Medicare Program; Calendar Year (CY) 2025 Home Health Prospective Payment System (HH PPS) Rate Update; HH Quality Reporting Program Requirements; HH Value-Based Purchasing Expanded Model Requirements; Home Intravenous Immune Globulin (IVIG) Items and Services Rate Update; and Other Medicare Policies, 88354-88485 [2024-25441]
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88354
Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
DEPARTMENT OF HEALTH AND
HUMAN SERVICES
Centers for Medicare & Medicaid
Services
42 CFR Parts 424, 483, and 484
[CMS–1803–F]
RIN 0938–AV28
Medicare Program; Calendar Year (CY)
2025 Home Health Prospective
Payment System (HH PPS) Rate
Update; HH Quality Reporting Program
Requirements; HH Value-Based
Purchasing Expanded Model
Requirements; Home Intravenous
Immune Globulin (IVIG) Items and
Services Rate Update; and Other
Medicare Policies
Centers for Medicare &
Medicaid Services (CMS), Department
of Health and Human Services (HHS).
ACTION: Final rule.
AGENCY:
This final rule will set forth
routine updates to the Medicare home
health payment rates; the payment rate
for the disposable negative pressure
wound therapy (dNPWT) devices; and
the intravenous immune globulin (IVIG)
items and services payment rate for CY
2025 in accordance with existing
statutory and regulatory requirements.
In addition, it finalizes changes to the
Home Health Quality Reporting Program
(HH QRP) requirements and provides an
update on potential approaches for
integrating health equity in the
Expanded Health Value Based
Purchasing (HHVBP) Model. It also
finalizes a new standard for an
acceptance-to-service policy in the HH
conditions of participation (CoPs).
Lastly, it updates provider and supplier
enrollment requirements and changes to
the long-term care reporting
requirements for acute respiratory
illnesses.
SUMMARY:
These regulations are effective
on January 1, 2025.
FOR FURTHER INFORMATION CONTACT:
Brian Slater, (410) 786–5229, for home
health and home IVIG payment
inquiries.
For general information about the
Home Health Prospective Payment
System (HH PPS), send your inquiry via
email to HomeHealthPolicy@
cms.hhs.gov.
For general information about the
IVIG Items and Services Payment, send
your inquiry via email to HIT_
IVIGpolicy@cms.hhs.gov.
For information about the Home
Health Quality Reporting Program (HH
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QRP), send your inquiry via email to
HHQRPquestions@cms.hhs.gov.
For more information about the
expanded Home Health Value-Based
Purchasing Model, please visit the
Expanded HHVBP Model web page at
https://innovation.cms.gov/innovationmodels/expanded-home-health-valuebased-purchasing-model.
Frank Whelan, (410) 786–1302, for
Medicare provider and supplier
enrollment inquiries.
Mary Rossi-Coajou at mary.rossicoajou@cms.hhs.gov or Molly Anderson
at molly.anderson@cms.hhs.gov, for
more information about the home health
conditions of participation (HH CoPs).
Kim Roche at kim.roche1@
cms.hhs.gov or Diane Corning at
diane.corning@cms.hhs.gov for
information about long term care facility
acute respiratory illness reporting.
SUPPLEMENTARY INFORMATION:
Table of Contents
I. Executive Summary and Issuance of the
Final Rule
A. Executive Summary
B. Issuance of the Proposed Rule
II. Home Health Prospective Payment System
A. Overview of the Home Health
Prospective Payment System
B. Monitoring the Effects of the
Implementation of PDGM
C. CY 2025 Final Rule Payment
Adjustments Under the HH PPS
D. CY 2025 Home Health Low Utilization
Payment Adjustment (LUPA)
Thresholds, Functional Impairment
Levels, Comorbidity Sub-Groups, CaseMix Weights, and Reassignment of
Specific ICD–10–CM Codes Under the
PDGM
III. Home Health Quality Reporting Program
(HH QRP)
A. Background and Statutory Authority
B. Summary of the Provision of This Final
Rule
C. Quality Measures Currently Adopted for
the CY 2024 HH QRP
D. Proposal To Collect Four New Items as
Standardized Patient Assessment Data
Elements and Modify One Item Collected
as a Standardized Patient Assessment
Data Element Beginning With the CY
2027 HH QRP
E. Proposal To Update OASIS All-Payer
Data Collection
F. Form, Manner, and Timing of Data
Submission Under the HH QRP
G. HH QRP Quality Measure Concepts
Under Consideration for Future Years—
Request for Information (RFI)
IV. The Expanded Home Health Value-Based
Purchasing (HHVBP) Model
A. Background
B. Request for Information on Future
Performance Measure Concepts for the
Expanded HHVBP Model
C. Future Approaches to Health Equity in
the Expanded HHVBP Model
D. Social Risk Factors
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E. Approaches to a Potential Health Equity
Adjustment for the Expanded HHVBP
Model
F. Other Health Equity Measures
V. Medicare Home Intravenous Immune
Globulin (IVIG) Items and Services
A. General Background
B. Scope of Expanded IVIG Benefit
C. Home IVIG Administration Items and
Services Payment
D. Home IVIG Items and Services Payment
Rate
VI. Home Health Agency Condition of
Participation (CoP) Changes and Long
Term Care (LTC) Facility Requirements
for Acute Respiratory Illness Reporting
A. Home Health Agency CoP Changes
B. Long-Term Care (LTC) Requirements for
Acute Respiratory Illness Reporting
VII. Provider Enrollment—Provisional Period
of Enhanced Oversight
A. Background
B. Provisional Period of Enhanced
Oversight (PPEO)
VIII. Collection of Information Requirements
A. Statutory Requirement for the
Solicitation of Comments
B. Information Collection Requirements
(ICRs)
IX. Regulatory Impact Analysis
A. Statement of Need
B. Overall Impact
C. Detailed Economic Analysis
D. Regulatory Review Cost Estimation
E. Alternatives Considered
F. Accounting Statements and Tables
G. Regulatory Flexibility Act (RFA)
H. Unfunded Mandates Reform Act
(UMRA)
I. Federalism
J. Conclusion
K. Waiver Fiscal Responsibility Act
Requirements
I. Executive Summary and Issuance of
the Final Rule
A. Executive Summary
1. Purpose and Legal Authority
a. Home Health Prospective Payment
System (HH PPS)
As required under section 1895(b) of
the Social Security Act (the Act), this
final rule updates the CY 2025 payment
rates for home health agencies (HHAs)
and the CY 2025 payment rate for
disposable negative pressure wound
therapy (dNPWT) devices. This rule
finalizes a crosswalk for mapping the
Outcome and Assessment Information
Set-D (OASIS–D) data elements to the
equivalent OASIS–E data elements for
use in the methodology to analyze the
difference between assumed versus
actual behavior change on estimated
aggregate expenditures and finalizes a
permanent adjustment to the CY 2025
home health base payment rate. In
addition, this rule finalizes the
recalibrated PDGM case-mix weights
and updates the low-utilization
payment adjustment (LUPA) thresholds,
functional impairment levels, and
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Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
comorbidity adjustment subgroups
under section 1895(b)(4)(A)(i) and
(b)(4)(B) of the Act for 30-day periods of
care in CY 2025; finalizes the proposal
to adopt the most recent Office of
Management and Budget (OMB) CoreBased Statistical Area (CBSA)
delineations for the home health wage
index; and finalizes an occupational
therapy (OT) LUPA add-on factor and
updates the physical therapy (PT),
speech-language pathology (SLP), and
skilled nursing (SN) LUPA add-on
factors. Additionally, this rule updates
the CY 2025 fixed-dollar loss ratio (FDL)
for outlier payments (so that outlier
payments as a percentage of estimated
total payments are projected not to
exceed 2.5 percent, as required by
section 1895(b)(5)(A) of the Act).
b. Home Health (HH) Quality Reporting
Program (QRP)
In accordance with the statutory
authority at section 1895(b)(3)(B)(v) of
the Act, we are finalizing updated
policies. We are finalizing a proposal to
add four new assessment items and
modify one assessment item on the
OASIS, update the removal of the
suspension of OASIS all payer data
collection and summarize public
feedback on future HH QRP quality
measure (QM) concepts.
c. Expanded Home Health Value-Based
Purchasing (HHVBP) Model
In accordance with the statutory
authority at section 1115A of the Act,
we are doing the following for the
expanded HHVBP Model: (1) providing
an update on potential approaches for
integrating health equity that are being
considered; and (2) summarizing
comments we received on a request for
information (RFI) related to potential
future performance measure concepts.
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d. Home Intravenous Immune Globulin
(IVIG) Items and Services
In section V.D.1. of this rule, we
finalize the rate for the CY 2025 IVIG
items and services payment under the
home intravenous immune globulin
(IVIG) benefit.
e. Home Health CoP Changes
In section VI.A. of this final rule, we
are finalizing a new standard at
§ 484.105(i) that will require HHAs to
develop, implement, and maintain an
acceptance-to-service policy that is
applied consistently to each prospective
patient referred for home health care. As
finalized, the policy must address, at
minimum, the following criteria related
to the HHA’s capacity to provide patient
care: the anticipated needs of the
referred prospective patient, the HHA’s
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case load and case mix, the HHA’s
staffing levels, and the skills and
competencies of the HHA staff. We also
finalized a policy that HHAs will be
required to make specified information
available to the public that is reviewed
whenever services are changed, and no
less often than annually.
f. Provider and Supplier Enrollment
Requirements
Section 1866(j)(3)(A) of the Act states
that the Secretary shall establish
procedures to provide for a provisional
period of between 30 days and 1 year
during which new providers and
suppliers—as the Secretary determines
appropriate, including categories of
providers or suppliers—will be subject
to enhanced oversight. We are finalizing
our proposal to expand the definition of
‘‘new provider or supplier’’ in
§ 424.527(a) (solely for purposes of
applying a provisional period of
enhanced oversight) to include
providers and suppliers that are
reactivating their Medicare enrollment
and billing privileges.
g. Long-Term Care (LTC) Facility
Requirements for Acute Respiratory
Illness Reporting
The current LTC requirements for
reporting COVID–19 related data expire
on December 31, 2024, except for
reporting COVID–19 resident and staff
vaccination status. Given the utility of
LTC facility data, we finalized a
requirement to replace these
requirements with streamlined
continued data reporting requirements
for certain respiratory illnesses. We are
also finalizing a requirement that LTC
facilities submit additional, related data
elements that could be activated in the
event of a future acute respiratory
illness public health emergency (PHE).
We are not finalizing our proposal to
increase data reporting if a significant
threat for a PHE for an acute infectious
illness exists.
2. Summary of the Provisions of This
Final Rule
a. Home Health Prospective Payment
System (HH PPS)
In section II.B.1. of this final rule, we
discuss comments related to the
monitoring and data analysis on PDGM
utilization.
In section II.C.1 of this final rule, we
finalize a permanent adjustment to the
base payment rate under the HH PPS.
Additionally, we finalize a crosswalk for
mapping the OASIS–D data elements to
the equivalent OASIS–E data elements
for use in the methodology to analyze
the difference between assumed versus
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88355
actual behavior change on estimated
aggregate expenditures.
In section II.D. of this final rule, we
recalibrate the CY 2025 home health
LUPA thresholds, case-mix weights, and
co-morbidity subgroups. Additionally,
we discuss providers’ suggestions
regarding the reassignment of specific
ICD–10–CM diagnosis codes under the
PDGM.
In section II.E. of this final rule, we
finalize a policy updating the home
health wage index using the new labor
market delineations from the July 21,
2023, OMB Bulletin No. 23–01 based on
data collected from the 2020 Decennial
Census. This section also includes the
CY 2025 national, standardized 30-day
period final payment rate, the final CY
2025 national per-visit payment
amounts updated by the home health
payment update percentage, and the
final OT, PT, SLP, and SN LUPA addon factors. The final home health
payment update percentage for CY 2025
is 2.7 percent. Additionally, this rule
finalizes the CY 2025 FDL ratio to
ensure that aggregate outlier payments
do not exceed 2.5 percent of the total
aggregate payments, as required by
section 1895(b)(5)(A) of the Act.
In section II.F.4. of this final rule, we
finalize the CY 2025 payment rate for
dNPWT devices.
b. Home Health Quality Reporting
Program (HH QRP)
In section III. of this final rule, we
finalize the collection of four new items
as standardized patient assessment data
elements in the social determinants of
health (SDOH) category and modify one
item collected as a standardized patient
assessment data element in the SDOH
category beginning with the CY 2027
HH QRP. The four assessment items
finalized for collection are: one Living
Situation item, two Food items, and one
Utilities item. We also finalize a policy
to modify the current Transportation
item beginning with the CY 2027 HH
QRP. We are also proposed an update to
the removal of the suspension of OASIS
all-payer data collection to change allpayer data collection to begin with the
start of care OASIS data collection
timepoint instead of discharge
timepoint. Lastly, we seek input on
future HH QRP measure concepts.
c. Expanded Home Health Value Based
Purchasing (HHVBP) Model
In section IV. of this final rule, we
summarize comments received on an
RFI related to future measure concepts
for the expanded HHVBP Model. We are
also including an update to the RFI,
‘‘Future Approaches to Health Equity in
the Expanded HHVBP Model,’’ that was
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published in the CY 2023 HH PPS final
rule (87 FR 66874, November 4, 2022)
and subsequently updated in the CY
2024 HH PPS final rule (88 FR 77687,
November 13, 2023).
d. Home Intravenous Immune Globulin
(IVIG) Items and Services
In section V.D.1. of this final rule, we
finalize the CY 2025 IVIG items and
services payment rate under the home
intravenous immune globulin (IVIG)
benefit.
e. Home Health CoP Changes
In section VI.A. of this final rule, we
finalized a new standard at § 484.105(d)
that will require HHAs to develop,
implement, and maintain an
acceptance-to-service policy that is
applied consistently to each prospective
patient referred for home health care.
We have also finalized a requirement
that the policy must address, at
minimum, the following criteria related
to the HHA’s capacity to provide patient
care: the anticipated needs of the
referred prospective patient, the HHA’s
case load and case mix, the HHA’s
staffing levels, and the skills and
competencies of the HHA staff. We also
finalized a requirement that HHAs make
specified information available to the
public that is reviewed at least annually.
In the proposed rule, we sought public
comments on other factors that
influence the patient referral and intake
processes. In this final rule, we
summarize comments received.
f. Provider and Supplier Enrollment
Requirements
Section 1866(j)(3)(A) of the Act states
that the Secretary may establish
procedures to provide for a provisional
period of between 30 days and 1 year
during which new providers and
suppliers—as the Secretary determines
appropriate, including categories of
providers or suppliers—will be subject
to enhanced oversight. We are finalizing
our proposal to expand the definition of
‘‘new provider or supplier’’ (solely for
purposes of applying a PPEO) to include
providers and suppliers that are
reactivating their Medicare enrollment
and billing privileges.
g. Long-Term Care (LTC) Requirements
for Acute Respiratory Illness Reporting
The current LTC requirements for
reporting COVID–19 related data expire
on December 31, 2024, except for
reporting COVID–19 resident and staff
vaccination status. Given the utility of
LTC facility data, we finalized to replace
these requirements with streamlined
continued data reporting requirements
for certain respiratory illnesses. We are
also finalizing additional, related data
elements that could be activated in the
event of a future acute respiratory
illness PHE. We are not finalizing our
proposal to increase data reporting if a
significant threat for a PHE for an acute
infectious illness exists.
3. Summary of Costs, Transfers, and
Benefits
TABLE 1: SUMMARY OF COSTS, TRANSFERS, AND BENEFITS
Costs and Cost Savin2s
*The estimated 1.8 percent decrease
related to the finalized behavior
assumption adjustment includes all
payments, while the finalized -1.975
percent BA adjustment only applies to
the national, standardized 30-Day period
payments and does not impact payments
for 30-dav periods which are LUPAs.
The total economic impact of these
proposals including the addition of one
Living Situation item, two Food items,
and one Utilities item, and the
modification of the current
Transportation item fmalized for
implementation in CY 2027 is an
estimated increase of $12,604,894.62
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Transfers
The overall economic impact related to
the changes in payments under the HH
PPS for CY 2025 is estimated to be $85
million (0.5 percent). The $85 million
increase in estimated payments for CY
2025 reflects the effects of the CY 2025
finalized home health payment update
percentage of 2. 7 percent ($460 million
increase), an estimated 1.8 percent
decrease* that reflects the effects of the
permanent behavior assumption
adjustment ($305 million decrease) and
an estimated O.4 percent decrease that
reflects the effects of an updated FDL
($70 million decrease).
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Benefits
To ensure that home health payments are
consistent with statutory payment authority
for CY 2025.
Collection of the new SDOH items will also
permit us to develop the statistical tools
necessary to maximize the value of
Medicare data, reducing costs and
improving the quality of care for all
beneficiaries.
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Provision Description
CY 2025 HH PPS
Payment Rate Update
Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
Provision Description
Expanded HHVBP
Model
Costs and Cost Savin~s
Transfers
There are no transfers related to the RFI
or the health emergency (HE) update.
CY 2025 Home IVIG
Items and Services
Payment Rate Update
Home Health CoP
Changes
The overall economic impact for CY
2025 is an estimated increase of
$250,000 in total costs to Medicare feefor-service (FFS).
To develop, implement, and maintain
through an annual review the
acceptance-to-service policy, we
expect a one-time cost to develop the
policy at a total of$6,156,799 for all
HHA's and$ $395,800 for an annual
review.
No transfers related to this policy.
88357
Benefits
The purpose of the RFI and HE updates is
to obtain feedback on potential new
performance measures and measure
concepts for potential future rulemaking.
To update the items and services payment
under the home intravenous immune
globulin benefit in accordance with section
4134 of the Consolidated Appropriations
Act, 2023 (CAA, 2023).
To improve the referral process and reduce
avoidable care delays by helping to ensure that
referring entities and patients+ can select the
most appropriate HHA based on their care
needs and to make this information available
to the public.
To make specified information
publicly available, we estimate a
onetime cost of$199,430 for all
HHA's and $398,860 to update the
oolicv 6 times oer vear.
Long-Term Care
(LTC) Requirements
for Acute Respiratory
Illness Reporting
To review and update the facility's
infection control policies and
procedures we estimate a cost of
$182 per LTC facility. To
electronically report the required
data, we estimate costs ranging
from $4,732 to $33,215 per LTC
facility depending on the required
reporting frequency as determined
by the Secretary. The low estimate
is based on weekly reporting and
the high estimate is based on daily
reporting. In total, we estimate costs
ranging from $4,914 to $33,397 per
LTC facility to comply with the
finalized requirements.
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B. Issuance of the Proposed Rule
The proposed rule, titled ‘‘Medicare
Program; Calendar Year (CY) 2025
Home Health Prospective Payment
System (HH PPS) Rate Update; HH
Quality Reporting Program
Requirements; HH Value-Based
Purchasing Expanded Model
Requirements; Home Intravenous
Immune Globulin (IVIG) Items and
Services Rate Update; and Other
Medicare Policies,’’ appeared in the
Federal Register on July 3, 2024 (89 FR
55312) (hereinafter referred to as the CY
2025 HH PPS proposed rule or July 2024
proposed rule).
The proposed rule set forth proposed
payment and policy changes to the
Medicare Home Health prospective
payment system for CY 2025, proposed
changes regarding other programs and
policies, as well as solicited comments.
In the sections of the rule that follow,
we will present the proposed policies
and summarize and respond to the
public comments received.
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No transfers related to this policy.
II. Home Health Prospective Payment
System
A. Overview of the Home Health
Prospective Payment System
1. Statutory Background
Section 1895(b)(1) of the Act requires
the Secretary to establish a Home Health
Prospective Payment System (HH PPS)
for all costs of home health services
paid under Medicare. Section 1895(b)(2)
of the Act requires that, in defining a
prospective payment amount, the
Secretary will consider an appropriate
unit of service and the number, type,
and duration of visits provided within
that unit, potential changes in the mix
of services provided within that unit
and their cost, and a general system
design that provides for continued
access to quality services. In accordance
with the statute, as amended by the
Balanced Budget Act of 1997 (BBA)
(Pub. L. 105–33), we issued a final rule
which appeared in the July 3, 2000,
Federal Register (65 FR 41128) to
implement the HH PPS legislation.
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To strengthen CMS' ability to detect and
deter Medicare fraud, waste, and abuse by
reactivating providers and suppliers.
To continue national monitoring of
COVID-19, Influenza, and respiratory
syncytial virus (RSV) cases to guide
infection control interventions and L TC
facility operations that directly relate to
resident safety; monitor emerging and
evolving respiratory illnesses; guide and
motivate community-level disease control
interventions; and enhance preparedness
and resiliency to improve health system
responses to future threats, including
pandemics that pose catastrophic risks to
resident safety and the health care system.
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 home health agencies
(HHAs) to submit data for purposes of
measuring health care quality, and
linking the quality data submission to
the annual applicable home health
payment update percentage increase.
This data submission requirement is
applicable for CY 2007 and each
subsequent year. If an HHA does not
submit quality data, the home health
market basket percentage increase is
reduced by 2 percentage points. In the
November 9, 2006, Federal Register (71
FR 65935), we issued 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. The payfor-reporting requirement was
implemented on January 1, 2007.
Section 51001(a)(1)(B) of the
Bipartisan Budget Act of 2018 (BBA of
2018) (Pub. L. 115–123) amended
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Provider Enrollment
Provisions
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Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
section 1895(b) of the Act to require a
change to the home health unit of
payment to 30-day periods beginning
January 1, 2020. Section 51001(a)(2)(A)
of the BBA of 2018 added a new
subclause (iv) under section
1895(b)(3)(A) of the Act, requiring the
Secretary to calculate a standard
prospective payment amount (or
amounts) for 30-day units of service
furnished that end during the 12-month
period beginning January 1, 2020, in a
budget neutral manner, such that
estimated aggregate expenditures under
the HH PPS during CY 2020 are equal
to the estimated aggregate expenditures
that otherwise will have been made
under the HH PPS during CY 2020 in
the absence of the change to a 30-day
unit of service. Section 1895(b)(3)(A)(iv)
of the Act requires that the calculation
of the standard prospective payment
amount (or amounts) for CY 2020 be
made before the application of the
annual update to the standard
prospective payment amount as
required by section 1895(b)(3)(B) of the
Act.
Additionally, section 1895(b)(3)(A)(iv)
of the Act requires that in calculating
the standard prospective payment
amount (or amounts), the Secretary
must make assumptions about behavior
changes that could occur as a result of
the implementation of the 30-day unit of
service under section 1895(b)(2)(B) of
the Act and case-mix adjustment factors
established under section 1895(b)(4)(B)
of the Act. Section 1895(b)(3)(A)(iv) of
the Act further requires the Secretary to
provide a description of the behavior
assumptions made in notice and
comment rulemaking. CMS finalized
these behavior assumptions in the CY
2019 HH PPS final rule with comment
period (83 FR 56461).
Section 51001(a)(2)(B) of the BBA of
2018 also added a new subparagraph (D)
to section 1895(b)(3) of the Act. Section
1895(b)(3)(D)(i) of the Act requires the
Secretary annually to determine the
impact of differences between assumed
behavior changes, as described in
section 1895(b)(3)(A)(iv) of the Act, and
actual behavior changes on estimated
aggregate expenditures under the HH
PPS with respect to years beginning
with 2020 and ending with 2026.
Section 1895(b)(3)(D)(ii) of the Act
requires the Secretary, at a time and in
a manner determined appropriate,
through notice and comment
rulemaking, to provide for one or more
permanent increases or decreases to the
standard prospective payment amount
(or amounts) for applicable years, on a
prospective basis, to offset for such
increases or decreases in estimated
aggregate expenditures, as determined
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under section 1895(b)(3)(D)(i) of the Act.
Additionally, section 1895(b)(3)(D)(iii)
of the Act requires the Secretary, at a
time and in a manner determined
appropriate, through notice and
comment rulemaking, to provide for one
or more temporary increases or
decreases to the payment amount for a
unit of home health services for
applicable years, on a prospective basis,
to offset for such increases or decreases
in estimated aggregate expenditures, as
determined under section
1895(b)(3)(D)(i) of the Act. Such a
temporary increase or decrease shall
apply only with respect to the year for
which such temporary increase or
decrease is made, and the Secretary
shall not take into account such a
temporary increase or decrease in
computing the payment amount for a
unit of home health services for a
subsequent year. Finally, section
51001(a)(3) of the BBA of 2018 amends
section 1895(b)(4)(B) of the Act by
adding a new clause (ii) to require the
Secretary to eliminate the use of therapy
thresholds in the case-mix system for
CY 2020 and subsequent years.
Division FF, section 4136 of the
Consolidated Appropriations Act, 2023
(CAA, 2023) (Pub. L. 117–328) amended
section 1834(s)(3)(A) of the Act to
require that, beginning with 2024, the
separate payment for furnishing
negative pressure wound therapy
(NPWT) be for just the device and not
for nursing and therapy services.
Payment for nursing and therapy
services are to be included as part of
payments under the HH PPS. The
separate payment for 2024 was required
to be equal to the supply price used to
determine the relative value for the
service under the Medicare Physician
Fee Schedule (as of January 1, 2022) for
the applicable disposable device
updated by the percentage increase in
the Consumer Price Index for All Urban
Consumers (CPI–U). The separate
payment for 2025 and each subsequent
year is to be the payment amount for the
previous year updated by the percentage
increase in the CPI–U (United States
city average) for the 12-month period
ending in June of the previous year
reduced by the productivity adjustment
as described in section
1886(b)(3)(B)(xi)(II) of the Act for such
year. The CAA, 2023 also added section
1834(s)(4) of the Act to require that
beginning with 2024, as part of
submitting claims for the separate
payment, the Secretary shall accept, and
process claims submitted using the type
of bill that is most commonly used by
home health agencies to bill services
under a home health plan of care.
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2. Current System for Payment of Home
Health Services
For home health periods of care
beginning on or after January 1, 2020,
Medicare makes payment under the HH
PPS on the basis of a national,
standardized 30-day period payment
rate that is adjusted for case-mix and
area wage differences in accordance
with section 51001(a)(1)(B) of the BBA
of 2018. The national, standardized 30day period payment rate includes
payment for the six home health
disciplines (skilled nursing, home
health aide, physical therapy, speechlanguage pathology, occupational
therapy, and medical social services).
Payment for non-routine supplies (NRS)
is also part of the national, standardized
30-day period rate. Durable medical
equipment (DME) provided as a home
health service, as defined in section
1861(m) of the Act, is paid the fee
schedule amount or is paid through the
competitive bidding program and such
payment is not included in the national,
standardized 30-day period payment
amount. Additionally, the 30-day period
payment rate does not include payment
for certain injectable osteoporosis drugs
and disposable negative pressure wound
therapy (dNPWT) devices, but such
drugs and devices must be billed by the
HHA while a patient is under a home
health plan of care, as the law requires
consolidated billing of osteoporosis
drugs and dNPWT devices.
To better align payment with patient
care needs and to better ensure that
clinically complex and ill beneficiaries
have adequate access to home health
care, in the CY 2019 HH PPS final rule
with comment period (83 FR 56406), we
finalized case-mix methodology
refinements through the Patient-Driven
Groupings Model (PDGM) for home
health periods of care beginning on or
after January 1, 2020. The PDGM did not
change eligibility or coverage criteria for
Medicare home health services, and as
long as the individual meets the criteria
for home health services as described at
42 CFR 409.42, the individual can
receive Medicare home health services,
including therapy services. For more
information about the role of therapy
services under the PDGM, we refer
readers to the Medicare Learning
Network (MLN) Matters article SE20005
available at https://www.cms.gov/
regulations-and-guidanceguidance
transmittals2020-transmittals/se20005.
To adjust for case-mix for 30-day
periods of care beginning on and after
January 1, 2020, the HH PPS uses a 432category case-mix classification system
to assign patients to a home health
resource group (HHRG) using patient
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characteristics and other clinical
information from Medicare claims and
the Outcome and Assessment
Information Set (OASIS) assessment
instrument. These 432 HHRGs represent
the different payment groups based on
five main case-mix categories under the
PDGM, as shown in figure 1. Each
HHRG has an associated case-mix
weight that is used in calculating the
payment for a 30-day period of care. For
periods of care with visits less than the
low-utilization payment adjustment
88359
of the different PDGM payment groups
by regressing resource use for each of
the five categories (admission source,
timing, clinical grouping, functional
impairment level, and comorbidity
adjustment) using a fixed effects model.
A detailed description of each of the
case-mix variables under the PDGM
have been described previously, and we
refer readers to the CY 2021 HH PPS
final rule (85 FR 70303 through 70305).
(LUPA) threshold for the HHRG,
Medicare pays national per-visit rates
based on the discipline(s) providing the
services. Medicare also adjusts the
national standardized 30-day period
payment rate for certain intervening
events that are subject to a partial
payment adjustment. For certain cases
that exceed a specific cost threshold, an
outlier adjustment may also be
available.
Under this case-mix methodology,
case-mix weights are generated for each
Admission Source and Timing (From Claims)
I
In·, tit u t1 ,) nal
Earlv
Conm1:1n1tv
La~o
Con1r1'u111tv
Ear Iv
lnstitutiondi
l,cttE•
Clinical Grouping (From Principal Diagnosis Reported on Claim)
Cnmp1,,~
NPLHO
f~c-t-:;:ib
MMTA Surq1c al
.4tti:~ re t7 re
MMTA. -
c ._ird 1cF:
d
Nu,~irq
lntctvc:nt1ons
r••s
8r-h,iv10•,1I
MMT/1 -
Pehab
Hi~.cilth
Oth.,,,t
MMT.4 -
MMTA-
Endocrmc
e,1,•'GU
MMTA, In f,_,r: t I(' LI:,
I
nd
C1rculc1tcr·,t
D1::.r_1 ,J':.c~
Functional Impairment Level (From OASIS Items)
Medium
High
Cornorbidity Adjustment (From Secondar~l Diagnoses
Reported on Claims)
:
High
None
I
HHRG
(Home Health Resource Group)
B. Monitoring the Effects of the
Implementation of PDGM
1. Routine PDGM Monitoring
The CY 2025 HH PPS proposed rule
included analysis of Medicare home
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Jkt 265001
health benefit utilization, including
overall total 30-day periods of care and
average periods of care per HHA user;
distribution of the type of visits in a 30day period of care; the percentage of
periods that receive the LUPA;
PO 00000
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estimated costs; the percentage of 30day periods of care by clinical group,
comorbidity adjustment, admission
source, timing, and functional
impairment level; and the proportion of
30-day periods of care with and without
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FIGURE 1: CASE-MIX VARIABLES IN THE PDGM
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Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
any therapy visits, nursing visits, and/
or aide/social worker visits. We also
included monitoring of home health
visits using telecommunications
technology and remote patient
monitoring, which we began collecting
on claims submitted voluntarily
beginning January 1, 2023, and which
was required beginning July 1, 2023.
Comment: Overall, commenters
discussed the home health utilization
trends presented in the monitoring
concurrently with comments regarding
access to the benefit and generally
stated that they believe a decline in
utilization is not related to a reduced
need for home health services. These
commenters encouraged CMS to
develop policies that ensure that the
PDGM does not continue to affect access
to care as indicated by these declining
utilization trends. A commenter also
suggested CMS expand data collection
to include geographic, racial, ethnic,
socio-economic, sexual orientation, and
gender identity to highlight disparities
in home health care services.
Response: We will continue to
monitor and analyze home health trends
and vulnerabilities within the home
health payment system and appreciate
the commenter’s suggestion for
additional monitoring. We respond to
comments discussing declining trends
in utilization as they relate to access to
care in our discussion in section B.1.f.
of this final rule, and refer readers to
that discussion.
C. CY 2025 Final Rule Payment
Adjustments Under the HH PPS
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1. Finalized Behavior Assumption
Adjustments Under the HH PPS
a. Background
As discussed in section II.A.1. of this
final rule, starting in CY 2020, the
Secretary was required by section
1895(b)(2)(B) of the Act to change the
unit of payment under the HH PPS from
a 60-day episode of care to a 30-day
period of care. CMS was also required
to make assumptions about behavior
changes that could occur as a result of
the implementation of the 30-day unit of
payment and the case-mix adjustment
factors that eliminated the use of
therapy thresholds. In the CY 2019 HH
PPS final rule with comment period (83
FR 56455), we finalized three behavior
change assumptions which were also
described in the CY 2022 and 2023 HH
PPS rules (86 FR 35890, 87 FR 37614,
and 87 FR 66795 through 66796). In the
CY 2020 HH PPS final rule with
comment period (84 FR 60519), we
included these behavioral change
assumptions in the calculation of the
30-day budget neutral payment amount
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for CY 2020, finalizing a negative 4.36
percent behavior change assumption
adjustment (‘‘assumed behaviors’’). We
did not propose any changes for CYs
2021 and 2022 relating to the behavior
assumptions finalized in the CY 2019
HH PPS final rule with comment period,
or to the negative 4.36 percent behavior
change assumption adjustment,
finalized in the CY 2020 HH PPS final
rule with comment period.
In the CY 2023 HH PPS final rule (87
FR 66796), we stated, based on our
annual monitoring at that time, the three
assumed behavior changes did occur as
a result of the implementation of the
PDGM and that other behaviors, such as
changes in the provision of therapy and
changes in functional impairment levels
also occurred. We also reminded readers
that in the CY 2020 HH PPS final rule
with comment period (84 FR 60513), we
stated we interpret actual behavior
changes to encompass both behavior
changes that were previously outlined
as assumed by CMS, and other behavior
changes not identified at the time the
budget-neutral 30-day payment rate for
CY 2020 was established. In the CY
2023 HH PPS final rule (87 FR 66796),
we provided supporting evidence that
indicated the number of therapy visits
declined in CYs 2020 and 2021, as well
as a slight decline in therapy visits
beginning in CY 2019 after the
finalization of the removal of therapy
thresholds, but prior to implementation
of the PDGM. In section II.B.1. of the CY
2025 HH PPS proposed rule (89 FR
55318), our analysis continued to show
overall the actual 30-day periods are
similar to the simulated 30-day periods
and there continues to be a decline in
therapy visits, indicating that HHAs
changed their behavior to reduce
therapy visits. Although the analysis
demonstrates evidence of individual
behavior changes (for example, in the
volume of visits for LUPAs, therapy
sessions, etc.), we use the entirety of the
behaviors in order to calculate estimated
aggregate expenditures. The law
instructs us to ensure that estimated
aggregate expenditures under the PDGM
are equal to the estimated aggregate
expenditures that otherwise will have
been made under the prior system.
Section 4142(a) of the CAA, 2023
required CMS to present, to the extent
practicable, a description of the actual
behavior changes occurring under the
HH PPS from CYs 2020–2026. This
subsection of the CAA, 2023 also
required CMS to provide datasets
underlying the simulated 60-day
episodes and discuss and provide time
for stakeholders to provide input and
ask questions on the payment rate
development for CY 2023. CMS
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complied with these requirements by
posting online both the supplemental
limited data set (LDS) and descriptive
files and the description of actual
behavior changes that affected CY 2023
payment rate development.
Additionally, on March 29, 2023, CMS
conducted a webinar entitled ‘‘Medicare
Home Health Prospective Payment
System (HH PPS) Calendar Year (CY)
2023 Behavior Change Recap, 60-Day
Episode Construction Overview, and
Payment Rate Development.’’ The
webinar was open to the public and
discussed the actual behavior changes
that occurred upon implementation of
the PDGM, our approach used to
construct simulated 60-day episodes
using 30-day periods, payment rate
development for CY 2023, and
information on the supplemental data
files containing information on the
simulated 60-day episodes and actual
30-day periods used in calculating the
permanent adjustment to the payment
rate. Materials from the webinar,
including the presentation and the CY
2023 descriptive statistics from the
supplemental LDS files, containing
information on the number of simulated
60-day episodes and actual 30-day
periods in CY 2021 that were used to
construct the permanent adjustment to
the payment rate, as well as information
such as the number of episodes and
periods by case-mix group, case-mix
weights, and simulated payments, can
be found on the Home Health PatientDriven Groupings Model web page at
https://www.cms.gov/medicare/
medicare-fee-for-service-payment/
homehealthpps/hh-pdgm.
b. Method To Annually Determine the
Impact of Differences Between Assumed
Behavior Changes and Actual Behavior
Changes on Estimated Aggregate
Expenditures
In the CY 2023 HH PPS final rule (87
FR 66804), we finalized the
methodology to evaluate the impact of
the differences between assumed and
actual behavior changes on estimated
aggregate expenditures. In the CY 2024
HH PPS final rule (88 FR 77687 through
77688), we provided an overview of the
methodology with detailed instructions
for each step. The overall methodology
as finalized remains the same for
evaluating the impact of behavior
changes as required by law; however,
due to an update of the Outcome and
Assessment Information Set (OASIS)
instrument, we need to update two
minor technical parts and in the CY
2025 proposed rule, proposed to add
new assumptions in the first step
(creating simulated 60-day episodes
from 30-day periods). These new
E:\FR\FM\07NOR2.SGM
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Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
assumptions are described in this
section.
Section 1895(b)(3)(B)(v) of the Act
requires HHAs to report certain quality
data. As described in regulation at 42
CFR 484.250(a), this data is required to
be reported using the OASIS
instrument. Under the prior 153-group
system (and the first three years for
assessments associated with the PDGM
completed prior to CY 2023), HHAs
submitted the OASIS–D version.
However, OMB approved an updated
version of the OASIS instrument,
OASIS–E, on November 30, 2022,
effective January 1, 2023. Thus, OASIS–
E is the current version of the OASIS
instrument used in the PDGM. The valid
OMB control number for this
information collection is 0938–1279.
88361
There are 13 items from the OASIS–
D used in the 153-group system that are
included in the OASIS–E; however, the
responses for these items are now only
recorded at the start of care (SOC) or
resumption of care (ROC) assessments
in the OASIS–E and not at all for
OASIS–E follow-up assessments as
shown in the following figure 2.
FIGURE 2: ITEMS ASKED ON SOC/ROC AND NOT FOLLOW-UP ON OASIS-E
Three items in the OASIS–E differ
slightly from the OASIS–D by
incorporating more specific questions
and responses than in the OASIS–D.
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These three items, as shown in figure 3,
ask about therapies (M1030), vision
(M1200), and the frequency of pain
interfering with activity (M1242).
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Additionally, these items are only asked
at SOC/ROC and not at follow-up in the
OASIS–E.
E:\FR\FM\07NOR2.SGM
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ER07NO24.003
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Note: We only show the assessment prompt for these 13 items. Each item listed has associated responses which can
be found in the OASIS Manual, located at https://www.cms.gov/medicare/quality/home-health/oasis-user-manuals.
88362
Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
FIGURE 3: OASIS-D ITEMS THAT DIFFER FROM OASIS-E
(111131) ThtnlplN the palant receivN athome: (118rk el 1Ud applJ.)
0
0
0
0
1 • lntraVenoUI or rnfualDn llerap)' (a:ludes TPN)
2 • Parenteral nutrition (TPN or Rpldl)
3 • ~ nutdllon (naeoptllic. gl8fl0St0my, jeJunoltomy. or any ottierartlldal entry tnto b
almentary Cllllftll)
4 • .Noneofbabove
o
Patlelilt has no pem
Patient•palnttatdoelnotinletferewlhacM.yor~
less often thin dally
Dally. bl.It not oonstall)l
Alofthetfme.
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Jkt 265001
then we proposed to not impute the 13
items. If the simulated 60-day episode
matches to a follow-up assessment, then
we proposed to look back for the most
recent 30-day period that is linked to a
SOC or ROC assessment and impute the
13 responses for follow-up using the
responses at the most recent SOC or
ROC assessment. We proposed that we
would limit the look-back period to the
beginning of the calendar year that
precedes the calendar year for the claim.
For example, for a simulated 60-day
episode with a follow-up assessment on
June 1, 2023, we would look back for a
30-day period linked to a SOC or ROC
assessment that began on or after
January 1, 2022. If we cannot find a SOC
or ROC assessment in that time period,
we proposed to exclude the claim from
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analysis because we would not have
sufficient timely data to impute
responses.
• If the simulated 60-day episode
matches to an OASIS–D assessment,
then we proposed to use the OASIS–D
for responses. If the simulated 60-day
episode matches to an OASIS–E
assessment, we proposed applying the
following mapping for the therapies,
vision, and pain items to impute
responses as these responses are
required for accurate payment
calculation under the prior 153-group
system. We also proposed applying the
look-back period (that is, beginning of
the calendar year that precedes the
calendar year for the claim) as described
in the assumption above, when
necessary, when mapping claims.
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ER07NO24.004
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To continue with our finalized
methodology and create simulated 60day episodes under the 153-group case
mix system from 30-day periods under
the PDGM, we need to impute the
OASIS–D responses when we only have
an OASIS–E available. For each of the
three items, we considered the clinical
relationship between the responses in
the OASIS–E items that differ from the
OASIS–D items. CMS also considered
the response distribution between the
OASIS–D and OASIS–E items when
creating the mapping of the responses.
CMS proposed the following two
assumptions to address the changes
from the OASIS–D to the OASIS–E to
continue to create simulated 60-day
episodes from 30-day periods.
• If the simulated 60-day episode
matches to a SOC or ROC assessment
Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
88363
FIGURE 4: THERAPIES MAPPING FROM OASIS-E TO OASIS-D
OASIS-E Item: O0110H -IV
Medication
OASIS-D Item: M1030 - IV or
Infusion Therapy
Response: No
---
-.-i
•. No
Response: Yes
n
Response: Missing
Response: None of the above
OASIS-E Item: K0520Parenteral/IV Feeding
OASIS-D Item: M1030 Parenteral Nutrition
Response: No
~
-r
"
-r"
~. Yes
•. No
Response: Ye-
n
Response: Missing
Response: None of the above
OASIS-E Item: K0520-Feeding
Tube
OASIS-D Item: M1030 - Enteral
Nutrition
Response: No
-.--
-·: Yes
r
•. No
r
T) _
Response: Yes
---
Response: Missing
Response: None of the above
Note, if an OASIS–E assessment has a
response of ‘‘no’’ to all three items
(O0110H—IV medication, K0520—
i
Yes
Parenteral/IV feeding, and K0520—
Feeding Tube), as shown in figure 5,
then the mapping for M1030 would be
a response of ‘‘none of the above’’.
FIGURE 5: VISION MAPPING FROM OASIS-E TO OASIS-D
OASIS-E Item: B1000- Vision
OASIS-D Item: M1200 - Vision
Response: Adequate ------+-,l.....11~~~- Normal
Response: Severely Impaired _ _U..!i~u;w.• Severely Impaired
Response: Missing
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07NOR2
ER07NO24.006
Response: Highly Impaired
ER07NO24.005
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Response: Impaired ~-~~--=-~ti}it7s~ui~j
Response: Moderately Impaired
: Partially Impaired
88364
Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
There was one pain item on the
OASIS–D (M1242—Frequency of Pain
Interfering with patient’s activity or
movement) used for calculating
payments. There are three pain related
items on the OASIS–E (J0510—pain
effect on sleep, J0520—pain interference
with therapy activities, and J0530—pain
interference with day-to-day activities)
that correspond to the one OASIS–D
pain item used for calculating
payments. Therefore, we stated that we
believed using the response from J0510,
J0520, or J0530 that reflects the
maximum severity would be the most
appropriate for mapping back to the
OASIS–D. For example, if J0510 (pain
effect on sleep) has a response of
‘‘rarely’’, J0520 (pain interference with
therapy activities) has a response of
‘‘frequently’’, and J0530 (pain
interference with day-to-day activities)
has a response of ‘‘occasionally’’, then
we would use the response from J0520
(‘‘frequently’’) for mapping as this is the
most severe response. Figure 6 shows
the proposed mapping based on the
maximum severity response for each of
the three pain items.
FIGURE 6: PAIN MAPPING FROM OASIS-E TO OASIS-D
OASIS-E Item: Max of J0510,
J0520, and J0530
OASIS-D Item: M1242
Frequency of Pain
Max Response: No pain
-
Max Response: Rarely or not at all
0 - -·- -·- - - •
i
,
Max Response: Occasionally
0
Max Response: Frequently
0 --:_---~-:
Max Response: Almost constantly
o--:-~"'~": All of the time
n
r
- : No pain
Does not interfere
--:_----.=-: Less often than daily
Daily, not constantly
As the overall methodology was
finalized in the CY 2023 HH PPS final
rule (87 FR 66804), the two proposed
assumptions described previously are
simply technical updates based on the
updated OASIS instrument to ensure
that estimated aggregate expenditures
under the PDGM are equal to the
estimated aggregate expenditures that
otherwise would have been made under
the prior system for assessing behavior
changes as required by law. We refer
readers to the CY 2024 HH PPS final
rule (88 FR 77687 through 77688) for an
overview of the overall methodology
with detailed instructions for each step.
We received a few comments on the
proposed assumptions related to
mapping of the OASIS–E items.
Comment: A commenter supported
the proposed assumptions. Another
commenter expressed concerns related
to the difference in the versions of
questions used for mapping and a
potential two-year lookback period.
While the commenter did not present an
alternative for mapping the three items
missing from OASIS–E, the commenter
did recommend a narrower lookback
period of no more than three months.
Response: We appreciate the
commenter’s thoughtful review and
recommendations. We carefully
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reevaluated the crosswalk and found a
three-month lookback period could
significantly decrease the number of
claims available for analysis, as well as
skew the data to potentially more
clinically severe patients, for example,
this would generally limit the data to
those patients who are discharged after
an inpatient admission directly to home
health care. A significant decrease in the
total number of claims or in a particular
type of claim (for example, community
late) may not fully represent the
population of home health patients.
However, using an almost two-year
look-back period for an assessment may
not provide the most updated functional
status of a beneficiary for the claim
being analyzed, as a patient’s functional
impairment status may have changed
(increased or decreased) in a longer
look-back period. Balancing the need for
adequate and unbiased data with the
need for up-to-date data, we evaluated
using a 12-month look-back period and
found this timeframe provided the most
complete and accurate data possible. It
provides a sufficient number of claims
while also allowing for the use of more
updated assessment data than would
have been used in a 24-month look-back
period.
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Final Decision: After consideration of
the public comments and reevaluation
of the proposed timeframe, we are
finalizing the following assumptions for
the OASIS–D to OASIS–E crosswalk:
• If the simulated 60-day episode
matches to a SOC or ROC assessment
then we will not impute the 13 items.
If the simulated 60-day episode matches
to an OASIS–E follow-up assessment,
then we will look back for the most
recent 30-day period that is linked to a
SOC or ROC assessment and impute the
13 responses for follow-up using the
responses at the most recent SOC or
ROC assessment. We will limit the lookback period to 12-months. For example,
a simulated 60-day episode that began
on June 1, 2023, and linked to a followup assessment will be limited to a 30day period that ended on or after June
1, 2022, and linked to a SOC or ROC
assessment. If we cannot find a SOC or
ROC assessment in that time period, we
will exclude the claim from analysis.
• If the simulated 60-day episode
matches to an OASIS–D assessment,
then we will use the OASIS–D for the
three items (therapies (M1030), vision
(M1200), and the frequency of pain
interfering with activity (M1242))
responses. If the simulated 60-day
episode matches to an OASIS–E
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assessment, we will apply the mapping
for the therapies, vision, and pain items
as shown in figures 4–6 to impute
responses as these responses are
required for accurate payment
calculation under the prior 153-group
system. When necessary, we will also
apply the same 12-month look-back
period as described in the previous
assumption.
c. Calculating Permanent and
Temporary Payment Adjustments
To offset prospectively for such
increases or decreases in estimated
aggregate expenditures resulting from
the impact of differences between
assumed behavior changes and actual
behavior changes, in any given year, we
calculate a permanent prospective
adjustment by calculating the percent
change between the actual 30-day base
payment rate and the recalculated 30day base payment rate. This percent
change is converted into an adjustment
factor and applied in the annual rate
update process.
To offset retrospectively for such
increases or decreases in estimated
aggregate expenditures as a result of the
impact of differences between assumed
behavior changes and actual behavior
changes in any given year, we
calculated a temporary prospective
adjustment by calculating the dollar
amount difference between the
estimated aggregate expenditures from
all 30-day periods using the recalculated
30-day base payment rate, and the
aggregate expenditures for all 30-day
periods using the actual 30-day base
payment rate for the same year. In other
words, when determining the temporary
retrospective dollar amount, we used
the full dataset of actual 30-day periods
using both the actual and recalculated
30-day base payment rates to ensure that
the utilization and distribution of claims
are the same. In accordance with section
1895(b)(3)(D)(iii) of the Act, the
temporary adjustment is to be applied
on a prospective basis and shall apply
only with respect to the year for which
such temporary increase or decrease is
made. Therefore, after we determine the
dollar amount to be reconciled in any
given year, we calculate a temporary
adjustment factor to be applied to the
base payment rate for that year. The
temporary adjustment factor is based on
an estimated number of 30-day periods
in the next year using historical data
trends, and as applicable, we control for
a permanent adjustment factor, case-mix
weight recalibration neutrality factor,
wage index budget neutrality factor, and
the home health payment update. The
temporary adjustment factor is applied
last. We refer readers to the CY 2024 HH
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PPS final rule (88 FR 77689 through
77694) for analysis for CYs 2020
through 2022 claims. Additionally, at
the end of this section we provide a
summary table for the permanent
adjustment and temporary dollar
amounts calculated for each year.
Comment: Several commenters
continue to oppose the behavior
adjustment methodology finalized in the
CY 2023 HH PPS final rule and repeated
objections discussed in the CY 2023 HH
PPS final rule and CY 2024 HH PPS
final rule, stating that they believe the
methodology violates the Social
Security Act and performs an
unauthorized rebasing of the 30-day
payment rate. Commenters again
requested that CMS develop and
propose a new methodology.
Response: The comments received on
the methodology for the proposed rule
are similar to those received during CY
2023 and CY 2024 rulemaking. We refer
readers to our responses to those
comments in the CY 2023 HH PPS final
rule (87 FR 66797 through 66804) and
CY 2024 final rule (88 FR 77689). In
those rules, we responded to
commenters’ statements that they
believe our final methodology was a
violation of the Social Security Act, as
well as commenters’ technical concerns,
such as the inclusion of therapy visits
as part of our methodology. In this
year’s proposed rule, we did not
propose any changes to the behavior
adjustment methodology, as we
finalized this methodology to evaluate
the impact of the differences of assumed
versus actual behavior changes on
estimated aggregate expenditures, which
is an ongoing evaluation for all the years
in which a payment adjustment is
appropriate.
d. CY 2023 Final Claims Results
We will continue the practice of using
the most recent complete home health
claims data available at the time of
rulemaking. The CY 2023 analysis
presented in the CY 2025 HH PPS
proposed rule was considered
preliminary and as additional data
became available from the latter half of
CY 2023, we updated our results in this
final rule. While the claims data and the
permanent and temporary adjustment
results in this final rule will be
considered complete, any adjustments
to future payment rates may be subject
to additional considerations such as
permanent adjustments taken in
previous years.
The claims data used in rulemaking is
released twice each year in the HH PPS
Limited Data Set (LDS) file, one for the
proposed and one for the final.
Accordingly, the HH PPS LDS file
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88365
released with this final rule includes
two files: the actual CY 2023 30-day
periods and the CY 2023 simulated 60day episodes.
We remind readers a data use
agreement (DUA) is required to
purchase the CY 2025 final HH PPS LDS
file. Access will be granted for both the
30-day periods and the simulated 60day episodes under one DUA. Visit the
HH PPS LDS web page for more
information.1 In addition, the final CY
2025 Home Health Descriptive Statistics
from the LDS Files spreadsheet is
available on the HH PPS Regulations
and Notices web page,2 does not require
a DUA, and is available at no cost to
interested parties. The spreadsheet
contains information on the number of
simulated 60-day episodes and actual
30-day periods in CY 2023 that were
used to determine the adjustments. The
spreadsheet also provides information
such as the number of episodes and
periods by case-mix group, case-mix
weights, and simulated payments.
e. Applying the Methodology to CY
2023 Data To Determine the CY 2025
Permanent and Temporary Adjustments
Using the methodology finalized in
the CY 2023 HH PPS final rule to apply
for all the years in which an adjustment
is appropriate, and described most
recently in the CY 2024 HH PPS final
rule (88 FR 77687 through 77688), as
well as the two new assumptions related
to the OASIS–E mapping, we simulated
60-day episodes using actual CY 2023
30-day periods to determine what the
permanent and temporary payment
adjustments should be to offset for such
increases or decreases in estimated
aggregate expenditures as a result of the
impact of differences between assumed
behavior changes and actual behavior
changes.
Using the final CY 2023 dataset, we
began with 8,319,064 30-day periods of
care and dropped 513,580 30-day
periods of care that had a claim
occurrence code 50 date after October
31, 2023. We also excluded 866,308 30day periods of care that had a claim
occurrence code 50 date before January
1, 2023, to ensure the 30-day period will
not be part of a simulated 60-day
episode that began in CY 2022.
Applying the additional exclusions and
assumptions as described in the
finalized methodology (87 FR 66804), an
1 https://www.cms.gov/research-statistics-dataand-systems/files-for-order/limiteddatasets/home_
health_pps_lds.
2 https://www.cms.gov/Medicare/Medicare-Feefor-Service-Payment/HomeHealthPPS/HomeHealth-Prospective-Payment-System-Regulationsand-Notices.
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additional 13,508 30-day periods were
excluded.
Additionally, we excluded 204,597
simulated 60-day episodes of care where
no OASIS information was available in
the Chronic Conditions Data Warehouse
(CCW) Virtual Research Data Center
(VRDC), a recent SOC/ROC OASIS was
not available, a wage index was not
available, or the episode could not be
grouped to a Health Insurance
Prospective Payment System (HIPPS)
code due to a missing primary diagnosis
or other reason. Our simulated 60-day
episodes of care produced a distribution
of two 30-day periods of care (69.0
percent) and single 30-day periods of
care (31.0 percent) that was similar to
what we found when we simulated two
30-day periods of care for
implementation of the PDGM. After all
exclusions and assumptions were
applied, the final dataset for this final
rule included 6,541,678 actual 30-day
periods of care and 3,870,602 simulated
60-day episodes of care for CY 2023.
Using the final dataset for CY 2023
(6,541,678 actual 30-day periods which
made up the 3,870,602 simulated 60-day
episodes) we determined the estimated
aggregate expenditures under the prePDGM HH PPS were lower than the
actual estimated aggregate expenditures
under the PDGM HH PPS. This
indicates that aggregate expenditures
under the PDGM were higher than if the
153-group payment system was still in
place in CY 2023 and therefore, we
determined the CY 2023 30-day base
payment rate should have been
$1,875.46 based on actual behavior, as
shown in table 2. As stated in the CY
2024 final rule (88 FR 77693) we
determined for CYs 2020 through CY
2022 a total of ¥5.779 percent
permanent adjustment was needed (after
accounting for the ¥3.925 percent
applied to the CY 2023 payment rate).
In order to determine behavior changes
for only CY 2023, we simulated what
the CY 2023 base payment rate would
have been if the ¥5.779 percent
adjustment that we determined using
CY 2022 claims data had been
implemented.
Using the recalculated CY 2022 base
payment rate of $1,839.10 (88 FR
77693), multiplied by the CY 2023 casemix weight recalibration neutrality
factor (0.9904), the CY 2023 wage index
budget neutrality factor (1.0001) and the
CY 2023 home health payment update
factor (1.040), the CY 2023 base
payment rate for assumed behavior
would have been $1,894.49. For the CY
2023 annual permanent adjustment, we
calculated the percent change between
the two payment rates for only CY 2023
(assuming the ¥5.779 percent
adjustment was already taken). For the
temporary adjustment we calculated the
difference in aggregate expenditures in
dollars for all CY 2023 PDGM 30-day
claims using the actual payment rate
($2,010.69) and recalculated payment
($1,875.46). This difference is shown as
the retrospective dollar amount needed
to offset payment in a future year. Our
results for the CY 2023 annual (single
year) permanent and temporary
adjustment calculations using CY 2023
final claims data are shown in table 2.
TABLE 2: CY 2023 FINAL PERMANENT AND TEMPORARY ADJUSTMENT
CALCULATIONS
Budget-neutral 30-day
Payment Rate with
Assumed Behavior Chanees
Budget-neutral 30-day
Payment Rate with
Actual Behavior Chanees
$1,894.49*
$1,875.46
$16,354,432,797**
$15,383,001,684
Base Payment Rate
A2:2:re2ate Expenditures
CY2023 Only
Ad_iustment
Permanent
-1.004%
Temporary
-$971,431,113
Source: CY 2023 Home Health Claims Data, Periods that end in CY 2023 accessed on the CCW July 11, 2024.
*The $1,894.49 is equal to the recalculated budget neutral 30-day base payment rate of $1,839.10 for CY 2022
(shown in table 2) multiplied by the CY 2023 recalibration factor (0.9904), wage index budget neutrality factor
(1.0001) and the CY 2023 home health payment update (1.040).
**The estimated aggregate expenditures for assumed behavior ($16.4 billion), uses the actual CY 2023 payment rate
of$2,010.69 as this is what CMS actually paid in CY 2023.
such increases in estimated aggregate
expenditures in future years. We remind
readers, the permanent prospective
adjustment of ¥1.004 percent is for
illustrative purposes only and the
annual (single year) permanent
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$1,894.49
Section 1895(b)(3)(D) of the Act
requires us to annually analyze data
from CY 2020 through CY 2026 and
offset any increases or decreases in
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-1.004 %
estimated aggregate expenditures at a
time and manner determined
appropriate. We now have four years of
claims data (CYs 2020–2023) under the
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PDGM, with one of these years
including a partial permanent
adjustment. Later we provide an
illustration of the annual (single year)
E:\FR\FM\07NOR2.SGM
07NOR2
ER07NO24.010
($1,875.46 - $1,894.49)
--------- =
adjustment cannot be added to previous
annual adjustments. To illustrate the
annual calculation for CY 2023 claims
only:
ER07NO24.008
As shown in table 2, a permanent
prospective adjustment of ¥1.004
percent to the CY 2025 30-day payment
rate (assuming the¥5.779 percent
adjustment was already taken) for CY
2023 would be required to offset for
Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
permanent adjustments calculated on
the discrete year of claims. We remind
readers these annual adjustments cannot
be added or multiplied together to
determine the total permanent
adjustment needed for CY 2025 because
each individual year requires an
assumption that all prior adjustments
were taken. We provided an illustrative
equation in the CY 2025 HH PPS
88367
proposed rule (89 FR 55335) using the
annual adjustment. We remind readers
that equation may result in slightly
different results due to the underlying
assumptions each year and rounding.
TABLE 3: TOTAL ANNUAL PERMANENT ADJUSTMENT
FOR DISCRETE CLAIMS IN CYs 2020 - 2023
Claims Data
CY2020
CY 2021
CY2022
CY 2023
Annual Permanent Adjustment
-6.52%
-1.42%
-1.767%
-1.004%
Additionally, we determined that our
initial estimate of the base payment rate
($2,010.69) resulted in excess
expenditures of approximately $971
million in CY 2023. This will require a
temporary adjustment, where the dollar
amount ($971 million) will be converted
to a factor when implemented, to offset
for such increases in estimated aggregate
expenditures for CY 2023.
f. CY 2025 Final Permanent Adjustment
and Temporary Adjustment
Calculations
In the preceding section we describe
how we annually analyzed CY 2023
final claims data to determine the effects
of actual behavior change on estimated
aggregate expenditures. Again, that
analysis included simulations that
assumed that the ¥5.779 percent
payment adjustment was already taken.
HH PPS Final Rule Citation
87 FR 66805
87 FR 66806
88 FR 77692
table 2 of this rule
We note that CMS implemented a
payment adjustment of¥2.890 percent
for CY 2024, rather than the ¥5.779
percent we calculated (88 FR 77697), so
the calculations set forth later in this
section reflect the remaining
adjustments that are still needed.
Therefore, the calculation in this
section includes any of the remaining
adjustments not applied in previous
years (that is, CYs 2020 to 2022 claims
data), as well as the adjustment needed
to account for CY 2023 claims. In
calculating the full permanent
adjustment needed to the CY 2025 30day payment rate, we compare
estimated aggregate expenditures under
the PDGM and the prior system. Unlike
the annual adjustments described in
table 3, we do not assume the full
adjustment from prior years had been
taken.
As discussed in section II.C.1.d. of
this final rule, using the final dataset for
CY 2023 (6,541,678 actual 30-day
periods which made up the 3,870,602
simulated 60-day episodes) we
determined the CY 2023 30-day base
payment rate should have been
$1,875.46 based on actual behavior,
rather than the actual CY 2023 30-day
base payment rate ($2,010.69) based on
assumed behaviors. The percent change,
as shown in table 4, between the actual
CY 2023 base payment rate of $2,010.69
(based on assumed behaviors and
included a ¥3.925 percent adjustment
applied to the CY 2023 payment rate)
and the CY 2023 recalculated base
payment rate of $1,875.46 (based on
actual behaviors) is the total permanent
adjustment need for CYs 2020 through
2023 claims.
TABLE 4: TOTAL PERMANENT ADJUSTMENT
FOR CYS 2020, 2021, 2022, AND 2023
Actual CY 2023 Base
Payment Rate
(Assumed Behavior)
$2,010.69
Recalculated CY 2023 Base
Payment Rate
(Actual Behavior)
$1,875.46
Total Permanent
Prospective Adjustment
-6.726%*
rate for CYs 2020 through 2023 will be
required to offset for such increases in
estimated aggregate expenditures in
future years. To illustrate this
calculation:
($1,875.46 - $2,010.69)
- - - - - - - - - = -6.726 %
$2,010.69
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ER07NO24.012 ER07NO24.011
As shown in table 4, a permanent
prospective adjustment of ¥6.726
percent to the CY 2025 30-day payment
ER07NO24.009
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Source: CY 2023 Home Health Claims Data, Periods that end in CY 2023 accessed on the CCW July 11, 2024.
*This is the total permanent adjustment based on CY 2023 data which includes the previous permanent adjustment
of -3.925% applied. However, as described later, we recognize that for CY 2025 we must also account for
adjustment made in CY 2024.
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As we stated in the CY 2024 HH PPS
final rule (88 FR 77697), applying a
¥2.890 percent permanent adjustment
to the CY 2024 30-day payment rate will
not adjust the rate fully to account for
differences in behavior changes on
estimated aggregate expenditures in CYs
2020, 2021, and 2022. Using CY 2023
claims data, as shown in table 5, a
permanent prospective adjustment of
¥6.726 percent to the CY 2025 30-day
payment rate will be required to offset
for such increases in estimated aggregate
expenditures for CYs 2020 through
2023. We remind readers adjustment
factors are multiplied in this payment
system and therefore, individual
numbers (that is, percentages) cannot be
added or subtracted together to
determine the final adjustment.
Therefore, we cannot determine the CY
2025 proposed permanent adjustment,
which will include estimated aggregate
expenditures in CY 2023, by simply
X
=l
_
=1 -
subtracting the ¥2.890 percent applied
in CY 2024 from the total permanent
adjustment of ¥6.726 percent.
Instead, we account for the permanent
adjustment applied in CY 2024 of
¥2.890 percent when we calculate the
CY 2025 permanent adjustment by
solving the following equation
(1¥0.0289) × (1¥x) = (1¥0.06726). To
illustrate this calculation we used the
following approach.
(1-0.06726)
1-0.0289
0.96050
x = 0.03950 (that is, 3.95 percent)
X
In table 5 we provide the base
payment rate for assumed behaviors
(what CMS actually paid), the
recalculated base payment rate for
actual behaviors (what CMS should
have paid), the total permanent
adjustments calculated from the base
payment rates (accounts for any
adjustments taken prior), and the
permanent adjustment applied.
TABLE 5: SUMMARY OF PERMANENT ADJUSTMENTS
FOR CYS 2020 - 2026
Claims Analysis
Year
CY2020
CY2021
CY2022
Base Payment
Rate for Assumed
Behaviors (Actual
Amount Paid to
HHAs in the
Claims Analysis
Year)
$1,864.03
$1,901.12
$2,031.64
Base Payment
Rate that Reflects
Actual Behavior
Changes (As
Determined After
Later Claims
Analysis)
$1,742.52
$1,751.90
$1,839.10
Total Permanent
Adjustment
Between Assumed
and Actual
Behavior Rates*
-6.52%
-7.85%
-5.78%
Permanent Adjustment
CMS Finalized and
Implemented in
Rulemaking
n/a
-3.925% (88 FR 66808)
-2.890% (88 FR 77697)
CY2023
CY2024
CY2025
CY2026
$2,010.69
$2,038.13
TBD
TBD
$1,873.17
TBD
TBD
TBD
-3.95%
TBD
TBD
TBD
see final decision
TBD
TBD
TBD
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19:11 Nov 06, 2024
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help slow the accrual of the temporary
payment adjustment amount. Using
more complete claims data, and as
calculated previously, the permanent
adjustment to the CY 2025 30-day
payment rate would be a reduction of
3.95 percent.
We remind readers that while we
have not yet proposed a methodology on
how CMS will apply the temporary
adjustment on a prospective basis to the
base payment rate, we finalized the
methodology for determining the
temporary adjustment dollar amount in
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the CY 2023 HH PPS final rule (87 FR
66804). We stated in the CY 2023 HH
PPS final rule (87 FR 66804), the CY
2024 HH PPS proposed rule (88 FR
43674) and in the CY 2025 HH PPS
proposed rule (89 FR 55337), that after
we determine the total dollar amount to
be reconciled, we will calculate a
temporary adjustment factor to be
applied to the base payment rate for the
year in which it is implemented. In
other words, the total dollar amount for
the temporary adjustment will not
change as data analysis in the final rules
E:\FR\FM\07NOR2.SGM
07NOR2
ER07NO24.013
In the CY 2025 HH PPS proposed rule
(89 FR 55337), we proposed to apply the
full permanent adjustment we (then)
calculated of ¥4.067 percent, noting
that we would update this percentage
using more complete claims data in the
final rule, to satisfy the statutory
requirements at section 1895(b)(3)(D) of
the Act to offset any increases or
decreases on the impact of differences
between assumed behavior and actual
behavior changes on estimated aggregate
expenditures, reduce the need for any
future large permanent adjustments, and
ER07NO24.014
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Note: With the prospective payment systems, the claims data analyzed differ from the rulemaking cycle. For example, CY 2020
claims are used in CY 2022 rulemaking.
*The total permanent adjustment accounts for prior adjustments that were finalized and implemented through rulemaking.
Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
are considered complete. In table 6, we
provide the temporary adjustment dollar
88369
amount for each year and the overall
total.
TABLE 6: SUMMARY OF TEMPORARY ADJUSTMENTS DOLLAR
AMOUNTS FOR CYS 2020 - 2026
Claims Analysis Year
Dollar Amount
CY 2020
CY 2021
CY 2022
CY 2023
CY2024
CY 2025
CY2026
-$873,073,121
-$1,211,002,953
-$1,405,447,290
- $971,431,113
Total
-$4,460,954,4 77
TBD
TBD
TBD
We did not propose to take the
temporary adjustment in CY 2025. In
future rulemaking, we will propose the
temporary adjustment dollar amount to
be converted to a factor to be applied to
the national, standardized base payment
rate in a time and manner determined
appropriate.
Comment: Commenters stated that
they believe CMS has not provided data,
or that they believe the data presented
is inaccurate to demonstrate behavior
changes, and therefore, they believe any
payment adjustment is not supported.
Response: We disagree that we have
not provided commenters with the data
on which we relied, or that we relied on
inaccurate data. We provided our
extensive data in the CY 2022 HH PPS
proposed rule (86 FR 35880 through
35889), the CY 2023 HH PPS proposed
rule (87 FR 37605 through 37614), the
CY 2024 HH PPS proposed rule (88 FR
43663 through 43671), and the CY 2025
HH PPS proposed rule (89 FR 55318
through 55327). Additionally, on March
29, 2023, CMS conducted a webinar
entitled ‘‘Medicare Home Health
Prospective Payment System (HH PPS)
Calendar Year (CY) 2023 Behavior
Change Recap, 60-Day Episode
Construction Overview, and Payment
Rate Development.’’ The webinar was
open to the public and the materials
from the webinar, including the
presentation and the data files were
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published on the CMS website.3 As
stated previously, CMS also provides
twice a year (that is, proposed and final
rules) the HH PPS LDS file and the
Home Health Descriptive Statistics from
the LDS Files. Therefore, CMS has
provided this data numerous times
through rulemaking and made all data
files used in assessing behavior changes
and rate setting available for interested
parties.
Comment: The majority of
commenters opposed the proposed
permanent adjustment to the CY 2025
home health rate and requested CMS
postpone its application in order to
preserve access to home health services
and the scope of care available.
Commenters stated that they believe
CMS dismissed data analysis presented
from interested parties showing an
increase in referral rejections, which
commenters purport is caused by the
permanent rate adjustment. These
commenters stated that this ‘‘on-going
pattern of loss of access to care’’ is
directly related to implementation of the
PDGM and payment adjustments related
to the behavior adjustment analysis and
that CMS has an obligation to answer
the questions posed through these
analyses. The most common themes
commenters presented as support for
their concern that another permanent
3 Home Health Patient-Driven Groupings Model
web page at https://www.cms.gov/medicare/
medicare-fee-for-service-payment/homehealthpps/
hh-pdgm.
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adjustment in CY 2025 is exacerbating
an unstable home health benefit are
negative margins, increasing costs, labor
shortages, and increasing referral
rejections by HHAs.
Response: We diligently review all
comments and analysis from interested
parties submitted through public
comment on proposed rules. Our review
of data and comments provided by
interested parties, as well as our own
internal data and analysis, helps the
agency implement appropriate payment
policies. This thorough process helps
guide agency decision making, as we
have discretion to implement
regulations and payment adjustments in
a time and manner deemed appropriate.
Throughout the policy-making process,
we monitor the effects the PDGM and
Medicare home health payment rates
have on access to care, including the
number of beneficiaries accessing the
benefit as well as the number of
providers furnishing services. We
carefully analyze our own data extracted
through the CCW VRDC, claims review,
and examination of cost reports. CMS
also monitors the effects of the PDGM
on the quality of care provided by HHAs
through the home health quality
reporting program (HH QRP),4 and we
refer readers to section III of this rule for
further information about the HH QRP.
To the extent commenters suggest
4 https://www.cms.gov/medicare/quality/homehealth.
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ER07NO24.015
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Source: CY 2020 Home Health Claims Data, Periods that begin and end in CY 2020 accessed on the CCW July 12,
2021. CY 2021 Home Health Claims Data, Periods that end in CY 2021 accessed on the CCW July 15, 2022. CY
2022 Home Health Claims Data, Periods that end in CY 2022 accessed on CCW July 15, 2023. CY 2023 Home
Health Claims Data, Periods that end in CY 2023 accessed on CCW July 11, 2024.
Note: The anticipated temporary adjustments of approximately $4.5 billion will require temporary adjustment(s) to
offset for such increases in estimated aggregate expenditures. The dollar amount will be converted to a factor when
implemented in future rulemaking.
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access to care concerns mean we should
not make any behavioral adjustments,
such concerns cannot override our
statutory obligations. As for the
suggestion that access to care issues
justify delaying implementation of the
permanent behavioral adjustments, our
analysis has not identified sufficient
evidence that delaying the
implementation of the permanent
adjustment will have a significant effect
on access to care or the issues
commenters describe as destabilizing
the home health benefit. Below, we
respond to these concerns and discuss
potential influencing factors that may
affect the home health industry beyond
the permanent behavioral adjustments.
We understand that commenters are
concerned that the PDGM might have
narrowed the gap between the margins
providers receive treating patients
enrolled in Medicare-FFS and the
margins providers receive from patients
with other health coverage. However, as
we stated in the CY 2023 HH PPS final
rule (87 FR 66807) and the CY 2024 HH
PPS final rule (88 FR 77695), Medicare
does not set payments to cross-subsidize
other payers, as we are mindful of our
obligation to be responsible stewards of
the Medicare Trust Funds. Many
commenters stated outright that
Medicare should consider all-payor
margins when evaluating the accuracy
of the Medicare home health payment
rate. While CMS analyzes Medicare
margins as a financial gauge overall to
the soundness of the home health
industry, we again note that 42 CFR
413.5 states that ‘‘costs attributable to
other patients of the institution are not
to be borne by the program’’—‘‘the
program’’ being Medicare. In other
words, when setting payment rates,
CMS is not required to consider any
shortfalls or deficits created by the
payment rates of insurance programs
covering other patients.
Our analysis of cost reports submitted
by HHAs shows that Medicare payment
rates exceed costs of care by 32 percent
(89 FR 55321). Overall, CMS’s data on
the cost of providing care (as reported
by HHAs on the Home Health Medicare
Cost Reports (CMS Form 1728–20, OMB
No. 0938–0022)) and the margin
analysis presented in the CY 2024 HH
PPS final rule (88 FR 77695), along with
data reported by MedPAC, an
independent congressional agency,5
indicate that the cost of providing home
health care remains, on average, below
the base payment rate and that HHAs in
general continue to experience high
Medicare margins. We also note that we
reviewed an annual outlook survey 6 of
152 home health market participants (72
percent of which were executives, see
page 4) published by Homecare
Homebase (HCHB), an electronic health
records service provider to home health
agencies that report their software
serves ‘‘all ten of the top ten largest
home health agencies.’’ 7 Approximately
85 percent of survey participants
reported they expect their organization’s
overall revenue to stay the same (20
percent) or increase (65 percent) in 2024
compared to 2023 (pg. 7). We
understand this survey is only a sample
and may not represent every HHA;
however, it is important to recognize
that many home health executives
report an overall positive market
outlook despite the permanent
adjustment to the home health payment
rate implemented in CY 2023.
We acknowledge commenters’
concerns regarding staff shortages.
Similar to what we stated in the CY
2024 HH PPS final rule (88 FR 77696),
we recognize there are widespread
staffing shortages across the spectrum in
healthcare as well as the general labor
market. But the statute limits behavioral
adjustments to those attributable to the
implementation of the PDGM, and
commenters do not cite evidence
suggesting staffing shortages are
attributable to those changes. We
primarily account for those challenges
in other ways, such as the market basket
as explained in section II.C of this final
rule. As we stated above and previously,
delaying the permanent adjustment now
will only lead to larger permanent
adjustments in the future, and any
temporary savings by HHAs will be
offset by larger future temporary
adjustments.
We also considered the referral
analysis industry advocates again
submitted using their proprietary data.
While we welcome analysis conducted
by industry advocates and incorporate
insights from the industry’s experience
and data as appropriate, for reasons
including those explained in the CY
2024 HH PPS final rule (88 FR 77695),
we must use Medicare FFS data to set
Medicare FFS policy. We appreciate
that the industry advocates addressed
some of the concerns with their data
that we raised last year. However, they
did not address whether their
proprietary data contains information
from other payors, such as Medicare
Advantage (MA) plans.
5 https://www.medpac.gov/wp-content/uploads/
2024/03/Mar24_MedPAC_Report_To_Congress_
SEC-2.pdf.
6 https://hchb.com/resources/white-papers/
survey-2024-hhcn-outlook-survey-and-report/.
7 https://hchb.com/faqs/.
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It is important to note that neither our
nor the industry’s analysis of referral
rejections studied causation. In other
words, an increase of non-acceptance to
home health does not necessarily
indicate that delaying the payment
adjustment would increase referral
acceptance. The industry appears to
assume that the main reason an HHA
would reject a referral is because the
HHA cannot afford to provide the
services for the referred patient based on
the Medicare home health payment rate.
As noted above, CMS’s analysis of home
health costs suggests the payment rate is
adequate to provide services to
beneficiaries, and any number of
reasons exist that could result in a
patient not receiving home health
services. For instance, not every patient
is found to be eligible for home health
upon initial assessment and some
patients decline home health despite
being referred. Additionally, HHAs
decide which services they can provide
(in addition to skilled nursing) and may
not be appropriately staffed to provide
the services in the patient’s plan of care.
For example, a patient may need skilled
nursing, physical therapy, and
occupational therapy, but the referred
HHA is not appropriately staffed with
(or contracted with) an occupational
therapist. Therefore, even large
increases in referral rejections would
not necessarily justify delaying the
permanent adjustment or substantiate
concerns that HHAs cannot afford to
accept patients based on the nationalstandardized payment rates.
Nevertheless, based on the industry’s
suggestion that their data suggests that
there has been an increase in referral
rejections since we implemented the
PDGM, we conducted our own referral
analysis using Medicare FFS data, and
our findings, as shown in figure 7, differ
from the industry’s. We acknowledge
that there will always be a certain
percentage of referral rejections, for
example, patient refusal or ineligibility,
and our analysis indicates that the
rejection rate has been relatively stable
with less than a five percent change
from CY 2020 to 2023.
In conducting our referral analysis,
we first determined ‘‘referrals’’ by
identifying FFS acute inpatient,
inpatient rehabilitation facility (IRF),
skilled nursing facility (SNF), and
outpatient claims that had a discharge
status code indicating home health.
While a beneficiary may be counted
more than once (for example, multiple
inpatient admissions in a year), each
claim with a discharge to home health
is considered its own referral. Figure 7
illustrates the percentages of claims
E:\FR\FM\07NOR2.SGM
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88371
with a discharge status code indicating
home health services.
FIGURE 7: PERCENTAGE OF CLAIMS WITH A DISCHARGE STATUS CODE
INDICATING HOME HEALTH SERVICES FOR CYS 2018 -2023
80o/c0
Cf)
en :::, I
~ ~ I- I- ...J
::s Cf) <(
(.) LU ~
LL C, LU
0 c:: ~
LU<( 0
c, ~ I
~ Cf) 0
z -
I-
LU O LU
(.) <( 0
C::
I
0
70%
--
60%
-
-
I
--
--
--
-
-
--
50%
40%
---
30%
20%
LU I- (.)
c.. ~
--
10%
0%
-
.
T
2018
-
.
.
,
""
2019
2020
2021
2022
2023
"
~Acute Inpatient
30%
29%
32%
31%
30%
30%
-IRF
63%
63%
67%
67%
67%
67%
....... SNF
19%
18%
18%
17%
16%
17%
11%
12%
14%
14%
14%
15%
·--++--Outpatient
Source: CY 2023 Medicare FFS claims accessed on the CCW September 4, 2024.
Note: Analysis is at the claim level to represent each potential referral to home health. Therefore, a beneficiary can
be represented multiple times in the analysis.
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the beneficiary was referred to home
health based on the discharge status
codes. We then analyzed the number of
days between the acute inpatient, IRF,
SNF, and outpatient claim (with a
discharge status code to home health)
through date and the home health claim
from date. Per 42 CFR 484.55(a)(1) the
initial assessment visit must be held
within 48 hours of referral, or within 48
hours of the patient’s return home, or on
the physician or allowed practitionerordered start of care date. Therefore, we
limited our analysis to a home health
claim start date within seven days of the
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non-home health claim through date.
For example, an acute inpatient claim
has a through-date of January 31st, and
the same beneficiary has a home health
claim start date on or before February
7th. Figure 8 illustrates the percentage
of acute inpatient, IRF, SNF, and
outpatient claims that had a discharge
status code to home health and the
beneficiary having a home health claim
within seven days of discharge from an
acute inpatient, IRF, SNF, or outpatient
setting.
E:\FR\FM\07NOR2.SGM
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We found from 2018 to 2023 referrals
to home health services from acute
inpatient claims remained stable,
increased for IRF claims, decreased for
SNF claims, and increased for
outpatient claims.
Next, utilizing the same time period
(CYs 2018–2023), we excluded any
home health claims where the
beneficiary did not have an acute
inpatient, IRF, SNF, or outpatient claim
preceding the home health claim. We
specifically looked at acute inpatient,
IRF, SNF or outpatient claims because
this is the clearest way to determine that
88372
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FIGURE 8: PERCENTAGE OF NON-HOME HEALTH CLAIMS WITH A HOME
HEALTH CLAIM WITHIN SEVEN DAYS OF DISCHARGE BY CLAIM TYPE FOR
CYS 2018 - 2023
1001¼0
(/)
~
~
95%
~
::i
~
90%
I- Cl
85%
(.)
(.) I
LL. ...J z
Q <{ LU
(f) LU
LUILU
(9 LU (f)
>
2014
19:11 Nov 06, 2024
Jkt 265001
of the referral rejection rate using their
proprietary data. The industry reported
an approximate 77 percent, 75 percent,
and 65 percent acceptance of referrals
for 2018 (pre-PDGM), 2020 (PDGM), and
2023 (PDGM) respectively for their
study population. One reason for the
different results could be the different
population the industry studied. As
described in the CY 2025 HH PPS
proposed rule (89 FR 55319) there was
a total of about 17.1 million unique FFS
beneficiaries from 2018 to 2023.8
Commenters stated that their referral
analysis was ‘‘based on 25.7 million
patients who entered Homecare
Homebase from 2018 through the
present.’’ It is unclear why the
Homecare Homebase data included an
additional 8.6 million patients. One
possibility is that that Homecare
Homebase’s database included patients
who were not enrolled in Medicare FFS
or used other payors. As explained
above, we set Medicare FFS policy
based on how it affects Medicare FFS
beneficiaries—not how it affects other
payors’ enrollees.
Comment: Commenters also
highlighted a decrease in the number of
HHAs since the implementation of the
8 Some beneficiaries may be counted across years,
and therefore the total may overestimate the total
number of beneficiaries between 2018 and 2023.
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PDGM and this decrease may be
contributing to the lack of access to care
and increased referral rejections.
Response: In the CY 2024 HH PPS
final rule (88 FR 77696) we stated
awareness of changes in the home
health industry. We acknowledged that
the home health landscape is changing
as HHAs continue to be consolidated
and bought by private equity firms and
the increase of for-profit agencies. For
example, in our data we identified a
total of 8,674 HHAs that had ownership
status available, and 82 percent are forprofit; 15 percent are non-profit, and 3
percent government owned. In their
2024 report, MedPAC describes a
continuous decline in the number of
HHAs since 2013, while the supply of
agencies remained relatively stable after
the implementation of PDGM in 2020.9
MedPAC also notes that relative to the
FFS Medicare population alone, the
supply of agencies increased (to 2.3
HHAs per 10,000 FFS beneficiaries)
because the 2022 decline in FFS
Medicare beneficiaries was greater than
the decline in the number of agencies.
Further, our own analysis shows that
9 Medicare Payment Advisory Commission,
Report to the Congress: Medicare Payment Policy,
Washington, D.C. (March 2024)—https://
www.medpac.gov/wp-content/uploads/2024/03/
Mar24_Ch7_MedPAC_Report_To_Congress_
SEC.pdf.
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Source: CY 2023 Medicare FFS claims accessed on the CCW September 4, 2024.
Note: Analysis is at the claim level to represent each potential referral to home health. Therefore, a beneficiary can
be represented multiple times in the analysis.
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there is only a 1.7 percent decline in the
number of HHAs with at least one claim
in 2019 to the number of HHAs with at
least one claim in 2023, and the vast
majority of Medicare beneficiaries live
in counties with a few HHAs with
positive margins. While the distribution
of HHAs have changed, there is no
evidence to support that this is solely
attributable to adjustments to the home
health payment rates and, again, note
that the change in ownership practices
could be contributing to the slight
decline in the number of HHAs.
Comment: We have continued to
receive concerns from commenters
regarding ‘‘inappropriate practice
patterns,’’ suggesting again that HHAs
may change how they operate in
accordance with payment. In response
to the CY 2025 HH PPS proposed rule,
CMS received many letters from
therapists and other home health care
practitioners detailing administrative
mandates from HHAs limiting how
many visits a patient may receive.
Further, many of these commenters
stated that it was not their salary that
would cause them to leave the home
health environment, but the strict
direction detailing the limits of their
practice in order to generate profit for
the agency.
Response: These comments mirror
comments we responded to in last year’s
HH PPS final rule discussing the
potential for the functional impairment
levels to create an incentive for HHAs
to hand-pick patients based on their
predicted case mix grouping. We again
emphasize that the plan of care must
specify the care and services necessary
to meet the patient-specific needs as
identified in the comprehensive
assessment, including identification of
the responsible discipline(s), and the
measurable outcomes that the HHA
anticipates will occur as a result of
implementing and coordinating the plan
of care. It is improper for an HHA to
influence a practitioner on what should
be included in the plan of care based on
the HHA’s own financial constraints
and staffing abilities. As stated in the
CY 2024 HH PPS final rule (88 FR
77699), we expect the provision of
services be made to best meet the
patient’s care needs and in accordance
with the home health CoPs at § 484.60,
and that it is not proper for HHAs to
under-supply care or services or reduce
the number of visits in response to
payment, as this would be a violation of
the CoPs.
A commenter summed up many of
these comments by stating that ‘‘rate
cuts lead to care cuts.’’ We acknowledge
commenters’ concerns that they believe
HHAs are dictating practice patterns in
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response to the implementation of the
PDGM. However, Medicare sets
payment rates in accordance with
statutory requirements, and not HHA’s
business practices. Moreover, access to
care is impacted by many factors. This
may include factors as varied as labor
conditions, patient mix, industry
margins, and competitive pressures.
Congress changed the home health
prospective payment system in the BBA
of 2018 and instructed CMS to further
adjust payment rates to account for
differences between the behavior
changes we predicted in the CY 2019
rule and the actual behavior changes we
have observed since the implementation
of the PDGM in CY 2020. We are
implementing these payment
adjustments in a time and manner
appropriate in accordance with the law,
while mindful of possible disruptions
this implementation may cause to the
services to which beneficiaries are
entitled. Our analysis continues to
suggest that the permanent adjustment
we are finalizing here to the CY 2025
base payment rate should not materially
affect access to the Medicare home
health benefit.
Final Decision: We continue to adhere
to the methodology finalized in the CY
2023 HH PPS final rule (87 FR 66804).
However, as in previous years, we are
committed to remaining responsive to
commenter concern regarding on-going
permanent rate adjustments. We
acknowledge that while we must
comply with the statutory requirement
that CMS ensure the estimated aggregate
expenditures under the PDGM are equal
to the estimated aggregate expenditures
that would have been made under the
prior system, we have the discretion to
implement any adjustment in a time and
manner determined appropriate.
Therefore, in response to commenter
concerns, we are finalizing a ¥1.975
percent (half of the proposed ¥3.95
percent) permanent adjustment for CY
2025. This approach of applying half of
the amount proposed for the permanent
adjustment is aligned with the approach
finalized in the CY 2023 HH PPS final
rule (87 FR 66808) and the CY 2024 HH
PPS final rule (88 FR 77697) where CMS
finalized half of the remaining
permanent adjustment, as indicated by
the most recently available claims data.
However, again, we note the permanent
adjustment to account for actual
behavior changes in CYs 2020 through
2023, should be ¥3.95 percent, which
includes the remaining ‘‘half’’ from the
CY 2024 HH PPS final rule, and the
additional adjustment based on CY 2023
data. Therefore, applying a ¥1.975
percent permanent adjustment to the CY
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88373
2025 30-day payment rate would not
adjust the rate fully to account for
differences in behavior changes on
estimated aggregate expenditures during
those years. We will have to account for
that difference, and any other potential
adjustments needed to the base payment
rate, to account for behavior change
based on data analysis in future
rulemaking. CMS did not propose to
adjust the CY 2025 base payment rate
using our temporary adjustment
authority, as section 1895(b)(3)(D)(iii) of
the Act allows any adjustment to be
made in a time and manner deemed
appropriate by the Secretary. However,
we remind readers that without the full
permanent adjustment (¥3.95 percent)
in effect, the total temporary dollar
amount will continue to increase until
the full permanent adjustment is
implemented.
D. CY 2025 Home Health Low
Utilization Payment Adjustment (LUPA)
Thresholds, Functional Impairment
Levels, Comorbidity Sub-Groups, CaseMix Weights, and Reassignment of
Specific ICD–10–CM Codes Under the
PDGM
1. CY 2025 PDGM LUPA Thresholds
Under the HH PPS, LUPAs are paid
when a certain visit threshold for a
payment group during a 30-day period
of care is not met. In the CY 2019 HH
PPS final rule with comment period (83
FR 56492), we finalized a policy setting
the LUPA thresholds at the 10th
percentile of visits or two visits,
whichever is higher, for each payment
group. This means the LUPA threshold
for each 30-day period of care varies
depending on the PDGM payment group
to which it is assigned. If the LUPA
threshold for the payment group is met
under the PDGM, the 30-day period of
care will be paid the full 30-day period
case-mix adjusted payment amount
(subject to any partial payment
adjustment or outlier adjustments). If a
30-day period of care does not meet the
PDGM LUPA visit threshold, then
payment will be made using the pervisit payment amounts as described in
section II.E.4.c. of this final rule. For
example, if the LUPA visit threshold is
four, and a 30-day period of care has
four or more visits, it is paid the full 30day period payment amount; if the
period of care has three or fewer visits,
payment is made using the per-visit
payment amounts.
In the CY 2019 HH PPS final rule with
comment period (83 FR 56492), we
finalized our policy that the LUPA
thresholds for each PDGM payment
group will be reevaluated every year
based on the most current utilization
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data available at the time of rulemaking.
However, as CY 2020 was the first year
of the new case-mix adjustment
methodology, we stated in the CY 2021
HH PPS final rule (85 FR 70305, 70306)
that we will maintain the LUPA
thresholds that were finalized and
shown in table 17 of the CY 2020 HH
PPS final rule with comment period (84
FR 60522) for CY 2021 payment
purposes. We stated that at that time, we
did not have sufficient CY 2020 data to
reevaluate the LUPA thresholds for CY
2021.
In the CY 2022 HH PPS final rule with
comment period (86 FR 62249), we
finalized the proposal to recalibrate the
PDGM case-mix weights, functional
impairment levels, and comorbidity
subgroups while maintaining the LUPA
thresholds for CY 2022. We stated that
because there are several factors that
contribute to how the case-mix weight
is set for a particular case-mix group
(such as the number of visits, length of
visits, types of disciplines providing
visits, and non-routine supplies) and the
case-mix weight is derived by
comparing the average resource use for
the case-mix group relative to the
average resource use across all groups,
we believe the COVID–19 PHE will have
impacted utilization within all case-mix
groups similarly. Therefore, the impact
of any reduction in resource use caused
by the PHE on the calculation of the
case-mix weight will be minimized
since the impact will be accounted for
both in the numerator and denominator
of the formula used to calculate the
case-mix weight. However, in contrast,
the LUPA thresholds are based on the
number of overall visits in a particular
case-mix group (the threshold is the
10th percentile of visits or 2 visits,
whichever is greater) instead of a
relative value (like what is used to
generate the case-mix weight) that will
control for the impacts of the COVID–
19 PHE. We noted that visit patterns and
some of the decrease in overall visits in
CY 2020 may not be representative of
visit patterns in CY 2022. Therefore, to
mitigate any potential future and
significant short-term variability in the
LUPA thresholds due to the COVID–19
PHE, we finalized the proposal to
maintain the LUPA thresholds finalized
and displayed in table 17 in the CY
2020 HH PPS final rule with comment
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period (84 FR 60522) for CY 2022
payment purposes.
For CY 2024, we proposed to update
the LUPA thresholds using CY 2022
Medicare home health claims (as of
March 17, 2023) linked to OASIS
assessment data. We believed that CY
2022 data will be more indicative of
visit patterns in CY 2024 rather than
continuing to use the LUPA thresholds
derived from the CY 2018 data prePDGM. Therefore, we finalized a policy
to update the LUPA thresholds for CY
2024 using data from CY 2022.
For CY 2025, we proposed to update
the LUPA thresholds using CY 2023
home health claims utilization data
(using more complete CY 2023 claims
data as of July 11, 2024), in accordance
with our policy to annually recalibrate
the case-mix weights and update the
LUPA thresholds, functional
impairment levels and comorbidity
subgroups. After reviewing the CY 2023
home health claims utilization data, we
determined that LUPA visit patterns in
2023 were similar to visits in 2021 and
a total of eight case-mix groups have a
decline in their LUPA threshold of a
single visit. The proposed LUPA
thresholds for the CY 2025 PDGM
payment groups with the corresponding
Health Insurance Prospective Payment
System (HIPPS) codes and the case-mix
weights can be found in the CY 2025
HH PPS proposed rule (89 FR 55349).
We solicited public comment on the
proposed updates to the LUPA
thresholds for CY 2025.
Comment: All commenters expressed
support for the updated LUPA
thresholds and recognized that this
adjustment helps align payments more
closely with evolving care delivery and
improves payment accuracy.
Response: We thank the commenters
for their support.
Final Decision: We are finalizing the
proposal to update the LUPA thresholds
for CY 2025 using CY 2023 claims data
(as of July 11, 2024). The final LUPA
thresholds for the CY 2025 PDGM
payment groups with the corresponding
Health Insurance Prospective Payment
System (HIPPS) codes and the case-mix
weights are listed in table 7 and is also
available on the HHA Center web page,
located at https://www.cms.gov/
medicare/enrollment-renewal/
providers-suppliers/home-healthagency-center.
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2. CY 2025 Functional Impairment
Levels
Under the PDGM, the functional
impairment level is determined by
responses to certain OASIS items
associated with activities of daily living
and risk of hospitalization; that is,
responses to OASIS items M1800–
M1860 and M1033. A home health
period of care receives points based on
each of the responses associated with
these functional OASIS items, which are
then converted into a table of points
corresponding to increased resource
use. The sum of all these points results
in a functional impairment score which
is used to group home health periods
into a functional level with similar
resource use. That is, the higher the
points, the more the response is
associated with increased resource use,
or increased impairment. The three
functional impairment levels of low,
medium, and high were designed so that
approximately one-third of home health
periods from each clinical group falls
within each level. This means home
health periods in the low impairment
level have responses for the functional
OASIS items that are associated with
the lowest resource use, on average.
Home health periods in the high
impairment level have responses for the
functional OASIS items that are
associated with the highest resource use
on average.
For CY 2025, we proposed to use CY
2023 claims data to update the
functional points and functional
impairment levels by clinical group.
The CY 2018 HH PPS proposed rule (82
FR 35320) and the technical report from
December 2016, posted on the Home
Health PPS Archive web page, located at
https://www.cms.gov/medicare/homehealth-pps/home-health-pps-archive,
provides a more detailed explanation as
to the construction of the functional
impairment levels using the OASIS
items. We proposed to use the same
methodology previously finalized to
update the functional impairment levels
for CY 2025. The final updated OASIS
functional points table and the table of
functional impairment levels by clinical
group for CY 2025 are listed in tables 7
and 8, respectively.
BILLING CODE 4120–01–P
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88375
TABLE 7: FINAL OASIS POINTS TABLE FOR CY 2025
Responses
0 or 1
2 or 3
0 or 1
2 or 3
0 or 1
2
3
0 or 1
2
3 or4
5 or 6
0 or 1
2, 3 or 4
0
1
2, 3, 4 or 5
0 or 1
2
3
4, 5 or 6
Three or fewer items
marked (Excluding
responses 8, 9 or 10)
Four or more items
marked (Excluding
responses 8, 9 or 10)
M1800: Grooming
M1810: Current Ability to Dress Upper Body
M1820: Current Ability to Dress Lower Body
M1830: Bathing
M1840: Toilet Transferring
M1850: Transferring
M1860: Ambulation/Locomotion
Ml033: Risk of Hospitalization
Points
(2023)
0
3
0
5
0
3
11
0
3
10
18
0
5
0
1
4
0
6
2
18
Percent of
Periods in
2023 with this
Response
Catee:orv
25.4%
74.6%
19.5%
80.5%
9.3%
65.3%
25.4%
2.4%
10.0%
49.6%
38.0%
61.0%
39.0%
1.2%
18.8%
80.0%
3.1%
13.8%
65.2%
17.8%
0
58.9%
12
41.1%
Source: CY 2023 Home Health Claims Data, Periods that end in CY 2023 accessed from the CCW on July 11, 2024.
Note: For item Ml 860, the point values for response 2 is worth more than the point values for response 3. There may be times
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in which the resource use for certain OASIS items associated with functional impairment will result in a seemingly inverse
relationship to the response reported. However, this is the result of the direct association between the responses reported on the
OASIS items and actual resource use.
88376
Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
TABLE 8: FINAL THRESHOLDS FOR FUNCTIONAL LEVELS BY CLINICAL
GROUP, FOR CY 2025
Clinical Group
MMTA-Other
Behavioral Health
Complex Nursing Interventions
Musculoskeletal Rehabilitation
Neuro Rehabilitation
Wound
MMT A - Surgical Aftercare
MMT A - Cardiac and Circulatory
MMTA - Endocrine
MMT A - Gastrointestinal tract and
Genitourinary system
MMTA- Infectious Disease, Neoplasms, and
Blood-Forming Diseases
MMTA - Respiratory
Level of
Impairment
Low
Medium
High
Low
Medium
High
Low
Medium
High
Low
Medium
High
Low
Medium
High
Low
Medium
High
Low
Medium
High
Low
Medium
High
Low
Medium
High
Low
Medium
High
Low
Medium
High
Low
Medium
High
Points
(2023)
0-28
29-43
44+
0-28
29-44
45+
0-29
30-52
53+
0-29
30-43
44+
0-33
34-49
50+
0-32
33-48
49+
0-27
28-40
41+
0-27
28-40
41+
0-27
28-40
41+
0-32
33-47
48+
0-31
32-44
45+
0-32
33-44
45+
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BILLING CODE 4120–01–C
We solicited public comment on the
updates to functional points and the
functional impairment levels by clinical
group.
Comment: Several commenters
opposed the proposed updates to the CY
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2025 functional impairment points and
levels. These commenters contend that
the assignment of functional
impairment levels appears arbitrary and
requested that CMS refrain from making
additional changes to the functional
scoring system that would affect level
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assignments until the impact of CY 2024
updates is fully understood. Several
commenters expressed concerns that the
proposed functional impairment levels
may not accurately reflect the actual
functional status of home health
patients, particularly those with
E:\FR\FM\07NOR2.SGM
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ER07NO24.019
Source: CY 2023 Home Health Claims Data, Periods that end in CY 2023 accessed from the CCW on July 11, 2024.
Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
lotter on DSK11XQN23PROD with RULES2
complex or higher-acuity conditions.
Specifically, they stated that patients
with significant needs for assistance
with activities of daily living may not be
adequately represented within the
proposed levels, potentially leading to a
misalignment between the resources
required to provide care and the
associated payment structure.
Additionally, commenters noted that
the agency’s proposed recalibration for
CY 2025 does not sufficiently account
for what the commenters say is a fact
that patients entering home health care
post-COVID–19 pandemic are, on
average, more impaired than they were
prior to the pandemic. Commenters
stated that they believe this marks the
fourth consecutive year in which
changes to functional item scoring have
been finalized without fully considering
the impacts of the changes implemented
in the previous year (that is, CY 2024
changes for CY 2025 rulemaking).
Commenters requested that CMS delay
finalizing any updates to the functional
domain methodology until CY 2026,
when post-pandemic data from 2024
can be fully analyzed to assess the
appropriateness of further
modifications.
Response: We appreciate the
commenters’ recommendations.
However, we maintain that annual
recalibration is essential to ensure the
most accurate and current assessment of
the relationship between resource use
and functional points, functional
threshold levels, comorbidities,
utilization thresholds, and case-mix
weights. As such, we do not agree with
delaying updates to the functional
impairment points and levels for CY
2025. We continue to believe that using
the most up-to-date data to revise
functional impairment levels is critical
to ensuring that all variables used in the
case-mix adjustment process align with
the actual costs of delivering home
health services. We would also like to
remind commenters that the functional
impairment levels are structured so that
approximately one-third of periods
within each clinical group are assigned
to low, medium, and high categories,
ensuring that the case-mix system
appropriately reflects differences in
functional impairment. This
classification of functional impairment
into low, medium, and high levels has
been a fundamental component of the
HH PPS since its implementation. The
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previous HH PPS grouped home health
episodes using functional scores based
on functional OASIS items with similar
average resource use within the same
functional level, with approximately a
third of episodes classified as low
functional score, a third of episodes
classified as medium functional score,
and a third of episodes classified as high
functional score. Likewise, the PDGM
groups home health periods of care
using functional impairment scores
based on functional OASIS items with
similar resource use and has three levels
of functional impairment severity: low,
medium, and high. However, the PDGM
differs from the previous HH PPS
functional variable, in that the three
functional impairment level thresholds
in the PDGM vary between the clinical
groups. As such, the PDGM functional
impairment structure accounts for
patient characteristics within each
clinical group that are associated with
increased resource use due to functional
impairment. This ensures that payment
is more accurately aligned with patient
characteristics, including beneficiaries
who have greater need with activities of
daily living (ADLs) and who are more
functionally impaired. Regardless of
whether patients entering home health
are more impaired due to the postCOVID environment or any other
influence, the functional levels capture
the relationship between functional
status as indicated on the OASIS with
resource use captured on claims. As
such, updating the functional levels
would specifically capture any increase
in functional impairment and any
increase in resource use associated with
ADLs.
Final Decision: We are finalizing the
functional points and functional
impairment level updates for CY 2025
as proposed, using updated CY 2023
claims data (as of July 11, 2024).
3. CY 2025 Comorbidity Subgroups
Thirty-day periods of care receive a
comorbidity adjustment category based
on the presence of certain secondary
diagnoses reported on home health
claims. These diagnoses are based on a
home-health specific list of clinically
and statistically significant secondary
diagnosis subgroups with similar
resource use, meaning the diagnoses
have at least as high as the median
resource use and are reported in more
than 0.1 percent of 30-day periods of
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88377
care. Home health 30-day periods of
care can receive a comorbidity
adjustment under the following
circumstances:
• High comorbidity adjustment:
There are two or more secondary
diagnoses on the home health-specific
comorbidity subgroup interaction list
that are associated with higher resource
use when both are reported together
compared to when they are reported
separately. That is, the two diagnoses
may interact with one another, resulting
in higher resource use.
• Low comorbidity adjustment: There
is a reported secondary diagnosis on the
home health-specific comorbidity
subgroup list that is associated with
higher resource use.
• No comorbidity adjustment: A 30day period of care receives no
comorbidity adjustment if no secondary
diagnoses exist or do not meet the
criteria for a low or high comorbidity
adjustment.
In the CY 2019 HH PPS final rule with
comment period (83 FR 56406), we
stated that we will continue to examine
the relationship of reported
comorbidities on resource utilization
and make the appropriate payment
refinements to help ensure that payment
is in alignment with the actual costs of
providing care. For CY 2025, we
proposed to use the same methodology
used to establish the comorbidity
subgroups to update the comorbidity
subgroups using CY 2023 home health
data with linked OASIS data.
For CY 2025, we proposed to update
the comorbidity subgroups to include 22
low comorbidity adjustment subgroups
and 97 high comorbidity adjustment
interaction subgroups. The proposed CY
2025 low comorbidity adjustment
subgroups and the high comorbidity
adjustment interaction subgroups
including those diagnoses within each
of these comorbidity adjustments was
included in the CY 2025 HH PPS
proposed rule (89 FR 55340).
We invited comments on the
proposed updates to the low
comorbidity adjustment subgroups and
the high comorbidity adjustment
interactions for CY 2025.
Using more updated claims data, for
CY 2025 there are 22 low comorbidity
subgroups, and 94 high comorbidity
subgroups as shown in tables 9 and 10.
BILLING CODE 4120–01–P
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Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
TABLE 9: LOW COMORBIDITY ADJUSTMENT SUBGROUPS FOR CY 2025
Low Comorbidit) Subgroup
Cerebral 4
Circulatory 10
Circulatory 2
Circulatory 9
Endocrine 3
Endocrine 4
Gastrointestinal 2
Heart 10
Heart 11
Neoplasms 1
Neoplasms 17
Neoplasms 18
Neoplasms 2
Neoplasms 20
Neurological 10
Neurological 11
Neurological 12
Neurological 5
Neurological 7
Skin 1
Skin 3
Skin4
Description
Sequelae of Cerebrovascular Diseases, includes Cerebral Atherosclerosis and Stroke Sequelae
Varicose Veins and Lvmphedema
Hemolytic, Aplastic, and Other Anemias
Other Venous Embolism and Thrombosis
Type 1, Type 2, and Other Specified Diabetes
Other Combined Immunodeficiencies and Malnutrition, includes graft-versus-host-disease
Intestinal Obstruction and Ileus
Dysrhvthmias, includes Atrial Fibrillation and Atrial Flutter
Heart Failure
Malignant Neoplasms of Lip, Oral Cavity and Pharynx, includes Head and Neck Cancers
Secondarv neoplasms ofrespiratory and GI systems.
Secondarv Neoplasms ofUrinarv and Reproductive Systems, Skin, Brain, and Bone
Malignant Neoplasms of Digestive Organs, includes Gastrointestinal Cancers
Non-Hodgkin's Lvmnhoma
Diabetes with neuropathy
Disease of the Macula and Blindness/Low Vision
N ondiabetic neuropathy
Spinal Muscular Atrophy, Systemic atrophy and Motor Neuron Disease
Paraplegia, Hemiplegia and Quadriplegia
Cutaneous Abscess, Cellulitis, and Lymphangitis
Diseases of arteries, arterioles and capillaries with ulceration and non-pressure chronic ulcers
Stages Two-Four and unstageable pressure ulcers by site
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ER07NO24.020
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Source: CY 2023 Home Health Claims Data, Periods that end in CY 2022 accessed on the CCW July 11, 2024.
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E:\FR\FM\07NOR2.SGM
07NOR2
1
Behavioral 2
I
I
2
Behavioral 2
I
I
3
Behavioral 2
I
I
4
Behavioral 2
I
I
5
I
Behavioral 4
I
6
I
Behavioral 4
I
7
Behavioral 5
I
I
8
Behavioral 5
I
I
9
I
Behavioral 5
10
I
Behavioral 5
11
I
Cerebral 4
I
12
I
Cerebral 4
I
13
I
Cerebral 4
I
14
I
Cerebral 4
I
15
I
Cerebral 4
I
16
I
Cerebral 4
I
17
I
Cerebral 4
I
18
I
Cerebral 4
I
I
I
I
Circulatory 10
I
Neurological 7
Paraplegia, Hemiplegia and Quadriplegia
Diseases of arteries, arterioles and capillaries with
ulceration and non-pressure chronic ulcers
Stages Two-Four and unstageable pressure ulcers
bv site
Skin 3
Skin4
Skin 3
Diseases of arteries, arterioles and capillaries with
ulceration and non-pressure chronic ulcers
Skin4
Stages Two-Four and unstageable pressure ulcers
by site
Neurological 5
Spinal Muscular Atrophy, Systemic atrophy and
Motor Neuron Disease
Neurological 7
Paraplegia, Hemiplegia and Quadriplegia
Skin 1
Cutaneous Abscess, Cellulitis, and Lymphangitis
Diseases of arteries, arterioles and capillaries with
ulceration and non-pressure chronic ulcers
Atherosclerosis, includes Peripheral Vascular
Disease, Aortic Aneurysms and Hypotension
Skin 3
Circulatory 7
I
Varicose Veins and Lymphedema
Circulatory 9
Other Venous Embolism and Thrombosis
Endocrine 3
Type 1, Type 2, and Other Specified Diabetes
Heart 10
Dysrhythmias, includes Atrial Fibrillation and
Atrial Flutter
Neurological 10
Diabetes with neuropathy
Neurological 12
I
N ondiabetic neuropathy
Respiratory 2
Whooping cough
Skin 3
Diseases of arteries, arterioles and capillaries with
ulceration and non-pressure chronic ulcers
88379
Mood Disorders, includes Depression and Bipolar
Disorder
Mood Disorders, includes Depression and Bipolar
Disorder
Mood Disorders, includes Depression and Bipolar
Disorder
Mood Disorders, includes Depression and Bipolar
Disorder
Psychotic, major depressive, and dissociative
disorders, includes unspecified dementia, eating
disorder and intellectual disabilities
Psychotic, major depressive, and dissociative
disorders, includes unspecified dementia, eating
disorder and intellectual disabilities
Phobias, Other Anxiety and Obsessive Compulsive
Disorders
Phobias, Other Anxiety and Obsessive Compulsive
Disorders
Phobias, Other Anxiety and Obsessive Compulsive
Disorders
Phobias, Other Anxiety and Obsessive Compulsive
Disorders
Sequelae of Cerebrovascular Diseases, includes
Cerebral Atherosclerosis and Stroke Sequelae
Sequelae of Cerebrovascular Diseases, includes
Cerebral Atherosclerosis and Stroke Seguelae
Sequelae of Cerebrovascular Diseases, includes
Cerebral Atherosclerosis and Stroke Sequelae
Sequelae of Cerebrovascular Diseases, includes
Cerebral Atherosclerosis and Stroke Sequelae
Sequelae of Cerebrovascular Diseases, includes
Cerebral Atherosclerosis and Stroke Seguelae
Sequelae of Cerebrovascular Diseases, includes
Cerebral Atherosclerosis and Stroke Seguelae
Sequelae of Cerebrovascular Diseases, includes
Cerebral Atherosclerosis and Stroke Se uelae
Sequelae of Cerebrovascular Diseases, includes
Cerebral Atherosclerosis and Stroke Sequelae
Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
19:11 Nov 06, 2024
ER07NO24.021
TABLE 10: HIGH COMORBIDITY ADJUSTMENT INTERACTIONS FOR CY 2025
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88380
VerDate Sep<11>2014
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Circulatory 10
23
Circulatory 10
Varicose Veins and Lymphedema
Endocrine 1
I
Circulatory l
I
20
I
Circulatory 1
I
21
I
Circulatory 1
I
Neurological 7
Skin 1
Diseases of arteries, arterioles and capillaries with
ulceration and non- ressure chronic ulcers
#NIA
Circulatory 4
Circulatory 10
Varicose Veins and Lymphedema
Endocrine 5
25
I
Circulatory 10
Varicose Veins and Lymphedema
Frm 00028
26
I
Circulatory 10
Varicose Veins and Lymphedema
Heart 11
Musculoskeletal
3
27
I
Circulatory 10
Varicose Veins and Lymphedema
Renal 3
Fmt 4701
28
I
Circulatory 10
Varicose Veins and Lymphedema
Skin 1
29
I
Circulatory 10
Varicose Veins and Lymphedema
Skin 3
30
I
Circulatory 2
Hemolytic, Aplastic, and Other Anemias
Sfmt 4725
PO 00000
I
Paraplegia, Hemiplegia and Quadriplegia
Cutaneous Abscess, Cellulitis, and Lymphangitis
Skin 3
24
E:\FR\FM\07NOR2.SGM
07NOR2
ER07NO24.022
I
Hypothyroidism
Obesity, and Disorders of Metabolism and Fluid
Balance
Heart Failure
Joint Pain
Other disorders of the kidney and ureter, excluding
chronic kidney disease and ESRD
Cutaneous Abscess, Cellulitis, and Lymphangitis
Diseases of arteries, arterioles and capillaries with
ulceration and non-pressure chronic ulcers
31
Circulatory 2
Hemolytic, Aplastic, and Other Anemias
Gastrointestinal
2
Neurological 7
32
Circulatory 4
Hypertensive Chronic Kidney Disease
Circulatory 9
Other Venous Embolism and Thrombosis
33
Circulatory 4
Hypertensive Chronic Kidney Disease
Neurological 7
Hypertensive Chronic Kidney Disease
Skin 3
Paraplegia, Hemiplegia and Quadriplegia
Diseases of arteries, arterioles and capillaries with
ulceration and non-pressure chronic ulcers
Spinal Muscular Atrophy, Systemic atrophy and
Motor Neuron Disease
Diseases of arteries, arterioles and capillaries with
ulceration and non-pressure chronic ulcers
Other Combined Immunodeficiencies and
Malnutrition, includes graft-versus-host-disease
Other disorders of the kidney and ureter, excluding
chronic kidney disease and ESRD
Malignant Neoplasms of Digestive Organs,
includes Gastrointestinal Cancers
Paraplegia, Hemiplegia and Quadriplegia
Diseases of arteries, arterioles and capillaries with
ulceration and non-pressure chronic ulcers
34
I
Circulatory 4
35
I
Circulatory 7
I
36
I
Circulatory 7
I
37
I
Circulatory 9
I
Other Venous Embolism and Thrombosis
38
I
Circulatory 9
I
Other Venous Embolism and Thrombosis
39
I
Endocrine 1
40
I
Endocrine 1
41
I
Endocrine 1
I
I
I
Atherosclerosis, includes Peripheral Vascular
Disease Aortic Aneurvsms and Hypotension
Atherosclerosis, includes Peripheral Vascular
Disease, Aortic Aneurvsms and Hypotension
Intestinal Obstruction and Ileus
Neurological 5
Skin 3
Endocrine 4
I
Renal 3
Hypothyroidism
Neoplasms 2
Hypothyroidism
Neurological 7
Hypothyroidism
Skin 3
I
Paraplegia, Hemiplegia and Quadriplegia
Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
19:11 Nov 06, 2024
22
Nutritional, Enzymatic, and Other Heredity
Anemias
Nutritional, Enzymatic, and Other Heredity
Anemias
Nutritional, Enzymatic, and Other Heredity
Anemias
Varicose Veins and Lymphedema
19
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07NOR2
Endocrine 3
43
I
Endocrine 3
44
I
Endocrine 3
I
45
I
Endocrine 4
I
46
I
Endocrine 4
I
47
I
Endocrine 4
I
48
I
Endocrine 4
I
49
I
Endocrine 4
I
50
I
Endocrine 5
I
51
I
Endocrine 5
I
52
I
Endocrine 5
I
53
I
Gastrointestinal 4
I
54
I
Heart 10
I
55
I
Heart 10
I
56
I
Heart 10
I
57
I
Heart 11
I
Heart Failure
Neurological 5
58
I
Heart 11
I
Heart Failure
Neurological 7
59
I
Heart 11
I
Heart Failure
60
I
Heart 11
I
Heart Failure
Skin 4
61
I
Heart 12
I
Other Heart Diseases
Neurological 7
62
I
Heart 12
I
Other Heart Diseases
Skin 3
63
I
Heart 5
I
Atherosclerotic Heart Disease with Angina
Neurological 10
I
I
Type 1, Type 2, and Other Specified Diabetes
Endocrine 4
Type 1, Type 2, and Other Specified Diabetes
Neurological 7
Type 1, Type 2, and Other Specified Diabetes
Skin 3
Other Combined Immunodeficiencies and
Malnutrition, includes graft-versus-host-disease
Other Combined Immunodeficiencies and
Malnutrition, includes 1Q:aft-versus-host-disease
Other Combined Immunodeficiencies and
Malnutrition, includes graft-versus-host-disease
Other Combined Immunodeficiencies and
Malnutrition, includes graft-versus-host-disease
Other Combined Immunodeficiencies and
Malnutrition, includes graft-versus-host-disease
Obesity, and Disorders of Metabolism and Fluid
Balance
Obesity, and Disorders of Metabolism and Fluid
Balance
Obesity, and Disorders of Metabolism and Fluid
Balance
Alcoholic Liver Disease, Chronic Hepatitis,
Fibrosis and Cirrhosis of the Liver
Dysrhythmias, includes Atrial Fibrillation and
Atrial Flutter
Dysrhythmias, includes Atrial Fibrillation and
Atrial Flutter
Dysrhythmias, includes Atrial Fibrillation and
Atrial Flutter
Neurological 5
Neurological 7
Paraplegia, Hemiplegia and Quadriplegia
Skin 1
Cutaneous Abscess, Cellulitis, and Lymphangitis
Skin 3
Skin 4
Neurological 5
Neurological 7
Skin 3
Skin 3
Neurological 7
Skin 3
Skin 4
I
Other Combined Immunodeficiencies and
Malnutrition, includes graft-versus-host-disease
Paraplegia, Hemiplegia and Quadriplegia
Diseases of arteries, arterioles and capillaries with
ulceration and non-pressure chronic ulcers
Spinal Muscular Atrophy, Systemic atrophy and
Motor Neuron Disease
Skin 3
Diseases of arteries, arterioles and capillaries with
ulceration and non-pressure chronic ulcers
Stages Two-Four and unstageable pressure ulcers
by site
Spinal Muscular Atrophy, Systemic atrophy and
Motor Neuron Disease
Paraplegia, Hemiplegia and Quadriplegia
Diseases of arteries, arterioles and capillaries with
ulceration and non-pressure chronic ulcers
Diseases of arteries, arterioles and capillaries with
ulceration and non-pressure chronic ulcers
Paraplegia, Hemiplegia and Quadriplegia
Diseases of arteries, arterioles and capillaries with
ulceration and non-pressure chronic ulcers
Stages Two-Four and unstageable pressure ulcers
by site
Spinal Muscular Atrophy, Systemic atrophy and
Motor Neuron Disease
Paraplegia, Hemiplegia and Quadriplegia
Diseases of arteries, arterioles and capillaries with
ulceration and non-2ressure chronic ulcers
Stages Two-Four and unstageable pressure ulcers
b site
Paraplegia, Hemiplegia and Quadriplegia
Diseases of arteries, arterioles and capillaries with
ulceration and non- ressure chronic ulcers
Diabetes with neuropathy
88381
I
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42
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88382
VerDate Sep<11>2014
65
I
Heart 9
66
I
Infectious 1
67
I
Infectious 1
68
I
69
I
Other Pulmonary Heart Diseases
I
Skin 3
I
Skin 3
C-diff, MRSA, E-coli
Neurological 7
I
C-diff, MRSA, E-coli
Skin 3
Infectious 1
I
C-diff, MRSA, E-coli
I
Skin4
I
I
Musculoskeletal 3
I
Joint Pain
I
Neurological 5
I
70
I
Musculoskeletal 3
I
Joint Pain
I
Skin 3
71
I
Musculoskeletal 3
I
Joint Pain
I
Skin4
72
I
Musculoskeletal 4
Lumbar Spinal Stenosis
Skin 3
73
I
Neurological 10
Diabetes with neuropathy
Neurological 7
74
I
Neurological 10
Diabetes with neuropathy
Skin 1
75
I
Neurological 10
Diabetes with neuropathy
Skin 3
76
I
Neurological 10
Diabetes with neuropathy
Skin4
77
I
Neurological 12
N ondiabetic neuropathy
Neurological 7
78
I
Neurological 12
N ondiabetic neuropathy
Skin 3
79
I
Neurological 4
Alzheimer's disease and related dementias
Skin4
80
I
Neurological 5
81
I
Neurological 7
Spinal Muscular Atrophy, Systemic atrophy and
Motor Neuron Disease
Paraplegia, Hemiplegia and Quadriplegia
82
I
Neurological 7
Paraplegia, Hemiplegia and Quadriplegia
83
I
Neurological 7
84
I
Neurological 7
Paraplegia, Hemiplegia and Quadriplegia
Skin4
85
I
Renal 1
Chronic kidney disease and ESRD
Skin 1
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Valve Disorders
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07NOR2
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I
I
I
I
Paraplegia, Hemiplegia and Quadriplegia
Neurological 7
Neurological 8
Renal 3
I
Respiratory 5
I
I
Diseases of arteries, arterioles and capillaries with
ulceration and non-2ressure chronic ulcers
Diseases of arteries, arterioles and capillaries with
ulceration and non-pressure chronic ulcers
Paraplegia, Hemiplegia and Quadriplegia
Diseases of arteries, arterioles and capillaries with
ulceration and non-2ressure chronic ulcers
Stages Two-Four and unstageable pressure ulcers
b site
Spinal Muscular Atrophy, Systemic atrophy and
Motor Neuron Disease
Diseases of arteries, arterioles and capillaries with
ulceration and non-2ressure chronic ulcers
Stages Two-Four and unstageable pressure ulcers
b site
Diseases of arteries, arterioles and capillaries with
ulceration and non-pressure chronic ulcers
Paraplegia, Hemiplegia and Quadriplegia
Cutaneous Abscess, Cellulitis, and Lymphangitis
Diseases of arteries, arterioles and capillaries with
ulceration and non-2ressure chronic ulcers
Stages Two-Four and unstageable pressure ulcers
bv site
Paraplegia, Hemiplegia and Quadriplegia
Diseases of arteries, arterioles and capillaries with
ulceration and non-2ressure chronic ulcers
Stages Two-Four and unstageable pressure ulcers
bv site
Paraplegia, Hemiplegia and Quadriplegia
Epilepsy
Other disorders of the kidney and ureter, excluding
chronic kidney disease and ESRD
Chronic Obstructive Pulmonary Disease, and
I
Asthma2 and Bronchiectasis
Stages Two-Four and unstageable pressure ulcers
b site
Cutaneous Abscess, Cellulitis, and Lymphangitis
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Heart 8
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Renal 1
Chronic kidney disease and ESRD
Skin 3
87
Renal 1
Chronic kidney disease and ESRD
Skin4
88
Renal 3
89
Renal 3
90
Renal 3
91
Respiratory 5
92
Respiratory 9
Respiratory Failure and Atelectasis
Skin4
93
Skin 1
Cutaneous Abscess, Cellulitis, and Lymphangitis
Skin 3
94
Skin 3
Diseases of arteries, arterioles and capillaries with
ulceration and non-pressure chronic ulcers
Skin4
I Other disorders of the kidney and ureter, excluding I
I
I
chronic kidney disease and ESRD
Other disorders of the kidney and ureter, excluding
chronic kidney disease and ESRD
Other disorders of the kidney and ureter, excluding
chronic kidney disease and ESRD
Chronic Obstructive Pulmonary Disease, and
Asthma, and Bronchiectasis
I
I
Skin 1
Skin 3
Skin4
Skin4
Diseases of arteries, arterioles and capillaries with
ulceration and non-pressure chronic ulcers
Stages Two-Four and unstageable pressure ulcers
by site
Cutaneous Abscess, Cellulitis, and Lymphangitis
Diseases of arteries, arterioles and capillaries with
ulceration and non-pressure chronic ulcers
Stages Two-Four and unstageable pressure ulcers
by site
Stages Two-Four and unstageable pressure ulcers
by site
Stages Two-Four and unstageable pressure ulcers
by site
Diseases of arteries, arterioles and capillaries with
ulceration and non-pressure chronic ulcers
Stages Two-Four and unstageable pressure ulcers
by site
07NOR2
Source: CY 2023 Home Health Claims Data, Periods that end in CY 2023 accessed from the CCW July 11, 2024.
Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
19:11 Nov 06, 2024
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88383
ER07NO24.025
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Comment: Several commenters
expressed support for the proposed low
and high comorbidity adjustments,
particularly those pertaining to low
comorbidity adjustments for diagnoses
such as diabetes and endocrine
disorders. Commenters stated these
adjustments will result in more accurate
payment, reflecting the resources
required to effectively manage patients
with these conditions. Additionally,
commenters indicated that the proposed
changes to the comorbidity subgroups
align with the stated objective of
ensuring that payments more accurately
reflect the actual costs of providing care.
Response: We thank commenters for
their support.
Comment: A commenter expressed
concern that the COVID–19 diagnosis
was excluded from the comorbidity
grouping list, despite its continued
impact on elderly and high-risk
patients. Another commenter also
pointed out that Circulatory 1
(nutritional anemias) are grouped with
Skin 3 (non-pressure ulcers), but not
with Skin 4 (pressure ulcers).
Furthermore, Circulatory 2 (hemolytic,
aplastic, and other anemias) are no
longer grouped with either Skin 3 or
Skin 4. Commenters raised concerns as
to why certain anemias are recognized
as having an impact on some ulcer types
but not others. They also stated that the
same principle should apply to
Circulatory 1 and Circulatory 2, as
anemias included in Circulatory 2 are
likely to result in greater complications,
such as compromised strength and skin
integrity, than those in Circulatory 1.
Response: We appreciate commenters’
thorough review of these groupings. As
outlined in the CY 2020 final rule with
comment period (84 FR 60510) and
further detailed in the technical report
‘‘Overview of the Home Health
Groupings Model’’, the Home Health
Specific Comorbidity List stems from
the principles of patient assessment by
providers, as well as the evaluation of
body systems and their associated
diseases, conditions, and injuries. This
framework was used to develop
condition categories that identify
clinically relevant relationships tied to
increased resource use.
We acknowledge the complexity and
breadth of clinical conditions,
comorbidities, and their interactions
within the Medicare home health
population. However, we remind
commenters that only subgroups of
diagnoses representing more than 0.1%
of periods of care, and demonstrating at
least the median resource use, qualify
for a low comorbidity adjustment. For
example, in reference to the
commenter’s concern regarding the
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grouping of Circulatory 1 (nutritional
anemias) with Skin 3 (non-pressure
ulcers), and the exclusion of Circulatory
2 (hemolytic, aplastic, and other
anemias) from both Skin 3 and Skin 4
groupings, these categorizations are
driven by data reflecting resource
utilization patterns. If the anemias in
Circulatory 2 do not demonstrate the
requisite median resource use in
relation to specific ulcer types, such as
Skin 4 (pressure ulcers), they would not
qualify for inclusion in the comorbidity
list. This explains why certain anemias
appear in the comorbidity list for one
ulcer category but not for another
despite clinical similarities or the
potential for greater clinical
complications like compromised
strength and skin integrity. This
methodology for determining statistical
significance was detailed in the CY 2020
final rule with comment period (84 FR
60510). It is based on the understanding
that the aggregate number of
comorbidities within the population
forms the standard for payment
purposes. While we expect HHAs to
report all secondary diagnoses that
impact care planning, nevertheless it is
important to note that certain
comorbidity subgroups included in the
Home Health Specific List may not meet
the criteria for a payment adjustment.
Final Decision: We are finalizing the
updated comorbidity adjustment
subgroups and the high comorbidity
adjustment interactions using CY 2023
home health data. For CY 2025, the final
updated comorbidity adjustment
subgroups include 22 low comorbidity
adjustment subgroups as identified in
table 9 and 94 high comorbidity
adjustment interaction subgroups as
identified in table 10. The final CY 2025
low comorbidity adjustment subgroups
and the high comorbidity adjustment
interaction subgroups including those
diagnoses within each of these
comorbidity adjustments will also be
posted on the HHA Center web page at
https://www.cms.gov/Center/ProviderType/Home-Health-Agency-HHACenter.
4. CY 2025 PDGM Case-Mix Weights
As finalized in the CY 2019 HH PPS
final rule with comment period (83 FR
56502), the PDGM places patients into
meaningful payment categories based on
patient and other characteristics, such
as timing, admission source, clinical
grouping using the reported principal
diagnosis, functional impairment level,
and comorbid conditions. The PDGM
case-mix methodology results in 432
unique case-mix groups called home
health resource groups (HHRGs). We
also finalized a policy in the CY 2019
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HH PPS final rule with comment period
(83 FR 56515) to annually recalibrate
the PDGM case-mix weights using a
fixed effects model with the most recent
and complete utilization data available
at the time of annual rulemaking.
Annual recalibration of the PDGM casemix weights ensures that the case-mix
weights reflect, as accurately as
possible, current home health resource
use and changes in utilization patterns.
To generate the proposed recalibrated
CY 2025 case-mix weights, we used CY
2023 home health claims data with
linked OASIS data (as of March 19,
2024). We included the proposed casemix weights in table 25 of the proposed
rule (89 FR 55351). In this final rule, we
updated these case-mix weights with
claims data as of July 11, 2024, as
shown in table 11. These data are the
most current and complete data
available at the time of rulemaking.
The claims data provide visit-level
data and data on whether non-routine
supplies (NRS) were provided during
the period and the total charges of NRS.
We determine the case-mix weight for
each of the 432 different PDGM
payment groups by regressing resource
use on a series of indicator variables for
each of the categories using a fixed
effects model as described in the
following steps:
Step 1: Estimate a regression model to
assign a functional impairment level to
each 30-day period. The regression
model estimates the relationship
between a 30-day period’s resource use
and the functional status and risk of
hospitalization items included in the
PDGM, which are obtained from certain
OASIS items. We refer readers to table
25 of the proposed rule for further
information on the OASIS items used
for the functional impairment level
under the PDGM. We measure resource
use with the cost-per-minute + NRS
approach that uses information from
2022 home health cost reports. We use
2022 home health cost report data
because it is the most complete cost
report data available at the time of
rulemaking. Other variables in the
regression model include the 30-day
period’s admission source, clinical
group, and 30-day period timing. We
also include home health agency level
fixed effects in the regression model.
After estimating the regression model
using 30-day periods, we divide the
coefficients that correspond to the
functional status and risk of
hospitalization items by 10 and round to
the nearest whole number. Those
rounded numbers are used to compute
a functional score for each 30-day
period by summing together the
rounded numbers for the functional
E:\FR\FM\07NOR2.SGM
07NOR2
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status and risk of hospitalization items
that are applicable to each 30-day
period. Next, each 30-day period is
assigned to a functional impairment
level (low, medium, or high) depending
on the 30-day period’s total functional
score. Each clinical group has a separate
set of functional thresholds used to
assign 30-day periods into a low,
medium or high functional impairment
level. We set those thresholds so that we
assign roughly a third of 30-day periods
within each clinical group to each
functional impairment level (low,
medium, or high).
Step 2: A second regression model
estimates the relationship between a 30day period’s resource use and indicator
variables for the presence of any of the
comorbidities and comorbidity
interactions that were originally
examined for inclusion in the PDGM.
Like the first regression model, this
model also includes home health agency
level fixed effects and includes control
variables for each 30-day period’s
admission source, clinical group,
timing, and functional impairment
level. After we estimate the model, we
assign comorbidities to the low
comorbidity adjustment if any
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comorbidities have a coefficient that is
statistically significant (p-value of 0.05
or less) and which have a coefficient
that is larger than the 50th percentile of
positive and statistically significant
comorbidity coefficients. If two
comorbidities in the model and their
interaction term have coefficients that
sum together to exceed $150 and the
interaction term is statistically
significant (p-value of 0.05 or less), we
assign the two comorbidities together to
the high comorbidity adjustment.
Step 3: After Step 2, each 30-day
period is assigned to a clinical group,
admission source category, episode
timing category, functional impairment
level, and comorbidity adjustment
category. For each combination of those
variables (which represent the 432
different payment groups that comprise
the PDGM), we then calculate the 10th
percentile of visits across all 30-day
periods within a particular payment
group. If a 30-day period’s number of
visits is less than the 10th percentile for
their payment group, the 30-day period
is classified as a Low Utilization
Payment Adjustment (LUPA). If a
payment group has a 10th percentile of
visits that is less than two, we set the
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88385
LUPA threshold for that payment group
to be equal to two. That means if a 30day period has one visit, it is classified
as a LUPA and if it has two or more
visits, it is not classified as a LUPA.
