result of diversion from IRF care.
Comment: Commenters stated that
patient care capabilities are changing in
home health services and diagnosticspecific care protocols allow targeting of
patient populations. Commenters cited
utilization of interdisciplinary care
providers to improve patient outcomes
and to provide best practice
interventions, such as the prevention of
falls. The commenters further expanded
on this idea by stating that there is a
movement towards a multidisciplinary
approach to care and utilization of
broader ranges of therapy services to
improve outcomes and that evidence
based best practices have improved
patient outcome scores.
Response: To the extent that home
care agency capabilities are improving,
we support such developments and we
hope to see them continue. This is an
entirely different issue from whether the
patient population has changed to the
degree as indicated by the nominal
coding change we isolate in our
analysis.
Comment: Commenters suggested that
CMS recognize changes in patient
severity, improved patient assessment,
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coding and reimbursement changes in
their case-mix methodology and work
with National Association for Home
Care and Hospice (NAHC) to uncover
the reasons for case-mix weight changes
and to develop a valid methodology for
payment reform. Another commenter
stated that CMS should include industry
stakeholders in the analysis and
development of policies, such as the
case-mix adjustment cut, that have a
significant impact on access to home
care services.
Response: Through the public
comment process, we have obtained
industry views as to the reasons for
coding changes. As we have pointed out
before, reasons offered, such as
improved coding, are not a sufficient
basis for raising payment rates. To the
extent case-mix change is due to better
methods of assessing patients in the
home health setting, this does not justify
making reimbursements as though the
patients really were different in their
case-mix levels of severity. We plan to
solicit feasible alternative suggestions
for scientific approaches to measuring
real vs. nominal case-mix change in the
home health study under section
3131(d) of the Affordable Care Act.
Comment: Some commenters stated
that payment rate reductions due to
case-mix weight changes are not
warranted because Medicare
expenditures on home health are well
within budgeted levels, thereby
demonstrating that aggregate spending
has not increased enough to permit CMS
to exercise its authority to adjust
payment rates. Commenters cited
budget projections of the Congressional
Budget Office (CBO). Another
commenter stated that while therapy
services for home health patients have
increased in volume since the start of
the HH PPS in 2000, patient outcomes
have improved and Medicare spending
per patient and in the aggregate overall
has stayed well below projections by the
CBO. Some commenters stated that
payment reductions in home health will
lead to more institutional care, for
example, by leading to increases in
hospital readmissions of post-acute
patients.
Response: We have no statutory
authority to consider the relationship of
CBO projections to home health outlays
when setting the HH PPS payment rates.
The Secretary’s authority to respond to
nominal coding change is set out at
section 1895(b)(3)(B)(iv) of the Act. As
stated earlier, we do not believe that the
reductions will impede access to care,
but we will continue to monitor for
unintended consequences. There is no
evidence that improvement in home
health patient outcomes is related to the
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level of payments achieved through
nominal case-mix change. Effects of
payment reductions on access and
patient outcomes are worthy of study,
using carefully designed research. We
are aware of the challenges of
conducting conclusive research in this
area, in part because other policy
changes affecting the study question
may co-occur. We may explore this area
of research in the home health study
under section 3131(d) Affordable Care
Act.
Comment: Commenters stated that
CMS should not implement payment
reductions to address high therapy
utilization but rather address it by
implementing changes to case-mix
weights, such as the proposed changes,
instead.
Response: We note that we proposed
to implement a 5.06 percent payment
reduction to account for the residual
nominal case-mix growth from 2000 to
2009. The changes to the case-mix
weights were proposed to better align
payment with costs and to deter
incentives which contribute to nominal
case-mix growth. Therefore, we believe
we still need to implement payment
reductions to account for nominal casemix change from the inception of the
HH PPS through 2009.
Comment: Commenters stated that
therapy utilization is a coding
adjustment that accompanies not only
an increase in reimbursement but also
an increase in provider costs, implying
that a rate reduction related to increased
costs is inappropriate. Another
commenter stated that a typical casemix weight change adjustment in other
sectors may bring a reduction in profit
margins only, whereas in home health
the adjustment occurs where the higher
payments from increased case-mix
weights are offset by increased costs.
Response: We believe that the goal of
the Medicare program is to ensure that
beneficiaries receive the right care at the
right time. The evolution of patterns of
therapy utilization since the PPS began
leaves doubt that appropriate care has
been provided. In the CY 2008 proposed
regulation (72 FR 25356), we described
a shift in the distribution of therapy
visits per episode under the HH PPS
that caused two peaks: One below the
therapy threshold of 10 therapy visits;
and the other in the 10 to 13 visit range.
Before the HH PPS, the distribution had
one peak, at 5 to 7 therapy visits, well
below the 10-visit therapy threshold in
use prior to the 2008 refinements to the
HH PPS. The distribution of episodes
(LUPA and non-LUPA) changed again
with the implementation of the 153group case-mix system and its revised
set of thresholds and therapy steps. At
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the new 7-visit step (7 to 9 visits) there
was a sudden 50 percent increase in the
proportion of episodes, and at the new
14-visit therapy threshold, there was a
25 percent increase in the proportion of
episodes. One commenter in 2010, in
writing about the questionable
prescription of therapy treatment, stated
that certain agencies have habitually
provided therapy to patients whose
natural course of recuperation would
have been the same regardless of receipt
of therapy. Such prescribing behavior
adds to doubts that services are always
provided appropriately. We also note
that we implemented a declining
payment with each added therapy visit
with the 2008 refined case-mix system,
with the intent to deter inappropriate
padding of therapy prescriptions to
higher and higher numbers of visits, as
we added new thresholds above 10
visits. However, the pliability of therapy
prescriptions, the continued growth in
the proportion of episodes utilizing
therapy, and the 25 percent increase in
the proportion of episodes with high
numbers of therapy visits (14 or more)
in 2008 may be evidence that increased
costs are more than offset by the
increased payment associated with
therapy. Furthermore, a Senate Finance
Committee report concludes that among
the major for-profit providers, more
therapy was often provided than
clinically needed in order to maximize
Medicare reimbursement (Senate
Finance Committee Staff, ‘‘Staff Report
on Home Health and the Medicare
Therapy Threshold’’, U.S. Government
Printing Office, Washington: September
2011). To the extent that unnecessary
therapy was provided and contributed
to nominal case-mix growth, these are
overpayments, regardless of whether the
unnecessary therapy had a cost to the
HHA that provided it.
In addition, analysis of profit margins
indicates that they remain high among
HHAs. For example, according to
MedPAC’s analysis, Medicare margins
were 17.7 percent in 2009. This
situation suggests that higher payments
are not necessarily being offset by
increased costs. In March 2011,
MedPAC estimated that Medicare
margins will be 14.5 percent in 2011,
taking into account the then-expected
payment reductions (MedPAC, Report to
Congress: Medicare Payment Policy,
March 2010). Our estimates suggest
aggregate Medicare profit margins in
home health will remain strong under
the payment policies we are finalizing
with this rule.
Comment: Commenters stated that
there is an increased volume of episodes
that have therapy utilization and that
there have been improved patient
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outcomes. Some of these commenters
cited Table 8–5 in the March 2011
MedPAC Report to Congress. They
stated that the beneficiary outcomes
have greatly improved in all functional
measures with the increased therapy
services.
Response: There is not yet a body of
rigorous literature that provides
evidence tying improvements in home
health outcome measures to the
increased volume of therapy provided
under the HH PPS. The standard for
such evidence would be stronger than a
broad correlation between improvement
rates in outcomes and amount of
therapy provided. In addition, we
disagree that the March 2011 MedPAC
Report to Congress implied or
concluded that increased therapy
utilization has improved patient
outcomes. Rather, in the March 2011
Report, the Commission criticized the
home health measures for not capturing
changes in quality that were related to
the patient’s need for home health care.
The Report further described that the
improvement in walking measure is
reported for all patients regardless of
whether they needed home health to
address a mobility condition.
Comment: A commenter stated the
real case-mix change analysis omits
consideration of increased therapy
needs in the population. Other
commenters stated that therapy use
changes were not explained in the
model and that CMS admitted that it
could not explain the correct amount of
therapy expected for patients. The
commenter stated CMS should use
alternative variables which would be
more indicative of the changes in
therapy use.
Response: The models were intended
to analyze changes in case-mix over
time and do not distinguish whether
these changes are due to increases in
therapy use or other factors. We do not
believe that it would be appropriate to
include utilization-related variables,
such as the number of therapy visits, as
predictors in the model, as such
variables are provider-determined. In
addition, the goal of these analyses was
not to develop refinements to the
payment system but rather to examine
changes in measures of patient acuity
that are not affected by any changes in
provider coding practices. For example,
the models do incorporate information
about change in the types of patients
more likely to use therapy, such as postacute joint replacement patients. CMS
has access to the claims histories and
other administrative data for patients in
our samples, and we welcome
suggestions about how to better use
these resources in finding alternative
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variables more indicative of the need for
therapy, particularly if the suggestions
involve the use of data and variables
that are not HHA-determined.
Comment: A commenter stated that
the model fails to account for any
changes in HHA behavior related to
patient populations served. These
changes would include a marketing
effort targeted to increase the proportion
of patients who are high users of
therapy.
Response: We disagree with this
comment. The predictive model for real
case-mix was designed in 2007 and
includes a comprehensive set of
variables. We augmented the set of
predictor variables this year by adding
HCC data. The model looks at case-mix
change across a large sample of
providers, rather than considering
individual provider behavior. If the
characteristics of patients have changed
due to marketing efforts, this should
show up as changes in the mean values
of patient characteristics over time. For
example, the increase in knee
replacement patients since the baseline
year causes an increase in the predicted
case-mix weight. We will continue to
research ways to modify our models and
data for analyzing real case-mix change
over time. A challenge with using
OASIS items is that, for the most part,
OASIS items associated with case-mix
are already used in the grouper and thus
are not appropriate to use in the casemix change analyses (since changes in
case-mix over time may be due to
coding changes rather than changes in
severity).
Comment: The commenter stated that
MedPAC is researching and developing
revised payment models which could
bring therapy reimbursement more in
line with how other home health
services are paid for and any dramatic
reimbursement changes to the HH PPS
should be postponed in anticipation of
a more complete revision to the
payment methodology.
Response: We do not believe our
proposals represent dramatic
reimbursement changes. We have
strived to maintain the look and feel of
the refined system of 2008 in our
proposals this year. We agree that
dramatic changes to the HH PPS system
should await the congressionally
mandated study currently underway,
pursuant to Section 3131(d) of the
Affordable Care Act. This study may be
followed by a demonstration to test
major revisions to the payment
methodology.
Comment: A commenter implied that
the industry did not play a role in
developing the HH PPS and implied
that when OASIS was first used, there
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was a significant variation in the
reporting and that the industry was
disadvantaged.
Response: We followed the
Administrative Procedures Act (APA) in
implementing the HH PPS under the
mandate in the Balanced Budget Act of
1997. Under the APA, we solicited
public comments in 1999 on the thenproposed system. OASIS itself was
developed with industry participation
for the purpose of measuring home
health outcomes (see GAO–01–205,
January 2001, Appendix II). A version of
OASIS was used in the original casemix research that led to the design of
the HH PPS case-mix system. The
research results indicated that adequate
case-mix adjustment of payments could
be achieved using OASIS variables. We
have noted in previous regulations that
the average case-mix weight nationally,
as estimated from OASIS assessments in
the 12 months leading up to October 1,
2000, was about 13 percent higher than
the average in the sample of agencies
whose data were used for the case-mix
research. We used the estimate from the
12 months leading up to October 1, 2000
as our baseline for measuring case-mix
change because it represented a very
large, broad-based set of episodes. It did
not reflect the earliest days of OASIS
use. Given that coding practices
continually evolved subsequent to the
last 12 months ending October 1, 2000,
and that agencies were not subject to the
HH PPS incentives during the 12
months ending October 1, 2000, we
believe the baseline period that we
selected is the most appropriate one to
use to begin measuring coding change
that occurred in relation to the
introduction of the HH PPS. Any other
period subsequent to our baseline builds
in impacts on coding of the HH PPS and
is questionable to use from the point of
view of responsible fiscal stewardship.
Comment: Commenters stated that the
model is based on administrative data
rather than clinical data.
Response: The model only includes a
few variables that are derived from
OASIS assessments (measures of patient
living arrangement) because the OASIS
items can be affected by changes in
coding practices. It is not practical to
consider other types of home health
clinical data (for example, from medical
charts) in the model.
Comment: A commenter wrote that
the model relies too heavily on
assumptions and beliefs rather than
empirical evidence. Other commenters
stated that the implementation of the
payment reductions should be delayed
until the validity of data and methods
used to calculate the payment reduction
can be verified.
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Response: We disagree. The
prediction model for real case-mix is an
empirical model, the findings of which
are based entirely on empirical
evidence. We also disagree with the
commenter’s suggestion that we have
not validated the data or methods used
to calculate the payment reduction.
Over the last several years, we have
continued to evaluate our data and
methods, and this year, we procured a
review of our model by Dr. Grabowski
and his team at Harvard University, who
found our model robust.
The real case-mix prediction model
and its application account for changes
in the HH patient population by
quantifying the relationship between
patient demographic and clinical
characteristics and case-mix. The
relationships in conjunction with
updated measures of patient
characteristics are used to quantify real
case-mix change. The characteristics in
the model include proxy measures for
severity, including a variety of
measures, namely, demographic
variables, hospital expenditures,
expenditures on other Part A services,
Part A utilization measures, living
situation, type of hospital stay, severity
of illness during the stay, and risk of
mortality during the stay. This year,
additional diagnosis data, based on
physician and hospital diagnoses in the
patient’s claims history, were added in
the form of HCC indicators. Measurable
changes in patient severity and patient
need, factors mentioned by commenters,
are an appropriate basis for changes in
payment. Our model of real case-mix
change has attempted to capture such
increases.
We recognize that models are
potentially limited in their ability to
pick up more subtle changes in a patient
population such as those alluded to by
various commenters. Yet in previous
regulations we presented additional
types of data suggestive of only minor
changes in the population admitted to
home health, and very large changes in
case-mix indices over a short period. We
included among these pieces of
evidence information about the
declining proportion of home health
episodes associated with a recent acute
stay for hip fracture, congestive heart
failure, stroke, and hip replacement,
which are four situations often
associated with high severity and high
resource intensity. We found declining
shares for these types of episodes as of
2005 (72 FR 49762, 49833 [August
2007]). We presented information
showing that resource use did not
increase along with billed case-mix (72
FR 49833); stable resource use data
suggest that patients were not more in
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need of services over time,
notwithstanding the rising billed casemix weights that suggested they would
be. We also analyzed changes in OASIS
item guidance that clarified definitions
and could have led to progress in coding
practice (72 FR 25356, 25359 [May
2007]). We reported rates of OASIS
conditions for the year before the
beginning of the HH PPS and 2003, and
found some scattered small changes
indicative of worsening severity but no
dramatic changes commensurate with
the increase in case-mix weights (72 FR
25359). In our discussion, we cited
specific instances where agencies’
changing understanding of coding could
have contributed to the adverse changes.
However, as previously stated, Medicare
payments should be based on patient
level of severity, and not on coding
practices.
In the CY 2011 HH PPS proposed
rule, we identified a very large, sudden
1-year change (+0.0533) in the average
case-mix weight by comparing a 2007
sample that we assigned to case-mix
groups using the new 153-group system
and a 2008 sample grouped under the
same system. It is unlikely that the
patient population suddenly worsened
in severity so as to cause an increase of
0.0533 in the average case-mix weight in
a single year. Furthermore, we
concluded that the large change was not
due to our use of the new, 153-group
case-mix algorithm in 2008, because
when we applied the previous case-mix
system and the new system to a sample
of 2007 claims, the average weight
differed very little (the difference was
0.0054). That is, the algorithms in the
previous and new case-mix systems
provided highly similar case-mix
weights on the sample of 2007 claims.
We further examined the diagnosis
coding on OASIS assessments linked to
the 20 percent claims sample and found
a large increase between 2007 and 2008
in the reporting of secondary diagnosis
codes (75 FR 43242, July 23, 2010). The
use of secondary diagnosis codes in the
case-mix algorithm was introduced in
2008 as part of the new case-mix
system.
Comment: A commenter stated CMS
should suspend nominal case-mixrelated payment reductions until it
develops an accurate and reliable model
to evaluate changes in case-mix weights
consistent with the whole nature of
patients served in home health care, not
just those discharged directly from
hospitals.
Response: Many variables in our
model are applicable to patients who
have not used hospitals recently,
including variables relating to
demographic status and post-acute care
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utilization. Another set of the model’s
variables, used to describe the nature of
any previous hospital stay, applies to
many patients nonetheless, because we
searched the claims history to find the
last hospital stay that occurred before
the episode. Finally, this year we also
added a new source of information to
the model, physician diagnoses from the
claims history of each patient and
hospital diagnosis information from all
hospitalizations occurring in the year of
the HH PPS episode of the patient. This
represented a substantial increase in the
amount of information available about
patient health characteristics. We
believe that, especially since we made
this change, the model includes a rich
set of patient measures. It is important
to note that the omission of any
particular variable is not enough to
change estimates of unpredicted casemix change. Variables must have
different prevalence rates in the initial
and later periods. If prevalence rates for
such variables were the same in both
periods, the effects would net out; in
other words, there would be no
systematic difference in the predicted
case-mix over time.
Comment: Commenters stated that the
Abt report on the real case-mix change
analysis (‘‘Analysis of 2000–2008 Casemix Change’’, July 2010, link at https://
www.cms.gov/center/hha.asp) does not
discuss what signs are consistent with
known relationships and, hence, is not
in a position to judge the signs of the
coefficients. Commenters stated that the
signs for various variables in the model
are counterintuitive. Commenters stated
that while Abt included variables
related to inpatient stays, the estimated
coefficients are not consistent with
expectations that ‘‘the coefficient for
any stay would be positive and the
coefficient for the number of days
would be negative.’’ The coefficient has
an opposite sign than what is expected.
Response: We thank the commenters
for their comments. However, our
purpose is to predict case-mix weights
using all available and relevant
administrative data, rather than to
isolate the impact of individual
variables. We have noted elsewhere that
many coefficients have signs as we
expect (Abt Associates 2008; 72 FR
49762, 49780, August 29, 2007).
Contrary to what the commenter states,
it is not clear that a hospitalization
would be associated with higher casemix; it may be that community patients
are more clinically complex and have a
higher case-mix than those who are
discharged from a hospital to home
health. This result is consistent with the
impact of pre-admission location
variables (from OASIS item M0175) in
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the 80-group case-mix model.
Furthermore, we believe that often the
signs that commenters find
counterintuitive are not so upon careful
consideration of the variables already
controlled for in the model.
Comment: Some of the technical
concerns are that the model contains
numerous variables that are not
statistically significant and may provide
spurious results.
Response: To avoid omitted variable
bias, we believe it is prudent to include
all available variables for which there is
good reason to believe that they may be
causally related to patient case-mix, and
therefore, the models contained some
statistically non-significant variables. In
addition, the non-significant variables
do not appreciably alter the results of
the case-mix measurement model.
Comment: Abt does not perform any
multicollinearity diagnostic statistics or
consider the remedy of combining some
of the variables. The model uses a large
number of variables that do not have
much variation. The close interaction
among the variables ‘‘is likely to pose
problems with the prediction of the
dependent variables.’’
Response: Given the objectives of the
analysis, we are not particularly
concerned about redundancy among
variables. It is also important to note
that such redundancy, often called
multicollinearity, does not actually bias
results and may only cause large
standard errors of the coefficients for
variables that are related to one another.
Standard errors are not used in our casemix change calculations. The Abt
Associates report described
improvement in the predictive power of
the model as each set of variables (for
example, APR–DRG variables) was
added beyond demographic variables
alone. The addition of Part A
expenditure variables, the last variable
set added to the model (prior to the
recent addition of HCC variables), led to
little improvement in predictive power,
and for that reason might be considered
redundant; however, their addition did
not change the essential results of the
analysis (Abt Associates, 2008), which
were that only a small proportion of the
case-mix growth could be attributed to
changes in patients’ characteristics.
Comment: Commenters stated that
they would like the model to meet a
minimum requirement for a level of
accuracy and reliability that is at least
equivalent to the case-mix adjustment
model that it is assessing. The
commenters stated that the current HH
PPS case-mix model had an R-squared
explanatory power of over 40 percent
while the case-mix weight change
assessment model has an R-squared
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around 10 percent. The commenter
states that the regression model Rsquare dropped from 19 percent to
10 percent in the 2008 analysis and the
decrease in the R-square is ‘‘unclear and
unexplored.’’ They stated that since the
R-square of the 80 HHRG case-mix
model was 0.21 while the R-square of
the 153 model was 0.44, the R-square
value for the case-mix measurement
model should be higher for the model
using the 153 grouper.
Commenters stated that the Abt
models are unreliable because 40
percent of the top variables differ from
one model year to the next (original IPS
model and the model rebased to 2008
data), and 20 percent of the variables
change signs. The commenter stated the
high R-square of the current PPS casemix model suggests that the case-mix
weight change regression model
analysis for 2008 should have had a
higher R-square. The decrease in the Rsquare is ‘‘unclear and unexplored.’’
Response: We thank commenters for
their comments. We note that the
commenter’s comments correspond to
the older case-mix prediction model
(which assessed real case-mix growth
from 2000–2007 and from 2007–2008).
We have since updated our case-mix
prediction model to include HCC data
and our case-mix model assesses real
case-mix growth from 2000–2005, 2005–
2007 and from 2007–2009.
We also note that we disagree that the
difference in R-squares for the models
indicates that the prediction model for
real case-mix is unreliable. Comparing
the results for the 2000–2005 and 2005–
2007 periods, four of the top five drivers
of predicted case-mix change are the
same in both models, as are 13 of the
top 20. Similarly, 13 of the top 20
drivers are the same for results from
2005–2007 and 2007–2009, including
the HCC community score. Most of the
predicted case-mix change results from
the major ‘‘drivers’’ in the model, and,
of the top 50 drivers of case-mix change
in the 2000–2005 analyses (which
account for almost 80 percent of the
total predicted change in that time
period), 48 have the same sign in the
2007 model and 30 also have the same
sign for the 2009 model.
We would expect some change over
time in the variables that are among the
top drivers of case-mix change, given
the large number of variables in the
model and the differing dependent
variables (the 80 case-mix weights for
the first model, pertaining to the 2000–
2005 and 2005–2007 periods, and the
153 case-mix weights for the second
model, pertaining to the 2007–2009
period). With regards to the 40 percent
R-squared explanatory power
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benchmark, given that the goal of the
case-mix change analyses is to
determine the extent to which case-mix
changes observed over time are due to
changes in patient acuity or other
factors (such as coding changes) that are
not observed in the model, we do not
believe that this is an appropriate
statistical performance benchmark for
the model.
The explanatory power of the current
HH PPS case-mix model is as high as it
is in large part because of the therapyrelated variables in the model (where a
direct measure of resource use is
included on the right-hand side of the
regression model). We do not believe
that it is appropriate to include these
types of variables in the case-mix
change model because they are provider
determined.
Comment: A commenter stated that
no explanation was provided on
segmented choice of periods of
evaluation. This commenter wrote that
it is unclear why Abt subdivided the
2000–08 period into 2000–2007 and
2007–2008. To minimize the possibility
for shifts in the relationship between
resource requirements and explanatory
variables, Abt could have subdivided
the 8-year period in half or at least
performed some sensitivity analysis to
choose the time periods.
Response: The procedure of
identifying nominal case-mix change
relies on subtracting an average of
predicted weights from the average of
actual, billed weights. The case-mix
group system changed from one of 80
groups to 153 groups in 2008, causing
a change in the set of weights that could
be billed to Medicare. Up until 2008,
this was not an issue as the same set of
weights was used throughout the entire
history of the PPS up until that year. To
be able to bridge the periods before and
after the 153-group model, in last year’s
analysis, we rebased the prediction
model to the 2008 data, the first year
that the 153-group model was used for
paying home health providers, creating
a 2007–2008 segment. We combined the
results from the original IPS-period
equation with the results from the
rebased 2008 equation for last year’s
analysis. For this year’s analysis, again
we defined segments to accommodate
data availability. We defined three
segments. We broke the 2000–2007
period that we previously analyzed into
two periods, 2000–2005 and 2005–2007,
because we added several variables
derived from HCC model to the 80
HHRG model. It was not possible to
include HCC variables in analyses of
years prior to 2005. The third segment
covered 2007–2009 instead of 2007–
2008, to update the data to the most
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current year available. This year’s
analysis used 2009 data, rather than
2008 data, for rebasing to the 153-group
model.
Comment: Commenters criticized the
model’s reliance on hospital DRG data
stating that over half of all Medicare
home health patients are admitted to
care from a setting other than a hospital
and many of the patients receive care far
extended past an initial episode.
Commenters stated that the APR–DRG
variables are less relevant for multiple
episode patients. Another concern was
that 848 of the 902 variables are APR–
DRG related to prior use hospitalization.
Response: We disagree that the utility
of the hospital information in the casemix change analysis is so limited, and
with the addition of HCC data, we have
enhanced the robustness of the variable
set used for the analysis to include
physician diagnoses and diagnoses of
other clinicians, as well as Medicaid
eligibility. Regardless of whether the
patient came directly from a nonhospital-setting (for example, home or a
post-acute institutional stay),
information from a hospital stay
preceding home health is typically
relevant to the type of patient being seen
by the HHA, and thus can provide
information about the PPS case-mix
measure for the home health episode. A
recent hospitalization, whether or not
there is an intervening period spent in
some other setting before home health
admission, is common before admission
to home health. The Abt Associates
case-mix change report (‘‘Analysis of
2000–2008 Case-mix Change’’, July
2010, link at https://www.cms.gov/
center/hha.asp) indicates that about
90 percent of the episodes have a
hospitalization history in the data,
looking back a maximum of 4 years.
However, from the information we show
here about the likelihood of a hospital
stay before and after home health,
relatively few of the hospital stays
contributing information are as old as 4
years. We also note that the remaining
10 percent of episodes are not dropped
from the analysis; these episodes
contribute information for the model,
specifically, demographic information
and various proxy measures derived
from Part A utilization and expenditure
data.
Comment: Commenters stated that the
model should recognize that home
health patients are often treated in the
home for conditions other than the
primary condition that led to
hospitalization and should consider that
patients may have multiple episodes of
care such that a prior hospitalization
may be of little relevance to the
condition of the patient.
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Response: We believe our addition of
HCC data addresses this comment. The
data reflect the cumulative diagnostic
information from the patient’s claim
history in the year of the episode. We
would like to remind commenters that
the real case-mix prediction model is
not limited to diagnoses. The model also
takes into account demographic factors,
as well as utilization indicators of
health status, such as Part A utilization
measures. Moreover, the model
measures the relationship between these
factors and case-mix.
Comment: A commenter stated
hospital discharge data demonstrate that
home health patients are admitted from
hospital stays with a higher degree of
acuity than in the past. ‘‘The acute care
(inpatient prospective payment system
(IPPS)) CMI for cases discharged to
HHAs reflects the patient severity of the
patients discharged to HHAs. As one of
the measures for patient severity is prior
hospitalization, it is believed to be
unaffected by the home health CMI. The
CMI for the prior hospitalization can be
assumed to be a proxy measure of the
‘‘real’’ case-mix index (CMI). Based on
our analyses of the 2007 and 2008
MedPAR data (Medicare discharges
from short term acute care hospitals),
we found that the CMI (MS DRG-based
CMI) of cases discharged to HHAs
increased by 2.5 percent from 1.588 in
2007 to 1.630 in 2008. Furthermore, we
also found that among the acute care
cases discharged to HHAs, the
proportion of cases categorized as
Medicare Severity Adjusted Diagnosis
Related Groups (MS DRGs) with
complications and comorbidities
increased by 3 percentage points from
25 percent in 2007 to 28 percent in
2008. This implies that the real CMI due
to comorbidities most likely increased
for the cases discharged to home health
agencies.’’
Response: The MedPAR data analyzed
in this comment cover the period when
the MS–DRG system was implemented.
We analyzed MS–DRG coding and
found evidence of changes in coding
and documentation practices that led to
increases in billed acute care case-mix
weights. CMS actuaries estimated that a
2.5 percent increase in case-mix in the
hospital IP PPS was due to coding and
documentation changes occurring in FY
2008 (75 FR 50355). The results cited by
the commenter may have reflected the
weight-increasing hospital coding
behaviors addressed by the CMS
regulatory analysis. Therefore, we have
reason to believe that this measure alone
is not good evidence for assessing real
case-mix change. We must also point
out that our analyses employing the
APR–DRG system indicated that the
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proportion of episodes with a Mortality
Risk Level 3 (Major) diagnosis increased
over time while the proportion with
Mortality Risk Level 2 (Moderate)
decreased. However, our regression
coefficients (for both the IPS and 2008
model) showed a negative relationship
between being in the moderate or major
risk of severity groups and case-mix.
Thus, the increase in the proportion of
patients in the highest mortality risk
category led to an estimate of lower
predicted case-mix. Given these types of
findings, it is not clear the extent to
which the CMI changes that the
commenter notes, even if they
represented an accurate measure, would
lead to a prediction of higher case-mix.
Comment: The commenters stated
that the Harvard team validation
analysis confirms that patients
discharged from a hospital to home
health services are significantly
different in terms of case-mix weight
changes than those admitted to home
health without a prior hospitalization.
The case-mix weight change increased
by 21.16 percent for those who were
discharged to home health while the
case-mix weight change increased by
only 15.85 percent for those who were
discharged to home health without a
prior hospitalization.
Response: Both of those case-mix
weight change values are substantial. In
addition, as described in the CY 2012
HH PPS proposed rule, the results of the
MEPS analysis did not provide evidence
to suggest that the Medicare home
health population has experienced a
decrease in their health status over time.
Given these results along with the
finding of significant nominal case-mix
percentage increases for the post-acute
and community patients, the Harvard
team concluded that the current model
adequately measures real case-mix
growth for home health patients,
including patients admitted to home
health from the community.
Furthermore, we note our real and
nominal case-mix change estimated for
purposes of arriving at the case-mix
change adjustment to the rates combine
data from both populations.
Comment: Many commenters
suggested that all of the payment
adjustments are based on a flawed
foundation and suggested that CMS
should not use data from IPS and early
PPS years to compare increased casemix weights. Commenters recommend
analyzing data with a different base year
and analyzing case-mix weight changes
for 2008 to current to see how much
increase occurred in more recent years.
Response: In our May 2007 proposed
rule and our August 2007 final rule, we
described the IPS samples and PPS
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in the scoring system remained
statistically significant.
Comment: Commenters stated that
CMS should suspend or drop case-mix
reductions because the data used to
determine the reductions do not
recognize real increases in severity due
to earlier and sicker hospital discharges.
Response: Although we recognize that
average lengths of stay in acute care
settings are in decline, our analysis
shows that agencies are, in fact, caring
for fewer, not more, post-acute patients.
Since 2001, the average length of stay in
acute care preceding home health has
declined by about one day, from 7 days
to 6 days. Between 2008 and 2009, the
average length of stay in acute care
leading directly to home health
admission declined from 6.07 days to
5.85 days. However, agencies are caring
for fewer highly acute patients in their
caseloads. The proportion of non-LUPA
episodes in which the patient went from
acute care directly to home health
within 14 days of acute hospital
discharge declined substantially
between 2001 and 2008, from 32 percent
to 23 percent. Also, the median acute
hospital length of stay for these non-
LUPA episodes with a 14-day look back
period remained unchanged at 5 days
between 2002 and 2008 (see 75 FR
70379). In 2009, the median length of
stay declined to an estimated four days
(see Table 2). The distribution of lengths
of stay has been fairly stable, with
declines since 2006 limited to the upper
half of lengths of stay.
We believe the declining prevalence
of recent acute discharges is due in part
to more patients incurring
recertifications after admission to home
health care, and also due to more
patients entering care from the
community. The shortening lengths of
stay at the right tail (high percentiles) of
the distribution may reflect changing
utilization of long-term-care hospitals
during recent years. The conclusion we
draw from these data is that while
patients on average have shorter
hospital stays, agencies are also facing a
smaller proportion of home health
episodes in which the patient has been
acutely ill in the very recent past. Also,
the detailed data on the distribution of
stay lengths suggest that for the most
part lengths of stay for such patients
remained fairly stable through 2009.
Furthermore, we think that acuity of
patients has been increasingly mitigated
by lengthening post-acute stays for the
substantial number of home health
patients who use residential post-acute
care prior to an episode. Our data show
that patients who enter residential postacute care before home health
admission have experienced increasing
lengths of stay in post-acute care since
2001. Using a 10 percent random
beneficiary sample, we computed the
total days of stay (including both acute
and post-acute care days) for home
health episodes with common patterns
of pre-admission utilization during the
60 days preceding the beginning of the
episode. We included patients whose
last stay was acute, or whose next-to-last
stay was acute with a follow-on
residential post-acute care stay, or
whose third from last stay was acute
followed by two post-acute care stays.
These common patterns accounted for
55 percent of the initial episodes in
2001 and 42 percent in 2008. We found
that total days of stay during the 60 days
leading up to the episode averaged 12.6
days in 2001, and rose to 12.8 days in
2008. This small change in total days of
stay during a period when acute LOS
was declining was due to increasing
lengths of stay in residential post-acute
care for these patients. For example,
within the 30 days before admission, an
average length of stay in the post-acute
care setting for episodes preceded by an
acute stay that was the next-to-last stay,
and where the post-acute care stay was
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samples that were used to calculate
case-mix change. We remind the
commenter that 313,447 observations is
an extremely large sample by statistical
standards, and that agencies began
collecting OASIS data in 1999,
following issuance of a series of
regulations beginning on January 25,
1999 (64 FR 3764). Most of the data we
used for the baseline period come from
the first 3 quarters of the year 2000—
months after collection was mandated to
begin in August 1999. By 2000 the vast
majority of agencies were complying
with the reporting requirements.
Indirect evidence that the data from the
early years of the HH PPS were
sufficiently reliable comes from model
validation analysis we conducted
during that period. Validation of the 80group model on a large 19-month claims
sample ending June 2002 (N = 469,010
claims linked to OASIS) showed that
the goodness-of-fit of the model was
comparable to the fit statistic from the
original Abt Associates case-mix sample
(0.33 vs. 0.34), notwithstanding that
average total resources per episode
declined by 20 percent. That analysis
also showed that all but three variables
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the very last stay before the claim fromdate, increased from 12.7 to 14.3 days.
Our interpretation of these statistics is
that patient acuity has been increasingly
mitigated by longer post-acute stays for
the substantial number of home health
patients that use residential post-acute
care prior to the start of a home health
episode. Patient acuity also was
mitigated by growing numbers of home
health recertifications.
Comment: Commenters stated that
CMS uses inconsistent approaches in
estimating the coding adjustment among
provider sectors. They cited that over
the last four years, CMS has used
different case-mix change assessment
models for post-acute providers: IRFs,
LTCHs, and HHAs. Other commenters
stated that the methodology ‘‘used to
establish the reduction percentage’’ in
the inpatient system was flawed and
were concerned that the methodology
used to establish the payment reduction
for home health is flawed as well.
Response: The payment systems,
institutional conditions, data resources,
case-mix assignment procedures, and
many other aspects differ across care
settings. Therefore, individual case-mix
assessment methodologies must be
developed for each of the post acute
care sectors. Our general approach is
consistent with the original approach
CMS used to analyze the coding change
problem affecting IRFs. Also, in terms of
evaluating case-mix methodologies in
the different settings, the methodologies
must each be judged on their own
individual merits. We have explained
and justified the methodology in this
and in previous regulations cited
elsewhere in this preamble.
Comment: Commenters stated that
there should be no application of the
adjustment to medical supplies unless
CMS can establish that there is a change
in case-mix weights specifically
regarding medical supplies that is not
due to real changes in patient
characteristics and the proposed rule is
unclear whether the adjustment factor
will apply to NRS.
Response: The 3.79 percent payment
reduction in CY 2012 and the 1.32
percent payment reduction in CY 2013
that we are finalizing in this final rule
will not be applied to non-routine
medical supplies. The payment
reductions will only be applied to the
national standardized 60-day episode
rates to fully account for growth in
nominal case-mix from the inception of
HH PPS through 2009. We will further
explore potential payment reductions to
non-routine medical supplies for future
rulemaking.
Comment: One commenter stated how
there is much uncertainty surrounding
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how the ‘‘super committee,’’ created as
part of the recent debt limit deal, will
move forward assigning cuts in Federal
spending over the next ten years and if
the committee and/or the Congress fail
to reach a compromise, there may be
cuts to Medicare home health rates in
conjunction with the regulatory cuts
that CMS is proposing. (0038) The
commenter was concerned with the
combined effect of these additional cuts
along with our payment reduction.
Response: We will continue to
monitor HHA margins and effects of
payment policies on patients’ access to
care. CMS also must comply with
current and any future Medicare laws
passed by the Congress. In addition, we
cannot comment on any potential
legislation which the Congress may be
considering.
Comment: Commenters stated that we
should suspend or drop case-mix
reductions in favor of the approach in
S.2181/H.R. 3865 (110th Congress),
which involved working with the home
health industry to develop criteria and
evaluating a medical records sample to
determine reductions, rather than
relying on hypothetical extrapolations.
Another commenter mentioned that the
Home Health Care Access Protection
Act (S. 3315/H.R. 5803) was introduced
to ‘‘establish a more reliable and
transparent process for CMS to follow in
evaluating Medicare payments for home
health services.’’ The commenter
suggested that CMS use this more
transparent process which would still
enable rate adjustments to be
implemented provided that there is
reliable evidence that there are higher
case-mix scores resulting from factors
other than changes in patient condition.
Response: We commissioned a review
of the case-mix change methodology, as
we described in our proposed rule and
elsewhere in this final rule. The
research team of highly qualified
personnel determined that an
examination of the consistency of the
results across types of episodes and
providers, which they conducted
themselves, would provide information
about the reliability of the method. They
considered information that they
developed from the MEPS survey as
well. We have not commissioned work
based on a medical records sample. We
note that a medical records sample
could be used to determine payment
reductions; however, there are many
difficulties and limitations to this
analysis. First, to produce reliable
results, we would need to collect a large
sample which would require significant
financial resources that may not be
available. We would a need a sizable
sample of records from both the IPS
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period and from a follow-up year
(for example, 2009). In addition, based
on our past experience in retrieving old
records, it is difficult to find enough
records to constitute a valid broad-based
sample. The procedure would have
nurses group them into a case-mix
group, and compare the results with
those from a similar procedure
performed on recent records. Additional
potential problems with using medical
records include the strong possibility
that records would have insufficient
information to allow assignments for the
activities of daily living (ADL) items of
the case-mix system, have insufficient
information to enable independent
staging of pressure ulcers, and other
kinds of underreporting. It is possible
that this procedure might not return the
findings that the proponents suggest it
would, because the nominal case-mix
change problem partly results from
reporting practices that have changed
through time from a state of
underreporting to a state of more
complete reporting. Therefore, one
would expect that the source records
would likely reflect underreporting in
the early years, just as the OASIS
reflected underreporting in the early
years.
Comment: Commenters criticized the
evaluation by the Harvard team. They
stated that the Harvard team did not
attempt to determine if the results were
accurate and only validated the idea
that a method that does not rely on
home health specific patient data results
in similar conclusions when reviewed
in comparison to alternative methods
that do not consider home health
patient characteristics.
Response: The Harvard team was
asked to review the appropriateness and
strength of evidence from the case-mix
change methodology we used. After
their examination, they concluded that
the methodology was robust and valid.
Comment: One commenter stated that
they reviewed the report by
Dr. Grabowski and his team at Harvard
and found it provided compelling
support for the case-mix measurement
methodology used in the proposed rule.
Response: We thank the commenter
for the comments and the support.
Comment: Commenters disagreed
with the use of HCC data. The
commenters stated that the HCC
information has no bearing on the home
health-specific condition of patients nor
the condition at any provider setting
and that an individual may need
different levels of care at any given
point in time. The commenters stated
that the reliance on HCC does not offer
the granular-level review of patient
characteristics that is needed. Another
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commenter stated that the methodology
used to risk adjust for managed care is
not the same as risk adjusting for home
health patients at the time they received
services and that they thought that this
difference was not taken into account in
the case-mix measurement model.
Response: We added the HCC data
partly as a response to commenters’
criticisms that the model of real casemix change was too reliant on hospitalgenerated claims information. We
disagree with the statement that the
HCC information has no bearing on the
home health-specific condition of
patients, because we used the HCC
information for the year in which the
episode took place. The patient’s
conditions during that year, as reflected
in all the diagnoses associated with
physician visits, certain other types of
clinician encounters, and hospital stays
occurring that year, in addition to
information such as Medicaid
enrollment included in the HCC data,
provide a relatively comprehensive
picture from administrative data of the
patient’s health status. We do not find
that a granular level review of patient
characteristics would be feasible, given
the immense resources needed for a
large set of independent reviews.
Comment: Commenters were
concerned with CMS’ use of 2009 data,
stating that home health services have
changed from 2009 to today.
Response: As in previous rulemaking
since the start of the HH PPS, we
continue to use data samples that
represent a 2-year lag of the service date
relative to the year in which we conduct
the analysis. The 2009 claims data
matched to OASIS assessments and
Part A information, as well as HCC
information, are a complex set of
analytic files that should be based on a
complete year of data, to assure
representativeness. If we were to begin
file construction before having all the
claims, we would introduce error into
the results (in general, more
complicated claims take longer to
prepare and submit). Furthermore, we
did not make major changes to the
payment system that would affect most
agencies between 2009 and 2011, and so
we do not have strong reasons to believe
that services patterns have changed
dramatically. We noted in our proposed
rule that in 2009 the major outlines of
the therapy episode distribution
exhibited a continuation of the outline
established in 2008, the first year under
the refinements.
An alternative to using 2009 data to
determine nominal case-mix growth
would be to project the level of nominal
case-mix growth for 2010 and beyond
and make payment reductions based on
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our projections. However, these
projections may result in payment
reductions that are larger than those
being implemented. We may consider
such a methodology change in future
rulemaking.
Comment: The commenters stated
that the payment reductions fail to take
into account home health coding policy
changes that negate the risk of coding
weight increases, such as the
elimination of hypertension from the
case-mix system and the re-weighting of
therapy episodes. Commenters
suggested that CMS consider the impact
of the hypertension adjustment in the
overall analysis of nominal case-mix
growth. Other commenters requested
that CMS not make drastic changes to
the case-mix while implementing the
proposed rate reductions.
Response: We note that when
removing the two hypertension codes,
we reallocated the resources and revised
the weights in a budget neutral manner
so that they would result in the same
approximate aggregate expenditures as
2009. Therefore, when removing the two
hypertension codes, we are not taking
away money from the case-mix system,
and therefore, we can fully account for
case-mix growth from 2000 to 2009.
We also note that the payment
reductions we have proposed are to
compensate for nominal coding changes
that occurred through 2009 and we
proposed to implement the elimination
of hypertension beginning in 2012.
Based on our analysis discussed in
Section II.B, we believe a revision in the
case-mix weights is warranted and are
therefore proposing the change to the
case-mix weights along with the
payment reductions.
Comment: Commenters stated that
external data references show
indications of real changes in patient
characteristics. They stated that the
Medicare Expenditure Panel Survey
(MEPS) Data analysis shows that
patients are getting sicker every year
and data may show a higher ‘‘real’’ casemix change than CMS estimates.