Step 4: Take all non-LUPA 30-day
periods and regress resource use on the
30-day period’s clinical group,
admission source category, episode
timing category, functional impairment
level, and comorbidity adjustment
category. The regression includes fixed
effects at the level of the home health
agency. After we estimate the model, the
model coefficients are used to predict
each 30-day period’s resource use. To
create the case-mix weight for each 30day period, the predicted resource use
is divided by the overall resource use of
the 30-day periods used to estimate the
regression.
The case-mix weight is then used to
adjust the base payment rate to
determine each 30-day period’s
payment. Table 11 shows the
coefficients of the payment regression
used to generate the weights, and the
coefficients divided by average resource
use.
BILLING CODE 4120–01–P
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MMTA- Gastrointestinal tract and Genitourinary system - Low Functional
MMTA - Gastrointestinal tract and Genitourinary system - Medium Functional
MMTA - Gastrointestinal tract and Genitourinary system - High Functional
MMTA - Infectious Disease, Neoplasms, and Blood-Forming Diseases - Low Functional
MMTA - Infectious Disease, Neoplasms, and Blood-Forming Diseases - Medium Functional
MMTA - Infectious Disease, Neoplasms, and Blood-Forming Diseases - High Functional
MMTA - Respiratory - Low Functional
MMTA - Respirato
Behavioral Health - Low Functional
Behavioral Health - Medium Functional
Behavioral Health - High Functional
07NOR2
MS Rehab - Low Functional
MS Rehab - Medium Functional
MS Rehab - High Functional
Neuro - Low Functional
Neuro - Medium Functional
Neuro - High Functional
Wound - Low Functional
ER07NO24.026
$146.94
$308.86
-$43.59
$150.02
$358.75
-$14.06
$127.58
$318.73
$439.39
$556.03
$670.82
-$42.85
$153.47
$298.89
-$18.14
$145.98
$359.62
-$0.07
$159.83
$330.28
-$75.32
$119.39
$282.54
-$76.08
$137.96
$112.02
$58.17
$193.69
$422.68
$200.73
$383.59
$612.76
$599.94
1.2%
1.3%
1.2%
1.2%
1.1%
6.1%
5.9%
6.1%
2.6%
2.3%
2.2%
1.7%
1.7%
1.7%
1.6%
1.6%
1.5%
2.8%
2.2%
2.4%
0.8%
0.7%
0.7%
0.9%
0.9%
0.9%
7.3%
7.2%
7.1%
3.2%
3.2%
3.2%
5.3%
0.0897
0.1886
-0.0266
0.0916
0.2190
-0.0086
0.0779
0.1946
0.2683
0.3395
0.4096
-0.0262
0.0937
0.1825
-0.0111
0.0891
0.2196
0.0000
0.0976
0.2017
-0.0460
0.0729
0.1725
-0.0465
0.0842
0.0684
0.0355
0.1183
0.2581
0.1226
0.2342
0.3741
0.3663
Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
19:11 Nov 06, 2024
MMTA - Other - Medium Functional
MMTA - Other - High Functional
MMTA - Surgical Aftercare - Low Functional
MMTA - Surgical Aftercare - Medium Functional
MMTA - Surgical Aftercare - High Functional
MMTA - Cardiac and Circulatory - Low Functional
MMTA - Cardiac and Circulato
MMTA - Cardiac and Circulatory - High Functional
MMTA - Endocrine - Low Functional
MMTA - Endocrine - Medium Functional
88386
VerDate Sep<11>2014
TABLE 11: COEFFICIENT OF PAYMENT REGRESSION AND COEFFICIENT DIVIDED BY AVERAGE RESOURCE USE
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E:\FR\FM\07NOR2.SGM
$101.92
$346.45
$1,504.69
$1,637.79
7,557,273
0.3144
Source: CY 2023 Home Health Claims Data, Periods that end in CY 2023 accessed on the CCW July 11, 2024.
16.0%
0.2115
07NOR2
Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
19:11 Nov 06, 2024
Adiustment - Has at least one comorbiditv from comorbiditv list, no interaction from interaction list
Comorbiditv Adiustment - Has at least one interaction from interaction list
Constant
Average Resource Use
Number of 30-dav Periods
Adiusted R-Squared
88387
ER07NO24.027
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Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
The final updated case-mix weights
for CY 2025 are listed in table 12 and
will also be posted on the HHA Center
web page 10 upon display of this final
rule.
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10 HHA Center web page: https://www.cms.gov/
Center/Provider-Type/Home-Health-Agency-HHACenter.
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07NOR2
Clinical Croup and Functional Level
Admission Source and Timing
1FC21
1FC31
2FC11
2FC21
2FC31
3FC11
3FC21
3FC31
4FC11
4FC21
4FC31
lFAll
1FA21
1FA31
2FA11
2FA21
2FA31
3FA11
3FA21
3FA31
4FA11
4FA21
4FA31
lFBll
1FB21
1FB31
2FB11
2FB21
2FB31
3FB11
3FB21
3FB31
4FB11
Behavioral Health - High
Behavioral Health - High
Behavioral Health - High
Behavioral Health - High
Behavioral Health - High
Behavioral Health - High
Behavioral Health - High
Behavioral Health - High
Behavioral Health - High
Behavioral Health - High
Behavioral Health - High
Behavioral Health - High
Behavioral Health - Low
Behavioral Health - Low
Behavioral Health - Low
Behavioral Health - Low
Behavioral Health - Low
Behavioral Health - Low
Behavioral Health - Low
Behavioral Health - Low
Behavioral Health - Low
Behavioral Health - Low
Behavioral Health - Low
Behavioral Health - Low
Behavioral Health - Medium
Behavioral Health - Medium
Behavioral Health - Medium
Behavioral Health - Medium
Behavioral Health - Medium
Behavioral Health - Medium
Behavioral Health - Medium
Behavioral Health - Medium
Behavioral Health - Medium
Behavioral Health - Medium
Early - Community
Early - Community
Early - Community
Early - Institutional
Early - Institutional
Early - Institutional
Late - Community
Late - Community
Late - Communitv
Late - Institutional
Late - Institutional
Late - Institutional
Earlv - Communitv
Early - Community
Earlv - Communitv
Early - Institutional
Earlv - Institutional
Early - Institutional
Late - Communitv
Late - Community
Late - Community
Late - Institutional
Late - Institutional
Late - Institutional
Early - Community
Early - Community
Early - Community
Early - Institutional
Early - Institutional
Early - Institutional
Late - Community
Late - Community
Late - Community
Late - Institutional
Comorbidity Adjustment
(0 = none, 1 = single
comorbidily,
2 = inlcradion)
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
Recalibrated Weight
l'or 2025
1.0912
1.1535
1.3028
1.2986
1.3608
1.5101
0.7431
0.8053
0.9546
1.2208
1.2830
1.4323
0.8727
0.9350
1.0843
1.0801
1.1423
1.2916
0.5246
0.5868
0.7361
1.0023
1.0645
1.2138
0.9916
1.0539
1.2032
1.1989
1.2612
1.4105
0.6435
0.7057
0.8550
1.1212
LIIP \ Visit Threshold
(LI I l'As have fe"er visits
than the threshold)
4
4
3
4
4
2
2
2
3
3
4
3
3
3
3
3
3
2
2
2
2
3
2
4
4
4
3
4
4
2
2
2
3
88389
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Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
19:11 Nov 06, 2024
ER07NO24.028
TABLE 12: CASE-MIX WEIGHTS AND LUPA THRESHOLDS FOR EACH HHRG PAYMENT GROUP
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07NOR2
Behavioral Health - Medium
Behavioral Health - Medium
Complex - High
Complex - High
Complex - High
Complex - High
Complex - High
Complex - High
Complex - High
Complex - High
Complex - High
Complex - High
Complex - High
Complex - High
Complex - Low
Complex - Low
Complex - Low
Complex - Low
Complex - Low
Complex - Low
Complex - Low
Complex - Low
Complex - Low
Complex - Low
Complex - Low
Complex - Low
Complex - Medium
Complex - Medium
Complex - Medium
Complex - Medium
Complex - Medium
Complex - Medium
Complex - Medium
Complex - Medium
Complex - Medium
Complex - Medium
Late - Institutional
Late - Institutional
Early - Community
Early - Community
Early - Community
Early - Institutional
Early - Institutional
Early - Institutional
Late - Community
Late - Community
Late - Community
Late - Institutional
Late - Institutional
Late - Institutional
Early - Community
Early - Community
Early - Community
Early - Institutional
Early - Institutional
Early - Institutional
Late - Community
Late - Community
Late - Community
Late - Institutional
Late - Institutional
Late - Institutional
Early - Community
Early - Community
Early - Community
Early - Institutional
Early - Institutional
Early - Institutional
Late - Community
Late - Community
Late - Community
Late - Institutional
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1.1834
1.3327
0.9871
1.0494
1.1987
1.1944
1.2567
1.4060
0.6390
0.7012
0.8505
1.1167
1.1789
1.3282
0.8723
0.9345
1.0838
1.0796
1.1418
1.2911
0.5241
0.5864
0.7357
1.0018
1.0641
1.2134
1.0030
1.0652
1.2145
1.2103
1.2725
1.4218
0.6548
0.7171
0.8664
1.1325
3
3
2
2
2
3
3
3
2
2
2
2
2
2
2
2
2
3
3
3
2
2
2
2
2
3
2
2
2
3
3
4
2
2
2
3
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19:11 Nov 06, 2024
ER07NO24.029
4FB21
4FB31
lDCll
1DC21
1DC31
2DC11
2DC21
2DC31
3DC11
3DC21
3DC31
4DC11
4DC21
4DC31
lDAll
1DA21
1DA31
2DA11
2DA21
2DA31
3DA11
3DA21
3DA31
4DA11
4DA21
4DA31
lDBll
1DB21
1DB31
2DB11
2DB21
2DB31
3DB11
3DB21
3DB31
4DB11
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07NOR2
.\dmission Source and Timing
Complex - Medium
Complex - Medium
MMTA - Cardiac - High
MMTA - Cardiac - High
MMTA - Cardiac - High
MMTA - Cardiac - High
MMTA - Cardiac - High
MMTA - Cardiac - High
MMTA - Cardiac - High
MMTA - Cardiac - High
MMTA - Cardiac - High
MMTA - Cardiac - High
MMTA - Cardiac - High
MMTA - Cardiac - High
MMTA - Cardiac - Low
MMTA - Cardiac - Low
MMTA - Cardiac - Low
MMTA - Cardiac - Low
MMTA - Cardiac - Low
MMTA- Cardiac - Low
MMTA - Cardiac - Low
MMTA - Cardiac - Low
MMTA - Cardiac - Low
MMTA - Cardiac - Low
MMTA - Cardiac - Low
MMTA - Cardiac - Low
MMTA- Cardiac - Medium
MMTA- Cardiac - Medium
MMTA- Cardiac - Medium
MMTA - Cardiac - Medium
MMTA- Cardiac - Medium
MMTA- Cardiac - Medium
MMTA- Cardiac - Medium
MMTA- Cardiac - Medium
MMTA- Cardiac - Medium
MMTA- Cardiac - Medium
Orn,
La"'
Late - Institutional
Early - Community
Early - Community
Early - Community
Early - Institutional
Early - Institutional
Early - Institutional
Late - Community
Late - Community
Late - Community
Late - Institutional
Late - Institutional
Late - Institutional
Early - Community
Early - Community
Early - Community
Early - Institutional
Early - Institutional
Early - Institutional
Late - Community
Late - Community
Late - Community
Late - Institutional
Late - Institutional
Late - Institutional
Early - Community
Early - Community
Early - Community
Early - Institutional
Early - Institutional
Early - Institutional
Late - Community
Late - Community
Late - Community
Late - Institutional
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
Recalibrated Weight
for 2025
1.1948
1.3441
1.1133
1.1756
1.3249
1.3207
1.3829
1.5322
0.7652
0.8274
0.9767
1.2429
1.3051
1.4544
0.9102
0.9724
1.1217
1.1175
1.1797
1.3290
0.5620
0.6242
0.7735
1.0397
1.1019
1.2512
0.9966
1.0589
1.2082
1.2039
1.2662
1.4155
0.6485
0.7107
0.8600
1.1262
I.UP\ Visit Threshold
(Llrr.\s have fewer ,isits
than the threshold)
4
4
4
4
4
4
2
2
3
3
3
4
4
4
3
3
4
4
2
2
2
3
3
3
4
4
4
4
4
4
2
2
2
3
88391
4DB31
lHCll
1HC21
1HC31
2HC11
2HC21
2HC31
3HC11
3HC21
3HC31
4HC11
4HC21
4HC31
lHAll
1HA21
1HA31
2HA11
2HA21
2HA31
3HA11
3HA21
3HA31
4HA11
4HA21
4HA31
lHBll
1HB21
1HB31
2HB11
2HB21
2HB31
3HB11
3HB21
3HB31
4HB11
Clinical Group and Functional Level
Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
19:11 Nov 06, 2024
ER07NO24.030
IIIPPS
Comorbidity Adjustment
(0 = none, I = single
comorbidity,
2 = interaction)
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07NOR2
MMTA - Cardiac - Medium
MMTA - Cardiac - Medium
MMTA - Endocrine - High
MMTA - Endocrine - High
MMTA - Endocrine - High
MMTA - Endocrine - High
MMTA - Endocrine - High
MMTA - Endocrine - High
MMTA - Endocrine - High
MMTA - Endocrine - High
MMTA - Endocrine - High
MMTA - Endocrine - High
MMTA - Endocrine - High
MMTA - Endocrine - High
MMTA - Endocrine - Low
MMTA - Endocrine - Low
MMTA - Endocrine - Low
MMTA - Endocrine - Low
MMTA - Endocrine - Low
MMTA - Endocrine - Low
MMTA - Endocrine - Low
MMTA - Endocrine - Low
MMTA - Endocrine - Low
MMTA - Endocrine - Low
MMTA - Endocrine - Low
MMTA - Endocrine - Low
MMTA - Endocrine - Medium
MMTA - Endocrine - Medium
MMTA - Endocrine - Medium
MMTA - Endocrine - Medium
MMTA - Endocrine - Medium
MMTA - Endocrine - Medium
MMTA - Endocrine - Medium
MMTA - Endocrine - Medium
MMTA - Endocrine - Medium
MMTA - Endocrine - Medium
Late - Institutional
Late - Institutional
Early - Community
Early - Community
Early - Community
Early - Institutional
Early - Institutional
Early - Institutional
Late - Community
Late - Community
Late - Community
Late - Institutional
Late - Institutional
Late - Institutional
Early - Community
Early - Community
Early - Community
Early - Institutional
Early - Institutional
Early - Institutional
Late - Community
Late - Community
Late - Community
Late - Institutional
Late - Institutional
Late - Institutional
Early - Community
Early - Community
Early - Community
Early - Institutional
Early - Institutional
Early - Institutional
Late - Community
Late - Community
Late - Community
Late - Institutional
l
2
0
l
2
0
l
2
0
l
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
l
2
0
l
2
0
l.1884
1.3377
1.3283
l.3906
l.5399
1.5356
l.5979
l.7472
0.9802
1.0424
l.1917
1.4579
1.5201
1.6694
l.1870
1.2492
1.3986
1.3943
1.4566
1.6059
0.8389
0.9011
1.0504
1.3166
1.3788
1.5281
1.2582
1.3205
1.4698
1.4655
1.5278
1.6771
0.9101
0.9723
l.1216
1.3878
3
3
4
4
4
4
4
4
3
3
3
4
4
4
4
4
4
3
4
4
3
3
3
4
3
4
4
4
4
4
4
4
3
3
3
4
Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
19:11 Nov 06, 2024
ER07NO24.031
4HB21
4HB31
lICl l
1IC2l
1IC3l
21Cll
2IC21
2IC31
31Cll
3IC21
3IC31
41Cll
4IC21
4IC31
lIAll
1IA21
1IA31
21All
2IA21
2IA31
31Al 1
3IA21
3IA31
41All
4IA21
4IA31
11B1 l
11B21
11B31
21Bll
2IB2l
2IB31
31Bll
3IB21
3IB31
41Bll
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07NOR2
Late - Institutional
Late - Institutional
Early - Community
Early - Community
Early - Community
Early - Institutional
Early - Institutional
Early - Institutional
Late - Community
Late - Community
Late - Community
Late - Institutional
Late - Institutional
Late - Institutional
Early - Community
Early - Community
Early - Community
Early - Institutional
Early - Institutional
Early - Institutional
Late - Community
Late - Community
Late - Community
Late - Institutional
Late - Institutional
Late - Institutional
Early - Community
Early - Community
Early - Community
Early - Institutional
Early - Institutional
Early - Institutional
Late - Community
Late - Community
Late - Community
Late - Institutional
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1.4500
1.5993
1.1012
1.1635
1.3128
1.3085
1.3708
1.5201
0.7531
0.8153
0.9646
1.2308
1.2930
1.4423
0.8926
0.9548
1.1041
1.0999
1.1621
1.3114
0.5444
0.6067
0.7560
1.0221
1.0844
1.2337
1.0124
1.0747
1.2240
1.2197
1.2820
1.4313
0.6643
0.7265
0.8758
1.1420
4
4
3
3
2
4
3
3
2
2
2
3
3
3
2
2
2
3
3
3
2
2
2
3
3
3
3
3
2
3
4
4
2
2
2
3
88393
MMTA - Endocrine - Medium
MMTA - Endocrine - Medium
MMTA - GI/GU - High
MMTA - GI/GU - High
MMTA - GI/GU - High
MMTA - GI/GU - High
MMTA - GI/GU - High
MMTA - GI/GU - High
MMTA - GI/GU - High
MMTA - GT/GU - High
MMTA - GI/GU - High
MMTA - GI/GU - High
MMTA - GI/GU - High
MMTA - GI/GU - High
MMTA - GI/GU - Low
MMTA - GI/GU - Low
MMTA - GI/GU - Low
MMTA - GI/GU - Low
MMTA - GI/GU - Low
MMTA - GI/GU - Low
MMTA - GI/GU - Low
MMTA - GI/GU - Low
MMTA - GI/GU - Low
MMTA - GI/GU - Low
MMTA - GI/GU - Low
MMTA - GI/GU - Low
MMTA - GI/GU - Medium
MMTA - GI/GU - Medium
MMTA - GI/GU - Medium
MMTA - GT/GU - Medium
MMTA - GI/GU - Medium
MMTA - GI/GU - Medium
MMTA - GI/GU - Medium
MMTA - GI/GU - Medium
MMTA - GI/GU - Medium
MMTA- GI/GU -Medium
Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
19:11 Nov 06, 2024
ER07NO24.032
4IB21
4IB31
lJCll
1JC21
1JC31
2JC11
2JC21
2JC31
3JC11
3JC21
3JC31
4JC11
4JC21
4JC31
lJAll
1JA21
1JA31
2JA11
2JA21
2JA31
3JA11
3JA21
3JA31
4JA11
4JA21
4JA31
lJBll
1JB21
1JB31
2JB11
2JB21
2JB31
3JB11
3JB21
3JB31
4JB11
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07NOR2
MMTA - GI/GU - Medium
MMTA - GI/GU - Medium
MMTA - Infectious - High
MMTA - Infectious - High
MMTA - Infectious - High
MMTA - Infectious - High
MMTA - Infectious - High
MMTA - Infectious - High
MMTA - Infectious - High
MMT A - Infectious - High
MMTA - Infectious - High
MMTA - Infectious - High
MMTA - Infectious - High
MMTA - Infectious - High
MMTA- Infectious - Low
MMTA - Infectious - Low
MMTA - Infectious - Low
MMTA- Infectious - Low
MMTA - Infectious - Low
MMTA- Infectious - Low
MMTA - Infectious - Low
MMTA- Infectious - Low
MMTA- lnfectious - Low
MMTA- Infectious - Low
MMTA - Infectious - Low
MMTA - Infectious - Low
MMTA- Infectious - Medium
MMTA- Infectious - Medium
MMTA- Infectious - Medium
MMTA - Infectious - Medium
MMTA- Infectious - Medium
MMTA- lnfectious - Medium
MMTA- Infectious - Medium
MMTA- Infectious - Medium
MMTA- Infectious - Medium
MMTA- Infectious - Medium
Late - Institutional
Late - Institutional
Early - Community
Early - Community
Early - Community
Early - Institutional
Early - Institutional
Early - Institutional
Late - Community
Late - Community
Late - Community
Late - Institutional
Late - Institutional
Late - Institutional
Early - Community
Early - Community
Early - Community
Early - Institutional
Early - Institutional
Early - Institutional
Late - Community
Late - Community
Late - Community
Late - Institutional
Late - Institutional
Late - Institutional
Early - Community
Early - Community
Early - Community
Early - Institutional
Early - Institutional
Early - Institutional
Late - Community
Late - Community
Late - Community
Late - Institutional
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1.2042
1.3535
1.1383
1.2005
1.3498
1.3456
1.4079
1.5572
0.7902
0.8524
1.0017
1.2679
1.3301
1.4794
0.9077
0.9699
1.1192
1.1150
1.1772
1.3265
0.5595
0.6217
0.7711
1.0372
1.0994
1.2487
1.0079
1.0701
1.2194
1.2152
1.2774
1.4267
0.6597
0.7220
0.8713
1.1374
3
3
2
2
2
3
3
3
2
2
2
3
3
3
2
2
2
3
3
3
2
2
2
3
3
3
3
2
2
3
3
3
2
2
2
3
Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
19:11 Nov 06, 2024
ER07NO24.033
4JB21
4JB31
lKCll
1KC21
1KC31
2KC11
2KC21
2KC31
3KC11
3KC21
3KC31
4KC11
4KC21
4KC31
lKAll
1KA21
1KA31
2KA11
2KA21
2KA31
3KA11
3KA21
3KA31
4KA11
4KA21
4KA31
lKBll
1KB21
1KB31
2KB11
2KB21
2KB31
3KB11
3KB21
3KB31
4KB11
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E:\FR\FM\07NOR2.SGM
07NOR2
Late - Institutional
Late - Institutional
Early - Community
Early - Community
Early - Community
Early - Institutional
Early - Institutional
Early - Institutional
Late - Community
Late - Community
Late - Community
Late - Institutional
Late - Institutional
Late - Institutional
Early - Community
Early - Community
Early - Community
Early - Institutional
Early - Institutional
Early - Institutional
Late - Community
Late - Community
Late - Community
Late - Institutional
Late - Institutional
Late - Institutional
Early - Community
Early - Community
Early - Community
Early - Institutional
Early - Institutional
Early - Institutional
Late - Community
Late - Community
Late - Community
Late - Institutional
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1.1997
1.3490
1.1073
1.1695
1.3189
1.3146
1.3769
1.5262
0.7592
0.8214
0.9707
1.2369
1.2991
1.4484
0.9187
0.9810
1.1303
1.1260
1.1883
1.3376
0.5706
0.6328
0.7821
1.0483
1.1105
1.2598
1.0085
1.0707
1.2200
1.2158
1.2780
1.4273
0.6603
0.7225
0.8718
1.1380
3
3
4
4
3
4
4
4
2
2
2
3
3
3
3
3
4
3
3
3
2
2
2
3
3
3
4
4
3
4
4
4
2
2
2
3
88395
MMTA- Infectious - Medium
MMTA- Infectious - Medium
MMTA - Other - High
MMTA - Other - High
MMTA - Other - High
MMTA - Other - High
MMTA - Other - High
MMTA - Other - High
MMTA - Other - High
MMT A - Other - High
MMTA - Other - High
MMTA - Other - High
MMTA - Other - High
MMTA - Other - High
MMTA - Other - Low
MMTA - Other - Low
MMTA - Other - Low
MMTA - Other - Low
MMTA - Other - Low
MMTA - Other - Low
MMTA - Other - Low
MMTA - Other - Low
MMTA- Other-Low
MMTA - Other - Low
MMTA - Other - Low
MMTA - Other - Low
MMTA - Other - Medium
MMTA- Other- Medium
MMTA - Other - Medium
MMTA - Other - Medium
MMTA - Other - Medium
MMTA- Other- Medium
MMTA- Other- Medium
MMTA - Other - Medium
MMTA- Other- Medium
MMTA- Other- Medium
Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
19:11 Nov 06, 2024
ER07NO24.034
4KB21
4KB31
lACll
1AC21
1AC31
2AC11
2AC21
2AC31
3AC11
3AC21
3AC31
4AC11
4AC21
4AC31
lAAll
1AA21
1AA31
2AA11
2AA21
2AA31
3AA11
3AA21
3AA31
4AA11
4AA21
4AA31
lABll
1AB21
1AB31
2AB11
2AB21
2AB31
3AB11
3AB21
3AB31
4AB11
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07NOR2
MMTA- Other- Medium
MMTA - Other - Medium
MMTA- Respiratory - Hi!!h
MMTA - Respiratory - Hi!!h
MMTA- Respiratory - Hi!!h
MMTA - Respiratory - Hi!!h
MMTA - Respiratory - Hi!!h
MMTA - Respiratory - Hi!!h
MMTA - Respiratory - Hi!!h
MMTA - Respiratory - High
MMTA - Respiratory - Hi!!h
MMTA - Respiratory - Hi!!h
MMTA - Respiratory - Hi!!h
MMTA- Respiratory - Hi!!h
MMTA - Respiratory - Low
MMTA - Respiratory - Low
MMTA - Respiratory - Low
MMTA - Respiratory - Low
MMTA - Respiratory - Low
MMTA - Respiratory - Low
MMTA - Respiratory - Low
MMTA - Respiratory - Low
MMTA- Respiratory - Low
MMTA - Respiratory - Low
MMTA- Respiratory - Low
MMTA - Respiratory - Low
MMTA - Respiratory - Medium
MMTA - Respiratory - Medium
MMTA - Respiratory - Medium
MMT A - Respiratory - Medium
MMTA - Respiratory - Medium
MMTA- Respiratory- Medium
MMTA - Respiratory - Medium
MMTA- Respiratory- Medium
MMTA - Respiratory - Medium
MMTA - Respiratory - Medium
Late - Institutional
Late - Institutional
Early - Community
Early - Community
Early - Community
Early - Institutional
Early - Institutional
Early - Institutional
Late - Community
Late - Community
Late - Community
Late - Institutional
Late - Institutional
Late - Institutional
Early - Community
Early - Community
Early - Community
Early - Institutional
Early - Institutional
Early - Institutional
Late - Community
Late - Community
Late - Community
Late - Institutional
Late - Institutional
Late - Institutional
Early - Community
Early - Community
Early - Community
Early - Institutional
Early - Institutional
Early - Institutional
Late - Community
Late - Community
Late - Community
Late - Institutional
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1.2002
1.3495
1.1204
1.1826
1.3319
1.3277
1.3899
1.5392
0.7723
0.8345
0.9838
1.2499
1.3122
1.4615
0.9187
0.9809
1.1302
1.1260
1.1882
1.3375
0.5705
0.6328
0.7821
1.0482
1.1105
1.2598
1.0163
1.0786
1.2279
1.2236
1.2859
1.4352
0.6682
0.7304
0.8797
1.1459
3
4
4
3
3
4
4
4
2
2
2
3
3
3
3
3
3
3
3
4
2
2
2
3
3
3
4
3
3
4
4
4
2
2
2
3
Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
19:11 Nov 06, 2024
ER07NO24.035
4AB21
4AB31
lLCll
1LC21
1LC31
2LC11
2LC21
2LC31
3LC11
3LC21
3LC31
4LC11
4LC21
4LC31
lLAll
1LA21
1LA31
2LA11
2LA21
2LA31
3LA11
3LA21
3LA31
4LA11
4LA21
4LA31
lLBll
1LB21
1LB31
2LB11
2LB21
2LB31
3LB11
3LB21
3LB31
4LB11
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E:\FR\FM\07NOR2.SGM
07NOR2
.\dmission Source and Timing
4LB21
4LB31
lGCll
1GC21
1GC31
2GC11
2GC21
2GC31
3GC11
3GC21
3GC31
4GC11
4GC21
4GC31
lGAll
1GA21
1GA31
2GA11
2GA21
2GA31
3GA11
3GA21
3GA31
4GA11
4GA21
4GA31
lGBll
1GB21
1GB31
2GB11
2GB21
2GB31
3GB11
3GB21
3GB31
4GB11
MMTA - Respiratory - Medium
MMTA - Respiratory - Medium
MMTA - Surgical Aftercare - High
MMTA - Surgical Aftercare - High
MMTA - Surgical Aftercare - High
MMTA - Surgical Aftercare - High
MMTA - Surgical Aftercare - High
MMTA - Surgical Aftercare - High
MMTA - Surgical Aftercare - High
MMTA - Surgical Aftercare - High
MMTA - Surgical Aftercare - High
MMTA - Surgical Aftercare - High
MMTA - Surgical Aftercare - High
MMTA - Surgical Aftercare - High
MMTA - Surgical Aftercare - Low
MMTA - Surgical Aftercare - Low
MMTA - Surgical Aftercare - Low
MMTA - Surgical Aftercare - Low
MMTA - Surgical Aftercare - Low
MMTA- Surgical Aftercare - Low
MMTA - Surgical Aftercare - Low
MMTA - Surgical Aftercare - Low
MMTA - Surgical Aftercare - Low
MMTA - Surgical Aftercare - Low
MMTA - Surgical Aftercare - Low
MMTA - Surgical Aftercare - Low
MMTA- Surgical Aftercare - Medium
MMTA- Surgical Aftercare - Medium
MMTA- Surgical Aftercare - Medium
MMTA - Surgical Aftercare - Medium
MMTA- Surgical Aftercare - Medium
MMTA- Surgical Aftercare - Medium
MMTA- Surgical Aftercare - Medium
MMTA- Surgical Aftercare - Medium
MMTA- Surgical Aftercare - Medium
MMTA- Surgical Aftercare - Medium
Late - Institutional
Late - Institutional
Early - Community
Early - Community
Early - Community
Early - Institutional
Early - Institutional
Early - Institutional
Late - Community
Late - Community
Late - Community
Late - Institutional
Late - Institutional
Late - Institutional
Early - Community
Early - Community
Early - Community
Early - Institutional
Early - Institutional
Early - Institutional
Late - Community
Late - Community
Late - Community
Late - Institutional
Late - Institutional
Late - Institutional
Early - Community
Early - Community
Early - Community
Early - Institutional
Early - Institutional
Early - Institutional
Late - Community
Late - Community
Late - Community
Late - Institutional
I
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
Recalibrated \Veig;ht
for 2025
1.2081
1.3574
1.1378
1.2000
1.3493
1.3451
1.4073
1.5566
0.7896
0.8519
1.0012
1.2673
1.3296
1.4789
0.8921
0.9544
1.1037
1.0994
1.1617
1.3110
0.5440
0.6062
0.7555
1.0217
1.0839
1.2332
1.0103
1.0726
1.2219
1.2176
1.2799
1.4292
0.6622
0.7244
0.8737
1.1399
I.UP\ Visit Threshold
(Llrr.\s have fewer ,isits
than the threshold)
3
3
3
4
4
4
2
2
2
3
3
4
2
2
2
3
3
3
2
2
2
2
3
3
3
3
3
3
4
4
2
2
2
3
88397
Clinical Group and Functional Level
Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
19:11 Nov 06, 2024
ER07NO24.036
IIIPPS
Comorbidity Adjustment
(0 = none, I = sing;le
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2 = interaction)
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MMTA- Surgical Aftercare - Medium
MMTA- Surgical Aftercare - Medium
MS Rehab - High
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I
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
Recalibrated \Veig;ht
for 2025
1.2021
1.3514
1.1768
1.2390
1.3884
1.3841
1.4464
1.5957
0.8287
0.8909
1.0402
1.3064
1.3686
1.5179
0.9543
1.0165
1.1658
1.1616
1.2238
1.3731
0.6061
0.6683
0.8176
1.0838
1.1460
1.2953
1.0370
1.0992
1.2485
1.2443
1.3065
1.4558
0.6889
0.7511
0.9004
1.1666
I.UP\ Visit Threshold
(Llrr.\s have fewer ,isits
than the threshold)
4
4
4
4
5
5
5
2
2
3
4
4
4
4
4
4
4
5
5
2
2
2
4
4
4
5
5
4
5
5
5
2
2
2
4
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Clinical Group and Functional Level
88398
VerDate Sep<11>2014
ER07NO24.037
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(0 = none, I = sing;le
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Late - Institutional
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Early - Institutional
Early - Institutional
Late - Community
Late - Community
Late - Community
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Late - Institutional
Late - Institutional
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Late - Institutional
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Early - Community
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Early - Institutional
Early - Institutional
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Late - Community
Late - Community
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1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1.2288
1.3781
1.2929
1.3551
1.5044
1.5002
1.5624
1.7117
0.9447
1.0070
1.1563
1.4224
1.4847
1.6340
1.0413
1.1035
1.2528
1.2486
1.3108
1.4601
0.6932
0.7554
0.9047
1.1709
1.2331
1.3824
1.1529
1.2152
1.3645
1.3603
1.4225
1.5718
0.8048
0.8670
1.0163
1.2825
4
4
4
4
4
5
5
4
2
3
3
4
4
4
4
4
3
4
4
4
2
2
2
3
3
3
4
4
4
4
5
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2
2
2
4
88399
MS Rehab - Medium
MS Rehab - Medium
Neuro- High
Neuro- High
Neuro- High
Neuro- High
Neuro- High
Neuro- High
Neuro- High
Neuro- High
Neuro- High
Neuro- High
Neuro- High
Neuro- High
Neuro -Low
Neuro - Low
Neuro - Low
Neuro -Low
Neuro - Low
Neuro -Low
Neuro - Low
Neuro -Low
Neuro - Low
Neuro -Low
Neuro - Low
Neuro - Low
Neuro - Medium
Neuro - Medium
Neuro - Medium
Neuro - Medium
Neuro - Medium
Neuro - Medium
Neuro - Medium
Neuro - Medium
Neuro - Medium
Neuro - Medium
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Neuro - Medium
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Wound-High
Wound-High
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Wound-Low
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Wound-Low
Wound-Low
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1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1
2
0
1.3447
1.4940
1.4977
1.5600
1.7093
1.7050
1.7673
1.9166
1.1496
1.2118
1.3611
1.6273
1.6895
1.8388
1.2850
1.3473
1.4966
1.4924
1.5546
1.7039
0.9369
0.9991
1.1484
1.4146
1.4768
1.6261
1.3804
1.4426
1.5919
1.5877
1.6499
1.7992
1.0322
1.0944
1.2438
1.5099
4
4
4
4
4
5
4
4
3
3
3
4
4
4
4
4
4
4
4
4
2
3
3
3
4
4
4
4
4
4
4
4
3
3
3
4
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2
Recalibrated Weight
for 2025
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1.7214
Source: CY 2023 Home Health Claims Data, Periods that end in CY 2023 accessed on the CCW July 11, 2024.
I.UP\ Visit Threshold
(Llrr.\s have fewer ,isits
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BILLING CODE 4120–01–C
VerDate Sep<11>2014
IIIPPS
Comorbidity Adjustment
(0 = none, I = single
comorbidity,
2 = interaction)
88401
ER07NO24.040
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88402
Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
Changes to the PDGM case-mix
weights are implemented in a budget
neutral manner by multiplying the CY
2025 national standardized 30-day
period payment rate by a case-mix
budget neutrality factor. Typically, the
case-mix weight budget neutrality factor
is also calculated using the most recent,
complete home health claims data
available. For CY 2025, we will
continue the practice of using the most
recent complete home health claims
data at the time of rulemaking, which is
CY 2023 data. The case-mix budget
neutrality factor is calculated as the
ratio of 30-day base payment rates such
that total payments when the CY 2025
PDGM case-mix weights (developed
using CY 2023 home health claims data)
are applied to CY 2023 utilization
(claims) data are equal to total payments
when CY 2024 PDGM case-mix weights
(developed using CY 2022 home health
claims data) are applied to CY 2023
utilization data. This produces a casemix budget neutrality factor for CY 2025
of 1.0039.
We invited public comments on the
CY 2025 proposed case-mix weights and
proposed case-mix weight budget
neutrality factor.
Comment: Several commenters
expressed support for the updated casemix weights using the most current data
available for recalibration.
Response: We thank the commenters
for their support.
Comment: A few commenters stated
that any recalibration should not be
budget neutral. They stated this stance
is based on several factors, including the
increasing acuity of patients, rising
operational expenses, growing demand
for home health services, and the
ongoing labor shortage. Commenters
stated that these factors warrant
consideration in ensuring adequate
payment to align with the current
healthcare environment. Specifically, a
commenter disagreed with the
downgrading of points for toilet
transfers and ambulation. While the
commenter acknowledged that budget
neutrality drives the reallocation of
points when others are increased, they
expressed concern that reducing points
for ambulation may place less emphasis
on this critical task, potentially leading
to higher fall rates and, consequently,
increased hospitalizations. The
commenter also noted that while
bathing points were significantly
increased, which they stated was
beneficial, the commenter stated the
increase should not be as substantial,
especially given the larger reduction in
points for toilet transfers and
ambulation. Additionally, some
commenters expressed concern that the
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proposed changes to the case-mix
weights contribute to substantial yearto-year payment variances, which may
have a significant financial impact on
many providers as case-mix weights are
driven lower. These commenters noted
that this variability in payment could
create financial challenges for providers,
particularly those already dealing with
increasing costs and labor shortages.
Response: While we recognize that
commenters have consistently raised
concerns regarding the annual
recalibration of case mix weights since
the policy’s initial finalization, we
continue to believe that annual
recalibration of PDGM case mix weights
is essential. This approach promotes
accurate weighting of the case mix
weights to reflect current home health
resource utilization, changes in
utilization patterns, and the
characteristics of patients currently
receiving home health services.
Prolonging recalibration beyond an
annual schedule could result in greater
variation in case mix weights, compared
to recalibrating using the most recent
utilization data. Therefore, we believe
that utilizing calendar year 2023 data to
recalibrate the calendar year 2025 casemix weights is appropriate. We direct
commenters to review the calendar year
2019 HH PPS final rule with comment
(83 FR 56502) for the finalized case-mix
adjustment methodology, as well as the
detailed steps taken to determine the
case-mix weight for each of the 432
different PDGM payment groups, which
are outlined in this final rule.
Furthermore, it is important to note that
both the recalibration of the PDGM casemix weights and updates to the HH PPS
are implemented in a budget-neutral
manner as statutorily required in section
1895(b)(3)(A)(i) of the Act, ensuring that
changes to case-mix weights, functional
impairment levels, comorbidity
adjustments, and updated wage data do
not impact overall payments in the
aggregate.
We appreciate the commenters’
recognition of our efforts to recalibrate
case-mix weights using the most current
data available. Regarding concerns
about the downgrading of points for
toilet transfers and ambulation, we
recognize the importance of accurately
reflecting the resource needs associated
with these tasks. However, the
reallocation of points is driven by the
need to maintain budget neutrality, and
any adjustments are made based on
current utilization data and resource
allocation. While a few commenters
expressed support for the idea of nonbudget neutral recalibration, it is
important to note that, as statutorily
required by section 1895(b)(3)(A)(i) of
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the Act, any adjustments to case-mix
weights must be made in a budget
neutral manner to ensure that the
aggregate level of payments resulting
from changes in case-mix weights
remains consistent.
We also acknowledge the concern that
case-mix weight changes may lead to
year-to-year payment variances and
potential financial challenges for
providers. The intent of recalibration is
to align payments with actual resource
use while maintaining overall budget
neutrality. As always, we will continue
to evaluate the impact of these
adjustments and consider the evolving
needs of the home health population.
Final Decision: We are finalizing the
recalibrated case-mix weights for CY
2025, updated with claims data as of
July 11, 2024. We did not receive any
comments on the proposed case-mix
weight budget neutrality factor.
Therefore, we are finalizing the proposal
to implement the changes to the PDGM
case-mix weights in a budget neutral
manner by applying a case-mix budget
neutrality factor to the CY 2025
national, standardized 30-day period
payment rate. As stated previously, the
final case-mix budget neutrality factor
for CY 2025 will be 1.0039.
5. Reassignment of Specific ICD–10–CM
Codes Under the PDGM
a. Background
The 2009 final rule ‘‘HIPAA
Administrative Simplification:
Modifications to Medical Data Code Set
Standards To Adopt ICD–10–CM and
ICD–10–PCS’’ (74 FR 3328, January 16,
2009), set October 1, 2013, as the
compliance date for all covered entities
under the Health Insurance Portability
and Accountability Act of 1996 (HIPAA)
to use the International Classification of
Diseases, 10th Revision, Clinical
Modification (ICD–10–CM) and the
International Classification of Diseases,
10th Revision, Procedure Coding
System (ICD–10–PCS) medical data
code sets. The ICD–10–CM diagnosis
codes are granular and specific and
provide HHAs a better opportunity to
report codes that best reflect the
patient’s conditions that support the
need for home health services. However,
as stated in the CY 2019 HH PPS final
rule with comment period (83 FR
56473), because the ICD–10–CM is
comprehensive, it also contains many
codes that may not support the need for
home health services. For example,
diagnosis codes that indicate death as
the outcome are Medicare covered codes
but are not relevant to home health. In
addition, diagnosis and procedure
coding guidelines may specify the
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sequence of ICD–10–CM coding
conventions. For example, the
underlying condition must be listed first
(for example, Parkinson’s disease must
be listed prior to Dementia if both codes
were listed on a claim). Therefore, not
all the ICD–10–CM diagnosis codes are
appropriate as principal diagnosis codes
for grouping home health periods into
clinical groups or to be placed into a
comorbidity subgroup when listed as a
secondary diagnosis. As such, each
ICD–10–CM diagnosis code is assigned,
including those diagnosis codes
designated as ‘‘not assigned’’ (NA), to a
clinical group and comorbidity
subgroup within the HH PPS grouper
software (HHGS). We reminded readers
the ICD–10–CM diagnosis code list is
updated each fiscal year with an
effective date of October 1st and
therefore, the HH PPS is generally
subject to a minimum of two HHGS
releases, one in October and one in
January of each year, to ensure that
claims are submitted with the most
current code set available. Likewise,
there may be new ICD–10–CM diagnosis
codes created (for example, codes for
emergency use) or a new or revised edit
in the Medicare Code Editor (MCE) so
an update to the HHGS may occur on
the first of each quarter (January, April,
July, October). We encourage readers to
check the HHGS routinely at these
times, as we do not anticipate posting
changes to the home health web page.
b. Methodology for ICD–10–CM
Diagnosis Code Assignments
Although it is not our intent to review
all ICD–10–CM diagnosis codes each
year, we recognize that occasionally
some ICD–10–CM diagnosis codes may
require changes to their assigned
clinical group and/or comorbidity
subgroup. For example, there may be an
update to the MCE unacceptable
principal diagnosis list, or we receive
public comments from interested parties
requesting specific changes. Any
addition or removal of a specific
diagnosis code to the ICD–10–CM code
set (for example, three new diagnosis
codes, Z28.310, Z28.311 and Z28.39, for
reporting COVID–19 vaccination status
were effective April 1, 2022) or minor
tweaks to a descriptor of an existing
ICD–10–CM diagnosis code generally
could be implemented as appropriate
and may not be discussed in
rulemaking.
We rely on the expert opinion of our
clinical reviewers (for example, nurse
consultants and medical officers) and
current ICD–10–CM coding guidelines
to determine if the ICD–10–CM
diagnosis codes under review for
reassignment are significantly similar or
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different to the existing clinical group
and/or comorbidity subgroup
assignment. As we stated in the CY 2018
HH PPS proposed rule (82 FR 35313),
the intent of the clinical groups is to
reflect the reported principal diagnosis,
clinical relevance, and coding
guidelines and conventions. Therefore,
for the purposes of assignment of ICD–
10–CM diagnosis codes into the PDGM
clinical groups we will not conduct
additional statistical analysis as such
decisions are clinically based and the
clinical groups are part of the overall
case-mix weights.
As we noted in the CY 2019 HH PPS
final rule with comment period (83 FR
56486), the home health-specific
comorbidity list is based on the
principles of patient assessment by body
systems and their associated diseases,
conditions, and injuries to develop
larger categories of conditions that
identified clinically relevant
relationships associated with increased
resource use, meaning the diagnoses
have at least as high as the median
resource use and are reported in more
than 0.1 percent of 30-day periods of
care. If specific ICD–10–CM diagnosis
codes are to be reassigned to a different
comorbidity subgroup (including NA),
we will first evaluate the clinical
characteristics (as discussed previously
for clinical groups) and if the ICD–10–
CM diagnosis code does not meet the
clinical criteria, then no reassignment
will occur. However, if an ICD–10–CM
diagnosis code does meet the clinical
criteria for a comorbidity subgroup
reassignment, then we will evaluate the
resource consumption associated with
the ICD–10–CM diagnosis codes, the
current assigned comorbidity subgroup,
and the proposed (reassigned)
comorbidity subgroup. This analysis is
to ensure that any reassignment of an
ICD–10–CM diagnosis code (if reported
as secondary) in any given year will not
significantly alter the overall resource
use of a specific comorbidity subgroup.
For resource consumption, we use nonLUPA 30-day periods to evaluate the
total number of 30-day periods for the
comorbidity subgroup(s) and the ICD–
10–CM diagnosis code, the average
number of visits per 30-day periods for
the comorbidity subgroup(s) and the
ICD–10–CM diagnosis code, and the
average resource use for the comorbidity
subgroup(s) and the ICD–10–CM
diagnosis code. The average resource
use measures the costs associated with
visits performed during a home health
period and was previously described in
the CY 2019 HH PPS final rule with
comment period (83 FR 56450).
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88403
c. Request for ICD–10–CM Diagnosis
Code Reassignments to a PDGM Clinical
Group or Comorbidity Subgroup—Renal
3 Comorbidity Subgroup
We received questions from interested
parties regarding the ICD–10–CM
diagnosis codes N30.00- (acute cystitis)
and the ICD–10–CM diagnosis code
N39.0 (urinary tract infection, site not
specified). Specifically, CMS received a
request to reassign N30.00 to the same
clinical and comorbidity group as
N39.0. The ICD–10–CM diagnosis codes
N30.00- (acute cystitis) are currently
assigned to clinical group J (MMTA—
Gastrointestinal tract and Genitourinary
system) when listed as a primary
diagnosis and not assigned to a
comorbidity subgroup when listed as a
secondary diagnosis. The ICD–10–CM
diagnosis code N39.0 (urinary tract
infection, site not specified) is currently
assigned to clinical group J (MMTA—
Gastrointestinal tract and Genitourinary
system) when listed as a primary
diagnosis and assigned to the renal 3
comorbidity subgroup when listed as a
secondary diagnosis.
We reviewed the ICD–10–CM
diagnosis codes related to cystitis (N30.) and determined all 14 of the codes are
not assigned to a comorbidity subgroup
when listed as a secondary diagnosis.
Our clinical reviewers advised that
cystitis, including N30.00- (acute
cystitis), is to report inflammation of the
urinary bladder; whereas N39.0 (urinary
tract infection, site not specified) is to
report the presence of the infectious
microorganisms in the urinary tract
system. In addition, we evaluated
resource consumption related to the
comorbidity subgroup renal 3, as well as
diagnosis codes N30.00- (acute cystitis)
and N39.0 (urinary tract infection, site
not specified) and found that acute
cystitis on average has a lower resource
use than urinary tract infection (UTI).
As described earlier, based on clinical
review and resources use analysis, the
ICD–10–CM diagnosis codes N30.00(acute cystitis) are currently assigned to
the most appropriate comorbidity group,
not assigned. Therefore, we did not
propose a reassignment of N30.00(acute cystitis) at this time.
Comment: We received a comment
requesting we reassign N30.00- (acute
cystitis) to receive the same clinical
grouping and comorbidity subgroup as
an unspecified UTI. Another commenter
stated they believe diagnoses were
missing from comorbidity groups, such
as sepsis that was not grouped with UTI.
Other commenters requested rheumatic
mitral value diseases I05.– and aortic
rheumatic valve diseases I06.– should
be assigned to the comorbidity subgroup
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Heart 9 and that F01., Vascular
dementia, be reassigned to the
behavioral health clinical group.
Response: We appreciate the
commenters diligent review of the ICD–
10–CM diagnosis codes and their
assigned clinical and comorbidity
group. We remind readers that not all
diagnosis codes are assigned a clinical
group and/or a comorbidity group under
the HH PPS payment policy. As we did
not propose any reassignments at this
time, these comments are considered
out of scope for this rule. Additionally,
to evaluate clinically and, when needed,
statistically, a request for a diagnosis
code’s clinical group or comorbidity
subgroup reassignment, we require the
current assignment of the diagnosis
code(s), the requested reassignment, and
any supporting evidence for the
reassignment (for example, similar
clinical management and services). As
we stated in the CY 2023 HH PPS final
rule (87 FR 66808) if an ICD–10–CM
diagnosis code is to be reassigned from
one clinical group and/or a comorbidity
subgroup to another clinical/
comorbidity group, either through a
request from the public or internal
analysis, as the change may affect
payment, it is necessary to propose
these changes through notice and
comment rulemaking. Lastly, while we
attempt to evaluate requests in the order
in which they are received, the length
of time needed to sufficiently evaluate
a request varies. For future requests for
ICD–10 code reassignments, readers can
send their request(s) to the Home Health
Policy mailbox: HomeHealthPolicy@
cms.hhs.gov.
E. CY 2025 Home Health Payment Rate
Updates
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1. Final CY 2025 Home Health Market
Basket Update for HHAs
Section 1895(b)(3)(B) of the Act
requires that the standard prospective
payment amounts for home health 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. In the CY 2024 HH PPS final
rule (88 FR 77726), we finalized a
rebasing of the home health market
basket to reflect 2021 cost report data.
We also finalized a policy for CY 2024
and subsequent years that the laborrelated share will be 74.9 percent, and
the non-labor-related share will be 25.1
percent. A detailed description of how
we rebased the home health market
basket and labor-related share is
available in the CY 2024 HH PPS final
rule (88 FR 77726 through 77742).
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In the CY 2015 HH PPS final rule (79
FR 38384), we finalized our
methodology for calculating and
applying the multifactor productivity
adjustment. As we explained in that
rule, section 1895(b)(3)(B)(vi) of the Act,
requires that, in CY 2015 (and in
subsequent calendar years, except CY
2018 (under section 411(c) of the
Medicare Access and CHIP
Reauthorization Act of 2015 (MACRA)
(Pub. L. 114–10, enacted April 16,
2015)), the market basket percentage
under the HH PPS as described in
section 1895(b)(3)(B) of the Act be
annually adjusted by changes in
economy-wide productivity. Section
1886(b)(3)(B)(xi)(II) of the Act defines
the productivity adjustment to be equal
to the 10-year moving average of change
in annual economy-wide private
nonfarm business multifactor
productivity (as projected by the
Secretary for the 10-year period ending
with the applicable fiscal year, calendar
year, cost reporting period, or other
annual period). The Bureau of Labor
Statistics (BLS) publishes the official
measures of productivity for the United
States economy. We note that
previously the productivity measure
referenced in section
1886(b)(3)(B)(xi)(II) of the Act was
published by BLS as private nonfarm
business multifactor productivity.
Beginning with the November 18, 2021,
release of productivity data, BLS
replaced the term ‘‘multifactor
productivity’’ with ‘‘total factor
productivity’’ (TFP). BLS noted that this
is a change in terminology only and will
not affect the data or methodology. As
a result of the BLS name change, the
productivity measure referenced in
section 1886(b)(3)(B)(xi)(II) of the Act is
now published by BLS as ‘‘private
nonfarm business total factor
productivity’’. We refer readers to
https://www.bls.gov for the BLS
historical published TFP data. A
complete description of IHS Global
Inc.’s (IGI) TFP projection methodology
is available on the CMS website at
https://www.cms.gov/data-research/
statistics-trends-and-reports/medicareprogram-rates-statistics/market-basketresearch-and-information.
The proposed home health update
percentage for CY 2025 was based on
the estimated home health market
basket percentage increase, specified at
section 1895(b)(3)(B)(iii) of the Act, of
3.0 percent (based on IHS Global Inc.’s
first quarter 2024 forecast with
historical data through fourth quarter
2023). The estimated CY 2025 home
health market basket percentage
increase of 3.0 percent was then
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reduced by a productivity adjustment,
in accordance with section
1895(b)(3)(B)(vi) of the Act. Based on
IGI’s first quarter 2024 forecast, the
proposed productivity adjustment was
estimated to be 0.5 percentage point for
CY 2025. Therefore, the proposed
productivity-adjusted CY 2025 home
health market basket update was 2.5
percent (3.0 percent market basket
percentage increase, reduced by a 0.5
percentage point productivity
adjustment). Furthermore, we proposed
that if more recent data subsequently
became available (for example, a more
recent estimate of the market basket
and/or productivity adjustment), we
would use such data, if appropriate, to
determine the CY 2025 market basket
percentage increase and productivity
adjustment in the final rule.
For this final rule, based on updated
data from IGI’s third quarter 2024
forecast with historical data through the
second quarter of 2024, the 2021-based
home health market basket percentage
increase for CY 2025 is 3.2 percent
reduced by a 0.5 percentage point
productivity adjustment which results
in a final CY 2025 update percentage of
2.7 percent.
Section 1895(b)(3)(B)(v) of the Act
requires that the home health
percentage update be decreased by 2
percentage points for those HHAs that
do not submit quality data as required
by the Secretary. For HHAs that do not
submit the required quality data for CY
2025, the proposed home health
payment update percentage was 0.5
percent (2.5 percent minus 2 percentage
points). For this final rule, for HHAs
that do not submit the required data for
CY 2025, the final home health payment
update percentage is 0.7 percent (2.7
percent minus 2 percentage points).
We invited public comment on our
proposals for the CY 2025 home health
market basket percentage increase and
productivity adjustment.
Comment: A few commenters stated
that they appreciate the market basket
update and that they support the
methodology resulting in a proposed
positive payment update of 2.5 percent.
Response: We thank the commenters
for their support.
Comment: Some commenters asserted
that the proposed update is not enough
to account for the increase in costs that
home health agencies have faced.
Commenters stated that home health
agencies continue to face stubborn and
rising inflation which they state affects
the costs of medical supplies,
medications, materials, utilities,
transportation, as well increases in labor
costs. They note that retention and
recruitment of staff remains a priority,
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but there have been challenges due to
personnel shortages and the need to
compete with other health care sectors,
which continues to apply upward
pressure to the cost of labor.
Specifically, a commenter stated that
their labor costs have increased nearly
12 percent between 2021 and 2024, and
that they are projecting significant
future cost increases to recruit and
retain the workforce necessary to meet
rapidly increasing demand.
A commenter suggested CMS examine
trends relative to IHS Global Inc.’s
forecasts to determine whether more
recently available data than used for the
final CY 2025 rule would result in a
higher market basket update and
determine whether additional updates
could be made during the course of CY
2025 to provide additional support to
home health and other providers.
Some commenters stated that since
2021, they believe IGI’s forecasted
growth for the home health market
basket has shown a consistent trend of
under-forecasting actual market basket
growth. They stated they were cognizant
of the fact that forecasts will always be
imperfect, but the commenters claimed
that in the past, they have been more
balanced. However, with what they state
are four straight years of underforecasts, the commenters were
concerned that there is a more systemic
issue with IGI’s forecasting. They stated
that missed forecasts have a significant
and permanent impact on providers.
The commenters claimed that this has
resulted in ongoing and permanent
underpayments to HHAs that is totaling
approximately $700 million annually.
The commenters stated that in
addition to inaccurate forecasts, the
underlying market basket itself may
have shortcomings that fail to properly
capture growth. They noted that there
has been a very large growth in
providers’ costs in the last several years,
and that it is confounding how
providers with labor-intensive services
could have a change in the actual
market basket growth that is 4
percentage points below general
inflation as measured by the CPI–U.
Commenters urged CMS to re-examine
the market basket and forecast
methodology, and a commenter urged
CMS to provide greater transparency
regarding the forecast methodology so
that it might benefit from stakeholder
input.
Response: We appreciate the
commenters’ concerns. We are required
to update HH PPS payments by the
market basket update adjusted for
productivity, as directed by section
1895(b)(3)(B) of the Act. Specifically,
section 1895(b)(3)(B)(iii) of the Act
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states that the increase factor shall be
based on an appropriate percentage
increase in a market basket of goods and
services included in home health
services in the same manner as the
market basket percentage increase under
section 1886(b)(3)(B)(iii) of the Act is
determined and applied to the mix of
goods and services comprising inpatient
hospital services for the fiscal year or
year. There is not currently a
mechanism in place to allow for
additional updates during the course of
CY 2025, as was suggested by the
commenter, beyond the percentage
increase described here.
The home health market basket is a
fixed-weight, Laspeyres-type index that
measures price changes over time and
would not reflect increases in costs
associated with changes in the volume
or intensity of input goods and services.
As such, the home health market basket
update would reflect the prospective
price pressures described by the
commenters (such as wage growth or
higher energy prices) but would
inherently not reflect other factors that
might increase the level of costs, such
as the quantity of labor used. We note
that cost changes (that is, the product of
price and quantities) would only be
reflected when the base year weights are
updated to a more recent time period.
We would also highlight that the
market basket percentage increase is a
forecast of the price pressures that
HHAs are expected to face in 2025. IHS
Global Inc. (an Affiliate of S&P Global
Inc.) is a nationally recognized
economic and financial forecasting firm
(a participant in the Blue Chip
Economic Indicators®) with which CMS
contracts to forecast the components of
the market baskets. While this most
recent period has been marked by a
consistent under forecasting of the
market basket forecast, over longer
periods the forecasts have generally
averaged close to the historical
measures. We note that when
developing its forecasts of employment
cost indices, IHS Global Inc. considers
overall labor market conditions
(including a rise in contract labor
employment due to tight labor market
conditions) as well as trends in contract
labor wages, which both have an impact
on wage pressures for workers
employed directly by the HHA. CMS
will continue to monitor the methods
associated with the market basket
forecasts to ensure there are not
underlying systematic issues in the
forecasting approach.
While we did not propose to rebase or
revise the home health market basket in
the CY 2025 HH PPS proposed rule, we
note that we finalized the 2021-based
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home health market basket in the CY
2024 HH PPS final rule (88 FR 77726).
At the time of the CY 2024 rulemaking
cycle, the 2021 Medicare cost report
data was the most comprehensive data
source available. While we typically
rebase in regular intervals (roughly
every four years), we monitor the
Medicare cost report data to assess
whether rebasing on a more frequent
schedule is technically appropriate, and
we will continue to do so in the future.
In addition, we welcome any
suggestions for technical improvements
to the home health market basket and
note that any changes would be
proposed and established through
notice and comment rulemaking.
At the time of the CY 2025 HH PPS
proposed rule, based on the IHS Global
Inc. first quarter 2024 forecast with
historical data through the fourth
quarter of 2023, the 2021-based home
health market basket update was
forecasted to be 3.0 percent for CY 2025,
reflecting forecasted compensation price
growth of 3.4 percent. This reflects an
expectation that the growth in
compensation costs will ease relative to
the 2021–2023 period but remain
elevated relative to historical
compensation growth rates (which
averaged 2.1 percent in the 10-year
period from 2011 through 2020). We
appreciate the commenter’s concern
regarding inflationary pressure and the
request to use more recent data to
determine the CY 2025 home health
market basket update. In the CY 2025
HH PPS proposed rule, we proposed
that if more recent data became
available, we would use such data, if
appropriate, to derive the final CY 2025
home health market basket update for
the final rule. For this final rule, we
now have an updated forecast of the
price proxies underlying the market
basket that incorporates more recent
historical data and reflects a revised
outlook regarding the U.S. economy and
expected price inflation for CY 2025.
Based on IHS Global Inc.’s third quarter
2024 forecast with historical data
through the second quarter of 2024, we
are projecting a CY 2025 home health
market basket update of 3.2 percent
(reflecting forecasted compensation
price growth of 3.5 percent) and a
productivity adjustment of 0.5
percentage point. Therefore, for CY 2025
a final productivity-adjusted home
health market basket update of 2.7
percent (3.2 percent reduced by 0.5
percentage point) will be applicable,
compared to the 2.5 percent
productivity-adjusted home health
market basket update that was
proposed.
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Comment: Several commenters stated
that CMS should recognize the financial
impact of its forecasting error with
respect to the annual Market Basket
Index updates from 2021 and 2022 and
exercise its authority to implement a
one-time adjustment of 5.2 percent to
account for the forecasting error. A few
commenters suggested alternative
forecast error adjustments ranging from
approximately 4.4 to 5.7 percent to
account for under forecasts in the period
from 2021 through 2023.
Response: The home health market
basket updates are set prospectively,
which means that the update relies on
a mix of both historical data for part of
the period for which the update is
calculated and forecasted data for the
remainder. For instance, the CY 2025
market basket update in this final rule
reflects historical data through the
second quarter of CY 2024 and
forecasted data from the third quarter of
CY 2024 through the fourth quarter of
CY 2025. There is currently no
mechanism to adjust for market basket
forecast error in the home health
payment update. A forecast error for a
market basket update is equal to the
actual market basket percentage increase
for a given year less the forecasted
market basket percentage increase. Due
to the uncertainty regarding future price
trends, forecast errors can be both
positive and negative, as has occurred
since the implementation of the HH
PPS.
Over most of this history the forecast
errors were smaller in magnitude, with
the largest error prior to 2021 being an
over forecast of 1.2 percentage points in
2009. More recently the home health
market basket has been under forecast,
as noted by the commenters, with larger
errors occurring for 2021 through 2023.
The cumulative forecast error since HH
PPS inception (fiscal year 2002 to CY
2023, excluding CY 2018 and CY 2020
when the market basket update was
statutorily mandated) is ¥0.7 percent.
The recent forecast errors were largely a
function of uncertainty in the overall
economy and the health sector
specifically due to the nature of the
public health emergency and the
unforeseen rapidly accelerating
inflationary environment.
For this final rule, we have
incorporated more recent historical data
and forecasts to capture the price and
wage pressures facing HHAs and believe
it is the best available projection of
inflation to determine the applicable
percentage increase for the HHA
payments in CY 2025.
Comment: A commenter stated they
are disappointed that CMS has not taken
increased workforce safety costs into
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consideration. They indicated that
workforce safety is an area of growing
concern for the home health industry at
large and it will take significant
investments in training, security and
equipment to keep home health
clinicians safe while working in the
home and community. The commenter
stated that there is currently no area to
report many of these unique
environmental and safety costs on the
Medicare cost report. The commenter
stated that they believe that CMS needs
to work with the home health industry
to ensure that workplace safety costs
and other unique expenditures related
to home health are considered when
determining the home health payment
rate update.
Response: We recognize the
importance of ensuring workforce
safety. CMS reminds commenters that
these costs may be recorded under the
Plant Operation & Maintenance cost
center, which includes costs associated
with ‘‘protecting employees, visitors,
and HHA property.’’
As detailed in the CY 2024 HH PPS
final rule (88 FR 77728), costs recorded
in the overhead cost centers are used to
derive the major cost weights, and thus
any significant changes in the volume or
intensity of investment since the base
year (currently 2021) would be a factor
in the cost weights when the home
health market basket is next rebased.
Final Decision: After consideration of
public comments, we are finalizing the
home health payment update percentage
for CY 2025 based on the most recent
forecast of the home health market
basket percentage increase and
productivity adjustment at the time of
rulemaking. Based on IHS Global Inc.’s
third quarter 2024 forecast with
historical data through the second
quarter of 2024, we are projecting a CY
2025 home health market basket update
of 3.2 percent and a productivity
adjustment of 0.5 percentage point.
Therefore, we are finalizing for CY 2025
a final productivity-adjusted home
health market basket update of 2.7
percent (3.2 percent reduced by 0.5
percentage point).
2. Adoption of the CBSA Delineations
for the HH PPS Wage Index
In general, OMB issues major
revisions to statistical areas every 10
years, based on the results of the
decennial census. However, OMB
occasionally issues minor updates and
revisions to statistical areas in the years
between the decennial censuses.
On February 28, 2013, OMB issued
Bulletin No. 13–01, announcing
revisions to the delineations of MSAs,
Micropolitan Statistical Areas, and
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CBSAs, and guidance on uses of the
delineation of these areas. In the CY
2015 HH PPS final rule (79 FR 66085
through 66087), we adopted OMB’s area
delineations using a 1-year transition.
On August 15, 2017, OMB issued
Bulletin No. 17–01 in which it
announced that one Micropolitan
Statistical Area, Twin Falls, Idaho, now
qualifies as a Metropolitan Statistical
Area. The new CBSA (46300) comprises
the principal city of Twin Falls, Idaho
in Jerome County, Idaho and Twin Falls
County, Idaho. The CY 2025 HH PPS
wage index value for CBSA 46300, Twin
Falls, Idaho, will be 0.8519. Bulletin No.
17–01 is available at https://
www.whitehouse.gov/wp-content/
uploads/legacy_drupal_files/omb/
bulletins/2017/b-17-01.pdf.
On April 10, 2018, OMB issued OMB
Bulletin No. 18–03, which superseded
the August 15, 2017, OMB Bulletin No.
17–01. On September 14, 2018, OMB
issued OMB Bulletin No. 18–04 which
superseded the April 10, 2018, OMB
Bulletin No. 18–03. These bulletins
established revised delineations for
Metropolitan Statistical Areas,
Micropolitan Statistical Areas, and
Combined Statistical Areas, and
provided guidance on the use of the
delineations of these statistical areas. A
copy of OMB Bulletin No. 18–04 may be
obtained at https://www.bls.gov/bls/
omb-bulletin-18-04-reviseddelineations-of-metropolitan-statisticalareas.pdf.
On March 6, 2020, OMB issued
Bulletin No. 20–01, which provided
updates to and superseded OMB
Bulletin No. 18–04 that was issued on
September 14, 2018. The attachments to
OMB Bulletin No. 20–01 provided
detailed information on the update to
statistical areas since September 14,
2018, and were based on the application
of the 2010 Standards for Delineating
Metropolitan and Micropolitan
Statistical Areas to Census Bureau
population estimates for July 1, 2017,
and July 1, 2018. (For a copy of this
bulletin, we refer readers to https://
www.whitehouse.gov/wp-content/
uploads/2020/03/Bulletin-20-01.pdf.) In
OMB Bulletin No. 20–01, OMB
announced one new Micropolitan
Statistical Area, one new component of
an existing Combined Statistical Area
and changes to New England City and
Town Area (NECTA) delineations. In
the CY 2021 HH PPS final rule (85 FR
70298), we stated that if appropriate, we
will propose any updates from OMB
Bulletin No. 20–01 in future
rulemaking. After reviewing OMB
Bulletin No. 20–01, we determined that
the changes in Bulletin 20–01
encompassed delineation changes that
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did not affect the Medicare home health
wage index for CY 2022. Specifically,
the updates consisted of changes to
NECTA delineations and the redesignation of a single rural county into
a newly created Micropolitan Statistical
Area. The Medicare home health wage
index does not utilize NECTA
definitions, and, as most recently
discussed in the CY 2021 HH PPS final
rule (85 FR 70298) we include hospitals
located in Micropolitan Statistical areas
in each State’s rural wage index. In
other words, these OMB updates did not
affect any geographic areas for purposes
of the HH PPS wage index calculation.
In the CY 2021 HH PPS final rule (85
FR 70298), we finalized our proposal to
adopt the revised OMB delineations
with a 5-percent cap on wage index
decreases in CY 2021. In the CY 2023
HH PPS final rule (87 FR 66851 through
66853), we finalized a policy that the
CY HH PPS wage index will include a
permanent 5-percent cap on wage index
decreases for CY 2023 and each
subsequent year. Specifically, we
finalized for CY 2023 and subsequent
years, the application of a permanent 5percent cap on any decrease to a
geographic area’s wage index from its
wage index in the prior year, regardless
of the circumstances causing the
decline. That is, we finalized a policy
requiring that a geographic area’s wage
index for CY 2023 will not be less than
95 percent of its final wage index for CY
2022, regardless of whether the
geographic area is part of an updated
CBSA, and that for subsequent years, a
geographic area’s wage index will not be
less than 95 percent of its wage index
calculated in the prior CY. Previously
this methodology was applied to all the
counties that make up a CBSA or
statewide rural area. However, as
discussed in section II.E.2. of this final
rule, because we proposed to adopt the
revised OMB delineations, we also
proposed that this methodology would
also be applied to individual counties.
On July 21, 2023, OMB issued
Bulletin No. 23–01, which updates and
supersedes OMB Bulletin No. 20–01,
issued on March 6, 2020. OMB Bulletin
No. 23–01 establishes revised
delineations for the MSAs, Micropolitan
Statistical Areas, Combined Statistical
Areas, and Metropolitan Divisions,
collectively referred to as Core Based
Statistical Areas (CBSAs). According to
OMB, the delineations reflect the 2020
Standards for Delineating Core Based
Statistical Areas (CBSAs) (the ‘‘2020
Standards’’), which appeared in the
Federal Register (86 FR 37770 through
37778) on July 16, 2021, and application
of those standards to Census Bureau
population and journey-to-work data
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(for example, 2020 Decennial Census,
American Community Survey, and
Census Population Estimates Program
data). A copy of OMB Bulletin No. 23–
01 is available online at https://
www.whitehouse.gov/wp-content/
uploads/2023/07/OMB-Bulletin-2301.pdf. The July 21, 2023, OMB Bulletin
No. 23–01 contains a number of
significant changes. For example, there
are new CBSAs, urban counties that
have become rural, rural counties that
have become urban, and existing CBSAs
that have been split apart. We believe it
is important for the HH PPS wage index
to use the latest OMB delineations
available in order to maintain a more
accurate and up-to-date payment system
that reflects the reality of population
shifts and labor market conditions. We
further believe that using the most
current OMB delineations will increase
the integrity of the HH PPS wage index
by creating a more accurate
representation of geographic variation in
wage levels. We proposed to implement
the new OMB delineations as described
in the July 21, 2023, OMB Bulletin No.
23–01 for the HH PPS wage index
effective beginning in CY 2025. The
proposal was also consistent with the
proposals to adopt the revised OMB
delineations in the IPPS and other postacute care payment systems.
a. Micropolitan Statistical Areas
As discussed in the CY 2006 HH PPS
proposed rule (70 FR 40788) and final
rule (70 FR 68132), CMS considered
how to use the Micropolitan statistical
area definitions in the calculation of the
wage index. At the time, OMB defined
a ‘‘Micropolitan Statistical Area’’ as a
CBSA associated with at least one urban
cluster that has a population of at least
10,000, but less than 50,000 (75 FR
37252). We referred to these as
Micropolitan Areas. After extensive
impact analysis, consistent with the
treatment of these areas under the IPPS
as discussed in the fiscal year (FY) 2005
IPPS final rule (69 FR 49029 through
49032), we determined the best course
of action will be to treat Micropolitan
Areas as ‘‘rural’’ and include them in
the calculation of each state’s home
health rural wage index (see 70 FR
40788 and 70 FR 68132). Thus, the HH
PPS statewide rural wage index is
determined using IPPS hospital data
from hospitals located in nonMetropolitan Statistical Areas (MSAs).
In the CY 2021 HH PPS final rule (85
FR 70298), we finalized a policy to
continue to treat Micropolitan Areas as
‘‘rural’’ and to include Micropolitan
Areas in the calculation of each state’s
rural wage index.
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88407
The OMB ‘‘2020 Standards’’ continue
to define a ‘‘Micropolitan Statistical
Area’’ as a CBSA with at least one urban
area that has a population of at least
10,000, but less than 50,000. The
Micropolitan Statistical Area comprises
the central county or counties
containing the core, plus adjacent
outlying counties having a high degree
of social and economic integration with
the central county, or counties as
measured through commuting (86 FR
37778). Overall, there are the same
number of Micropolitan Areas (542)
under the new OMB delineations based
on the 2020 Census as there were using
the 2010 Census. We note, however, that
a number of urban counties have
switched status and have joined or
become Micropolitan Areas, and some
counties that once were part of a
Micropolitan Area, and thus were
treated as rural, have become urban
based on the 2020 Decennial Census
data. In the CY 2025 HH PPS proposed
rule, we stated that we believe that the
best course of action would be to
continue our established policy and
include Micropolitan Areas in each
state’s rural wage index as these areas
continue to be defined as having
relatively small urban cores
(populations of 10,000 to 49,999) (89 FR
55364). Therefore, in conjunction with
our proposal to implement the new
OMB labor market delineations
beginning in CY 2025, and consistent
with the treatment of Micropolitan
Areas under the IPPS, we also proposed
to continue to treat Micropolitan Areas
as ‘‘rural’’ and to include Micropolitan
Areas in the calculation of each state’s
rural wage index.
Final Decision: We did not receive
any comments on our proposal to
continue to treat Micropolitan Areas as
rural and to include those areas in the
calculation of each State’s rural wage
index. We are finalizing this policy as
proposed.
b. Change to County-Equivalents in the
State of Connecticut
In a June 6, 2022, Federal Register
notice (87 FR 34235 through 34240), the
Census Bureau announced that it was
implementing the State of Connecticut’s
request to replace the eight counties in
the State with nine new ‘‘Planning
Regions.’’ Planning regions are included
in OMB Bulletin No. 23–01 and now
serve as county-equivalents within the
CBSA system. We evaluated the change
and proposed to adopt the planning
regions as county equivalents for wage
index purposes. We believe it is
necessary to adopt this migration from
counties to planning region countyequivalents in order to maintain
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consistency with our established policy
of adopting the most recent OMB
updates. We provided the crosswalk in
table 26 of the proposed rule (89 FR
55364) for counties located in
Connecticut with the current and
proposed Federal Information
Processing Series (FIPS) county and
county-equivalent codes and CBSA
assignments.
TABLE 13: CROSSWALK OF CONNECTICUT COUNTY EQUIVALENTS
Old
CBSAor
Redesignated
NewFIPS
CBSAor
FIPS
NonCounty
urban
County
Non-urban
Area
CY 2025 Plannine: Ree:ion
Area
Code
Countv
Code
09001
FAIRFIELD
14860
09190
WESTERN CONNECTICUT
14860
09001
FAIRFIELD
14860
09120
GREATER BRIDGEPORT
14860
25540
09110
CAPITOL
25540
09003 HARTFORD
09160
NORTHWEST HILLS
09005 LITCHFIELD
99907
99907
25540
LOWER CONNECTICUT RIVER VALLEY
25540
09007 MIDDLESEX
09130
09140
NAUGATUCK VALLEY
47930
09009 NEWHAVEN
35300
09170
SOUTH CENTRAL CONNECTICUT
09009 NEWHAVEN
35300
35300
09011
09180
SOUTHEASTERN CONNECTICUT
NEWLONDON
35980
35980
25540
09110
CAPITOL
25540
09013 TOLLAND
09015 WINDHAM
49340
09150
NORTHEASTERN CONNECTICUT
50003
Note: Beginning in CY 2025, the Northeastern Planning Region will be redesignated into rural Connecticut but must
use transition code 50003 for home health claims processing to receive the correct wage index value.
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codes and CBSA/transition code
assignments.
c. Urban Counties That Will Become
Rural
In the CY 2025 HH PPS proposed
rule, we inadvertently omitted
Windham County, CT from the list of
counties that would become rural under
the revised OMB statistical area
delineations (based upon OMB Bulletin
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Frm 00056
Fmt 4701
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No. 23–01). For this final rule,
Windham County has been included.
Therefore, there are a total of 54
counties (and county equivalents) that
are currently considered urban that will
be considered rural beginning in CY
2025. Table 14 lists the 54 counties that
will become rural if we finalize our
proposal to implement the revised OMB
delineations.
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Final Decision: We did not receive
any comments on our proposal to adopt
the Connecticut planning regions as
county equivalents for wage index
purposes. We are finalizing this policy
as proposed. The crosswalk in table 13
includes counties located in
Connecticut with the current and final
FIPS county and county-equivalent
Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
88409
TABLE 14: URBAN COUNTIES THAT WILL CHANGE TO RURAL STATUS
01129
05025
05047
05069
05079
09015
10005
13171
16077
17057
17077
17087
17183
17199
18121
18133
18161
21091
21101
22045
24001
24047
25011
26155
27075
28031
31051
36123
37049
37077
37085
37087
37103
37137
42037
42085
42089
42093
42103
45027
48431
49003
51113
51175
51620
54035
54043
54057
55069
72001
72055
72081
72083
72141
County Name
WASHINGTON
CLEVELAND
FRANKLIN
JEFFERSON
LINCOLN
WINDHAM
SUSSEX
LAMAR
POWER
FULTON
JACKSON
JOHNSON
VERMILION
WILLIAMSON
PARKE
PUTNAM
UNION
HANCOCK
HENDERSON
IBERIA
ALLEGANY
WORCESTER
FRANKLIN
SHIAWASSEE
LAKE
COVINGTON
DIXON
YATES
CRAVEN
GRANVILLE
HARNETT
HAYWOOD
JONES
PAMLICO
COLUMBIA
MERCER
MONROE
MONTOUR
PIKE
CLARENDON
STERLING
BOX ELDER
MADISON
SOUTHAMPTON
FRANKLIN CITY
JACKSON
LINCOLN
MINERAL
LINCOLN
ADJUNTAS
GUANICA
LARES
LASMARIAS
UTUADO
We invited public comment on our
proposal to redesignate the urban
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State
AL
AR
AR
AR
AR
CT
DE
GA
ID
IL
IL
IL
IL
IL
IN
IN
IN
KY
KY
LA
MD
MD
MA
MI
MN
MS
NE
NY
NC
NC
NC
NC
NC
NC
PA
PA
PA
PA
PA
SC
TX
UT
VA
VA
VA
WV
WV
WV
WI
PR
PR
PR
PR
PR
Current
CBSA
33660
38220
22900
38220
38220
49340
41540
12060
38540
37900
16060
16060
19180
16060
45460
26900
17140
36980
21780
29180
19060
41540
44140
29620
20260
25620
43580
40380
35100
20500
22180
11700
35100
35100
14100
49660
20700
14100
35084
44940
41660
36260
47894
47260
47260
16620
16620
19060
48140
38660
49500
10380
32420
10380
Current CBSA Name
Mobile,AL
Pine Bluff, AR
Fort Smith, AR-OK
Pine Bluff, AR
Pine Bluff, AR
Worcester, MA-CT
Salisburv, MD-DE
Atlanta-Sandy Springs-Alpharetta, GA
Pocatello, ID
Peoria, IL
Carbondale-Marion, IL
Carbondale-Marion, IL
Danville, IL
Carbondale-Marion, IL
Terre Haute, IN
Indianapolis-Carmel-Anderson, IN
Cincinnati, OH-KY-IN
Owensboro, KY
Evansville, IN-KY
Lafayette, LA
Cumberland, MD-WV
Salisburv, MD-DE
Springfield, MA
Lansing-East Lansing, MI
Duluth, MN-WI
Hattiesburg, MS
Sioux City, IA-NE-SD
Rochester, NY
NewBem,NC
Durham-Chapel Hill, NC
Fayetteville, NC
Asheville, NC
NewBem,NC
NewBem,NC
Bloomsburg-Berwick, PA
Youngstown-Warren-Boardman, OH-PA
East Stroudsburg, PA
Bloomsburg-Berwick, PA
Newark, NJ-PA
Sumter, SC
San Angelo, TX
Ogden-Clearfield, UT
Washington-Arlington-Alexandria, DC-VA-MD-WV
Virginia Beach-Norfolk-Newport News, VA-NC
Virginia Beach-Norfolk-Newport News, VA-NC
Charleston, WV
Charleston, WV
Cumberland, MD-WV
Wausau-Weston, WI
Ponce, PR
Yauco, PR
A2:1.iadilla-Isabela, PR
Mayagilez, PR
A2.lladilla-Isabela, PR
counties in table 14 as rural based on
PO 00000
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the revised OMB delineations from
OMB Bulletin No. 23–01.
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Code
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Comment: Several commenters
expressed concern with the proposal to
redesignate urban counties as rural
based on the revised delineations from
OMB Bulletin No. 23–01. A few
commenters stated that changes to the
wage index that would move some
agencies from an urban designation to a
rural one would further reduce agency
reimbursement at a time when rural
agencies are facing increased challenges
recruiting and retaining employees.
Another commenter stated that utilizing
the revised OMB data for the CBSAs
results in even more disparity between
urban and rural agencies than there was
under the prior delineations. This
commenter stated that the one-year
wage index cap of 5 percent is
insufficient to mitigate rate decreases
and that many newly classified rural
agencies will be severely impacted.
Response: We appreciate the concerns
raised by the commenters. However, we
continue to believe it is important for
the HH PPS wage index to use the latest
OMB delineations available in order to
maintain a more accurate and up-to-date
payment system that reflects the reality
of population shifts and labor market
conditions. We note that unlike other
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payment systems, the appropriate home
health wage index value is applied 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) and not the agency’s
location. While some urban counties are
becoming rural based on the revised
delineations, HHAs are able to serve
beneficiaries in more than one county
including counties that remain
designated as urban. Furthermore, as
discussed later in this final rule, we
believe that applying the permanent 5percent cap policy at the county level
would mitigate potential negative
impacts experienced by HHAs who
provide services in counties that have
been redesignated as rural. We proposed
to apply the permanent 5-percent cap at
the county level so that counties that
move from a CBSA or statewide rural
area with a higher wage index value into
a new CBSA or rural area with a lower
wage index value will have a CY 2025
wage index that is not less than 95
percent of the county’s CY 2024 wage
index value under the old delineation,
despite moving into a new delineation
with a lower wage index. We also
proposed that the 5-percent cap would
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continue to be applied in these counties
until a county’s current calendar year
wage index under the revised
delineations is not less than 95 percent
of the wage index from the previous
calendar year. Therefore, we believe the
5-percent cap applied at the county
level is sufficient to mitigate any
negative impacts of adopting the revised
delineations.
Final Decision: After consideration of
public comments, we are finalizing the
proposal to redesignate the 54 urban
counties listed in table 14 as rural for
purposes of the HH PPS wage index
beginning in CY 2025.
d. Rural Counties That Will Become
Urban
Under the revised OMB statistical
area delineations (based upon OMB
Bulletin No. 23–01), a total of 54
counties (and county equivalents) that
are currently located in rural areas will
be considered located in urban areas
under the revised OMB delineations
beginning in CY 2025. Table 15 lists the
54 counties that will be urban if we
finalize our proposal to implement the
revised OMB delineations.
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88411
TABLE 15: RURAL COUNTIES THAT WILL CHANGE TO URBAN STATUS
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01087
01127
12133
13187
15005
17053
17127
18159
18179
20021
21007
21039
21127
21139
21145
21179
22053
22083
26015
26019
26055
26079
26089
27133
28009
28123
30007
30031
30043
30049
30061
32019
37125
38049
38075
38101
39007
39043
41013
41031
42073
45087
46033
47081
48007
48035
48079
48169
48219
48323
48407
51063
51181
55123
CountvName
MACON
WALKER
WASHINGTON
LUMPKIN
KALAWAO
FORD
MASSAC
TIPTON
WELLS
CHEROKEE
BALLARD
CARLISLE
LAWRENCE
LIVINGSTON
MCCRACKEN
NELSON
JEFFRSON DAVIS
RICHLAND
BARRY
BENZIE
GRAND TRAVERSE
KALKASKA
LEELANAU
ROCK
BENTON
SCOTT
BROADWATER
GALLATIN
JEFFERSON
LEWIS AND CLARK
MINERAL
LYON
MOORE
MCHENRY
RENVILLE
WARD
ASHTABULA
ERIE
CROOK
JEFFERSON
LAWRENCE
UNION
CUSTER
HICKMAN
ARANSAS
BOSQUE
COCHRAN
GARZA
HOCKLEY
MAVERICK
SAN JACINTO
FLOYD
SURRY
VERNON
AL
AL
FL
GA
HI
IL
IL
IN
IN
KS
KY
KY
KY
KY
KY
KY
LA
LA
MI
MI
MI
MI
MI
MN
MS
MS
MT
MT
MT
MT
MT
NV
NC
ND
ND
ND
OH
OH
OR
OR
PA
SC
SD
TN
TX
TX
TX
TX
TX
TX
TX
VA
VA
WI
Final Decision: We did not receive
public comments on our proposal to
redesignate the 54 rural counties listed
in table 15 as urban based on the revised
OMB delineations from OMB Bulletin
No. 23–01. Therefore, we are finalizing
the policy as proposed.
VerDate Sep<11>2014
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Final CY
2025 CBSA
12220
13820
37460
12054
27980
16580
37140
26900
23060
27900
37140
37140
26580
37140
37140
31140
29340
33740
24340
45900
45900
45900
45900
43620
32820
27140
25740
14580
25740
25740
33540
39900
38240
33500
33500
33500
17410
41780
13460
13460
38300
43900
39660
34980
18580
47380
31180
31180
31180
20580
26420
13980
47260
29100
Final CY 2025 CBSA Name
Auburn-Ooelika, AL
Birmingham, AL
Panama City-Panama City Beach, FL
Atlanta-Sandy Springs-Roswell, GA
Kahului-Wailuku, HI
Champail/,n-Urbana, IL
Paducah, KY-IL
Indianaoolis-Carmel-Greenwood, IN
Fort Wavne, IN
Joolin, MO-KS
Paducah, KY-IL
Paducah, KY-IL
Huntington-Ashland, WV-KY-OH
Paducah, KY-IL
Paducah, KY-IL
Louisville/Jefferson Countv, KY-IN
Lake Charles, LA
Monroe,LA
Grand Raoids-Wvoming-Kentwood, MI
Traverse Citv, MI
Traverse City, MI
Traverse City, MI
Traverse City, MI
Sioux Falls, SD-MN
Memphis, TN-MS-AR
Jackson, MS
Helena,MT
Bozeman,MT
Helena, MT
Helena,MT
Missoula, MT
Reno,NV
Pinehurst-Southern Pines, NC
Minot,ND
Minot,ND
Minot,ND
Cleveland, OH
Sanduskv, OH
Bend, OR
Bend, OR
Pittsburgh, PA
Spartanburl/,, SC
Rapid Citv, SD
Nashville-Davidson--Murfreesboro--Franklin, TN
Corpus Christi, TX
Waco, TX
Lubbock, TX
Lubbock, TX
Lubbock, TX
Eagle Pass, TX
Houston-Pasadena-The Woodlands, TX
Blacksburl/,-Christiansburl/,-Radford, VA
Virl/,inia Beach-Chesapeake-Norfolk, VA-NC
La Crosse-Onalaska, WI-MN
e. Urban Counties That Will Move to a
Different Urban CBSA Under the
Revised OMB Delineations
In addition to some rural counties
becoming urban and some urban
counties becoming rural, several urban
counties will shift from one urban CBSA
to a new or existing urban CBSA under
our proposal to adopt the revised OMB
PO 00000
Frm 00059
Fmt 4701
Sfmt 4700
delineations. In other cases, applying
the new OMB delineations will involve
a change only in CBSA name or number,
while the CBSA will continue to
encompass the same constituent
counties. For example, CBSA 35154
(New Brunswick-Lakewood, NJ) will
experience both a change to its number
and its name and become CBSA 29484
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Code
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(Lakewood-New Brunswick, NJ), while
all three of its constituent counties will
remain the same. In other cases, only
the name of the CBSA will be modified.
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Table 16 lists CBSAs that will change in
name and/or CBSA number only, but
the constituent counties will not change
(except in instances where an urban
PO 00000
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Sfmt 4700
county became rural or a rural county
became urban, as discussed in the
previous section).
BILLING CODE 4120–01–P
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88413
TABLE 16: URBAN AREAS WITH CBSA NAME AND/OR NUMBER CHANGE
10380
10540
12420
12540
13820
13980
15260
15680
16540
16984
17460
19430
19740
21060
21780
21820
22660
23224
23844
24340
24860
25940
26380
26420
26900
27900
27980
29404
29820
31020
34740
34820
35084
35154
35840
36084
36260
36540
37460
39100
39340
39540
41540
41620
42680
42700
43620
44420
44700
45540
47220
47260
48140
48300
48424
49340
49660
Current CBSAName
Aguadilla-Isabela, PR
Albany-Lebanon, OR
Austin-Round Rock-Georgetown, TX
Bakersfield, CA
Birmingham-Hoover, AL
Blacksburg-Christiansburg, VA
Brunswick, GA
California-Lexington Park, MD
Chambersburg-Waynesboro, PA
Chicago-Naperville-Evanston, IL
Cleveland-Elyria, OH
Dayton-Kettering, OH
Denver-Aurora-Lakewood, CO
Elizabethtown-Fort Knox, KY
Evansville, IN-KY
Fairbanks, AK
Fort Collins, CO
Frederick-Gaithersburg-Rockville, MD
Garv, IN
Grand Rapids-Kentwood, MI
Greenville-Anderson, SC
Hilton Head Island-Bluffton, SC
Houma-Thibodaux, LA
Houston-The Woodlands-Sugar Land, TX
Indianapolis-Carmel-Anderson, IN
Joplin, MO
Kahului-Wailuku-Lahaina, HI
Lake County-Kenosha County, IL-WI
Las Vegas-Henderson-Paradise, NV
Longview, WA
Muskegon, MI
Myrtle Beach-Conway-North Myrtle Beach, SC-NC
Newark, NJ-PA
New Brunswick-Lakewood, NJ
North Port-Sarasota-Bradenton, FL
Oakland-BerkeleY-LiYermore, CA
Ogden-Clearfield, UT
Omaha-Council Bluffs, NE-IA
Panama City, FL
Poughkeepsie-Newburgh-Middletown, NY
Provo-Orem, UT
Racine, WI
Salisburv, MD-DE
Salt Lake City, UT
Sebastian-Vero Beach, FL
Sebring-Avon Park, FL
Sioux Falls, SD
Staunton, VA
Stockton, CA
The Villages, FL
Vineland-Bridgeton, NJ
Virginia Beach-Norfolk-Newoort News, VA-NC
Wausau-Weston, WI
Wenatchee, WA
West Palm Beach-Boca Raton-Boynton Beach, FL
Worcester, MA-CT
Youngstown-Warren-Boardman, OH-PA
In some cases, all urban counties from
a CY 2024 CBSA will be moved and
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Final CY
2025
CBSA
Code
10380
10540
12420
12540
13820
13980
15260
30500
16540
16984
17410
19430
19740
21060
21780
21820
22660
23224
29414
24340
24860
25940
26380
26420
26900
27900
27980
29404
29820
31020
34740
34820
35084
29484
35840
36084
36260
36540
37460
28880
39340
39540
41540
41620
42680
42700
43620
44420
44700
48680
47220
47260
48140
48300
48424
49340
49660
Final CY 2025 CBSA Name
Aguadilla, PR
Albany, OR
Austin-Round Rock-San Marcos, TX
Bakersfield-Delano, CA
Birmingham, AL
Blacksburg-Christiansburg-Radford, VA
Brunswick-St. Simons, GA
Lexington Park, MD
Chambersburg, PA
Chicago-Naperville-Schaumburg, IL
Cleveland, OH
Dayton-Kettering-Beavercreek, OH
Denver-Aurora-Centennial, CO
Elizabethtown, KY
Evansville, IN
Fairbanks-College, AK
Fort Collins-Loveland, CO
Frederick-Gaithersburg-Bethesda, MD
Lake County-Porter County-Jasper County, IN
Grand Rapids-Wyoming-Kentwood, MI
Greenville-Anderson-Greer, SC
Hilton Head Island-Bluffton-Port Royal, SC
Houma-Bavou Cane-Thibodaux, LA
Houston-Pasadena-The Woodlands, TX
Indianapolis-Carmel-Greenwood, IN
Joplin, MO-KS
Kahului-Wailuku, HI
Lake County, IL
Las Vegas-Henderson-North Las Vegas, NV
Longview-Kelso, WA
Muskegon-Norton Shores, MI
Myrtle Beach-Conway-North Myrtle Beach, SC
Newark, NJ
Lakewood-New Brunswick, NJ
North Port-Bradenton-Sarasota, FL
Oakland-Fremont-Berkeley, CA
Ogden, UT
Omaha, NE-IA
Panama City-Panama City Beach, FL
Kiryas Joel-Poughkeepsie-Newburgh, NY
Provo-Orem-Lehi, UT
Racine-Mount Pleasant, WI
Salisburv, MD
Salt Lake City-Murray, UT
Sebastian-Vero Beach-West Vero Corridor, FL
Sebring, FL
Sioux Falls, SD-MN
Staunton-Stuarts Draft, VA
Stockton-Lodi, CA
Wildwood-The Villages, FL
Vineland, NJ
Virginia Beach-Chesaoeake-Norfolk, VA-NC
Wausau, WI
Wenatchee-East Wenatchee, WA
West Palm Beach-Boca Raton-Delray Beach, FL
Worcester, MA
Youngstown-Warren, OH
subsumed by another CBSA in CY 2025.
Table 17 lists the CBSAs that, under our
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CBSA
Code
88414
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statistical area delineations, will be
subsumed by another CBSA.
TABLE 17: URBAN AREAS THAT WILL BE SUBSUMED BY ANOTHER CBSA
31460
36140
41900
Current CBSA Name
Madera, CA
Ocean City, NJ
San German, PR
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In other cases, if we adopt the new
OMB delineations, some counties will
shift between existing and new CBSAs,
changing the constituent makeup of the
CBSAs. In another type of change, some
CBSAs have counties that will split off
to become part of, or to form entirely
new labor market areas. For example,
the District of Columbia, DC, Charles
County, MD and Prince Georges County,
MD will move from CBSA 47894
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Final CY 2025
CBSACode
23420
12100
32420
Final CY 2025 CBSA Name
Fresno, CA
Atlantic City-Hammonton, NJ
Mavaruez, PR
(Washington-Arlington-Alexandria, DCVA-MD-WV) into CBSA 47764
(Washington, DC-Md). Calvert County,
MD will move from CBSA 47894
(Washington-Arlington-Alexandria, DCVA-MD-WV) into CBSA 30500
(Lexington Park, MD). The remaining
counties that currently make up 47894
(Washington-Arlington-Alexandria, DCVA-MD-WV) will move into CBSA
11694 (Arlington-Alexandria-Reston,
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VA-WV). Finally, in some cases, a CBSA
will lose counties to another existing
CBSA if we adopt the new OMB
delineations. For example, Grainger
County, TN will move from CBSA
34100 (Morristown, TN) into CBSA
28940 (Knoxville, TN). Table 18 lists the
73 urban counties that will move from
one urban CBSA to a new or modified
urban CBSA if we adopt the revised
OMB delineations.
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Code
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FIPS County
Code
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07NOR2
County Name
BARROW
BUTTS
CARROLL
CLAYTON
COWETA
DAWSON
DEKALB
DOUGLAS
FAYETTE
FORSYTH
FULTON
GWINNETT
HEARD
HENRY
JASPER
MERIWETHER
MORGAN
NEWTON
PICKENS
PIKE
ROCKDALE
SPALDING
WALTON
BARTOW
CHEROKEE
COBB
HARALSON
PAULDING
MEADE
LAKE
KENOSHA
MADERA
GRAINGER
BRUNSWICK
ST. TAMMANY
CAPE MAY
CABOROJO
LAJAS
SABANA GRANDE
SAN GERMAN
SNOHOMISH
HAMPSHIRE
PINELLAS
HERNANDO
HILLSBOROUGH
State
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
KY
IL
WI
CA
TN
NC
LA
NJ
PR
PR
PR
PR
WA
MA
FL
FL
FL
12060
12060
12060
12060
12060
12060
12060
12060
12060
12060
12060
12060
12060
12060
12060
12060
12060
12060
12060
12060
12060
12060
12060
12060
12060
12060
12060
12060
21060
29404
29404
31460
34100
34820
35380
36140
41900
41900
41900
41900
42644
44140
45300
45300
45300
Current CBSAName
Atlanta-Sandy Springs-Alpharetta, GA
Atlanta-Sandy Springs-Alpharetta, GA
Atlanta-Sandy Springs-Alpharetta, GA
Atlanta-Sandy Springs-Alpharetta, GA
Atlanta-Sandy Springs-Alpharetta, GA
Atlanta-Sandy Springs-Alpharetta, GA
Atlanta-Sandy Springs-Alpharetta, GA
Atlanta-Sandy Springs-Alpharetta, GA
Atlanta-Sandy Springs-Alpharetta, GA
Atlanta-Sandy Springs-Alpharetta, GA
Atlanta-Sandy Springs-Alpharetta, GA
Atlanta-Sandy Springs-Alpharetta, GA
Atlanta-Sandy Springs-Alpharetta, GA
Atlanta-Sandy Springs-Alpharetta, GA
Atlanta-Sandy Springs-Alpharetta, GA
Atlanta-Sandy Springs-Alpharetta, GA
Atlanta-Sandy Springs-Alpharetta, GA
Atlanta-Sandy Springs-Alpharetta, GA
Atlanta-Sandy Sorings-Alpharetta, GA
Atlanta-Sandy Sorings-Alpharetta, GA
Atlanta-Sandy Springs-Alpharetta, GA
Atlanta-Sandy Sorings-Alpharetta, GA
Atlanta-Sandy Sorings-Alpharetta, GA
Atlanta-Sandy Springs-Alpharetta, GA
Atlanta-Sandy Springs-Alpharetta, GA
Atlanta-Sandy Springs-Alpharetta, GA
Atlanta-Sandy Springs-Alpharetta, GA
Atlanta-Sandy Springs-Alpharetta, GA
Elizabethtown-Fort Knox, KY
Lake County-Kenosha County, IL-WI
Lake County-Kenosha County, IL-WI
Madera, CA
Morristown, TN
Myrtle Beach-Conway-North Myrtle Beach, SC-NC
New Orleans-Metairie, LA
Ocean City, NJ
San German, PR
San German, PR
San German, PR
San German, PR
Seattle-Bellevue-Kent, WA
Springfield, MA
Tampa-St. Petersburg-Clearwater, FL
Tampa-St. Petersburg-Clearwater, FL
Tampa-St. Petersburg-Clearwater, FL
Final
CY2025
CBSA
12054
12054
12054
12054
12054
12054
12054
12054
12054
12054
12054
12054
12054
12054
12054
12054
12054
12054
12054
12054
12054
12054
12054
31924
31924
31924
31924
31924
31140
29404
28450
23420
28940
48900
43640
12100
32420
32420
32420
32420
21794
11200
41304
45294
45294
Final CY 2025 CBSA Name
Atlanta-Sandy Springs-Roswell, GA
Atlanta-Sandy Springs-Roswell, GA
Atlanta-Sandy Springs-Roswell, GA
Atlanta-Sandy Springs-Roswell, GA
Atlanta-Sandy Springs-Roswell, GA
Atlanta-Sandy Springs-Roswell, GA
Atlanta-Sandy Springs-Roswell, GA
Atlanta-Sandy Springs-Roswell, GA
Atlanta-Sandy Springs-Roswell, GA
Atlanta-Sandy Springs-Roswell, GA
Atlanta-Sandy Springs-Roswell, GA
Atlanta-Sandy Springs-Roswell, GA
Atlanta-Sandy Springs-Roswell, GA
Atlanta-Sandy Springs-Roswell, GA
Atlanta-Sandy Springs-Roswell, GA
Atlanta-Sandy Springs-Roswell, GA
Atlanta-Sandy Springs-Roswell, GA
Atlanta-Sandy Springs-Roswell, GA
Atlanta-Sandy Sorings-Roswell, GA
Atlanta-Sandy Sorings-Roswell, GA
Atlanta-Sandy Springs-Roswell, GA
Atlanta-Sandy Sorings-Roswell, GA
Atlanta-Sandy Sorings-Roswell, GA
Marietta, GA
Marietta, GA
Marietta, GA
Marietta, GA
Marietta, GA
Louisville/Jefferson County, KY-IN
Lake County, IL
Kenosha, WI
Fresno, CA
Knoxville, TN
Wilmington, NC
Slidell-Mandeville-Covington, LA
Atlantic City-Hammonton, NJ
Mayagiiez, PR
Mayagiiez, PR
Mayagiiez, PR
Mayagiiez, PR
Everett, WA
Amherst Town-Northampton, MA
St. Petersburg-Clearwater-Largo, FL
Tampa,FL
Tampa,FL
88415
13013
13035
13045
13063
13077
13085
13089
13097
13113
13117
13121
13135
13149
13151
13159
13199
13211
13217
13227
13231
13247
13255
13297
13015
13057
13067
13143
13223
21163
17097
55059
06039
47057
37019
22103
34009
72023
72079
72121
72125
53061
25015
12103
12053
12057
Current
CBSA
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12101
39123
51013
51043
51047
51059
51061
51107
51153
51157
51177
51179
51187
51510
51600
51610
51630
51683
51685
54037
11001
24017
24033
24009
24037
72059
72111
72153
CountvName
PASCO
OTTAWA
ARLINGTON
CLARKE
CULPEPER
FAIRFAX
FAUQUIER
LOUDOUN
PRINCE WILLIAM
RAPPAHANNOCK
SPOTSYLVANIA
STAFFORD
WARREN
ALEXANDRIA CITY
FAIRFAX CITY
FALLS CHURCH CITY
FREDERICKSBURG CITY
MANASSAS CITY
MANASSAS PARK CITY
JEFFERSON
THE DISTRICT
CHARLES
PRINCE GEORGES
CALVERT
ST.MARYS
GUAYANILLA
PENUELAS
YAUCO
State
FL
OH
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
WV
DC
MD
MD
MD
MD
PR
PR
PR
Current
CBSA
45300
45780
47894
47894
47894
47894
47894
47894
47894
47894
47894
47894
47894
47894
47894
47894
47894
47894
47894
47894
47894
47894
47894
47894
15680
49500
49500
49500
Current CBSAName
Tampa-St. Petersburg-Clearwater, FL
Toledo, OH
Washington-Arlington-Alexandria, DC-VA-MD-WV
Washington-Arlington-Alexandria, DC-VA-MD-WV
Washington-Arlington-Alexandria, DC-VA-MD-WV
Washington-Arlington-Alexandria, DC-VA-MD-WV
Washington-Arlington-Alexandria, DC-VA-MD-WV
Washington-Arlington-Alexandria, DC-VA-MD-WV
Washington-Arlington-Alexandria, DC-VA-MD-WV
Washington-Arlington-Alexandria, DC-VA-MD-WV
Washington-Arlington-Alexandria, DC-VA-MD-WV
Washington-Arlington-Alexandria, DC-VA-MD-WV
Washington-Arlington-Alexandria, DC-VA-MD-WV
Washington-Arlington-Alexandria, DC-VA-MD-WV
Washington-Arlington-Alexandria, DC-VA-MD-WV
Washington-Arlington-Alexandria, DC-VA-MD-WV
Washington-Arlington-Alexandria, DC-VA-MD-WV
Washington-Arlington-Alexandria, DC-VA-MD-WV
Washington-Arlington-Alexandria, DC-VA-MD-WV
Washington-Arlington-Alexandria, DC-VA-MD-WV
Washington-Arlington-Alexandria, DC-VA-MD-WV
Washington-Arlington-Alexandria, DC-VA-MD-WV
Washington-Arlington-Alexandria, DC-VA-MD-WV
Washington-Arlington-Alexandria, DC-VA-MD-WV
California-Lexington Park, MD
Yauco,PR
Yauco,PR
Yauco,PR
Final
CY2025
CBSA
45294
41780
11694
11694
11694
11694
11694
11694
11694
11694
11694
11694
11694
11694
11694
11694
11694
11694
11694
11694
47764
47764
47764
30500
30500
38660
38660
38660
Final CY 2025 CBSA Name
Tamoa,FL
Sanduskv, OH
Arlington-Alexandria-Reston, VA-WV
Arlington-Alexandria-Reston, VA-WV
Arlington-Alexandria-Reston, VA-WV
Arlington-Alexandria-Reston, VA-WV
Arlington-Alexandria-Reston, VA-WV
Arlington-Alexandria-Reston, VA-WV
Arlington-Alexandria-Reston, VA-WV
Arlington-Alexandria-Reston, VA-WV
Arlington-Alexandria-Reston, VA-WV
Arlington-Alexandria-Reston, VA-WV
Arlington-Alexandria-Reston, VA-WV
Arlington-Alexandria-Reston, VA-WV
Arlington-Alexandria-Reston, VA-WV
Arlington-Alexandria-Reston, VA-WV
Arlington-Alexandria-Reston, VA-WV
Arlington-Alexandria-Reston, VA-WV
Arlington-Alexandria-Reston, VA-WV
Arlington-Alexandria-Reston, VA-WV
Washington, DC-MD
Washington, DC-MD
Washington, DC-MD
Lexington Park, MD
Lexington Park, MD
Ponce, PR
Ponce, PR
Ponce, PR
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A summary of the general comments
on our proposals to adopt the revised
delineations from OMB Bulletin No. 23–
01 appears below:
Comment: Some commenters,
including MedPAC, were generally
supportive of the proposals to adopt the
revised delineations from OMB Bulletin
No. 23–01. A commenter expressed
support for the proposal to adopt the
new OMB delineations as described in
OMB Bulletin 23–01 for the HH PPS
wage index effective beginning in CY
2025. This commenter agreed that using
the most current OMB delineations
would increase the integrity of the HH
PPS wage index by creating a more
accurate representation of geographic
variations in wage levels. Another
commenter stated that until a new home
health wage index can be implemented,
the commenter supports CMS’ proposal
to continue using OMB’s most recent
statistical area delineations for the
hospital wage index.
Response: We thank the commenters
for their support.
Comment: A commenter opposed
what they describe as the automatic
adoption of the revised OMB
delineations. This commenter stated
that adopting the new delineations by
default is in opposition to both OMB
guidance and the Metropolitan Areas
Protection and Standardization Act of
2021 (MAPs Act). This commenter
stated that CMS has not provided any
rationale or explanation for why relying
on the updated CBSAs is appropriate
and that rather than simply adopting the
OMB CBSAs by default, CMS must
make a fact-specific determination of
those CBSAs’ suitability for Medicare
payment purposes, including whether it
would be appropriate to use additional
data to modify OMB’s delineation to
ensure that such changes are
appropriate for purposes of defining
regional labor markets for home health
workers.
Response: We acknowledge the
commenter’s concerns about adopting
CBSA changes. We do not agree with
the commenter’s assertion that this is
‘‘by default’’ or that CMS has not
provided rationale for the proposed
adoption of the revised CBSA
delineations for CY 2025. The MAPS
Act specifically states that ‘‘this act
limits the automatic application of, and
directs the Office of Management and
Budget (OMB) to provide information
about, changes to the standards for
designating a core-based statistical area
(CBSA) . . .’’ We believe our proposed
rule meets the requirements of the
MAPS Act, because we have not
automatically applied the revised
CBSAs outlined in OMB Bulletin 23–01.
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Rather, through notice and comment
rulemaking, we proposed the adoption
of the revised CBSA delineations.
Further, we stated our rationale for
adopting the revised CBSA delineations,
in that we believe it is important for the
HH PPS to use, as soon as is reasonably
possible, the latest available labor
market area delineations to maintain a
more accurate and up-to date payment
system that reflects the reality of
population shifts and labor market
conditions. We also stated that we
believe that using the most current
delineations would increase the
integrity of the HH PPS wage index
system by creating a more accurate
representation of geographic variations
in wage levels. With respect to the
suggestion that CMS consider whether it
would be appropriate to use additional
data to ensure that such changes are
appropriate for purposes of defining
regional labor markets for home health
workers, we do not believe use of such
additional analysis is necessary. Using
the latest available labor market area
delineations based on the latest
available CBSA delineations established
by OMB inherently reflects current
population and labor market conditions
and as such, results in a more accurate
payment system.
Comment: A few commenters
expressed concern with specific
redesignations in their areas. A
commenter stated that the proposed
adoption of the latest OMB delineations
for the home health wage index will
significantly impact several Florida
regions and that high-cost areas such as
Miami-Fort Lauderdale-West Palm
Beach, Tampa-St. PetersburgClearwater, and Orlando-KissimmeeSanford are likely to experience notable
reductions in their wage index values.
This commenter recommended that
CMS reconsider the proposed adoption
of the new delineations by accounting
for the distinctive economic and
demographic factors influencing highcost regions in Florida.
Several commenters opposed the
delineation change for rural Puerto Rico
where there is now a hospital in rural
Puerto Rico from which hospital wage
data can be derived. These commenters
stated the payment calculations to
providers will ultimately be reduced by
20.64 percent when using a wage index
of 0.2520 vs 0.4047. The commenters
stated that providers are unable to
operate at a 20 percent reduction,
particularly in the face of increasing
costs and expressed concern that this
reduction will lead to adverse impacts
for beneficiaries as the labor market
further shrinks and healthcare workers
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88417
exit the Puerto Rico market for other
areas or industries.
A commenter opposed the impact of
the adoption of the revised delineations
in Nassau, Suffolk, and Westchester
Counties in New York state. This
commenter requested CMS consider the
impact of the wage index changes on
Core-Based Statistical Areas (CBSAs)
with increasing labor costs and the
impact of these reductions on hospice,
home health, and other home-and
community-based providers in relation
to institutional care providers
Another commenter expressed
concern about the impact of county
reclassifications on home health
agencies serving Dukes and Nantucket
Counties in Massachusetts. The
commenter stated that as a result of the
reclassification of Franklin County, the
wage index for Dukes and Nantucket
counties has dropped by 10 percent in
the last 2 years and would drop an
additional 10 percent over the next 2
years and that Medicare beneficiaries on
those island communities are already
experiencing limited access to home
health services. The commenter stated
that the proposed 5 percent cut will
exacerbate that access problem and
recommended CMS reverse the
proposed 5 percent cut to the wage
index for Dukes and Nantucket Counties
to preserve access to home health
services in those counties.
Response: We appreciate the concerns
expressed by commenters regarding
specific impacts of implementing the
revised designations. While we
understand these concerns, we believe
that implementing the revised OMB
delineations will create more accurate
representations of labor market areas
nationally and result in home health
wage index values being more
representative of the actual costs of
labor in a given area. Although these
comments only addressed the negative
impact on certain areas, it is important
to note that there are many geographic
locations and home health providers
that will experience positive impacts
upon implementation of the revised
CBSA designations. We acknowledge
there are areas that will experience a
decrease in their wage index but believe
that the permanent 5-percent cap policy
provides an adequate safeguard against
any significant payment reductions in
CY 2025 while improving the accuracy
of the payment adjustment for
differences in area wage levels.
Therefore, we believe that it is
appropriate to implement the new OMB
delineations without further delay.
Final Decision: We are finalizing our
proposals to adopt the revised OMB
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delineations from OMB Bulletin No. 23–
01.
f. Transition Period
In the past we have provided for
transition periods when adopting
changes that have significant payment
implications, particularly large negative
impacts, in order to mitigate the
potential impacts of proposed home
health policies. For example, we have
proposed and finalized budget-neutral
transition policies to help mitigate
negative impacts on HHAs following the
adoption of the new CBSA delineations
based on the 2010 Decennial Census
data in the CY 2015 HH PPS final rule
(79 FR 66032). Specifically, we
implemented a 1-year 50/50 blended
wage to the new OMB delineations. We
applied a blended wage index for 1 year
(CY 2015) for all geographic areas that
will consist of a 50/50 blend of the wage
index values using OMB’s old area
delineations and the wage index values
using OMB’s new area delineations.
That is, for each county, a blended wage
index was calculated equal to 50
percent of the CY 2015 wage index
using the old labor market area
delineation and 50 percent of the CY
2015 wage index using the new labor
market area delineation, which resulted
in an average of the two values.
Additionally, in the CY 2021 HH PPS
final rule (85 FR 70312), we proposed
and finalized a transition policy to
apply a 5-percent cap on any decrease
in a geographic area’s wage index value
from the wage index value from the
prior CY. This transition allowed the
effects of our adoption of the revised
CBSA delineations from OMB Bulletin
18–04 to be phased in over 2 years,
where the estimated reduction in a
geographic area’s wage index was
capped at five percent in CY 2021 (that
is, no cap was applied to the reduction
in the wage index for the second year
(CY 2022)). We explained that we
believed a 5-percent cap on the overall
decrease in a geographic area’s wage
index value will be appropriate for CY
2021, as it provided predictability in
payment levels from CY 2020 to CY
2021 and additional transparency
because it was administratively simpler
than our prior one-year 50/50 blended
wage index approach.
In the CY 2023 HH PPS final rule (87
FR 66851 through 66853), we adopted a
permanent 5-percent cap on wage index
decreases beginning in CY 2023 and
each subsequent year. The policy
applies a permanent 5-percent cap on
any decrease to a geographic area’s wage
index from its wage index in the prior
year, regardless of the circumstances
causing the decline, so that a geographic
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area’s wage index will not be less than
95 percent of its wage index calculated
in the prior CY.
In the CY 2025 HH PPS proposed
rule, we stated that the permanent 5percent cap on wage index decreases
would be sufficient to mitigate any
potential negative impact caused by
adopting the revised OMB delineations
and that no further transition is
necessary. Previously, the 5-percent cap
had been applied at the CBSA or
statewide rural area level, meaning that
all the counties that make up the CBSA
or rural area received the 5-percent cap.
However, for CY 2025, to mitigate any
potential negative impact caused by the
adoption of the revised delineations, we
proposed that in addition to the 5percent cap being calculated for an
entire CBSA or statewide rural, the cap
would also be calculated at the county
level, so that individual counties
moving to a new delineation will not
experience more than a five percent
decrease in wage index from the
previous calendar year. Specifically, we
proposed for CY 2025, that the 5-percent
cap will also be applied to counties that
would move from a CBSA or statewide
rural area with a higher wage index
value into a new CBSA or rural area
with a lower wage index value, so that
the county’s CY 2025 wage index would
not be less than 95 percent of the
county’s CY 2024 wage index value
under the old delineation despite
moving into a new delineation with a
lower wage index.
Due to the way that we proposed to
calculate the 5-percent cap for counties
that experience an OMB designation
change, some CBSAs and statewide
rural areas could have more than one
wage index value because of the
potential for their constituent counties
to have different wage index values after
the redesignation. Specifically, some
counties that change OMB designations
will have a wage index value that is
different than the wage index value
assigned to the other constituent
counties that make up the CBSA or
statewide rural area that they are
moving into because of the application
of the 5-percent cap. However, for home
health claims processing, each CBSA or
statewide rural area can have only one
wage index value assigned to that CBSA
or statewide rural area.
Therefore, HHAs that serve
beneficiaries in a county that will
receive the cap will need to use a
number other than the CBSA or
statewide rural area number to identify
the county’s appropriate wage index
value on home health claims in CY
2025. We proposed that beginning in CY
2025, counties that have a different
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wage index value than the CBSA or
rural area into which they are
designated after the application of the 5percent cap will use a wage index
transition code. These special codes are
five digits in length and begin with ‘‘50’’
and the remaining digits are unique for
that code. We are using ‘‘Xs’’ to show
how the transition codes could be
labeled. The 50XXX 11 wage index
transition codes will be used only in
specific counties; counties located in
CBSAs and rural areas that do not
correspond to a different transition wage
index value will still use the CBSA
number. For example, FIPS county
13171 Lamar County, GA is currently
part of CBSA 12060 Atlanta-Sandy
Springs-Alpharetta. However, for CY
2025 we proposed that Lamar County
will be redesignated into the Rural
Georgia Code 99911. Because the wage
index value of rural Georgia is more
than a 5-percent decrease from the wage
index value that Lamar County
previously received under CBSA 12060,
the CY 2025 wage index for Lamar
County will be capped at 95 percent of
the CY 2024 wage index value for CBSA
12060. Additionally, because rural
Georgia can only have one wage index
value assigned to code 99911, in order
for Lamar County to receive the capped
wage index for CY 2025, a transition
code will be used on a home health
claim instead of rural Georgia code
99911.
We also proposed that the 5-percent
cap would apply to a county that
corresponds to a different wage index
value than the wage index value in the
CBSA or rural area in which they are
designated due to a delineation change
until the county’s new wage index is
more than 95 percent of the wage index
from the previous calendar year.
Therefore, in order to capture the
correct wage index value, an HHA will
continue to use the assigned 50XXX
transition code for the county until the
county’s wage index value calculated
for that calendar year using the new
OMB delineations is not less than 95
percent of the county’s capped wage
index from the previous calendar year.
Thus, in the example mentioned earlier,
claims for Lamar County will use the
assigned transition code until the wage
index in its revised designation of Rural
Georgia is equal to or more than 95
percent of its wage index value from the
previous calendar year.
The final counties that will require a
transition code and the corresponding
50XXX codes are shown in table 19 and
will also be shown in the CY 2025 HH
11 The remaining 3 characters of the code to be
determined if finalized.
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PPS wage index file. Table 19 includes
a list of counties that have changed
designation and must use a transition
code beginning in CY 2025. This list is
comprised of counties that are
redesignated into a new CBSA or rural
area and will receive the 5-percent cap
on wage index decreases. These
counties must use a transition code
because the wage index for that county
is higher than all other constituent
counties that make up the CBSA or rural
area (like the earlier example for Lamar
County, GA). Additionally, the list also
includes counties that move into a new
CBSA or rural area and have a different
wage index value because the
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constituent counties that make up the
CBSA or rural receive the 5-percent cap
for CY 2025 while the county that
moves into the CBSA or rural area does
not. For example, rural area 99922 rural
Massachusetts is comprised of FIPS
code 25007 Dukes County, FIPS code
25019 Nantucket County and the
redesignated FIPS code 25011 Franklin
County. Dukes County and Nantucket
County were part of rural area 99922
Massachusetts for CY 2024 and will
receive the 5-percent cap because the
CY 2025 wage index for rural area 99922
is more than a 5-percent decrease from
the CY 2024 wage index for rural area
99922. However, Franklin County was
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88419
included in CBSA 44140 Springfield,
MA, in FY 2024 and the uncapped CY
2025 wage index for rural area 99922 is
higher than the CY 2024 wage index for
CBSA 44140. In this example, Franklin
County, MA, would receive the
uncapped wage index for rural Area
99922 while Dukes and Nantucket
counties receive the 5-percent capped
wage index. Therefore, HHAs that serve
beneficiaries in Franklin County, MA,
must use the transition code 50012 on
home health claims instead of rural area
99922 Rural Massachusetts.
BILLING CODE 4120–01–P
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88420
FIPS
County
Code
01129
05047
Jkt 265001
PO 00000
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E:\FR\FM\07NOR2.SGM
07NOR2
09150
13171
15005
16077
17183
18133
21101
22045
24009
24047
25011
26155
27075
27133
32019
34009
36123
37077
37087
39123
42103
51113
51175
51620
54035
54043
54057
72001
72023
72079
72121
72125
72055
72059
72111
72153
72081
72141
72083
CountvName
WASHINGTON
FRANKLIN
NORTHEASTERN
CONNECTICUT
LAMAR
KALAWAO
POWER
VERMILION
PUTNAM
HENDERSON
IBERIA
CALVERT
WORCESTER
FRANKLIN
SHIAWASSEE
LAKE
ROCK
LYON
CAPE MAY
YATES
GRANVILLE
HAYWOOD
OTTAWA
PIKE
MADISON
SOUTHAMPTON
FRANKLIN CITY
JACKSON
LINCOLN
MINERAL
ADJUNTAS
CABOROJO
LAJAS
SABANA GRANDE
SAN GERMAN
GUANICA
GUAYANILLA
PENUELAS
YAUCO
LARES
UTUADO
LASMARIAS
CY2024
CBSA
33660
22900
CY 2024 CBSA Name
Mobile, AL
Fort Smith, AR-OK
49340
12060
99912
38540
19180
26900
21780
29180
47894
41540
44140
29620
20260
99924
99929
36140
40380
20500
11700
45780
35084
47894
47260
47260
16620
16620
19060
38660
41900
41900
41900
41900
49500
49500
49500
49500
10380
10380
32420
Worcester, MA-CT
Atlanta-Sandy Springs-Alpharetta, GA
HAWAII
Pocatello, ID
Danville, IL
Indianapolis-Carmel-Anderson, IN
Evansville, IN-KY
Lafayette, LA
Washington-Arlington-Alexandria, DC-VA-MD-WV
Salisburv, MD-DE
Springfield, MA
Lansing-East Lansing, Ml
Duluth, MN-WI
MINNESOTA
NEVADA
Ocean City, NJ
Rochester, NY
Durham-Chapel Hill, NC
Asheville, NC
Toledo, OH
Newark, NJ-PA
Washington-Arlington-Alexandria, DC-VA-MD-WV
Virginia Beach-Norfolk-Newport News, VA-NC
Virginia Beach-Norfolk-Newport News, VA-NC
Charleston, WV
Charleston WV
Cumberland, MD-WV
Ponce, PR
San Germ n, PR
San German, PR
San German, PR
San German, PR
Yauco, PR
Yauco, PR
Yauco, PR
Yauco, PR
Aguadilla-Isabela, PR
Aguadilla-Isabela, PR
Mayagiiez, PR
Redesignated
CBSAor
Rural Area
99901
99904
Redesignated CY 2025 CBSA
Name
ALABAMA
ARKANSAS
99907
99911
27980
99913
99914
99915
99918
99919
30500
99921
99922
99923
99924
43620
39900
12100
99933
99934
99934
41780
99939
99949
99949
99949
99951
99951
99951
99940
32420
32420
32420
32420
99940
38660
38660
38660
99940
99940
99940
CONNECTICUT
GEORGIA
Kahului-Wailuku, HT
IDAHO
ILLINOIS
INDIANA
KENTUCKY
LOUISIANA
Lexington Park, MD
MARYLAND
MASSACHUSETTS
MICHIGAN
MINNESOTA
Sioux Falls, SD-MN
Reno,NV
Atlantic City-Hammonton, NJ
NEWYORK
NORTH CAROLINA
NORTH CAROLINA
Sandusky, OH
PENNSYLVANIA
VIRGINIA
VIRGINIA
VIRGINIA
WEST VIRGINIA
WEST VIRGINIA
WEST VIRGINIA
PUERTO RICO
Mayagiiez, PR
Mavagiiez, PR
Mavagiiez, PR
Mayagiiez, PR
PUERTO RICO
Ponce, PR
Ponce, PR
Ponce, PR
PUERTO RICO
PUERTO RICO
PUERTO RICO
CY2025
Transition
Code
50001
50002
50003
50004
50005
50006
50007
50008
50009
50010
50011
50012
50013
50014
50015
50016
50017
50018
50019
50020
50021
50022
50023
50024
50025
50025
50026
50026
50027
50028
50029
50029
50029
50029
50030
50031
50031
50031
50032
50032
50033
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TABLE 19: COUNTIES THAT WILL USE A WAGE INDEX
TRANSITION CODE
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The following is a summary of the
comments on the proposal to use the
permanent 5-percent cap applied at the
county level as a transition.
Comment: A few commenters were
supportive of the use of the permanent
5-percent cap to mitigate any adverse
effects of adopting the revised OMB
delineations. MedPAC stated that the
Commission supports having a policy to
cap and phase in the wage index
reductions that a provider can
experience in a given year. Another
commenter thanked CMS for
implementing the 5-percent cap on
wage index decreases as a policy to
combat ongoing wage index inequities.
Response: We appreciate the
commenters support.
Comment: A few commenters
recommended other changes to the
finalized 5-percent cap policy. MedPAC
recommended that the cap should be
applied to both increases and decreases
in a given year. Several commenters
recommended that the cap be lowered
to two percent, while a commenter
suggested the cap should be no more
than three percent. A commenter
requested that CMS institute a one-time
zero wage index adjustment in all
CBSAs where there is a negative
adjustment, while another commenter
recommended that the 5-percent cap
should be implemented in a non-budget
neutral manner.
A commenter stated that the 5-percent
cap is helpful as a general measure to
stabilize wage index values from year to
year, but that does not negate the need
to implement a transition period
specific to wage index changes resulting
from revised CBSA delineations. This
commenter recommended a three-year
transition period to allow for a wage
index transition consistent with prior
updates to the CBSA categorization due
to OMB updates.
Response: We appreciate commenters
recommendations for changes to the
finalized cap policy. However, in the CY
2025 HH PPS proposed rule, we did not
propose to make changes to the
finalized 5-percent cap policy outside of
the proposal to apply the 5-percent cap
at the county level. Therefore, these
comments are outside the scope of the
proposed rule. Any changes to the
finalized cap policy beyond the
proposal to apply the cap at the county
level would need to go through notice
and comment rulemaking. We continue
to believe that a 5-percent cap would
most effectively mitigate any significant
decreases in a geographic area’s wage
index for a calendar year, while still
balancing the importance of ensuring
that area wage index values accurately
reflect relative differences in area wage
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levels. Furthermore, we believe that the
5-percent cap on wage index decreases
provides a degree of predictability in
payment changes for providers and
allows providers time to adjust to any
significant decreases they may face year
to year. Therefore, we do not believe
that any transition is appropriate at this
time.
Comment: A commenter expressed
support for the proposal to apply the 5percent cap at the county level. This
commenter stated that they strongly
believe that the wage index for any
county or service area should not
decrease by more than five percent in
any given year and expressed support
for the proposal that each Transitional
CBSA, in which the included county(s)
would have any reduction to their wage
index limited to five percent from the
previous year, should remain active
until such time that the county(s)
included would be able to be included
in their new CBSA/Service Area when
the reduction to their Wage Index would
be five percent or less.
This commenter also recommended
that CMS provide a crosswalk in CSV or
Excel format of any/all changes any year
in which there are changes such as
these, stating that the crosswalk should
include the Social Security
Administration (SSA) Code, FIPS Code,
CBSA Code (and transition code where
applicable), and the Wage Index (and
transition wage index where applicable)
for every unique County or Service Area
covered under the Medicare program.
Another commenter requested that CMS
carefully plan communication to
impacted facilities so that they are clear
regarding what number to use on home
health claims.
Response: We thank the commenters
for their support. We acknowledge the
importance of providing an accurate
crosswalk for the CY 2025 wage index
that highlights the changes due to the
revised OMB delineations, specifically
in counties that will require a transition
code. Therefore, we are listing the
counties that will require a transition
code in CY 2025 in table 19 and we are
also including this table in the CY 2025
wage index file. The CY 2025 wage
index file provides a crosswalk between
the current OMB delineations and the
final revised OMB delineations that will
be in effect in CY 2025. This file shows
each state and county and its
corresponding final wage index along
with the previous CBSA number, the
final CBSA number or alternate
identification number, and the final
CBSA name. The list of counties that
will require a transition code beginning
in CY 2025 will also be included in the
CY 2025 Home Health Rate Update
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88421
Change Request that can be located at
https://www.cms.gov/medicare/
regulations-guidance/transmittals.
Final Decision: We are finalizing our
proposal to adopt the revised OMB
delineations from OMB Bulletin 23–01,
and will also apply the permanent 5percent cap on wage index decreases at
the county level with the use of a
transition code, so that counties
impacted by the revised designations
will receive a 5-percent cap on any
decrease in a geographic area’s wage
index value from the wage index value
from the prior calendar year for CY
2025. We are also finalizing our
proposal that, beginning in CY 2025,
counties that have a different wage
index value than the CBSA or rural area
into which they are designated due to
the application of the 5-percent cap
(including redesignated counties that
will receive the 5-percent cap and
redesignated counties that move into a
CBSA or rural area where all other
constituent counties receive the 5percent cap) will use a wage index
transition code. These special codes are
five digits in length and begin with
‘‘50.’’ The 50XXX wage index transition
codes will be used only in specific
counties; counties located in CBSAs and
rural areas that do not correspond to a
different transition wage index value
will still use the CBSA number. Finally,
we are finalizing the policy that the 5percent cap will apply to a county that
corresponds to a different wage index
value than the wage index value in the
CBSA or rural area in which they are
designated due to a delineation change
until the county’s new wage index is
more than 95 percent of the wage index
from the previous calendar year. In
order to capture the correct wage index
value, the county will continue to use
the assigned 50XXX transition code
until the county’s wage index value
calculated for that fiscal year using the
new OMB delineations is not less than
95 percent of the county’s capped wage
index from the previous calendar year.
The final wage index file applicable to
CY 2025 provides a crosswalk between
the CY 2025 wage index using the
current OMB delineations and the CY
2025 wage index using the revised OMB
delineations that will be in effect in CY
2025. This file shows each state and
county and its corresponding final wage
index along with the previous CBSA
number, the final CBSA number or
transition code, and the finalized CBSA
name. The final HH PPS wage index file
applicable for CY 2025 (January 1, 2025,
through December 31, 2025) is available
on the CMS website at https://
www.cms.gov/medicare/enrollment-
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renewal/providers-suppliers/homehealth-agency-center.
3. Final CY 2025 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 that 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. Since the inception of the HH
PPS, we have used inpatient hospital
wage data in developing a wage index
to be applied to home health payments.
We proposed to continue this practice
for CY 2025, as it is our belief that, in
the absence of home health-specific
wage data that accounts for area
differences, using inpatient hospital
wage data, including any changes made
by the Office of Management and
Budget (OMB) to Metropolitan
Statistical Area (MSA) definitions, is
appropriate and reasonable for the HH
PPS. The appropriate wage index value
is applied 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).
For CY 2025, we proposed to base the
HH PPS wage index on the FY 2025
hospital pre-floor, pre-reclassified wage
index for hospital cost reporting periods
beginning on or after October 1, 2020,
and before October 1, 2021 (FY 2021
cost report data), with the revised OMB
delineations. The final CY 2025 HH PPS
wage index will not take into account
any geographic reclassification of
hospitals, including those in accordance
with section 1886(d)(8)(B) or
1886(d)(10) of the Act but will include
the 5-percent cap on wage index
decreases.
There exist some geographic areas
where there are no hospitals, and thus,
no hospital wage data on which to base
the calculation of the HH PPS wage
index. To address those geographic
areas in which there are no inpatient
hospitals, and thus, no hospital wage
data on which to base the calculation of
the CY 2025 HH PPS wage index, we
proposed to continue to use the same
methodology discussed in the CY 2007
HH PPS final rule (71 FR 65884) to
address those geographic areas in which
there are no inpatient hospitals.
For urban areas without inpatient
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. For CY 2025, the only
urban area without inpatient hospital
wage data is Hinesville, GA (CBSA
25980). Using the average wage index of
all urban areas in Georgia as a proxy, we
proposed the CY 2025 wage index value
for Hinesville, GA, would be 0.8608.
With updated data, the final wage index
value for Hinesville, GA, will be 0.8824.
For rural areas that do not have
inpatient hospitals, we proposed to use
the average wage index from all
contiguous Core Based Statistical Areas
(CBSAs) as a reasonable proxy. The term
‘‘contiguous’’ means sharing a border
(72 FR 49859). For CY 2025, as part of
our proposal to adopt the revised OMB
delineations discussed further in section
III.E.2. of the CY 2025 HH PPS proposed
rule, we proposed that rural North
Dakota would now become a rural area
without a hospital from which hospital
wage data can be derived. Therefore, in
order to calculate the wage index for
rural area 99935, North Dakota, we
proposed to use as a proxy, the average
pre-floor, pre-reclassified hospital wage
data from the contiguous CBSAs: CBSA
13900-Bismark, ND, CBSA 22020-Fargo,
ND–MN, CBSA 24220-Grand Forks,
ND–MN, and CBSA 33500, Minot, ND,
which resulted in a proposed CY 2025
HH PPS wage index of 0.8334 for rural
North Dakota. For this final rule using
updated data, the final wage index value
for rural North Dakota will be 0.8503
which is the average pre-floor, prereclassified wage index values after the
application of the 5-percent cap of the
four contiguous counties outlined in
table 20.
TABLE 20: CY 2025 WAGE INDEX FOR RURAL NORTH DAKOTA
CBSACode
13900
22020
24220
33500
CY 2025 HH PPS
Wae;e Index
CBSAName
0.8982
Bismarck, ND
Fargo, ND-MN
Grand Forks, ND-MN
Minot, ND
Final CY 2025 HH PPS Wage Index
0.8726
0.7832
0.8470*
0.8503
Previously, the only rural area
without a hospital from which hospital
wage data could be derived was in
Puerto Rico. However, for rural Puerto
Rico, we did not apply this
methodology due to the distinct
economic circumstances that exist there
(for example, due to the proximity of
one another of almost all of Puerto
Rico’s various urban and non-urban
areas, this methodology will produce a
wage index for rural Puerto Rico that is
higher than that in half of its urban
areas). Instead, we used the most recent
wage index previously available for that
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area, which was 0.4047. For CY 2025,
due to our proposal to adopt the revised
OMB delineations discussed previously,
there is now a hospital in rural Puerto
Rico from which hospital wage data can
be derived. Therefore, we proposed that
the wage index for rural Puerto Rico
would now be based on the hospital
wage data for the area instead of the
previously available wage index of
0.4047. The unadjusted CY 2025
proposed wage index for rural Puerto
Rico was 0.2520. However, because
0.2520 is more than a 5 percent decline
in the CY 2024 wage index, the 5-
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percent cap will be applied. We
proposed that the CY 2025 5-percent
cap adjusted wage index for rural Puerto
Rico would be set equal to 95 percent
of the CY 2024 wage index, which
resulted in a proposed wage index value
of 0.3845. For this final rule, using
updated data, the final unadjusted wage
index value for rural Puerto Rico is
0.2510. However, because 0.2510 is
more than a 5 percent decline in the CY
2024 wage index, the 5-percent cap will
be applied. The final CY 2025 5-percent
cap adjusted wage index for rural Puerto
Rico will be set equal to 95 percent of
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the CY 2024 wage index, which results
in a final wage index value of 0.3845.
Finally, due to the proposal to adopt
the revised OMB delineations,
Delaware, which was previously an allurban state, will now have one rural
area with a hospital from which hospital
wage data can be derived. As such, we
proposed that the CY 2025 wage index
for rural Delaware would be 1.0429. The
final wage index for rural Delaware will
be 1.0385.
The following is a summary of the
comments we received on the CY 2025
HH PPS wage index and our responses:
Comment: Most commenters
expressed concern with the updates to
the home health wage index. Several
commenters were particularly opposed
to the wage index updates in rural areas.
A commenter stated that utilizing
hospital wage data to determine the
average labor costs for rural home health
agencies does not adequately reflect the
costs of recruiting and retaining
employees in rural settings. Another
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 in serving
rural areas. This commenter
recommended that the hospital wage
index be adjusted based on population
density.
Response: We appreciate commenters’
concerns regarding the wage index
values assigned to rural areas. As
discussed in the CY 2022 HH PPS final
rule (86 FR 62285), we do not believe
that a population density adjustment is
appropriate at this time. Rural HHAs
continually cite the added cost of
traveling from one patient to the next.
However, urban HHAs cite the added
costs associated with needed security
measures and traffic congestion. The
home health wage index values in rural
areas are not necessarily lower than the
home health wage index values in urban
areas. The home health wage index
reflects the wages that inpatient
hospitals pay in their local geographic
areas. We continue to believe that in the
absence of home health specific data,
the pre-floor, pre-reclassified hospital
wage index is appropriate for the
geographic adjustment of home health
claims.
Comment: Many commenters
recommended far-reaching revisions
and reforms to the HH PPS wage index
methodology. MedPAC recommended
repealing and replacing the existing HH
PPS wage index and phasing in new
wage index systems for hospitals and
other types of providers that uses allemployer, occupation-level wage data
with different occupation weights for
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the wage index of each provider type;
reflects local area level differences in
wages between and within metropolitan
statistical areas and statewide rural
areas; and smooths wage index
differences across adjacent local areas.
Other commenters recommended
discontinuing the use of the pre-floor,
pre-reclassified hospital wage index as
the basis for the HH PPS wage index
and the creation of a home health
specific wage index. Several
commenters recommended allowing
hospital provisions such as the area
wage index policy that addresses the
disparity in payments between rural and
urban acute care hospitals, geographic
reclassification, and an outmigration
adjustment in the HH PPS wage index.
Other commenters recommended that
CMS institute a floor policy in the HH
PPS. A few commenters recommended
that CMS institute a rural floor in the
HH PPS like the rural floor provided to
hospitals. A few commenters
recommended a 0.8000 floor in the HH
PPS wage index similar to the hospice
floor, while other commenters located
in Puerto Rico recommended a floor of
0.6000 in the HH PPS.
Response: We thank the commenters
for their recommendations. However,
any updates to the home health wage
index outside the proposed policies are
outside the scope of the proposed rule.
Changes to the HH PPS wage index
would need to go through notice and
comment rulemaking. Furthermore, we
continue to believe that the regulations
and statutes that govern the HH PPS
differ from the hospital and hospice
regulations and statutes, such that there
would be differences between how these
payment systems apply wage index
policies including geographic
reclassification, outmigration or the
rural floor. Section 4410(a) of the
Balanced Budget Act of 1997 provides
that the area wage index applicable to
any hospital that is located in an urban
area of a state may not be less than the
area wage index applicable to hospitals
located in rural areas in that State. This
rural floor provision is specific to
hospitals. The reclassification provision
at section 1886(d)(10)(C)(i) of the Act
states that the Medicare Geographic
Classification Review Board shall
consider the application of any
subsection (d) hospital requesting the
Secretary change the hospital’s
geographic classification for purposes of
payment under the IPPS. This
reclassification provision is only
applicable to hospitals as defined in
section 1886(d) of the Act. In addition,
we do not believe that using hospital
reclassification data would be
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88423
appropriate as these data are specific to
the requesting hospitals.
Additionally, the application of the
hospice floor is specific to hospices and
does not apply to HHAs. The hospice
floor was developed through a
negotiated rulemaking advisory
committee, under the process
established by the Negotiated
Rulemaking Act of 1990 (Pub. L. 101–
648). Committee members included
representatives of national hospice
associations; rural, urban, large, and
small hospices; multi-site hospices;
consumer groups; and a government
representative. The Committee reached
consensus on a methodology that
resulted in the hospice wage index. We
continue to believe the use of the prefloor and pre- reclassified hospital wage
index results in the most appropriate
adjustment to the labor portion of the
home health payment rates.
Final decision: After consideration of
public comments, we are finalizing our
proposal to use the FY 2025 pre-floor,
pre-reclassified hospital wage index as
the basis for the CY 2025 HH PPS wage
index. The complete final CY 2025 wage
index is available on the CMS website
at https://www.cms.gov/Center/
Provider-Type/Home-Health-AgencyHHA-Center.
4. CY 2025 Home Health Payment
Update
a. Background
The 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 HH PPS
was a national, standardized 60-day
episode payment rate. As finalized in
the CY 2019 HH PPS final rule with
comment period (83 FR 56406), and as
described in the CY 2020 HH PPS final
rule with comment period (84 FR
60478), the unit of home health
payment changed from a 60-day episode
to a 30-day period effective for those 30day periods beginning on or after
January 1, 2020.
As set forth in § 484.220, we adjust
the national, standardized prospective
payment rates by a case-mix relative
weight and a wage index value based on
the site of service for the beneficiary. To
provide appropriate adjustments to the
proportion of the payment amount
under the HH PPS to account for area
wage differences, we apply the
appropriate wage index value to the
labor portion of the HH PPS rates. In the
CY 2024 HH PPS final rule (88 FR
77676), we finalized the rebasing of the
home health market basket to reflect
2021 Medicare cost report data. We also
finalized that for CY 2024 and
E:\FR\FM\07NOR2.SGM
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Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
subsequent years the labor-related share
will be 74.9 percent and the non-laborrelated share will be 25.1 percent. The
following are the steps we take to
compute the case-mix and wageadjusted 30-day period payment amount
for CY 2025:
• Multiply the national, standardized
30-day period rate by the patient’s
applicable case-mix weight.
• Divide the case-mix adjusted
amount into a labor (74.9 percent) and
a non-labor portion (25.1 percent).
• Multiply the labor portion by the
applicable wage index based on the site
of service of the beneficiary.
• Add the wage-adjusted portion to
the non-labor portion, yielding the casemix and wage adjusted 30-day period
payment amount, subject to any
additional applicable adjustments.
We provide annual updates of the HH
PPS rate in accordance with section
1895(b)(3)(B) of the Act. Section 484.225
sets forth the specific annual percentage
update methodology. In accordance
with section 1895(b)(3)(B)(v) of the Act
and § 484.225(i), for an HHA that does
not submit home health quality data, as
specified by the Secretary, the
unadjusted national prospective 30-day
period rate is equal to the rate for the
previous calendar year increased by the
applicable home health payment update
percentage, 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.
The final claim that the HHA submits
for payment determines the total
payment amount for the period and
whether we make an applicable
adjustment to the 30-day case-mix and
wage-adjusted payment amount. The
end date of the 30-day period, as
reported on the claim, determines
which calendar year rates Medicare will
use to pay the claim.
We may adjust a 30-day case-mix and
wage-adjusted payment based on the
information submitted on the claim to
reflect the following:
• A LUPA is provided on a per-visit
basis as set forth in §§ 484.205(d)(1) and
484.230.
• A partial payment adjustment as set
forth in §§ 484.205(d)(2) and 484.235.
• An outlier payment as set forth in
§§ 484.205(d)(3) and 484.240.
b. CY 2025 National, Standardized 30Day Period Payment Amount
Section 1895(b)(3)(A)(i) of the Act
requires that the standard prospective
payment rate and other applicable
amounts be standardized in a manner
that eliminates the effects of variations
in relative case-mix and area wage
adjustments among different home
health agencies in a budget-neutral
manner. To determine the CY 2025
national, standardized 30-day period
payment rate, we will continue our
practice of using the most recent,
complete utilization data at the time of
rulemaking; that is, we are using CY
2023 claims data for CY 2025 payment
rate updates. We apply a permanent
adjustment factor, a case-mix weights
recalibration budget neutrality factor, a
wage index budget neutrality factor, and
the home health payment update
percentage to update the CY 2025
payment rate. As discussed in section
II.C.1. of this final rule, we are finalizing
the implementation of a permanent
adjustment of –1.975 percent to ensure
that payments under the PDGM do not
exceed what payments would have been
under the 153-group payment system as
required by law. The final permanent
adjustment factor is 0.98025. As
discussed previously, to ensure the
changes to the PDGM case-mix weights
are implemented in a budget neutral
manner, we apply a case-mix weight
budget neutrality factor to the CY 2025
national, standardized 30-day period
payment rate. The final case-mix weight
budget neutrality factor for CY 2025 is
1.0039.
Additionally, we apply a wage index
budget neutrality factor to ensure that
wage index updates and revisions are
implemented in a budget neutral
manner. To calculate the wage index
budget neutrality factor, we first
determine the payment rate needed for
non-LUPA 30-day periods using the CY
2025 wage index (with the final revised
delineations and the 5-percent cap) so
those total payments are equivalent to
the total payments for non-LUPA 30-day
periods using the CY 2024 wage index
(with the old delineations and the 5percent cap) and the CY 2024 national
standardized 30-day period payment
rate adjusted by the case-mix weights
recalibration neutrality factor. Then, by
dividing the payment rate for non-LUPA
30-day periods using the CY 2025 wage
index (with the final revised
delineations and a 5-percent cap on
wage index decreases) by the payment
rate for non-LUPA 30-day periods using
the CY 2024 wage index (with the old
delineations and a 5-percent cap on
wage index decreases), we obtain a wage
index budget neutrality factor of 0.9988.
We then apply the wage index budget
neutrality factor of 0.9988 to the 30-day
period payment rate.
Next, we update the 30-day period
payment rate by the final CY 2025 home
health payment update percentage of 2.7
percent. The CY 2025 national
standardized 30-day period payment
rate is calculated in table 21.
CY2024
National
Standardized
30-Day Period
Payment
CY2025
Permanent BA
Adjustment
Factor
$2,038.13
0.98025
The CY 2025 national standardized
30-day period payment rate for an HHA
that does not submit the required
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CY 2025 CaseMix Weights
Recalibration
Neutrality
Factor
1.0039
CY2025
Wage Index
Budget
Neutrality
Factor
CY 2025 Final
HHPayment
Update
CY2025
National,
Standardized 30Day Period
Payment
0.9988
1.027
$2,057.35
quality data is updated by the final CY
2025 home health payment update
percentage of 0.7 percent (2.7 percent
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minus 2 percentage points) and is
shown in table 22.
E:\FR\FM\07NOR2.SGM
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TABLE 21: CY 2025 NATIONAL, STANDARDIZED 30-DAY PERIOD PAYMENT
AMOUNT
Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
88425
TABLE 22: CY 2025 NATIONAL, STANDARDIZED 30-DAY PERIOD PAYMENT
AMOUNT FOR HHAS THAT DO NOT SUBMIT THE QUALITY DATA
CY 2024 National
Standardized 30Day Period
Payment
CY2025
Permanent BA
Adjustment
Factor
CY 2025 CaseMix Weights
Recalibration
Neutrality
Factor
CY2025
Wage Index
Budget
Neutrality
Factor
$2,038.13
0.98025
1.0039
0.9988
c. CY 2025 National Per-Visit Rates for
30-Day Periods of Care
The national per-visit rates are used to
pay LUPAs and are also used to
compute imputed costs in outlier
calculations. The per-visit rates are paid
by type of visit or home health
discipline. 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).
• Speech-language pathology (SLP).
To calculate the final CY 2025
national per-visit rates, we started with
the CY 2024 national per-visit rates.
Then we applied a wage index budget
neutrality factor to ensure budget
neutrality for LUPA per-visit payments.
We calculated the wage index budget
neutrality factor by simulating total
payments for LUPA 30-day periods of
care using the CY 2025 wage index with
the new delineations and the 5-percent
cap on wage index decreases and
comparing it to simulated total
payments for LUPA 30-day periods of
care using the CY 2024 wage index with
the old delineations and the 5-percent
cap. By dividing the total payments for
LUPA 30-day periods of care using the
CY 2025 wage index by the total
payments for LUPA 30-day periods of
care using the CY 2024 wage index, we
obtained a wage index budget neutrality
factor of 0.9989. As a reminder, the
wage index budget neutrality factors for
the national, standardized 30-day period
amount and the national LUPA per-visit
rates are not equal because they are
calculated differently. The wage index
budget neutrality factor for the LUPA
per-visit payments is calculated by
simulating total payments for LUPA 30day periods while the 30-day period
budget neutrality factor is calculated by
simulating payments for non- LUPA 30day periods.
The LUPA per-visit rates are not
calculated using case-mix weights.
CY2025
FinalHH
Payment
Update
Minus 2
Percentage
Points
1.007
CY2025
National,
Standardized
30-Day Period
Payment
$2,017.28
Therefore, no case-mix weight budget
neutrality factor is needed to ensure
budget neutrality for LUPA payments.
Additionally, we are not applying the
permanent adjustment to the per visit
payment rates but only to the case-mix
adjusted 30-day payment rate. Lastly,
the per-visit rates for each discipline are
updated by the final CY 2025 home
health payment update percentage of 2.7
percent. The national per-visit rates are
adjusted by the wage index based on the
site of service of the beneficiary. The
per-visit payments for LUPAs are
separate from the LUPA add-on
payment amount, which is paid for
periods that occur as the only period or
initial period in a sequence of adjacent
periods. The CY 2025 national per-visit
rates for HHAs that submit the required
quality data are updated by the final CY
2025 home health payment update
percentage of 2.7 percent and are shown
in table 23.
lotter on DSK11XQN23PROD with RULES2
HH Discipline
Home Health Aide
Medical Social Services
Occupational Therapy
Physical Therapy
Skilled Nursing
Speech-Language Pathology
$76.23
$269.87
$185.29
$184.03
$168.37
$200.04
The CY 2025 per-visit payment rates
for HHAs that do not submit the
required quality data are updated by the
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CY2025
Wage Index
Budget
Neutrality
Factor
0.9989
0.9989
0.9989
0.9989
0.9989
0.9989
final CY 2025 home health payment
update percentage of 2.7 percent minus
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CY 2025 Final
HHPayment
Update
CY 2025 PerVisit Payment
Amount
1.0270
1.0270
1.0270
1.0270
1.0270
1.0270
$78.20
$276.85
$190.08
$188.79
$172.73
$205.22
2 percentage points and are shown in
table 24.
E:\FR\FM\07NOR2.SGM
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ER07NO24.051
CY2024 PerVisit Payment
Amount
ER07NO24.052
TABLE 23: CY 2025 NATIONAL PER-VISIT PAYMENT AMOUNTS
88426
Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
CY 2024 PerVisit Payment
Amount
HH Discipline
Home Health Aide
Medical Social Services
Occupational Therapy
Physical Therapy
Skilled Nursing
Speech-Language Patholo!.!v
$76.23
$269.87
$185.29
$184.03
$168.37
$200.04
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We did not receive any comments on
the CY 2025 30-day home health
payment rates or the per-visit payment
rates.
Final Decision: We are finalizing the
updates to the CY 2025 national,
standardized 30-day period payment
rates and the CY 2025 national per-visit
payment amounts as proposed, using
the updated market basket amount.
d. LUPA Add-On Factors
As outlined in the CY 2025 HH PPS
proposed rule, prior to the
implementation of the 30-day unit of
payment, LUPA episodes were eligible
for a LUPA add-on payment if the
episode of care was the first or only
episode in a sequence of adjacent
episodes. As described in the CY 2008
HH PPS final rule, the average visit
lengths in these initial LUPAs are 16 to
18 percent higher than the average visit
lengths in initial non-LUPA episodes
(72 FR 49848). LUPA episodes that
occur as the only episode or as an initial
episode in a sequence of adjacent
episodes are adjusted by applying an
additional amount to the LUPA
payment before adjusting for area wage
differences.
In the CY 2014 HH PPS final rule (78
FR 72305), we changed the methodology
for calculating the LUPA add-on
amount, whereby we finalized the
approach of multiplying the per-visit
payment amount for the first skilled
nursing (SN), physical therapy (PT), or
speech language pathology (SLP) visit in
LUPA episodes that occur as the only
episode or an initial episode in a
sequence of adjacent episodes by 1 + the
proportional increase in minutes for an
initial visit over non-initial visits.
Specifically, we updated the analysis
using 100 percent of LUPA episodes and
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CY2025
Wage Index
Budget
Neutrality
Factor
CY 2025 Final
HHPayment
Update Minus
2 Percentage
Points
CY2025 PerVisit Payment
Amount
1.0070
1.0070
1.0070
1.0070
1.0070
1.0070
$76.68
$271.46
$186.38
$185.11
$169.36
$201.22
0.9989
0.9989
0.9989
0.9989
0.9989
0.9989
a 20 percent sample of non-LUPA first
episodes from CY 2012 claims data. At
that time, we finalized add on factors:
1.8451 for SN; 1.6700 for PT; and 1.6266
for SLP. In the CY 2019 HH PPS final
rule with comment period (83 FR
56440), in addition to finalizing a 30day unit of payment, we finalized our
policy of continuing to multiply the pervisit payment amount for the first SN,
PT, or SLP visit in LUPA periods that
occur as the only period of care or the
initial 30-day period of care in a
sequence of adjacent 30-day periods of
care by the appropriate add-on factor
(using the already established LUPA
add-on factors of 1.8451 for SN, 1.6700
for PT, and 1.6266 for SLP) to determine
the LUPA add-on payment amount for
30-day periods of care under the PDGM.
In an effort to enhance the accuracy
and relevance of LUPA add-on factors to
reflect current healthcare practices and
costs, we proposed updates to the LUPA
add-on factors for PT, SN, and SLP,
which have not been revised since the
CY 2014 HH PPS final rule, during
which CY 2012 data was used. We
proposed to use the same methodology
(as specified in the CY 2025 HH PPS
proposed rule) used to establish the
LUPA add-on amount for CY 2014,
using updated claims data.
Specifically, we proposed to update
the LUPA add-on factors by using 100
percent of LUPA periods and a 100
percent sample of non-LUPA first
periods from CY 2023 claims data. In
the CY 2025 HH PPS proposed rule (89
FR 55377), using the CY 2023 data
available at that time, the proposed
updates to the factors were 1.7227 for
SN; 1.6247 for PT; and 1.6703 for SLP.
We stated that the proposed LUPA addon factors will be updated based on
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more complete CY 2023 claims data in
the final rule. The updated analysis (as
of September 11, 2024) demonstrates
that the average excess of minutes for
the first visit in LUPA periods that were
the only period or an initial LUPA in a
sequence of adjacent periods are 29.91
minutes for the first visit if SN, 28.08
minutes for the first visit if PT, and
31.57 minutes for the first visit if SLP.
The average minutes for all non-first
visits in non-LUPA episodes are 41.54
minutes for SN, 45.11 minutes for PT,
and 47.15 minutes for SLP. To
determine the LUPA add-on factors for
each discipline in relation to the final
LUPA add-on factor updates, we
calculate the ratio of the average excess
minutes for the first visits in LUPA
claims to the average minutes for all
non-first visits in non-LUPA claims. We
then add one to these ratios to obtain
the final add on factors: 1.7200 for SN;
1.6225 for PT; and 1.6696 for SLP. We
solicited comments on the proposals to
update the LUPA factors using the CY
2014 methodology and the re-priced
LUPA payment amounts. A summary of
these comments and our responses are
as follows:
Comment: All commenters expressed
support for updates to the LUPA add-on
factors for skilled nursing, physical
therapy and speech language pathology
using CY 2023 utilization data using the
CY 2014 HH PPS methodology.
Specifically, commenters expressed
appreciation that CMS still recognizes
LUPA per visit payments.
Response: We thank the commenters
for their support.
Comment: A commenter expressed
support for CMS’ efforts to adjust the
LUPA add-on factor but noted that the
adjustments remain minimal and are not
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TABLE 24: CY 2025 NATIONAL PER-VISIT PAYMENT AMOUNTS FOR HHAS
THAT DO NOT SUBMIT THE REQUIRED QUALITY DATA
Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
adequately aligned with inflationary
trends.
Response: We thank the commenter
for their comment. The LUPA add-on
factors were adjusted in a budget neutral
manner, as statutorily required in
section 1895(b)(3)(A)(i) of the Act, so
that aggregate payments do not increase
or decrease.
Final Decision: We are finalizing the
proposal to update the SN, PT, and SLP
LUPA add-on factors. The final LUPA
add-on factors are 1.7200 for skilled
nursing, 1.6225 for physical therapy,
and 1.6696 for speech-language
pathology.
e. Occupational Therapy LUPA Add-On
Factor
As outlined in the CY 2025 HH PPS
proposed rule, in order to implement
Division CC, section 115, of the
Consolidation Appropriations Act
(CAA), 2021, CMS finalized changes to
the regulations at § 484.55(a)(2) and
(b)(3) that allowed occupational
therapists to conduct initial and
comprehensive assessments for all
Medicare beneficiaries under the home
health benefit when the plan of care
does not initially include skilled
nursing care, but included OT, as well
as either PT or SLP (86 FR 62351). This
change necessitated the establishment of
a LUPA add-on factor for calculating the
LUPA add-on payment amount for the
first skilled OT visit in LUPA periods
that occurs as the only period of care or
the initial 30-day period of care in a
sequence of adjacent 30-day periods of
care. However, at the time of the
implementation, as we stated in the CY
2022 HH PPS final rule (86 FR 62289),
there was not sufficient data regarding
the average excess of minutes for the
first visit in LUPA periods when the
initial and comprehensive assessments
are conducted by occupational
therapists. Therefore, we finalized a
policy using the PT LUPA add-on factor
as a proxy. We also stated in the CY
2022 final rule that we will use the PT
LUPA add-on factor as a proxy until we
have CY 2022 data to establish a more
accurate OT add-on factor for the LUPA
add-on payment amounts (86 FR 62289).
Ultimately, we refrained from using CY
2022 data (and instead utilized the PT
LUPA add-on factor as a proxy for the
OT LUPA add-on factor), as we marked
the first year that occupational
therapists were permitted to conduct the
initial assessment. Therefore, we
wanted to extend our analysis to ensure
we had sufficient data to reflect OT time
spent conducting initial assessments to
establish a discrete OT LUPA add-on
factor (86 FR 62240). Accordingly, we
continued analyzing claims data and
have opted to utilize CY 2023 data to
make the proposal.
With sufficient recent claims data
available, and to establish equitable
compensation for all home health
services, CMS proposed to establish a
definitive OT-specific LUPA add-on
factor and discontinue the temporary
use of the PT LUPA add-on factor as a
proxy. For the proposal, we used the
same methodology used to establish the
LUPA add-on amount for CY 2014, as
also described previously for the SN, PT
and SLP add-on factors. Specifically, we
updated the analysis using 100 percent
of LUPA periods and a 100 percent
sample of non-LUPA first periods from
CY 2023 claims data. The originally
proposed analysis showed that the
average excess of minutes for the first
OT visit in LUPA periods that were the
88427
only period or an initial LUPA in a
sequence of adjacent periods as 33.40
minutes for the first visit and the
average number of minutes for all nonfirst visits in non-LUPA periods as 45.97
minutes for OT. However, the proposal
was made using the most current and
complete data available at the time of
rulemaking. We stated that we believe
that LUPA add-on factors will be
updated based on more complete CY
2023 claims data in the final rule. In
doing so, the updated analysis (as of
September 11, 2024) shows that the
average excess of minutes for the first
OT visit in LUPA periods that were the
only period or an initial LUPA in a
sequence of adjacent periods is 33.28
minutes for the first visit. The average
number of minutes for all non-first visits
in non-LUPA periods is 45.98 minutes
for OT.
To determine the LUPA add-on
factors for OT to adequately adjust
LUPA payments to account for the
excess minutes during the first visit in
a LUPA period, we proposed to
calculate the ratio of the average excess
minutes for the first visits in LUPA
claims to the average minutes for all
non-first visits in non-LUPA claims. We
proposed to then add one to this ratio
to obtain the proposed add on factor:
1.7238 for OT.
The following table 25 shows, for all
disciplines, the average excess minutes
for the first visit in LUPA periods, the
average minutes for all non-first visits in
non-LUPA episodes, as well as the
current LUPA add-on factors, the final
LUPA add-on factors (using updated CY
2023 claims data), and the percent
change between the current and the
final LUPA add-on factors.
Discipline
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SN
PT
SLP
OT
Current
LlJPA
Add-on
Factors
1.8451
1.6700
1.6266
1.6700
Final LU PA Add-on
Factors Using Data
from CY2023
Percent Change from
Old to Ne,,
A, erage Excess of
Minutes for the First
Visit in LlJPA Periods
A, erage Minutes for All
Non-First Visits in NonLUPA Episodes
1.7200
1.6225
1.6696
1.7238
-6.8%
-2.8%
+2.6%
+3.2%
29.91
28.08
31.57
33.28
41.54
45.11
47.15
45.98
We solicited comments on the
proposed establishment of a definitive
OT LUPA add-on factor, use of CY 2023
data to determine the OT LUPA add-on
factor, as well as the proposed
methodology to determine this OT
LUPA add-on factor. A summary of
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19:11 Nov 06, 2024
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these comments and our responses are
as follows:
Comment: All commenters expressed
support for establishment of the
definitive LUPA add-on factor for
occupational therapy using CY 2023
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Sfmt 4700
utilization data and the CY 2014 HH
PPS methodology.
Response: We thank the commenters
for their support.
Comment: A commenter expressed
appreciation for CMS’ recognition of the
unique needs of OT services through the
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TABLE 25: CURRENT AND FINAL LUPA ADD-ON FACTORS FOR ALL
DISCIPLINES
88428
Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
establishment of a distinct OT LUPA
add-on factor. However, they voiced
concern that the current add-on factor
does not fully address the challenges
faced by occupational therapists,
particularly in light of payment rate
reductions. As such, the commenter
recommended that CMS continuously
evaluate and adjust the OT add-on
factor.
Response: We thank the commenter
for their comment. However, the
payment rate adjustment was made to
the 30-day base payment rate and the
OT LUPA add-on factor was established
in a budget neutral manner, as
statutorily required in section
1895(b)(3)(A)(i) of the Act. We will
update the LUPA add-on factors as
necessary in accordance with applicable
regulations.
Comment: Many commenters raised
concerns regarding proposed payment
rate reductions specific to occupational
therapy services, specifically stating that
proposed payment cuts to occupational
therapy could significantly reduce
access to essential occupational therapy
services for Medicare beneficiaries
receiving care at home.
Response: We appreciate the
commenters’ concern. It appears that
many commenters conflated the OT
LUPA add-on factor proposal with the
proposed permanent adjustment to the
national, standardized 30-day payment
rate. To clarify, in the CY 2025 HH PPS
proposed rule (89 FR 55377) we did not
propose any OT-specific payment rate
cuts. In fact, with the proposal to
establish a definitive OT LUPA add-on
factor and discontinue the use of the PT
LUPA add-on factor as a proxy, the addon factor for OT services has increased
by 3.2 percent.
Final Decision: We are finalizing the
proposal to discontinue use of the PT
LUPA add-on factor as a proxy and
establish the definitive LUPA add-on
factor for occupational therapy to be
used in calculating the LUPA add-on
payment amounts. The OT LUPA factor
is 1.7238 when occupational therapy is
the first skilled visit in a LUPA period
that occurs as the only period or an
initial period in a sequence of adjacent
periods.
f. Payments for High-Cost Outliers
Under the HH PPS
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(1) Background
Section 1895(b)(5) of the Act allows
for the provision of an addition or
adjustment to the home health payment
amount otherwise made in the case of
outliers because of unusual variations in
the type or amount of medically
necessary care. Under the HH PPS and
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the previous unit of payment (that is,
60-day episodes), outlier payments were
made for 60-day episodes whose
estimated costs exceed a threshold
amount for each HHRG. The episode’s
estimated cost was established as the
sum of the national wage-adjusted per
visit payment amounts delivered during
the episode. The outlier threshold for
each case-mix group or PEP adjustment
defined as the 60-day episode payment
or PEP adjustment for that group plus a
fixed-dollar loss (FDL) amount. For the
purposes of the HH PPS, the FDL
amount is calculated by multiplying the
home health FDL ratio by a case’s wageadjusted national, standardized 60-day
episode payment rate, which yields an
FDL dollar amount for the case. The
outlier threshold amount is the sum of
the wage and case-mix adjusted PPS
episode amount and wage-adjusted FDL
amount. The outlier payment is defined
to be a proportion of the wage-adjusted
estimated cost that surpasses the wageadjusted threshold. The proportion of
additional costs over the outlier
threshold amount paid as outlier
payments is referred to as the losssharing ratio.
As we noted in the CY 2011 HH PPS
final rule (75 FR 70397 through 70399),
section 3131(b)(1) of the Affordable Care
Act amended section 1895(b)(3)(C) of
the Act to require that the Secretary
reduce the HH PPS payment rates such
that aggregate HH PPS payments were
reduced by 5 percent. In addition,
section 3131(b)(2) of the Affordable Care
Act amended section 1895(b)(5) of the
Act by redesignating the existing
language as section 1895(b)(5)(A) of the
Act and revised the language to state
that the total amount of the additional
payments or payment adjustments for
outlier episodes could not exceed 2.5
percent of the estimated total HH PPS
payments for that year. Section
3131(b)(2)(C) of the Affordable Care Act
also added section 1895(b)(5)(B) of the
Act, which capped outlier payments as
a percent of total payments for each
HHA for each year at 10 percent.
As such, beginning in CY 2011, we
reduced payment rates by 5 percent and
targeted up to 2.5 percent of total
estimated HH PPS payments to be paid
as outliers. To do so, we first returned
the 2.5 percent held for the target CY
2010 outlier pool to the national,
standardized 60-day episode rates, the
national per visit rates, the LUPA addon payment amount, and the NRS
conversion factor for CY 2010. We then
reduced the rates by 5 percent as
required by section 1895(b)(3)(C) of the
Act, as amended by section 3131(b)(1) of
the Affordable Care Act. For CY 2011
and subsequent calendar years we
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targeted up to 2.5 percent of estimated
total payments to be paid as outlier
payments, and apply a 10-percent
agency-level outlier cap.
In the CY 2017 HH PPS proposed and
final rules (81 FR 43737 through 43742
and 81 FR 76702), we described our
concerns regarding patterns observed in
home health outlier episodes.
Specifically, we noted the methodology
for calculating home health outlier
payments may have created a financial
incentive for providers to increase the
number of visits during an episode of
care in order to surpass the outlier
threshold; and simultaneously created a
disincentive for providers to treat
medically complex beneficiaries who
require fewer but longer visits. Given
these concerns, in the CY 2017 HH PPS
final rule (81 FR 76702), we finalized
changes to the methodology used to
calculate outlier payments, using a costper-unit approach rather than a cost-pervisit approach. This change in
methodology allows for more accurate
payment for outlier episodes,
accounting for both the number of visits
during an episode of care and the length
of the visits provided. Using this
approach, we now convert the national
per-visit rates into per 15-minute unit
rates. These per 15-minute unit rates are
used to calculate the estimated cost of
an episode to determine whether the
claim will receive an outlier payment
and the amount of payment for an
episode of care. In conjunction with our
finalized policy to change to a cost-perunit approach to estimate episode costs
and determine whether an outlier
episode should receive outlier
payments, in the CY 2017 HH PPS final
rule we also finalized the
implementation of a cap on the amount
of time per day that will be counted
toward the estimation of an episode’s
costs for outlier calculation purposes
(81 FR 76725). Specifically, we limit the
amount of time per day (summed across
the six disciplines of care) to 8 hours (32
units) per day when estimating the cost
of an episode for outlier calculation
purposes.
In the CY 2017 HH PPS final rule (81
FR 76724), we stated that we did not
plan to re-estimate the average minutes
per visit by discipline every year.
Additionally, the per unit rates used to
estimate an episode’s cost were updated
by the home health update percentage
each year, meaning we will start with
the national per visit amounts for the
same calendar year when calculating the
cost-per-unit used to determine the cost
of an episode of care (81 FR 76727). We
will continue to monitor the visit length
by discipline as more recent data
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becomes available and may propose to
update the rates as needed in the future.
In the CY 2019 HH PPS final rule with
comment period (83 FR 56521), we
finalized a policy to maintain the
current methodology for payment of
high-cost outliers upon implementation
of PDGM beginning in CY 2020 and
calculated payment for high-cost
outliers based upon 30-day period of
care. Upon implementation of the
PDGM and 30-day unit of payment, we
finalized the FDL ratio of 0.56 for 30day periods of care in CY 2020. Given
that CY 2020 was the first year of the
PDGM and the change to a 30-day unit
of payment, we finalized maintaining
the same FDL ratio of 0.56 in CY 2021
as we did not have sufficient CY 2020
data at the time of CY 2021 rulemaking
to propose a change to the FDL ratio for
CY 2021. In the CY 2022 HH PPS final
rule with comment period (86 FR
62292), we estimated that outlier
payments will be approximately 1.8
percent of total HH PPS final rule
payments if we maintained an FDL of
0.56 in CY 2022. Therefore, in order to
pay up to, but no more than, 2.5 percent
of total payments as outlier payments
we finalized an FDL of 0.40 for CY 2022.
In the CY 2023 HH PPS final rule (87
FR 66875), using CY 2021 claims
utilization data, we finalized an FDL of
0.35 in order to pay up to, but no more
than, 2.5 percent of the total payment as
outlier payments in CY 2023. In the CY
2024 HH PPS final rule (88 FR 77749),
using CY 2022 claims utilization data,
we finalized an FDL of 0.27 for CY 2024.
(2) FDL Ratio for CY 2025
For a given level of outlier payments,
there is a trade-off between the values
selected for the FDL ratio and the losssharing ratio. A high FDL ratio reduces
the number of periods that can receive
outlier payments but makes it possible
to select a higher loss-sharing ratio, and
therefore, increase outlier payments for
qualifying outlier periods. Alternatively,
a lower FDL ratio means that more
periods can qualify for outlier
payments, but outlier payments per
period must be lower.
The FDL ratio and the loss-sharing
ratio are selected so that the estimated
total outlier payments do not exceed the
2.5 percent aggregate level (as required
by section 1895(b)(5)(A) of the Act).
Historically, we have used a value of
0.80 for the loss-sharing ratio, which,
we believe, preserves incentives for
agencies to attempt to provide care
efficiently for outlier cases. With a losssharing ratio of 0.80, Medicare pays 80
percent of the additional estimated costs
that exceed the outlier threshold
amount. Using CY 2023 claims data (as
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of March 19, 2024) and given the
statutory requirement that total outlier
payments do not exceed 2.5 percent of
the total payments estimated to be made
under the HH PPS, we proposed an FDL
ratio of 0.38 for CY 2025 which is higher
than the finalized CY 2024 FDL of 0.27.
We stated that we would update the
FDL, if needed, in the final rule once we
have more complete CY 2023 claims
data. Therefore, using updated CY 2023
claims data as of (July 11, 2024) the final
FDL ratio for CY 2025 is 0.35.
A summary of the comments we
received on the proposed FDL ratio
appears as follows.
Comment: A commenter opposed the
estimated 0.6 percent decrease to home
health payments which is the result of
increasing the fixed-dollar loss ratio for
outlier payments in CY 2025. The
commenter stated that that the 0.6
percent decrease should be eliminated
as there is not adequate data to surmise
that the cut is justified.
Response: We thank the commenter
for their comment. However, we
disagree with the claim that there is not
adequate data to justify the 0.6 percent
decrease. We are statutorily required to
ensure that total outlier payments do
not exceed the 2.5 percent aggregate
level (as required by section
1895(b)(5)(A) of the Act). In the CY 2019
HH PPS final rule with comment period
(83 FR 56521), we finalized a policy to
maintain the current methodology for
payment of high-cost outliers upon
implementation of the PDGM beginning
in CY 2020 and calculated payment for
high-cost outliers based upon 30-day
periods of care. We have used the most
recent claims data to calculate the FDL
ratio since that time. In the CY 2025 HH
PPS proposed rule, we stated that we
would use the most recent claims data
available which is CY 2023 claims data.
Using CY 2023 claims data, we found
that the FDL ratio would need to be
increased from the final CY 2024 FDL of
0.27 to the proposed CY 2025 ratio of
0.38. A higher FDL ratio reduces the
number of periods that can receive
outlier payments, and as a result there
is a slight decrease to total payments.
Based on more complete CY 2023
claims data as of (July 11, 2024) the final
CY 2025 FDL ratio has been adjusted to
0.35 which results in a 0.4 percent
decrease in total payments.
Final Decision: We are finalizing the
CY 2025 FDL ratio of 0.35, using
updated CY 2023 claims data as of July
11, 2024.
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88429
F. Annual Rate Update for Disposable
Negative Pressure Wound Therapy
(dNPWT) Device
1. Background
Negative pressure wound therapy
(NPWT) is a medical procedure in
which a vacuum dressing is used to
enhance and promote healing in acute,
chronic, and burn wounds. The therapy
involves using a sealed wound dressing
attached to a pump to create a negative
pressure environment in the wound.
The therapy can be administered using
the conventional NPWT system,
classified as durable medical equipment
(DME), or can be administered using a
disposable device. A disposable NPWT
(dNPWT) device is a single-use
integrated system that consists of a nonmanual vacuum pump, a receptacle for
collecting exudate, and wound
dressings. Unlike conventional NPWT
systems classified as DME, dNPWT
devices have preset continuous negative
pressure, no intermittent setting, are
pocket-sized and easily transportable,
and are generally battery-operated with
disposable batteries. In order for a
beneficiary to receive dNPWT under the
home health benefit, the beneficiary
must qualify for the home health benefit
in accordance with existing eligibility
requirements.
2. Payment Policies for dNPWT Devices
Prior to CY 2024, the separate
payment amount for dNPWT included
the furnishing of services as well as the
dNPWT device. The separate payment
amount was set equal to the amount of
the payment that will be made under
the Medicare Hospital Outpatient
Prospective Payment System (OPPS)
using the CPT codes 97607 and 97608.
Payment for visits where the sole
purpose of a home health visit was to
furnish dNPWT was not made under the
HH PPS. Therefore, visits performed
solely for the purpose of furnishing a
new dNPWT device were not reported
on the HH PPS claim (type of bill (TOB)
32x), instead HHAs submitted these
claims on a TOB 34x. However, if a
home health visit included the
provision of other home health services
in addition to, and separate from,
furnishing dNPWT, the HHA submitted
both a TOB 32x and TOB 34x—the TOB
32x for other home health services and
the TOB 34x for furnishing NPWT using
a disposable device.
Beginning in CY 2024, Division FF,
section 4136 of the CAA, 2023 (Pub. L.
117–328) amended section 1834 of the
Act (42 U.S.C. 1395m(s)) and mandated
several amendments to the Medicare
separate payment for dNPWT. These
changes included—
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• For CY 2024, the separate payment
amount for an applicable dNPWT
device was set equal to the supply price
used to determine the relative value for
the service under the Physician Fee
Schedule (PFS) under section 1848 as of
January 1, 2022 (CY 2022), updated by
the percent increase in the CPI–U for the
12-month period ending with June of
the preceding year reduced by m the
productivity adjustment described in
section 1886(b)(3)(B)(xi)(II) of the Act
for such year;
• For 2025 and each subsequent year,
the separate payment amount was to be
set equal to the payment amount
established for the device in the
previous year, updated by the percent
increase in the CPI–U for the 12-month
period ending with June of the
preceding year reduced by the
productivity adjustment described in
section 1886(b)(3)(B)(xi)(II) for such
year.
• The separate payment amount for
applicable devices furnished on or after
January 1, 2024, will no longer include
payment for nursing or therapy services
described in section 1861(m) of the Act
so that payment for such nursing or
therapy services are now made under
the HH PPS, and is no longer separately
billable.
• Claims for the separate payment
amount of an applicable dNPWT device
are now accepted and processed on
claims submitted using the type of bill
(TOB) 32X.
In the CY 2024 HH PPS final rule (88
FR 77676), we finalized our proposal to
codify these changes to dNPWT
payments mandated by the CAA, 2023.
Beginning January 1, 2024, the separate
payment for a dNPWT device is made
to an HHA for an individual who is
under a home health plan of care using
Healthcare Common Procedure Coding
System (HCPCS) code A9272. The code
HCPCS A9272 is defined as a wound
suction, disposable, includes dressing,
all accessories and components, any
type, each. The HHA reports the HCPCS
code A9272 for the device only on the
home health TOB 32X. The services
related to the application of the device
are included in the home health
payment and are excluded from the
separate payment amount for the device.
The CY 2024 single payment amount for
a dNPWT device for individuals under
a home health plan of care was set equal
to $270.09, which equaled the supply
price of an applicable device under the
Medicare PFS (as of January 1, 2022) of
$263.25 updated by the 2.6 percent
increase in the CPI–U for the 12-month
period ending in June of 2023, minus
the productivity adjustment.
3. CY 2025 Separate Payment Amount
for a dNPWT Device
For CY 2025, we proposed that the
separate payment amount for a dNPWT
device would be set equal to the CY
2024 payment amount of $270.09
updated by the CPI–U for June 2024,
minus the productivity adjustment, as
mandated by the CAA, 2023. The
application of the productivity
adjustment may result in a net update
that may be less than 0.0 for a year and
may result in the separate payment
amount for an applicable device for a
year being less than such separate
payment amount for such device for the
preceding year. We noted that the CPI–
U for the 12-month period ending in
June of 2024 was not available at the
time of the proposed rulemaking and
stated that the CY 2025 payment
amount, as well as the CPI–U for the 12month period ending in June of 2024,
and the corresponding productivity
adjustment would be updated in the
final rule.
For this final rule, the CPI–U for the
12-month period ending in June of 2024
is 3.0 percent and the corresponding
productivity adjustment is 0.6 percent
based on IHS Global Inc.’s third-quarter
2024 forecast of the CY 2025
productivity adjustment (which reflects
the 10-year moving average of changes
in annual economy-wide private
nonfarm business TFP for the period
ending June 30, 2024) Therefore, the
final update percentage will be 2.4
percent (3.0 percent reduced by 0.6
percentage point). The final CY 2025
separate payment amount for a dNPWT
device will be $276.57, which reflects
the CY 2024 payment amount of
$270.09 updated by the final update
percentage of 2.4 percent.
The following is a summary of the
public comments and our responses
regarding the payment update for the
dNPWT device.
Comment: A commenter
recommended that stakeholders be
given the opportunity to comment on
the final payment amount for dNPWT in
the event there is an issue in the
calculation of the rate.
Response: We thank the commenter
for their recommendation. However, we
stated in the proposed rule that the CPI–
U and productivity adjustment were not
available in time for the publication of
the proposed rule and the rate would be
published in the final rule. Although the
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final rate was not available at the time
of the proposed rule, in the CY 2025 HH
PPS final rule (89 FR 77751), we
finalized the policy of setting the
separate payment of a dNPWT device
equal to the payment amount
established for the device in the
previous year, updated by the
percentage increase in the CPI–U
reduced by the productivity adjustment
for the 12-month period ending in June
of the previous year. The CY 2025 final
rule simply updates the dNPWT device
separate payment amount using this
finalized policy. As such, we believe
there was adequate opportunity for
commenters to provide feedback on the
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calculation of the final CY 2025 rate. If
we are alerted to an issue in the
calculation of this final rate after
publication of this final rule, we would
issue a correction notice if necessary.
Comment: A commenter stated that
while they recognize that changes to the
dNPWT device separate payment
amount were required by statute, they
believe that the payment approach for
dNPWT devices is confusing and adds
another level of burden for HHAs. This
commenter recommended that dNPWT
be removed from the HH PPS payment
structure entirely and be independently
paid through the durable medical
equipment (DME) benefit. The
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CY 2025 Disposable Negative Pressure Wound Therapy Rate (dNPWT)
CY2025 dNPWT Payment Update
CY2024 dNPWT
(12-month CPI-U ending in
CY2025 dNPWT
June 2024 (3.0%) Reduced by
Payment Rate
Payment Rate
Productivity Adjustment (0.6%))
$270.09
1.024
$276.57
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commenter suggested that making this
change would help ensure that
Medicare beneficiaries receive
appropriate wound care, and providers
receive fair and equitable payment for
supplies and related services.
Response: We appreciate the
commenter’s recommendation.
However, this comment is outside the
scope of the proposed rule. We are
statutorily required to process claims for
the separate payment amount of an
applicable dNPWT device on claims
submitted using the type of bill (TOB)
32X, and the payment rate for dNPWT
under the home health benefit is
described in statute. Furthermore,
dNPWT devices are disposable, thus
would not be eligible for payment under
the DME benefit. Therefore, the separate
payment amount for dNPWT devices
will continue to be reported on the
home health TOB 32X using HCPCS
code A9272 (for the device only). As a
reminder, the services related to the
application of the device are included in
the home health payment and are
excluded from the separate payment
amount for the device.
Final Decision: We are finalizing the
CY 2025 separate payment amount for
the dNPWT device under a home health
plan of care of $276.57, which is equal
to CY 2024 rate of $270.09 updated by
the final update percentage of 2.4
percent. For CY 2026 and subsequent
years, if CMS does not intend to propose
changes to its established methodology
for calculating dNPWT payments,
payment rates will be updated using
CMS’s established methodology via the
Home Health Prospective Payment
System Rate Update Change Request
and posted on the HHA Center website
at https://www.cms.gov/medicare/
enrollment-renewal/providers-suppliers/
home-health-agency-center. For more
in-depth information regarding the
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finalized policies associated with the
scope of the payment for dNPWT and
conditions for payment, we refer readers
to the CY 2024 HH PPS final rule (88 FR
77749 through 77752).
III. Home Health Quality Reporting
Program (HH QRP)
A. Background and Statutory Authority
The HH QRP is authorized by section
1895(b)(3)(B)(v) of the Act. Section
1895(b)(3)(B)(v)(II) of the Act requires
that, for 2007 and subsequent years,
each home health agency (HHA) submit
to the Secretary in a form and manner,
and at a time, specified by the Secretary,
such data that the Secretary determines
are appropriate for the measurement of
health care quality. To the extent that an
HHA does not submit data in
accordance with this clause, the
Secretary shall reduce the home health
market basket percentage increase
applicable to the HHA for such year by
2 percentage points. As provided at
section 1895(b)(3)(B)(vi) of the Act,
depending on the market basket
percentage increase applicable for a
particular year, as further reduced by
the productivity adjustment (except in
2018 and 2020) described in section
1886(b)(3)(B)(xi)(II) of the Act, the
reduction of that increase by 2
percentage points for failure to comply
with the requirements of the HH QRP
may result in the home health market
basket percentage increase being less
than 0.0 percent for a year, and may
result in payment rates under the Home
Health PPS for a year being less than
payment rates for the preceding year.
Section 1890A of the Act requires that
the Secretary establish and follow a prerulemaking process, in coordination
with the consensus-based entity (CBE)
with a contract under section 1890 of
the Act, to solicit input from certain
groups regarding the selection of quality
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88431
and efficiency measures for the HH
QRP. The HH QRP regulations can be
found at 42 CFR 484.245 and 484.250.
Based on feedback from patients and
stakeholders, CMS has launched an
effort to update and shorten the Home
Health Consumer Assessment of
Healthcare Providers and Systems
(HHCAHPS) survey. In 2022, CMS
tested a shortened survey across a
variety of different types of HHAs. We
reviewed the findings of the field test
and plan to finalize in the future
updates to the survey with the intent to
shorten it. Potential updated HHCAHPS
measures have been submitted through
the Pre-rulemaking Review Process.
B. Summary of the Provision of this
Final Rule
In this final rule, we are finalizing the
proposal to add four new assessment
items and modify one assessment item
on the OASIS. Second, we are finalizing
an update to the removal of the
suspension of OASIS all-payer data
collection. Third, we sought information
on future HH QRP quality measure
concepts. These proposals are further
specified in the following sections.
For a detailed discussion of the
considerations, we historically use for
measure selection for the HH QRP
quality, resource use, and other
measures, we refer readers to the CY
2016 HH PPS final rule (80 FR 68695
through 68696). In the CY 2019 HH PPS
final rule with comment period (83 FR
56548 through 56550), we finalized the
factors we consider for removing
previously adopted HH QRP measures.
C. Quality Measures Currently Adopted
for the CY 2024 HH QRP
The HH QRP currently includes 19
measures for the CY 2024 program year,
as described in table 26.
BILLING CODE 4120–01–P
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QM Name
Ambulation
PO 00000
Application of Functional Assessment
Bathing
Bed Transferring
Patient COVID-19 Vaccination
DRR
DC Function
Dvspnea
Influenza
Oral Medications
Pressure Ulcer/Iniurv
Timelv Care
TOH-Provider
TOH-Patient
QM Name
DTC
MSPB
PPR
PPH
QM Name
CARPS Home Health Survey
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2
ER07NO24.056
OASIS-based
Improvement in Ambulation/Locomotion (CBE #0167).
Application of Percent of Long-Term Care Hospital (LTCH) Patients with an Admission and Discharge Functional
Assessment and a Care Plan That Addresses Function (CBE #2631). 2
Imorovement in Bathing (CBE #0174).
Imorovement in Bed Transferring ( CBE # 017 5).
COVID-19 Vaccine: Percent of Patients/Residents Who Are Up to Date
Drug Regimen Review Conducted With Follow-Up for Identified Issues- Post Acute Care (PAC) HH ORP.
Discharge Function Score
Improvement in Dvspnea.
Influenza Immunization Received for Current Flu Season
Improvement in Management of Oral Medications (CBE #017 6).
Changes in Skin Integrity Post-Acute Care
Timelv Initiation of Care (CBE #0526).
Transfer of Health Information to Provider-Post-Acute Care'
Transfer of Health Information to Patient-Post-Acute Care'
Claims-based
Discharge to Community-Post Acute Care (PAC) Home Health (HH) Quality Reporting Program (QRP) (CBE #3477)
Total Estimated Medicare Spending Per Beneficiarv (MSPB}-Post Acute Care (PAC) HH ORP.
Potentially Preventable 30-Day Post-Discharge Readmission Measure for HH Quality Reporting Program.
Home Health Within Stay Potentially Preventable Hospitalization
HHCAHPS-based
CARPS® Home Health Care Survey (experience with care) (CBE #0517) 2
- How often the HH team gave care in a professional way.
- How well did the HH team communicate with patients.
- Did the HH team discuss medicines, pain, and home safety with patients.
- How do patients rate the overall care from the HHA.
- Will patients recommend the HHA to friends and family.
collection delayed due to the COVID-19 public health emergency for the TOH-Patient and TOH-Provider.
The HHCAHPS has five components that together are used to represent one CHE-endorsed measure.
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TABLE 26: MEASURES CURRENTLY ADOPTED FOR THE CY 2024 HH QRP
Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
BILLING CODE 4120–01–C
D. Proposal To Collect Four New Items
as Standardized Patient Assessment
Data Elements and Modify One Item
Collected as a Standardized Patient
Assessment Data Element Beginning
With the CY 2027 HH QRP
In this final rule, we have added four
new items 12 to be collected as
standardized patient assessment data
elements under the social determinants
of health (SDOH) category HH QRP:
Living Situation (one item); Food (two
items); and Utilities (one item). We
modified the current ‘‘Transportation’’
item collected as standardized patient
assessment data under the SDOH
category as described in section III.D.5.
of this final rule.
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1. Definition of Standardized Patient
Assessment Data
Section 1895(b)(3)(B)(v) of the Act
requires that for CY 2007 and
subsequent years, HHAs submit quality
data to the Secretary. Section
1899B(a)(1)(C) of the Act requires, in
part, the Secretary to modify the postacute care (PAC) assessment
instruments for PAC providers,
including HHAs, to submit standardized
patient assessment data under the
Medicare program. Section
1899B(b)(1)(A) of the Act requires PAC
providers to submit standardized
patient assessment data under
applicable reporting provisions (which,
for HHAs, is the HH QRP) for the
admission (start and resumption of care)
and discharge of an individual (and
more frequently as the Secretary deems
appropriate). Section 1899B(b)(1)(B) of
the Act defines standardized patient
assessment data as data required for at
least the quality measures described in
section 1899B(c)(1) of the Act and that
is concerning the following categories:
(i) functional status, such as mobility
and self-care at admission to a PAC
provider and before discharge from a
PAC provider; (ii) cognitive function,
such as ability to express ideas and to
understand, and mental status, such as
depression and dementia; (iii) special
services, treatments, and interventions,
such as need for ventilator use, dialysis,
chemotherapy, central line placement,
and total parenteral nutrition; (iv)
medical conditions and comorbidities,
such as diabetes, congestive heart
failure, and pressure ulcers; (v)
impairments, such as incontinence and
an impaired ability to hear, see, or
swallow; and (vi) other categories
12 Items may also be referred to as ‘‘data
elements.’’
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deemed necessary and appropriate by
the Secretary.
2. Social Determinants of Health
(SDOH) Collected as Standardized
Patient Assessment Data Elements
Section 1899B(b)(1)(B)(vi) of the Act
authorizes the Secretary to collect
standardized patient assessment data
elements with respect to other
categories deemed necessary and
appropriate. Accordingly, we finalized
the creation of the SDOH category of
standardized patient assessment data
elements in the CY 2020 HH PPS final
rule (84 FR 60597 through 60608).
SDOH are the socioeconomic, cultural,
and environmental circumstances in
which individuals live that impact their
health.13 According to the World Health
Organization research shows that the
SDOH can be more important than
health care or lifestyle choices in
influencing health, accounting for
between 30–55% of health outcomes.14
This is a part of a growing body of
research that highlights the importance
of SDOH on health outcomes.
Subsequent to the CY 2020 HH PPS
final rule, we expanded our definition
of SDOH: SDOH are the conditions in
the environments where people are
born, live, learn, work, play, worship
and age that affect a wide range of
health, functioning, and quality-of-life
outcomes and risks.15 16 17 This
expanded definition aligns our
definition of SDOH with the definition
used by other HHS agencies, including
Office of the Assistant Secretary for
Health (OASH), the Centers for Disease
Control and Prevention (CDC) and the
White House Office of Science and
Technology Policy (OSTP).18 19 We
13 Office of the Assistant Secretary for Planning
and Evaluation (ASPE). Second Report to Congress
on Social Risk and Medicare’s Value-Based
Purchasing Programs. June 28, 2020. Available at
https://aspe.hhs.gov/reports/second-reportcongress-social-risk-medicares-value-basedpurchasing-programs.
14 World health Organization. Social
determinants of health. Available at https://
www.who.inte/health-topics/social-determinants-ofhealth#tab=tab_1.
15 Using Z Codes: The Social Determinants of
Health (SDOH). Data Journey to Better Outcomes.
16 Improving the Collection of Social
Determinants of Health (SDOH) Data with ICD–10–
CM Z Codes. https://www.cms.gov/files/document/
cms-2023-omh-z-code-resource.pdf.
17 CMS.gov Measures Management System
(MMS). CMS Focus on Health Equity. Health Equity
Terminology and Quality Measures. https://
mmshub-impl.cms.gov/about-quality/quality-atCMS/goals/cms-focus-on-health-equity/healthequity-terminology.
18 Centers for Disease Control and Prevention.
Social Determinants of Health (SDOH) and PLACES
Data.
19 ‘‘U.S. Playbook to Address Social Determinants
of Health’’ from the White House Office of Science
and Technology Policy (November 2023).
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currently collect seven items in this
SDOH category of standardized patient
assessment data elements: ethnicity,
race, preferred language, interpreter
services, health literacy, transportation,
and social isolation.20 In accordance
with our authority under section
1899B(b)(1)(B)(vi) of the Act, we
similarly finalized the creation of the
SDOH category of standardized patient
assessment data elements for skilled
nursing facilities (SNFs) in the FY 2020
SNF PPS final rule (84 FR 38805
through 38817), for Inpatient
Rehabilitation Facilities (IRFs) in the FY
2020 IRF PPS final rule (84 FR 39149
through 39161), and for Long Term
Acute Hospitals (LTCHs) in the FY 2020
LTCH PPS final rule (84 FR 42577
through 42579). We also collect the
same seven SDOH items in these PAC
providers’ respective patient/resident
assessment instruments (84 FR 38817,
39161, and 42577, respectively).
Adding access to standardized data
relating to SDOH on a national level
permits us to conduct periodic analyses,
and to assess their appropriateness as
risk adjustors or in future quality
measures. Our ability to perform these
analyses and to make adjustments relies
on existing data collection of SDOH
items from PAC settings. We adopted
these SDOH items using common
standards and definitions across the
four PAC providers to promote
interoperable exchange of longitudinal
information among these PAC
providers, including HHAs, and other
providers. We believe this information
may facilitate coordinated care, improve
patient focused care planning, and
allow for continuity of the discharge
planning process from PAC settings.
We noted in our CY 2020 HH PPS
final rule that each of the items was
identified in the 2016 National
Academies of Sciences, Engineering,
and Medicine (NASEM) report as
impacting care use, cost, and outcomes
for Medicare beneficiaries (84 FR 60598
through 60602). At that time, we
acknowledged that other items may also
be useful to understand. The SDOH
items we proposed to be collected as
standardized patient assessment data
elements under the SDOH category in
this rule were also identified in the 2016
NASEM report 21 or the 2020 NASEM
20 These SDOH data are also collected for
purposes outlined in section 2(d)(2)(B) of the
Improving Medicare Post-Acute Care Transitions
Act (IMPACT Act). For a detailed discussion on
SDOH data collection under section 2(d)(2)(B) of
the IMPACT Act, see the CY 2020 HH PPS final rule
(84 FR 60597 through 60608).
21 Social Determinants of Health. Healthy People
2020. https://www.cdc.gov/nchs/healthy_people/
hp2020.htmFebruary 2019.
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report 22 as impacting care use, cost and
outcomes for Medicare beneficiaries.
These items have the potential to affect
treatment preferences and goals of
patients and their caregivers.
Identification of the SDOH items may
also help HHAs be able to offer
assistance, by connecting patients and
their caregivers with these associated
needs to social support programs, as
well as inform our understanding of
patient complexity.
Health-related social needs (HRSNs)
are the resulting effects of SDOH, which
are individual-level, adverse social
conditions that negatively impact a
person’s health or health care.23
Examples of HRSN include lack of
access to food, housing, or
transportation, and these have been
associated with poorer health outcomes,
greater use of emergency departments
and hospitals, and higher health care
costs.24 25 Certain HRSNs can lead to
unmet social needs that directly
influence an individual’s physical,
psychosocial, and functional status.26
This is particularly true for food
security, housing stability, utilities
security, and access to transportation.27
Evidence supports the positive impact
22 National Academies of Sciences, Engineering,
and Medicine. 2020. Leading Health Indicators
2030: Advancing Health, Equity, and Well-Being.
Washington, DC: The National Academies Press.
https://doi.org/10.17226/25682.
23 Centers for Medicare & Medicaid Services. ‘‘A
Guide to Using the Accountable Health
Communities Health-Related Social Needs
Screening Tool: Promising Practices and Key
Insights.’’ August 2022. Available at https://
www.cms.gov/priorities/innovation/media/
document/ahcm-screeningtool-companion.
24 Berkowitz, S.A., T.P. Baggett, and S.T.
Edwards, ‘‘Addressing Health-Related Social Needs:
Value-Based Care or Values-Based Care?’’ Journal of
General Internal Medicine, vol. 34, no. 9, 2019, pp.
1916–1918, https://doi.org/10.1007/s11606-01905087-3.
25 Whitman A, De Lew N, Chappel A, Aysola V,
Zuckerman R, & Sommers B D. Addressing social
determinants of health: Examples of successful
evidence-based strategies and current federal
efforts. ASPE (Assistant Secretary for Planning and
Evaluation) Office of Health Policy. Report HP–
2022–12 April 1, 2022. SDOH-Evidence-Review.pdf
(hhs.gov). Accessed 3/1/2024.
26 Hugh Alderwick and Laura M. Gottlieb,
‘‘Meanings and Misunderstandings: A Social
Determinants of Health Lexicon for Health Care
Systems: Milbank Quarterly,’’ Milbank Memorial
Fund, November 18, 2019, https://
www.milbank.org/quarterly/articles/meanings-andmisunderstandings-a-social-determinants-of-healthlexicon-for-health-care-systems/.
27 Hugh Alderwick and Laura M. Gottlieb,
‘‘Meanings and Misunderstandings: A Social
Determinants of Health Lexicon for Health Care
Systems: Milbank Quarterly,’’ Milbank Memorial
Fund, November 18, 2019, https://
www.milbank.org/quarterly/articles/meanings-andmisunderstandings-a-social-determinants-of-healthlexicon-for-health-care-systems/.
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on health outcomes of interventions
aimed at addressing HRSNs.28
We proposed to require HHAs collect
and submit four new items in the OASIS
as standardized patient assessment data
elements under the SDOH category
because these items will collect
information not already captured by the
current SDOH items. Specifically, we
believe the ongoing identification of
SDOH will have three significant
benefits. First, promoting SDOH
screening could serve as evidence-based
building blocks for supporting
healthcare providers in actualizing their
commitment to address disparities that
disproportionately impact underserved
communities. Second, SDOH screening
advances health equity through
identifying potential social needs so that
an HHA may address those with the
patient, their caregivers, and community
partners during the home health episode
and discharge planning process, if
indicated.29 Third, these SDOH items
will support ongoing HH QRP initiatives
by providing data to stratify HHAs’
performance on current and future
quality measures to improve care
quality across different populations.
Additional collection of SDOH items
will permit us to continue developing
the statistical tools necessary to
maximize the value of Medicare data
and improve the quality of care for all
beneficiaries. For example, we recently
developed and released the Health
Equity Confidential Feedback Reports,
which provided data to HHAs on
whether differences in quality measure
outcomes are present for their patients
by dual-enrollment status and race and
ethnicity.30 We note that advancing
health equity by addressing the health
disparities that underlie the country’s
28 Whitman
A, De Lew N, Chappel A, Aysola V,
Zuckerman R, & Sommers B D. Addressing social
determinants of health: Examples of successful
evidence-based strategies and current federal
efforts. ASPE (Assistant Secretary for Planning and
Evaluation) Office of Health Policy. Report HP–
2022–12 April 1, 2022. SDOH-Evidence-Review.pdf
(hhs.gov). Accessed 5/29/2024.
29 American Hospital Association (2020). Health
Equity, Diversity & Inclusion Measures for
Hospitals and Health System Dashboards. December
2020. Accessed: January 18, 2022. Available at
https://ifdhe.aha.org/system/files/media/file/2020/
12/ifdhe_inclusion_dashboard.pdf.
30 In October 2023, we released two new annual
Health Equity Confidential Feedback Reports to
HHAs: The Discharge to Community (DTC) Health
Equity Confidential Feedback Report and the
Medicare Spending Per Beneficiary (MSPB) Health
Equity Confidential Feedback Report. The PAC
Health Equity Confidential Feedback Reports
stratified the DTC and MSPB measures by dualenrollment status and race/ethnicity. For more
information on the Health Equity Confidential
Feedback Reports, please refer to the Education and
Outreach materials available here: https://
www.cms.gov/medicare/quality/snf-qualityreporting-program/training.
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health system is one of our strategic
pillars 31 and a Biden-Harris
Administration priority.32
3. Proposal To Collect Four New Items
as Standardized Patient Assessment
Data Elements Beginning January 1,
2027, for the CY 2027 HH QRP Program
Year 33
We proposed to require that HHAs
collect four new items as standardized
patient assessment data elements under
the SDOH category using the OASIS:
one item for living situation, as
described in section III.D.3.a. of this
final rule; two items for food, as
described in section III.D.3.b. of this
final rule; and one item for utilities, as
described in section III.D.3.c of this final
rule.
We selected the final SDOH items
from the Accountable Health
Communities (AHC) HRSN Screening
Tool developed for the AHC Model. The
AHC HRSN Screening Tool is a
universal, comprehensive screening for
HRSNs that was developed by a
technical expert panel (TEP) in July
2016 to discuss opportunities and
challenges involved in screening for
HRSNs, consider and pare down CMS’
list of evidence-based screening
questions, and recommend a short list of
questions for inclusion in the final
tool.34 35 The TEP agreed to prioritize
the inclusion of five SDOH domains as
follows: (1) housing instability (for
example, homelessness, poor housing
quality); (2) food insecurity; (3)
transportation difficulties; (4) utility
assistance needs; and (5) interpersonal
safety concerns (for example, intimatepartner violence, elder abuse, child
maltreatment).36
31 Brooks-LaSure, C. (2021). My First 100 Days
and Where We Go from Here: A Strategic Vision for
CMS. Centers for Medicare & Medicaid. Available
at https://www.cms.gov/blog/my-first-100-days-andwhere-we-go-here-strategic-vision-cms.
32 The White House. The Biden-Harris
Administration Immediate Priorities. https://
www.whitehouse.gov/priorities/.
33 Per the authority for the OASIS assessment
instrument under 1891(d)(1), Home Health
Conditions of Participation [42 U.S.C. 1395bbb].
34 Centers for Medicare & Medicaid Services. ‘‘A
Guide to Using the Accountable Health
Communities Health-Related Social Needs
Screening Tool: Promising Practices and Key
Insights.’’ August 2022. Available at https://
www.cms.gov/priorities/innovation/media/
document/ahcm-screeningtool-companion.
35 Billioux, A., K. Verlander, S. Anthony, and D.
Alley. 2017. Standardized screening for healthrelated social needs in clinical settings: The
accountable health communities screening tool.
Discussion Paper, National Academy of Medicine,
Washington, DC. https://nam.edu/wp-content/
uploads/2017/05/Standardized-Screening-forHealth-Related-Social-Needs-in-ClinicalSettings.pdf.
36 More information about the AHC HRSN
Screening Tool is available on the website at
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We believe that requiring HHAs to
report new items that are currently
included in the AHC HRSN Screening
Tools will further standardize the
screening of SDOH across patient
assessment instruments and the various
quality reporting programs. For
example, our proposal will align, in
part, with the requirements of the
Hospital Inpatient Quality Reporting
(IQR) Program and the Inpatient
Psychiatric Facility Quality Reporting
(IPFQR) Program. As of January 2024,
hospitals are required to report whether
they have screened patients for the
standardized SDOH categories of
housing stability, food security, and
access to transportation to meet the
Hospital IQR Program requirements.37
Beginning January 2025, inpatient
psychiatric facilities (IPFs) will also be
required to report whether they have
screened patients for the same set of
SDOH categories.38 As we continue to
standardize data collection across PAC
settings, we believe using common
standards and definitions for new items
is important to ensure the interoperable
exchange of longitudinal information
between HHAs and other providers to
facilitate coordinated care, continuity in
care planning, and the discharge
planning process.
In the following section we describe
each of the four proposed items in more
detail.
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a. Living Situation
Healthy People 2030 prioritizes
economic stability as a key SDOH, of
which housing stability is a
component.39 40 Lack of housing
stability encompasses several
challenges, such as having trouble
paying rent, overcrowding, moving
frequently, or spending the bulk of
household income on housing.41 These
experiences may negatively affect
physical health and make it harder to
access health care. Lack of housing
stability can also lead to homelessness,
https://innovation.cms.gov/Files/worksheets/ahcmscreeningtool.pdf.
37 Centers for Medicare & Medicaid Services,
FY2023 IPPS/LTCH PPS final rule (87 FR 49191
through 49194).
38 Centers for Medicare & Medicaid Services, FY
2024 Inpatient Psychiatric Prospective Payment
System—Rate Update (88 FR 51107 through 51121).
39 https://health.gov/healthypeople/priorityareas/social-determinants-health.
40 Healthy People 2030 is a long-term, evidencebased effort led by the HHS that aims to identify
nationwide health improvement priorities and
improve the health of all Americans.
41 Kushel, M.B., Gupta, R., Gee, L., & Haas, J.S.
(2006). Housing instability and food insecurity as
barriers to health care among low-income
Americans. Journal of General Internal Medicine,
21(1), 71–77. doi: 10.1111/j.1525–
1497.2005.00278.x.
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which is housing deprivation in its most
severe form.42 On a single night in 2023,
roughly 653,100 people, or 20 out of
every 10,000 people in the United
States, were experiencing
homelessness.43 Rates of chronic
disease and premature mortality are
higher among the unsheltered homeless
relative to the sheltered.44 Older adults
(aged 65 years and older) have lower
rates of experiencing any housing
instability compared to younger people
(8.8% versus 18.7%), but low-income
older adults may be more at risk for
housing instability if they lack the
resources necessary to secure and/or
maintain structurally sound housing.45
Adults (aged 18–64 years) with
disabilities experience challenges to
securing stable housing including
affordability and accessibility.46 We
believe that HHAs can use information
obtained from the Living Situation
assessment item during a patient’s
initial assessment as well as in
discharge planning. For example, HH
social workers can work with patients
experiencing housing instability to
ensure patients are referred to available
community resources, such as
supportive housing programs. HHAs
could work in partnership with
community care hubs and communitybased organizations to establish new
care transition workflows, including
referral pathways, contracting
mechanisms, data sharing strategies,
and implementation training that can
track both health and social needs
outcomes to ensure unmet needs, such
as housing, are successfully addressed
42 Homelessness is defined as ‘‘lacking a regular
nighttime residence or having a primary nighttime
residence that is a temporary shelter or other place
not designed for sleeping.’’ Crowley, S. (2003). The
affordable housing crisis: Residential mobility of
poor families and school mobility of poor children.
Journal of Negro Education, 72(1), 22–38. doi:
10.2307/3211288.
43 The 2023 Annual Homeless Assessment Report
(AHAR) to Congress. The U.S. Department of
Housing and Urban Development 2023. https://
www.huduser.gov/portal/sites/default/files/pdf/
2023-AHAR-Part-1.pdf.
44 Richards J, & Kuhn R. Unsheltered
homelessness and health: A Literature Review.
AJPM focus 2023; 2(1):100043. American Journal of
Preventive Medicine. Unsheltered Homelessness
and Health: A Literature Review
(sciencedirectassets.com). Accessed 3/1/2024.
45 Bhat, Aarti C., David M. Almeida, Andrew
Fenelon, and Alexis R. Santos-Lozada. ‘‘A
longitudinal analysis of the relationship between
housing insecurity and physical health among
midlife and aging adults in the United States.’’
SSM-Population Health 18 (2022): 101128.
46 Popkin SJ, Hermans A, Oneto AD, Farrell L,
Connery M, & Cannington A. 2022. People with
Disabilities Living in the US Face Urgent Barriers
to Housing: Federal Programs are not Meeting the
Housing Needs of Disabled People. Urban Institute.
People with Disabilities Living in the US Face
Urgent Barriers to Housing_0.pdf (urban.org).
Accessed 5/29/2024.
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88435
through closed loop referrals and
follow-up.47 HHAs could also take
action to help alleviate a patient’s other
related costs of living, like food, by
referring patients to community-based
organizations that will allow patients’
additional resources to be allocated
towards housing without sacrificing
other needs.48 Finally, HHAs could use
the information obtained from the
Living Situation assessment item to
better coordinate with other PAC
facilities and agencies during transitions
of care, so that referrals to address a
patient’s housing stability are not lost
during vulnerable transition periods.
Due to the potential negative impacts
housing instability can have on a
patient’s health, we proposed to adopt
the Living Situation assessment item as
a new standardized patient assessment
data element under the SDOH category.
This Living Situation assessment item is
currently collected in the AHC HRSN
Screening Tool 49 50 and was adapted
from the Protocol for Responding to and
Assessing Patients’ Assets, Risks, and
Experiences (PRAPARE) tool.51 The
proposed Living Situation item asks:
‘‘What is your living situation today?’’
The proposed response options are: (1)
I have a steady place to live; (2) I have
a place to live today, but I am worried
about losing it in the future; (3) I do not
have a steady place to live; (4) Patient
unable to respond; and (5) Patient
declines to respond. A draft of the
proposed Living Situation item can be
found in the Downloads section of the
HH QRP Quality Measures web page at
https://www.cms.gov/medicare/quality/
home-health/home-health-qualitymeasures.
47 HHS, Call to Action, ‘‘Addressing Health
Related Social Needs in Communities Across the
Nation.’’ November 2023. https://aspe.hhs.gov/
sites/default/files/documents/3e2f6140d0087435
cc6832bf8cf32618/hhs-call-to-action-health-relatedsocial-needs.pdf.
48 Henderson, K.A., Manian, N., Rog, D.J.,
Robison, E., Jorge, E., AlAbdulmunem, M.
‘‘Addressing Homelessness Among Older Adults’’
(Final Report). Washington, DC: Office of the
Assistant Secretary for Planning and Evaluation,
U.S. Department of Health and Human Services.
October 26, 2023.
49 More information about the AHC HRSN
Screening Tool is available on the website at
https://innovation.cms.gov/Files/worksheets/ahcmscreeningtool.pdf.
50 The AHC HRSN Screening Tool Living
Situation item includes two questions. In an effort
to limit HHA burden, we are only proposing the
first question.
51 National Association of Community Health
Centers and Partners, National Association of
Community Health Centers, Association of Asian
Pacific Community Health Organizations,
Association OPC, Institute for Alternative Futures.
‘‘PRAPARE.’’ 2017. https://prapare.org/the-praparescreening-tool/.
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b. Food
The U.S. Department of Agriculture
(USDA), Economic Research Service
defines a lack of food security as a
household-level economic and social
condition of limited or uncertain access
to adequate food.52 Adults who are food
insecure may be at an increased risk for
a variety of negative health outcomes
and health disparities. For example, a
study found that food-insecure adults
may be at an increased risk for obesity.53
Nutrition security is also an important
component that builds on and
complements long standing efforts to
advance food security. The USDA
defines nutrition security as ‘‘consistent
and equitable access to healthy, safe,
affordable foods essential to optimal
health and well-being.’’ 54 While having
enough food is one of many predictors
for health outcomes, a diet low in
nutritious foods is also a factor.55
Studies have shown that older adults
struggling with food security consume
fewer calories and nutrients and have
lower overall dietary quality than those
who are food secure, which can put
them at nutritional risk. Older adults are
also at a higher risk of developing
malnutrition, which is considered a
state of deficit, excess, or imbalance in
protein, energy, or other nutrients that
adversely impacts an individual’s own
body form, function, and clinical
outcomes. About 50% of older adults
are affected by malnutrition, which is
further aggravated by a lack of food
security and poverty.56 We believe that
adopting items to collect and analyze
information about a patient’s food
security at home could provide
additional insight into their health
complexity and help facilitate
coordination with other healthcare
providers, facilities, and agencies during
transitions of care, so that referrals to
address a patient’s food security are not
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52 U.S.
Department of Agriculture, Economic
Research Service (n.d.). Definitions of food security.
Retrieved March 10, 2022, from https://
www.ers.usda.gov/topics/food-nutrition-assistance/
food-security-in-the-u-s/definitions-of-foodsecurity/.
53 Hernandez, D.C., Reesor, L.M., & Murillo, R.
(2017). Food insecurity and adult overweight/
obesity: Gender and race/ethnic disparities.
Appetite, 117, 373–378.
54 Food and Nutrition Security (n.d.). USDA.
https://www.usda.gov/nutrition-security.
55 National Center for Health Statistics (2022
September 6). Exercise or Physical Activity.
Retrieved from Centers for Disease Control and
Prevention: https://www.cdc.gov/nchs/fastats/
exercise.htm.
56 Food Research & Action Center (FRAC).
‘‘Hunger is a Health Issue for Older Adults: Food
Security, Health, and the Federal Nutrition
Programs.’’ December 2019. https://frac.org/wpcontent/uploads/hunger-is-a-health-issue-for-olderadults-1.pdf.
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lost during vulnerable transition
periods. For example, an HHA’s
registered nurse (RN) or other clinically
qualified nutrition professional could
work with the patient to plan healthy,
affordable food choices prior to
discharge.57 HHAs could also refer any
patient that indicates lack of food
security to government initiatives such
as home delivered meals programs
provided by Area Agencies on Aging,58
the Supplemental Nutrition Assistance
Program (SNAP), and food pharmacies
(programs to increase access to healthful
foods by making them affordable),
initiatives that have been associated
with lower health care costs and
reduced hospitalization and emergency
department visits.59
We proposed to adopt two new foodrelated standardized patient assessment
data elements under the SDOH category.
These proposed items are based on the
Food data elements currently collected
in the AHC Screening Tool and were
adapted from the U.S. Department of
Agriculture 18-item Household Food
Security Survey (HFSS).60 The first
proposed Food item states: ‘‘Within the
past 12 months, you worried that your
food will run out before you got money
to buy more.’’ The second proposed
Food item states: ‘‘Within the past 12
months, the food you bought just didn’t
last and you didn’t have money to get
more.’’ We propose the same response
options for both items: (1) Often true; (2)
Sometimes true; (3) Never True; (4)
Patient declines to respond; and (5)
Patient unable to respond. A draft of the
proposed Food items to be adopted as
standardized patient assessment data
elements under the SDOH category can
be found in the Downloads section of
the HH QRP Quality Measures web page
at https://www.cms.gov/medicare/
quality/home-health/home-healthquality-measures.
c. Utilities
A lack of energy (utility) security can
be defined as an inability to adequately
57 Schroeder K, Smaldone A. Food Insecurity: A
Concept Analysis. Nurse Forum. 2015 OctDec;50(4):274–84. doi: 10.1111/nuf.12118. Epub
2015 Jan 21. PMID: 25612146; PMCID:
PMC4510041.
58 Administration for Community Living.
Nutrition Services. Last updated 02/02/2024.
Accessed 04/19/2024. https://acl.gov/programs/
health-wellness/nutrition-services.
59 Tsega M, Lewis C, McCarthy D, Shah T, Coutts
K. Review of Evidence for Health-Related Social
Needs Interventions. July 2019. The Commonwealth
Fund. https://www.commwealthfund.org/sites/
default/files/2019-07/ROI-EVIDENCE-REVIEWFINAL-VERSION.pdf.
60 More information about the HFSS tool can be
found at https://www.ers.usda.gov/topics/foodnutrition-assistance/food-security-in-the-u-s/surveytools/.
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meet basic household energy needs.61
According to the Department of Energy,
one in three households in the U.S. are
unable to adequately meet basic
household energy needs.62 The median
energy burden for rural households of
older adults is considerably higher than
that for households without older
adults.63 The consequences associated
with a lack of utility security are
represented by three primary
dimensions: economic, physical, and
behavioral. Patients with low incomes
are disproportionately affected by high
energy costs, and they may be forced to
prioritize paying for housing and food
over utilities. Among older adults, food
insecurity and high energy costs
together are prevalent.64 Some patients
with low incomes may face limited
housing options and be at increased risk
of living in lower-quality physical
conditions with malfunctioning heating
and cooling systems, poor lighting, and
outdated plumbing and electrical
systems. Finally, patients with a lack of
utility security may use concerning
behavioral approaches to cope, such as
using stoves and space heaters for
heat.65 In addition, data from the
Department of Energy’s U.S. Energy
Information Administration confirm
that a lack of energy security
disproportionately affects certain
populations, such as low-income and
African American households.66 The
effects of a lack of utility security
include vulnerability to environmental
exposures such as dampness, mold, and
thermal discomfort in the home, which
have direct effect on patients’ health.67
61 Hernández D. Understanding ’energy
insecurity’ and why it matters to health. Soc Sci
Med. 2016 Oct; 167:1–10. doi: 10.1016/
j.socscimed.2016.08.029. Epub 2016 Aug 21. PMID:
27592003; PMCID: PMC5114037.
62 U.S. Energy Information Administration. ‘‘One
in Three U.S. Households Faced Challenges in
Paying Energy Bills in 2015.’’ 2017 Oct 13. https://
www.eia.gov/consumption/residential/reports/
2015/energybills/.
63 Simes, Miranda, Farzana Khan, and Diana
Hernández. ‘‘Energy Insecurity and Social
Determinants of Health.’’ In Handbook of Social
Sciences and Global Public Health, pp. 2119–2137.
Cham: Springer International Publishing, 2023.
64 Simes, Miranda, Farzana Khan, and Diana
Hernández. ‘‘Energy Insecurity and Social
Determinants of Health.’’ In Handbook of Social
Sciences and Global Public Health, pp. 2119–2137.
Cham: Springer International Publishing, 2023.
65 Hernández D. ‘‘What ‘Merle’ Taught Me About
Energy Insecurity and Health.’’ Health Affairs,
VOL.37, NO.3: Advancing Health Equity Narrative
Matters. March 2018. https://doi.org/10.1377/
hlthaff.2017.1413.
66 U.S. Energy Information Administration. ‘‘One
in Three U.S. Households Faced Challenges in
Paying Energy Bills in 2015.’’ 2017 Oct 13. https://
www.eia.gov/consumption/residential/reports/
2015/energybills/.
67 Shahrestanaki, S.K., Rafii, F., Najafi Ghezeljeh,
T. et al. Patient safety in home health care: a
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For example, research has shown
associations between a lack of energy
security and respiratory conditions as
well as mental health–related disparities
and poor sleep quality in vulnerable
populations such as the elderly,
children, the socioeconomically
disadvantaged, and the medically
vulnerable.68 We believe adopting an
item to collect information about a
patient’s utility security upon start or
resumption of care in HHAs will
facilitate the identification of patients
who may not have utility security and
who may benefit from engagement
efforts. For example, HHAs could use
the information on utility security to
help connect identified patients in need,
such as older adults, to programs that
can help pay for home energy (heating/
cooling) costs, like the Low-Income
Home Energy Assistance Program
(LIHEAP) 69 or receive broadband
internet service through the Affordable
Connectivity Program.70 HHAs can also
partner with community care hubs and
community-based organizations to assist
patients in applying for these and other
local utility assistance programs, as well
as helping them navigate the enrollment
process.71
We proposed to adopt a new Utilities
item as a new standardized patient
assessment data element under the
SDOH category. This proposed item is
based on the Utilities item currently
collected in the AHC HRSN Screening
Tool and was adapted from the
Children’s Sentinel Nutrition
Assessment Program (C–SNAP)
survey.72 The proposed Utilities item
asks: ‘‘In the past 12 months, has the
grounded theory study. BMC Health Serv Res 23,
467 (2023). https://doi.org/10.1186/s12913-02309458-9.
68 Siegel, Eva Laura, Kathryn Lane, Ariel Yuan,
Lauren A. Smalls-Mantey, Jennifer Laird, Carolyn
Olson, and Diana Hernández. ‘‘Energy Insecurity
Indicators Associated With Increased Odds Of
Respiratory, Mental Health, And Cardiovascular
Conditions: Study examines energy insecurity and
health conditions.’’ Health Affairs 43, no. 2 (2024):
260–268.
69 Low Income Home Energy Assistance Program
(LIHEAP) | The Administration for Children and
Families (hhs.gov) (https://www.acf.hhs.gov/ocs/
programs/liheap).
70 https://www.fcc.gov/broadbandbenefit.
71 National Council on Aging (NCOA). ‘‘How to
Make It Easier for Older Adults to Get Energy and
Utility Assistance.’’ Promising Practices
Clearinghouse for Professionals. Jan 13, 2022.
https://www.ncoa.org/article/how-to-make-it-easierfor-older-adults-to-get-energy-and-utility-assistance.
72 This validated survey was developed as a
clinical indicator of household energy security
among pediatric caregivers. Cook, J.T., D.A. Frank.,
P.H. Casey, R. Rose-Jacobs, M.M. Black, M. Chilton,
S. Ettinger de Cuba, et al. ‘‘A Brief Indicator of
Household Energy Security: Associations with Food
Security, Child Health, and Child Development in
US Infants and Toddlers.’’ Pediatrics, vol. 122, no.
4, 2008, pp. e874–e875. https://doi.org/10.1542/
peds.2008-0286.
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electric, gas, oil, or water company
threatened to shut off services in your
home?’’ The proposed response options
are: (1) Yes; (2) No; (3) Already shut off;
(4) Patient unable to respond; and (5)
Patient declines to respond. A draft of
the proposed Utilities item to be
adopted as a standardized patient
assessment data element under the
SDOH category can be found in the
downloads section of the HH QRP
Quality Measures web page at https://
www.cms.gov/medicare/quality/homehealth/home-health-quality-measures.
4. Stakeholder Input
We developed our proposal after
considering the feedback we received
when we proposed the creation of the
SDOH category of standardized patient
assessment data elements in the CY
2020 HH PPS rule (84 FR 34677 through
34684). Commenters were generally in
favor of the concept of collecting SDOH
data elements and stated that if
implemented appropriately the data
could be useful in identifying and
addressing health care disparities, as
well as refining the risk adjustment of
outcome measures. We incorporated
this input into the development of the
proposal.
We invited comment on the proposal
to adopt four new items as standardized
patient assessment data elements under
the SDOH category beginning with the
CY 2027 HH QRP: one living situation
item; two food items; and one utilities
item.
Comment: The majority of
commenters supported the proposal.
Supportive comments noted the
importance and relevance of SDOH to
home health and the importance of
interoperability. Some commenters
noted that their home health agencies
are already collecting this information
and have established community
partnerships to address SDOH.
Response: CMS appreciate
commenters’ support for the proposal
and agrees that SDOH are important and
relevant to home health. CMS also
agrees that interoperability is important
to measure quality and advance health
equity, and thus we propose data
elements that are standardized across
the PAC settings. CMS appreciates that
some home health agencies are already
addressing SDOH by collecting
information and working with
community partners.
Comment: Some commenters
expressed support for the proposal and
suggested changes, including expanding
the assessment to capture overall
financial need, and embedding the
American Healthy Communities (AHC)
screening tool in the assessment
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88437
instruments. One commenter suggested
that CMS require collection of the
information but not specify the tool or
instrument to be used.
Response: CMS appreciates the
commenters’ suggestions and
acknowledge that patients’ overall
financial need and other data elements
from the AHC screening tool are
important. However, the proposed data
elements have been identified as
impacting care use, cost and outcomes
for Medicare beneficiaries. These items
have the potential to affect treatment
preferences and goals of patients and
their caregivers. Identification of the
SDOH items may also enable HHAs to
offer assistance, by connecting patients
and their caregivers with these
associated needs to social support
programs, as well as inform our
understanding of the level of patient
clinical complexity. We believe the
proposed data elements offer the
greatest potential benefit without undue
burden for patients and HHAs.
Comment: Commenters that
supported the proposal also expressed
implementation concerns that vendors
be provided enough time to prepare for
the changes; that home health agencies
be provided time and resources to
educate staff on the changes; that OASIS
revisions are too frequent and
burdensome for agencies; and that
implementation of the proposal would
be burdensome. Some commenters
cautioned that SDOH needs identified
must be addressed, and one suggested
that CMS should provide additional
reimbursement to HHAs for the followup required to address identified needs.
Response: CMS acknowledges and
appreciates the commenters’ concerns
and suggestions. CMS is finalizing the
SDOH data elements in this CY2025
final rule with an effective date of
January 1, 2027, to ensure that vendors
and HHAs have sufficient time to
prepare for implementation of data
collection. CMS will make training
available to HHAs on the changes to the
OASIS, consistent with education and
training resources for previous revisions
to the OASIS instrument. CMS
acknowledges that revisions to the
OASIS require that providers expend
time, effort, and resources to prepare for
the changes. CMS is committed to
proposing revisions to the OASIS no
more frequently than every two years.
CMS agrees that patients’ needs should
be addressed by the HHA, consistent
with applicable rules and regulations,
although we note that the proposal does
not specify a requirement for how HHAs
may address patients’ needs.
Comment: A commenter suggested
that CMS consider home health SDOH
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data differently than data from the PAC
institutional settings, noting that in
home health, an HHA staff member
often walks into the home where a
situation caused by or related to one or
more SDOH is already happening and
may be at a crisis level. In those
situations, HHAs may not have the
capacity to remediate identified issues
since this would take significantly more
time than merely conducting the
assessment. The commenter suggested
that requirements that HHA staff
respond to patient and caregiver crises
may trigger obligations such as
mandatory reporting to the local adult
protective services agency, or requiring
that the staff member call county health
officials to condemn a patient’s current
living space even when no housing
alternative exists. These requirements
would violate the trust the HHA is
trying to establish through its services
and jeopardize individuals’ ability to
access needed services for which they
are eligible. The commenter suggests
that the SDOH data elements not be
used as process or outcome measures
without additional CMS support for
HHAs and recommends that the SDOH
data elements be considered an
opportunity to gather more information
on populations accessing home health
services.
Response: CMS acknowledges that the
home health setting differs from that of
the institutional PAC settings. However,
we believe that HHAs can benefit from
this information to facilitate coordinated
care, improve patient focused care
planning, and allow for continuity of
the discharge planning process.
Ultimately, CMS believes that first,
screening for SDOH could serve as
evidence-based building blocks for
supporting healthcare providers in
actualizing their commitment to address
disparities that disproportionately
impact underserved communities.
Second, screening for SDOH advances
health equity through identifying
potential social needs of individuals so
the HHA may address those with the
patient, their caregivers, and community
partners during the home health episode
and discharge planning process, if
indicated.73 Third, these SDOH items
will support ongoing HH QRP initiatives
by providing data with which to stratify
HHAs’ performance on current and
future quality measures to improve care
quality across different populations.
73 American Hospital Association (2020). Health
Equity, Diversity & Inclusion Measures for
Hospitals and Health System Dashboards. December
2020. Accessed: January 18, 2022. Available at:
https://ifdhe.aha.org/system/files/media/file/2020/
12/ifdhe_inclusion_dashboard.pdf.
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Comment: Commenters that did not
support the proposal acknowledged that
SDOH information was important, but
stated that adding four data elements to
the OASIS and modifying a fifth would
be burdensome. One commenter noted
that revisions to the OASIS are too
frequent and recommended that CMS
limit revisions to intervals of no less
than four years. One commenter
suggested that the proposed ‘‘living
situation’’ data element duplicates other
information that is already collected,
and recommended that the look-back for
the ‘‘utilities’’ data element be changed
from 12 months to three to capture more
reliable, valid, and timely information.
Another commenter encouraged CMS to
consider using SDOH information as
part of the risk-adjustment of outcome
quality measures. A commenter stated
the proposal is not aligned with healthrelated social needs reporting
requirements across the care continuum
and that further testing and refinement
are needed to ensure the proposed items
work as intended in this setting. This
commenter noted the proposed data
elements are not standardized with
those in the Inpatient and Inpatient
Psychiatric Facility Quality Reporting
Programs, so are not interoperable, and
also noted that inpatient psychiatric
facilities may use any standardized
health-related social needs screening
tool. This commenter noted that CMS’
evaluation of the AHC HRNS screening
tool in the AHC Model showed that
screening did not appear to increase
beneficiary connection to community
resources or health-related social need
resolution, and they recommended that
CMS conduct further testing and
develop clearer implementation
guidance before adopting the proposed
data elements in the HHQRP. This
commenter also requested that CMS
articulate its vision for how the healthrelated social need information
collected by the proposed data elements
would be used in its quality and
payment programs, noting for example
that measures holding HHAs
accountable for community-based
outcomes such as connection to
community resources and resolution of
health-related social need is outside the
scope of covered home health services
as defined by Medicare.
Response: We acknowledge the
commenters’ concerns and appreciate
their suggestions. As previously stated,
CMS acknowledges that revisions to the
OASIS require HHAs’ time, effort, and
resources, and we are committed to
proposing revisions to the OASIS no
more frequently than every two years.
CMS disagrees that the proposed
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‘‘Living Situation’’ data element
duplicates information that is already
collected because it addresses housing
insecurity, which is not part of the
information captured in the current
OASIS. CMS appreciates the suggestion
to reduce the look-back period for the
‘‘Utilities’’ data element and will take
this into consideration as we review
data submitted. CMS acknowledges that
the SDOH data elements finalized in
this rule are not aligned with those of
the inpatient QRPs; however we believe
that standardization across the PAC
settings is an important step in
advancement towards interoperability.
CMS believes that the data elements
finalized in this rule are not settingspecific, and that the testing conducted
in their development has been
sufficiently rigorous that we can adopt
the data elements into the OASIS and
the other PAC instruments with
confidence.
After consideration of the public
comments we received, we are
finalizing our proposal to adopt four
new items as standardized patient
assessment data elements under the
SDOH category beginning with the CY
2027 HH QRP.
5. Modification of the ‘‘Transportation’’
Item Beginning With the CY 2027 HH
QRP Program Year
Beginning January 1, 2023, HHAs
began collecting seven standardized
patient assessment data elements under
the SDOH category on the OASIS
Version E. One of these items, A1250.
‘‘Transportation’’, collects data on
whether a lack of transportation has
kept a patient from getting to and from
medical appointments, meetings, work,
or from getting things they need for
daily living. This item was adopted as
a standardized patient assessment data
element under the SDOH category in the
CY 2020 HH PPS final rule (84 FR
60478). As we discussed in the CY 2020
HH PPS final rule, we continue to
believe that access to transportation for
ongoing health care and medication
access needs, particularly for those with
chronic diseases, is essential to
successful chronic disease management
and the collection of a ‘‘Transportation’’
item will facilitate the connection to
programs that can address identified
needs.
As part of our routine item and
measure monitoring work, we continue
to assess the implementation of the new
SDOH items. We have identified an
opportunity to improve the data
collection for A1250. ‘‘Transportation’’
by aligning it with the Transportation
category collected in our other
programs. Specifically, we proposed to
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modify the current ‘‘Transportation’’
item so that it aligns with a
‘‘Transportation’’ item collected on the
AHC HRSN Screening Tool available to
the IPFQR and IQR Programs. Data
element A1250, ‘‘Transportation’’,
currently collected in the OASIS asks
patients: ‘‘Has lack of transportation
kept you from medical appointments,
meetings, work, or from getting things
needed for daily living?’’ The response
options are: ‘‘(A) Yes, it has kept me
from medical appointments or from
getting any medications’’; ‘‘(B) Yes, it
has kept me from non-medical meetings,
appointments, work, or from getting
things that I need’’; ‘‘(C) No’’; ‘‘(X)
Patient unable to respond’’; and ‘‘(Y)
Patient declines to respond’’. By
comparison, the ‘‘Transportation’’ item
collected in the AHC HRSN Screening
Tool asks, ‘‘In the past 12 months, has
lack of reliable transportation kept you
from medical appointments, meetings,
work or from getting things needed for
daily living?’’ The two response options
are: ‘‘(1) Yes’’; and ‘‘(2) No.’’ Consistent
with the AHC HRSN Screening Tool, we
proposed to modify the A1250.
‘‘Transportation’’ item currently
collected in the OASIS in two ways: (1)
revise the look-back period for when the
patient experienced lack of reliable
transportation; and (2) simplify the
response options.
While the current ‘‘Transportation’’
assessment item uses a look-back period
of six to 12 months, we believe use of
a 12-month lookback period will reduce
ambiguity for both patients and
clinicians, and therefore improve the
validity of the data collected. Second,
we proposed to simplify the response
options. Currently, HHAs separately
collect information on whether a lack of
reliable transportation has kept the
patient from medical appointments or
from getting medications, and whether a
lack of transportation has kept the
patient from non-medical meetings,
appointments, work, or from getting
things they need. Although
transportation barriers can directly
affect a person’s ability to attend
medical appointments and obtain
medications, a lack of transportation can
also affect a person’s health in other
ways, including accessing goods and
services, obtaining adequate food and
clothing, and social activities.74 The
proposed modified ‘‘Transportation’’
item will collect information on
whether a lack of reliable transportation
74 Victoria Transport Policy Institute (2016
August 25). Basic access and basic mobility:
Meeting society’s most important transportation
needs. Retrieved from https://www.vtpi.org/tdm/
tdm103.htm.
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has kept the patient from medical
appointments, meetings, work or from
getting things needed for daily living,
rather than collecting the information
separately. As discussed previously, we
believe reliable transportation services
are fundamental to a person’s overall
health, and as a result, the burden of
collecting this information separately
outweighs its potential benefit.
For the reasons stated, we proposed to
modify the current A1250
‘‘Transportation’’ based on the
‘‘Transportation’’ item adopted for use
in the AHC HRSN Screening Tool and
adapted from the PRAPARE tool. The
proposed ‘‘Transportation’’ item asks:
‘‘In the past 12 months, has a lack of
reliable transportation kept you from
medical appointments, meetings, work
or from getting things needed for daily
living?’’ The proposed response options
are: (0) Yes; (1) No; (7) Patient declines
to respond; and (8) Patient unable to
respond. A draft of the proposed
‘‘Transportation’’ item to be adopted as
a standardized patient assessment data
element under the SDOH category can
be found on the HH QRP Quality
Measures web page at https://
www.cms.gov/medicare/quality/homehealth/home-health-quality-measures/
downloads.
We invited comment on the proposal
to modify the current ‘‘Transportation’’
item previously adopted as a
standardized patient assessment data
element under the SDOH category
beginning January 1, 2027, with the CY
2027 HH QRP.
Comment: Most commenters
supported the modification of the
‘‘Transportation’’ item to align with the
AHC HRSN Screening Tool. Some even
suggested adopting more components of
the AHC tool to the OASIS assessment
tool.
Response: CMS appreciate
commenters’ support for the proposal
and agrees that the adoption of this AHC
item improves consistency with other
provider settings.
Comment: A few commenters noted a
concern related to the burden required
to update the OASIS with the
replacement of the current
‘‘Transportation’’ item.
Response: CMS acknowledges there is
a change to the OASIS that will be
required with the modification of the
‘‘Transportation’’ item but there will be
sufficient guidance to clarify the correct
completion of the new item.
Additionally, the new item does not
substantially increase effort in
completing the OASIS tool relative to
the current ‘‘Transportation’’ item.
After consideration of the public
comments we received, we are
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88439
finalizing our proposal to modify the
current ‘‘Transportation’’ item
previously adopted as a standardized
patient assessment data element under
the SDOH category beginning January 1,
2027, with the CY 2027 HH QRP.
E. Proposal To Update OASIS All-Payer
Data Collection
In the CY 2023 HH PPS final rule
CMS finalized the end of the temporary
suspension of OASIS data collection on
non-Medicare/non-Medicaid HHA
patients and the requirement for HHAs
to submit all-payer OASIS data for
purposes of the HH QRP, beginning
with the CY 2027 Program Year (87 FR
66862 through 66865). Consistent with
the two-quarter phase-in that we
typically use when changing data
submission items or requirements,
HHAs will have an opportunity to begin
submitting this data for patients
discharged between January 1, 2025,
through June 30, 2025, but we will not
use that phase-in data to make a
compliance determination. We noted
that the new all-payer OASIS data
reporting will be required beginning
with the CY 2027 program year, with
data for that program year required for
patients discharged between July 1,
2025, and June 30, 2026. For HHAs to
operationalize this requirement, CMS
determined that further details will be
needed to clarify OASIS data collection
and submission for non-Medicare/nonMedicaid patients. The CY23 final rule
referenced discharge as the time point to
identify when all-payer data collection
will start but did not address the other
data collection time points.
To clarify expectations around the
start of OASIS all-payer data collection
we proposed to establish a change from
data collection beginning with the
OASIS discharge time point to using the
start of care (SOC) time point. The SOC
is the first assessment that can be
submitted for a non-Medicare/nonMedicaid patient, either on or after
January 1, 2025, for the phase-in
(voluntary) period or on or after July 1,
2025, for the mandatory period. We will
use the M0090 ‘‘Date Assessment
Completed’’ date of the SOC assessment
to identify non-Medicare/non-Medicaid
patient assessments in the phase-in and
mandatory periods.
Using the SOC time point ensures
HHA characteristics (for example,
Agency’s CMS Certification Number
(CCN), State and Branch ID#s) and
patient-specific information (for
example, patient name, State, zip code,
Social Security number (SSN), gender,
date of birth (DOB), payment source) are
collected for each non-Medicare/nonMedicaid patient assessment at the start
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of all-payer OASIS data collection. After
these are collected and submitted with
the SOC assessment, they are
resubmitted with each subsequent
OASIS submission (that is, ROC, recert,
other follow up, transfer, discharge,
death at home). Using the SOC time
point will ensure that baseline data is
available for use in calculating or riskadjusting quality measures, and in
linking to prior OASIS assessments. The
data will also be available for matching
purposes to support use of the current
quality assessments only (QAO) metric
used in the annual payment update
(APU) calculation.
The Medicare Prescription Drug,
Improvement, and Modernization Act of
2003 (Pub. L. 108–173; December 8,
2003) finalized the temporary
suspension of OASIS requirements for
collection of data on non-Medicare/nonMedicaid patients.75 The CY 2023 HH
PPS final rule ends this temporary
suspension of OASIS data collection for
non-Medicare/non-Medicaid patients.
CMS is providing a voluntary phase-in
period for HHAs to begin OASIS data
collection and submission for all nonMedicare/non-Medicaid patients.
• Prior to January 1, 2025—Per the
HH CoPs and OASIS guidance, HHAs
are required to collect and submit
OASIS assessments for all skilled
Medicare and/or Medicaid patients,
with some exemptions. OASIS
assessment time points include start of
care, resumption of care, recertification,
other follow-up, transfer, discharge, and
death at home. The criteria for patients
exempt from OASIS data collection are
not changing and will continue to
include patients under 18, patients
receiving maternity services, and
patients receiving only personal care,
housekeeping or chore services.
• January 1, 2025, through June 30,
2025—For non-Medicare/non-Medicaid
patients who are not exempt from
OASIS data collection, and who begin
receiving home health care services
with an OASIS SOC M0090 date from
January 1, 2025, through June 30, 2025,
OASIS data collection and submission
are voluntary. When OASIS data
collection and submission are started for
a non-Medicare/non-Medicaid patient
with the SOC OASIS assessment, HHAs
may but are not required to complete all
subsequent OASIS time point
assessments related to the patient’s
home health stay (that is, resumption of
care, recertification, other follow up,
transfer, discharge, and death at home)
including assessments completed on or
after July 1, 2025.
75 www.congress.gov/108/statute/STATUTE-117/
STATUTE-117-Pg2066.pdf.
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• Beginning July 1, 2025—For
patients with any pay source who are
not exempt from OASIS data collection,
and who begin receiving home health
care services with an OASIS SOC
M0090 date on or after July 1, 2025,
OASIS data collection and submission
to the internet Quality Improvement
Evaluation System (iQIES) are required.
This includes the SOC OASIS as well as
any subsequent OASIS time point
assessments relevant to the patient’s
home health stay (that is, resumption of
care, recertification, other follow up,
transfer, discharge, and death at home).
We invited comment on the proposal
to update requirements for OASIS allpayer data collection beginning January
1, 2025.
Comment: Those who supported the
proposal emphasized that a voluntary
phase-in and the use of the start of care
date to initiate all payer submission
would provide consistency with how
the policy is implemented. Another
commenter noted the resumption of all
payer OASIS data collection and
submission aligns policies and reporting
across post-acute care settings and
patient subsets and provides a fuller,
more accurate representation of home
health quality of care for use in
beneficiary health care decision making,
policy development, and health services
research.
Response: CMS thanks commenters
for providing feedback on the proposal.
The goal of implementing all-payer data
collection and submission is to facilitate
a better understanding of quality of care
provided to patients in Medicarecertified home health and post-acute
care settings in general, regardless of
payor source.
Comment: Some commenters
acknowledged the importance of OASIS
all-payer data but expressed concerns
about how CMS will use the data in the
HHQRP and the HHVBP.
Response: CMS acknowledges
concerns about how the data collected
with the implementation of all-payer
data collection and submission will be
utilized. CMS expects to use this data to
gain a better understanding of the
overall quality of care provided by
Medicare-certified providers and the
patients they serve, regardless of payor
source.
Comment: Some commenters raised
questions about how the all-payer
policy would be implemented for
patients without any payor source and
in other scenarios such as how to
complete OASIS for non-Medicare
patients already on service, or that
transfer to the hospital, or for payer
changes. One commenter asked about
whether PDGM rules for a 60-day
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episode and 30-day payment period
apply to all payers.
Response: CMS thanks commenters
for the questions regarding
implementation of all-payer data
collection and submission. All-payer
data collection and submission is
intended for any patient receiving
skilled home health care service that
would meet requirements for an OASIS
assessment. As noted in the proposal,
data collection at time points outside of
start of care for patients already on
home health care service before the
implementation of mandatory all-payer
data collection and submission will not
be required. The implementation of
mandatory all-payer data collection and
submission is also not intended to
impact payment policy.
Comment: Another commenter
expressed concern about the
implications for patient privacy,
particularly for patient care funded by
non-government payers.
Response: CMS acknowledges privacy
concerns with the implementation of
the all-payer data collection and
submission. Data security and patient
privacy are priorities for CMS. CMS
intends to follow all Federal guidelines
related to data security and patient
privacy.
Comment: Commenters who opposed
the proposal most often raised the issue
of the burden of implementing the new
policy. One commenter noted that deep
labor shortages, particularly for nurses
and home health aides, would impact
availability of staff to meet the
expanded data collection requirement.
Some raised concerns about the new
policy’s effect on reimbursement and
that completing all required home
health admissions could become more
difficult.
Response: Related to the concern
about burden, as noted when the allpayer data collection policy was first
proposed, CMS expects that the sixmonth voluntary submission period will
allow providers the time and experience
to effectively implement the new policy.
As clinical assessment of all patients is
an important standard, CMS anticipates
the OASIS assessment will replace other
assessment tools currently in place for
non-Medicare/Medicaid payor sources.
After consideration of the public
comments we received, we are
finalizing our proposal to update
requirements for OASIS all-payer data
collection beginning January 1, 2025.
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F. Form, Manner, and Timing of Data
Submission Under the HH QRP
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1. Background
We refer readers to the regulatory text
at § 484.45 for information regarding the
current policies for reporting HH QRP
data.
2. Proposed Reporting Schedule for the
Submission of SDOH Assessment Items
Beginning January 1, 2027, With the CY
2027 HH QRP
As discussed in section III.D.3. of this
final rule, we proposed to adopt four
new items as standardized patient
assessment data elements in the SDOH
category: one living situation item, two
food items, and one utilities item, and
to modify the ‘‘Transportation’’ item in
section III.D.5. of this rule beginning
January 1, 2027, with the CY 2027 HH
QRP.
We proposed that HHAs will be
required to report these new assessment
items using the OASIS beginning with
patients admitted on January 1, 2027,
for purposes of the CY 2027 HH QRP
program year. Starting in CY 2027,
HHAs will be required to submit data
for the entire calendar year,
corresponding to the CY 2028 HH QRP
program year with respect to OASIS
submission requirements.
We also proposed that HHAs that
submit the living situation, food,
utilities, and transportation items with
respect to start or resumption of care
will be deemed to have submitted those
assessment items with respect to both
start or resumption of care and
discharge, because it is unlikely that the
assessment of those items at start or
resumption of care will differ from the
assessment of the same item at
discharge. A draft of the proposed
assessment items is available in the
Downloads section of the HH QRP
Quality Measures web page at https://
www.cms.gov/medicare/quality/homehealth/home-health-quality-measures.
As we noted in section III.D.5 of this
final rule, we continue to assess the
implementation of the new items in the
SDOH category, including A1250.
‘‘Transportation’’, as part of our routine
assessment item and measure
monitoring work. We analyzed the data
home health agencies reported from
January 1, 2023, through September 30,
2023 (Q1 2023–Q3 2023) and found that
home health patient responses do not
significantly change from admission to
discharge. Specifically, the proportion
of patients who responded ‘‘Yes’’ to the
A1250 ‘‘Transportation’’ item at start of
care or resumption of care (8.87 percent)
versus at discharge to community (5.71
percent) differed by only 3.16
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percentage points during this period.
We find these results convincing, and
therefore are proposing to require HHAs
to submit the proposed item,
‘‘Transportation’’, at the start and
resumption of care only.
We invited public comment on our
proposal to collect data on the following
items in the SDOH category start or
resumption of care beginning January 1,
2027 with the CY 2027 HH QRP
program year: one Living Situation item
as described in section III.D.3.a of this
final rule; two Food items, as described
in section III.D.3.b of this final rule; one
Utilities item as described in section
III.D.3.c of this final rule; and one
‘‘Transportation’’ item as described in
section III.D.5 of this final rule.
A majority of commenters supported
the proposal. Supportive comments
included that SDOH are important and
relevant to home health, and that
interoperability is important. Some
commenters noted that their home
health agencies are already collecting
this information and have established
community partnerships to address
SDOH.
Response: CMS appreciate
commenters’ support for the proposal
and agrees that SDOH are important and
relevant to home health. CMS also
agrees that interoperability is important
to measure quality and advance health
equity, and thus we propose data
elements that are standardized across
the PAC settings. CMS appreciates that
some home health agencies are already
addressing SDOH by collecting
information and working with
community partners.
Commenters that supported the
proposal expressed concerns about
implementation including that the
vendors be provided enough time to
prepare for the changes, that home
health agencies be provided time and
resources to educate staff on the
changes, that OASIS revisions are too
frequent and burdensome for agencies
and that implementation of the proposal
would be burdensome. Some
commenters cautioned that SDOH needs
identified must be addressed, and one
suggested that CMS should provide
additional reimbursement to HHAs for
the follow-up required to address
identified needs.
Response: CMS acknowledge the
commenters’ concerns and appreciate
their suggestions. CMS is proposing the
SDOH data elements in the CY 2025 HH
PPS proposed rule with an effective date
to begin collection via the OASIS
instrument of January 1, 2027, to ensure
that vendors and HHAs have sufficient
time to prepare for implementation.
CMS will make training available to
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HHAs on the changes to the OASIS,
consistent with education and training
resources for previous revisions to the
OASIS instrument. CMS acknowledges
that revisions to the OASIS require time
and effort and resources for providers to
prepare for the changes and is
committed to proposing revisions to the
OASIS no more frequently than every
two years. CMS agrees that patients’
needs should be addressed by the HHA,
consistent with applicable rules and
regulations, although we note that the
proposal does not specify a requirement
for how HHAs may address patients’
needs.
Commenters that did not support the
proposal acknowledged that SDOH
information is important but adding
four data elements to the OASIS and
modifying a fifth would be burdensome.
One commenter noted that revisions to
the OASIS are too frequent and
recommended that CMS limit revisions
to intervals of no less than four years.
One commenter suggested that the
proposed living situation data element
is duplicative of information that is
already collected and recommended
that the look-back for the utilities data
element be changed from 12 months to
three to capture more reliable, valid,
and timely information. Another
commenter encouraged CMS to consider
using SDOH information as part of the
risk-adjusted outcome quality measures.
A commenter stated the proposal is not
aligned with health-related social needs
reporting requirements across the care
continuum and that further testing and
refinement are needed to ensure the
proposed items work as intended in this
setting. This commenter noted that
CMS’ evaluation of the AHC HRNS
screening tool in the AHC Model
showed that screening did not appear to
increase beneficiary connection to
community resources or health-related
social need resolution, and they
recommended CMS conduct further
testing and developing clearer
implementation guidance before
adopting the proposed data elements in
the HHQRP.
Response: We acknowledge the
commenters’ concerns and appreciate
their suggestions. As previously stated,
CMS acknowledges that revisions to the
OASIS require time and effort and
resources for providers to prepare for
the changes and we are committed to
proposing revisions to the OASIS no
more frequently than every two years.
CMS disagrees that the proposed Living
Situation data element is duplicative of
information that is already collected
because it addresses housing insecurity,
which is not part of the information
captured in the current OASIS. CMS
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believes that the proposed data elements
are not setting-specific, and that the
testing conducted in their development
has been sufficiently rigorous that we
can adopt the data elements into the
OASIS and the other PAC instruments
with confidence.
After consideration of the public
comments we received, we are
finalizing our proposal to adopt four
new items as standardized patient
assessment data elements in the SDOH
category: one living situation item, two
food items, and one utilities item, and
to modify the ‘‘Transportation’’ item in
section III.D.5. of this rule beginning
January 1, 2027, with the CY 2027 HH
QRP.
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G. HH QRP Quality Measure Concepts
Under Consideration for Future Years—
Request for Information (RFI)
We sought input on the importance,
relevance, appropriateness, and
applicability of each of the following
concepts under consideration for future
years in the HH QRP: vaccinations,
depression, pain management, and
substance use disorders. In the CY 2024
HH PPS proposed rule (88FR 43738
through 43740), we published a request
for information (RFI) (CY 2024 RFI) on
a set of principles for selecting and
prioritizing HH QRP measures,
identifying measurement gaps, and
suitable measures for filling these gaps.
Within this rule, we also sought input
on data available to develop measures,
approaches for data collection,
perceived challenges or barriers, and
approaches for addressing identified
challenges. We refer readers to the CY
2024 HH PPS final rule (88 FR 77772
through 77774) for a summary of the
public comments we received in
response to the RFI.
Subsequently, our measure
development contractor convened a TEP
on December 15, 2023, to obtain input
on the future measure concepts that
could fill the measurement gaps
identified in our CY 2024 RFI.76 The
TEP discussed the alignment of PAC
and Hospice measures with CMS’
‘‘Universal Foundation’’ of quality
measures.77 The Universal Foundation
aims to focus provider attention, reduce
burden, identify disparities in care,
76 The Post-Acute Care (PAC) and Hospice
Quality Reporting Program Cross-Setting TEP
summary report will be published in early summer
or as soon as technically feasible. IRFs can monitor
the Partnership for Quality Measurement website at
https://mmshub.cms.gov/get-involved/technicalexpert-panel/updates for updates.
77 Centers for Medicare & Medicaid Services.
Aligning Quality Measures Across CMS—the
Universal Foundation. November 17, 2023. https://
www.cms.gov/aligning-quality-measures-acrosscms-universal-foundation.
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prioritize development of interoperable,
digital quality measures, allow for
comparisons across programs, and help
identify measurement gaps.
In consideration of the feedback, we
received from interested parties through
these activities, we are seeking input on
four concepts for the HH QRP. One is
a composite of vaccinations,78 which
could represent overall immunization
status of patients such as the Adult
Immunization Status measure 79 in the
Universal Foundation. A second
concept on which we sought feedback is
the concept of depression for the HH
QRP, similar to the Clinical Screening
for Depression and Follow-up
measure 80 in the Universal Foundation.
Third, we sought feedback on the
concept of pain management. Finally,
we seek input on a measure concept
relating to substance use disorders, such
as the Initiation and Engagement of
Substance Use Disorder Treatment
measure 81 included in the Universal
Foundation of Quality Measures.
While we will not be responding to
specific comments in response to the
RFI in this final rule, we invited public
comment on these four measure
concepts and intend to use this input to
inform future measure development
efforts.
1. Composite Vaccination Concept
Some commenters supported a
composite vaccination measure concept,
while most commenters did not support
this concept. Commenters in support of
this measure concept noted that the
measure would support increased
immunization rates. One commenter
noted that a composite vaccination
measure would help bring vaccinations
to homebound individuals, reducing
access barriers, and may encourage
home health agencies to have
conversations with vaccine-skeptical
individuals to share the benefits of
vaccinations in general or one specific
vaccination. This commenter went on to
suggest that a focus on overall
vaccination status is necessary for
beneficiaries who may have long term
78 A composite measure can summarize multiple
measures through the use of one value or piece of
information. More information can be found at
https://www.cms.gov/medicare/quality-initiativespatient-assessment-instruments/mms/downloads/
composite-measures.pdf.
79 CMS Measures Inventory Tool. Adult
immunization status measure found at https://
cmit.cms.gov/cmit/#/FamilyView?familyId=26.
80 Preventative Care and Screening: Screening for
Depression and Follow Up measure found at
https://qpp.cms.gov/docs/QPP_quality_measure_
specifications/CQM-Measures/2023_Measure_134_
MIPSCQM.pdf.
81 Initiation and Engagement of Substance Use
Disorder Treatment measure found at https://
ecqi.healthit.gov/ecqm/ec/2023/cms0137v11.
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health needs, chronic conditions and
vulnerability to infection and disease.
Lastly, the commenter suggested that a
holistic approach is more equitable in
that it can ensure individuals from all
backgrounds are more likely to get a
comprehensive set of vaccines. Several
commenters expressed concerns about a
composite vaccination concept, despite
supporting this as a measure concept.
One suggested that CMS revise the way
rates are measured and reported so that,
for example, a percentage of
beneficiaries who are offered a
vaccination does not convey a false
impression of success. Another
commenter suggested that CMS should
ensure vaccines and combination
products are accessible to providers and
beneficiaries, and noted that home
health agencies may have issues finding
information on beneficiary vaccination
status, nurses may not have time to
administer vaccines, vaccines are costly
to home health agencies, and that
transport of vaccines requiring coldchain and storage may present
operational problems for home health
staff who must spend hours a day on the
road. Among the commenters that did
not support a composite vaccination
concept, most shared additional details.
Most noted that such a measure would
be burdensome to home health agencies
because patient recall may be
unreliable, so the home health agencies
who do not have ready access to
information about patients’ vaccination
status would have to conduct extensive
review of patient’s medical records to
find this information. Some commenters
referred to the December 2023 PostAcute Care (PAC) and Hospice Quality
Reporting Program Technical Expert
Panel, noting that many provider
participants did not support a
vaccination measure concept. One
commenter suggested patients might
consider their vaccination status
sensitive information and be hesitant to
share their status with the home health
staff. One commenter noted multiple
issues home health agencies might
encounter in implementation of such a
measure including the expense of
vaccines, and of ensuring safe
vaccination of homebound patients, and
the expense of controls and equipment
needed to maintain compliance with
controlled temperature chains required
for vaccines, and that once a vial is
opened the entire vial needs to be used
in a specified short time frame that
home health providers may not be able
to achieve, thus wasting multiple doses.
A final concern this commenter
expressed was that providers who
served populations who believe in
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vaccination would have an advantage
over providers who serve populations
with vaccine hesitancy.
clarification about the intent of
reintroducing this type of measure
would be helpful.
2. Depression Concept
The majority of commenters
supported the depression measure
concept, with one commenter noting
that home health already collects this
data, and another commenter noting
that patients who need home healthcare
may be more likely to develop
depression due to their diagnoses,
chronic pain or lack of independence,
and that identifying risk early and
implementing interventions can
improve patient outcomes and quality of
life. A commenter noted that depression
can affect patients’ ability to care for
themselves and provided the example of
evidence-based occupational therapy
interventions to directly impact
depression such as engaging patients in
activities that promote participation in
everyday life, which can help build
resilience, positive psychological and
social functioning and the ability to
adapt to change and cope with life
challenges.
Some commenters did not support the
measure concept for depression. One
commenter noted that home health
clinicians already complete the Patient
Health Questionnaire—9 (PHQ–9) and
are responsible for follow-up with the
provider for patients that screen
positive. Several commenters pointed
out that home health agencies are
limited in options or are not set up to
address depression. A few commenters
noted in addition that significant
resources and infrastructure would be
required for home health agencies to
address depression, and that home
health patients are often discharged
before any outcomes from community
referrals can be realized. These
commenters also suggested that home
health would be limited to a referral to
the patient’s primary care physician for
further interventions, noting that home
health agencies cannot be expected to
provide interventions aimed at directly
treating depression, such as
pharmacological interventions or other
follow-up that involves long-term
planning.
4. Substance Use Disorders Concept
Some commenters expressed support
for the substance use disorder (SUD)
measure concept, while most did not
support this concept. One commenter
shared that their home health agency
has been seeing more patients with this
condition, noting that generally this
population is rejected by home health
agencies due to increased risk of
hospitalization and the tendency not to
make progress quickly. The commenter
encouraged CMS to explore collection of
SUD information and use of this
information for risk-adjusted payments
that would support additional home
health resources. Most commenters did
not support the SUD concept, with most
of those who do not support going on
to note that management of SUD
disorders is out of scope for home
health or that home health agencies are
not set up to manage SUD, which
requires specially trained clinicians.
One of these commenters noted that
because there is no data source
currently available, adding a SUD
measure would add burden to home
health agencies.
Response: We appreciate the input
provided by commenters. While we will
not be responding to specific comments
submitted in response to the RFI in this
final rule, we intend to use this input to
inform future measure development
efforts.
3. Pain Management Concept
Comments in support of a pain
management measure concept
mentioned the relevance of pain
management for home health, and the
impact pain has on all aspects of
patients’ lives. Several commenters
noted that CMS retired a pain
management measure from the HHQRP
in 2020 due to the opioid crisis and
suggested that, given this context,
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IV. The Expanded Home Health ValueBased Purchasing (HHVBP) Model
A. Background
As authorized by section 1115A of the
Act and finalized in the CY 2016 HH
PPS final rule (80 FR 68624), the Center
for Medicare and Medicaid Innovation
(Innovation Center) implemented the
Home Health Value-Based Purchasing
(HHVBP) Model (‘‘original Model’’) in
nine states on January 1, 2016. The
design of the original HHVBP Model
leveraged the successes and lessons
learned from other CMS value-based
purchasing programs and
demonstrations to shift from volumebased payments to a model designed to
promote the delivery of higher quality
care to Medicare beneficiaries. The
specific goals of the original HHVBP
Model were to—
• Provide higher incentives for better
quality care with greater efficiency;
• Study new potential quality and
efficiency measures for appropriateness
in the home health setting; and
• Enhance the current public
reporting process.
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The original HHVBP Model resulted
in an average 4.6 percent improvement
in HHAs’ total performance scores (TPS)
and an average annual savings of $141
million to Medicare without evidence of
adverse risks.82 The evaluation of the
original Model also found reductions in
unplanned acute care hospitalizations
and skilled nursing facility (SNF) stays,
resulting in reductions in inpatient and
SNF spending. The U.S. Secretary of
Health and Human Services determined
that expansion of the original HHVBP
Model will further reduce Medicare
spending and improve the quality of
care. In October 2020, the CMS Chief
Actuary certified that expansion of the
HHVBP Model will produce Medicare
savings if expanded to all States.83
On January 8, 2021, CMS announced
the certification of the HHVBP Model
for expansion nationwide, as well as the
intent to expand the Model through
notice and comment rulemaking.84
In the CY 2022 HH PPS final rule (86
FR 62292 through 62336), we finalized
the decision to expand the HHVBP
Model to all Medicare certified HHAs in
the 50 States, territories, and District of
Columbia beginning January 1, 2022. CY
2022 was a pre-implementation year.
The first payment year is CY 2025 based
on the first performance year which was
CY 2023. Our codified policies for the
expanded HHVBP Model can be found
in our regulations at 42 CFR part 484,
subpart F, §§ 484.300 through 484.375.
B. Request for Information on Future
Performance Measure Concepts for the
Expanded HHVBP Model
The expanded HHVBP Model
provides an opportunity to examine a
broad array of quality measures that
address critical gaps in care. A
comprehensive review of the ValueBased Purchasing (VBP) experience,
conducted by the Office of the Assistant
Secretary for Planning and Evaluation
(ASPE), identified several objectives for
HHVBP measures.85 The recommended
objectives emphasize measuring patient
outcomes and functional status;
appropriateness of care; and incentives
for providers to build infrastructure to
82 https://innovation.cms.gov/data-and-reports/
2020/hhvbp-thirdann-rpt.
83 https://www.cms.gov/files/document/
certificationhome-health-value-based-purchasinghhvbpmodel.pdf.
84 https://www.cms.gov/newsroom/press-releases/
cms-takes-action-improve-home-health-careseniors-announces-intent-expand-home-healthvalue-based.
85 U.S. Department of Health and Human
Services. Office of the Assistant Secretary for
Planning and Evaluation (ASPE) (2014). Measuring
Success in Health Care Value-Based Purchasing
Programs. Cheryl L. Damberg et al. on behalf of
RAND Health.
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facilitate measurement within the
quality framework. The study identified
the following seven objectives which
served as guiding principles for the
development of performance measures
used in the original HHVBP Model:
• Use a broad measure set that
captures the complexity of the HHA
service provided.
• Incorporate the flexibility to
include Improving Medicare Post-Acute
Care Transformation (IMPACT) Act of
2014 measures that are cross-cutting
amongst post-acute care settings.
• Develop second-generation
measures of patient outcomes, health
and functional status, shared decision
making, and patient activation.
• Include a balance of process,
outcome, and patient experience
measures.
• Advance the ability to measure cost
and value.
• Add measures for appropriateness
or overuse.
• Promote infrastructure investments.
A central driver of the process used to
select measures for the original HHVBP
Model was incorporating innovative
thinking from the field while
simultaneously drawing on evidencebased literature and documented best
practices. Broadly, measures were
selected based on their impact on care
delivery and to support the goal of
improving health outcomes, quality,
safety, efficiency, and experience of care
for patients.
As we continue to leverage our valuebased purchasing initiatives to improve
the quality of care furnished across
healthcare settings, we are interested in
considering new performance measures
for inclusion in the expanded HHVBP
Model. We specifically request public
comments on several specific
performance measures as well as general
comments on other future model
concepts that may be considered for
inclusion in the expanded HHVBP
Model. These measures are based on
input from the HHVBP Technical Expert
Panel (TEP), which met in Fall 2023.
The TEP included experts from the
home health setting specializing in
quality assurance, patient advocacy,
clinical work, and measure
development. The meeting included a
discussion of potential measures for
inclusion in the expanded HHVBP
Model. These include a combination of
new measure concepts (for example,
family caregiver measure), already
developed measures that are not
currently in the measure set for the
expanded HHVBP Model (for example,
Medicare Spending per Beneficiary
(MSPB)), and new OASIS-based and
claims-based measures.
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• Family caregiver measure:
Generally, TEP members were very
supportive of future development of a
family caregiver measure. One TEP
member encouraged CMS to ‘‘think
outside the box’’ to find ways of
including the caregiver’s voice in
quality reporting. The TEP discussed
OASIS items that provide information
related to the patient’s caregiver status.
While acknowledging that the focus of
the Medicare home health benefit is the
patient, not the caregiver, they
recommended that CMS consider the
caregiver as a partner and measure
caregivers’ needs and not just the needs
as they relate to the beneficiary. The
TEP noted that the caregivers are often
the reason patients are even able to be
at home (vs. receiving care in the more
costly nursing home setting). CMS
intends to develop a patient-reported
outcome performance measure (PRO–
PM) to assess caregiver burden in the
Guiding an Improved Dementia
Experience (GUIDE) Model that may be
a useful example for caregiver measures
that may be developed for HHVBP.86
Creating one or more measures based on
an HHA’s ability to meet caregiver
needs will permit measurement of
changes in caregiver quality-of-life.