Response: As stated in the proposed
rule, to address the comment that a
study which used MEPS data showed a
higher rate of real case-mix growth in
the entire Medicare population than our
model estimated for Medicare home
health patients, a more detailed analysis
of the MEPS data was performed. The
trends in health status of four different
populations from 2000 to 2008 were
analyzed. The data for the analysis were
obtained from the MEPS 2000 and 2008
Full Year Consolidated Data files. The
four populations that were analyzed
were: (1) The full MEPS sample; (2) all
Medicare beneficiaries, defined as all
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respondents ever having Medicare in a
given year; (3) all home health patients,
defined as having at least one home
health provider day in a given year; and
(4) all home health Medicare
beneficiaries, defined as all respondents
with any Medicare home health charges.
Two measures of self-reported health
status and one measure derived from
patient information that screened for
ADL limitations were used to determine
the trends in health status. These types
of measures have been shown to be
highly correlated with actual health
(Ware and Sherbourne, 1992;
McHorney, Ware, and Raczek, 1993).
The three measures which were
analyzed for each of the populations
were: (1) Whether the respondent
indicated perceived health status of
‘‘poor’’ or ‘‘fair’’ as opposed to those
indicating health status as ‘‘good,’’
‘‘very good’’ or ‘‘excellent;’’ (2) whether
the respondent indicated if pain limited
normal work (including work in the
home) in the past 4 weeks ‘‘extremely’’
or ‘‘quite a bit’’ as opposed to those
indicating pain limited work
‘‘moderately,’’ ‘‘a little bit,’’ or ‘‘not at
all,’’ and (3) whether respondents had a
positive screen for needing assistance
with ADL. In all cases, responses such
as ‘‘refused,’’ ‘‘don’t know,’’ or ‘‘not
ascertained’’ were omitted from the
analysis. The Medicare analysis samples
consisted of 3,371 and 4,144
beneficiaries in 2000 and 2008,
respectively. The Medicare home health
subsamples consisted of 174 and 289
beneficiaries in 2000 and 2008,
respectively. The survey responses were
then weighted using pre-constructed
MEPS survey weights to estimate
nationally representative changes in the
three health status variables.
All three measures indicated a slight
increase in the overall health status of
the Medicare home health population.
Two of these results were not
statistically significant, but the percent
of home health Medicare beneficiaries
experiencing ‘‘extreme’’ or ‘‘quite a bit’’
of work-limiting pain decreased
substantially, from 56.6 percent in 2000
to 45.4 percent in 2008 (p=0.039).
Unlike Dr. Deb’s original study, the new
MEPS analysis focuses specifically on
Medicare home health users (as opposed
to the entire Medicare population), and
it is not reliant on expenditure data. A
limitation of the Debs case-mix measure,
which relies on expenditure data, is that
it could reflect large increases in
expenditures, such as drug
expenditures, but any relationship to
actual increases in impairments and
other reasons for using home health
resources is unclear. A possible
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limitation of the new MEPS analysis is
that the sample of Medicare home
health respondents is relatively small,
notwithstanding that the result of one of
the three measures was statistically
significant. Also, the ADL screening
item may not capture a change in the
frequency of very severe ADL
limitations since the measure may be
insensitive to changes at high levels of
disability. However, the Harvard team
asserted that the methods of the new
MEPS analysis are more appropriate for
assessing whether there are increases in
the severity of illness burden that would
specifically indicate a need for more
resources in the Medicare home health
population. Based on the two kinds of
evidence, and a recognition of the
limitations of both, we conclude that the
MEPS data provide no evidence of an
increase in patient severity from 2000 to
2008.
Comment: Commenters stated that the
OCS data analysis on OASIS measures
regarding a patient’s functional status
unrelated to HH PPS HHRG calculations
showed that there were declines in all
nine functional categories and showed
increased patient acuity from 2006–
2008 as measured by ADL assessments
of decreasing functional capabilities of
home health patients. They also stated
that OCS data analysis on OASIS
measures of clinical conditions that are
unrelated to HH PPS HHRG calculations
shows a ‘‘large increase’’ in acuity as
measured by changes in clinical
conditions and there are increases in the
number of patients requiring IV therapy,
parenteral nutrition and those who have
urinary tract infections at the start of
care. They stated that the data also
showed an increased inability to
manage oral and injectable medications.
They stated that the OASIS measures
are not likely to be ‘‘upcoded’’ to secure
higher reimbursement as none of the
measures have a direct or indirect
impact on payment and that the
decreases in ADL incapacities are
correlated with increase in use of
therapy services. Further, the decrease
in functional capabilities could have
been easily correlated with increase in
the use of therapy services as both
physical and occupational therapists
directly address the ADL incapacities
that are the focus of these OASIS
findings. The commenter referred to
reports on the July 23, 2010, Proposed
Rule commissioned by the Home Health
Advocacy Coalition and the National
Association for Home Health and
Hospice, saying both documents
indicate ‘‘non-case-mix related OASIS
items, such as grooming and light meal
preparation have shown increasing
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functional limitations among home
health patients.’’ Commenters stated
that other data showed that home health
care patients have increased functional
limitations and more complex clinical
conditions than in past years.
Response: Contrary to the trends
reported by the commenter pertaining to
treatments at home, our analysis from a
large, random sample of OASIS data
linked to claims shows that the
proportion of episodes involving
intravenous therapy or infusion therapy
has remained stable at around 2.2
percent. The proportion of episodes
involving parenteral nutrition remains
at 0.2 percent or less during that period.
As we have stated in previous
regulations, we are reluctant to use
OASIS data to analyze changes in real
case-mix because OASIS measures
reflect changes in coding practices and
payment incentives including quality
measurement incentives, all of which
are not related to real changes in
patients’ acuity. We are also concerned
that incentives could lead to reports of
patient function—-whether or not
particular function-related items are
used in the case-mix assignment—that
are consistent with the therapy visits
planned. Unfortunately, this problem
potentially limits the usefulness of noncase-mix items. We believe that
independent measures are the best way
to assure the reliability of our real casemix methodology. We plan to try to
identify independent measures, beyond
the independent measures we are
currently using in our methodology, as
we go forward.
Comment: Commenters stated that
patients are also taking many more
medications.
Response: OASIS-C includes
information about medication use, but
we do not have broad-based information
about changes in numbers of
medications in home health users in
recent years. While we intend to
examine the possible role that new
variables in OASIS-C, including
medication use, can play in case-mix
adjustment, whether a trend indicative
of increased medication use is
important for measuring real change in
case-mix over time depends on the
extent to which its effect is independent
of other factors recognized in our real
case-mix change analytic procedure.
Also, the challenge of obtaining
historical data is great, but we can at
least start tracking medication use with
the availability of OASIS-C.
Comment: One commenter was
supportive of the payment reduction.
The commenter stated that they
believed that unwarranted
overpayments attributable to coding
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practices should be recovered when
possible and that the reduction is
consistent with the experience of other
prospective payment systems. The
commenter stated that the payment
reduction should not create payment
adequacy or access to care issues since
HHAs are projected to have margins
exceeding 14 percent in 2011. The
commenter stated that CMS should
continue to examine nominal case-mix
growth in the future and adjust
payments accordingly.
Response: We thank the commenters
and will continue to monitor nominal
case-mix growth and implement
payment adjustments as needed. In
summary, we thank the commenters for
their thoughtful and comprehensive
comments. As we described above in
response to comments, we are finalizing
a phased-in implementation of a 5.06
percent reduction over 2 years, as some
commenters suggested. We believe that
by phasing-in the reductions over CY
2012 and CY 2013, we allow HHAs an
opportunity to adopt process
efficiencies associated with the CY 2011
legislative and regulatory requirements
prior to imposing the full 5.06 percent
payment reduction.
In CY 2011 rulemaking, we deferred
finalizing a proposed 3.79 percent
reduction to the CY 2012 national
standardized 60-day episode rates to
account for nominal case-mix growth
we identified through CY 2008 pending
an independent review of our method
for identifying real case-mix growth. We
believe that providers expected and
planned for us to impose a 3.79 percent
payment reduction in CY 2012. As such,
we are finalizing a 3.79 percent payment
reduction in CY 2012 and a 1.32 percent
payment reduction for CY 2013 to the
national standardized 60-day episode
rates. These reductions enable us to
account for the nominal case-mix which
we have identified through CY 2009, to
follow through with the planned 3.79
percent payment reduction for CY 2012,
and to allow for HHAs’ adopting process
efficiencies during CY 2012.
B. Case-Mix Revision to the Case-Mix
Weights
1. Hypertension Diagnosis Coding
Under the HH PPS
As stated in the CY 2012 HH PPS
proposed rule, in CY 2011 rulemaking,
we proposed to remove ICD–9–CM code
401.1, Benign Essential Hypertension,
and ICD–9–CM code 401.9, Unspecified
Essential Hypertension, from the HH
PPS case-mix model’s hypertension
group. Beginning with the HH PPS
refinements in 2008, hypertension was
included in the HH PPS system because
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the data used in developing the
refinements (data from 2003 and 2005)
suggested it was associated with
elevated resource use. As a result, the
diagnoses Unspecified Essential
Hypertension and Benign Essential
Hypertension were associated with
additional points from the four-equation
model and, therefore, with potentially
higher case-mix weights in the HH PPS
case-mix system. When examining the
trends in reporting of hypertension
codes from 2000 to 2008, our analysis
showed a large increase in the reporting
of codes 401.1 and 401.9 in 2008.
However, when looking at 2008 claims
data, the average number of visits for
claims with code 401.9 was slightly
lower than the average for claims not
reporting these hypertension codes. In
the CY 2011 HH PPS proposed rule
issued on July 23, 2010, we proposed to
remove codes 401.1 and 401.9 from our
case-mix model based on preliminary
analysis of the trends in coding and
resource use of patients with these
codes. We suspected that the 2008
refinements, which newly awarded
points for the diagnosis codes 401.1 and
401.9, led to an increase in reporting of
these codes and that this reporting was
a key driver of the high 2008 growth in
nominal case-mix.
In response to this proposed policy
change, we received numerous
comments, several of which stated that
additional analysis was needed to
substantiate the rationale for removing
hypertension codes 401.1 and 401.9. In
the CY 2011 HH PPS final rule, we
withdrew our proposal to eliminate
401.1 and 401.9 from our model and
stated our intention to do a more
comprehensive analysis of the resource
use of patients with these two
hypertension codes. As noted in our CY
2012 HH PPS proposed rule, we have
since completed a more thorough
analysis. Based on the results of our
latest analyses, we proposed to remove
ICD–9–CM code 401.1, Benign Essential
Hypertension, and ICD–9–CM code
401.9, Unspecified Essential
Hypertension, from the HH PPS casemix model’s hypertension group. Our
data showed there continued to be an
increase in the prevalence of ICD–9–CM
code 401.9 from 2008 to 2009. In
addition, agencies (regardless of
ownership type) typically had a twofold
or higher increase in the prevalence of
a 401.9 diagnosis from 2005 to 2009,
with the exception of the East North and
the West North Central regions, which
had an increase of about 1.7- and 1.5fold, respectively. Most compelling, our
analysis indicates that currently these
diagnoses are not predictors of higher
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home health patient resource costs.
Rather, current data indicates a lower
cost associated with home health
patients when these codes are reported.
The results from two regression models
testing the impact of the two
hypertension codes on resource costs
provided strong support for removing
the 401.1 and 401.9 diagnoses from the
case-mix system. The results showed
that the presence of these diagnoses is
associated with lower costs, when
controlling for other case-mix related
factors. Therefore, we proposed to
remove codes 401.1 and 401.9 to more
accurately align payment with resource
use.
In the CY 2011 HH PPS final rule, in
response to comments, we stated that if
we were to finalize removing these
codes from our case-mix system, we
would do so in such a way that we
would revise our case-mix weights to
ensure that the removal of the codes
would result in no change in aggregate
expenditures. Therefore, we proposed to
revise the HH PPS case-mix weights in
such a manner so as to not reduce
aggregate home health expenditures.
Please see the following section for
details on our revision to the case-mix
weights. The proposed revisions of the
case-mix weights redistributed HH PPS
payments among the case-mix groups
such that removal of these hypertension
codes was budget neutral.
2. Revision of the Case-Mix Weights
As we described in section II.B.1 of
this preamble, we proposed to revise
our HH PPS case-mix weights to remove
two hypertension codes from our casemix system while maintaining budget
neutrality. In the CY 2012 HH PPS
proposed rule, we also justified another
proposal for further revisions to the
case-mix weights because of incentives
that exist in the HH PPS to provide
unnecessary therapy services. We
described that our review of HH PPS
utilization data shows a shift to an
increased share of episodes with very
high numbers of therapy visits. This
shift was first observed in 2008 and it
continued in 2009. In last year’s
regulation, we described an increase of
25 percent in the share of episodes with
14 or more therapy visits. In the 2009
sample, the share with 14 or more
therapy visits continued to increase
while the share of episodes with no
therapy visits continued to decrease.
The frequencies also indicate that the
share of episodes with 20 or more
therapy visits was 6 percent in 2009
(data not shown), which is a 50 percent
increase from the share of episodes of
2007, when episodes with at least 20
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therapy visits accounted for only
4 percent of episodes.
Furthermore, we described that in
their 2010 and 2011 Reports to
Congress, MedPAC suggests that the HH
PPS contains incentives which likely
result in agencies providing more
therapy than is needed. In their March
2010 Report to Congress, MedPAC
stated that ‘‘therapy episodes appear to
be overpaid relative to others and that
the amount of therapy changed
significantly in response to the 2008
revisions to the payment system.’’ In
support of this statement, MedPAC
showed that in 2008, there was a
sudden shift to episodes with therapy
services at the new therapy thresholds,
which suggests inappropriate therapy
utilization. In their March 2011 Report
to Congress, MedPAC stated, ‘‘The
volume data for 2009 indicate that the
shifts that occurred in 2008 are
continuing * * * Episodes with 14 or
more therapy visits increased by more
than 20 percent, and those with 20 or
more therapy visits increased by 30
percent.’’
Also, in their March 2011 Report to
Congress, MedPAC suggested that the
current HH PPS may ‘‘overvalue therapy
services and undervalue nontherapy
services.’’ In this report, MedPAC
describes that HHA margins average
17.7 percent in 2009, with 20 percent of
agencies achieving an aggregate margin
of 37 percent. MedPAC further stated
that their analysis of high-margin and
low-margin agencies suggests that the
HH PPS overpays for episodes with high
case-mix values and underpays for
episodes with low-case-mix values.
Furthermore, MedPAC reported that
HHAs with high margins had high casemix values which were attributable to
the agencies providing more therapy
episodes (MedPAC, March 2011 Report
to Congress). MedPAC went on to assert
that ‘‘unless the case-mix system is
revised, agencies will continue to have
significant incentives to favor therapy
patients, avoid high-cost nontherapy
patients, and base the number of
therapy visits on payment incentives
instead of patient characteristics.’’
We stated that we concur that the
therapy utilization shifts and the
correlation between high agency
margins and high volumes of therapy
episodes strongly suggest that the costs
which the HH PPS assigns to therapy
services when deriving the relative
payment weights are too high in
comparison to actual costs incurred by
agencies for therapy services. We
believe that one factor which
contributes to this overpayment for
therapy services is the growing use of
therapy assistants, instead of qualified
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therapists, to provide home health
therapy services. Current data suggest
that the percentage of therapy assistants
that is reflected in the therapy-wage
weighted minutes used in the
calculations of HH PPS relative resource
costs is too low. For our 2008
refinements, to construct the relative
resource costs for episodes, we used the
labor mix percentages reported in the
Occupational Employment Statistics
(OES) data by the Bureau of Labor
Statistics. In 2005, which is the year of
data that was used to develop the HH
PPS refinements, the OES data showed
that 15 percent of physical therapy was
provided by therapy assistants and that
11 percent of occupational therapy was
provided by therapy assistants. This
data was then used to develop the
resource costs for episodes which were
used to develop the current HH PPS
payment weights. In 2008, the OES data
showed that 19 percent of physical
therapy was provided by therapy
assistants and that 13 percent of
occupational therapy was provided by
therapy assistants. In addition, by 2009,
OES data has shown that the percentage
of physical therapy provided by therapy
assistants was 20 percent and the
percentage of occupational therapy
provided by therapy assistants was 16
percent. We noted that these statistics
reflect the mix for all home health
providers. We also noted that in CY
2011, we began collecting G-code data
on HH PPS claims which will enable us
to quantify the percentage of therapy
assistants who are providing therapy
and to assess how the percentages vary
relative to the quantity of therapy
provided and the type of provider. We
have since performed some preliminary
analysis on the G-code data, which is
further discussed in our responses to
comments.
In the CY 2012 HH PPS proposed
rule, we stated that we believe that
MedPAC has provided strong evidence
that our reimbursement for episodes
with high therapy is too high. Also,
based on MedPAC’s analysis and our
own findings, we believe that the
resource costs reflected in our current
case-mix weights for therapy episodes,
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in particular for those episodes with
high amounts of therapy, are higher
than current actual resource costs and
that an adjustment to the HH PPS
therapy case-mix weights is warranted.
We noted that fully addressing
MedPAC’s concerns with the way the
HH PPS factors therapy visits into the
case-mix system will be a complex
process which will require more
comprehensive analysis and potentially
additional structural changes to the HH
PPS. While we plan to address their
concerns in a more comprehensive way
in future years, for CY 2012 we
proposed to revise the current case-mix
weights by lowering the relative weights
for episodes with high therapy and
increasing the weights for episodes with
little or no therapy. It should be noted
that we proposed to revise the case-mix
weights in a budget neutral way. In
other words, our proposal redistributed
some HH PPS dollars from high therapy
payment groups to other HH PPS casemix groups, such as the groups with
little or no therapy. We believe our
proposed revision to the payment
weights would result in more accurate
HH PPS payments for targeted case-mix
groups while addressing MedPAC
concerns that our reimbursement for
therapy episodes is too high and our
reimbursement for non-therapy episodes
is too low. Also, we believe our
proposed revision of the payment
weights will discourage the provision of
unnecessary therapy services and will
slow the growth of nominal case-mix.
Our detailed approach, analysis, and
case-mix revision methodology which
supported our proposal was described
in our CY 2012 HH PPS proposed rule.
Before we described our approach to
revise the case-mix weights to address
therapy incentives, we first explained
the changes we made to remove the
hypertension diagnoses ICD–9–CM code
401.1, Benign Essential Hypertension,
and ICD–9–CM code 401.9, Unspecified
Essential Hypertension from our casemix system. Our method of
redistributing the resources started with
changes to the four-equation model,
which is the foundation for the
subsequent revised payment regression
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and creation of revised case-mix
weights. The changes to the fourequation model as described in the
proposed rule are reiterated below.
To examine the effects of removing
the two hypertension codes 401.1 and
401.9 from the case-mix system and
determine whether the thresholds for
the clinical severity indicators need to
be changed if 401.1 and 401.9 are
removed from the case-mix system, we
estimated the four-equation model with
and without codes 401.1 and 401.9 in
the hypertension group. We used 2005
data for this estimation because we
wanted to achieve comparability
between the current four-equation
model with the revised four-equation
model without the two hypertension
codes using the same sample upon
which we based the 2008 case-mix
system refinements. We estimated the
revised four-equation model to maintain
the same variables we developed for our
current four-equation model and
thereby minimize changes to our current
model and scoring system. The adjusted
R-squared value for the four-equation
model without codes 401.1 and 401.9
derived from 2005 data was 0.4621. We
then used the coefficients from the fourequation model without codes 401.1
and 401.9 to determine the points which
would be associated with all the clinical
and functional severity levels found in
our current four-equation model, as
described on Table 2a of the CY 2008
HH PPS final rule (Table 3). We note
that Table 3 has been updated since the
CY 2012 HH PPS proposed rule to
reflect OASIS-C items.
When comparing the four-equation
model with the two hypertension
diagnoses (which is equivalent to our
current model) to the four equation
model without the two hypertension
diagnoses, there were some differences
in the points assigned to variables
(Table 4). We detailed these differences,
which were no larger than one point in
the 58 (out of 225) variables affected.
Table 3 shows the points for each
variable after the re-estimation of the
four-equation model.
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In the CY 2012 HH PPS proposed
rule, we also stated that we examined
how episodes in the sample shifted into
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a different clinical severity level when
going from a four-equation model that
includes 401.1 and 401.9 to a fourequation model that does not include
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401.1 and 401.9. It should be noted that
a small number of episodes also
changed functional groups. In our
analysis, we looked at the distribution
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of episodes in each clinical severity
level (low, medium, high) by the fourequation model indicators (early/late
episodes and low/high therapy
episodes). When comparing the
distribution of episodes using the fourequation model without the 401.1 and
401.9 hypertension codes to the
distribution of episodes using the fourequation model with the hypertension
codes (our current four-equation model),
there was a similar distribution of
episodes between the low, medium and
high clinical levels, for each of the fourequation model indicators. We also
looked at the distribution of episodes in
each functional severity level by the
four-equation model indicator. There
was also a very similar distribution of
episodes for the three functional
severity levels using the four-equation
model without the two hypertension
codes compared to the distribution of
episodes using the current four-equation
model, for each of the four-equation
model indicators. Since the fourequation model without the
hypertension codes 401.1 and 401.9 had
similar clinical and functional
distributions of episodes as the current
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model, we decided that it was not
necessary to change the thresholds for
the clinical and functional severity
levels.
We revised the payment regression
model using the clinical and functional
severity groups constituted after
removal of the hypertension codes. In
addition, as we described in the
proposed rule, at this stage of case-mix
system redevelopment, we decided to
implement a revision of the weights
using a new method of decelerating
therapy resources with higher numbers
of therapy visits. The new method
involved the removal of the therapy
visit step indicators from the payment
regression model (a step indicator is a
subgroup of episodes defined by a range
of therapy visits, such as 7 to 9 therapy
visits). This approach has the advantage
of staging the introduction of clinical
and functional severity levels into the
model as a separate step, to avoid
excessive influence on the clinical and
functional effects from numerous
therapy step variables that would
otherwise be simultaneously entered
into the regression. In other words, we
eliminated the therapy visit step
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indicators from the payment regression
model to ensure that more of the
resource use would be captured by
clinical and functional variables, rather
than therapy variables. Later, we
implemented a method to account for
the resource use for the therapy step
variables. The new payment regression
model that was developed estimated the
relationship between an episode’s total
resource cost (as measured in dollars
corresponding to wage weighted
minutes) and the clinical severity
indicators, functional severity
indicators, and four-equation indicators
(early/late episodes and low/high
therapy services).
It should be noted that for the
payment regression model, we used data
from 2007, which is the most recent
data available before the
implementation of the HH PPS
refinements. The coefficients for the
payment regression model using 2007
data can be found in Table 5. The
adjusted R-squared value for the
payment regression model using 2007
data is 0.3769.
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The raw weights for each of the 153
groups were then calculated based on
the payment regression model. It should
be noted that the raw weights do not
change across the graduated therapy
steps between the therapy thresholds. In
the next step of weight revision, the
weights associated with 0 to 5 therapy
visits were increased. The weights
associated with 14–15 therapy visits
were decreased and the weights
associated with 20+ therapy visits were
further decreased as well. These
adjustments were made to discourage
inappropriate use of therapy while
addressing concerns that non-therapy
services are undervalued. As stated in
the CY 2012 HH PPS proposed rule, the
larger reduction factor for episodes with
20 or more therapy visits compared to
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the reduction factor for episodes with 14
to 15 therapy visits implemented a more
aggressive deceleration than we used in
the current weights. Currently, there is
a high payment weight associated with
the 20 or more therapy visit threshold
to capture the costs associated with
providing 20 therapy visits, as well as
numbers of therapy visits well beyond
20 therapy visits. As a result, there is a
large increase in the payment weight
between the 18–19 therapy visit step
and the 20 or more therapy visit
threshold. This large increase in the
payment weight may create incentives
for agencies to provide unnecessary
therapy visits to reach the 20 therapy
visit threshold, and may explain
MedPAC’s observation that there was a
larger increase in the number of
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episodes in the 20 or more therapy visit
group than the 14 or more therapy visit
group. By implementing a larger
reduction to episodes with 20 or more
therapy visits, we will provide a
disincentive for agencies to pad
episodes just to 20 visits or slightly
more, to be able to realize a large margin
from that threshold, which was
designed to pay for not only episodes
involving 20 or just above 20 therapy
visits, but also episodes involving
considerably more than 20 therapy
visits.
After the adjustments were applied to
the raw weights, the weights were
further adjusted to create an increase in
the payment weights for the therapy
visit steps between the therapy
thresholds. Weights with the same
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clinical severity level, functional
severity level, and early/later episode
status were grouped together. Then
within those groups, the weights for
each therapy step between thresholds
were gradually increased. We did this
by interpolating between the main
thresholds on the model (from 0–5 to
14–15 therapy visits, and from 14–15 to
20+ therapy visits). We used a linear
model to implement the interpolation so
the payment weight increase for each
step between the thresholds (such as the
increase between 0–5 therapy visits and
6 therapy visits and the increase
between 6 therapy visits and 7–9
therapy visits) was constant. The
interpolated weights were then
normalized so that the average case-mix
weight in the 2007 sample was equal
to 1.
After applying the adjustments to the
raw weights, applying the interpolation
between the therapy thresholds, and
normalizing the weights so that the
average case-mix for the weights was
equal to 1 in the 2007 sample, we
applied a budget neutrality factor to the
weights to ensure that the case-mix
weights result in aggregate expenditures
in 2009, which was the most current
and complete data available to us, equal
to expenditures using the current
payment weights. It is important to note
that our authority allows us to reduce
home health payments only as
described in section 1895(b)(3)(B)(iv) of
the Act. As such, we must revise our
payment weights in a budget neutral
manner. Therefore, after deriving
revised relative case-mix weights, we
increased the weights to achieve budget
neutrality to the most current, complete
data available, which was 2009. In the
CY 2012 proposed rule, as we described
in section A of this final rule, we
proposed to reduce payments under our
authority in section 1895(b)(3)(B)(iv) of
the Act to reduce the home health base
episode payment to account for nominal
case-mix growth through 2009.
We also noted that we would
continue to evaluate and potentially
refine the payment weights as new data
and analysis became available. We
discuss our new data, analysis, and
changes to the proposed payment
weights in our comment responses
below.
The following is a summary of the
comments we received regarding the
proposal to revise the HH PPS case-mix
weights.
Comment: Commenters stated that the
levels of weight changes are more
arbitrary than evidence based and it
appears that CMS picked a level of
adjustment rather than develop a real
analysis of the differences in episode
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costs/resource use from episode
reimbursement rates. Commenters
stated that the proposal to increase and
decrease therapy episode case-mix
weights is not supported by any
evidence that the therapy related
episode case-mix weights have a
different relative resource cost today
than they did in 2008 when CMS
implemented the refinements. The
commenters also stated that there is no
resource cost change rationale for the
proposed change in case-mix weights. In
addition, commenters stated that they
would like the data to directly show that
the resource costs justify the specific
adjustments proposed. Some
commenters stated that if the payment
model improperly incentivizes the
provision of therapy care with higher
than warranted payment rates, there
should be data available to show the
extent to which therapy episodes are
overpriced and what level of payment
would be appropriate. Commenters
suggested that CMS undertake a study to
provide additional rationale for the
proposed adjustments to the case-mix
weights.
Response: As we stated in the CY
2012 HH PPS proposed rule, we believe
that MedPAC has provided strong
evidence that our reimbursement for
episodes with high therapy is too high.
Also, based on MedPAC’s analysis and
our own findings, we believe that the
resource costs reflected in our current
case-mix weights for therapy episodes,
in particular for those episodes with
high amounts of therapy, are too high
and that an adjustment to the HH PPS
therapy case-mix weights is warranted.
In the proposed rule, we stated that
we would continue to analyze therapy
resource costs as more current and
complete data became available. Since
the publication of the proposed rule,
complete 2009 CR data and partial 2011
claims data, which include the new
therapy G-codes, have become available.
These data have enabled us to expand
on MedPAC’s and our analysis for this
final rule.
We performed a variety of analyses to
look at the resource costs of home
health episodes, particularly those
episodes with high therapy. As part of
the analysis, we have developed
methods to examine cost data from
freestanding HHAs’ MCRs for FY 2009.
The methodology involves an initial
screening for incomplete and
questionable data (for example, extreme
ratios of payments to costs) similar to
MedPAC’s ‘‘trimming’’ methodology
and two additional trims, one which
excludes providers whose Medicare
home health outlier payments exceeded
10 percent of their total Medicare home
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health payments and another which
trims extreme values at the top and
bottom 1 percent of the distribution of
costs per visit for each discipline. We
excluded providers whose Medicare
home health outlier payments exceeded
10 percent of their total Medicare home
health payments because in CY 2010
rulemaking, we found an association
between high outlier payments and
providers with questionable billing
practices. We note that since only nonaudited MCRs are available, we found it
necessary to perform trims to ensure
reasonably accurate cost estimates.
Using the trimmed MCRs, we developed
agency specific costs per visit for each
discipline. In the sample of 4,309 MCRs,
if a particular agency’s cost-per-visit for
a discipline was trimmed out when the
trimming methodology was applied to
the MCRs, the average cost-per-visit for
all MCRs in the sample was used for
that agency. For example, if a MCR had
a value for the cost-per-visit for physical
therapy that was in the top or bottom 1
percent of the distribution of cost-pervisits for physical therapy, that value
would be imputed as the average costper-visit from values retained in the
data after trimming. If any agency
needed all 6 discipline costs-per-visits
imputed, its MCR was excluded from
the dataset. We imputed the cost-pervisit using the average cost-per-visit in
approximately 10 percent of instances.
Most of the imputations involved
occupational therapy, speech therapy,
and medical social work, which together
account for a relatively small share of
visits. Combined these three disciplines
accounted for only 1.5 visits out of total
visits per episode, which averaged 18.8
visits in 2009.
The file preparation procedure
described above resulted in a dataset
consisting of 4,309 MCRs from
freestanding agencies in 2009,
approximately half the number in the
original MCR file. Most of the losses
occurred at the initial screening stage
(incomplete and questionable data). We
examined characteristics of the agencies
represented in the final sample, and
found that distributions in the original
and final samples were very similar.
Unsurprisingly, however, small agencies
(with fewer than 95 episodes) were
nearly halved as a proportion of all
agencies represented in the MCRs; they
accounted for approximately 7.5 percent
of the MCRs we used. These agencies
tended more often to have incomplete or
questionable data in their MCRs.
After developing agency specific costs
per visit for each discipline, we merged
the MCRs with 100 percent of the
included providers’ claims for 2009. We
estimated the cost of each provider’s
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exceeds costs by about 30-percent for
normal episodes with 14 or more
therapy visits. We defined normal
episodes as non-LUPA, non-PEP, nonoutlier episodes. Because the
reimbursement for episodes with at least
14 therapy visits is high, the 30 percent
estimate represents a large financial
incentive. For instance, our analysis
shows that in 2009, the average amount
that payment exceeded cost for a normal
episode with 14–19 therapy visits was
more than $1100 (Table 6) and the
average amount that payment exceeded
costs for a normal episode with 20 or
more therapy visits was more than
$1500 (Table 7). We note that the
average amount that payment exceeded
costs for a normal episode with 1 to 5
therapy visits was around $300. Ideally,
we wish to avoid marked differences in
the amount that payment exceeds costs
for different types of episodes to lessen
the incentive to admit certain types of
patients to maximize Medicare
reimbursements.
We conducted a simulation to
examine our proposal’s impact on
margins and profit for different
categories of episodes, using the data
from the MCR providers that was also
found in the 20 percent sample of 2009
claims from which we estimate the
proposed rule’s reimbursement impacts.
The analysis was based on 3,361
providers whose MCR period was
precisely matched to the time period
covered by the claims (that is, MCR
periods had to begin and end in 2009).
Although this sample was smaller than
the cleaned CR sample from which we
estimated per-episode costs and
payments in 2009, the distributions of
provider characteristics were changed
little by the reduction in agencies. The
simulation incorporated the proposed
payment weights and the other payment
parameters in our proposal (that is, a
5.06 percent payment reduction due to
nominal case-mix growth, the wage
index, and rate updates). The simulation
updated the costs of episodes to 2012
dollars using the market basket increase
and estimated the payment for episodes
in terms of 2012 dollars. This analysis
suggested that all episodes would have
payments in excess of estimated costs,
except for some episodes in the 20 or
more therapy visit group. We note that
about half of the episodes with 20 or
more therapy visits would break even or
retain a positive margin under the
proposed revised case-mix weights.
About 6 percent of episodes nationally
in 2009 had 20 or more therapy visits.
However, the results of this analysis
also indicated that the revised case-mix
weights in the proposed rule would
result in episodes with 14 or more
therapy visits having considerably less
payments in excess of estimated costs
than episodes with less than 14 therapy
visits.
We note that our analyses of the costs
to reimbursement for high therapy
episodes clearly indicates that we are
currently overpaying for these episodes
and we believe an adjustment to the
case-mix weights for high therapy
weights is necessary. However, based on
the results of our simulation analysis on
our proposed weights, we decided to
test whether a different set of payment
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episodes by multiplying the number of
visits, by discipline, by the average costper-visit, by discipline, calculated from
the provider’s MCR. Due to data
incompleteness and reliability issues
related to costs and payments for nonroutine medical supplies (NRS), we did
not include NRS in our estimate of the
costs or payments.
We compared the costs of these
episodes to their Medicare payment.
Our analysis of the differences in
episodes’ costs and reimbursements
suggests that payment on average
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68557
the use of therapy assistants (G-code
data) and we plan to make adjustments
accordingly. In the CY 2011 HH PPS
final rule, we finalized a requirement
that HHAs report G-codes on the HH
PPS claims which differentiate therapy
provided by a qualified therapist versus
therapy provided by a therapy assistant.
We have preliminary data using claims
from early in the period after reporting
of the G-codes began in 2011. We have
assessed how the percentages of therapy
provided by a therapy assistant vary
relative to the quantity of therapy
provided. In our analysis, we looked at
claims which had a start date on or after
April 1, 2011 and examined the
percentage of therapy provided by
therapy assistants for various levels of
therapy, such as episodes with 1–5
therapy visits, 6–9 therapy visits, 10–13
therapy visits, 14–19 therapy visits, and
20+ therapy visits. In addition, we
looked at the percentages of therapy
provided by therapy assistants when
episodes from all providers were
included and when episodes from
providers in areas where suspect billing
practices are relatively widespread were
excluded. The results from these two
analyses were similar.
Table 8 shows the percentage of
therapy visits provided by therapy
assistants when providers in areas
associated with suspect billing practices
are excluded. The overall results suggest
that on average our assumptions, built
into the resource cost estimates
concerning the share of physical therapy
assistants in the labor force are
somewhat lower than reported so far in
the G-code data. In 2007 (the data year
used to estimate the payment regression
leading to the relative weights), the
assumption concerning the proportion
of the labor share for physical therapy
assistants was 17 percent. The national
average in the initial G-code data for
physical therapy assistants is 22.1
percent. For occupational therapy, the
results were different. The assumption
concerning the labor share proportion
for occupational therapy assistants was
12 percent, while the national average
in the G-code data for occupational
therapy assistants is very similar, 11.8
percent.
Further results from the G-code data
show that there is variation in the
percentage of physical therapy provided
by therapy assistants and the percentage
of occupational therapy provided by
therapy assistants when different levels
of therapy are provided. The initial Gcode data suggest the percentages of
physical therapy visits provided by
therapy assistants for episodes with 14–
19 therapy visits and 20+ therapy visits
are 25.9 percent and 29.0 percent,
respectively. We note that these results
seem to indicate that providers may be
using more therapy assistants for
episodes with high therapy, and
therefore, the costs for these high
therapy episodes may be even less than
what was reflected in our earlier cost-toreimbursement analyses. Furthermore,
we note that the OES data produced by
the Bureau of Labor Statistics showed
that in 2009, 20 percent of physical
therapy was provided by therapy
assistants and that 16 percent of
occupational therapy was provided by
therapy assistants.
We believe our analysis of the Gcodes indicates that the new
adjustments to the case-mix weights
may be conservative. We have decided
to use a conservative approach while we
wait for more complete data. We will
continue to analyze data as they become
available and may make further
adjustments to the case-mix weights if
necessary.
Comment: Commenters stated that
CMS should develop the necessary
objective clinical and financial data to
support any change in case-mix weights
for therapy related episodes prior to
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adjustment factors would result in more
even payments in excess of estimated
costs across therapy and non-therapy
episodes. As stated in the proposed rule,
we examined a number of different sets
of adjustments when developing the
payment weights. One of the sets of
adjustments was an adjustment where
the weights associated with 0 to 5
therapy visits were increased by 3.75
percent, the weights associated with 14–
15 therapy visits were decreased by 2.5
percent, and the weights associated with
20+ therapy visits were decreased by 5
percent. We applied this set of
adjustments in the same manner as the
adjustments we originally proposed.
When re-running the simulation
analysis on these new weights, we saw
relatively even payments in excess of
estimated costs across the various types
of episodes, including episodes with
14–19 therapy visits, episodes with 20–
25 visits, episodes with low therapy,
and non-therapy episodes. It should be
noted that episodes with 26 or more
therapy visits did not have payments in
excess of estimated costs; however, we
believe there are efficiencies used when
providing these high therapy episodes
and that the costs we estimated for these
episodes are higher than actual costs. In
addition, some of these high therapy
episodes may be eligible for outlier
payments. As a result of the findings
from the simulation analysis, which
show relatively even payments in excess
of estimated costs across episodes, we
are finalizing these new weights created
using the new adjustment factors.
We note that for future rulemaking,
we plan to do further analysis using
audited CRs, if available, and data on
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implementing any change in the
weights. Commenters recommended
that CMS limit changes to those that
have a reliable and transparent base in
evidence. Another commenter
recommended that CMS refrain from
methodology which only shifts
reimbursement to different parts of the
model and instead focus on working
with the industry to make more
substantive and appropriate changes
that stabilize home care reimbursement
and provides more accurate payment.
The commenter stated that payment
cuts and methodology changes that can
influence clinical behavior have not
been successful at accurately paying for
therapy services and may have
disproportionately harmed providers
that are providing appropriate levels of
care.
Response: We wish to point out to
commenters that our revised approach
to deriving weights for therapy-related
episodes shares a fundamental
commonality with the method used to
derive the weights currently. As we
described in our CY 2008 proposed and
final regulations (72 FR 25363 and 72
FR 49764), in the four-equation model
regression equation, we imposed a
deceleration in the marginal increase in
resources with each added therapy visit.
We did this by imposing restrictions on
the coefficients of the therapy visit
variables during regression estimation.
In fact, data analysis before imposing
those restrictions showed no clear trend
for the trajectory of growth in resources
as therapy visits increased. Thus, the
data did not provide a sensible guide.
Commenters seem to assume that
‘‘objective’’ clinical and financial data
would provide a clear answer for
modeling resources in therapy-related
episodes, but this isn’t necessarily the
case. We decided that a declining
amount for marginal resources is
appropriate in view of the need to
address incentives to overuse therapy.
After observing unexpected increases in
episodes of 14 or more therapy visits, as
well as other evidence and analysis
bearing on the profitability of those
categories of episodes, we sought a more
aggressive approach.
We pursued a data-driven approach at
many decision points in this year’s
modeling procedure. We examined the
results from various perspectives,
including graphically. The main impact
of the changes to our modeling
procedure was generally to dampen the
upward slope of the weights. Please
refer to the Abt report ‘‘Revision of the
Case-Mix Weights for the Home Health
Prospective Payment System Report’’
located at https://www.cms.gov/center/
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hha.asp for additional information
about the trends in the weights.
In addition, our methodology was
designed to be budget neutral. Our
intention was to redirect resources to
groups in accordance with updated
information on resource use, to avoid
having therapy resources dominate the
results of the resource modeling
procedure, and to reduce incentives to
provide higher numbers of therapy
visits than would be clinically
indicated. We would be concerned that
an approach which, as recommended by
commenters, depends on negotiation
with providers would stray too far from
the data in the absence of clear
consensus about how to treat patients in
different situations.
Our simulation of profits suggests that
our proposals move away from gross
overpayment for high therapy cases to
more even payments in excess of
estimated costs across episodes with
varying levels of therapy. We
understand that in occasional
circumstances this approach may be
interpreted to mean that clinicians no
longer would enjoy decision-making
unfettered by cost considerations when
faced with high-therapy-need patients.
We wish to remind providers that
utilization and cost data in health care
contain a large random element;
therefore, it is not possible to predict the
cost of every case with the hoped-for
precision. We anticipate that our current
research, as provided for in Section
3131 of the Affordable Care Act, will
ultimately advance the precision of our
payment groups, and this mandate has
involved and will continue to involve
consultation with providers. However,
at the current time we are obliged to use
the data available to increase the
accuracy of the HH PPS.
Comment: Commenters stated that
CMS failed to take into account the
greater administrative costs associated
with providing high therapy visits.
Response: We do not have data in the
MCRs or reliable data from commenters
allowing us to estimate additional costs
as mentioned in the comment. At this
time, based on our data analysis
described earlier in this section and
MedPAC’s analyses, we believe that a
substantial incentive exists to provide
increasing numbers of high-therapy
episodes and we conclude that high
therapy episodes are excessively
overpaid.
Comment: Some commenters stated
that they agree that the reimbursement
for high therapy episodes is too high
and that it is appropriate to adjust
relative case-mix weights to better align
resource use associated with care plans.
Commenters stated that the proposed
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changes to the case-mix weights would
improve access for patients who need
non-therapy services and reduce the
incentive to manipulate therapy visits to
reap higher payments. Also,
commenters stated that by reducing the
overpayment associated with high
therapy groups and redistributing it to
lower therapy and other groups, CMS
has encouraged more appropriate
therapy use based on need.
Furthermore, commenters stated that
the proposed changes in the case-mix
weights will help to decrease future
nominal case-mix growth. Commenters
believed that the proposed changes to
the case-mix weights will reduce waste
and help assure patients who need
therapy will get the appropriate amount.
Some commenters stated that they value
the ongoing cooperation and
collaboration on policy issues.
Response: We thank the commenters
for their feedback and we appreciate the
support.
Comment: Commenters stated that the
case-mix weight changes are proposed
to modify provider behavior by
removing ‘‘incentives’’ for increased
therapy utilization. They stated that the
adjustments have the sole intent of
changing clinical behavior for HHAs.
Commenters stated that CMS should not
use a payment model to direct clinical
care planning and patient admission
practices to address any concerns in
care utilization.
Response: We disagree that our
proposals are intended to force a change
in clinical behavior. The purpose of the
revision to the case-mix weights is to
more accurately pay for services. We
also wish to discourage provision of
unnecessary therapy services and slow
nominal case-mix growth. When we
proposed and finalized the 153-group
system, we stated our concern that
clinical judgment had been overtaken by
financial incentives. Subsequent
utilization data showing a sudden shift
in the proportion of episodes with very
high numbers of therapy visits
suggested that agencies were providing
high amounts of therapy to maximize
reimbursements. Since our simulations
indicate that providers will be
adequately or more than adequately
paid for varying numbers of therapy
visits within episodes, except perhaps
in some cases for episodes with the
highest numbers of therapy visits, we
believe the proposed system of weights
will be accommodating to clinical
judgment.