• Falls with major injury (claimsbased): Several TEP members suggested
that CMS explore a claims-based
measure of falls with major injury. One
TEP member noted an Office of
Inspector General (OIG) study that
found that HHAs failed to report 55
percent of falls leading to major injuries
and hospitalizations on their OASIS
data.87 While it may not be possible to
identify all falls from claims data, a
claims-based measure may be more
accurate, although, as with other claimsbased measures, data will only be
available for Fee for Service patients.
Due to the high rate of non-reporting,
the OASIS-based falls measure may not
provide accurate information about the
incidence of these falls.
• Medicare Spending per Beneficiary
(MSPB): The TEP also discussed
potentially adding the MSPB measure to
the HHVBP applicable measure set. This
cross-setting measure is part of the
Home Health Quality Reporting Program
and is currently publicly reported on
Care Compare. MSPB may be a valid
tool for measuring the value of the care
86 For more details on the GUIDE Model, see the
Model web page (https://www.cms.gov/priorities/
innovation/innovation-models/guide). For more
details on the caregiver measures being developed
for GUIDE, see the Request for Applications
(https://www.cms.gov/files/document/guiderfa.pdf).
87 https://oig.hhs.gov/oei/reports/OEI-05-2200290.asp.
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that HHAs provide that may be
appropriate for use in the expanded
HHVBP Model. The measure will
provide information on the efficiency of
home health providers, as measured by
Medicare payments for their patients.
• Function measures to complement
existing cross-setting Discharge (DC)
function measure: Several TEP members
raised a concern that the measure does
not include the full self-care/activities
of daily living elements (for example,
bathing, dressing), which they noted as
critically important for home health
patients and caregivers. Another TEP
member indicated that patients often
already have capacity to do things like
roll and sit up when they enter home
health care but may not be able to bathe
or get dressed without assistance. The
TEP emphasized the importance of
functional cognition, which is included
in OASIS item GG0100 as part of prior
functional status but is not included as
part of the current DC function measure.
As we continue to explore
refinements to the expanded HHVBP
Model, we requested comments related
to adding the potential performance
measures described previously to the
HHVBP Measure Set. We also requested
comments about other potential
performance measures that we should
consider for the expanded HHVBP
Model.
We received the following comments:
Comments: We received generally
positive stakeholder reaction to the
request for information on future
measure concepts for the expanded
HHVBP Model. Commenters also
expressed concerns about each of the
potential measures.
Commenters were generally
supportive of the caregiver burden
assessment measure concept, but
expressed concerns about how to
accurately identify caregivers, how the
data would be utilized, and whether the
data would be used to determine home
care eligibility.
Commenters generally supported the
proposed measures to complement the
DC function measure, particularly
focusing on self-care/ADL measures.
Commenters suggested that CMS
consider using only one set of
assessment items to measure function,
as using a single set of function items
would allow HHAs to focus on coding
accuracy and avoid the confusion
associated with multiple assessment
categories.
The MSPB measure received mixed
comments. Supporters of this measure
believe that it provides information on
the efficiency of home health providers
and would help identify the costs
associated with the delivery of high-
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quality nursing services. Comments that
were critical of the measure stated that
the measure’s focus on spending rather
than quality could create incentives to
omit needed care services.
The falls with major injury measure
received mixed comments. Some
commenters noted that it is claimsbased but noted that the measure
includes only Medicare fee-for-service
(FFS) patients. Others stated that falls
are outside of a home health agency’s
control given that home health services
are provided on an intermittent basis.
Some commenters offered suggestions
for other possible measures to include
in the expanded HHVBP Model,
including advance care planning, access
to palliative care services, timely and
appropriate referral to hospice,
interoperability, the average time
between referral and initiation of care,
follow-up care coordination, and
meaningful measures for patients with
chronic conditions that are not expected
to improve.
Some commenters expressed concerns
about burden and duplicative reporting
with the QRP measures. One commenter
suggested that CMS transition to using
data sources that are not easily
manipulated, such as claims data and
patient experience responses instead of
OASIS-based measures.
Response: We appreciate the
comments that we received on the
request for information. We are not
responding to individual specific
comments submitted in response to the
RFI in this final rule, but these
comments will be reviewed with
stakeholders and the HHVBP TEP that
provide input when considering
changes to the HHVBP applicable
measure set. Any changes to the
applicable measure set will be made
through future rulemaking.
C. Future Approaches to Health Equity
in the Expanded HHVBP Model
In alignment with the President’s
Executive orders 88 to support
underserved communities, CMS is
working to advance health equity by
designing, implementing, and
operationalizing policies and programs
that support health for all the people
served by our programs, eliminating
avoidable differences in health
outcomes experienced by people who
are disadvantaged or underserved, and
providing the care and support that our
enrollees need to thrive. As we continue
88 Executive Orders 13985, ‘‘Advancing Racial
Equity and Support for Underserved Communities
Through the Federal Government,’’ and 14091,
‘‘Executive Order on Further Advancing Racial
Equity and Support for Underserved Communities
Through The Federal Government.’’
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to leverage our value-based purchasing
initiatives to improve the quality of care
furnished across healthcare settings, we
are interested in exploring the role of
health equity in creating better health
outcomes for all populations in our
programs and models. In the CY 2023
HH PPS final rule, we stated that we are
committed to achieving equity in health
care outcomes for beneficiaries by
supporting providers in quality
improvement activities to reduce health
disparities, enabling beneficiaries to
make more informed decisions, and
promoting provider accountability for
health care disparities.89
The CY 2023 HH PPS rule (87 FR
66874 through 66876) included an RFI,
‘‘Future Approaches to Health Equity in
the expanded HHVBP Model.’’ The RFI
requested feedback on policy changes
that we should consider on the topic of
health equity and specific actions the
expanded HHVBP Model should take to
address healthcare disparities and
advance health equity. We specifically
requested comments on whether we
should consider incorporating
adjustments into the expanded HHVBP
Model to reflect the varied patient
populations that HHAs serve around the
country and tie health equity outcomes
to the payment adjustments we make
based on HHA performance under the
Model. One possible approach is to
make adjustments at the measure level
such as stratification by which
additional points are provided to HHAs
that provide care to underserved
communities (for example, based on
dual status or other metrics).90 Payment
adjustments could also be incorporated
at the scoring level in forms such as
modified benchmarks, points
adjustments, or modified payment
adjustment percentages (for example,
peer comparison groups based on
whether the HHA includes a high
proportion of dual eligible
beneficiaries). We requested
commenters’ views on which of these
adjustments, if any, will be most
effective for the expanded HHVBP
Model. Commenters shared that relevant
data collection and appropriate
stratification are very important in
addressing any health equity gaps.
While not suggesting specific
89 https://www.cms.gov/Medicare/QualityInitiatives-Patient-Assessment-Instruments/
QualityInitiativesGenInfo/Downloads/CMS-QualityStrategy.pdf.
90 CMS defines an ‘‘underserved community’’ as
‘‘individuals who share a particular characteristic—
demographic, geographic (urban or rural), or other
factor—that results in them being systemically
denied full opportunity to participate in aspects of
economic, social, and civic life. (Source: https://
www.cms.gov/priorities/innovation/key-concepts/
health-equity)
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88445
approaches, these commenters noted
that CMS should consider potential
stratification of health outcomes.
Stakeholders, including providers, also
shared their strategies for addressing
health disparities, noting that this was
an important commitment for many
health provider organizations.
Several previous studies have found
that historically underserved
communities, including Medicare
beneficiaries who are dually enrolled in
Medicaid, live in a low-income
neighborhood, or are Black, receive
lower quality home health care relative
to communities not historically
underserved.91 Previous studies have
found that patients from underserved
communities have higher rates of
hospital readmissions, are more likely to
be discharged without functional
improvement,92 are less likely to receive
care from high-quality HHAs, and have
worse patient-reported care experiences.
Improving the quality of care for these
underserved communities is an
important quality improvement goal
under the expanded HHVBP Model.
Disparities in health care outcomes
may result from differences within
HHAs (for example, patients from
underserved communities within
certain HHAs service areas are less
likely to have good outcomes, such as
functional improvement, discharge to
community, and avoiding readmission
to a hospital). These disparities may
also result from differences across
HHAs. That is, patients from
underserved communities are less likely
than other patients to receive care from
good quality HHAs and thus at higher
risk of poor outcomes.93 The literature
is mixed on the sources of these
disparities. One study found that
differences in readmission rates for
underserved communities were
primarily within, rather than across,
HHAs.94 Another study found that
91 Joynt Maddox, K.E., Chen, L.M., Zuckerman,
R., & Epstein, A.M. (2018). Association Between
Race, Neighborhood, and Medicaid Enrollment and
Outcomes in Medicare Home Health Care. Journal
of the American Geriatrics Society, 66(2), 239–246.
https://doi.org/10.1111/jgs.15082.
92 Fashaw-Walters, S.A., Rahman, M., Jarrı́n, O.F.,
Gee, G., Mor, V., Nkimbeng, M., & Thomas, K.S.
(2023). Getting to the root: Examining within and
between home health agency inequities in
functional improvement. Health Services Research.
https://doi.org/10.1111/1475-6773.14194.
93 Fashaw-Walters, S.A., Rahman, M., Gee, G.,
Mor, V., White, M., & Thomas, K.S. (2022). Out Of
Reach: Inequities in the Use of High-Quality Home
Health Agencies. Health Affairs (Project Hope),
41(2), 247–255. https://doi.org/10.1377/hlthaff.
2021.01408.
94 Joynt Maddox, K.E., Chen, L.M., Zuckerman,
R., & Epstein, A.M. (2018). Association Between
Race, Neighborhood, and Medicaid Enrollment and
Outcomes in Medicare Home Health Care. Journal
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differences both within and across
HHAs contribute to the overall
disparities in patients’ functional
improvement.95 This same study found
that roughly half of observed individuallevel disparities in the use of highquality home health agencies was
attributable to neighborhood-level
factors.96 Differences in care experience
for underserved communities were
explained by differences both within
and across HHAs, but the within-HHA
variations more often accounted for a
greater proportion of the differences.97
We have been exploring several
potential approaches for integrating
health equity concepts into the
expanded HHVBP Model.
Considerations for evaluating these
approaches include the following:
• Effectiveness: Does the approach
further the model test? What will its
impact on underserved communities be?
• Feasibility: How long will it take to
implement the approach? Are the
necessary data currently being
collected? How many HHAs will be
included?
• Reliability: Does the approach allow
for reliable measurement of health
equity within HHAs?
• Alignment: Is this approach aligned
with other Medicare quality and VBP
Programs?
D. Social Risk Factors
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As part of our work developing
potential equity measures, we are
exploring potential definitions to use for
defining historically underserved
communities. Building on feedback
from other VBP proposals, our analyses
have focused on three potential social
risk factors dual eligible status (DES),
Area Deprivation Index (ADI), and
Medicaid as sole payment source that
can serve as a proxy to identify the
underserved. Note that we also
examined low-income subsidy (LIS) as a
potential measure of equity but did not
include it in further analyses, because
of the American Geriatrics Society, 66(2), 239–246.
https://doi.org/10.1111/jgs.15082.
95 Fashaw-Walters, S.A., Rahman, M., Jarrı́n, O.F.,
Gee, G., Mor, V., Nkimbeng, M., & Thomas, K.S.
(2023). Getting to the root: Examining within and
between home health agency inequities in
functional improvement. Health Services Research.
https://doi.org/10.1111/1475-6773.14194.
96 Fashaw-Walters SA, Rahman M, Gee G, Mor V,
White M, Thomas KS. Out Of Reach: Inequities In
The Use Of High-Quality Home Health Agencies.
Health Aff (Millwood). 2022 Feb;41(2):247–255.
doi: 10.1377/hlthaff.2021.01408. PMID: 35130066;
PMCID: PMC8883595.
97 Joynt Maddox, K.E., Chen, L.M., Zuckerman, R.
and Epstein, A.M. (2018), Association Between
Race, Neighborhood, and Medicaid Enrollment and
Outcomes in Medicare Home Health Care. J Am
Geriatr Soc, 66: 239–246. https://doi.org/10.1111/
jgs.15082.
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the correlation for the DES proportion
and the LIS eligibility proportion is
above 0.98. We also plan to assess
disparities between rural and urban
home health providers and patients
when analyzing social risk factors,
perhaps measuring rurality using the
rural-urban commuting area (RUCA)
codes, which classify U.S. census tracts
using measures of population density,
urbanization, and daily commuting.
E. Approaches to a Potential Health
Equity Adjustment for the Expanded
HHVBP Model
One of the approaches that we have
explored is the Health Equity
Adjustment (HEA) that will begin in the
Skilled Nursing Facility (SNF) VBP
starting with the FY 2027 program year.
The HEA is calculated using a
methodology that considers a SNF’s
performance on the SNF VBP quality
measures and the proportion of the
SNF’s residents with DES. Under the
HEA, SNFs that perform well on the
SNF VBP quality measures and serve a
higher proportion of residents with DES
will earn HEA bonus points are added
to normalized sum of all points a SNF
is awarded for each measure. That sum
is then the final SNF Performance Score.
More information on the HEA can be
found in the FY 2024 SNF PPS final rule
(88 FR 53304).
We used the HEA methodology that
was finalized for the SNF VBP to
simulate how that methodology will
impact the expanded HHVBP Model,
using the current measure set for the
Model and July 2023 Interim
Performance Report (IPR) data. A
limitation of using the July 2023 IPR
data for these analyses is that the TPS
for the July 2023 IPRs was mainly based
on achievement points—there are no
improvement points for the claimsbased and HHCAHPS measures (due to
lags in the data for these measures) and
only small improvement points for the
OASIS-based measures. This may
distort results of the equity implications
of the HEA methodology, but we believe
that using the more current data is
preferable to using earlier data from
prior to the public health emergency.
We used data on the proportion of HHA
patients who are dually eligible at any
point during the performance year. The
HEA methodology is fully described in
the FY 2024 Skilled Nursing Facility
Prospective Payment System final rule
(88 FR 53307 through 53316) that
included—
• Determine number of measures for
which HHA is a top tier performer;
• Calculate measure performance
scaler;
• Calculate underserved multiplier;
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• Calculate HEA Bonus Points; and,
• Add HEA Bonus Points to the
Normalized Sum of all Points Awarded
for Each Measure.
Using the original TPS and a TPS
measure that includes the HEA bonus
points), we simulated payment
adjustment amounts with and without
the HEA. We examined the change in
payment adjustment percentage for
HHAs based on their dual eligibility
status (for example, decile in terms of
percentage of dual eligible patients) and
HEA bonus points.
Of the 10,218 active HHAs in the July
2023 quarterly monitoring analytic file,
9,591 (93.9 percent) have information
on the number of beneficiaries with
dual eligible status (DES) that were
served by the HHA in the performance
year. Of these HHAs, a TPS was
calculated for 7,556. Because the HEA
operates by adding points to the TPS, it
is only possible to calculate a TPS
including the HEA for these 7,556 HHAs
that had a valid TPS.
We found that the average TPS was
higher for HHAs in the highest decile in
terms of share of beneficiaries with DES
than for HHAs in any other decile,
before applying the HEA. Applying the
HEA primarily increased TPS for these
HHAs that were already high
performing, which increased the gap in
the average payment adjustment for
these HHAs and the average payment
adjustment for HHAs serving a lower
share of beneficiaries with DES. As a
result, we concluded that the HEA using
DES as the proxy for the underserved,
as designed for SNF VBP, may not the
best approach for the home health
setting. In contrast, the average TPS was
higher for HHAs with a relatively low
share of beneficiaries living in a
neighborhood with a high ADI.
We also plan to consider how changes
to the definition of the underserved
population, as codified in the SNF VBP
regulatory text at § 413.338(a) will alter
the effects of the HEA. In contrast to the
results for dual eligibility, we have
found that average TPS was lower for
HHAs serving a high share of
beneficiaries living in a neighborhood
with a high ADI. We also found that
HHAs in the highest ADI quintile and
highest DES quintile had lower average
TPS than other groups. These results
suggest that defining the underserved
population using ADI or a combination
of ADI and DES will alter the effects of
the HEA. We are also examining
measures of the underserved population
that are based on the percentage of
patients with Medicaid as the only
payment source.
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F. Other Health Equity Measures
We are also exploring other health
equity measures that will more directly
focus on certain disparities. These could
be structured in several different ways:
• Measure(s) for particular
underserved communities: Performance
on one or more measures for specific
underserved communities (for example,
based on DES).
• Measure(s) based on withinprovider differences in performance for
underserved communities (for example,
based on DES): This type of measure
could be based on a single outcome or
multiple outcomes (that is, a composite
measure).
• Measure(s) based on the worst
performing group: Calculate
performance scores for multiple patient
groups and set the measure performance
equal to the score for the worst
performing group.
We have examined the reportability of
these other health equity measures and
have found that several HHAs will not
have a sufficient number of DES
beneficiaries for these measures to be
calculated. Our analyses of data used for
the July 2023 IPRs found that, overall,
25.4 percent of HHAs served fewer than
12 beneficiaries with DES. This suggests
that roughly one-fourth of HHAs may
not serve enough beneficiaries with DES
to calculate a performance measure
using only beneficiaries with DES. The
percentage of HHAs that served fewer
than 12 beneficiaries with DES or fewer
than 12 beneficiaries without DES was
36.5 percent. Although the reportability
for these measures do exclude some
smaller HHAs that serve fewer
underserved patients, the reportability
level will be closely aligned to the
current SNF VBP HEA. As the 25.4
percent proportion that are not reported
is not that much more than is currently
being excluded on the SNF VBP HEA
where SNFs in the bottom 20 percent of
proportion duals are excluded. The
impact or reportability of a potential
HHVBP HEA needs more analysis for
future consideration.
Looking forward, we recognize that
the exact structure of the current SNF
VBP HEA may not be the most efficient
approach for the unique attributes of
care being provided in the home versus
care in the SNF. However, CMS is
committed to and working towards the
establishment of an HHVBP HEA that
rewards HHAs that provide high quality
care to underserved communities. We
will continue to explore the addition of
other measures, using other proxies for
identifying the underserved and
possibly adjusting the scoring
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mechanism to be more effective at
addressing the issue.
As a reminder, we stated in the CY
2024 HH PPS final rule (88 FR 77790),
we will gather at least 2 years of
performance data, and study effects of
the expanded Model on health equity
outcomes before incorporating any
potential changes to the expanded
Model regarding health equity.
We received the following comments:
Comments: Commenters supported
our efforts to advance health equity
within the expanded HHVBP Model.
Additionally, commenters provided
specific comments, concerns, and
requests related to the expanded
HHVBP Model falling into the following
themes:
While most commenters were
supportive of efforts to incorporate
health equity into the expanded HHVBP
Model, some of the supportive
comments also expressed concerns
about implementation issues including
provider burden of reporting
requirements for equity measures. Some
commenters expressly supported the
adoption of the Health Equity
Adjustment (HEA) used in the SNF VBP
Program in the expanded HHVBP
Model. Other commenters expressed
concern that the expanded HHVBP
Model may exacerbate HHAs’
disincentives to treat some patients. One
commenter suggested that we consider
ways to incentivize agencies who care
for underserved communities and/or
chronically complex patients.
Response: We appreciate the
comments that we received and are
taking these comments into account, as
appropriate, as we continue to work to
develop policies, quality measures, and
measurement strategies on health
equity. We plan to review these
comments with the HHVBP TEP to
provide input to inform development of
health equity quality measures.
V. Medicare Home Intravenous
Immune Globulin (IVIG) Items and
Services
A. General Background
1. Statutory Background
Division FF, section 4134 of the CAA,
2023 added coverage and payment of
items and services related to
administration of IVIG in a patient’s
home of a patient with a diagnosed
primary immune deficiency disease
furnished on or after January 1, 2024.
Division FF, section 4134(a) of the CAA,
2023 amended the existing IVIG benefit
category at section 1861(s)(2)(Z) of the
Act by adding coverage for IVIG
administration items and services in a
patient’s home of a patient with a
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88447
diagnosed primary immune deficiency
disease. This benefit covers items and
services related to administration of
IVIG in a patient’s home of a patient
with a diagnosed primary immune
deficiency disease. In addition, section
4134(b) of Division FF of the CAA, 2023
amended section 1842(o) of the Act by
adding a new paragraph (8) that
established the payment for IVIG
administration items and services.
Under the CAA, 2023 provision,
payment for these IVIG administration
items and services is required to be a
bundled payment separate from the
payment for the IVIG product, made to
a supplier for all items and services
related to administration of IVIG
furnished in the home during a calendar
day.
2. Overview
Primary immune deficiency diseases
(PIDD) are conditions triggered by
genetic defects that cause a lack of and/
or impairment in antibody function,
resulting in the body’s immune system
not being able to function in a normal
way. Immune globulin (Ig) therapy is
used to temporarily replace some of the
antibodies (that is, immunoglobulins)
that are missing or not functioning
properly in people with PIDD.98 The
goal of Ig therapy is to use Ig obtained
from normal donor plasma to maintain
a sufficient level of antibodies in the
blood of individuals with PIDD to fight
off bacteria and viruses. Ig is formulated
for both intravenous and subcutaneous
administration (SCIg). Clinicians can
prescribe either product to the
beneficiary with PIDD according to
clinical need and preference, and
beneficiaries can switch between
intravenous and subcutaneous
administration of Ig.
3. Legislative Summary
Section 642 of the Medicare
Prescription Drug, Improvement, and
Modernization Act of 2003 (Pub. L. 108–
173) amended section 1861 of the Act to
provide Medicare Part B coverage of the
IVIG product for the treatment of PIDD
in the home, but not the items and
services involved with administration.
Section 101 of the Medicare IVIG
Access and Strengthening Medicare and
Repaying Taxpayers Act of 2012
(Medicare IVIG Access Act) (Pub. L.
112–242) mandated the establishment,
implementation, and evaluation of a 3year Medicare Intravenous Immune
Globulin (IVIG) Demonstration Project
(the Demonstration) under Part B of title
98 Perez EE, Orange JS, Bonilla F, et al. (2017)
Update on the use of immunoglobulin in human
disease: A review of evidence; Journal Allergy Clin
Immunol. 139(3S): S1—S46.
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XVIII of the Act. The Demonstration was
implemented to evaluate the benefits of
providing coverage and payment for
items and services needed for the home
administration of IVIG for the treatment
of PIDD, and to determine if it will
improve access to home IVIG therapy
for patients with PIDD. The Medicare
IVIG Access Act mandated that
Medicare establish a per visit payment
amount for the items and services
necessary for the home administration
of IVIG therapy for beneficiaries with
specific PIDD diagnoses. The
Demonstration did not include
Medicare payment for the IVIG product
which continues to be paid under Part
B in accordance with sections 1842(o)
and 1847(A) of the Act. The
Demonstration covered and paid a per
visit payment amount for the items and
services needed for the administration
of IVIG in the home. Items may include
infusion set and tubing, and services
include nursing services to complete an
infusion of IVIG lasting on average three
to five hours.99
On September 28, 2017, Congress
passed the Disaster Tax Relief and
Airport and Airway Extension Act of
2017 (Pub. L. 115–63). Section 302 of
Pub. L. 115–63 extended the
Demonstration through December 31,
2020.
Division CC, section 104, of the
Consolidated Appropriations Act, 2021
(Pub. L. 116–260) further extended the
Demonstration for another 3 years
through December 31, 2023.
Division FF, section 4134 of the CAA,
2023 (Pub. L. 117–328) mandated that
CMS establish permanent coverage and
payment for items and services related
to administration of IVIG in a patient’s
home of a patient with PIDD. The
permanent home IVIG items and
services payment is effective for home
IVIG administration furnished on or
after January 1, 2024. Payment for these
items and services is required to be a
separate bundled payment made to a
supplier for all administration items and
services furnished in the home during a
calendar day. The statute provides that
payment amount may be based on the
amount established under the
Demonstration. The standard Part B
coinsurance and the Part B deductible is
required to apply. In addition, that
statute states that the separate bundled
payment for these IVIG administration
items and services does not apply for
individuals receiving services under the
Medicare home health benefit. The
99 Updated Interim Report to Congress:
Evaluation of the Medicare Patient Intravenous
Immunoglobulin Demonstration Project, 2022:
https://innovation.cms.gov/data-and-reports/2022/
ivig-updatedintrtc.
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CAA, 2023 provision clarifies that a
supplier who furnishes these services
meet the requirements of a supplier of
medical equipment and supplies.
4. Demonstration Overview
Under the Demonstration, Medicare
provided a bundled payment under Part
B, that is separate from the IVIG
product, for items and services that are
necessary to administer IVIG in the
home to enrolled beneficiaries who are
not otherwise homebound and receiving
services under the home health benefit.
The Demonstration only applied to
situations where the beneficiary
required IVIG for the treatment of
certain PIDD diagnoses or was receiving
SCIg to treat PIDD and wished to switch
to IVIG.
Services covered under the
Demonstration were required to be
provided and billed by specialty
pharmacies, enrolled as durable medical
equipment (DME) suppliers, that
provided the Medicare Part B-covered
Ig. The covered items and services
under the Demonstration were paid as a
single bundle and subject to
coinsurance and deductible in the same
manner as other Part B services. HHAs
were not eligible to bill for services
covered under the Demonstration but
could bill for services related to the
administration of IVIG if the patient was
receiving services under a home health
episode of care, in which case the home
health payment covered the items and
services.
In order to participate in the
Demonstration, beneficiaries must have
met the following requirements:
• Be eligible to have the IVIG paid for
at home under Part B FFS.
• Have a diagnosis of PIDD.
• Not be enrolled in a Medicare
Advantage plan.
• Cannot be in a home health episode
of care on the date of service (in such
circumstances, the home health
payment covers the services).
• Must receive the service in their
home or a setting that is ‘‘home like’’.
To participate in the Demonstration,
the beneficiary was required to submit
an application, signed by their
physician.
DME suppliers billing for the items
and services covered under the
Demonstration must have met the
following requirements:
• Meet all Medicare, as well as other
national, state, and local standards and
regulations applicable to the provision
of services related to home infusion of
IVIG.
• Be enrolled and current with the
National Supplier Clearinghouse.
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• Be able to bill the DME Medicare
Administrative Contractors (MACs).
CMS implemented a bundled per visit
payment amount under the
Demonstration, statutorily required to
be based on the national per visit lowutilization payment adjustment (LUPA)
for skilled nursing services used under
the Medicare HH PPS established under
section 1895 of the Act. The payment
amount was subject to coinsurance and
deductible.
For billing under the Demonstration,
CMS established a ‘‘Q’’ code for
services, supplies, and accessories used
in the home:
• Q2052—(Long Description)—
Services, supplies, and accessories used
in the home under Medicare
Intravenous immune globulin (IVIG)
Demonstration.
• Q2052—(Short Description)—IVIG
demo, services/supplies.
Suppliers billed Q2052 as a separate
claim line on the same claim for the
IVIG product.
B. Scope of Expanded IVIG Benefit
As discussed previously, Division FF,
section 4134 of the CAA, 2023 added
coverage of items and services related to
the administration of IVIG in a patient’s
home, to the existing IVIG benefit
category at section 1861(s)(2)(Z) of the
Act, effective January 1, 2024. IVIG is
covered in the home under Part B if all
the following criteria are met:
• It is an approved pooled plasma
derivative for the treatment of primary
immune deficiency disease.
• The patient has a diagnosis of
primary immune deficiency disease.
• The IVIG is administered in the
home.
• The treating practitioner has
determined that administration of the
IVIG in the patient’s home is medically
appropriate.
Therefore, as section 4134(a)(1) of the
CAA, 2023 adds the items and services
(furnished on or after January 1, 2024)
related to the administration of IVIG to
the benefit category defined under
section 1861(s)(2)(Z) of the Act (the
Social Security Act provision requiring
coverage of the IVIG product in the
home), the same beneficiary eligibility
requirements for the IVIG product apply
for the IVIG administration items and
services. Subpart B of part 410 of the
regulations sets out the medical and
other health services requirements
under Part B. The regulations at § 410.10
identify the services that are subject to
the conditions and limitations specified
in subpart B. Section 410.10(y) includes
intravenous immune globulin
administered in the home for the
treatment of primary immune deficiency
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diseases. Section 410.12 outlines
general basic conditions and limitations
for coverage of medical and other health
services under Part B, as identified in
§ 410.10. Section 410.12(a) includes the
conditions that must be met for these
services to be covered, and include the
following:
• When the services must be
furnished. The services must be
furnished while the individual is in a
period of entitlement.
• By whom the services must be
furnished. The services must be
furnished by a facility or other entity as
specified in §§ 410.14 through 410.69.
• Physician certification and
recertification requirements. If the
services are subject to physician
certification requirements, they must be
certified as being medically necessary,
and as meeting other applicable
requirements, in accordance with
subpart B of part 424.
As the definition of IVIG at section
1861(zz) of the Act now includes the
items and services necessary to
administer IVIG in the home, in the CY
2024 HH PPS final rule (88 FR 77793),
we finalized the amendment to the
regulation at § 410.10(y) to add ‘‘items
and services’’. Furthermore, subregulatory guidance documents (that is,
IVIG LCD (33610) 100 and IVIG Policy
Article (A52509) 101) provide direction
on coding and coverage for the IVIG
product at home. Through the Local
Coverage Determination (LCD) for
Intravenous Immune Globulin
(L33610),102 the Durable Medical
Equipment Medicare administrative
contractors (DME MACs) specify the
Healthcare Common Procedure Coding
System (HCPCS) codes for which IVIG
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derivatives are covered under this
benefit. Therefore, a beneficiary must be
receiving one of the IVIG derivatives
specified under the LCD for IVIG to
qualify to receive the items and services
covered under section 1861(s)(2)(Z) of
the Act. Furthermore, for any item
(including IVIG) to be covered by
Medicare, it must—(1) be eligible for a
defined Medicare benefit category; (2)
be reasonable and necessary for the
diagnosis or treatment of illness or
injury or to improve the functioning of
a malformed body member; and (3) meet
all other applicable Medicare statutory
and regulatory requirements. Policy
guidance for the LCD for IVIG 103
identifies the ICD–10–CM codes that
support medical necessity for the
provision of IVIG in the home. These
diagnosis codes are listed in table 27.
TABLE 27: ICD-10-CM CODES THAT SUPPORT MEDICAL NECESSITY
FOR HOME IVIG
Description
Hereditarv hypogammaglobulinemia
Selective deficiency of immunoglobulin A [IgA]
Selective deficiency ofimmunoglobulin G [lgG] subclasses
Selective deficiencv of immunoglobulin M flgMl
Immunodeficiency with increased immunoglobulin M [lgM]
Antibody deficiency with near-normal immunoglobulins or with hyperimmunoglobulinemia
Transient hypogammaglobulinemia of infancy
Severe combined immunodeficiency [SCID] with reticular dysgenesis
Severe combined immunodeficiency [SCID] with low T- and B-cell numbers
Severe combined immunodeficiencv rSCIDl with low or normal B-cell numbers
Purine nucleoside phosphorylase [PNP] deficiency
Major histocompatibility complex class I deficiency
Major histocompatibility complex class II deficiency
Activated Phosphoinositide 3-kinase Delta Syndrome [APDS]
Other combined immunodeficiencies
Combined immunodeficiencv, unspecified
Wiskott-Aldrich syndrome
Di George's syndrome
Hyperimmunoglobulin E flgEl syndrome
Common variable immunodeficiency with predominant abnormalities of B-cell numbers and function
Common variable immunodeficiency with predominant immunoregulatorv T-cell disorders
Common variable immunodeficiency with autoantibodies to B- or T-cells
Other common variable immunodeficiencies
Common variable immunodeficiency, unspecified
Cerebellar ataxia with defective DNA repair
In accordance with this guidance, a
beneficiary must be diagnosed with one
of the primary immune deficiencies
identified by the ICD–10–CM codes, set
out in table 27 and as updated in
subregulatory guidance, to qualify to
receive the items and services covered
under section 1861(s)(2)(Z) of the Act.
This policy guidance is revised as
100 https://www.cms.gov/medicare-coveragedatabase/view/lcd.aspx?LCDId=33610.
101 https://www.cms.gov/medicare-coveragedatabase/view/article.aspx?articleId=52509.
102 Local Coverage Determination (LCD): IVIG
(L33610) https://www.cms.gov/medicare-coveragedatabase/view/lcd.aspx?LCDId=33610&
ContrId=389.
103 https://www.cms.gov/medicare-coveragedatabase/view/article.aspx?articleId=52509.
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Code
D80.0
D80.2
D80.3
D80.4
D80.5
D80.6
D80.7
D81.0
D81.l
D81.2
D81.5
D81.6
D81.7
D81.82
D81.89
D81.9
D82.0
D82.l
D82.4
D83.0
D83.l
D83.2
D83.8
D83.9
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needed by the DME MACs. And finally,
to qualify to receive IVIG in the home,
section 1861(zz) of the Act requires that
a treating practitioner must have
determined that administration of the
IVIG in the patient’s home is medically
appropriate. Accordingly, we updated
the subregulatory guidance pursuant to
the CAA, 2023 to reflect the expansion
of the benefit to the items and services
related to the home administration of
IVIG. Leveraging the existing regulations
and sub-regulatory guidance maintains
one set of standards across the entire
IVIG benefit (that is, for the product and
for the related items and services
needed for home administration).
1. Items and Services Related to the
Home Administration of IVIG
Section 101(c) of the Medicare IVIG
Access Act established coverage for
items and services needed for the inhome administration of IVIG for the
treatment of primary
immunodeficiencies under a Medicare
demonstration program. In the CY 2024
HH PPS final rule, we stated that we
interpreted section 4134 of the CAA,
2023 to make permanent coverage of the
same items and services under the
existing IVIG Demonstration to promote
continuous and comprehensive
coverage for beneficiaries who choose to
receive home IVIG therapy (88 FR
77794). Under the Demonstration, the
bundled payment for the items and
services necessary to administer the
drug intravenously in the home
included the infusion set and tubing,
and nursing services to complete an
infusion of IVIG lasting on average three
to five hours.104 Although ‘‘items and
services’’ are not explicitly defined
under section 4134 of the CAA, 2023,
we stated in the CY 2024 HH PPS
proposed rule (88 FR 43755) that we
believed the items and services covered
under the Demonstration are inherently
the same items and services that will be
covered under the payment added to the
benefit category at section 1861(s)(2)(Z)
of the Act. We also did not enumerate
a list of services that must be included
in the separate bundled payment;
however, we stated that we anticipated
the nursing services will include such
professional services as IVIG
administration, assessment and site
care, and education (88 FR 43755).
Moreover, we stated that it is up to the
provider to determine the services and
supplies that are appropriate and
necessary to administer the IVIG for
104 Updated Interim Report to Congress:
Evaluation of the Medicare Patient Intravenous
Immunoglobulin Demonstration Project, August
2022 found at: https://innovation.cms.gov/dataand-reports/2022/ivig-updatedintrtc.
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each individual, and this may or may
not include the use of a pump. Because
IVIG does not have to be administered
through a pump (although it can be),
external infusion pumps are not covered
under the DME benefit for the
administration of IVIG. An external
infusion pump is only covered under
the DME benefit if the infusion pump is
necessary to safely administer the drug.
The Local Coverage Determination
(LCD) for External Infusion Pumps
identify the drugs and biologicals that
the DME Medicare Administrative
Contractors (MACs) have determined
require the use of such pumps and
cannot be administered via a disposable
elastomeric pump or the gravity drip
method.105 As such, under the IVIG
Demonstration, coverage did not extend
to the DME pump, and thereby, is not
covered separately under the home IVIG
items and services payment.
2. Home IVIG Items and Services and
the Relationship to/Interaction With
Home Health and Home Infusion
Therapy Services
Prior to enactment of the CAA, 2023,
IVIG administration items and services
were explicitly excluded from coverage
under the Part B IVIG benefit. However,
if a beneficiary was considered
homebound and qualified for the home
health benefit, the items and services
needed to administer IVIG in the home
could be covered as home health
services. Section 4134(b) of the CAA,
2023 excludes the IVIG items and
services bundled payment in the case of
an individual receiving home health
services under section 1895 of the Act.
Therefore, we clarified in the CY 2024
HH PPS final rule that a beneficiary
does not have to be considered confined
to the home (that is, homebound) in
order to be eligible for the home IVIG
benefit; however, homebound
beneficiaries requiring items and
services related to the administration of
home IVIG, and who are receiving
services under a home health plan of
care, may continue to receive services
related to the administration of home
IVIG as covered home health services
(88 FR 77794). We also clarified that the
items and services related to the
administration of IVIG in the home, and
as identified on the home health plan of
care, will be included in the payment
for the 30-day home health period
payment. HHAs must provide home
health items and services included on
the plan of care either directly or under
arrangement and must bill and be paid
under the HH PPS for such covered
105 https://www.cms.gov/medicare-coveragedatabase/view/lcd.aspx?LCDId=33794.
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home health services. If an HHA is
unable to furnish the items and services
related to the administration of IVIG (as
indicated in the plan of care) in the
home, they are responsible for arranging
these services (including arranging for
services in an outpatient facility) and
are required to bill these services as
home health services under the HH PPS
(88 FR 77795).
Regarding the home infusion therapy
(HIT) services benefit, we reminded
readers that Medicare payment for home
infusion therapy services is for services
furnished in coordination with the
furnishing of intravenous and
subcutaneous infusion drugs and
biologicals specified on the DME LCD
for External Infusion Pumps
(L33794),106 with the exception of
insulin pump systems and certain drugs
and biologicals on a self-administered
drug exclusion list (88 FR 77794). For
the drugs and biologicals to be covered
under the Part B DME benefit they must
require infusion through an external
infusion pump. If the drug or biological
can be infused through a disposable
pump or by a gravity drip, it does not
meet this criterion. IVIG does not
require an external infusion pump for
administration purposes and therefore,
is explicitly excluded from the DME
LCD for External Infusion Pumps.
However, subcutaneous
immunoglobulin (SCIg) is covered
under the DME LCD for External
Infusion Pumps, and items and services
for administration of SCIg in the home
are covered under the HIT services
benefit. While a DME supplier and a
HIT supplier (or a DME supplier also
enrolled as a HIT supplier) could not
furnish services related to the
administration of immunoglobulin
(either IVIG or SCIg) to the same
beneficiary on the same day, a
beneficiary could potentially receive
services under both benefits for services
related to the infusion of different drugs.
For example, a DME supplier also
accredited and enrolled as a HIT
supplier, could furnish HIT services to
a beneficiary receiving intravenous
acyclovir as well as IVIG, and bill both
the IVIG items and services benefit and
the HIT services benefit on the same
date of service. We also recognize that
a beneficiary may, on occasion, switch
from receiving immunoglobulin
subcutaneously to intravenously and
vice versa, and as such, utilize both the
HIT services and the IVIG items and
106 Local Coverage Determination (LCD): External
Infusion Pumps (L33794) https://www.cms.gov/
medicare-coverage-database/view/lcd.aspx?
LCDId=33794.
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month.
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C. Home IVIG Administration Items and
Services Payment
Section 101 of the Medicare IVIG
Access Act established the authority for
a Demonstration providing payment for
items and services needed for the inhome administration of IVIG. In the CY
2024 HH PPS final rule, we stated that
we believed the provisions established
under that law serve as the basis for the
conditions for payment with respect to
the requirements that must be met for
Medicare payment to be made to
suppliers for the items and services
covered under section 1861(s)(2)(Z) of
the Act and clarified that the relevant
regulations and subregulatory guidance
also apply.
1. Home IVIG Administration Items and
Services Supplier Type
Section 4134(b) of the CAA, 2023
amends section 1842(o) of the Act by
adding a new paragraph (8) that
establishes a separate bundled payment
to the supplier for all items and services
related to the administration of such
intravenous immune globulin, described
in section 1861(s)(2)(Z) of the Act to
such individual in the patient’s home
during a calendar day. Section 4134(c)
of the CAA, 2023 amends section
1834(j)(5) of the Act, which are a
requirement for supplier of medical
equipment and supplies, by adding a
new subparagraph (E), clarifying with
respect to payment, that items and
services related to the administration of
intravenous immune globulin furnished
on or after January 1, 2024, as described
in section 1861(zz) of the Act, are
included in the definition of medical
equipment and supplies. This means
that suppliers that furnish IVIG
administration items and services must
meet the existing durable medical
equipment, prosthetics, orthotics, and
supplies (DMEPOS) supplier
requirement for payment purposes
under this benefit. Suppliers of IVIG
administration items and services must
enroll as a DMEPOS supplier and
comply with the Medicare program’s
DMEPOS supplier standards (found at
42 CFR 424.57(c)) and DMEPOS quality
standards to become accredited for
furnishing medical equipment and
supplies. Further, to receive payment
for home IVIG items and services, the
supplier must also meet the
requirements under subpart A of part
424 (Conditions for Medicare Payment).
The DMEPOS supplier may subcontract
with a provider to meet the professional
services identified in section V.B.1. of
this final rule. All professionals who
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furnish services directly, under an
individual contract, or under
arrangement with a DMEPOS supplier
to furnish services related to the
administration of IVIG in the home,
must be legally authorized (licensed,
certified, or registered) in accordance
with applicable Federal, State, and local
laws, and must act only within the
scope of their State license or State
certification, or registration. A supplier
may not contract with any entity that is
currently excluded from the Medicare
program, any State health care programs
or from any other Federal procurement
or non-procurement programs.
2. Home IVIG Administration
Section 1861(s)(2)(Z) of the Act
defines benefit coverage of intravenous
immune globulin for the treatment of
primary immune deficiency diseases in
the home. Under the IVIG
Demonstration, beneficiaries are eligible
to participate if they receive IVIG
services in ‘‘their home or a setting that
is ‘home like’ ’’.107 Section 410.12(b)
identifies the supplier types who can
furnish the services identified at
§ 410.10. Section 410.38 provides the
conditions for payment for DME
suppliers and identifies the institutions
that may not qualify as the patient’s
home. As such, the home administration
of IVIG items and services must be
furnished in the patient’s home, defined
as a place of residence used as the home
of an individual, including an
institution that is used as a home. An
institution that is used as a home may
not be a hospital, critical access hospital
(CAH), or SNF as defined in § 410.38(b).
D. Home IVIG Items and Services
Payment Rate
1. Payment Rate Update for Home IVIG
Items and Services for CY 2025
Section 1842(o) of the Act provides
the authority for the development of a
separate bundled payment for Medicarecovered items and services related to the
administration of intravenous immune
globulin to an individual in the patient’s
home during a calendar day, in an
amount that the Secretary determines to
be appropriate. This section of the Act
also states payment may be based on the
payment established pursuant to section
101(d) of the Medicare IVIG Access Act.
Section 4134(d) of the CAA, 2023
amends section 1833(a)(1) of the Act to
provide that, with respect to items and
services related to the administration of
IVIG furnished on or after January 1,
107 Intravenous Immune Globulin Demonstration
MLN Fact Sheet: https://www.cms.gov/files/
document/mln3191598-intravenous-immuneglobulin-demonstration.pdf.
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2024, as described in section 1861(zz) of
the Act, the amounts paid shall be the
lesser of the 80 percent of the actual
charge or the payment amount
established under section 1842(o)(8) of
the Act.
In accordance with section 101(d) of
the Medicare IVIG Access Act, the
Secretary established a per visit
Demonstration payment amount for the
items and services needed for the inhome administration of IVIG based on
the national per visit low-utilization
payment amount (LUPA) under the
prospective payment system for home
health services established under
section 1895 of the Social Security Act.
Under the Demonstration, the bundled
payment amount for services needed for
the home administration of IVIG
included infusion services provided by
a skilled nurse. Therefore, the bundled
payment was based on the LUPA
amount for skilled nursing, based on an
average 4-hour infusion. The initial
payment rate for the first year of the
Demonstration, was based on the full
skilled nursing LUPA for the first 90
minutes of the infusion and 50 percent
of the LUPA for each hour thereafter for
an additional 3 hours. Thereafter, the
payment rate was annually updated
based on the nursing LUPA rate for such
year. The service was subject to
coinsurance and deductibles similar to
other Part B services.
We stated in the CY 2024 HH PPS
proposed rule (88 FR 43755), we
believed payment under section
1861(s)(2)(Z) of the Act covers the same
items and services covered under the
IVIG Demonstration. We also agreed that
the professional services needed to
safely administer IVIG in the home will
be services furnished by a registered
nurse (88 FR 43756). Therefore, we
stated that setting the CY 2024 payment
rate for the home IVIG items and
services under section 1861(s)(2)(Z) of
the Act, based on the CY 2023 payment
amount established under the
Demonstration was appropriate.
However, we noted the Demonstration
used the LUPA rate, which is annually
adjusted by the wage index budget
neutrality factor, as well as the home
health payment rate update percentage,
and stated that we believed it was
appropriate to update the CY 2023 IVIG
services Demonstration rate by only the
CY 2024 home health payment rate
update percentage. We stated that we
will not include the wage index budget
neutrality factor, as the IVIG items and
services payment rate is not statutorily
required to be geographically wage
adjusted. Further, although section
1842(o) of the Act states that payment
is for the items and services furnished
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to an individual in the patient’s home
during a calendar day, we stated that, as
the statute aligns the payment amount
with such amount determined under the
Demonstration, we believed the best
reading of ‘‘calendar day’’ is ‘‘per visit.’’
Additionally, we stated that we will
expect a supplier to furnish only one
visit per calendar day (88 FR 43756).
In the CY 2024 HH PPS final rule, we
established a new subpart R under the
regulations at 42 CFR part 414 to
incorporate payment provisions for the
implementation of the IVIG items and
services payment in accordance with
section 1842(o) of the Act for home IVIG
items and services furnished on or after
January 1, 2024. We finalized a policy
at § 414.1700(a), that a single payment
amount is made for items and services
furnished by a DMEPOS supplier per
visit. We finalized a policy at
§ 414.1700(b), setting the initial
payment amount equivalent to the CY
2023 ‘‘Services, Supplies, and
Accessories Used in the home under the
Medicare IVIG Demonstration’’ payment
amount, updated by the CY 2024 home
health update percentage of 3.0 percent.
We also finalized a policy at
§ 414.1700(c) to annually update the CY
2025 home IVIG items and services
payment rate and subsequent years, by
the home health payment rate update
percentage for such year. Therefore, in
the CY 2025 HH PPS proposed rule, we
proposed the CY 2025 home IVIG items
and services payment rate would be the
CY 2024 IVIG items and services
payment rate of $420.48 updated by the
proposed home health payment update
percentage of 2.5 percent ($420.48 *
1.025 = $430.99).
Comment: We received a few
comments on the CY 2025 update of the
home IVIG items and services payment
rate. Overall, commenters remained
supportive of CMS’s implementation of
the home IVIG items and services
benefit, including the payment rate
increase. However, one commenter
stated that the LUPA-based rate
calculation for the IVIG items and
services payment rate undervalues the
nursing and pharmacy services involved
in the provision of home-administered
IVIG. This commenter stated this rate
does not account for costs such as travel
time, dedicated one-on-one nursing, and
other pharmacy-related expenses that
happen remotely. A commenter also
requested CMS publish an annual report
on the home IVIG items and services
benefit, similar to the HIT Monitoring
Report.
Response: The comments regarding
the methodology that established the
initial home IVIG items and services
rate are out of scope of this rule, as this
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policy was finalized in the CY 2024 HH
PPS final rule; however, since the
implementation of the home IVIG
Demonstration Program, CMS has
interpreted the services covered under
this payment to be nursing services
furnished in the patient’s home. Indeed,
the Medicare IVIG Access Act
statutorily required this payment to be
based on the national per visit lowutilization payment adjustment (LUPA)
for skilled nursing services used under
the Medicare HH PPS established under
section 1895 of the Act. In addition,
section 1842(o)(8) of the Act states that
payment may be based on the payment
established pursuant to subsection (d) of
section 101 of the Medicare IVIG Access
and Strengthening Medicare and
Repaying Taxpayers Act of 2012. We
anticipate including a public monitoring
report on the home IVIG items and
services benefit on our Home Infusion
Therapy (HIT)/IVIG web page at https://
www.cms.gov/medicare/payment/feefor-service-providers/home-infusiontherapy once we have sufficient data.
After consideration of the public
comments we received, we are
finalizing the CY 2025 home IVIG items
and services payment rate of $431.83
($420.48 updated by the final home
health payment update percentage of 2.7
percent ($420.48 * 1.027 = $431.83)).
The final home IVIG items and services
payment rate will be posted in the
Billing and Rates section of the CMS’
Home Infusion Therapy (HIT) web page
(found at https://www.cms.gov/
medicare/payment/fee-for-serviceproviders/home-infusion-therapy).
In subsequent years, if CMS does not
intend to propose changes to its
established methodology for calculating
the IVIG items and services payment,
this payment rate will be updated using
CMS’s established methodology via the
Home Health Prospective Payment
System Rate Update Change Request or
Technical Direction Letter (TDL) and
posted on the CMS HIT/Home IVIG
Services web page.108 For more in-depth
information regarding the finalized
policies associated with the scope of the
home IVIG items and services payment,
we refer readers to the CY 2024 HH PPS
final rule (88 FR 77791).
108 https://www.cms.gov/medicare/payment/feefor-service-providers/home-infusion-therapy.
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VI. Home Health Agency Condition of
Participation (CoP) Changes and Long
Term Care (LTC) Facility Requirements
for Acute Respiratory Illness Reporting
A. Home Health Agency CoP Changes
1. Background and Statutory Authority
CMS has broad statutory authority to
establish health and safety standards for
most Medicare- and Medicaidparticipating provider and supplier
types. The Secretary gives CMS the
authority to enact regulations that are
necessary in the interest of the health
and safety of individuals who are
furnished services in an institution,
while other laws, as outlined later, give
CMS the authority to prescribe
regulations as may be necessary to carry
out the administration of the program.
Sections 1861(o) and 1891 of the Act
authorize the Secretary to establish the
requirements that an HHA must meet to
participate in the Medicare Program,
and these conditions of participation
(CoPs) are set forth in regulations at 42
CFR part 484.
The CoPs apply to the HHA as an
entity, as well as to the services
furnished to each individual patient
under the care of the HHA. In
accordance with section 1861(o) of the
Act, the Secretary is responsible for
establishing additional CoPs besides
those set out in the statute that are
adequate to protect the health and safety
of the individuals under HHA care.
Section 1891(c)(2) of the Act establishes
the requirements for surveying HHAs to
determine whether they meet the CoPs.
2. Updates to the Home Health Agency
CoPs To Require HHAs To Establish an
Acceptance-to-Service Policy
(§ 484.105(i))
Admission to HHA services is a
critical step in the process of patients
receiving timely, appropriate care to
meet their needs. In accordance with the
requirements of § 484.105(f)(1), each
HHA must furnish skilled nursing
services and at least one other
therapeutic service (physical therapy,
speech-language pathology,
occupational therapy, medical social
services, or home health aide services)
on a visiting basis and in a place of
residence that is used as a patient’s
home. As such, the services provided by
each HHA vary, creating challenges for
individuals seeking to find the right
HHA to meet their unique care needs.
Likewise, the unique mix of services
provided by an HHA also necessitates
an HHA-specific approach to accepting
referrals for care to ensure that the HHA
is capable of meeting the needs of the
referred patient, in accordance with the
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requirements of § 484.60. Thus, a
timely, appropriate admission process
serves both prospective patients seeking
care and ensures that HHAs accept for
treatment only those patients for whom
there is a reasonable expectation of
being able to meet the patient’s care
needs.
As described in the CY 2025 HH PPS
proposed rule, researchers have found
that timely admission to home health,
and in turn the initiation of services are
key to good home health patient
outcomes. To address concerns
regarding the referral and acceptance
process and their implications for
prospective and current patients, we
proposed to add a new standard at
§ 484.105(i) that would require HHAs to
develop, implement, and maintain an
acceptance-to-service policy that is
applied consistently to each prospective
patient referred for home health care.
We proposed, at § 484.105(i)(1)(i)
through (iv), to require that the policy
be reviewed annually and address, at
minimum, the following criteria related
to the HHA’s capacity to provide patient
care: the anticipated needs of the
referred prospective patient, the HHA’s
case load and case mix, the HHA’s
staffing levels, and the skills and
competencies of the HHA staff. These
proposed elements were designed to
inform an HHA’s assessment of its
capacity and determine its suitability to
meet the anticipated needs of the
prospective patient that has been
referred for HHA services. We also
proposed that the patient acceptance-toservice policy be applied consistently to
ensure that HHAs only accept those
patients for whom there is a reasonable
expectation that the HHA can meet the
referred patient’s needs.
We received a total of 78 comments
from individuals, health care
professionals, national associations and
patient advocacy groups. In the
following section, we discuss the public
comments received on § 484.105(i) that
would require HHAs to develop,
implement, and maintain an
acceptance-to-service policy that is
applied consistently to each prospective
patient referred for home health care.
Comment: A few commenters
supported the proposal for HHAs to
develop, implement, and maintain an
acceptance-to-service policy, with some
observing that acceptance-to-service is
an equity issue and that delays in
finding appropriate care can worsen
outcomes for patients. A commenter
supported the clarification that HHAs
should not accept patients they cannot
serve. However, another commenter
recommended that CMS ensure that the
proposed acceptance-to-service policy
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does not result in the denial of access
to services because the acceptance-toservice policy erroneously indicates that
the HHA is unable to meet a specific
patient’s needs. A commenter stated
that the acceptance-to-service policy
would lead to improved workload
distribution for HHA staff but expressed
concern that HHA administrators may
misrepresent the skills of the staff in
order to accept more patients.
Conversely, other commenters
expressed concern regarding the
proposed policy, suggesting that the
existing requirements already
adequately address patient access to
home health services and that HHAs
would not accept patients to whom they
could not reasonably expect to provide
care. A commenter shared that HHAs
may already use the proposed factors in
determining whether to accept patients
but that maintaining the information in
an appropriate format would add
burden. Commenters stated that the
proposed CoP would not address the
underlying challenges that prevent
HHAs from accepting patients, such as
staffing challenges, patient complexity,
unnecessary work due to referrals being
sent to multiple HHAs, care needs that
are inappropriate for the home setting,
an inability to identify a community
practitioner to oversee patient care, and
challenges in receiving responses to
questions regarding care plans from
referring providers. These commenters
suggested not finalizing the proposed
requirements and proposing different
requirements in the future, with one
commenter recommending that CMS
convene a TEP to better understand the
challenges associated with finding
appropriate home health care.
Response: We appreciate the
commenters support for these new
proposals. While we agree that the
existing CoPs already address some
essential steps in the acceptance and
admission process, we do not agree that
these existing requirements fully meet
the needs of patients. While we
acknowledge the feedback highlighting
the varying underlying challenges that
may prevent HHAs from accepting
patients, as noted by some commenters,
delays in finding appropriate care can
worsen outcomes for patients and
acceptance-to-service may be an equity
issue for patients with complex needs.
The consistent application of an
acceptance-to-service policy to all
referrals, when combined with making
certain information publicly available,
is likely to reduce delays in finding
appropriate care while ensuring that
clinical factors are used to guide
decision making on accepting patients
to HHA service, so as to assure that an
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HHA is prepared to meet each patient’s
care needs.
We also agree with the commenter
that the acceptance-to-service policy
may lead to a better HHA staff workload
distribution as HHAs use a more
deliberative, equally applied approach
in accepting patients for HHA services.
In accordance with the requirements of
§ 484.105, the HHA must organize,
manage, and administer its resources to
attain and maintain the highest
practicable functional capacity,
including providing optimal care to
achieve the goals and outcomes
identified in the patient’s plan of care,
for each patient’s medical, nursing, and
rehabilitative needs. As such, each HHA
should already be well versed in
understanding staff ability and skills,
current workloads and other
circumstances that may affect case load.
These are well established concepts that
we are formalizing within a policy that
we expect will be applied equally and
consistently when evaluating
prospective referred patients. We
appreciate the commenter sharing the
observation that some HHAs have
existing referral policies that reflect
some of the requirements included in
our proposal and that HHAs are already
using these factors in determining
whether to accept patients. We note that
we also received a comment stating that
one HHA accreditation organization
already requires HHAs to have a referral
policy. Therefore, we believe that many
HHAs have existing policies and
procedures that will support
compliance with these new
requirements and minimize the
aggregate initial effort necessary to work
towards compliance.
Comment: A commenter stated that
data collection and reporting for such a
policy will create additional
administrative burden for HHAs. Other
commenters expressed general concerns
about the potential burdens of
developing and maintaining an
acceptance-to-service policy, with one
suggesting that CMS should reimburse
HHAs for the time and effort required to
develop and maintain such policies.
Response: We understand
commenters concerns regarding burden,
specifically, the development and
maintenance of the policy. However, we
believe the benefits to the referred and
current patient, in terms of enabling
more timely care and better outcomes
outweigh the administrative costs of
policy development. Furthermore, as
noted previously, many commenters
have acknowledged existing business
practices that support compliance with
the policy. We encourage HHAs to
leverage their partnerships throughout
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the stakeholder community to gain
exposure to existing practices that could
assist in minimizing facility burden
associated with compliance.
Comment: Some commenters
suggested regarding ways to revise the
proposed policy, such as addressing the
HHA’s ability to provide the required
services, criteria to determine the
patient’s eligibility for care, and
procedures for accepting referrals. A
commenter also stated that appropriate
patient placement with a home health
agency is more nuanced than simply
tracking staffing numbers and general
competencies. The commenter
recommended ensuring HHAs include
nurse input to determine whether a
patient placement within an agency is
possible based on patient acuity and
care levels.
Response: We agree that appropriate
patient placement with a home health
agency is complex and that it is
important that the HHAs have the
appropriate staff input to determine
whether a patient placement within an
agency is possible based on patient
acuity, care levels, and HHA resources.
We acknowledge that the skills and
clinical knowledge of a nurse may be
beneficial to this process. However, we
recognize that there are other clinicians,
such as rehabilitation therapists, that
may be appropriate as well. Therefore,
we believe it is best to allow the HHA
the flexibility to determine which staff
members should be included in this
process. We agree that HHAs should
also consider including criteria to
determine the patient’s eligibility for
care and procedures for accepting
referrals as part of their acceptance-toservice policy to improve their referral
acceptance process. While we agree that
procedures for accepting patient
referrals may fall within the scope of the
CoPs, we do not believe that it is
necessary to add this regulatory
requirement for specific procedures at
this time. We will continue to monitor
the timeliness of patient access to HHA
services and follow-on initial patient
assessment activities to determine
whether such regulations may be
needed in the future.
Comment: A few commenters
expressed concern that CMS did not
discuss how HHAs would be evaluated
for their compliance with the
acceptance-to-service policy. Some of
these commenters stated that HHAs
would have to begin tracking patients
that were referred to their agency but
not accepted for service because
currently HHAs only have data
regarding patients to whom they
provide care. In addition, commenters
expressed concern that this policy
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would focus on access instead of quality
and safety, and that surveyors would
require training to be able to fairly and
consistently evaluate compliance. A
commenter recommended that CMS
collect data regarding patients who are
denied service, and that CMS provide
oversight and enforcement to prevent
HHAs from using capacity as a rationale
for declining to provide service to
patients with chronic or complex needs.
The commenter stated that regulators
could review referral and rejection lists,
and that by analyzing these lists
regulators can identify reasons for
rejections and address those underlying
reasons.
Response: The proposed and final
policies focus on the health and safety
of HHA patients by instituting
regulatory policies that will reduce
avoidable care delays that are known to
increase the risk of hospital
readmissions. We seek to ensure that
eligible patients receive timely care to
reduce the likelihood of these
readmissions and other negative
consequences that may occur when a
patient is referred for home health
services but does not receive timely
care. We expect each HHA to develop
its acceptance-to-service policy taking
into consideration the criteria outlined
in the final CoP. HHAs will be required
to include information regarding the
HHA’s case load and case mix (that is,
the volume and complexity of the
patients currently receiving care from
the HHA), anticipated needs of the
referred prospective patient, the HHA’s
current staffing levels, and the skills and
competencies of the HHA staff. These
elements are designed to inform an
HHA’s assessment of its capacity and
determine its suitability to meet the
anticipated needs of the prospective
patient that has been referred for HHA
services.
While all of a prospective patient’s
needs may not be known at the time of
referral, general information regarding
the patient’s diagnosis and recent
hospitalization (as appropriate), and
specific orders from the patient’s
medical provider should provide a
reasonable basis for HHAs to anticipate
the overall needs of the patient and
determine whether, in light of the
described factors, the prospective
patient is or is not appropriate for the
HHA to accept for service. HHAs will be
assessed for their compliance with the
requirements set forth at § 484.105(i).
Section 484.105(i) does not include a
requirement to track patients that are
not accepted for service nor any other
data collection requirements. HHAs are
encouraged to track this information to
ensure that their services align with the
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needs of the communities they serve.
HHAs may use this data for their quality
assessment and performance
improvement (QAPI) programs to
evaluate the services provided and
examine potential areas of growth to
best meet the needs of their potential
patients. We remind HHAs that they are
required to comply with Title VI of the
Civil Rights Act of 1964, section 504 of
the Rehabilitation Act of 1973, Title II
of the Americans with Disabilities Act,
the Age Discrimination Act of 1975, and
section 1557 of the Affordable Care Act.
Furthermore, interpretive guidance for
the final policy will be released
following the publication of this final
rule and will provide additional
information regarding oversight and
enforcement of the requirements.
Comment: Some commenters shared
that an acceptance-to-service policy for
HHAs would inappropriately place the
entire responsibility for timely initiation
of care on HHAs when this
responsibility is shared between referral
sources and HHAs. The commenter also
stated that there are often
communications gaps between patients,
referral sources, and HHAs which can
lead to wasted time and resources (for
example, a patient being referred to two
HHAs or an HHA which is not notified
when the patient is no longer at home
and has been admitted or readmitted for
inpatient care).
Response: We agree that HHAs are
responsible for their own policies and
procedures and share patient care
responsibilities with the practitioners
that oversee the HHA plan of care. The
acceptance-to-service policy includes
four minimum requirements related to
clinical factors that influence whether
an HHA should accept or decline a
referral to ensure the health and safety
or the referred patient by matching HHA
services to patient needs. Within this
structure HHAs may tailor their policy
to address additional concerns and
procedural delays and challenges that
they typically face in the referral and
acceptance process. It is the
responsibility of the HHA to work with
its referral sources by educating them on
the HHA acceptance-to-service policy
and services the HHA offers with the
goal to minimize the communication
gaps.
Comment: A commenter supported
the statement that acceptance-to-service
should not be based on payment source;
conversely, a few other commenters did
not support this concept. A commenter
expressed that because HHAs lose
money providing care for some patients
they must have a patient load balanced
across payers with higher and lower
payment rates. This commenter also
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expressed that while an HHA may be a
Medicare-certified provider, they may
not be in-network for all MA plans, and
even those for which they are in
network may have lengthy and
complicated prior authorization
processes. This commenter also
expressed concern that the proposal was
intended to improve access for patients
with Medicaid and stated that this is an
inappropriate use of the Medicare CoPs.
Response: In accordance with
§ 484.105, an HHA must organize,
manage, and administer its resources to
provide optimal care to achieve the
goals established in each patient’s
individualized plan of care. When
accepting patients, the primary
consideration of all HHAs must be
whether the HHA has the resources
available to meet the needs of the
prospective patient, so as to avoid
accepting those patients for whom the
HHA does not have a reasonable
expectation of being able to meet the
patient’s needs in their home
environment.
Comment: A commenter stated that it
is not uncommon for an HHA to accept
a patient for whom they cannot provide
sufficient care and that the patient’s
needs may be met by non-profits.
Response: While all of a prospective
patient’s needs may not be known at the
time of referral, general information
regarding the patient’s diagnosis and
recent hospitalization (as appropriate),
and specific orders from the patient’s
medical provider would provide a
reasonable basis for HHAs to anticipate
the overall needs of the patient and
determine whether the prospective
patient is or is not appropriate for the
HHA to accept for service. At § 484.60,
we require HHAs to accept patients for
treatment on the reasonable expectation
that an HHA can meet the patient’s
medical, nursing, rehabilitative, and
social needs in their place of residence.
Therefore, the information the
commenter shared reflects a lack of
compliance with current regulations.
Patients and caregivers may choose to
use additional community services to
augment the services provided by an
HHA, but an HHA may not choose to
provide reduced services for the
convenience of the HHA when the
patient’s need for a higher level of
services remains unchanged. In
accordance with § 484.60, HHAs are
responsible for implementing an
individualized plan of care that
specifies the care and services necessary
to meet the patient-specific needs as
identified in the comprehensive
assessment, and that identifies patientspecific measurable outcomes and goals
identified by the HHA.
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Comment: A commenter stated that
the proposed rule did not provide a
clear definition of ‘‘timely initiation’’
which would be important in evaluating
acceptance-to-service. This commenter
stated that the current definition of
‘‘timely initiation of care’’ is part of the
HH QRP based on OASIS data.
Response: We agree that this term
may be used and defined in other HHA
programs that are not part of the CoPs.
The specific proposed requirement at
§ 484.105(i) did not include the term
‘‘timely initiation’’ and it would not be
appropriate to define in the CoPs a term
that was not used in the CoPs.
Final Rule Action: After consideration
of public comments, we are finalizing
the acceptance-to-service policy at
§ 484.105(i)(1) as proposed.
3. Updates to the Home Health CoPs To
Require HHAs To Make Information
Public on Offered Services and Service
Limitations (§ 484.105(i)(2))
Home health agencies have the ability
to select the services that they furnish
and the geographic areas that they serve.
Knowing which areas are served by an
HHA and which services an HHA does
and does not provide will assist referral
sources, patients, and caregivers
engaged in a search for home health
services in identifying the most suitable
HHA. Likewise, each HHA has
fluctuating staffing levels and staffing
competencies affecting its capacity to
deliver patient care and provide its
typically offered services. Therefore, at
§ 484.105(i)(2) we proposed to require
that HHAs make public accurate
information regarding the services
offered by the HHA, such limitations on
specialty services, service duration, and
service frequency to further inform the
search efforts of all referral sources. We
also proposed that HHAs review this
information at least annually. This will
facilitate the search for an HHA to meet
a patient’s needs, both from clinical
referral sources, and from patients and
caregivers directly seeking care. The
goal is to reduce the delay between the
time when a patient is identified as an
eligible candidate for home health care
and the time when care is initiated by
making key information readily
available, thus improving identification
of HHAs capable of meeting patient
needs. Reducing the time delay would
improve patient outcomes, as longer
delays between referral and the
initiation of HHA care are more likely
to result in adverse outcomes, including
30-day rehospitalizations.
In the following section we discuss
the public comments received and our
responses on proposed § 484.105(i)(2)
which would require HHAs to make
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public accurate information regarding
services offered, service limitations, and
service frequency.
Comment: A few commenters
expressed support with
recommendations for the proposed
requirement for HHAs to make public
accurate, current information on the
services they offer. These commenters
stated that this could expedite
connecting beneficiaries to agencies and
provide meaningful data about which
agencies accept patients with complex
and long-term needs. A commenter
stated that the proposed requirement
will provide useful information about
areas where there may be gaps in HHAs
that provide specific services or are able
to accept complex patients. Likewise, a
commenter noted that the proposed
regulation promotes public transparency
and highlights the importance of timely
initiation of care. A commenter
recommended that the information be
presented in a manner that is userfriendly, and culturally and
linguistically appropriate. Another
commenter recommended additional
information that would be useful for
patients in selecting an HHA, including
languages in which staff are fluent, a
count of staff fluent in each language,
and patient to staff ratios.
Response: We thank commenters for
their support and for highlighting how
this policy will help promote
transparency, ensure timely patient
admission, and thus initiation of HHA
services. We agree with the commenters
that making available information about
the services offered by the HHA and any
limitations on those services may
provide public transparency and
highlights the importance of timely
initiation of care as well as provide
useful information about areas where
there may be gaps in HHAs that provide
specific services. We acknowledge the
importance of providing information in
an accessible manner. We are providing
HHAs with the flexibility to provide
information regarding their services in
multiple formats (for example, Care
Compare). We remind HHAs of their
requirement to comply with section 508
of the Rehabilitation Act when
developing and publishing this
information for the public.
Comment: Several commenters stated
that they did not support the proposed
adoption of an acceptance-to-service
policy requirement because of concerns
that the data could not reasonably be
kept up to date and would therefore not
be able to meaningfully help patients
and referrers identify appropriate HHAs
for care needs. Several commenters
stated that staffing and ability to accept
new referrals changes on a daily basis
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and that changing publicly reported
information that frequently could be
confusing for patients and other
providers. Other commenters
recommended that CMS establish
standards for updating publicly posted
information more frequently than the
proposed annual review of information.
These commenters stated that staffing
levels change regularly and suggested
timeframes for updates such as monthly
or upon a major change in service
abilities. For example, a few
commenters stated that the requirement
to update public information about
acceptance-to-service policies on an
‘‘annual or as necessary’’ basis is not
sufficiently clear. These commenters
recommend that CMS provide more
detail on what would qualify for the ‘‘as
necessary’’ standard. Other commenters
sought additional clarity on how
frequently this information should be
updated and how the information
would be evaluated.
Response: We believe that these
comments are not related to the
acceptance-to-service policy set forth on
proposed § 484.105(i)(1), but to the
proposed requirement at § 484.105(i)(2)
that HHAs would make publicly
available information regarding the
services they offered, and any
limitations related to types of specialty
services, service duration, or service
frequency. We thank commenters for
clarifying how frequently HHA services
are updated or changed. While we
acknowledge the potential challenges of
keeping this information up to date,
failing to do so may contribute to delays
in patients receiving needed home
healthcare that may increase the
likelihood of rehospitalization, as well
as increase the number of dual eligible
patients and other vulnerable
populations at risk for poor outcomes.
According to one study published in
2021, when the initiation of home
health services is significantly delayed
(that is, from 8 to 14 days after
discharge), the odds of rehospitalization
for diabetic patients were four times
greater compared to patients receiving
home health service initiation within 2
days.109 Yet the rate of timely initiation
of home health care varies significantly,
indicating that the referral and
acceptance process is in need of
improvement.
While making this required
information publicly available may
initially present a new challenge for
HHAs, the greater clarity between
HHAs, patients and referral sources may
improve the HHAs relationships with
109 https://www.ncbi.nlm.nih.gov/pmc/articles/
PMC8197411/.
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the community they serve and reduce
instances of avoidable confusion and
delays. To ensure that the information
presented to the public is accurate, we
are revising the policy to require HHAs
to review publicly facing information as
frequently as services are changed, but
no less often than annually. We would
expect HHAs to update the information
regarding their services provided and
service limitations if the HHA
anticipates it will not have a service
available for 3 to 6 months. Changing a
service means the HHA has formally
altered the services it offers, whether by
adding, discontinuing, or temporarily
pausing or restricting a service. For
example, a change in service may
include an employee taking an extended
leave of absence (that is, care for a
family member, recovery from a serious
illness or procedure, maternity leave) or
the addition of a new contract employee
that provides speech language pathology
services, which a HHA may not have
provided before.
Providing the most up to date
information on services provided and
service limitations will allow patients,
their families, and/or their caregiver(s)
to make educated decisions about which
HHA will best meet their physical,
psychosocial, and rehabilitative needs.
HHAs are already required by § 484.105
to document, in writing, the services
that they furnish. The governing body is
responsible for assuring that this is done
as part of their oversight responsibilities
set forth in § 484.105(a). As such, we
would expect to see evidence of
governing body decision making on the
services offered, corresponding
revisions to the written list, and
corresponding updates to its public
facing information. After publication of
this final rule, CMS will provide
additional guidance on enforcement
through memoranda and updates to the
State Operations Manual (Pub. 100–07),
as needed.
Comment: A commenter expressed
concern that the policy may prohibit
HHAs from accepting patients that they
would be able to serve given their actual
staffing, but that their published
acceptance-to-service policy would
indicate that they could not serve.
Response: The information about
services and limitations made publicly
available would in no way prohibit an
HHA from accepting a referral. Referral
acceptance is governed by the HHAs
acceptance-to-service policy set forth in
§ 484.105(i)(1), which requires HHAs to
develop and implement a policy based
on specified clinical factors to ensure
that HHAs only accept those patients for
whom they have a reasonable
expectation of being able to meet the
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patient’s care needs in their home
environment.
Comment: A commenter stated that
providing information regarding an
HHA’s capacity on a public website
would not provide meaningful
information to patients because home
health referrals must be completed by a
medical professional and therefore
patients and their families would not be
able to self-refer to such a provider.
Response: We did not propose, nor
are we finalizing, a requirement for
HHAs to post information regarding
their capacity on a website. Rather, we
proposed and are finalizing a
requirement that HHAs make publicly
available information regarding the
services that they offer and limitations
on those services, such as offering
nursing services but not advanced
wound care services as a specialty. The
capacity of an HHA to deliver care to a
referred patient is accounted for in the
internal policy that HHAs will develop
and use when making acceptance-toservice decisions. By accounting for the
referred patient’s anticipated needs and
considering the HHA’s available
resources, HHAs will self-assess their
capacity to serve the referred person and
ensure their health and safety.
We do not agree with the suggestion
that patients and families are not
involved in identifying available HHA
care. While the official home health
referral is completed by a medical
professional, many patients and their
family members face the task of seeking
out home health care to facilitate the
official referral process. If a patient’s
practitioner decides they need home
health care, the patient has the right to
participate in choosing the home health
agency to meet their care needs. While
patients have choice, those choices may
be limited based on the services offered
by HHAs, limitations on those services,
insurance type, and other factors.110
Patients and caregivers have recounted
conducting their own searches for care,
often with great difficulty. This
population has unique needs and
circumstances needs that may make
finding the right HHA challenging, and
they may not have access to information
needed to target their search for an HHA
in an effective and efficient manner.
Patients from community-based referral
sources tend to be Medicaid recipients,
have cognitive impairments, and are
more socially vulnerable than patients
admitted from acute care. Additionally,
they tend to have received 80 or more
hours per month of family caregiver
assistance prior to their acceptance to
110 https://www.cms.gov
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HHA services.111 Encouraging patients
and their family members and/or
caregiver(s) to be more active
participants in decision making
improves patient outcomes.112
Comment: Several commenters did
not support a requirement to publicly
post information regarding a HHA’s
acceptance-to-service policies because
many HHAs already post these data on
their websites. Some commenters also
stated that information about services
provided is available on the CMS Care
Compare website and recommended
this as the appropriate location for
information about agency services. A
commenter recommended linking HHA
websites to their information on the
Home Health Compare website to
improve the ease of finding additional
information about these organizations.
A commenter stated that CMS posts
similar information regarding hospice
providers and stated that CMS can track
and post these data for HH providers as
well.
Response: To clarify, we are not
requiring HHAs to publicly post
information regarding an HHAs
acceptance-to-service policy. The
acceptance-to-service policy is for an
agency’s internal use and is intended to
compliment any current policies and
procedures HHAs may use for tracking
referrals and assessing the suitability of
the referral relative to the HHA’s
capacity. Instead, HHAs will be required
to publicly post information regarding
their services offered and the limitations
of these services. CMS recognizes that
some of the information about services
offered may be available on Care
Compare. Care Compare is designed to
be an easy-to-access, convenient source
of information about provider
quality.113 HHAs may use Care Compare
to facilitate compliance with this
requirement.
Alternatively, providing information
regarding an HHA’s service through its
website may also facilitate compliance
with this requirement. HHAs thus have
flexibility in achieving compliance with
this requirement to ensure that public
facing information regarding services
offered by an HHA are available. As
previously discussed, we remind HHAs
of their requirement to comply with
section 508 of the Rehabilitation Act to
111 Social Vulnerability and Medical Complexity
Among Medicare Beneficiaries Receiving Home
Health Without Prior Hospitalization, Julia G.
Burgdorf, Ph.D., Tracy M. Mroz, OTR/L, Ph.D., and
Jennifer L. Wolff, Ph.D. Innovation in Aging, 2020,
Vol. 4, No. 6, 1–9 doi:10.1093/geroni/igaa049.
112 https://www.ahrq.gov/health-literacy/
professional-training/shared-decision/tool/
resource-9.html.
113 https://www.cms.gov/medicare/quality/homehealth/home-health-star-ratings.
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ensure that publicly facing information
is accessible.
Comment: A commenter stated that
publicly posting information regarding
services offered will have minimal
benefit because this information will not
address individual patient specific
circumstances and therefore may still
not provide patients information
regarding whether the HHA would be
able to address their needs.
Response: The posting of the services
provided by an HHA, and any service
limitations aims to increase
transparency and allow patients and
their caregiver(s) to make informed
decisions when selecting an HHA,
including the ability to speed their
search by eliminating those HHAs that
do not offer the services the patient
needs or whose limitations on services
make the HHA an unsuitable match.
This allows patients and their family
members and/or caregiver(s) to have a
better understanding of what HHA may
best fulfill their needs and efficiently
focus their efforts to achieve a timely
admission and initiation of HHA care,
thus benefitting the patient’s health and
safety.
Comment: A commenter
recommended that instead of publishing
information regarding services provided
and capacity, HHAs should be required
to disclose any known delays to the
services ordered on referral prior to
admission.
Response: We are not requiring HHAs
to publish information regarding
capacity, however, this policy does not
prevent HHAs from doing so. Section
484.105(i)(1) requires the HHA address
criteria related to their capacity, which
includes anticipated needs of the
referred prospective patient, case load
and case mix, staffing levels of the HHA,
and skills and competencies of the HHA
staff. Requiring HHAs to publish this
information may be too burdensome, as
these variables may change often. We
are requiring HHAs to share information
with the public regarding limitations
related to specialty services, service
duration, or service frequency. In
accordance with § 484.60, we would
expect HHAs to only accept patients
that they are able to meet the medical,
rehabilitative, nursing, and social needs
of. Additionally, § 484.60(a)(2)(iv)
requires the individualized plan of care
to include the frequency and duration of
visits to be made. As previously
discussed, § 484.55(a)(1) requires the
initial assessment visit to be held within
48 hours of referral, or within 48 hours
of the patient’s return home, or on the
physician or allowed practitionerordered start of care date.
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Final Rule Action: After consideration
of public comments, we are finalizing
the acceptance-to-service policy with
revisions. Specifically, we are updating
the frequency with which HHAs must
review the publicly facing information
regarding their services provided and
any service limitations to ensure this
information is up to date and accurate.
Specifically, we are revising
§ 484.105(i)(2), to require HHAs to
review the publicly facing information
as frequently as services are changed,
but no less often than annually.
4. Request for Public Comments
In the proposed rule we requested
additional feedback of topic areas
related to the acceptance-to-service
policy. Specifically, we requested
comment on alternative ways to address
the delay of home health care initiation,
barriers for patients with complex needs
to find and access HHAs, and other
opportunities to improve transparency
regarding home health patient
acceptance policies to better inform
referral sources. We also requested
public comment regarding other ways to
improve the referral process for referral
sources, patients, and HHAs.
Many of the commenter’s suggestions
overlapped with the comments received
for the proposed acceptance-to-service
policy and the RFI on ‘‘Plan of Care
Development and Scope of Services.’’
We categorized the comments into key
themes, as follows: alternative ways to
address delays, improved referral
process, and overall plan of care
development/scope of service. A few
commenters suggested CMS focus on
improving the establishment of the plan
of care as part of the referral process.
While other commenters suggested CMS
engage clinicians to gain greater insight
on what is happening in the field and
using claims-based measures to gather
data, educating hospital discharge
planners to improve pre-discharge
communications with patients and
caregivers, and evaluating the impact of
PDGM on HHAs. We appreciate to wide
variety of comments received on the
question and may use this feedback to
inform additional rulemaking.
5. Out of Scope
Comment: Some commenters
recommended increasing the focus on
supporting HHAs by requiring that all
payer processes for recoupments,
vendor holds, undisclosed rate
decreases and claim payment denials be
made transparent by payer sources who
frequently disrupt the financial
operations of HHAs.
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Response: The CoPs do not regulate
payer processes; therefore, this
suggestion is out of scope for the CoPs.
Comment: A few commenters
recommended reinforcing the
importance of timely initiation of
service by adopting an initiation of care
measures in the HHVBP program.
Response: The HHVBP is not within
the scope of the HHA CoPs; therefore,
we are not accepting this suggestion.
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B. Long-Term Care (LTC) Requirements
for Acute Respiratory Illness Reporting
1. Background
Under sections 1866 and 1902 of the
Act, providers of services seeking to
participate in the Medicare or Medicaid
program, respectively, must enter into
an agreement with the Secretary or the
State Medicaid agency, as appropriate.
Long-term care (LTC) facilities seeking
to be Medicare and Medicaid providers
of services must be certified as meeting
Federal participation requirements. LTC
facilities include skilled nursing
facilities (SNFs) for Medicare and
nursing facilities (NFs) for Medicaid.
The Federal participation requirements
for SNFs, NFs, and dually certified
facilities, are set forth in sections 1819
and 1919 of the Act and codified in the
implementing regulations at 42 CFR part
483, subpart B.
Sections 1819(d)(3) and 1919(d)(3) of
the Act explicitly require that LTC
facilities develop and maintain an
infection control program that is
designed, constructed, equipped, and
maintained in a manner to protect the
health and safety of residents,
personnel, and the general public. In
addition, sections 1819(d)(4)(B) and
1919(d)(4)(B) of the Act explicitly
authorize the Secretary to issue any
regulations he deems necessary to
protect the health and safety of
residents. Continuous and systematic
collection of data is an essential
component of any infection control
program, as the data provides
information about potential health
threats and enables prevention planning
to mitigate severe health outcomes. LTC
facility residents are vulnerable to
infection from SARS–CoV–2 because of
chronic health conditions,
immunosenesence, and residence in a
communal living setting. Vaccination
provides protection against infection but
does not eliminate the risk of acquiring
SARS–CoV–2. Epidemiologic data from
the CDC’s National Healthcare Safety
Network (NHSN) indicate that weekly
COVID–19 cases continue to follow the
general surge patterns of 2020 to 2023,
despite the vaccination status of the
nursing home population. Additionally,
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the U.S. population remains at risk of
increased infection incidence and
adverse outcomes as additional SARS–
CoV–2 strains continue to emerge, and
immunity induced by COVID–19
vaccines wane. As such, in alignment
with the sections 1819(d)(3), 1919(d)(3),
1819(d)(4)(B), and 1919(d)(4)(B) of the
Act, we proposed to establish the
ongoing collection of a set of data
elements necessary to quickly identify
threats to resident health and safety and
initiate requisite responses.
Infection prevention and control in
LTC facilities was especially important
during the COVID–19 PHE. Under the
explicit instructions of Congress,
existing regulations at § 483.80 require
facilities to, among other things,
establish and maintain an infection
prevention and control program (IPCP)
designed to provide a safe, sanitary, and
comfortable environment and to help
prevent the development and
transmission of communicable diseases
and infections. The COVID–19 PHE
placed enormous strain on the Nation’s
healthcare systems, requiring LTC
facilities nationwide to take
extraordinary measures in the face of
staff shortages, and the scarcity of
personal protective equipment (PPE)
and critical supplies. Protecting
residents in these circumstances
demanded that we have better visibility
and data on the spread and impact of
COVID–19 in the Nation’s LTC facilities.
In response, CMS issued an evolving
series of requirements to obtain those
data through several interim final rules
with comment period (IFCs) during the
height of the PHE and subsequent final
rules to support ongoing efforts to
monitor and protect residents against
COVID–19. When the CDC started
collecting COVID–19 case data on a
national scale in LTC facilities we began
to understand the epidemiological
trends of COVID–19 disease in LTC
facility residents. The data highlighted
how LTC facilities played a large role in
viral transmission and that LTC facility
residents were disproportionally
impacted by COVID–19 compared to
community dwelling adults. Even after
the end of the PHE, national data
collected in LTC facilities has shown
that LTC facility residents continue to
be impacted by COVID–19 at higher
rates than older adults in the
community and are more likely to
develop severe outcomes. Continuing to
understand trends of COVID–19 and
other significant respiratory diseases
(for example, RSV, Influenza) in the
LTC facility population is critical to
understanding the burden of respiratory
viruses on the country.
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First, on May 8, 2020, we issued a IFC
titled ‘‘Medicare and Medicaid
Programs, Basic Health Program, and
Exchanges; Additional Policy and
Regulatory Revisions in Response to the
COVID–19 Public Health Emergency
and Delay of Certain Reporting
Requirements for the Skilled Nursing
Facility Quality Reporting Program’’ (85
FR 27550), which revised the infection
prevention and control requirements for
LTC facilities to more effectively
respond to the specific challenges posed
by the COVID–19 pandemic.
Specifically, this May 2020 IFC added
provisions to require facilities to
electronically report information related
to confirmed or suspected COVID–19
cases to the Centers for Disease Control
and Prevention (CDC) and required
facilities to inform residents and their
representatives of confirmed or
suspected COVID–19 cases in the
facility among residents and staff.
Second, on September 2, 2020, we
issued a IFC titled ‘‘Medicare and
Medicaid Programs, Clinical Laboratory
Improvement Amendments (CLIA), and
Patient Protection and Affordable Care
Act, Additional Policy and Regulatory
Revisions in Response to the COVID–19
Public Health Emergency’’ (85 FR
54873). This September 2020 IFC set out
provisions regarding testing for COVID–
19 in LTC facilities, including
documentation requirements and
protocols specifying actions to be taken
if a resident or staff member tests
positive. On May 13, 2021, we issued
another IFC titled ‘‘Medicare and
Medicaid Programs; COVID–19 Vaccine
Requirements for Long-Term Care (LTC)
Facilities and Intermediate Care
Facilities for Individuals with
Intellectual Disabilities (ICFs-IID)
Residents, Clients, and Staff’’ (86 FR
26306), which further revised the
infection control requirements that LTC
facilities and intermediate care facilities
for individuals with intellectual
disabilities (ICFs-IID) must meet to
participate in the Medicare and
Medicaid programs. This May 2021 IFC
aimed to reduce the spread of SARS–
CoV–2 infections, the virus that causes
COVID–19, by requiring education
about COVID–19 vaccines for LTC
facility residents, ICF–IID clients, and
staff serving both populations, and by
requiring that such vaccines, when
available, be offered to all residents,
clients, and staff. It also required LTC
facilities to report COVID–19
vaccination status of residents and staff
to CDC.
To retain the data reporting
requirements after the end of the PHE,
on November 9, 2021, we subsequently
published a final rule titled ‘‘CY 2022
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Home Health Prospective Payment
System Rate Update; Home Health
Value-Based Purchasing Model
Requirements and Model Expansion;
Home Health and Other Quality
Reporting Program Requirements; Home
Infusion Therapy Services
Requirements; Survey and Enforcement
Requirements for Hospice Programs;
Medicare Provider Enrollment
Requirements; and COVID–19 Reporting
Requirements for Long-Term Care
Facilities’’ (86 FR 62440, 62421), which
finalized the COVID–19 data reporting
requirements from the May 2020 and
May 2021 IFCs. Specifically, in this
November 2021 final rule, we revised
the requirements at § 483.80(g)(1)(i)
through (ix), to reduce the burden on
the LTC facilities by allowing for a
reduced frequency of reporting (weekly
unless the Secretary specified a lesser
frequency) and modified the specific
data elements to be reported. The
November 2021 final rule stated that
until December 31, 2024, facilities
would be required to report
electronically, in a standardized format
specified by the Secretary, information
on suspected and confirmed COVID–19
infections among residents and staff,
including residents previously treated
for COVID–19, total deaths and COVID–
19 deaths among residents and staff,
personal protective equipment and hand
hygiene supplies in the facility,
ventilator capacity and supplies
available in the facility, resident beds
and census, access to COVID–19 testing
while the resident is in the facility, and
staffing shortages. In addition, on an
ongoing basis with no sunset date,
facilities are required to report
information on resident and staff
vaccination status for COVID–19 (86 FR
62421).
Finally, on June 5, 2023, we issued a
final rule titled ‘‘Medicare and Medicaid
Programs; Policy and Regulatory
Changes to the Omnibus COVID–19
Health Care Staff Vaccination
Requirements; Additional Policy and
Regulatory Changes to the Requirements
for LTC Facilities and ICF–IIDs to
Provide COVID–19 Vaccine Education
and Offer Vaccinations to Residents,
Clients, and Staff; Policy and Regulatory
Changes to the LTC Facility COVID–19
Testing Requirements’’ (88 FR
36485).114 This June 2023 final rule
removed expired language addressing
COVID–19 testing requirements issued
in the September 2020 IFC, withdrew
requirements mandating COVID–19
vaccinations for staff (see 86 FR 61555
114 June 2023 Final Rule. https://
www.govinfo.gov/content/pkg/FR-2023-06-05/pdf/
2023-11449.pdf.
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for details regarding the IFC that issued
the requirements 115), and finalized
requirements issued in the May 2021
IFC for facilities to provide education
about vaccines and to offer COVID–19
vaccines to residents and staff.
turnover, that are ever-present, but were
greatly exacerbated during the COVID–
19 PHE, make it even more challenging
to provide quality care and to
implement infection practices
effectively and consistently,
demonstrating the need for timely and
2. The Benefits of and Ongoing Need for
actionable surveillance.121
LTC Facility Respiratory Illness and
The COVID–19 PHE highlighted the
Vaccination Data
value and potential utility of greater
There are over 1.3 million older
integration between public health and
adults aged 65 years and older living in
health care, particularly when data are
LTC facilities in the United States; and
available to direct collaborative actions
while LTC facility residents make up
that support patient, resident, and
less than 0.5 percent of the population
public health and safety. Data from
in the U.S., they were estimated to
health care providers, including LTC
account for between 23 percent and 40
facilities, remain a key driver to identify
percent of deaths due to COVID–19 in
and respond to patient, resident, and
the first two years of the COVID–19
public health threats, yet health care
PHE.116 117 Older residents are at greater and public health data systems have
risk for both developing COVID–19 and
long persisted on separate, often poorly
other respiratory illnesses (for example, compatible tracks.122 The COVID–19
influenza, RSV) and for developing a
PHE also highlighted the importance of
protracted course of disease.118 Agetaking a broader view of patient and
associated changes in immune function
resident safety—one that recognizes
(that is, immunosenecense) can increase patient and resident safety is
susceptibility to infection and decrease
determined not only by what is
response to vaccination. Additionally,
happening at the bedside, but also what
older adults often have multiple cois happening, in the facility as a whole,
morbidities leading to increased
in neighboring facilities (for example,
morbidity and mortality when coupled
individuals moving between hospitals
with a respiratory tract infection.119 The and LTC facilities and health care
congregate setting of LTC facilities can
providers working in multiple
also increase risk of disease
facilities), and across the region, State,
transmission given the proximity of
and county. The value of this broader
residents. In addition, providing care for view was particularly evident from the
residents often involves close-contact
experience of LTC facilities, where
activities (for example, dressing,
systematic communicable disease and
bathing) and the same health care
vaccination surveillance had never been
personnel provide care to residents
integrated.
across different rooms and shared
For the first time, during the COVID–
spaces. This readily facilitates
19 PHE, the nation had a real-time
transmission of respiratory viruses in
comprehensive picture of a disease, its
this setting.120 Furthermore, LTC facility vaccine, and its impact in the nearly
staffing shortages and consistent staff
16,000 U.S. LTC facilities because of
data reported to the CDC’s NHSN
115 COVID–19 Health Care Staff Vaccination
application. Ultimately, access to this
Interim Final Rule. https://www.federalregister.gov/
information proved critical to providing
documents/2021/11/05/2021-23831/medicare-andresources and supporting coordinated
medicaid-programs-omnibus-covid-19-health-careaction by facilities, health systems,
staff-vaccination.
116 Grabowski DC, Mor V. Nursing Home Care in
communities and jurisdictions in
Crisis in the Wake of COVID–19. JAMA.
responding to the PHE and protecting
2020;324(1):23. doi:10.1001/jama.2020.8524.
the health, safety and lives of LTC
117 Chidambaram P. Over 200,000 Residents and
facility residents. The resources made
Staff in Long-Term Care Facilities Have Died From
available during the PHE response
COVID–19. Kaiser Family Foundation. Published
online February 3, 2022. https://www.kff.org/policy- helped build resilience in some parts of
watch/over-200000-residents-and-staff-in-longthe health care system, but the
term-care-facilities-have-died-from-covid-19/.
pandemic also exacerbated sources of
118 The New York Times. Nearly One-Third of
fragility that continue to leave the
U.S. Coronavirus Deaths Are Linked to Nursing
Homes. https://www.nytimes.com/interactive/2020/
United States underprepared to respond
us/coronavirus-nursing-homes.html. Published June to surges—even relatively typical ones.
1, 2021.
COVID–19 and other respiratory illness
119 Vital and Health Statistics, Series 3, Number
47 (cdc.gov) (https://www.cdc.gov/nchs/data/series/
sr_03/sr03-047.pdf).
120 Morbidity and Mortality Weekly Report
(MMWR), Rates of COVID–19 Among Residents and
Staff Members in Nursing Homes—United States,
May 25–November 22, 2020 (cdc.gov) (https://
www.cdc.gov/mmwr/volumes/70/wr/pdfs/
mm7002e2-H.pdf).
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121 Infection prevention and control in nursing
homes during COVID–19: An environmental scan—
PMC (nih.gov) (https://www.ncbi.nlm.nih.gov/pmc/
articles/PMC8810224/).
122 Vital and Health Statistics, Series 3, Number
47 (cdc.gov) (https://www.cdc.gov/nchs/data/series/
sr_03/sr03-047.pdf).
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case, hospitalization, and vaccination
data together provide critical situational
awareness for regional and State
leadership to inform a national strategy
in response to the ongoing public health
threat that respiratory illnesses
including COVID–19 pose to residents.
In the proposed rule, we provided a
detailed discussion regarding the data
produced by the respiratory illness
reporting requirements for LTC facilities
and how the insight provided by the
data collected positively impacted
resident health and safety by guiding
actions to reduce the prevalence of
respiratory illnesses through enhanced
planning, technical assistance, resource
allocation, and coordination at the
facility, local, State, and Federal levels.
We encourage readers to refer to the
proposed rule for this detailed
discussion (89 FR 55404–55406).
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3. Provisions of the Proposed
Regulations and Analysis and Response
to Public Comments
In response to the proposed rule, we
received 73 total comments from
industry commenters, such as national
associations, leadership, and facility
staff. We received very few comments
from advocacy organizations and no
comments from anyone identifying
themselves as residents or family
advocates. In this final rule, we provide
a summary of the proposed provisions,
a summary of the public comments
received, and our responses to them,
and an explanation for changes in the
policies we are finalizing.
a. Continuation of Respiratory Illness
Reporting for LTC Facilities
Given the value of respiratory illness
and vaccination reporting during the
COVID–19 PHE in supporting resident
health and safety, we considered the
continued utility of LTC facility
respiratory illness data to monitor and
protect residents against respiratory
illnesses and the ongoing need for such
data in the ‘‘new normal’’ of diverse
respiratory disease threats. While the
COVID–19 PHE has ended, SARS–CoV–
2 continues to circulate throughout the
globe and although epidemic waves are
less severe than those of 2020 through
early 2022, there was no epidemiologic
bright line associated with the end of
the PHE. While COVID–19 hospital
admissions were modestly lower in
January 2024 than they were at the July
2022 or December 2022 peaks,123 adults
65 years and older represented more
than half of COVID–19 hospitalizations
during October 2023 to December
123 https://covid.cdc.gov/covid-data-tracker/
#trends_weeklyhospitaladmissions_select_00.
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2023.124 Additionally, during the 2023–
2024 fall/winter respiratory virus
season, COVID–19–associated
hospitalizations among LTC facility
residents peaked at a weekly rate that
was more than eight times higher than
the peak weekly rate among all U.S.
adults aged ≥70 years.125 At the same
time, other respiratory viruses have also
seen a resurgence, and the moderate
COVID–19 burden coinciding with
resurgent influenza and RSV has led to
an overall hospitalization burden larger
than observed during severe influenza
and RSV seasons prior to the COVID–19
pandemic.126
The elevated risks of respiratory
viruses in the post-PHE era present
ongoing threats, both direct and
indirect, to resident health and safety.
As such, we proposed to continue some
of the reporting requirements finalized
in November 2021 and set to expire in
December 2024. Specifically, we
proposed to revise the infection
prevention and control requirements for
LTC facilities to extend reporting in
NHSN for a limited subset of the current
COVID–19 elements and also require
reporting for data related to influenza
and RSV.
Specifically, we proposed to replace
the existing reporting requirements for
LTC facilities at § 483.80(g)(1)(i)
through (ix) and (g)(2) with new
requirements to report information
addressing respiratory illnesses.
Beginning on January 1, 2025, we
proposed to require facilities to
electronically report information about
COVID–19, influenza, and RSV in a
standardized format and frequency
specified by the Secretary. We proposed
to continue weekly reporting through
the CDC’s NHSN. To the extent to be
determined by the Secretary, through
this rulemaking cycle, we proposed that
the data elements for which reporting
would be required include all of the
following:
• Facility census (defined as the total
number of residents occupying a bed at
this facility for at least 24 hours during
the week of data collection).
• Resident vaccination status for a
limited set of respiratory illnesses
124 CDC COVID Data Tracker: Hospital
Admissions (https://covid.cdc.gov/covid-datatracker/#datatracker-home).
125 Franklin D, Barbre K, Rowe TA, Reses HE,
Massey J, Meng L, Dollard P, Dubendris H, Stillions
M, Robinson L, Clerville JW, Jacobs Slifka K, Benin
A, Bell JM. COVID–19 vaccination coverage and
rates of SARS–CoV–2 infection and COVID–19associated hospitalization among residents in
nursing homes. MMWR Morb Mortal Wkly Rep
2024;73:339–344. DOI: https://dx.doi.org/10.15585/
mmwr.mm7315a3.
126 Respiratory Disease Season Outlook (cdc.gov)
(https://www.cdc.gov/forecast-outbreak-analytics/
about/season-outlook.html).
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including but not limited to COVID–19,
influenza, and RSV.
• Confirmed resident cases of a
limited set of respiratory illnesses
including but not limited to COVID–19,
influenza, and RSV (overall and by
vaccination status).
• Hospitalized residents with
confirmed cases of a limited set of
respiratory illnesses including but not
limited to COVID–19, influenza, and
RSV (overall and by vaccination status).
Comment: A few commenters
expressed support for our proposal to
extend the requirements for respiratory
illness reporting in LTC facilities. These
commenters stated that sustained data
collection and reporting provides
valuable information for guiding
infection control interventions; keeping
LTC facility residents, family members,
and staff safe; and directing resources
where they are most needed. A
commenter specifically expressed
support for including other respiratory
illnesses in the required NHSN
reporting. A commenter stated that
understanding health related social
needs and demographic information
may be helpful in addressing health
inequities.
Response: We thank commenters for
their support of LTC facility acute
respiratory illness data reporting to
NHSN. The Infection Control
requirements at § 483.80 are a
comprehensive set of requirements that
include an infection prevention and
control plan (IPCP) based upon the
facility assessment as set forth in
§ 483.71. Consistent data on COVID–19,
influenza, and RSV is essential for
infection control efforts to protect the
health and safety of residents as well as
facility staff. We acknowledge that every
LTC facility is different, with different
resident populations, varying types of
acuity and medical needs, and resource
challenges. As such, our goal to
minimize the risk of severe illness,
hospitalization and death from
respiratory viruses is supported by
situational awareness that occurs with
data that can be analyzed on a regular
frequency, easily available and acted
upon.
Comment: A commenter
recommended requirements that LTC
facilities include at least one full-time
dedicated infection preventionist (IP) to
support reporting and a robust IPCP.
Response: We appreciate the
recommendation that LTC facilities use
at least one full-time dedicated IP.
Existing provisions at § 483.80(b)
require facilities to have an IP work at
least part-time at the facility.
Additionally, if the facility assessment
identifies the need for additional
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resources above the minimum
requirement of a part time IP position,
then the facility should staff to the
appropriate level to care for its resident
population. We believe that these
existing requirements set forth a feasible
and achievable minimum health and
safety standard that supports infection
prevention and control, while also
considering the differences and varying
needs of all of the LTC facilities that
must comply with these minimum
health and safety requirements.
Comment: Another commenter
supported required respiratory illness
data reporting and recommended
establishing policies to ensure that
resident privacy is protected.
Response: We appreciate the
commenter’s support for acute
respiratory illness data reporting as well
as the recommendation to ensure that
residents’ privacy is protected. Existing
provisions at § 483.10(h), ’’Privacy and
Confidentiality,’’ require LTC facilities
to ensure and respect a resident’s right
to personal privacy and the
confidentiality of their personal and
medical records. This includes but is
not limited to using appropriate
administrative, physical and technical
safeguards to ensure confidentiality,
integrity and security of personal and
medical records. Regular training for
LTC facility staff on privacy and
security best practices is essential. Also,
§ 483.10(g), ‘‘Resident rights’’, requires
LTC facilities to respect a resident’s
right to privacy in communications.
This includes mail, letters, packages and
other materials. The LTC facility must
also ensure that residents’ have
reasonable access and privacy in
electronic communications, including
email, video communications and
internet access for research. Hence, we
believe the LTC facility is already
required and should have policies to
ensure resident privacy of their medical
records, including respiratory illness
reporting based on these existing
requirements.
Comment: Many commenters
recommended that CMS revise the
frequency of NHSN reporting to
monthly or quarterly or, in some cases,
annually to reduce the administrative
burden associated with the proposed
requirement. A few commenters stated
that weekly reporting is a pandemic
level frequency for reporting and stated
that this is no longer appropriate. Other
commenters suggested reporting during
peak respiratory virus season (that is,
fall and winter). A few commenters
suggested that facilities report to NHSN
only in the event of an outbreak. A few
commenters recommended allowing
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reporting of snapshot data for the week
instead of cumulative data.
Response: We thank the commenters
for their feedback. Elevated risks of
respiratory viruses in the post-PHE era
present ongoing threats and there will
be more burdensome respiratory virus
seasons and periodic surges for the
foreseeable future that threaten the
health and safety of LTC facility
residents.127 In response, public health
agencies, such as the CDC, have shifted
prevention and control strategies from a
focus on specific viruses to an approach
that addresses the threats presented by
the broader respiratory virus season,
including focused efforts to mitigate
impacts on nursing home residents and
staff.128 Likewise, we believe it is vital
to maintain national surveillance of
these emerging and evolving respiratory
illnesses as a means of guiding infection
control interventions to keep residents
safe. To achieve this the most useful
data are those that are timely and
actionable. It is in the best interests of
LTC facility residents to protect them by
continuing year-round surveillance to
monitor for respiratory viruses. Such
surveillance will provide actionable
data for LTC facilities, healthcare
quality improvement organizations, and
public health agencies.
The proposed requirements are scaled
back and streamlined in comparison to
the current post COVID–19 PHE
requirements. As such, the CDC has
combined the respiratory illness
reporting fields in NHSN and created
one simplified reporting form (a
reduction from four forms) to support
the data collection. For additional
context, this streamlined data collection
will eliminate over 30 data fields that
LTC facilities will need to address in the
NHSN system.
Continuing the collection of the
minimal necessary data for weekly data
reporting to NHSN will maintain a level
of situational awareness that will
protect resident health and safety, while
reducing reporting burden on LTC
facilities. Weekly reporting allows for
public reporting in real time and on a
regularly occurring basis. This ensures
that a variety of entities across the local,
State, and Federal levels (such as, LTC
facilities and associations, CDC, Quality
Innovation Network-Quality
Improvement Organizations (QIN–
127 Respiratory Disease Season Outlook (cdc.gov)
(https://www.cdc.gov/forecast-outbreak-analytics/
about/season-outlook.html).
128 See https://www.cdc.gov/respiratory-viruses/
index.html and data summaries of respiratory virus
burden at https://www.cdc.gov/respiratory-viruses/
data-research/dashboard/snapshot.html and
https://www.cdc.gov/respiratory-viruses/whatsnew/track-hospital-capacity.html.
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QIOs), state and local health
departments) can monitor data with a
minimal data lag and allow for quicker,
direct response efforts to outbreaks
among LTC facility residents.
Furthermore, we are not collecting
only a ‘‘snapshot’’ of data, as suggested,
because the required data to be reported
has been streamlined to represent the
minimum necessary data and there is a
need to keep the collection period
consistent (Monday through Sunday) to
ensure the reliability of the data.
Facilities will submit data through the
NHSN reporting system once per week,
representing cumulative vaccination
coverage, new positive tests, and new
hospitalizations that occurred during
the week of reporting. Therefore, we
believe that a weekly reporting
frequency at this time is appropriate.
However, we note that the requirements
we are finalizing allow the Secretary the
discretion to revise the frequency of
reporting, and we will continue to
monitor the utility of the reporting
requirements and changing needs for
the data collection.
Comment: Many commenters
recommended not finalizing proposals
related to continued reporting of
respiratory viruses through the NHSN
and recommended that CMS allow the
existing requirements for NHSN
reporting to end on December 31, 2024,
as currently provided for at § 483.80(g).
Commenters indicated that the
continuation of data collection would
divert resources from providing direct
patient care and other important
initiatives, such as quality
improvement. Many commenters stated
that the proposed reporting
requirements are too time consuming
and therefore would create
administrative burden on LTC facilities
that may outweigh the benefits of data
reporting. Commenters were concerned
that this reporting is resource intensive
and would require LTC facilities to
increase staffing levels to comply with
all the steps of data collection,
verification, and submission (including
addressing a changing population of
staff and residents) and stated that
increasing staffing would be difficult
because LTC facilities are currently
facing staffing challenges. Some
commenters specifically highlighted the
potential burden on small facilities with
minimal staff. A few commenters stated
that data collection within the NHSN
will not lead to improved care for
residents and that the benefits of
reporting that were seen during the PHE
(including PPE allocations, strike teams,
and test kit allocations) are no longer
associated with NHSN reporting.
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Response: We appreciate the feedback
from these commenters; however,
timely data reported on acute
respiratory illnesses is essential to help
guide targeted efforts to reduce severe
illnesses and deaths among the resident
population. A data driven approach will
guide infection prevention and control
interventions and LTC facility
operations that directly relate to
resident health and safety. As discussed
previously, we want to emphasize that
the requirements we are finalizing are
scaled back and streamlined in
comparison to the current post COVID–
19 PHE requirements. For context, the
streamlined data collection will reduce
the number of NHSN forms from 4 to 1
and eliminate over 30 data fields that
LTC facilities will need to address in the
system. Therefore, we are finalizing the
proposed policy, which will continue
the collection of the minimal necessary
data needed to maintain a level of
situational awareness that we believe
will protect resident health and safety in
LTC facilities across the country, while
reducing reporting burden on those
facilities.
Comment: Many commenters stated
that the proposed reporting
requirements would require LTC
facilities to report duplicative data
through the CDC’s NHSN. Commenters
stated that relevant COVID–19 reporting
has been incorporated into other
systems and programs, and other
respiratory illnesses are collected
through the Minimum Data Set (MDS).
Commenters also mentioned that
infection data are already reported
through other mandatory mechanisms
such as reporting surveillance data to
local authorities, public health agencies
or departments of health as part of
infection control requirements,
including clusters of respiratory virus
symptoms and information about
confirmed cases. Commenters stated
that because of these other data
collection channels, requiring continued
reporting through the NHSN would be
unnecessary and duplicative, and
recommended that CMS and CDC
coordinate with public health agencies
to access the data. A few commenters
also noted that NHSN has separate
guidelines for reporting data which are
different from the guidelines for
reporting the same data via the
Minimum Data Set (MDS), which
increases administrative reporting
burden. A few commenters stated that
data submission through MDS is
preferable because these data can be
linked to resident-specific demographic
and socioeconomic data and can be
used to inform care plans. Some
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commenters recommended only
requiring LTC facilities to report on
items not reported via MDS. A
commenter recommended reporting the
data through a system similar to internet
Quality Improvement and Evaluation
System (iQIES) that would
automatically pull the data. Lastly, a
few commenters also noted that with
the release of updated public health
guidance in March 2024, CDC began
shifting to a more standardized
approach toward reporting on the
incidence of respiratory viruses and
recommended that CMS align nursing
home requirements with this guidance.
A commenter recommended that CMS
convene a task force to study what high
value data should continue to be
collected from LTC facilities and
consider adding to existing reporting
platforms.
Response: We acknowledge that
differing mechanisms for reporting some
of the proposed respiratory data
elements exist beyond NHSN, such as
reporting through MDS. However, while
there is some overlap between NHSN
and MDS collections, specifically
resident vaccination data, streamlined
data regarding acute respiratory
illnesses including COVID–19,
influenza, and RSV, as we proposed, are
not currently captured in MDS. CMS
and the CDC are committed to collecting
the minimum data fields necessary to
inform public health response and
protect LTC facility residents. NHSN
reporting provides useful data that are
timely and actionable in real time on a
routine cadence (weekly), unlike the
MDS, which is collected at longer
intervals that are dictated by reporting
requirements unrelated to acute
respiratory illnesses. An MDS must be
completed for each resident upon
admission, and then at regular intervals,
typically every 3 months, or whenever
there is a significant change in the
resident’s condition (see § 483.20,
‘‘Resident assessment’’). The timing of
MDS data collection and reporting does
not support facility-level acute
respiratory illness situational
awareness, since minimal data lag is
needed to inform response efforts.
Technical assistance and resource
allocation may be delayed or omitted
due to reduced or dated available
information.
We also acknowledge that varying
State health departments may also have
reporting requirements for respiratory
illness data. However, we believe that
there is value in collecting this
information at the Federal level. The
NHSN data reports are accessed by State
health departments to provide
actionable data. The CDC monitors
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downloads of these reports and provides
ongoing support to States and facilities
with these data, showing that the data
are actively being used and are found to
be valuable to direct response and
vaccination efforts to the LTC facilities
that most need support and
intervention. For example, publicly
available national vaccination data are
critical for decision making, targeting
outreach for vaccination campaigns
efforts, insights into vaccination
disparities and for vaccine effectiveness
studies.129 NHSN data was used by the
CDC and QIOs to contact facilities with
high vaccination coverage in order to
understand the successful strategies
they employed and promote these
strategies to other LTC facilities via
webinars. Moreover, information from
this outreach was used to identify and
respond to vaccination barriers by
creating tools and resources, such as the
Healthcare Provider Toolkit, to help
LTC facilities educate their staff,
residents, and families to remove
barriers to vaccination.
As noted previously, with this final
rule we have streamlined data reporting
to reduce burden, subsequently the CDC
reduced reporting burden by creating a
simplified and more efficient reporting
form. Respiratory illness reporting fields
for COVID–19, influenza and RSV are
combined into a single data entry form
(previously there were four), providing
a significantly simplified and improved
user experience. The CDC has invested
in enhanced user support, an improved
helpdesk ticket response system and
training tailored to the LTC community
to support the use of NHSN. In addition,
there are some projects underway with
LTC industry stakeholders to modernize
data collection as well as improving
interoperability with State
Immunization Information Systems.
Comment: A few commenters did not
support continued respiratory virus
reporting through the NHSN because of
technical challenges with the NHSN.
Several commenters noted that the
NHSN system experiences regular
technical issues and lags in service that
would be made worse by the continued
and additional reporting by facilities.
These commenters stated that the NHSN
is slow and there are lengthy delays
even for small amounts of data. These
commenters also expressed concern that
129 Wong E, Barbre K, Wiegand RE, Reses HE,
Dubendris H, Wallace M, Dollard P, Edwards J, Soe
M, Meng L, Benin A, Bell JM. Effectiveness of Upto-Date COVID–19 Vaccination in Preventing
SARS–CoV–2 Infection Among Nursing Home
Residents—United States, November 20, 2022–
January 8, 2023. MMWR Morb Mortal Wkly Rep.
2023 Jun 23;72(25):690–693. doi: 10.15585/
mmwr.mm7225a4. PMID: 37347711; PMCID:
PMC10328477.
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the NHSN help desk has long wait times
and that the process for staff to gain
initial access to the system is lengthy.
Some commenters stated that there are
frequent technical issues with NHSN
which could lead facilities to be noncompliant in data reporting through no
fault of their own. A few commenters
expressed concerns about privacy and
sharing sensitive information that could
be at risk due to issues such as data
breaches and unauthorized access. A
commenter stated that by adopting these
requirements through the CoPs, CMS
creates a risk that facilities may become
non-compliant with the CoPs due to
NHSN technical issues.
Response: We appreciate the
comments regarding technical
challenges with the NHSN. Through its
data modernization efforts, CDC
continues to work to strengthen the
support available to the LTC
community. The CDC publishes
regularly scheduled updates and
associated trainings, for which they
notify the LTC community by email
blasts and newsletters. Training
webinars are available for replay and
can be accessed in the NHSN section of
the CDC website.130 We understand the
commenters’ concerns about technical
challenges regarding the reporting of the
required information. These concerns
about noncompliance due to NHSN
technical issues could be mitigated with
documentation of technical issues and
the facility’s communication with CDC
to get issues corrected. CMS does not
expect LTC facilities to be penalized for
limitations to compliance that are
outside of their control, and this has not
been the approach taken by CMS
regarding enforcement of the PHE
COVID–19 reporting requirements or the
current post-PHE reporting
requirements.
However, existing requirements at
§ 483.10(h)(3) set out the facility’s
obligation to protect each resident’s
right to secure and confidential personal
and medical records. CMS expects all
LTC facilities to protect resident data
and information. Data breaches and
unauthorized access are important
concerns that the facility can mitigate by
establishing clear and strict data
security policies; limiting physical and
electronic access to resident data,
regular training on privacy and sharing
sensitive information; and using
encryption and secure communication
protocols. If a data breach or
unauthorized access occurs that was or
should have been within the LTC
facility’s control, CMS would evaluate
the circumstances for the performance
130 https://www.cdc.gov/nhsn/ltc/.
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of that individual LTC facility. For
example, if a LTC facility allowed
access to resident medical records to
personnel that had no legitimate reason
for access to those records and
unauthorized access occurred, CMS
might cite the LTC facility. Data
breaches can impact any entity, even the
Federal Government, and we expect that
LTC facilities will take the appropriate
actions to correct and limit any damage
or injury to residents from any data
breach or unauthorized access to their
medical or other personal information.
Comment: Several commenters
recommended that HHS invest in the
infrastructure needed to make the
voluntary sharing of important data on
infectious diseases less burdensome.
Some of these commenters stated that
this would be particularly important for
the PAC setting because of the relative
lack of interoperable electronic health
records (EHRs) across these facilities. A
few of these commenters expressed
concerns that establishing requirements
for participation for respiratory illness
data reporting may threaten Medicare
participation, facility financial viability,
and access to care. Several commenters
suggested that CMS should work with
state government, local health
departments and the provider
community to determine how best to
share data across entities and what data
elements are most valuable in
responding to PHEs, thereby reducing
redundancy and administrative burden.
Many commenters recommended that
CMS collaborate with state health
agencies to access surveillance data
reported by facilities to mitigate the
need to report to multiple agencies. A
few commenters suggested that NHSN
be directed to obtain data from state
agencies to reduce duplication of effort.
Commenters also stated that reporting
requirements vary across agencies and
recommended aligning these
requirements. A commenter specifically
recommended using OSHA’s upcoming
Infection Disease Standard to
standardize data collection for
healthcare professionals, a group that
the commenter stated was omitted from
the proposed reporting requirement.
Response: We thank commenters for
their feedback on ways to make
reporting less burdensome. The current
lack of interoperability of electronic
health records (EHRs) in the PAC setting
makes it even more important to use the
NHSN since it is set up to accept data
that is collected, verified and submitted
by all the LTC facilities across the
country, whether they have an EHR
system or not. We appreciate the
support for transitioning to, and using,
more modern, flexible approaches and
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networks that support data exchange
between and across public health and
healthcare institutions to modernize the
public health information infrastructure.
We also appreciate the suggestion that
NHSN should obtain data from State
agencies to reduce provider burden,
however this suggestion is not viable for
many reasons, including the lack of
consistent definitions of data elements
across States, the fact that all States do
not require data submission of all data
elements that are being finalized, and
that States systems may not be set up to
send data to NHSN in the manner that
is most valuable for situational
awareness.
Regarding the omission of data
collection for healthcare personnel, we
note that we considered the utility of
LTC facility respiratory illness data to
monitor and protect residents against
respiratory illnesses and the ongoing
need for such data given the diverse
respiratory disease threats. Currently,
LTC facilities only report on staff
vaccination status quarterly and we did
not believe there was enough of a use
case to support continued mandatory
reporting of staff data. However, we note
that at § 483.80(g)(2)(i) we proposed that
LTC facilities would need to report on
relevant confirmed infections for staff in
the event of a PHE. Furthermore, staff
vaccination status is currently reported
through the SNF Quality Reporting
Program (QRP) under the SNF QRP
measure ‘‘COVID–19 Vaccination
Coverage among Healthcare Personnel’’.
Comment: Several commenters
asserted that they did not support
continued reporting requirements
because LTC facilities are the only
healthcare setting that is still being
required to report this data. Some of
these commenters expressed that by
only requiring this data for one narrow
sample of the population (that is,
residents of LTC facilities) CMS would
not be able to track infections across the
overall population.
Response: We thank commenters for
their feedback, however, we note that
the assertion is incorrect. CMS finalized
proposals for hospitals and CAHs to
continue ongoing (that is outside of a
PHE) reporting on data related to
influenza, COVID–19, and RSV to
NHSN. In addition, we finalized
proposals for hospital and CAHs to
report on additional data categories that
could be required during the event of a
declared PHE. These proposals were
finalized on August 28, 2024, as part of
the final rule titled ‘‘Medicare and
Medicaid Programs and the Children’s
Health Insurance Program; Hospital
Inpatient Prospective Payment Systems
for Acute Care Hospitals and the Long
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Term Care Hospital Prospective
Payment System and Policy Changes
and Fiscal Year 2025 Rates; Quality
Programs Requirements; and Other
Policy Changes’’ (89 FR 69913).131 The
requirements for hospitals and CAHs
will be effective on November 1, 2024,
and we refer readers to the final rule for
more detail.
Comment: A few commenters
recommended that CMS align the
decision on more detailed demographic
data reporting requirements for LTC
facilities with the decision finalized for
acute inpatient hospitals and CAHs
finalized in the FY 2025 inpatient PPS
final rule. These commenters stated that
the Federal standards for the collection
of race and ethnicity are currently being
revised, with a compliance deadline of
October 2025 for Federal agencies to
develop their plans to comply with
these new standards and a deadline of
March 2029 to come into full
compliance. Commenters expressed
concern that as these standards are
being implemented, CMS could adopt a
set of requirements that could swiftly
change. A few commenters requested
clarification on whether CMS is seeking
to collect aggregate or patient-level data.
Many commenters also stated that LTC
facilities currently use MDS to collect
information related to demographics
and recommended not duplicating this
data collection. These commenters did
not support including race, ethnicity,
and socioeconomic status in the
respiratory virus reporting requirements
because of concerns that this would
increase the time needed for data
collection and reporting.
Response: We thank commenters for
the information and perspectives on the
collection and submission of
demographic data. While we are not
expanding the collection of
demographic data at this time due to the
need to further refine this concept and
the January 1, 2025, effective date of this
reporting requirement, we acknowledge
that not collecting this data would
represent a gap in epidemiological
information. We believe that
demographic data plays an important
role in informing healthcare decisions
that ultimately impact the health and
safety of residents. We intend to
continue to explore ways to facilitate
and strengthen the collection of
additional demographic data in the
future.
Comment: A commenter expressed
concern that these proposed
131 https://www.federalregister.gov/documents/
2024/08/28/2024-17021/medicare-and-medicaidprograms-and-the-childrens-health-insuranceprogram-hospital-inpatient.
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requirements were not proposed in the
SNF PPS proposed rule. This
commenter stated that HH PPS
proposed rule is an inappropriate
setting for LTC rulemaking and
recommended that CMS only adopt
policies that affect LTC facilities in
rulemaking that applies to those
facilities. This commenter also
recommended adjusting payment rates
for LTC facilities to accommodate the
increased burden of reporting.
Response: We note that issues related
to payment policy are outside the scope
of the health and safety standards and
LTC requirements for participation. We
appreciate the concern that some
commenters expressed regarding the use
of the home health prospective payment
rule as the CMS regulatory vehicle to
notify the public of our proposal for
LTC acute respiratory illness data
reporting. It is typical practice for CMS
to leverage differing regulatory vehicles
to issue our regulatory priorities,
especially as it relates to the issuance of
policy updates for the Medicare health
and safety standards. For example, the
current post-PHE COVID–19 reporting
requirements were issued on November
9, 2021, as part of the CY 2022 Home
Health Prospective Payment System
(PPS) final rule.132 The importance of
the reporting requirements coupled with
the December 2024 expiration of the
current post-PHE COVID–19 reporting
requirements at § 483.80 necessitated
the use of this regulatory vehicle as a
viable option to communicate this
action. We encourage readers to
regularly review OMB’s Unified
Agenda 133 and to sign up to receive
email updates to get the latest
information about your choice of CMS
topics, but specifically timely
information regarding activities and
initiatives that may impact LTC
facilities. Those interested can find a
field at the bottom of CMS.gov to enter
their email addresses and sign up for
updates.134
Final Rule Action: We are finalizing
our proposal to require ongoing
respiratory illness reporting in a
modified form as proposed. LTC
facilities, in a standardized format and
frequency specified by the Secretary,
must electronically report information
on acute respiratory illnesses, including
influenza, SARS-CoV–2/COVID–19, and
RSV, facility census (defined as the total
number of residents occupying a bed at
132 86 FR 62240; https://www.federalregister.gov/
documents/2021/11/09/2021-23993/medicare-andmedicaid-programs-cy-2022-home-healthprospective-payment-system-rate-update-home.
133 https://www.reginfo.gov/public/do/
eAgendaMain.
134 https://www.cms.gov/.
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this facility for at least 24 hours during
the week of data collection), resident
vaccination status, confirmed resident
cases, and hospitalized residents with
confirmed cases.
b. Collection of Additional Data
Elements During a PHE
The COVID–19 PHE strained the
healthcare system substantially,
introducing new safety risks and
negatively impacting patient and
resident safety in the normal delivery of
care. Data from the pandemic showed
that the incidence of healthcareassociated infections would increase
when COVID–19 hospitalizations were
high,135 a feedback loop between
increased stress on hospitals, LTC
facilities, illness in the community, and
patient and resident health and safety.
Degradation in other measures of
resident safety, including pressure
ulcers and falls, further demonstrate
how the strains associated with surge
response adversely affect routine safety
practices.136 137 Specifically in LTC
facilities, the significant adverse health
impacts on residents caused by COVID–
19 went far beyond the direct effects of
COVD–19 morbidity and mortality.138
Given the unprecedented impacts of,
and learnings derived from, the COVID–
19 PHE, we believe that it is imperative
to enhance preparedness and resiliency
to improve health system responses to
future threats, including pandemics that
pose catastrophic risks to resident
safety. As such, we proposed to require
additional data reporting in the event of
an acute respiratory illness PHE, or after
the Secretary’s determination that a
significant threat of one exists.
Specifically, we proposed that during
a declared national, State, or local PHE
for a respiratory infectious disease (or if
the Secretary determines a significant
135 Continued increases in the incidence of
healthcare-associated infection (HAI) during the
second year of the coronavirus disease 2019
(COVID–19) pandemic | Infection Control &
Hospital Epidemiology | Cambridge Core; https://
www.nejm.org/doi/full/10.1056/NEJMp2118285;
The impact of coronavirus disease 2019 (COVID–
19) on healthcare-associated infections in 2020: A
summary of data reported to the National
Healthcare Safety Network—PubMed (nih.gov)
(https://pubmed.ncbi.nlm.nih.gov/34473013/);
Impact of COVID–19 pandemic on central-lineassociated bloodstream infections during the early
months of 2020, National Healthcare Safety
Network—PubMed (nih.gov) (https://pubmed.ncbi.
nlm.nih.gov/33719981/).
136 Falls Risk in Long-Term Care Residents With
Cognitive Impairment: Effects of COVID–19
Pandemic—PubMed (nih.gov) (https://
pubmed.ncbi.nlm.nih.gov/38104633/).
137 https://www.nejm.org/doi/full/10.1056/
NEJMp2118285.
138 The Adverse Effects of the COVID–19
Pandemic on Nursing Home Resident Well-Being—
PMC (nih.gov) (https://www.ncbi.nlm.nih.gov/pmc/
articles/PMC7980137/).
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threat for one exists) the Secretary may
require facilities to report:
• Data up to a daily frequency
without additional notice and comment
rulemaking.
• Additional or modified data
elements relevant to the PHE, including
relevant confirmed infections among
staff, supply inventory shortages,
staffing shortages, and relevant medical
countermeasures and therapeutic
inventories, usage, or both.
• If the Secretary determines that an
event is significantly likely to become a
PHE for an infectious disease, the
Secretary may require LTC facilities to
report additional or modified data
elements without notice and comment
rulemaking.
We invited comments on whether
there should be limits to the data the
Secretary can require without notice
and comment rulemaking during a PHE,
such as limits on the duration of
additional reporting or the scope of the
jurisdiction of reporting (that is, State or
local PHEs). We also sought comments
on whether and how the Secretary
should still seek stakeholder feedback
on additional elements during a PHE
without notice and comment
rulemaking and how HHS should notify
LTC facilities of new required infectious
disease data. Furthermore, we invited
comments on the evidence HHS should
provide to demonstrate that—(1) an
event is ‘‘significantly likely to become
a PHE’’; or (2) the increased scope of
required data will be used to protect
resident and community health and
safety. We also invited comments on the
utility and burden of specifically
staffing and supply shortage data we
propose to collect during national, State,
or local PHE for a respiratory infectious
disease (or if the Secretary determines a
significant threat for one exists). Based
on LTC facilities experience with the
COVID–19 PHE, how could HHS collect
this data specifically in a way that
would be beneficial to LTC facilities?
Comment: Many commenters did not
support adopting a policy which would
allow the Secretary to require reporting
without going through notice and
comment rulemaking because this
would deny an opportunity for those
impacted by a rule to offer feedback and
advocate for changes. Some commenters
also expressed concern that changing
requirements during a PHE could lead
to unintentional non-compliance. A few
commenters expressed concerns about
the lack of any legal standard for a
‘‘significantly likely’’ PHE and stated
that there is no statutory or other
authority allows the Secretary to change
mandatory reporting requirements based
on a ‘‘significantly likely’’ PHE. These
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commenters stated that the term PHE
has a specific meaning in statute and
regulation, and the declaration of a PHE
authorizes CMS to exercise significant
flexibilities and powers intended to
expedite the regulatory process. The
commenters expressed concern
regarding the precedent of CMS or any
other Federal agency using such a vague
categorization to circumvent the notice
and comment rulemaking process. A
commenter stated that the ability to
waive notice and comment
requirements only applies to voluntary
information collections during a
declared PHE and therefore, under the
Paperwork Reduction Act (PRA) the
Director of OMB would be required to
review and approve any waiver of
notice and comment rulemaking.
Response: We appreciate the
responses regarding our proposal for
reporting respiratory illness data during
a PHE. We understand the need for
clarity when PHE-related data reporting
is required. At the time of a PHE
declaration, clarification and guidance
from the Secretary will occur so that
LTC facilities will know what related
data elements are activated for
reporting. We expect to use a
communication mechanism, such as a
Quality Safety and Oversight Memo,
that is readily available to the public,
nationally accessible, and familiar to
stakeholders, to ensure clarity and
access to necessary information.
Protecting residents during a PHE
demands that we have better visibility
and data on the spread and impact of an
acute respiratory illness in the nation’s
LTC facilities. A PHE declaration signals
that focused and timely actions are
needed so that responses are actionable
and appropriate. The time it would take
for a notice and comment period would
delay the reporting and analysis of data
and subsequent interventions that
promote health and safety in facilities.
We recognize the concerns raised
regarding the proposal to require
increased PHE reporting in the likely
event of a PHE. In response to the
concerns raised we are withdrawing the
proposal that the Secretary may require
increased reporting in the event of a
likely PHE. We encourage LTC facilities
to use their required emergency
preparedness plans and policies and
procedures (§ 483.73) to promote
readiness and actions that could reduce
burden during a resource intense time
(that is, during a PHE).
Comment: Many commenters
expressed concern that changing
reporting requirements during a PHE or
an event significantly likely to become
a PHE could lead to excessive
administrative burden with limited
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88465
benefits. Some of these commenters
stated that daily reporting would take
time away from resident care and
infection control efforts. Some
commenters stated that reporting data
during the COVID–19 PHE did not lead
to improved resources (such as
distribution of PPE) but that it did lead
to facilities being blamed for their
challenges in addressing the pandemic.
A commenter recommended
considering supportive outreach to
facilities, such as by QIOs, during future
PHEs or events significantly likely to
become a PHE.
Response: We thank the commenters
for their concerns about increased data
reporting during a PHE and the
potential administrative burden with
limited benefits. The best way targeted
support can be provided during a PHE
is to be aware of the what the facility
needs. A data driven approach will
ensure that LTC facilities, local and
state health departments, CDC and HHS
can identify trends so that mitigation
strategies can be implemented quickly,
and facilities can improve residents’
health and safety and reduce the spread
of illness. The CDC reduced reporting
burden to facilities by streamlining
reporting data entry forms, enhanced
user support, has implemented an
improved helpdesk ticket response
system and increased staffing and
training for addressing NHSN user
issues. The QIOs can monitor data in
almost real time (both the streamlined
weekly data and the expanded data
requirements during a PHE) with
minimal data lag to direct response
efforts to outbreaks among nursing
home residents. Some examples of
interventions made during the COVID
PHE include community pharmacy
vaccine clinics, vaccine education tools,
testing kits and ad campaigns.
Final Decision: We are finalizing as
proposed our proposal to require
additional reporting during a declared
national, State, or local PHE for an acute
infectious illness. We have withdrawn
our proposal to require additional
reporting if the Secretary determines
that an event is ‘‘significantly likely’’ to
become a PHE for an infectious disease.
During a declared national, State, or
local PHE for an acute infectious illness
the Secretary may require reporting of
data elements relevant to confirmed
infections for staff, supply inventory
shortages, staffing shortages, and
relevant medical countermeasures and
therapeutic inventories, usage, or both.
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VII. Provider Enrollment—Provisional
Period of Enhanced Oversight
A. Background
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1. Overview of Medicare Provider
Enrollment
Section 1866(j)(1)(A) of the Act
requires the Secretary to establish a
process for the enrollment of providers
and suppliers into the Medicare
program. The overarching purpose of
the enrollment process is to help
confirm that providers and suppliers
seeking to bill Medicare for services and
items furnished to Medicare
beneficiaries meet all applicable Federal
and State requirements to do so. The
process is, to an extent, a ‘‘gatekeeper’’
that prevents unqualified and
potentially fraudulent individuals and
entities from entering and
inappropriately billing Medicare. Since
2006, we have undertaken rulemaking
efforts to outline our enrollment
procedures. These regulations are
generally codified in 42 CFR part 424,
subpart P (currently §§ 424.500 through
424.575). They address, among other
things, requirements that providers and
suppliers must meet to enroll in
Medicare.
As outlined in § 424.510, one such
requirement is that the provider or
supplier must complete, sign, and
submit to its assigned Medicare
Administrative Contractor (MAC) the
appropriate enrollment form, typically
the Form CMS–855 (OMB Control No.
0938–0685). The Form CMS–855, which
can be submitted via paper or
electronically through the internetbased Provider Enrollment, Chain, and
Ownership System (PECOS) process
(System of Records notice (SORN): 09–
70–0532, PECOS), collects important
information about the provider or
supplier. Such data includes, but is not
limited to, general identifying
information (for example, legal business
name), licensure and/or certification
data, ownership information, and
practice locations. The application is
used for a variety of provider enrollment
transactions, including the following:
• Initial enrollment—The provider or
supplier is—(1) enrolling in Medicare
for the first time; (2) enrolling in another
Medicare contractor’s jurisdiction; or (3)
seeking to enroll in Medicare after
having previously been enrolled.
• Change of ownership—The
provider or supplier is reporting a
change in its ownership.
• Revalidation—The provider or
supplier is revalidating its Medicare
enrollment information in accordance
with § 424.515. (Suppliers of durable
medical equipment, prosthetics,
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orthotics, and supplies (DMEPOS) must
revalidate their enrollment every 3
years; all other providers and suppliers
must do so every 5 years.)
• Reactivation—The provider or
supplier is seeking to reactivate its
Medicare enrollment and billing
privileges after it was deactivated in
accordance with § 424.540.
• Change of information—The
provider or supplier is reporting a
change in its existing enrollment
information in accordance with
§ 424.516.
After receiving the provider’s or
supplier’s initial enrollment
application, CMS or the MAC reviews
and confirms the information thereon
and determines whether the provider or
supplier meets all applicable Medicare
requirements. We believe this screening
process has greatly assisted CMS in
executing its responsibility to prevent
Medicare fraud, waste, and abuse.
As previously discussed, over the
years we have issued various final rules
pertaining to provider enrollment.
These rules were intended not only to
clarify or strengthen certain components
of the enrollment process but also to
enable us to take action against
providers and suppliers: (1) engaging (or
potentially engaging) in fraudulent or
abusive behavior; (2) presenting a risk of
harm to Medicare beneficiaries or the
Medicare Trust Funds; or (3) that are
otherwise unqualified to furnish
Medicare services or items. Consistent
with this, and as we discuss in section
VII.B. of this final rule, we proposed a
change to our existing Medicare
provider enrollment regulations.
2. Legal Authorities
There are two principal categories of
legal authorities for the Medicare
provider enrollment provision
addressed in section VII.B. of this final
rule:
• Section 1866(j) of the Act furnishes
specific authority regarding the
enrollment process for providers and
suppliers.
• Sections 1102 and 1871 of the Act
provide general authority for the
Secretary to prescribe regulations for the
efficient administration of the Medicare
program.
B. Provisional Period of Enhanced
Oversight (PPEO)
1. Background
Section 1866(j)(3)(A) of the Act states
that the Secretary shall establish
procedures to provide for a provisional
period of between 30 days and 1 year
during which new providers and
suppliers—as the Secretary determines
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appropriate, including categories of
providers or suppliers—will be subject
to enhanced oversight. (Per section
1866(j)(3)(A) of the Act, such oversight
can include, but is not limited to,
prepayment review and payment caps.)
CMS’ authority under section
1866(j)(3)(A) of the Act to impose a
PPEO is not restricted to certain
provider and supplier types (for
example, hospices) but can apply to any
provider or supplier type the Secretary
determines appropriate.
As authorized by section 1866(j)(3)(B)
of the Act, we previously implemented
such procedures through subregulatory
guidance with respect to newly
enrolling HHAs’ requests for anticipated
payments (RAP).139 More recently, in
July 2023 we began placing new
hospices located in Arizona, California,
Nevada, and Texas in a provisional
period of enhanced oversight. (See
https://www.cms.gov/files/document/
mln7867599-period-enhancedoversight-new-hospices-arizonacalifornia-nevada-texas.pdf for more
information.)
During the PPEO involving HHA
RAPs, CMS received several stakeholder
requests for clarification regarding the
PPEO’s scope. One of these concerned
the meaning of the term ‘‘new’’ for
purposes of applying a PPEO. While
section 1866(j)(3)(B) of the Act states
that we may implement procedures by
program instruction, we finalized new
§ 424.527(a) in the CY 2024 HH PPS
final rule to address this issue.
Specifically, new § 424.527(a)(1)
through (3) defined a ‘‘new’’ provider or
supplier (again, exclusively for purposes
of our PPEO authority under section
1866(j)(3) of the Act) as any of the
following:
• A newly enrolling Medicare
provider or supplier. (This includes
providers that must enroll as a new
provider per the change in majority
ownership provisions in § 424.550(b).)
• A certified provider or certified
supplier undergoing a change of
ownership consistent with the
principles of 42 CFR 489.18. (This
includes providers that qualify under
§ 424.550(b)(2) for an exception from the
change in majority ownership
requirements in § 424.550(b)(1) but
which are undergoing a change of
ownership under 42 CFR 489.18.)
• A provider or supplier (including
an HHA or hospice) undergoing a 100
percent change of ownership via a
change of information request under
§ 424.516.
139 CMS eliminated the use of RAPs for HHAs;
beginning January 1, 2022, CMS replaced RAP
submissions with a Notice of Admission.
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We included these transactions
within this definition because they have
historically involved the effective
establishment of a new provider or
supplier for purposes of Medicare
enrollment. For this reason, we have
also received recent inquiries as to
whether a reactivation should fall
within the scope of § 424.527(a).
Under § 424.540 and the definition of
‘‘deactivate’’ in § 424.502, a deactivated
provider’s or supplier’s enrollment and
billing privileges are ‘‘stopped but can
be restored upon the submission of
updated information.’’ This restoration,
or reactivation, generally involves: (1)
the completion of a full Form CMS–855
application; and (2) a CMS or MAC
determination as to whether the
provider or supplier meets all
enrollment requirements. These two
steps generally mirror what occurs with
the initial and change of ownership
applications referenced in § 424.527(a).
Although a deactivation does not rise to
the level of a revocation of Medicare
enrollment and billing privileges under
§ 424.535—for a revocation bars the
provider or supplier from reenrolling in
Medicare for a period of 1 to 10 years
(with certain exceptions)—a deactivated
provider or supplier cannot resume
billing Medicare until the requirements
for reactivation are met. It has, in effect,
been blocked from the Medicare
program. Indeed, as with a provider or
supplier that voluntarily terminated its
Medicare enrollment and now seeks to
rejoin the program via an initial, new
enrollment application, a reactivating
provider, too, is requesting to rejoin the
program. Described otherwise, a
reactivating provider or supplier is
resuming its involvement in the
Medicare program after a stoppage
(which, at least for practical and
operational purposes, amounts to a loss)
of Medicare enrollment and billing
privileges. From this standpoint, we
thus believe that a reactivating provider
or supplier is no less ‘‘new’’ (for
provider enrollment purposes) than one
that is initially enrolling or undergoing
a change of ownership.
For these and other reasons discussed
in the proposed rule, we proposed to
add a new paragraph (a)(4) to § 424.527
that includes providers and suppliers
that are reactivating their enrollment
and billing privileges under
§ 424.540(b). We elected to address this
issue via rulemaking in § 424.527(a)(4).
However, we retain the authority under
section 1866(j)(3)(B) of the Act to
establish and implement PPEO
procedures via sub-regulatory guidance.
We received approximately 20
comments on our proposal. Summaries
thereof and our responses are attached.
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Comment: Several commenters
supported our proposed change.
Response: We appreciate the
commenters’ support.
Comment: A commenter stated that 1
year of additional oversight is a
reasonable timeframe for enhanced
oversight but should not extend beyond
that period unless there is reasonable
evidence that non-compliance is
occurring. Another commenter stated
that CMS should outline in the final
rule the methods it uses to determine
the length of a PPEO.
Response: While we appreciate these
comments, they do not directly pertain
to the subject of our PPEO proposal,
which is the expansion of the ‘‘new
provider or supplier’’ definition to
include reactivations. They instead
involve the broader operational aspects
of the overall PPEO process. Therefore,
we respectfully believe they are outside
the scope of this final rule.
Comment: Several commenters stated
that CMS must furnish clear guidance to
providers and suppliers under a PPEO
concerning: (1) the PPEO’s
implementation and activities; (2)
timelines for review; (3) appeals
processes; (4) provider education; and
(5) CMS’ criteria for imposing sanctions
and penalties.
Response: We appreciate these
comments but respectively believe they
are outside the scope of this final rule.
Comment: A commenter urged CMS
to target any PPEO towards providers
and suppliers engaging in egregious
conduct rather than those furnishing
services in good faith.
Response: We appreciate this
comment but respectively believe it is
outside the scope of this final rule.
Comment: A commenter
recommended that PPEOs use pre-claim
review for specific claim edits or
targeted probe and educate audits to
ensure that conditions of payment are
met.
Response: We appreciate this
comment but respectively believe it is
outside the scope of this final rule.
Comment: A commenter stated that
CMS should go beyond the application
of PPEOs and take further measures to
address program integrity issues,
especially among home health agencies
(HHAs). This could include, for
example, greater scrutiny of HHA
owners, publication and auditing of
ownership data, and closer monitoring
of patient care.
Response: We appreciate this
comment but respectively believe it is
outside the scope of this final rule.
Comment: A commenter expressed
concern that provider and supplier
claims can be subject to multiple types
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88467
of CMS reviews at the same time, such
as Unified Program Integrity Contractor
audits, Comprehensive Error Rate
Testing reviews, and now PPEOs. The
commenter believed that performing
these reviews concurrently is
unnecessary and places an undue
burden on the affected provider or
supplier. The commenter suggested that
CMS cease these simultaneous reviews
and instead combine them into a single
review or, if this is not possible, limit
the scope and number of concurrent
reviews.
Response: We appreciate this
comment but respectively believe it is
outside the scope of this final rule.
Comment: A commenter stated that
CMS should consider the deactivation
reason in determining whether a
reactivating provider or supplier should
be subject to a PPEO. More specifically,
the commenter recommended limiting
PPEO application to reactivating
providers and suppliers that were
deactivated for a verifiable instance of
non-compliance with enrollment
requirements.
Response: We believe the commenter
is referencing § 424.540(a)(4), which
permits deactivation based on
enrollment non-compliance. As we
explained at length in the proposed
rule, there are deactivation reasons
other than § 424.540(a)(4) that involve
provider or supplier non-compliance.
These include all of the following:
• Failing to report a change to the
provider’s or supplier’s enrollment
information within the required
timeframe (§ 424.540(a)(2)).
• Failing to timely respond to a
revalidation request (§ 424.540(a)(3)).
• Having a non-operational or
otherwise invalid practice location
(§ 424.540(a)(5)).
Section 424.540(a)(1), meanwhile,
permits deactivation if the provider or
supplier has not billed Medicare for 6 or
more consecutive months. A
reactivation request after many months
of billing inactivity could raise
questions as to whether, for instance: (1)
the provider or supplier will remain
compliant with Medicare enrollment
requirements once reactivated; or (2)
another party has compromised the
provider’s or supplier’s deactivated
billing privileges and seeks to
fraudulently bill Medicare via the
latter’s reactivated enrollment. Indeed,
we noted in the proposed rule that we
have identified these latter scenarios
and believe that using a PPEO to closely
monitor reactivated providers or
suppliers that had been deactivated
under § 424.540(a)(1) would help ensure
program integrity.
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The proposed rule also noted the
deactivation reasons in § 424.540(a)(6)
through (8). These are, respectively: (1)
the provider or supplier is deceased; (2)
the provider or supplier has voluntarily
withdrawn from Medicare; and (3) the
provider is the seller in an HHA
ownership change under § 424.550(b).
In each of these situations, the provider
has departed the Medicare program,
meaning the provider in effect is no
longer compliant with Medicare
enrollment requirements since it is not
actively enrolled. If a provider that was
deactivated under § 424.540(a)(7) or (8)
is seeking to reenter the program,
therefore, we must ensure the provider
is not only compliant with Medicare
enrollment requirements but also
remains such during the period
following its enrollment—hence the
importance of the PPEO. A requested
reactivation of a provider that was
deactivated under § 424.540(a)(6) raises
particularly serious concerns, for the
requesting party might be attempting to
use the deceased provider’s identity to
enter and fraudulently bill Medicare.
In sum, we believe that each
reactivation scenario, regardless of the
underlying deactivation reason, requires
thorough scrutiny of the reactivating
provider via the PPEO.
Comment: A commenter stated that
providers and suppliers that do not
appear to be reactivating for
inappropriate purposes (for example,
fraud) should be exempt from a PPEO.
The commenter believed this could
include, for instance, providers and
suppliers that had been deactivated for
6 consecutive months of Medicare nonbilling or for failing to respond to a
revalidation request.
Response: We previously explained
that when a provider or supplier is
reactivating its Medicare enrollment, it
is, to some degree, reentering the
Medicare program as would a new
provider or supplier or one undergoing
an ownership change. Given some of the
similarities of these three transaction
types in terms of CMS scrutiny and
screening of their incoming CMS
enrollment applications, we believe it is
proper to apply a PPEO to all
reactivating providers and suppliers
irrespective of the deactivation reason.
Moreover, part of the PPEO’s purpose is
to ensure that the reactivating provider
or supplier is not reentering Medicare
with nefarious objectives. To the extent
the commenter is suggesting we do so,
we cannot automatically assume the
provider or supplier has no intent to
engage in fraud, waste, or abuse based
solely on the reason for their
deactivation. To illustrate, we have
noted that a provider or supplier
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reactivating their enrollment after 6
consecutive months of non-billing may,
in fact, be a party that has compromised
that provider’s or supplier’s deactivated
billing privileges. PPEO(s) help us
confirm that this is not the case, and
that the provider or supplier is
legitimate and compliant. We thus
respectfully decline the commenter’s
recommended exemption.
Comment: A commenter appeared to
suggest that instead of applying a PPEO
to reactivating providers and suppliers
that were deactivated for enrollment
non-compliance, CMS could instead
require the reactivating provider or
supplier to: (1) undergo CMS Medicare
Learning Network (MLN)-based training;
or (2) participate in a performance
improvement plan (PIP).
Response: We respectfully disagree. In
our view, neither of the commenter’s
recommended alternatives furnish the
level of CMS scrutiny that a PPEO
provides. For example, they would not
involve a detailed CMS review of claim
accuracy or billing patterns, actions that
are possible under a PPEO and help
ensure that a reactivated provider or
supplier is not engaging in fraud, waste,
or abuse. Indeed, preventing such
conduct and facilitating program
integrity are the central purposes of a
PPEO, and we do not believe that
training and PIPs, though useful, can by
themselves sufficiently fulfill these
aims.
After considering the comments we
received, we are finalizing our proposed
change to § 424.527(a)(4) without
modification.
VIII. Collection of Information
Requirements
A. Statutory Requirement for the
Solicitation of Comments
Under the Paperwork Reduction Act
of 1995, we are required to provide a 60day notice in the Federal Register and
solicit public comment before a
collection of information requirement is
submitted to the Office of Management
and Budget (OMB) for review and
approval. In order to fairly evaluate
whether an information collection
should be approved by OMB, section
3506(c)(2)(A) of the Paperwork
Reduction Act of 1995 requires that we
solicit comment on the following issues:
• The need for the information
collection and its usefulness in carrying
out the proper functions of our agency.
• The accuracy of our estimate of the
information collection burden.
• The quality, utility, and clarity of
the information to be collected.
• Recommendations to minimize the
information collection burden on the
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affected public, including automated
collection techniques.
B. Information Collection Requirements
(ICRs)
In the CY 2025 HH PPS rule, we
solicited public comment on each of
these issues for the following sections of
this document that contain information
collection requirements (ICRs).
1. ICRs for HH QRP
As discussed in section III.D.3. of this
rule, we proposed to collect four
additional items as standardized patient
assessment data elements and modified
one item collected as a standardized
patient assessment data element
beginning with the CY 2027 HH QRP.
The four assessment items proposed for
collection are (1) Living Situation, (2)
Food Runs Out, (3) Food Doesn’t Last,
and (4) Utilities. We also propose
replacing the current Access to
Transportation item with a revised
Transportation (Access to
Transportation) item beginning with the
CY 2027 HH QRP as outlined in section
III.D.5. of this rule. All elements
discussed will be collected at the start
of care timepoint. We assumed the
Living Situation and Utilities data
elements require 0.3 minutes each of
clinician time to complete. We assumed
the Food Runs Out and Food Doesn’t
Last data elements require 0.15 minutes
each of clinician time to complete. We
assumed the replacement of the current
Access to Transportation item with a
revised Transportation will not result in
a change in burden. Therefore, we
estimated that there will be an increase
in clinician burden per OASIS
assessment of 0.9 minutes at start of
care.
As stated in section III.E. of this rule,
CMS also proposed an update to the
removal of the suspension of OASIS allpayer data collection to change all-payer
data collection beginning with the start
of care OASIS data collection timepoint
instead of discharge timepoint. There is
no associated change in burden
resulting from this provision as burden
for collection of for non-Medicare/nonMedicaid patients at all OASIS data
collection timepoints was estimated in
the CY 2023 HH PPS final rule.
The net effect of these provisions is an
increase in four data elements collected
at the start of care for the OASIS
implemented on January 1, 2027.
For purposes of calculating the costs
associated with the information
collection requirements, we obtained
median hourly wages for these from the
U.S. Bureau of Labor Statistics’ May
2023 National Occupational
Employment and Wage Estimates
E:\FR\FM\07NOR2.SGM
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(https://www.bls.gov/oes/current/oes_
nat.htm). To account for other indirect
costs such as overhead and fringe
benefits (100 percent), we have doubled
88469
the hourly wage. These amounts are
detailed in table 28.
TABLE 28: U.S. BUREAU OF LABOR STATISTICS' MAY 2023 NATIONAL
OCCUPATIONAL EMPLOYMENT AND WAGE ESTIMATES
Occupation
Code
Occupation Title
Registered Nurse (RN)
Phvsical theraoists (PT)
Speech-Language Pathologists (SLP)
Occupational Therapists (OT)
Miscellaneous Health Technologists and Technicians
The OASIS is completed by RNs or
PTs, or very occasionally by
occupational therapists (OT) or speech
language pathologists (SLP/ST). Data
from 2021 show that the SOC/ROC
OASIS is completed by RNs
(approximately 77.14 percent of the
time), PTs (approximately 22.16 percent
of the time), and other therapists,
including OTs and SLP/STs
(approximately 0.7 percent of the time).
Based on this analysis, we estimated a
weighted clinician average hourly wage
of $85.73, inclusive of fringe benefits,
29-1141
29-1123
29-1127
29-1122
29-2090
Median
Hourly Wage
($/hr)
$41.38
Fringe Benefit
(100%)
($/hr)
$41.38
Adjusted Hourly
Waee ($/hr)
$82.76
$47.94
$42.93
$46.33
$29.05
$47.94
$42.93
$46.33
$29.05
$95.88
$85.86
$92.66
$58.10
using the hourly wage data in table 28
0.7714 × 82.76 + 0.2216 × 95.98 + 0.007
× 89.26 = 85.74. Individual providers
determine the staffing resources
necessary.
For purposes of estimating burden, we
compare the item-level burden estimates
for the OASIS that will be released on
January 1, 2027, to the OASIS–E1 as
anticipated for implementation as of
January 1, 2025, and finalized in
CY2024 HH PPS final rule. The first
component needed to calculate burden
is the total estimated assessments for
each year in question. Table 29 shows
the total number of OASIS assessments
that HHAs completed in CY 2023 at
start of care and resumption of care. It
also outlines the estimated assessments
that are expected to be collected in 2025
based on a 30 percent increase in
completed assessments required for all
payer data submission requirements for
(CY23 assessment total + CY23
assessment total *0.3 = Estimated CY25
Assessment total based on all payer data
collection).
TABLE 29. START OF CARE/RESUMPTION OF CARE OASIS SUBMISSIONS
BASED ON CY 2023 & CY 2025 ESTIMATED OASIS DATA
The totals from table 29 are used to
calculate the hourly burden estimates in
table 30 based on the following
calculations:
lotter on DSK11XQN23PROD with RULES2
Start of Care
Estimated time spent per each 2025
OASIS–E1 SOC Assessment/Patient
= 56.4 clinician minutes
200 data elements × (range of 0.15 to
0.3) minutes per data element =
56.4 minutes of clinical time spent
to complete data entry for the
OASIS–E1 SOC assessment
• 21 data elements counted as 0.15
minutes/data element (3.15
minutes)
• 9 data elements counted as 0.25
minutes/data element (2.25
minutes)
• 170 data elements counted as 0.30
minutes/data element (51 minutes)
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Clinician Estimated hourly burden for
all HHAs (11,904) for 2025 OASIS–
E1 SOC assessments = 8,099,309
hours
56.4 clinician minutes per SOC
assessment × 8,616,286 assessments
= 485,958,530 minutes/60 minutes
per hour = 8,099,309 hours for all
HHAs
Estimated time spent per each 2027
OASIS SOC Assessment/Patient =
57.3 clinician minutes
204 data elements × (range of 0.15 to
0.3) minutes per data element =
57.3 minutes of clinical time spent
to complete data entry for the
OASIS SOC assessment
• 23 data elements counted as 0.15
minutes/data element (3.45
minutes)
• 9 data elements counted as 0.25
minutes/data element (2.25
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Sfmt 4700
minutes)
• 172 data elements counted as 0.30
minutes/data element (51.6
minutes)
Clinician Estimated hourly burden for
all HHAs (11,904) for 2027 OASIS
SOC assessments = 8,228,553 hours
57.3 clinician minutes per SOC
assessment × 8,616,286 assessments
= 493,713,188 minutes/60 minutes
per hour = 8,228,553 hours for all
HHAs
Resumption of Care
Estimated time spent per each 2025
OASIS–E1 ROC Assessment/Patient
= 47.1 minutes
169 data elements × (range of 0.15 to
0.3) minutes per data element =
47.1 minutes of clinical time spent
to complete data entry for the
OASIS–E1 ROC assessment
• 19 data elements counted as 0.15
E:\FR\FM\07NOR2.SGM
07NOR2
ER07NO24.059
Time Point
Start of Care
Resumption of Care
Total Assessments
Estimated CY 2025 OASIS
Assessments Based on AllPaver Data Collection
8,616,286
1,184,618
9,800,904
ER07NO24.058
CY 2023 OASIS
Assessments Comoleted
6,627,912
911,245
7,539,157
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minute/data element (2.85 minutes)
• 9 data elements counted as 0.25
minute/data element (2.25 minutes)
• 140 data elements counted as 0.30
minute/data element (42 minutes)
Clinician Estimated Hourly Burden for
all HHAs for 2025 OASIS–E1 ROC
assessments = 823,310 hours
47.1 clinician minutes per ROC
assessment × 1,184,618 ROC
assessments =55,795,508 minutes/
60 minutes = 929,925 hours for all
HHAs
Estimated time spent per each 2027
OASIS ROC Assessment/Patient =
48 minutes
173 data elements × (range of 0.15 to
0.3) minutes per data element = 48
minutes of clinical time spent to
complete data entry for the OASIS
ROC assessment
• 21 data elements counted as 0.15
minute/data element (3.15 minutes)
• 9 data elements counted as 0.25
minute/data element (2.25 minutes)
• 142 data elements counted as 0.30
minute/data element (42.6 minutes)
Clinician Estimated Hourly Burden for
all HHAs for 2027 OASIS ROC
assessments = 947,694 hours
48 clinician minutes per ROC
assessment × 1,184,618 ROC
assessments = 56,861,664 minutes/
60 minutes = 947,694 hours for all
HHAs
Table 30 summarizes the estimated
clinician hourly burden for the OASIS
that will be implemented in 2027 with
the proposed rule’s changes of an
increase in four data elements at start of
care and resumption of care compared
to the anticipated 2025 OASIS–E1
burden. This is calculated by
multiplying the total number of
assessments by the increase in
assessment time required. We calculated
the 2025 and 2027 burden estimate in
minutes and then calculated an hourly
burden shown in table 30. We estimated
a net increase of 147,013 hours of
clinician burden across all HHAs or
12.35 hours (147,013/11,904) for each of
the 11,904 active HHAs.
TABLE 30. SUMMARY OF ESTIMATED CLINICIAN HOURLY BURDEN FOR CY
2025 AND CY 2027
Clinician Estimated
SOC/ROC Hourly
Burden - OASIS 2025
8,099,309
929,925
9,029,234
OASIS Assessment Type
Start of Care
Resumption of Care
Totals
Table 31 summarizes the estimated
clinician costs for the 2025 OASIS–E1
and the 2027 OASIS with the net
addition of four data elements at start of
care using CY 2023 BLS wage inputs.
Total clinician cost for 2025 and 2027
is estimated by multiplying total hourly
burden for each year as reported in table
31 by the weighted clinician average
Clinician Estimated
SOC/ROC Hourly
Burden - OASIS 2027
8,228,553
947,694
9,176,247
hourly wage of $85.74. We then
calculated the difference in clinician
estimated costs between 2027 and 2025.
This calculates the estimated increase in
costs associated with adding the four
data elements at start of care and
resumption of care. We estimated an
increase in clinician costs
$12,604,894.62 between 2027 and 2025
Total Increase in
Hours
+129,244
+17,769
+147,013
related to the implementation of the
proposals outlined in this rule across all
HHAs or a $1,058.88 increase
($12,604,894.62/11,904) for each of the
11,904 active HHAs. This increase in
burden will begin with the January 1,
2027, OASIS assessments.
TABLE 31. SUMMARY OF ESTIMATED CLINICIAN COSTS FOR CY 2025 AND CY
2027
Comment: Commenters that
supported the proposal expressed
concerns about implementation
including that the vendors be provided
enough time to prepare for the changes,
that home health agencies be provided
time and resources to educate staff on
the changes, that OASIS revisions are
too frequent and burdensome for
agencies and that implementation of the
proposal would be burdensome. Some
commenters cautioned that SDOH needs
identified must be addressed, and one
suggested that CMS should provide
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additional reimbursement to HHAs for
the follow-up required to address
identified needs.
Response: We acknowledge the
commenters’ concerns and appreciate
their suggestions. We proposed the
SDOH data elements in the CY 2025 HH
PPS proposed rule with an effective date
to begin collection via the OASIS
instrument of January 1, 2027, to ensure
that vendors and HHAs have sufficient
time to prepare for implementation. We
will make training available to HHAs on
the changes to the OASIS, consistent
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Fmt 4701
Total Cost Increase
Clinician Estimated
Cost - OASIS 2027
$705,516,134.22
$ 81,255,283.56
$786,771,417.78
Sfmt 4700
+$11,081,380.56
+$1,523,514.06
+$12,604,894.62
with education and training resources
for previous revisions to the OASIS
instrument. We acknowledge that
revisions to the OASIS require time and
effort and resources for providers to
prepare for the changes and we are
committed to proposing revisions to the
OASIS no more frequently than every 2
years. We agree that patients’ needs
should be addressed by the HHA,
consistent with applicable rules and
regulations, although we note that the
proposal does not specify a requirement
E:\FR\FM\07NOR2.SGM
07NOR2
ER07NO24.061
Clinician Estimated
Cost - OASIS-El 2025
$ 694,434,753.66
$ 79,731,769.50
$774,166,523.16
ER07NO24.060
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OASIS
Assessment Type
Start of Care
Resumption of Care
Totals
Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
lotter on DSK11XQN23PROD with RULES2
for how HHAs may address patients’
needs.
Comment: Commenters that did not
support the proposal acknowledged that
SDOH information is important but
adding four data elements to the OASIS
and modifying a fifth would be
burdensome. A commenter noted that
revisions to the OASIS are too frequent
and recommended that CMS limit
revisions to intervals of no less than 4
years. Another commenter suggested
that the proposed living situation data
element is duplicative of information
that is already collected and
recommended that the look-back for the
utilities data element be changed from
12 months to three to capture more
reliable, valid, and timely information.
Another commenter encouraged CMS to
consider using SDOH information as
part of the risk-adjusted outcome quality
measures. A commenter stated the
proposal is not aligned with healthrelated social needs reporting
requirements across the care continuum
and that further testing and refinement
are needed to ensure the proposed items
work as intended in this setting. This
commenter noted that CMS’ evaluation
of the AHC HRNS screening tool in the
AHC Model showed that screening did
not appear to increase beneficiary
connection to community resources or
health-related social need resolution,
and they recommended CMS conduct
further testing and developing clearer
implementation guidance before
adopting the proposed data elements in
the HHQRP.
Response: We acknowledge the
commenters’ concerns and appreciate
their suggestions. As previously stated,
we acknowledge that revisions to the
OASIS require time and effort and
resources for providers to prepare for
the changes and we are committed to
proposing revisions to the OASIS no
more frequently than every 2 years. We
disagree that the proposed Living
Situation data element is duplicative of
information that is already collected
because it addresses housing insecurity,
which is not part of the information
captured in the current OASIS. We
believe that the proposed data elements
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are not setting-specific, and that the
testing conducted in their development
has been sufficiently rigorous that we
can adopt the data elements into the
OASIS and the other PAC instruments
with confidence.
After consideration of the public
comments received, we are finalizing
our proposal to adopt four new items as
standardized patient assessment data
elements in the SDOH category: one
living situation item, two food items,
and one utilities item, and to modify the
transportation item in section III.C.D. of
this rule beginning January 1, 2027,
with the CY 2027 HH QRP.
2. ICRs for the Expanded HHVBP Model
The RFI and the health equity update
for the expanded HHVBP Model
included in section IV. of this rule do
not result in an increase in costs to
HHAs. Section 1115A(d)(3) of the Act
exempts Innovation Center model tests
and expansions, which include the
expanded HHVBP Model, from the
provisions of the PRA. Specifically, this
section provides that the provisions of
the PRA do not apply to the testing and
evaluation of Innovation Center models
or to the expansion of such models.
3. ICRs Related to Conditions of
Participation (CoPs): Organization and
Administration of Services (§ 484.105)
In section VI.A. of the rule, we
discussed our proposal to add a new
standard at § 484.105(i), which would
set forth a requirement for HHAs to
establish an ‘‘acceptance-to-service’’
policy. This new standard would
require the HHA to develop, implement,
and maintain through an annual review
a patient acceptance-to-service policy
that addressed criteria related to the
HHA’s capacity to provide patient care,
including, but not limited to,
anticipated needs of the referred
prospective patient, case load and case
mix of the HHA, staffing levels of the
HHA, and competencies and skills of
the HHA staff. In addition, we proposed
the HHA would have to make public
accurate information about the services
offered by the HHA and any limitations
related to the types of specialty services,
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Sfmt 4700
88471
service duration, and service frequency.
We believe that most HHAs already
have a policy related to the admission
to service. The burden associated with
this requirement is the burden required
to develop, implement, and maintain an
updated policy that would meet the
requirements of this rule, and the
burden associated with making
specified information available to the
public.
Section 1861(o)(2) of the Act requires
HHAs to have policies established by a
group of professional personnel
(associated with the agency or
organization), including one or more
physicians and one or more registered
professional nurses. Therefore, we
expect the HHA to utilize a physician
and nurse to create and update the
HHA’s policies. We estimated there are
9,565 Medicare-certified HHAs and that
the proposed new requirement would
take 1 hour each of a physician and a
registered nurse’s time on a one-time
basis, for an HHA to develop an
acceptance-to-service policy at a cost of
$321.84 per HHA and $3,078,400 for all
HHA’s. We also estimated the HHA
nurse would review the acceptance-toservice policy on an annual basis. This
annual review would take 5 minutes for
an HHA nurse at a cost of $7.00 per
HHA for all HHAs to fulfill this
requirement.
In addition, we estimated that the
proposed requirement would take 15
minutes on a one-time basis for an HHA
to the specified information public at a
cost of $10.43 per HHA or $99,763 for
all HHA’s, based on the assumption that
the HHA administrative professional
will process this task. The average
hourly rate for an administrative
employee is $41.70, therefore it is
$10.43 per HHA, or $99,763 for all
HHA’s to fulfill the requirement. We
also proposed that the HHA
administrative professional would
review this website annually to assure
the continued accuracy of the posted
information. This annual review would
take 5 minutes at a cost of $3.48 per
HHA or $33,286 for all HHA’s to fulfill
this requirement.
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TABLE 32: U.S. BUREAU OF LABOR STATISTICS' MAY 2023 NATIONAL
OCCUPATIONAL EMPLOYMENT AND WAGE ESTIMATES
Occupation
Code
Occunation Title
Registered Nurse (RN)
httos://www.bls.2:ov/oes/current/oes29 l l 4 l .htm
Physician
httns://www.bls.2:ov/oes/current/oes29l229.htm
Medical Administrative Assistant
httos://www.bls.gov/oes/current/oes4360l3.htm
Comment: A few commenters stated
that CMS did not adequately account for
the burden of the proposed acceptanceto-service policy in their estimates for
compliance that maintaining the
proposed policy would take HHAs
appreciably more than 5 minutes per
year and that the amount that CMS
estimated ($9,000 to implement and
$30,000 to maintain) would be
insurmountable for small agencies.
Likewise, a commenter stated that the
estimate of $99,763 as a one-time cost
for making the information public
equates to approximately $9.07 per
HHA which is less than the commenter
believes this activity will cost. Other
commenters stated that they did not
support the proposed acceptance-toservice policy because of concerns that
data collection and reporting for such a
policy will create additional
administrative burden for HHAs.
Response: We appreciate the
commenters feedback on burden
estimates for the development of the
proposed acceptance-to-service policy
and the requirement to make this
information public and update
annually. We agree with the
Median
Hourly
Wage
($/hr)
$41.38
Fringe
Benefit
(100%)
($/hr)
$41.38
Adjusted
Hourly Wage
($/hr)
$82.76
$119.54
$119.54
$239.08
$20.85
$20.85
$41.70
29-1141
29-1229
46-6013
commenters feedback and have made
adjustments to the burden estimates.
To develop the acceptance-to-service
policy, we expect the HHA to utilize a
physician and nurse to create and
update the HHA’s policies. We
estimated there are 9,565 Medicarecertified HHAs and that the proposed
new requirement would take 2 hours
each of a physician and a registered
nurse’s time on a one-time basis, for an
HHA to develop an acceptance-toservice policy at a cost of $643.68 per
HHA ($82.76 × 2 + $239.08 × 2) and
$6,156,799 for all HHA’s ($1,583,199 +
$4,573,600). We also estimated the HHA
nurse would review the acceptance-toservice policy on an annual basis. This
annual review would take 30 minutes
for an HHA nurse at a cost of $41.38 per
HHA ($82.76 × 30/60 minutes) and
$395,799.70 for all HHA’s ($41.38 ×
9,565) to fulfill this requirement.
In addition, we estimated that the
proposed requirement to make the
specified information public would take
an HHA 30 minutes on a one-time basis
at a cost of $20.85 per HHA or
$199,430.25 for all HHA’s, based on the
assumption that the HHA administrative
professional will process this task. The
average hourly rate for an administrative
employee is $41.70, therefore it is
$20.85 per HHA ($41.70 hour × 30/60
minutes) or $199,430.25 for all HHA’s
($20.85 × 9,565) to fulfill the
requirement. We also proposed that the
HHA administrative professional would
review information to ensure accuracy
as frequently as the services change. We
revised the requirement at
§ 484.105(i)(2) to require HHAs to
review public information regarding
services offered, service limitations, or
service frequency as frequently as the
services as changed, but no less often
than annually. Therefore, we estimate
the average HHA may need to update
this service information as frequently as
4 to 6 times per year, but no less than
annually to assure the continued
accuracy of the posted information. We
estimate this review will take 10
minutes per review with an estimated
six reviews annually at a cost of $41.70
for an HHA ($41.70 × 10/60 minute =
$6.95 × 6 = $41.70) or $398,860.50 for
all HHA’s (41.70 × 9,565 = $398,860.50)
to fulfill this requirement.
TABLE 33: SUMMARY OF ESTIMATED COSTS FOR THE
ACCEPTANCE-TO-SERVICE POLICY
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9,565
9,565
9,565
9,565
9,565
9,565
9,565
Sfmt 4725
Net Total
$791,599
$2,286,800
$6,156,799
$395,800
$199,430
$66,476
$398,860
E:\FR\FM\07NOR2.SGM
07NOR2
ER07NO24.063
$82.76
$239.08
$643.68(one time cost)
$41.38 (annually)
$20.85 (one time cost)
$6.95 (per review)
$41.70 (6 reviews)
Total
Number of
HHA's
ER07NO24.062
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Estimated Burden § 484.105:
Acceptance-to-Service Policy
Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
After consideration of the public
comments we received, we are
modifying the final burden estimated for
home health agencies to be in
compliance with the acceptance-toservice policy.
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4. ICRs for Provider Enrollment
Provisions
Section 1866(j)(3)(A) of the Act states
that the Secretary shall establish
procedures to provide for a provisional
period of between 30 days and 1 year
during which new providers and
suppliers—as the Secretary determines
appropriate, including categories of
providers or suppliers—will be subject
to enhanced oversight. Some of these
procedures have been codified in
§ 424.527. As explained in section VII.
of this rule, we proposed to expand the
definition of ‘‘new provider or supplier’’
in § 424.527(a) (solely for purposes of
applying a provisional period of
enhanced oversight) to include
providers and suppliers that are
reactivating their Medicare enrollment
and billing privileges under
§ 424.540(b). We stated in the proposed
rule that we do not anticipate any ICR
burden associated with this provision,
for we are merely expanding an existing
regulatory definition.
We did not receive any comments on
our ICR estimates and are therefore
finalizing them as proposed.
5. ICRs Related to LTC Requirements for
Acute Respiratory Illness Reporting
§ 483.80(g)
In section VII.B. of this rule we
discussed the final policy related to LTC
requirements for acute respiratory
illness reporting. At § 483.80(g)(1)(i)
through (ix) and (g)(2), we proposed to
replace the existing reporting
requirements for LTC facilities with new
requirements to report information
addressing respiratory illnesses.
Beginning on January 1, 2025, facilities
would be required to electronically
report information about COVID–19,
influenza, and RSV in a standardized
format and frequency specified by the
Secretary. To the extent to be
determined by the Secretary, through
this rulemaking cycle, we proposed that
the data elements for required reporting
would include—
• Facility census;
• Resident vaccination status for a
limited set of respiratory illnesses
including but not limited to COVID–19,
influenza, and RSV;
• Confirmed, resident cases of a
limited set of respiratory illnesses
including but not limited to COVID–19,
influenza, and RSV (overall and by
vaccination status); and
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• Hospitalized residents with
confirmed cases of a limited set of
respiratory illnesses including but not
limited to COVID–19, influenza, and
RSV (overall and by vaccination status.).
In the absence of a declared national
PHE for an acute respiratory illness, we
proposed that LTC facilities would
continue to report these data on a
weekly basis through a format specified
by the Secretary and specifically noted
that we intend to continue reporting
through the CDC’s NHSN. We indicated
that there may be instances in which the
Secretary may determine a need to
change reporting frequency, such as
during a future PHE, and we would
provide appropriate notice and
guidance at that time.
In addition, during a declared
national, State, or local PHE for an acute
infectious illness we also proposed that
the Secretary may require facilities to
report:
• Data up to a daily frequency
without additional notice and comment
rulemaking.
• Additional or modified data
elements relevant to the PHE, including
relevant confirmed infections among
staff, supply inventory shortages,
staffing shortages, and relevant medical
countermeasures and therapeutics
inventories, usage, or both.
We noted that since the infection
prevention and control program (IPCP)
is the responsibility of the infection
preventionist (IP), we anticipate that the
IP would be responsible for reviewing
and updating the policies and
procedures for the facility’s IPCP to
comply with these proposals. We
estimated that it would require 2 hours
of the IP’s time to update the facility’s
policies and procedures to ensure that
they reflect the proposed requirements.
In analyzing the ICRs related to the
proposal we obtained salary information
from the May 2023 National
Occupational Employment and Wage
Estimates, BLS at https://www.bls.gov/
oes/current/oes_nat.htm. We calculated
the estimated hourly rate for an IP using
the occupation code for a registered
nurse (29–1141) based on the national
mean salary increased by 100 percent to
account for overhead costs and fringe
benefits ($45.42 × 2 = $90.84 (rounded
to $91). According to CMS, there are
currently 14,926 LTC facilities as of
April 2024.140
Based on this salary information and
facility data, we estimated that total
annual burden hours for all LTC
facilities to review and update their
current policies and procedures would
140 https://qcor.cms.gov/active_nh.jsp?which=0&
report=active_nh.jsp, report ran 4/24/2024.
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88473
be 29,852 hours (2 hours × 14,926
facilities) at a cost of $2,716,532 (29,852
× $91) or $182 ($91 × 2 hours) per
facility annually.
In addition, LTC facilities will need to
continue locating the required
information and electronically reporting
in the frequency specified to the NHSN.
Currently, the ICR associated with this
reporting requirement under OMB
control #0938–1363 (Reform of
Requirements for Long-Term Care
Facilities (CMS–10573)) estimates a
total burden cost of $55,972,800 (1 hour
× 52 weeks × $69 (IP 2022 salary) ×
15,600 LTC facilities as of 2022) based
on weekly reporting. We expect that
ongoing reporting will require
continuous efforts to collect and
organize the information necessary to
report the data through the NHSN or
other system as determined by the
Secretary. While the number of required
data elements for ongoing reporting
have decreased from the current postCOVID–19 PHE reporting requirements
set to expire December 2024, we
acknowledged that the data elements
and reporting frequency could increase
or decrease due to what the Secretary
deems necessary based on changes in
circumstance or given another PHE and
these changes would impact this burden
estimate. For instance, weekly data
reporting could be decreased to biweekly reporting or the increased
reporting of additional data elements
during a PHE could be activated and
remain active for less than or more than
a year depending on the circumstances.
Since we cannot predict with certainty
how often the Secretary would require
data reporting for a future PHE, we
included two burden estimates to cover
a range in the frequency of reporting.
The lower range is based on weekly
reporting and the higher range is based
on daily reporting.
Based on the assumption of a weekly
reporting frequency and 1 hour of the
IP’s time to locate and electronically
report the information, we estimated
that total annual burden hours for all
LTC facilities to comply would be
776,152 hours (1 hour × 52 weeks ×
14,926 facilities) at a cost of $70,629,832
(776,152 total hours × $91) or $4,732
($91 × 1 hour × 52 weeks) per facility
annually.
Based on the assumption of a daily
reporting frequency, we estimated that
total annual burden hours for all LTC
facilities to comply would be 5,447,990
hours (1 hour × 365 days a year × 14,926
facilities) at a cost of $495,767,090
(5,447,990 total hours × $91) or $33,215
($91 × 1 hour × 365 days a year) per
facility annually.
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Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
In summary, we estimated a total
annual burden for all LTC facilities for
the proposed ICRs of 806,004 to
5,477,842 hours at an estimated cost of
$73,346,364 to $498,483,622 or 54 to
367 hours at an estimated cost of $4,914
to $33,397 per facility annually. The ICR
burden currently associated with
§ 483.80(g) is included under OMB
control number 0938–1363; expiration
date: April 30, 2026. We will submit the
revised information collection request to
include these preliminary estimates to
OMB for approval under OMB control
number 0938–1363 (CMS–10914). We
note that any additional ICR burden
related to the specific instruments used
for reporting and the time necessary to
submit/report the data is the National
Healthcare Safety Network (NHSN)
Surveillance in Healthcare Facilities
(OMB control number 0920–1317)
package.
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L TC Requirements
Section
§483.80(g)(l) and (2)
Policies and Procedures
§483.80(g)(l) and (2)
Electronically Reporting
Totals
Number
ofLTC
Facilities
14,926
Hourly
Wage
Rate
$91
Burdeu
Hours Per
LTC
Facility
2
Cost
Estimate
Per
L TC Facility
$182
Burden
Hours
For All
L TC Facilities
29,852
Cost
Estimate
For All
LTC Facilities
$2,716,532
14,926
$91
52 to 365
$4,732 to $33,215
776,152 to 5,447,990
$70,629,832 to $495,767,090
14,926
$91
54 to 367
$4,914 to $33,397
806,004 to 5,477,842
$73,346,364 to $498,483,622
We welcomed public comments on
our ICR burden estimates, and on ways
that reporting burden can be minimized
while still providing adequate data. We
also welcomed feedback on any
challenges of collecting and reporting
these data; ways that CMS could reduce
reporting burden for facilities; and
alternative reporting mechanisms or
quality reporting programs through
which CMS could instead effectively
and sustainably incentivize reporting.
Lastly, we welcomed comments that
address system readiness and capacity
to collect and report these data.
Comment: A commenter did not agree
with the assumptions used for
estimating the burden of the proposed
LTC respiratory illness data reporting
requirements. This commenter stated
that CMS has underestimated the
required time for reporting these data
and underestimated the cost by
assuming that the activity would be
completed by an RN. The commenter
stated that this data collection is often
done by the IP, the Director of Nursing,
or the Nursing Home Administrator, all
of whom have higher wage rates than an
RN. The commenter noted that the BLS
May 2023 National Industry-Specific
Occupational Employment and Wage
Estimates website, estimates the median
hourly wage for a Nursing Home
Administrator at $58.82, which raises
the cost estimates by almost 50 percent
as compared to the hourly wage used by
CMS. The commenter also notes that the
burden estimates do not account for
other staff that may be involved in
supporting the IP, the DON, or the
Administrator in the data collection.
Furthermore, they note that the time to
gather and report the data to NHSN is
impacted by facility size, number of
weekly admissions and discharges, and
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the outbreak status of the facility. As an
example, the commenter shares that a
facility with an average census of 57
residents requires 3 hours per week to
report to NHSN and a facility with an
average census of 76 residents requires
5 hours per week to report to NHSN.
They note that these estimates are based
on the time currently necessary to
comply with the existing COVID–19
data reporting requirements and asserts
that the proposed revisions would
increase this time based on the
expanded data reporting elements. This
commenter recommended that CMS not
finalize the proposed rule.
Response: We appreciate the feedback
shared by this commenter regarding the
effort and time currently exercised by
varying facilities to comply with the
existing COVID–19 data reporting
requirements. We disagree with the
commenter’s assertion that the proposed
revisions would increase burden and
believe that the streamlined data
elements proposed will positively
impact data collection and reporting
efforts, despite the possibility for
changes in the frequency of reporting.
The proposal reduced the number of
data elements required for ongoing
reporting from the current post-COVID–
19 PHE reporting requirements set to
expire December 2024. Specifically,
starting on September 30, 2024, NHSN
will have a single reporting form for all
nursing home respiratory illness and
vaccination data reporting, combining
four forms into one, and resulting in a
significant reporting burden reduction.
Several data elements were removed, so
even with the addition of influenza and
RSV reporting, this single reporting
form and new requirements result in a
reduction in the number of data fields
by 34 (from 50), and an overall time and
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burden reduction. In summary, the
changes from the current post-PHE
COVID–19 reporting to the proposals
finalized in this rule include
removing—
• Staff Pathway (including positive
tests among staff)
• Staff COVID–19 vaccination (¥20
required fields)
• Total resident deaths
• Resident COVID–19 deaths
• Total beds
• Resident census
• Resident medical contraindications,
declinations, and other/unknown
vaccination statuses. Under the current
forms there are 50 total fields (33
vaccination, 17 Pathways) and under
the proposed CoP and revised forms
there are 16 total fields (includes the
addition of influenza and RSV).
In the proposed rule, we provided an
explanation of the salary data used to
inform our estimates. These
requirements are a part of a facility’s
responsibility to develop and maintain
an infection control program and as
such, we based on our estimate on the
assumption that the main individual
conducting these activities would be the
IP. Furthermore, to support the estimate
we used the national mean salary data
for an RN and increased the salary by
100 percent to account for overhead
costs and fringe benefits. We
acknowledge the commenter’s feedback
noting that varying staff types, besides
the IP, may be responsible for
completing the activities necessary to
comply with the respiratory illness data
reporting requirements. However, as the
commenter noted, the IP is likely one of
the individuals that may conduct the
activities and therefore since we cannot
know how often a DON or the
administrator may be involved, we
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TABLE 34: TOTAL BURDEN FOR§ 483.80(g) ICRs
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believe our assumption to estimate costs
based on the IP, who is a RN, is
reasonable. We also note that additional
burden related to the specific
instruments used for reporting and the
time necessary to submit/report the data
to the NHSN is account for in the NHSN
Surveillance in Healthcare Facilities
(OMB control number 0920–1317)
package. This package accounts for
additional burden related to the IP
completing the data entry either
manually (25 minutes) or by uploading
a CSV file (20 minutes) in NHSN.
Together, we believe that the burden
associated for complying with the
respiratory illness data reporting
requirements has been reasonability
estimated.
C. Submission of PRA-Related
Comments
We have submitted a copy of this final
rule to OMB for its review of the rule’s
information collection requirements.
The requirements are not effective until
they have been approved by OMB.
To obtain copies of the supporting
statement and any related forms for the
proposed collections, as previously
discussed, please visit the CMS website
at https://www.cms.hhs.gov/Paperwork
ReductionActof1995, or call the Reports
Clearance Office at 410–786–1326.
We invited public comments on these
potential information collection
requirements. We received public
comment on the information collection
requirements.
IX. Regulatory Impact Analysis
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A. Statement of Need
1. HH PPS
Section 1895(b)(1) of the Act requires
the Secretary to establish a HH PPS for
all costs of home health services paid
under Medicare. In addition, section
1895(b) of the Act requires: (1) the
computation of a standard prospective
payment amount include all costs for
home health services covered and paid
for on a reasonable cost basis and that
such amounts be initially based on the
most recent audited cost report data
available to the Secretary; (2) the
prospective payment amount under the
HH PPS to be an appropriate unit of
service based on the number, type, and
duration of visits provided within that
unit; and (3) 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 home health applicable
percentage increase. Section 1895(b)(4)
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of the Act governs the payment
computation. Sections 1895(b)(4)(A)(i)
and (b)(4)(A)(ii) of the Act requires the
standard prospective payment amount
be adjusted for case-mix and geographic
differences in wage levels. Section
1895(b)(4)(B) of the Act requires the
establishment of appropriate case-mix
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 home health services
furnished in a geographic area
compared to the applicable national
average level.
Section 1895(b)(3)(B)(iv) of the Act
provides the Secretary with the
authority to implement adjustments to
the standard prospective payment
amount (or amounts) for subsequent
years to eliminate the effect of changes
in aggregate payments during a previous
year or years that were the result of
changes in the coding or classification
of different units of services that do not
reflect real changes in case-mix. Section
1895(b)(5) of the Act provides the
Secretary with 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.
Sections 1895(b)(2) and 1895(b)(3)(A)
of the Act, as amended by sections
51001(a)(1) and 51001(a)(2) of the BBA
of 2018 respectively, required the
Secretary to implement a 30-day unit of
service, for 30-day periods beginning on
and after January 1, 2020. Section
1895(b)(3)(D)(i) of the Act, as added by
section 51001(a)(2)(B) of the BBA of
2018, requires the Secretary to annually
determine the impact of differences
between assumed behavior changes, as
described in section 1895(b)(3)(A)(iv) of
the Act, and actual behavior changes on
estimated aggregate expenditures under
the HH PPS with respect to years
beginning with 2020 and ending with
2026. Section 1895(b)(3)(D)(ii) of the Act
requires the Secretary, at a time and in
a manner determined appropriate,
through notice and comment
rulemaking, to provide for one or more
permanent increases or decreases to the
standard prospective payment amount
(or amounts) for applicable years, on a
prospective basis, to offset for such
increases or decreases in estimated
aggregate expenditures, as determined
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88475
under section 1895(b)(3)(D)(i) of the Act.
Additionally, 1895(b)(3)(D)(iii) of the
Act requires the Secretary, at a time and
in a manner determined appropriate,
through notice and comment
rulemaking, to provide for one or more
temporary increases or decreases to the
payment amount for a unit of home
health services for applicable years, on
a prospective basis, to offset for such
increases or decreases in estimated
aggregate expenditures, as determined
under section 1895(b)(3)(D)(i) of the Act.
The HH PPS wage index utilizes the
wage adjustment factors used by the
Secretary for purposes of sections
1895(b)(4)(A)(ii) and (b)(4)(C) of the Act
for hospital wage adjustments.
2. HH QRP
Section 1895(b)(3)(B)(v) of the Act
authorizes the HH QRP, which requires
HHAs to submit data in accordance with
the requirements specified by CMS.
Failure to submit data required under
section 1895(b)(3)(B)(v) of the Act with
respect to a program year will result in
the reduction of the annual home health
market basket percentage increase
otherwise applicable to an HHA for the
corresponding calendar year by 2
percentage points.
3. Expanded HHVBP Model
In the CY 2022 HH PPS final rule (86
FR 62292 through 62336) and codified
at 42 CFR part 484, subpart F, we
finalized our policy to expand the
HHVBP Model to all Medicare certified
HHAs in the 50 States, territories, and
District of Columbia beginning January
1, 2022. CY 2022 was a preimplementation year. CY 2023 was the
first performance year in which HHAs
individual performance on the
applicable measures will affect their
Medicare payments in CY 2025. In this
final rule, we summarized comments
that we received on a RFI related to the
future measure concepts for the
expanded HHVBP Model. The proposed
rule also included an update on
potential future approaches for
integrating health equity that are being
considered for the expanded HHVBP
Model. This final rule does not make
any changes to the expanded HHVBP
Model.
4. Home IVIG Items and Services
Division FF, section 4134 of the CAA,
2023 (Pub. L. 117–328), which amended
section 1842(o) of the Act, mandated
that CMS establish a permanent,
bundled payment for items and services
related to administration of IVIG in a
patient’s home. The permanent,
bundled home IVIG items and services
payment is effective for home IVIG
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infusions furnished on or after January
1, 2024. Payment for these items and
services is required to be a separate
bundled payment made to a supplier for
all items and services furnished in the
home during a calendar day. This
payment amount may be based on the
amount established under the
Demonstration. The standard Part B
coinsurance and the Part B deductible
apply. The separate bundled payment
does not apply for individuals receiving
services under the Medicare home
health benefit. Section 1834(j)(5) of the
Act clarifies that a supplier who
furnishes these services meet the
requirements of a supplier of medical
equipment and supplies. The
permanent, bundled home IVIG items
and services payment is updated by the
home health update percentage
beginning January 1, 2025.
5. HHA CoP Changes: Establishing an
Acceptance-to-Service Policy
In sections 1861(o) and 1891 of the
Act, the Secretary has established in
regulations the requirements that an
HHA must meet to participate in the
Medicare program. These requirements
are set forth in regulations at 42 CFR
part 484, Home Health Services, and
regulations at 42 CFR 440.70(d) specify
that HHAs participating in the Medicaid
program must also meet the Medicare
Conditions of Participation (CoPs).
Section 1861(o)(6) of the Act requires
that an HHA must meet the CoPs
specified in section 1891(a) of the Act,
and other CoPs as the Secretary finds
necessary in the interest of the health
and safety of patients. The CoPs for
HHAs protect all individuals under the
HHA’s care, unless a requirement states
that this is specifically limited to
Medicare beneficiaries. As explained in
section VI.A. of this rule, we are
proposed to add a new standard at
§ 484.105(i) that would require HHAs to
develop, consistently apply, and
maintain an acceptance-to-service
policy, including specified factors, that
would govern the process for accepting
patients to service. We also proposed
that HHAs would be required to make
specified information about their
services and service limitations
available to the public.
We received no comments on
regulatory impact analysis for the
proposal and believe there are no
additional costs beyond what we have
recognized in the collection of
information section.
6. Provider Enrollment Provisions
Section 1866(j)(3)(A) of the Act states
that the Secretary shall establish
procedures to provide for a provisional
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period of between 30 days and 1 year
during which new providers and
suppliers—as the Secretary determines
appropriate, including categories of
providers or suppliers—will be subject
to enhanced oversight. Some of these
procedures have been codified in 42
CFR 424.527. As explained in section
VII. of this rule, we proposed to expand
the definition of ‘‘new provider or
supplier’’ in § 424.527(a) (solely for
purposes of applying a provisional
period of enhanced oversight (PPEO)) to
include providers and suppliers that are
reactivating their Medicare enrollment
and billing privileges under
§ 424.540(b).
7. LTC Requirements for Acute
Respiratory Illness Reporting
Sections 1819(d)(3) and 1919(d)(3) of
the Act explicitly require that LTC
facilities develop and maintain an
infection control program that is
designed, constructed, equipped, and
maintained in a manner to protect the
health and safety of residents,
personnel, and the general public. In
addition, sections 1819(d)(4)(B) and
1919(d)(4)(B) of the Act explicitly
authorize the Secretary to issue any
regulations he deems necessary to
protect the health and safety of
residents. As such, we are proposed
streamlined weekly data reporting
requirements for certain respiratory
illnesses. We are also proposed
additional, related data elements that
could be activated in the event of a
future acute respiratory illness PHE.
We did not receive any comments
specifically related to the regulatory
impact analysis for these proposed
requirements. Comments received on
these proposals, including those related
to our ICR burden estimates and general
burden concerns, can be found earlier in
the rule in the Collection of Information
section.
B. Overall Impact
We have examined the impacts of this
final 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), Executive Order
14094 on Modernizing Regulatory
Review (April 6, 2023), 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), Executive
Order 13132 on Federalism (August 4,
1999), and the Congressional Review
Act (5 U.S.C. 804(2)).
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Executive Orders 12866 and 13563
direct agencies to assess all costs and
benefits of available regulatory
alternatives and, if regulation is
necessary, to select regulatory
approaches that maximize net benefits
(including potential economic,
environmental, public health and safety
effects, distributive impacts, and
equity). Executive Order 14094 amends
section 3(f) of Executive Order 12866 to
define a ‘‘significant regulatory action’’
as an action that is likely to result in a
rule: (1) having an annual effect on the
economy of $200 million or more in any
1 year, or adversely affect in a material
way the economy, productivity,
competition, jobs, the environment,
public health or safety, or State, local,
or Tribal governments or communities;
(2) creating a serious inconsistency or
otherwise interfering with an action
taken or planned by another agency; (3)
materially altering the budgetary
impacts of entitlement grants, user fees,
or loan programs or the rights and
obligations of recipients thereof; or (4)
raising legal or policy issues for which
centralized review would meaningfully
further the President’s priorities.
A regulatory impact analysis (RIA)
must be prepared for a regulatory action
that is significant under section 3(f)(1)
of E.O. 12866. Based on our estimates,
OMB’S Office of Information and
Regulatory Affairs (OIRA) has
determined this rulemaking is
significant under section 3(f)(1) of E.O.
12866. Accordingly, we have prepared a
regulatory impact analysis that presents
the costs and benefits of the rulemaking
to the best of our ability. Pursuant to
Subtitle E of the Small Business
Regulatory Enforcement Fairness Act of
1996 (also known as the Congressional
Review Act), OIRA has determined that
this rule meets the criteria set forth in
5U.S.C.804(2). Therefore, OMB has
reviewed this final rule and the
Department has provided the following
assessment of their impact.
C. Detailed Economic Analysis
1. Effects of the Final Policy Changes for
the CY 2025 HH PPS
This rule updates Medicare payments
under the HH PPS for CY 2025. The net
transfer impact related to the changes in
payments under the HH PPS for CY
2025 is estimated to be $85 million (0.5
percent). The $85 million increase in
estimated payments for CY 2025 reflects
the effects of the final CY 2025 home
health payment update percentage of 2.7
percent ($460 million increase), an
estimated 1.8 percent decrease that
reflects the effects of the permanent
adjustment ($305 million decrease), and
E:\FR\FM\07NOR2.SGM
07NOR2
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an estimated 0.4 percent decrease that
reflects the effects of an updated FDL
($70 million decrease).
We use the latest data and analysis
available. However, we do not adjust for
future changes in such variables as
number of visits or case-mix. This
analysis incorporates the latest
estimates of growth in service use and
payments under the Medicare home
health benefit, based primarily on
Medicare claims data for periods that
ended on or before December 31, 2023.
We note that certain events may
combine to limit the scope or accuracy
of our impact analysis, because such an
analysis is future-oriented and, thus,
susceptible to errors 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 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.
VerDate Sep<11>2014
19:11 Nov 06, 2024
Jkt 265001
Table 35 represents how HHA
revenues are likely to be affected by the
final policy changes for CY 2025. For
this analysis, we used an analytic file
with linked CY 2023 OASIS
assessments and home health claims
data for dates of service that ended on
or before December 31, 2023. The first
column of table 35 classifies HHAs
according to a number of characteristics
including provider type, geographic
region, and urban and rural locations.
The second column shows the number
of facilities in the impact analysis. The
third column shows the payment effects
of the permanent assumption
adjustment on all payments. The
aggregate impact of the permanent
adjustment reflected in the third column
does not equal the final ¥1.975 percent
permanent adjustment because the
adjustment only applies to the national,
standardized 30-day period payments
and does not impact payments for 30day periods which are LUPAs. The
fourth column shows the payment
effects of the recalibration of the casemix weights offset by the case-mix
weights budget neutrality factor. The
fifth column shows the payment effects
of updating the CY 2025 wage index
(that is, the FY 2025 hospital pre-floor,
pre-reclassified wage index for hospital
cost reporting periods beginning on or
after October 1, 2020, and before
October 1, 2021 (FY 2021 cost report
PO 00000
Frm 00125
Fmt 4701
Sfmt 4700
88477
data)) with the revised OMB
delineations and a 5-percent cap on
wage index decreases. The aggregate
impact of the changes in the fifth
column is zero percent, due to the wage
index budget neutrality factor. The sixth
column shows the payment impacts of
the final update to the LUPA add-on
factors. The seventh column shows the
payment effects of the final CY 2025
home health payment update
percentage. The eighth column shows
the payment effects of the revised FDL,
and the last column shows the
combined effects of all the final
provisions.
Overall, it is projected that aggregate
payments in CY 2025 would increase by
0.5 percent which reflects the 1.8
percent decrease from the permanent
adjustment, the 2.7 payment update
percentage increase, and the 0.4 percent
decrease from increasing the FDL. As
illustrated in table 35, the combined
effects of all changes vary by specific
types of providers and by location. We
note that some individual HHAs within
the same group may experience
different impacts on payments than
others due to the distributional impact
of the CY 2025 wage index, the
percentage of total HH PPS payments
that were subject to the LUPA or paid
as outlier payments, and the degree of
Medicare utilization.
BILLING CODE 4120–01–P
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07NOR2
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E:\FR\FM\07NOR2.SGM
07NOR2
All Agencies
Facility Type and Control
Free-Standing/Other Vol/NP
Free-Standing/Other Proprietary
Free-Standing/Other Government
Facility-Based Vol/NP
Facility-Based Proprietary
Facility-Based Government
Subtotal: Freestanding
Subtotal: Facility-based
Subtotal: Vol/NP
Subtotal: Proprietary
Subtotal: Government
Facility Type and Control: Rural
Free-Standing/Other Vol/NP
Free-Standing/Other Proprietary
Free-Standing/Other Government
Facility-Based Vol/NP
Facility-Based Proprietary
Facility-Based Government
Facility Type and Control: Urban
Free-Standing/Other Vol/NP
Free-Standing/Other Proprietary
Free-Standing/Other Government
Facility-Based Vol/NP
Facility-Based Proprietary
Facility-Based Government
Facility Location: Urban or Rural
Rural
Number
of
Agencies
9,638
CY2025
Permanent
BA
Ad_justment
-1.8%
CY 2025
Case-Mix
Weights
Recalibration
Neutrality
Factor
0.0%
CY2025
Updated
Wage Index
(with 5%
cap and
0MB
delineations)
0.0%
CY2025
LUPA
Add-On
Factors
Update
0.0%
CY2025
FinalHH
Payment
Update
Percentage
2.7%
CY 2025 FixedDollar Loss (FDL)
Update
-0.4%
Total
0.5%
866
7,049
149
429
44
137
8,064
610
1,295
7,093
286
-1.7%
-1.8%
-1.7%
-1.7%
-1.8%
-1.7%
-1.8%
-1.7%
-1.7%
-1.8%
-1.7%
0.0%
0.0%
0.0%
-0.1%
0.1%
0.0%
0.0%
-0.1%
0.0%
0.0%
0.0%
-0.6%
0.2%
0.6%
-0.3%
0.6%
0.6%
0.1%
-0.2%
-0.5%
0.2%
0.6%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
2.7%
2.7%
2.7%
2.7%
2.7%
2.7%
2.7%
2.7%
2.7%
2.7%
2.7%
-0.5%
-0.4%
-0.5%
-0.6%
-0.4%
-0.5%
-0.4%
-0.6%
-0.5%
-0.4%
-0.5%
-0.1%
0.7%
1.1%
0.0%
1.2%
1.1%
0.6%
0.1%
0.0%
0.7%
1.1%
205
731
101
187
14
100
-1.7%
-1.8%
-1.7%
-1.6%
-1.8%
-1.7%
0.1%
0.3%
0.2%
0.1%
0.5%
0.1%
0.7%
1.5%
1.2%
0.9%
-0.5%
0.3%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
2.7%
2.7%
2.7%
2.7%
2.7%
2.7%
-0.5%
-0.3%
-0.6%
-0.7%
-0.3%
-0.6%
1.3%
2.4%
1.8%
1.4%
0.6%
0.8%
661
6,310
48
242
30
37
-1.7%
-1.8%
-1.8%
-1.7%
-1.8%
-1.7%
0.0%
0.0%
-0.1%
-0.1%
0.0%
-0.1%
-0.7%
0.1%
0.0%
-0.6%
0.9%
0.8%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
2.7%
2.7%
2.7%
2.7%
2.7%
2.7%
-0.5%
-0.4%
-0.4%
-0.6%
-0.5%
-0.4%
-0.2%
0.6%
0.4%
-0.3%
1.3%
1.3%
1,338
-1.8%
0.2%
1.3%
0.0%
2.7%
-0.4%
2.0%
Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
19:11 Nov 06, 2024
ER07NO24.065
88478
VerDate Sep<11>2014
TABLE 35: CY 2025 HHA IMPACTS BY FACILITY TYPE AND AREA OF THE COUNTRY
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7,328
-1.8%
0.0%
-0.1%
0.0%
2.7%
-0.4%
0.4%
300
379
1,427
569
1,566
357
1,996
705
2,296
43
-1.7%
-1.7%
-1.8%
-1.7%
-1.8%
-1.8%
-1.8%
-1.7%
-1.8%
-1.8%
-0.1%
-0.1%
0.0%
-0.1%
-0.1%
0.2%
0.2%
-0.1%
0.0%
0.5%
-1.6%
-1.4%
0.1%
0.7%
1.3%
2.4%
1.2%
1.2%
-2.0%
-1.2%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
2.7%
2.7%
2.7%
2.7%
2.7%
2.7%
2.7%
2.7%
2.7%
2.7%
-0.5%
-0.4%
-0.4%
-0.5%
-0.4%
-0.3%
-0.4%
-0.5%
-0.4%
-0.4%
-1.2%
-0.9%
0.6%
1.1%
1.7%
3.2%
1.9%
1.6%
-1.5%
-0.2%
2,178
1,504
1,702
1,909
2,345
-1.8%
-1.7%
-1.8%
-1.8%
-1.8%
0.1%
0.0%
0.0%
0.0%
0.0%
0.0%
-0.4%
-0.2%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
2.7%
2.7%
2.7%
2.7%
2.7%
-0.5%
-0.5%
-0.5%
-0.4%
-0.4%
0.5%
0.1%
0.2%
0.5%
0.5%
E:\FR\FM\07NOR2.SGM
Notes: The estimated 1.8 percent decrease related to the fmalized permanent adjustment includes all payments, while the -1.975 percent permanent adjustment
only applies to the national, standardized 30-day period payments and does not impact payments for 30-day periods which are LUPAs. The "CY 2025 Updated
Wage Index (with 5% cap and 0MB delineations)" column reflects updated hospital wage index data (reflecting 2022 cost report data) with the revised 0MB
delineations from 0MB Bulletin No. 23-01 and a 5-percent cap on wage index decreases. The "CY 2025 LUPA Add-On Factors Update" column has an overall
impact of -0.02 percent which is reflected in the table as 0.0 percent due to rounding. The "Fixed Dollar Loss (FDL) Update" column reflects a change in the
FDL from 0.27 to 0.35. Due to missing Provider of Services file information (from which home health agency characteristics are obtained), some subcategories
in the impact tables have fewer agencies represented than the overall total (of9,638): totals involving facility type or control only add up to 8,674 and totals
involving urban/rural locations only add up to 8,666.
07NOR2
Sfmt 4700
Source: CY 2023 Medicare claims data for periods with matched OASIS records ending in CY2023 (as of July 11, 2024).
88479
ER07NO24.066
REGION KEY:
New England=Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont
Middle Atlantic=Pennsylvania, New Jersey, New York
South Atlantic=Delaware, District of Columbia, Florida, Georgia, Maryland, North Carolina, South Carolina, Virginia, West Virginia
East North Central=Illinois, Indiana, Michigan, Ohio, Wisconsin
East South Central-Alabama, Kentucky, Mississippi, Tennessee
West North Central=Iowa, Kansas, Minnesota, Missouri, Nebraska, North Dakota, South Dakota
West South Central=Arkansas, Louisiana, Oklahoma, Texas
Mountain=Arizona, Colorado, Idaho, Montana, Nevada, New Mexico, Utah, Wyoming
Pacific=Alaska, California, Hawaii, Oregon, Washington
Other=Guam, Puerto Rico, Virgin Islands
Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
19:11 Nov 06, 2024
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VerDate Sep<11>2014
Urban
Facility Location: Region of the
Country (Census Re11Jon)
New England
Mid Atlantic
East North Central
West North Central
South Atlantic
East South Central
West South Central
Mountain
Pacific
Outlying
Facility Size (Number of30-day
Periods)
< 100 periods
100 to 249
250 to 499
500 to 999
1,000 or More
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2. Effects of the Changes for the HH QRP
for CY 2027
Failure to submit HH QRP data
required under section 1895(b)(3)(B)(v)
of the Act with respect to a program
year will result in the reduction of the
annual home health market basket
percentage increase otherwise
applicable to an HHA for the
corresponding calendar year by 2
percentage points. For the CY 2023
program year, 820 of the 11,549 active
Medicare-certified HHAs, or
approximately 7.1 percent, did not
receive the full annual percentage
increase because they did not meet
assessment submission requirements.
The 820 HHAs that did not satisfy the
reporting requirements of the HH QRP
for the CY 2023 program year represent
$149 million in home health claims
payment dollars during the reporting
period out of a total $16.4 billion for all
HHAs.
We proposed to collect four
additional items as standardized patient
assessment data elements and modify
one item collected as a standardized
patient assessment data element
beginning with the CY 2027 HH QRP.
The four assessment items proposed for
collection were (1) Living Situation;(2)
Food Runs Out; (3) Food Doesn’t Last;
and (4) Utilities. We also proposed to
modify the current Access to
Transportation item with a revised
Transportation (Access to
Transportation) item beginning with the
CY 2027 HH QRP. CMS also proposed
an update to the removal of the
suspension of OASIS all-payer data
collection to change all-payer data
collection beginning with the start of
care OASIS data collection timepoint
instead of discharge timepoint. The net
effect of these proposals was an increase
of four data elements at the start of care
time point and a net increase in burden.
Section VIII.B.1. of this rule provides
a detailed description of the net increase
in burden associated with the proposed
changes. We proposed that additions of
data elements associated with the HH
QRP proposals would begin with
January 1, 2027, discharges. The cost
impact of these proposed changes was
estimated to be a net increase of
$12,604,89 5 in annualized cost to
HHAs, discounted at 2 percent relative
to year 2023, over a perpetual time
horizon beginning in CY 2027. We
described the estimated burden and cost
reductions for these measures in section
VIII. of this rule. In summary, the
implementation of proposed provisions
outlined in this rule for the HH QRP is
estimated to increase the burden on
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19:11 Nov 06, 2024
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HHAs by $1,059 per HHA annually, or
$12,604,895 for all HHAs annually.
Commenters that supported the
proposal expressed concerns about
implementation including that the
vendors be provided enough time to
prepare for the changes, that home
health agencies be provided time and
resources to educate staff on the
changes, that OASIS revisions are too
frequent and burdensome for agencies
and that implementation of the proposal
would be burdensome. Some
commenters cautioned that SDOH needs
identified must be addressed, and one
suggested that CMS should provide
additional reimbursement to HHAs for
the follow-up required to address
identified needs.
Response: We acknowledge the
commenters’ concerns and appreciate
their suggestions. We proposed the
SDOH data elements in the CY 2025 HH
PPS proposed rule with an effective date
to begin collection via the OASIS
instrument of January 1, 2027, to ensure
that vendors and HHAs have sufficient
time to prepare for implementation. We
will make training available to HHAs on
the changes to the OASIS, consistent
with education and training resources
for previous revisions to the OASIS
instrument. We acknowledge that
revisions to the OASIS require time and
effort and resources for providers to
prepare for the changes and is
committed to proposing revisions to the
OASIS no more frequently than every 2
years. We agree that patients’ needs
should be addressed by the HHA,
consistent with applicable rules and
regulations, although we note that the
proposal does not specify a requirement
for how HHAs may address patients’
needs.
Comment: Commenters that did not
support the proposal acknowledged that
SDOH information is important but
adding four data elements to the OASIS
and modifying a fifth would be
burdensome. A commenter noted that
revisions to the OASIS are too frequent
and recommended that CMS limit
revisions to intervals of no less than
four years. A commenter suggested that
the proposed living situation data
element is duplicative of information
that is already collected and
recommended that the look-back for the
utilities data element be changed from
12 months to 3 months to capture more
reliable, valid, and timely information.
Another commenter encouraged CMS to
consider using SDOH information as
part of the risk-adjusted outcome quality
measures. A commenter stated the
proposal is not aligned with healthrelated social needs reporting
requirements across the care continuum
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and that further testing and refinement
are needed to ensure the proposed items
work as intended in this setting. This
commenter noted that CMS’ evaluation
of the AHC HRSN screening tool in the
AHC Model showed that screening did
not appear to increase beneficiary
connection to community resources or
health-related social need resolution,
and they recommended CMS conduct
further testing and developing clearer
implementation guidance before
adopting the proposed data elements in
the HHQRP.
Response: We acknowledge the
commenters’ concerns and appreciate
their suggestions. As previously stated,
we acknowledge that revisions to the
OASIS require time and effort and
resources for providers to prepare for
the changes and we are committed to
proposing revisions to the OASIS no
more frequently than every 2 years. We
disagree that the proposed Living
Situation data element is duplicative of
information that is already collected
because it addresses housing insecurity,
which is not part of the information
captured in the current OASIS. We
believe that the proposed data elements
are not setting-specific, and that the
testing conducted in their development
has been sufficiently rigorous that we
can adopt the data elements into the
OASIS and the other PAC instruments
with confidence.
After consideration of the public
comments we received, we are
finalizing our proposal to adopt four
new items as standardized patient
assessment data elements in the SDOH
category: one living situation item, two
food items, and one utilities item, and
to modify the transportation item in
section III.D.5. of this rule beginning
January 1, 2027, with the CY 2027 HH
QRP.
3. Effects of the Expanded HH VBP
Model
There were no proposed changes to
the expanded HHVBP Model for CY
2025. Therefore, we assumed there are
no impacts resulting from this
provision. Furthermore, the public
comments received related to the
Request for Information on Future
Performance Measure Concepts for the
Expanded HHVBP Model and the
update on Future Approaches to Health
Equity in the Expanded HHVBP Model,
included in section IV. of the proposed
rule, will be summarized in this final
rule and may inform proposals through
future rulemaking.
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Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
4. Impacts of Home IVIG Items and
Services
The following analysis applies to the
home IVIG items and services payment
rate as set forth in section V.D.1. of this
final rule as added by section 4134 of
the CAA, 2023 and accordingly,
describes the impact for CY 2025 only.
Table 36 represents the estimated
aggregate costs of home IVIG users for
CY 2025. We used CY 2023 data to
identify beneficiaries actively enrolled
in the IVIG demonstration (that is,
beneficiaries with Part B claims that
contain the Q2052 HCPCS code) to
estimate the number of potential CY
2025 active enrollees in the new benefit,
which are shown in column 2. In
column 3, CY 2023 claims for IVIG
visits under the Demonstration were
again used to estimate potential
utilization under the new benefit in CY
2025. Column 4 shows the final CY
88481
2025 home IVIG items and services rate.
The fifth column estimates the total cost
to Medicare for CY 2025 ($9,535,238).
The increase in estimated costs of
covered IVIG items and services for CY
2025 relative to the baseline year in CY
2024 (using updated CY 2023 claims
data as of July 26, 2024) is $250,000.
Table 36 represents the estimated
impacts of the home IVIG items and
services payment for CY 2025 by census
region.
TABLE 36: ESTIMATED COSTS OF COVERED IVIG ITEMS AND SERVICES,
CY2025
Year
Number of Active
Enrollees 1
Number oflVIG Visits 1
Final
Nationwide Rate
Estimated Cost
CY 2025
1,938
22,081
$431.83
$9,535,238
1The
number of active enrollees and IVIG visits in CY 2023 was used to estimate utilization in CY 2024 and CY
2025. Claims data were extracted on July 26, 2024.
TABLE 37: ESTIMATED IMPACTS OF THE HOME IVIG ITEMS AND SERVICES
PAYMENT BY REGION, CY 2025
South Atlantic
East North Central
East South Central
West North Central
West South Central
Mountain
Pacific
Other
NJ,NY,PA
DE, DC, FL, GA, MD, NC, SC, VA, WV
IL, IN, MI, OH, WI
AL, KY, MS, 1N
IA, KS, MN, MO, NE, ND, SD
AR, LA, OK, TX
AZ, CO, ID, MT, NV, NM, UT, WY
AK, CA, HI, OR, WA
GU, PR, VI
220
505
161
192
136
198
148
214
2,625
5,254
1,815
2,064
1,597
2,177
1,704
2,554
0
$989,323
$1,133,554
$2,268,835
$783,771
$891,297
$689,633
$940,094
$735,838
$1,102,894
$0
O
number of active enrollees in the IVIG Demonstration and their IVIG visits in CY 2023 was used to estimate
utilization in CY 2025. CY 2023 claims data were extracted on July 26, 2024. Each IVIG claims is assigned to a
single census division. There are eleven beneficiaries who had a set ofIVIG claims in CY 2023 with a portion of
their claims in one census division and the remaining claims in a different census division.
6. Provider Enrollment Provisions
We proposed to add a new standard
§ 484.105(i), which sets forth a
requirement for HHAs to establish an
acceptance-to-service policy. All costs
associated with this policy are located
in the section VIII. of this final rule
(Collection of Information). There are no
transfers associated with this
requirement.
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19:11 Nov 06, 2024
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For purposes of applying a PPEO, we
proposed to expand the definition of
‘‘new provider or supplier’’ in
§ 424.527(a) to include providers and
suppliers that are reactivating their
Medicare enrollment and billing
privileges under § 424.540(b). We stated
in the proposed rule’s regulatory impact
section that we were unable to establish
an estimate of any potential burden
associated with this provision for two
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Fmt 4701
Sfmt 4700
main reasons. First, we do not have
sufficient data upon which we could
formulate a burden projection. Second,
we could not predict the scope, extent,
and length of any future PPEO or the
provider or supplier type(s) to which it
may apply. Accordingly, we solicited
public comment from stakeholders on
the potential burden of our expansion of
§ 424.527(a).
We did not received comments
regarding the potential impact of
E:\FR\FM\07NOR2.SGM
07NOR2
ER07NO24.067
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5. HHA CoP Changes: Establishing an
Acceptance-to-Service Policy
ER07NO24.068
1The
88482
Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
§ 424.527(a)’s expansion and are
therefore finalizing our assessments as
discussed in the previous paragraph.
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7. Effects of the LTC Requirements for
Acute Respiratory Illness Reporting
We proposed to update the
requirements related to reporting acute
respiratory illnesses for LTC facilities at
§ 483.80(g). All cost associated with this
policy are located in the section IX. of
this final rule (Collection of
Information). There are no transfers
associated with this requirement. We
welcomed public comments on our
estimates, and on ways that reporting
burden can be minimized while still
providing adequate data. We also
welcomed feedback on any challenges
of collecting and reporting these data;
ways that CMS could reduce reporting
burden for facilities; and alternative
reporting mechanisms or quality
reporting programs through which CMS
could instead effectively and
sustainably incentivize reporting.
Lastly, we welcomed comments that
address system readiness and capacity
to collect and report these data.
A summary of comments received on
the proposed rule can be found in
sections VI.B. (Long-Term Care (LTC)
Requirements for Acute Respiratory
Illness Reporting) and section VIII.B.5.
(Collection of Information) of this final
rule.
D. Regulatory Review Cost Estimation
If regulations impose administrative
costs on private entities, such as the
time needed to read and interpret this
final rule, we should estimate the cost
associated with the regulatory review.
Due to the uncertainty involved with
accurately quantifying the number of
entities that will review the rule, we
assume that the total number of unique
commenters on this year’s proposed rule
will be the number of reviewers of this
final rule. We acknowledge that this
assumption may understate or overstate
the costs of reviewing this rule. It is
possible that not all commenters
reviewed this year’s proposed rule in
detail, and it is also possible that some
reviewers chose not to comment on the
proposed rule. For these reasons we
thought that the number of commenters
would be a fair estimate of the number
of reviewers of this rule. We also
recognize that different types of entities
are in many cases affected by mutually
exclusive sections of this rule, and
therefore for the purposes of our
estimate we assume that each reviewer
reads approximately 50 percent of the
rule. Using the wage information from
the BLS for medical and health service
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managers (Code 11–9111), we estimate
that the cost of reviewing this rule is
$106.42 per hour, including overhead
and fringe benefits https://www.bls.gov/
oes/current/oes_nat.htm. Assuming an
average reading speed, we estimate that
it would take approximately 3.49 hours
for the staff to review half of this final
rule. For each entity that reviews the
rule, the estimated cost is $371.41 (3.49
hours × $106.42). Therefore, we estimate
that the total cost of reviewing this
regulation is $399,637 ($371.41 × 1,076)
[1,076 is the number of estimated
reviewers, which is based on the total
number of unique commenters from this
year’s proposed rule].
E. Alternatives Considered
1. HH PPS
For the CY 2025 HH PPS, we
considered alternatives to the final
provisions articulated in section II.C. of
this rule. As described in section
II.C.1.b. of this rule, we finalized a
mapping of three OASIS items
(therapies, vision, and pain) and a
lookback period of 12 months in order
to impute the responses from the
OASIS–E to the OASIS–D to create
simulated 60-day episodes from 30-day
periods. We considered not mapping the
three items (therapies, vision, and pain).
Alternatives to the lookback period
consisted of our initial proposal of 24
months and a shorter, three-month
lookback period. We also considered no
lookback period. However, to continue
with the previously finalized
methodology for assessing behavior
changes, which uses certain OASIS
items, we finalized the OASIS–E to
OASIS–D mapping of the three items
and a 12-month lookback period.
As described in section II.C.1.g. of this
rule, to achieve appropriate payments,
we calculated a permanent adjustment
by determining what the 30-day base
payment amount should have been in
CYs 2020, 2021, 2022, and 2023 in order
to achieve the same estimated aggregate
expenditures as obtained from the
simulated 60-day episodes. One
alternative to the ¥1.975 percent
permanent adjustment, as finalized in
this rule, included taking the full
adjustment of ¥3.95 percent. Another
alternative would be to take the
remaining permanent adjustment not
taken in the CY 2024 HH PPS final rule,
which resulted in ¥2.890 percent.
Another alternative would be a phase-in
approach, where we could reduce the
permanent adjustment by spreading out
the CY 2025 permanent adjustment over
a specified period of years, rather than
halving the adjustment in CY 2025.
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Another alternative would be to delay
the permanent adjustment to a future
year. However, we are not taking the
¥3.95 adjustment as we wish to be
responsive to commenter concerns
about the on-going permanent
adjustments to payment rate.
Additionally, we believe that applying
the permanent behavior adjustment
calculated using CY 2023 claims over a
period of several years, or delaying the
permanent adjustment, would not be
appropriate as it would further impact
budget neutrality and likely lead to a
compounding effect creating the need
for a larger permanent reduction to the
payment rate in future years. Therefore,
we are finalizing a ¥1.975 percent (half
of the permanent ¥3.95 percent
adjustment) permanent adjustment to
the CY 2025 30-day payment rate. As
stated previously in this final rule, we
did not propose implementing the
temporary adjustment to reconcile
retrospective overpayments in CYs
2020, 2021, 2022, and 2023.
Finally, we considered not finalizing
adopting the revised OMB delineations
listed in OMB Bulletin 23–01. However,
we have historically adopted the latest
OMB delineations in subsequent
rulemaking after a new OMB Bulletin is
released. We continue to believe it is
important for the HH PPS wage index to
use the latest OMB delineations
available in order to maintain a more
accurate and up-to-date payment system
that reflects the reality of population
shifts and labor market conditions.
2. Home IVIG Items and Services
For the CY 2025 HH PPS, we did not
consider alternatives to updating the
home IVIG items and services payment
for CY 2025 because section 1842(o)(8)
of the Act requires the Secretary to
establish a separate bundled payment to
the supplier for all items and services
related to the administration of
intravenous immune globulin to an
individual in the patient’s home during
a calendar day effective January 1, 2024,
and to annually update this rate.
F. Accounting Statements and Tables
1. HH PPS
As required by OMB Circular A–4
(available at https://
www.whitehouse.gov/wp-content/
uploads/legacy_drupal_files/omb/
circulars/A4/a-4.pdf), in table 38, we
have prepared an accounting statement
showing the classification of the
transfers and benefits associated with
the CY 2025 HH PPS provisions of this
final rule.
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Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
88483
TABLE 38: ACCOUNTING STATEMENT: HH PPS CLASSIFICATION OF
ESTIMATED TRANSFERS AND BENEFITS, FROM CY 2024 TO CY 2025
Category
Annualized Monetized Transfers
Bearers of Transfer Gain
2. HH QRP
Transfers
$85 million
Medicare HHAs
www.whitehouse.gov/wp-content/
uploads/legacy_drupal_files/omb/
circulars/A4/a-4.pdf), in table 39, we
have prepared an accounting statement
As required by OMB Circular A–4
(available at https://
showing the classification of the costs
associated with the ICRs for the
proposed HH QRP provisions in CY
2027.
TABLE 39: HH QRP ESTIMATED COSTS FROM CY 2025 TO CY 2027
Category
Costs
The total economic impact of these proposals including the
addition of one Living Situation item, two Food items, and
one Utilities item, and the modification of the current
Transportation item proposed for implementation in CY 2027
$12,604,895 (2% Discount Rate)
We received no comments on the
proposal and therefore are finalizing
this provision without modification.
3. Home IVIG Items and Services
As required by OMB Circular A–4
(available at https://
www.whitehouse.gov/wp-content/
uploads/legacy_drupal_files/omb/
circulars/A4/a-4.pdf), in table 40, we
have prepared an accounting statement
showing the classification of the
transfers and benefits associated with
the CY 2025 IVIG provisions of this final
rule.
TABLE 40: ACCOUNTING STATEMENT: IVIG CLASSIFICATION OF ESTIMATED
TRANSFERS AND BENEFITS CY 2025
Category
Annualized Monetized Transfers
Bearers of Transfer Gain
G. Regulatory Flexibility Act (RFA)
industry title ‘‘Home Health Care
Services’’ and corresponding NAICS
code 621610 in determining impacts for
small entities. The NAICS code 621610
has a size standard of $19 million 141
and approximately 96 percent of HHAs
are considered small entities. Table 41
shows the number of firms, revenue,
and estimated impact per home health
care service category.
ER07NO24.070 ER07NO24.071
HHAs are small entities, as that is the
term used in the RFA. Individuals and
States are not included in the definition
of a small entity.
The North American Industry
Classification System (NAICS) was
adopted in 1997 and is the current
standard used by the Federal statistical
agencies related to the U.S. business
economy. We utilized the NAICS U.S.
141 https://www.sba.gov/sites/sbagov/files/202303/Table%20of%20Size%20Standards_
Effective%20March%2017%2C%202023.xlsx.
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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. In addition,
Transfers
$250,000
Medicare DMEPOS suppliers
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Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
TABLE 41: NUMBER OF FIRMS, REVENUE, AND ESTIMATED IMPACT OF HOME
HEALTH CARE SERVICES BY NAICS CODE 621610
NAICS
Code
621610
621610
621610
621610
621610
621610
621610
621610
621610
621610
621610
NAICS Description
Home Health Care Services
Home Health Care Services
Home Health Care Services
Home Health Care Services
Home Health Care Services
Home Health Care Services
Home Health Care Services
Home Health Care Services
Home Health Care Services
Home Health Care Services
Home Health Care Services
Enterprise Size
<100
100-499
500-999
1,000-2,499
2,500-4,999
5,000-7,499
7,500-9,999
10,000-14,999
15,000-19,999
;:::20,000
Total
Number
of Firms
5,861
5,687
3,342
4,434
1,951
672
356
346
191
961
23,801
Receipts
($1,000)
210,697
1,504,668
2,430,807
7,040,174
6,657,387
3,912,082
2,910,943
3,767,710
2,750,180
51,776,636
82,961,284
Estimated
Average Im pact
($1,000) per
Enterprise Size
$35.95
$264.58
$727.35
$1,587.77
$3,412.29
$5,821.55
$8,176.81
$10,889.34
$14,398.85
$53,877.87
$3,485.62
The economic impact assessment is
based on estimated Medicare payments
(revenues) and HHS’s practice in
interpreting the RFA is to consider
effects economically ‘‘significant’’ on a
‘‘substantial’’ number of small entities
only if greater than 5 percent of
providers reach a threshold of 3 to 5
percent or more of total revenue or total
costs. The majority of HHAs’ visits are
Medicare paid visits and therefore the
majority of HHAs’ revenue consists of
Medicare payments. We detail the CY
2025 HHA impacts by facility type and
area of the country in table 35.
Specifically, we estimate that the net
impact of the policies in this final rule
will only have a significant impact on
HHAs in the East South Central Region,
which is reflected in the last column in
table 35 as a 3.2 percent increase in
revenue when comparing CY 2025
payments to estimated CY 2024
payments. The East South Central
represents 3.7 percent (357 of 9638) of
the number of HHAs. HHAs in all other
regions will experience net impacts
ranging from ¥1.5 percent (Pacific
Region) to 1.9 percent (West South
Central). Furthermore, in section IX.E.
of this final rule (Alternatives
Considered), we provide a detailed
analysis of the alternatives considered
for the various provisions in this final
rule. As a result, based on our analysis,
we conclude that the provisions in this
final rule will not result in an estimated
total impact of 3 to 5 percent or more
on Medicare revenue for greater than 5
percent of HHAs. Therefore, the
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Secretary certifies that this final rule
will not have significant economic
impact on a substantial number of small
entities. We received no comments on
the overall RFA analysis.
This RFA section along with the RIA
constitutes our final regulatory
flexibility analysis.
In addition, section 1102(b) of the Act
requires us to prepare an RIA if a rule
may have a significant impact on the
operations of a substantial number of
small rural hospitals. This analysis must
conform to the provisions of section 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 is not applicable to hospitals.
Therefore, the Secretary has certified
that this final rule would not have a
significant economic impact on the
operations of small rural hospitals.
H. Unfunded Mandates Reform Act
(UMRA)
Section 202 of UMRA 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 2024, that
threshold is approximately $183
million. This rule will not impose a
mandate that will result in the
expenditure by State, local, and Tribal
governments, in the aggregate, or by the
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Fmt 4701
Sfmt 4700
private sector, of more than $183
million in any one year.
I. Federalism
Executive Order 13132 establishes
certain requirements that an agency
must meet when it promulgates a
proposed rule (and subsequent final
rule) that imposes substantial direct
requirement costs on State and local
governments, preempts State law, or
otherwise has federalism implications.
We have reviewed this final rule under
these criteria of Executive Order 13132
and have determined that it would not
impose substantial direct costs on State
or local governments.
J. Conclusion
In conclusion, we estimated that the
provisions in this rule will result in an
estimated net increase in home health
payments of 0.5 percent for CY 2025
($85 million). The $85 million increase
in estimated payments for CY 2025
reflects the effects of the final CY 2025
home health payment update percentage
increase of 2.7 percent ($460 million
increase), a 0.4 percent decrease in
payments due to the new higher FDL
ratio, which will decrease outlier
payments in order to target to pay no
more than 2.5 percent of total payments
as outlier payments ($70 million
decrease), and an estimated 1.8 percent
decrease in payments that reflects the
effects of the permanent behavior
adjustment ($305 million decrease). In
addition, the estimated impact of the
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ER07NO24.072
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Source: Data obtained from United States Census Bureau table "us_6digitnaics_rcptsize_2017" (SOURCE: 2017 County
Business Patterns and Economic Census); Release Date: 5/28/2021: https://www2.census.gov/programssurveys/susb/tables/2017/.
Notes: Estimated impact is calculated as Receipts ($1,000)/Number of firms. For the total, this is the average estimated impact
across all number of firms.
Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 / Rules and Regulations
home IVIG items and services payment
for CY 2025 is an increase of $250,000.
K. Waiver Fiscal Responsibility Act
Requirements
List of Subjects
42 CFR Part 424
Emergency medical services, Health
facilities, Health professions, Medicare,
Reporting and recordkeeping
requirements.
42 CFR Part 483
Grant programs—health, Health
facilities, Health professions, Health
records, Medicaid, Medicare, Nursing
homes, Nutrition, Reporting and
recordkeeping requirements, Safety.
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 follows:
PART 424–CONDITIONS FOR
MEDICARE PAYMENT
1. The authority for part 424
continues to read as follows:
■
Authority: 42 U.S.C. 1302 and 1395hh.
2. Section 424.527 is amended by
adding paragraph (a)(4) to read as
follows:
■
§ 424.527 Provisional period of enhanced
oversight.
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(a) * * *
(4) A provider or supplier reactivating
the provider’s or supplier’s Medicare
enrollment and billing privileges in
accordance with § 424.540(b).
*
*
*
*
*
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4. Section 483.80 is amended by
revising paragraph (g) to read as follows:
all of the following data elements in a
standardized format and frequency
specified by the Secretary:
(i) Relevant confirmed infections for
staff.
(ii) Supply inventory shortages.
(iii) Staffing shortages.
(iv) Relevant medical
countermeasures and therapeutic
inventories, usage, or both.
§ 483.80
PART 484—HOME HEALTH SERVICES
PART 483—REQUIREMENTS FOR
STATES AND LONG TERM CARE
FACILITIES
3. The authority citation for part 483
continues to read as follows:
■
The Director of OMB has waived the
requirements of section 263 of the Fiscal
Responsibility Act of 2023 (Pub. L. 118–
5) pursuant to sections 265(a)(1) and
(a)(2) of Public Law 118–5.
Chiquita Brooks-LaSure,
Administrator of the Centers for
Medicare & Medicaid Services,
approved this document on October 17,
2024.
88485
Authority: 42 U.S.C. 1302, 1320a–7, 1395i,
1395hh and 1396r.
■
Infection control.
*
*
*
*
*
(g) Respiratory illness reporting—(1)
Ongoing reporting. The facility must
electronically report information on
acute respiratory illnesses, including
influenza, severe acute respiratory
syndrome coronavirus 2 (SARS–CoV–
2)/coronavirus 2019 (COVID–19), and
respiratory syncytial virus (RSV).
(i) The report must be in a
standardized format and frequency
specified by the Secretary.
(ii) To the extent as required by the
Secretary, this report must include all of
the following data elements:
(A) Facility census (defined as the
total number of residents occupying a
bed at this facility for at least 24 hours
during the week of data collection).
(B) Resident vaccination status for a
limited set of respiratory illnesses,
including but not limited to the
following:
(1) Influenza.
(2) SARS–CoV–2/COVID–19.
(3) RSV.
(C) Confirmed, resident cases of a
limited set of respiratory illnesses,
including but not limited to the
following:
(1) Influenza.
(2) SARS–CoV–2/COVID–19.
(3) RSV.
(D) Hospitalized residents with
confirmed cases of a limited set of
respiratory illnesses, including but not
limited to the following:
(1) Influenza.
(2) SARS–CoV–2/COVID–19.
(3) RSV.
(2) Public health emergency (PHE)
reporting. In the event that the Secretary
has declared a national, State, or local
PHE for an acute infectious illness, the
facility must also electronically report
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5. The authority citation for part 484
continues to read as follows:
■
Authority: 42 U.S.C. 1302 and 1395hh.
6. Section 484.105 is amended by
adding paragraph (i) to read as follows:
■
§ 484.105 Condition of participation:
Organization and administration of
services.
*
*
*
*
*
(i) HHA acceptance-to-service. An
HHA must do both of the following:
(1) Develop, implement, and maintain
through an annual review, a patient
acceptance-to-service policy that is
applied consistently to each prospective
patient referred for home health care,
which addresses criteria related to the
HHA’s capacity to provide patient care,
including, but not limited to, all of the
following:
(i) Anticipated needs of the referred
prospective patient.
(ii) Case load and case mix of the
HHA.
(iii) Staffing levels of the HHA.
(iv) Skills and competencies of the
HHA staff.
(2)(i) Make available to the public
accurate information regarding the
services offered by the HHA and any
limitations related to types of specialty
services, service duration, or service
frequency.
(ii) Review the information specified
in paragraph (i)(2)(i) of this section as
frequently as the services are changed,
but no less often than annually.
Xavier Becerra,
Secretary, Department of Health and Human
Services.
[FR Doc. 2024–25441 Filed 11–1–24; 4:15 pm]
BILLING CODE 4120–01–P
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Agencies
[Federal Register Volume 89, Number 216 (Thursday, November 7, 2024)]
[Rules and Regulations]
[Pages 88354-88485]
From the Federal Register Online via the Government Publishing Office [www.gpo.gov]
[FR Doc No: 2024-25441]
[[Page 88353]]
Vol. 89
Thursday,
No. 216
November 7, 2024
Part II
Department of Health and Human Services
-----------------------------------------------------------------------
Centers for Medicare & Medicaid Services
-----------------------------------------------------------------------
42 CFR Parts 424, 483, and 484
Medicare Program; Calendar Year (CY) 2025 Home Health Prospective
Payment System (HH PPS) Rate Update; HH Quality Reporting Program
Requirements; HH Value-Based Purchasing Expanded Model Requirements;
Home Intravenous Immune Globulin (IVIG) Items and Services Rate Update;
and Other Medicare Policies; Final Rule
Federal Register / Vol. 89, No. 216 / Thursday, November 7, 2024 /
Rules and Regulations
[[Page 88354]]
-----------------------------------------------------------------------
DEPARTMENT OF HEALTH AND HUMAN SERVICES
Centers for Medicare & Medicaid Services
42 CFR Parts 424, 483, and 484
[CMS-1803-F]
RIN 0938-AV28
Medicare Program; Calendar Year (CY) 2025 Home Health Prospective
Payment System (HH PPS) Rate Update; HH Quality Reporting Program
Requirements; HH Value-Based Purchasing Expanded Model Requirements;
Home Intravenous Immune Globulin (IVIG) Items and Services Rate Update;
and Other Medicare Policies
AGENCY: Centers for Medicare & Medicaid Services (CMS), Department of
Health and Human Services (HHS).
ACTION: Final rule.
-----------------------------------------------------------------------
SUMMARY: This final rule will set forth routine updates to the Medicare
home health payment rates; the payment rate for the disposable negative
pressure wound therapy (dNPWT) devices; and the intravenous immune
globulin (IVIG) items and services payment rate for CY 2025 in
accordance with existing statutory and regulatory requirements. In
addition, it finalizes changes to the Home Health Quality Reporting
Program (HH QRP) requirements and provides an update on potential
approaches for integrating health equity in the Expanded Health Value
Based Purchasing (HHVBP) Model. It also finalizes a new standard for an
acceptance-to-service policy in the HH conditions of participation
(CoPs). Lastly, it updates provider and supplier enrollment
requirements and changes to the long-term care reporting requirements
for acute respiratory illnesses.
DATES: These regulations are effective on January 1, 2025.
FOR FURTHER INFORMATION CONTACT: Brian Slater, (410) 786-5229, for home
health and home IVIG payment inquiries.
For general information about the Home Health Prospective Payment
System (HH PPS), send your inquiry via email to
[email protected].
For general information about the IVIG Items and Services Payment,
send your inquiry via email to [email protected].
For information about the Home Health Quality Reporting Program (HH
QRP), send your inquiry via email to [email protected].
For more information about the expanded Home Health Value-Based
Purchasing Model, please visit the Expanded HHVBP Model web page at
https://innovation.cms.gov/innovation-models/expanded-home-health-value-based-purchasing-model.
Frank Whelan, (410) 786-1302, for Medicare provider and supplier
enrollment inquiries.
Mary Rossi-Coajou at [email protected] or Molly
Anderson at [email protected], for more information about the
home health conditions of participation (HH CoPs).
Kim Roche at [email protected] or Diane Corning at
[email protected] for information about long term care facility
acute respiratory illness reporting.
SUPPLEMENTARY INFORMATION:
Table of Contents
I. Executive Summary and Issuance of the Final Rule
A. Executive Summary
B. Issuance of the Proposed Rule
II. Home Health Prospective Payment System
A. Overview of the Home Health Prospective Payment System
B. Monitoring the Effects of the Implementation of PDGM
C. CY 2025 Final Rule Payment Adjustments Under the HH PPS
D. CY 2025 Home Health Low Utilization Payment Adjustment (LUPA)
Thresholds, Functional Impairment Levels, Comorbidity Sub-Groups,
Case-Mix Weights, and Reassignment of Specific ICD-10-CM Codes Under
the PDGM
III. Home Health Quality Reporting Program (HH QRP)
A. Background and Statutory Authority
B. Summary of the Provision of This Final Rule
C. Quality Measures Currently Adopted for the CY 2024 HH QRP
D. Proposal To Collect Four New Items as Standardized Patient
Assessment Data Elements and Modify One Item Collected as a
Standardized Patient Assessment Data Element Beginning With the CY
2027 HH QRP
E. Proposal To Update OASIS All-Payer Data Collection
F. Form, Manner, and Timing of Data Submission Under the HH QRP
G. HH QRP Quality Measure Concepts Under Consideration for
Future Years--Request for Information (RFI)
IV. The Expanded Home Health Value-Based Purchasing (HHVBP) Model
A. Background
B. Request for Information on Future Performance Measure
Concepts for the Expanded HHVBP Model
C. Future Approaches to Health Equity in the Expanded HHVBP
Model
D. Social Risk Factors
E. Approaches to a Potential Health Equity Adjustment for the
Expanded HHVBP Model
F. Other Health Equity Measures
V. Medicare Home Intravenous Immune Globulin (IVIG) Items and
Services
A. General Background
B. Scope of Expanded IVIG Benefit
C. Home IVIG Administration Items and Services Payment
D. Home IVIG Items and Services Payment Rate
VI. Home Health Agency Condition of Participation (CoP) Changes and
Long Term Care (LTC) Facility Requirements for Acute Respiratory
Illness Reporting
A. Home Health Agency CoP Changes
B. Long-Term Care (LTC) Requirements for Acute Respiratory
Illness Reporting
VII. Provider Enrollment--Provisional Period of Enhanced Oversight
A. Background
B. Provisional Period of Enhanced Oversight (PPEO)
VIII. Collection of Information Requirements
A. Statutory Requirement for the Solicitation of Comments
B. Information Collection Requirements (ICRs)
IX. Regulatory Impact Analysis
A. Statement of Need
B. Overall Impact
C. Detailed Economic Analysis
D. Regulatory Review Cost Estimation
E. Alternatives Considered
F. Accounting Statements and Tables
G. Regulatory Flexibility Act (RFA)
H. Unfunded Mandates Reform Act (UMRA)
I. Federalism
J. Conclusion
K. Waiver Fiscal Responsibility Act Requirements
I. Executive Summary and Issuance of the Final Rule
A. Executive Summary
1. Purpose and Legal Authority
a. Home Health Prospective Payment System (HH PPS)
As required under section 1895(b) of the Social Security Act (the
Act), this final rule updates the CY 2025 payment rates for home health
agencies (HHAs) and the CY 2025 payment rate for disposable negative
pressure wound therapy (dNPWT) devices. This rule finalizes a crosswalk
for mapping the Outcome and Assessment Information Set-D (OASIS-D) data
elements to the equivalent OASIS-E data elements for use in the
methodology to analyze the difference between assumed versus actual
behavior change on estimated aggregate expenditures and finalizes a
permanent adjustment to the CY 2025 home health base payment rate. In
addition, this rule finalizes the recalibrated PDGM case-mix weights
and updates the low-utilization payment adjustment (LUPA) thresholds,
functional impairment levels, and
[[Page 88355]]
comorbidity adjustment subgroups under section 1895(b)(4)(A)(i) and
(b)(4)(B) of the Act for 30-day periods of care in CY 2025; finalizes
the proposal to adopt the most recent Office of Management and Budget
(OMB) Core-Based Statistical Area (CBSA) delineations for the home
health wage index; and finalizes an occupational therapy (OT) LUPA add-
on factor and updates the physical therapy (PT), speech-language
pathology (SLP), and skilled nursing (SN) LUPA add-on factors.
Additionally, this rule updates the CY 2025 fixed-dollar loss ratio
(FDL) for outlier payments (so that outlier payments as a percentage of
estimated total payments are projected not to exceed 2.5 percent, as
required by section 1895(b)(5)(A) of the Act).
b. Home Health (HH) Quality Reporting Program (QRP)
In accordance with the statutory authority at section
1895(b)(3)(B)(v) of the Act, we are finalizing updated policies. We are
finalizing a proposal to add four new assessment items and modify one
assessment item on the OASIS, update the removal of the suspension of
OASIS all payer data collection and summarize public feedback on future
HH QRP quality measure (QM) concepts.
c. Expanded Home Health Value-Based Purchasing (HHVBP) Model
In accordance with the statutory authority at section 1115A of the
Act, we are doing the following for the expanded HHVBP Model: (1)
providing an update on potential approaches for integrating health
equity that are being considered; and (2) summarizing comments we
received on a request for information (RFI) related to potential future
performance measure concepts.
d. Home Intravenous Immune Globulin (IVIG) Items and Services
In section V.D.1. of this rule, we finalize the rate for the CY
2025 IVIG items and services payment under the home intravenous immune
globulin (IVIG) benefit.
e. Home Health CoP Changes
In section VI.A. of this final rule, we are finalizing a new
standard at Sec. 484.105(i) that will require HHAs to develop,
implement, and maintain an acceptance-to-service policy that is applied
consistently to each prospective patient referred for home health care.
As finalized, the policy must address, at minimum, the following
criteria related to the HHA's capacity to provide patient care: the
anticipated needs of the referred prospective patient, the HHA's case
load and case mix, the HHA's staffing levels, and the skills and
competencies of the HHA staff. We also finalized a policy that HHAs
will be required to make specified information available to the public
that is reviewed whenever services are changed, and no less often than
annually.
f. Provider and Supplier Enrollment Requirements
Section 1866(j)(3)(A) of the Act states that the Secretary shall
establish procedures to provide for a provisional period of between 30
days and 1 year during which new providers and suppliers--as the
Secretary determines appropriate, including categories of providers or
suppliers--will be subject to enhanced oversight. We are finalizing our
proposal to expand the definition of ``new provider or supplier'' in
Sec. 424.527(a) (solely for purposes of applying a provisional period
of enhanced oversight) to include providers and suppliers that are
reactivating their Medicare enrollment and billing privileges.
g. Long-Term Care (LTC) Facility Requirements for Acute Respiratory
Illness Reporting
The current LTC requirements for reporting COVID-19 related data
expire on December 31, 2024, except for reporting COVID-19 resident and
staff vaccination status. Given the utility of LTC facility data, we
finalized a requirement to replace these requirements with streamlined
continued data reporting requirements for certain respiratory
illnesses. We are also finalizing a requirement that LTC facilities
submit additional, related data elements that could be activated in the
event of a future acute respiratory illness public health emergency
(PHE). We are not finalizing our proposal to increase data reporting if
a significant threat for a PHE for an acute infectious illness exists.
2. Summary of the Provisions of This Final Rule
a. Home Health Prospective Payment System (HH PPS)
In section II.B.1. of this final rule, we discuss comments related
to the monitoring and data analysis on PDGM utilization.
In section II.C.1 of this final rule, we finalize a permanent
adjustment to the base payment rate under the HH PPS. Additionally, we
finalize a crosswalk for mapping the OASIS-D data elements to the
equivalent OASIS-E data elements for use in the methodology to analyze
the difference between assumed versus actual behavior change on
estimated aggregate expenditures.
In section II.D. of this final rule, we recalibrate the CY 2025
home health LUPA thresholds, case-mix weights, and co-morbidity
subgroups. Additionally, we discuss providers' suggestions regarding
the reassignment of specific ICD-10-CM diagnosis codes under the PDGM.
In section II.E. of this final rule, we finalize a policy updating
the home health wage index using the new labor market delineations from
the July 21, 2023, OMB Bulletin No. 23-01 based on data collected from
the 2020 Decennial Census. This section also includes the CY 2025
national, standardized 30-day period final payment rate, the final CY
2025 national per-visit payment amounts updated by the home health
payment update percentage, and the final OT, PT, SLP, and SN LUPA add-
on factors. The final home health payment update percentage for CY 2025
is 2.7 percent. Additionally, this rule finalizes the CY 2025 FDL ratio
to ensure that aggregate outlier payments do not exceed 2.5 percent of
the total aggregate payments, as required by section 1895(b)(5)(A) of
the Act.
In section II.F.4. of this final rule, we finalize the CY 2025
payment rate for dNPWT devices.
b. Home Health Quality Reporting Program (HH QRP)
In section III. of this final rule, we finalize the collection of
four new items as standardized patient assessment data elements in the
social determinants of health (SDOH) category and modify one item
collected as a standardized patient assessment data element in the SDOH
category beginning with the CY 2027 HH QRP. The four assessment items
finalized for collection are: one Living Situation item, two Food
items, and one Utilities item. We also finalize a policy to modify the
current Transportation item beginning with the CY 2027 HH QRP. We are
also proposed an update to the removal of the suspension of OASIS all-
payer data collection to change all-payer data collection to begin with
the start of care OASIS data collection timepoint instead of discharge
timepoint. Lastly, we seek input on future HH QRP measure concepts.
c. Expanded Home Health Value Based Purchasing (HHVBP) Model
In section IV. of this final rule, we summarize comments received
on an RFI related to future measure concepts for the expanded HHVBP
Model. We are also including an update to the RFI, ``Future Approaches
to Health Equity in the Expanded HHVBP Model,'' that was
[[Page 88356]]
published in the CY 2023 HH PPS final rule (87 FR 66874, November 4,
2022) and subsequently updated in the CY 2024 HH PPS final rule (88 FR
77687, November 13, 2023).
d. Home Intravenous Immune Globulin (IVIG) Items and Services
In section V.D.1. of this final rule, we finalize the CY 2025 IVIG
items and services payment rate under the home intravenous immune
globulin (IVIG) benefit.
e. Home Health CoP Changes
In section VI.A. of this final rule, we finalized a new standard at
Sec. 484.105(d) that will require HHAs to develop, implement, and
maintain an acceptance-to-service policy that is applied consistently
to each prospective patient referred for home health care. We have also
finalized a requirement that the policy must address, at minimum, the
following criteria related to the HHA's capacity to provide patient
care: the anticipated needs of the referred prospective patient, the
HHA's case load and case mix, the HHA's staffing levels, and the skills
and competencies of the HHA staff. We also finalized a requirement that
HHAs make specified information available to the public that is
reviewed at least annually. In the proposed rule, we sought public
comments on other factors that influence the patient referral and
intake processes. In this final rule, we summarize comments received.
f. Provider and Supplier Enrollment Requirements
Section 1866(j)(3)(A) of the Act states that the Secretary may
establish procedures to provide for a provisional period of between 30
days and 1 year during which new providers and suppliers--as the
Secretary determines appropriate, including categories of providers or
suppliers--will be subject to enhanced oversight. We are finalizing our
proposal to expand the definition of ``new provider or supplier''
(solely for purposes of applying a PPEO) to include providers and
suppliers that are reactivating their Medicare enrollment and billing
privileges.
g. Long-Term Care (LTC) Requirements for Acute Respiratory Illness
Reporting
The current LTC requirements for reporting COVID-19 related data
expire on December 31, 2024, except for reporting COVID-19 resident and
staff vaccination status. Given the utility of LTC facility data, we
finalized to replace these requirements with streamlined continued data
reporting requirements for certain respiratory illnesses. We are also
finalizing additional, related data elements that could be activated in
the event of a future acute respiratory illness PHE. We are not
finalizing our proposal to increase data reporting if a significant
threat for a PHE for an acute infectious illness exists.
3. Summary of Costs, Transfers, and Benefits
[GRAPHIC] [TIFF OMITTED] TR07NO24.000
[[Page 88357]]
[GRAPHIC] [TIFF OMITTED] TR07NO24.001
B. Issuance of the Proposed Rule
The proposed rule, titled ``Medicare Program; Calendar Year (CY)
2025 Home Health Prospective Payment System (HH PPS) Rate Update; HH
Quality Reporting Program Requirements; HH Value-Based Purchasing
Expanded Model Requirements; Home Intravenous Immune Globulin (IVIG)
Items and Services Rate Update; and Other Medicare Policies,'' appeared
in the Federal Register on July 3, 2024 (89 FR 55312) (hereinafter
referred to as the CY 2025 HH PPS proposed rule or July 2024 proposed
rule).
The proposed rule set forth proposed payment and policy changes to
the Medicare Home Health prospective payment system for CY 2025,
proposed changes regarding other programs and policies, as well as
solicited comments.
In the sections of the rule that follow, we will present the
proposed policies and summarize and respond to the public comments
received.
II. Home Health Prospective Payment System
A. Overview of the Home Health Prospective Payment System
1. Statutory Background
Section 1895(b)(1) of the Act requires the Secretary to establish a
Home Health Prospective Payment System (HH PPS) for all costs of home
health services paid under Medicare. Section 1895(b)(2) of the Act
requires that, in defining a prospective payment amount, the Secretary
will consider an appropriate unit of service and the number, type, and
duration of visits provided within that unit, potential changes in the
mix of services provided within that unit and their cost, and a general
system design that provides for continued access to quality services.
In accordance with the statute, as amended by the Balanced Budget Act
of 1997 (BBA) (Pub. L. 105-33), we issued a final rule which appeared
in the July 3, 2000, Federal Register (65 FR 41128) to implement the HH
PPS legislation.
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 home health agencies (HHAs) to submit data for
purposes of measuring health care quality, and linking the quality data
submission to the annual applicable home health payment update
percentage increase. This data submission requirement is applicable for
CY 2007 and each subsequent year. If an HHA does not submit quality
data, the home health market basket percentage increase is reduced by 2
percentage points. In the November 9, 2006, Federal Register (71 FR
65935), we issued 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. The pay-for-reporting requirement was
implemented on January 1, 2007.
Section 51001(a)(1)(B) of the Bipartisan Budget Act of 2018 (BBA of
2018) (Pub. L. 115-123) amended
[[Page 88358]]
section 1895(b) of the Act to require a change to the home health unit
of payment to 30-day periods beginning January 1, 2020. Section
51001(a)(2)(A) of the BBA of 2018 added a new subclause (iv) under
section 1895(b)(3)(A) of the Act, requiring the Secretary to calculate
a standard prospective payment amount (or amounts) for 30-day units of
service furnished that end during the 12-month period beginning January
1, 2020, in a budget neutral manner, such that estimated aggregate
expenditures under the HH PPS during CY 2020 are equal to the estimated
aggregate expenditures that otherwise will have been made under the HH
PPS during CY 2020 in the absence of the change to a 30-day unit of
service. Section 1895(b)(3)(A)(iv) of the Act requires that the
calculation of the standard prospective payment amount (or amounts) for
CY 2020 be made before the application of the annual update to the
standard prospective payment amount as required by section
1895(b)(3)(B) of the Act.
Additionally, section 1895(b)(3)(A)(iv) of the Act requires that in
calculating the standard prospective payment amount (or amounts), the
Secretary must make assumptions about behavior changes that could occur
as a result of the implementation of the 30-day unit of service under
section 1895(b)(2)(B) of the Act and case-mix adjustment factors
established under section 1895(b)(4)(B) of the Act. Section
1895(b)(3)(A)(iv) of the Act further requires the Secretary to provide
a description of the behavior assumptions made in notice and comment
rulemaking. CMS finalized these behavior assumptions in the CY 2019 HH
PPS final rule with comment period (83 FR 56461).
Section 51001(a)(2)(B) of the BBA of 2018 also added a new
subparagraph (D) to section 1895(b)(3) of the Act. Section
1895(b)(3)(D)(i) of the Act requires the Secretary annually to
determine the impact of differences between assumed behavior changes,
as described in section 1895(b)(3)(A)(iv) of the Act, and actual
behavior changes on estimated aggregate expenditures under the HH PPS
with respect to years beginning with 2020 and ending with 2026. Section
1895(b)(3)(D)(ii) of the Act requires the Secretary, at a time and in a
manner determined appropriate, through notice and comment rulemaking,
to provide for one or more permanent increases or decreases to the
standard prospective payment amount (or amounts) for applicable years,
on a prospective basis, to offset for such increases or decreases in
estimated aggregate expenditures, as determined under section
1895(b)(3)(D)(i) of the Act. Additionally, section 1895(b)(3)(D)(iii)
of the Act requires the Secretary, at a time and in a manner determined
appropriate, through notice and comment rulemaking, to provide for one
or more temporary increases or decreases to the payment amount for a
unit of home health services for applicable years, on a prospective
basis, to offset for such increases or decreases in estimated aggregate
expenditures, as determined under section 1895(b)(3)(D)(i) of the Act.
Such a temporary increase or decrease shall apply only with respect to
the year for which such temporary increase or decrease is made, and the
Secretary shall not take into account such a temporary increase or
decrease in computing the payment amount for a unit of home health
services for a subsequent year. Finally, section 51001(a)(3) of the BBA
of 2018 amends section 1895(b)(4)(B) of the Act by adding a new clause
(ii) to require the Secretary to eliminate the use of therapy
thresholds in the case-mix system for CY 2020 and subsequent years.
Division FF, section 4136 of the Consolidated Appropriations Act,
2023 (CAA, 2023) (Pub. L. 117-328) amended section 1834(s)(3)(A) of the
Act to require that, beginning with 2024, the separate payment for
furnishing negative pressure wound therapy (NPWT) be for just the
device and not for nursing and therapy services. Payment for nursing
and therapy services are to be included as part of payments under the
HH PPS. The separate payment for 2024 was required to be equal to the
supply price used to determine the relative value for the service under
the Medicare Physician Fee Schedule (as of January 1, 2022) for the
applicable disposable device updated by the percentage increase in the
Consumer Price Index for All Urban Consumers (CPI-U). The separate
payment for 2025 and each subsequent year is to be the payment amount
for the previous year updated by the percentage increase in the CPI-U
(United States city average) for the 12-month period ending in June of
the previous year reduced by the productivity adjustment as described
in section 1886(b)(3)(B)(xi)(II) of the Act for such year. The CAA,
2023 also added section 1834(s)(4) of the Act to require that beginning
with 2024, as part of submitting claims for the separate payment, the
Secretary shall accept, and process claims submitted using the type of
bill that is most commonly used by home health agencies to bill
services under a home health plan of care.
2. Current System for Payment of Home Health Services
For home health periods of care beginning on or after January 1,
2020, Medicare makes payment under the HH PPS on the basis of a
national, standardized 30-day period payment rate that is adjusted for
case-mix and area wage differences in accordance with section
51001(a)(1)(B) of the BBA of 2018. The national, standardized 30-day
period payment rate includes payment for the six home health
disciplines (skilled nursing, home health aide, physical therapy,
speech-language pathology, occupational therapy, and medical social
services). Payment for non-routine supplies (NRS) is also part of the
national, standardized 30-day period rate. Durable medical equipment
(DME) provided as a home health service, as defined in section 1861(m)
of the Act, is paid the fee schedule amount or is paid through the
competitive bidding program and such payment is not included in the
national, standardized 30-day period payment amount. Additionally, the
30-day period payment rate does not include payment for certain
injectable osteoporosis drugs and disposable negative pressure wound
therapy (dNPWT) devices, but such drugs and devices must be billed by
the HHA while a patient is under a home health plan of care, as the law
requires consolidated billing of osteoporosis drugs and dNPWT devices.
To better align payment with patient care needs and to better
ensure that clinically complex and ill beneficiaries have adequate
access to home health care, in the CY 2019 HH PPS final rule with
comment period (83 FR 56406), we finalized case-mix methodology
refinements through the Patient-Driven Groupings Model (PDGM) for home
health periods of care beginning on or after January 1, 2020. The PDGM
did not change eligibility or coverage criteria for Medicare home
health services, and as long as the individual meets the criteria for
home health services as described at 42 CFR 409.42, the individual can
receive Medicare home health services, including therapy services. For
more information about the role of therapy services under the PDGM, we
refer readers to the Medicare Learning Network (MLN) Matters article
SE20005 available at https://www.cms.gov/regulations-and-guidanceguidancetransmittals2020-transmittals/se20005. To adjust for
case-mix for 30-day periods of care beginning on and after January 1,
2020, the HH PPS uses a 432-category case-mix classification system to
assign patients to a home health resource group (HHRG) using patient
[[Page 88359]]
characteristics and other clinical information from Medicare claims and
the Outcome and Assessment Information Set (OASIS) assessment
instrument. These 432 HHRGs represent the different payment groups
based on five main case-mix categories under the PDGM, as shown in
figure 1. Each HHRG has an associated case-mix weight that is used in
calculating the payment for a 30-day period of care. For periods of
care with visits less than the low-utilization payment adjustment
(LUPA) threshold for the HHRG, Medicare pays national per-visit rates
based on the discipline(s) providing the services. Medicare also
adjusts the national standardized 30-day period payment rate for
certain intervening events that are subject to a partial payment
adjustment. For certain cases that exceed a specific cost threshold, an
outlier adjustment may also be available.
Under this case-mix methodology, case-mix weights are generated for
each of the different PDGM payment groups by regressing resource use
for each of the five categories (admission source, timing, clinical
grouping, functional impairment level, and comorbidity adjustment)
using a fixed effects model. A detailed description of each of the
case-mix variables under the PDGM have been described previously, and
we refer readers to the CY 2021 HH PPS final rule (85 FR 70303 through
70305).
[GRAPHIC] [TIFF OMITTED] TR07NO24.002
B. Monitoring the Effects of the Implementation of PDGM
1. Routine PDGM Monitoring
The CY 2025 HH PPS proposed rule included analysis of Medicare home
health benefit utilization, including overall total 30-day periods of
care and average periods of care per HHA user; distribution of the type
of visits in a 30-day period of care; the percentage of periods that
receive the LUPA; estimated costs; the percentage of 30-day periods of
care by clinical group, comorbidity adjustment, admission source,
timing, and functional impairment level; and the proportion of 30-day
periods of care with and without
[[Page 88360]]
any therapy visits, nursing visits, and/or aide/social worker visits.
We also included monitoring of home health visits using
telecommunications technology and remote patient monitoring, which we
began collecting on claims submitted voluntarily beginning January 1,
2023, and which was required beginning July 1, 2023.
Comment: Overall, commenters discussed the home health utilization
trends presented in the monitoring concurrently with comments regarding
access to the benefit and generally stated that they believe a decline
in utilization is not related to a reduced need for home health
services. These commenters encouraged CMS to develop policies that
ensure that the PDGM does not continue to affect access to care as
indicated by these declining utilization trends. A commenter also
suggested CMS expand data collection to include geographic, racial,
ethnic, socio-economic, sexual orientation, and gender identity to
highlight disparities in home health care services.
Response: We will continue to monitor and analyze home health
trends and vulnerabilities within the home health payment system and
appreciate the commenter's suggestion for additional monitoring. We
respond to comments discussing declining trends in utilization as they
relate to access to care in our discussion in section B.1.f. of this
final rule, and refer readers to that discussion.
C. CY 2025 Final Rule Payment Adjustments Under the HH PPS
1. Finalized Behavior Assumption Adjustments Under the HH PPS
a. Background
As discussed in section II.A.1. of this final rule, starting in CY
2020, the Secretary was required by section 1895(b)(2)(B) of the Act to
change the unit of payment under the HH PPS from a 60-day episode of
care to a 30-day period of care. CMS was also required to make
assumptions about behavior changes that could occur as a result of the
implementation of the 30-day unit of payment and the case-mix
adjustment factors that eliminated the use of therapy thresholds. In
the CY 2019 HH PPS final rule with comment period (83 FR 56455), we
finalized three behavior change assumptions which were also described
in the CY 2022 and 2023 HH PPS rules (86 FR 35890, 87 FR 37614, and 87
FR 66795 through 66796). In the CY 2020 HH PPS final rule with comment
period (84 FR 60519), we included these behavioral change assumptions
in the calculation of the 30-day budget neutral payment amount for CY
2020, finalizing a negative 4.36 percent behavior change assumption
adjustment (``assumed behaviors''). We did not propose any changes for
CYs 2021 and 2022 relating to the behavior assumptions finalized in the
CY 2019 HH PPS final rule with comment period, or to the negative 4.36
percent behavior change assumption adjustment, finalized in the CY 2020
HH PPS final rule with comment period.
In the CY 2023 HH PPS final rule (87 FR 66796), we stated, based on
our annual monitoring at that time, the three assumed behavior changes
did occur as a result of the implementation of the PDGM and that other
behaviors, such as changes in the provision of therapy and changes in
functional impairment levels also occurred. We also reminded readers
that in the CY 2020 HH PPS final rule with comment period (84 FR
60513), we stated we interpret actual behavior changes to encompass
both behavior changes that were previously outlined as assumed by CMS,
and other behavior changes not identified at the time the budget-
neutral 30-day payment rate for CY 2020 was established. In the CY 2023
HH PPS final rule (87 FR 66796), we provided supporting evidence that
indicated the number of therapy visits declined in CYs 2020 and 2021,
as well as a slight decline in therapy visits beginning in CY 2019
after the finalization of the removal of therapy thresholds, but prior
to implementation of the PDGM. In section II.B.1. of the CY 2025 HH PPS
proposed rule (89 FR 55318), our analysis continued to show overall the
actual 30-day periods are similar to the simulated 30-day periods and
there continues to be a decline in therapy visits, indicating that HHAs
changed their behavior to reduce therapy visits. Although the analysis
demonstrates evidence of individual behavior changes (for example, in
the volume of visits for LUPAs, therapy sessions, etc.), we use the
entirety of the behaviors in order to calculate estimated aggregate
expenditures. The law instructs us to ensure that estimated aggregate
expenditures under the PDGM are equal to the estimated aggregate
expenditures that otherwise will have been made under the prior system.
Section 4142(a) of the CAA, 2023 required CMS to present, to the
extent practicable, a description of the actual behavior changes
occurring under the HH PPS from CYs 2020-2026. This subsection of the
CAA, 2023 also required CMS to provide datasets underlying the
simulated 60-day episodes and discuss and provide time for stakeholders
to provide input and ask questions on the payment rate development for
CY 2023. CMS complied with these requirements by posting online both
the supplemental limited data set (LDS) and descriptive files and the
description of actual behavior changes that affected CY 2023 payment
rate development. Additionally, on March 29, 2023, CMS conducted a
webinar entitled ``Medicare Home Health Prospective Payment System (HH
PPS) Calendar Year (CY) 2023 Behavior Change Recap, 60-Day Episode
Construction Overview, and Payment Rate Development.'' The webinar was
open to the public and discussed the actual behavior changes that
occurred upon implementation of the PDGM, our approach used to
construct simulated 60-day episodes using 30-day periods, payment rate
development for CY 2023, and information on the supplemental data files
containing information on the simulated 60-day episodes and actual 30-
day periods used in calculating the permanent adjustment to the payment
rate. Materials from the webinar, including the presentation and the CY
2023 descriptive statistics from the supplemental LDS files, containing
information on the number of simulated 60-day episodes and actual 30-
day periods in CY 2021 that were used to construct the permanent
adjustment to the payment rate, as well as information such as the
number of episodes and periods by case-mix group, case-mix weights, and
simulated payments, can be found on the Home Health Patient-Driven
Groupings Model web page at https://www.cms.gov/medicare/medicare-fee-for-service-payment/homehealthpps/hh-pdgm.
b. Method To Annually Determine the Impact of Differences Between
Assumed Behavior Changes and Actual Behavior Changes on Estimated
Aggregate Expenditures
In the CY 2023 HH PPS final rule (87 FR 66804), we finalized the
methodology to evaluate the impact of the differences between assumed
and actual behavior changes on estimated aggregate expenditures. In the
CY 2024 HH PPS final rule (88 FR 77687 through 77688), we provided an
overview of the methodology with detailed instructions for each step.