Comment: Commenters stated that
there should not be an across the board
reduction in the payment for episodes
with high therapy visits but rather CMS
should conduct targeted medical review
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so that those HHAs that are properly
using therapy services are not punished
for the actions of others. In addition,
commenters stated that by
implementing an across the board
payment cut, agencies that have been
more profitable may survive while
agencies that have smaller margins may
fail, thus potentially preserving those
who may be committing abuse.
Response: Although we appreciate the
commenters’ suggestion, we cannot act
on it because our resources are not
sufficient to conduct claims review on
a scale that would be required. In
addition, we would like to clarify that
our method of adjusting the therapyrelated episode weights did not result in
an across the board reduction.
Procedures we followed at the
beginning of weight construction, based
on 2007 data, resulted in a realignment
of the weights. At the end of the weight
construction process, we examined the
change in weights and noted a wide
range of differences in the weights, both
positive and negative. Furthermore, we
do not believe we are punishing
agencies for the actions of others. The
revision of the payment weights should
result in relatively even payments in
excess of estimated costs across various
types of episodes, and therefore, result
in more appropriate payment for
services.
Comment: Commenters were
concerned by the use of four year old
data (data from 2007). Commenters
stated that just as the 2008 data may be
tainted due to the impact of the change
in therapy thresholds, the 2005 data
may also be tainted due to the impact
of the 10-visit single therapy utilization
threshold.
Response: We used 2007 data in our
payment regression model because of
our concerns about the reliability of the
data from 2008 or later. In 2008, we
implemented refinements to the HH PPS
and our analysis showed an increase in
nominal case-mix growth of about 4
percent, when previous years showed a
case-mix growth of only 1 percent. In
addition, MedPAC commented on a
sudden change in the provision of
therapy after the three therapy
thresholds were implemented in 2008
and a decrease in episodes with no
therapy. Due to these observations, we
were concerned about using data from
2008 or later. We also described in our
proposed rule that during the process of
revising the case-mix weights, we
originally re-estimated the payment
regression model on 2008 data using the
same dependent and independent
variables as the payment regression
model in our 2008 refinements and we
compared the results to the current
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payment regression, which was based
on 2005 data. We saw that if we were
to use 2008 data in our payment
regression to develop the weights, the
regression would assign a higher
relative resource cost to high therapy
episodes and would assign a lower
relative resource cost to episodes with
little or no therapy than was assigned
when deriving the current weights.
Given MedPAC’s conclusion that the
payment system overvalues therapy and
undervalues non-therapy episodes and
the sudden change in the distribution of
therapy episodes, we decided to use the
most current pre-refinement data in our
payment regression model, which was
from 2007. We believe the 2007 data are
more reflective of costs associated with
patients’ actual clinical needs than the
2008 and later data.
Comment: Commenters stated that
there is no evidence that the level of
therapy visits provided to patients is
unnecessary. Commenters stated that
CMS has not reviewed the claims
involving the therapy visits to see if the
level that was provided is unnecessary.
Other commenters stated that there is no
unnecessary utilization of therapy
services by HHAs in their area and that
the overuse of therapy services is a
perception and not data based. They
stated that therapy services are limited
in their rural community and there are
not enough therapists for HHAs to
overutilize their services.
Response: The Senate Finance
Committee recently performed an
investigation of the nation’s three largest
home-health companies and found that
‘‘they encouraged employees to make
enough home-therapy visits to reach
thresholds that triggered bonus
payments, whether or not the visits
were medically necessary’’ (‘‘HomeHealth Firms Blasted’’, October 3, 2011,
Wall Street Journal, p. B1). In addition,
our analysis showed a 1-year change in
the distribution of therapy services in
2008 and showed that a significant
portion of case-mix growth in 2008 and
2009 was due to the increased provision
of therapy services. Furthermore, our
analysis on the costs of high therapy
services showed that the payment
exceeds costs by 30 percent or more.
Our analysis indicated that the average
cost of episodes with 14–19 therapy
visits and the average cost of episodes
with 20+ therapy visits are more than
$1100 and $1500 below Medicare
reimbursement levels, respectively.
Therefore, we believe there is a payment
incentive to provide high therapy
services and that certain agencies may
be providing more therapy services to
maximize reimbursement. The goal of
the revision to the case-mix weights is
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to more accurately pay for services and
since data indicates that we are
overpaying for services, we are revising
our weights to better reflect costs. In
addition, based on our analysis of the
costs and our predictions about the
payment with the new case-mix
weights, almost all episodes with high
therapy will still be paid above costs
and that payment under the new
weights will result in more similar
payments in excess of estimated costs
across episodes with varying levels of
therapy than our current weights,
thereby encouraging more appropriate
therapy use based on patient need rather
than reimbursement.
Comment: Commenters suggested that
CMS convene a technical expert panel
of therapists and nurses to examine the
appropriate use of all therapist
assistants and nursing personnel in the
home health benefit before
implementing any changes to the HH
PPS based on the premise that the
utilization of therapy assistants is not
clinically appropriate. One commenter
provided examples of the use of therapy
assistants. Commenters stated that there
is no evidence to suggest that there is
utilization of therapy assistants to
increase the number of visits provided.
Another commenter stated that the costs
for therapy assistant services cannot be
estimated by only looking at the
assistant salary levels but also must
include supervision time by the
therapist and other related costs. Other
commenters stated that therapy staffing
agencies charge the same amount for
therapist and therapy assistants, so
some agencies don’t see a decrease in
costs. The commenter stated that since
the OES data is not specific to Medicare
home health, CMS should wait to
review the data on G-codes and should
wait to collect a year’s worth of data
before implementing any changes.
Response: Commenters are mistaken
in concluding that our proposals assume
that therapy assistants are
inappropriately used in home health
care. Our concern is that our
reimbursement rates are too high in
comparison to the actual costs incurred
by providers, including costs related to
recent shifts in the labor mix for
therapy.
Our cost-to-reimbursement analysis
used the average per-visit costs,
inclusive of allocated overhead and the
other costs of doing business for HHAs
(except, as noted previously, NRS costs).
The data available are not detailed
enough to discern the drawing of
resources to therapy assistant services as
suggested by the commenter. Our
analysis indicates that the average cost
of episodes with 14–19 therapy visits
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and the average cost of episodes with
20+ therapy visits are more than $1100
and $1500 below Medicare
reimbursement levels, respectively,
which leads us to believe that even
given unrecognized costs for therapy
assistant services, there would still be
an inappropriate overpayment. Our OES
data are limited to home health services,
among which Medicare is the dominant
payer for skilled services. The elements
used in our rate-setting process come
from national averages for firms in
North American Industry Classification
System (NAICS) Code 621600, Home
Health Care Services. We do not know
whether staffing agency practices as
described by the commenter are
widespread, but the data needed to
incorporate reliably such information in
resource cost estimates may be very
difficult to develop. Although OES data
also reflect services beyond Medicare’s
services, OES offers the most
representative labor mix data available
at this writing. We also note that
analysis of preliminary G-code data
shows a higher percentage of physical
therapy provided by therapy assistants
for episodes with high therapy than
what is reflected in the OES data, and
therefore, resource costs for episodes
with high therapy may be less than the
costs we used to develop our current
proposed weights. We agree with the
commenter that more accurate
information on therapy labor mix will
be available as a result of the G-codes
and we may consider making future
adjustments based on G-code
information.
Comment: One commenter stated that
there has been an increase in the past
several years in therapy utilization and
that only in recent years have they had
adequate therapists to meet patient
needs. In addition, the commenter
stated that their HHAs only minimally
use physical therapist assistants (PTAs)
and certified occupational therapist
assistants (COTAs) and that if CMS
implements their new policies, their
HHAs will be forced to reconsider/
increase their use of PTAs and COTAs
to survive.
Response: We are primarily
concerned with increasing use of high
numbers of therapy visits that may
represent padding of the treatment plan
to maximize reimbursement. Assuming
the commenter’s agency is meeting
patient needs and is cost efficient, we
see no reason why they would be
induced to increase their use of PTAs
and COTAs, especially if they think it
would represent a decline in quality.
We reiterate that our payment
simulations show adequate payment
relative to costs for all episodes, except
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for some episodes in the 20+ therapy
group, which may be eligible for outlier
payments.
Comment: A commenter stated that if
CMS moves forward with the revision of
the case-mix weights, then there should
be a three-year phase-in to the new
weights, beginning in 2012. The
commenter stated that the phasing in
would allow home care providers time
to adjust to the financial consequences
of the revised weights.
Response: Our analysis of the costs of
episodes with high therapy suggests that
the payments for normal 60-day
episodes with 14–19 therapy visits may
average approximately $1,100 more than
the costs and the payments for normal
60-day episodes with 20+ therapy visits
may average approximately $1,500 more
than the costs. Given the large positive
payments in excess of estimated costs
suggested by these data, we believe that
an adjustment to the weights is
necessary and to phase-in or defer
revising the weights any longer would
be wasteful.
Comment: A commenter
recommended that CMS adjust its
proposed policy and continue to pay the
current rates for certain groups such as
those patients discharged from the
hospital and entering their first or
second episode of home health.
Response: Our method of weight
construction takes account of the timing
of the episode but it does not consider
whether the patient was recently
discharged from the hospital. We
stopped using the patient’s preadmission location in the case-mix
algorithm in 2008 because of difficulties
agencies reported in obtaining accurate
data and because the impact on
resources was not clear in the 2005 data
used for the model. We plan to revisit
the role of pre-admission location as
part of our study mandated by Section
3131 of the Affordable Care Act. This
will be done in the context of studying
various kinds of new data that might be
used in payment adjustments, to
ameliorate possible access problems.
Comment: Commenters stated that
CMS has not examined the impact of the
new proposed rule and cannot predict
the effects of the implementation of the
change in case-mix weights.
Response: We disagree with the
commenter. As we described in
responses to commenters earlier in this
preamble, we have done simulations
that show that the revised case-mix
weights with the new adjustments
would result in more similar levels of
net reimbursements (payments in excess
of estimated costs) across episodes than
the net reimbursements resulting from
our current weights. In addition, Section
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IV shows the projected impacts of all of
our policies (including the payment
reduction for nominal case-mix growth).
These impacts represent a negative
impact on reimbursements well within
the Medicare margins that were
estimated by MedPAC.
Comment: A commenter
recommended monitoring quality
outcomes and patient satisfaction after
implementing these changes to ensure
that the changes do not adversely affect
patient care.
Response: We agree that tracking the
indicators mentioned by the commenter
is a good idea. We note that statistical
information on quality outcomes is
publicly available on the CMS Web site
for commenters to study. We anticipate
that patient satisfaction information will
be added to home health compare data
in the future. We intend to monitor the
effect of all of the provisions of this final
rule for unintended consequences.
Comment: Commenters stated that
due to the therapy requirements
implemented on April 1, 2011, there is
less flexibility in using the therapy
assistants.
Response: The therapy requirements
implemented in the CY 2011 HH PPS
final rule which require an assessment
by a qualified therapist at the 13th and
19th visit were meant to confirm that
the patient needs high therapy services
and to ensure more involvement of
qualified therapists in high therapy
cases. Research studies conducted by
Linda Resnick (of Brown University) et
al., entitled ‘‘Predictors of Physical
Therapy Clinic Performance in the
Treatment of Patients with Low Back
Pain Syndromes’’ (2008, funded by a
grant from the National Institute of
Child Health) and ‘‘State Regulation and
the Delivery of Physical Therapy
Services’’ (2006, funded in part through
a grant from the Agency for Healthcare
Research and Quality) concluded that
more therapy time spent with a
qualified physical therapist, and less
time with a physical therapy assistant,
is more efficient and leads to better
patient outcomes.
We note that according to our cost-toreimbursement analysis, we are
overpaying for high therapy services
and we are finalizing with this rule an
adjustment to the payment weights to
more accurately pay for these services.
We also note that preliminary analysis
of G-code data from 2011, the same time
period that the therapy requirements
were implemented, shows a higher
percentage of physical therapy provided
by assistants for high therapy cases than
is reflected in our current weights. We
will be continuing to examine the trends
in the G-code reporting going forward
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and we plan to use the information in
rate setting.
Comment: Commenters stated that
CMS needs to analyze data to see
whether their previous policies have
addressed issues with the use of
inappropriate therapy services before
implementing the change in case-mix
weights to address therapy issues. A
commenter stated that it was not
necessary to implement the payment
reductions since CMS implemented the
outlier policy and enhanced
documentation requirements for therapy
services.
Response: As stated earlier, the
purpose of the revision to the case-mix
weights is to more accurately pay for
services. We customarily base payment
revisions on the most recent data
available, consistent with our judgment
as to its integrity. At this time, the data
indicate that CMS is paying for episodes
with 14–19 therapy visits by an average
of more than $1100 over the agencies’
costs and is paying for episodes with
20+ therapy visits by an average of more
than $1500 over the agencies’ costs, and
as such CMS is overpaying for high
therapy cases. Previously implemented
policies were intended to promote
appropriate use of therapy and to
increase the involvement of qualified
therapists in high therapy cases to
ensure that therapy is being provided in
an efficient and effective manner. We
again refer to the studies which
described the improved patient
outcomes with greater qualified
therapist involvement. However, given
that existing data show such high
payments in excess of estimated costs
for high therapy episodes, we believe an
adjustment to the payment weights is
necessary to more accurately pay for
high therapy services.
Comment: Commenters stated that the
Affordable Care Act provisions along
with the payment reductions would
leave a huge negative impact on HHAs
and commenters suggested that CMS not
implement their proposed changes to
the case-mix weights.
Response: Our cost data show that we
are paying too much for high therapy
episodes, as our reimbursement exceeds
costs by about 30 percent. We believe it
is necessary to make adjustments to our
case-mix weights to more accurately pay
for high therapy episodes. Our
simulation analysis indicates that the
new, revised weights should still result
in payments in excess of estimated costs
for all high therapy episodes, except for
some episodes in the 20+ therapy group.
In addition, the new, revised weights
should result in relatively even
payments in excess of estimated costs
across episodes with varying levels of
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therapy, as well as episodes with no
therapy. As the Affordable Care Act
provisions come into play, we will
analyze reimbursement adequacy, as
well as beneficiary access to services
and make proposals accordingly.
Comment: Commenters urged CMS to
expedite that comprehensive study of
the case-mix system, to involve home
health industry experts in the process,
and to implement a revamped case-mix
system by 2014.
Response: We have included industry
representatives on the Technical Expert
Panel meetings conducted under the
Affordable Care Act Section 3131
research and demonstration project.
Further data collection and analysis will
be conducted over the coming two
years. Please see Section G for an update
on the status of the study.
Comment: Commenters stated that as
an alternative to the adjustments to the
weights, CMS should try to find cost
savings by stopping overpayment to
Medicare Advantage plans and
suggested that CMS hold them
accountable to the same Medicare
Compare outcomes that HHAs must
report.
Response: We disagree with the
commenter’s suggestion that CMS find
cost savings by stopping overpayment to
Medicare Advantage plans as an
alternative to implementing adjustments
to the weights. Our goal is to address the
overpayment for high therapy services
and we can only do so by adjusting the
case-mix weights for high therapy cases.
The goal of the revision of the case-mix
weights is not to achieve a cost savings;
we reiterate that the change in the casemix weights is budget neutral. (In
contrast, the case-mix adjustment to the
national standardized amounts is
intended to recover previous
overpayments that resulted from coding
practice changes.) The goal of the
weight adjustments is to more
appropriately pay for high therapy
services given our findings about the
costs for these services and MedPAC’s
request to address therapy
vulnerabilities.
Comment: Commenters stated that the
proposed case-mix weight changes
would increase the weights assigned to
episodes with no therapy visits;
however, commenters stated that these
non-therapy episodes have not had an
increase in relative resource costs since
2008.
Response: In their 2011 Report to
Congress, MedPAC suggested that HH
PPS may ‘‘overvalue therapy services
and undervalue nontherapy services.’’
MedPAC also stated that through their
analysis of high and low margin
agencies, they concluded that ‘‘episodes
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with high case-mix values are overpaid
and episodes with low case-mix values
are underpaid.’’ We also note that the
non-therapy episodes tend to have a
much higher rate of outlier cases than
episodes with therapy, and therefore,
HH PPS may not be sufficiently paying
for some of these episodes. In addition,
we conducted a preliminary analysis
looking at the differences in costs
relative to reimbursement across
different types of home health episodes
and different agency characteristics. The
findings suggested that unprofitable
episodes on average had significantly
more skilled nursing, home health aide
visits, and total visits than average,
while they also had fewer therapy visits.
Furthermore, the results suggested that
therapy and post-acute care episodes
were more likely to be more profitable
than mutually exclusive subpopulations
of non-therapy and community-referred
episodes, respectively. Moreover,
regarding the HHRG, less profitable
episodes were slightly more likely to be
assigned the lowest functional or service
utilization severity level (that is,
C1F1S1, C2F1S1, C3F1S1). We note that
this analysis did have some limitations.
One limitation was that nationally
aggregated costs were used instead of
individual agency costs. However, we
believe that the findings of the
preliminary analysis, along with our
observations of the incidence of outliers,
and MedPAC’s findings indicate that the
current system may undervalue nontherapy episodes.
Comment: Commenters stated by
increasing the weights for non-therapy
episodes, the proposal discourages
HHAs to provide any therapy. They
stated that the proposal will lead to an
adverse discrimination against patients
in need of therapy at all levels of need
and utilization. They stated that they are
concerned that the change in case-mix
weights will discourage rehabilitation
and patient self-sufficiency.
Response: We disagree with the
commenters. Our data shows that we are
currently overpaying for high therapy
services. Also, we proposed to increase
the weights for episodes with low
therapy. Therefore, we do not believe
that we are discouraging HHAs from
providing therapy. We believe by more
appropriately reimbursing for high
therapy episodes, we are encouraging
more appropriate therapy use based on
patient need. We note that when
projecting the payments for episodes
with high therapy, payments are
adequate and result in a profit, except
on average for a small number of
episodes with extreme levels of therapy,
which in some cases may be eligible for
outlier payments.
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Comment: Commenters stated that
there is a movement towards a
multidisciplinary approach to care and
utilization of broader ranges of therapy
services to improve outcomes and that
evidence based best practices have
improved patient outcome scores. They
stated that patients need a high number
of therapy visits to implement the
intervention practices, such as fall
prevention. In a similar vein, other
commenters stated that due to the use
of interdisciplinary care, there is an
increase in the provision of therapy and
coordination between physical therapy,
occupational therapy, and speech
language therapy. They stated that
proposed adjustments to the case-mix
weights do not account for the cost of
providing interdisciplinary care and
they suggested that CMS and the home
health community need to work
together to develop a new system that
accounts for the costs of the
interdisciplinary patient care. Other
commenters stated that OASIS data
shows continued functional
improvement in the status of home
health patients and that HHAs are
providing services well in excess of 20
visits in an episode despite the lack of
increase in payment after 20+ visits.
Commenters stated that CMS should not
consider all of the change to the higher
therapy groups as unnecessary.
Response: As part of our industry
outreach efforts associated with the
home health access study, we plan to
solicit input from the industry regarding
evidence pointing to the improved
outcomes from the multidisciplinary
approach, so that we can evaluate the
strength of it. We have noted previously
MedPAC’s concerns with the validity of
outcome measurement in home health
care. In addition, we reiterate that we do
not believe the new case-mix weights
will disincentivize interdisciplinary
patient care, as the payments for
episodes with high therapy are still
projected to exceed costs.
We also note that, as we described in
the CY 2011 HH PPS final rule (75 FR
70390 through 70391), research shows a
direct relationship between improved
patient outcomes, and the percentage of
therapy provided by qualified
therapists. As previously described,
research studies conducted by Linda
Resnick (of Brown University) et al.,
entitled ‘‘Predictors of Physical Therapy
Clinic Performance in the Treatment of
Patients with Low Back Pain
Syndromes’’ (2008, funded by a grant
from the National Institute of Child
Health) and ‘‘State Regulation and the
Delivery of Physical Therapy Services’’
(2006, funded in part through a grant
from the Agency for Healthcare
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Research and Quality) concluded that
more therapy time spent with a
qualified physical therapist, and less
time with a physical therapist assistant,
is more efficient and leads to better
patient outcomes. In these studies, the
lower percentage of time seen by a
qualified therapist and the greater
percentage of time seen by an assistant
or aide, the more likely a patient would
have more visits per treatment per
episode. The studies also concluded
that, although delegation of care to
therapy support personnel such as
assistants may extend the productivity
of the qualified physical therapist, it
appears to result in less efficient and
effective services.
The commenter suggests that high
therapy cases are the result of
interdisciplinary care. While
interdisciplinary therapy would
increase the volume of therapy
provided, we note that given the
apparent high percentage of therapy
assistants utilized in these episodes
when compared to other therapy
episodes, research would suggest that
inefficiencies in care may be a factor in
high therapy cases as well. Our current
payments for these episodes would
incentivize these inefficiencies.
Additionally, as we have described in
other comment responses, our
simulation analysis shows that the
revised weights will result in similar
payments in excess of estimated costs
for all episodes. As such, we believe we
are lessening the incentive to provide
particular types of episodes, while
providing adequate reimbursements.
Comment: Commenters stated that
CMS should institute safeguards to
monitor discriminatory patient
admission practices and misguided
clinical care practices.
Response: We appreciate this
comment but must point out that this is
a costly and difficult task. Eventually, as
a result of research mandated by the
Congress in section 3131(d) of the
Affordable Care Act, we hope to modify
the HH PPS to lower the risk of
discriminatory patient admission
practices. As part of the outreach efforts
for the section 3131(d) Affordable Care
Act study, we plan to solicit comments
on how we could launch a cost-effective
effort without imposing unacceptable
burdens on providers and patients. We
also encourage continued efforts in the
home health industry, aided by
Medicare quality initiatives, to improve
the consistency and appropriateness of
clinical care plans and their
implementation. In addition, we
reiterate that based on our simulation
analysis, we expect the new weights to
result in similar payments in excess of
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estimated costs episodes and should
therefore lessen discriminatory patient
admission practices in home health.
Comment: Commenters advised CMS
to analyze provider costs in 2011 and
2012 before implementing the change to
the case-mix weights.
Response: Due to the lag in providers’
preparation and submission of CRs, we
do not have a complete set of data on
provider costs for any given year until
more than one year after the end of the
year. As a result, the 2009 MCR data are
the most current, complete cost data
available. Given our analysis of the costs
and payment for high therapy episodes
using 2009 data, we believe that
Medicare is overpaying for high therapy
services by 30 percent or more. In
addition, as we mentioned in a previous
response, for our simulation analysis,
we updated the costs of episodes to
2012 dollars using the market basket
increase and estimated the 2012
payment for episodes. The simulation
analysis using the new weights
suggested that in 2012, the payment for
episodes will still exceed costs and that
there is a relatively even payments in
excess of estimated costs across
episodes, except for some episodes in
the 20+ therapy group. We note that
some of the episodes in the 20+ therapy
group may be eligible for outlier
payments.
Comment: Some commenters stated
that the proposal to change the case-mix
weights is premature and unproductive.
Other commenters stated that CMS
should dedicate their resources to
develop a case-mix adjuster that does
not use therapy utilization as a variable
in determining payment; instead CMS
should look into using patient
characteristics to pay for therapy.
Commenters stated that they would be
supportive of any change in the casemix weights that moves the model away
from using utilization factors in
determining payment.
Response: In their 2010 and 2011
Reports to Congress, MedPAC has urged
us to address the therapy incentives in
our payment system. We note that
completely addressing MedPAC’s
concerns with the way we factor therapy
services into our reimbursement will be
a complex process, requiring
comprehensive structural changes and a
great deal of additional research and
analysis. However, we believe there is
evidence that we are overpaying for
high therapy services and that it is
appropriate to revise the case-mix
weights now, to mitigate therapy
vulnerabilities in the short term while
we develop a longer term solution.
Comment: Commenters asked how
CMS would check that the changes in
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the case-mix weights would in fact be
budget neutral. A commenter stated that
in the past when changes in the HH PPS
resulted in profits to the industry, CMS
implemented a plan to recover the
excess reimbursement. The commenter
asked what would happen if the
industry was under-reimbursed by the
proposed changes, stating that in this
situation, the proposed changes would
not be budget neutral.
Response: We are uncertain what the
commenter’s concern is. As we
described earlier in this section, we
applied a budget neutrality factor to
ensure that the new weights result in
approximately the same aggregate
expenditures as 2009, the most current
data that were available. We equated the
aggregate expenditures by setting the
average of the case-mix weights under
the new revised weights equal to the
average under the current weights
which we reimbursed in 2009. A slight
difference between the aggregate totals
remained, due to the effects of outlier
payments. However, this difference
amounted to only 0.01 percent. Also we
reiterate that data shows that we are
overpaying for high therapy services
and we believe the new weights will
more accurately align payment with
costs. In addition, as stated in Section
II.A, we will continue to assess real and
nominal case-mix growth and if we
were to see real case-mix growth
increase more than the reported home
health case-mix growth, we would
increase payments accordingly.
Furthermore, since the HH PPS began,
the industry has never been underreimbursed in the aggregate and when it
was determined that certain LUPAs
were on average under-reimbursed, we
implemented the LUPA add-on to
compensate for the underpayment.
Comment: A number of commenters
stated that a failure to recalibrate the
whole system weights would result in a
change that was not budget neutral and
Federal law prohibits changes in casemix that are not budget neutral. Another
commenter requested that CMS explain
in detail the methodology used to
develop the budget neutrality
adjustment for the proposed case-mix
weights.
Response: As stated in the proposed
rule, to remove the two hypertension
codes from our case-mix system, we
needed to revise our case-mix weights to
redistribute the dollars without
reducing aggregate payments. To
redistribute the dollars, we re-estimated
the four equation models without codes
401.1 and 401.9. We then used the
results from the four equation model to
determine the clinical and functional
severity level groups for each episode.
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This information was then used to
estimate the payment regression model,
which in turn was used to develop the
weights. In addition, CMS has applied
a budget neutrality factor of 1.2832 so
that the new case-mix weights result in
approximately the same aggregate
expenditures as 2009. More details
about the methodology used to ensure
budget neutrality can be found in an
updated version of the Abt Associates
report ‘‘Revision of the case-mix weights
for the Home Health Prospective
Payment System’’ at https://
www.cms.gov/center/hha.asp.
We also note that the payment
reductions arising out of the nominal
case-mix changes we have identified are
not intended to be budget neutral
(discussed in Section II.A). We reduce
payment rates to account for nominal
case-mix change.
Comment: CMS should publicly
disclose the revised formula and factors
employed in the calculation of a revised
budget neutrality adjustment and
provide an opportunity for public
comment prior to finalization of the
revised case-mix weights.
Response: We note that the Abt
Associates report ‘‘Revision of the CaseMix Weights for the Home Health
Prospective Payment System’’ contains
details about the methods used to
achieve budget neutrality. This Abt
Associates report was made publicly
available around the same time that the
CY 2012 HH PPS proposed rule was
published. We have received comments
on our methodology during this
comment process. An updated version
of this report will be made available at
https://www.cms.gov/center/hha.asp.
Comment: Commenters stated that
CMS should update its occupational
mix assumptions in the 2012
refinements and that the increased use
of therapy assistants should be reflected
in the case-mix weights.
Response: We thank the commenter
for their comment and we would like to
clarify our methodology. As stated in
the Abt Associates report ‘‘Revision of
the Case-mix Weights for the Home
Health Prospective Payment System’’
which can be accessed at https://
www.cms.gov/center/hha.asp, the
payment weights are based on wageweighted time spent on home health
visits in our sample. The wages come
from estimates of the national hourly
wage for six disciplines of home health
care workers (skilled nursing, physical
therapist, occupational therapist, speech
language therapist, medical social
services, and home health aides) from
the Bureau of Labor Statistics
Occupational Employment Survey
(OES). When re-estimating the payment
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regression model on 2007 data, we used
the wage-weighted minutes based on the
2007 OES data for average labor mix
within each discipline and average
hourly wages, including benefits. The
2007 OES labor mix for physical
therapists is composed of 17 percent
physical therapist assistants, 1 percent
physical therapy aides, and 82 percent
physical therapists. The 2007 OES labor
mix for occupational therapists is
composed of 12 percent occupational
therapist assistants and 88 percent
occupational therapists. The payment
regression is modeling the wageweighted time (resources) as predicted
by the severity levels and therapy
variables for early and later episodes,
using 2007 claims. We note that before
updating the labor mix in the wageweighted minutes to more current data
than 2007, we will wait for more
complete G-code data. We will continue
to assess the accuracy of our case-mix
weights and may make adjustments in
future rulemaking as more G-code data
becomes available.
Comment: Commenters stated that
CMS should calculate the budget
neutrality adjustment to equate 2012
expenditures under the current and
proposed case-mix weight models.
Commenters recommended that CMS
recalculate the budget neutrality
adjustment to reflect the idea that HHAs
have experienced some ‘‘real’’ case-mix
change in 2010 and 2011 and will
experience more in 2012.
Response: We applied a budget
neutrality factor (1.2832) to the weights
to ensure that the final proposed
weights result in aggregate expenditures
in 2009 approximately equal to
expenditures using the current payment
weights. We made the weights budget
neutral to 2009 because the data from
2009 were the most current complete
data available at the time. Using the
most complete actual data available to
achieve budget neutrality is a method
consistent with case-mix weight
recalibration methodology utilized by
other Medicare payment systems.
Similarly, the methodology is consistent
with the method we have utilized since
CY 2008 rulemaking to analyze and
account for case-mix growth unrelated
to real changes in patient acuity
(nominal case-mix). Our current method
assesses case-mix growth and reduces
payment rates as warranted only after
the claims data are complete. This
method for both establishing budget
neutrality in the weights and adjusting
for nominal case-mix growth confines
the correction on account of nominal
case-mix growth to the rates while
allowing the average case-mix level to
evolve in the claims history without
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intervention. However, the commenter’s
suggestion to project case-mix growth
for future years is intriguing and we
may consider such a methodology
change in future rulemaking. Such a
methodology change would allow us to
project changes in case-mix based on
expected trends in case-mix growth. It
would also require us to make
projections for payment adjustments to
account for nominal case-mix growth
based on trends. This projection method
may be preferable to delaying the ability
to account for future nominal case-mix
increase. We believe that such a change
in long-standing methodology would
require rulemaking.
Our continued analyses of current
claims data as they become available
allows us to make adjustments to HH
PPS case-mix weights as warranted,
achieving budget neutrality using the
most current complete data available,
and account for growth in nominal casemix as warranted.
Comment: Commenters stated that
CMS explicitly proposes that the casemix weight changes will affect clinical
and patient admission behavior of
HHAs. They stated that if the case-mix
weight changes are implemented, the
proportion of patient episodes with 14
or more therapy visits will decline and
the proportion of non-therapy episodes
will increase.
Response: Based on observation of
sharp changes in distribution of
episodes by the number of therapy
visits, on information coming to us
about provider practices in the field, as
well as on analysis of margins in HH
PPS, an effect on the behavior of HHAs
would not be surprising.
Comment: The commenters stated
that the therapy episodes have higher
case-mix weights on average than nontherapy episodes so the reduction in the
proportion of therapy episodes will
reduce the average case-mix weight
nationally and that failure to account for
this behavioral change reduces the
budget neutrality adjustment. Other
commenters stated that the change in
case-mix weights does not appear to be
budget neutral because only 30 of the
case-mix weight values increased while
123 of the case-mix weight values
decreased from the current levels.
Response: To date, we have not
incorporated forecasts of the sort
indicated by the commenter in our
budget neutrality adjustments. We may
consider this for future rulemaking.
However, we think that forecasting
changes in the national case-mix
average due to the utilization changes
mentioned by the commenter would be
difficult and perhaps not a reliable basis
for payment. Regarding the positive and
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negative changes the case-mix weight
values, we note that when developing
the budget neutrality factor, we took
into account the number of episodes in
each HHRG along with the change in
weights. We developed the factor so that
the change in the weights would result
in the same aggregate expenditures as
2009. One cannot only look at the
increases or decreases in the case-mix
weight values but one must also look at
the degree of the change in the weights
and the number of episodes associated
with each of the weights when looking
at budget neutrality. In general, the casemix weight values that increased had
higher volumes than the ones that
decreased.
Comment: A commenter appreciated
that the proposed changes to the casemix weights are budget neutral.
Response: We thank the commenter
for their support.
Comment: A commenter asked that
CMS identify how the points from the
hypertension 401.1 and 401.9 codes are
reallocated in the proposed case-mix
weight changes.
Response: The points are reallocated
in the course of estimating the fourequation model’s regression equation. In
Table 3 shown above, we show the
points associated with various clinical
and functional variables based on the
results of the four-equation model. The
four-equation model is a linear
regression explaining an episode’s wage
weighted minutes of care in the home as
measured in dollars (the dependent
variable) as a function of the episode’s
timing, therapy visits, clinical variable
indicators (for example, pressure ulcer
stage), and functional indicators (for
example, limitation in bathing). After
estimating the model, we determine the
points associated with clinical and
functional variables by dividing the
coefficients by 10. By re-estimating the
four-equation model on data without
hypertension codes 401.1 and 401.9, we
redistributed the points which would be
associated with the two hypertension
codes to other variables in the model.
Table 4 shows the differences in points
between the current and proposed casemix adjustment scores. As stated in the
proposed rule, for 13 of the 33 clinical
and functional variables which had a
different number of points, there was an
extra point assigned when the two
hypertension codes were excluded and
for 20 of the 33 clinical and functional
variables, there was one less point
assigned compared to the current
model.
Comment: Commenters stated that
CMS presented strong and objective
data indicating that an elimination of
hypertension codes 401.1 and 401.9 was
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warranted. Commenters stated that they
would like to see a comparable
approach for therapy utilization. Other
commenters stated that despite the data
analysis of the resource costs of patients
with hypertension codes 401.1 and
401.9, from a clinical viewpoint, there
are still concerns that the removal of the
hypertension codes might undervalue
the resources need to address the needs
of patients with hypertension.
Response: Our past exploration of
modeling therapy elements of the casemix in home health showed that
predictive power is relatively low.
MedPAC’s recent results in their
preliminary models of therapy elements
are consistent with our experience. We
will continue to study this issue. We
remind the commenters concerned
about removal of hypertension codes
that our analysis showed that after the
153-group system went into effect,
hypertension was no longer associated
with marginal added resources. This
was probably due to a big change in the
frequency of reporting hypertension and
meant that the average patient with
hypertension (after accounting for other
clinical conditions) was not as costly to
care for as the average patient reported
to have hypertension in 2005 (the year
of the data that originally used to create
the 153-group system). The new
guidelines developed by the National
Heart Lung and Blood Institute (NHLBI)
concerning the appropriate reporting of
these hypertension codes were released
in late 2004. It is possible that prior to
the NHLBI guidelines, HHAs were using
codes 401.1 and 401.9 to reflect more
severe hypertensive conditions. Our
2008 refinements analysis utilized 2003
data (prior to the NHLBI guidelines) and
2005 data (shortly after the guidelines
release and likely prior to widespread
adoption of them). As such, one
probable reason that the 2008
refinements analysis identified these
codes as more resource intensive, when
more current data analysis does not,
would be HHA use of these codes to
reflect more severe hypertensive
patients.
Comment: Commenters urged CMS to
check that the removal of weights for
the hypertension codes 401.1 and 401.9
is not premature and based on sound
methodology. Commenters stated that
coding experts believe that eliminating
the two hypertension codes will result
in up to a 7 percent decrease in codingrelated reimbursement.
Response: In our proposal, we
explained that the new point allocation
from the re-estimated four-equation
model redistributed resources across the
other conditions in the model. Our other
procedures for deriving the weights
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were designed to maintain the effects of
the redistribution. Therefore, a change
in reimbursement for patients with the
hypertension codes would in general
not be 7 percent. The change for any
given patient would depend on their
combination of case-mix recognized
conditions.
Comment: Commenters stated that
CMS proposed to eliminate the codes
401.1 and 401.9 based on their concerns
surrounding the new guidelines
developed by the NHLBI.
Response: In addition to our concerns
about changes in coding due to the new
guidelines developed by the NHLBI,
which we believe resulted in more
accurate coding, we have also shown
that the two hypertension codes are not
associated with additional resources,
and therefore, we are implementing the
removal of these codes.
Comment: Commenters stated that
there are certain areas where the
increase in hypertension makes sense
given the high prevalence of heart
disease and obesity. Another commenter
was concerned with the removal of
hypertension from the case-mix system,
stating that there may be external factors
that CMS has not taken into account and
that treatment of hypertension is an
important part of home health.
Response: We thank the commenters
for their comments. However, we note
that we presented various analyses
which showed that the two codes 401.1
and 401.9 are not associated with
additional resource use. Therefore, we
believe that the two codes should be
removed from our case-mix system.
However, we would like to clarify that
we are not completely removing
hypertension from our case-mix system;
we are only removing codes 401.1 and
401.9. Currently, we believe that certain
types of hypertension, such as
hypertensive heart disease and
hypertensive chronic kidney disease,
are associated with additional resource
use and should be included in our
payment system; however, all of our
analysis confirms that the two
hypertension codes for benign essential
and unspecified essential hypertension
on average are not associated with
additional resource use, and therefore,
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we are removing the codes to more
accurately align payment with resource
use.
Comment: Commenters stated that
when changing or removing part of the
model, CMS should perform the same
comprehensive approach as it used for
the 2008 refinements. The commenter
stated that we should use the same
criteria we used for the refinements to
determine whether certain diagnoses
codes and variables should be included
in the model.
Response: As a result of research we
are undertaking pursuant to Section
3131 of the Affordable Care Act, we
plan a comprehensive re-examination of
the variable set that is potentially
available to us to use for case-mix and
other payment adjustments. We decided
to defer a comprehensive re-modeling
effort until new and/or revised variables
have been researched and can be tested.
On OASIS, reported hypertension
prevalence more than doubled between
2005 and 2008, the first year of the
refined 153-group system. By 2008,
hypertension prevalence was more than
60 percent. Given the large amount of
coding change associated with
hypertension, and the resulting
extraordinary prevalence, we saw a
need to revisit its impact on costs. The
results indicated that for the average
hypertension patient, the condition was
not associated with a statistically
significant increase in resources.
Comment: Commenters stated they
would like to see CMS run the full,
original regression models on test data
from 2009 to see whether the indicators
for hypertension codes 401.1 and 401.9
should be kept in the case-mix system.
The commenters stated that after
running the data, they would like to see
the coefficients for the indicators for
codes 401.1 and 401.9 from the full
regression models for all 4 equations
using the 2009 data.
Response: We did not pursue the
commenters’ suggestion, pending the
outcome of ongoing research. We
previously mentioned in this preamble
concerns that data from 2008 and later
reflect a large amount of nominal coding
change. Without intensive work
developing and reviewing current,
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discarded, and potentially new variables
for the model, we would not necessarily
arrive at an appropriate score for the
hypertension variables. Also, we believe
making significant scoring changes
piecemeal (before a thorough review of
potential variable sets) adds
unacceptable burdens to administrative
and HHA operations. We also note that
re-estimating the full original regression
models is not necessary to support our
decision to remove the two
hypertension codes. The reason is that
we did re-run one multivariate
regression models used to test the
impact of the hypertension codes in our
proposed rule. This model isolated the
additional resources associated with
codes 401.1 and 401.9 and is an
additional analysis to that which we
described in the proposed rule. When
developing the proposed rule, we ran
the test regression model controlling for
the current weights because at the time,
we had not yet developed the proposed
weights. The results supported the
removal of the codes. Table 9 shows the
results of an updated test regression
model. One can see the coefficients from
the regression model of total resource
use on the case-mix weight (using the
refined revised case-mix weights that do
not include the 401.1 or 401.9 diagnoses
in calculating case-mix weight) and
indicator variables for the presence of
the 401.1 and 401.9 hypertension
diagnoses. This equation is based on
2009 data with LUPAs and outliers
excluded. The coefficients show that,
controlling for the revised case-mix
weights that we are finalizing in this
rule, the presence of either a 401.1 or a
401.9 diagnosis is associated with
significantly lower resource use. The
mean value of the dependent variable is
543.17, so the magnitude of the
coefficients is not particularly large,
especially for the 401.9 diagnosis, but
the results support dropping the two
diagnoses from the case-mix calculation
since they are not associated with
higher resource use. We believe that this
analysis along with the other analysis
presented in the proposed rule support
the removal of the two hypertension
codes 401.1 and 401.9.
BILLING CODE 4120–01–P
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weights. Based on our analyses after the
publication of the CY 2012 HH PPS
proposed rule, we have refined the
revision to the case-mix weights and the
new adjustments to the case-mix
weights can be seen in Table 10.
We reiterate that we used the same
methodology described in the proposed
rule when developing the new revised
case-mix weights. To ensure that the
revised weights result in approximately
the same aggregate expenditures as we
incurred in 2009, the budget neutrality
factor applied to the weights changed
slightly from 1.2847 to 1.2832. The new
revised case-mix weights can be seen in
Table 11.
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In summary, as described in our
response to comments, we are finalizing
our proposal to revise the case-mix
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BILLING CODE 4120–01–C
As stated earlier in our responses to
comments, we performed a simulation
analysis on the new revised weights.
When re-running the simulation
analysis on these new weights, we saw
relatively even payments in excess of
estimated costs across the various types
of episodes, including but not limited to
the episodes with 14–19 therapy visits,
episodes with 20–25 visits, and nontherapy episodes. We note that in our
analysis, we looked at various groups of
episodes, such as non-therapy episodes,
episodes with 1–5 therapy visits,
episodes with 6–9 therapy visits,
episodes with 10–13 therapy visits,
episodes with 14–19 therapy visits and
episodes with 20–25 therapy visits, as
well as episodes with 26+ therapy visits.
The analysis showed an even, similar
payment in excess of estimated costs
between almost all of the groups of
episodes, except for episodes with 26+
therapy visits. We also note that in our
sample, episodes with 20–25 visits are
64 percent of all of the episodes with
20+ therapy visits.
In addition, when performing a
regression of the episode’s total resource
(dependent variable) using the new
revised case-mix weights (independent
variable), the R-squared value is 0.5436,
which is slightly higher than the Rsquared value for the proposed weights.
As more data becomes available, such as
G-code data and possibly audited CR
data, we may further implement
changes to the weights in future
rulemaking.
C. Outlier Policy
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1. Background
As we highlighted in our proposed
rule (76 FR 41012), section 1895(b)(5) of
the Act allows for the provision of an
addition or adjustment to the national
standardized 60-day case-mix and wageadjusted episode payment amounts in
the case of episodes that incur
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unusually high costs due to patient
home health (HH) care needs. In the
proposed rule, we noted that prior to the
enactment of the Affordable Care Act in
March 2010, this section of the Act
stipulated that estimated total outlier
payments could not exceed 5 percent of
total projected or estimated HH
payments in a given year. We also
provided historical milestones for the
development of the outlier payment
policy, including an overview of the
July 2000 final rule (65 FR 41188
through 41190), in which we described
the method for determining outlier
payments.
As part of our proposed rule (76 FR
41013), we reiterated what was said in
the CY 2010 HH PPS final rule (74 FR
58080 through 58087), in which we
discussed excessive growth in outlier
payments, the reasons for this growth,
and our policy changes and
methodologies to address it, which
culminated in a 10 percent agency level
outlier cap. We noted that this cap was
implemented in concert with a reduced
fixed dollar loss (FDL) ratio of 0.67.
These policies resulted in a projected
target outlier pool of approximately 2.5
percent.
In our proposed rule (76 FR 41013),
we also provided an overview of how
the outlier payment percentage is
determined and the relationship
between the FDL and loss-sharing ratios.