The overall methodology as finalized remains the same for evaluating
the impact of behavior changes as required by law; however, due to an
update of the Outcome and Assessment Information Set (OASIS)
instrument, we need to update two minor technical parts and in the CY
2025 proposed rule, proposed to add new assumptions in the first step
(creating simulated 60-day episodes from 30-day periods). These new
[[Page 88361]]
assumptions are described in this section.
Section 1895(b)(3)(B)(v) of the Act requires HHAs to report certain
quality data. As described in regulation at 42 CFR 484.250(a), this
data is required to be reported using the OASIS instrument. Under the
prior 153-group system (and the first three years for assessments
associated with the PDGM completed prior to CY 2023), HHAs submitted
the OASIS-D version. However, OMB approved an updated version of the
OASIS instrument, OASIS-E, on November 30, 2022, effective January 1,
2023. Thus, OASIS-E is the current version of the OASIS instrument used
in the PDGM. The valid OMB control number for this information
collection is 0938-1279.
There are 13 items from the OASIS-D used in the 153-group system
that are included in the OASIS-E; however, the responses for these
items are now only recorded at the start of care (SOC) or resumption of
care (ROC) assessments in the OASIS-E and not at all for OASIS-E
follow-up assessments as shown in the following figure 2.
[GRAPHIC] [TIFF OMITTED] TR07NO24.003
Three items in the OASIS-E differ slightly from the OASIS-D by
incorporating more specific questions and responses than in the OASIS-
D. These three items, as shown in figure 3, ask about therapies
(M1030), vision (M1200), and the frequency of pain interfering with
activity (M1242). Additionally, these items are only asked at SOC/ROC
and not at follow-up in the OASIS-E.
[[Page 88362]]
[GRAPHIC] [TIFF OMITTED] TR07NO24.004
To continue with our finalized methodology and create simulated 60-
day episodes under the 153-group case mix system from 30-day periods
under the PDGM, we need to impute the OASIS-D responses when we only
have an OASIS-E available. For each of the three items, we considered
the clinical relationship between the responses in the OASIS-E items
that differ from the OASIS-D items. CMS also considered the response
distribution between the OASIS-D and OASIS-E items when creating the
mapping of the responses.
CMS proposed the following two assumptions to address the changes
from the OASIS-D to the OASIS-E to continue to create simulated 60-day
episodes from 30-day periods.
If the simulated 60-day episode matches to a SOC or ROC
assessment then we proposed to not impute the 13 items. If the
simulated 60-day episode matches to a follow-up assessment, then we
proposed to look back for the most recent 30-day period that is linked
to a SOC or ROC assessment and impute the 13 responses for follow-up
using the responses at the most recent SOC or ROC assessment. We
proposed that we would limit the look-back period to the beginning of
the calendar year that precedes the calendar year for the claim. For
example, for a simulated 60-day episode with a follow-up assessment on
June 1, 2023, we would look back for a 30-day period linked to a SOC or
ROC assessment that began on or after January 1, 2022. If we cannot
find a SOC or ROC assessment in that time period, we proposed to
exclude the claim from analysis because we would not have sufficient
timely data to impute responses.
If the simulated 60-day episode matches to an OASIS-D
assessment, then we proposed to use the OASIS-D for responses. If the
simulated 60-day episode matches to an OASIS-E assessment, we proposed
applying the following mapping for the therapies, vision, and pain
items to impute responses as these responses are required for accurate
payment calculation under the prior 153-group system. We also proposed
applying the look-back period (that is, beginning of the calendar year
that precedes the calendar year for the claim) as described in the
assumption above, when necessary, when mapping claims.
[[Page 88363]]
[GRAPHIC] [TIFF OMITTED] TR07NO24.005
Note, if an OASIS-E assessment has a response of ``no'' to all
three items (O0110H--IV medication, K0520--Parenteral/IV feeding, and
K0520--Feeding Tube), as shown in figure 5, then the mapping for M1030
would be a response of ``none of the above''.
[GRAPHIC] [TIFF OMITTED] TR07NO24.006
[[Page 88364]]
There was one pain item on the OASIS-D (M1242--Frequency of Pain
Interfering with patient's activity or movement) used for calculating
payments. There are three pain related items on the OASIS-E (J0510--
pain effect on sleep, J0520--pain interference with therapy activities,
and J0530--pain interference with day-to-day activities) that
correspond to the one OASIS-D pain item used for calculating payments.
Therefore, we stated that we believed using the response from J0510,
J0520, or J0530 that reflects the maximum severity would be the most
appropriate for mapping back to the OASIS-D. For example, if J0510
(pain effect on sleep) has a response of ``rarely'', J0520 (pain
interference with therapy activities) has a response of ``frequently'',
and J0530 (pain interference with day-to-day activities) has a response
of ``occasionally'', then we would use the response from J0520
(``frequently'') for mapping as this is the most severe response.
Figure 6 shows the proposed mapping based on the maximum severity
response for each of the three pain items.
[GRAPHIC] [TIFF OMITTED] TR07NO24.007
As the overall methodology was finalized in the CY 2023 HH PPS
final rule (87 FR 66804), the two proposed assumptions described
previously are simply technical updates based on the updated OASIS
instrument to ensure that estimated aggregate expenditures under the
PDGM are equal to the estimated aggregate expenditures that otherwise
would have been made under the prior system for assessing behavior
changes as required by law. We refer readers to the CY 2024 HH PPS
final rule (88 FR 77687 through 77688) for an overview of the overall
methodology with detailed instructions for each step. We received a few
comments on the proposed assumptions related to mapping of the OASIS-E
items.
Comment: A commenter supported the proposed assumptions. Another
commenter expressed concerns related to the difference in the versions
of questions used for mapping and a potential two-year lookback period.
While the commenter did not present an alternative for mapping the
three items missing from OASIS-E, the commenter did recommend a
narrower lookback period of no more than three months.
Response: We appreciate the commenter's thoughtful review and
recommendations. We carefully reevaluated the crosswalk and found a
three-month lookback period could significantly decrease the number of
claims available for analysis, as well as skew the data to potentially
more clinically severe patients, for example, this would generally
limit the data to those patients who are discharged after an inpatient
admission directly to home health care. A significant decrease in the
total number of claims or in a particular type of claim (for example,
community late) may not fully represent the population of home health
patients. However, using an almost two-year look-back period for an
assessment may not provide the most updated functional status of a
beneficiary for the claim being analyzed, as a patient's functional
impairment status may have changed (increased or decreased) in a longer
look-back period. Balancing the need for adequate and unbiased data
with the need for up-to-date data, we evaluated using a 12-month look-
back period and found this timeframe provided the most complete and
accurate data possible. It provides a sufficient number of claims while
also allowing for the use of more updated assessment data than would
have been used in a 24-month look-back period.
Final Decision: After consideration of the public comments and
reevaluation of the proposed timeframe, we are finalizing the following
assumptions for the OASIS-D to OASIS-E crosswalk:
If the simulated 60-day episode matches to a SOC or ROC
assessment then we will not impute the 13 items. If the simulated 60-
day episode matches to an OASIS-E follow-up assessment, then we will
look back for the most recent 30-day period that is linked to a SOC or
ROC assessment and impute the 13 responses for follow-up using the
responses at the most recent SOC or ROC assessment. We will limit the
look-back period to 12-months. For example, a simulated 60-day episode
that began on June 1, 2023, and linked to a follow-up assessment will
be limited to a 30-day period that ended on or after June 1, 2022, and
linked to a SOC or ROC assessment. If we cannot find a SOC or ROC
assessment in that time period, we will exclude the claim from
analysis.
If the simulated 60-day episode matches to an OASIS-D
assessment, then we will use the OASIS-D for the three items (therapies
(M1030), vision (M1200), and the frequency of pain interfering with
activity (M1242)) responses. If the simulated 60-day episode matches to
an OASIS-E
[[Page 88365]]
assessment, we will apply the mapping for the therapies, vision, and
pain items as shown in figures 4-6 to impute responses as these
responses are required for accurate payment calculation under the prior
153-group system. When necessary, we will also apply the same 12-month
look-back period as described in the previous assumption.
c. Calculating Permanent and Temporary Payment Adjustments
To offset prospectively for such increases or decreases in
estimated aggregate expenditures resulting from the impact of
differences between assumed behavior changes and actual behavior
changes, in any given year, we calculate a permanent prospective
adjustment by calculating the percent change between the actual 30-day
base payment rate and the recalculated 30-day base payment rate. This
percent change is converted into an adjustment factor and applied in
the annual rate update process.
To offset retrospectively for such increases or decreases in
estimated aggregate expenditures as a result of the impact of
differences between assumed behavior changes and actual behavior
changes in any given year, we calculated a temporary prospective
adjustment by calculating the dollar amount difference between the
estimated aggregate expenditures from all 30-day periods using the
recalculated 30-day base payment rate, and the aggregate expenditures
for all 30-day periods using the actual 30-day base payment rate for
the same year. In other words, when determining the temporary
retrospective dollar amount, we used the full dataset of actual 30-day
periods using both the actual and recalculated 30-day base payment
rates to ensure that the utilization and distribution of claims are the
same. In accordance with section 1895(b)(3)(D)(iii) of the Act, the
temporary adjustment is to be applied on a prospective basis and shall
apply only with respect to the year for which such temporary increase
or decrease is made. Therefore, after we determine the dollar amount to
be reconciled in any given year, we calculate a temporary adjustment
factor to be applied to the base payment rate for that year. The
temporary adjustment factor is based on an estimated number of 30-day
periods in the next year using historical data trends, and as
applicable, we control for a permanent adjustment factor, case-mix
weight recalibration neutrality factor, wage index budget neutrality
factor, and the home health payment update. The temporary adjustment
factor is applied last. We refer readers to the CY 2024 HH PPS final
rule (88 FR 77689 through 77694) for analysis for CYs 2020 through 2022
claims. Additionally, at the end of this section we provide a summary
table for the permanent adjustment and temporary dollar amounts
calculated for each year.
Comment: Several commenters continue to oppose the behavior
adjustment methodology finalized in the CY 2023 HH PPS final rule and
repeated objections discussed in the CY 2023 HH PPS final rule and CY
2024 HH PPS final rule, stating that they believe the methodology
violates the Social Security Act and performs an unauthorized rebasing
of the 30-day payment rate. Commenters again requested that CMS develop
and propose a new methodology.
Response: The comments received on the methodology for the proposed
rule are similar to those received during CY 2023 and CY 2024
rulemaking. We refer readers to our responses to those comments in the
CY 2023 HH PPS final rule (87 FR 66797 through 66804) and CY 2024 final
rule (88 FR 77689). In those rules, we responded to commenters'
statements that they believe our final methodology was a violation of
the Social Security Act, as well as commenters' technical concerns,
such as the inclusion of therapy visits as part of our methodology. In
this year's proposed rule, we did not propose any changes to the
behavior adjustment methodology, as we finalized this methodology to
evaluate the impact of the differences of assumed versus actual
behavior changes on estimated aggregate expenditures, which is an
ongoing evaluation for all the years in which a payment adjustment is
appropriate.
d. CY 2023 Final Claims Results
We will continue the practice of using the most recent complete
home health claims data available at the time of rulemaking. The CY
2023 analysis presented in the CY 2025 HH PPS proposed rule was
considered preliminary and as additional data became available from the
latter half of CY 2023, we updated our results in this final rule.
While the claims data and the permanent and temporary adjustment
results in this final rule will be considered complete, any adjustments
to future payment rates may be subject to additional considerations
such as permanent adjustments taken in previous years.
The claims data used in rulemaking is released twice each year in
the HH PPS Limited Data Set (LDS) file, one for the proposed and one
for the final. Accordingly, the HH PPS LDS file released with this
final rule includes two files: the actual CY 2023 30-day periods and
the CY 2023 simulated 60-day episodes.
We remind readers a data use agreement (DUA) is required to
purchase the CY 2025 final HH PPS LDS file. Access will be granted for
both the 30-day periods and the simulated 60-day episodes under one
DUA. Visit the HH PPS LDS web page for more information.\1\ In
addition, the final CY 2025 Home Health Descriptive Statistics from the
LDS Files spreadsheet is available on the HH PPS Regulations and
Notices web page,\2\ does not require a DUA, and is available at no
cost to interested parties. The spreadsheet contains information on the
number of simulated 60-day episodes and actual 30-day periods in CY
2023 that were used to determine the adjustments. The spreadsheet also
provides information such as the number of episodes and periods by
case-mix group, case-mix weights, and simulated payments.
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\1\ https://www.cms.gov/research-statistics-data-and-systems/files-for-order/limiteddatasets/home_health_pps_lds.
\2\ https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/HomeHealthPPS/Home-Health-Prospective-Payment-System-Regulations-and-Notices.
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e. Applying the Methodology to CY 2023 Data To Determine the CY 2025
Permanent and Temporary Adjustments
Using the methodology finalized in the CY 2023 HH PPS final rule to
apply for all the years in which an adjustment is appropriate, and
described most recently in the CY 2024 HH PPS final rule (88 FR 77687
through 77688), as well as the two new assumptions related to the
OASIS-E mapping, we simulated 60-day episodes using actual CY 2023 30-
day periods to determine what the permanent and temporary payment
adjustments should be to offset for such increases or decreases in
estimated aggregate expenditures as a result of the impact of
differences between assumed behavior changes and actual behavior
changes.
Using the final CY 2023 dataset, we began with 8,319,064 30-day
periods of care and dropped 513,580 30-day periods of care that had a
claim occurrence code 50 date after October 31, 2023. We also excluded
866,308 30-day periods of care that had a claim occurrence code 50 date
before January 1, 2023, to ensure the 30-day period will not be part of
a simulated 60-day episode that began in CY 2022. Applying the
additional exclusions and assumptions as described in the finalized
methodology (87 FR 66804), an
[[Page 88366]]
additional 13,508 30-day periods were excluded.
Additionally, we excluded 204,597 simulated 60-day episodes of care
where no OASIS information was available in the Chronic Conditions Data
Warehouse (CCW) Virtual Research Data Center (VRDC), a recent SOC/ROC
OASIS was not available, a wage index was not available, or the episode
could not be grouped to a Health Insurance Prospective Payment System
(HIPPS) code due to a missing primary diagnosis or other reason. Our
simulated 60-day episodes of care produced a distribution of two 30-day
periods of care (69.0 percent) and single 30-day periods of care (31.0
percent) that was similar to what we found when we simulated two 30-day
periods of care for implementation of the PDGM. After all exclusions
and assumptions were applied, the final dataset for this final rule
included 6,541,678 actual 30-day periods of care and 3,870,602
simulated 60-day episodes of care for CY 2023.
Using the final dataset for CY 2023 (6,541,678 actual 30-day
periods which made up the 3,870,602 simulated 60-day episodes) we
determined the estimated aggregate expenditures under the pre-PDGM HH
PPS were lower than the actual estimated aggregate expenditures under
the PDGM HH PPS. This indicates that aggregate expenditures under the
PDGM were higher than if the 153-group payment system was still in
place in CY 2023 and therefore, we determined the CY 2023 30-day base
payment rate should have been $1,875.46 based on actual behavior, as
shown in table 2. As stated in the CY 2024 final rule (88 FR 77693) we
determined for CYs 2020 through CY 2022 a total of -5.779 percent
permanent adjustment was needed (after accounting for the -3.925
percent applied to the CY 2023 payment rate). In order to determine
behavior changes for only CY 2023, we simulated what the CY 2023 base
payment rate would have been if the -5.779 percent adjustment that we
determined using CY 2022 claims data had been implemented.
Using the recalculated CY 2022 base payment rate of $1,839.10 (88
FR 77693), multiplied by the CY 2023 case-mix weight recalibration
neutrality factor (0.9904), the CY 2023 wage index budget neutrality
factor (1.0001) and the CY 2023 home health payment update factor
(1.040), the CY 2023 base payment rate for assumed behavior would have
been $1,894.49. For the CY 2023 annual permanent adjustment, we
calculated the percent change between the two payment rates for only CY
2023 (assuming the -5.779 percent adjustment was already taken). For
the temporary adjustment we calculated the difference in aggregate
expenditures in dollars for all CY 2023 PDGM 30-day claims using the
actual payment rate ($2,010.69) and recalculated payment ($1,875.46).
This difference is shown as the retrospective dollar amount needed to
offset payment in a future year. Our results for the CY 2023 annual
(single year) permanent and temporary adjustment calculations using CY
2023 final claims data are shown in table 2.
[GRAPHIC] [TIFF OMITTED] TR07NO24.008
As shown in table 2, a permanent prospective adjustment of -1.004
percent to the CY 2025 30-day payment rate (assuming the-5.779 percent
adjustment was already taken) for CY 2023 would be required to offset
for such increases in estimated aggregate expenditures in future years.
We remind readers, the permanent prospective adjustment of -1.004
percent is for illustrative purposes only and the annual (single year)
permanent adjustment cannot be added to previous annual adjustments. To
illustrate the annual calculation for CY 2023 claims only:
[GRAPHIC] [TIFF OMITTED] TR07NO24.010
Section 1895(b)(3)(D) of the Act requires us to annually analyze
data from CY 2020 through CY 2026 and offset any increases or decreases
in estimated aggregate expenditures at a time and manner determined
appropriate. We now have four years of claims data (CYs 2020-2023)
under the PDGM, with one of these years including a partial permanent
adjustment. Later we provide an illustration of the annual (single
year)
[[Page 88367]]
permanent adjustments calculated on the discrete year of claims. We
remind readers these annual adjustments cannot be added or multiplied
together to determine the total permanent adjustment needed for CY 2025
because each individual year requires an assumption that all prior
adjustments were taken. We provided an illustrative equation in the CY
2025 HH PPS proposed rule (89 FR 55335) using the annual adjustment. We
remind readers that equation may result in slightly different results
due to the underlying assumptions each year and rounding.
[GRAPHIC] [TIFF OMITTED] TR07NO24.009
Additionally, we determined that our initial estimate of the base
payment rate ($2,010.69) resulted in excess expenditures of
approximately $971 million in CY 2023. This will require a temporary
adjustment, where the dollar amount ($971 million) will be converted to
a factor when implemented, to offset for such increases in estimated
aggregate expenditures for CY 2023.
f. CY 2025 Final Permanent Adjustment and Temporary Adjustment
Calculations
In the preceding section we describe how we annually analyzed CY
2023 final claims data to determine the effects of actual behavior
change on estimated aggregate expenditures. Again, that analysis
included simulations that assumed that the -5.779 percent payment
adjustment was already taken. We note that CMS implemented a payment
adjustment of-2.890 percent for CY 2024, rather than the -5.779 percent
we calculated (88 FR 77697), so the calculations set forth later in
this section reflect the remaining adjustments that are still needed.
Therefore, the calculation in this section includes any of the
remaining adjustments not applied in previous years (that is, CYs 2020
to 2022 claims data), as well as the adjustment needed to account for
CY 2023 claims. In calculating the full permanent adjustment needed to
the CY 2025 30-day payment rate, we compare estimated aggregate
expenditures under the PDGM and the prior system. Unlike the annual
adjustments described in table 3, we do not assume the full adjustment
from prior years had been taken.
As discussed in section II.C.1.d. of this final rule, using the
final dataset for CY 2023 (6,541,678 actual 30-day periods which made
up the 3,870,602 simulated 60-day episodes) we determined the CY 2023
30-day base payment rate should have been $1,875.46 based on actual
behavior, rather than the actual CY 2023 30-day base payment rate
($2,010.69) based on assumed behaviors. The percent change, as shown in
table 4, between the actual CY 2023 base payment rate of $2,010.69
(based on assumed behaviors and included a -3.925 percent adjustment
applied to the CY 2023 payment rate) and the CY 2023 recalculated base
payment rate of $1,875.46 (based on actual behaviors) is the total
permanent adjustment need for CYs 2020 through 2023 claims.
[GRAPHIC] [TIFF OMITTED] TR07NO24.012
As shown in table 4, a permanent prospective adjustment of -6.726
percent to the CY 2025 30-day payment rate for CYs 2020 through 2023
will be required to offset for such increases in estimated aggregate
expenditures in future years. To illustrate this calculation:
[GRAPHIC] [TIFF OMITTED] TR07NO24.011
[[Page 88368]]
As we stated in the CY 2024 HH PPS final rule (88 FR 77697),
applying a -2.890 percent permanent adjustment to the CY 2024 30-day
payment rate will not adjust the rate fully to account for differences
in behavior changes on estimated aggregate expenditures in CYs 2020,
2021, and 2022. Using CY 2023 claims data, as shown in table 5, a
permanent prospective adjustment of -6.726 percent to the CY 2025 30-
day payment rate will be required to offset for such increases in
estimated aggregate expenditures for CYs 2020 through 2023. We remind
readers adjustment factors are multiplied in this payment system and
therefore, individual numbers (that is, percentages) cannot be added or
subtracted together to determine the final adjustment. Therefore, we
cannot determine the CY 2025 proposed permanent adjustment, which will
include estimated aggregate expenditures in CY 2023, by simply
subtracting the -2.890 percent applied in CY 2024 from the total
permanent adjustment of -6.726 percent.
Instead, we account for the permanent adjustment applied in CY 2024
of -2.890 percent when we calculate the CY 2025 permanent adjustment by
solving the following equation (1-0.0289) x (1-x) = (1-0.06726). To
illustrate this calculation we used the following approach.
[GRAPHIC] [TIFF OMITTED] TR07NO24.014
In table 5 we provide the base payment rate for assumed behaviors
(what CMS actually paid), the recalculated base payment rate for actual
behaviors (what CMS should have paid), the total permanent adjustments
calculated from the base payment rates (accounts for any adjustments
taken prior), and the permanent adjustment applied.
[GRAPHIC] [TIFF OMITTED] TR07NO24.013
In the CY 2025 HH PPS proposed rule (89 FR 55337), we proposed to
apply the full permanent adjustment we (then) calculated of -4.067
percent, noting that we would update this percentage using more
complete claims data in the final rule, to satisfy the statutory
requirements at section 1895(b)(3)(D) of the Act to offset any
increases or decreases on the impact of differences between assumed
behavior and actual behavior changes on estimated aggregate
expenditures, reduce the need for any future large permanent
adjustments, and help slow the accrual of the temporary payment
adjustment amount. Using more complete claims data, and as calculated
previously, the permanent adjustment to the CY 2025 30-day payment rate
would be a reduction of 3.95 percent.
We remind readers that while we have not yet proposed a methodology
on how CMS will apply the temporary adjustment on a prospective basis
to the base payment rate, we finalized the methodology for determining
the temporary adjustment dollar amount in the CY 2023 HH PPS final rule
(87 FR 66804). We stated in the CY 2023 HH PPS final rule (87 FR
66804), the CY 2024 HH PPS proposed rule (88 FR 43674) and in the CY
2025 HH PPS proposed rule (89 FR 55337), that after we determine the
total dollar amount to be reconciled, we will calculate a temporary
adjustment factor to be applied to the base payment rate for the year
in which it is implemented. In other words, the total dollar amount for
the temporary adjustment will not change as data analysis in the final
rules
[[Page 88369]]
are considered complete. In table 6, we provide the temporary
adjustment dollar amount for each year and the overall total.
[GRAPHIC] [TIFF OMITTED] TR07NO24.015
We did not propose to take the temporary adjustment in CY 2025. In
future rulemaking, we will propose the temporary adjustment dollar
amount to be converted to a factor to be applied to the national,
standardized base payment rate in a time and manner determined
appropriate.
Comment: Commenters stated that they believe CMS has not provided
data, or that they believe the data presented is inaccurate to
demonstrate behavior changes, and therefore, they believe any payment
adjustment is not supported.
Response: We disagree that we have not provided commenters with the
data on which we relied, or that we relied on inaccurate data. We
provided our extensive data in the CY 2022 HH PPS proposed rule (86 FR
35880 through 35889), the CY 2023 HH PPS proposed rule (87 FR 37605
through 37614), the CY 2024 HH PPS proposed rule (88 FR 43663 through
43671), and the CY 2025 HH PPS proposed rule (89 FR 55318 through
55327). Additionally, on March 29, 2023, CMS conducted a webinar
entitled ``Medicare Home Health Prospective Payment System (HH PPS)
Calendar Year (CY) 2023 Behavior Change Recap, 60-Day Episode
Construction Overview, and Payment Rate Development.'' The webinar was
open to the public and the materials from the webinar, including the
presentation and the data files were published on the CMS website.\3\
As stated previously, CMS also provides twice a year (that is, proposed
and final rules) the HH PPS LDS file and the Home Health Descriptive
Statistics from the LDS Files. Therefore, CMS has provided this data
numerous times through rulemaking and made all data files used in
assessing behavior changes and rate setting available for interested
parties.
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\3\ Home Health Patient-Driven Groupings Model web page at
https://www.cms.gov/medicare/medicare-fee-for-service-payment/homehealthpps/hh-pdgm.
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Comment: The majority of commenters opposed the proposed permanent
adjustment to the CY 2025 home health rate and requested CMS postpone
its application in order to preserve access to home health services and
the scope of care available. Commenters stated that they believe CMS
dismissed data analysis presented from interested parties showing an
increase in referral rejections, which commenters purport is caused by
the permanent rate adjustment. These commenters stated that this ``on-
going pattern of loss of access to care'' is directly related to
implementation of the PDGM and payment adjustments related to the
behavior adjustment analysis and that CMS has an obligation to answer
the questions posed through these analyses. The most common themes
commenters presented as support for their concern that another
permanent adjustment in CY 2025 is exacerbating an unstable home health
benefit are negative margins, increasing costs, labor shortages, and
increasing referral rejections by HHAs.
Response: We diligently review all comments and analysis from
interested parties submitted through public comment on proposed rules.
Our review of data and comments provided by interested parties, as well
as our own internal data and analysis, helps the agency implement
appropriate payment policies. This thorough process helps guide agency
decision making, as we have discretion to implement regulations and
payment adjustments in a time and manner deemed appropriate. Throughout
the policy-making process, we monitor the effects the PDGM and Medicare
home health payment rates have on access to care, including the number
of beneficiaries accessing the benefit as well as the number of
providers furnishing services. We carefully analyze our own data
extracted through the CCW VRDC, claims review, and examination of cost
reports. CMS also monitors the effects of the PDGM on the quality of
care provided by HHAs through the home health quality reporting program
(HH QRP),\4\ and we refer readers to section III of this rule for
further information about the HH QRP. To the extent commenters suggest
[[Page 88370]]
access to care concerns mean we should not make any behavioral
adjustments, such concerns cannot override our statutory obligations.
As for the suggestion that access to care issues justify delaying
implementation of the permanent behavioral adjustments, our analysis
has not identified sufficient evidence that delaying the implementation
of the permanent adjustment will have a significant effect on access to
care or the issues commenters describe as destabilizing the home health
benefit. Below, we respond to these concerns and discuss potential
influencing factors that may affect the home health industry beyond the
permanent behavioral adjustments.
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\4\ https://www.cms.gov/medicare/quality/home-health.
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We understand that commenters are concerned that the PDGM might
have narrowed the gap between the margins providers receive treating
patients enrolled in Medicare-FFS and the margins providers receive
from patients with other health coverage. However, as we stated in the
CY 2023 HH PPS final rule (87 FR 66807) and the CY 2024 HH PPS final
rule (88 FR 77695), Medicare does not set payments to cross-subsidize
other payers, as we are mindful of our obligation to be responsible
stewards of the Medicare Trust Funds. Many commenters stated outright
that Medicare should consider all-payor margins when evaluating the
accuracy of the Medicare home health payment rate. While CMS analyzes
Medicare margins as a financial gauge overall to the soundness of the
home health industry, we again note that 42 CFR 413.5 states that
``costs attributable to other patients of the institution are not to be
borne by the program''--``the program'' being Medicare. In other words,
when setting payment rates, CMS is not required to consider any
shortfalls or deficits created by the payment rates of insurance
programs covering other patients.
Our analysis of cost reports submitted by HHAs shows that Medicare
payment rates exceed costs of care by 32 percent (89 FR 55321).
Overall, CMS's data on the cost of providing care (as reported by HHAs
on the Home Health Medicare Cost Reports (CMS Form 1728-20, OMB No.
0938-0022)) and the margin analysis presented in the CY 2024 HH PPS
final rule (88 FR 77695), along with data reported by MedPAC, an
independent congressional agency,\5\ indicate that the cost of
providing home health care remains, on average, below the base payment
rate and that HHAs in general continue to experience high Medicare
margins. We also note that we reviewed an annual outlook survey \6\ of
152 home health market participants (72 percent of which were
executives, see page 4) published by Homecare Homebase (HCHB), an
electronic health records service provider to home health agencies that
report their software serves ``all ten of the top ten largest home
health agencies.'' \7\ Approximately 85 percent of survey participants
reported they expect their organization's overall revenue to stay the
same (20 percent) or increase (65 percent) in 2024 compared to 2023
(pg. 7). We understand this survey is only a sample and may not
represent every HHA; however, it is important to recognize that many
home health executives report an overall positive market outlook
despite the permanent adjustment to the home health payment rate
implemented in CY 2023.
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\5\ https://www.medpac.gov/wp-content/uploads/2024/03/Mar24_MedPAC_Report_To_Congress_SEC-2.pdf.
\6\ https://hchb.com/resources/white-papers/survey-2024-hhcn-outlook-survey-and-report/.
\7\ https://hchb.com/faqs/.
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We acknowledge commenters' concerns regarding staff shortages.
Similar to what we stated in the CY 2024 HH PPS final rule (88 FR
77696), we recognize there are widespread staffing shortages across the
spectrum in healthcare as well as the general labor market. But the
statute limits behavioral adjustments to those attributable to the
implementation of the PDGM, and commenters do not cite evidence
suggesting staffing shortages are attributable to those changes. We
primarily account for those challenges in other ways, such as the
market basket as explained in section II.C of this final rule. As we
stated above and previously, delaying the permanent adjustment now will
only lead to larger permanent adjustments in the future, and any
temporary savings by HHAs will be offset by larger future temporary
adjustments.
We also considered the referral analysis industry advocates again
submitted using their proprietary data. While we welcome analysis
conducted by industry advocates and incorporate insights from the
industry's experience and data as appropriate, for reasons including
those explained in the CY 2024 HH PPS final rule (88 FR 77695), we must
use Medicare FFS data to set Medicare FFS policy. We appreciate that
the industry advocates addressed some of the concerns with their data
that we raised last year. However, they did not address whether their
proprietary data contains information from other payors, such as
Medicare Advantage (MA) plans.
It is important to note that neither our nor the industry's
analysis of referral rejections studied causation. In other words, an
increase of non-acceptance to home health does not necessarily indicate
that delaying the payment adjustment would increase referral
acceptance. The industry appears to assume that the main reason an HHA
would reject a referral is because the HHA cannot afford to provide the
services for the referred patient based on the Medicare home health
payment rate. As noted above, CMS's analysis of home health costs
suggests the payment rate is adequate to provide services to
beneficiaries, and any number of reasons exist that could result in a
patient not receiving home health services. For instance, not every
patient is found to be eligible for home health upon initial assessment
and some patients decline home health despite being referred.
Additionally, HHAs decide which services they can provide (in addition
to skilled nursing) and may not be appropriately staffed to provide the
services in the patient's plan of care. For example, a patient may need
skilled nursing, physical therapy, and occupational therapy, but the
referred HHA is not appropriately staffed with (or contracted with) an
occupational therapist. Therefore, even large increases in referral
rejections would not necessarily justify delaying the permanent
adjustment or substantiate concerns that HHAs cannot afford to accept
patients based on the national-standardized payment rates.
Nevertheless, based on the industry's suggestion that their data
suggests that there has been an increase in referral rejections since
we implemented the PDGM, we conducted our own referral analysis using
Medicare FFS data, and our findings, as shown in figure 7, differ from
the industry's. We acknowledge that there will always be a certain
percentage of referral rejections, for example, patient refusal or
ineligibility, and our analysis indicates that the rejection rate has
been relatively stable with less than a five percent change from CY
2020 to 2023.
In conducting our referral analysis, we first determined
``referrals'' by identifying FFS acute inpatient, inpatient
rehabilitation facility (IRF), skilled nursing facility (SNF), and
outpatient claims that had a discharge status code indicating home
health. While a beneficiary may be counted more than once (for example,
multiple inpatient admissions in a year), each claim with a discharge
to home health is considered its own referral. Figure 7 illustrates the
percentages of claims
[[Page 88371]]
with a discharge status code indicating home health services.
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We found from 2018 to 2023 referrals to home health services from
acute inpatient claims remained stable, increased for IRF claims,
decreased for SNF claims, and increased for outpatient claims.
Next, utilizing the same time period (CYs 2018-2023), we excluded
any home health claims where the beneficiary did not have an acute
inpatient, IRF, SNF, or outpatient claim preceding the home health
claim. We specifically looked at acute inpatient, IRF, SNF or
outpatient claims because this is the clearest way to determine that
the beneficiary was referred to home health based on the discharge
status codes. We then analyzed the number of days between the acute
inpatient, IRF, SNF, and outpatient claim (with a discharge status code
to home health) through date and the home health claim from date. Per
42 CFR 484.55(a)(1) the initial assessment visit must be held within 48
hours of referral, or within 48 hours of the patient's return home, or
on the physician or allowed practitioner-ordered start of care date.
Therefore, we limited our analysis to a home health claim start date
within seven days of the non-home health claim through date. For
example, an acute inpatient claim has a through-date of January 31st,
and the same beneficiary has a home health claim start date on or
before February 7th. Figure 8 illustrates the percentage of acute
inpatient, IRF, SNF, and outpatient claims that had a discharge status
code to home health and the beneficiary having a home health claim
within seven days of discharge from an acute inpatient, IRF, SNF, or
outpatient setting.
[[Page 88372]]
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Our analysis shows on average, beneficiaries with acute inpatient,
IRF, SNF, and outpatient claims had a home health claim within seven
days of discharge: 79 percent, 86 percent, 75 percent, and 71 percent,
respectively from 2018 to 2023. Overall, we found, on average, 80
percent of referrals from acute inpatient, IRF, and SNF claims have a
home health claim within seven days of discharge, while outpatient had
71 percent of referrals on average. In our analysis we found an average
of 80 percent, 79 percent, and 75 percent acceptance of referrals for
2018 (pre-PDGM), 2020 (PDGM), and 2023 (PDGM) respectively for Medicare
FFS beneficiaries.
Our analysis shows that there is a 4.2 percent reduction in the
referral acceptance rate between 2020 and 2023 which is less than half
the approximate 10 percent reduction in the referral acceptance rate
the industry found in that same time. We note that we do not expect
that all referrals to home health would result in acceptance of those
referrals. As mentioned previously, there are several reasons for non-
acceptance of a referrals, including patient ineligibility for home
health services. The purpose of the referral analysis shown in this
final rule is to compare the Medicare FFS referral rejection rate to
the industry's analysis of the referral rejection rate using their
proprietary data. The industry reported an approximate 77 percent, 75
percent, and 65 percent acceptance of referrals for 2018 (pre-PDGM),
2020 (PDGM), and 2023 (PDGM) respectively for their study population.
One reason for the different results could be the different population
the industry studied. As described in the CY 2025 HH PPS proposed rule
(89 FR 55319) there was a total of about 17.1 million unique FFS
beneficiaries from 2018 to 2023.\8\ Commenters stated that their
referral analysis was ``based on 25.7 million patients who entered
Homecare Homebase from 2018 through the present.'' It is unclear why
the Homecare Homebase data included an additional 8.6 million patients.
One possibility is that that Homecare Homebase's database included
patients who were not enrolled in Medicare FFS or used other payors. As
explained above, we set Medicare FFS policy based on how it affects
Medicare FFS beneficiaries--not how it affects other payors' enrollees.
---------------------------------------------------------------------------
\8\ Some beneficiaries may be counted across years, and
therefore the total may overestimate the total number of
beneficiaries between 2018 and 2023.
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Comment: Commenters also highlighted a decrease in the number of
HHAs since the implementation of the PDGM and this decrease may be
contributing to the lack of access to care and increased referral
rejections.
Response: In the CY 2024 HH PPS final rule (88 FR 77696) we stated
awareness of changes in the home health industry. We acknowledged that
the home health landscape is changing as HHAs continue to be
consolidated and bought by private equity firms and the increase of
for-profit agencies. For example, in our data we identified a total of
8,674 HHAs that had ownership status available, and 82 percent are for-
profit; 15 percent are non-profit, and 3 percent government owned. In
their 2024 report, MedPAC describes a continuous decline in the number
of HHAs since 2013, while the supply of agencies remained relatively
stable after the implementation of PDGM in 2020.\9\ MedPAC also notes
that relative to the FFS Medicare population alone, the supply of
agencies increased (to 2.3 HHAs per 10,000 FFS beneficiaries) because
the 2022 decline in FFS Medicare beneficiaries was greater than the
decline in the number of agencies. Further, our own analysis shows that
[[Page 88373]]
there is only a 1.7 percent decline in the number of HHAs with at least
one claim in 2019 to the number of HHAs with at least one claim in
2023, and the vast majority of Medicare beneficiaries live in counties
with a few HHAs with positive margins. While the distribution of HHAs
have changed, there is no evidence to support that this is solely
attributable to adjustments to the home health payment rates and,
again, note that the change in ownership practices could be
contributing to the slight decline in the number of HHAs.
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\9\ Medicare Payment Advisory Commission, Report to the
Congress: Medicare Payment Policy, Washington, D.C. (March 2024)--
https://www.medpac.gov/wp-content/uploads/2024/03/Mar24_Ch7_MedPAC_Report_To_Congress_SEC.pdf.
---------------------------------------------------------------------------
Comment: We have continued to receive concerns from commenters
regarding ``inappropriate practice patterns,'' suggesting again that
HHAs may change how they operate in accordance with payment. In
response to the CY 2025 HH PPS proposed rule, CMS received many letters
from therapists and other home health care practitioners detailing
administrative mandates from HHAs limiting how many visits a patient
may receive. Further, many of these commenters stated that it was not
their salary that would cause them to leave the home health
environment, but the strict direction detailing the limits of their
practice in order to generate profit for the agency.
Response: These comments mirror comments we responded to in last
year's HH PPS final rule discussing the potential for the functional
impairment levels to create an incentive for HHAs to hand-pick patients
based on their predicted case mix grouping. We again emphasize that the
plan of care must specify the care and services necessary to meet the
patient-specific needs as identified in the comprehensive assessment,
including identification of the responsible discipline(s), and the
measurable outcomes that the HHA anticipates will occur as a result of
implementing and coordinating the plan of care. It is improper for an
HHA to influence a practitioner on what should be included in the plan
of care based on the HHA's own financial constraints and staffing
abilities. As stated in the CY 2024 HH PPS final rule (88 FR 77699), we
expect the provision of services be made to best meet the patient's
care needs and in accordance with the home health CoPs at Sec. 484.60,
and that it is not proper for HHAs to under-supply care or services or
reduce the number of visits in response to payment, as this would be a
violation of the CoPs.
A commenter summed up many of these comments by stating that ``rate
cuts lead to care cuts.'' We acknowledge commenters' concerns that they
believe HHAs are dictating practice patterns in response to the
implementation of the PDGM. However, Medicare sets payment rates in
accordance with statutory requirements, and not HHA's business
practices. Moreover, access to care is impacted by many factors. This
may include factors as varied as labor conditions, patient mix,
industry margins, and competitive pressures. Congress changed the home
health prospective payment system in the BBA of 2018 and instructed CMS
to further adjust payment rates to account for differences between the
behavior changes we predicted in the CY 2019 rule and the actual
behavior changes we have observed since the implementation of the PDGM
in CY 2020. We are implementing these payment adjustments in a time and
manner appropriate in accordance with the law, while mindful of
possible disruptions this implementation may cause to the services to
which beneficiaries are entitled. Our analysis continues to suggest
that the permanent adjustment we are finalizing here to the CY 2025
base payment rate should not materially affect access to the Medicare
home health benefit.
Final Decision: We continue to adhere to the methodology finalized
in the CY 2023 HH PPS final rule (87 FR 66804). However, as in previous
years, we are committed to remaining responsive to commenter concern
regarding on-going permanent rate adjustments. We acknowledge that
while we must comply with the statutory requirement that CMS ensure the
estimated aggregate expenditures under the PDGM are equal to the
estimated aggregate expenditures that would have been made under the
prior system, we have the discretion to implement any adjustment in a
time and manner determined appropriate. Therefore, in response to
commenter concerns, we are finalizing a -1.975 percent (half of the
proposed -3.95 percent) permanent adjustment for CY 2025. This approach
of applying half of the amount proposed for the permanent adjustment is
aligned with the approach finalized in the CY 2023 HH PPS final rule
(87 FR 66808) and the CY 2024 HH PPS final rule (88 FR 77697) where CMS
finalized half of the remaining permanent adjustment, as indicated by
the most recently available claims data. However, again, we note the
permanent adjustment to account for actual behavior changes in CYs 2020
through 2023, should be -3.95 percent, which includes the remaining
``half'' from the CY 2024 HH PPS final rule, and the additional
adjustment based on CY 2023 data. Therefore, applying a -1.975 percent
permanent adjustment to the CY 2025 30-day payment rate would not
adjust the rate fully to account for differences in behavior changes on
estimated aggregate expenditures during those years. We will have to
account for that difference, and any other potential adjustments needed
to the base payment rate, to account for behavior change based on data
analysis in future rulemaking. CMS did not propose to adjust the CY
2025 base payment rate using our temporary adjustment authority, as
section 1895(b)(3)(D)(iii) of the Act allows any adjustment to be made
in a time and manner deemed appropriate by the Secretary. However, we
remind readers that without the full permanent adjustment (-3.95
percent) in effect, the total temporary dollar amount will continue to
increase until the full permanent adjustment is implemented.
D. CY 2025 Home Health Low Utilization Payment Adjustment (LUPA)
Thresholds, Functional Impairment Levels, Comorbidity Sub-Groups, Case-
Mix Weights, and Reassignment of Specific ICD-10-CM Codes Under the
PDGM
1. CY 2025 PDGM LUPA Thresholds
Under the HH PPS, LUPAs are paid when a certain visit threshold for
a payment group during a 30-day period of care is not met. In the CY
2019 HH PPS final rule with comment period (83 FR 56492), we finalized
a policy setting the LUPA thresholds at the 10th percentile of visits
or two visits, whichever is higher, for each payment group. This means
the LUPA threshold for each 30-day period of care varies depending on
the PDGM payment group to which it is assigned. If the LUPA threshold
for the payment group is met under the PDGM, the 30-day period of care
will be paid the full 30-day period case-mix adjusted payment amount
(subject to any partial payment adjustment or outlier adjustments). If
a 30-day period of care does not meet the PDGM LUPA visit threshold,
then payment will be made using the per-visit payment amounts as
described in section II.E.4.c. of this final rule. For example, if the
LUPA visit threshold is four, and a 30-day period of care has four or
more visits, it is paid the full 30-day period payment amount; if the
period of care has three or fewer visits, payment is made using the
per-visit payment amounts.
In the CY 2019 HH PPS final rule with comment period (83 FR 56492),
we finalized our policy that the LUPA thresholds for each PDGM payment
group will be reevaluated every year based on the most current
utilization
[[Page 88374]]
data available at the time of rulemaking. However, as CY 2020 was the
first year of the new case-mix adjustment methodology, we stated in the
CY 2021 HH PPS final rule (85 FR 70305, 70306) that we will maintain
the LUPA thresholds that were finalized and shown in table 17 of the CY
2020 HH PPS final rule with comment period (84 FR 60522) for CY 2021
payment purposes. We stated that at that time, we did not have
sufficient CY 2020 data to reevaluate the LUPA thresholds for CY 2021.
In the CY 2022 HH PPS final rule with comment period (86 FR 62249),
we finalized the proposal to recalibrate the PDGM case-mix weights,
functional impairment levels, and comorbidity subgroups while
maintaining the LUPA thresholds for CY 2022. We stated that because
there are several factors that contribute to how the case-mix weight is
set for a particular case-mix group (such as the number of visits,
length of visits, types of disciplines providing visits, and non-
routine supplies) and the case-mix weight is derived by comparing the
average resource use for the case-mix group relative to the average
resource use across all groups, we believe the COVID-19 PHE will have
impacted utilization within all case-mix groups similarly. Therefore,
the impact of any reduction in resource use caused by the PHE on the
calculation of the case-mix weight will be minimized since the impact
will be accounted for both in the numerator and denominator of the
formula used to calculate the case-mix weight. However, in contrast,
the LUPA thresholds are based on the number of overall visits in a
particular case-mix group (the threshold is the 10th percentile of
visits or 2 visits, whichever is greater) instead of a relative value
(like what is used to generate the case-mix weight) that will control
for the impacts of the COVID-19 PHE. We noted that visit patterns and
some of the decrease in overall visits in CY 2020 may not be
representative of visit patterns in CY 2022. Therefore, to mitigate any
potential future and significant short-term variability in the LUPA
thresholds due to the COVID-19 PHE, we finalized the proposal to
maintain the LUPA thresholds finalized and displayed in table 17 in the
CY 2020 HH PPS final rule with comment period (84 FR 60522) for CY 2022
payment purposes.
For CY 2024, we proposed to update the LUPA thresholds using CY
2022 Medicare home health claims (as of March 17, 2023) linked to OASIS
assessment data. We believed that CY 2022 data will be more indicative
of visit patterns in CY 2024 rather than continuing to use the LUPA
thresholds derived from the CY 2018 data pre-PDGM. Therefore, we
finalized a policy to update the LUPA thresholds for CY 2024 using data
from CY 2022.
For CY 2025, we proposed to update the LUPA thresholds using CY
2023 home health claims utilization data (using more complete CY 2023
claims data as of July 11, 2024), in accordance with our policy to
annually recalibrate the case-mix weights and update the LUPA
thresholds, functional impairment levels and comorbidity subgroups.
After reviewing the CY 2023 home health claims utilization data, we
determined that LUPA visit patterns in 2023 were similar to visits in
2021 and a total of eight case-mix groups have a decline in their LUPA
threshold of a single visit. The proposed LUPA thresholds for the CY
2025 PDGM payment groups with the corresponding Health Insurance
Prospective Payment System (HIPPS) codes and the case-mix weights can
be found in the CY 2025 HH PPS proposed rule (89 FR 55349). We
solicited public comment on the proposed updates to the LUPA thresholds
for CY 2025.
Comment: All commenters expressed support for the updated LUPA
thresholds and recognized that this adjustment helps align payments
more closely with evolving care delivery and improves payment accuracy.
Response: We thank the commenters for their support.
Final Decision: We are finalizing the proposal to update the LUPA
thresholds for CY 2025 using CY 2023 claims data (as of July 11, 2024).
The final LUPA thresholds for the CY 2025 PDGM payment groups with the
corresponding Health Insurance Prospective Payment System (HIPPS) codes
and the case-mix weights are listed in table 7 and is also available on
the HHA Center web page, located at https://www.cms.gov/medicare/enrollment-renewal/providers-suppliers/home-health-agency-center.
2. CY 2025 Functional Impairment Levels
Under the PDGM, the functional impairment level is determined by
responses to certain OASIS items associated with activities of daily
living and risk of hospitalization; that is, responses to OASIS items
M1800-M1860 and M1033. A home health period of care receives points
based on each of the responses associated with these functional OASIS
items, which are then converted into a table of points corresponding to
increased resource use. The sum of all these points results in a
functional impairment score which is used to group home health periods
into a functional level with similar resource use. That is, the higher
the points, the more the response is associated with increased resource
use, or increased impairment. The three functional impairment levels of
low, medium, and high were designed so that approximately one-third of
home health periods from each clinical group falls within each level.
This means home health periods in the low impairment level have
responses for the functional OASIS items that are associated with the
lowest resource use, on average. Home health periods in the high
impairment level have responses for the functional OASIS items that are
associated with the highest resource use on average.
For CY 2025, we proposed to use CY 2023 claims data to update the
functional points and functional impairment levels by clinical group.
The CY 2018 HH PPS proposed rule (82 FR 35320) and the technical report
from December 2016, posted on the Home Health PPS Archive web page,
located at https://www.cms.gov/medicare/home-health-pps/home-health-pps-archive, provides a more detailed explanation as to the
construction of the functional impairment levels using the OASIS items.
We proposed to use the same methodology previously finalized to update
the functional impairment levels for CY 2025. The final updated OASIS
functional points table and the table of functional impairment levels
by clinical group for CY 2025 are listed in tables 7 and 8,
respectively.
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We solicited public comment on the updates to functional points and
the functional impairment levels by clinical group.
Comment: Several commenters opposed the proposed updates to the CY
2025 functional impairment points and levels. These commenters contend
that the assignment of functional impairment levels appears arbitrary
and requested that CMS refrain from making additional changes to the
functional scoring system that would affect level assignments until the
impact of CY 2024 updates is fully understood. Several commenters
expressed concerns that the proposed functional impairment levels may
not accurately reflect the actual functional status of home health
patients, particularly those with
[[Page 88377]]
complex or higher-acuity conditions. Specifically, they stated that
patients with significant needs for assistance with activities of daily
living may not be adequately represented within the proposed levels,
potentially leading to a misalignment between the resources required to
provide care and the associated payment structure. Additionally,
commenters noted that the agency's proposed recalibration for CY 2025
does not sufficiently account for what the commenters say is a fact
that patients entering home health care post-COVID-19 pandemic are, on
average, more impaired than they were prior to the pandemic. Commenters
stated that they believe this marks the fourth consecutive year in
which changes to functional item scoring have been finalized without
fully considering the impacts of the changes implemented in the
previous year (that is, CY 2024 changes for CY 2025 rulemaking).
Commenters requested that CMS delay finalizing any updates to the
functional domain methodology until CY 2026, when post-pandemic data
from 2024 can be fully analyzed to assess the appropriateness of
further modifications.
Response: We appreciate the commenters' recommendations. However,
we maintain that annual recalibration is essential to ensure the most
accurate and current assessment of the relationship between resource
use and functional points, functional threshold levels, comorbidities,
utilization thresholds, and case-mix weights. As such, we do not agree
with delaying updates to the functional impairment points and levels
for CY 2025. We continue to believe that using the most up-to-date data
to revise functional impairment levels is critical to ensuring that all
variables used in the case-mix adjustment process align with the actual
costs of delivering home health services. We would also like to remind
commenters that the functional impairment levels are structured so that
approximately one-third of periods within each clinical group are
assigned to low, medium, and high categories, ensuring that the case-
mix system appropriately reflects differences in functional impairment.
This classification of functional impairment into low, medium, and high
levels has been a fundamental component of the HH PPS since its
implementation. The previous HH PPS grouped home health episodes using
functional scores based on functional OASIS items with similar average
resource use within the same functional level, with approximately a
third of episodes classified as low functional score, a third of
episodes classified as medium functional score, and a third of episodes
classified as high functional score. Likewise, the PDGM groups home
health periods of care using functional impairment scores based on
functional OASIS items with similar resource use and has three levels
of functional impairment severity: low, medium, and high. However, the
PDGM differs from the previous HH PPS functional variable, in that the
three functional impairment level thresholds in the PDGM vary between
the clinical groups. As such, the PDGM functional impairment structure
accounts for patient characteristics within each clinical group that
are associated with increased resource use due to functional
impairment. This ensures that payment is more accurately aligned with
patient characteristics, including beneficiaries who have greater need
with activities of daily living (ADLs) and who are more functionally
impaired. Regardless of whether patients entering home health are more
impaired due to the post-COVID environment or any other influence, the
functional levels capture the relationship between functional status as
indicated on the OASIS with resource use captured on claims. As such,
updating the functional levels would specifically capture any increase
in functional impairment and any increase in resource use associated
with ADLs.
Final Decision: We are finalizing the functional points and
functional impairment level updates for CY 2025 as proposed, using
updated CY 2023 claims data (as of July 11, 2024).
3. CY 2025 Comorbidity Subgroups
Thirty-day periods of care receive a comorbidity adjustment
category based on the presence of certain secondary diagnoses reported
on home health claims. These diagnoses are based on a home-health
specific list of clinically and statistically significant secondary
diagnosis subgroups with similar resource use, meaning the diagnoses
have at least as high as the median resource use and are reported in
more than 0.1 percent of 30-day periods of care. Home health 30-day
periods of care can receive a comorbidity adjustment under the
following circumstances:
High comorbidity adjustment: There are two or more
secondary diagnoses on the home health-specific comorbidity subgroup
interaction list that are associated with higher resource use when both
are reported together compared to when they are reported separately.
That is, the two diagnoses may interact with one another, resulting in
higher resource use.
Low comorbidity adjustment: There is a reported secondary
diagnosis on the home health-specific comorbidity subgroup list that is
associated with higher resource use.
No comorbidity adjustment: A 30-day period of care
receives no comorbidity adjustment if no secondary diagnoses exist or
do not meet the criteria for a low or high comorbidity adjustment.
In the CY 2019 HH PPS final rule with comment period (83 FR 56406),
we stated that we will continue to examine the relationship of reported
comorbidities on resource utilization and make the appropriate payment
refinements to help ensure that payment is in alignment with the actual
costs of providing care. For CY 2025, we proposed to use the same
methodology used to establish the comorbidity subgroups to update the
comorbidity subgroups using CY 2023 home health data with linked OASIS
data.
For CY 2025, we proposed to update the comorbidity subgroups to
include 22 low comorbidity adjustment subgroups and 97 high comorbidity
adjustment interaction subgroups. The proposed CY 2025 low comorbidity
adjustment subgroups and the high comorbidity adjustment interaction
subgroups including those diagnoses within each of these comorbidity
adjustments was included in the CY 2025 HH PPS proposed rule (89 FR
55340).
We invited comments on the proposed updates to the low comorbidity
adjustment subgroups and the high comorbidity adjustment interactions
for CY 2025.
Using more updated claims data, for CY 2025 there are 22 low
comorbidity subgroups, and 94 high comorbidity subgroups as shown in
tables 9 and 10.
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Comment: Several commenters expressed support for the proposed low
and high comorbidity adjustments, particularly those pertaining to low
comorbidity adjustments for diagnoses such as diabetes and endocrine
disorders. Commenters stated these adjustments will result in more
accurate payment, reflecting the resources required to effectively
manage patients with these conditions. Additionally, commenters
indicated that the proposed changes to the comorbidity subgroups align
with the stated objective of ensuring that payments more accurately
reflect the actual costs of providing care.
Response: We thank commenters for their support.
Comment: A commenter expressed concern that the COVID-19 diagnosis
was excluded from the comorbidity grouping list, despite its continued
impact on elderly and high-risk patients. Another commenter also
pointed out that Circulatory 1 (nutritional anemias) are grouped with
Skin 3 (non-pressure ulcers), but not with Skin 4 (pressure ulcers).
Furthermore, Circulatory 2 (hemolytic, aplastic, and other anemias) are
no longer grouped with either Skin 3 or Skin 4. Commenters raised
concerns as to why certain anemias are recognized as having an impact
on some ulcer types but not others. They also stated that the same
principle should apply to Circulatory 1 and Circulatory 2, as anemias
included in Circulatory 2 are likely to result in greater
complications, such as compromised strength and skin integrity, than
those in Circulatory 1.
Response: We appreciate commenters' thorough review of these
groupings. As outlined in the CY 2020 final rule with comment period
(84 FR 60510) and further detailed in the technical report ``Overview
of the Home Health Groupings Model'', the Home Health Specific
Comorbidity List stems from the principles of patient assessment by
providers, as well as the evaluation of body systems and their
associated diseases, conditions, and injuries. This framework was used
to develop condition categories that identify clinically relevant
relationships tied to increased resource use.
We acknowledge the complexity and breadth of clinical conditions,
comorbidities, and their interactions within the Medicare home health
population. However, we remind commenters that only subgroups of
diagnoses representing more than 0.1% of periods of care, and
demonstrating at least the median resource use, qualify for a low
comorbidity adjustment. For example, in reference to the commenter's
concern regarding the grouping of Circulatory 1 (nutritional anemias)
with Skin 3 (non-pressure ulcers), and the exclusion of Circulatory 2
(hemolytic, aplastic, and other anemias) from both Skin 3 and Skin 4
groupings, these categorizations are driven by data reflecting resource
utilization patterns. If the anemias in Circulatory 2 do not
demonstrate the requisite median resource use in relation to specific
ulcer types, such as Skin 4 (pressure ulcers), they would not qualify
for inclusion in the comorbidity list. This explains why certain
anemias appear in the comorbidity list for one ulcer category but not
for another despite clinical similarities or the potential for greater
clinical complications like compromised strength and skin integrity.
This methodology for determining statistical significance was detailed
in the CY 2020 final rule with comment period (84 FR 60510). It is
based on the understanding that the aggregate number of comorbidities
within the population forms the standard for payment purposes. While we
expect HHAs to report all secondary diagnoses that impact care
planning, nevertheless it is important to note that certain comorbidity
subgroups included in the Home Health Specific List may not meet the
criteria for a payment adjustment.
Final Decision: We are finalizing the updated comorbidity
adjustment subgroups and the high comorbidity adjustment interactions
using CY 2023 home health data. For CY 2025, the final updated
comorbidity adjustment subgroups include 22 low comorbidity adjustment
subgroups as identified in table 9 and 94 high comorbidity adjustment
interaction subgroups as identified in table 10. The final CY 2025 low
comorbidity adjustment subgroups and the high comorbidity adjustment
interaction subgroups including those diagnoses within each of these
comorbidity adjustments will also be posted on the HHA Center web page
at https://www.cms.gov/Center/Provider-Type/Home-Health-Agency-HHA-Center.
4. CY 2025 PDGM Case-Mix Weights
As finalized in the CY 2019 HH PPS final rule with comment period
(83 FR 56502), the PDGM places patients into meaningful payment
categories based on patient and other characteristics, such as timing,
admission source, clinical grouping using the reported principal
diagnosis, functional impairment level, and comorbid conditions. The
PDGM case-mix methodology results in 432 unique case-mix groups called
home health resource groups (HHRGs). We also finalized a policy in the
CY 2019 HH PPS final rule with comment period (83 FR 56515) to annually
recalibrate the PDGM case-mix weights using a fixed effects model with
the most recent and complete utilization data available at the time of
annual rulemaking. Annual recalibration of the PDGM case-mix weights
ensures that the case-mix weights reflect, as accurately as possible,
current home health resource use and changes in utilization patterns.
To generate the proposed recalibrated CY 2025 case-mix weights, we used
CY 2023 home health claims data with linked OASIS data (as of March 19,
2024). We included the proposed case-mix weights in table 25 of the
proposed rule (89 FR 55351). In this final rule, we updated these case-
mix weights with claims data as of July 11, 2024, as shown in table 11.
These data are the most current and complete data available at the time
of rulemaking.
The claims data provide visit-level data and data on whether non-
routine supplies (NRS) were provided during the period and the total
charges of NRS. We determine the case-mix weight for each of the 432
different PDGM payment groups by regressing resource use on a series of
indicator variables for each of the categories using a fixed effects
model as described in the following steps:
Step 1: Estimate a regression model to assign a functional
impairment level to each 30-day period. The regression model estimates
the relationship between a 30-day period's resource use and the
functional status and risk of hospitalization items included in the
PDGM, which are obtained from certain OASIS items. We refer readers to
table 25 of the proposed rule for further information on the OASIS
items used for the functional impairment level under the PDGM. We
measure resource use with the cost-per-minute + NRS approach that uses
information from 2022 home health cost reports. We use 2022 home health
cost report data because it is the most complete cost report data
available at the time of rulemaking. Other variables in the regression
model include the 30-day period's admission source, clinical group, and
30-day period timing. We also include home health agency level fixed
effects in the regression model. After estimating the regression model
using 30-day periods, we divide the coefficients that correspond to the
functional status and risk of hospitalization items by 10 and round to
the nearest whole number. Those rounded numbers are used to compute a
functional score for each 30-day period by summing together the rounded
numbers for the functional
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status and risk of hospitalization items that are applicable to each
30-day period. Next, each 30-day period is assigned to a functional
impairment level (low, medium, or high) depending on the 30-day
period's total functional score. Each clinical group has a separate set
of functional thresholds used to assign 30-day periods into a low,
medium or high functional impairment level. We set those thresholds so
that we assign roughly a third of 30-day periods within each clinical
group to each functional impairment level (low, medium, or high).
Step 2: A second regression model estimates the relationship
between a 30-day period's resource use and indicator variables for the
presence of any of the comorbidities and comorbidity interactions that
were originally examined for inclusion in the PDGM. Like the first
regression model, this model also includes home health agency level
fixed effects and includes control variables for each 30-day period's
admission source, clinical group, timing, and functional impairment
level. After we estimate the model, we assign comorbidities to the low
comorbidity adjustment if any comorbidities have a coefficient that is
statistically significant (p-value of 0.05 or less) and which have a
coefficient that is larger than the 50th percentile of positive and
statistically significant comorbidity coefficients. If two
comorbidities in the model and their interaction term have coefficients
that sum together to exceed $150 and the interaction term is
statistically significant (p-value of 0.05 or less), we assign the two
comorbidities together to the high comorbidity adjustment.
Step 3: After Step 2, each 30-day period is assigned to a clinical
group, admission source category, episode timing category, functional
impairment level, and comorbidity adjustment category. For each
combination of those variables (which represent the 432 different
payment groups that comprise the PDGM), we then calculate the 10th
percentile of visits across all 30-day periods within a particular
payment group. If a 30-day period's number of visits is less than the
10th percentile for their payment group, the 30-day period is
classified as a Low Utilization Payment Adjustment (LUPA). If a payment
group has a 10th percentile of visits that is less than two, we set the
LUPA threshold for that payment group to be equal to two. That means if
a 30-day period has one visit, it is classified as a LUPA and if it has
two or more visits, it is not classified as a LUPA.
Step 4: Take all non-LUPA 30-day periods and regress resource use
on the 30-day period's clinical group, admission source category,
episode timing category, functional impairment level, and comorbidity
adjustment category. The regression includes fixed effects at the level
of the home health agency. After we estimate the model, the model
coefficients are used to predict each 30-day period's resource use. To
create the case-mix weight for each 30-day period, the predicted
resource use is divided by the overall resource use of the 30-day
periods used to estimate the regression.
The case-mix weight is then used to adjust the base payment rate to
determine each 30-day period's payment. Table 11 shows the coefficients
of the payment regression used to generate the weights, and the
coefficients divided by average resource use.
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The final updated case-mix weights for CY 2025 are listed in table
12 and will also be posted on the HHA Center web page \10\ upon display
of this final rule.
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\10\ HHA Center web page: https://www.cms.gov/Center/Provider-Type/Home-Health-Agency-HHA-Center.
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Changes to the PDGM case-mix weights are implemented in a budget
neutral manner by multiplying the CY 2025 national standardized 30-day
period payment rate by a case-mix budget neutrality factor. Typically,
the case-mix weight budget neutrality factor is also calculated using
the most recent, complete home health claims data available. For CY
2025, we will continue the practice of using the most recent complete
home health claims data at the time of rulemaking, which is CY 2023
data. The case-mix budget neutrality factor is calculated as the ratio
of 30-day base payment rates such that total payments when the CY 2025
PDGM case-mix weights (developed using CY 2023 home health claims data)
are applied to CY 2023 utilization (claims) data are equal to total
payments when CY 2024 PDGM case-mix weights (developed using CY 2022
home health claims data) are applied to CY 2023 utilization data. This
produces a case-mix budget neutrality factor for CY 2025 of 1.0039.
We invited public comments on the CY 2025 proposed case-mix weights
and proposed case-mix weight budget neutrality factor.
Comment: Several commenters expressed support for the updated case-
mix weights using the most current data available for recalibration.
Response: We thank the commenters for their support.
Comment: A few commenters stated that any recalibration should not
be budget neutral. They stated this stance is based on several factors,
including the increasing acuity of patients, rising operational
expenses, growing demand for home health services, and the ongoing
labor shortage. Commenters stated that these factors warrant
consideration in ensuring adequate payment to align with the current
healthcare environment. Specifically, a commenter disagreed with the
downgrading of points for toilet transfers and ambulation. While the
commenter acknowledged that budget neutrality drives the reallocation
of points when others are increased, they expressed concern that
reducing points for ambulation may place less emphasis on this critical
task, potentially leading to higher fall rates and, consequently,
increased hospitalizations. The commenter also noted that while bathing
points were significantly increased, which they stated was beneficial,
the commenter stated the increase should not be as substantial,
especially given the larger reduction in points for toilet transfers
and ambulation. Additionally, some commenters expressed concern that
the proposed changes to the case-mix weights contribute to substantial
year-to-year payment variances, which may have a significant financial
impact on many providers as case-mix weights are driven lower. These
commenters noted that this variability in payment could create
financial challenges for providers, particularly those already dealing
with increasing costs and labor shortages.
Response: While we recognize that commenters have consistently
raised concerns regarding the annual recalibration of case mix weights
since the policy's initial finalization, we continue to believe that
annual recalibration of PDGM case mix weights is essential. This
approach promotes accurate weighting of the case mix weights to reflect
current home health resource utilization, changes in utilization
patterns, and the characteristics of patients currently receiving home
health services. Prolonging recalibration beyond an annual schedule
could result in greater variation in case mix weights, compared to
recalibrating using the most recent utilization data. Therefore, we
believe that utilizing calendar year 2023 data to recalibrate the
calendar year 2025 case-mix weights is appropriate. We direct
commenters to review the calendar year 2019 HH PPS final rule with
comment (83 FR 56502) for the finalized case-mix adjustment
methodology, as well as the detailed steps taken to determine the case-
mix weight for each of the 432 different PDGM payment groups, which are
outlined in this final rule. Furthermore, it is important to note that
both the recalibration of the PDGM case-mix weights and updates to the
HH PPS are implemented in a budget-neutral manner as statutorily
required in section 1895(b)(3)(A)(i) of the Act, ensuring that changes
to case-mix weights, functional impairment levels, comorbidity
adjustments, and updated wage data do not impact overall payments in
the aggregate.
We appreciate the commenters' recognition of our efforts to
recalibrate case-mix weights using the most current data available.
Regarding concerns about the downgrading of points for toilet transfers
and ambulation, we recognize the importance of accurately reflecting
the resource needs associated with these tasks. However, the
reallocation of points is driven by the need to maintain budget
neutrality, and any adjustments are made based on current utilization
data and resource allocation. While a few commenters expressed support
for the idea of non-budget neutral recalibration, it is important to
note that, as statutorily required by section 1895(b)(3)(A)(i) of the
Act, any adjustments to case-mix weights must be made in a budget
neutral manner to ensure that the aggregate level of payments resulting
from changes in case-mix weights remains consistent.
We also acknowledge the concern that case-mix weight changes may
lead to year-to-year payment variances and potential financial
challenges for providers. The intent of recalibration is to align
payments with actual resource use while maintaining overall budget
neutrality. As always, we will continue to evaluate the impact of these
adjustments and consider the evolving needs of the home health
population.
Final Decision: We are finalizing the recalibrated case-mix weights
for CY 2025, updated with claims data as of July 11, 2024. We did not
receive any comments on the proposed case-mix weight budget neutrality
factor. Therefore, we are finalizing the proposal to implement the
changes to the PDGM case-mix weights in a budget neutral manner by
applying a case-mix budget neutrality factor to the CY 2025 national,
standardized 30-day period payment rate. As stated previously, the
final case-mix budget neutrality factor for CY 2025 will be 1.0039.
5. Reassignment of Specific ICD-10-CM Codes Under the PDGM
a. Background
The 2009 final rule ``HIPAA Administrative Simplification:
Modifications to Medical Data Code Set Standards To Adopt ICD-10-CM and
ICD-10-PCS'' (74 FR 3328, January 16, 2009), set October 1, 2013, as
the compliance date for all covered entities under the Health Insurance
Portability and Accountability Act of 1996 (HIPAA) to use the
International Classification of Diseases, 10th Revision, Clinical
Modification (ICD-10-CM) and the International Classification of
Diseases, 10th Revision, Procedure Coding System (ICD-10-PCS) medical
data code sets. The ICD-10-CM diagnosis codes are granular and specific
and provide HHAs a better opportunity to report codes that best reflect
the patient's conditions that support the need for home health
services. However, as stated in the CY 2019 HH PPS final rule with
comment period (83 FR 56473), because the ICD-10-CM is comprehensive,
it also contains many codes that may not support the need for home
health services. For example, diagnosis codes that indicate death as
the outcome are Medicare covered codes but are not relevant to home
health. In addition, diagnosis and procedure coding guidelines may
specify the
[[Page 88403]]
sequence of ICD-10-CM coding conventions. For example, the underlying
condition must be listed first (for example, Parkinson's disease must
be listed prior to Dementia if both codes were listed on a claim).
Therefore, not all the ICD-10-CM diagnosis codes are appropriate as
principal diagnosis codes for grouping home health periods into
clinical groups or to be placed into a comorbidity subgroup when listed
as a secondary diagnosis. As such, each ICD-10-CM diagnosis code is
assigned, including those diagnosis codes designated as ``not
assigned'' (NA), to a clinical group and comorbidity subgroup within
the HH PPS grouper software (HHGS). We reminded readers the ICD-10-CM
diagnosis code list is updated each fiscal year with an effective date
of October 1st and therefore, the HH PPS is generally subject to a
minimum of two HHGS releases, one in October and one in January of each
year, to ensure that claims are submitted with the most current code
set available. Likewise, there may be new ICD-10-CM diagnosis codes
created (for example, codes for emergency use) or a new or revised edit
in the Medicare Code Editor (MCE) so an update to the HHGS may occur on
the first of each quarter (January, April, July, October). We encourage
readers to check the HHGS routinely at these times, as we do not
anticipate posting changes to the home health web page.
b. Methodology for ICD-10-CM Diagnosis Code Assignments
Although it is not our intent to review all ICD-10-CM diagnosis
codes each year, we recognize that occasionally some ICD-10-CM
diagnosis codes may require changes to their assigned clinical group
and/or comorbidity subgroup. For example, there may be an update to the
MCE unacceptable principal diagnosis list, or we receive public
comments from interested parties requesting specific changes. Any
addition or removal of a specific diagnosis code to the ICD-10-CM code
set (for example, three new diagnosis codes, Z28.310, Z28.311 and
Z28.39, for reporting COVID-19 vaccination status were effective April
1, 2022) or minor tweaks to a descriptor of an existing ICD-10-CM
diagnosis code generally could be implemented as appropriate and may
not be discussed in rulemaking.
We rely on the expert opinion of our clinical reviewers (for
example, nurse consultants and medical officers) and current ICD-10-CM
coding guidelines to determine if the ICD-10-CM diagnosis codes under
review for reassignment are significantly similar or different to the
existing clinical group and/or comorbidity subgroup assignment. As we
stated in the CY 2018 HH PPS proposed rule (82 FR 35313), the intent of
the clinical groups is to reflect the reported principal diagnosis,
clinical relevance, and coding guidelines and conventions. Therefore,
for the purposes of assignment of ICD-10-CM diagnosis codes into the
PDGM clinical groups we will not conduct additional statistical
analysis as such decisions are clinically based and the clinical groups
are part of the overall case-mix weights.
As we noted in the CY 2019 HH PPS final rule with comment period
(83 FR 56486), the home health-specific comorbidity list is based on
the principles of patient assessment by body systems and their
associated diseases, conditions, and injuries to develop larger
categories of conditions that identified clinically relevant
relationships associated with increased resource use, meaning the
diagnoses have at least as high as the median resource use and are
reported in more than 0.1 percent of 30-day periods of care. If
specific ICD-10-CM diagnosis codes are to be reassigned to a different
comorbidity subgroup (including NA), we will first evaluate the
clinical characteristics (as discussed previously for clinical groups)
and if the ICD-10-CM diagnosis code does not meet the clinical
criteria, then no reassignment will occur. However, if an ICD-10-CM
diagnosis code does meet the clinical criteria for a comorbidity
subgroup reassignment, then we will evaluate the resource consumption
associated with the ICD-10-CM diagnosis codes, the current assigned
comorbidity subgroup, and the proposed (reassigned) comorbidity
subgroup. This analysis is to ensure that any reassignment of an ICD-
10-CM diagnosis code (if reported as secondary) in any given year will
not significantly alter the overall resource use of a specific
comorbidity subgroup. For resource consumption, we use non-LUPA 30-day
periods to evaluate the total number of 30-day periods for the
comorbidity subgroup(s) and the ICD-10-CM diagnosis code, the average
number of visits per 30-day periods for the comorbidity subgroup(s) and
the ICD-10-CM diagnosis code, and the average resource use for the
comorbidity subgroup(s) and the ICD-10-CM diagnosis code. The average
resource use measures the costs associated with visits performed during
a home health period and was previously described in the CY 2019 HH PPS
final rule with comment period (83 FR 56450).
c. Request for ICD-10-CM Diagnosis Code Reassignments to a PDGM
Clinical Group or Comorbidity Subgroup--Renal 3 Comorbidity Subgroup
We received questions from interested parties regarding the ICD-10-
CM diagnosis codes N30.00- (acute cystitis) and the ICD-10-CM diagnosis
code N39.0 (urinary tract infection, site not specified). Specifically,
CMS received a request to reassign N30.00 to the same clinical and
comorbidity group as N39.0. The ICD-10-CM diagnosis codes N30.00-
(acute cystitis) are currently assigned to clinical group J (MMTA--
Gastrointestinal tract and Genitourinary system) when listed as a
primary diagnosis and not assigned to a comorbidity subgroup when
listed as a secondary diagnosis. The ICD-10-CM diagnosis code N39.0
(urinary tract infection, site not specified) is currently assigned to
clinical group J (MMTA--Gastrointestinal tract and Genitourinary
system) when listed as a primary diagnosis and assigned to the renal 3
comorbidity subgroup when listed as a secondary diagnosis.
We reviewed the ICD-10-CM diagnosis codes related to cystitis
(N30.-) and determined all 14 of the codes are not assigned to a
comorbidity subgroup when listed as a secondary diagnosis. Our clinical
reviewers advised that cystitis, including N30.00- (acute cystitis), is
to report inflammation of the urinary bladder; whereas N39.0 (urinary
tract infection, site not specified) is to report the presence of the
infectious microorganisms in the urinary tract system. In addition, we
evaluated resource consumption related to the comorbidity subgroup
renal 3, as well as diagnosis codes N30.00- (acute cystitis) and N39.0
(urinary tract infection, site not specified) and found that acute
cystitis on average has a lower resource use than urinary tract
infection (UTI). As described earlier, based on clinical review and
resources use analysis, the ICD-10-CM diagnosis codes N30.00- (acute
cystitis) are currently assigned to the most appropriate comorbidity
group, not assigned. Therefore, we did not propose a reassignment of
N30.00- (acute cystitis) at this time.
Comment: We received a comment requesting we reassign N30.00-
(acute cystitis) to receive the same clinical grouping and comorbidity
subgroup as an unspecified UTI. Another commenter stated they believe
diagnoses were missing from comorbidity groups, such as sepsis that was
not grouped with UTI. Other commenters requested rheumatic mitral value
diseases I05.- and aortic rheumatic valve diseases I06.- should be
assigned to the comorbidity subgroup
[[Page 88404]]
Heart 9 and that F01., Vascular dementia, be reassigned to the
behavioral health clinical group.
Response: We appreciate the commenters diligent review of the ICD-
10-CM diagnosis codes and their assigned clinical and comorbidity
group. We remind readers that not all diagnosis codes are assigned a
clinical group and/or a comorbidity group under the HH PPS payment
policy. As we did not propose any reassignments at this time, these
comments are considered out of scope for this rule. Additionally, to
evaluate clinically and, when needed, statistically, a request for a
diagnosis code's clinical group or comorbidity subgroup reassignment,
we require the current assignment of the diagnosis code(s), the
requested reassignment, and any supporting evidence for the
reassignment (for example, similar clinical management and services).
As we stated in the CY 2023 HH PPS final rule (87 FR 66808) if an ICD-
10-CM diagnosis code is to be reassigned from one clinical group and/or
a comorbidity subgroup to another clinical/comorbidity group, either
through a request from the public or internal analysis, as the change
may affect payment, it is necessary to propose these changes through
notice and comment rulemaking. Lastly, while we attempt to evaluate
requests in the order in which they are received, the length of time
needed to sufficiently evaluate a request varies. For future requests
for ICD-10 code reassignments, readers can send their request(s) to the
Home Health Policy mailbox: [email protected].
E. CY 2025 Home Health Payment Rate Updates
1. Final CY 2025 Home Health Market Basket Update for HHAs
Section 1895(b)(3)(B) of the Act requires that the standard
prospective payment amounts for home health 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. In the CY 2024
HH PPS final rule (88 FR 77726), we finalized a rebasing of the home
health market basket to reflect 2021 cost report data. We also
finalized a policy for CY 2024 and subsequent years that the labor-
related share will be 74.9 percent, and the non-labor-related share
will be 25.1 percent. A detailed description of how we rebased the home
health market basket and labor-related share is available in the CY
2024 HH PPS final rule (88 FR 77726 through 77742).
In the CY 2015 HH PPS final rule (79 FR 38384), we finalized our
methodology for calculating and applying the multifactor productivity
adjustment. As we explained in that rule, section 1895(b)(3)(B)(vi) of
the Act, requires that, in CY 2015 (and in subsequent calendar years,
except CY 2018 (under section 411(c) of the Medicare Access and CHIP
Reauthorization Act of 2015 (MACRA) (Pub. L. 114-10, enacted April 16,
2015)), the market basket percentage under the HH PPS as described in
section 1895(b)(3)(B) of the Act be annually adjusted by changes in
economy-wide productivity. Section 1886(b)(3)(B)(xi)(II) of the Act
defines the productivity adjustment to be equal to the 10-year moving
average of change in annual economy-wide private nonfarm business
multifactor productivity (as projected by the Secretary for the 10-year
period ending with the applicable fiscal year, calendar year, cost
reporting period, or other annual period). The Bureau of Labor
Statistics (BLS) publishes the official measures of productivity for
the United States economy. We note that previously the productivity
measure referenced in section 1886(b)(3)(B)(xi)(II) of the Act was
published by BLS as private nonfarm business multifactor productivity.
Beginning with the November 18, 2021, release of productivity data, BLS
replaced the term ``multifactor productivity'' with ``total factor
productivity'' (TFP). BLS noted that this is a change in terminology
only and will not affect the data or methodology. As a result of the
BLS name change, the productivity measure referenced in section
1886(b)(3)(B)(xi)(II) of the Act is now published by BLS as ``private
nonfarm business total factor productivity''. We refer readers to
https://www.bls.gov for the BLS historical published TFP data. A
complete description of IHS Global Inc.'s (IGI) TFP projection
methodology is available on the CMS website at https://www.cms.gov/data-research/statistics-trends-and-reports/medicare-program-rates-statistics/market-basket-research-and-information.
The proposed home health update percentage for CY 2025 was based on
the estimated home health market basket percentage increase, specified
at section 1895(b)(3)(B)(iii) of the Act, of 3.0 percent (based on IHS
Global Inc.'s first quarter 2024 forecast with historical data through
fourth quarter 2023). The estimated CY 2025 home health market basket
percentage increase of 3.0 percent was then reduced by a productivity
adjustment, in accordance with section 1895(b)(3)(B)(vi) of the Act.
Based on IGI's first quarter 2024 forecast, the proposed productivity
adjustment was estimated to be 0.5 percentage point for CY 2025.
Therefore, the proposed productivity-adjusted CY 2025 home health
market basket update was 2.5 percent (3.0 percent market basket
percentage increase, reduced by a 0.5 percentage point productivity
adjustment). Furthermore, we proposed that if more recent data
subsequently became available (for example, a more recent estimate of
the market basket and/or productivity adjustment), we would use such
data, if appropriate, to determine the CY 2025 market basket percentage
increase and productivity adjustment in the final rule.
For this final rule, based on updated data from IGI's third quarter
2024 forecast with historical data through the second quarter of 2024,
the 2021-based home health market basket percentage increase for CY
2025 is 3.2 percent reduced by a 0.5 percentage point productivity
adjustment which results in a final CY 2025 update percentage of 2.7
percent.
Section 1895(b)(3)(B)(v) of the Act requires that the home health
percentage update be decreased by 2 percentage points for those HHAs
that do not submit quality data as required by the Secretary. For HHAs
that do not submit the required quality data for CY 2025, the proposed
home health payment update percentage was 0.5 percent (2.5 percent
minus 2 percentage points). For this final rule, for HHAs that do not
submit the required data for CY 2025, the final home health payment
update percentage is 0.7 percent (2.7 percent minus 2 percentage
points).
We invited public comment on our proposals for the CY 2025 home
health market basket percentage increase and productivity adjustment.
Comment: A few commenters stated that they appreciate the market
basket update and that they support the methodology resulting in a
proposed positive payment update of 2.5 percent.
Response: We thank the commenters for their support.
Comment: Some commenters asserted that the proposed update is not
enough to account for the increase in costs that home health agencies
have faced. Commenters stated that home health agencies continue to
face stubborn and rising inflation which they state affects the costs
of medical supplies, medications, materials, utilities, transportation,
as well increases in labor costs. They note that retention and
recruitment of staff remains a priority,
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but there have been challenges due to personnel shortages and the need
to compete with other health care sectors, which continues to apply
upward pressure to the cost of labor. Specifically, a commenter stated
that their labor costs have increased nearly 12 percent between 2021
and 2024, and that they are projecting significant future cost
increases to recruit and retain the workforce necessary to meet rapidly
increasing demand.
A commenter suggested CMS examine trends relative to IHS Global
Inc.'s forecasts to determine whether more recently available data than
used for the final CY 2025 rule would result in a higher market basket
update and determine whether additional updates could be made during
the course of CY 2025 to provide additional support to home health and
other providers.
Some commenters stated that since 2021, they believe IGI's
forecasted growth for the home health market basket has shown a
consistent trend of under-forecasting actual market basket growth. They
stated they were cognizant of the fact that forecasts will always be
imperfect, but the commenters claimed that in the past, they have been
more balanced. However, with what they state are four straight years of
under-forecasts, the commenters were concerned that there is a more
systemic issue with IGI's forecasting. They stated that missed
forecasts have a significant and permanent impact on providers. The
commenters claimed that this has resulted in ongoing and permanent
underpayments to HHAs that is totaling approximately $700 million
annually.
The commenters stated that in addition to inaccurate forecasts, the
underlying market basket itself may have shortcomings that fail to
properly capture growth. They noted that there has been a very large
growth in providers' costs in the last several years, and that it is
confounding how providers with labor-intensive services could have a
change in the actual market basket growth that is 4 percentage points
below general inflation as measured by the CPI-U. Commenters urged CMS
to re-examine the market basket and forecast methodology, and a
commenter urged CMS to provide greater transparency regarding the
forecast methodology so that it might benefit from stakeholder input.
Response: We appreciate the commenters' concerns. We are required
to update HH PPS payments by the market basket update adjusted for
productivity, as directed by section 1895(b)(3)(B) of the Act.
Specifically, section 1895(b)(3)(B)(iii) of the Act states that the
increase factor shall be based on an appropriate percentage increase in
a market basket of goods and services included in home health services
in the same manner as the market basket percentage increase under
section 1886(b)(3)(B)(iii) of the Act is determined and applied to the
mix of goods and services comprising inpatient hospital services for
the fiscal year or year. There is not currently a mechanism in place to
allow for additional updates during the course of CY 2025, as was
suggested by the commenter, beyond the percentage increase described
here.
The home health market basket is a fixed-weight, Laspeyres-type
index that measures price changes over time and would not reflect
increases in costs associated with changes in the volume or intensity
of input goods and services. As such, the home health market basket
update would reflect the prospective price pressures described by the
commenters (such as wage growth or higher energy prices) but would
inherently not reflect other factors that might increase the level of
costs, such as the quantity of labor used. We note that cost changes
(that is, the product of price and quantities) would only be reflected
when the base year weights are updated to a more recent time period.
We would also highlight that the market basket percentage increase
is a forecast of the price pressures that HHAs are expected to face in
2025. IHS Global Inc. (an Affiliate of S&P Global Inc.) is a nationally
recognized economic and financial forecasting firm (a participant in
the Blue Chip Economic Indicators[supreg]) with which CMS contracts to
forecast the components of the market baskets. While this most recent
period has been marked by a consistent under forecasting of the market
basket forecast, over longer periods the forecasts have generally
averaged close to the historical measures. We note that when developing
its forecasts of employment cost indices, IHS Global Inc. considers
overall labor market conditions (including a rise in contract labor
employment due to tight labor market conditions) as well as trends in
contract labor wages, which both have an impact on wage pressures for
workers employed directly by the HHA. CMS will continue to monitor the
methods associated with the market basket forecasts to ensure there are
not underlying systematic issues in the forecasting approach.
While we did not propose to rebase or revise the home health market
basket in the CY 2025 HH PPS proposed rule, we note that we finalized
the 2021-based home health market basket in the CY 2024 HH PPS final
rule (88 FR 77726). At the time of the CY 2024 rulemaking cycle, the
2021 Medicare cost report data was the most comprehensive data source
available. While we typically rebase in regular intervals (roughly
every four years), we monitor the Medicare cost report data to assess
whether rebasing on a more frequent schedule is technically
appropriate, and we will continue to do so in the future. In addition,
we welcome any suggestions for technical improvements to the home
health market basket and note that any changes would be proposed and
established through notice and comment rulemaking.
At the time of the CY 2025 HH PPS proposed rule, based on the IHS
Global Inc. first quarter 2024 forecast with historical data through
the fourth quarter of 2023, the 2021-based home health market basket
update was forecasted to be 3.0 percent for CY 2025, reflecting
forecasted compensation price growth of 3.4 percent. This reflects an
expectation that the growth in compensation costs will ease relative to
the 2021-2023 period but remain elevated relative to historical
compensation growth rates (which averaged 2.1 percent in the 10-year
period from 2011 through 2020). We appreciate the commenter's concern
regarding inflationary pressure and the request to use more recent data
to determine the CY 2025 home health market basket update. In the CY
2025 HH PPS proposed rule, we proposed that if more recent data became
available, we would use such data, if appropriate, to derive the final
CY 2025 home health market basket update for the final rule. For this
final rule, we now have an updated forecast of the price proxies
underlying the market basket that incorporates more recent historical
data and reflects a revised outlook regarding the U.S. economy and
expected price inflation for CY 2025. Based on IHS Global Inc.'s third
quarter 2024 forecast with historical data through the second quarter
of 2024, we are projecting a CY 2025 home health market basket update
of 3.2 percent (reflecting forecasted compensation price growth of 3.5
percent) and a productivity adjustment of 0.5 percentage point.
Therefore, for CY 2025 a final productivity-adjusted home health market
basket update of 2.7 percent (3.2 percent reduced by 0.5 percentage
point) will be applicable, compared to the 2.5 percent productivity-
adjusted home health market basket update that was proposed.
[[Page 88406]]
Comment: Several commenters stated that CMS should recognize the
financial impact of its forecasting error with respect to the annual
Market Basket Index updates from 2021 and 2022 and exercise its
authority to implement a one-time adjustment of 5.2 percent to account
for the forecasting error. A few commenters suggested alternative
forecast error adjustments ranging from approximately 4.4 to 5.7
percent to account for under forecasts in the period from 2021 through
2023.
Response: The home health market basket updates are set
prospectively, which means that the update relies on a mix of both
historical data for part of the period for which the update is
calculated and forecasted data for the remainder. For instance, the CY
2025 market basket update in this final rule reflects historical data
through the second quarter of CY 2024 and forecasted data from the
third quarter of CY 2024 through the fourth quarter of CY 2025. There
is currently no mechanism to adjust for market basket forecast error in
the home health payment update. A forecast error for a market basket
update is equal to the actual market basket percentage increase for a
given year less the forecasted market basket percentage increase. Due
to the uncertainty regarding future price trends, forecast errors can
be both positive and negative, as has occurred since the implementation
of the HH PPS.
Over most of this history the forecast errors were smaller in
magnitude, with the largest error prior to 2021 being an over forecast
of 1.2 percentage points in 2009. More recently the home health market
basket has been under forecast, as noted by the commenters, with larger
errors occurring for 2021 through 2023. The cumulative forecast error
since HH PPS inception (fiscal year 2002 to CY 2023, excluding CY 2018
and CY 2020 when the market basket update was statutorily mandated) is
-0.7 percent. The recent forecast errors were largely a function of
uncertainty in the overall economy and the health sector specifically
due to the nature of the public health emergency and the unforeseen
rapidly accelerating inflationary environment.
For this final rule, we have incorporated more recent historical
data and forecasts to capture the price and wage pressures facing HHAs
and believe it is the best available projection of inflation to
determine the applicable percentage increase for the HHA payments in CY
2025.
Comment: A commenter stated they are disappointed that CMS has not
taken increased workforce safety costs into consideration. They
indicated that workforce safety is an area of growing concern for the
home health industry at large and it will take significant investments
in training, security and equipment to keep home health clinicians safe
while working in the home and community. The commenter stated that
there is currently no area to report many of these unique environmental
and safety costs on the Medicare cost report. The commenter stated that
they believe that CMS needs to work with the home health industry to
ensure that workplace safety costs and other unique expenditures
related to home health are considered when determining the home health
payment rate update.
Response: We recognize the importance of ensuring workforce safety.
CMS reminds commenters that these costs may be recorded under the Plant
Operation & Maintenance cost center, which includes costs associated
with ``protecting employees, visitors, and HHA property.''
As detailed in the CY 2024 HH PPS final rule (88 FR 77728), costs
recorded in the overhead cost centers are used to derive the major cost
weights, and thus any significant changes in the volume or intensity of
investment since the base year (currently 2021) would be a factor in
the cost weights when the home health market basket is next rebased.
Final Decision: After consideration of public comments, we are
finalizing the home health payment update percentage for CY 2025 based
on the most recent forecast of the home health market basket percentage
increase and productivity adjustment at the time of rulemaking. Based
on IHS Global Inc.'s third quarter 2024 forecast with historical data
through the second quarter of 2024, we are projecting a CY 2025 home
health market basket update of 3.2 percent and a productivity
adjustment of 0.5 percentage point. Therefore, we are finalizing for CY
2025 a final productivity-adjusted home health market basket update of
2.7 percent (3.2 percent reduced by 0.5 percentage point).
2. Adoption of the CBSA Delineations for the HH PPS Wage Index
In general, OMB issues major revisions to statistical areas every
10 years, based on the results of the decennial census. However, OMB
occasionally issues minor updates and revisions to statistical areas in
the years between the decennial censuses.
On February 28, 2013, OMB issued Bulletin No. 13-01, announcing
revisions to the delineations of MSAs, Micropolitan Statistical Areas,
and CBSAs, and guidance on uses of the delineation of these areas. In
the CY 2015 HH PPS final rule (79 FR 66085 through 66087), we adopted
OMB's area delineations using a 1-year transition.
On August 15, 2017, OMB issued Bulletin No. 17-01 in which it
announced that one Micropolitan Statistical Area, Twin Falls, Idaho,
now qualifies as a Metropolitan Statistical Area. The new CBSA (46300)
comprises the principal city of Twin Falls, Idaho in Jerome County,
Idaho and Twin Falls County, Idaho. The CY 2025 HH PPS wage index value
for CBSA 46300, Twin Falls, Idaho, will be 0.8519. Bulletin No. 17-01
is available at https://www.whitehouse.gov/wp-content/uploads/legacy_drupal_files/omb/bulletins/2017/b-17-01.pdf.
On April 10, 2018, OMB issued OMB Bulletin No. 18-03, which
superseded the August 15, 2017, OMB Bulletin No. 17-01. On September
14, 2018, OMB issued OMB Bulletin No. 18-04 which superseded the April
10, 2018, OMB Bulletin No. 18-03. These bulletins established revised
delineations for Metropolitan Statistical Areas, Micropolitan
Statistical Areas, and Combined Statistical Areas, and provided
guidance on the use of the delineations of these statistical areas. A
copy of OMB Bulletin No. 18-04 may be obtained at https://www.bls.gov/bls/omb-bulletin-18-04-revised-delineations-of-metropolitan-statistical-areas.pdf.
On March 6, 2020, OMB issued Bulletin No. 20-01, which provided
updates to and superseded OMB Bulletin No. 18-04 that was issued on
September 14, 2018. The attachments to OMB Bulletin No. 20-01 provided
detailed information on the update to statistical areas since September
14, 2018, and were based on the application of the 2010 Standards for
Delineating Metropolitan and Micropolitan Statistical Areas to Census
Bureau population estimates for July 1, 2017, and July 1, 2018. (For a
copy of this bulletin, we refer readers to https://www.whitehouse.gov/wp-content/uploads/2020/03/Bulletin-20-01.pdf.) In OMB Bulletin No. 20-
01, OMB announced one new Micropolitan Statistical Area, one new
component of an existing Combined Statistical Area and changes to New
England City and Town Area (NECTA) delineations. In the CY 2021 HH PPS
final rule (85 FR 70298), we stated that if appropriate, we will
propose any updates from OMB Bulletin No. 20-01 in future rulemaking.
After reviewing OMB Bulletin No. 20-01, we determined that the changes
in Bulletin 20-01 encompassed delineation changes that
[[Page 88407]]
did not affect the Medicare home health wage index for CY 2022.
Specifically, the updates consisted of changes to NECTA delineations
and the re-designation of a single rural county into a newly created
Micropolitan Statistical Area. The Medicare home health wage index does
not utilize NECTA definitions, and, as most recently discussed in the
CY 2021 HH PPS final rule (85 FR 70298) we include hospitals located in
Micropolitan Statistical areas in each State's rural wage index. In
other words, these OMB updates did not affect any geographic areas for
purposes of the HH PPS wage index calculation.
In the CY 2021 HH PPS final rule (85 FR 70298), we finalized our
proposal to adopt the revised OMB delineations with a 5-percent cap on
wage index decreases in CY 2021. In the CY 2023 HH PPS final rule (87
FR 66851 through 66853), we finalized a policy that the CY HH PPS wage
index will include a permanent 5-percent cap on wage index decreases
for CY 2023 and each subsequent year. Specifically, we finalized for CY
2023 and subsequent years, the application of a permanent 5-percent cap
on any decrease to a geographic area's wage index from its wage index
in the prior year, regardless of the circumstances causing the decline.
That is, we finalized a policy requiring that a geographic area's wage
index for CY 2023 will not be less than 95 percent of its final wage
index for CY 2022, regardless of whether the geographic area is part of
an updated CBSA, and that for subsequent years, a geographic area's
wage index will not be less than 95 percent of its wage index
calculated in the prior CY. Previously this methodology was applied to
all the counties that make up a CBSA or statewide rural area. However,
as discussed in section II.E.2. of this final rule, because we proposed
to adopt the revised OMB delineations, we also proposed that this
methodology would also be applied to individual counties.
On July 21, 2023, OMB issued Bulletin No. 23-01, which updates and
supersedes OMB Bulletin No. 20-01, issued on March 6, 2020. OMB
Bulletin No. 23-01 establishes revised delineations for the MSAs,
Micropolitan Statistical Areas, Combined Statistical Areas, and
Metropolitan Divisions, collectively referred to as Core Based
Statistical Areas (CBSAs). According to OMB, the delineations reflect
the 2020 Standards for Delineating Core Based Statistical Areas (CBSAs)
(the ``2020 Standards''), which appeared in the Federal Register (86 FR
37770 through 37778) on July 16, 2021, and application of those
standards to Census Bureau population and journey-to-work data (for
example, 2020 Decennial Census, American Community Survey, and Census
Population Estimates Program data). A copy of OMB Bulletin No. 23-01 is
available online at https://www.whitehouse.gov/wp-content/uploads/2023/07/OMB-Bulletin-23-01.pdf. The July 21, 2023, OMB Bulletin No. 23-01
contains a number of significant changes. For example, there are new
CBSAs, urban counties that have become rural, rural counties that have
become urban, and existing CBSAs that have been split apart. We believe
it is important for the HH PPS wage index to use the latest OMB
delineations available in order to maintain a more accurate and up-to-
date payment system that reflects the reality of population shifts and
labor market conditions. We further believe that using the most current
OMB delineations will increase the integrity of the HH PPS wage index
by creating a more accurate representation of geographic variation in
wage levels. We proposed to implement the new OMB delineations as
described in the July 21, 2023, OMB Bulletin No. 23-01 for the HH PPS
wage index effective beginning in CY 2025. The proposal was also
consistent with the proposals to adopt the revised OMB delineations in
the IPPS and other post-acute care payment systems.
a. Micropolitan Statistical Areas
As discussed in the CY 2006 HH PPS proposed rule (70 FR 40788) and
final rule (70 FR 68132), CMS considered how to use the Micropolitan
statistical area definitions in the calculation of the wage index. At
the time, OMB defined a ``Micropolitan Statistical Area'' as a CBSA
associated with at least one urban cluster that has a population of at
least 10,000, but less than 50,000 (75 FR 37252). We referred to these
as Micropolitan Areas. After extensive impact analysis, consistent with
the treatment of these areas under the IPPS as discussed in the fiscal
year (FY) 2005 IPPS final rule (69 FR 49029 through 49032), we
determined the best course of action will be to treat Micropolitan
Areas as ``rural'' and include them in the calculation of each state's
home health rural wage index (see 70 FR 40788 and 70 FR 68132). Thus,
the HH PPS statewide rural wage index is determined using IPPS hospital
data from hospitals located in non-Metropolitan Statistical Areas
(MSAs). In the CY 2021 HH PPS final rule (85 FR 70298), we finalized a
policy to continue to treat Micropolitan Areas as ``rural'' and to
include Micropolitan Areas in the calculation of each state's rural
wage index.
The OMB ``2020 Standards'' continue to define a ``Micropolitan
Statistical Area'' as a CBSA with at least one urban area that has a
population of at least 10,000, but less than 50,000. The Micropolitan
Statistical Area comprises the central county or counties containing
the core, plus adjacent outlying counties having a high degree of
social and economic integration with the central county, or counties as
measured through commuting (86 FR 37778). Overall, there are the same
number of Micropolitan Areas (542) under the new OMB delineations based
on the 2020 Census as there were using the 2010 Census. We note,
however, that a number of urban counties have switched status and have
joined or become Micropolitan Areas, and some counties that once were
part of a Micropolitan Area, and thus were treated as rural, have
become urban based on the 2020 Decennial Census data. In the CY 2025 HH
PPS proposed rule, we stated that we believe that the best course of
action would be to continue our established policy and include
Micropolitan Areas in each state's rural wage index as these areas
continue to be defined as having relatively small urban cores
(populations of 10,000 to 49,999) (89 FR 55364). Therefore, in
conjunction with our proposal to implement the new OMB labor market
delineations beginning in CY 2025, and consistent with the treatment of
Micropolitan Areas under the IPPS, we also proposed to continue to
treat Micropolitan Areas as ``rural'' and to include Micropolitan Areas
in the calculation of each state's rural wage index.
Final Decision: We did not receive any comments on our proposal to
continue to treat Micropolitan Areas as rural and to include those
areas in the calculation of each State's rural wage index. We are
finalizing this policy as proposed.
b. Change to County-Equivalents in the State of Connecticut
In a June 6, 2022, Federal Register notice (87 FR 34235 through
34240), the Census Bureau announced that it was implementing the State
of Connecticut's request to replace the eight counties in the State
with nine new ``Planning Regions.'' Planning regions are included in
OMB Bulletin No. 23-01 and now serve as county-equivalents within the
CBSA system. We evaluated the change and proposed to adopt the planning
regions as county equivalents for wage index purposes. We believe it is
necessary to adopt this migration from counties to planning region
county-equivalents in order to maintain
[[Page 88408]]
consistency with our established policy of adopting the most recent OMB
updates. We provided the crosswalk in table 26 of the proposed rule (89
FR 55364) for counties located in Connecticut with the current and
proposed Federal Information Processing Series (FIPS) county and
county-equivalent codes and CBSA assignments.
[GRAPHIC] [TIFF OMITTED] TR07NO24.041
Final Decision: We did not receive any comments on our proposal to
adopt the Connecticut planning regions as county equivalents for wage
index purposes. We are finalizing this policy as proposed. The
crosswalk in table 13 includes counties located in Connecticut with the
current and final FIPS county and county-equivalent codes and CBSA/
transition code assignments.
c. Urban Counties That Will Become Rural
In the CY 2025 HH PPS proposed rule, we inadvertently omitted
Windham County, CT from the list of counties that would become rural
under the revised OMB statistical area delineations (based upon OMB
Bulletin No. 23-01). For this final rule, Windham County has been
included. Therefore, there are a total of 54 counties (and county
equivalents) that are currently considered urban that will be
considered rural beginning in CY 2025. Table 14 lists the 54 counties
that will become rural if we finalize our proposal to implement the
revised OMB delineations.
[[Page 88409]]
[GRAPHIC] [TIFF OMITTED] TR07NO24.042
We invited public comment on our proposal to redesignate the urban
counties in table 14 as rural based on the revised OMB delineations
from OMB Bulletin No. 23-01.
[[Page 88410]]
Comment: Several commenters expressed concern with the proposal to
redesignate urban counties as rural based on the revised delineations
from OMB Bulletin No. 23-01. A few commenters stated that changes to
the wage index that would move some agencies from an urban designation
to a rural one would further reduce agency reimbursement at a time when
rural agencies are facing increased challenges recruiting and retaining
employees. Another commenter stated that utilizing the revised OMB data
for the CBSAs results in even more disparity between urban and rural
agencies than there was under the prior delineations. This commenter
stated that the one-year wage index cap of 5 percent is insufficient to
mitigate rate decreases and that many newly classified rural agencies
will be severely impacted.
Response: We appreciate the concerns raised by the commenters.
However, we continue to believe it is important for the HH PPS wage
index to use the latest OMB delineations available in order to maintain
a more accurate and up-to-date payment system that reflects the reality
of population shifts and labor market conditions. We note that unlike
other payment systems, the appropriate home health wage index value is
applied 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) and
not the agency's location. While some urban counties are becoming rural
based on the revised delineations, HHAs are able to serve beneficiaries
in more than one county including counties that remain designated as
urban. Furthermore, as discussed later in this final rule, we believe
that applying the permanent 5-percent cap policy at the county level
would mitigate potential negative impacts experienced by HHAs who
provide services in counties that have been redesignated as rural. We
proposed to apply the permanent 5-percent cap at the county level so
that counties that move from a CBSA or statewide rural area with a
higher wage index value into a new CBSA or rural area with a lower wage
index value will have a CY 2025 wage index that is not less than 95
percent of the county's CY 2024 wage index value under the old
delineation, despite moving into a new delineation with a lower wage
index. We also proposed that the 5-percent cap would continue to be
applied in these counties until a county's current calendar year wage
index under the revised delineations is not less than 95 percent of the
wage index from the previous calendar year. Therefore, we believe the
5-percent cap applied at the county level is sufficient to mitigate any
negative impacts of adopting the revised delineations.
Final Decision: After consideration of public comments, we are
finalizing the proposal to redesignate the 54 urban counties listed in
table 14 as rural for purposes of the HH PPS wage index beginning in CY
2025.
d. Rural Counties That Will Become Urban
Under the revised OMB statistical area delineations (based upon OMB
Bulletin No. 23-01), a total of 54 counties (and county equivalents)
that are currently located in rural areas will be considered located in
urban areas under the revised OMB delineations beginning in CY 2025.
Table 15 lists the 54 counties that will be urban if we finalize our
proposal to implement the revised OMB delineations.
[[Page 88411]]
[GRAPHIC] [TIFF OMITTED] TR07NO24.043
Final Decision: We did not receive public comments on our proposal
to redesignate the 54 rural counties listed in table 15 as urban based
on the revised OMB delineations from OMB Bulletin No. 23-01. Therefore,
we are finalizing the policy as proposed.
e. Urban Counties That Will Move to a Different Urban CBSA Under the
Revised OMB Delineations
In addition to some rural counties becoming urban and some urban
counties becoming rural, several urban counties will shift from one
urban CBSA to a new or existing urban CBSA under our proposal to adopt
the revised OMB delineations. In other cases, applying the new OMB
delineations will involve a change only in CBSA name or number, while
the CBSA will continue to encompass the same constituent counties. For
example, CBSA 35154 (New Brunswick-Lakewood, NJ) will experience both a
change to its number and its name and become CBSA 29484
[[Page 88412]]
(Lakewood-New Brunswick, NJ), while all three of its constituent
counties will remain the same. In other cases, only the name of the
CBSA will be modified. Table 16 lists CBSAs that will change in name
and/or CBSA number only, but the constituent counties will not change
(except in instances where an urban county became rural or a rural
county became urban, as discussed in the previous section).
BILLING CODE 4120-01-P
[[Page 88413]]
[GRAPHIC] [TIFF OMITTED] TR07NO24.044
In some cases, all urban counties from a CY 2024 CBSA will be moved
and subsumed by another CBSA in CY 2025. Table 17 lists the CBSAs that,
under our proposal to adopt the revised OMB
[[Page 88414]]
statistical area delineations, will be subsumed by another CBSA.
[GRAPHIC] [TIFF OMITTED] TR07NO24.045
In other cases, if we adopt the new OMB delineations, some counties
will shift between existing and new CBSAs, changing the constituent
makeup of the CBSAs. In another type of change, some CBSAs have
counties that will split off to become part of, or to form entirely new
labor market areas. For example, the District of Columbia, DC, Charles
County, MD and Prince Georges County, MD will move from CBSA 47894
(Washington-Arlington-Alexandria, DC-VA-MD-WV) into CBSA 47764
(Washington, DC-Md). Calvert County, MD will move from CBSA 47894
(Washington-Arlington-Alexandria, DC-VA-MD-WV) into CBSA 30500
(Lexington Park, MD). The remaining counties that currently make up
47894 (Washington-Arlington-Alexandria, DC-VA-MD-WV) will move into
CBSA 11694 (Arlington-Alexandria-Reston, VA-WV). Finally, in some
cases, a CBSA will lose counties to another existing CBSA if we adopt
the new OMB delineations. For example, Grainger County, TN will move
from CBSA 34100 (Morristown, TN) into CBSA 28940 (Knoxville, TN). Table
18 lists the 73 urban counties that will move from one urban CBSA to a
new or modified urban CBSA if we adopt the revised OMB delineations.
[[Page 88415]]
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[[Page 88416]]
[GRAPHIC] [TIFF OMITTED] TR07NO24.047
BILLING CODE 4120-01-C
[[Page 88417]]
A summary of the general comments on our proposals to adopt the
revised delineations from OMB Bulletin No. 23-01 appears below:
Comment: Some commenters, including MedPAC, were generally
supportive of the proposals to adopt the revised delineations from OMB
Bulletin No. 23-01. A commenter expressed support for the proposal to
adopt the new OMB delineations as described in OMB Bulletin 23-01 for
the HH PPS wage index effective beginning in CY 2025. This commenter
agreed that using the most current OMB delineations would increase the
integrity of the HH PPS wage index by creating a more accurate
representation of geographic variations in wage levels. Another
commenter stated that until a new home health wage index can be
implemented, the commenter supports CMS' proposal to continue using
OMB's most recent statistical area delineations for the hospital wage
index.
Response: We thank the commenters for their support.
Comment: A commenter opposed what they describe as the automatic
adoption of the revised OMB delineations. This commenter stated that
adopting the new delineations by default is in opposition to both OMB
guidance and the Metropolitan Areas Protection and Standardization Act
of 2021 (MAPs Act). This commenter stated that CMS has not provided any
rationale or explanation for why relying on the updated CBSAs is
appropriate and that rather than simply adopting the OMB CBSAs by
default, CMS must make a fact-specific determination of those CBSAs'
suitability for Medicare payment purposes, including whether it would
be appropriate to use additional data to modify OMB's delineation to
ensure that such changes are appropriate for purposes of defining
regional labor markets for home health workers.
Response: We acknowledge the commenter's concerns about adopting
CBSA changes. We do not agree with the commenter's assertion that this
is ``by default'' or that CMS has not provided rationale for the
proposed adoption of the revised CBSA delineations for CY 2025. The
MAPS Act specifically states that ``this act limits the automatic
application of, and directs the Office of Management and Budget (OMB)
to provide information about, changes to the standards for designating
a core-based statistical area (CBSA) . . .'' We believe our proposed
rule meets the requirements of the MAPS Act, because we have not
automatically applied the revised CBSAs outlined in OMB Bulletin 23-01.
Rather, through notice and comment rulemaking, we proposed the adoption
of the revised CBSA delineations. Further, we stated our rationale for
adopting the revised CBSA delineations, in that we believe it is
important for the HH PPS to use, as soon as is reasonably possible, the
latest available labor market area delineations to maintain a more
accurate and up-to date payment system that reflects the reality of
population shifts and labor market conditions. We also stated that we
believe that using the most current delineations would increase the
integrity of the HH PPS wage index system by creating a more accurate
representation of geographic variations in wage levels. With respect to
the suggestion that CMS consider whether it would be appropriate to use
additional data to ensure that such changes are appropriate for
purposes of defining regional labor markets for home health workers, we
do not believe use of such additional analysis is necessary. Using the
latest available labor market area delineations based on the latest
available CBSA delineations established by OMB inherently reflects
current population and labor market conditions and as such, results in
a more accurate payment system.
Comment: A few commenters expressed concern with specific
redesignations in their areas. A commenter stated that the proposed
adoption of the latest OMB delineations for the home health wage index
will significantly impact several Florida regions and that high-cost
areas such as Miami-Fort Lauderdale-West Palm Beach, Tampa-St.
Petersburg-Clearwater, and Orlando-Kissimmee-Sanford are likely to
experience notable reductions in their wage index values. This
commenter recommended that CMS reconsider the proposed adoption of the
new delineations by accounting for the distinctive economic and
demographic factors influencing high-cost regions in Florida.
Several commenters opposed the delineation change for rural Puerto
Rico where there is now a hospital in rural Puerto Rico from which
hospital wage data can be derived. These commenters stated the payment
calculations to providers will ultimately be reduced by 20.64 percent
when using a wage index of 0.2520 vs 0.4047. The commenters stated that
providers are unable to operate at a 20 percent reduction, particularly
in the face of increasing costs and expressed concern that this
reduction will lead to adverse impacts for beneficiaries as the labor
market further shrinks and healthcare workers exit the Puerto Rico
market for other areas or industries.
A commenter opposed the impact of the adoption of the revised
delineations in Nassau, Suffolk, and Westchester Counties in New York
state. This commenter requested CMS consider the impact of the wage
index changes on Core-Based Statistical Areas (CBSAs) with increasing
labor costs and the impact of these reductions on hospice, home health,
and other home-and community-based providers in relation to
institutional care providers
Another commenter expressed concern about the impact of county
reclassifications on home health agencies serving Dukes and Nantucket
Counties in Massachusetts. The commenter stated that as a result of the
reclassification of Franklin County, the wage index for Dukes and
Nantucket counties has dropped by 10 percent in the last 2 years and
would drop an additional 10 percent over the next 2 years and that
Medicare beneficiaries on those island communities are already
experiencing limited access to home health services. The commenter
stated that the proposed 5 percent cut will exacerbate that access
problem and recommended CMS reverse the proposed 5 percent cut to the
wage index for Dukes and Nantucket Counties to preserve access to home
health services in those counties.
Response: We appreciate the concerns expressed by commenters
regarding specific impacts of implementing the revised designations.
While we understand these concerns, we believe that implementing the
revised OMB delineations will create more accurate representations of
labor market areas nationally and result in home health wage index
values being more representative of the actual costs of labor in a
given area. Although these comments only addressed the negative impact
on certain areas, it is important to note that there are many
geographic locations and home health providers that will experience
positive impacts upon implementation of the revised CBSA designations.
We acknowledge there are areas that will experience a decrease in their
wage index but believe that the permanent 5-percent cap policy provides
an adequate safeguard against any significant payment reductions in CY
2025 while improving the accuracy of the payment adjustment for
differences in area wage levels. Therefore, we believe that it is
appropriate to implement the new OMB delineations without further
delay.
Final Decision: We are finalizing our proposals to adopt the
revised OMB
[[Page 88418]]
delineations from OMB Bulletin No. 23-01.
f. Transition Period
In the past we have provided for transition periods when adopting
changes that have significant payment implications, particularly large
negative impacts, in order to mitigate the potential impacts of
proposed home health policies. For example, we have proposed and
finalized budget-neutral transition policies to help mitigate negative
impacts on HHAs following the adoption of the new CBSA delineations
based on the 2010 Decennial Census data in the CY 2015 HH PPS final
rule (79 FR 66032). Specifically, we implemented a 1-year 50/50 blended
wage to the new OMB delineations. We applied a blended wage index for 1
year (CY 2015) for all geographic areas that will consist of a 50/50
blend of the wage index values using OMB's old area delineations and
the wage index values using OMB's new area delineations. That is, for
each county, a blended wage index was calculated equal to 50 percent of
the CY 2015 wage index using the old labor market area delineation and
50 percent of the CY 2015 wage index using the new labor market area
delineation, which resulted in an average of the two values.
Additionally, in the CY 2021 HH PPS final rule (85 FR 70312), we
proposed and finalized a transition policy to apply a 5-percent cap on
any decrease in a geographic area's wage index value from the wage
index value from the prior CY. This transition allowed the effects of
our adoption of the revised CBSA delineations from OMB Bulletin 18-04
to be phased in over 2 years, where the estimated reduction in a
geographic area's wage index was capped at five percent in CY 2021
(that is, no cap was applied to the reduction in the wage index for the
second year (CY 2022)). We explained that we believed a 5-percent cap
on the overall decrease in a geographic area's wage index value will be
appropriate for CY 2021, as it provided predictability in payment
levels from CY 2020 to CY 2021 and additional transparency because it
was administratively simpler than our prior one-year 50/50 blended wage
index approach.
In the CY 2023 HH PPS final rule (87 FR 66851 through 66853), we
adopted a permanent 5-percent cap on wage index decreases beginning in
CY 2023 and each subsequent year. The policy applies a permanent 5-
percent cap on any decrease to a geographic area's wage index from its
wage index in the prior year, regardless of the circumstances causing
the decline, so that a geographic area's wage index will not be less
than 95 percent of its wage index calculated in the prior CY.
In the CY 2025 HH PPS proposed rule, we stated that the permanent
5-percent cap on wage index decreases would be sufficient to mitigate
any potential negative impact caused by adopting the revised OMB
delineations and that no further transition is necessary. Previously,
the 5-percent cap had been applied at the CBSA or statewide rural area
level, meaning that all the counties that make up the CBSA or rural
area received the 5-percent cap. However, for CY 2025, to mitigate any
potential negative impact caused by the adoption of the revised
delineations, we proposed that in addition to the 5-percent cap being
calculated for an entire CBSA or statewide rural, the cap would also be
calculated at the county level, so that individual counties moving to a
new delineation will not experience more than a five percent decrease
in wage index from the previous calendar year. Specifically, we
proposed for CY 2025, that the 5-percent cap will also be applied to
counties that would move from a CBSA or statewide rural area with a
higher wage index value into a new CBSA or rural area with a lower wage
index value, so that the county's CY 2025 wage index would not be less
than 95 percent of the county's CY 2024 wage index value under the old
delineation despite moving into a new delineation with a lower wage
index.
Due to the way that we proposed to calculate the 5-percent cap for
counties that experience an OMB designation change, some CBSAs and
statewide rural areas could have more than one wage index value because
of the potential for their constituent counties to have different wage
index values after the redesignation. Specifically, some counties that
change OMB designations will have a wage index value that is different
than the wage index value assigned to the other constituent counties
that make up the CBSA or statewide rural area that they are moving into
because of the application of the 5-percent cap. However, for home
health claims processing, each CBSA or statewide rural area can have
only one wage index value assigned to that CBSA or statewide rural
area.
Therefore, HHAs that serve beneficiaries in a county that will
receive the cap will need to use a number other than the CBSA or
statewide rural area number to identify the county's appropriate wage
index value on home health claims in CY 2025. We proposed that
beginning in CY 2025, counties that have a different wage index value
than the CBSA or rural area into which they are designated after the
application of the 5-percent cap will use a wage index transition code.
These special codes are five digits in length and begin with ``50'' and
the remaining digits are unique for that code. We are using ``Xs'' to
show how the transition codes could be labeled. The 50XXX \11\ wage
index transition codes will be used only in specific counties; counties
located in CBSAs and rural areas that do not correspond to a different
transition wage index value will still use the CBSA number. For
example, FIPS county 13171 Lamar County, GA is currently part of CBSA
12060 Atlanta-Sandy Springs-Alpharetta. However, for CY 2025 we
proposed that Lamar County will be redesignated into the Rural Georgia
Code 99911. Because the wage index value of rural Georgia is more than
a 5-percent decrease from the wage index value that Lamar County
previously received under CBSA 12060, the CY 2025 wage index for Lamar
County will be capped at 95 percent of the CY 2024 wage index value for
CBSA 12060. Additionally, because rural Georgia can only have one wage
index value assigned to code 99911, in order for Lamar County to
receive the capped wage index for CY 2025, a transition code will be
used on a home health claim instead of rural Georgia code 99911.
---------------------------------------------------------------------------
\11\ The remaining 3 characters of the code to be determined if
finalized.
---------------------------------------------------------------------------
We also proposed that the 5-percent cap would apply to a county
that corresponds to a different wage index value than the wage index
value in the CBSA or rural area in which they are designated due to a
delineation change until the county's new wage index is more than 95
percent of the wage index from the previous calendar year. Therefore,
in order to capture the correct wage index value, an HHA will continue
to use the assigned 50XXX transition code for the county until the
county's wage index value calculated for that calendar year using the
new OMB delineations is not less than 95 percent of the county's capped
wage index from the previous calendar year. Thus, in the example
mentioned earlier, claims for Lamar County will use the assigned
transition code until the wage index in its revised designation of
Rural Georgia is equal to or more than 95 percent of its wage index
value from the previous calendar year.
The final counties that will require a transition code and the
corresponding 50XXX codes are shown in table 19 and will also be shown
in the CY 2025 HH
[[Page 88419]]
PPS wage index file. Table 19 includes a list of counties that have
changed designation and must use a transition code beginning in CY
2025. This list is comprised of counties that are redesignated into a
new CBSA or rural area and will receive the 5-percent cap on wage index
decreases. These counties must use a transition code because the wage
index for that county is higher than all other constituent counties
that make up the CBSA or rural area (like the earlier example for Lamar
County, GA). Additionally, the list also includes counties that move
into a new CBSA or rural area and have a different wage index value
because the constituent counties that make up the CBSA or rural receive
the 5-percent cap for CY 2025 while the county that moves into the CBSA
or rural area does not. For example, rural area 99922 rural
Massachusetts is comprised of FIPS code 25007 Dukes County, FIPS code
25019 Nantucket County and the redesignated FIPS code 25011 Franklin
County. Dukes County and Nantucket County were part of rural area 99922
Massachusetts for CY 2024 and will receive the 5-percent cap because
the CY 2025 wage index for rural area 99922 is more than a 5-percent
decrease from the CY 2024 wage index for rural area 99922. However,
Franklin County was included in CBSA 44140 Springfield, MA, in FY 2024
and the uncapped CY 2025 wage index for rural area 99922 is higher than
the CY 2024 wage index for CBSA 44140. In this example, Franklin
County, MA, would receive the uncapped wage index for rural Area 99922
while Dukes and Nantucket counties receive the 5-percent capped wage
index. Therefore, HHAs that serve beneficiaries in Franklin County, MA,
must use the transition code 50012 on home health claims instead of
rural area 99922 Rural Massachusetts.
BILLING CODE 4120-01-P
[[Page 88420]]
[GRAPHIC] [TIFF OMITTED] TR07NO24.048
BILLING CODE 4120-01-C
[[Page 88421]]
The following is a summary of the comments on the proposal to use
the permanent 5-percent cap applied at the county level as a
transition.
Comment: A few commenters were supportive of the use of the
permanent 5-percent cap to mitigate any adverse effects of adopting the
revised OMB delineations. MedPAC stated that the Commission supports
having a policy to cap and phase in the wage index reductions that a
provider can experience in a given year. Another commenter thanked CMS
for implementing the 5-percent cap on wage index decreases as a policy
to combat ongoing wage index inequities.
Response: We appreciate the commenters support.
Comment: A few commenters recommended other changes to the
finalized 5-percent cap policy. MedPAC recommended that the cap should
be applied to both increases and decreases in a given year. Several
commenters recommended that the cap be lowered to two percent, while a
commenter suggested the cap should be no more than three percent. A
commenter requested that CMS institute a one-time zero wage index
adjustment in all CBSAs where there is a negative adjustment, while
another commenter recommended that the 5-percent cap should be
implemented in a non-budget neutral manner.
A commenter stated that the 5-percent cap is helpful as a general
measure to stabilize wage index values from year to year, but that does
not negate the need to implement a transition period specific to wage
index changes resulting from revised CBSA delineations. This commenter
recommended a three-year transition period to allow for a wage index
transition consistent with prior updates to the CBSA categorization due
to OMB updates.
Response: We appreciate commenters recommendations for changes to
the finalized cap policy. However, in the CY 2025 HH PPS proposed rule,
we did not propose to make changes to the finalized 5-percent cap
policy outside of the proposal to apply the 5-percent cap at the county
level. Therefore, these comments are outside the scope of the proposed
rule. Any changes to the finalized cap policy beyond the proposal to
apply the cap at the county level would need to go through notice and
comment rulemaking. We continue to believe that a 5-percent cap would
most effectively mitigate any significant decreases in a geographic
area's wage index for a calendar year, while still balancing the
importance of ensuring that area wage index values accurately reflect
relative differences in area wage levels. Furthermore, we believe that
the 5-percent cap on wage index decreases provides a degree of
predictability in payment changes for providers and allows providers
time to adjust to any significant decreases they may face year to year.
Therefore, we do not believe that any transition is appropriate at this
time.
Comment: A commenter expressed support for the proposal to apply
the 5-percent cap at the county level. This commenter stated that they
strongly believe that the wage index for any county or service area
should not decrease by more than five percent in any given year and
expressed support for the proposal that each Transitional CBSA, in
which the included county(s) would have any reduction to their wage
index limited to five percent from the previous year, should remain
active until such time that the county(s) included would be able to be
included in their new CBSA/Service Area when the reduction to their
Wage Index would be five percent or less.
This commenter also recommended that CMS provide a crosswalk in CSV
or Excel format of any/all changes any year in which there are changes
such as these, stating that the crosswalk should include the Social
Security Administration (SSA) Code, FIPS Code, CBSA Code (and
transition code where applicable), and the Wage Index (and transition
wage index where applicable) for every unique County or Service Area
covered under the Medicare program. Another commenter requested that
CMS carefully plan communication to impacted facilities so that they
are clear regarding what number to use on home health claims.
Response: We thank the commenters for their support. We acknowledge
the importance of providing an accurate crosswalk for the CY 2025 wage
index that highlights the changes due to the revised OMB delineations,
specifically in counties that will require a transition code.
Therefore, we are listing the counties that will require a transition
code in CY 2025 in table 19 and we are also including this table in the
CY 2025 wage index file. The CY 2025 wage index file provides a
crosswalk between the current OMB delineations and the final revised
OMB delineations that will be in effect in CY 2025. This file shows
each state and county and its corresponding final wage index along with
the previous CBSA number, the final CBSA number or alternate
identification number, and the final CBSA name. The list of counties
that will require a transition code beginning in CY 2025 will also be
included in the CY 2025 Home Health Rate Update Change Request that can
be located at https://www.cms.gov/medicare/regulations-guidance/transmittals.
Final Decision: We are finalizing our proposal to adopt the revised
OMB delineations from OMB Bulletin 23-01, and will also apply the
permanent 5-percent cap on wage index decreases at the county level
with the use of a transition code, so that counties impacted by the
revised designations will receive a 5-percent cap on any decrease in a
geographic area's wage index value from the wage index value from the
prior calendar year for CY 2025. We are also finalizing our proposal
that, beginning in CY 2025, counties that have a different wage index
value than the CBSA or rural area into which they are designated due to
the application of the 5-percent cap (including redesignated counties
that will receive the 5-percent cap and redesignated counties that move
into a CBSA or rural area where all other constituent counties receive
the 5-percent cap) will use a wage index transition code. These special
codes are five digits in length and begin with ``50.'' The 50XXX wage
index transition codes will be used only in specific counties; counties
located in CBSAs and rural areas that do not correspond to a different
transition wage index value will still use the CBSA number. Finally, we
are finalizing the policy that the 5-percent cap will apply to a county
that corresponds to a different wage index value than the wage index
value in the CBSA or rural area in which they are designated due to a
delineation change until the county's new wage index is more than 95
percent of the wage index from the previous calendar year. In order to
capture the correct wage index value, the county will continue to use
the assigned 50XXX transition code until the county's wage index value
calculated for that fiscal year using the new OMB delineations is not
less than 95 percent of the county's capped wage index from the
previous calendar year.
The final wage index file applicable to CY 2025 provides a
crosswalk between the CY 2025 wage index using the current OMB
delineations and the CY 2025 wage index using the revised OMB
delineations that will be in effect in CY 2025. This file shows each
state and county and its corresponding final wage index along with the
previous CBSA number, the final CBSA number or transition code, and the
finalized CBSA name. The final HH PPS wage index file applicable for CY
2025 (January 1, 2025, through December 31, 2025) is available on the
CMS website at https://www.cms.gov/medicare/enrollment-
[[Page 88422]]
renewal/providers-suppliers/home-health-agency-center.
3. Final CY 2025 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 that 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. Since the inception of the HH PPS, we have used inpatient
hospital wage data in developing a wage index to be applied to home
health payments. We proposed to continue this practice for CY 2025, as
it is our belief that, in the absence of home health-specific wage data
that accounts for area differences, using inpatient hospital wage data,
including any changes made by the Office of Management and Budget (OMB)
to Metropolitan Statistical Area (MSA) definitions, is appropriate and
reasonable for the HH PPS. The appropriate wage index value is applied
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).
For CY 2025, we proposed to base the HH PPS wage index on the FY
2025 hospital pre-floor, pre-reclassified wage index for hospital cost
reporting periods beginning on or after October 1, 2020, and before
October 1, 2021 (FY 2021 cost report data), with the revised OMB
delineations. The final CY 2025 HH PPS wage index will not take into
account any geographic reclassification of hospitals, including those
in accordance with section 1886(d)(8)(B) or 1886(d)(10) of the Act but
will include the 5-percent cap on wage index decreases.
There exist some geographic areas where there are no hospitals, and
thus, no hospital wage data on which to base the calculation of the HH
PPS wage index. To address those geographic areas in which there are no
inpatient hospitals, and thus, no hospital wage data on which to base
the calculation of the CY 2025 HH PPS wage index, we proposed to
continue to use the same methodology discussed in the CY 2007 HH PPS
final rule (71 FR 65884) to address those geographic areas in which
there are no inpatient hospitals.
For urban areas without inpatient 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. For CY 2025, the only urban area
without inpatient hospital wage data is Hinesville, GA (CBSA 25980).
Using the average wage index of all urban areas in Georgia as a proxy,
we proposed the CY 2025 wage index value for Hinesville, GA, would be
0.8608. With updated data, the final wage index value for Hinesville,
GA, will be 0.8824.
For rural areas that do not have inpatient hospitals, we proposed
to use the average wage index from all contiguous Core Based
Statistical Areas (CBSAs) as a reasonable proxy. The term
``contiguous'' means sharing a border (72 FR 49859). For CY 2025, as
part of our proposal to adopt the revised OMB delineations discussed
further in section III.E.2. of the CY 2025 HH PPS proposed rule, we
proposed that rural North Dakota would now become a rural area without
a hospital from which hospital wage data can be derived. Therefore, in
order to calculate the wage index for rural area 99935, North Dakota,
we proposed to use as a proxy, the average pre-floor, pre-reclassified
hospital wage data from the contiguous CBSAs: CBSA 13900-Bismark, ND,
CBSA 22020-Fargo, ND-MN, CBSA 24220-Grand Forks, ND-MN, and CBSA 33500,
Minot, ND, which resulted in a proposed CY 2025 HH PPS wage index of
0.8334 for rural North Dakota. For this final rule using updated data,
the final wage index value for rural North Dakota will be 0.8503 which
is the average pre-floor, pre-reclassified wage index values after the
application of the 5-percent cap of the four contiguous counties
outlined in table 20.
[GRAPHIC] [TIFF OMITTED] TR07NO24.049
Previously, the only rural area without a hospital from which
hospital wage data could be derived was in Puerto Rico. However, for
rural Puerto Rico, we did not apply this methodology due to the
distinct economic circumstances that exist there (for example, due to
the proximity of one another of almost all of Puerto Rico's various
urban and non-urban areas, this methodology will produce a wage index
for rural Puerto Rico that is higher than that in half of its urban
areas). Instead, we used the most recent wage index previously
available for that area, which was 0.4047. For CY 2025, due to our
proposal to adopt the revised OMB delineations discussed previously,
there is now a hospital in rural Puerto Rico from which hospital wage
data can be derived. Therefore, we proposed that the wage index for
rural Puerto Rico would now be based on the hospital wage data for the
area instead of the previously available wage index of 0.4047. The
unadjusted CY 2025 proposed wage index for rural Puerto Rico was
0.2520. However, because 0.2520 is more than a 5 percent decline in the
CY 2024 wage index, the 5-percent cap will be applied. We proposed that
the CY 2025 5-percent cap adjusted wage index for rural Puerto Rico
would be set equal to 95 percent of the CY 2024 wage index, which
resulted in a proposed wage index value of 0.3845. For this final rule,
using updated data, the final unadjusted wage index value for rural
Puerto Rico is 0.2510. However, because 0.2510 is more than a 5 percent
decline in the CY 2024 wage index, the 5-percent cap will be applied.
The final CY 2025 5-percent cap adjusted wage index for rural Puerto
Rico will be set equal to 95 percent of
[[Page 88423]]
the CY 2024 wage index, which results in a final wage index value of
0.3845.
Finally, due to the proposal to adopt the revised OMB delineations,
Delaware, which was previously an all-urban state, will now have one
rural area with a hospital from which hospital wage data can be
derived. As such, we proposed that the CY 2025 wage index for rural
Delaware would be 1.0429. The final wage index for rural Delaware will
be 1.0385.