At the time of the proposed rule, a
preliminary look at partial CY 2010
Health Care Information System (HCIS)
data showed total outlier payments to be
1.68 percent of total HH PPS payments.
As such, we proposed to maintain the
current FDL ratio of 0.67 until more
recent and complete data became
available on which to conduct further
analysis.
As we stated in the proposed rule (76
FR 41013), we must deliver a Report to
Congress regarding the results and
recommendations of a home health
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study no later than March 1, 2014.
Section 3131(d)(1)(A)(iii) of the
Affordable Care Act requires the
Secretary to analyze potential revisions
to outlier payments to better reflect
costs of treating Medicare beneficiaries
with high levels of severity of illness.
2. Comments and Responses
The following is a summary of the
comments we received regarding the
outlier policies in the proposed rule.
Comment: Several commenters
expressed general agreement with the
methodology used to review the outlier
policy, including possibly adjusting the
fixed-dollar loss (FDL) ratio from its
current value of 0.67 based on more
current data becoming available. Many
of these commenters urged CMS to
refine its outlier policies to ensure
access to care for Medicare
beneficiaries, and also ensure that the
full 2.5 percent of expected HH
expenditures be spent on outlier
payments. Some of these commenters
noted that data presented by CMS
showed less than 2.5 percent of outlier
dollars were expended. Commenters
also noted that outlier expenditures are
less than prior years, reflecting that the
impact of the outlier cap has been
successful in addressing abuse of this
provision of the payment system.
Response: We thank commenters for
their recognition of the need for the
outlier payment limit and recognize the
concerns expressed by many to ensure
that the 2.5 percent target in outlier
payments allowed is expended. We
agree on the importance of ensuring
access to care for high cost Medicare
beneficiaries. We also agree that the
outlier cap policy plays an important
part in addressing abuse of the payment
system. As stated in our proposed rule,
we will continue to monitor outlier
payments as a percentage of total HH
PPS payments as newer data becomes
available.
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outlier cap would further reduce outlier
abuse and better compensate agencies
that use the outlier provision
judiciously. Many commenters
expressed their belief that outlier
payments should play an important part
in addressing the needs of patients
whose extraordinary costs are beyond
the compensation offered by regular HH
PPS payments. One of the commenters
stated that CMS continues to focus on
the outlier payment boost as if it were
a profit-making tool for HHAs even
though most outlier episodes lose
money. Another commenter requested
in particular that CMS exempt special
needs certified HHAs that serve highcost patients with multiple clinical
issues from the 10 percent outlier cap
threshold. One such commenter added
that CMS should further evaluate the
outlier threshold in relationship to nonroutine supplies (NRS) due to this
commenter’s concern that patients with
complex wounds might be adversely
impacted.
Response: We reiterate that we intend
to analyze alternatives to our current
outlier policy as part of the home health
study mandated by section 3131 of the
Affordable Care Act. The study calls for
CMS to investigate improvements to the
HH PPS to account for patients with
varying severity of illness. We agree
with commenters that the current HH
PPS outlier payments play an important
role in addressing the needs of patients
whose costs are beyond the
compensation offered by regular HH
PPS payments. Regarding possible
exemptions for special needs certified
HHAs that serve high-cost patients with
multiple clinical issues from the 10
percent outlier cap threshold, we note
that section 3131(b) of the Affordable
Care Act does not allow for exceptions
to the mandate of the outlier policy
which reduces estimated aggregate HH
payments by 5 percent, allows no more
than an estimated 2.5 percent of
aggregate HH payments to be outlier
payments, and requires the 10 percent
agency-level outlier cap. We do not have
statutory authority to exempt any
providers from the 10 percent outlier
cap. Lastly, we will also include the
commenter’s suggested NRS analysis as
part of the Affordable Care Actmandated home health access study.
In summary, as described above,
preliminary analysis of partial 2010
claims described in the proposed rule
indicated outlier payments to be
approximately 1.68 percent of total HH
PPS payments. For this final rule, we
have updated our analysis with a full
year of CY 2010 data. The data show the
outlier payment percentage has
increased to 1.91 percent of total HH
PPS payments.
To ensure that we adhere to our
statutory mandate to expend no more
than 2.5 percent of expected total HH
PPS payments in outlier payments, we
are maintaining our current policies of
a FDL ratio of 0.67 and a loss-sharing
ratio of 0.80 for CY 2012. Table 18 from
our proposed rule has been updated and
shows the outlier payment history as a
percentage of total HH PPS payments
between Calendar Years 2004 and 2010.
D. CY 2012 Rate Update
Affordable Care Act amended section
1895(b)(3)(B) of the Act by adding a new
clause (vi) which states, ‘‘After
determining the home health market
basket percentage increase * * * the
Secretary shall reduce such percentage
* * * for each of 2011, and 2012, by 1
percentage point. The application of this
clause may result in the home health
market basket percentage increase under
clause (iii) being less than 0.0 for a year,
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1. Home Health Market Basket Update
Section 1895(b)(3)(B) of the Act
requires that the standard prospective
payment amounts for CY 2012 be
increased by a factor equal to the
applicable home health market basket
update for those HHAs that submit
quality data as required by the
Secretary. Section 3401(e) of the
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At the writing of this final rule, the
most current 2010 claims data shows
the outlier payment outlay has
increased from 1.68 to 1.91 percent of
total 2010 HH expenditures. We
recognize that this percentage still falls
below the 2.5 percent outlier target. We
believe it is necessary to finalize the
outlier policy 0.67 FDL ratio and 0.80
loss-sharing ratio as proposed to ensure
we do not violate the statutory mandate
to not exceed 2.5 percent of expected
HH expenditures in outlier payments.
We also note that an expected correction
to a claims processing error related to
the outlier cap may change the final
outlier expenditures in CY 2010.
We assure commenters that we intend
to thoroughly analyze ways to improve
the HH PPS’s ability to identify patient
severity and cost, address possible home
health access issues for high cost
patients, and investigate options for
improving the HH PPS outlier policies
as part of the home health study.
Comment: A number of commenters
specifically suggested that the cost
sharing ratio of 0.80 be increased rather
than lowering the FDL and that CMS
should move away from using the low
utilization payment adjustment (LUPA)
as the proxy for actual cost in
computing the outlier payment,
believing that actual agency-specific
costs subject to a cap or a per visit
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and may result in payment rates under
the system under this subsection for a
year being less than such payment rates
for the preceding year.’’
In the proposed rule, we proposed a
home health (HH) market basket update
of 2.5 percent for CY 2012. This update
was based on IHS Global Insight Inc.’s
first quarter 2011 forecast, utilizing
historical data through the fourth
quarter of 2010. Since publication of the
proposed rule, we have a revised HH
market basket update of 2.4 percent
based on IHS Global Insight Inc.’s third
quarter 2011 forecast, utilizing historical
data through the second quarter of 2011.
A detailed description of how we derive
the HH market basket is available in the
CY 2008 HH PPS proposed rule (72 FR
25356, 25435). Due to the requirement
in section 1895(b)(3)(B)(vi) of the Act,
the CY 2012 HH PPS payment update
percentage is to be calculated by
reducing the CY 2012 HH market basket
update of 2.4 percent by 1 percentage
point. In effect, the final CY 2012 HH
PPS payment update percentage is
calculated to be 1.4 percent.
The following is a summary of the
comments we received regarding the HH
market basket update.
Comment: One commenter objected to
CMS decreasing the market basket
increase.
Response: Section 3401(e) of the
Affordable Care Act mandates the 1
percentage point decrease to the home
health market basket update.
Comment: One commenter criticized
the market basket index, claiming that it
fails to include consideration of the
direct cost increases that CMS rules may
have on the delivery of care. Instead, it
evaluates general cost changes such as
the cost of caregivers, transportation,
insurance, and office space.
The commenter further stated that
this approach does not provide CMS
with the information needed to adjust
payment rates in relation to regulatory
cost increases. When the home health
services ‘‘product’’ changes because of
new regulatory or administrative
requirements, CMS must include an
element in the market basket index to
address the resulting cost changes. Or
alternatively, they request CMS adjust
base payment rates to account for such
cost, as it has done in the past for costs
such as OASIS.
Finally, the commenter claims the
weaknesses in the current market basket
index calculation method is highlighted
this year in the significant difference
between the index rate applied to
hospitals and the index rate proposed
for HHAs. A difference of 0.5 is, on its
face, unsupportable, as HHAs have
experienced significantly increased
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administrative costs for the face-to-face
encounter rule and the requirements to
greatly increase professional therapist
assessments of patients along with
increases in gas costs for a provider
group that travels nearly 5 billion miles
a year.
Response: The home health market
basket is a fixed-weight Laspeyres-type
price index. The index is not, nor is it
intended to be, a cost index. Its weights
reflect the cost distribution for a
selected base year while current-period
price changes are measured. As such,
the index measures ‘‘pure’’ price
changes only. The effects on total
expenditures resulting from periodic
changes in the quantity or mix of goods
and services purchased by home health
providers are, by design, captured in the
base year weights (or cost shares), which
are updated on a recurring basis.
The 0.5 percentage point difference
referenced by the commenter (3.0
percent final FY 2012 IPPS market
basket update minus the 2.5 percent
proposed CY 2012 HH market basket
update [not the 2.4 percent final CY
2012 HH market basket update])
between the HHA market basket
increase and IPPS market basket
increase is the result of the differences
in the inputs that HHAs and IPPS
hospitals purchase to provide medical
care services and the expected price
changes associated with those inputs.
For instance, IPPS hospitals tend to
employ a staff with a higher skill mix
(with the price growth associated with
that skill mix tending to grow slightly
more rapidly). Likewise, a significant
share of hospital costs is dedicated to
prescription drug expenses (a category
that is projected to experience relatively
higher price growth in the coming year).
2. Home Health Care Quality Reporting
Program
a. Background and Quality Reporting
Requirements
Section 1895(b)(3)(B)(v)(II) of the Act
states that ‘‘each home health agency
shall submit to the Secretary such data
that the Secretary determines are
appropriate for the measurement of
health care quality. Such data shall be
submitted in a form and manner, and at
a time, specified by the Secretary for
purposes of this clause.’’ In addition,
section 1895(b)(3)(B)(v)(I) of the Act
dictates that ‘‘for 2007 and each
subsequent year, in the case of a HHA
that does not submit data to the
Secretary in accordance with subclause
(II) with respect to such a year, the HH
market basket percentage increase
applicable under such clause for such
year shall be reduced by 2 percentage
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points.’’ This requirement has been
codified in regulations at § 484.225(i).
HHAs that meet the quality data
reporting requirements would be
eligible for the full home health market
basket percentage increase. HHAs that
do not meet the reporting requirements
would be subject to a 2 percent
reduction to the home health market
basket increase.
b. OASIS Data
Accordingly, for CY 2012, we
proposed to continue to use a HHA’s
submission of OASIS data as one form
of quality data to meet the requirement
that the HHA submit data appropriate
for the measurement of health care
quality. We proposed for CY 2012 to
consider OASIS assessments submitted
by HHAs to CMS in compliance with
HHA Conditions of Participation and
Conditions for Payment for episodes
beginning on or after July 1, 2010 and
before July 1, 2011 as fulfilling one
portion of the quality reporting
requirement for CY 2012. This time
period would allow 12 full months of
data collection and would provide us
the time necessary to analyze and make
any necessary payment adjustments to
the payment rates for CY 2012. We
proposed to reconcile the OASIS
submissions with claims data to verify
full compliance with the OASIS portion
of the quality reporting requirements in
CY 2012 and each year thereafter on an
annual cycle July 1 through June 30 as
described above.
As set forth in the CY 2008 final rule,
agencies do not need to submit OASIS
data for those patients who are excluded
from the OASIS submission
requirements under the Home Health
Conditions of Participation (CoPs)
§ 484.1–§ 484.265, as well as those
excluded, as described at 70 FR 76202:
• Those patients receiving only
nonskilled services;
• Those patients for whom neither
Medicare nor Medicaid is paying for
home health care (patients receiving
care under a Medicare or Medicaid
Managed Care Plan are not excluded
from the OASIS reporting requirement);
• Those patients receiving pre- or
post-partum services; or
• Those patients under the age of
18 years.
As set forth in the CY 2008 HH PPS
final rule (72 FR 49863), agencies that
become Medicare-certified on or after
May 1 of the preceding year (2011 for
payments in 2012) are excluded from
any payment penalty for quality
reporting purposes for the following CY.
Therefore, HHAs that are certified on or
after May 1, 2011 are excluded from the
quality reporting requirement for CY
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2012 payments. These exclusions only
affect quality reporting requirements
and do not affect the HHA’s reporting
responsibilities under the Conditions of
Participation and Conditions of
Payment.
jlentini on DSK4TPTVN1PROD with RULES2
(1) OASIS Data and Annual Payment
Update
HHAs that submit OASIS data as
specified above are considered to have
met one portion of the quality data
reporting requirements. Additional
portions of the quality data reporting
requirements are discussed below under
sections D.2.c and D.2.d.
(2) OASIS Data and Public Reporting
Section 1895(b)(3)(B)(v)(III) of the Act
further states that ‘‘[t]he Secretary shall
establish procedures for making data
submitted under sub clause (II) available
to the public. Such procedures shall
ensure that a home health agency has
the opportunity to review the data that
is to be made public with respect to the
agency prior to such data being made
public.’’
To meet the requirement for making
such data public, we proposed to
continue using a subset of OASIS data
that is utilized for quality measure
development and reported on the Home
Health Compare Web site. Currently, the
Home Health Compare Web site lists 23
quality measures from the OASIS data
set as described below. The Home
Health Compare Web site, which was
redesigned in October 2010, is located at
https://www.medicare.gov/HHCompare/
Home.asp. Each HHA currently has prepublication access, through the CMS
contractor, to its own quality data that
the contractor updates periodically. We
proposed to continue this process, to
enable each agency to view its quality
measures before public posting of data
on Home Health Compare.
The following 13 OASIS–C process
measures have been publicly reported
on Home Health Compare since October
2010:
• Timely initiation of care.
• Influenza immunization received
for current flu season.
• Pneumococcal polysaccharide
vaccine ever received.
• Heart failure symptoms addressed
during short-term episodes.
• Diabetic foot care and patient
education implemented during shortterm episodes of care.
• Pain assessment conducted.
• Pain interventions implemented
during short-term episodes.
• Depression assessment conducted.
• Drug education on all medications
provided to patient/caregiver during
short-term episodes.
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• Falls risk assessment for patients 65
and older.
• Pressure ulcer prevention plans
implemented.
• Pressure ulcer risk assessment
conducted.
• Pressure ulcer prevention included
in the plan of care.
We published information about these
new process measures in the Federal
Register in the CY 2010 HH PPS
proposed and final rules (74 FR 40960
and 74 FR 58096, respectively), and in
the CY 2011 HH PPS proposed and final
rules (75 FR 43250 and 75 FR 70401,
respectively). We proposed and
finalized the decision to update Home
Health Compare in October 2010 to
reflect the addition of the process
measures.
We proposed to continue publicly
reporting these 13 process measures and
consider them as measures of home
health quality.HERE
The following 10 OASIS–C outcome
measures are currently listed on Home
Health Compare:
• Improvement in ambulation/
locomotion.
• Improvement in bathing.
• Improvement in bed transferring.
• Improvement in management of
oral medications.
• Improvement in pain interfering
with activity.
• Acute care hospitalization.
• Emergency Department Use
Without Hospitalization.
• Improvement in dyspnea.
• Improvement in status of surgical
wounds.
• Increase in number of pressure
ulcers.
As proposed and finalized in the CY
2011 HH PPS final rule (75 FR 70401),
these OASIS–C outcome measure
calculations were publicly reported for
the first time in July 2011.
(3) Transition From OASIS–B1 to
OASIS–C
The implementation of OASIS–C on
January 1, 2010 impacted the schedule
of quality measure reporting for CY
2010 and CY 2011. Although sufficient
OASIS–C data were collected during CY
2010 and early CY 2011 and risk models
were in development, the outcome
reports (found on Home Health
Compare and the contractor outcome
reports used for HHA’s performance
improvement activities) remained static
with OASIS–B1 data. The last available
OASIS–B1 reports remained in the
system and on the Home Health
Compare site until they could be
replaced with OASIS–C reports.
Sufficient numbers of patient episodes
were needed to report measures based
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68575
on new OASIS–C data. This is
important because measures based on
patient sample sizes taken over short
periods of time can be inaccurate and
misleading due to issues like seasonal
variation and under-representation of
long-stay home health patients. Once
sufficient OASIS–C data were collected
and submitted to CMS’s national
repository, we could begin producing
new reports based on OASIS–C.
December 2009 was the last month for
which outcome data were calculated for
OASIS–B1 data and OASIS–B1 CASPER
outcome reports continued to be
available after March 2010. OASIS–C
process measures were made available
to preview in September 2010 and were
publicly reported in October 2010.
OASIS–C outcome measures were made
available to preview in June 2011 and
were publicly reported in July 2011.
c. Claims Data, Requirements, and
Outcome Measure Change
We proposed to continue to use the
aforementioned specified measures
derived from the OASIS–C data for
purposes of measuring home health care
quality. We proposed to also use
measures derived from Medicare claims
data to measure home health quality.
This would also ensure that providers
would not have an additional burden of
reporting quality of care measures
through a separate mechanism, and that
the costs associated with the
development and testing of a new
reporting mechanism would be avoided.
The change to OASIS–C brought
about modifications to the OASIS–B1
measure ‘‘Emergent Care,’’ and resulted
in the following change to that measure:
• Emergency Department Use without
Hospitalization: This measure replaces
the previously reported measure:
Emergent care. It excludes emergency
department visits that result in a
hospital admission because those visits
are already captured in the acute care
hospitalization measure.
Upon review of actual claims data for
emergency department visits and
responses to OASIS–C data item M2300,
we determined that the claims data are
a more robust source of data for this
measure, therefore the OASIS-based
measure ‘‘Emergency Department (ED)
Use Without Hospitalization’’ was not
publicly reported effective July 2011.
The ED Use Without Hospitalization
measure will be recalculated from
claims data and we proposed that public
reporting of the claims-based measure
would begin January 2012. We invited
comment on the proposed use of claims
data in the calculation of home health
quality measures and as an additional
measurement of home health quality.
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To summarize, we proposed that the
following 13 process and 9 outcome
measures, which comprise measurement
of home health care quality, would
continue to be publicly reported in July
2011 and quarterly thereafter:
• Timely initiation of care.
• Influenza immunization received
for current flu season.
• Pneumococcal polysaccharide
vaccine ever received.
• Heart failure symptoms addressed
during short-term episodes.
• Diabetic foot care and patient
education implemented during shortterm episodes of care.
• Pain assessment conducted,
• Pain interventions implemented
during short-term episodes.
• Depression assessment conducted.
• Drug education on all medications
provided to patient/caregiver during
short-term episodes.
• Falls risk assessment for patients 65
and older.
• Pressure ulcer prevention plans
implemented.
• Pressure ulcer risk assessment
conducted.
• Pressure ulcer prevention included
in the plan of care.
• Improvement in ambulation/
locomotion.
• Improvement in bathing.
• Improvement in bed transferring.
• Improvement in management of
oral medications.
• Improvement in pain interfering
with activity.
• Acute care hospitalization.
• Improvement in dyspnea.
• Improvement in status of surgical
wounds.
• Increase in number of pressure
ulcers.
We proposed that the claims-based
measure ‘‘Emergency Department Use
without Hospitalization’’ would be
publicly reported in January 2012.
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Increase in Number of Pressure Ulcers
Measure
We did not receive any comment
related to the Increase in Number of
Pressure Ulcers measure. However, as a
part of our measure maintenance
process which was ongoing at the time
of the proposed rule, we determined
that the rates for this measure do not
distinguish between poor performance
and good performance and the risk
adjustment model for this measure is
insufficient. For these reasons, we will
not finalize this measure for public
reporting.
The following is summary of the
comments we received regarding the
Home Health Care Quality
Improvement: OASIS proposal.
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Comment: We received a total of 11
comments pertaining to the home health
quality reporting program, OASIS
section. Ten of those comments were
supportive of the proposal for continued
use of the OASIS based process and
outcome measures, as well as the use of
claims based data when claims data are
applicable and not burdensome to
collect. The Emergency Department Use
without Hospitalization and the Acute
Care Hospitalization measures were
specifically noted by commenters as
measures for which claims would be
more precise and readily available data
sources. One commenter requested
further clarification of what data CMS
will use to calculate this quality
measure (for example, how would
observation stays be calculated after a
planned procedure and how would the
agency monitor the timing of when the
last OASIS assessment was completed
as compared to when the ER visit
occurred?). Addition of a claims-based
measure related to observation stays was
also suggested.
Response: We appreciate the positive
feedback supporting the proposed use of
OASIS process and outcome measures
and particularly those comments
supporting the addition of claims as a
data source. In response to the request
for further clarification, CMS is still
working with the measure developer to
determine the precise specifications for
the claims-based measure of Emergency
Department Use Without
Hospitalization. The specific disposition
of observation stays is undetermined.
Details of the measure specifications
will be provided when finalized.
Comment: We received one comment
expressing confusion regarding the use
of claims data, expressing concern that
slow claims filing might potentially
impact the accuracy of the ED Use
Without Hospitalization measure,
noting that using the same data base for
all measures makes more sense and
stating that the fact that CMS has
concerns about the reliability of OASIS
data for one measure suggests concern
about the reliability of OASIS data
overall. This commenter recommends
that CMS abandon the proposal to
substitute hospital claims data as the
source for the ED Use Without
Hospitalization measure.
Response: In this response, we intend
to clarify the reason for use of claims
data for the ED Use Without
Hospitalization measure. OASIS item
M2300 asks: ‘‘Since the last time OASIS
data were collected, has the patient
utilized a hospital emergency
department?’’ OASIS data is not
collected on every home health visit,
and M2300 is reported only at the time
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of transfer or discharge. CMS
contractors compared responses on
OASIS item M2300 to submitted
outpatient claims for ER visits for
continuously enrolled Medicare fee-forservice beneficiaries who had a home
health stay of less than 60 days during
2010. This analysis showed that only 25
percent of outpatient ER visits were
correctly reported on item M2300,
implying that a measure of emergency
department use without hospitalization
calculated from M2300 is unreliable.
Although there is a delay in receiving
outpatient claims, 90 percent of
outpatient claims are received within
2 months of service date and thus
utilization measures calculated from
claims can be reported for the same
periods as measures calculated from
OASIS data. Additionally, as CMS relies
on submitted outpatient claims for
payment purposes, these data are
already extensively verified.
Using a single database as the source
of all measures is not the best approach.
It is not feasible to do so because the
data collected on ED Use Without
Hospitalization via OASIS is not reliable
and enhancing the reliability of this data
may impose undue burden on
providers. The benefits of reliable data
outweigh the slight complication of
drawing quality data from two sources.
The problem with item M2300 does
not necessarily imply there may be
problems with other OASIS items. Other
OASIS items involve a home health
practitioner reporting direct observation
of the patient. M2300, however, asks for
information that the home health
practitioner does not directly observe.
The decision to visit the emergency
room is typically made by the patient or
by the patient’s family or other primary
care-giver. The HHA’s knowledge that
an emergency department visit occurred
is dependent on the patient or caregiver
informing the HHA about the event.
Reliance on Medicare outpatient
claims is considerably less burdensome
to HHAs than requiring additional
investigation of potential emergency
department visits. The claims-based
measure is still under development and
will be thoroughly tested and validated
prior to public reporting. As a result of
the comments and ongoing evaluation of
the proposed measures, we finalize all
as we proposed with these exceptions:
• Public reporting of the claims-based
ED Use Without Hospitalization
measure will begin as early as January
2012, contingent on the measure’s
readiness for public reporting; and
• The Increase in Number of Pressure
Ulcers measure will no longer be
publicly reported effective as early as
October 2011.
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d. Home Health Care CAHPS Survey
(HHCAHPS)
In the CY 2011HH PPS final rule Rate
Update for (75 FR 70404 et seq.), we
stated that the expansion of the HH
quality measures reporting requirements
for Medicare-certified agencies will
include the Consumer Assessment of
Healthcare Providers and Systems
(CAHPS®) Home Health Care
(HHCAHPS) Survey for the CY 2012
annual payment update (APU). We are
maintaining our existing policy as
issued in the CY 2011 HH PPS Rate
Update, and moved forward to have
HHCAHPS linkage to the pay-forreporting (P4R) requirements affecting
the HH PPS rate update for CY 2012.
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(1) Background and Description of
HHCAHPS
As part of the U.S. Department of
Health and Human Services’ (DHHS)
Transparency Initiative, we have
implemented a process to measure and
publicly report patient experiences with
home health care using a survey
developed by the Agency for Healthcare
Research and Quality’s (AHRQ’s)
CAHPS® program, and endorsed by the
National Quality Forum (NQF). The
HHCAHPS survey is part of a family of
CAHPS® surveys that asks patients to
report on and rate their experiences
with health care. The Home Health Care
CAHPS (HHCAHPS) survey presents
home health patients with a set of
standardized questions about their
home health care providers and about
the quality of their home health care.
Prior to this survey, there was no
national standard for collecting
information about patient experiences
that would enable valid comparisons
across all HHAs. The history of the
HHCAHPS has been given in previous
rules, but it also available on our Web
site at https://homehealthcahps.org and
also, in the HHCAHPS Protocols and
Guidelines Manual, which is
downloadable from our Web site.
For public reporting purposes, we
will report five measures—three
composite measures and two global
ratings of care from the questions on the
HHCAHPS survey. The publicly
reported data will be adjusted for
differences in patient mix across HHAs.
We anticipate that HHCAHPS will first
be publicly reported in April 2012 on
Home Health Compare on https://
www.medicare.gov. For the HHCAHPS
reported measures, each composite
measure consists of four or more
questions regarding one of the following
related topics:
• Patient care (Q9, Q16, Q19, and
Q24);
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• Communications between providers
and patients (Q2, Q15, Q17, Q18, Q22,
and Q23);
• Specific care issues on medications,
home safety, and pain (Q3, Q4, Q5, Q10,
Q12, Q13, and Q14);
The two global ratings are the overall
rating of care given by the HHA’s care
providers, and the patient’s willingness
to recommend the HHA to family and
friends.
The HHCAHPS survey is currently
available in six languages. At the time
of the CY 2010 HH PPS final rule,
HHCAHPS was only available in
English and Spanish. In the proposed
rule for CY 2010, we stated that we
would provide additional translations of
the survey over time in response to
suggestions for any additional language
translations. We now offer HHCAHPS in
English, Spanish, Mandarin (Simplified)
Chinese, Cantonese (Classical) Chinese,
Russian, and Vietnamese languages. We
will continue to consider additional
translations of the HHCAHPS in
response to the needs of the home
health patient population.
All of the requirements about
eligibility for HHCAHPS and
conversely, which home health patients
are ineligible for HHCAHPS are
delineated and detailed in the
HHCAHPS Protocols and Guidelines
Manual which is downloadable from
the official Home Health Care CAHPS
Web site https://homehealthcahps.org.
To be eligible, home health patients
must have received at least two skilled
home health visits in the past 2 months,
paid for by Medicare or Medicaid.
HHCAHPS surveys will not be taken
from patients who are:
• Under the age of 18;
• Deceased;
• Receiving hospice care;
• Receiving routine maternity care
only;
• Living in a State that restricts the
release of patient information for a
specific condition or illness that the
patient has; or are
• Requesting that their names not be
released to anyone.
We stated in previous rules that
Medicare-certified agencies are required
to contract with an approved HHCAHPS
survey vendor. Beginning in summer
2009, interested vendors applied to
become approved HHCAHPS survey
vendors. HHCAHPS survey vendors are
required to attend introductory and all
update trainings conducted by CMS and
the HHCAHPS Survey Coordination
Team, as well as to pass a post-training
certification test. We now have
approximately 40 approved HHCAHPS
survey vendors. The list of approved
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68577
vendors is available at https://
homehealthcahps.org.
(2) HHCAHPS Requirements for CY
2012
In the CY 2010 HH PPS final rule
(74 FR 58078 et seq.), we stated that
HHCAHPS would not be required for
the APU for CY 2011. We did this so
that HHAs would have more time to
prepare for the implementation of
HHCAHPS. Therefore, in the CY 2010
HH PPS final rule, we stated that data
collection should take place beginning
in the third quarter of CY 2010 to meet
the HHCAHPS reporting requirements
for the CY 2012 APU. In the CY 2010
HH PPS final rule, and in the CY 2011
HH PPS final rule, we stated that
Medicare-certified agencies would be
required to participate in a dry run for
at least 1 month in third quarter of 2010
(July, August, and/or September), and to
begin continuous monthly data
collection in October 2010 through
March 2011, for the CY 2012 APU. The
dry run data were due to the Home
Health CAHPS® Data Center by 11:59
p.m., Eastern standard time (e.s.t.) on
January 21, 2011. The dry run data will
not be publicly reported on the CMS
Home Health Compare Web site. The
purpose of the dry run was to provide
an opportunity for vendors and HHAs to
acquire first-hand experience with data
collection, including sampling and data
submission to the Home Health Care
CAHPS Data Center.
In the CY 2011 HH PPS final rule, it
was stated that the mandatory period of
data collection for the CY 2012 APU
would include the dry run data in the
third quarter 2010 that were due 11:59
p.m., e.s.t., on January 21, 2011, data
from each month in the fourth quarter
of 2010 (October, November and
December 2010), and data from each
month in the first quarter 2011 (January,
February and March 2011). We
previously stated that all Medicarecertified HHAs should continuously
collect HHCAHPS survey data for every
month in every quarter beginning
October 2010, and submit these data for
the fourth quarter of 2010 to the Home
Health CAHPS Data Center by 11:59
p.m., Eastern Daylight Time (e.d.t.), on
April 21, 2011. In the CY 2011 HH PPS
final rule, we stated that the data
collected for the 3 months of the first
quarter 2011 would have to be
submitted to the Home Health CAHPS
Data Center by 11:59 p.m., e.d.t., on July
21, 2011. We also stated that these data
submission deadlines would be firm
(that is, no late submissions would be
accepted). HHAs must monitor their
HHCAHPS survey vendors to ensure
that their HHCAHPS data are submitted
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on time to the Home Health Care
CAHPS Data Center. HHAs can access
and review their data submission
reports on https://homehealthcahps.org,
and follow the directions on how to
access these reports in their HHA
account.
These periods (a dry run in third
quarter 2010, and 6 months of data from
October 2010 through March 2011) were
deliberately chosen to comprise the
HHCAHPS reporting requirements for
the CY 2012 APU because they
coincided with the OASIS-C reporting
requirements that would already have
been due on June 30, 2011 for the CY
2012 APU. We also exempted Medicarecertified agencies from the HHCAHPS
reporting requirements if they had fewer
than 60 HHCAHPS-eligible unique
patients from April 1, 2009 through
March 31, 2010. In the CY 2011 HH PPS
final rule, we stated that by January 21,
2011 HHAs would need to provide CMS
with patient counts for the period of
April 1, 2009 through March 31, 2010.
We posted a form on https://
homehealthcahps.org that the HHAs
needed to use to submit their patient
counts. This patient counts reporting
requirement pertains only to Medicarecertified HHAs with fewer than 60
HHCAHPS eligible, unduplicated or
unique patients for that time period.
The aforementioned agencies are
exempt from conducting the HHCAHPS
survey for the APU in CY 2012.
We stated in the CY 2010 HH PPS
final rule (74 FR 58078) and in the CY
2011 HH PPS final rule that we would
exempt newly Medicare-certified HHAs.
If an HHA became Medicare-certified
April 1, 2010 and after, then they would
be exempt from participating in
HHCAHPS.
For CY 2012, we maintain our policy
that all HHAs, unless covered by
specific exclusions, must meet the
quality reporting requirements or be
subject to a two (2) percentage point
reduction in the HH market basket
percentage increase, in accordance with
section 1895(b)(3)(B)(v)(I) of the Act.
(3) HHCAHPS Reconsiderations and
Appeals Process
We stated in the CY 2011 HH PPS
final rule that we would propose a
reconsiderations and appeals process for
HHAs not meeting the HHCAHPS
reporting requirements for CY 2012. We
are finalizing our proposed
reconsiderations and appeals process for
HHAs that fail to meet the HHCAHPS
data collection requirements. HHAs that
are not compliant with OASIS-C and/or
HHCAHPS reporting requirements for
the CY 2012 APU were notified that
they were noncompliant with CY 2012
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quality reporting requirements. We
issued a Joint Signature Memorandum
to RHHIs/MACs with a list of HHAs not
compliant with OASIS and/or
HHCAHPS (TDL–aa453, 08–26–2011 in
a CMS Memorandum dated September
2, 2011). The September Memorandum
included language regarding the
evidence required for the
reconsideration process, how to prepare
a request for reconsideration of the CMS
decision, and that HHAs will have
30 days to file their requests for
reconsiderations to CMS. We will
examine each request and make a
determination about whether we plan to
uphold our original decision. HHAs will
receive CMS’ reconsideration decision
by December 31, 2011. HHAs have a
right to appeal under 42 CFR part 405,
subpart R, to the Provider
Reimbursement Review Board (PRRB) if
they were not satisfied with the CMS
reconsideration determination.
The CMS Memorandum dated
September 2, 2011 included the TDL–
11353, and was published in the CMS
Manual System, Medicare Claims
Processing. The CMS Memorandum was
sent to Fiscal Intermediaries (FIs),
Regional Home Health Intermediaries
(RHHIs) and/or Carriers. The RHHIs/
MACs verified the claims submissions
for the identified timeframe for the 2012
APU period, to confirm that the claims
match the HHAs we identified as
noncompliant with OASIS and
HHCAHPS. The RHHIs/MACs identified
and notified the HHAs that they could
lose 2 percent of their 2012 APU, and
provided them with instructions on how
to request reconsideration of their
noncompliant status in respect to
reporting OASIS and/or HHCAHPS for
the CY 2012 APU. If HHAs choose to
seek reconsideration of the CMS
decision (that they did not fulfill the
HHCAHPS reporting requirements),
then HHAs are strongly advised to
access and review their data
submissions reports on https://
homehealthcahps.org for information
regarding their vendors data submission
activities for the months comprising the
APU period. The RHHIs/MACS will
forward the HHAs requests for
reconsideration of their noncompliance
status for HHCAHPS and/or OASIS
reporting requirements to CMS on a
flow basis so that CMS can review and
prepare recommendations for cross
component review. The HHAs would be
informed about CMS’ final decisions by
December 31, 2011.
(4) HHCAHPS Oversight Activities
We stated in the CY 2011 HH PPS
final rule that vendors and HHAs are
required to participate in HHCAHPS
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oversight activities to ensure
compliance with HHCAHPS protocols,
guidelines, and survey requirements.
The purpose of the oversight activities
is to ensure that HHAs and approved
survey vendors follow the HHCAHPS
Protocols and Guidelines Manual. As
stated, all approved survey vendors
must develop a Quality Assurance Plan
(QAP) for survey administration in
accordance with the HHCAHPS
Protocols and Guidelines Manual. The
first QAP must be submitted within 6
weeks of the data submission deadline
after the vendor’s first quarterly data
submission. The HHCAHPS
Coordination Team reviews the QAPs
and recommends specific revisions.
HHCAHPS survey vendors must revise
their QAP until it is fully satisfactory to
the HHCAHPS Coordination Team.
Once the vendor has a fully acceptable
QAP, the vendor will submit subsequent
updated QAPs to the HHCAHPS
Coordination Team on an annual basis
thereafter, or update the QAP at any
time that changes occur in staff, vendor
capabilities, or systems. A model QAP
is included in the HHCAHPS Protocols
and Guidelines Manual. The QAP
should include the following:
• Organizational Background and
Staff Experience.
• Work Plan.
• Sampling Plan.
• Survey Implementation Plan.
• Data Security, Confidentiality and
Privacy Plan.
• Questionnaire Attachments.
As part of the oversight activities, the
HHCAHPS Survey Coordination Team
conducts on-site visits to the HHCAHPS
vendors. The purpose of the site visits
is to allow the HHCAHPS Coordination
Team to observe the entire Home Health
Care CAHPS Survey implementation
process, from the sampling stage
through file preparation and
submission, as well as to assess how the
HHCAHPS data are stored. The
HHCAHPS Survey Coordination Team
reviews the survey vendor’s survey
systems, and assesses administration
protocols based on the HHCAHPS
Protocols and Guidelines Manual posted
at https://homehealthcahps.org. The
HHCAHPS Survey Coordination Team
includes the CMS staff assigned to work
on HHCAHPS, and the Federal
contractor for the HHCAHPS
implementation. HHCAHPS survey
vendors are not part of the HHCAHPS
Survey Coordination Team. The systems
and program review include, but are not
limited, to the following:
• Survey management and data
systems;
• Printing and mailing materials
facilities;
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• Telephone call center facilities;
• Data receipt, entry and storage
facilities; and
• Written documentation of survey
processes.
After the site visits, HHCAHPS survey
vendors are given a defined time period
in which to correct any identified issues
and provide follow-up documentation
of corrections for review. In general, the
defined time periods will be between 2
weeks to 1 month after these issues are
stated in the HHCAHPS Coordination
Team’s site visit report to the HHCAHPS
survey vendor. HHCAHPS survey
vendors will be subject to follow-up site
visits as needed.
(5) HHCAHPS Requirements for CY
2013
For the CY 2013 APU, HHCAHPS data
collection and reporting are required for
four continuous quarters. The data
collection period includes second
quarter 2011 through first quarter 2012.
HHCAHPS survey vendors acting on
behalf of their contracted HHAs are
required to submit HHCAHPS data files
quarterly to the Home Health CAHPS
Data Center on October 21, 2011,
January 23, 2012, April 19, 2012, and
July 19, 2012.
For the CY 2013 APU, HHAs will be
required to submit their HHCAHPS data
files to the Home Health CAHPS Data
Center for CY 2013 as follows: The data
for the second quarter 2011 by 11:59
p.m., e.d.t., on October 21, 2011; the
data for the third quarter 2011 by 11:59
p.m., e.s.t., on January 23, 2012; the data
for the fourth quarter 2011 by 11:59
p.m., e.d.t., on April 19, 2012; and the
data for the first quarter 2012 by 11:59
p.m., e.d.t., on July 19, 2012. Beginning
with April 2012 quarterly data
submissions and moving forward,
HHCAHPS quarterly data submissions
will always be the third Thursday of the
month (in the months of April, July,
October, and January). HHAs must
monitor their HHCAHPS survey vendors
to ensure that their HHCAHPS data is
submitted on time to the Home Health
Care CAHPS Data Center. HHAs can
access and review their data submission
reports on https://homehealthcahps.org,
and follow the directions on how to
access these reports on their HHA
account.
HHAs that have fewer than 60
HHCAHPS-eligible unduplicated or
unique patients in the period of April 1,
2010 through March 31, 2011 are
exempt from the HHCAHPS data
collection and submission requirements
for the CY 2013 APU. For the CY 2013
APU, agencies with fewer than 60
HHCAHPS-eligible, unduplicated or
unique patients are required to submit
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their counts on the Participation
Exemption Request form posted at
https://homehealthcahps.org by 11:59
p.m., e.d.t., on April 19, 2012. This
deadline is firm, as are all of the
HHCAHPS quarterly data submission
deadlines.
HHAs receiving Medicare certification
on or after April 1, 2011 are exempt
from the HHCAHPS data collection and
submission requirements for the CY
2013 APU, because these HHAs were
not Medicare-certified in the period of
April 1, 2010 and March 31, 2011.
(6) HHCAHPS Codified Criteria
The following criteria from the CY
2011 HH PPS final rule are now revised
so that the requirements for OASIS and
Home Health CAHPS are clearly
distinguishable in the Federal
regulations. We are revising this section
to clarify that HHCAHPS is associated
with the APU described at § 484.225(i)
and the quality reporting requirements,
and not with other payment
requirements.
In the CY 2011 HH PPS final rule (75
FR 70465), we stated for § 484.250,
Patient Assessment Data, that ‘‘An HHA
must submit to CMS the OASIS–C data
described at § 484.55(b)(1) and Home
Health Care CAHPS data for CMS to
administer the payment rate
methodologies described in § 484.215,
§ 484.230, and § 484.235 of this subpart,
and meet the quality reporting
requirements of section 1895(b)(3)(B)(v)
of the Act.’’
We are revising this section to clarify
that HHCAHPS is only associated with
the APU described at § 484.225(i) and
the quality reporting requirements, and
not with other payment requirements.
(7) HHCAHPS Requirements for CY
2014
For the CY 2014 APU, HHCAHPS data
collection and reporting is required for
four continuous quarters. The data
collection period includes the second
quarter 2012 through the first quarter
2013. HHAs are required to submit their
HHCAHPS data files to the Home Health
CAHPS Data Center the third Thursday
of the month for the months of October
2012, January 2013, April 2013 and July
2013. HHAs are required to submit their
HHCAHPS data files to the Home Health
CAHPS Data Center for CY 2014 as
follows: For the second quarter 2012 by
11:59 p.m., e.d.t., on October 18, 2012;
for the third quarter 2012 by 11:59 p.m.,
e.s.t., on January 17, 2013; for the fourth
quarter 2012 by 11:59 p.m., e.d.t., on
April 18, 2013; and for the first quarter
2013 by 11:59 p.m., e.d.t., on July 18,
2013. HHAs must monitor their
HHCAHPS survey vendors to ensure
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68579
that their HHCAHPS data is submitted
on time to the Home Health Care
CAHPS Data Center. HHAs can access
and review their data submission
reports on https://homehealthcahps.org,
and follow the directions on how to
access these reports on their HHA
account.
As noted, we exempt HHAs receiving
Medicare certification on or after April
1, 2012 from the HHCAHPS data
collection and submission requirements
for the CY 2014 APU, as data
submission and analysis will not be
possible for an agency that late in the
reporting period for the CY 2014 APU
requirements.
As noted, all HHAs that have fewer
than 60 HHCAHPS-eligible
unduplicated or unique patients in the
period of April 1, 2011 through March
31, 2012 are exempt from the HHCAHPS
data collection and submission
requirements for the CY 2014 APU. For
the CY 2014 APU, agencies with fewer
than 60 HHCAHPS-eligible,
unduplicated or unique patients are
required to submit their counts on the
Participation Exemption Request form
posted on https://homehealthcahps.org
by 11:59 p.m., e.d.t., on April 18, 2013.
This deadline is firm, as are all of the
HHCAHPS quarterly data submission
deadlines.
(8) For Further Information on the
HHCAHPS Survey
We strongly encourage HHAs
interested in learning about the survey
to view the official Web site for the
HHCAHPS at https//
homelhealthcahps.org. HHAs can also
send an email to the HHCAHPS Survey
Coordination Team at
HHCAHPS@rti.org. or telephone tollfree (1–(866) 354–0985) for more
information about HHCAHPS.
The following is summary of the
comments we received regarding the
HHCAHPS proposal.
Comment: We received several
comments about the proposed
reconsiderations and appeals process.
We were urged not to have the process
be burdensome to HHAs.
Response: We agree that the process
should not be burdensome to HHAs. We
have modeled the HHCAHPS
reconsiderations and appeals process
after the one that is used for Hospital
CAHPS, which has been in use for 6
years. We have described the HHCAHPS
requirements in the notification memo
that the RHHIs/MACs will be sending to
the affected HHAs, on behalf of CMS.
We believe that the HHAs will have
enough time to prepare their
reconsideration appeal to CMS within
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30 days. CMS will fully examine every
reconsideration request.
Comment: We received comments
that there are several variables that may
result in the collection of inaccurate
HHCAHPS data that are beyond the
control of the HHA such as patient
confusion on how to complete the
survey or patient refusal to complete the
survey.
Response: We allow proxies to
complete the HHCAHPS survey for
home health patients who are unable to
complete the survey on their own.
Patient refusal to complete the survey
does not result in the collection of
inaccurate HHCAHPS data.
As long as the HHCAHPS protocols
are followed, HHAs will not be
penalized. To meet the APU
requirements, HHAs must follow the
survey protocols, which allow for nonresponse and proxy response.
Comment: We received comments
that recommended that the results of the
HHCAHPS vendor oversight activities
be made available to HHAs so they can
make informed decisions when
selecting or changing their HHCAHPS
vendors.
Response: If a vendor has significant
issues that would put HHAs at risk for
not meeting the APU requirements,
CMS will immediately alert the affected
HHAs, thereby providing agencies with
sufficient time to switch vendors and to
ensure that the HHAs will not be
penalized if their data collection
activities are interrupted because of
circumstances outside of their control.
We would also note this next to the
vendor name on the vendor list that is
posted on https://homehealthcahps.org.
If we find that a vendor does not comply
with HHCAHPS protocols and
guidelines, or correct in a timely
manner any deficiencies that are found
during oversight activities, then we will
remove that vendor from the approved
list.
Comment: We received comments
that recommended that CMS explicitly
hold HHAs harmless for any failures of
HHCAHPS vendors to comply with
HHCAHPS protocols and guidelines.
Response: We believe that HHAs must
monitor their vendors to ensure that
vendors submit data on time, by using
the information that is available to them
on the HHCAHPS Data Submission
Reports. This will also ensure that data
is submitted in the proper format, and
will subsequently be successfully
submitted to the HHCAHPS Data Center.
Comment: We received comments
that recommended that CMS provide
clear instructions to HHAs on when and
what information is appropriate for the
HHA to share with its patients regarding
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the HHCAHPS survey. While we are
aware that some of this information has
been provided by HHCAHPS
contractors, there is still some confusion
among providers, and therefore, we
believe that additional guidance from
the Agency is warranted.
Response: HHAs can say to clients
that they may receive an HHCAHPS
survey and that it is a legitimate survey
that is implemented and sponsored by
the Federal government. However, the
HHAs should not give information that
would coach the patients as to how to
complete the HHCAHPS survey. Also,
we are assuming that when the
commenters wrote that ‘‘we are aware
that some of this information has been
provided by HHCAHPS contractors’’
that they were referring to the
HHCAHPS survey vendors, which are
not CMS contractors.
Comment: We received comments of
concern that the HHCAHPS data may be
more subjective impressions of
interpersonal relationships with staff
than valid measures of clinical and
administrative excellence. We would
urge CMS to work more closely with the
members of the home health community
like us as the data begins to be compiled
prior to public reporting to prevent
possible misunderstanding of these
measures by the public.
Response: The HHCAHPS is not
supposed to measure the aspects of
clinical care that can be captured
through a medical record. HHCAHPS
focuses on areas where the patient is the
best or only source for the information.
We believe that the HHCAHPS is a valid
measure of patient’s perspectives of
home health care. The developmental
work on the Home Health Care CAHPS
began in mid-2006, and the first survey
was field-tested (to validate the length
and content of the survey) in 2008 by
the AHRQ and the CAHPS grantees, and
the final survey was used in a national
randomized mode experiment in 2009
through 2010.
A rigorous, scientific process was
used in the development of the survey,
including: A public Call for Measures;
literature reviews; focus groups with HH
patients; cognitive interviews (several
rounds in 2007) with HH patients;
extensive stakeholder input; technical
expert panel reviews in each phase of
the developmental work;
comprehensive assessment review and
subsequent endorsement in March 2009
by the National Quality Forum. The
NQF represents the consensus of many
health care providers, consumer groups,
professional associations, purchasers,
Federal agencies and research and
quality organizations); and public
responses to Federal Register notices.
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The survey received OMB clearance in
July 2009. Key stakeholders and home
health experts have been regularly
providing feedback to CMS about the
draft HHCAHPS data displays and draft
information that is being prepared for
the display of HHCAHPS data that is
being reported on Home Health
Compare on https://www.medicare.gov in
April 2012 and forward.
Comment: We received comments
that support the implementation of
HHCAHPS because it will meaningfully
reduce the incidence of improper home
health service use and it will
complement the changes approved by
the Congress.
Response: We appreciate supportive
comments about HHCAHPS. The survey
will provide an opportunity for patients
to share their perspective about the care
provided, and will complement the
changes approved by the Congress to
expand the quality measures and to
increase transparency in home health.
Comment: We received a comment
that urged CMS to involve HHA
representatives in the analysis of
CAHPS to determine which measures
are most appropriate for public
reporting before posting them on
Medicare Compare.
Response: We are following the
precedence of other CAHPS surveys that
publicly report the data concerning
health care providers. We tested and
analyzed the individual questions and
how they are best grouped together in
the formative and developmental stages
of the survey that included a national
field test. The Technical Expert Panel
and the public stakeholders for the
Home Health Care CAHPS survey chose
these measures after they reviewed the
findings of the research grantees that
tested the CAHPS survey in the field on
behalf of the Federal government. The
three composite measures and the two
global overall ratings were chosen to
best inform the public about the
HHCAHPS results for national
comparisons.
Comment: We received a comment
that the HHA should receive an
administrative reimbursement to cover
the costs of implementing HHCAHPS.
Response: The collection of the
patient’s perspectives of care quality
data for similar CAHPS surveys, such as
the Hospital CAHPS survey, follow the
same model where in the health care
providers pay the approved survey
vendors for the data collection costs and
we pay for the training, technical
assistance, oversight of vendors and
data analysis costs. HHAs are strongly
encouraged to report their respective
HHCAHPS costs on their CRs but
should note that these costs are not
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reimbursable under the HH PPS. It is
advised that HHAs ‘‘shop around’’ for
the best cost value for them before
contracting with an approved
HHCAHPS vendor to conduct the
survey on their behalf. The HHCAHP
approved survey vendors list is on
https://homehealthcahps.org.
In summary, we are finalizing the
HHCAHPS requirements for the CY
2012 APU as proposed in the CY 2012
HH PPS proposed rule (76 FR 41051).
There are no policy changes in
HHCAHPS from the proposed rule to
the final rule regarding HHCAHPS. The
same requirements and deadlines stand
as final. The HHCAHPS data submission
due date for the CY 2012 APU are in the
CY 2011 HH PPS final rule, and they
mirror the dates that we stated in this
CY 2012 HH PPS final rule. All data
submission deadlines for HHCAHPS are
posted on the official Web site for
HHCAHPS, https://
homehealthcahps.org.
The periods of a dry run in the third
quarter 2010, and monthly data
collection beginning in October 2010
through March 2011, comprise the
HHCAHPS reporting requirements for
the CY 2012 APU. HHAs with patient
counts of 59 or fewer patients for the
period of April 1, 2009 through March
31, 2010 are exempt from the HHCAHPS
reporting requirements for the CY 2012
APU. HHAs that became Medicarecertified on April 1, 2010 or later are
exempt from the HHCAHPS reporting
requirements for the CY 2012 APU.
Continuous monthly data collection is
required for HHCAHPS, as the data
collection period of April 2011 through
March 2012, comprise the data
collection months for the CY 2013 APU,
and the data collection period of April
2012 through March 2013, comprise the
data collection months for the CY 2014
APU.
3. Home Health Wage Index
Sections 1895(b)(4)(A)(ii) and (b)(4)(C)
of the Act require the Secretary to
provide appropriate adjustments to the
proportion of the payment amount
under the HH PPS to account for area
wage differences, using adjustment
factors that reflect the relative level of
wages and wage-related costs applicable
to the furnishing of home health
services. We apply the appropriate wage
index value to the labor portion of the
HH PPS rates based on the site of
service for the beneficiary (defined by
section 1861(m) of the Act as the
beneficiary’s place of residence).
Previously, we determined each HHA’s
labor market area based on definitions
of Metropolitan Statistical Areas (MSAs)
issued by the Office of Management and
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Budget (OMB). We have consistently
used the pre-floor, pre-reclassified
hospital wage index data to adjust the
labor portion of the HH PPS rates. We
believe the use of the pre-floor, prereclassified hospital wage index data
results in an appropriate adjustment to
the labor portion of the costs, as
required by statute.
In the November 9, 2005 final rule for
CY 2006 (70 FR 68132), we began
adopting revised labor market area
definitions as discussed in the Office of
Management and Budget (OMB)
Bulletin No. 03–04 (June 6, 2003). This
bulletin announced revised definitions
for MSAs and the creation of
Micropolitan Statistical Areas and CoreBased Statistical Areas (CBSAs). The
bulletin is available online at https://
www.whitehouse.gov/omb/bulletins/
b03–04.html. In addition, OMB
published subsequent bulletins
regarding CBSA changes, including
changes in CBSA numbers and titles.
This rule incorporates the CBSA
changes published in the most recent
OMB bulletin. The OMB bulletins are
available at https://www.whitehouse.gov/
omb/bulletins/.
Finally, we continue to use the
methodology discussed in the CY 2007
HH PPS final rule for (71 FR 65884) to
address those geographic areas in which
there are no Inpatient Prospective
Payment System (IPPS) hospitals and,
thus, no hospital wage data on which to
base the calculation of the HH PPS wage
index. For rural areas that do not have
IPPS hospitals and, therefore, lack
hospital wage data on which to base a
wage index, we use the average wage
index from all contiguous CBSAs as a
reasonable proxy. Since CY 2007, this
methodology has been used to calculate
the wage index for rural Massachusetts.
However, as indicated in the CY 2012
HH PPS proposed rule (76 FR 41019),
there is now a rural IPPS hospital with
wage data upon which to base a wage
index for rural Massachusetts.
Therefore, it is not necessary to apply
this methodology to rural Massachusetts
for CY 2012.
For rural Puerto Rico, we do not apply
this methodology due to the distinct
economic circumstances that exist there,
but instead continue using the most
recent wage index previously available
for that area (from CY 2005).
For urban areas without IPPS
hospitals, we use the average wage
index of all urban areas within the State
as a reasonable proxy for the wage index
for that CBSA. At the time of the
proposed rule, both CBSA 49700, Yuba
City, CA, and CBSA 25980, HinesvilleFort Stewart, GA, did not have IPPS
hospital wage data. However, for this
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final rule, Yuba City, CA now has IPPS
hospital wage data. Therefore, the only
urban area without IPPS hospital wage
data is Hinesville-Fort Stewart, Georgia
(CBSA 25980).
The wage index values are available
on the CMS Web site at https://
www.cms.gov/HomeHealthPPS/
HHPPSRN/list.asp.
The following is summary of the
comments we received regarding the
home health wage index proposal.
Comment: A commenter stated that
the current method of adjusting labor
costs using the hospital wage index does
not accurately account for increased
travel costs and lost productivity for
time spent traveling to provide services
in less densely populated/rural areas.
The commenter believes that, pending
development of an industry specific
wage index, CMS should fully
investigate the impact of population
density on HHAs costs and efficiency.
The commenter suggested that CMS add
a population density factor by zip code
during calculation of the labor portion
of the payment to account for increased
costs of providing services in less
densely populated areas. This would
provide an incentive to providers to
serve patients in rural areas while at the
same time reducing excess
reimbursement for services provided in
densely populated urban and congregate
living facilities. The net result of the
adjustment should be budget neutral or
perhaps even result in a cost savings.
Response: We do not have evidence
that a population density adjustment is
an appropriate adjustment to the wage
index. Section 3131(d) of the Affordable
Care Act requires the Secretary to
conduct a study on HHA costs involved
with providing ongoing access to care to
low-income beneficiaries in medically
underserved areas, and in treating
beneficiaries with varying levels of
severity of illness. Because medically
underserved areas may be associated
with population density, the purview of
the above mentioned study may
possibly include feasibility of such an
adjustment as part of that research.
However, we note that in setting up the
original HH PPS rates in 2000, we were
not able to find any cost differences
between rural and urban HHAs. While
rural agencies cite the added cost of
long distance travel to treat their
patients, urban/non-rural agencies also
cite added costs such as needed security
measures and the volume of traffic that
they must absorb. We will consider this
suggestion in future research activities.
Comment: One commenter disagreed
with the CMS decision to switch from
MSAs to CBSAs for the wage index
calculation because it had a negative
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financial impact on the commenter’s
geographic area. The commenter notes
that more than half of the CBSAs in his
State will experience a decrease in CY
2012.
Response: We continue to believe that
using OMB’s CBSA designations reflect
the most recent available geographic
classifications and are a reasonable and
appropriate way to define geographic
areas for purposes of determining wage
index values.
Comment: Several commenters
expressed concerns about inequities in
how the wage index is calculated and
implemented for HHAs as compared to
hospitals within the same CBSA. The
wage index for HHA’s is based on prefloor, pre-reclassified hospital wage
data, but hospitals in the same
geographic area have the ability to apply
for reclassification and may be eligible
for a rural floor wage index. The
commenters state that this inequity has
created a competitive advantage for
hospitals in recruiting and retaining
increasingly scarce nurses and
therapists. Any wage index deviations
available to hospitals should be equally
available to other types of providers.
Response: The regulations that govern
the HH PPS currently do not provide a
mechanism for allowing providers to
seek geographic reclassification. As we
have explained in past rulemaking
(most recently, in the CY 2011 HH PPS
final rule (75 FR 70411)), the rural floor
and geographic reclassification in the
IPPS are statutorily authorized and are
only applicable to hospital payments.
The rural floor provision is provided at
section 4410 of the Balanced Budget Act
of 1997 (Pub. L. 105–33) (BBA) and is
exclusive to hospitals. The
reclassification provision provided at
section 1886(d)(10) of the Act is also
specific to hospitals.
Comment: One commenter stated that
the hospitals in his area are CAHs and
are cost reimbursed. The commenter
stated that HHAs cannot offer
competitive wages for caregivers who
are paid higher and receive better
benefits from CAHS in their same
service area.
Response: Section 1895(b)(4)(C) of the
Act states that the wage adjustment
factors used under the HH PPS may be
the factors used by the Secretary for
purposes of section 1886(d)(3)(E) of the
Act. Accordingly, we continue to
believe that the pre-floor/prereclassified hospice wage index
continues to be the appropriate wage
index used by the HH PPS.
Comment: Several commenters
recommended that CMS overhaul the
entire wage index system, as
recommended by MedPAC in its
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comments to CMS regarding the
hospital wage index, to eliminate such
inequities in the future. The
commenters requested CMS to put a
freeze on any wage index decreases.
One commenter believes that the
Affordable Care Act gives CMS the
authority needed to issue the
appropriate changes. However, the
commenter did not support the
institution of a new index model except
when it applies in all provider sectors
with whatever distinctions are
appropriate to a provider’s employment
mix. Another commenter believes that
the use of the hospital wage index to
adjust non-hospital reimbursement rates
was originally intended to be an interim
measure while CMS examined industryspecific wage data for post-acute
services.
Response: As several commenters
noted, we have research currently under
way to examine alternatives to the wage
index methodology, including the issues
the commenters mentioned about
ensuring that the wage index minimizes
fluctuations, matches the costs of labor
in the market, and provides for a single
wage index policy. Section 3137 of the
Affordable Care Act provides that the
Secretary of Health and Human Services
shall submit a report to the Congress by
December 31, 2011, that includes a plan
to reform the hospital wage index
system. Section 3137 of the Affordable
Care Act further instructs the Secretary
to take into account MedPAC’s
recommendations on the Medicare wage
index classification system, and to
include one or more proposals to revise
the wage index adjustment applied
under section 1886(d)(3)(E) of the Act
for purposes of the IPPS. The
proposal(s) are to consider each of the
following:
• The use of Bureau of Labor
Statistics data or other data or
methodologies to calculate relative
wages for each geographic area.
• Minimizing variations in wage
index adjustments between and within
MSAs and statewide rural areas.
• Methods to minimize the volatility
of wage index adjustments while
maintaining the principle of budget
neutrality.
• The effect that the implementation
of the proposal would have on health
care providers in each region of the
country.
• Issues relating to occupational mix,
such as staffing practices and any
evidence on quality of care and patient
safety, including any recommendations
for alternative calculations to the
occupational mix.
• Provide for a transition.
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To assist us in meeting the
requirements of section 106(b)(2) of the
Tax Relief and Health Care Act of 2006
(Pub. L. 109–432, enacted on December
20, 2006) (TRHCA), in February 2008,
we awarded a Task Order under our
Expedited Research and Demonstration
Contract to Acumen, LLC. Acumen, LLC
conducted a study of both the current
methodology used to construct the
Medicare wage index and the
recommendations reported to the
Congress by MedPAC. Parts 1 and 2 of
Acumen’s final report, which analyzes
the strengths and weaknesses of the data
sources used to construct the CMS and
MedPAC indexes, is available online at
https://www.acumenllc.com/reports/cms.
MedPAC’s recommendations were
presented in the FY 2009 IPPS final rule
(available online at https://
edocket.access.gpo.gov/2008/pdf/E817914.pdf). We plan to monitor these
efforts closely, and to determine what
impact or influence they may have on
the HH PPS wage index. At this time,
we will continue to use the wage index
policies and methodologies described in
this final rule to adjust the HH PPS rates
for differences in area wage levels.
However, we will continue to monitor
MedPAC and Acumen’s progress on any
revisions to the IPPS wage index to
identify any policy changes that may be
appropriate for HHAs and potential
changes may be presented in a future
proposed rule. The latest information on
hospital wage index reform is discussed
in the ‘‘Proposed Changes to the
Hospital Inpatient Prospective Payment
Systems for Acute Care Hospitals and
the Long-Term Care Hospital
Prospective Payment System and Fiscal
Year 2012 Rates’’ proposed rule,
published in the May 5, 2011 Federal
Register (76 FR 25788).
Comment: Another commenter objects
to the use of the pre-floor, prereclassified wage index for home health
due to the inaccuracy of using a mix of
hospital costs to measure home health
labor costs. Problems with the errors
and omissions in the hospital cost
reporting method are well documented.
Response: We utilize efficient means
to ensure and review the accuracy of the
hospital CR data and resulting wage
index. The home health wage index is
derived from the pre-floor, prereclassified hospital wage index which
is calculated based on CR data from
hospitals paid under the hospital IPPS.
All IPPS hospitals must complete the
wage index survey (Worksheet S–3,
Parts II and III) as part of their Medicare
CRs. Cost reports will be rejected if
Worksheet S–3 is not completed. In
addition, our intermediaries perform
desk reviews on all hospitals’
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Worksheet S–3 wage data, and we run
edits on the wage data to further ensure
the accuracy and validity of the wage
data. Furthermore, HHAs have the
opportunity to submit comments on the
hospital wage index data during the
annual IPPS rulemaking period.
Therefore, we believe our review
processes result in an accurate reflection
of the applicable hospital wages for the
areas given. We also believe the use of
this hospital wage data results in an
appropriate adjustment to the labor
portion of the home health costs, as
required by statute.
Comment: A commenter stated that
CMS exacerbates HH wage index
disparities by changing the methodology
used to address geographic areas in
which there are no IPPS hospitals, and
thus, no hospital wage data on which to
base the calculation of the HH PPS wage
index. For rural areas that do not have
IPPS hospitals, CMS used the average
wage index from all contiguous CBSAs
as a reasonable estimate. This
methodology was used to calculate the
wage index for only one state,
Massachusetts. It is well documented
that two CAHs in Massachusetts
converted back from CAH status even
though doing so would not benefit them
directly. By giving up their cost based
reimbursement, these two hospitals
increase the home health wage index in
Massachusetts. Due to the budget
neutral nature of this methodology, the
HHAs in the other 49 states will face a
reduction in payments. The commenter
requested that CMS re-evaluate the
methodology used to calculate the wage
index for rural areas that do not have
IPPS hospitals such as was the case for
the State of Massachusetts. The
inequitable distribution of Medicare
payments due to obvious manipulation
by specific providers clearly represents
preferential treatment.
Response: By nature, the hospital
wage index is constructed, in the
aggregate, to average to 1.0. Therefore,
the index is designed to be budget
neutral in the sense that for areas where
wage index values increase, those
increases are offset by decreases in other
areas. The hospital wage index is based
on hospital cost data and hospital
utilization, and thus, in the aggregate,
when applied to HH utilization for the
purposes of impacts, the average wage
index value may not result to be exactly
1.0. For instance, as explained in the
impact analysis section for this final
rule, the new wage index will result in
an estimated increase of $10 million in
aggregate payments to HHAs in CY
2012.
When there is an IPPS hospital in an
area, we use the IPPS hospital(s) wage
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data to calculate the pre-floor, prereclassified hospital wage index which
is used for the HH PPS wage index. In
the CY 2007 HH PPS final rule (71 FR
65905), we established a policy to
address rural areas without an IPPS
hospital. We use the average wage index
from CBSAs which are contiguous to the
rural area as an acceptable proxy for a
rural wage index. Other post acute
payment systems such as SNF and IRF
adopted this policy as well. When an
IPPS hospital emerges in an area that
previously had none, our policy
requires that we use the CR data from
that hospital to compute that areas wage
index.
Comment: Beginning in FY 2004,
excluding CAH data from the
calculation of the hospital wage index
affects the calculation of the HH Wage
index. As CAHs are located in rural
areas, the absence of CAH wage data
further compromises the accuracy, and
therefore, appropriateness, of using a
hospital wage index to determine the
labor costs of HHAs located in rural
areas.
Response: As stated above, beginning
with the CY 2007 HH PPS final rule (71
FR 65905), we established a policy to
address rural areas without an IPPS
hospital. In that rule, we addressed
commenters concerns with our former
policy of using the last available rural
wage index for those areas which no
longer had an IPPS hospital. We
outlined four alternatives for imputing a
wage index for those rural areas. We
believe that using the average wage
index from CBSAs which are contiguous
to the rural area as an acceptable proxy
for a rural wage index is accurate and
appropriate.
Comment: One commenter noted that
the wage index is subject to swings in
area values that are far beyond
manageable by providers. With a wage
index reduction of over 10 points in
some cases, it is impossible to sensibly
budget a fiscal year, particularly when
the index is not published until a few
months before a calendar year. The
commenter suggested that CMS apply
limits on the decreases and increases
that can occur from one year to the next
with the wage index.
Response: Updating the wage index
must be done in a budget neutral
manner. Establishing limits on how
much a particular wage index could
increase or decrease from one year to
another would not be consistent with
budget neutrality. Consequently, we
implement updated versions of the wage
index, in their entirety.
Comment: A commenter is concerned
that the wage index in his locale was
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proposed to decrease by 4.54 percent
from CY 2011 to CY 2012.
Response: The wage index values are
based on hospital cost data.
Consequently, increases and decreases
in the wage index values are normal.
4. CY 2012 Annual Payment Update
a. National Standardized 60-Day
Episode Rate
The Medicare HH PPS has been in
effect since October 1, 2000. As set forth
in the July 3, 2000 final rule (65 FR
41128), the base unit of payment under
the Medicare HH PPS is a national
standardized 60-day episode rate. As set
forth in § 484.220, we adjust the
national standardized 60-day episode
rate by a case-mix relative weight and a
wage index value based on the site of
service for the beneficiary.
In the CY 2008 HH PPS final rule with
comment period, we refined the casemix methodology and also rebased and
revised the home health market basket.
To provide appropriate adjustments to
the proportion of the payment amount
under the HH PPS to account for area
wage difference, we apply the
appropriate wage index value to the
labor portion of the HH PPS rates. The
labor-related share of the case-mix
adjusted 60-day episode rate is 77.082
percent and the non-labor-related share
is 22.918 percent. The CY 2012 HH PPS
rates use the same case-mix
methodology and application of the
wage index adjustment to the labor
portion of the HH PPS rates as set forth
in the CY 2008 HH PPS final rule with
comment period. Following are the
steps we take to compute the case-mix
and wage adjusted 60-day episode rate:
(1) Multiply the national 60-day
episode rate by the patient’s applicable
case-mix weight.
(2) Divide the case-mix adjusted
amount into a labor (77.082 percent)
and a non-labor portion (22.918
percent).
(3) Multiply the labor portion by the
applicable wage index based on the site
of service of the beneficiary.
(4) Add the wage-adjusted portion to
the non-labor portion, yielding the casemix and wage adjusted 60-day episode
rate, subject to any additional applicable
adjustments.
In accordance with section
1895(b)(3)(B) of the Act, this document
constitutes the annual update of the HH
PPS rates. The HH PPS regulations at
§ 484.225 set forth the specific annual
percentage update methodology. In
accordance with § 484.225(i), for a HHA
that does not submit home health
quality data, as specified by the
Secretary, the unadjusted national
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prospective 60-day episode rate is equal
to the rate for the previous calendar year
increased by the applicable home health
market basket index amount minus two
percentage points. Any reduction of the
percentage change will apply only to the
calendar year involved and will not be
considered in computing the
prospective payment amount for a
subsequent calendar year.
For CY 2012, we proposed to base the
wage index adjustment to the labor
portion of the HH PPS rates on the most
recent pre-floor and pre-reclassified
hospital wage index. As discussed in
the July 3, 2000 HH PPS final rule, for
episodes with four or fewer visits,
Medicare pays the national per-visit
amount by discipline, referred to as a
LUPA. We update the national per-visit
rates by discipline annually by the
applicable home health market basket
percentage. We adjust the national pervisit rate by the appropriate wage index
based on the site of service for the
beneficiary, as set forth in § 484.230. We
proposed to adjust the labor portion of
the updated national per-visit rates used
to calculate LUPAs by the most recent
pre-floor and pre-reclassified hospital
wage index. We also proposed to update
the LUPA add-on payment amount and
the NRS conversion factor by the
applicable home health market basket
update of 1.4 percent for CY 2012.
Medicare pays the 60-day case-mix
and wage-adjusted episode payment on
a split percentage payment approach.
The split percentage payment approach
includes an initial percentage payment
and a final percentage payment as set
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forth in § 484.205(b)(1) and
§ 484.205(b)(2). We may base the initial
percentage payment on the submission
of a request for anticipated payment
(RAP) and the final percentage payment
on the submission of the claim for the
episode, as discussed in § 409.43. The
claim for the episode that the HHA
submits for the final percentage
payment determines the total payment
amount for the episode and whether we
make an applicable adjustment to the
60-day case-mix and wage-adjusted
episode payment. The end date of the
60-day episode as reported on the claim
determines which calendar year rates
Medicare would use to pay the claim.
We may also adjust the 60-day casemix and wage-adjusted episode
payment based on the information
submitted on the claim to reflect the
following:
• A low utilization payment provided
on a per-visit basis as set forth in
§ 484.205(c) and § 484.230.
• A PEP adjustment as set forth in
§ 484.205(d) and § 484.235.
• An outlier payment as set forth in
§ 484.205(e) and § 484.240.
HH PPS payment rates are updated,
annually, by the HH PPS payment
update percentage. For CY 2012, the HH
PPS payment update percentage is the
CY 2012 home health market basket
update percentage (2.4 percent) minus 1
percentage point (per the Affordable
Care Act) for a CY 2012 HH PPS
payment update percentage of 1.4
percent. For HHAs that do not submit
the required quality data, the CY 2012
HH PPS payment update percentage (1.4
percent) is reduced by 2 percentage
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points for a CY 2012 HH PPS payment
update percentage (for HHAs that do not
submit the required quality data) of
¥0.6 percent.
b. Updated CY 2012 National
Standardized 60-Day Episode Payment
Rate
In calculating the annual update for
the CY 2012 national standardized 60day episode payment rates, we first look
at the CY 2011 rates as a starting point.
The CY 2011 national standardized 60day episode payment rate is $2,192.07.
Next, we update that payment amount
by the CY 2012 HH PPS payment update
percentage of 1.4 percent.
As previously discussed in section
II.A. of this final rule (‘‘Case-Mix
Measurement’’), our updated analysis of
the change in case-mix that is not due
to an underlying change in patient
health status reveals an additional
increase in nominal change in case-mix.
Therefore, we reduce rates by 3.79
percent in CY 2012, resulting in an
updated CY 2012 national standardized
60-day episode payment rate of
$2,138.52. The updated CY 2012
national standardized 60-day episode
payment rate for an HHA that submits
the required quality data is shown in
Table 13. The updated CY 2012 national
standardized 60-day episode payment
rate for an HHA that does not submit the
required quality data is updated by the
CY 2012 HH PPS payment update
percentage (1.4 percent) minus 2
percentage points and is shown in Table
14.
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In calculating the CY 2012 national
per-visit rates used to calculate
payments for LUPA episodes and to
compute the imputed costs in outlier
calculations, the CY 2011 national per-
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visit rates for each discipline are
updated by the CY 2012 HH PPS
payment update percentage of 1.4
percent. National per-visit rates are not
subject to the 3.79 percent reduction
related to the nominal increase in casemix. The CY 2012 national per-visit
rates per discipline are shown in Table
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15. The six home health disciplines are
as follows:
• Home Health Aide (HH aide);
• Medical Social Services (MSS);
• Occupational Therapy (OT);
• Physical Therapy (PT);
• Skilled Nursing (SN); and
• Speech Language Pathology
Therapy (SLP).
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c. National Per-Visit Rates Used To Pay
LUPAs and Compute Imputed Costs
Used in Outlier Calculations
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d. LUPA Add-On Payment Amount
Update
Beginning in CY 2008, LUPA episodes
that occur as the only episode or initial
episode in a sequence of adjacent
episodes are adjusted by adding an
additional amount to the LUPA
payment before adjusting for area wage
differences. We update the LUPA
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payment amount by the CY 2012 HH
PPS payment update percentage of 1.4
percent. The LUPA add-on payment
amount is not subject to the 3.79 percent
reduction related to the nominal
increase in case-mix. For CY 2012, we
update the add-on to the LUPA payment
to HHAs that submit the required
quality data by the CY 2012 HH PPS
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payment update percentage of 1.4
percent. The CY 2012 LUPA add-on
payment amount is shown in Table 16.
We update the add-on to the LUPA
payment to HHAs that do not submit the
required quality data by the CY 2012
HH PPS payment update percentage (1.4
percent) minus two percentage points,
for a –0.6 percent update.
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e. Nonroutine Medical Supply
Conversion Factor Update
percentage of 1.4 percent. The final
updated CY 2012 NRS conversion factor
for 2012 appears in Table 17. For CY
2012, the NRS conversion factor is
$53.28.
amounts for the various severity levels
are shown in Table 18.
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Using the NRS conversion factor
($53.28) for CY 2012, the payment
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Payments for nonroutine medical
supplies (NRS) are computed by
multiplying the relative weight for a
particular severity level by the NRS
conversion factor. We increase CY 2011
NRS conversion factor ($52.54) by the
CY 2012 HH PPS payment update
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increase in payments resulting in the
application of this section of the statute.
The 3 percent rural add-on is applied
to the national standardized 60-day
episode rate, national per-visit rates,
LUPA add-on payment, and NRS
conversion factor when home health
services are provided in rural (nonCBSA) areas. Refer to Tables 21 thru 25
for these payment rates.
BILLING CODE 4120–01–P
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ER04NO11.026
section 1886(d)(2)(D) of the Act), for
episodes and visits ending on or after
April 1, 2010 and before January 1,
2016. The statute waives budget
neutrality related to this provision, as
the statute specifically states that the
Secretary shall not reduce the standard
prospective payment amount (or
amounts) under section 1895 of the Act
applicable to home health services
furnished during a period to offset the
ER04NO11.027
do not submit quality data are
calculated in Table 20.
5. Rural Add-On
Section 421(a) of the Medicare
Prescription Drug, Improvement, and
Modernization Act (MMA) of 2003 (Pub.
L. 108–173, enacted on December 8,
2003 and as amended by section 3131(c)
of the Affordable Care Act) provides an
increase of 3 percent of the payment
amount otherwise made under section
1895 of the Act for home health services
furnished in a rural area (as defined in
CY 2012 NRS conversion factor ($52.22)
for HHAs that do not submit quality
data is shown in Table 19.
ER04NO11.025
conversion factor ($52.54) by the CY
2012 HH PPS payment update
percentage of 1.4 percent minus 2
percentage points, or –0.6 percent. The
The payment amounts for the various
severity levels based on the updated
conversion factor ($52.22) for HHAs that
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For HHAs that do not submit the
required quality data, we again begin
with the CY 2011 NRS conversion
factor. We increase the CY 2011 NRS
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BILLING CODE 4120–01–C
E. Therapy Corrections and
Clarifications
1. Therapy Technical Correction to
Regulation Text
In the CY 2012 HH PPS proposed rule
(76 FR 41023 through 41024), we noted
that regulation text at
§ 409.44(c)(2)(i)(D)(2) associated with
changes we made to our regulations for
CY 2011 required a technical correction.
This technical correction was to change
the word ‘‘before’’ in this regulation to
the phrase ‘‘no later than’’ such that the
final wording would read, ‘‘Where more
than one discipline of therapy is being
provided, the qualified therapist from
each discipline must provide the
therapy service and functionally
reassess the patient in accordance with
§ 409.44(c)(2)(i)(A) during the visit
which would occur close to but no later
than the 19th visit per the plan of care.’’
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2. Occupational Therapy Policy
Clarifications
We also proposed (76 FR 41024) to
clarify when occupational therapy
would be considered a dependent
service versus when it would be
considered a qualifying service under
the Medicare home health benefit,
explaining the history of occupational
therapy as a skilled yet dependent
service under the benefit. We
highlighted key regulations that explain
the status of occupational therapy and
clarified the status of when
occupational therapy becomes a
qualifying service by proposing to
change the regulation text at
§ 409.42(c)(4) to establish exactly when
occupational therapy becomes a
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qualifying service. We proposed to
amend § 409.42(c)(4) to state that
occupational therapy services that meet
the requirements of § 409.44(c) initially
qualify for home health coverage as a
dependent service as defined in
§ 409.45(d) if the beneficiary’s eligibility
for home health services was
established by virtue of a prior need for
intermittent skilled nursing care,
speech-language pathology services, or
physical therapy in the current or prior
certification period. Subsequent to an
initial covered occupational therapy
service, continuing occupational
therapy services which meet the
requirements of § 409.44(c) would be
considered qualifying services.
We also proposed a change to
§ 409.44(c) to include a technical
correction to this regulation text. We
proposed to correct ‘‘(c)(1) through (4)’’
to, ‘‘(c)(1) and (2),’’ which is the correct
reference.
The following is a summary of the
comments we received regarding the
therapy corrections and clarifications.
Comment: All commenters were
supportive of or neutral toward the
policy clarification regarding when
occupational therapy becomes a
qualifying service. Among these
comments, some requested we further
clarify whether occupational therapy
can continue to be the qualifying service
when the need for occupational therapy
spans into a subsequent episode. One
commenter asked for further
clarification regarding when
occupational therapy must be followed
by a skilled nursing, physician therapy,
or speech therapy service. Another
commenter urged CMS to follow up this
policy clarification with detailed
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explanations in the Medicare Benefit
Policy Manual, including through the
use of examples. Another commenter
expressing agreement with our policy
clarification, equated the clarifying
policy with the elimination of the
requirement that an original qualifying
service must complete at least one
covered visit after the initial dependent
occupational therapy visit.
Response: We thank commenters for
their positive response to our
clarification of when occupational
therapy becomes a qualifying service.
Because some commenters have
suggested that the regulation text could
be clarified for episodes beyond the
initial episode for patients receiving
more than one episode of home health,
we are revising § 409.42(c)(4) to further
clarify the regulation text in this final
rule.
In response to the commenter who
stated that the proposed policy removed
the requirement that an original
qualifying service must complete at
least one covered visit after the initial
dependent occupational therapy visit,
we note that the commenter’s
interpretation of the proposed policy is
not accurate as we will describe below.
In response to the commenter who
requested further clarification regarding
when occupational therapy must be
followed by a skilled nursing, physician
therapy, or speech therapy service, we
clarify that the initial occupational
therapy service must be followed by
another qualifying service to be covered.
Subsequent occupational therapy
services, however, do not require
another qualifying service to follow
them. Specifically, we are clarifying that
once a beneficiary’s eligibility for home
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health services has been established by
virtue of a prior need for an intermittent
skilled service (that is, skilled nursing
care, physical therapy, or speechlanguage pathology therapy), and the
beneficiary also meets each of the
criteria specified in § 409.44(c), the first
occupational therapy service provided
to the patient is considered a dependent
service. We note that § 409.45(a)
describes that in order for Medicare to
cover a dependent service, the service
must be followed by a qualifying skilled
service, which meets the criteria in
§ 409.44(c), except when certain
unexpected circumstances occur, such
as an unexpected inpatient admission or
the death of the beneficiary. As such,
the first occupational therapy service,
which is a dependent service, is covered
only when followed by an intermittent
skilled nursing care service, speechlanguage pathology service, or physical
therapy service which meet the criteria
in § 409.44(c), unless the exceptional
circumstance criteria is met. Once that
requirement for covered occupational
therapy has been met, all subsequent
occupational therapy services that meet
the criteria in § 409.44(c) are considered
to be qualifying, both in the current and
in subsequent certification periods
(subsequent adjacent episodes). Once
occupational therapy has become a
qualifying service, it remains a
qualifying service from that point on as
long as the services continue to meet the
criteria in § 409.44(c). Therefore, there is
no need for another qualifying skilled
service to follow a covered qualifying
occupational therapy service at the end
of a home health episode. It is possible
for covered qualifying occupational
therapy services to exist at the end of an
initial episode for a given beneficiary, if
all of the above described requirements/
criteria are met, without additional
qualifying skilled nursing care, physical
therapy, or speech-language pathology
services following that covered
qualifying occupational service. We
plan to include these clarifications in
Pub. 100–02, Chapter 7, Medicare
Benefit Policy Manual.
Comment: We received several
comments regarding the therapy
reassessment requirements finalized
with the CY 2011 HH PPS final rule.
Some commenters called for CMS to
stop all or part of the requirements. A
number of commenters expressed their
belief that with the 13th and 19th
reassessment visit requirement, the 30day reassessment requirement is not
needed. These commenters stated the
same exceptions permitted for the 13th
and 19th-reassessment visit policy
should apply to the 30-day reassessment
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policy as well to make it more flexible.
A few commenters gave hospitalizations
as an example of when there should be
an exception to the 30-day reassessment
requirement, noting that sometimes
when home health patients are admitted
to the hospital, the hospital might be
delayed several days in contacting the
HHA or not contact the HHA at all. One
commenter questioned the logic of these
therapy regulations, suggesting that they
decrease the productivity of therapists
and other home health staff, leading to
agencies having to hire more staff to
cover the needs of the aging population.
Many commenters stated the therapy
requirements are causing an undue
burden on agencies while interfering
with quality therapy care that a patient
receives. Another commenter suggested
that these therapy policies have had the
opposite effect of what we intended
because agencies that previously did not
use therapy assistants are now using
them more due to the increased costs
associated with our policies. Among the
alternatives that commenters proposed
were to have reassessments required
every 14 days, every 12–15 days for the
first 30 days and then at least every 30
days, and between days 15–21 and 29–
35 (that is, within the 3rd and 5th weeks
of the episode).
Among those commenters who
referred to the issues of administrative
burden and inefficiency, especially in
light of State licensure requirements for
therapists (for example, New York
requires PTAs must be supervised every
6 visits or every 30 days, whichever
comes first), one commenter mentioned
adding a 0.5 full time equivalent (FTE)
for clinical auditing and 1 FTE as a
scheduler to assure appropriate
scheduling and track compliance. Some
commenters suggested that the policy
requires too many assessments;
speaking of multiple-therapy cases, one
commenter stated that these excessive
assessments lead to lumping back-toback assessments by multiple therapists.
The commenter also suggested that due
to our recalibration of therapy weights
that de-emphasize high-therapy
episodes less than before, these 13th
and 19th-reassessment visits are no
longer needed. One commenter stated
that a physical therapist is expected to
document for an occupational therapist.
Another commenter recommended that
we reconvene a technical expert panel
to examine the appropriate use of
therapy assistants and nursing
personnel under the benefit to verify
whether use of therapy assistants in
particular is clinically inappropriate.
The commenter also provided detailed
explanations on the role of therapists
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and therapy assistants and how they
interact with one another in such areas
as communication, decision-making,
and patient care delivery. The
commenter also provided detailed
recommendations on how the therapy
CY 2011 policies can be better
communicated, including through
manual additions and revisions, and
additional Questions and Answers. This
commenter noted that some of the
confusion over the 13th and 19th-visit
requirements has to do with whether the
‘‘count’’ includes both covered and noncovered visits. Last, this commenter
suggested that no additional changes to
our therapy policies be made until a
technical evaluation panel (TEP) can
develop an alternate payment system for
therapy alone. This commenter and
another requested that CMS provide
additional training for therapists and
HHAs regarding these therapy
requirements.
Response: We thank the commenters
for their feedback, but note that the
comments regarding the therapy
reassessment requirements from the CY
2011 HH PPS final rule (75 FR 70372)
are outside of the scope of this rule.
However, we are further clarifying our
policies and respond to comments
regarding the administrative burden of
these requirements and the suggestion
that due to our recalibration of therapy
weights that these requirements are no
longer needed. We respectfully remind
commenters that our reasons for the
therapy reassessments outlined in the
CY 2011 HH PPS final rule were not
only to address payment vulnerabilities
that have led to high use and sometimes
overuse of therapy services, but also to
ensure more qualified therapist
involvement for beneficiaries receiving
high amounts of therapy which
evidence shows results in better patient
outcomes. We note again, as we did in
the CY 2011 HH PPS final rule (75 FR
70390 through 70391), that research
studies conducted by Linda Resnick (of
Brown University) et al., entitled
‘‘Predictors of Physical Therapy Clinic
Performance in the Treatment of
Patients with Low Back Pain
Syndromes’’ (2008, funded by a grant
from the National Institute of Child
Health) and ‘‘State Regulation and the
Delivery of Physical Therapy Services’’
(2006, funded in part through a grant
from the Agency for Healthcare
Research and Quality) provide support
for our therapy policies. Both studies
concluded that more therapy time spent
with a qualified physical therapist, and
less time with a physical therapist
assistant, is more efficient and leads to
better patient outcomes. In these
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studies, the lower percentage of time
seen by a qualified therapist and the
greater percentage of time seen by an
assistant or aide, the more likely a
patient would have more visits per
treatment per episode. The studies also
concluded that, although delegation of
care to therapy support personnel such
as assistants may extend the
productivity of the qualified physical
therapist, it appears to result in less
efficient and effective services. We
believe that by requiring regular visits
by a qualified therapist during a course
of treatment, we will achieve more
appropriate and efficient provision of
therapy services while also achieving
better therapy outcomes.
We also note that even with
reductions in payments for high-therapy
episodes, HHAs receive higher
payments for these episodes than other
episodes. We continue to believe that
the requirement for a qualified therapist
(instead of an assistant) to perform the
needed therapy service at key points in
a patient’s course of treatment, as well
as to assess, measure and document the
effectiveness of the therapy provided
promotes more effective and efficient
care. Regarding the issue of the at least
every 30-days reassessment requirement
and hospitalizations, we also note that
through a recently-posted Question and
Answer, available at https://
www.cms.gov/HomeHealthPPS/
Downloads/
Therapy_Questions_and_Answers.pdf,
we have allowed for one exception to
the 30-day reassessment requirement
(that is, when there is a hold on therapy
due to the patient’s hospitalization for
an unexpected change in the patient’s
condition). As we stated in this question
and answer, we believe that the policy
that requires a qualified therapist to
perform the necessary therapy service,
assess the patient, measure, and
document the effectiveness of the
therapy at least once every 30 days
during a course of therapy treatment is
essential to ensuring that effective,
reasonable, and necessary therapy
services are being provided to the
patient. In the case of a home health
patient where the therapy goals in the
plan of care have not been met, but the
doctor has instead ordered a temporary
interruption in therapy, we would
usually expect that the unique clinical
condition of the patient would enable
the HHA to anticipate that an
interruption in therapy may be needed.