The following is a summary of the comments we received on the CY
2025 HH PPS wage index and our responses:
Comment: Most commenters expressed concern with the updates to the
home health wage index. Several commenters were particularly opposed to
the wage index updates in rural areas. A commenter stated that
utilizing hospital wage data to determine the average labor costs for
rural home health agencies does not adequately reflect the costs of
recruiting and retaining employees in rural settings. Another 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 in serving rural areas. This commenter
recommended that the hospital wage index be adjusted based on
population density.
Response: We appreciate commenters' concerns regarding the wage
index values assigned to rural areas. As discussed in the CY 2022 HH
PPS final rule (86 FR 62285), we do not believe that a population
density adjustment is appropriate at this time. Rural HHAs continually
cite the added cost of traveling from one patient to the next. However,
urban HHAs cite the added costs associated with needed security
measures and traffic congestion. The home health wage index values in
rural areas are not necessarily lower than the home health wage index
values in urban areas. The home health wage index reflects the wages
that inpatient hospitals pay in their local geographic areas. We
continue to believe that in the absence of home health specific data,
the pre-floor, pre-reclassified hospital wage index is appropriate for
the geographic adjustment of home health claims.
Comment: Many commenters recommended far-reaching revisions and
reforms to the HH PPS wage index methodology. MedPAC recommended
repealing and replacing the existing HH PPS wage index and phasing in
new wage index systems for hospitals and other types of providers that
uses all-employer, occupation-level wage data with different occupation
weights for the wage index of each provider type; reflects local area
level differences in wages between and within metropolitan statistical
areas and statewide rural areas; and smooths wage index differences
across adjacent local areas. Other commenters recommended discontinuing
the use of the pre-floor, pre-reclassified hospital wage index as the
basis for the HH PPS wage index and the creation of a home health
specific wage index. Several commenters recommended allowing hospital
provisions such as the area wage index policy that addresses the
disparity in payments between rural and urban acute care hospitals,
geographic reclassification, and an outmigration adjustment in the HH
PPS wage index. Other commenters recommended that CMS institute a floor
policy in the HH PPS. A few commenters recommended that CMS institute a
rural floor in the HH PPS like the rural floor provided to hospitals. A
few commenters recommended a 0.8000 floor in the HH PPS wage index
similar to the hospice floor, while other commenters located in Puerto
Rico recommended a floor of 0.6000 in the HH PPS.
Response: We thank the commenters for their recommendations.
However, any updates to the home health wage index outside the proposed
policies are outside the scope of the proposed rule. Changes to the HH
PPS wage index would need to go through notice and comment rulemaking.
Furthermore, we continue to believe that the regulations and statutes
that govern the HH PPS differ from the hospital and hospice regulations
and statutes, such that there would be differences between how these
payment systems apply wage index policies including geographic
reclassification, outmigration or the rural floor. Section 4410(a) of
the Balanced Budget Act of 1997 provides that the area wage index
applicable to any hospital that is located in an urban area of a state
may not be less than the area wage index applicable to hospitals
located in rural areas in that State. This rural floor provision is
specific to hospitals. The reclassification provision at section
1886(d)(10)(C)(i) of the Act states that the Medicare Geographic
Classification Review Board shall consider the application of any
subsection (d) hospital requesting the Secretary change the hospital's
geographic classification for purposes of payment under the IPPS. This
reclassification provision is only applicable to hospitals as defined
in section 1886(d) of the Act. In addition, we do not believe that
using hospital reclassification data would be appropriate as these data
are specific to the requesting hospitals.
Additionally, the application of the hospice floor is specific to
hospices and does not apply to HHAs. The hospice floor was developed
through a negotiated rulemaking advisory committee, under the process
established by the Negotiated Rulemaking Act of 1990 (Pub. L. 101-648).
Committee members included representatives of national hospice
associations; rural, urban, large, and small hospices; multi-site
hospices; consumer groups; and a government representative. The
Committee reached consensus on a methodology that resulted in the
hospice wage index. We continue to believe the use of the pre-floor and
pre- reclassified hospital wage index results in the most appropriate
adjustment to the labor portion of the home health payment rates.
Final decision: After consideration of public comments, we are
finalizing our proposal to use the FY 2025 pre-floor, pre-reclassified
hospital wage index as the basis for the CY 2025 HH PPS wage index. The
complete final CY 2025 wage index is available on the CMS website at
https://www.cms.gov/Center/Provider-Type/Home-Health-Agency-HHA-Center.
4. CY 2025 Home Health Payment Update
a. Background
The 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 HH PPS was a national, standardized 60-day episode payment
rate. As finalized in the CY 2019 HH PPS final rule with comment period
(83 FR 56406), and as described in the CY 2020 HH PPS final rule with
comment period (84 FR 60478), the unit of home health payment changed
from a 60-day episode to a 30-day period effective for those 30-day
periods beginning on or after January 1, 2020.
As set forth in Sec. 484.220, we adjust the national, standardized
prospective payment rates by a case-mix relative weight and a wage
index value based on the site of service for the beneficiary. To
provide appropriate adjustments to the proportion of the payment amount
under the HH PPS to account for area wage differences, we apply the
appropriate wage index value to the labor portion of the HH PPS rates.
In the CY 2024 HH PPS final rule (88 FR 77676), we finalized the
rebasing of the home health market basket to reflect 2021 Medicare cost
report data. We also finalized that for CY 2024 and
[[Page 88424]]
subsequent years the labor-related share will be 74.9 percent and the
non-labor-related share will be 25.1 percent. The following are the
steps we take to compute the case-mix and wage-adjusted 30-day period
payment amount for CY 2025:
Multiply the national, standardized 30-day period rate by
the patient's applicable case-mix weight.
Divide the case-mix adjusted amount into a labor (74.9
percent) and a non-labor portion (25.1 percent).
Multiply the labor portion by the applicable wage index
based on the site of service of the beneficiary.
Add the wage-adjusted portion to the non-labor portion,
yielding the case-mix and wage adjusted 30-day period payment amount,
subject to any additional applicable adjustments.
We provide annual updates of the HH PPS rate in accordance with
section 1895(b)(3)(B) of the Act. Section 484.225 sets forth the
specific annual percentage update methodology. In accordance with
section 1895(b)(3)(B)(v) of the Act and Sec. 484.225(i), for an HHA
that does not submit home health quality data, as specified by the
Secretary, the unadjusted national prospective 30-day period rate is
equal to the rate for the previous calendar year increased by the
applicable home health payment update percentage, 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.
The final claim that the HHA submits for payment determines the
total payment amount for the period and whether we make an applicable
adjustment to the 30-day case-mix and wage-adjusted payment amount. The
end date of the 30-day period, as reported on the claim, determines
which calendar year rates Medicare will use to pay the claim.
We may adjust a 30-day case-mix and wage-adjusted payment based on
the information submitted on the claim to reflect the following:
A LUPA is provided on a per-visit basis as set forth in
Sec. Sec. 484.205(d)(1) and 484.230.
A partial payment adjustment as set forth in Sec. Sec.
484.205(d)(2) and 484.235.
An outlier payment as set forth in Sec. Sec.
484.205(d)(3) and 484.240.
b. CY 2025 National, Standardized 30-Day Period Payment Amount
Section 1895(b)(3)(A)(i) of the Act requires that the standard
prospective payment rate and other applicable amounts be standardized
in a manner that eliminates the effects of variations in relative case-
mix and area wage adjustments among different home health agencies in a
budget-neutral manner. To determine the CY 2025 national, standardized
30-day period payment rate, we will continue our practice of using the
most recent, complete utilization data at the time of rulemaking; that
is, we are using CY 2023 claims data for CY 2025 payment rate updates.
We apply a permanent adjustment factor, a case-mix weights
recalibration budget neutrality factor, a wage index budget neutrality
factor, and the home health payment update percentage to update the CY
2025 payment rate. As discussed in section II.C.1. of this final rule,
we are finalizing the implementation of a permanent adjustment of -
1.975 percent to ensure that payments under the PDGM do not exceed what
payments would have been under the 153-group payment system as required
by law. The final permanent adjustment factor is 0.98025. As discussed
previously, to ensure the changes to the PDGM case-mix weights are
implemented in a budget neutral manner, we apply a case-mix weight
budget neutrality factor to the CY 2025 national, standardized 30-day
period payment rate. The final case-mix weight budget neutrality factor
for CY 2025 is 1.0039.
Additionally, we apply a wage index budget neutrality factor to
ensure that wage index updates and revisions are implemented in a
budget neutral manner. To calculate the wage index budget neutrality
factor, we first determine the payment rate needed for non-LUPA 30-day
periods using the CY 2025 wage index (with the final revised
delineations and the 5-percent cap) so those total payments are
equivalent to the total payments for non-LUPA 30-day periods using the
CY 2024 wage index (with the old delineations and the 5-percent cap)
and the CY 2024 national standardized 30-day period payment rate
adjusted by the case-mix weights recalibration neutrality factor. Then,
by dividing the payment rate for non-LUPA 30-day periods using the CY
2025 wage index (with the final revised delineations and a 5-percent
cap on wage index decreases) by the payment rate for non-LUPA 30-day
periods using the CY 2024 wage index (with the old delineations and a
5-percent cap on wage index decreases), we obtain a wage index budget
neutrality factor of 0.9988. We then apply the wage index budget
neutrality factor of 0.9988 to the 30-day period payment rate.
Next, we update the 30-day period payment rate by the final CY 2025
home health payment update percentage of 2.7 percent. The CY 2025
national standardized 30-day period payment rate is calculated in table
21.
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The CY 2025 national standardized 30-day period payment rate for an
HHA that does not submit the required quality data is updated by the
final CY 2025 home health payment update percentage of 0.7 percent (2.7
percent minus 2 percentage points) and is shown in table 22.
[[Page 88425]]
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c. CY 2025 National Per-Visit Rates for 30-Day Periods of Care
The national per-visit rates are used to pay LUPAs and are also
used to compute imputed costs in outlier calculations. The per-visit
rates are paid by type of visit or home health discipline. 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).
Speech-language pathology (SLP).
To calculate the final CY 2025 national per-visit rates, we started
with the CY 2024 national per-visit rates. Then we applied a wage index
budget neutrality factor to ensure budget neutrality for LUPA per-visit
payments. We calculated the wage index budget neutrality factor by
simulating total payments for LUPA 30-day periods of care using the CY
2025 wage index with the new delineations and the 5-percent cap on wage
index decreases and comparing it to simulated total payments for LUPA
30-day periods of care using the CY 2024 wage index with the old
delineations and the 5-percent cap. By dividing the total payments for
LUPA 30-day periods of care using the CY 2025 wage index by the total
payments for LUPA 30-day periods of care using the CY 2024 wage index,
we obtained a wage index budget neutrality factor of 0.9989. As a
reminder, the wage index budget neutrality factors for the national,
standardized 30-day period amount and the national LUPA per-visit rates
are not equal because they are calculated differently. The wage index
budget neutrality factor for the LUPA per-visit payments is calculated
by simulating total payments for LUPA 30-day periods while the 30-day
period budget neutrality factor is calculated by simulating payments
for non- LUPA 30-day periods.
The LUPA per-visit rates are not calculated using case-mix weights.
Therefore, no case-mix weight budget neutrality factor is needed to
ensure budget neutrality for LUPA payments. Additionally, we are not
applying the permanent adjustment to the per visit payment rates but
only to the case-mix adjusted 30-day payment rate. Lastly, the per-
visit rates for each discipline are updated by the final CY 2025 home
health payment update percentage of 2.7 percent. The national per-visit
rates are adjusted by the wage index based on the site of service of
the beneficiary. The per-visit payments for LUPAs are separate from the
LUPA add-on payment amount, which is paid for periods that occur as the
only period or initial period in a sequence of adjacent periods. The CY
2025 national per-visit rates for HHAs that submit the required quality
data are updated by the final CY 2025 home health payment update
percentage of 2.7 percent and are shown in table 23.
[GRAPHIC] [TIFF OMITTED] TR07NO24.052
The CY 2025 per-visit payment rates for HHAs that do not submit the
required quality data are updated by the final CY 2025 home health
payment update percentage of 2.7 percent minus 2 percentage points and
are shown in table 24.
[[Page 88426]]
[GRAPHIC] [TIFF OMITTED] TR07NO24.053
We did not receive any comments on the CY 2025 30-day home health
payment rates or the per-visit payment rates.
Final Decision: We are finalizing the updates to the CY 2025
national, standardized 30-day period payment rates and the CY 2025
national per-visit payment amounts as proposed, using the updated
market basket amount.
d. LUPA Add-On Factors
As outlined in the CY 2025 HH PPS proposed rule, prior to the
implementation of the 30-day unit of payment, LUPA episodes were
eligible for a LUPA add-on payment if the episode of care was the first
or only episode in a sequence of adjacent episodes. As described in the
CY 2008 HH PPS final rule, the average visit lengths in these initial
LUPAs are 16 to 18 percent higher than the average visit lengths in
initial non-LUPA episodes (72 FR 49848). LUPA episodes that occur as
the only episode or as an initial episode in a sequence of adjacent
episodes are adjusted by applying an additional amount to the LUPA
payment before adjusting for area wage differences.
In the CY 2014 HH PPS final rule (78 FR 72305), we changed the
methodology for calculating the LUPA add-on amount, whereby we
finalized the approach of multiplying the per-visit payment amount for
the first skilled nursing (SN), physical therapy (PT), or speech
language pathology (SLP) visit in LUPA episodes that occur as the only
episode or an initial episode in a sequence of adjacent episodes by 1 +
the proportional increase in minutes for an initial visit over non-
initial visits. Specifically, we updated the analysis using 100 percent
of LUPA episodes and a 20 percent sample of non-LUPA first episodes
from CY 2012 claims data. At that time, we finalized add on factors:
1.8451 for SN; 1.6700 for PT; and 1.6266 for SLP. In the CY 2019 HH PPS
final rule with comment period (83 FR 56440), in addition to finalizing
a 30-day unit of payment, we finalized our policy of continuing to
multiply the per-visit payment amount for the first SN, PT, or SLP
visit in LUPA periods that occur as the only period of care or the
initial 30-day period of care in a sequence of adjacent 30-day periods
of care by the appropriate add-on factor (using the already established
LUPA add-on factors of 1.8451 for SN, 1.6700 for PT, and 1.6266 for
SLP) to determine the LUPA add-on payment amount for 30-day periods of
care under the PDGM.
In an effort to enhance the accuracy and relevance of LUPA add-on
factors to reflect current healthcare practices and costs, we proposed
updates to the LUPA add-on factors for PT, SN, and SLP, which have not
been revised since the CY 2014 HH PPS final rule, during which CY 2012
data was used. We proposed to use the same methodology (as specified in
the CY 2025 HH PPS proposed rule) used to establish the LUPA add-on
amount for CY 2014, using updated claims data.
Specifically, we proposed to update the LUPA add-on factors by
using 100 percent of LUPA periods and a 100 percent sample of non-LUPA
first periods from CY 2023 claims data. In the CY 2025 HH PPS proposed
rule (89 FR 55377), using the CY 2023 data available at that time, the
proposed updates to the factors were 1.7227 for SN; 1.6247 for PT; and
1.6703 for SLP. We stated that the proposed LUPA add-on factors will be
updated based on more complete CY 2023 claims data in the final rule.
The updated analysis (as of September 11, 2024) demonstrates that the
average excess of minutes for the first visit in LUPA periods that were
the only period or an initial LUPA in a sequence of adjacent periods
are 29.91 minutes for the first visit if SN, 28.08 minutes for the
first visit if PT, and 31.57 minutes for the first visit if SLP. The
average minutes for all non-first visits in non-LUPA episodes are 41.54
minutes for SN, 45.11 minutes for PT, and 47.15 minutes for SLP. To
determine the LUPA add-on factors for each discipline in relation to
the final LUPA add-on factor updates, we calculate the ratio of the
average excess minutes for the first visits in LUPA claims to the
average minutes for all non-first visits in non-LUPA claims. We then
add one to these ratios to obtain the final add on factors: 1.7200 for
SN; 1.6225 for PT; and 1.6696 for SLP. We solicited comments on the
proposals to update the LUPA factors using the CY 2014 methodology and
the re-priced LUPA payment amounts. A summary of these comments and our
responses are as follows:
Comment: All commenters expressed support for updates to the LUPA
add-on factors for skilled nursing, physical therapy and speech
language pathology using CY 2023 utilization data using the CY 2014 HH
PPS methodology. Specifically, commenters expressed appreciation that
CMS still recognizes LUPA per visit payments.
Response: We thank the commenters for their support.
Comment: A commenter expressed support for CMS' efforts to adjust
the LUPA add-on factor but noted that the adjustments remain minimal
and are not
[[Page 88427]]
adequately aligned with inflationary trends.
Response: We thank the commenter for their comment. The LUPA add-on
factors were adjusted in a budget neutral manner, as statutorily
required in section 1895(b)(3)(A)(i) of the Act, so that aggregate
payments do not increase or decrease.
Final Decision: We are finalizing the proposal to update the SN,
PT, and SLP LUPA add-on factors. The final LUPA add-on factors are
1.7200 for skilled nursing, 1.6225 for physical therapy, and 1.6696 for
speech-language pathology.
e. Occupational Therapy LUPA Add-On Factor
As outlined in the CY 2025 HH PPS proposed rule, in order to
implement Division CC, section 115, of the Consolidation Appropriations
Act (CAA), 2021, CMS finalized changes to the regulations at Sec.
484.55(a)(2) and (b)(3) that allowed occupational therapists to conduct
initial and comprehensive assessments for all Medicare beneficiaries
under the home health benefit when the plan of care does not initially
include skilled nursing care, but included OT, as well as either PT or
SLP (86 FR 62351). This change necessitated the establishment of a LUPA
add-on factor for calculating the LUPA add-on payment amount for the
first skilled OT visit in LUPA periods that occurs as the only period
of care or the initial 30-day period of care in a sequence of adjacent
30-day periods of care. However, at the time of the implementation, as
we stated in the CY 2022 HH PPS final rule (86 FR 62289), there was not
sufficient data regarding the average excess of minutes for the first
visit in LUPA periods when the initial and comprehensive assessments
are conducted by occupational therapists. Therefore, we finalized a
policy using the PT LUPA add-on factor as a proxy. We also stated in
the CY 2022 final rule that we will use the PT LUPA add-on factor as a
proxy until we have CY 2022 data to establish a more accurate OT add-on
factor for the LUPA add-on payment amounts (86 FR 62289). Ultimately,
we refrained from using CY 2022 data (and instead utilized the PT LUPA
add-on factor as a proxy for the OT LUPA add-on factor), as we marked
the first year that occupational therapists were permitted to conduct
the initial assessment. Therefore, we wanted to extend our analysis to
ensure we had sufficient data to reflect OT time spent conducting
initial assessments to establish a discrete OT LUPA add-on factor (86
FR 62240). Accordingly, we continued analyzing claims data and have
opted to utilize CY 2023 data to make the proposal.
With sufficient recent claims data available, and to establish
equitable compensation for all home health services, CMS proposed to
establish a definitive OT-specific LUPA add-on factor and discontinue
the temporary use of the PT LUPA add-on factor as a proxy. For the
proposal, we used the same methodology used to establish the LUPA add-
on amount for CY 2014, as also described previously for the SN, PT and
SLP add-on factors. Specifically, we updated the analysis using 100
percent of LUPA periods and a 100 percent sample of non-LUPA first
periods from CY 2023 claims data. The originally proposed analysis
showed that the average excess of minutes for the first OT visit in
LUPA periods that were the only period or an initial LUPA in a sequence
of adjacent periods as 33.40 minutes for the first visit and the
average number of minutes for all non-first visits in non-LUPA periods
as 45.97 minutes for OT. However, the proposal was made using the most
current and complete data available at the time of rulemaking. We
stated that we believe that LUPA add-on factors will be updated based
on more complete CY 2023 claims data in the final rule. In doing so,
the updated analysis (as of September 11, 2024) shows that the average
excess of minutes for the first OT visit in LUPA periods that were the
only period or an initial LUPA in a sequence of adjacent periods is
33.28 minutes for the first visit. The average number of minutes for
all non-first visits in non-LUPA periods is 45.98 minutes for OT.
To determine the LUPA add-on factors for OT to adequately adjust
LUPA payments to account for the excess minutes during the first visit
in a LUPA period, we proposed to calculate the ratio of the average
excess minutes for the first visits in LUPA claims to the average
minutes for all non-first visits in non-LUPA claims. We proposed to
then add one to this ratio to obtain the proposed add on factor: 1.7238
for OT.
The following table 25 shows, for all disciplines, the average
excess minutes for the first visit in LUPA periods, the average minutes
for all non-first visits in non-LUPA episodes, as well as the current
LUPA add-on factors, the final LUPA add-on factors (using updated CY
2023 claims data), and the percent change between the current and the
final LUPA add-on factors.
[GRAPHIC] [TIFF OMITTED] TR07NO24.054
We solicited comments on the proposed establishment of a definitive
OT LUPA add-on factor, use of CY 2023 data to determine the OT LUPA
add-on factor, as well as the proposed methodology to determine this OT
LUPA add-on factor. A summary of these comments and our responses are
as follows:
Comment: All commenters expressed support for establishment of the
definitive LUPA add-on factor for occupational therapy using CY 2023
utilization data and the CY 2014 HH PPS methodology.
Response: We thank the commenters for their support.
Comment: A commenter expressed appreciation for CMS' recognition of
the unique needs of OT services through the
[[Page 88428]]
establishment of a distinct OT LUPA add-on factor. However, they voiced
concern that the current add-on factor does not fully address the
challenges faced by occupational therapists, particularly in light of
payment rate reductions. As such, the commenter recommended that CMS
continuously evaluate and adjust the OT add-on factor.
Response: We thank the commenter for their comment. However, the
payment rate adjustment was made to the 30-day base payment rate and
the OT LUPA add-on factor was established in a budget neutral manner,
as statutorily required in section 1895(b)(3)(A)(i) of the Act. We will
update the LUPA add-on factors as necessary in accordance with
applicable regulations.
Comment: Many commenters raised concerns regarding proposed payment
rate reductions specific to occupational therapy services, specifically
stating that proposed payment cuts to occupational therapy could
significantly reduce access to essential occupational therapy services
for Medicare beneficiaries receiving care at home.
Response: We appreciate the commenters' concern. It appears that
many commenters conflated the OT LUPA add-on factor proposal with the
proposed permanent adjustment to the national, standardized 30-day
payment rate. To clarify, in the CY 2025 HH PPS proposed rule (89 FR
55377) we did not propose any OT-specific payment rate cuts. In fact,
with the proposal to establish a definitive OT LUPA add-on factor and
discontinue the use of the PT LUPA add-on factor as a proxy, the add-on
factor for OT services has increased by 3.2 percent.
Final Decision: We are finalizing the proposal to discontinue use
of the PT LUPA add-on factor as a proxy and establish the definitive
LUPA add-on factor for occupational therapy to be used in calculating
the LUPA add-on payment amounts. The OT LUPA factor is 1.7238 when
occupational therapy is the first skilled visit in a LUPA period that
occurs as the only period or an initial period in a sequence of
adjacent periods.
f. Payments for High-Cost Outliers Under the HH PPS
(1) Background
Section 1895(b)(5) of the Act allows for the provision of an
addition or adjustment to the home health payment amount otherwise made
in the case of outliers because of unusual variations in the type or
amount of medically necessary care. Under the HH PPS and the previous
unit of payment (that is, 60-day episodes), outlier payments were made
for 60-day episodes whose estimated costs exceed a threshold amount for
each HHRG. The episode's estimated cost was established as the sum of
the national wage-adjusted per visit payment amounts delivered during
the episode. The outlier threshold for each case-mix group or PEP
adjustment defined as the 60-day episode payment or PEP adjustment for
that group plus a fixed-dollar loss (FDL) amount. For the purposes of
the HH PPS, the FDL amount is calculated by multiplying the home health
FDL ratio by a case's wage-adjusted national, standardized 60-day
episode payment rate, which yields an FDL dollar amount for the case.
The outlier threshold amount is the sum of the wage and case-mix
adjusted PPS episode amount and wage-adjusted FDL amount. The outlier
payment is defined to be a proportion of the wage-adjusted estimated
cost that surpasses the wage-adjusted threshold. The proportion of
additional costs over the outlier threshold amount paid as outlier
payments is referred to as the loss-sharing ratio.
As we noted in the CY 2011 HH PPS final rule (75 FR 70397 through
70399), section 3131(b)(1) of the Affordable Care Act amended section
1895(b)(3)(C) of the Act to require that the Secretary reduce the HH
PPS payment rates such that aggregate HH PPS payments were reduced by 5
percent. In addition, section 3131(b)(2) of the Affordable Care Act
amended section 1895(b)(5) of the Act by redesignating the existing
language as section 1895(b)(5)(A) of the Act and revised the language
to state that the total amount of the additional payments or payment
adjustments for outlier episodes could not exceed 2.5 percent of the
estimated total HH PPS payments for that year. Section 3131(b)(2)(C) of
the Affordable Care Act also added section 1895(b)(5)(B) of the Act,
which capped outlier payments as a percent of total payments for each
HHA for each year at 10 percent.
As such, beginning in CY 2011, we reduced payment rates by 5
percent and targeted up to 2.5 percent of total estimated HH PPS
payments to be paid as outliers. To do so, we first returned the 2.5
percent held for the target CY 2010 outlier pool to the national,
standardized 60-day episode rates, the national per visit rates, the
LUPA add-on payment amount, and the NRS conversion factor for CY 2010.
We then reduced the rates by 5 percent as required by section
1895(b)(3)(C) of the Act, as amended by section 3131(b)(1) of the
Affordable Care Act. For CY 2011 and subsequent calendar years we
targeted up to 2.5 percent of estimated total payments to be paid as
outlier payments, and apply a 10-percent agency-level outlier cap.
In the CY 2017 HH PPS proposed and final rules (81 FR 43737 through
43742 and 81 FR 76702), we described our concerns regarding patterns
observed in home health outlier episodes. Specifically, we noted the
methodology for calculating home health outlier payments may have
created a financial incentive for providers to increase the number of
visits during an episode of care in order to surpass the outlier
threshold; and simultaneously created a disincentive for providers to
treat medically complex beneficiaries who require fewer but longer
visits. Given these concerns, in the CY 2017 HH PPS final rule (81 FR
76702), we finalized changes to the methodology used to calculate
outlier payments, using a cost-per-unit approach rather than a cost-
per-visit approach. This change in methodology allows for more accurate
payment for outlier episodes, accounting for both the number of visits
during an episode of care and the length of the visits provided. Using
this approach, we now convert the national per-visit rates into per 15-
minute unit rates. These per 15-minute unit rates are used to calculate
the estimated cost of an episode to determine whether the claim will
receive an outlier payment and the amount of payment for an episode of
care. In conjunction with our finalized policy to change to a cost-per-
unit approach to estimate episode costs and determine whether an
outlier episode should receive outlier payments, in the CY 2017 HH PPS
final rule we also finalized the implementation of a cap on the amount
of time per day that will be counted toward the estimation of an
episode's costs for outlier calculation purposes (81 FR 76725).
Specifically, we limit the amount of time per day (summed across the
six disciplines of care) to 8 hours (32 units) per day when estimating
the cost of an episode for outlier calculation purposes.
In the CY 2017 HH PPS final rule (81 FR 76724), we stated that we
did not plan to re-estimate the average minutes per visit by discipline
every year. Additionally, the per unit rates used to estimate an
episode's cost were updated by the home health update percentage each
year, meaning we will start with the national per visit amounts for the
same calendar year when calculating the cost-per-unit used to determine
the cost of an episode of care (81 FR 76727). We will continue to
monitor the visit length by discipline as more recent data
[[Page 88429]]
becomes available and may propose to update the rates as needed in the
future.
In the CY 2019 HH PPS final rule with comment period (83 FR 56521),
we finalized a policy to maintain the current methodology for payment
of high-cost outliers upon implementation of PDGM beginning in CY 2020
and calculated payment for high-cost outliers based upon 30-day period
of care. Upon implementation of the PDGM and 30-day unit of payment, we
finalized the FDL ratio of 0.56 for 30-day periods of care in CY 2020.
Given that CY 2020 was the first year of the PDGM and the change to a
30-day unit of payment, we finalized maintaining the same FDL ratio of
0.56 in CY 2021 as we did not have sufficient CY 2020 data at the time
of CY 2021 rulemaking to propose a change to the FDL ratio for CY 2021.
In the CY 2022 HH PPS final rule with comment period (86 FR 62292), we
estimated that outlier payments will be approximately 1.8 percent of
total HH PPS final rule payments if we maintained an FDL of 0.56 in CY
2022. Therefore, in order to pay up to, but no more than, 2.5 percent
of total payments as outlier payments we finalized an FDL of 0.40 for
CY 2022. In the CY 2023 HH PPS final rule (87 FR 66875), using CY 2021
claims utilization data, we finalized an FDL of 0.35 in order to pay up
to, but no more than, 2.5 percent of the total payment as outlier
payments in CY 2023. In the CY 2024 HH PPS final rule (88 FR 77749),
using CY 2022 claims utilization data, we finalized an FDL of 0.27 for
CY 2024.
(2) FDL Ratio for CY 2025
For a given level of outlier payments, there is a trade-off between
the values selected for the FDL ratio and the loss-sharing ratio. A
high FDL ratio reduces the number of periods that can receive outlier
payments but makes it possible to select a higher loss-sharing ratio,
and therefore, increase outlier payments for qualifying outlier
periods. Alternatively, a lower FDL ratio means that more periods can
qualify for outlier payments, but outlier payments per period must be
lower.
The FDL ratio and the loss-sharing ratio are selected so that the
estimated total outlier payments do not exceed the 2.5 percent
aggregate level (as required by section 1895(b)(5)(A) of the Act).
Historically, we have used a value of 0.80 for the loss-sharing ratio,
which, we believe, preserves incentives for agencies to attempt to
provide care efficiently for outlier cases. With a loss-sharing ratio
of 0.80, Medicare pays 80 percent of the additional estimated costs
that exceed the outlier threshold amount. Using CY 2023 claims data (as
of March 19, 2024) and given the statutory requirement that total
outlier payments do not exceed 2.5 percent of the total payments
estimated to be made under the HH PPS, we proposed an FDL ratio of 0.38
for CY 2025 which is higher than the finalized CY 2024 FDL of 0.27. We
stated that we would update the FDL, if needed, in the final rule once
we have more complete CY 2023 claims data. Therefore, using updated CY
2023 claims data as of (July 11, 2024) the final FDL ratio for CY 2025
is 0.35.
A summary of the comments we received on the proposed FDL ratio
appears as follows.
Comment: A commenter opposed the estimated 0.6 percent decrease to
home health payments which is the result of increasing the fixed-dollar
loss ratio for outlier payments in CY 2025. The commenter stated that
that the 0.6 percent decrease should be eliminated as there is not
adequate data to surmise that the cut is justified.
Response: We thank the commenter for their comment. However, we
disagree with the claim that there is not adequate data to justify the
0.6 percent decrease. We are statutorily required to ensure that total
outlier payments do not exceed the 2.5 percent aggregate level (as
required by section 1895(b)(5)(A) of the Act). In the CY 2019 HH PPS
final rule with comment period (83 FR 56521), we finalized a policy to
maintain the current methodology for payment of high-cost outliers upon
implementation of the PDGM beginning in CY 2020 and calculated payment
for high-cost outliers based upon 30-day periods of care. We have used
the most recent claims data to calculate the FDL ratio since that time.
In the CY 2025 HH PPS proposed rule, we stated that we would use the
most recent claims data available which is CY 2023 claims data. Using
CY 2023 claims data, we found that the FDL ratio would need to be
increased from the final CY 2024 FDL of 0.27 to the proposed CY 2025
ratio of 0.38. A higher FDL ratio reduces the number of periods that
can receive outlier payments, and as a result there is a slight
decrease to total payments. Based on more complete CY 2023 claims data
as of (July 11, 2024) the final CY 2025 FDL ratio has been adjusted to
0.35 which results in a 0.4 percent decrease in total payments.
Final Decision: We are finalizing the CY 2025 FDL ratio of 0.35,
using updated CY 2023 claims data as of July 11, 2024.
F. Annual Rate Update for Disposable Negative Pressure Wound Therapy
(dNPWT) Device
1. Background
Negative pressure wound therapy (NPWT) is a medical procedure in
which a vacuum dressing is used to enhance and promote healing in
acute, chronic, and burn wounds. The therapy involves using a sealed
wound dressing attached to a pump to create a negative pressure
environment in the wound. The therapy can be administered using the
conventional NPWT system, classified as durable medical equipment
(DME), or can be administered using a disposable device. A disposable
NPWT (dNPWT) device is a single-use integrated system that consists of
a non-manual vacuum pump, a receptacle for collecting exudate, and
wound dressings. Unlike conventional NPWT systems classified as DME,
dNPWT devices have preset continuous negative pressure, no intermittent
setting, are pocket-sized and easily transportable, and are generally
battery-operated with disposable batteries. In order for a beneficiary
to receive dNPWT under the home health benefit, the beneficiary must
qualify for the home health benefit in accordance with existing
eligibility requirements.
2. Payment Policies for dNPWT Devices
Prior to CY 2024, the separate payment amount for dNPWT included
the furnishing of services as well as the dNPWT device. The separate
payment amount was set equal to the amount of the payment that will be
made under the Medicare Hospital Outpatient Prospective Payment System
(OPPS) using the CPT codes 97607 and 97608. Payment for visits where
the sole purpose of a home health visit was to furnish dNPWT was not
made under the HH PPS. Therefore, visits performed solely for the
purpose of furnishing a new dNPWT device were not reported on the HH
PPS claim (type of bill (TOB) 32x), instead HHAs submitted these claims
on a TOB 34x. However, if a home health visit included the provision of
other home health services in addition to, and separate from,
furnishing dNPWT, the HHA submitted both a TOB 32x and TOB 34x--the TOB
32x for other home health services and the TOB 34x for furnishing NPWT
using a disposable device.
Beginning in CY 2024, Division FF, section 4136 of the CAA, 2023
(Pub. L. 117-328) amended section 1834 of the Act (42 U.S.C. 1395m(s))
and mandated several amendments to the Medicare separate payment for
dNPWT. These changes included--
[[Page 88430]]
For CY 2024, the separate payment amount for an applicable
dNPWT device was set equal to the supply price used to determine the
relative value for the service under the Physician Fee Schedule (PFS)
under section 1848 as of January 1, 2022 (CY 2022), updated by the
percent increase in the CPI-U for the 12-month period ending with June
of the preceding year reduced by m the productivity adjustment
described in section 1886(b)(3)(B)(xi)(II) of the Act for such year;
For 2025 and each subsequent year, the separate payment
amount was to be set equal to the payment amount established for the
device in the previous year, updated by the percent increase in the
CPI-U for the 12-month period ending with June of the preceding year
reduced by the productivity adjustment described in section
1886(b)(3)(B)(xi)(II) for such year.
The separate payment amount for applicable devices
furnished on or after January 1, 2024, will no longer include payment
for nursing or therapy services described in section 1861(m) of the Act
so that payment for such nursing or therapy services are now made under
the HH PPS, and is no longer separately billable.
Claims for the separate payment amount of an applicable
dNPWT device are now accepted and processed on claims submitted using
the type of bill (TOB) 32X.
In the CY 2024 HH PPS final rule (88 FR 77676), we finalized our
proposal to codify these changes to dNPWT payments mandated by the CAA,
2023. Beginning January 1, 2024, the separate payment for a dNPWT
device is made to an HHA for an individual who is under a home health
plan of care using Healthcare Common Procedure Coding System (HCPCS)
code A9272. The code HCPCS A9272 is defined as a wound suction,
disposable, includes dressing, all accessories and components, any
type, each. The HHA reports the HCPCS code A9272 for the device only on
the home health TOB 32X. The services related to the application of the
device are included in the home health payment and are excluded from
the separate payment amount for the device. The CY 2024 single payment
amount for a dNPWT device for individuals under a home health plan of
care was set equal to $270.09, which equaled the supply price of an
applicable device under the Medicare PFS (as of January 1, 2022) of
$263.25 updated by the 2.6 percent increase in the CPI-U for the 12-
month period ending in June of 2023, minus the productivity adjustment.
3. CY 2025 Separate Payment Amount for a dNPWT Device
For CY 2025, we proposed that the separate payment amount for a
dNPWT device would be set equal to the CY 2024 payment amount of
$270.09 updated by the CPI-U for June 2024, minus the productivity
adjustment, as mandated by the CAA, 2023. The application of the
productivity adjustment may result in a net update that may be less
than 0.0 for a year and may result in the separate payment amount for
an applicable device for a year being less than such separate payment
amount for such device for the preceding year. We noted that the CPI-U
for the 12-month period ending in June of 2024 was not available at the
time of the proposed rulemaking and stated that the CY 2025 payment
amount, as well as the CPI-U for the 12-month period ending in June of
2024, and the corresponding productivity adjustment would be updated in
the final rule.
For this final rule, the CPI-U for the 12-month period ending in
June of 2024 is 3.0 percent and the corresponding productivity
adjustment is 0.6 percent based on IHS Global Inc.'s third-quarter 2024
forecast of the CY 2025 productivity adjustment (which reflects the 10-
year moving average of changes in annual economy-wide private nonfarm
business TFP for the period ending June 30, 2024) Therefore, the final
update percentage will be 2.4 percent (3.0 percent reduced by 0.6
percentage point). The final CY 2025 separate payment amount for a
dNPWT device will be $276.57, which reflects the CY 2024 payment amount
of $270.09 updated by the final update percentage of 2.4 percent.
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The following is a summary of the public comments and our responses
regarding the payment update for the dNPWT device.
Comment: A commenter recommended that stakeholders be given the
opportunity to comment on the final payment amount for dNPWT in the
event there is an issue in the calculation of the rate.
Response: We thank the commenter for their recommendation. However,
we stated in the proposed rule that the CPI-U and productivity
adjustment were not available in time for the publication of the
proposed rule and the rate would be published in the final rule.
Although the final rate was not available at the time of the proposed
rule, in the CY 2025 HH PPS final rule (89 FR 77751), we finalized the
policy of setting the separate payment of a dNPWT device equal to the
payment amount established for the device in the previous year, updated
by the percentage increase in the CPI-U reduced by the productivity
adjustment for the 12-month period ending in June of the previous year.
The CY 2025 final rule simply updates the dNPWT device separate payment
amount using this finalized policy. As such, we believe there was
adequate opportunity for commenters to provide feedback on the
calculation of the final CY 2025 rate. If we are alerted to an issue in
the calculation of this final rate after publication of this final
rule, we would issue a correction notice if necessary.
Comment: A commenter stated that while they recognize that changes
to the dNPWT device separate payment amount were required by statute,
they believe that the payment approach for dNPWT devices is confusing
and adds another level of burden for HHAs. This commenter recommended
that dNPWT be removed from the HH PPS payment structure entirely and be
independently paid through the durable medical equipment (DME) benefit.
The
[[Page 88431]]
commenter suggested that making this change would help ensure that
Medicare beneficiaries receive appropriate wound care, and providers
receive fair and equitable payment for supplies and related services.
Response: We appreciate the commenter's recommendation. However,
this comment is outside the scope of the proposed rule. We are
statutorily required to process claims for the separate payment amount
of an applicable dNPWT device on claims submitted using the type of
bill (TOB) 32X, and the payment rate for dNPWT under the home health
benefit is described in statute. Furthermore, dNPWT devices are
disposable, thus would not be eligible for payment under the DME
benefit. Therefore, the separate payment amount for dNPWT devices will
continue to be reported on the home health TOB 32X using HCPCS code
A9272 (for the device only). As a reminder, the services related to the
application of the device are included in the home health payment and
are excluded from the separate payment amount for the device.
Final Decision: We are finalizing the CY 2025 separate payment
amount for the dNPWT device under a home health plan of care of
$276.57, which is equal to CY 2024 rate of $270.09 updated by the final
update percentage of 2.4 percent. For CY 2026 and subsequent years, if
CMS does not intend to propose changes to its established methodology
for calculating dNPWT payments, payment rates will be updated using
CMS's established methodology via the Home Health Prospective Payment
System Rate Update Change Request and posted on the HHA Center website
at https://www.cms.gov/medicare/enrollment-renewal/providers-suppliers/home-health-agency-center. For more in-depth information regarding the
finalized policies associated with the scope of the payment for dNPWT
and conditions for payment, we refer readers to the CY 2024 HH PPS
final rule (88 FR 77749 through 77752).
III. Home Health Quality Reporting Program (HH QRP)
A. Background and Statutory Authority
The HH QRP is authorized by section 1895(b)(3)(B)(v) of the Act.
Section 1895(b)(3)(B)(v)(II) of the Act requires that, for 2007 and
subsequent years, each home health agency (HHA) submit to the Secretary
in a form and manner, and at a time, specified by the Secretary, such
data that the Secretary determines are appropriate for the measurement
of health care quality. To the extent that an HHA does not submit data
in accordance with this clause, the Secretary shall reduce the home
health market basket percentage increase applicable to the HHA for such
year by 2 percentage points. As provided at section 1895(b)(3)(B)(vi)
of the Act, depending on the market basket percentage increase
applicable for a particular year, as further reduced by the
productivity adjustment (except in 2018 and 2020) described in section
1886(b)(3)(B)(xi)(II) of the Act, the reduction of that increase by 2
percentage points for failure to comply with the requirements of the HH
QRP may result in the home health market basket percentage increase
being less than 0.0 percent for a year, and may result in payment rates
under the Home Health PPS for a year being less than payment rates for
the preceding year. Section 1890A of the Act requires that the
Secretary establish and follow a pre-rulemaking process, in
coordination with the consensus-based entity (CBE) with a contract
under section 1890 of the Act, to solicit input from certain groups
regarding the selection of quality and efficiency measures for the HH
QRP. The HH QRP regulations can be found at 42 CFR 484.245 and 484.250.
Based on feedback from patients and stakeholders, CMS has launched
an effort to update and shorten the Home Health Consumer Assessment of
Healthcare Providers and Systems (HHCAHPS) survey. In 2022, CMS tested
a shortened survey across a variety of different types of HHAs. We
reviewed the findings of the field test and plan to finalize in the
future updates to the survey with the intent to shorten it. Potential
updated HHCAHPS measures have been submitted through the Pre-rulemaking
Review Process.
B. Summary of the Provision of this Final Rule
In this final rule, we are finalizing the proposal to add four new
assessment items and modify one assessment item on the OASIS. Second,
we are finalizing an update to the removal of the suspension of OASIS
all-payer data collection. Third, we sought information on future HH
QRP quality measure concepts. These proposals are further specified in
the following sections.
For a detailed discussion of the considerations, we historically
use for measure selection for the HH QRP quality, resource use, and
other measures, we refer readers to the CY 2016 HH PPS final rule (80
FR 68695 through 68696). In the CY 2019 HH PPS final rule with comment
period (83 FR 56548 through 56550), we finalized the factors we
consider for removing previously adopted HH QRP measures.
C. Quality Measures Currently Adopted for the CY 2024 HH QRP
The HH QRP currently includes 19 measures for the CY 2024 program
year, as described in table 26.
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BILLING CODE 4120-01-C
D. Proposal To Collect Four New Items as Standardized Patient
Assessment Data Elements and Modify One Item Collected as a
Standardized Patient Assessment Data Element Beginning With the CY 2027
HH QRP
In this final rule, we have added four new items \12\ to be
collected as standardized patient assessment data elements under the
social determinants of health (SDOH) category HH QRP: Living Situation
(one item); Food (two items); and Utilities (one item). We modified the
current ``Transportation'' item collected as standardized patient
assessment data under the SDOH category as described in section
III.D.5. of this final rule.
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\12\ Items may also be referred to as ``data elements.''
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1. Definition of Standardized Patient Assessment Data
Section 1895(b)(3)(B)(v) of the Act requires that for CY 2007 and
subsequent years, HHAs submit quality data to the Secretary. Section
1899B(a)(1)(C) of the Act requires, in part, the Secretary to modify
the post-acute care (PAC) assessment instruments for PAC providers,
including HHAs, to submit standardized patient assessment data under
the Medicare program. Section 1899B(b)(1)(A) of the Act requires PAC
providers to submit standardized patient assessment data under
applicable reporting provisions (which, for HHAs, is the HH QRP) for
the admission (start and resumption of care) and discharge of an
individual (and more frequently as the Secretary deems appropriate).
Section 1899B(b)(1)(B) of the Act defines standardized patient
assessment data as data required for at least the quality measures
described in section 1899B(c)(1) of the Act and that is concerning the
following categories: (i) functional status, such as mobility and self-
care at admission to a PAC provider and before discharge from a PAC
provider; (ii) cognitive function, such as ability to express ideas and
to understand, and mental status, such as depression and dementia;
(iii) special services, treatments, and interventions, such as need for
ventilator use, dialysis, chemotherapy, central line placement, and
total parenteral nutrition; (iv) medical conditions and comorbidities,
such as diabetes, congestive heart failure, and pressure ulcers; (v)
impairments, such as incontinence and an impaired ability to hear, see,
or swallow; and (vi) other categories deemed necessary and appropriate
by the Secretary.
2. Social Determinants of Health (SDOH) Collected as Standardized
Patient Assessment Data Elements
Section 1899B(b)(1)(B)(vi) of the Act authorizes the Secretary to
collect standardized patient assessment data elements with respect to
other categories deemed necessary and appropriate. Accordingly, we
finalized the creation of the SDOH category of standardized patient
assessment data elements in the CY 2020 HH PPS final rule (84 FR 60597
through 60608). SDOH are the socioeconomic, cultural, and environmental
circumstances in which individuals live that impact their health.\13\
According to the World Health Organization research shows that the SDOH
can be more important than health care or lifestyle choices in
influencing health, accounting for between 30-55% of health
outcomes.\14\ This is a part of a growing body of research that
highlights the importance of SDOH on health outcomes. Subsequent to the
CY 2020 HH PPS final rule, we expanded our definition of SDOH: SDOH are
the conditions in the environments where people are born, live, learn,
work, play, worship and age that affect a wide range of health,
functioning, and quality-of-life outcomes and risks.15 16 17
This expanded definition aligns our definition of SDOH with the
definition used by other HHS agencies, including Office of the
Assistant Secretary for Health (OASH), the Centers for Disease Control
and Prevention (CDC) and the White House Office of Science and
Technology Policy (OSTP).18 19 We currently collect seven
items in this SDOH category of standardized patient assessment data
elements: ethnicity, race, preferred language, interpreter services,
health literacy, transportation, and social isolation.\20\ In
accordance with our authority under section 1899B(b)(1)(B)(vi) of the
Act, we similarly finalized the creation of the SDOH category of
standardized patient assessment data elements for skilled nursing
facilities (SNFs) in the FY 2020 SNF PPS final rule (84 FR 38805
through 38817), for Inpatient Rehabilitation Facilities (IRFs) in the
FY 2020 IRF PPS final rule (84 FR 39149 through 39161), and for Long
Term Acute Hospitals (LTCHs) in the FY 2020 LTCH PPS final rule (84 FR
42577 through 42579). We also collect the same seven SDOH items in
these PAC providers' respective patient/resident assessment instruments
(84 FR 38817, 39161, and 42577, respectively).
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\13\ Office of the Assistant Secretary for Planning and
Evaluation (ASPE). Second Report to Congress on Social Risk and
Medicare's Value-Based Purchasing Programs. June 28, 2020. Available
at https://aspe.hhs.gov/reports/second-report-congress-social-risk-medicares-value-based-purchasing-programs.
\14\ World health Organization. Social determinants of health.
Available at https://www.who.inte/health-topics/social-determinants-of-health#tab=tab_1.
\15\ Using Z Codes: The Social Determinants of Health (SDOH).
Data Journey to Better Outcomes.
\16\ Improving the Collection of Social Determinants of Health
(SDOH) Data with ICD-10-CM Z Codes. https://www.cms.gov/files/document/cms-2023-omh-z-code-resource.pdf.
\17\ CMS.gov Measures Management System (MMS). CMS Focus on
Health Equity. Health Equity Terminology and Quality Measures.
https://mmshub-impl.cms.gov/about-quality/quality-at-CMS/goals/cms-focus-on-health-equity/health-equity-terminology.
\18\ Centers for Disease Control and Prevention. Social
Determinants of Health (SDOH) and PLACES Data.
\19\ ``U.S. Playbook to Address Social Determinants of Health''
from the White House Office of Science and Technology Policy
(November 2023).
\20\ These SDOH data are also collected for purposes outlined in
section 2(d)(2)(B) of the Improving Medicare Post-Acute Care
Transitions Act (IMPACT Act). For a detailed discussion on SDOH data
collection under section 2(d)(2)(B) of the IMPACT Act, see the CY
2020 HH PPS final rule (84 FR 60597 through 60608).
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Adding access to standardized data relating to SDOH on a national
level permits us to conduct periodic analyses, and to assess their
appropriateness as risk adjustors or in future quality measures. Our
ability to perform these analyses and to make adjustments relies on
existing data collection of SDOH items from PAC settings. We adopted
these SDOH items using common standards and definitions across the four
PAC providers to promote interoperable exchange of longitudinal
information among these PAC providers, including HHAs, and other
providers. We believe this information may facilitate coordinated care,
improve patient focused care planning, and allow for continuity of the
discharge planning process from PAC settings.
We noted in our CY 2020 HH PPS final rule that each of the items
was identified in the 2016 National Academies of Sciences, Engineering,
and Medicine (NASEM) report as impacting care use, cost, and outcomes
for Medicare beneficiaries (84 FR 60598 through 60602). At that time,
we acknowledged that other items may also be useful to understand. The
SDOH items we proposed to be collected as standardized patient
assessment data elements under the SDOH category in this rule were also
identified in the 2016 NASEM report \21\ or the 2020 NASEM
[[Page 88434]]
report \22\ as impacting care use, cost and outcomes for Medicare
beneficiaries. These items have the potential to affect treatment
preferences and goals of patients and their caregivers. Identification
of the SDOH items may also help HHAs be able to offer assistance, by
connecting patients and their caregivers with these associated needs to
social support programs, as well as inform our understanding of patient
complexity.
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\21\ Social Determinants of Health. Healthy People 2020. https://www.cdc.gov/nchs/healthy_people/hp2020.htmFebruary 2019.
\22\ National Academies of Sciences, Engineering, and Medicine.
2020. Leading Health Indicators 2030: Advancing Health, Equity, and
Well-Being. Washington, DC: The National Academies Press. https://doi.org/10.17226/25682.
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Health-related social needs (HRSNs) are the resulting effects of
SDOH, which are individual-level, adverse social conditions that
negatively impact a person's health or health care.\23\ Examples of
HRSN include lack of access to food, housing, or transportation, and
these have been associated with poorer health outcomes, greater use of
emergency departments and hospitals, and higher health care costs.\24\
\25\ Certain HRSNs can lead to unmet social needs that directly
influence an individual's physical, psychosocial, and functional
status.\26\ This is particularly true for food security, housing
stability, utilities security, and access to transportation.\27\
Evidence supports the positive impact on health outcomes of
interventions aimed at addressing HRSNs.\28\
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\23\ Centers for Medicare & Medicaid Services. ``A Guide to
Using the Accountable Health Communities Health-Related Social Needs
Screening Tool: Promising Practices and Key Insights.'' August 2022.
Available at https://www.cms.gov/priorities/innovation/media/document/ahcm-screeningtool-companion.
\24\ Berkowitz, S.A., T.P. Baggett, and S.T. Edwards,
``Addressing Health-Related Social Needs: Value-Based Care or
Values-Based Care?'' Journal of General Internal Medicine, vol. 34,
no. 9, 2019, pp. 1916-1918, https://doi.org/10.1007/s11606-019-05087-3.
\25\ Whitman A, De Lew N, Chappel A, Aysola V, Zuckerman R, &
Sommers B D. Addressing social determinants of health: Examples of
successful evidence-based strategies and current federal efforts.
ASPE (Assistant Secretary for Planning and Evaluation) Office of
Health Policy. Report HP-2022-12 April 1, 2022. SDOH-Evidence-
Review.pdf (hhs.gov). Accessed 3/1/2024.
\26\ Hugh Alderwick and Laura M. Gottlieb, ``Meanings and
Misunderstandings: A Social Determinants of Health Lexicon for
Health Care Systems: Milbank Quarterly,'' Milbank Memorial Fund,
November 18, 2019, https://www.milbank.org/quarterly/articles/meanings-and-misunderstandings-a-social-determinants-of-health-lexicon-for-health-care-systems/.
\27\ Hugh Alderwick and Laura M. Gottlieb, ``Meanings and
Misunderstandings: A Social Determinants of Health Lexicon for
Health Care Systems: Milbank Quarterly,'' Milbank Memorial Fund,
November 18, 2019, https://www.milbank.org/quarterly/articles/meanings-and-misunderstandings-a-social-determinants-of-health-lexicon-for-health-care-systems/.
\28\ Whitman A, De Lew N, Chappel A, Aysola V, Zuckerman R, &
Sommers B D. Addressing social determinants of health: Examples of
successful evidence-based strategies and current federal efforts.
ASPE (Assistant Secretary for Planning and Evaluation) Office of
Health Policy. Report HP-2022-12 April 1, 2022. SDOH-Evidence-
Review.pdf (hhs.gov). Accessed 5/29/2024.
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We proposed to require HHAs collect and submit four new items in
the OASIS as standardized patient assessment data elements under the
SDOH category because these items will collect information not already
captured by the current SDOH items. Specifically, we believe the
ongoing identification of SDOH will have three significant benefits.
First, promoting SDOH screening could serve as evidence-based building
blocks for supporting healthcare providers in actualizing their
commitment to address disparities that disproportionately impact
underserved communities. Second, SDOH screening advances health equity
through identifying potential social needs so that an HHA may address
those with the patient, their caregivers, and community partners during
the home health episode and discharge planning process, if
indicated.\29\ Third, these SDOH items will support ongoing HH QRP
initiatives by providing data to stratify HHAs' performance on current
and future quality measures to improve care quality across different
populations.
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\29\ American Hospital Association (2020). Health Equity,
Diversity & Inclusion Measures for Hospitals and Health System
Dashboards. December 2020. Accessed: January 18, 2022. Available at
https://ifdhe.aha.org/system/files/media/file/2020/12/ifdhe_inclusion_dashboard.pdf.
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Additional collection of SDOH items will permit us to continue
developing the statistical tools necessary to maximize the value of
Medicare data and improve the quality of care for all beneficiaries.
For example, we recently developed and released the Health Equity
Confidential Feedback Reports, which provided data to HHAs on whether
differences in quality measure outcomes are present for their patients
by dual-enrollment status and race and ethnicity.\30\ We note that
advancing health equity by addressing the health disparities that
underlie the country's health system is one of our strategic pillars
\31\ and a Biden-Harris Administration priority.\32\
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\30\ In October 2023, we released two new annual Health Equity
Confidential Feedback Reports to HHAs: The Discharge to Community
(DTC) Health Equity Confidential Feedback Report and the Medicare
Spending Per Beneficiary (MSPB) Health Equity Confidential Feedback
Report. The PAC Health Equity Confidential Feedback Reports
stratified the DTC and MSPB measures by dual-enrollment status and
race/ethnicity. For more information on the Health Equity
Confidential Feedback Reports, please refer to the Education and
Outreach materials available here: https://www.cms.gov/medicare/quality/snf-quality-reporting-program/training.
\31\ Brooks-LaSure, C. (2021). My First 100 Days and Where We Go
from Here: A Strategic Vision for CMS. Centers for Medicare &
Medicaid. Available at https://www.cms.gov/blog/my-first-100-days-and-where-we-go-here-strategic-vision-cms.
\32\ The White House. The Biden-Harris Administration Immediate
Priorities. https://www.whitehouse.gov/priorities/.
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3. Proposal To Collect Four New Items as Standardized Patient
Assessment Data Elements Beginning January 1, 2027, for the CY 2027 HH
QRP Program Year \33\
---------------------------------------------------------------------------
\33\ Per the authority for the OASIS assessment instrument under
1891(d)(1), Home Health Conditions of Participation [42 U.S.C.
1395bbb].
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We proposed to require that HHAs collect four new items as
standardized patient assessment data elements under the SDOH category
using the OASIS: one item for living situation, as described in section
III.D.3.a. of this final rule; two items for food, as described in
section III.D.3.b. of this final rule; and one item for utilities, as
described in section III.D.3.c of this final rule.
We selected the final SDOH items from the Accountable Health
Communities (AHC) HRSN Screening Tool developed for the AHC Model. The
AHC HRSN Screening Tool is a universal, comprehensive screening for
HRSNs that was developed by a technical expert panel (TEP) in July 2016
to discuss opportunities and challenges involved in screening for
HRSNs, consider and pare down CMS' list of evidence-based screening
questions, and recommend a short list of questions for inclusion in the
final tool.34 35 The TEP agreed to prioritize the inclusion
of five SDOH domains as follows: (1) housing instability (for example,
homelessness, poor housing quality); (2) food insecurity; (3)
transportation difficulties; (4) utility assistance needs; and (5)
interpersonal safety concerns (for example, intimate-partner violence,
elder abuse, child maltreatment).\36\
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\34\ Centers for Medicare & Medicaid Services. ``A Guide to
Using the Accountable Health Communities Health-Related Social Needs
Screening Tool: Promising Practices and Key Insights.'' August 2022.
Available at https://www.cms.gov/priorities/innovation/media/document/ahcm-screeningtool-companion.
\35\ Billioux, A., K. Verlander, S. Anthony, and D. Alley. 2017.
Standardized screening for health-related social needs in clinical
settings: The accountable health communities screening tool.
Discussion Paper, National Academy of Medicine, Washington, DC.
https://nam.edu/wp-content/uploads/2017/05/Standardized-Screening-for-Health-Related-Social-Needs-in-Clinical-Settings.pdf.
\36\ More information about the AHC HRSN Screening Tool is
available on the website at https://innovation.cms.gov/Files/worksheets/ahcm-screeningtool.pdf.
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[[Page 88435]]
We believe that requiring HHAs to report new items that are
currently included in the AHC HRSN Screening Tools will further
standardize the screening of SDOH across patient assessment instruments
and the various quality reporting programs. For example, our proposal
will align, in part, with the requirements of the Hospital Inpatient
Quality Reporting (IQR) Program and the Inpatient Psychiatric Facility
Quality Reporting (IPFQR) Program. As of January 2024, hospitals are
required to report whether they have screened patients for the
standardized SDOH categories of housing stability, food security, and
access to transportation to meet the Hospital IQR Program
requirements.\37\ Beginning January 2025, inpatient psychiatric
facilities (IPFs) will also be required to report whether they have
screened patients for the same set of SDOH categories.\38\ As we
continue to standardize data collection across PAC settings, we believe
using common standards and definitions for new items is important to
ensure the interoperable exchange of longitudinal information between
HHAs and other providers to facilitate coordinated care, continuity in
care planning, and the discharge planning process.
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\37\ Centers for Medicare & Medicaid Services, FY2023 IPPS/LTCH
PPS final rule (87 FR 49191 through 49194).
\38\ Centers for Medicare & Medicaid Services, FY 2024 Inpatient
Psychiatric Prospective Payment System--Rate Update (88 FR 51107
through 51121).
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In the following section we describe each of the four proposed
items in more detail.
a. Living Situation
Healthy People 2030 prioritizes economic stability as a key SDOH,
of which housing stability is a component.39 40 Lack of
housing stability encompasses several challenges, such as having
trouble paying rent, overcrowding, moving frequently, or spending the
bulk of household income on housing.\41\ These experiences may
negatively affect physical health and make it harder to access health
care. Lack of housing stability can also lead to homelessness, which is
housing deprivation in its most severe form.\42\ On a single night in
2023, roughly 653,100 people, or 20 out of every 10,000 people in the
United States, were experiencing homelessness.\43\ Rates of chronic
disease and premature mortality are higher among the unsheltered
homeless relative to the sheltered.\44\ Older adults (aged 65 years and
older) have lower rates of experiencing any housing instability
compared to younger people (8.8% versus 18.7%), but low-income older
adults may be more at risk for housing instability if they lack the
resources necessary to secure and/or maintain structurally sound
housing.\45\ Adults (aged 18-64 years) with disabilities experience
challenges to securing stable housing including affordability and
accessibility.\46\ We believe that HHAs can use information obtained
from the Living Situation assessment item during a patient's initial
assessment as well as in discharge planning. For example, HH social
workers can work with patients experiencing housing instability to
ensure patients are referred to available community resources, such as
supportive housing programs. HHAs could work in partnership with
community care hubs and community-based organizations to establish new
care transition workflows, including referral pathways, contracting
mechanisms, data sharing strategies, and implementation training that
can track both health and social needs outcomes to ensure unmet needs,
such as housing, are successfully addressed through closed loop
referrals and follow-up.\47\ HHAs could also take action to help
alleviate a patient's other related costs of living, like food, by
referring patients to community-based organizations that will allow
patients' additional resources to be allocated towards housing without
sacrificing other needs.\48\ Finally, HHAs could use the information
obtained from the Living Situation assessment item to better coordinate
with other PAC facilities and agencies during transitions of care, so
that referrals to address a patient's housing stability are not lost
during vulnerable transition periods.
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\39\ https://health.gov/healthypeople/priority-areas/social-determinants-health.
\40\ Healthy People 2030 is a long-term, evidence-based effort
led by the HHS that aims to identify nationwide health improvement
priorities and improve the health of all Americans.
\41\ Kushel, M.B., Gupta, R., Gee, L., & Haas, J.S. (2006).
Housing instability and food insecurity as barriers to health care
among low-income Americans. Journal of General Internal Medicine,
21(1), 71-77. doi: 10.1111/j.1525-1497.2005.00278.x.
\42\ Homelessness is defined as ``lacking a regular nighttime
residence or having a primary nighttime residence that is a
temporary shelter or other place not designed for sleeping.''
Crowley, S. (2003). The affordable housing crisis: Residential
mobility of poor families and school mobility of poor children.
Journal of Negro Education, 72(1), 22-38. doi: 10.2307/3211288.
\43\ The 2023 Annual Homeless Assessment Report (AHAR) to
Congress. The U.S. Department of Housing and Urban Development 2023.
https://www.huduser.gov/portal/sites/default/files/pdf/2023-AHAR-Part-1.pdf.
\44\ Richards J, & Kuhn R. Unsheltered homelessness and health:
A Literature Review. AJPM focus 2023; 2(1):100043. American Journal
of Preventive Medicine. Unsheltered Homelessness and Health: A
Literature Review (sciencedirectassets.com). Accessed 3/1/2024.
\45\ Bhat, Aarti C., David M. Almeida, Andrew Fenelon, and
Alexis R. Santos-Lozada. ``A longitudinal analysis of the
relationship between housing insecurity and physical health among
midlife and aging adults in the United States.'' SSM-Population
Health 18 (2022): 101128.
\46\ Popkin SJ, Hermans A, Oneto AD, Farrell L, Connery M, &
Cannington A. 2022. People with Disabilities Living in the US Face
Urgent Barriers to Housing: Federal Programs are not Meeting the
Housing Needs of Disabled People. Urban Institute. People with
Disabilities Living in the US Face Urgent Barriers to Housing_0.pdf
(urban.org). Accessed 5/29/2024.
\47\ HHS, Call to Action, ``Addressing Health Related Social
Needs in Communities Across the Nation.'' November 2023. https://aspe.hhs.gov/sites/default/files/documents/3e2f6140d0087435cc6832bf8cf32618/hhs-call-to-action-health-related-social-needs.pdf.
\48\ Henderson, K.A., Manian, N., Rog, D.J., Robison, E., Jorge,
E., AlAbdulmunem, M. ``Addressing Homelessness Among Older Adults''
(Final Report). Washington, DC: Office of the Assistant Secretary
for Planning and Evaluation, U.S. Department of Health and Human
Services. October 26, 2023.
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Due to the potential negative impacts housing instability can have
on a patient's health, we proposed to adopt the Living Situation
assessment item as a new standardized patient assessment data element
under the SDOH category. This Living Situation assessment item is
currently collected in the AHC HRSN Screening Tool 49 50 and
was adapted from the Protocol for Responding to and Assessing Patients'
Assets, Risks, and Experiences (PRAPARE) tool.\51\ The proposed Living
Situation item asks: ``What is your living situation today?'' The
proposed response options are: (1) I have a steady place to live; (2) I
have a place to live today, but I am worried about losing it in the
future; (3) I do not have a steady place to live; (4) Patient unable to
respond; and (5) Patient declines to respond. A draft of the proposed
Living Situation item can be found in the Downloads section of the HH
QRP Quality Measures web page at https://www.cms.gov/medicare/quality/home-health/home-health-quality-measures.
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\49\ More information about the AHC HRSN Screening Tool is
available on the website at https://innovation.cms.gov/Files/worksheets/ahcm-screeningtool.pdf.
\50\ The AHC HRSN Screening Tool Living Situation item includes
two questions. In an effort to limit HHA burden, we are only
proposing the first question.
\51\ National Association of Community Health Centers and
Partners, National Association of Community Health Centers,
Association of Asian Pacific Community Health Organizations,
Association OPC, Institute for Alternative Futures. ``PRAPARE.''
2017. https://prapare.org/the-prapare-screening-tool/.
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[[Page 88436]]
b. Food
The U.S. Department of Agriculture (USDA), Economic Research
Service defines a lack of food security as a household-level economic
and social condition of limited or uncertain access to adequate
food.\52\ Adults who are food insecure may be at an increased risk for
a variety of negative health outcomes and health disparities. For
example, a study found that food-insecure adults may be at an increased
risk for obesity.\53\ Nutrition security is also an important component
that builds on and complements long standing efforts to advance food
security. The USDA defines nutrition security as ``consistent and
equitable access to healthy, safe, affordable foods essential to
optimal health and well-being.'' \54\ While having enough food is one
of many predictors for health outcomes, a diet low in nutritious foods
is also a factor.\55\ Studies have shown that older adults struggling
with food security consume fewer calories and nutrients and have lower
overall dietary quality than those who are food secure, which can put
them at nutritional risk. Older adults are also at a higher risk of
developing malnutrition, which is considered a state of deficit,
excess, or imbalance in protein, energy, or other nutrients that
adversely impacts an individual's own body form, function, and clinical
outcomes. About 50% of older adults are affected by malnutrition, which
is further aggravated by a lack of food security and poverty.\56\ We
believe that adopting items to collect and analyze information about a
patient's food security at home could provide additional insight into
their health complexity and help facilitate coordination with other
healthcare providers, facilities, and agencies during transitions of
care, so that referrals to address a patient's food security are not
lost during vulnerable transition periods. For example, an HHA's
registered nurse (RN) or other clinically qualified nutrition
professional could work with the patient to plan healthy, affordable
food choices prior to discharge.\57\ HHAs could also refer any patient
that indicates lack of food security to government initiatives such as
home delivered meals programs provided by Area Agencies on Aging,\58\
the Supplemental Nutrition Assistance Program (SNAP), and food
pharmacies (programs to increase access to healthful foods by making
them affordable), initiatives that have been associated with lower
health care costs and reduced hospitalization and emergency department
visits.\59\
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\52\ U.S. Department of Agriculture, Economic Research Service
(n.d.). Definitions of food security. Retrieved March 10, 2022, from
https://www.ers.usda.gov/topics/food-nutrition-assistance/food-security-in-the-u-s/definitions-of-food-security/.
\53\ Hernandez, D.C., Reesor, L.M., & Murillo, R. (2017). Food
insecurity and adult overweight/obesity: Gender and race/ethnic
disparities. Appetite, 117, 373-378.
\54\ Food and Nutrition Security (n.d.). USDA. https://www.usda.gov/nutrition-security.
\55\ National Center for Health Statistics (2022 September 6).
Exercise or Physical Activity. Retrieved from Centers for Disease
Control and Prevention: https://www.cdc.gov/nchs/fastats/exercise.htm.
\56\ Food Research & Action Center (FRAC). ``Hunger is a Health
Issue for Older Adults: Food Security, Health, and the Federal
Nutrition Programs.'' December 2019. https://frac.org/wp-content/uploads/hunger-is-a-health-issue-for-older-adults-1.pdf.
\57\ Schroeder K, Smaldone A. Food Insecurity: A Concept
Analysis. Nurse Forum. 2015 Oct-Dec;50(4):274-84. doi: 10.1111/
nuf.12118. Epub 2015 Jan 21. PMID: 25612146; PMCID: PMC4510041.
\58\ Administration for Community Living. Nutrition Services.
Last updated 02/02/2024. Accessed 04/19/2024. https://acl.gov/programs/health-wellness/nutrition-services.
\59\ Tsega M, Lewis C, McCarthy D, Shah T, Coutts K. Review of
Evidence for Health-Related Social Needs Interventions. July 2019.
The Commonwealth Fund. https://www.commwealthfund.org/sites/default/files/2019-07/ROI-EVIDENCE-REVIEW-FINAL-VERSION.pdf.
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We proposed to adopt two new food-related standardized patient
assessment data elements under the SDOH category. These proposed items
are based on the Food data elements currently collected in the AHC
Screening Tool and were adapted from the U.S. Department of Agriculture
18-item Household Food Security Survey (HFSS).\60\ The first proposed
Food item states: ``Within the past 12 months, you worried that your
food will run out before you got money to buy more.'' The second
proposed Food item states: ``Within the past 12 months, the food you
bought just didn't last and you didn't have money to get more.'' We
propose the same response options for both items: (1) Often true; (2)
Sometimes true; (3) Never True; (4) Patient declines to respond; and
(5) Patient unable to respond. A draft of the proposed Food items to be
adopted as standardized patient assessment data elements under the SDOH
category can be found in the Downloads section of the HH QRP Quality
Measures web page at https://www.cms.gov/medicare/quality/home-health/home-health-quality-measures.
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\60\ More information about the HFSS tool can be found at
https://www.ers.usda.gov/topics/food-nutrition-assistance/food-security-in-the-u-s/survey-tools/.
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c. Utilities
A lack of energy (utility) security can be defined as an inability
to adequately meet basic household energy needs.\61\ According to the
Department of Energy, one in three households in the U.S. are unable to
adequately meet basic household energy needs.\62\ The median energy
burden for rural households of older adults is considerably higher than
that for households without older adults.\63\ The consequences
associated with a lack of utility security are represented by three
primary dimensions: economic, physical, and behavioral. Patients with
low incomes are disproportionately affected by high energy costs, and
they may be forced to prioritize paying for housing and food over
utilities. Among older adults, food insecurity and high energy costs
together are prevalent.\64\ Some patients with low incomes may face
limited housing options and be at increased risk of living in lower-
quality physical conditions with malfunctioning heating and cooling
systems, poor lighting, and outdated plumbing and electrical systems.
Finally, patients with a lack of utility security may use concerning
behavioral approaches to cope, such as using stoves and space heaters
for heat.\65\ In addition, data from the Department of Energy's U.S.
Energy Information Administration confirm that a lack of energy
security disproportionately affects certain populations, such as low-
income and African American households.\66\ The effects of a lack of
utility security include vulnerability to environmental exposures such
as dampness, mold, and thermal discomfort in the home, which have
direct effect on patients' health.\67\
[[Page 88437]]
For example, research has shown associations between a lack of energy
security and respiratory conditions as well as mental health-related
disparities and poor sleep quality in vulnerable populations such as
the elderly, children, the socioeconomically disadvantaged, and the
medically vulnerable.\68\ We believe adopting an item to collect
information about a patient's utility security upon start or resumption
of care in HHAs will facilitate the identification of patients who may
not have utility security and who may benefit from engagement efforts.
For example, HHAs could use the information on utility security to help
connect identified patients in need, such as older adults, to programs
that can help pay for home energy (heating/cooling) costs, like the
Low-Income Home Energy Assistance Program (LIHEAP) \69\ or receive
broadband internet service through the Affordable Connectivity
Program.\70\ HHAs can also partner with community care hubs and
community-based organizations to assist patients in applying for these
and other local utility assistance programs, as well as helping them
navigate the enrollment process.\71\
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\61\ Hern[aacute]ndez D. Understanding 'energy insecurity' and
why it matters to health. Soc Sci Med. 2016 Oct; 167:1-10. doi:
10.1016/j.socscimed.2016.08.029. Epub 2016 Aug 21. PMID: 27592003;
PMCID: PMC5114037.
\62\ U.S. Energy Information Administration. ``One in Three U.S.
Households Faced Challenges in Paying Energy Bills in 2015.'' 2017
Oct 13. https://www.eia.gov/consumption/residential/reports/2015/energybills/.
\63\ Simes, Miranda, Farzana Khan, and Diana Hern[aacute]ndez.
``Energy Insecurity and Social Determinants of Health.'' In Handbook
of Social Sciences and Global Public Health, pp. 2119-2137. Cham:
Springer International Publishing, 2023.
\64\ Simes, Miranda, Farzana Khan, and Diana Hern[aacute]ndez.
``Energy Insecurity and Social Determinants of Health.'' In Handbook
of Social Sciences and Global Public Health, pp. 2119-2137. Cham:
Springer International Publishing, 2023.
\65\ Hern[aacute]ndez D. ``What `Merle' Taught Me About Energy
Insecurity and Health.'' Health Affairs, VOL.37, NO.3: Advancing
Health Equity Narrative Matters. March 2018. https://doi.org/10.1377/hlthaff.2017.1413.
\66\ U.S. Energy Information Administration. ``One in Three U.S.
Households Faced Challenges in Paying Energy Bills in 2015.'' 2017
Oct 13. https://www.eia.gov/consumption/residential/reports/2015/energybills/.
\67\ Shahrestanaki, S.K., Rafii, F., Najafi Ghezeljeh, T. et al.
Patient safety in home health care: a grounded theory study. BMC
Health Serv Res 23, 467 (2023). https://doi.org/10.1186/s12913-023-09458-9.
\68\ Siegel, Eva Laura, Kathryn Lane, Ariel Yuan, Lauren A.
Smalls-Mantey, Jennifer Laird, Carolyn Olson, and Diana
Hern[aacute]ndez. ``Energy Insecurity Indicators Associated With
Increased Odds Of Respiratory, Mental Health, And Cardiovascular
Conditions: Study examines energy insecurity and health
conditions.'' Health Affairs 43, no. 2 (2024): 260-268.
\69\ Low Income Home Energy Assistance Program (LIHEAP) [verbar]
The Administration for Children and Families (hhs.gov) (https://www.acf.hhs.gov/ocs/programs/liheap).
\70\ https://www.fcc.gov/broadbandbenefit.
\71\ National Council on Aging (NCOA). ``How to Make It Easier
for Older Adults to Get Energy and Utility Assistance.'' Promising
Practices Clearinghouse for Professionals. Jan 13, 2022. https://www.ncoa.org/article/how-to-make-it-easier-for-older-adults-to-get-energy-and-utility-assistance.
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We proposed to adopt a new Utilities item as a new standardized
patient assessment data element under the SDOH category. This proposed
item is based on the Utilities item currently collected in the AHC HRSN
Screening Tool and was adapted from the Children's Sentinel Nutrition
Assessment Program (C-SNAP) survey.\72\ The proposed Utilities item
asks: ``In the past 12 months, has the electric, gas, oil, or water
company threatened to shut off services in your home?'' The proposed
response options are: (1) Yes; (2) No; (3) Already shut off; (4)
Patient unable to respond; and (5) Patient declines to respond. A draft
of the proposed Utilities item to be adopted as a standardized patient
assessment data element under the SDOH category can be found in the
downloads section of the HH QRP Quality Measures web page at https://www.cms.gov/medicare/quality/home-health/home-health-quality-measures.
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\72\ This validated survey was developed as a clinical indicator
of household energy security among pediatric caregivers. Cook, J.T.,
D.A. Frank., P.H. Casey, R. Rose-Jacobs, M.M. Black, M. Chilton, S.
Ettinger de Cuba, et al. ``A Brief Indicator of Household Energy
Security: Associations with Food Security, Child Health, and Child
Development in US Infants and Toddlers.'' Pediatrics, vol. 122, no.
4, 2008, pp. e874-e875. https://doi.org/10.1542/peds.2008-0286.
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4. Stakeholder Input
We developed our proposal after considering the feedback we
received when we proposed the creation of the SDOH category of
standardized patient assessment data elements in the CY 2020 HH PPS
rule (84 FR 34677 through 34684). Commenters were generally in favor of
the concept of collecting SDOH data elements and stated that if
implemented appropriately the data could be useful in identifying and
addressing health care disparities, as well as refining the risk
adjustment of outcome measures. We incorporated this input into the
development of the proposal.
We invited comment on the proposal to adopt four new items as
standardized patient assessment data elements under the SDOH category
beginning with the CY 2027 HH QRP: one living situation item; two food
items; and one utilities item.
Comment: The majority of commenters supported the proposal.
Supportive comments noted the importance and relevance of SDOH to home
health and the importance of interoperability. Some commenters noted
that their home health agencies are already collecting this information
and have established community partnerships to address SDOH.
Response: CMS appreciate commenters' support for the proposal and
agrees that SDOH are important and relevant to home health. CMS also
agrees that interoperability is important to measure quality and
advance health equity, and thus we propose data elements that are
standardized across the PAC settings. CMS appreciates that some home
health agencies are already addressing SDOH by collecting information
and working with community partners.
Comment: Some commenters expressed support for the proposal and
suggested changes, including expanding the assessment to capture
overall financial need, and embedding the American Healthy Communities
(AHC) screening tool in the assessment instruments. One commenter
suggested that CMS require collection of the information but not
specify the tool or instrument to be used.
Response: CMS appreciates the commenters' suggestions and
acknowledge that patients' overall financial need and other data
elements from the AHC screening tool are important. However, the
proposed data elements have been identified as impacting care use, cost
and outcomes for Medicare beneficiaries. These items have the potential
to affect treatment preferences and goals of patients and their
caregivers. Identification of the SDOH items may also enable HHAs to
offer assistance, by connecting patients and their caregivers with
these associated needs to social support programs, as well as inform
our understanding of the level of patient clinical complexity. We
believe the proposed data elements offer the greatest potential benefit
without undue burden for patients and HHAs.
Comment: Commenters that supported the proposal also expressed
implementation concerns that vendors be provided enough time to prepare
for the changes; that home health agencies be provided time and
resources to educate staff on the changes; that OASIS revisions are too
frequent and burdensome for agencies; and that implementation of the
proposal would be burdensome. Some commenters cautioned that SDOH needs
identified must be addressed, and one suggested that CMS should provide
additional reimbursement to HHAs for the follow-up required to address
identified needs.
Response: CMS acknowledges and appreciates the commenters' concerns
and suggestions. CMS is finalizing the SDOH data elements in this
CY2025 final rule with an effective date of January 1, 2027, to ensure
that vendors and HHAs have sufficient time to prepare for
implementation of data collection. CMS will make training available to
HHAs on the changes to the OASIS, consistent with education and
training resources for previous revisions to the OASIS instrument. CMS
acknowledges that revisions to the OASIS require that providers expend
time, effort, and resources to prepare for the changes. CMS is
committed to proposing revisions to the OASIS no more frequently than
every two years. CMS agrees that patients' needs should be addressed by
the HHA, consistent with applicable rules and regulations, although we
note that the proposal does not specify a requirement for how HHAs may
address patients' needs.
Comment: A commenter suggested that CMS consider home health SDOH
[[Page 88438]]
data differently than data from the PAC institutional settings, noting
that in home health, an HHA staff member often walks into the home
where a situation caused by or related to one or more SDOH is already
happening and may be at a crisis level. In those situations, HHAs may
not have the capacity to remediate identified issues since this would
take significantly more time than merely conducting the assessment. The
commenter suggested that requirements that HHA staff respond to patient
and caregiver crises may trigger obligations such as mandatory
reporting to the local adult protective services agency, or requiring
that the staff member call county health officials to condemn a
patient's current living space even when no housing alternative exists.
These requirements would violate the trust the HHA is trying to
establish through its services and jeopardize individuals' ability to
access needed services for which they are eligible. The commenter
suggests that the SDOH data elements not be used as process or outcome
measures without additional CMS support for HHAs and recommends that
the SDOH data elements be considered an opportunity to gather more
information on populations accessing home health services.
Response: CMS acknowledges that the home health setting differs
from that of the institutional PAC settings. However, we believe that
HHAs can benefit from this information to facilitate coordinated care,
improve patient focused care planning, and allow for continuity of the
discharge planning process. Ultimately, CMS believes that first,
screening for SDOH could serve as evidence-based building blocks for
supporting healthcare providers in actualizing their commitment to
address disparities that disproportionately impact underserved
communities. Second, screening for SDOH advances health equity through
identifying potential social needs of individuals so the HHA may
address those with the patient, their caregivers, and community
partners during the home health episode and discharge planning process,
if indicated.\73\ Third, these SDOH items will support ongoing HH QRP
initiatives by providing data with which to stratify HHAs' performance
on current and future quality measures to improve care quality across
different populations.
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\73\ American Hospital Association (2020). Health Equity,
Diversity & Inclusion Measures for Hospitals and Health System
Dashboards. December 2020. Accessed: January 18, 2022. Available at:
https://ifdhe.aha.org/system/files/media/file/2020/12/ifdhe_inclusion_dashboard.pdf.
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Comment: Commenters that did not support the proposal acknowledged
that SDOH information was important, but stated that adding four data
elements to the OASIS and modifying a fifth would be burdensome. One
commenter noted that revisions to the OASIS are too frequent and
recommended that CMS limit revisions to intervals of no less than four
years. One commenter suggested that the proposed ``living situation''
data element duplicates other information that is already collected,
and recommended that the look-back for the ``utilities'' data element
be changed from 12 months to three to capture more reliable, valid, and
timely information. Another commenter encouraged CMS to consider using
SDOH information as part of the risk-adjustment of outcome quality
measures. A commenter stated the proposal is not aligned with health-
related social needs reporting requirements across the care continuum
and that further testing and refinement are needed to ensure the
proposed items work as intended in this setting. This commenter noted
the proposed data elements are not standardized with those in the
Inpatient and Inpatient Psychiatric Facility Quality Reporting
Programs, so are not interoperable, and also noted that inpatient
psychiatric facilities may use any standardized health-related social
needs screening tool. This commenter noted that CMS' evaluation of the
AHC HRNS screening tool in the AHC Model showed that screening did not
appear to increase beneficiary connection to community resources or
health-related social need resolution, and they recommended that CMS
conduct further testing and develop clearer implementation guidance
before adopting the proposed data elements in the HHQRP. This commenter
also requested that CMS articulate its vision for how the health-
related social need information collected by the proposed data elements
would be used in its quality and payment programs, noting for example
that measures holding HHAs accountable for community-based outcomes
such as connection to community resources and resolution of health-
related social need is outside the scope of covered home health
services as defined by Medicare.
Response: We acknowledge the commenters' concerns and appreciate
their suggestions. As previously stated, CMS acknowledges that
revisions to the OASIS require HHAs' time, effort, and resources, and
we are committed to proposing revisions to the OASIS no more frequently
than every two years. CMS disagrees that the proposed ``Living
Situation'' data element duplicates information that is already
collected because it addresses housing insecurity, which is not part of
the information captured in the current OASIS. CMS appreciates the
suggestion to reduce the look-back period for the ``Utilities'' data
element and will take this into consideration as we review data
submitted. CMS acknowledges that the SDOH data elements finalized in
this rule are not aligned with those of the inpatient QRPs; however we
believe that standardization across the PAC settings is an important
step in advancement towards interoperability. CMS believes that the
data elements finalized in this rule are not setting-specific, and that
the testing conducted in their development has been sufficiently
rigorous that we can adopt the data elements into the OASIS and the
other PAC instruments with confidence.
After consideration of the public comments we received, we are
finalizing our proposal to adopt four new items as standardized patient
assessment data elements under the SDOH category beginning with the CY
2027 HH QRP.
5. Modification of the ``Transportation'' Item Beginning With the CY
2027 HH QRP Program Year
Beginning January 1, 2023, HHAs began collecting seven standardized
patient assessment data elements under the SDOH category on the OASIS
Version E. One of these items, A1250. ``Transportation'', collects data
on whether a lack of transportation has kept a patient from getting to
and from medical appointments, meetings, work, or from getting things
they need for daily living. This item was adopted as a standardized
patient assessment data element under the SDOH category in the CY 2020
HH PPS final rule (84 FR 60478). As we discussed in the CY 2020 HH PPS
final rule, we continue to believe that access to transportation for
ongoing health care and medication access needs, particularly for those
with chronic diseases, is essential to successful chronic disease
management and the collection of a ``Transportation'' item will
facilitate the connection to programs that can address identified
needs.
As part of our routine item and measure monitoring work, we
continue to assess the implementation of the new SDOH items. We have
identified an opportunity to improve the data collection for A1250.
``Transportation'' by aligning it with the Transportation category
collected in our other programs. Specifically, we proposed to
[[Page 88439]]
modify the current ``Transportation'' item so that it aligns with a
``Transportation'' item collected on the AHC HRSN Screening Tool
available to the IPFQR and IQR Programs. Data element A1250,
``Transportation'', currently collected in the OASIS asks patients:
``Has lack of transportation kept you from medical appointments,
meetings, work, or from getting things needed for daily living?'' The
response options are: ``(A) Yes, it has kept me from medical
appointments or from getting any medications''; ``(B) Yes, it has kept
me from non-medical meetings, appointments, work, or from getting
things that I need''; ``(C) No''; ``(X) Patient unable to respond'';
and ``(Y) Patient declines to respond''. By comparison, the
``Transportation'' item collected in the AHC HRSN Screening Tool asks,
``In the past 12 months, has lack of reliable transportation kept you
from medical appointments, meetings, work or from getting things needed
for daily living?'' The two response options are: ``(1) Yes''; and
``(2) No.'' Consistent with the AHC HRSN Screening Tool, we proposed to
modify the A1250. ``Transportation'' item currently collected in the
OASIS in two ways: (1) revise the look-back period for when the patient
experienced lack of reliable transportation; and (2) simplify the
response options.
While the current ``Transportation'' assessment item uses a look-
back period of six to 12 months, we believe use of a 12-month lookback
period will reduce ambiguity for both patients and clinicians, and
therefore improve the validity of the data collected. Second, we
proposed to simplify the response options. Currently, HHAs separately
collect information on whether a lack of reliable transportation has
kept the patient from medical appointments or from getting medications,
and whether a lack of transportation has kept the patient from non-
medical meetings, appointments, work, or from getting things they need.
Although transportation barriers can directly affect a person's ability
to attend medical appointments and obtain medications, a lack of
transportation can also affect a person's health in other ways,
including accessing goods and services, obtaining adequate food and
clothing, and social activities.\74\ The proposed modified
``Transportation'' item will collect information on whether a lack of
reliable transportation has kept the patient from medical appointments,
meetings, work or from getting things needed for daily living, rather
than collecting the information separately. As discussed previously, we
believe reliable transportation services are fundamental to a person's
overall health, and as a result, the burden of collecting this
information separately outweighs its potential benefit.
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\74\ Victoria Transport Policy Institute (2016 August 25). Basic
access and basic mobility: Meeting society's most important
transportation needs. Retrieved from https://www.vtpi.org/tdm/tdm103.htm.
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For the reasons stated, we proposed to modify the current A1250
``Transportation'' based on the ``Transportation'' item adopted for use
in the AHC HRSN Screening Tool and adapted from the PRAPARE tool. The
proposed ``Transportation'' item asks: ``In the past 12 months, has a
lack of reliable transportation kept you from medical appointments,
meetings, work or from getting things needed for daily living?'' The
proposed response options are: (0) Yes; (1) No; (7) Patient declines to
respond; and (8) Patient unable to respond. A draft of the proposed
``Transportation'' item to be adopted as a standardized patient
assessment data element under the SDOH category can be found on the HH
QRP Quality Measures web page at https://www.cms.gov/medicare/quality/home-health/home-health-quality-measures/downloads.
We invited comment on the proposal to modify the current
``Transportation'' item previously adopted as a standardized patient
assessment data element under the SDOH category beginning January 1,
2027, with the CY 2027 HH QRP.
Comment: Most commenters supported the modification of the
``Transportation'' item to align with the AHC HRSN Screening Tool. Some
even suggested adopting more components of the AHC tool to the OASIS
assessment tool.
Response: CMS appreciate commenters' support for the proposal and
agrees that the adoption of this AHC item improves consistency with
other provider settings.
Comment: A few commenters noted a concern related to the burden
required to update the OASIS with the replacement of the current
``Transportation'' item.
Response: CMS acknowledges there is a change to the OASIS that will
be required with the modification of the ``Transportation'' item but
there will be sufficient guidance to clarify the correct completion of
the new item. Additionally, the new item does not substantially
increase effort in completing the OASIS tool relative to the current
``Transportation'' item.
After consideration of the public comments we received, we are
finalizing our proposal to modify the current ``Transportation'' item
previously adopted as a standardized patient assessment data element
under the SDOH category beginning January 1, 2027, with the CY 2027 HH
QRP.
E. Proposal To Update OASIS All-Payer Data Collection
In the CY 2023 HH PPS final rule CMS finalized the end of the
temporary suspension of OASIS data collection on non-Medicare/non-
Medicaid HHA patients and the requirement for HHAs to submit all-payer
OASIS data for purposes of the HH QRP, beginning with the CY 2027
Program Year (87 FR 66862 through 66865). Consistent with the two-
quarter phase-in that we typically use when changing data submission
items or requirements, HHAs will have an opportunity to begin
submitting this data for patients discharged between January 1, 2025,
through June 30, 2025, but we will not use that phase-in data to make a
compliance determination. We noted that the new all-payer OASIS data
reporting will be required beginning with the CY 2027 program year,
with data for that program year required for patients discharged
between July 1, 2025, and June 30, 2026. For HHAs to operationalize
this requirement, CMS determined that further details will be needed to
clarify OASIS data collection and submission for non-Medicare/non-
Medicaid patients. The CY23 final rule referenced discharge as the time
point to identify when all-payer data collection will start but did not
address the other data collection time points.
To clarify expectations around the start of OASIS all-payer data
collection we proposed to establish a change from data collection
beginning with the OASIS discharge time point to using the start of
care (SOC) time point. The SOC is the first assessment that can be
submitted for a non-Medicare/non-Medicaid patient, either on or after
January 1, 2025, for the phase-in (voluntary) period or on or after
July 1, 2025, for the mandatory period. We will use the M0090 ``Date
Assessment Completed'' date of the SOC assessment to identify non-
Medicare/non-Medicaid patient assessments in the phase-in and mandatory
periods.
Using the SOC time point ensures HHA characteristics (for example,
Agency's CMS Certification Number (CCN), State and Branch ID#s) and
patient-specific information (for example, patient name, State, zip
code, Social Security number (SSN), gender, date of birth (DOB),
payment source) are collected for each non-Medicare/non-Medicaid
patient assessment at the start
[[Page 88440]]
of all-payer OASIS data collection. After these are collected and
submitted with the SOC assessment, they are resubmitted with each
subsequent OASIS submission (that is, ROC, recert, other follow up,
transfer, discharge, death at home). Using the SOC time point will
ensure that baseline data is available for use in calculating or risk-
adjusting quality measures, and in linking to prior OASIS assessments.
The data will also be available for matching purposes to support use of
the current quality assessments only (QAO) metric used in the annual
payment update (APU) calculation.
The Medicare Prescription Drug, Improvement, and Modernization Act
of 2003 (Pub. L. 108-173; December 8, 2003) finalized the temporary
suspension of OASIS requirements for collection of data on non-
Medicare/non-Medicaid patients.\75\ The CY 2023 HH PPS final rule ends
this temporary suspension of OASIS data collection for non-Medicare/
non-Medicaid patients. CMS is providing a voluntary phase-in period for
HHAs to begin OASIS data collection and submission for all non-
Medicare/non-Medicaid patients.
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\75\ www.congress.gov/108/statute/STATUTE-117/STATUTE-117-Pg2066.pdf.
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Prior to January 1, 2025--Per the HH CoPs and OASIS
guidance, HHAs are required to collect and submit OASIS assessments for
all skilled Medicare and/or Medicaid patients, with some exemptions.
OASIS assessment time points include start of care, resumption of care,
recertification, other follow-up, transfer, discharge, and death at
home. The criteria for patients exempt from OASIS data collection are
not changing and will continue to include patients under 18, patients
receiving maternity services, and patients receiving only personal
care, housekeeping or chore services.
January 1, 2025, through June 30, 2025--For non-Medicare/
non-Medicaid patients who are not exempt from OASIS data collection,
and who begin receiving home health care services with an OASIS SOC
M0090 date from January 1, 2025, through June 30, 2025, OASIS data
collection and submission are voluntary. When OASIS data collection and
submission are started for a non-Medicare/non-Medicaid patient with the
SOC OASIS assessment, HHAs may but are not required to complete all
subsequent OASIS time point assessments related to the patient's home
health stay (that is, resumption of care, recertification, other follow
up, transfer, discharge, and death at home) including assessments
completed on or after July 1, 2025.
Beginning July 1, 2025--For patients with any pay source
who are not exempt from OASIS data collection, and who begin receiving
home health care services with an OASIS SOC M0090 date on or after July
1, 2025, OASIS data collection and submission to the internet Quality
Improvement Evaluation System (iQIES) are required. This includes the
SOC OASIS as well as any subsequent OASIS time point assessments
relevant to the patient's home health stay (that is, resumption of
care, recertification, other follow up, transfer, discharge, and death
at home).
We invited comment on the proposal to update requirements for OASIS
all-payer data collection beginning January 1, 2025.
Comment: Those who supported the proposal emphasized that a
voluntary phase-in and the use of the start of care date to initiate
all payer submission would provide consistency with how the policy is
implemented. Another commenter noted the resumption of all payer OASIS
data collection and submission aligns policies and reporting across
post-acute care settings and patient subsets and provides a fuller,
more accurate representation of home health quality of care for use in
beneficiary health care decision making, policy development, and health
services research.
Response: CMS thanks commenters for providing feedback on the
proposal. The goal of implementing all-payer data collection and
submission is to facilitate a better understanding of quality of care
provided to patients in Medicare-certified home health and post-acute
care settings in general, regardless of payor source.
Comment: Some commenters acknowledged the importance of OASIS all-
payer data but expressed concerns about how CMS will use the data in
the HHQRP and the HHVBP.
Response: CMS acknowledges concerns about how the data collected
with the implementation of all-payer data collection and submission
will be utilized. CMS expects to use this data to gain a better
understanding of the overall quality of care provided by Medicare-
certified providers and the patients they serve, regardless of payor
source.
Comment: Some commenters raised questions about how the all-payer
policy would be implemented for patients without any payor source and
in other scenarios such as how to complete OASIS for non-Medicare
patients already on service, or that transfer to the hospital, or for
payer changes. One commenter asked about whether PDGM rules for a 60-
day episode and 30-day payment period apply to all payers.
Response: CMS thanks commenters for the questions regarding
implementation of all-payer data collection and submission. All-payer
data collection and submission is intended for any patient receiving
skilled home health care service that would meet requirements for an
OASIS assessment. As noted in the proposal, data collection at time
points outside of start of care for patients already on home health
care service before the implementation of mandatory all-payer data
collection and submission will not be required. The implementation of
mandatory all-payer data collection and submission is also not intended
to impact payment policy.
Comment: Another commenter expressed concern about the implications
for patient privacy, particularly for patient care funded by non-
government payers.
Response: CMS acknowledges privacy concerns with the implementation
of the all-payer data collection and submission. Data security and
patient privacy are priorities for CMS. CMS intends to follow all
Federal guidelines related to data security and patient privacy.
Comment: Commenters who opposed the proposal most often raised the
issue of the burden of implementing the new policy. One commenter noted
that deep labor shortages, particularly for nurses and home health
aides, would impact availability of staff to meet the expanded data
collection requirement. Some raised concerns about the new policy's
effect on reimbursement and that completing all required home health
admissions could become more difficult.
Response: Related to the concern about burden, as noted when the
all-payer data collection policy was first proposed, CMS expects that
the six-month voluntary submission period will allow providers the time
and experience to effectively implement the new policy. As clinical
assessment of all patients is an important standard, CMS anticipates
the OASIS assessment will replace other assessment tools currently in
place for non-Medicare/Medicaid payor sources.
After consideration of the public comments we received, we are
finalizing our proposal to update requirements for OASIS all-payer data
collection beginning January 1, 2025.
[[Page 88441]]
F. Form, Manner, and Timing of Data Submission Under the HH QRP
1. Background
We refer readers to the regulatory text at Sec. 484.45 for
information regarding the current policies for reporting HH QRP data.
2. Proposed Reporting Schedule for the Submission of SDOH Assessment
Items Beginning January 1, 2027, With the CY 2027 HH QRP
As discussed in section III.D.3. of this final rule, we proposed to
adopt four new items as standardized patient assessment data elements
in the SDOH category: one living situation item, two food items, and
one utilities item, and to modify the ``Transportation'' item in
section III.D.5. of this rule beginning January 1, 2027, with the CY
2027 HH QRP.
We proposed that HHAs will be required to report these new
assessment items using the OASIS beginning with patients admitted on
January 1, 2027, for purposes of the CY 2027 HH QRP program year.
Starting in CY 2027, HHAs will be required to submit data for the
entire calendar year, corresponding to the CY 2028 HH QRP program year
with respect to OASIS submission requirements.
We also proposed that HHAs that submit the living situation, food,
utilities, and transportation items with respect to start or resumption
of care will be deemed to have submitted those assessment items with
respect to both start or resumption of care and discharge, because it
is unlikely that the assessment of those items at start or resumption
of care will differ from the assessment of the same item at discharge.
A draft of the proposed assessment items is available in the Downloads
section of the HH QRP Quality Measures web page at https://www.cms.gov/medicare/quality/home-health/home-health-quality-measures. As we noted
in section III.D.5 of this final rule, we continue to assess the
implementation of the new items in the SDOH category, including A1250.
``Transportation'', as part of our routine assessment item and measure
monitoring work. We analyzed the data home health agencies reported
from January 1, 2023, through September 30, 2023 (Q1 2023-Q3 2023) and
found that home health patient responses do not significantly change
from admission to discharge. Specifically, the proportion of patients
who responded ``Yes'' to the A1250 ``Transportation'' item at start of
care or resumption of care (8.87 percent) versus at discharge to
community (5.71 percent) differed by only 3.16 percentage points during
this period. We find these results convincing, and therefore are
proposing to require HHAs to submit the proposed item,
``Transportation'', at the start and resumption of care only.
We invited public comment on our proposal to collect data on the
following items in the SDOH category start or resumption of care
beginning January 1, 2027 with the CY 2027 HH QRP program year: one
Living Situation item as described in section III.D.3.a of this final
rule; two Food items, as described in section III.D.3.b of this final
rule; one Utilities item as described in section III.D.3.c of this
final rule; and one ``Transportation'' item as described in section
III.D.5 of this final rule.
A majority of commenters supported the proposal. Supportive
comments included that SDOH are important and relevant to home health,
and that interoperability is important. Some commenters noted that
their home health agencies are already collecting this information and
have established community partnerships to address SDOH.
Response: CMS appreciate commenters' support for the proposal and
agrees that SDOH are important and relevant to home health. CMS also
agrees that interoperability is important to measure quality and
advance health equity, and thus we propose data elements that are
standardized across the PAC settings. CMS appreciates that some home
health agencies are already addressing SDOH by collecting information
and working with community partners.
Commenters that supported the proposal expressed concerns about
implementation including that the vendors be provided enough time to
prepare for the changes, that home health agencies be provided time and
resources to educate staff on the changes, that OASIS revisions are too
frequent and burdensome for agencies and that implementation of the
proposal would be burdensome. Some commenters cautioned that SDOH needs
identified must be addressed, and one suggested that CMS should provide
additional reimbursement to HHAs for the follow-up required to address
identified needs.
Response: CMS acknowledge the commenters' concerns and appreciate
their suggestions. CMS is proposing the SDOH data elements in the CY
2025 HH PPS proposed rule with an effective date to begin collection
via the OASIS instrument of January 1, 2027, to ensure that vendors and
HHAs have sufficient time to prepare for implementation. CMS will make
training available to HHAs on the changes to the OASIS, consistent with
education and training resources for previous revisions to the OASIS
instrument. CMS acknowledges that revisions to the OASIS require time
and effort and resources for providers to prepare for the changes and
is committed to proposing revisions to the OASIS no more frequently
than every two years. CMS agrees that patients' needs should be
addressed by the HHA, consistent with applicable rules and regulations,
although we note that the proposal does not specify a requirement for
how HHAs may address patients' needs.
Commenters that did not support the proposal acknowledged that SDOH
information is important but adding four data elements to the OASIS and
modifying a fifth would be burdensome. One commenter noted that
revisions to the OASIS are too frequent and recommended that CMS limit
revisions to intervals of no less than four years. One commenter
suggested that the proposed living situation data element is
duplicative of information that is already collected and recommended
that the look-back for the utilities data element be changed from 12
months to three to capture more reliable, valid, and timely
information. Another commenter encouraged CMS to consider using SDOH
information as part of the risk-adjusted outcome quality measures. A
commenter stated the proposal is not aligned with health-related social
needs reporting requirements across the care continuum and that further
testing and refinement are needed to ensure the proposed items work as
intended in this setting. This commenter noted that CMS' evaluation of
the AHC HRNS screening tool in the AHC Model showed that screening did
not appear to increase beneficiary connection to community resources or
health-related social need resolution, and they recommended CMS conduct
further testing and developing clearer implementation guidance before
adopting the proposed data elements in the HHQRP.
Response: We acknowledge the commenters' concerns and appreciate
their suggestions. As previously stated, CMS acknowledges that
revisions to the OASIS require time and effort and resources for
providers to prepare for the changes and we are committed to proposing
revisions to the OASIS no more frequently than every two years. CMS
disagrees that the proposed Living Situation data element is
duplicative of information that is already collected because it
addresses housing insecurity, which is not part of the information
captured in the current OASIS. CMS
[[Page 88442]]
believes that the proposed data elements are not setting-specific, and
that the testing conducted in their development has been sufficiently
rigorous that we can adopt the data elements into the OASIS and the
other PAC instruments with confidence.
After consideration of the public comments we received, we are
finalizing our proposal to adopt four new items as standardized patient
assessment data elements in the SDOH category: one living situation
item, two food items, and one utilities item, and to modify the
``Transportation'' item in section III.D.5. of this rule beginning
January 1, 2027, with the CY 2027 HH QRP.
G. HH QRP Quality Measure Concepts Under Consideration for Future
Years--Request for Information (RFI)
We sought input on the importance, relevance, appropriateness, and
applicability of each of the following concepts under consideration for
future years in the HH QRP: vaccinations, depression, pain management,
and substance use disorders. In the CY 2024 HH PPS proposed rule (88FR
43738 through 43740), we published a request for information (RFI) (CY
2024 RFI) on a set of principles for selecting and prioritizing HH QRP
measures, identifying measurement gaps, and suitable measures for
filling these gaps. Within this rule, we also sought input on data
available to develop measures, approaches for data collection,
perceived challenges or barriers, and approaches for addressing
identified challenges. We refer readers to the CY 2024 HH PPS final
rule (88 FR 77772 through 77774) for a summary of the public comments
we received in response to the RFI.
Subsequently, our measure development contractor convened a TEP on
December 15, 2023, to obtain input on the future measure concepts that
could fill the measurement gaps identified in our CY 2024 RFI.\76\ The
TEP discussed the alignment of PAC and Hospice measures with CMS'
``Universal Foundation'' of quality measures.\77\ The Universal
Foundation aims to focus provider attention, reduce burden, identify
disparities in care, prioritize development of interoperable, digital
quality measures, allow for comparisons across programs, and help
identify measurement gaps.
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\76\ The Post-Acute Care (PAC) and Hospice Quality Reporting
Program Cross-Setting TEP summary report will be published in early
summer or as soon as technically feasible. IRFs can monitor the
Partnership for Quality Measurement website at https://mmshub.cms.gov/get-involved/technical-expert-panel/updates for
updates.
\77\ Centers for Medicare & Medicaid Services. Aligning Quality
Measures Across CMS--the Universal Foundation. November 17, 2023.
https://www.cms.gov/aligning-quality-measures-across-cms-universal-foundation.
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In consideration of the feedback, we received from interested
parties through these activities, we are seeking input on four concepts
for the HH QRP. One is a composite of vaccinations,\78\ which could
represent overall immunization status of patients such as the Adult
Immunization Status measure \79\ in the Universal Foundation. A second
concept on which we sought feedback is the concept of depression for
the HH QRP, similar to the Clinical Screening for Depression and
Follow-up measure \80\ in the Universal Foundation. Third, we sought
feedback on the concept of pain management. Finally, we seek input on a
measure concept relating to substance use disorders, such as the
Initiation and Engagement of Substance Use Disorder Treatment measure
\81\ included in the Universal Foundation of Quality Measures.
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\78\ A composite measure can summarize multiple measures through
the use of one value or piece of information. More information can
be found at https://www.cms.gov/medicare/quality-initiatives-patient-assessment-instruments/mms/downloads/composite-measures.pdf.
\79\ CMS Measures Inventory Tool. Adult immunization status
measure found at https://cmit.cms.gov/cmit/#/FamilyView?familyId=26.
\80\ Preventative Care and Screening: Screening for Depression
and Follow Up measure found at https://qpp.cms.gov/docs/QPP_quality_measure_specifications/CQM-Measures/2023_Measure_134_MIPSCQM.pdf.
\81\ Initiation and Engagement of Substance Use Disorder
Treatment measure found at https://ecqi.healthit.gov/ecqm/ec/2023/cms0137v11.
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While we will not be responding to specific comments in response to
the RFI in this final rule, we invited public comment on these four
measure concepts and intend to use this input to inform future measure
development efforts.
1. Composite Vaccination Concept
Some commenters supported a composite vaccination measure concept,
while most commenters did not support this concept. Commenters in
support of this measure concept noted that the measure would support
increased immunization rates. One commenter noted that a composite
vaccination measure would help bring vaccinations to homebound
individuals, reducing access barriers, and may encourage home health
agencies to have conversations with vaccine-skeptical individuals to
share the benefits of vaccinations in general or one specific
vaccination. This commenter went on to suggest that a focus on overall
vaccination status is necessary for beneficiaries who may have long
term health needs, chronic conditions and vulnerability to infection
and disease. Lastly, the commenter suggested that a holistic approach
is more equitable in that it can ensure individuals from all
backgrounds are more likely to get a comprehensive set of vaccines.
Several commenters expressed concerns about a composite vaccination
concept, despite supporting this as a measure concept. One suggested
that CMS revise the way rates are measured and reported so that, for
example, a percentage of beneficiaries who are offered a vaccination
does not convey a false impression of success. Another commenter
suggested that CMS should ensure vaccines and combination products are
accessible to providers and beneficiaries, and noted that home health
agencies may have issues finding information on beneficiary vaccination
status, nurses may not have time to administer vaccines, vaccines are
costly to home health agencies, and that transport of vaccines
requiring cold-chain and storage may present operational problems for
home health staff who must spend hours a day on the road. Among the
commenters that did not support a composite vaccination concept, most
shared additional details. Most noted that such a measure would be
burdensome to home health agencies because patient recall may be
unreliable, so the home health agencies who do not have ready access to
information about patients' vaccination status would have to conduct
extensive review of patient's medical records to find this information.
Some commenters referred to the December 2023 Post-Acute Care (PAC) and
Hospice Quality Reporting Program Technical Expert Panel, noting that
many provider participants did not support a vaccination measure
concept. One commenter suggested patients might consider their
vaccination status sensitive information and be hesitant to share their
status with the home health staff. One commenter noted multiple issues
home health agencies might encounter in implementation of such a
measure including the expense of vaccines, and of ensuring safe
vaccination of homebound patients, and the expense of controls and
equipment needed to maintain compliance with controlled temperature
chains required for vaccines, and that once a vial is opened the entire
vial needs to be used in a specified short time frame that home health
providers may not be able to achieve, thus wasting multiple doses. A
final concern this commenter expressed was that providers who served
populations who believe in
[[Page 88443]]
vaccination would have an advantage over providers who serve
populations with vaccine hesitancy.
2. Depression Concept
The majority of commenters supported the depression measure
concept, with one commenter noting that home health already collects
this data, and another commenter noting that patients who need home
healthcare may be more likely to develop depression due to their
diagnoses, chronic pain or lack of independence, and that identifying
risk early and implementing interventions can improve patient outcomes
and quality of life. A commenter noted that depression can affect
patients' ability to care for themselves and provided the example of
evidence-based occupational therapy interventions to directly impact
depression such as engaging patients in activities that promote
participation in everyday life, which can help build resilience,
positive psychological and social functioning and the ability to adapt
to change and cope with life challenges.
Some commenters did not support the measure concept for depression.
One commenter noted that home health clinicians already complete the
Patient Health Questionnaire--9 (PHQ-9) and are responsible for follow-
up with the provider for patients that screen positive. Several
commenters pointed out that home health agencies are limited in options
or are not set up to address depression. A few commenters noted in
addition that significant resources and infrastructure would be
required for home health agencies to address depression, and that home
health patients are often discharged before any outcomes from community
referrals can be realized. These commenters also suggested that home
health would be limited to a referral to the patient's primary care
physician for further interventions, noting that home health agencies
cannot be expected to provide interventions aimed at directly treating
depression, such as pharmacological interventions or other follow-up
that involves long-term planning.
3. Pain Management Concept
Comments in support of a pain management measure concept mentioned
the relevance of pain management for home health, and the impact pain
has on all aspects of patients' lives. Several commenters noted that
CMS retired a pain management measure from the HHQRP in 2020 due to the
opioid crisis and suggested that, given this context, clarification
about the intent of reintroducing this type of measure would be
helpful.
4. Substance Use Disorders Concept
Some commenters expressed support for the substance use disorder
(SUD) measure concept, while most did not support this concept. One
commenter shared that their home health agency has been seeing more
patients with this condition, noting that generally this population is
rejected by home health agencies due to increased risk of
hospitalization and the tendency not to make progress quickly. The
commenter encouraged CMS to explore collection of SUD information and
use of this information for risk-adjusted payments that would support
additional home health resources. Most commenters did not support the
SUD concept, with most of those who do not support going on to note
that management of SUD disorders is out of scope for home health or
that home health agencies are not set up to manage SUD, which requires
specially trained clinicians. One of these commenters noted that
because there is no data source currently available, adding a SUD
measure would add burden to home health agencies.
Response: We appreciate the input provided by commenters. While we
will not be responding to specific comments submitted in response to
the RFI in this final rule, we intend to use this input to inform
future measure development efforts.
IV. The Expanded Home Health Value-Based Purchasing (HHVBP) Model
A. Background
As authorized by section 1115A of the Act and finalized in the CY
2016 HH PPS final rule (80 FR 68624), the Center for Medicare and
Medicaid Innovation (Innovation Center) implemented the Home Health
Value-Based Purchasing (HHVBP) Model (``original Model'') in nine
states on January 1, 2016. The design of the original HHVBP Model
leveraged the successes and lessons learned from other CMS value-based
purchasing programs and demonstrations to shift from volume-based
payments to a model designed to promote the delivery of higher quality
care to Medicare beneficiaries. The specific goals of the original
HHVBP Model were to--
Provide higher incentives for better quality care with
greater efficiency;
Study new potential quality and efficiency measures for
appropriateness in the home health setting; and
Enhance the current public reporting process.
The original HHVBP Model resulted in an average 4.6 percent
improvement in HHAs' total performance scores (TPS) and an average
annual savings of $141 million to Medicare without evidence of adverse
risks.\82\ The evaluation of the original Model also found reductions
in unplanned acute care hospitalizations and skilled nursing facility
(SNF) stays, resulting in reductions in inpatient and SNF spending. The
U.S. Secretary of Health and Human Services determined that expansion
of the original HHVBP Model will further reduce Medicare spending and
improve the quality of care. In October 2020, the CMS Chief Actuary
certified that expansion of the HHVBP Model will produce Medicare
savings if expanded to all States.\83\
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\82\ https://innovation.cms.gov/data-and-reports/2020/hhvbp-thirdann-rpt.
\83\ https://www.cms.gov/files/document/certificationhome-health-value-based-purchasing-hhvbpmodel.pdf.
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On January 8, 2021, CMS announced the certification of the HHVBP
Model for expansion nationwide, as well as the intent to expand the
Model through notice and comment rulemaking.\84\
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\84\ https://www.cms.gov/newsroom/press-releases/cms-takes-action-improve-home-health-care-seniors-announces-intent-expand-home-health-value-based.
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In the CY 2022 HH PPS final rule (86 FR 62292 through 62336), we
finalized the decision to expand the HHVBP Model to all Medicare
certified HHAs in the 50 States, territories, and District of Columbia
beginning January 1, 2022. CY 2022 was a pre-implementation year. The
first payment year is CY 2025 based on the first performance year which
was CY 2023. Our codified policies for the expanded HHVBP Model can be
found in our regulations at 42 CFR part 484, subpart F, Sec. Sec.
484.300 through 484.375.
B. Request for Information on Future Performance Measure Concepts for
the Expanded HHVBP Model
The expanded HHVBP Model provides an opportunity to examine a broad
array of quality measures that address critical gaps in care. A
comprehensive review of the Value-Based Purchasing (VBP) experience,
conducted by the Office of the Assistant Secretary for Planning and
Evaluation (ASPE), identified several objectives for HHVBP
measures.\85\ The recommended objectives emphasize measuring patient
outcomes and functional status; appropriateness of care; and incentives
for providers to build infrastructure to
[[Page 88444]]
facilitate measurement within the quality framework. The study
identified the following seven objectives which served as guiding
principles for the development of performance measures used in the
original HHVBP Model:
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\85\ U.S. Department of Health and Human Services. Office of the
Assistant Secretary for Planning and Evaluation (ASPE) (2014).
Measuring Success in Health Care Value-Based Purchasing Programs.
Cheryl L. Damberg et al. on behalf of RAND Health.
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Use a broad measure set that captures the complexity of
the HHA service provided.
Incorporate the flexibility to include Improving Medicare
Post-Acute Care Transformation (IMPACT) Act of 2014 measures that are
cross-cutting amongst post-acute care settings.
Develop second-generation measures of patient outcomes,
health and functional status, shared decision making, and patient
activation.
Include a balance of process, outcome, and patient
experience measures.
Advance the ability to measure cost and value.
Add measures for appropriateness or overuse.
Promote infrastructure investments.
A central driver of the process used to select measures for the
original HHVBP Model was incorporating innovative thinking from the
field while simultaneously drawing on evidence-based literature and
documented best practices. Broadly, measures were selected based on
their impact on care delivery and to support the goal of improving
health outcomes, quality, safety, efficiency, and experience of care
for patients.
As we continue to leverage our value-based purchasing initiatives
to improve the quality of care furnished across healthcare settings, we
are interested in considering new performance measures for inclusion in
the expanded HHVBP Model. We specifically request public comments on
several specific performance measures as well as general comments on
other future model concepts that may be considered for inclusion in the
expanded HHVBP Model. These measures are based on input from the HHVBP
Technical Expert Panel (TEP), which met in Fall 2023. The TEP included
experts from the home health setting specializing in quality assurance,
patient advocacy, clinical work, and measure development. The meeting
included a discussion of potential measures for inclusion in the
expanded HHVBP Model. These include a combination of new measure
concepts (for example, family caregiver measure), already developed
measures that are not currently in the measure set for the expanded
HHVBP Model (for example, Medicare Spending per Beneficiary (MSPB)),
and new OASIS-based and claims-based measures.
Family caregiver measure: Generally, TEP members were very
supportive of future development of a family caregiver measure. One TEP
member encouraged CMS to ``think outside the box'' to find ways of
including the caregiver's voice in quality reporting. The TEP discussed
OASIS items that provide information related to the patient's caregiver
status. While acknowledging that the focus of the Medicare home health
benefit is the patient, not the caregiver, they recommended that CMS
consider the caregiver as a partner and measure caregivers' needs and
not just the needs as they relate to the beneficiary. The TEP noted
that the caregivers are often the reason patients are even able to be
at home (vs. receiving care in the more costly nursing home setting).
CMS intends to develop a patient-reported outcome performance measure
(PRO-PM) to assess caregiver burden in the Guiding an Improved Dementia
Experience (GUIDE) Model that may be a useful example for caregiver
measures that may be developed for HHVBP.\86\ Creating one or more
measures based on an HHA's ability to meet caregiver needs will permit
measurement of changes in caregiver quality-of-life.
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\86\ For more details on the GUIDE Model, see the Model web page
(https://www.cms.gov/priorities/innovation/innovation-models/guide).
For more details on the caregiver measures being developed for
GUIDE, see the Request for Applications (https://www.cms.gov/files/document/guide-rfa.pdf).
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Falls with major injury (claims-based): Several TEP
members suggested that CMS explore a claims-based measure of falls with
major injury. One TEP member noted an Office of Inspector General (OIG)
study that found that HHAs failed to report 55 percent of falls leading
to major injuries and hospitalizations on their OASIS data.\87\ While
it may not be possible to identify all falls from claims data, a
claims-based measure may be more accurate, although, as with other
claims-based measures, data will only be available for Fee for Service
patients. Due to the high rate of non-reporting, the OASIS-based falls
measure may not provide accurate information about the incidence of
these falls.
---------------------------------------------------------------------------
\87\ https://oig.hhs.gov/oei/reports/OEI-05-22-00290.asp.
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Medicare Spending per Beneficiary (MSPB): The TEP also
discussed potentially adding the MSPB measure to the HHVBP applicable
measure set. This cross-setting measure is part of the Home Health
Quality Reporting Program and is currently publicly reported on Care
Compare. MSPB may be a valid tool for measuring the value of the care
that HHAs provide that may be appropriate for use in the expanded HHVBP
Model. The measure will provide information on the efficiency of home
health providers, as measured by Medicare payments for their patients.
Function measures to complement existing cross-setting
Discharge (DC) function measure: Several TEP members raised a concern
that the measure does not include the full self-care/activities of
daily living elements (for example, bathing, dressing), which they
noted as critically important for home health patients and caregivers.
Another TEP member indicated that patients often already have capacity
to do things like roll and sit up when they enter home health care but
may not be able to bathe or get dressed without assistance. The TEP
emphasized the importance of functional cognition, which is included in
OASIS item GG0100 as part of prior functional status but is not
included as part of the current DC function measure.
As we continue to explore refinements to the expanded HHVBP Model,
we requested comments related to adding the potential performance
measures described previously to the HHVBP Measure Set. We also
requested comments about other potential performance measures that we
should consider for the expanded HHVBP Model.
We received the following comments:
Comments: We received generally positive stakeholder reaction to
the request for information on future measure concepts for the expanded
HHVBP Model. Commenters also expressed concerns about each of the
potential measures.
Commenters were generally supportive of the caregiver burden
assessment measure concept, but expressed concerns about how to
accurately identify caregivers, how the data would be utilized, and
whether the data would be used to determine home care eligibility.
Commenters generally supported the proposed measures to complement
the DC function measure, particularly focusing on self-care/ADL
measures. Commenters suggested that CMS consider using only one set of
assessment items to measure function, as using a single set of function
items would allow HHAs to focus on coding accuracy and avoid the
confusion associated with multiple assessment categories.
The MSPB measure received mixed comments. Supporters of this
measure believe that it provides information on the efficiency of home
health providers and would help identify the costs associated with the
delivery of high-
[[Page 88445]]
quality nursing services. Comments that were critical of the measure
stated that the measure's focus on spending rather than quality could
create incentives to omit needed care services.
The falls with major injury measure received mixed comments. Some
commenters noted that it is claims-based but noted that the measure
includes only Medicare fee-for-service (FFS) patients. Others stated
that falls are outside of a home health agency's control given that
home health services are provided on an intermittent basis.
Some commenters offered suggestions for other possible measures to
include in the expanded HHVBP Model, including advance care planning,
access to palliative care services, timely and appropriate referral to
hospice, interoperability, the average time between referral and
initiation of care, follow-up care coordination, and meaningful
measures for patients with chronic conditions that are not expected to
improve.
Some commenters expressed concerns about burden and duplicative
reporting with the QRP measures. One commenter suggested that CMS
transition to using data sources that are not easily manipulated, such
as claims data and patient experience responses instead of OASIS-based
measures.
Response: We appreciate the comments that we received on the
request for information. We are not responding to individual specific
comments submitted in response to the RFI in this final rule, but these
comments will be reviewed with stakeholders and the HHVBP TEP that
provide input when considering changes to the HHVBP applicable measure
set. Any changes to the applicable measure set will be made through
future rulemaking.
C. Future Approaches to Health Equity in the Expanded HHVBP Model
In alignment with the President's Executive orders \88\ to support
underserved communities, CMS is working to advance health equity by
designing, implementing, and operationalizing policies and programs
that support health for all the people served by our programs,
eliminating avoidable differences in health outcomes experienced by
people who are disadvantaged or underserved, and providing the care and
support that our enrollees need to thrive. As we continue to leverage
our value-based purchasing initiatives to improve the quality of care
furnished across healthcare settings, we are interested in exploring
the role of health equity in creating better health outcomes for all
populations in our programs and models. In the CY 2023 HH PPS final
rule, we stated that we are committed to achieving equity in health
care outcomes for beneficiaries by supporting providers in quality
improvement activities to reduce health disparities, enabling
beneficiaries to make more informed decisions, and promoting provider
accountability for health care disparities.\89\
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\88\ Executive Orders 13985, ``Advancing Racial Equity and
Support for Underserved Communities Through the Federal
Government,'' and 14091, ``Executive Order on Further Advancing
Racial Equity and Support for Underserved Communities Through The
Federal Government.''
\89\ https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/QualityInitiativesGenInfo/Downloads/CMS-Quality-Strategy.pdf.
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The CY 2023 HH PPS rule (87 FR 66874 through 66876) included an
RFI, ``Future Approaches to Health Equity in the expanded HHVBP
Model.'' The RFI requested feedback on policy changes that we should
consider on the topic of health equity and specific actions the
expanded HHVBP Model should take to address healthcare disparities and
advance health equity. We specifically requested comments on whether we
should consider incorporating adjustments into the expanded HHVBP Model
to reflect the varied patient populations that HHAs serve around the
country and tie health equity outcomes to the payment adjustments we
make based on HHA performance under the Model. One possible approach is
to make adjustments at the measure level such as stratification by
which additional points are provided to HHAs that provide care to
underserved communities (for example, based on dual status or other
metrics).\90\ Payment adjustments could also be incorporated at the
scoring level in forms such as modified benchmarks, points adjustments,
or modified payment adjustment percentages (for example, peer
comparison groups based on whether the HHA includes a high proportion
of dual eligible beneficiaries). We requested commenters' views on
which of these adjustments, if any, will be most effective for the
expanded HHVBP Model. Commenters shared that relevant data collection
and appropriate stratification are very important in addressing any
health equity gaps. While not suggesting specific approaches, these
commenters noted that CMS should consider potential stratification of
health outcomes. Stakeholders, including providers, also shared their
strategies for addressing health disparities, noting that this was an
important commitment for many health provider organizations.
---------------------------------------------------------------------------
\90\ CMS defines an ``underserved community'' as ``individuals
who share a particular characteristic--demographic, geographic
(urban or rural), or other factor--that results in them being
systemically denied full opportunity to participate in aspects of
economic, social, and civic life. (Source: https://www.cms.gov/priorities/innovation/key-concepts/health-equity)
---------------------------------------------------------------------------
Several previous studies have found that historically underserved
communities, including Medicare beneficiaries who are dually enrolled
in Medicaid, live in a low-income neighborhood, or are Black, receive
lower quality home health care relative to communities not historically
underserved.\91\ Previous studies have found that patients from
underserved communities have higher rates of hospital readmissions, are
more likely to be discharged without functional improvement,\92\ are
less likely to receive care from high-quality HHAs, and have worse
patient-reported care experiences. Improving the quality of care for
these underserved communities is an important quality improvement goal
under the expanded HHVBP Model.
---------------------------------------------------------------------------
\91\ Joynt Maddox, K.E., Chen, L.M., Zuckerman, R., & Epstein,
A.M. (2018). Association Between Race, Neighborhood, and Medicaid
Enrollment and Outcomes in Medicare Home Health Care. Journal of the
American Geriatrics Society, 66(2), 239-246. https://doi.org/10.1111/jgs.15082.
\92\ Fashaw-Walters, S.A., Rahman, M., Jarr[iacute]n, O.F., Gee,
G., Mor, V., Nkimbeng, M., & Thomas, K.S. (2023). Getting to the
root: Examining within and between home health agency inequities in
functional improvement. Health Services Research. https://doi.org/10.1111/1475-6773.14194.
---------------------------------------------------------------------------
Disparities in health care outcomes may result from differences
within HHAs (for example, patients from underserved communities within
certain HHAs service areas are less likely to have good outcomes, such
as functional improvement, discharge to community, and avoiding
readmission to a hospital). These disparities may also result from
differences across HHAs. That is, patients from underserved communities
are less likely than other patients to receive care from good quality
HHAs and thus at higher risk of poor outcomes.\93\ The literature is
mixed on the sources of these disparities. One study found that
differences in readmission rates for underserved communities were
primarily within, rather than across, HHAs.\94\ Another study found
that
[[Page 88446]]
differences both within and across HHAs contribute to the overall
disparities in patients' functional improvement.\95\ This same study
found that roughly half of observed individual-level disparities in the
use of high-quality home health agencies was attributable to
neighborhood-level factors.\96\ Differences in care experience for
underserved communities were explained by differences both within and
across HHAs, but the within-HHA variations more often accounted for a
greater proportion of the differences.\97\
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\93\ Fashaw-Walters, S.A., Rahman, M., Gee, G., Mor, V., White,
M., & Thomas, K.S. (2022). Out Of Reach: Inequities in the Use of
High-Quality Home Health Agencies. Health Affairs (Project Hope),
41(2), 247-255. https://doi.org/10.1377/hlthaff.2021.01408.
\94\ Joynt Maddox, K.E., Chen, L.M., Zuckerman, R., & Epstein,
A.M. (2018). Association Between Race, Neighborhood, and Medicaid
Enrollment and Outcomes in Medicare Home Health Care. Journal of the
American Geriatrics Society, 66(2), 239-246. https://doi.org/10.1111/jgs.15082.
\95\ Fashaw-Walters, S.A., Rahman, M., Jarr[iacute]n, O.F., Gee,
G., Mor, V., Nkimbeng, M., & Thomas, K.S. (2023). Getting to the
root: Examining within and between home health agency inequities in
functional improvement. Health Services Research. https://doi.org/10.1111/1475-6773.14194.
\96\ Fashaw-Walters SA, Rahman M, Gee G, Mor V, White M, Thomas
KS. Out Of Reach: Inequities In The Use Of High-Quality Home Health
Agencies. Health Aff (Millwood). 2022 Feb;41(2):247-255. doi:
10.1377/hlthaff.2021.01408. PMID: 35130066; PMCID: PMC8883595.
\97\ Joynt Maddox, K.E., Chen, L.M., Zuckerman, R. and Epstein,
A.M. (2018), Association Between Race, Neighborhood, and Medicaid
Enrollment and Outcomes in Medicare Home Health Care. J Am Geriatr
Soc, 66: 239-246. https://doi.org/10.1111/jgs.15082.
---------------------------------------------------------------------------
We have been exploring several potential approaches for integrating
health equity concepts into the expanded HHVBP Model. Considerations
for evaluating these approaches include the following:
Effectiveness: Does the approach further the model test?
What will its impact on underserved communities be?
Feasibility: How long will it take to implement the
approach? Are the necessary data currently being collected? How many
HHAs will be included?
Reliability: Does the approach allow for reliable
measurement of health equity within HHAs?
Alignment: Is this approach aligned with other Medicare
quality and VBP Programs?
D. Social Risk Factors
As part of our work developing potential equity measures, we are
exploring potential definitions to use for defining historically
underserved communities. Building on feedback from other VBP proposals,
our analyses have focused on three potential social risk factors dual
eligible status (DES), Area Deprivation Index (ADI), and Medicaid as
sole payment source that can serve as a proxy to identify the
underserved. Note that we also examined low-income subsidy (LIS) as a
potential measure of equity but did not include it in further analyses,
because the correlation for the DES proportion and the LIS eligibility
proportion is above 0.98. We also plan to assess disparities between
rural and urban home health providers and patients when analyzing
social risk factors, perhaps measuring rurality using the rural-urban
commuting area (RUCA) codes, which classify U.S. census tracts using
measures of population density, urbanization, and daily commuting.
E. Approaches to a Potential Health Equity Adjustment for the Expanded
HHVBP Model
One of the approaches that we have explored is the Health Equity
Adjustment (HEA) that will begin in the Skilled Nursing Facility (SNF)
VBP starting with the FY 2027 program year. The HEA is calculated using
a methodology that considers a SNF's performance on the SNF VBP quality
measures and the proportion of the SNF's residents with DES. Under the
HEA, SNFs that perform well on the SNF VBP quality measures and serve a
higher proportion of residents with DES will earn HEA bonus points are
added to normalized sum of all points a SNF is awarded for each
measure. That sum is then the final SNF Performance Score. More
information on the HEA can be found in the FY 2024 SNF PPS final rule
(88 FR 53304).
We used the HEA methodology that was finalized for the SNF VBP to
simulate how that methodology will impact the expanded HHVBP Model,
using the current measure set for the Model and July 2023 Interim
Performance Report (IPR) data. A limitation of using the July 2023 IPR
data for these analyses is that the TPS for the July 2023 IPRs was
mainly based on achievement points--there are no improvement points for
the claims-based and HHCAHPS measures (due to lags in the data for
these measures) and only small improvement points for the OASIS-based
measures. This may distort results of the equity implications of the
HEA methodology, but we believe that using the more current data is
preferable to using earlier data from prior to the public health
emergency. We used data on the proportion of HHA patients who are
dually eligible at any point during the performance year. The HEA
methodology is fully described in the FY 2024 Skilled Nursing Facility
Prospective Payment System final rule (88 FR 53307 through 53316) that
included--
Determine number of measures for which HHA is a top tier
performer;
Calculate measure performance scaler;
Calculate underserved multiplier;
Calculate HEA Bonus Points; and,
Add HEA Bonus Points to the Normalized Sum of all Points
Awarded for Each Measure.