In such cases, the HHA should ensure
that the requirements are met earlier
than the end of the 30-day period to
ensure the HHA meets the 30-day
requirement.
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Where unexpected sudden changes in
the patient’s condition result in a need
to stop therapy, we would expect to see
documentation and evidence in the
medical record which would support an
unexpected change in the patient’s
condition which precludes delivery of
the therapy service. We will modify our
manual to describe that in such
documented cases, the 30-day qualified
therapist visit/assessment/measurement
requirement can be delayed until the
patient’s physician orders therapy to
resume.
We also note in response to the
commenter that stated a physical
therapist would be asked to do the
assessment for an occupational therapist
that, as we stated in the CY 2011 HH
PPS final rule (75 FR 70392),
in§ 409.44(c)(2)(i)(A), we clarified that
our expectation is that only the therapist
of his or her own corresponding
discipline should complete the
reassessment for that therapy discipline.
Because we recognize that agencies and
therapists continue to have questions on
how to count therapy visits to determine
when the required therapy assessment
visits (which are to occur close to both
the 14th and 20th Medicare-covered
therapy visits but no later than the 13th
and 19th Medicare-covered therapy
visits) should occur, we have provided
a clarification in § 409.44(c)(2)(i)(C)(2)
and § 409.44(c)(2)(i)(D)(2) that from a
Medicare payment perspective, only
Medicare-covered visits are to be
considered and counted. Specifically, to
reflect that Medicare payment policy
recognizes only Medicare-covered visits,
we are inserting the words, ‘‘Medicarecovered’’ before the words, ‘‘therapyvisit’’ in both these regulations related
to multiple therapy disciplines being
provided because commenters have
expressed confusion over the process of
counting at both of these junctures. We
have also inserted the words, ‘‘the 14th
Medicare-covered therapy visit’’ at
§ 409.44(c)(2)(i)(C)(2) and the words,
‘‘the 20th Medicare-covered therapy
visit’’ at § 409.44(c)(2)(i)(D)(2) to further
reinforce that the counting of therapy
visits for Medicare payment purposes
should include only those Medicarecovered visits which are close to the
14th and 20th Medicare-covered therapy
visits, but no later than the 13th and
19th Medicare-covered therapy visit.
Last, to further address commenters’
confusion, we have made minor changes
to the regulation text to make the
language between § 409.44(c)(2)(i)(C)(2)
and 409.44(c)(2)(i)(D)(2) consistent.
We note that the counting of therapy
visits for Medicare payment purposes
might differ from how agencies and
therapists would count therapy visits for
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a patient’s plan of care. Consequently,
we have also removed the references to
the patient’s ‘‘plan of care’’ in
§ 409.44(c)(2)(i)(C)(2) and
§ 409.44(c)(2)(i)(D)(2). We also note that
both Medicare-covered and non-covered
visits are included on the Medicare
home health claim forms, where they
should continue to be designated as
covered or non-covered. We conclude
by stating that we are committed to
continuing our provider education
efforts related to these therapy policies.
Comment: Another commenter stated
that there are situations in which a 30day skilled therapist visit for assessment
of therapy must be followed by yet
another skilled therapist visit for
reassessment based on the therapy
threshold.
Response: Again, while this comment
is outside of the scope of this rule, we
would like to note that every time a
qualified therapist performs the therapy
service, assesses the patient, measures
and documents the effectiveness of the
therapy service for that therapy
discipline, the 30-day clock is ‘reset’. As
such, a qualified therapist visit/
assessment/measurement and
documentation which satisfies the
threshold requirement could also satisfy
the 30-day requirement.
Comment: We received one comment
from a physical therapist who provided
an overview of the profession from the
commenter’s perspective, highlighting
payment trends for therapists,
depending on which type of entity
therapists work for (for example,
directly for a HHA or as a contractor or
subcontractor). The commenter
provided examples of personal
employment experiences that
substantiate our concerns regarding
intentional overprescribing of therapy
and inappropriate use of therapy
assistants. Consequently, the commenter
recommended program integrity
policies for CMS’ consideration.
Response: We thank this commenter
for taking the time to provide such a
thoughtful response and will share this
commenter’s suggestions with our
program integrity colleagues.
3. Summarization of Final Policies
As a result of the comments we
received, we will finalize our technical
corrections to § 409.44(c) and
§ 409.44(c)(2)(i)(D)(2). We will also
finalize our regulation text at
§ 409.42(c)(4) to reflect that subsequent
to an initial covered occupational
therapy service, continuing
occupational therapy services which
meet the requirements of § 409.44(c) are
considered to be qualifying services. In
addition, we further clarify the intent of
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this policy on when occupational
therapy becomes a qualifying service by
making the following change to
§ 409.42(c)(4) as it appeared in our
proposed rule: We are adding the
phrase, ‘‘in the current and subsequent
adjacent certification periods
(subsequent adjacent episodes)’’ to the
first line of this regulation text after the
words, ‘‘Occupational therapy
services.’’. Last, as we summarized
above, we further clarify the method for
counting visits for the 13th and 19th
reassessment visit requirements by
adding the words, ‘‘Medicare-covered’’
and deleting the words, ‘‘per the plan of
care,’’ at § 409.44(c)(2)(i)(C)(2) and
§ 409.44(c)(2)(i)(D)(2).
F. Home Health Face-to-Face Encounter
As described in the CY 2011 HH PPS
final rule (75 FR 70427), section 6407(a)
of the Patient Protection and Affordable
Care Act, as amended by section 10605
of the Health Care and Education
Reconciliation Act of 2010 (Pub. L. 111–
152), amended the requirements for
physician certification of home health
services contained in sections
1814(a)(2)(C) and 1835(a)(2)(A) of the
Act by requiring that, as a condition for
payment, prior to certifying a patient’s
eligibility for the home health benefit,
the physician must document that the
physician himself or herself or a
permitted nonphysician practitioner
(NPP) has had a face-to-face encounter
with the patient.
However, we believe that the statute
does not preclude a patient’s acute or
post-acute physician from informing the
certifying physician regarding their
experience with the patient for the
purpose of the face-to-face encounter
requirement, as an NPP can. Instead, we
believe that for patients admitted to
home health following discharge from
an acute or post-acute stay, the statutory
language contains an unintentional gap
in that it does not explicitly include
language which allows the acute or
post-acute attending physician to inform
the certifying physician regarding his or
her face-to-face encounters with the
patient.
Therefore, for patients admitted to
home health upon discharge from a
hospital or post-acute facility, we
proposed to allow the physician who
cared for the patient in an acute or postacute facility to inform the certifying
physician regarding their encounters
with the patient to satisfy the face-toface encounter requirement, much like
an NPP currently can.
The following is a summary of the
comments we received regarding the
home health face-to-face encounter
proposal.
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Comment: Several commenters
expressed concern regarding scenarios
where a face-to-face encounter occurs
late. Specifically, commenters believe
that when the encounter occurs more
than 30 days after the episode start, that
CMS should allow providers the
flexibility to restart the episode with the
start of care date within 30 days of the
face-to-face encounter. Commenters
described longstanding CMS policy that
has allowed such restarting of the
episode for Medicare payment purposes
in certain situations beyond the
agency’s control. Commenters described
that longstanding claims processing
manual guidance has always allowed
some flexibility in the OASIS
completion in targeted scenarios, such
as when a patient’s payer source
changes from Managed Care to Medicare
fee-for-service (FFS). At times, the HHA
is not notified timely that such a payer
change has occurred. Commenters
described that this same payer change
scenario may result in a late face-to-face
encounter, which is a Medicare FFS
requirement. Allowing OASIS flexibility
in targeted scenarios enables the
provider to begin to bill Medicare at the
point in time when all Medicare
eligibility criteria are met.
Response: We thank the commenters
for their comment and while this
comment is outside the scope of this
rule, we are taking this opportunity to
clarify the policy. Conditions of
participation regulations at § 484.55
require HHAs to complete a
comprehensive assessment for each
patient no later than 5 days after the
start of care. In the scenarios described
by the commenter, there exists a
comprehensive assessment which
includes the OASIS assessment which
was completed within 5 days of the
agency providing care to the patient.
However, Medicare FFS eligibility was
not met until later. We acknowledge
that longstanding guidance in Section
80 of Chapter 10 of the Medicare Claims
Processing Manual states that if a
Medicare beneficiary changes from a
different pay source to Medicare FFS, a
new start of care OASIS assessment
must be completed that reflects a start
of care date equal to the start of the
beneficiary’s change to Medicare FFS.
The manual allows for this OASIS
completion flexibility in targeted
situations, to meet both Medicare billing
and eligibility rules. In these cases, the
OASIS which was completed to satisfy
the Medicare billing and eligibility
requirement could have a completion
date which is later than 5 days after the
start of care date. We believe a late faceto-face encounter is another of these
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targeted situations which justifies
OASIS completion flexibility.
Specifically, where a face-to-face
encounter did not occur within the 90
days prior to the start of care or within
30 days after the start of care, a provider
may complete another OASIS with a
start of care date equal to the date when
all Medicare eligibility is met. However,
Medicare will not pay for services
provided before the date of eligibility.
Comment: Some commenters
suggested that, if a face-to-face
encounter does not occur within 30
days of the start of care, CMS should
shift the burden of responsibility away
from the HHA for financial loss and
include physician communication
requirements as a component of the
CMS initiatives associated with the
transition of care. Commenters
suggested that the financial burden of
the face-to-face documentation alone
has significantly added to HHAs’
operating costs. Other commenters
stated the face-to-face requirement
presents such an administrative burden
that HHAs have had to add full-time
staff to track the documentation
requirements.
Response: We thank the commenters
for their comments but these comments
are outside the scope of this rule.
However, we would like to remind
commenters that we do not have the
statutory authority to exempt HHAs
from responsibility for the face-to-face
encounter requirement, as the
Affordable Care Act mandates that it is
a condition for payment.
Comment: Some commenters
requested that, due to difficulties
securing documentation and physician
refusal to write a narrative documenting
why the patient needs skilled services
and why the patient is homebound, the
face-to-face documentation requirement
should be limited to the statements that
the patient needs skilled services and is
homebound, and that the primary
reason for home health services was
addressed in the encounter,
accompanied by the physician’s
signature and date. Another commenter
suggested that CMS allow NPPs to
document and sign the face-to-face
documentation. Some commenters
asked CMS to allow the narrative on a
patient’s plan of care to satisfy the
documentation requirement. Other
commenters suggested that CMS require
a universal format of documentation to
prevent Medicare contractor payment
denials. Commenters requested that the
face-to-face documentation be reduced
to a check box on the plan of care or the
Form 485. One commenter suggested
that a separate, single certification form
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be used for patients referred from the
hospital to home care.
Response: We thank the commenters
for their comments but these comments
are outside the scope of this rule.
However, we will briefly respond to the
commenters’ questions to ensure that
commenters clearly understand the law
and the policy. We would like to remind
commenters that the law requires the
certifying physician to document that
the physician or an allowed NPP has
had a face-to-face encounter with the
patient. As such, a change in the statute
would be required to allow an NPP to
document the encounter. In response to
the commenters who suggested that a
standard form which contains
checkboxes should be allowed to satisfy
the documentation requirement and the
commenter who asked CMS to allow the
physician to simply sign a standard
statement that the patient needs skilled
services and is homebound, in our view,
these suggestions would not satisfy the
statutory requirement that the certifying
physician document the encounter
itself. We have reviewed forms which
contained generic questions with
checkboxes for the physician to simply
check off and sign. We believe that such
a form would not satisfy the
documentation mandate in the law.
Similarly, we believe a form that
contains a pre-printed statement that the
patient is homebound and needs skilled
services which the physician would
sign, as one commenter suggested,
would also not meet the statutory
requirement. Further, documentation
which was drafted by another
commenter which the physician would
sign also would not meet the
requirement. In using the words
‘‘document the encounter’’ in the statute
instead of ‘‘attest to the encounter,’’ we
believe that the Congress intended the
certifying physician to include factual
information about the patient’s
condition as seen during the encounter
which would support the physician’s
certification of the patient’s eligibility
(homebound status and the need for
skilled services).
We have provided certifying
physicians the flexibility to generate the
documentation from their electronic
medical record entries concerning the
patient. The physician’s own medical
record entries would contain the factual
information about the patient’s
condition as seen during the encounter.
We also allow the physician’s support
staff to extract the documentation from
the physician’s medical record entries
for the physician’s signature. We accept
documentation which was generated or
extracted from a physician’s medical
record, assuming it contains all the
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required content, regardless of what
format it is in, even when that generated
format contains checkboxes.
Additionally, as we describe in more
detail later in this section, if an allowed
practitioner other than the certifying
physician performs the encounter, the
certifying physician may incorporate the
practitioner’s communication regarding
the patient’s clinical condition as part of
the certifying physician’s
documentation.
In response to the commenter who
requested that the physician’s narrative
on the plan of care satisfy the
documentation requirement, we note
that this would be acceptable in certain
cases. As described above, we do not
mandate that the documentation be in
any particular format. We do require
that the content requirements be met.
We would expect that a physician’s
orders referring the patient to home
health could satisfy some or all of the
documentation content requirements.
However, as stated above, we believe
the law would not allow an HHA to
draft the documentation for the
physician to sign. CMS is aware that
often HHAs will draft the plan of care
narrative for the physician to sign. In
these cases, the plan of care narrative
would not satisfy the documentation
requirement because the narrative is
drafted by the HHA instead of the
physician, and is based on the HHA’s
assessment of the patient, not the
physician’s encounter.
In response to the commenters who
requested that CMS require a universal
format for the documentation, we note
that since 2002, we have not mandated
the use of a specific form when
physicians certify a patient’s eligibility
for Medicare’s home health benefit.
Instead, we allow physicians and HHAs
to meet the certification documentation
requirements in a way that utilizes their
respective practice documentation
system, and gives providers flexibility to
use electronic medical record software.
Comment: We received comments
that the face-to-face requirement
presents an unnecessary barrier to care
for all patients, but especially for bed
bound patients who need ambulance
transportation to physician
appointments. Also, a commenter
suggested that the Affordable Care Act
be revised to expand the definition of
telehealth services to allow individuals
to meet the face-to-face requirements
through technologies available in their
homes. A commenter suggested that
telehealth could be used to satisfy the
face-to-face encounter, and asked CMS
to revise its regulations so that the
patient’s home could be a telehealth
originating site. Further, some
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commenters requested that CMS
immediately halt the face-to-face
requirement. Some commenters
requested that the requirement be
revised to establish exemptions to the
face-to-face encounter for post-acute
home health patients or those patients
with barriers to physician care. We also
received comments asking CMS to
expand the current face-to-face
timeframes.
Response: We thank the commenters
for their input but these comments are
outside the scope of this rule. However,
we will take the opportunity to briefly
respond to the commenters to ensure
better understanding of the statute. We
would like to remind commenters that
the face-to-face requirement is only
required for initial certifications, not
recertifications. In response to the
commenters who asked us to halt or
change the provision, we would not
have the authority to do so. In response
to the commenter who asked CMS to
revise its regulation to add the home as
a telehealth originating site, we note
that section 1834(m) of the Act limits
those sites where a telehealth service
can be provided. Regarding the
timeframe of the face-to-face
requirement, we believe the current
timeframe of 90 days prior to the start
of care and 30 days after the start of care
is appropriate and best meets the
program integrity and quality goals
associated with the provision.
Comment: Some commenters
requested the elimination of the face-toface requirement for patients admitted
to home health within certain
timeframes of hospital discharges.
Commenters stated that patients who
are discharged from a hospital have
clearly seen a physician and discharge
planning team who determined home
health to be an appropriate postdischarge follow-up. Commenters
believed that the intent of this
provision, which is a program integrity
provision, is to ensure that the patient
recently saw his or her physician.
Response: We thank the commenters
for their suggestions. However, this
exemption would violate the statutory
mandate. We do not have the authority
to exempt post-acute home health
admissions from the face-to-face
encounter requirement.
Comment: We received comments
questioning whether or not the acute or
post-acute physician will still be
allowed to initiate the plan of care,
perform and document the face-to-face
encounter, certify the patient’s home
health eligibility, and ‘‘hand off’’ the
plan of care to the patient’s community
physician. Commenters were confused
by the proposed regulation text language
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at § 424.22(a)(1)(v)(A) stating that the
acute or post-acute physician ‘‘must’’
inform the certifying physician of the
face-to-face encounter clinical findings.
As the proposed regulatory text reads,
commenters believed the use of ‘‘must’’
indicated that an attending acute or
post-acute physician must inform the
certifying physician of the findings from
the face-to-face encounter rather than
being able to perform the encounter,
document the encounter and certify
home health eligibility himself or
herself.
Response: We thank the commenters
for their comments. The physician who
cared for the patient in an acute or postacute facility prior to the patient’s home
health admission can perform and
document the face-to-face encounter
and certify the patient’s home health
eligibility, initiate the plan of care, and
hand off the plan of care to the patient’s
community physician. These physicians
often complete the certification of home
health eligibility for a patient, which
now includes the face-to-face
documentation. In this rule, we simply
proposed additional flexibility for the
physician who cared for the patient in
an acute or post-acute facility to inform
the certifying physician of the patient’s
need for skilled services and
homebound status in the same manner
that an NPP can. To address any
confusion that may exist, we will revise
§ 424.22(a)(1)(v)(A) to only require the
physician who cared for the patient in
the acute or post-acute facility to inform
the certifying physician when the
physician who cared for the patient in
the acute or post-acute facility is not the
certifying physician.
Comment: A commenter suggested
that in an acute or post-acute facility, a
patient is often seen by many physicians
and any of those physicians should be
able to inform the certifying physician.
Therefore, the commenter suggested that
CMS consider removing the word
‘‘attending’’ from the regulation text and
use the term ‘‘acute’’ or ‘‘post-acute’’
physician instead. The commenter
described how a patient’s home health
initiation and supervision may be most
appropriately managed by a specialist,
primary care physician, hospitalist, or
surgeon, irrespective of who is the
attending physician.
Response: We found the comment
compelling and will remove ‘‘attending’’
from the regulatory text. Instead, we
will describe that a physician who cared
for the patient in an acute or post-acute
facility and who has privileges at the
facility can inform the certifying
physician regarding the patient’s
clinical condition. The certifying
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physician can use that information to
document the face-to-face encounter.
Comment: Many commenters
disagreed with the proposed rule to
require a face-to-face encounter and
supporting documentation for Medicaid
patients.
Response: These comments are
outside the scope of this rule. The
Medicaid face-to-face provision was
proposed in the Face-to-Face
Requirements for Home Health Services;
Policy Changes and Clarifications
Related to Home Health proposed rule
published in the July 12, 2011 Federal
Register (76 FR 41032).
Comment: We received comments
supporting the added flexibility
associated with the face-to-face
encounter provision, given that
physicians who care for the patient in
an acute or post-acute facility are the
most familiar with the patient’s
condition upon discharge, yet may not
want the burden of designing a plan of
care and certifying eligibility, and
should be allowed to inform the
physician as an NPP.
Response: We thank the commenters
for their support.
Comment: We received a comment
asking for CMS to include language in
the final rule that clearly outlines that
the HHA may assist with the
communication between the physician
who cared for the patient in an acute or
post-acute facility, who performed the
face-to-face encounter, and the
certifying physician. We received
comments asking CMS to clarify
whether verbal and/or written or typed
documentation qualifies as
communication between the physician
who cared for the patient in an acute or
post-acute facility and the patient’s
certifying physician. Other commenters
questioned whether the documentation
of the face-to-face encounter must be in
the HHA record.
Response: We thank the commenters
for their comments. The HHA may
facilitate communication between the
physician who cared for the patient in
an acute or post-acute facility and the
patient’s community physician. We note
that this would be considered a part of
the patient’s care coordination.
However, we reiterate that the HHA
cannot draft the encounter
documentation for the certifying
physician to sign. Similarly, we note
that the information flow/
communications from the allowed NPP
or physician who cared for the patient
in an acute or post-acute facility to the
certifying physician concerning the
patient’s condition cannot be altered by
the HHA. For example, in most cases we
would expect the patient’s discharge
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plan to contain the information, from
the allowed NPP or the physician caring
for the patient in the acute or post-acute
facility, needed by the certifying
physician to document the encounter.
We would expect that both the HHA
and the patient’s community physician
(certifying physician) would receive the
patient’s discharge plan. When this does
not occur, or it does not occur in a
timely manner, the HHA can send a
copy of the discharge plan to the
certifying physician to expedite the
information exchange. However, it
would be unacceptable for the HHA to
fill in missing clinical information
concerning the patient, based on the
HHA’s assessment of the patient. The
documentation must reflect the
physician’s (or NPP’s) experience with
the patient, not the HHA’s. Regarding
the commenters who asked for guidance
on what sort of communication CMS
expects would occur between the
physician who cared for the patient in
the acute or post-acute facility and the
certifying physician, we do not require
a specific communication protocol to
occur between an NPP, or a physician
who cared for the patient in an acute or
post-acute facility, and the certifying
physician. We intend for the
communication between an NPP, or a
physician who cared for the patient in
an acute or post-acute facility, and the
certifying physician to occur in a way
that works best for the two health care
professionals involved. We would
expect that often the patient’s discharge
summary, even if not in the form of a
discharge plan, with the information
flow/communications from the allowed
NPP or the physician who cared for the
patient in the acute or post-acute
facility, can serve as the face-to-face
documentation so long as it includes the
signature of the certifying physician and
the required content. To address the
commenter who asked whether or not
the HHA needs to have the face-to-face
encounter documentation on record, we
remind the commenter that the face-toface encounter documentation is part of
the certification of eligibility and as
such must be in the HHA’s records.
Comment: Commenters stated that the
face-to-face documentation is
redundant, given the documentation of
a patient’s needs on the discharge plan
and/or plan of care. Commenters
questioned whether a certifying
physician would need to rewrite the
documentation of the face-to-face
encounter rather than just review the
information documented by the
physician who cared for the patient in
an acute or post-acute facility regarding
the encounter. Commenters also
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expressed concern that in the case of
hospital support staff assisting in the
documentation, the level of detail on a
hospital patient’s post-acute needs that
is typically available in standard
hospital medical record notes is not
adequate to satisfy the face-to-face
documentation requirements.
Furthermore, commenters suggested
that hospital-based physicians typically
lack information on the criteria related
to Medicare’s homebound status and are
not trained to make judgments on
homebound status following discharge.
Commenters suggested that the
proposed additional flexibility needs to
be integrated with existing discharge
processes. Other commenters suggested
that once the patient is discharged from
the hospital, the hospitalist no longer
feels accountable for the patient.
Commenters were concerned that
patients may be denied access to home
health services in cases where
collaboration between the physician
who cared for the patient in an acute or
post-acute facility and the certifying
physician is not timely, because the
certifying physician might be unable to
obtain the needed documentation
information. We also received
comments that this added flexibility
will add to an already strained
relationship between the acute or postacute physician and the community
physician since they will be doing each
other’s work. Commenters suggested
that the proposed flexibility will add a
new burden to community physicians
since they will not be paid for certifying
the patient’s eligibility for home health.
Other commenters asked that CMS
allow for community physicians to bill
G0180 if the patient’s physician who
cared for the patient in an acute or postacute facility is performing the face-toface encounter and certifying home
health eligibility.
Response: We thank the commenters
for their comments. Regarding the
commenter who asked whether the
certifying physician must retype the
acute or post-acute physician’s
documentation on the certification form,
we note that we allow for the face-toface documentation to be part of the
certification or an addendum to it.
Therefore, it would be acceptable for the
certifying physician (or his or her
support staff) to attach a communication
(such as a discharge summary) from an
allowed NPP, or a physician who cared
for the patient in an acute or post-acute
facility, who performed the encounter to
the certification as an addendum. If, for
example, a discharge summary from a
physician who cared for the patient in
an acute or post-acute facility contains
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all of the needed documentation
content, the certifying physician would
simply need to sign and date the
discharge summary and ensure it is
attached as an addendum to the
certification.
In response to the commenter who
was concerned that acute physicians
may not communicate a patient’s
homebound status to the certifying
physician, we note that this additional
flexibility does not change the
documentation content requirements or
change the requirement that the
certifying physician must document the
encounter. If the information sent to the
certifying physician does not explicitly
contain statements which describe why
the patient requires skilled services and
how the patient’s condition supports
homebound status, we would expect it
to contain enough information regarding
the patient’s clinical condition for the
certifying physician (or his or her
support staff) to complete the
documentation. A typical discharge
summary would contain enough clinical
information to enable the certifying
physician to assess homebound status,
for example. Where the information
lacks the clinical detail which would
enable the certifying physician to
complete the documentation, we would
expect the certifying physician or the
physician’s support staff to obtain the
additional information from the
physician who cared for the patient in
an acute or post-acute facility, discharge
planner, or the acute or post-acute
physician’s support staff. We would
expect that most of the time, a phone
call or electronic mail exchange
between the physicians’ support staffs
would address gaps in information. In
response to the commenters who were
concerned that the information sharing
might not occur in a timely manner or
the information exchange would be
burdensome to the community
physician and may strain the
community physician and acute or postacute physician relationship, we note
that we believe that this information
sharing between the physician who
cared for the patient in an acute or postacute facility and the community
physician who assumes care for the
patient upon discharge (certifying
physician) for the purposes of
documenting the face-to-face encounter,
is consistent with the sort of
communication which occurs when any
patient is discharged from an inpatient
setting to the community. Discharge
procedures generally require that the
discharge plan includes the patient’s
clinical condition and that the discharge
plan and supporting documentation be
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shared with the patient’s follow-up care
provider. Where the discharge plan is
not sent to the certifying physician and
instead is sent to the HHA, the HHA
would forward a copy of the discharge
plan to the certifying physician. We also
note that the physician who completes
and signs the certification of eligibility
can bill Medicare using the G0180 code.
Comment: Commenters suggested that
CMS should allow any physician to
work with another physician colleague
sharing the face-to-face encounter and
documentation responsibilities, as well
as the certification. Commenters also
asked CMS to expand the physicians
who may perform the face-to-face
encounter to include partners or
colleagues of the certifying physician or
urgent care center physicians for nonacute inpatient settings. Further, a
commenter stated that if a patient goes
to an outpatient clinic appointment and
sees an alternate physician, the alternate
physician should be allowed to perform
the encounter and inform the certifying
physician of the patient’s clinical
condition, homebound status, and need
for skilled services.
Response: We thank the commenters
for their suggestions. While we are
sensitive to the scenarios which the
commenters describe, we do not believe
we would have a strong justification to
assert that the Congress intended to
allow any physician to inform the
certifying physician and as such, we
believe we would not have the statutory
authority to allow this additional
flexibility. We note that the Medicare
home health benefit relies on the
patient’s physician to determine
eligibility for home health services. This
type of physician involvement is critical
from both a quality of care and program
integrity perspective. Prior to enactment
of the face-to-face encounter provision,
the patient’s physician often relied on
information provided by an HHA when
making decisions about patient care.
The Affordable Care Act established the
requirement for a physician face-to-face
encounter prior to certifying a patient’s
eligibility for home health services,
along with other program integrity
provisions, to address concerns
surrounding ineligible patients
receiving home health services and
concerns that physicians who had no
firsthand knowledge of the patient’s
clinical condition were certifying the
patient’s eligibility for home health.
Additionally, in the CY 2011 HH PPS
final rule, we described research which
showed fewer re-hospitalizations when
the home health patient had a recent
encounter with the physician
responsible for the home health care
plan. We also refer the commenters to
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the CY 2012 HH PPS proposed rule (76
FR 41024 through 41025), where we
described our reasons for believing that
the Congress did not intend to exclude
physicians who care for the patient in
an acute or post-acute facility from
informing the certifying physician
regarding their recent encounters with
the patient as the Congress allowed
certain NPPs to do. We described why
we believed that in adding this
flexibility, we are increasing
communication between HHAs and
physicians, why we believed that
adopting this flexibility introduced no
program integrity risks or quality
concerns and why we believed the
flexibility is consistent with the goals of
the law, including the goal of achieving
more physician involvement with the
patient when ordering home health
services. If the hospital physician is
unwilling to certify a patient’s eligibility
for home health, the hospital discharge
plan sent to the certifying physician
would contain current clinical
information regarding the patient,
enabling the certifying physician to
make determinations regarding the
patient care. However, we do not
believe that a similar strong argument
exists that the Congress intended to
allow any physician to inform the
certifying physician. As such, we would
not have the statutory authority to allow
this additional flexibility.
Comment: Commenters suggested that
CMS study transitions from hospitals to
home care to evaluate whether the faceto-face improves care coordination,
discourages home health utilization by
patients who do not qualify for
Medicare-covered home health services,
or contributes to preventing or delaying
access to medically necessary home
care. Other commenters suggested that
CMS regularly meet with the NAHC for
industry input. Commenters also
suggested that CMS has not provided
adequate education to the physician
community and should consider
initiatives such as Patient Care
Transitions and Accountable Care to
manage a more widespread effort for
physician communication. Another
commenter noted that CMS’ Web-based
‘‘Frequently Asked Questions’’ (FAQ)
for provider clarity are sporadically
updated without notice and are
seemingly ad hoc policy developments.
A commenter also suggested that CMS
date its policy guidance so that
providers know which guidance is most
recent.
Response: We thank the commenters
for their comments but these comments
are outside the scope of this rule.
However, we will continue to work with
the industry to educate providers and
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we will continue to monitor the effects
of the face-to-face requirement.
Comment: We received a comment
that a major issue with the face-to-face
requirement is that patients should have
the right to refuse a clinic visit that is
not medically necessary.
Response: We thank the commenter
for the comment but this comment is
outside the scope of this rule. We would
like to clarify, however, that the face-toface requirement is a statutory
requirement for payment. Further, we
would expect that practitioners would
typically be conducting a medically
necessary service to the patient, and this
service would also meet the face-to-face
encounter requirement. We also remind
the commenter that, to be eligible for the
Medicare home health benefit, a patient
must be under the care of a physician.
Should a patient refuse to have a faceto-face encounter with the physician
responsible for care, we would question
whether the patient was legitimately
under the care of the physician.
As a result of the comments, we will
finalize the proposed implementation
approach with the following revisions:
• We will remove ‘‘attending’’ from
the regulatory language and add
additional language at § 424.22(a)(1)(v)
to describe physicians who qualify as
the physician who cared for the patient
in an acute or post-acute facility.
• We will revise § 424.22(a)(1)(v) so
that the certifying physician’s
documentation of the face-to-face
encounter clearly states that either the
certifying physician himself or herself,
the allowed NPP, or, for patients
admitted to home health immediately
after an acute or post-acute stay, a
physician who cared for the patient in
an acute or post-acute facility, has had
a face-to-face encounter with the
patient.
• We will add clarifying language to
§ 424.22(a)(1)(v)(A) to address scenarios
where the physician who cared for the
patient in an acute or post-acute facility
performing the face-to-face encounter is
also the certifying physician. We will
revise § 424.22(a)(1)(v)(A) to describe
that the NPP or the physician who cared
for the patient in an acute or post-acute
facility performing the face-to-face
encounter must communicate the
clinical findings of the encounter to the
certifying physician, unless the
physician who cared for the patient in
an acute or post-acute facility is also the
certifying physician.
We will finalize the above face-to-face
encounter provisions for starts of care
beginning January 1, 2012 and later.
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G. Payment Reform: Home Health Study
and Report
As we noted in our proposed rule (76
FR 41025), section 3131(d) of the
Affordable Care Act requires the
Secretary to conduct a study on HHA
costs of providing access to care to lowincome Medicare beneficiaries or
beneficiaries in medically underserved
areas, and in treating beneficiaries with
varying levels of severity of illness
(specifically, patients with ‘‘high levels
of severity of illness’’). In our proposed
rule, we provided a completed
description of the varied areas for which
we have the authority to explore as part
of our payment reform activities (76 FR
41025 through 41026). We continue to
plan for the study to evaluate the
current HH PPS and develop payment
reform options which might minimize
vulnerabilities and more accurately
align payment with patient resource
costs to prepare the Report to Congress
regarding the study that we must deliver
no later than March 1, 2014.
In our proposed rule, we also
highlighted multiple activities that
included those associated with the
development of a study analytic
approach (76 FR 41025), as well as our
progress to date. We have held a second
technical evaluation panel (TEP) since
publishing our proposed rule and plan
to publish the TEP proceedings on the
CMS Web Site in the coming weeks.
As we announced in the proposed
rule, we anticipate awarding another
contract that will build upon the
foundation established. Specifically,
this contract will include refinement of
the analytic plan performance of the
detailed analysis, and ultimately
recommendations for payment model
options. We will provide updates
regarding our progress in future
rulemaking and open door forums.
The following is a summary of the
comments we received regarding this
study and report.
Comment: We received a number of
comments expressing appreciation for
the status report on our progress and
future plans for the payment reform
study. Commenters’ specific suggestions
for topics to incorporate into the study
design and plan included the following:
analysis and revisions for the HH PPS
to more appropriately capture and align
resource costs to payment among all the
different service groups; research on the
underutilization of therapy services in
rural and underserved areas; and ways
of improving physician interaction with
home health patients separate from the
face-to-face requirement. A few
commenters expressed particular
concern that the study explore the
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hypothesis that a subset of HHAs,
concentrated in the non-profit sector,
have become safety net providers,
continuing to offer access to those
vulnerable patients that can be
challenging and costly to serve, relative
to HH PPS payments.
Response: We thank commenters for
their expressed support of our efforts to
date. We will attempt to include as
many of the recommended areas of
study as part of the final study design
as possible, including those suggestions
related to the outlier policy as we noted
above in that section (see II.C. Outlier
Policy). We will continue to solicit
input from stakeholders as we develop
the final study plan and provide
periodic updates on our progress
through multiple avenues such as the
CMS Web Site and Open Door Forums.
Finally, we will continue to provide
periodic updates on our progress.
H. International Classification of
Diseases 10th Edition (ICD–10) Coding
In the CY 2012 HH PPS proposed
rule, we discussed our preliminary
plans to transition to the use of ICD–10–
CM codes in October 2013. Based upon
experience gained in our review of the
ICD–10–CM codes we are striving to
have the draft code lists out in the
spring of 2012 versus October 2011. In
addition, based upon comments
received on our transition plans we are
aiming to get the draft ICD–10–CM
HHRG out on or before April 2013
versus the proposed July 2013 target
contained in the proposed rule.
Effective March 17, 2009, we finalized
our policies for the Health Insurance
and Portability Accountability Act
Administrative Simplification:
Modifications to the Medical Data Code
Set Standards to Adopt ICD–10–CM and
ICD–10–PCS (74 FR 3328). The March
17, 2009 final rule modifies the standard
medical data code sets for coding
diagnoses by adopting the International
Classification of Disease, 10th Revision,
Clinical Modification (ICD–10–CM) for
diagnosis coding, including the Official
ICD–10–CM Guidelines for Coding and
Reporting. These new codes replace the
International Classification of Diseases,
9th Revision, Clinical Modification,
Volumes 1 and 2, including the Official
ICD–9–CM Guidelines for Coding and
Reporting. Entities are required to have
implemented the adopted policies by
October 1, 2013. On October 1, 2013, the
ICD–9 code sets used to report medical
diagnoses will be replaced by the ICD–
10 code sets. In preparation for the
transition to use of ICD–10–CM codes,
CMS is currently undergoing extensive
efforts to update the Medicare payment
systems.
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One of the key activities identified
under this transition to ICD–10–CM
codes is the need for CMS to review and
update the payment systems which
currently use ICD–9–CM codes. Home
health agencies report ICD–9–CM codes
for their patients through OASIS–C. The
HHAs enter data (including the ICD–9–
CM codes) collected from their patients’
OASIS assessments into a data
collection software tool. For Medicare
patients, the data collection software
invokes HH PPS Grouper software to
assign a Health Insurance Prospective
Payment System (HIPPS) code on the
Medicare HH PPS bill, ultimately
enabling CMS’ claims processing system
to reimburse the HHA for services
provided to patients receiving
Medicare’s home health benefit. The HH
PPS Grouper currently utilizes ICD–9–
CM codes to calculate the HIPPS code.
Effective October 1, 2013, the HH PPS
Grouper will utilize the ICD–10–CM
codes to calculate the HIPPS code.
We have been working with the
HHRG maintenance contractor to revise
the HHRG to accommodate ICD–10–CM
codes, as well as identify the
appropriate ICD–10–CM codes to be
included in each diagnosis group within
the HHRG. In addition, we have also
contracted with Abt Associates to assist
with resolving the transition of certain
codes that may be mapped to more than
one diagnosis code under ICD–10–CM.
To assist HHAs and their vendors in
preparing for this transition, the Agency
is committed to providing information
for transitioning the HHRG to
accommodate ICD–10–CM codes
effective October 1, 2013. The Agency
will update providers and vendors
through the ICD–10–CM National
Provider outreach calls on our
conversion plans. Additional detail
concerning teleconference registration is
available at https://www.cms.gov/ICD10/
Tel10/list.asp?intNumPerPage=20&
submit=Go. Further details pertaining to
our plans will be announced through
the National Provider outreach calls.
We will provide a draft list of ICD–
10–CM codes for the HHRG through the
ICD–10 section of the Web site. Specific
dates regarding our roll-out plans will
be announced through the National
Provider outreach calls. The preliminary
plans include publishing the draft list of
ICD–10–CM codes for the HHRG by the
spring of 2012, for industry review, as
well as describing our testing approach
for the HHRG to accommodate and
process ICD–10–CM codes through the
ICD–10 section of the CMS Web site. In
reviewing the list of proposed ICD–10–
CM codes we have identified that more
time is needed to complete our review
and develop a draft lists for industry
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review. However, the release of the draft
list in early 2012 permits ample time for
consideration of any comments received
to be taken into consideration during
our development of the CY 2013 HH
PPS proposed rule. The objective of the
ICD–10–CM HHRG testing is to verify
that all properly formatted input data
containing ICD–10–CM diagnosis codes
will produce the expected output. The
HHRG maintenance contractor will
convert current OASIS–C records to
their translated ICD–10–CM codes to
determine that appropriate outputs are
achieved. CMS and the HHRG
maintenance contractor will review the
results of the testing to determine if
additional testing is required.
In addition, in April 2013, we plan to
share the ICD–10–CM HHRG software
with those vendors and HHAs that have
agreed to serve as Beta Testers and get
their feedback regarding the software’s
functionality. We may expand the
release of this draft version by releasing
the draft ICD–10 HHRG to all interested
parties. We are pursuing a wider release
of the draft HHRG based upon
comments received requesting that the
agency release the draft HHRG to all
interested parties. Issues and concerns
noted will be reviewed and addressed
by the HHRG Maintenance Contractor in
consultation with CMS.
We plan to release the final version of
the ICD–10–CM HHRG in July 2013 (or
earlier if feasible) to permit HHAs and
their vendors sufficient time to install
the software. We will strive to release
the final version of the ICD–10–CM
HHRG as early as possible based upon
comments received from the industry
requesting an earlier release date.
The following is summary of the
comments we received regarding the
International Classification of Diseases
10th Edition (ICD–10) Coding.
Comment: One commenter suggested
that CMS should consider an earlier
release of the HHRG software which was
proposed to be released to Beta Testers
in April 2013. In addition, the
commenter suggested that CMS should
publish and make available the draft
HHRG available to the entire industry
for their review versus the current
approach of soliciting input from
vendors that have volunteered to review
our HHRG.
Response: We appreciate the feedback
provided and are committed to
developing an earlier release of the
HHRG if possible and will take into
consideration the suggestion concerning
industry wide release of the draft
October 2013 ICD–10–CM HHRG. Final
details concerning our implementation
plans will be released through the
scheduled Provider Outreach
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teleconferences and posted on the ICD–
10 section of the CMS Web site.
Comment: Several commenters’
suggested that CMS has committed to
publishing this information in a format
that crosswalks the ICD–9–CM to ICD–
10 codes.
Response: We have not reached any
decisions regarding the format of the
code lists. Additional information
concerning the format will be provided
through the ICD–10–CM provider
outreach teleconferences and posted on
the ICD–10 section of the CMS Web site.
Comment: Several commenter’s noted
their appreciation of our plans to release
the proposed lists of ICD–10–CM codes
as early as October 1, 2011.
Response: Based upon our current
progress in reviewing the code lists
developed by our support contracts and
resolving potential conflicts, we will be
revising the language in our final
regulation. The regulation will reflect
that the proposed lists of ICD–10–CM
codes may be made available on the
ICD–10 section of the CMS Web site in
the spring of 2012.
As a result of the comments, we have
made modifications to the language to
indicate that we will take into
consideration a commenters’ suggestion
that all interested parties should be
included in the review of the draft ICD–
10–CM HHRG. A final decision will be
announced in a future ICD–10 Provider
Outreach teleconference and posted on
the ICD–10 section of the CMS Web site.
In addition, the agency will consider the
suggestion surrounding the format of the
ICD–10 translation list and a final
decision will be announced as outlined
earlier in this section. Lastly, based
upon our current experience in
reviewing the ICD–10–CM codes we
believe that the draft code list will not
be made available on the ICD–10 section
of the CMS Web site until early 2012.
I. Clarification To Benefit Policy Manual
Language on ‘‘Confined to the Home’’
Definition
To address the recommended changes
of the Office of Inspector General (OIG)
to the home health benefit policy
manual, CMS proposed to clarify its
‘‘confined to the home’’ definition to
more accurately reflect the definition as
articulated in the Act. We proposed to
move the requirements that the patient
require physical assistance to leave the
home or if leaving home is medically
contraindicated, and that the condition
of the patient should be such that there
exists a normal inability to leave home
and, consequently, leaving the home
would require a considerable and taxing
effort to the beginning of section 30.1.1
of the Chapter 7 Home Health Benefit
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Policy Manual as necessary
requirements to be considered
‘‘confined to the home.’’ Further, we
proposed to remove vague terms from
section 30.1.1, such as ‘‘generally
speaking,’’ to ensure clear and specific
requirements for the definition. These
changes present the requirements first
and more closely align our policy
manual with the Act to prevent
confusion and promote a clearer
enforcement of the statute and more
definitive guidance to HHAs for
compliance. As such, we proposed that
section 30.1.1 begin with the following,
revised language:
‘‘30.1.1—Patient Confined to the Home
For a patient to be eligible to receive
covered home health services under
both Part A and Part B, the statute
requires that a physician certify in all
cases that the patient is confined to his/
her home. For purposes of the statute,
an individual shall be considered
‘‘confined to the home’’ (that is,
homebound) if the following exist:
(1) The individual has a condition
due to an illness or injury that restricts
his or her ability to leave their place of
residence except with: the aid of
supportive devices such as crutches,
canes, wheelchairs, and walkers; the use
of special transportation; or the
assistance of another person; or if
leaving home is medically
contraindicated.
(2) The individual does not have to be
bedridden to be considered ‘‘confined to
the home’’. However, the condition of
the patient should be such that there
exists a normal inability to leave home
and, consequently, leaving home would
require a considerable and taxing effort.
If the patient does in fact leave the
home, the patient may nevertheless be
considered homebound if the absences
from the home are infrequent or for
periods of relatively short duration, or
are attributable to the need to receive
health care treatment. Absences
attributable to the need to receive health
care treatment include, but are not
limited to:
• Attendance at adult day centers,
licensed or certified by a State or
accredited to furnish adult day-care
services in the State, to receive
therapeutic, psychological, or medical
treatment;
• Ongoing receipt of outpatient
kidney dialysis; or
• The receipt of outpatient
chemotherapy or radiation therapy.
Any absence of an individual from the
home attributable to the need to receive
health care treatment, including regular
absences for the purpose of participating
in therapeutic, psychosocial, or medical
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treatment in an adult day-care program
that is licensed or certified by a State,
or accredited to furnish adult day-care
services in a State, shall not disqualify
an individual from being considered to
be confined to his home. Any other
absence of an individual from the home
shall not so disqualify an individual if
the absence is of an infrequent or of
relatively short duration. For purposes
of the preceding sentence, any absence
for the purpose of attending a religious
service shall be deemed to be an
absence of infrequent or short duration.
It is expected that in most instances,
absences from the home that occur will
be for the purpose of receiving health
care treatment. However, occasional
absences from the home for nonmedical
purposes, for example, an occasional
trip to the barber, a walk around the
block or a drive, attendance at a family
reunion, funeral, graduation, or other
infrequent or unique event would not
necessitate a finding that the patient is
not homebound if the absences are
undertaken on an infrequent basis or are
of relatively short duration and do not
indicate that the patient has the capacity
to obtain the health care provided
outside rather than in the home.
Some examples of homebound
patients that illustrate the factors used
to determine whether a homebound
condition exists would be: * * *’’
The following is a summary of the
comments we received regarding
clarification to benefit policy manual
language on ‘‘confined to the home’’
definition.
Comment: Commenters were not clear
on whether the individual needs to meet
both of the requirements of (1) needing
physical assistance to leave the home or
if leaving home is medically
contraindicated and (2) the condition of
the patient being such that there exists
a normal inability to leave home and,
consequently, leaving the home would
require a considerable and taxing effort;
or if meeting either one of the
requirements is acceptable. A
commenter recommended adding ‘‘and’’
at the end of statement ‘‘1’’ to clarify.
Response: As the statute is written,
statement ‘‘1’’ must first be met and
then statement ‘‘2’’ must also be true
about a patient to be considered
homebound. We found this comment
compelling and will add ‘‘and’’ to the
end of statement ‘‘1’’ to better match the
manual guidance to the statutory
language and to more clearly distinguish
the requirements. Therefore, it will be
clear that, to be considered ‘‘confined to
the home’’ a patient must first meet one
of the requirements within statement
‘‘1’’ (if the patient requires physical
assistance to leave the home or if
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leaving home is medically
contraindicated), and the individual
must then also meet both of the
requirements of statement ‘‘2’’ (the
condition of the patient should be such
that there exists a normal inability to
leave home and, consequently, leaving
the home would require a considerable
and taxing effort).
Comment: Several commenters
suggested that CMS add clarifying
language differentiating absences from
the home for entertainment versus those
required to preserve independent living
to prevent premature disqualification of
otherwise eligible patients. Commenters
also stated that the vagueness of the
definition forces HHAs to submit postpayment demand bills to Medicare for
Medicare/Medicaid dually eligible
patients, even when the patient may not
be confined to the home, causing
administrative burden and waste.
Further, commenters suggested that
CMS provide guidance about this
provision to State Medicaid offices to
prevent inconsistent application and
better control the administrative
burdens. Still other commenters
recommended removing the ‘‘confined
to the home’’ definition to align with
Medicaid. A commenter stated that the
statement about not being bedridden is
confusing.
Response: We believe the comments
are out of the scope of the proposed
rule. We only proposed to align the
manual language with the statutory
language at this time. Further
clarification of the definition would
need to be proposed through the
rulemaking process. However, we will
continue to work with the industry to
better inform and educate about the
requirements of the benefit.
Comment: We received comments
suggesting that CMS leave the current
definition in place so as to prevent the
definition from becoming narrower and
arbitrary. Further, commenters stated
that the need for aid of a supportive
device, the use of special transportation
or the assistance of another person does
not necessarily entail a normal inability
to leave home and requiring a
considerable and taxing effort to do so,
which could lead to further
misapplication of the benefit.
Response: We proposed to align the
manual language to better mirror the
statutory language with regard to the
‘‘confined to the home’’ definition,
thereby intending to make the definition
clearer and more consistent. However,
we do not believe that the proposed
clarification makes the homebound
definition narrower and more arbitrary.
Rather, the clarification moves the two
requirements (one of which must be
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met) to the beginning of the manual
guidance before further description of
examples and exceptions.
Comment: We received support for
the proposed clarification, maintaining
that the clarification better addresses
providers’ concerns about how patients’
occasional absences from the home
affect their homebound status and
eligibility for the home health benefit.
Response: We thank the commenters
for their support.
As a result of the comments, we will
finalize the proposed clarification of the
manual language with the following
exceptions: We are adding ‘‘and’’ to the
end of statement ‘‘1’’ of the two
requirements for homebound status to
more clearly convey that to be
considered ‘‘confined to the home,’’ the
patient first must meet one of the
following two requirements. The patient
must either need physical assistance
leaving the home or leaving is medically
contraindicated. If the patient meets one
of those requirements, the patient must
then also meet the two additional
requirements as follows: There must
also be a normal inability to leave home
and leaving the home must require a
considerable and taxing effort.
III. Collection of Information
Requirements
This document does not impose any
new information collection and
recordkeeping requirements. The
information collection requirements
discussed in proposed § 424.22 are
currently approved under OMB control
number 0938–1083. The information
collection requirements discussed in
proposed § 484.250, the OASIS–C and
Home Health Care CAHPS, are currently
approved under OMB control numbers
0938–0760 and 0938–1066, respectively.
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. Chapter 35).
IV. Regulatory Impact Analysis
A. Introduction
We have examined the impact of this
rule as required by Executive Order
12866 on Regulatory Planning and
Review (September 30, 1993), Executive
Order 13563 on Improving Regulation
and Regulatory Review (January 18,
2011), the Regulatory Flexibility Act
(RFA) (September 19, 1980, Pub. L. 96–
354), section 1102(b) of the Act, section
202 of the Unfunded Mandates Reform
Act of 1995 (March 22, 1995; Pub. L.
104–4), and the Congressional Review
Act (5 U.S.C. 804(2)).
Executive Orders 12866 and 13563
direct agencies to assess all costs and
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benefits of available regulatory
alternatives and, if regulation is
necessary, to select regulatory
approaches that maximize net benefits
(including potential economic,
environmental, public health and safety
effects, distributive impacts, and
equity). Executive Order 13563
emphasizes the importance of
quantifying both costs and benefits, of
reducing costs, of harmonizing rules,
and of promoting flexibility. A
regulatory impact analysis (RIA) must
be prepared for major rules with
economically significant effects ($100
million or more in any 1 year). This
final rule has been designated an
‘‘economically significant’’ rule under
section 3(f)(1) of Executive Order 12866
and a major rule under the
Congressional Review Act. Accordingly,
the rule has been reviewed by the Office
of Management and Budget.
B. Statement of Need
This final rule adheres to the
following statutory requirements.
Section 4603(a) of the BBA mandated
the development of a HH PPS for all
Medicare-covered HH services provided
under a plan of care (POC) that were
paid on a reasonable cost basis by
adding section 1895 of the Act, entitled
‘‘Prospective Payment For Home Health
Services’’. Section 1895(b)(1) of the Act
requires the Secretary to establish a HH
PPS for all costs of HH services paid
under Medicare. In addition, section
1895(b)(3)(A) of the Act requires (1) the
computation of a standard prospective
payment amount include all costs for
HH services covered and paid for on a
reasonable cost basis and that such
amounts be initially based on the most
recent audited CR data available to the
Secretary, and (2) the standardized
prospective payment amount be
adjusted to account for the effects of
case-mix and wage levels among HHAs.
Section 1895(b)(3)(B) of the Act
addresses the annual update to the
standard prospective payment amounts
by the HH applicable percentage
increase. Section 1895(b)(4) of the Act
governs the payment computation.
Sections 1895(b)(4)(A)(i) and
(b)(4)(A)(ii) of the Act require the
standard prospective payment amount
to be adjusted for case-mix and
geographic differences in wage levels.
Section 1895(b)(4)(B) of the Act requires
the establishment of appropriate casemix adjustment factors for significant
variation in costs among different units
of services. Lastly, section 1895(b)(4)(C)
of the Act requires the establishment of
wage adjustment factors that reflect the
relative level of wages, and wage-related
costs applicable to HH services
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furnished in a geographic area
compared to the applicable national
average level.
Section 1895(b)(5) of the Act, as
amended by section 3131 of the
Affordable Care Act, gives the Secretary
the option to make changes to the
payment amount otherwise paid in the
case of outliers because of unusual
variations in the type or amount of
medically necessary care. Section
1895(b)(3)(B)(v) of the Act requires
HHAs to submit data for purposes of
measuring health care quality, and links
the quality data submission to the
annual applicable percentage increase.
Also, section 3131 of the Affordable
Care Act requires that HH services
furnished in a rural area (as defined in
section 1886(d)(2)(D) of the Act) for
episodes and visits ending on or after
April 1, 2010, and before January 1,
2016, receive an increase of 3 percent
the payment amount otherwise made
under section 1895 of the Act.
C. Overall Impact
The update set forth in this final rule
applies to Medicare payments under HH
PPS in CY 2012. Accordingly, the
following analysis describes the impact
in CY 2012 only. We estimate that the
net impact of the proposals in this rule
is approximately $430 million in CY
2012 savings. The $430 million impact
due to the proposed CY 2012 HH PPS
rule reflects the distributional effects of
an updated wage index ($10 million
increase) plus the 1.4 percent HH PPS
payment update percentage ($280
million increase), for a total increase of
$290 million. The 3.79 percent case-mix
adjustment applicable to the national
standardized 60-day episode rates ($720
million decrease) plus the combined
wage index and HH PPS payment
update percentage ($290 million
increase) results in a total savings of
$430 million in CY 2012. The $430
million in savings is reflected in the first
row of column 3 of Table 26 as a 2.31
percent decrease in expenditures when
comparing the current CY 2011 HH PPS
to the CY 2012 HH PPS.
The RFA requires agencies to analyze
options for regulatory relief of small
entities, if a rule has a significant impact
on a substantial number of small
entities. For purposes of the RFA, small
entities include small businesses,
nonprofit organizations, and small
governmental jurisdictions. Most
hospitals and most other providers and
suppliers are small entities, either by
nonprofit status or by having revenues
of less than $7.0 million to $34.5
million in any 1 year. For the purposes
of the RFA, our updated data show that
approximately 98 percent of HHAs are
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considered to be small businesses
according to the Small Business
Administration’s size standards with
total revenues of $13.5 million or less in
any 1 year. Individuals and States are
not included in the definition of a small
entity. The Secretary has determined
that this final rule would have a
significant economic impact on a
substantial number of small entities. We
define small HHAs as those with total
revenues of $13.5 million or less in any
1 year. Analysis reveals a 2.62 percent
decrease in estimated payments to small
HHAs in CY 2012.
A discussion on the alternatives
considered is presented in section V.E.
below. The following analysis, with the
rest of the preamble, constitutes our
final RFA analysis.
In this final rule, we have stated that
our analysis reveals that nominal casemix continues to grow under the HH
PPS. Specifically, nominal case-mix has
grown from the 17.45 percent growth
identified in our analysis for CY 2011
rulemaking to 19.03 percent for this
year’s rulemaking (see further
discussion in sections II.A. and II.B.).
Nominal case-mix is an increase in casemix that is not due to an increase in
patient acuity. We believe it is
appropriate to reduce the HH PPS rates
to account for the increase in nominal
case-mix, so as to move towards more
accurate payment for the delivery of
home health services. Our analysis
shows that smaller HHAs are impacted
slightly more than are larger HHAs by
the provisions of this rule.
In addition, section 1102(b) of the Act
requires us to prepare a regulatory
impact analysis if a rule may have a
significant impact on the operations of
a substantial number of small rural
hospitals. This analysis must conform to
the provisions of section 604 of RFA.
For purposes of section 1102(b) of the
Act, we define a small rural hospital as
a hospital that is located outside of a
metropolitan statistical area and has
fewer than 100 beds. This final rule
applies only to HHAs. Therefore, the
Secretary has determined that this final
rule would not have a significant
economic impact on the operations of
small rural hospitals.
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 2011, that
threshold is approximately $136
million. This final rule is not
anticipated to impose spending costs on
State, local, or Tribal governments in
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68601
the aggregate, or by the private sector, of
$136 million or more.
D. Detailed Economic Analysis
This final rule sets forth updates to
the HH PPS rates contained in the CY
2011 HH PPS final rule. The impact
analysis of this final rule presents the
estimated expenditure effects of policy
changes proposed in this rule. We use
the latest data and best analysis
available, but we do not make
adjustments for future changes in such
variables as number of visits or casemix.
This analysis incorporates the latest
estimates of growth in service use and
payments under the Medicare home
health benefit, based on Medicare
claims from 2009. We note that certain
events may combine to limit the scope
or accuracy of our impact analysis,
because such an analysis is futureoriented and, thus, susceptible to
inaccuracies resulting from other
changes in the impact time period
assessed. Some examples of such
possible events are newly-legislated
general Medicare program funding
changes made by the Congress, or
changes specifically related to HHAs. In
addition, changes to the Medicare
program may continue to be made as a
result of the Affordable Care Act, or new
statutory provisions. Although these
changes may not be specific to the HH
PPS, the nature of the Medicare program
is such that the changes may interact,
and the complexity of the interaction of
these changes could make it difficult to
predict accurately the full scope of the
impact upon HHAs.
Comment: A commenter
recommended that we modify our
impact analysis approach. The
commenter states that the proposed rule
simply quantifies the percentage cut in
rates on a geographic basis and broadly
evaluates the impact of the changes on
home health categories such as
freestanding, hospital-based, nonprofits,
and urban and rural providers.
Response: We believe that State-level
impacts would be misleading unless we
also provided break-outs of rural-versesurban and ownership status of providers
within the State. While we believe that
our impact analysis is reflective of how
HHAs are impacted by the provisions of
this rule in that we provide impacts by
type of facility, urban/rural, regions and
other areas of the country, and facility
size, we did perform a State-level
analysis as the commenters suggested.
That analysis shows similar results in
that States estimated to see the more
significant negative impacts, as a result
of the provisions of this rule, are located
in those areas of the country that are
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estimated to see the most significant
negative impact (that is, East South
Central, West South Central, South
Atlantic, East North Central, and
Mountain). Analysis shows, for the
States hit hardest in these areas of the
country, not-for-profit HHAs and HHAs
in rural areas are somewhat protected by
provisions of this rule such as the
redistributional effects of decreasing
case-mix weights for high therapy cases
and increasing case-mix weights for low
and non-therapy cases, and the 3
percent rural add-on update.
In addition, for States in which
significant negative impacts exist for
non-profit and/or rural HHAs, we
performed a preliminary analysis using
2009 freestanding Medicare cost report
data (MCR). This analysis indicates a
more than adequate volume of providers
with margins strong enough to absorb
the payment reductions to account for
nominal case-mix growth. For example,
our State-level analysis shows that
Tennessee is the hardest hit State by the
provisions of this rule, and is estimated
to see a ¥6.18 percent decrease in
payments from CY 2011 to CY 2012.
While the impact on rural and not-forprofit HHAs in Tennessee is somewhat
lessened for the reasons described
above, they are still estimated to see
significant decreases in payments in CY
2012. However, our preliminary
analysis of 2009 freestanding MCR data
indicate that Tennessee providers,
including rural and not-for-profit HHAs,
are experiencing margins which would
enable them to absorb the reductions.
Our analysis shows similar results in
several other States in these areas of the
country which are estimated to see
relatively significant negative impacts as
a result of the provisions of this rule. As
such, since our analysis of freestanding
HHA MCR data shows strong positive
margins in these areas of the country,
we believe that the provisions of this
rule, should not lead to access to access
to care issues. That being said, we
would like to note that predicting
agencies’ margins (particularly, the
increase in the number of agencies with
negative margins) as a result of the
provisions of this rule is difficult to do
because many agencies may find ways
to cut costs so that margins remain
strong. This is supported by the fact that
Medicare margins have remained strong
since PPS implementation even with
reductions in payments similar to the
reduction being finalized in this final
rule. We also understand that our
analyses has limitations since it is based
on 2009 MCR data, the latest complete
MCR data at the time of preparation of
this rulemaking. However, in their
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March 2011 Report to Congress,
MedPAC projected an average of 14.5
percent margins for HHAs in 2011,
when taking into account various
payment adjustments such as the CY
2011 payment reduction for nominal
case-mix growth.
To supplement the above described
analysis, similar to analysis that we
have performed in previous rulemaking
when the issue of ‘‘access to care’’ was
a concern, we also looked at estimated
margins of HHAs, by county after
estimating the impact of the provisions
of this rule. We performed this analysis
for the purposes of possibly identifying
potential access risks associated with
this rule. In particular, we looked to
identify whether the finalized policies
of this rule might increase the number
of counties not served by at least one
HHA with a positive margin. The
analysis demonstrated that the
occurrence of such counties was very
infrequent. Looking further, we also
identified that the counties we
identified as not having at least one
HHA with a positive margin did have at
least one HHA in a contiguous county
with a positive margin, or at a minimum
it was determined that the provisions of
this rule did not create a scenario
where, for a county without at least one
HHA with a positive margin, that
county did not have a contiguous
county with at least one HHA with a
positive margin.
As we have previously described, our
preliminary analyses indicate HH
industry margins are sufficient to
support a rate reduction of this size. We
note that margin analysis alone is not an
accurate access to care indicator. Many
factors affect whether agencies with low
or negative margin would close or not,
such as the organization’s mission, the
availability of alternate sources of
funding, and whether or not the
organization is embedded in a larger
one. We would also like to note that the
number of agencies continues to grow,
totaling around 11,000 in 2010, a 65
percent increase since 2002 and that
access to care was not found to be
inadequate in 2002, when the number of
agencies nationally was much lower
than it is today. Thus, given these
reasons along with our described
analysis above we do not believe that
the finalized policies in this rule should
result in access to care issues. At the
core of our policies is our objective to
pay appropriately for the efficient
delivery of reasonable and necessary
home health services. As always, we
will, of course, continue to monitor for
unintended consequences of the final
policies of this rule.
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Table 26 represents how HHA
revenues are likely to be affected by the
policy changes proposed in this rule.
For this analysis, we used linked home
health claims and OASIS assessments;
the claims represented a 20-percent
sample of 60-day episodes occurring in
CY 2009. The first column of Table 26
classifies HHAs according to a number
of characteristics including provider
type, geographic region, and urban and
rural locations. The second column
shows the payment effects of the wage
index only. The third column shows the
payment effects of all the proposed
policies outlined earlier in this rule. For
CY 2012, the average impact for all
HHAs due to the effects of the wage
index is a 0.03 percent increase in
payments. The overall impact for all
HHAs, in estimated total payments from
CY 2011 to CY 2012, is a decrease of
approximately 2.31 percent.
As shown in Table 26, the combined
effects of all of the changes vary by
specific types of providers and by
location. Rural and voluntary non-profit
agencies fare considerably better than
urban and proprietary agencies as a
result of the proposed provisions of this
rule. We believe this is due mainly to
the distributional effects of the
recalibration of the case-mix weights as
described in section II.A of the proposed
rule. Essentially, these impacts suggest
that under the current case-mix system,
rural and voluntary non-profit agencies
bill less for high therapy episodes than
do urban and proprietary agencies.
There is not much difference in the
estimated impact (2.79 to 2.98 percent
decreases) on HHAs when looking at the
facility size based on the number of first
episodes, with the lone exception being
that the largest HHAs are estimated to
see a 1.88 percent decrease in payments
in CY 2012. There is considerable
variation in the estimated impacts
depending on the region of the country
in which the HHA is located. HHAs in
the North are estimated to see a 1.31
percent increase in payments while
HHAs in other regions are estimated to
receive between a 0.09 percent increase
in payments (West) and a 3.83 percent
decrease (South). HHAs in the New
England, Mid Atlantic, and Pacific areas
of the country are estimated to receive
increases of 1.37 percent, 1.27 percent
and 1.33 percent, respectively.
However, HHAs in the South Atlantic,
East South Central, West South Central,
East North Central, West North Central,
and Mountain areas of the country are
estimated to receive decreases in
payments ranging from 0.50 percent to
4.78 percent. Freestanding HHAs are
estimated to see a 2.73 percent decrease
in payments while facility-based HHAs
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see a 1.52 percent decrease in payments
in CY 2012, while urban agencies are
estimated to see a 2.45 percent decrease
in payments. Rural, freestanding,
voluntary not-for-profit HHAs are
estimated to see a 1.56 percent increase
in payments. As described above, we
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believe the considerable variation in
some of the estimated impacts is due
mainly to the distributional effects of
the recalibration of the case-mix
weights.
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are estimated to see a 0.53 percent
increase in payments. Voluntary not-forprofit HHAs are estimated to see a 0.52
percent increase in payments, while forprofit HHAs are estimated to see a 3.49
percent decrease in payments in CY
2012. Rural agencies are estimated to
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E. Alternatives Considered
As described in section V.C. above,
implementing the case-mix adjustment
for CY 2012 along with the HH PPS
payment update percentage and the
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updated wage index, the aggregate
impact would be a net decrease of $430
million in payments to HHAs, resulting
from a $290 million increase due to the
updated wage index and the HH PPS
payment update percentage and a $720
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million reduction from the 3.79 percent
case-mix adjustment. If we were to not
implement the case-mix adjustment for
CY 2012, Medicare would pay an
estimated $720 million more to HHAs in
CY 2012, for a net increase in payments
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68605
case-mix, which is an increase in casemix that is not due to patient acuity. As
discussed in section II.A. of this rule,
we have determined that there is a 19.03
percent nominal case-mix change from
2000 to 2009. To account for the
remainder of the 19.03 percent residual
increase in nominal case-mix beyond
that which was has been accounted for
in previous payment reductions (2.75
percent in CY 2008 through CY 2010
and 3.79 percent in CY 2011),), as
described in the proposed rule and
restated in Section II.A. of this rule, we
have estimated that the percentage
reduction to the national standardized
60-day episode rates for nominal casemix change for CY 2012 would be 5.06
percent. As described in a comment and
response in Section II.A. of this rule,
commenters expressed concern that the
proposed cut of 5.06 percent would
impede access to home health care.
Some commenters stated that rural areas
would be hit the hardest by a case-mix
reduction to payments. One commenter
described his analysis which concluded
that over 55 percent of agencies would
be forced into negative margins as a
result of the reductions. The commenter
further stated that six States and Guam
would have more than 70 percent of
their agencies with negative margins in
CY 2012 as a result of the proposed 5.06
percent reduction. In response to these
comments, we noted that the effects of
the payment update, the wage index
update, and the revision of case-mix
weights must also be taken into account
when assessing the impact of a 5.06
percent reduction and that we believe
the commenter did not do consider
these in his analysis. We described our
analysis which showed that the revision
of the case-mix weights would have a
re-distributional effect on HH PPS
payments which benefit rural and nonprofit HHAs, and HHAs in certain areas
of the country. Our analysis showed that
some rural and non-profit HHAs, as well
as HHAs in certain areas of the country,
were estimated to see an increase in
payments in CY 2012, even with a 5.06
percent nominal case-mix reduction. We
described our analysis of the combined
effects of all the policies in the proposed
rule, our preliminary analysis of
Medicare CRs, and MedPAC’s margin
projections, and we concluded that
Medicare margins are strong enough to
absorb a 5.06 percent reduction to
account for growth in nominal case-mix
without impeding access. However, for
the reasons described in section II.A. in
this final rule, we are phasing-in the
implementation of a 5.06 percent
reduction over 2 years, finalizing a 3.79
percent reduction in CY 2012 and a 1.32
percent reduction in CY 2013.
We believe that the alternative of not
implementing a case-mix adjustment to
the payment system in CY 2012 to
account for the increase in case-mix that
is not real would be detrimental to the
integrity of the PPS. As discussed in
section II.A. of this rule, because
nominal case-mix continues to grow
(about 1 percent each year in 2006 and
2007, 4 percent in 2008, and 2 percent
in 2009), and thus to date we have not
accounted for all the increase in
nominal case-mix growth, we believe it
is appropriate to reduce HH PPS rates
now, thereby paying more accurately for
the delivery of home health services
under the Medicare home health
benefit. The other reduction to HH PPS
payments, a 1.0 percentage point
reduction to the proposed CY 2012
home health market basket update, is
discussed in this rule and is not
discretionary as it is a requirement in
section 1895(b)(3)(B)(vi) of the Act (as
amended by the Affordable Care Act).
G. Conclusion
is approximately $430 million in CY
2012 savings. The $430 million impact
to the final CY 2012 HH PPS reflects the
distributional effects of an updated
wage index ($10 million increase), the
1.4 percent HH PPS payment update
In conclusion, we estimate that the
net impact of the proposals in this rule
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F. Accounting Statement and Table
As required by OMB Circular A–4
(available at https://
www.whitehouse.gov/omb/
circulars_a004_a-4), in Table 27, we
have prepared an accounting statement
showing the classification of the
transfers associated with the provisions
of this final rule. This table provides our
best estimate of the decrease in
Medicare payments under the HH PPS
as a result of the changes presented in
this final rule.
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to HHAs in CY 2012 of $290 million
(HH PPS payment update percentage
and updated wage index). We believe
that not implementing a case-mix
adjustment, and paying out an
additional $720 million to HHAs when
those additional payments are not
reflective of HHAs treating sicker
patients, would not be in line with the
intent of the HH PPS, which is to pay
accurately and appropriately for the
delivery of home health services to
Medicare beneficiaries. If we were to
implement a 5.06 case-mix adjustment
for CY 2012 along with the HH PPS
payment update percentage and the
updated wage index, the aggregate
impact would be a net decrease of $670
million in payment to HHAs, resulting
from a $290 million increase due to the
updated wage index and the HH PPs
payment update percentage and a $960
million reduction from a 5.06 percent
case-mix adjustment. As we stated in
our response to comments in Section
II.A. of this rule, we are sensitive to the
challenges HHAs may have had in
adapting to the Affordable Care Act
provisions which were implemented in
CY 2011, such as the face-to-face
encounter provision. We also agree that
the Affordable Care Act provisions and
the CY 2011 therapy changes described
by commenters likely required HHAs to
incorporate process changes to adhere to
these new requirements. As such, we
are finalizing a phased-in
implementation of the 5.06 percent
reduction over 2 years, as some
commenters suggested. We believe that
by phasing-in the reductions over CY
2012 and CY 2013, we allow HHAs an
opportunity to adopt process
efficiencies associated with the CY 2011
mandates prior to imposing the full 5.06
percent payment reduction.
Section 1895(b)(3)(B)(iv) of the Act
gives CMS the authority to implement
payment reductions for nominal casemix growth, changes in case-mix that
are unrelated to actual changes in
patient health status. We are committed
to monitoring the accuracy of payments
to HHAs, which includes the
measurement of the increase in nominal
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percentage ($280 million increase), and
the 3.79 percent case-mix adjustment
applicable to the national standardized
60-day episode rates ($720 million
decrease). This analysis, together with
the remainder of this preamble,
provides a Regulatory Impact Analysis.
V. Federalism Analysis
Executive Order 13132 on Federalism
(August 4, 1999) 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
final rule under the threshold criteria of
Executive Order 13132, Federalism, and
have determined that it would not have
substantial direct effects on the rights,
roles, and responsibilities of States,
local or Tribal governments.
List of Subjects
42 CFR Part 409
Health facilities, Medicare.
42 CFR Part 424
Emergency medical services, Health
facilities, Health professions, Medicare,
Reporting and recordkeeping
requirements.
42 CFR Part 484
Health facilities, Health professions,
Medicare, Reporting and recordkeeping
requirements.
For the reasons set forth in the
preamble, the Centers for Medicare &
Medicaid Services amends 42 CFR
chapter IV as set forth below:
PART 409—HOSPITAL INSURANCE
BENEFITS
1. The authority citation for part 409
continues to read as follows:
■
Authority: Secs. 1102 and 1871 of the
Social Security Act (42 U.S.C. 1302 and
1395hh).
Subpart E—Home Health Services
Under Hospital Insurance
2. Section 409.42 is amended by
revising paragraph (c)(4) to read as
follows:
■
jlentini on DSK4TPTVN1PROD with RULES2
§ 409.42 Beneficiary qualifications for
coverage of services.
*
*
*
*
*
(c) * * *
(4) Occupational therapy services in
the current and subsequent certification
periods (subsequent adjacent episodes)
that meet the requirements of
§ 409.44(c) initially qualify for home
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health coverage as a dependent service
as defined in § 409.45(d) if the
beneficiary’s eligibility for home health
services has been established by virtue
of a prior need for intermittent skilled
nursing care, speech-language pathology
services, or physical therapy in the
current or prior certification period.
Subsequent to an initial covered
occupational therapy service,
continuing occupational therapy
services which meet the requirements of
§ 409.44(c) are considered to be
qualifying services.
*
*
*
*
*
■ 3. Section 409.44 is amended by
revising paragraphs (c) introductory
text, (c)(2)(i)(C)(2), and (c)(2)(i)(D)(2) to
read as follows:
§ 409.44
Skilled services requirements.
*
*
*
*
*
(c) Physical therapy, speech-language
pathology services, and occupational
therapy. To be covered, physical
therapy, speech-language pathology
services, and occupational therapy must
satisfy the criteria in paragraphs (c)(1)
and (2) of this section.
*
*
*
*
*
(2) * * *
(i) * * *
(C) * * *
(2) Where more than one discipline of
therapy is being provided, the qualified
therapist from each discipline must
provide all of the therapy services and
functionally reassess the patient in
accordance with paragraph (c)(2)(i)(A)
of this section during the visit
associated with that discipline which is
scheduled to occur close to the 14th
Medicare-covered therapy visit, but no
later than the 13th Medicare-covered
therapy visit.
(D) * * *
(2) Where more than one discipline of
therapy is being provided, the qualified
therapist from each discipline must
provide all of the therapy services and
functionally reassess the patient in
accordance with paragraph (c)(2)(i)(A)
of this section during the visit
associated with that discipline which is
scheduled to occur close to the 20th
Medicare-covered therapy visit, but no
later than the 19th Medicare-covered
therapy visit.
*
*
*
*
*
PART 424—CONDITIONS FOR
MEDICARE PAYMENT
4. The authority citation for part 424
continues to read as follows:
■
Authority: Secs. 1102 and 1871 of the
Social Security Act (42 U.S.C. 1302 and
1395hh).
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Subpart B—Certification and Plan
Requirements
5. Section 424.22 is amended by
revising paragraphs (a)(1)(v)
introductory text and (a)(1)(v)(A) to read
as follows:
■
§ 424.22 Requirements for home health
services.
*
*
*
*
*
(a) * * *
(1) * * *
(v) The physician responsible for
performing the initial certification must
document that the face-to-face patient
encounter, which is related to the
primary reason the patient requires
home health services, has occurred no
more than 90 days prior to the home
health start of care date or within 30
days of the start of the home health care
by including the date of the encounter,
and including an explanation of why
the clinical findings of such encounter
support that the patient is homebound
and in need of either intermittent
skilled nursing services or therapy
services as defined in § 409.42(a) and (c)
of this chapter, respectively. The faceto-face encounter must be performed by
the certifying physician himself or
herself, by a nurse practitioner, a
clinical nurse specialist (as those terms
are defined in section 1861(aa)(5) of the
Act) who is working in collaboration
with the physician in accordance with
State law, a certified nurse midwife (as
defined in section 1861(gg)of the Act) as
authorized by State law, a physician
assistant (as defined in section
1861(aa)(5) of the Act) under the
supervision of the physician, or, for
patients admitted to home health
immediately after an acute or post-acute
stay, the physician who cared for the
patient in an acute or post-acute facility
and who has privileges at the facility.
The documentation of the face-to-face
patient encounter must be a separate
and distinct section of, or an addendum
to, the certification, and must be clearly
titled, dated and signed by the certifying
physician.
(A) If the certifying physician does
not perform the face-to-face encounter
himself or herself, the nonphysician
practitioner or the physician who cared
for the patient in an acute or post-acute
facility performing the face-to-face
encounter must communicate the
clinical findings of that face-to-face
patient encounter to such certifying
physician.
*
*
*
*
*
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PART 484—HOME HEALTH SERVICES
6. The authority citation for part 484
continues to read as follows:
■
Authority: Secs. 1102 and 1871 of the
Social Security Act (42 U.S.C. 1302 and
1395(hh)) unless otherwise indicated.
Subpart E—Prospective Payment
System for Home Health Agencies
7. Section 484.250 is revised to read
as follows:
■
§ 484.250
Patient assessment data.
jlentini on DSK4TPTVN1PROD with RULES2
(a) Data submission. An HHA must
submit the following data to CMS:
(1) The OASIS–C data described at
§ 484.55(b)(1) of this part for CMS to
administer the payment rate
methodologies described in §§ 484.215,
484.230, and 484.235 of this subpart,
and to meet the quality reporting
requirements of section 1895(b)(3)(B)(v)
of the Act.
(2) The Home Health Care CAHPS
survey data for CMS to administer the
payment rate methodologies described
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in § 484.225(i) of this subpart, and to
meet the quality reporting requirements
of section 1895(b)(3)(B)(v) of the Act.
(b) Patient count. An HHA that has
less than 60 eligible unique HHCAHPS
patients annually must annually submit
to CMS their total HHCAHPS patient
count to CMS to be exempt from the
HHCAHPS reporting requirements for a
calendar year period.
(c) Survey requirements. An HHA
must contract with an approved,
independent HHCAHPS survey vendor
to administer the HHCAHPS Survey on
its behalf.
(1) CMS approves an HHCAHPS
survey vendor if such applicant has
been in business for a minimum of 3
years and has conducted surveys of
individuals and samples for at least 2
years.
(i) For HHCAHPS, a ‘‘survey of
individuals’’ is defined as the collection
of data from at least 600 individuals
selected by statistical sampling methods
and the data collected are used for
statistical purposes.
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68607
(ii) All applicants that meet these
requirements will be approved by CMS.
(2) No organization, firm, or business
that owns, operates, or provides staffing
for a HHA is permitted to administer its
own Home Health Care CAHPS
(HHCAHPS) Survey or administer the
survey on behalf of any other HHA in
the capacity as an HHCAHPS survey
vendor. Such organizations will not be
approved by CMS as HHCAHPS survey
vendors.
Authority: (Catalog of Federal Domestic
Assistance Program No. 93.773, Medicare—
Hospital Insurance; and Program No. 93.774,
Medicare—Supplementary Medical
Insurance Program).
Dated: October 13, 2011.
Donald M. Berwick,
Administrator, Centers for Medicare &
Medicaid Services.
Approved: October 25, 2011.
Kathleen Sebelius,
Secretary, Department of Health and Human
Services.
[FR Doc. 2011–28416 Filed 10–31–11; 4:15 pm]
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Agencies
[Federal Register Volume 76, Number 214 (Friday, November 4, 2011)]
[Rules and Regulations]
[Pages 68526-68607]
From the Federal Register Online via the Government Printing Office [www.gpo.gov]
[FR Doc No: 2011-28416]
[[Page 68525]]
Vol. 76
Friday,
No. 214
November 4, 2011
Part II
Department of Health and Human Services
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Centers for Medicare & Medicaid Services
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42 CFR Parts 409, 424, and 484
Medicare Program; Home Health Prospective Payment System Rate Update
for Calendar Year 2012; Final Rule
Federal Register / Vol. 76, No. 214 / Friday, November 4, 2011 /
Rules and Regulations
[[Page 68526]]
-----------------------------------------------------------------------
DEPARTMENT OF HEALTH AND HUMAN SERVICES
Centers for Medicare & Medicaid Services
42 CFR Parts 409, 424, and 484
[CMS-1353-F]
RIN 0938-AQ30
Medicare Program; Home Health Prospective Payment System Rate
Update for Calendar Year 2012
AGENCY: Centers for Medicare & Medicaid Services (CMS), HHS.
ACTION: Final rule.
-----------------------------------------------------------------------
SUMMARY: This final rule sets forth updates to the home health
prospective payment system (HH PPS) rates, including: the national
standardized 60-day episode rates; the national per-visit rates; and
the low utilization payment amount (LUPA) under the Medicare PPS for
home health agencies effective January 1, 2012. This rule applies a 1.4
percent update factor to the episode rates, which reflects a 1 percent
reduction applied to the 2.4 percent market basket update factor, as
mandated by the Affordable Care Act. This rule also updates the wage
index used under the HH PPS, and further reduces home health payments
to account for continued nominal growth in case-mix which is unrelated
to changes in patient health status. This rule removes two hypertension
codes from the HH PPS case-mix system, thereby requiring recalibration
of the case-mix weights. In addition, the rule implements two
structural changes designed to decrease incentives to upcode and
provide unneeded therapy services. Finally, this rule incorporates
additional flexibility regarding face-to-face encounters with providers
related to home health care.
DATES: Effective Date: These regulations are effective on January 1,
2012.
FOR FURTHER INFORMATION CONTACT:
Elizabeth Goldstein, (410) 786-6665, for CAHPS issues.
Mary Pratt, (410) 786-6867, for quality issues.
Randy Throndset, (410) 786-0131 (overall HH PPS).
Table of Contents
I. Background
A. Statutory Background
B. System for Payment of Home Health Services
C. Updates to the HH PPS
II. Provisions of the Proposed Rule and Response to Comments
A. Case-Mix Measurement
B. Case-Mix Revision to the Case-Mix Weights
1. Hypertension Diagnosis Coding Under the HH PPS
2. Revision of the Case-Mix Weights
C. Outlier Policy
1. Background
2. Comments and Responses
D. CY 2012 Rate Update
1. Home Health Market Basket Update
2. Home Health Care Quality Reporting Program
a. Background and Quality Reporting Requirements
b. OASIS Data
c. Claims Data, Requirements and Outcome Measure Change
d. Home Health Care CAHPS Survey (HHCAHPS)
3. Home Health Wage Index
4. CY 2012 Annual Payment Update
a. National Standardized 60-Day Episode Rate
b. Updated CY 2012 National Standardized 60-Day Episode Payment
Rate
c. National Per-Visit Rates Used To Pay LUPAs and Compute
Imputed Costs Used in Outlier Calculations
d. LUPA Add-On Payment Amount Update
e. Nonroutine Medical Supply Conversion Factor Update
5. Rural Add-On
E. Therapy Corrections and Clarification
F. Home Health Face-to-Face Encounter
G. Payment Reform: Home Health Study and Report
H. International Classification of Diseases 10th Edition (ICD-
10) Coding
I. Clarification to Benefit Policy Manual Language on ``Confined
to the Home'' Definition
III. Collection of Information Requirements
IV. Regulatory Impact Analysis
V. Federalism Analysis
Regulations Text
Acronyms
In addition, because of the many terms to which we refer by
abbreviation in this final rule, the following is an alphabetical
listing of these abbreviations and their corresponding terms:
ADL Activities of daily living
APA Administrative Procedures Act
APU Annual payment update
BBA Balanced Budget Act of 1997, Public Law 105-33
BBRA Medicare, Medicaid, and SCHIP Balanced Budget Refinement Act of
1999, Public Law 106-113
CR Cost report
CBSA Core-based statistical area
CBO Congressional Budget Office
CMI Case-mix index
CMS Centers for Medicare and Medicaid Services
CoPs Conditions of participation
DRA Deficit Reduction Act of 2005, Public Law 109-171, enacted
February 8, 2006
FDL Fixed dollar loss
FI Fiscal intermediaries
FR Federal Register
FY Fiscal year
HCC Hierarchical condition categories
HCIS Health Care Information System
HHCAHPS Home Health Care Consumer Assessment of Healthcare Providers
and Systems Survey
HH PPS Home Health Prospective Payment System
HHAs Home health agencies
HHRG Home health resource group
HIPPS Health Insurance Prospective Payment System
IRF Inpatient Rehabilitation Facility
LTCH Long-Term Care Hospital
LUPA Low Utilization Payment Amount
MMA Medicare Prescription Drug, Improvement, and Modernization Act
of 2003, Public Law 108-173, enacted December 8, 2003
MSA Metropolitan statistical area
MSS Medical social services
NAHC National Association for Home Care and Hospice
NHLBI National Heart Lung and Blood Institute
NPP Nonphysician practitioner
NRS Non-routine supplies
OBRA Omnibus Reconciliation Act of 1981, Public Law 97-35, enacted
August 13, 1981
OCESAA Omnibus Consolidated and Emergency Supplemental
Appropriations Act, Public Law 105-277, enacted October 21, 1998
OES Occupational employment statistics
OIG Office of Inspector General
OT Occupational therapy
OMB Office of Management and Budget
PEP Partial episode payment
POC Plan of care
PT Physical therapy
QAP Quality assurance plan
PRRB Provider Reimbursement Review Board
RAP Request for anticipated payment
RFA Regulatory Flexibility Act, Public Law 96-354
RHHIs Regional Home Health Intermediaries
RIA Regulatory Impact Analysis
SLP Speech Language Pathology Therapy
SNF Skilled Nursing Facility
UMRA Unfunded Mandates Reform Act of 1995
SUPPLEMENTARY INFORMATION:
I. Background
A. Statutory Background
The Balanced Budget Act of 1997 (BBA) (Pub. L. 105-33, enacted
August 5, 1997), significantly changed the way Medicare pays for
Medicare home health (HH) services. Section 4603 of the BBA mandated
the development of the home health prospective payment system (HH PPS).
Until the implementation of a HH PPS on October 1, 2000, home health
agencies (HHAs) received payment under a retrospective reimbursement
system.
Section 4603(a) of the BBA mandated the development of a HH PPS for
all Medicare-covered HH services provided under a plan of care (POC)
that were paid on a reasonable cost basis by adding section 1895 of the
Social
[[Page 68527]]
Security Act (the Act), entitled ``Prospective Payment For Home Health
Services''. Section 1895(b)(1) of the Act requires the Secretary to
establish a HH PPS for all costs of HH services paid under Medicare.
Section 1895(b)(3)(A) of the Act requires the following: (1) The
computation of a standard prospective payment amount include all costs
for HH services covered and paid for on a reasonable cost basis and
that such amounts be initially based on the most recent audited cost
report (CR) data available to the Secretary; and (2) the standardized
prospective payment amount be adjusted to account for the effects of
case-mix and wage levels among HHAs.
Section 1895(b)(3)(B) of the Act addresses the annual update to the
standard prospective payment amounts by the HH applicable percentage
increase. Section 1895(b)(4) of the Act governs the payment
computation. Sections 1895(b)(4)(A)(i) and (b)(4)(A)(ii) of the Act
require the standard prospective payment amount to be adjusted for
case-mix and geographic differences in wage levels. Section
1895(b)(4)(B) of the Act requires the establishment of an appropriate
case-mix change adjustment factor for significant variation in costs
among different units of services.
Similarly, section 1895(b)(4)(C) of the Act requires the
establishment of wage adjustment factors that reflect the relative
level of wages, and wage-related costs applicable to HH services
furnished in a geographic area compared to the applicable national
average level. Under section 1895(b)(4)(c) of the Act, the wage-
adjustment factors used by the Secretary may be the factors used under
section 1886(d)(3)(E) of the Act.
Section 1895(b)(5) of the Act gives the Secretary the option to
make additions or adjustments to the payment amount otherwise paid in
the case of outliers because of unusual variations in the type or
amount of medically necessary care. Section 3131(b) of the Patient
Protection and Affordable Care Act of 2010 (the Affordable Care Act)
(Pub. L. 111-148, enacted March 23, 2010) revised section 1895(b)(5) of
the Act so that estimated total outlier payments in a given fiscal year
(FY) or year may not exceed 2.5 percent of total payments projected or
estimated. The provision also makes permanent a 10 percent agency level
outlier payment cap.
In accordance with section 4603(a) of the BBA, we published a final
rule in the July 3, 2000 Federal Register (65 FR 41128) to implement
the HH PPS legislation. The July 2000 final rule established
requirements for the new HH PPS for HH services as required by section
4603 of the BBA, as subsequently amended by section 5101 of the Omnibus
Consolidated and Emergency Supplemental Appropriations Act (OCESAA) for
Fiscal Year 1999, (Pub. L. 105-277, enacted October 21, 1998); and by
sections 302, 305, and 306 of the Medicare, Medicaid, and SCHIP
Balanced Budget Refinement Act (BBRA) of 1999, (Pub. L. 106-113,
enacted November 29, 1999). The requirements include the implementation
of a HH PPS for HH services, consolidated billing requirements, and a
number of other related changes. The HH PPS described in that rule
replaced the retrospective reasonable cost-based system that was used
by Medicare for the payment of HH services under Part A and Part B. For
a complete and full description of the HH PPS as required by the BBA,
see the July 2000 HH PPS final rule (65 FR 41128 through 41214).
Section 5201(c) of the Deficit Reduction Act of 2005 (DRA) (Pub. L.
109-171, enacted February 8, 2006) added new section 1895(b)(3)(B)(v)
to the Act, requiring HHAs to submit data for purposes of measuring
health care quality, and links the quality data submission to the
annual applicable percentage increase. This data submission requirement
is applicable for CY 2007 and each subsequent year. If an HHA does not
submit quality data, the HH market basket percentage increase is
reduced 2 percentage points. In the November 9, 2006 Federal Register
(71 FR 65884, 65935), we published a final rule to implement the pay-
for-reporting requirement of the DRA, which was codified at Sec.
484.225(h) and (i) in accordance with the statute.
Section 421(a) of the Medicare Prescription Drug, Improvement, and
Modernization Act of 2003 (MMA) (Pub. L. 108-173, enacted December 8,
2003) provides an increase of 3 percent of the payment amount otherwise
made under section 1886(d)(2)(D) of the Act for HH services furnished
in a rural area for episodes and visits ending on or after April 1,
2010, and before January 1, 2016.
B. System for Payment of Home Health Services
Generally, Medicare makes payment under the HH PPS on the basis of
a national standardized 60-day episode payment rate that is adjusted
for the applicable case-mix and wage index. The national standardized
60-day episode rate includes the six HH disciplines (skilled nursing,
HH aide, physical therapy, speech-language pathology, occupational
therapy, and medical social services). Payment for non-routine medical
supplies (NRS), is no longer part of the national standardized 60-day
episode rate and is computed by multiplying the relative weight for a
particular NRS severity level by the NRS conversion factor (See section
II.D.4.e). Payment for durable medical equipment covered under the HH
benefit is made outside the HH PPS payment system. To adjust for case-
mix, the HH PPS uses a 153-category case-mix classification to assign
patients to a home health resource group (HHRG). The clinical severity
level, functional severity level, and service utilization are computed
from responses to selected data elements in the OASIS assessment
instrument and are used to place the patient in a particular HHRG. Each
HHRG has an associated case-mix weight which is used in calculating the
payment for an episode.
For episodes with four or fewer visits, Medicare pays based on a
national per-visit rate, adjusted by the discipline(s) providing the
services; an episode consisting of four or fewer visits within a 60-day
period receives what is referred to as a low utilization payment
adjustment (LUPA). Medicare also adjusts the national standardized 60-
day episode payment rate for certain intervening events that are
subject to a partial episode payment adjustment (PEP adjustment). For
certain cases that exceed a specific cost threshold, an outlier
adjustment may also be available.
C. Updates to the HH PPS
As required by section 1895(b)(3)(B) of the Act, we have
historically updated the HH PPS rates annually in the Federal Register.
The August 29, 2007 final rule with comment period set forth an update
to the 60-day national episode rates and the national per-visit rates
under the Medicare prospective payment system for HHAs for CY 2008. The
CY 2008 rule included an analysis performed on CY 2005 HH claims data,
which indicated a 12.78 percent increase in the observed case-mix since
2000. The case-mix represented the variations in conditions of the
patient population served by the HHAs. Subsequently, a more detailed
analysis was performed on the 12.78 percent increase in case-mix to
evaluate if any portion of the increase was associated with a change in
the actual clinical condition of HH patients. We examined data on
demographics, family severity, and non-HH Part A Medicare expenditures
to predict the average case-mix weight for 2005. We identified
[[Page 68528]]
8.03 percent of the total case-mix change as real and decreased the
12.78 percent of total case-mix change by 8.03 percent to get a final
nominal case-mix increase measure of 11.75 percent (0.1278 * (1-0.0803)
= 0.1175).
To account for the changes in case-mix that were not related to an
underlying change in patient health status, we implemented a reduction
over 4 years in the national standardized 60-day episode payment rates
and the NRS conversion factor. That reduction was to be 2.75 percent
per year for 3 years beginning in CY 2008 and 2.71 percent for the
fourth year in CY 2011.
For CY 2011, we published the November 17, 2010 final rule (75 FR
70372) (hereinafter referred to as the CY 2011 HH PPS final rule) that
set forth the update to the 60-day national episode rates and the
national per-visit rates under the Medicare prospective payment system
for HH services.
As discussed in the CY 2011 HH PPS final rule, our analysis
indicated that there was a 19.40 percent increase in overall case-mix
from 2000 to 2008 and that only 10.07 percent of that overall observed
case-mix percentage increase was due to real case-mix change. As a
result of our analysis, we identified a 17.45 percent nominal increase
in case-mix. To fully account for the 17.45 percent nominal case-mix
growth which was identified from 2000 to 2008, we proposed 3.79 percent
payment reductions in both CY 2011 and CY 2012. However, we deferred
finalizing a payment reduction for CY 2012 until a further study of the
case-mix data was completed. Independent review of the case-mix model
has been conducted and the results were discussed in section II.A. of
the proposed rule, which was issued on July 12, 2011 (76 FR 40988).
II. Provisions of the Proposed Rule and Response to Comments
A. Case-Mix Measurement
As stated in the proposed rule issued in the July 12, 2011 Federal
Register, every year, since the HH PPS CY 2008 proposed rule, we have
stated in HH PPS rulemaking that we would continue to monitor case-mix
changes in the HH PPS and to update our analysis to measure change in
case-mix, both real changes in case-mix and changes which are unrelated
to changes in patient acuity (nominal). We have continued to monitor
case-mix changes and our latest analysis continues to support the need
to make payment adjustments to account for nominal case-mix growth.
In the CY 2012 HH PPS proposed rule (76 FR 40991), we also stated
that in response to comments we received on our case-mix measurement
methodology during CY 2011 rulemaking, we procured an independent
review of our methodology by a team at Harvard University led by Dr.
David Grabowski. The review included an examination of the predictive
regression models and data used in CY 2011 rulemaking, and further
analysis consisting of extensions of the model to allow a closer look
at nominal case-mix growth by categorizing the growth according to
provider types and subgroups of patients. The extensions showed a
similar rate of nominal case-mix growth from 2000 to 2008 for the
various categories and subgroups. In addition, when reviewing the
model, the Harvard team found that overall, our models are robust.
However, one area of potential refinement to our models that the
Harvard team suggested was to incorporate variables derived from
Hierarchical Condition Categories (HCC) data, which is used by CMS to
risk-adjust payments to managed care organizations in the Medicare
program.
Based on Dr. Grabowski and his team's recommendation and our
previous consideration to incorporate HCC data in our models to assess
real case-mix change, we decided to explore the effects of adding HCC
patient classification data into our models. For our analysis of real
and nominal case-mix growth from 2000 to 2009, we incorporated the HCC
community scores, HCC demographic variables, and disease indicator
variables into our models.
In addition, for our analysis, we used a similar approach to our
previous methods. The basic method is to estimate a prediction model
and use coefficients from that model along with predictor variables
from a different year to predict the average case-mix for that year. It
should be noted that we chose to enhance our models with HCC data
starting in 2005 due to the availability of HCC data in our analytic
files. Therefore, we analyzed real case-mix change for 3 different
periods, from 2000 to 2005, from 2005 to 2007, and from 2007 to 2009.
The real case-mix change from 2000 to 2005 was assessed using the same
variables used in the model described in last year's regulation (75 FR
43238). The real case-mix change from 2005 to 2007 and from 2007 to
2009 was assessed using additional information from the HCC variables.
To determine the amount of real and nominal case-mix change from 2000
to 2009, we added the change in case-mix units for each of the 3
periods and compared it to the total change in case-mix from 2000 to
2009. Based on the results from our models, we estimated 15.76 percent
of the total case-mix change as real. When taking into account the
total case-mix change from 2000 to 2009 (22.59 percent) and the 15.76
percent of total case-mix change estimated as real from 2000 to 2009,
we obtained a final nominal case-mix change measure of 19.03 percent
from 2000 to 2009 (0.2259 * (1-0.1576) = 0.1903).
In each of the years 2008, 2009, and 2010, we reduced payment rates
by 2.75 percent and in 2011 we reduced payment rates by 3.79 percent to
account for nominal case-mix change from 2000. In the proposed rule, we
stated that a payment reduction of 5.06 percent would be needed to
account for the outstanding amount of nominal case-mix change we
estimated based on the real case-mix change analysis updated through
2009 and we proposed to implement a 5.06 percent reduction to the
national standardized 60-day episode rates to account for the entire
residual amount of nominal case-mix change through 2009 in one year.
The following is a summary of the comments we received regarding
the case-mix measurement proposal.
Comment: Some commenters stated that CMS should not implement an
across-the-board punishment but rather target the agencies that have
high nominal case-mix growth. Other commenters stated that all home
health providers should not be punished for the actions of the few.
Many commenters indicated that their agency had case-mix weights below
the national average and some commenters stated that there has been a
decline in their case-mix over the years. Commenters suggested that CMS
limit the case-mix reductions to certain agencies and only apply the
reduction to agencies whose average case-mix weight reflects high
nominal case-mix growth.
Response: For a variety of reasons, as we have noted in previous
regulations, we have not proposed targeted reductions for nominal case-
mix change. We have not conducted analysis of how and whether
individual agencies' coding practices have changed over time, because
this is not feasible. One reason is that many agencies have small
patient populations, which would make it practically impossible to
measure nominal case-mix change reliably. Another reason is that we
believe changes and improvements in coding have been widespread, so
that such targeting would likely not separate agencies clearly into
high and low coding-change groups. When performing an independent
review of
[[Page 68529]]
our case-mix measurement methodology, Dr. Grabowski and his team at
Harvard University agreed with our reasons for not proposing targeted
reductions, stating their concerns about the small sample size of many
agencies and their findings of significant nominal case-mix across
different classes of agencies (please see the report located at https://www.cms.gov/center/hha.asp).
We note that although we have stated in past regulations that a
targeted system would be administratively burdensome, the reasons we
have just presented go beyond administrative complexity. Certain
comments seem to assume that the level of case-mix can precisely
identify those agencies practicing abusive coding. We do not agree with
the comments which seem to assume that agency-specific case-mix levels
can precisely differentiate agencies practicing abusive coding from
others. System wide, case-mix levels have risen over time while patient
characteristics data indicate little change in patient severity over
time. That is, the main problem is not the level of case-mix reached
over a period of time, but the amount of change in the billed case-mix
weights not attributable to underlying changes in actual patient
severity.
In addition, in this final rule, we are finalizing a revision to
the case-mix weights. As described in Section II.B., we are removing
two hypertension codes from our case-mix system which are not
associated with additional resource use and we are reducing weights for
episodes with high therapy while increasing weights for episodes with
no or low therapy. This revision to the case-mix weights should slow
future nominal case-mix growth and provide a more targeted approach for
addressing overpayment of services, while also improving the accuracy
of the HH PPS.
Comment: Some commenters stated that the payment cuts will make it
difficult for small agencies to exist, leaving a market that will only
be made up of large for-profit agencies. Other commenters stated that
from 2000 to 2008, for-profit and free-standing agencies saw their
nominal case-mix grow by approximately 3.5 percent to 4.0 percent more
than non-profit, government-owned and facility-based agencies.
Commenters attributed the difference in nominal case-mix growth to the
idea that for-profit agencies ``pick and choose'' their patients while
non-profit and government agencies tend to serve all patients needing
home health care. Commenters requested that CMS either forego the
proposed 5.06 percent adjustment or implement a two-tiered adjustment
factor, with a much lower payment reduction factor for non-profit,
government-owned and facility-based agencies.
Response: When looking at the case-mix growth by agency type, our
data shows high case-mix growth across all agency types. While for-
profit agencies' case-mix grew approximately 22.7 percent, the case-mix
average for non-profit agencies and government agencies also grew
considerably (17.8 percent and 17.5 percent). In addition, agencies
with less than 99 episodes had a case-mix growth of 20.1 percent from
2000 to 2009 and agencies with 100 or more episodes had a case-mix
growth of 24.8 percent from 2000 to 2009. These differences are not
large enough to warrant a tiered approach. We believe our proposal to
make across the board payment reductions is consistent with the data,
and making distinctions by type of agency would be inappropriate.
In addition, we acknowledge that our analyses and the analysis
conducted by the Harvard team revealed a difference in nominal case-mix
growth between for-profit agencies and non-profit/government agencies,
as cited by the commenter. However, all categories exhibited a large
amount of nominal case-mix growth, and differences among categories
were not large enough to warrant a tiered approach. In view of that
fact, making separate adjustments according to ownership category is
inadvisable because of concerns about equity and administrative
feasibility. We will continue to analyze the HH PPS to determine where
it may inadvertently incentivize the sort of selective admissions which
a commenter described and we will continue to analyze how we can
strengthen the HH PPS to increase payment accuracy while mitigating
risks which would incentivize such selective admissions.
Comment: Commenters stated that we should suspend or drop case-mix
adjustments because they will cause financial distress/bankruptcy among
agencies, particularly ``safety-net'' agencies that take patients other
agencies reject. Commenters further stated that the proposed payment
reductions will cause ``safety net'' providers to have a ``negative
operating margin'' and/or cause not-for-profit agencies to go out of
business.
Response: Identifying the agencies that commenters call ``safety-
net'' agencies is not feasible with our administrative data, so we
cannot provide any evidence either to support or refute assertions that
safety-net agencies are at greatest risk. Our analysis of margins of
not-for-profit agencies shows that they tend to have lower margins than
for-profit agencies. However, we do not agree that not-for-profit
agencies will necessarily be more likely to exit the home health
business than a for-profit agency. We believe the business decision is
a complex one with many considerations, such as the organization's
mission, the availability of alternate sources of funding, and whether
or not the organization is embedded in a larger one. These influential
factors are not necessarily associated with the non-profit or for-
profit status of an agency, and therefore, we cannot accurately predict
the business decision of an agency based solely on their status. In
addition, we refer the commenters to section IV where we describe the
impact of the provisions of this rule, including the revision of the
case-mix weights. Section IV shows that when taking into account all of
the provisions in this final rule, non-profit providers should
experience less of a negative impact than for-profit providers. Also,
in section IV, we describe our rationale why we believe access to
Medicare home health will not be adversely affected by our policies,
including the payment reductions.
Comment: Commenters stated that by implementing an across the board
payment cut, agencies who have been more profitable may survive while
agencies that have smaller margins may fail, thus potentially
preserving those who may be committing abuse.
Response: Existing information about Medicare margins and the CR
data we have analyzed suggest that most agencies will continue to have
positive margins on their Medicare business. With our revisions to the
case-mix weights, we expect the weight adjustments will reduce the
incentive to provide more therapy than is clinically indicated. To the
extent that profits are based on abusive behavior, we believe these
changes will mitigate the risks of abusive behavior. We also believe
the changes will result in more equitable revenues and profits.
Comment: Commenters stated that they believe that the case-mix
measurement methodology takes on the approach that all case-mix change
is nominal unless it can be proved otherwise.
Response: The evidence for nominal case-mix change is based on the
small amount of change in patients' characteristics generally, as
measured by patient demographics and information from the National
Claims History on home health patients. We summarized the change in
patients' characteristics in terms of the impact on the average case-
mix weight. In this analysis, the remainder of the change in
[[Page 68530]]
average case-mix weights is unexplained, and it is generally believed
that coding change is responsible. Our method to assess real and
nominal case-mix change is the most effective method available to us at
this time. We remind the commenter that we have presented various types
of other data in previous rulemaking consistent with the model-based
evidence indicating that home health care patients have not changed
much since the last 12 months of the Interim Payment System.
Comment: A commenter suggested that CMS ``adjust out all data from
active and closed settlement actions'' in their measurement of real and
nominal case-mix growth.
Response: We are unclear what the commenter is suggesting. As we
have noted previously, nominal case-mix growth is an across the board
issue. If the commenter is referring to recoupments which correspond to
claims denied after they were reviewed, such would typically be
reflected in the claims data we use in our case mix analysis. In the
case where a paid-claim dispute is still active, this data would likely
not have much effect on our determination of nominal case-mix growth.
Comment: Commenters requested that CMS increase its program
integrity efforts to combat fraud, waste, and abuse. Other commenters
stated that instead of implementing a payment reduction, CMS should
audit agencies that appear to be manipulating the case-mix system.
Commenters stated that we should eliminate the proposed payment
reductions and rather ``conduct targeted claims review and deny payment
for claims where the case-mix weight is not supported by the plan of
care.''
Response: We have taken various measures to reduce payment
vulnerabilities and the Federal government has launched actions to
directly identify fraudulent and abusive activities. Commenters should
be aware of tip lines available that can help support investigative
efforts of the Federal government. The Office of the Inspector General,
Department of Health and Human Services Web site at https://oig.hhs.gov/fraud/report-fraud/index.asp, provides information about how to report
fraud. Another Web site, https://www.stopmedicarefraud.gov/,
is oriented to Medicare patients and their families and provides
information about recognizing fraud.
In addition, while we appreciate the commenters' suggestion about
the targeted claims review, we cannot perform targeted claim review as
suggested, because our resources are not sufficient to conduct claims
review on a scale that would be required to counteract the broad-based
uptrend in case-mix weights.
Comment: A commenter stated that if the payment reduction is
implemented, the base rate will be less than at the start of the HH
PPS.
Response: When assessing the impact of the payment reductions, one
must also consider the effects of the case-mix weights. Section
1895(b)(3)(B)(iv) of the Act requires that payment adjustments in
response to nominal case-mix change be made to the rates. As such, we
must reduce the base rate to account for growth in nominal case-mix.
However, we note that we have not reduced the average case-mix weight
and the average case-mix weight has increased since the beginning of
the HH PPS. Therefore, even with the payment reductions to account for
nominal case-mix growth since the beginning of the HH PPS, the average
payment is projected to be higher for CY 2012 than the average payment
at the beginning of the HH PPS.
Comment: Commenters mentioned the Affordable Care Act study which
is investigating access to care issues and stated that the payment cuts
will only further exacerbate access to care issues for vulnerable
populations.
Response: We appreciate the commenter's concerns and wish to note
that our preliminary analysis suggests that vulnerable populations are
associated with case-mix groups involving lower levels of therapy, and
that we have adjusted weights upward for those lower-therapy case-mix
groups. For example, whereas the average number of therapy visits for
first episodes overall is 8.2 in 2009, the average for vulnerable
groups in various classifications (for example, high-poverty counties
or rural areas) ranged between 7.0 and 7.8. The impact analysis of this
rule indicates that rural agencies will experience a smaller reduction
overall than urban agencies. We note that rural agencies will continue
to receive a 3 percent payment add-on in CY 2012. We anticipate that
these aspects of the payment proposals will mitigate the risk of access
issues. We also wish to report that the Affordable Care Act study is
proceeding as planned. It will involve additional data gathering on
vulnerable populations and on potential access problems that vulnerable
beneficiaries may encounter in coming years. We will continue to
monitor for unintended consequences and we will seek information from
other government agencies, such as the Office of the Inspector General,
on access. Finally, we will use Open Door Forums and other venues to
solicit information from agencies on any actual access issues they
witness.
Comment: Commenters stated that the payment cuts will limit access
to care and hinder the effort to move to more community-based care.
Response: We do not believe this will be the case because payment
will remain adequate. Medicare has implemented policies to support
community-based care in other areas, such as hospital-readmissions and
transition programs authorized by the Affordable Care Act. We encourage
HHAs to partner with providers in their community to become a part of
these efforts, thereby assisting in the movement to more community-
based care.
Comment: Commenters also thought that the payment reductions would
lower quality of care.
Response: Commenters did not provide specific information about why
they believe payment reductions would lower quality of care. Our
simulation of margins under the payment policies in this rule suggests
that margins will remain adequate, and thereby support current levels
of quality. We also believe that policymaking in the quality
improvement area should help to ensure quality advances. OASIS-C
outcome reports and CAHPS data are two important recent developments
that we anticipate will support high-quality services. Over time,
value-based purchasing policies will be developed, further enhancing
quality-related incentives. We encourage agencies to work to their full
professional potential to deliver a high standard of care to their
patients.
Comment: Commenters were concerned that the proposed cuts would
impede access to home health care because many agencies would be forced
to close as a result of the lower payments. Commenters stated that if
the proposed cuts are implemented, many providers will be operating at
a negative or zero margins. A commenter stated that the reduction to
payment rates along with other cuts mandated by the Affordable Care Act
would cause over half of HHAs to be paid less than the cost of care to
Medicare patients. This commenter provided a chart which forecasts 2012
profit margins for each State should the proposed 5.06 percent
reduction to payments be finalized. The commenter further described
that six States and Guam would have more than 70 percent of their
agencies with negative margins in CY 2012 as a result of the reduction.
Specifically, the commenter described the States and the
[[Page 68531]]
corresponding percent of HHAs which would be forced into negative
margins as: Alaska 80 percent; Idaho 76.9 percent; North Dakota 91.7
percent; Oregon 96.2 percent; Vermont 70 percent; and Wisconsin 74.5
percent. Other commenters stated that the payment reductions place more
of a hardship on certain providers. The commenters stated that rural
locations would be hit the hardest. Commenters also stated that if the
proposed cuts take place, over 45 percent of Minnesota providers will
be operating at a zero or negative margin in 2012 and nearly 60 percent
in 2017. Other commenters stated that the Northeast has a significantly
lower rate of increase in case-mix growth than any other region.
Commenters stated that the payment reductions will differentially
impact different regions of the country and urged CMS to do a State-by-
State analysis.
Response: As we have noted in prior rules, we believe that a policy
of varying payment levels according to regional differences in nominal
case-mix change would be perceived as inequitable by beneficiaries.
That is, beneficiaries who might have access only to agencies subject
to larger payment reductions might believe Medicare's policies
disadvantage them unfairly.
Regarding the commenters' concerns about the effect of the proposed
reductions on providers' viability and the resultant access risks, we
note that in their March 2011 Report to Congress, MedPAC projected an
average of 14.5 percent margins for HHAs in 2011, when taking into
account various payment adjustments such as the CY 2011 payment
reduction for nominal case-mix growth. We also note that in proposing
the reductions, we analyzed the combined effects of all of the policies
proposed and believe that a 5.06 percent reduction would not impede
access to care. We believe that the margin analysis study submitted by
one of the commenters, which projected the impact of the proposed
policies on HHAs on a State-by-State basis, failed to take into account
the effects of all of the policies in the rule. The payment reduction
to the base rate is not the only policy affecting payment to HHAs
described in the proposed rule. The effects of the payment update, wage
index update and revision of case-mix weights also need to be taken
into account when assessing the impact of the proposed provisions. We
also believe that the commenter may have attempted to factor potential
future reductions to HH PPS payments into the 2012 margin forecast.
While the Affordable Care Act calls for CMS to rebase home health
payments beginning in 2014 and apply a productivity adjustment to the
yearly inflation increases beginning in 2015, the impact of these
provisions would be impossible to accurately project at this time.
Additionally, provisions that are targeted for implementation in 2014
and later would have no effect on CY 2012 provider margins. The
following discussion describes the impact if we were to implement a
5.06 percent payment reduction in CY 2012, taking into account all of
the policies in the rule. In the aggregate, HHAs would receive 3.52
percent less in payments in CY 2012 when compared to CY 2011 payments,
reflecting the net effect of a 1.4 percent HH PPS payment update
increase, a 0.03 percent payment increase resulting from the wage index
update, and a 5.06 percent reduction in payments to account for nominal
case-mix growth. We note that not all providers would experience a net
3.52 percent reduction in their payments if a 5.06 percent reduction in
payments was finalized for CY 2012. As we described in the proposed
rule and describe in this final rule, the revision of the case-mix
weights would have a re-distributional effect which benefits rural and
non-profit providers, and providers in certain areas of the country.
For example, in aggregate, if a 5.06 percent reduction in payments was
implemented for CY 2012, non-profit free-standing providers would
experience an estimated 0.91 percent reduction and for-profit free-
standing providers would experience an estimated 4.72 percent reduction
in payments. Rural providers would fare better than urban providers, as
rural non-profit freestanding providers would see an estimated 0.31
percent increase in payments. In response to the commenter who was
concerned about providers in the Northeast, we note that New England
providers are in an area of the country which would benefit from the
re-distributional effects of the recalibration. On average, New England
providers would experience an increase in payments in CY 2012.
We note that of the six States which the commenter contends would
have 70 percent or more providers experiencing negative margins as a
result of the payment reductions, five are in areas of the country
which would benefit from the re-distributional effect of the case-mix
weight revisions. In Table 1, we provide the estimated impact if we
were to finalize a 5.06 percent payment reduction with the other
policies in this final rule for purposes of addressing this comment.
[GRAPHIC] [TIFF OMITTED] TR04NO11.000
[[Page 68532]]
As shown in Table 1, the net effect of a 5.06 percent payment
reduction with all of the other provisions of the rule is that
providers from North Dakota, Oregon, and Vermont on average would
experience an estimated increase in payments in CY 2012 of 2.73
percent, 0.19 percent and 1.45 percent respectively, instead of the
national average, a 3.52 percent reduction in payments. Furthermore,
the net effect of a 5.06 percent payment reduction with all of the
other provisions of the rule is that providers from Guam on average
would experience an estimated increase in payments in CY 2012 of 0.11
percent.
In addition, the net effect of a 5.06 percent payment reduction
with all of the other provisions of the rule is that Alaska providers
and Wisconsin providers in the aggregate would experience an estimated
reduction in payments in CY 2012 of 0.81 percent and 2.68 percent
respectively, instead of the national average, a 3.52 percent reduction
in payments.
Table 1 shows that if we were to finalize a 5.06 percent payment
reduction, Idaho would experience an estimated 4.54 percent reduction
in payments in CY 2012, instead of the national average, a 3.52 percent
reduction in payments. However, the non-profit providers and the rural
providers in Idaho would experience an estimated reduction in payments
in CY 2012 of 1.37 percent and 2.06 percent respectively. Regarding the
commenters who expressed concern that a provider association reported
that close to half of Minnesota providers would experience negative
margins as a result of the proposed payment reductions, we disagree
with the provider association's conclusion. The net effect of a 5.06
percent payment reduction with all of the other provisions in the rule
is that Minnesota providers, on average, would experience an estimated
1.19 percent reduction in payments in CY 2012, instead of the national
average, a 3.52 percent reduction in payments.
Furthermore, preliminary 2009 CR analysis along with MedPAC's
projected margin analysis for 2011 suggest that providers in these
States have margins which are strong enough to absorb the proposed 5.06
percent payment reduction.
As stated above, we have concerns and questions about the
commenter's analyses. Specifically, we believe the commenter may have
not taken into consideration all of the provisions of this rule and
also may have included in the analyses potential future reductions to
HH PPS payments into the 2012 margin forecast (which are not applicable
to 2012), and therefore, overestimated the negative impact on
providers. We would like to note that industry margins have remained in
the mid-double digits in recent years, even in those years in which we
implemented similar net payment reductions. We also note that in this
final rule, as we describe in detail in the following response to a
comment, we are implementing the payment reduction over 2 years, rather
than the 1 year we originally proposed. We refer the commenters to
Section IV for the impacts of the policies we are finalizing in this
rule.
In addition, regarding the commenter's suggestion that we provide
State-level impacts which reflect the provisions of the rule, we again
refer the commenter to Section IV of this final rule where we describe
our State-level analysis for the policies we are finalizing in this
final rule. As we described in section IV, we believe that State-level
impacts would be misleading unless we also provided breakouts of rural-
verses-urban and ownership status of providers within the State.
Comment: Commenters described the burden which they have
experienced as a result of recent regulatory and legislative changes.
Specifically, commenters described the financial burdens surrounding
the Affordable Care Act face-to-face encounter mandate imposed on HHAs
and physicians. The commenters stated that HHAs and physicians have
needed to hire additional staff to track the face-to-face paperwork.
Additionally, commenters noted that the staff time spent tracking,
sending, and routing the required documentation, as well as tracking
appointments has also been costly for HHAs to absorb. In addition,
commenters described administrative burdens associated with the CY 2011
therapy provision which requires a qualified therapist, instead of a
therapy assistant, to perform the needed therapy service, as well as
assess, measure, and document the effectiveness of the therapy, at key
points during a course of therapy treatment. Another commenter stated
that payment cuts detract from agencies' ability to attract competent
staff. Other commenters stated that CMS should limit any single-year
rate reductions to no greater than a combined 2.5 percent. Some
commenters suggested CMS phase-in the proposed 5.06 percent adjustment
over a 2- to 3-year period. Commenters stated that a 5.06 percent rate
reduction is the largest ever imposed in a single year by CMS and
stated that the pay cut would have a significant impact as earlier
payment cuts have decreased provider margins. Another commenter was
concerned that the home health community would not be able to absorb
the cumulative effect of recent legislative and regulatory reductions.
Response: Our simulation analysis described in Section II.B, which
takes into account all of the proposed policies for 2012 (such as a
5.06 percent payment reduction and the revision of the case-mix
weights), projects that payment will exceed costs for all episodes,
except for episodes with 20+ therapy visits, of which more than 60
percent would have payment that exceeds their costs. We reiterate that
about 6 percent of episodes nationally in 2009 had 20 or more therapy
visits. Therefore, we believe that the payment cuts will not detract
from agencies' ability to attract staff. We also believe the payments
in excess of estimated costs will allow agencies to adapt to recent
legislative and regulatory requirements. However, we are sensitive to
the challenges HHAs may have had in adapting to the Affordable Care Act
provisions which were implemented in CY 2011, such as the face-to-face
encounter provision. We also agree that the Affordable Care Act
provisions and the CY 2011 therapy changes described by commenters
likely required HHAs to incorporate process changes to adhere to these
new requirements. As such, we are finalizing a phased-in implementation
of a 5.06 percent reduction over 2 years, as some commenters suggested.
We believe that by phasing-in the reductions over CY 2012 and CY 2013,
we allow HHAs an opportunity to adopt process efficiencies associated
with the CY 2011 mandates prior to imposing the full 5.06 percent
payment reduction.
In CY 2011 rulemaking, we proposed to apply a 3.79 percent
reduction to payments in CY 2011 and an additional 3.79 percent
reduction in CY 2012 to account for nominal case-mix growth we
identified through CY 2008. However, we deferred finalizing the CY 2012
reduction pending an independent review of our method for identifying
real case-mix growth. (That independent review has been completed, as
we reported in the CY 2012 HH PPS proposed rule.) Because we believe
that providers likely expected and planned for us to impose a 3.79
percent payment reduction in CY 2012, we are finalizing a 3.79 percent
reduction in CY 2012 and a 1.32 percent reduction for CY 2013. These
reductions enable us to account for the nominal case-mix which we have
identified through CY 2009, to follow through with the planned 3.79
percent reduction for CY2012, and to allow for HHAs' adopting process
efficiencies during CY 2012.
[[Page 68533]]
Comment: Commenters stated that HHAs should be allowed to test the
impact of the rate changes using 2011 data.
Response: Given the fact that we currently are in CY 2011, there is
not a full year of data from 2011 and we caution HHAs when using a
partial year's data in their analysis. In addition, due to the lag in
receiving claims, we did not have full data from 2010 when developing
the impacts for the CY 2011 HH PPS proposed rule. Therefore, the data
used to develop the impacts of our proposed policies are from 2009. We
plan to continue to assess the impacts of our policies once new
complete data are available. HHAs are welcome to test the impacts of
the rate changes on their data; however, when predicting the impacts,
it should be noted that all of the policies in the rule should be taken
into account (such as the wage index, rural add-on, and the revision of
the case-mix weights, and the payment reduction).
Comment: Commenters stated that the rate reductions may adversely
affect hospital-based HHAs. They stated that hospital-based HHAs
represent 80.9 percent of all providers nationwide with margins below
zero and that the Medicare margins which MedPAC presents, only
represents freestanding agencies and that hospital-based agencies have
lower, negative margins. Commenters stated that hospital-based home
care agencies are currently underpaid.
Response: Medicare CR data for hospital-based HHAs does indicate
that Medicare margins are lower than those of freestanding HHAs.
However, hospital-based HHAs do not account for most of home health
care, and there are data issues hindering understanding of hospital-
based HHAs' financial status. As stated in their March 2011 Report to
Congress, MedPAC focuses on freestanding agencies because they are the
majority of providers and because their costs do not reflect the sort
of allocation of overhead costs seen in facility-based providers'
Medicare CRs (MCR), such as hospital-based HHA MCRs. They explain that
in the case of hospitals, which often provide services that are paid
for by multiple Medicare payment systems, measures of payments and
costs for an individual sector could become distorted because of the
allocation of overhead costs or complementarities of services. Another
consideration is that Medicare's payment policies should cover the
costs of efficient providers. Therefore, given that the payment system
is prospective and not based on a provider's reasonable costs, we have
reason to question whether the problem, as stated by the commenter, is
that hospital-based agencies are underpaid.
Comment: Commenters stated that for those providers who do survive,
the cuts will hinder their ability to enhance technology and move to
electronic health records.
Response: A reduction in margins as a result of our payment changes
may have an effect on the availability of resources for various types
of investments. However, our analysis indicates that payments will be
more than adequate under our payment changes and would still allow for
investments. We do not have sufficient data to evaluate the effect on
technology-specific investments from the unusually large margins that
have been in existence under the HH PPS, but we welcome information
about whether the numerous agencies that operated with high margins
under the HH PPS made investments during those years, and the nature of
those investments.
Comment: Other commenters stated that CMS should suspend further
nominal case-mix adjustments until the rebasing of the HH PPS system
required by the Affordable Care Act. A commenter stated that CMS should
study the factors driving case-mix growth and analyze the differences
in growth by provider characteristics.
Response: We are finalizing payment reductions intended to account
for overpayments that were made because of nominal case-mix growth.
Since our analysis indicates that margins will remain adequate, and
since our analysis of rebasing is still in process, we see no reason to
defer nominal case-mix adjustments in this rule. We agree that more
data could be useful in understanding case-mix change, and we will
continue to solicit suggestions for reliable data that can be
incorporated in our studies.
Comment: Commenters urged CMS to commission studies to more
accurately estimate real and nominal case weight changes and to help
refine the case-mix to more closely align reimbursement with costs and
eliminate incentives. Commenters stated that CMS should work on
implementing a proper case-mix adjuster which accurately pays for all
home health services before implementing a payment reduction.
Response: The home health study under section 3131(d) of the
Affordable Care Act allows CMS to not only look at access for
vulnerable populations, but also look at other issues with the payment
system and payment vulnerabilities. In this study, we plan to examine
issues surrounding nominal case-mix growth and ways to better align
payment with patient needs. The Report to Congress describing the
findings of our study is projected to be available March 1, 2014. In
the meantime, while examining ways to better improve the case-mix
system, we believe that we need to address previous nominal case-mix
growth, and therefore, we plan to implement payment reductions.
Comment: A commenter recommended that CMS seek payment system
reforms that are value-based rather than implementing payment
reductions. The commenter noted that CMS should factor in the quality
of care before implementing payment reductions.
Response: Medicare's value-based purchasing initiatives in home
health will build upon current efforts in this area, including Outcome-
Based Quality Improvement and CAHPS, and the Value-based Purchasing
demonstration. As we develop and refine measures, and incorporate them
in payment policies, we will involve stakeholders. Further developing
value-based purchasing will take time, but commenters should be assured
that it is an important goal for Medicare. However, we cannot ignore
nominal case-mix growth in the interim and we believe we need to
account for nominal case-mix growth through 2009.
Comment: A commenter stated that the proposed payment cuts along
with the proposed case-mix weight changes will hinder agencies ability
to calculate their payment.
Response: We note that we are not making significant, structural
changes to our case-mix system. We are only revising the case-mix
weights. Also, we plan to implement a payment reduction similar to
previous payment reductions and have described the base rate payment in
the Regulatory Impact Analysis in Section IV of this final rule.
Therefore, we do not believe that the proposed policies will hinder
agencies' ability to calculate their payment.
Comment: Commenters stated that all of the payment adjustments are
based on a false assumption that clinicians and agencies have gamed the
system.
Response: As we have stated in previous regulations, changes and
improvements in coding are important in bringing about nominal coding
change. We believe nominal coding change results mostly from changed
coding practices, including improved understanding of the ICD-9 coding
system, more comprehensive coding, changes in the interpretation of
various items on the OASIS and in formal OASIS definitions, and other
evolving measurement issues. Our view of the causes of nominal coding
change does
[[Page 68534]]
not emphasize the idea that HHAs or clinicians in general gamed the
system. However, since our goal is to pay increased costs associated
with real changes in patient severity, and nominal coding change does
not demonstrate that underlying changes in patient severity occurred,
we believe it is necessary to exclude nominal case-mix effects that
cannot be shown to be related to changes in patient severity.
Comment: Commenters stated that CMS penalizes providers for
improved accuracy in patient assessment and coding. The commenters
contributed the increase in case-mix to increased accuracy of OASIS
answers and increased coding accuracy as a result of training of their
staff and/or the use of certified and trained coders.
Response: Comments referencing coding improvements, such as
increasing accuracy, do not recognize that such improvements are an
inappropriate basis for increased payment. We believe that measurable
changes in patient severity and patient need are appropriate bases for
changes in payment. Our analysis continues to find only small changes
in patient severity and need.
Comment: Commenters stated that the increase in case-mix weights is
due to HHAs complying with Medicare instructions regarding patient
coding ``consistent with the 2008 version of the HH PPS.''
Response: This comment is difficult to address because the
commenter does not cite specifically which documents constitute CMS-
issued Medicare instructions ``consistent with the 2008 version of the
HH PPS.'' Nor does the comment explain how the increase in case-mix
weights was driven by such CMS instructions. However, we believe our
release in late 2008 of a revision of Attachment D of the OASIS
Instruction Manual would not have had the effect suggested by the
comment. (Attachment D was intended to provide guidance on diagnosis
reporting and coding in the context of the HH PPS.) First, Attachment D
reiterated traditional CMS guidance about how to select diagnoses in
home health. Attachment D did not deviate from the fundamental and
longstanding instruction that reported diagnoses must be relevant to
the treatment plan and the progress or outcome of care and be
consistent with coding guidelines.
Comment: Commenters stated that CMS should look into alternative
ways to account for nominal case-mix changes. Commenters stated that
coordinated educations efforts can help control nominal case-mix
growth.
Response: Section 1895(b)(3)(B)(iv) of the Act gives CMS the
authority to implement payment reductions for nominal case-mix growth
by applying reductions to the base payment. The section does not allow
CMS the authority to account for nominal growth in ways other than
through payment reductions. We continue to explore ways to prevent
future nominal case-mix growth and we welcome any suggestions.
Comment: A commenter stated that the CMS methodology does not
recognize home health care's increasing ability to care for more
serious medical conditions in the home and ignores changes in patient
severity. We received a number of comments stating that home health
patients now have more complex conditions than previous populations of
home health patients and that such patients previously would have been
referred to health care facilities, but are now being cared for at
home. Moreover, the commenters stated that other healthcare settings
have developed stricter admission requirements, thereby increasing the
number of HHA patients with high severity levels. One commenter cited
as evidence diversion of patients to home care from inpatient
rehabilitation facilities (IRFs) due to the CMS 60 percent rule. In
addition, the commenters cited that there has been a nationwide
rebalancing of care in favor of community care settings leading to a
higher severity in home care admissions.
Response: Data we presented in the CY 2011 HH PPS final rule (75 FR
70379) indicate that hospital lengths of stay have been declining
slightly and lengths of stay in residential post-acute settings before
home health admission have increased between 2001 and 2008. We note
that the proportion of initial non-LUPA home health episodes preceded
by acute care within the previous 60 days has declined between 2001 and
2008, from 70.0 percent to 62.7 percent. This indicates more patients
are being admitted to HHAs from non-institutional settings (for
example, from the community). Also, post-acute institutional
utilization data perhaps consistent with the comment regarding
diversion of patients to the home care setting suggest a decline in
IRFs as a source of home health patients, but this decline may have
been partly offset by an increase in SNF utilization as a source. For
example, the proportion of initial episodes preceded by an IRF stay
that ended sometime during the 30 days before home health admission
declined by more than a percentage point in 2005 and declined another
1.6 percentage points by 2009, while the percentage preceded by a SNF
stay increased half a percentage point in 2005 and has remained above
the 2005 level through 2009, the latest year of complete data available
(based on a 10 percent beneficiary sample of initial, non-LUPA
episodes). We also note that in CY 2005, when CMS began enforcing the
IRF 60 percent rule, we initially saw an increase in knee joint
replacement patients admitted to home health following hospital
discharge. The 60 percent rule (previously, the 75 percent rule), is a
criterion used to define IRFs for them to receive payment as an IRF.
The rule requires that in at least 60 percent of cases an IRF admits
must have one or more selected conditions which have been established
as requiring the intensity of care provided in an IRF. However, more
current data (2007 and 2009) shows that the prevalence of knee joint
replacement patients in home health has dropped from the 2005 levels,
though the prevalence is slightly higher than in 2000. The prevalence
of hip joint replacement patients has dropped since 2000, as have hip
and femur fracture patients. Furthermore, we note that acute stays,
which normally precede stays in institutional post-acute care settings,
are decreasing in the stay histories of home health patients.
Therefore, we question whether there is any evidence showing an
increase in home health patient severity as a result of more patients
coming to home health as a result of diversion from IRF care.
Comment: Commenters stated that patient care capabilities are
changing in home health services and diagnostic-specific care protocols
allow targeting of patient populations. Commenters cited utilization of
interdisciplinary care providers to improve patient outcomes and to
provide best practice interventions, such as the prevention of falls.
The commenters further expanded on this idea by stating that there is a
movement towards a multidisciplinary approach to care and utilization
of broader ranges of therapy services to improve outcomes and that
evidence based best practices have improved patient outcome scores.
Response: To the extent that home care agency capabilities are
improving, we support such developments and we hope to see them
continue. This is an entirely different issue from whether the patient
population has changed to the degree as indicated b