Using the original TPS and a TPS measure that includes the HEA
bonus points), we simulated payment adjustment amounts with and without
the HEA. We examined the change in payment adjustment percentage for
HHAs based on their dual eligibility status (for example, decile in
terms of percentage of dual eligible patients) and HEA bonus points.
Of the 10,218 active HHAs in the July 2023 quarterly monitoring
analytic file, 9,591 (93.9 percent) have information on the number of
beneficiaries with dual eligible status (DES) that were served by the
HHA in the performance year. Of these HHAs, a TPS was calculated for
7,556. Because the HEA operates by adding points to the TPS, it is only
possible to calculate a TPS including the HEA for these 7,556 HHAs that
had a valid TPS.
We found that the average TPS was higher for HHAs in the highest
decile in terms of share of beneficiaries with DES than for HHAs in any
other decile, before applying the HEA. Applying the HEA primarily
increased TPS for these HHAs that were already high performing, which
increased the gap in the average payment adjustment for these HHAs and
the average payment adjustment for HHAs serving a lower share of
beneficiaries with DES. As a result, we concluded that the HEA using
DES as the proxy for the underserved, as designed for SNF VBP, may not
the best approach for the home health setting. In contrast, the average
TPS was higher for HHAs with a relatively low share of beneficiaries
living in a neighborhood with a high ADI.
We also plan to consider how changes to the definition of the
underserved population, as codified in the SNF VBP regulatory text at
Sec. 413.338(a) will alter the effects of the HEA. In contrast to the
results for dual eligibility, we have found that average TPS was lower
for HHAs serving a high share of beneficiaries living in a neighborhood
with a high ADI. We also found that HHAs in the highest ADI quintile
and highest DES quintile had lower average TPS than other groups. These
results suggest that defining the underserved population using ADI or a
combination of ADI and DES will alter the effects of the HEA. We are
also examining measures of the underserved population that are based on
the percentage of patients with Medicaid as the only payment source.
[[Page 88447]]
F. Other Health Equity Measures
We are also exploring other health equity measures that will more
directly focus on certain disparities. These could be structured in
several different ways:
Measure(s) for particular underserved communities:
Performance on one or more measures for specific underserved
communities (for example, based on DES).
Measure(s) based on within-provider differences in
performance for underserved communities (for example, based on DES):
This type of measure could be based on a single outcome or multiple
outcomes (that is, a composite measure).
Measure(s) based on the worst performing group: Calculate
performance scores for multiple patient groups and set the measure
performance equal to the score for the worst performing group.
We have examined the reportability of these other health equity
measures and have found that several HHAs will not have a sufficient
number of DES beneficiaries for these measures to be calculated. Our
analyses of data used for the July 2023 IPRs found that, overall, 25.4
percent of HHAs served fewer than 12 beneficiaries with DES. This
suggests that roughly one-fourth of HHAs may not serve enough
beneficiaries with DES to calculate a performance measure using only
beneficiaries with DES. The percentage of HHAs that served fewer than
12 beneficiaries with DES or fewer than 12 beneficiaries without DES
was 36.5 percent. Although the reportability for these measures do
exclude some smaller HHAs that serve fewer underserved patients, the
reportability level will be closely aligned to the current SNF VBP HEA.
As the 25.4 percent proportion that are not reported is not that much
more than is currently being excluded on the SNF VBP HEA where SNFs in
the bottom 20 percent of proportion duals are excluded. The impact or
reportability of a potential HHVBP HEA needs more analysis for future
consideration.
Looking forward, we recognize that the exact structure of the
current SNF VBP HEA may not be the most efficient approach for the
unique attributes of care being provided in the home versus care in the
SNF. However, CMS is committed to and working towards the establishment
of an HHVBP HEA that rewards HHAs that provide high quality care to
underserved communities. We will continue to explore the addition of
other measures, using other proxies for identifying the underserved and
possibly adjusting the scoring mechanism to be more effective at
addressing the issue.
As a reminder, we stated in the CY 2024 HH PPS final rule (88 FR
77790), we will gather at least 2 years of performance data, and study
effects of the expanded Model on health equity outcomes before
incorporating any potential changes to the expanded Model regarding
health equity.
We received the following comments:
Comments: Commenters supported our efforts to advance health equity
within the expanded HHVBP Model. Additionally, commenters provided
specific comments, concerns, and requests related to the expanded HHVBP
Model falling into the following themes:
While most commenters were supportive of efforts to incorporate
health equity into the expanded HHVBP Model, some of the supportive
comments also expressed concerns about implementation issues including
provider burden of reporting requirements for equity measures. Some
commenters expressly supported the adoption of the Health Equity
Adjustment (HEA) used in the SNF VBP Program in the expanded HHVBP
Model. Other commenters expressed concern that the expanded HHVBP Model
may exacerbate HHAs' disincentives to treat some patients. One
commenter suggested that we consider ways to incentivize agencies who
care for underserved communities and/or chronically complex patients.
Response: We appreciate the comments that we received and are
taking these comments into account, as appropriate, as we continue to
work to develop policies, quality measures, and measurement strategies
on health equity. We plan to review these comments with the HHVBP TEP
to provide input to inform development of health equity quality
measures.
V. Medicare Home Intravenous Immune Globulin (IVIG) Items and Services
A. General Background
1. Statutory Background
Division FF, section 4134 of the CAA, 2023 added coverage and
payment of items and services related to administration of IVIG in a
patient's home of a patient with a diagnosed primary immune deficiency
disease furnished on or after January 1, 2024. Division FF, section
4134(a) of the CAA, 2023 amended the existing IVIG benefit category at
section 1861(s)(2)(Z) of the Act by adding coverage for IVIG
administration items and services in a patient's home of a patient with
a diagnosed primary immune deficiency disease. This benefit covers
items and services related to administration of IVIG in a patient's
home of a patient with a diagnosed primary immune deficiency disease.
In addition, section 4134(b) of Division FF of the CAA, 2023 amended
section 1842(o) of the Act by adding a new paragraph (8) that
established the payment for IVIG administration items and services.
Under the CAA, 2023 provision, payment for these IVIG administration
items and services is required to be a bundled payment separate from
the payment for the IVIG product, made to a supplier for all items and
services related to administration of IVIG furnished in the home during
a calendar day.
2. Overview
Primary immune deficiency diseases (PIDD) are conditions triggered
by genetic defects that cause a lack of and/or impairment in antibody
function, resulting in the body's immune system not being able to
function in a normal way. Immune globulin (Ig) therapy is used to
temporarily replace some of the antibodies (that is, immunoglobulins)
that are missing or not functioning properly in people with PIDD.\98\
The goal of Ig therapy is to use Ig obtained from normal donor plasma
to maintain a sufficient level of antibodies in the blood of
individuals with PIDD to fight off bacteria and viruses. Ig is
formulated for both intravenous and subcutaneous administration (SCIg).
Clinicians can prescribe either product to the beneficiary with PIDD
according to clinical need and preference, and beneficiaries can switch
between intravenous and subcutaneous administration of Ig.
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\98\ Perez EE, Orange JS, Bonilla F, et al. (2017) Update on the
use of immunoglobulin in human disease: A review of evidence;
Journal Allergy Clin Immunol. 139(3S): S1--S46.
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3. Legislative Summary
Section 642 of the Medicare Prescription Drug, Improvement, and
Modernization Act of 2003 (Pub. L. 108-173) amended section 1861 of the
Act to provide Medicare Part B coverage of the IVIG product for the
treatment of PIDD in the home, but not the items and services involved
with administration.
Section 101 of the Medicare IVIG Access and Strengthening Medicare
and Repaying Taxpayers Act of 2012 (Medicare IVIG Access Act) (Pub. L.
112-242) mandated the establishment, implementation, and evaluation of
a 3-year Medicare Intravenous Immune Globulin (IVIG) Demonstration
Project (the Demonstration) under Part B of title
[[Page 88448]]
XVIII of the Act. The Demonstration was implemented to evaluate the
benefits of providing coverage and payment for items and services
needed for the home administration of IVIG for the treatment of PIDD,
and to determine if it will improve access to home IVIG therapy for
patients with PIDD. The Medicare IVIG Access Act mandated that Medicare
establish a per visit payment amount for the items and services
necessary for the home administration of IVIG therapy for beneficiaries
with specific PIDD diagnoses. The Demonstration did not include
Medicare payment for the IVIG product which continues to be paid under
Part B in accordance with sections 1842(o) and 1847(A) of the Act. The
Demonstration covered and paid a per visit payment amount for the items
and services needed for the administration of IVIG in the home. Items
may include infusion set and tubing, and services include nursing
services to complete an infusion of IVIG lasting on average three to
five hours.\99\
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\99\ Updated Interim Report to Congress: Evaluation of the
Medicare Patient Intravenous Immunoglobulin Demonstration Project,
2022: https://innovation.cms.gov/data-and-reports/2022/ivig-updatedintrtc.
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On September 28, 2017, Congress passed the Disaster Tax Relief and
Airport and Airway Extension Act of 2017 (Pub. L. 115-63). Section 302
of Pub. L. 115-63 extended the Demonstration through December 31, 2020.
Division CC, section 104, of the Consolidated Appropriations Act,
2021 (Pub. L. 116-260) further extended the Demonstration for another 3
years through December 31, 2023.
Division FF, section 4134 of the CAA, 2023 (Pub. L. 117-328)
mandated that CMS establish permanent coverage and payment for items
and services related to administration of IVIG in a patient's home of a
patient with PIDD. The permanent home IVIG items and services payment
is effective for home IVIG administration furnished on or after January
1, 2024. Payment for these items and services is required to be a
separate bundled payment made to a supplier for all administration
items and services furnished in the home during a calendar day. The
statute provides that payment amount may be based on the amount
established under the Demonstration. The standard Part B coinsurance
and the Part B deductible is required to apply. In addition, that
statute states that the separate bundled payment for these IVIG
administration items and services does not apply for individuals
receiving services under the Medicare home health benefit. The CAA,
2023 provision clarifies that a supplier who furnishes these services
meet the requirements of a supplier of medical equipment and supplies.
4. Demonstration Overview
Under the Demonstration, Medicare provided a bundled payment under
Part B, that is separate from the IVIG product, for items and services
that are necessary to administer IVIG in the home to enrolled
beneficiaries who are not otherwise homebound and receiving services
under the home health benefit. The Demonstration only applied to
situations where the beneficiary required IVIG for the treatment of
certain PIDD diagnoses or was receiving SCIg to treat PIDD and wished
to switch to IVIG.
Services covered under the Demonstration were required to be
provided and billed by specialty pharmacies, enrolled as durable
medical equipment (DME) suppliers, that provided the Medicare Part B-
covered Ig. The covered items and services under the Demonstration were
paid as a single bundle and subject to coinsurance and deductible in
the same manner as other Part B services. HHAs were not eligible to
bill for services covered under the Demonstration but could bill for
services related to the administration of IVIG if the patient was
receiving services under a home health episode of care, in which case
the home health payment covered the items and services.
In order to participate in the Demonstration, beneficiaries must
have met the following requirements:
Be eligible to have the IVIG paid for at home under Part B
FFS.
Have a diagnosis of PIDD.
Not be enrolled in a Medicare Advantage plan.
Cannot be in a home health episode of care on the date of
service (in such circumstances, the home health payment covers the
services).
Must receive the service in their home or a setting that
is ``home like''.
To participate in the Demonstration, the beneficiary was required
to submit an application, signed by their physician.
DME suppliers billing for the items and services covered under the
Demonstration must have met the following requirements:
Meet all Medicare, as well as other national, state, and
local standards and regulations applicable to the provision of services
related to home infusion of IVIG.
Be enrolled and current with the National Supplier
Clearinghouse.
Be able to bill the DME Medicare Administrative
Contractors (MACs).
CMS implemented a bundled per visit payment amount under the
Demonstration, statutorily required to be based on the national per
visit low-utilization payment adjustment (LUPA) for skilled nursing
services used under the Medicare HH PPS established under section 1895
of the Act. The payment amount was subject to coinsurance and
deductible.
For billing under the Demonstration, CMS established a ``Q'' code
for services, supplies, and accessories used in the home:
Q2052--(Long Description)--Services, supplies, and
accessories used in the home under Medicare Intravenous immune globulin
(IVIG) Demonstration.
Q2052--(Short Description)--IVIG demo, services/supplies.
Suppliers billed Q2052 as a separate claim line on the same claim
for the IVIG product.
B. Scope of Expanded IVIG Benefit
As discussed previously, Division FF, section 4134 of the CAA, 2023
added coverage of items and services related to the administration of
IVIG in a patient's home, to the existing IVIG benefit category at
section 1861(s)(2)(Z) of the Act, effective January 1, 2024. IVIG is
covered in the home under Part B if all the following criteria are met:
It is an approved pooled plasma derivative for the
treatment of primary immune deficiency disease.
The patient has a diagnosis of primary immune deficiency
disease.
The IVIG is administered in the home.
The treating practitioner has determined that
administration of the IVIG in the patient's home is medically
appropriate.
Therefore, as section 4134(a)(1) of the CAA, 2023 adds the items
and services (furnished on or after January 1, 2024) related to the
administration of IVIG to the benefit category defined under section
1861(s)(2)(Z) of the Act (the Social Security Act provision requiring
coverage of the IVIG product in the home), the same beneficiary
eligibility requirements for the IVIG product apply for the IVIG
administration items and services. Subpart B of part 410 of the
regulations sets out the medical and other health services requirements
under Part B. The regulations at Sec. 410.10 identify the services
that are subject to the conditions and limitations specified in subpart
B. Section 410.10(y) includes intravenous immune globulin administered
in the home for the treatment of primary immune deficiency
[[Page 88449]]
diseases. Section 410.12 outlines general basic conditions and
limitations for coverage of medical and other health services under
Part B, as identified in Sec. 410.10. Section 410.12(a) includes the
conditions that must be met for these services to be covered, and
include the following:
When the services must be furnished. The services must be
furnished while the individual is in a period of entitlement.
By whom the services must be furnished. The services must
be furnished by a facility or other entity as specified in Sec. Sec.
410.14 through 410.69.
Physician certification and recertification requirements.
If the services are subject to physician certification requirements,
they must be certified as being medically necessary, and as meeting
other applicable requirements, in accordance with subpart B of part
424.
As the definition of IVIG at section 1861(zz) of the Act now
includes the items and services necessary to administer IVIG in the
home, in the CY 2024 HH PPS final rule (88 FR 77793), we finalized the
amendment to the regulation at Sec. 410.10(y) to add ``items and
services''. Furthermore, sub-regulatory guidance documents (that is,
IVIG LCD (33610) \100\ and IVIG Policy Article (A52509) \101\) provide
direction on coding and coverage for the IVIG product at home. Through
the Local Coverage Determination (LCD) for Intravenous Immune Globulin
(L33610),\102\ the Durable Medical Equipment Medicare administrative
contractors (DME MACs) specify the Healthcare Common Procedure Coding
System (HCPCS) codes for which IVIG derivatives are covered under this
benefit. Therefore, a beneficiary must be receiving one of the IVIG
derivatives specified under the LCD for IVIG to qualify to receive the
items and services covered under section 1861(s)(2)(Z) of the Act.
Furthermore, for any item (including IVIG) to be covered by Medicare,
it must--(1) be eligible for a defined Medicare benefit category; (2)
be reasonable and necessary for the diagnosis or treatment of illness
or injury or to improve the functioning of a malformed body member; and
(3) meet all other applicable Medicare statutory and regulatory
requirements. Policy guidance for the LCD for IVIG \103\ identifies the
ICD-10-CM codes that support medical necessity for the provision of
IVIG in the home. These diagnosis codes are listed in table 27.
---------------------------------------------------------------------------
\100\ https://www.cms.gov/medicare-coverage-database/view/lcd.aspx?LCDId=33610.
\101\ https://www.cms.gov/medicare-coverage-database/view/article.aspx?articleId=52509.
\102\ Local Coverage Determination (LCD): IVIG (L33610) https://www.cms.gov/medicare-coverage-database/view/lcd.aspx?LCDId=33610&ContrId=389.
\103\ https://www.cms.gov/medicare-coverage-database/view/article.aspx?articleId=52509.
[GRAPHIC] [TIFF OMITTED] TR07NO24.057
In accordance with this guidance, a beneficiary must be diagnosed
with one of the primary immune deficiencies identified by the ICD-10-CM
codes, set out in table 27 and as updated in subregulatory guidance, to
qualify to receive the items and services covered under section
1861(s)(2)(Z) of the Act. This policy guidance is revised as
[[Page 88450]]
needed by the DME MACs. And finally, to qualify to receive IVIG in the
home, section 1861(zz) of the Act requires that a treating practitioner
must have determined that administration of the IVIG in the patient's
home is medically appropriate. Accordingly, we updated the
subregulatory guidance pursuant to the CAA, 2023 to reflect the
expansion of the benefit to the items and services related to the home
administration of IVIG. Leveraging the existing regulations and sub-
regulatory guidance maintains one set of standards across the entire
IVIG benefit (that is, for the product and for the related items and
services needed for home administration).
1. Items and Services Related to the Home Administration of IVIG
Section 101(c) of the Medicare IVIG Access Act established coverage
for items and services needed for the in-home administration of IVIG
for the treatment of primary immunodeficiencies under a Medicare
demonstration program. In the CY 2024 HH PPS final rule, we stated that
we interpreted section 4134 of the CAA, 2023 to make permanent coverage
of the same items and services under the existing IVIG Demonstration to
promote continuous and comprehensive coverage for beneficiaries who
choose to receive home IVIG therapy (88 FR 77794). Under the
Demonstration, the bundled payment for the items and services necessary
to administer the drug intravenously in the home included the infusion
set and tubing, and nursing services to complete an infusion of IVIG
lasting on average three to five hours.\104\ Although ``items and
services'' are not explicitly defined under section 4134 of the CAA,
2023, we stated in the CY 2024 HH PPS proposed rule (88 FR 43755) that
we believed the items and services covered under the Demonstration are
inherently the same items and services that will be covered under the
payment added to the benefit category at section 1861(s)(2)(Z) of the
Act. We also did not enumerate a list of services that must be included
in the separate bundled payment; however, we stated that we anticipated
the nursing services will include such professional services as IVIG
administration, assessment and site care, and education (88 FR 43755).
Moreover, we stated that it is up to the provider to determine the
services and supplies that are appropriate and necessary to administer
the IVIG for each individual, and this may or may not include the use
of a pump. Because IVIG does not have to be administered through a pump
(although it can be), external infusion pumps are not covered under the
DME benefit for the administration of IVIG. An external infusion pump
is only covered under the DME benefit if the infusion pump is necessary
to safely administer the drug. The Local Coverage Determination (LCD)
for External Infusion Pumps identify the drugs and biologicals that the
DME Medicare Administrative Contractors (MACs) have determined require
the use of such pumps and cannot be administered via a disposable
elastomeric pump or the gravity drip method.\105\ As such, under the
IVIG Demonstration, coverage did not extend to the DME pump, and
thereby, is not covered separately under the home IVIG items and
services payment.
---------------------------------------------------------------------------
\104\ Updated Interim Report to Congress: Evaluation of the
Medicare Patient Intravenous Immunoglobulin Demonstration Project,
August 2022 found at: https://innovation.cms.gov/data-and-reports/2022/ivig-updatedintrtc.
\105\ https://www.cms.gov/medicare-coverage-database/view/lcd.aspx?LCDId=33794.
---------------------------------------------------------------------------
2. Home IVIG Items and Services and the Relationship to/Interaction
With Home Health and Home Infusion Therapy Services
Prior to enactment of the CAA, 2023, IVIG administration items and
services were explicitly excluded from coverage under the Part B IVIG
benefit. However, if a beneficiary was considered homebound and
qualified for the home health benefit, the items and services needed to
administer IVIG in the home could be covered as home health services.
Section 4134(b) of the CAA, 2023 excludes the IVIG items and services
bundled payment in the case of an individual receiving home health
services under section 1895 of the Act. Therefore, we clarified in the
CY 2024 HH PPS final rule that a beneficiary does not have to be
considered confined to the home (that is, homebound) in order to be
eligible for the home IVIG benefit; however, homebound beneficiaries
requiring items and services related to the administration of home
IVIG, and who are receiving services under a home health plan of care,
may continue to receive services related to the administration of home
IVIG as covered home health services (88 FR 77794). We also clarified
that the items and services related to the administration of IVIG in
the home, and as identified on the home health plan of care, will be
included in the payment for the 30-day home health period payment. HHAs
must provide home health items and services included on the plan of
care either directly or under arrangement and must bill and be paid
under the HH PPS for such covered home health services. If an HHA is
unable to furnish the items and services related to the administration
of IVIG (as indicated in the plan of care) in the home, they are
responsible for arranging these services (including arranging for
services in an outpatient facility) and are required to bill these
services as home health services under the HH PPS (88 FR 77795).
Regarding the home infusion therapy (HIT) services benefit, we
reminded readers that Medicare payment for home infusion therapy
services is for services furnished in coordination with the furnishing
of intravenous and subcutaneous infusion drugs and biologicals
specified on the DME LCD for External Infusion Pumps (L33794),\106\
with the exception of insulin pump systems and certain drugs and
biologicals on a self-administered drug exclusion list (88 FR 77794).
For the drugs and biologicals to be covered under the Part B DME
benefit they must require infusion through an external infusion pump.
If the drug or biological can be infused through a disposable pump or
by a gravity drip, it does not meet this criterion. IVIG does not
require an external infusion pump for administration purposes and
therefore, is explicitly excluded from the DME LCD for External
Infusion Pumps. However, subcutaneous immunoglobulin (SCIg) is covered
under the DME LCD for External Infusion Pumps, and items and services
for administration of SCIg in the home are covered under the HIT
services benefit. While a DME supplier and a HIT supplier (or a DME
supplier also enrolled as a HIT supplier) could not furnish services
related to the administration of immunoglobulin (either IVIG or SCIg)
to the same beneficiary on the same day, a beneficiary could
potentially receive services under both benefits for services related
to the infusion of different drugs. For example, a DME supplier also
accredited and enrolled as a HIT supplier, could furnish HIT services
to a beneficiary receiving intravenous acyclovir as well as IVIG, and
bill both the IVIG items and services benefit and the HIT services
benefit on the same date of service. We also recognize that a
beneficiary may, on occasion, switch from receiving immunoglobulin
subcutaneously to intravenously and vice versa, and as such, utilize
both the HIT services and the IVIG items and
[[Page 88451]]
services benefits within the same month.
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\106\ Local Coverage Determination (LCD): External Infusion
Pumps (L33794) https://www.cms.gov/medicare-coverage-database/view/lcd.aspx?LCDId=33794.
---------------------------------------------------------------------------
C. Home IVIG Administration Items and Services Payment
Section 101 of the Medicare IVIG Access Act established the
authority for a Demonstration providing payment for items and services
needed for the in-home administration of IVIG. In the CY 2024 HH PPS
final rule, we stated that we believed the provisions established under
that law serve as the basis for the conditions for payment with respect
to the requirements that must be met for Medicare payment to be made to
suppliers for the items and services covered under section
1861(s)(2)(Z) of the Act and clarified that the relevant regulations
and subregulatory guidance also apply.
1. Home IVIG Administration Items and Services Supplier Type
Section 4134(b) of the CAA, 2023 amends section 1842(o) of the Act
by adding a new paragraph (8) that establishes a separate bundled
payment to the supplier for all items and services related to the
administration of such intravenous immune globulin, described in
section 1861(s)(2)(Z) of the Act to such individual in the patient's
home during a calendar day. Section 4134(c) of the CAA, 2023 amends
section 1834(j)(5) of the Act, which are a requirement for supplier of
medical equipment and supplies, by adding a new subparagraph (E),
clarifying with respect to payment, that items and services related to
the administration of intravenous immune globulin furnished on or after
January 1, 2024, as described in section 1861(zz) of the Act, are
included in the definition of medical equipment and supplies. This
means that suppliers that furnish IVIG administration items and
services must meet the existing durable medical equipment, prosthetics,
orthotics, and supplies (DMEPOS) supplier requirement for payment
purposes under this benefit. Suppliers of IVIG administration items and
services must enroll as a DMEPOS supplier and comply with the Medicare
program's DMEPOS supplier standards (found at 42 CFR 424.57(c)) and
DMEPOS quality standards to become accredited for furnishing medical
equipment and supplies. Further, to receive payment for home IVIG items
and services, the supplier must also meet the requirements under
subpart A of part 424 (Conditions for Medicare Payment). The DMEPOS
supplier may subcontract with a provider to meet the professional
services identified in section V.B.1. of this final rule. All
professionals who furnish services directly, under an individual
contract, or under arrangement with a DMEPOS supplier to furnish
services related to the administration of IVIG in the home, must be
legally authorized (licensed, certified, or registered) in accordance
with applicable Federal, State, and local laws, and must act only
within the scope of their State license or State certification, or
registration. A supplier may not contract with any entity that is
currently excluded from the Medicare program, any State health care
programs or from any other Federal procurement or non-procurement
programs.
2. Home IVIG Administration
Section 1861(s)(2)(Z) of the Act defines benefit coverage of
intravenous immune globulin for the treatment of primary immune
deficiency diseases in the home. Under the IVIG Demonstration,
beneficiaries are eligible to participate if they receive IVIG services
in ``their home or a setting that is `home like' ''.\107\ Section
410.12(b) identifies the supplier types who can furnish the services
identified at Sec. 410.10. Section 410.38 provides the conditions for
payment for DME suppliers and identifies the institutions that may not
qualify as the patient's home. As such, the home administration of IVIG
items and services must be furnished in the patient's home, defined as
a place of residence used as the home of an individual, including an
institution that is used as a home. An institution that is used as a
home may not be a hospital, critical access hospital (CAH), or SNF as
defined in Sec. 410.38(b).
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\107\ Intravenous Immune Globulin Demonstration MLN Fact Sheet:
https://www.cms.gov/files/document/mln3191598-intravenous-immune-globulin-demonstration.pdf.
---------------------------------------------------------------------------
D. Home IVIG Items and Services Payment Rate
1. Payment Rate Update for Home IVIG Items and Services for CY 2025
Section 1842(o) of the Act provides the authority for the
development of a separate bundled payment for Medicare-covered items
and services related to the administration of intravenous immune
globulin to an individual in the patient's home during a calendar day,
in an amount that the Secretary determines to be appropriate. This
section of the Act also states payment may be based on the payment
established pursuant to section 101(d) of the Medicare IVIG Access Act.
Section 4134(d) of the CAA, 2023 amends section 1833(a)(1) of the Act
to provide that, with respect to items and services related to the
administration of IVIG furnished on or after January 1, 2024, as
described in section 1861(zz) of the Act, the amounts paid shall be the
lesser of the 80 percent of the actual charge or the payment amount
established under section 1842(o)(8) of the Act.
In accordance with section 101(d) of the Medicare IVIG Access Act,
the Secretary established a per visit Demonstration payment amount for
the items and services needed for the in-home administration of IVIG
based on the national per visit low-utilization payment amount (LUPA)
under the prospective payment system for home health services
established under section 1895 of the Social Security Act. Under the
Demonstration, the bundled payment amount for services needed for the
home administration of IVIG included infusion services provided by a
skilled nurse. Therefore, the bundled payment was based on the LUPA
amount for skilled nursing, based on an average 4-hour infusion. The
initial payment rate for the first year of the Demonstration, was based
on the full skilled nursing LUPA for the first 90 minutes of the
infusion and 50 percent of the LUPA for each hour thereafter for an
additional 3 hours. Thereafter, the payment rate was annually updated
based on the nursing LUPA rate for such year. The service was subject
to coinsurance and deductibles similar to other Part B services.
We stated in the CY 2024 HH PPS proposed rule (88 FR 43755), we
believed payment under section 1861(s)(2)(Z) of the Act covers the same
items and services covered under the IVIG Demonstration. We also agreed
that the professional services needed to safely administer IVIG in the
home will be services furnished by a registered nurse (88 FR 43756).
Therefore, we stated that setting the CY 2024 payment rate for the home
IVIG items and services under section 1861(s)(2)(Z) of the Act, based
on the CY 2023 payment amount established under the Demonstration was
appropriate. However, we noted the Demonstration used the LUPA rate,
which is annually adjusted by the wage index budget neutrality factor,
as well as the home health payment rate update percentage, and stated
that we believed it was appropriate to update the CY 2023 IVIG services
Demonstration rate by only the CY 2024 home health payment rate update
percentage. We stated that we will not include the wage index budget
neutrality factor, as the IVIG items and services payment rate is not
statutorily required to be geographically wage adjusted. Further,
although section 1842(o) of the Act states that payment is for the
items and services furnished
[[Page 88452]]
to an individual in the patient's home during a calendar day, we stated
that, as the statute aligns the payment amount with such amount
determined under the Demonstration, we believed the best reading of
``calendar day'' is ``per visit.'' Additionally, we stated that we will
expect a supplier to furnish only one visit per calendar day (88 FR
43756).
In the CY 2024 HH PPS final rule, we established a new subpart R
under the regulations at 42 CFR part 414 to incorporate payment
provisions for the implementation of the IVIG items and services
payment in accordance with section 1842(o) of the Act for home IVIG
items and services furnished on or after January 1, 2024. We finalized
a policy at Sec. 414.1700(a), that a single payment amount is made for
items and services furnished by a DMEPOS supplier per visit. We
finalized a policy at Sec. 414.1700(b), setting the initial payment
amount equivalent to the CY 2023 ``Services, Supplies, and Accessories
Used in the home under the Medicare IVIG Demonstration'' payment
amount, updated by the CY 2024 home health update percentage of 3.0
percent. We also finalized a policy at Sec. 414.1700(c) to annually
update the CY 2025 home IVIG items and services payment rate and
subsequent years, by the home health payment rate update percentage for
such year. Therefore, in the CY 2025 HH PPS proposed rule, we proposed
the CY 2025 home IVIG items and services payment rate would be the CY
2024 IVIG items and services payment rate of $420.48 updated by the
proposed home health payment update percentage of 2.5 percent ($420.48
* 1.025 = $430.99).
Comment: We received a few comments on the CY 2025 update of the
home IVIG items and services payment rate. Overall, commenters remained
supportive of CMS's implementation of the home IVIG items and services
benefit, including the payment rate increase. However, one commenter
stated that the LUPA-based rate calculation for the IVIG items and
services payment rate undervalues the nursing and pharmacy services
involved in the provision of home-administered IVIG. This commenter
stated this rate does not account for costs such as travel time,
dedicated one-on-one nursing, and other pharmacy-related expenses that
happen remotely. A commenter also requested CMS publish an annual
report on the home IVIG items and services benefit, similar to the HIT
Monitoring Report.
Response: The comments regarding the methodology that established
the initial home IVIG items and services rate are out of scope of this
rule, as this policy was finalized in the CY 2024 HH PPS final rule;
however, since the implementation of the home IVIG Demonstration
Program, CMS has interpreted the services covered under this payment to
be nursing services furnished in the patient's home. Indeed, the
Medicare IVIG Access Act statutorily required this payment to be based
on the national per visit low-utilization payment adjustment (LUPA) for
skilled nursing services used under the Medicare HH PPS established
under section 1895 of the Act. In addition, section 1842(o)(8) of the
Act states that payment may be based on the payment established
pursuant to subsection (d) of section 101 of the Medicare IVIG Access
and Strengthening Medicare and Repaying Taxpayers Act of 2012. We
anticipate including a public monitoring report on the home IVIG items
and services benefit on our Home Infusion Therapy (HIT)/IVIG web page
at https://www.cms.gov/medicare/payment/fee-for-service-providers/home-infusion-therapy once we have sufficient data.
After consideration of the public comments we received, we are
finalizing the CY 2025 home IVIG items and services payment rate of
$431.83 ($420.48 updated by the final home health payment update
percentage of 2.7 percent ($420.48 * 1.027 = $431.83)). The final home
IVIG items and services payment rate will be posted in the Billing and
Rates section of the CMS' Home Infusion Therapy (HIT) web page (found
at https://www.cms.gov/medicare/payment/fee-for-service-providers/home-infusion-therapy).
In subsequent years, if CMS does not intend to propose changes to
its established methodology for calculating the IVIG items and services
payment, this payment rate will be updated using CMS's established
methodology via the Home Health Prospective Payment System Rate Update
Change Request or Technical Direction Letter (TDL) and posted on the
CMS HIT/Home IVIG Services web page.\108\ For more in-depth information
regarding the finalized policies associated with the scope of the home
IVIG items and services payment, we refer readers to the CY 2024 HH PPS
final rule (88 FR 77791).
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\108\ https://www.cms.gov/medicare/payment/fee-for-service-providers/home-infusion-therapy.
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VI. Home Health Agency Condition of Participation (CoP) Changes and
Long Term Care (LTC) Facility Requirements for Acute Respiratory
Illness Reporting
A. Home Health Agency CoP Changes
1. Background and Statutory Authority
CMS has broad statutory authority to establish health and safety
standards for most Medicare- and Medicaid-participating provider and
supplier types. The Secretary gives CMS the authority to enact
regulations that are necessary in the interest of the health and safety
of individuals who are furnished services in an institution, while
other laws, as outlined later, give CMS the authority to prescribe
regulations as may be necessary to carry out the administration of the
program. Sections 1861(o) and 1891 of the Act authorize the Secretary
to establish the requirements that an HHA must meet to participate in
the Medicare Program, and these conditions of participation (CoPs) are
set forth in regulations at 42 CFR part 484.
The CoPs apply to the HHA as an entity, as well as to the services
furnished to each individual patient under the care of the HHA. In
accordance with section 1861(o) of the Act, the Secretary is
responsible for establishing additional CoPs besides those set out in
the statute that are adequate to protect the health and safety of the
individuals under HHA care. Section 1891(c)(2) of the Act establishes
the requirements for surveying HHAs to determine whether they meet the
CoPs.
2. Updates to the Home Health Agency CoPs To Require HHAs To Establish
an Acceptance-to-Service Policy (Sec. 484.105(i))
Admission to HHA services is a critical step in the process of
patients receiving timely, appropriate care to meet their needs. In
accordance with the requirements of Sec. 484.105(f)(1), each HHA must
furnish skilled nursing services and at least one other therapeutic
service (physical therapy, speech-language pathology, occupational
therapy, medical social services, or home health aide services) on a
visiting basis and in a place of residence that is used as a patient's
home. As such, the services provided by each HHA vary, creating
challenges for individuals seeking to find the right HHA to meet their
unique care needs. Likewise, the unique mix of services provided by an
HHA also necessitates an HHA-specific approach to accepting referrals
for care to ensure that the HHA is capable of meeting the needs of the
referred patient, in accordance with the
[[Page 88453]]
requirements of Sec. 484.60. Thus, a timely, appropriate admission
process serves both prospective patients seeking care and ensures that
HHAs accept for treatment only those patients for whom there is a
reasonable expectation of being able to meet the patient's care needs.
As described in the CY 2025 HH PPS proposed rule, researchers have
found that timely admission to home health, and in turn the initiation
of services are key to good home health patient outcomes. To address
concerns regarding the referral and acceptance process and their
implications for prospective and current patients, we proposed to add a
new standard at Sec. 484.105(i) that would require HHAs to develop,
implement, and maintain an acceptance-to-service policy that is applied
consistently to each prospective patient referred for home health care.
We proposed, at Sec. 484.105(i)(1)(i) through (iv), to require that
the policy be reviewed annually and address, at minimum, the following
criteria related to the HHA's capacity to provide patient care: the
anticipated needs of the referred prospective patient, the HHA's case
load and case mix, the HHA's staffing levels, and the skills and
competencies of the HHA staff. These proposed elements were designed to
inform an HHA's assessment of its capacity and determine its
suitability to meet the anticipated needs of the prospective patient
that has been referred for HHA services. We also proposed that the
patient acceptance-to-service policy be applied consistently to ensure
that HHAs only accept those patients for whom there is a reasonable
expectation that the HHA can meet the referred patient's needs.
We received a total of 78 comments from individuals, health care
professionals, national associations and patient advocacy groups. In
the following section, we discuss the public comments received on Sec.
484.105(i) that would require HHAs to develop, implement, and maintain
an acceptance-to-service policy that is applied consistently to each
prospective patient referred for home health care.
Comment: A few commenters supported the proposal for HHAs to
develop, implement, and maintain an acceptance-to-service policy, with
some observing that acceptance-to-service is an equity issue and that
delays in finding appropriate care can worsen outcomes for patients. A
commenter supported the clarification that HHAs should not accept
patients they cannot serve. However, another commenter recommended that
CMS ensure that the proposed acceptance-to-service policy does not
result in the denial of access to services because the acceptance-to-
service policy erroneously indicates that the HHA is unable to meet a
specific patient's needs. A commenter stated that the acceptance-to-
service policy would lead to improved workload distribution for HHA
staff but expressed concern that HHA administrators may misrepresent
the skills of the staff in order to accept more patients.
Conversely, other commenters expressed concern regarding the
proposed policy, suggesting that the existing requirements already
adequately address patient access to home health services and that HHAs
would not accept patients to whom they could not reasonably expect to
provide care. A commenter shared that HHAs may already use the proposed
factors in determining whether to accept patients but that maintaining
the information in an appropriate format would add burden. Commenters
stated that the proposed CoP would not address the underlying
challenges that prevent HHAs from accepting patients, such as staffing
challenges, patient complexity, unnecessary work due to referrals being
sent to multiple HHAs, care needs that are inappropriate for the home
setting, an inability to identify a community practitioner to oversee
patient care, and challenges in receiving responses to questions
regarding care plans from referring providers. These commenters
suggested not finalizing the proposed requirements and proposing
different requirements in the future, with one commenter recommending
that CMS convene a TEP to better understand the challenges associated
with finding appropriate home health care.
Response: We appreciate the commenters support for these new
proposals. While we agree that the existing CoPs already address some
essential steps in the acceptance and admission process, we do not
agree that these existing requirements fully meet the needs of
patients. While we acknowledge the feedback highlighting the varying
underlying challenges that may prevent HHAs from accepting patients, as
noted by some commenters, delays in finding appropriate care can worsen
outcomes for patients and acceptance-to-service may be an equity issue
for patients with complex needs. The consistent application of an
acceptance-to-service policy to all referrals, when combined with
making certain information publicly available, is likely to reduce
delays in finding appropriate care while ensuring that clinical factors
are used to guide decision making on accepting patients to HHA service,
so as to assure that an HHA is prepared to meet each patient's care
needs.
We also agree with the commenter that the acceptance-to-service
policy may lead to a better HHA staff workload distribution as HHAs use
a more deliberative, equally applied approach in accepting patients for
HHA services. In accordance with the requirements of Sec. 484.105, the
HHA must organize, manage, and administer its resources to attain and
maintain the highest practicable functional capacity, including
providing optimal care to achieve the goals and outcomes identified in
the patient's plan of care, for each patient's medical, nursing, and
rehabilitative needs. As such, each HHA should already be well versed
in understanding staff ability and skills, current workloads and other
circumstances that may affect case load. These are well established
concepts that we are formalizing within a policy that we expect will be
applied equally and consistently when evaluating prospective referred
patients. We appreciate the commenter sharing the observation that some
HHAs have existing referral policies that reflect some of the
requirements included in our proposal and that HHAs are already using
these factors in determining whether to accept patients. We note that
we also received a comment stating that one HHA accreditation
organization already requires HHAs to have a referral policy.
Therefore, we believe that many HHAs have existing policies and
procedures that will support compliance with these new requirements and
minimize the aggregate initial effort necessary to work towards
compliance.
Comment: A commenter stated that data collection and reporting for
such a policy will create additional administrative burden for HHAs.
Other commenters expressed general concerns about the potential burdens
of developing and maintaining an acceptance-to-service policy, with one
suggesting that CMS should reimburse HHAs for the time and effort
required to develop and maintain such policies.
Response: We understand commenters concerns regarding burden,
specifically, the development and maintenance of the policy. However,
we believe the benefits to the referred and current patient, in terms
of enabling more timely care and better outcomes outweigh the
administrative costs of policy development. Furthermore, as noted
previously, many commenters have acknowledged existing business
practices that support compliance with the policy. We encourage HHAs to
leverage their partnerships throughout
[[Page 88454]]
the stakeholder community to gain exposure to existing practices that
could assist in minimizing facility burden associated with compliance.
Comment: Some commenters suggested regarding ways to revise the
proposed policy, such as addressing the HHA's ability to provide the
required services, criteria to determine the patient's eligibility for
care, and procedures for accepting referrals. A commenter also stated
that appropriate patient placement with a home health agency is more
nuanced than simply tracking staffing numbers and general competencies.
The commenter recommended ensuring HHAs include nurse input to
determine whether a patient placement within an agency is possible
based on patient acuity and care levels.
Response: We agree that appropriate patient placement with a home
health agency is complex and that it is important that the HHAs have
the appropriate staff input to determine whether a patient placement
within an agency is possible based on patient acuity, care levels, and
HHA resources. We acknowledge that the skills and clinical knowledge of
a nurse may be beneficial to this process. However, we recognize that
there are other clinicians, such as rehabilitation therapists, that may
be appropriate as well. Therefore, we believe it is best to allow the
HHA the flexibility to determine which staff members should be included
in this process. We agree that HHAs should also consider including
criteria to determine the patient's eligibility for care and procedures
for accepting referrals as part of their acceptance-to-service policy
to improve their referral acceptance process. While we agree that
procedures for accepting patient referrals may fall within the scope of
the CoPs, we do not believe that it is necessary to add this regulatory
requirement for specific procedures at this time. We will continue to
monitor the timeliness of patient access to HHA services and follow-on
initial patient assessment activities to determine whether such
regulations may be needed in the future.
Comment: A few commenters expressed concern that CMS did not
discuss how HHAs would be evaluated for their compliance with the
acceptance-to-service policy. Some of these commenters stated that HHAs
would have to begin tracking patients that were referred to their
agency but not accepted for service because currently HHAs only have
data regarding patients to whom they provide care. In addition,
commenters expressed concern that this policy would focus on access
instead of quality and safety, and that surveyors would require
training to be able to fairly and consistently evaluate compliance. A
commenter recommended that CMS collect data regarding patients who are
denied service, and that CMS provide oversight and enforcement to
prevent HHAs from using capacity as a rationale for declining to
provide service to patients with chronic or complex needs. The
commenter stated that regulators could review referral and rejection
lists, and that by analyzing these lists regulators can identify
reasons for rejections and address those underlying reasons.
Response: The proposed and final policies focus on the health and
safety of HHA patients by instituting regulatory policies that will
reduce avoidable care delays that are known to increase the risk of
hospital readmissions. We seek to ensure that eligible patients receive
timely care to reduce the likelihood of these readmissions and other
negative consequences that may occur when a patient is referred for
home health services but does not receive timely care. We expect each
HHA to develop its acceptance-to-service policy taking into
consideration the criteria outlined in the final CoP. HHAs will be
required to include information regarding the HHA's case load and case
mix (that is, the volume and complexity of the patients currently
receiving care from the HHA), anticipated needs of the referred
prospective patient, the HHA's current staffing levels, and the skills
and competencies of the HHA staff. These elements are designed to
inform an HHA's assessment of its capacity and determine its
suitability to meet the anticipated needs of the prospective patient
that has been referred for HHA services.
While all of a prospective patient's needs may not be known at the
time of referral, general information regarding the patient's diagnosis
and recent hospitalization (as appropriate), and specific orders from
the patient's medical provider should provide a reasonable basis for
HHAs to anticipate the overall needs of the patient and determine
whether, in light of the described factors, the prospective patient is
or is not appropriate for the HHA to accept for service. HHAs will be
assessed for their compliance with the requirements set forth at Sec.
484.105(i). Section 484.105(i) does not include a requirement to track
patients that are not accepted for service nor any other data
collection requirements. HHAs are encouraged to track this information
to ensure that their services align with the needs of the communities
they serve. HHAs may use this data for their quality assessment and
performance improvement (QAPI) programs to evaluate the services
provided and examine potential areas of growth to best meet the needs
of their potential patients. We remind HHAs that they are required to
comply with Title VI of the Civil Rights Act of 1964, section 504 of
the Rehabilitation Act of 1973, Title II of the Americans with
Disabilities Act, the Age Discrimination Act of 1975, and section 1557
of the Affordable Care Act. Furthermore, interpretive guidance for the
final policy will be released following the publication of this final
rule and will provide additional information regarding oversight and
enforcement of the requirements.
Comment: Some commenters shared that an acceptance-to-service
policy for HHAs would inappropriately place the entire responsibility
for timely initiation of care on HHAs when this responsibility is
shared between referral sources and HHAs. The commenter also stated
that there are often communications gaps between patients, referral
sources, and HHAs which can lead to wasted time and resources (for
example, a patient being referred to two HHAs or an HHA which is not
notified when the patient is no longer at home and has been admitted or
readmitted for inpatient care).
Response: We agree that HHAs are responsible for their own policies
and procedures and share patient care responsibilities with the
practitioners that oversee the HHA plan of care. The acceptance-to-
service policy includes four minimum requirements related to clinical
factors that influence whether an HHA should accept or decline a
referral to ensure the health and safety or the referred patient by
matching HHA services to patient needs. Within this structure HHAs may
tailor their policy to address additional concerns and procedural
delays and challenges that they typically face in the referral and
acceptance process. It is the responsibility of the HHA to work with
its referral sources by educating them on the HHA acceptance-to-service
policy and services the HHA offers with the goal to minimize the
communication gaps.
Comment: A commenter supported the statement that acceptance-to-
service should not be based on payment source; conversely, a few other
commenters did not support this concept. A commenter expressed that
because HHAs lose money providing care for some patients they must have
a patient load balanced across payers with higher and lower payment
rates. This commenter also
[[Page 88455]]
expressed that while an HHA may be a Medicare-certified provider, they
may not be in-network for all MA plans, and even those for which they
are in network may have lengthy and complicated prior authorization
processes. This commenter also expressed concern that the proposal was
intended to improve access for patients with Medicaid and stated that
this is an inappropriate use of the Medicare CoPs.
Response: In accordance with Sec. 484.105, an HHA must organize,
manage, and administer its resources to provide optimal care to achieve
the goals established in each patient's individualized plan of care.
When accepting patients, the primary consideration of all HHAs must be
whether the HHA has the resources available to meet the needs of the
prospective patient, so as to avoid accepting those patients for whom
the HHA does not have a reasonable expectation of being able to meet
the patient's needs in their home environment.
Comment: A commenter stated that it is not uncommon for an HHA to
accept a patient for whom they cannot provide sufficient care and that
the patient's needs may be met by non-profits.
Response: While all of a prospective patient's needs may not be
known at the time of referral, general information regarding the
patient's diagnosis and recent hospitalization (as appropriate), and
specific orders from the patient's medical provider would provide a
reasonable basis for HHAs to anticipate the overall needs of the
patient and determine whether the prospective patient is or is not
appropriate for the HHA to accept for service. At Sec. 484.60, we
require HHAs to accept patients for treatment on the reasonable
expectation that an HHA can meet the patient's medical, nursing,
rehabilitative, and social needs in their place of residence.
Therefore, the information the commenter shared reflects a lack of
compliance with current regulations. Patients and caregivers may choose
to use additional community services to augment the services provided
by an HHA, but an HHA may not choose to provide reduced services for
the convenience of the HHA when the patient's need for a higher level
of services remains unchanged. In accordance with Sec. 484.60, HHAs
are responsible for implementing an individualized plan of care that
specifies the care and services necessary to meet the patient-specific
needs as identified in the comprehensive assessment, and that
identifies patient-specific measurable outcomes and goals identified by
the HHA.
Comment: A commenter stated that the proposed rule did not provide
a clear definition of ``timely initiation'' which would be important in
evaluating acceptance-to-service. This commenter stated that the
current definition of ``timely initiation of care'' is part of the HH
QRP based on OASIS data.
Response: We agree that this term may be used and defined in other
HHA programs that are not part of the CoPs. The specific proposed
requirement at Sec. 484.105(i) did not include the term ``timely
initiation'' and it would not be appropriate to define in the CoPs a
term that was not used in the CoPs.
Final Rule Action: After consideration of public comments, we are
finalizing the acceptance-to-service policy at Sec. 484.105(i)(1) as
proposed.
3. Updates to the Home Health CoPs To Require HHAs To Make Information
Public on Offered Services and Service Limitations (Sec.
484.105(i)(2))
Home health agencies have the ability to select the services that
they furnish and the geographic areas that they serve. Knowing which
areas are served by an HHA and which services an HHA does and does not
provide will assist referral sources, patients, and caregivers engaged
in a search for home health services in identifying the most suitable
HHA. Likewise, each HHA has fluctuating staffing levels and staffing
competencies affecting its capacity to deliver patient care and provide
its typically offered services. Therefore, at Sec. 484.105(i)(2) we
proposed to require that HHAs make public accurate information
regarding the services offered by the HHA, such limitations on
specialty services, service duration, and service frequency to further
inform the search efforts of all referral sources. We also proposed
that HHAs review this information at least annually. This will
facilitate the search for an HHA to meet a patient's needs, both from
clinical referral sources, and from patients and caregivers directly
seeking care. The goal is to reduce the delay between the time when a
patient is identified as an eligible candidate for home health care and
the time when care is initiated by making key information readily
available, thus improving identification of HHAs capable of meeting
patient needs. Reducing the time delay would improve patient outcomes,
as longer delays between referral and the initiation of HHA care are
more likely to result in adverse outcomes, including 30-day
rehospitalizations.
In the following section we discuss the public comments received
and our responses on proposed Sec. 484.105(i)(2) which would require
HHAs to make public accurate information regarding services offered,
service limitations, and service frequency.
Comment: A few commenters expressed support with recommendations
for the proposed requirement for HHAs to make public accurate, current
information on the services they offer. These commenters stated that
this could expedite connecting beneficiaries to agencies and provide
meaningful data about which agencies accept patients with complex and
long-term needs. A commenter stated that the proposed requirement will
provide useful information about areas where there may be gaps in HHAs
that provide specific services or are able to accept complex patients.
Likewise, a commenter noted that the proposed regulation promotes
public transparency and highlights the importance of timely initiation
of care. A commenter recommended that the information be presented in a
manner that is user-friendly, and culturally and linguistically
appropriate. Another commenter recommended additional information that
would be useful for patients in selecting an HHA, including languages
in which staff are fluent, a count of staff fluent in each language,
and patient to staff ratios.
Response: We thank commenters for their support and for
highlighting how this policy will help promote transparency, ensure
timely patient admission, and thus initiation of HHA services. We agree
with the commenters that making available information about the
services offered by the HHA and any limitations on those services may
provide public transparency and highlights the importance of timely
initiation of care as well as provide useful information about areas
where there may be gaps in HHAs that provide specific services. We
acknowledge the importance of providing information in an accessible
manner. We are providing HHAs with the flexibility to provide
information regarding their services in multiple formats (for example,
Care Compare). We remind HHAs of their requirement to comply with
section 508 of the Rehabilitation Act when developing and publishing
this information for the public.
Comment: Several commenters stated that they did not support the
proposed adoption of an acceptance-to-service policy requirement
because of concerns that the data could not reasonably be kept up to
date and would therefore not be able to meaningfully help patients and
referrers identify appropriate HHAs for care needs. Several commenters
stated that staffing and ability to accept new referrals changes on a
daily basis
[[Page 88456]]
and that changing publicly reported information that frequently could
be confusing for patients and other providers. Other commenters
recommended that CMS establish standards for updating publicly posted
information more frequently than the proposed annual review of
information. These commenters stated that staffing levels change
regularly and suggested timeframes for updates such as monthly or upon
a major change in service abilities. For example, a few commenters
stated that the requirement to update public information about
acceptance-to-service policies on an ``annual or as necessary'' basis
is not sufficiently clear. These commenters recommend that CMS provide
more detail on what would qualify for the ``as necessary'' standard.
Other commenters sought additional clarity on how frequently this
information should be updated and how the information would be
evaluated.
Response: We believe that these comments are not related to the
acceptance-to-service policy set forth on proposed Sec. 484.105(i)(1),
but to the proposed requirement at Sec. 484.105(i)(2) that HHAs would
make publicly available information regarding the services they
offered, and any limitations related to types of specialty services,
service duration, or service frequency. We thank commenters for
clarifying how frequently HHA services are updated or changed. While we
acknowledge the potential challenges of keeping this information up to
date, failing to do so may contribute to delays in patients receiving
needed home healthcare that may increase the likelihood of
rehospitalization, as well as increase the number of dual eligible
patients and other vulnerable populations at risk for poor outcomes.
According to one study published in 2021, when the initiation of home
health services is significantly delayed (that is, from 8 to 14 days
after discharge), the odds of rehospitalization for diabetic patients
were four times greater compared to patients receiving home health
service initiation within 2 days.\109\ Yet the rate of timely
initiation of home health care varies significantly, indicating that
the referral and acceptance process is in need of improvement.
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\109\ https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8197411/.
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While making this required information publicly available may
initially present a new challenge for HHAs, the greater clarity between
HHAs, patients and referral sources may improve the HHAs relationships
with the community they serve and reduce instances of avoidable
confusion and delays. To ensure that the information presented to the
public is accurate, we are revising the policy to require HHAs to
review publicly facing information as frequently as services are
changed, but no less often than annually. We would expect HHAs to
update the information regarding their services provided and service
limitations if the HHA anticipates it will not have a service available
for 3 to 6 months. Changing a service means the HHA has formally
altered the services it offers, whether by adding, discontinuing, or
temporarily pausing or restricting a service. For example, a change in
service may include an employee taking an extended leave of absence
(that is, care for a family member, recovery from a serious illness or
procedure, maternity leave) or the addition of a new contract employee
that provides speech language pathology services, which a HHA may not
have provided before.
Providing the most up to date information on services provided and
service limitations will allow patients, their families, and/or their
caregiver(s) to make educated decisions about which HHA will best meet
their physical, psychosocial, and rehabilitative needs. HHAs are
already required by Sec. 484.105 to document, in writing, the services
that they furnish. The governing body is responsible for assuring that
this is done as part of their oversight responsibilities set forth in
Sec. 484.105(a). As such, we would expect to see evidence of governing
body decision making on the services offered, corresponding revisions
to the written list, and corresponding updates to its public facing
information. After publication of this final rule, CMS will provide
additional guidance on enforcement through memoranda and updates to the
State Operations Manual (Pub. 100-07), as needed.
Comment: A commenter expressed concern that the policy may prohibit
HHAs from accepting patients that they would be able to serve given
their actual staffing, but that their published acceptance-to-service
policy would indicate that they could not serve.
Response: The information about services and limitations made
publicly available would in no way prohibit an HHA from accepting a
referral. Referral acceptance is governed by the HHAs acceptance-to-
service policy set forth in Sec. 484.105(i)(1), which requires HHAs to
develop and implement a policy based on specified clinical factors to
ensure that HHAs only accept those patients for whom they have a
reasonable expectation of being able to meet the patient's care needs
in their home environment.
Comment: A commenter stated that providing information regarding an
HHA's capacity on a public website would not provide meaningful
information to patients because home health referrals must be completed
by a medical professional and therefore patients and their families
would not be able to self-refer to such a provider.
Response: We did not propose, nor are we finalizing, a requirement
for HHAs to post information regarding their capacity on a website.
Rather, we proposed and are finalizing a requirement that HHAs make
publicly available information regarding the services that they offer
and limitations on those services, such as offering nursing services
but not advanced wound care services as a specialty. The capacity of an
HHA to deliver care to a referred patient is accounted for in the
internal policy that HHAs will develop and use when making acceptance-
to-service decisions. By accounting for the referred patient's
anticipated needs and considering the HHA's available resources, HHAs
will self-assess their capacity to serve the referred person and ensure
their health and safety.
We do not agree with the suggestion that patients and families are
not involved in identifying available HHA care. While the official home
health referral is completed by a medical professional, many patients
and their family members face the task of seeking out home health care
to facilitate the official referral process. If a patient's
practitioner decides they need home health care, the patient has the
right to participate in choosing the home health agency to meet their
care needs. While patients have choice, those choices may be limited
based on the services offered by HHAs, limitations on those services,
insurance type, and other factors.\110\ Patients and caregivers have
recounted conducting their own searches for care, often with great
difficulty. This population has unique needs and circumstances needs
that may make finding the right HHA challenging, and they may not have
access to information needed to target their search for an HHA in an
effective and efficient manner. Patients from community-based referral
sources tend to be Medicaid recipients, have cognitive impairments, and
are more socially vulnerable than patients admitted from acute care.
Additionally, they tend to have received 80 or more hours per month of
family caregiver assistance prior to their acceptance to
[[Page 88457]]
HHA services.\111\ Encouraging patients and their family members and/or
caregiver(s) to be more active participants in decision making improves
patient outcomes.\112\
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\110\ https://www.cms.gov > HHQIHHBenefits.
\111\ Social Vulnerability and Medical Complexity Among Medicare
Beneficiaries Receiving Home Health Without Prior Hospitalization,
Julia G. Burgdorf, Ph.D., Tracy M. Mroz, OTR/L, Ph.D., and Jennifer
L. Wolff, Ph.D. Innovation in Aging, 2020, Vol. 4, No. 6, 1-9
doi:10.1093/geroni/igaa049.
\112\ https://www.ahrq.gov/health-literacy/professional-training/shared-decision/tool/resource-9.html.
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Comment: Several commenters did not support a requirement to
publicly post information regarding a HHA's acceptance-to-service
policies because many HHAs already post these data on their websites.
Some commenters also stated that information about services provided is
available on the CMS Care Compare website and recommended this as the
appropriate location for information about agency services. A commenter
recommended linking HHA websites to their information on the Home
Health Compare website to improve the ease of finding additional
information about these organizations. A commenter stated that CMS
posts similar information regarding hospice providers and stated that
CMS can track and post these data for HH providers as well.
Response: To clarify, we are not requiring HHAs to publicly post
information regarding an HHAs acceptance-to-service policy. The
acceptance-to-service policy is for an agency's internal use and is
intended to compliment any current policies and procedures HHAs may use
for tracking referrals and assessing the suitability of the referral
relative to the HHA's capacity. Instead, HHAs will be required to
publicly post information regarding their services offered and the
limitations of these services. CMS recognizes that some of the
information about services offered may be available on Care Compare.
Care Compare is designed to be an easy-to-access, convenient source of
information about provider quality.\113\ HHAs may use Care Compare to
facilitate compliance with this requirement.
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\113\ https://www.cms.gov/medicare/quality/home-health/home-health-star-ratings.
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Alternatively, providing information regarding an HHA's service
through its website may also facilitate compliance with this
requirement. HHAs thus have flexibility in achieving compliance with
this requirement to ensure that public facing information regarding
services offered by an HHA are available. As previously discussed, we
remind HHAs of their requirement to comply with section 508 of the
Rehabilitation Act to ensure that publicly facing information is
accessible.
Comment: A commenter stated that publicly posting information
regarding services offered will have minimal benefit because this
information will not address individual patient specific circumstances
and therefore may still not provide patients information regarding
whether the HHA would be able to address their needs.
Response: The posting of the services provided by an HHA, and any
service limitations aims to increase transparency and allow patients
and their caregiver(s) to make informed decisions when selecting an
HHA, including the ability to speed their search by eliminating those
HHAs that do not offer the services the patient needs or whose
limitations on services make the HHA an unsuitable match. This allows
patients and their family members and/or caregiver(s) to have a better
understanding of what HHA may best fulfill their needs and efficiently
focus their efforts to achieve a timely admission and initiation of HHA
care, thus benefitting the patient's health and safety.
Comment: A commenter recommended that instead of publishing
information regarding services provided and capacity, HHAs should be
required to disclose any known delays to the services ordered on
referral prior to admission.
Response: We are not requiring HHAs to publish information
regarding capacity, however, this policy does not prevent HHAs from
doing so. Section 484.105(i)(1) requires the HHA address criteria
related to their capacity, which includes anticipated needs of the
referred prospective patient, case load and case mix, staffing levels
of the HHA, and skills and competencies of the HHA staff. Requiring
HHAs to publish this information may be too burdensome, as these
variables may change often. We are requiring HHAs to share information
with the public regarding limitations related to specialty services,
service duration, or service frequency. In accordance with Sec.
484.60, we would expect HHAs to only accept patients that they are able
to meet the medical, rehabilitative, nursing, and social needs of.
Additionally, Sec. 484.60(a)(2)(iv) requires the individualized plan
of care to include the frequency and duration of visits to be made. As
previously discussed, Sec. 484.55(a)(1) requires the initial
assessment visit to be held within 48 hours of referral, or within 48
hours of the patient's return home, or on the physician or allowed
practitioner-ordered start of care date.
Final Rule Action: After consideration of public comments, we are
finalizing the acceptance-to-service policy with revisions.
Specifically, we are updating the frequency with which HHAs must review
the publicly facing information regarding their services provided and
any service limitations to ensure this information is up to date and
accurate. Specifically, we are revising Sec. 484.105(i)(2), to require
HHAs to review the publicly facing information as frequently as
services are changed, but no less often than annually.
4. Request for Public Comments
In the proposed rule we requested additional feedback of topic
areas related to the acceptance-to-service policy. Specifically, we
requested comment on alternative ways to address the delay of home
health care initiation, barriers for patients with complex needs to
find and access HHAs, and other opportunities to improve transparency
regarding home health patient acceptance policies to better inform
referral sources. We also requested public comment regarding other ways
to improve the referral process for referral sources, patients, and
HHAs.
Many of the commenter's suggestions overlapped with the comments
received for the proposed acceptance-to-service policy and the RFI on
``Plan of Care Development and Scope of Services.'' We categorized the
comments into key themes, as follows: alternative ways to address
delays, improved referral process, and overall plan of care
development/scope of service. A few commenters suggested CMS focus on
improving the establishment of the plan of care as part of the referral
process. While other commenters suggested CMS engage clinicians to gain
greater insight on what is happening in the field and using claims-
based measures to gather data, educating hospital discharge planners to
improve pre-discharge communications with patients and caregivers, and
evaluating the impact of PDGM on HHAs. We appreciate to wide variety of
comments received on the question and may use this feedback to inform
additional rulemaking.
5. Out of Scope
Comment: Some commenters recommended increasing the focus on
supporting HHAs by requiring that all payer processes for recoupments,
vendor holds, undisclosed rate decreases and claim payment denials be
made transparent by payer sources who frequently disrupt the financial
operations of HHAs.
[[Page 88458]]
Response: The CoPs do not regulate payer processes; therefore, this
suggestion is out of scope for the CoPs.
Comment: A few commenters recommended reinforcing the importance of
timely initiation of service by adopting an initiation of care measures
in the HHVBP program.
Response: The HHVBP is not within the scope of the HHA CoPs;
therefore, we are not accepting this suggestion.
B. Long-Term Care (LTC) Requirements for Acute Respiratory Illness
Reporting
1. Background
Under sections 1866 and 1902 of the Act, providers of services
seeking to participate in the Medicare or Medicaid program,
respectively, must enter into an agreement with the Secretary or the
State Medicaid agency, as appropriate. Long-term care (LTC) facilities
seeking to be Medicare and Medicaid providers of services must be
certified as meeting Federal participation requirements. LTC facilities
include skilled nursing facilities (SNFs) for Medicare and nursing
facilities (NFs) for Medicaid. The Federal participation requirements
for SNFs, NFs, and dually certified facilities, are set forth in
sections 1819 and 1919 of the Act and codified in the implementing
regulations at 42 CFR part 483, subpart B.
Sections 1819(d)(3) and 1919(d)(3) of the Act explicitly require
that LTC facilities develop and maintain an infection control program
that is designed, constructed, equipped, and maintained in a manner to
protect the health and safety of residents, personnel, and the general
public. In addition, sections 1819(d)(4)(B) and 1919(d)(4)(B) of the
Act explicitly authorize the Secretary to issue any regulations he
deems necessary to protect the health and safety of residents.
Continuous and systematic collection of data is an essential component
of any infection control program, as the data provides information
about potential health threats and enables prevention planning to
mitigate severe health outcomes. LTC facility residents are vulnerable
to infection from SARS-CoV-2 because of chronic health conditions,
immunosenesence, and residence in a communal living setting.
Vaccination provides protection against infection but does not
eliminate the risk of acquiring SARS-CoV-2. Epidemiologic data from the
CDC's National Healthcare Safety Network (NHSN) indicate that weekly
COVID-19 cases continue to follow the general surge patterns of 2020 to
2023, despite the vaccination status of the nursing home population.
Additionally, the U.S. population remains at risk of increased
infection incidence and adverse outcomes as additional SARS-CoV-2
strains continue to emerge, and immunity induced by COVID-19 vaccines
wane. As such, in alignment with the sections 1819(d)(3), 1919(d)(3),
1819(d)(4)(B), and 1919(d)(4)(B) of the Act, we proposed to establish
the ongoing collection of a set of data elements necessary to quickly
identify threats to resident health and safety and initiate requisite
responses.
Infection prevention and control in LTC facilities was especially
important during the COVID-19 PHE. Under the explicit instructions of
Congress, existing regulations at Sec. 483.80 require facilities to,
among other things, establish and maintain an infection prevention and
control program (IPCP) designed to provide a safe, sanitary, and
comfortable environment and to help prevent the development and
transmission of communicable diseases and infections. The COVID-19 PHE
placed enormous strain on the Nation's healthcare systems, requiring
LTC facilities nationwide to take extraordinary measures in the face of
staff shortages, and the scarcity of personal protective equipment
(PPE) and critical supplies. Protecting residents in these
circumstances demanded that we have better visibility and data on the
spread and impact of COVID-19 in the Nation's LTC facilities. In
response, CMS issued an evolving series of requirements to obtain those
data through several interim final rules with comment period (IFCs)
during the height of the PHE and subsequent final rules to support
ongoing efforts to monitor and protect residents against COVID-19. When
the CDC started collecting COVID-19 case data on a national scale in
LTC facilities we began to understand the epidemiological trends of
COVID-19 disease in LTC facility residents. The data highlighted how
LTC facilities played a large role in viral transmission and that LTC
facility residents were disproportionally impacted by COVID-19 compared
to community dwelling adults. Even after the end of the PHE, national
data collected in LTC facilities has shown that LTC facility residents
continue to be impacted by COVID-19 at higher rates than older adults
in the community and are more likely to develop severe outcomes.
Continuing to understand trends of COVID-19 and other significant
respiratory diseases (for example, RSV, Influenza) in the LTC facility
population is critical to understanding the burden of respiratory
viruses on the country.
First, on May 8, 2020, we issued a IFC titled ``Medicare and
Medicaid Programs, Basic Health Program, and Exchanges; Additional
Policy and Regulatory Revisions in Response to the COVID-19 Public
Health Emergency and Delay of Certain Reporting Requirements for the
Skilled Nursing Facility Quality Reporting Program'' (85 FR 27550),
which revised the infection prevention and control requirements for LTC
facilities to more effectively respond to the specific challenges posed
by the COVID-19 pandemic. Specifically, this May 2020 IFC added
provisions to require facilities to electronically report information
related to confirmed or suspected COVID-19 cases to the Centers for
Disease Control and Prevention (CDC) and required facilities to inform
residents and their representatives of confirmed or suspected COVID-19
cases in the facility among residents and staff.
Second, on September 2, 2020, we issued a IFC titled ``Medicare and
Medicaid Programs, Clinical Laboratory Improvement Amendments (CLIA),
and Patient Protection and Affordable Care Act, Additional Policy and
Regulatory Revisions in Response to the COVID-19 Public Health
Emergency'' (85 FR 54873). This September 2020 IFC set out provisions
regarding testing for COVID-19 in LTC facilities, including
documentation requirements and protocols specifying actions to be taken
if a resident or staff member tests positive. On May 13, 2021, we
issued another IFC titled ``Medicare and Medicaid Programs; COVID-19
Vaccine Requirements for Long-Term Care (LTC) Facilities and
Intermediate Care Facilities for Individuals with Intellectual
Disabilities (ICFs-IID) Residents, Clients, and Staff'' (86 FR 26306),
which further revised the infection control requirements that LTC
facilities and intermediate care facilities for individuals with
intellectual disabilities (ICFs-IID) must meet to participate in the
Medicare and Medicaid programs. This May 2021 IFC aimed to reduce the
spread of SARS-CoV-2 infections, the virus that causes COVID-19, by
requiring education about COVID-19 vaccines for LTC facility residents,
ICF-IID clients, and staff serving both populations, and by requiring
that such vaccines, when available, be offered to all residents,
clients, and staff. It also required LTC facilities to report COVID-19
vaccination status of residents and staff to CDC.
To retain the data reporting requirements after the end of the PHE,
on November 9, 2021, we subsequently published a final rule titled ``CY
2022
[[Page 88459]]
Home Health Prospective Payment System Rate Update; Home Health Value-
Based Purchasing Model Requirements and Model Expansion; Home Health
and Other Quality Reporting Program Requirements; Home Infusion Therapy
Services Requirements; Survey and Enforcement Requirements for Hospice
Programs; Medicare Provider Enrollment Requirements; and COVID-19
Reporting Requirements for Long-Term Care Facilities'' (86 FR 62440,
62421), which finalized the COVID-19 data reporting requirements from
the May 2020 and May 2021 IFCs. Specifically, in this November 2021
final rule, we revised the requirements at Sec. 483.80(g)(1)(i)
through (ix), to reduce the burden on the LTC facilities by allowing
for a reduced frequency of reporting (weekly unless the Secretary
specified a lesser frequency) and modified the specific data elements
to be reported. The November 2021 final rule stated that until December
31, 2024, facilities would be required to report electronically, in a
standardized format specified by the Secretary, information on
suspected and confirmed COVID-19 infections among residents and staff,
including residents previously treated for COVID-19, total deaths and
COVID-19 deaths among residents and staff, personal protective
equipment and hand hygiene supplies in the facility, ventilator
capacity and supplies available in the facility, resident beds and
census, access to COVID-19 testing while the resident is in the
facility, and staffing shortages. In addition, on an ongoing basis with
no sunset date, facilities are required to report information on
resident and staff vaccination status for COVID-19 (86 FR 62421).
Finally, on June 5, 2023, we issued a final rule titled ``Medicare
and Medicaid Programs; Policy and Regulatory Changes to the Omnibus
COVID-19 Health Care Staff Vaccination Requirements; Additional Policy
and Regulatory Changes to the Requirements for LTC Facilities and ICF-
IIDs to Provide COVID-19 Vaccine Education and Offer Vaccinations to
Residents, Clients, and Staff; Policy and Regulatory Changes to the LTC
Facility COVID-19 Testing Requirements'' (88 FR 36485).\114\ This June
2023 final rule removed expired language addressing COVID-19 testing
requirements issued in the September 2020 IFC, withdrew requirements
mandating COVID-19 vaccinations for staff (see 86 FR 61555 for details
regarding the IFC that issued the requirements \115\), and finalized
requirements issued in the May 2021 IFC for facilities to provide
education about vaccines and to offer COVID-19 vaccines to residents
and staff.
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\114\ June 2023 Final Rule. https://www.govinfo.gov/content/pkg/FR-2023-06-05/pdf/2023-11449.pdf.
\115\ COVID-19 Health Care Staff Vaccination Interim Final Rule.
https://www.federalregister.gov/documents/2021/11/05/2021-23831/medicare-and-medicaid-programs-omnibus-covid-19-health-care-staff-vaccination.
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2. The Benefits of and Ongoing Need for LTC Facility Respiratory
Illness and Vaccination Data
There are over 1.3 million older adults aged 65 years and older
living in LTC facilities in the United States; and while LTC facility
residents make up less than 0.5 percent of the population in the U.S.,
they were estimated to account for between 23 percent and 40 percent of
deaths due to COVID-19 in the first two years of the COVID-19
PHE.116 117 Older residents are at greater risk for both
developing COVID-19 and other respiratory illnesses (for example,
influenza, RSV) and for developing a protracted course of disease.\118\
Age-associated changes in immune function (that is, immunosenecense)
can increase susceptibility to infection and decrease response to
vaccination. Additionally, older adults often have multiple co-
morbidities leading to increased morbidity and mortality when coupled
with a respiratory tract infection.\119\ The congregate setting of LTC
facilities can also increase risk of disease transmission given the
proximity of residents. In addition, providing care for residents often
involves close-contact activities (for example, dressing, bathing) and
the same health care personnel provide care to residents across
different rooms and shared spaces. This readily facilitates
transmission of respiratory viruses in this setting.\120\ Furthermore,
LTC facility staffing shortages and consistent staff turnover, that are
ever-present, but were greatly exacerbated during the COVID-19 PHE,
make it even more challenging to provide quality care and to implement
infection practices effectively and consistently, demonstrating the
need for timely and actionable surveillance.\121\
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\116\ Grabowski DC, Mor V. Nursing Home Care in Crisis in the
Wake of COVID-19. JAMA. 2020;324(1):23. doi:10.1001/jama.2020.8524.
\117\ Chidambaram P. Over 200,000 Residents and Staff in Long-
Term Care Facilities Have Died From COVID-19. Kaiser Family
Foundation. Published online February 3, 2022. https://www.kff.org/policy-watch/over-200000-residents-and-staff-in-long-term-care-facilities-have-died-from-covid-19/.
\118\ The New York Times. Nearly One-Third of U.S. Coronavirus
Deaths Are Linked to Nursing Homes. https://www.nytimes.com/interactive/2020/us/coronavirus-nursing-homes.html. Published June
1, 2021.
\119\ Vital and Health Statistics, Series 3, Number 47 (cdc.gov)
(https://www.cdc.gov/nchs/data/series/sr_03/sr03-047.pdf).
\120\ Morbidity and Mortality Weekly Report (MMWR), Rates of
COVID-19 Among Residents and Staff Members in Nursing Homes--United
States, May 25-November 22, 2020 (cdc.gov) (https://www.cdc.gov/mmwr/volumes/70/wr/pdfs/mm7002e2-H.pdf).
\121\ Infection prevention and control in nursing homes during
COVID-19: An environmental scan--PMC (nih.gov) (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8810224/).
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The COVID-19 PHE highlighted the value and potential utility of
greater integration between public health and health care, particularly
when data are available to direct collaborative actions that support
patient, resident, and public health and safety. Data from health care
providers, including LTC facilities, remain a key driver to identify
and respond to patient, resident, and public health threats, yet health
care and public health data systems have long persisted on separate,
often poorly compatible tracks.\122\ The COVID-19 PHE also highlighted
the importance of taking a broader view of patient and resident
safety--one that recognizes patient and resident safety is determined
not only by what is happening at the bedside, but also what is
happening, in the facility as a whole, in neighboring facilities (for
example, individuals moving between hospitals and LTC facilities and
health care providers working in multiple facilities), and across the
region, State, and county. The value of this broader view was
particularly evident from the experience of LTC facilities, where
systematic communicable disease and vaccination surveillance had never
been integrated.
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\122\ Vital and Health Statistics, Series 3, Number 47 (cdc.gov)
(https://www.cdc.gov/nchs/data/series/sr_03/sr03-047.pdf).
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For the first time, during the COVID-19 PHE, the nation had a real-
time comprehensive picture of a disease, its vaccine, and its impact in
the nearly 16,000 U.S. LTC facilities because of data reported to the
CDC's NHSN application. Ultimately, access to this information proved
critical to providing resources and supporting coordinated action by
facilities, health systems, communities and jurisdictions in responding
to the PHE and protecting the health, safety and lives of LTC facility
residents. The resources made available during the PHE response helped
build resilience in some parts of the health care system, but the
pandemic also exacerbated sources of fragility that continue to leave
the United States underprepared to respond to surges--even relatively
typical ones. COVID-19 and other respiratory illness
[[Page 88460]]
case, hospitalization, and vaccination data together provide critical
situational awareness for regional and State leadership to inform a
national strategy in response to the ongoing public health threat that
respiratory illnesses including COVID-19 pose to residents.
In the proposed rule, we provided a detailed discussion regarding
the data produced by the respiratory illness reporting requirements for
LTC facilities and how the insight provided by the data collected
positively impacted resident health and safety by guiding actions to
reduce the prevalence of respiratory illnesses through enhanced
planning, technical assistance, resource allocation, and coordination
at the facility, local, State, and Federal levels. We encourage readers
to refer to the proposed rule for this detailed discussion (89 FR
55404-55406).
3. Provisions of the Proposed Regulations and Analysis and Response to
Public Comments
In response to the proposed rule, we received 73 total comments
from industry commenters, such as national associations, leadership,
and facility staff. We received very few comments from advocacy
organizations and no comments from anyone identifying themselves as
residents or family advocates. In this final rule, we provide a summary
of the proposed provisions, a summary of the public comments received,
and our responses to them, and an explanation for changes in the
policies we are finalizing.
a. Continuation of Respiratory Illness Reporting for LTC Facilities
Given the value of respiratory illness and vaccination reporting
during the COVID-19 PHE in supporting resident health and safety, we
considered the continued utility of LTC facility respiratory illness
data to monitor and protect residents against respiratory illnesses and
the ongoing need for such data in the ``new normal'' of diverse
respiratory disease threats. While the COVID-19 PHE has ended, SARS-
CoV-2 continues to circulate throughout the globe and although epidemic
waves are less severe than those of 2020 through early 2022, there was
no epidemiologic bright line associated with the end of the PHE. While
COVID-19 hospital admissions were modestly lower in January 2024 than
they were at the July 2022 or December 2022 peaks,\123\ adults 65 years
and older represented more than half of COVID-19 hospitalizations
during October 2023 to December 2023.\124\ Additionally, during the
2023-2024 fall/winter respiratory virus season, COVID-19-associated
hospitalizations among LTC facility residents peaked at a weekly rate
that was more than eight times higher than the peak weekly rate among
all U.S. adults aged >=70 years.\125\ At the same time, other
respiratory viruses have also seen a resurgence, and the moderate
COVID-19 burden coinciding with resurgent influenza and RSV has led to
an overall hospitalization burden larger than observed during severe
influenza and RSV seasons prior to the COVID-19 pandemic.\126\
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\123\ https://covid.cdc.gov/covid-data-tracker/#trends_weeklyhospitaladmissions_select_00.
\124\ CDC COVID Data Tracker: Hospital Admissions (https://covid.cdc.gov/covid-data-tracker/#datatracker-home).
\125\ Franklin D, Barbre K, Rowe TA, Reses HE, Massey J, Meng L,
Dollard P, Dubendris H, Stillions M, Robinson L, Clerville JW,
Jacobs Slifka K, Benin A, Bell JM. COVID-19 vaccination coverage and
rates of SARS-CoV-2 infection and COVID-19-associated
hospitalization among residents in nursing homes. MMWR Morb Mortal
Wkly Rep 2024;73:339-344. DOI: https://dx.doi.org/10.15585/mmwr.mm7315a3.
\126\ Respiratory Disease Season Outlook (cdc.gov) (https://www.cdc.gov/forecast-outbreak-analytics/about/season-outlook.html).
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The elevated risks of respiratory viruses in the post-PHE era
present ongoing threats, both direct and indirect, to resident health
and safety. As such, we proposed to continue some of the reporting
requirements finalized in November 2021 and set to expire in December
2024. Specifically, we proposed to revise the infection prevention and
control requirements for LTC facilities to extend reporting in NHSN for
a limited subset of the current COVID-19 elements and also require
reporting for data related to influenza and RSV.
Specifically, we proposed to replace the existing reporting
requirements for LTC facilities at Sec. 483.80(g)(1)(i) through (ix)
and (g)(2) with new requirements to report information addressing
respiratory illnesses. Beginning on January 1, 2025, we proposed to
require facilities to electronically report information about COVID-19,
influenza, and RSV in a standardized format and frequency specified by
the Secretary. We proposed to continue weekly reporting through the
CDC's NHSN. To the extent to be determined by the Secretary, through
this rulemaking cycle, we proposed that the data elements for which
reporting would be required include all of the following:
Facility census (defined as the total number of residents
occupying a bed at this facility for at least 24 hours during the week
of data collection).
Resident vaccination status for a limited set of
respiratory illnesses including but not limited to COVID-19, influenza,
and RSV.
Confirmed resident cases of a limited set of respiratory
illnesses including but not limited to COVID-19, influenza, and RSV
(overall and by vaccination status).
Hospitalized residents with confirmed cases of a limited
set of respiratory illnesses including but not limited to COVID-19,
influenza, and RSV (overall and by vaccination status).
Comment: A few commenters expressed support for our proposal to
extend the requirements for respiratory illness reporting in LTC
facilities. These commenters stated that sustained data collection and
reporting provides valuable information for guiding infection control
interventions; keeping LTC facility residents, family members, and
staff safe; and directing resources where they are most needed. A
commenter specifically expressed support for including other
respiratory illnesses in the required NHSN reporting. A commenter
stated that understanding health related social needs and demographic
information may be helpful in addressing health inequities.
Response: We thank commenters for their support of LTC facility
acute respiratory illness data reporting to NHSN. The Infection Control
requirements at Sec. 483.80 are a comprehensive set of requirements
that include an infection prevention and control plan (IPCP) based upon
the facility assessment as set forth in Sec. 483.71. Consistent data
on COVID-19, influenza, and RSV is essential for infection control
efforts to protect the health and safety of residents as well as
facility staff. We acknowledge that every LTC facility is different,
with different resident populations, varying types of acuity and
medical needs, and resource challenges. As such, our goal to minimize
the risk of severe illness, hospitalization and death from respiratory
viruses is supported by situational awareness that occurs with data
that can be analyzed on a regular frequency, easily available and acted
upon.
Comment: A commenter recommended requirements that LTC facilities
include at least one full-time dedicated infection preventionist (IP)
to support reporting and a robust IPCP.
Response: We appreciate the recommendation that LTC facilities use
at least one full-time dedicated IP. Existing provisions at Sec.
483.80(b) require facilities to have an IP work at least part-time at
the facility. Additionally, if the facility assessment identifies the
need for additional
[[Page 88461]]
resources above the minimum requirement of a part time IP position,
then the facility should staff to the appropriate level to care for its
resident population. We believe that these existing requirements set
forth a feasible and achievable minimum health and safety standard that
supports infection prevention and control, while also considering the
differences and varying needs of all of the LTC facilities that must
comply with these minimum health and safety requirements.
Comment: Another commenter supported required respiratory illness
data reporting and recommended establishing policies to ensure that
resident privacy is protected.
Response: We appreciate the commenter's support for acute
respiratory illness data reporting as well as the recommendation to
ensure that residents' privacy is protected. Existing provisions at
Sec. 483.10(h), ''Privacy and Confidentiality,'' require LTC
facilities to ensure and respect a resident's right to personal privacy
and the confidentiality of their personal and medical records. This
includes but is not limited to using appropriate administrative,
physical and technical safeguards to ensure confidentiality, integrity
and security of personal and medical records. Regular training for LTC
facility staff on privacy and security best practices is essential.
Also, Sec. 483.10(g), ``Resident rights'', requires LTC facilities to
respect a resident's right to privacy in communications. This includes
mail, letters, packages and other materials. The LTC facility must also
ensure that residents' have reasonable access and privacy in electronic
communications, including email, video communications and internet
access for research. Hence, we believe the LTC facility is already
required and should have policies to ensure resident privacy of their
medical records, including respiratory illness reporting based on these
existing requirements.
Comment: Many commenters recommended that CMS revise the frequency
of NHSN reporting to monthly or quarterly or, in some cases, annually
to reduce the administrative burden associated with the proposed
requirement. A few commenters stated that weekly reporting is a
pandemic level frequency for reporting and stated that this is no
longer appropriate. Other commenters suggested reporting during peak
respiratory virus season (that is, fall and winter). A few commenters
suggested that facilities report to NHSN only in the event of an
outbreak. A few commenters recommended allowing reporting of snapshot
data for the week instead of cumulative data.
Response: We thank the commenters for their feedback. Elevated
risks of respiratory viruses in the post-PHE era present ongoing
threats and there will be more burdensome respiratory virus seasons and
periodic surges for the foreseeable future that threaten the health and
safety of LTC facility residents.\127\ In response, public health
agencies, such as the CDC, have shifted prevention and control
strategies from a focus on specific viruses to an approach that
addresses the threats presented by the broader respiratory virus
season, including focused efforts to mitigate impacts on nursing home
residents and staff.\128\ Likewise, we believe it is vital to maintain
national surveillance of these emerging and evolving respiratory
illnesses as a means of guiding infection control interventions to keep
residents safe. To achieve this the most useful data are those that are
timely and actionable. It is in the best interests of LTC facility
residents to protect them by continuing year-round surveillance to
monitor for respiratory viruses. Such surveillance will provide
actionable data for LTC facilities, healthcare quality improvement
organizations, and public health agencies.
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\127\ Respiratory Disease Season Outlook (cdc.gov) (https://www.cdc.gov/forecast-outbreak-analytics/about/season-outlook.html).
\128\ See https://www.cdc.gov/respiratory-viruses/ and
data summaries of respiratory virus burden at https://www.cdc.gov/respiratory-viruses/data-research/dashboard/snapshot.html and
https://www.cdc.gov/respiratory-viruses/whats-new/track-hospital-capacity.html.
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The proposed requirements are scaled back and streamlined in
comparison to the current post COVID-19 PHE requirements. As such, the
CDC has combined the respiratory illness reporting fields in NHSN and
created one simplified reporting form (a reduction from four forms) to
support the data collection. For additional context, this streamlined
data collection will eliminate over 30 data fields that LTC facilities
will need to address in the NHSN system.
Continuing the collection of the minimal necessary data for weekly
data reporting to NHSN will maintain a level of situational awareness
that will protect resident health and safety, while reducing reporting
burden on LTC facilities. Weekly reporting allows for public reporting
in real time and on a regularly occurring basis. This ensures that a
variety of entities across the local, State, and Federal levels (such
as, LTC facilities and associations, CDC, Quality Innovation Network-
Quality Improvement Organizations (QIN-QIOs), state and local health
departments) can monitor data with a minimal data lag and allow for
quicker, direct response efforts to outbreaks among LTC facility
residents.
Furthermore, we are not collecting only a ``snapshot'' of data, as
suggested, because the required data to be reported has been
streamlined to represent the minimum necessary data and there is a need
to keep the collection period consistent (Monday through Sunday) to
ensure the reliability of the data. Facilities will submit data through
the NHSN reporting system once per week, representing cumulative
vaccination coverage, new positive tests, and new hospitalizations that
occurred during the week of reporting. Therefore, we believe that a
weekly reporting frequency at this time is appropriate. However, we
note that the requirements we are finalizing allow the Secretary the
discretion to revise the frequency of reporting, and we will continue
to monitor the utility of the reporting requirements and changing needs
for the data collection.
Comment: Many commenters recommended not finalizing proposals
related to continued reporting of respiratory viruses through the NHSN
and recommended that CMS allow the existing requirements for NHSN
reporting to end on December 31, 2024, as currently provided for at
Sec. 483.80(g). Commenters indicated that the continuation of data
collection would divert resources from providing direct patient care
and other important initiatives, such as quality improvement. Many
commenters stated that the proposed reporting requirements are too time
consuming and therefore would create administrative burden on LTC
facilities that may outweigh the benefits of data reporting. Commenters
were concerned that this reporting is resource intensive and would
require LTC facilities to increase staffing levels to comply with all
the steps of data collection, verification, and submission (including
addressing a changing population of staff and residents) and stated
that increasing staffing would be difficult because LTC facilities are
currently facing staffing challenges. Some commenters specifically
highlighted the potential burden on small facilities with minimal
staff. A few commenters stated that data collection within the NHSN
will not lead to improved care for residents and that the benefits of
reporting that were seen during the PHE (including PPE allocations,
strike teams, and test kit allocations) are no longer associated with
NHSN reporting.
[[Page 88462]]
Response: We appreciate the feedback from these commenters;
however, timely data reported on acute respiratory illnesses is
essential to help guide targeted efforts to reduce severe illnesses and
deaths among the resident population. A data driven approach will guide
infection prevention and control interventions and LTC facility
operations that directly relate to resident health and safety. As
discussed previously, we want to emphasize that the requirements we are
finalizing are scaled back and streamlined in comparison to the current
post COVID-19 PHE requirements. For context, the streamlined data
collection will reduce the number of NHSN forms from 4 to 1 and
eliminate over 30 data fields that LTC facilities will need to address
in the system. Therefore, we are finalizing the proposed policy, which
will continue the collection of the minimal necessary data needed to
maintain a level of situational awareness that we believe will protect
resident health and safety in LTC facilities across the country, while
reducing reporting burden on those facilities.
Comment: Many commenters stated that the proposed reporting
requirements would require LTC facilities to report duplicative data
through the CDC's NHSN. Commenters stated that relevant COVID-19
reporting has been incorporated into other systems and programs, and
other respiratory illnesses are collected through the Minimum Data Set
(MDS). Commenters also mentioned that infection data are already
reported through other mandatory mechanisms such as reporting
surveillance data to local authorities, public health agencies or
departments of health as part of infection control requirements,
including clusters of respiratory virus symptoms and information about
confirmed cases. Commenters stated that because of these other data
collection channels, requiring continued reporting through the NHSN
would be unnecessary and duplicative, and recommended that CMS and CDC
coordinate with public health agencies to access the data. A few
commenters also noted that NHSN has separate guidelines for reporting
data which are different from the guidelines for reporting the same
data via the Minimum Data Set (MDS), which increases administrative
reporting burden. A few commenters stated that data submission through
MDS is preferable because these data can be linked to resident-specific
demographic and socioeconomic data and can be used to inform care
plans. Some commenters recommended only requiring LTC facilities to
report on items not reported via MDS. A commenter recommended reporting
the data through a system similar to internet Quality Improvement and
Evaluation System (iQIES) that would automatically pull the data.
Lastly, a few commenters also noted that with the release of updated
public health guidance in March 2024, CDC began shifting to a more
standardized approach toward reporting on the incidence of respiratory
viruses and recommended that CMS align nursing home requirements with
this guidance. A commenter recommended that CMS convene a task force to
study what high value data should continue to be collected from LTC
facilities and consider adding to existing reporting platforms.
Response: We acknowledge that differing mechanisms for reporting
some of the proposed respiratory data elements exist beyond NHSN, such
as reporting through MDS. However, while there is some overlap between
NHSN and MDS collections, specifically resident vaccination data,
streamlined data regarding acute respiratory illnesses including COVID-
19, influenza, and RSV, as we proposed, are not currently captured in
MDS. CMS and the CDC are committed to collecting the minimum data
fields necessary to inform public health response and protect LTC
facility residents. NHSN reporting provides useful data that are timely
and actionable in real time on a routine cadence (weekly), unlike the
MDS, which is collected at longer intervals that are dictated by
reporting requirements unrelated to acute respiratory illnesses. An MDS
must be completed for each resident upon admission, and then at regular
intervals, typically every 3 months, or whenever there is a significant
change in the resident's condition (see Sec. 483.20, ``Resident
assessment''). The timing of MDS data collection and reporting does not
support facility-level acute respiratory illness situational awareness,
since minimal data lag is needed to inform response efforts. Technical
assistance and resource allocation may be delayed or omitted due to
reduced or dated available information.
We also acknowledge that varying State health departments may also
have reporting requirements for respiratory illness data. However, we
believe that there is value in collecting this information at the
Federal level. The NHSN data reports are accessed by State health
departments to provide actionable data. The CDC monitors downloads of
these reports and provides ongoing support to States and facilities
with these data, showing that the data are actively being used and are
found to be valuable to direct response and vaccination efforts to the
LTC facilities that most need support and intervention. For example,
publicly available national vaccination data are critical for decision
making, targeting outreach for vaccination campaigns efforts, insights
into vaccination disparities and for vaccine effectiveness
studies.\129\ NHSN data was used by the CDC and QIOs to contact
facilities with high vaccination coverage in order to understand the
successful strategies they employed and promote these strategies to
other LTC facilities via webinars. Moreover, information from this
outreach was used to identify and respond to vaccination barriers by
creating tools and resources, such as the Healthcare Provider Toolkit,
to help LTC facilities educate their staff, residents, and families to
remove barriers to vaccination.
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\129\ Wong E, Barbre K, Wiegand RE, Reses HE, Dubendris H,
Wallace M, Dollard P, Edwards J, Soe M, Meng L, Benin A, Bell JM.
Effectiveness of Up-to-Date COVID-19 Vaccination in Preventing SARS-
CoV-2 Infection Among Nursing Home Residents--United States,
November 20, 2022-January 8, 2023. MMWR Morb Mortal Wkly Rep. 2023
Jun 23;72(25):690-693. doi: 10.15585/mmwr.mm7225a4. PMID: 37347711;
PMCID: PMC10328477.
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As noted previously, with this final rule we have streamlined data
reporting to reduce burden, subsequently the CDC reduced reporting
burden by creating a simplified and more efficient reporting form.
Respiratory illness reporting fields for COVID-19, influenza and RSV
are combined into a single data entry form (previously there were
four), providing a significantly simplified and improved user
experience. The CDC has invested in enhanced user support, an improved
helpdesk ticket response system and training tailored to the LTC
community to support the use of NHSN. In addition, there are some
projects underway with LTC industry stakeholders to modernize data
collection as well as improving interoperability with State
Immunization Information Systems.
Comment: A few commenters did not support continued respiratory
virus reporting through the NHSN because of technical challenges with
the NHSN. Several commenters noted that the NHSN system experiences
regular technical issues and lags in service that would be made worse
by the continued and additional reporting by facilities. These
commenters stated that the NHSN is slow and there are lengthy delays
even for small amounts of data. These commenters also expressed concern
that
[[Page 88463]]
the NHSN help desk has long wait times and that the process for staff
to gain initial access to the system is lengthy. Some commenters stated
that there are frequent technical issues with NHSN which could lead
facilities to be non-compliant in data reporting through no fault of
their own. A few commenters expressed concerns about privacy and
sharing sensitive information that could be at risk due to issues such
as data breaches and unauthorized access. A commenter stated that by
adopting these requirements through the CoPs, CMS creates a risk that
facilities may become non-compliant with the CoPs due to NHSN technical
issues.
Response: We appreciate the comments regarding technical challenges
with the NHSN. Through its data modernization efforts, CDC continues to
work to strengthen the support available to the LTC community. The CDC
publishes regularly scheduled updates and associated trainings, for
which they notify the LTC community by email blasts and newsletters.
Training webinars are available for replay and can be accessed in the
NHSN section of the CDC website.\130\ We understand the commenters'
concerns about technical challenges regarding the reporting of the
required information. These concerns about noncompliance due to NHSN
technical issues could be mitigated with documentation of technical
issues and the facility's communication with CDC to get issues
corrected. CMS does not expect LTC facilities to be penalized for
limitations to compliance that are outside of their control, and this
has not been the approach taken by CMS regarding enforcement of the PHE
COVID-19 reporting requirements or the current post-PHE reporting
requirements.
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\130\ https://www.cdc.gov/nhsn/ltc/.
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However, existing requirements at Sec. 483.10(h)(3) set out the
facility's obligation to protect each resident's right to secure and
confidential personal and medical records. CMS expects all LTC
facilities to protect resident data and information. Data breaches and
unauthorized access are important concerns that the facility can
mitigate by establishing clear and strict data security policies;
limiting physical and electronic access to resident data, regular
training on privacy and sharing sensitive information; and using
encryption and secure communication protocols. If a data breach or
unauthorized access occurs that was or should have been within the LTC
facility's control, CMS would evaluate the circumstances for the
performance of that individual LTC facility. For example, if a LTC
facility allowed access to resident medical records to personnel that
had no legitimate reason for access to those records and unauthorized
access occurred, CMS might cite the LTC facility. Data breaches can
impact any entity, even the Federal Government, and we expect that LTC
facilities will take the appropriate actions to correct and limit any
damage or injury to residents from any data breach or unauthorized
access to their medical or other personal information.
Comment: Several commenters recommended that HHS invest in the
infrastructure needed to make the voluntary sharing of important data
on infectious diseases less burdensome. Some of these commenters stated
that this would be particularly important for the PAC setting because
of the relative lack of interoperable electronic health records (EHRs)
across these facilities. A few of these commenters expressed concerns
that establishing requirements for participation for respiratory
illness data reporting may threaten Medicare participation, facility
financial viability, and access to care. Several commenters suggested
that CMS should work with state government, local health departments
and the provider community to determine how best to share data across
entities and what data elements are most valuable in responding to
PHEs, thereby reducing redundancy and administrative burden. Many
commenters recommended that CMS collaborate with state health agencies
to access surveillance data reported by facilities to mitigate the need
to report to multiple agencies. A few commenters suggested that NHSN be
directed to obtain data from state agencies to reduce duplication of
effort. Commenters also stated that reporting requirements vary across
agencies and recommended aligning these requirements. A commenter
specifically recommended using OSHA's upcoming Infection Disease
Standard to standardize data collection for healthcare professionals, a
group that the commenter stated was omitted from the proposed reporting
requirement.
Response: We thank commenters for their feedback on ways to make
reporting less burdensome. The current lack of interoperability of
electronic health records (EHRs) in the PAC setting makes it even more
important to use the NHSN since it is set up to accept data that is
collected, verified and submitted by all the LTC facilities across the
country, whether they have an EHR system or not. We appreciate the
support for transitioning to, and using, more modern, flexible
approaches and networks that support data exchange between and across
public health and healthcare institutions to modernize the public
health information infrastructure. We also appreciate the suggestion
that NHSN should obtain data from State agencies to reduce provider
burden, however this suggestion is not viable for many reasons,
including the lack of consistent definitions of data elements across
States, the fact that all States do not require data submission of all
data elements that are being finalized, and that States systems may not
be set up to send data to NHSN in the manner that is most valuable for
situational awareness.
Regarding the omission of data collection for healthcare personnel,
we note that we considered the utility of LTC facility respiratory
illness data to monitor and protect residents against respiratory
illnesses and the ongoing need for such data given the diverse
respiratory disease threats. Currently, LTC facilities only report on
staff vaccination status quarterly and we did not believe there was
enough of a use case to support continued mandatory reporting of staff
data. However, we note that at Sec. 483.80(g)(2)(i) we proposed that
LTC facilities would need to report on relevant confirmed infections
for staff in the event of a PHE. Furthermore, staff vaccination status
is currently reported through the SNF Quality Reporting Program (QRP)
under the SNF QRP measure ``COVID-19 Vaccination Coverage among
Healthcare Personnel''.
Comment: Several commenters asserted that they did not support
continued reporting requirements because LTC facilities are the only
healthcare setting that is still being required to report this data.
Some of these commenters expressed that by only requiring this data for
one narrow sample of the population (that is, residents of LTC
facilities) CMS would not be able to track infections across the
overall population.
Response: We thank commenters for their feedback, however, we note
that the assertion is incorrect. CMS finalized proposals for hospitals
and CAHs to continue ongoing (that is outside of a PHE) reporting on
data related to influenza, COVID-19, and RSV to NHSN. In addition, we
finalized proposals for hospital and CAHs to report on additional data
categories that could be required during the event of a declared PHE.
These proposals were finalized on August 28, 2024, as part of the final
rule titled ``Medicare and Medicaid Programs and the Children's Health
Insurance Program; Hospital Inpatient Prospective Payment Systems for
Acute Care Hospitals and the Long
[[Page 88464]]
Term Care Hospital Prospective Payment System and Policy Changes and
Fiscal Year 2025 Rates; Quality Programs Requirements; and Other Policy
Changes'' (89 FR 69913).\131\ The requirements for hospitals and CAHs
will be effective on November 1, 2024, and we refer readers to the
final rule for more detail.
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\131\ https://www.federalregister.gov/documents/2024/08/28/2024-17021/medicare-and-medicaid-programs-and-the-childrens-health-insurance-program-hospital-inpatient.
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Comment: A few commenters recommended that CMS align the decision
on more detailed demographic data reporting requirements for LTC
facilities with the decision finalized for acute inpatient hospitals
and CAHs finalized in the FY 2025 inpatient PPS final rule. These
commenters stated that the Federal standards for the collection of race
and ethnicity are currently being revised, with a compliance deadline
of October 2025 for Federal agencies to develop their plans to comply
with these new standards and a deadline of March 2029 to come into full
compliance. Commenters expressed concern that as these standards are
being implemented, CMS could adopt a set of requirements that could
swiftly change. A few commenters requested clarification on whether CMS
is seeking to collect aggregate or patient-level data. Many commenters
also stated that LTC facilities currently use MDS to collect
information related to demographics and recommended not duplicating
this data collection. These commenters did not support including race,
ethnicity, and socioeconomic status in the respiratory virus reporting
requirements because of concerns that this would increase the time
needed for data collection and reporting.
Response: We thank commenters for the information and perspectives
on the collection and submission of demographic data. While we are not
expanding the collection of demographic data at this time due to the
need to further refine this concept and the January 1, 2025, effective
date of this reporting requirement, we acknowledge that not collecting
this data would represent a gap in epidemiological information. We
believe that demographic data plays an important role in informing
healthcare decisions that ultimately impact the health and safety of
residents. We intend to continue to explore ways to facilitate and
strengthen the collection of additional demographic data in the future.
Comment: A commenter expressed concern that these proposed
requirements were not proposed in the SNF PPS proposed rule. This
commenter stated that HH PPS proposed rule is an inappropriate setting
for LTC rulemaking and recommended that CMS only adopt policies that
affect LTC facilities in rulemaking that applies to those facilities.
This commenter also recommended adjusting payment rates for LTC
facilities to accommodate the increased burden of reporting.
Response: We note that issues related to payment policy are outside
the scope of the health and safety standards and LTC requirements for
participation. We appreciate the concern that some commenters expressed
regarding the use of the home health prospective payment rule as the
CMS regulatory vehicle to notify the public of our proposal for LTC
acute respiratory illness data reporting. It is typical practice for
CMS to leverage differing regulatory vehicles to issue our regulatory
priorities, especially as it relates to the issuance of policy updates
for the Medicare health and safety standards. For example, the current
post-PHE COVID-19 reporting requirements were issued on November 9,
2021, as part of the CY 2022 Home Health Prospective Payment System
(PPS) final rule.\132\ The importance of the reporting requirements
coupled with the December 2024 expiration of the current post-PHE
COVID-19 reporting requirements at Sec. 483.80 necessitated the use of
this regulatory vehicle as a viable option to communicate this action.
We encourage readers to regularly review OMB's Unified Agenda \133\ and
to sign up to receive email updates to get the latest information about
your choice of CMS topics, but specifically timely information
regarding activities and initiatives that may impact LTC facilities.
Those interested can find a field at the bottom of CMS.gov to enter
their email addresses and sign up for updates.\134\
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\132\ 86 FR 62240; https://www.federalregister.gov/documents/2021/11/09/2021-23993/medicare-and-medicaid-programs-cy-2022-home-health-prospective-payment-system-rate-update-home.
\133\ https://www.reginfo.gov/public/do/eAgendaMain.
\134\ https://www.cms.gov/.
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Final Rule Action: We are finalizing our proposal to require
ongoing respiratory illness reporting in a modified form as proposed.
LTC facilities, in a standardized format and frequency specified by the
Secretary, must electronically report information on acute respiratory
illnesses, including influenza, SARS-CoV-2/COVID-19, and RSV, facility
census (defined as the total number of residents occupying a bed at
this facility for at least 24 hours during the week of data
collection), resident vaccination status, confirmed resident cases, and
hospitalized residents with confirmed cases.
b. Collection of Additional Data Elements During a PHE
The COVID-19 PHE strained the healthcare system substantially,
introducing new safety risks and negatively impacting patient and
resident safety in the normal delivery of care. Data from the pandemic
showed that the incidence of healthcare-associated infections would
increase when COVID-19 hospitalizations were high,\135\ a feedback loop
between increased stress on hospitals, LTC facilities, illness in the
community, and patient and resident health and safety. Degradation in
other measures of resident safety, including pressure ulcers and falls,
further demonstrate how the strains associated with surge response
adversely affect routine safety practices.136 137
Specifically in LTC facilities, the significant adverse health impacts
on residents caused by COVID-19 went far beyond the direct effects of
COVD-19 morbidity and mortality.\138\ Given the unprecedented impacts
of, and learnings derived from, the COVID-19 PHE, we believe that it is
imperative to enhance preparedness and resiliency to improve health
system responses to future threats, including pandemics that pose
catastrophic risks to resident safety. As such, we proposed to require
additional data reporting in the event of an acute respiratory illness
PHE, or after the Secretary's determination that a significant threat
of one exists.
---------------------------------------------------------------------------
\135\ Continued increases in the incidence of healthcare-
associated infection (HAI) during the second year of the coronavirus
disease 2019 (COVID-19) pandemic [verbar] Infection Control &
Hospital Epidemiology [verbar] Cambridge Core; https://www.nejm.org/doi/full/10.1056/NEJMp2118285; The impact of coronavirus disease
2019 (COVID-19) on healthcare-associated infections in 2020: A
summary of data reported to the National Healthcare Safety Network--
PubMed (nih.gov) (https://pubmed.ncbi.nlm.nih.gov/34473013/); Impact
of COVID-19 pandemic on central-line-associated bloodstream
infections during the early months of 2020, National Healthcare
Safety Network--PubMed (nih.gov) (https://pubmed.ncbi.nlm.nih.gov/33719981/).
\136\ Falls Risk in Long-Term Care Residents With Cognitive
Impairment: Effects of COVID-19 Pandemic--PubMed (nih.gov) (https://pubmed.ncbi.nlm.nih.gov/38104633/).
\137\ https://www.nejm.org/doi/full/10.1056/NEJMp2118285.
\138\ The Adverse Effects of the COVID-19 Pandemic on Nursing
Home Resident Well-Being--PMC (nih.gov) (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7980137/).
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Specifically, we proposed that during a declared national, State,
or local PHE for a respiratory infectious disease (or if the Secretary
determines a significant
[[Page 88465]]
threat for one exists) the Secretary may require facilities to report:
Data up to a daily frequency without additional notice and
comment rulemaking.
Additional or modified data elements relevant to the PHE,
including relevant confirmed infections among staff, supply inventory
shortages, staffing shortages, and relevant medical countermeasures and
therapeutic inventories, usage, or both.
If the Secretary determines that an event is significantly
likely to become a PHE for an infectious disease, the Secretary may
require LTC facilities to report additional or modified data elements
without notice and comment rulemaking.
We invited comments on whether there should be limits to the data
the Secretary can require without notice and comment rulemaking during
a PHE, such as limits on the duration of additional reporting or the
scope of the jurisdiction of reporting (that is, State or local PHEs).
We also sought comments on whether and how the Secretary should still
seek stakeholder feedback on additional elements during a PHE without
notice and comment rulemaking and how HHS should notify LTC facilities
of new required infectious disease data. Furthermore, we invited
comments on the evidence HHS should provide to demonstrate that--(1) an
event is ``significantly likely to become a PHE''; or (2) the increased
scope of required data will be used to protect resident and community
health and safety. We also invited comments on the utility and burden
of specifically staffing and supply shortage data we propose to collect
during national, State, or local PHE for a respiratory infectious
disease (or if the Secretary determines a significant threat for one
exists). Based on LTC facilities experience with the COVID-19 PHE, how
could HHS collect this data specifically in a way that would be
beneficial to LTC facilities?
Comment: Many commenters did not support adopting a policy which
would allow the Secretary to require reporting without going through
notice and comment rulemaking because this would deny an opportunity
for those impacted by a rule to offer feedback and advocate for
changes. Some commenters also expressed concern that changing
requirements during a PHE could lead to unintentional non-compliance. A
few commenters expressed concerns about the lack of any legal standard
for a ``significantly likely'' PHE and stated that there is no
statutory or other authority allows the Secretary to change mandatory
reporting requirements based on a ``significantly likely'' PHE. These
commenters stated that the term PHE has a specific meaning in statute
and regulation, and the declaration of a PHE authorizes CMS to exercise
significant flexibilities and powers intended to expedite the
regulatory process. The commenters expressed concern regarding the
precedent of CMS or any other Federal agency using such a vague
categorization to circumvent the notice and comment rulemaking process.
A commenter stated that the ability to waive notice and comment
requirements only applies to voluntary information collections during a
declared PHE and therefore, under the Paperwork Reduction Act (PRA) the
Director of OMB would be required to review and approve any waiver of
notice and comment rulemaking.
Response: We appreciate the responses regarding our proposal for
reporting respiratory illness data during a PHE. We understand the need
for clarity when PHE-related data reporting is required. At the time of
a PHE declaration, clarification and guidance from the Secretary will
occur so that LTC facilities will know what related data elements are
activated for reporting. We expect to use a communication mechanism,
such as a Quality Safety and Oversight Memo, that is readily available
to the public, nationally accessible, and familiar to stakeholders, to
ensure clarity and access to necessary information. Protecting
residents during a PHE demands that we have better visibility and data
on the spread and impact of an acute respiratory illness in the
nation's LTC facilities. A PHE declaration signals that focused and
timely actions are needed so that responses are actionable and
appropriate. The time it would take for a notice and comment period
would delay the reporting and analysis of data and subsequent
interventions that promote health and safety in facilities.
We recognize the concerns raised regarding the proposal to require
increased PHE reporting in the likely event of a PHE. In response to
the concerns raised we are withdrawing the proposal that the Secretary
may require increased reporting in the event of a likely PHE. We
encourage LTC facilities to use their required emergency preparedness
plans and policies and procedures (Sec. 483.73) to promote readiness
and actions that could reduce burden during a resource intense time
(that is, during a PHE).
Comment: Many commenters expressed concern that changing reporting
requirements during a PHE or an event significantly likely to become a
PHE could lead to excessive administrative burden with limited
benefits. Some of these commenters stated that daily reporting would
take time away from resident care and infection control efforts. Some
commenters stated that reporting data during the COVID-19 PHE did not
lead to improved resources (such as distribution of PPE) but that it
did lead to facilities being blamed for their challenges in addressing
the pandemic. A commenter recommended considering supportive outreach
to facilities, such as by QIOs, during future PHEs or events
significantly likely to become a PHE.
Response: We thank the commenters for their concerns about
increased data reporting during a PHE and the potential administrative
burden with limited benefits. The best way targeted support can be
provided during a PHE is to be aware of the what the facility needs. A
data driven approach will ensure that LTC facilities, local and state
health departments, CDC and HHS can identify trends so that mitigation
strategies can be implemented quickly, and facilities can improve
residents' health and safety and reduce the spread of illness. The CDC
reduced reporting burden to facilities by streamlining reporting data
entry forms, enhanced user support, has implemented an improved
helpdesk ticket response system and increased staffing and training for
addressing NHSN user issues. The QIOs can monitor data in almost real
time (both the streamlined weekly data and the expanded data
requirements during a PHE) with minimal data lag to direct response
efforts to outbreaks among nursing home residents. Some examples of
interventions made during the COVID PHE include community pharmacy
vaccine clinics, vaccine education tools, testing kits and ad
campaigns.
Final Decision: We are finalizing as proposed our proposal to
require additional reporting during a declared national, State, or
local PHE for an acute infectious illness. We have withdrawn our
proposal to require additional reporting if the Secretary determines
that an event is ``significantly likely'' to become a PHE for an
infectious disease. During a declared national, State, or local PHE for
an acute infectious illness the Secretary may require reporting of data
elements relevant to confirmed infections for staff, supply inventory
shortages, staffing shortages, and relevant medical countermeasures and
therapeutic inventories, usage, or both.
[[Page 88466]]
VII. Provider Enrollment--Provisional Period of Enhanced Oversight
A. Background
1. Overview of Medicare Provider Enrollment
Section 1866(j)(1)(A) of the Act requires the Secretary to
establish a process for the enrollment of providers and suppliers into
the Medicare program. The overarching purpose of the enrollment process
is to help confirm that providers and suppliers seeking to bill
Medicare for services and items furnished to Medicare beneficiaries
meet all applicable Federal and State requirements to do so. The
process is, to an extent, a ``gatekeeper'' that prevents unqualified
and potentially fraudulent individuals and entities from entering and
inappropriately billing Medicare. Since 2006, we have undertaken
rulemaking efforts to outline our enrollment procedures. These
regulations are generally codified in 42 CFR part 424, subpart P
(currently Sec. Sec. 424.500 through 424.575). They address, among
other things, requirements that providers and suppliers must meet to
enroll in Medicare.
As outlined in Sec. 424.510, one such requirement is that the
provider or supplier must complete, sign, and submit to its assigned
Medicare Administrative Contractor (MAC) the appropriate enrollment
form, typically the Form CMS-855 (OMB Control No. 0938-0685). The Form
CMS-855, which can be submitted via paper or electronically through the
internet-based Provider Enrollment, Chain, and Ownership System (PECOS)
process (System of Records notice (SORN): 09-70-0532, PECOS), collects
important information about the provider or supplier. Such data
includes, but is not limited to, general identifying information (for
example, legal business name), licensure and/or certification data,
ownership information, and practice locations. The application is used
for a variety of provider enrollment transactions, including the
following:
Initial enrollment--The provider or supplier is--(1)
enrolling in Medicare for the first time; (2) enrolling in another
Medicare contractor's jurisdiction; or (3) seeking to enroll in
Medicare after having previously been enrolled.
Change of ownership--The provider or supplier is reporting
a change in its ownership.
Revalidation--The provider or supplier is revalidating its
Medicare enrollment information in accordance with Sec. 424.515.
(Suppliers of durable medical equipment, prosthetics, orthotics, and
supplies (DMEPOS) must revalidate their enrollment every 3 years; all
other providers and suppliers must do so every 5 years.)
Reactivation--The provider or supplier is seeking to
reactivate its Medicare enrollment and billing privileges after it was
deactivated in accordance with Sec. 424.540.
Change of information--The provider or supplier is
reporting a change in its existing enrollment information in accordance
with Sec. 424.516.
After receiving the provider's or supplier's initial enrollment
application, CMS or the MAC reviews and confirms the information
thereon and determines whether the provider or supplier meets all
applicable Medicare requirements. We believe this screening process has
greatly assisted CMS in executing its responsibility to prevent
Medicare fraud, waste, and abuse.
As previously discussed, over the years we have issued various
final rules pertaining to provider enrollment. These rules were
intended not only to clarify or strengthen certain components of the
enrollment process but also to enable us to take action against
providers and suppliers: (1) engaging (or potentially engaging) in
fraudulent or abusive behavior; (2) presenting a risk of harm to
Medicare beneficiaries or the Medicare Trust Funds; or (3) that are
otherwise unqualified to furnish Medicare services or items. Consistent
with this, and as we discuss in section VII.B. of this final rule, we
proposed a change to our existing Medicare provider enrollment
regulations.
2. Legal Authorities
There are two principal categories of legal authorities for the
Medicare provider enrollment provision addressed in section VII.B. of
this final rule:
Section 1866(j) of the Act furnishes specific authority
regarding the enrollment process for providers and suppliers.
Sections 1102 and 1871 of the Act provide general
authority for the Secretary to prescribe regulations for the efficient
administration of the Medicare program.
B. Provisional Period of Enhanced Oversight (PPEO)
1. Background
Section 1866(j)(3)(A) of the Act states that the Secretary shall
establish procedures to provide for a provisional period of between 30
days and 1 year during which new providers and suppliers--as the
Secretary determines appropriate, including categories of providers or
suppliers--will be subject to enhanced oversight. (Per section
1866(j)(3)(A) of the Act, such oversight can include, but is not
limited to, prepayment review and payment caps.) CMS' authority under
section 1866(j)(3)(A) of the Act to impose a PPEO is not restricted to
certain provider and supplier types (for example, hospices) but can
apply to any provider or supplier type the Secretary determines
appropriate.
As authorized by section 1866(j)(3)(B) of the Act, we previously
implemented such procedures through subregulatory guidance with respect
to newly enrolling HHAs' requests for anticipated payments (RAP).\139\
More recently, in July 2023 we began placing new hospices located in
Arizona, California, Nevada, and Texas in a provisional period of
enhanced oversight. (See https://www.cms.gov/files/document/mln7867599-period-enhanced-oversight-new-hospices-arizona-california-nevada-texas.pdf for more information.)
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\139\ CMS eliminated the use of RAPs for HHAs; beginning January
1, 2022, CMS replaced RAP submissions with a Notice of Admission.
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During the PPEO involving HHA RAPs, CMS received several
stakeholder requests for clarification regarding the PPEO's scope. One
of these concerned the meaning of the term ``new'' for purposes of
applying a PPEO. While section 1866(j)(3)(B) of the Act states that we
may implement procedures by program instruction, we finalized new Sec.
424.527(a) in the CY 2024 HH PPS final rule to address this issue.
Specifically, new Sec. 424.527(a)(1) through (3) defined a ``new''
provider or supplier (again, exclusively for purposes of our PPEO
authority under section 1866(j)(3) of the Act) as any of the following:
A newly enrolling Medicare provider or supplier. (This
includes providers that must enroll as a new provider per the change in
majority ownership provisions in Sec. 424.550(b).)
A certified provider or certified supplier undergoing a
change of ownership consistent with the principles of 42 CFR 489.18.
(This includes providers that qualify under Sec. 424.550(b)(2) for an
exception from the change in majority ownership requirements in Sec.
424.550(b)(1) but which are undergoing a change of ownership under 42
CFR 489.18.)
A provider or supplier (including an HHA or hospice)
undergoing a 100 percent change of ownership via a change of
information request under Sec. 424.516.
[[Page 88467]]
We included these transactions within this definition because they
have historically involved the effective establishment of a new
provider or supplier for purposes of Medicare enrollment. For this
reason, we have also received recent inquiries as to whether a
reactivation should fall within the scope of Sec. 424.527(a).
Under Sec. 424.540 and the definition of ``deactivate'' in Sec.
424.502, a deactivated provider's or supplier's enrollment and billing
privileges are ``stopped but can be restored upon the submission of
updated information.'' This restoration, or reactivation, generally
involves: (1) the completion of a full Form CMS-855 application; and
(2) a CMS or MAC determination as to whether the provider or supplier
meets all enrollment requirements. These two steps generally mirror
what occurs with the initial and change of ownership applications
referenced in Sec. 424.527(a). Although a deactivation does not rise
to the level of a revocation of Medicare enrollment and billing
privileges under Sec. 424.535--for a revocation bars the provider or
supplier from reenrolling in Medicare for a period of 1 to 10 years
(with certain exceptions)--a deactivated provider or supplier cannot
resume billing Medicare until the requirements for reactivation are
met. It has, in effect, been blocked from the Medicare program. Indeed,
as with a provider or supplier that voluntarily terminated its Medicare
enrollment and now seeks to rejoin the program via an initial, new
enrollment application, a reactivating provider, too, is requesting to
rejoin the program. Described otherwise, a reactivating provider or
supplier is resuming its involvement in the Medicare program after a
stoppage (which, at least for practical and operational purposes,
amounts to a loss) of Medicare enrollment and billing privileges. From
this standpoint, we thus believe that a reactivating provider or
supplier is no less ``new'' (for provider enrollment purposes) than one
that is initially enrolling or undergoing a change of ownership.
For these and other reasons discussed in the proposed rule, we
proposed to add a new paragraph (a)(4) to Sec. 424.527 that includes
providers and suppliers that are reactivating their enrollment and
billing privileges under Sec. 424.540(b). We elected to address this
issue via rulemaking in Sec. 424.527(a)(4). However, we retain the
authority under section 1866(j)(3)(B) of the Act to establish and
implement PPEO procedures via sub-regulatory guidance.
We received approximately 20 comments on our proposal. Summaries
thereof and our responses are attached.
Comment: Several commenters supported our proposed change.
Response: We appreciate the commenters' support.
Comment: A commenter stated that 1 year of additional oversight is
a reasonable timeframe for enhanced oversight but should not extend
beyond that period unless there is reasonable evidence that non-
compliance is occurring. Another commenter stated that CMS should
outline in the final rule the methods it uses to determine the length
of a PPEO.
Response: While we appreciate these comments, they do not directly
pertain to the subject of our PPEO proposal, which is the expansion of
the ``new provider or supplier'' definition to include reactivations.
They instead involve the broader operational aspects of the overall
PPEO process. Therefore, we respectfully believe they are outside the
scope of this final rule.
Comment: Several commenters stated that CMS must furnish clear
guidance to providers and suppliers under a PPEO concerning: (1) the
PPEO's implementation and activities; (2) timelines for review; (3)
appeals processes; (4) provider education; and (5) CMS' criteria for
imposing sanctions and penalties.
Response: We appreciate these comments but respectively believe
they are outside the scope of this final rule.
Comment: A commenter urged CMS to target any PPEO towards providers
and suppliers engaging in egregious conduct rather than those
furnishing services in good faith.
Response: We appreciate this comment but respectively believe it is
outside the scope of this final rule.
Comment: A commenter recommended that PPEOs use pre-claim review
for specific claim edits or targeted probe and educate audits to ensure
that conditions of payment are met.
Response: We appreciate this comment but respectively believe it is
outside the scope of this final rule.
Comment: A commenter stated that CMS should go beyond the
application of PPEOs and take further measures to address program
integrity issues, especially among home health agencies (HHAs). This
could include, for example, greater scrutiny of HHA owners, publication
and auditing of ownership data, and closer monitoring of patient care.
Response: We appreciate this comment but respectively believe it is
outside the scope of this final rule.
Comment: A commenter expressed concern that provider and supplier
claims can be subject to multiple types of CMS reviews at the same
time, such as Unified Program Integrity Contractor audits,
Comprehensive Error Rate Testing reviews, and now PPEOs. The commenter
believed that performing these reviews concurrently is unnecessary and
places an undue burden on the affected provider or supplier. The
commenter suggested that CMS cease these simultaneous reviews and
instead combine them into a single review or, if this is not possible,
limit the scope and number of concurrent reviews.
Response: We appreciate this comment but respectively believe it is
outside the scope of this final rule.
Comment: A commenter stated that CMS should consider the
deactivation reason in determining whether a reactivating provider or
supplier should be subject to a PPEO. More specifically, the commenter
recommended limiting PPEO application to reactivating providers and
suppliers that were deactivated for a verifiable instance of non-
compliance with enrollment requirements.
Response: We believe the commenter is referencing Sec.
424.540(a)(4), which permits deactivation based on enrollment non-
compliance. As we explained at length in the proposed rule, there are
deactivation reasons other than Sec. 424.540(a)(4) that involve
provider or supplier non-compliance. These include all of the
following:
Failing to report a change to the provider's or supplier's
enrollment information within the required timeframe (Sec.
424.540(a)(2)).
Failing to timely respond to a revalidation request (Sec.
424.540(a)(3)).
Having a non-operational or otherwise invalid practice
location (Sec. 424.540(a)(5)).
Section 424.540(a)(1), meanwhile, permits deactivation if the
provider or supplier has not billed Medicare for 6 or more consecutive
months. A reactivation request after many months of billing inactivity
could raise questions as to whether, for instance: (1) the provider or
supplier will remain compliant with Medicare enrollment requirements
once reactivated; or (2) another party has compromised the provider's
or supplier's deactivated billing privileges and seeks to fraudulently
bill Medicare via the latter's reactivated enrollment. Indeed, we noted
in the proposed rule that we have identified these latter scenarios and
believe that using a PPEO to closely monitor reactivated providers or
suppliers that had been deactivated under Sec. 424.540(a)(1) would
help ensure program integrity.
[[Page 88468]]
The proposed rule also noted the deactivation reasons in Sec.
424.540(a)(6) through (8). These are, respectively: (1) the provider or
supplier is deceased; (2) the provider or supplier has voluntarily
withdrawn from Medicare; and (3) the provider is the seller in an HHA
ownership change under Sec. 424.550(b). In each of these situations,
the provider has departed the Medicare program, meaning the provider in
effect is no longer compliant with Medicare enrollment requirements
since it is not actively enrolled. If a provider that was deactivated
under Sec. 424.540(a)(7) or (8) is seeking to reenter the program,
therefore, we must ensure the provider is not only compliant with
Medicare enrollment requirements but also remains such during the
period following its enrollment--hence the importance of the PPEO. A
requested reactivation of a provider that was deactivated under Sec.
424.540(a)(6) raises particularly serious concerns, for the requesting
party might be attempting to use the deceased provider's identity to
enter and fraudulently bill Medicare.
In sum, we believe that each reactivation scenario, regardless of
the underlying deactivation reason, requires thorough scrutiny of the
reactivating provider via the PPEO.
Comment: A commenter stated that providers and suppliers that do
not appear to be reactivating for inappropriate purposes (for example,
fraud) should be exempt from a PPEO. The commenter believed this could
include, for instance, providers and suppliers that had been
deactivated for 6 consecutive months of Medicare non-billing or for
failing to respond to a revalidation request.
Response: We previously explained that when a provider or supplier
is reactivating its Medicare enrollment, it is, to some degree,
reentering the Medicare program as would a new provider or supplier or
one undergoing an ownership change. Given some of the similarities of
these three transaction types in terms of CMS scrutiny and screening of
their incoming CMS enrollment applications, we believe it is proper to
apply a PPEO to all reactivating providers and suppliers irrespective
of the deactivation reason. Moreover, part of the PPEO's purpose is to
ensure that the reactivating provider or supplier is not reentering
Medicare with nefarious objectives. To the extent the commenter is
suggesting we do so, we cannot automatically assume the provider or
supplier has no intent to engage in fraud, waste, or abuse based solely
on the reason for their deactivation. To illustrate, we have noted that
a provider or supplier reactivating their enrollment after 6
consecutive months of non-billing may, in fact, be a party that has
compromised that provider's or supplier's deactivated billing
privileges. PPEO(s) help us confirm that this is not the case, and that
the provider or supplier is legitimate and compliant. We thus
respectfully decline the commenter's recommended exemption.
Comment: A commenter appeared to suggest that instead of applying a
PPEO to reactivating providers and suppliers that were deactivated for
enrollment non-compliance, CMS could instead require the reactivating
provider or supplier to: (1) undergo CMS Medicare Learning Network
(MLN)-based training; or (2) participate in a performance improvement
plan (PIP).
Response: We respectfully disagree. In our view, neither of the
commenter's recommended alternatives furnish the level of CMS scrutiny
that a PPEO provides. For example, they would not involve a detailed
CMS review of claim accuracy or billing patterns, actions that are
possible under a PPEO and help ensure that a reactivated provider or
supplier is not engaging in fraud, waste, or abuse. Indeed, preventing
such conduct and facilitating program integrity are the central
purposes of a PPEO, and we do not believe that training and PIPs,
though useful, can by themselves sufficiently fulfill these aims.
After considering the comments we received, we are finalizing our
proposed change to Sec. 424.527(a)(4) without modification.
VIII. Collection of Information Requirements
A. Statutory Requirement for the Solicitation of Comments
Under the Paperwork Reduction Act of 1995, we are required to
provide a 60-day notice in the Federal Register and solicit public
comment before a collection of information requirement is submitted to
the Office of Management and Budget (OMB) for review and approval. In
order to fairly evaluate whether an information collection should be
approved by OMB, section 3506(c)(2)(A) of the Paperwork Reduction Act
of 1995 requires that we solicit comment on the following issues:
The need for the information collection and its usefulness
in carrying out the proper functions of our agency.
The accuracy of our estimate of the information collection
burden.
The quality, utility, and clarity of the information to be
collected.
Recommendations to minimize the information collection
burden on the affected public, including automated collection
techniques.
B. Information Collection Requirements (ICRs)
In the CY 2025 HH PPS rule, we solicited public comment on each of
these issues for the following sections of this document that contain
information collection requirements (ICRs).
1. ICRs for HH QRP
As discussed in section III.D.3. of this rule, we proposed to
collect four additional items as standardized patient assessment data
elements and modified one item collected as a standardized patient
assessment data element beginning with the CY 2027 HH QRP. The four
assessment items proposed for collection are (1) Living Situation, (2)
Food Runs Out, (3) Food Doesn't Last, and (4) Utilities. We also
propose replacing the current Access to Transportation item with a
revised Transportation (Access to Transportation) item beginning with
the CY 2027 HH QRP as outlined in section III.D.5. of this rule. All
elements discussed will be collected at the start of care timepoint. We
assumed the Living Situation and Utilities data elements require 0.3
minutes each of clinician time to complete. We assumed the Food Runs
Out and Food Doesn't Last data elements require 0.15 minutes each of
clinician time to complete. We assumed the replacement of the current
Access to Transportation item with a revised Transportation will not
result in a change in burden. Therefore, we estimated that there will
be an increase in clinician burden per OASIS assessment of 0.9 minutes
at start of care.
As stated in section III.E. of this rule, CMS also proposed an
update to the removal of the suspension of OASIS all-payer data
collection to change all-payer data collection beginning with the start
of care OASIS data collection timepoint instead of discharge timepoint.
There is no associated change in burden resulting from this provision
as burden for collection of for non-Medicare/non-Medicaid patients at
all OASIS data collection timepoints was estimated in the CY 2023 HH
PPS final rule.
The net effect of these provisions is an increase in four data
elements collected at the start of care for the OASIS implemented on
January 1, 2027.
For purposes of calculating the costs associated with the
information collection requirements, we obtained median hourly wages
for these from the U.S. Bureau of Labor Statistics' May 2023 National
Occupational Employment and Wage Estimates
[[Page 88469]]
(https://www.bls.gov/oes/current/oes_nat.htm). To account for other
indirect costs such as overhead and fringe benefits (100 percent), we
have doubled the hourly wage. These amounts are detailed in table 28.
[GRAPHIC] [TIFF OMITTED] TR07NO24.058
The OASIS is completed by RNs or PTs, or very occasionally by
occupational therapists (OT) or speech language pathologists (SLP/ST).
Data from 2021 show that the SOC/ROC OASIS is completed by RNs
(approximately 77.14 percent of the time), PTs (approximately 22.16
percent of the time), and other therapists, including OTs and SLP/STs
(approximately 0.7 percent of the time). Based on this analysis, we
estimated a weighted clinician average hourly wage of $85.73, inclusive
of fringe benefits, using the hourly wage data in table 28 0.7714 x
82.76 + 0.2216 x 95.98 + 0.007 x 89.26 = 85.74. Individual providers
determine the staffing resources necessary.
For purposes of estimating burden, we compare the item-level burden
estimates for the OASIS that will be released on January 1, 2027, to
the OASIS-E1 as anticipated for implementation as of January 1, 2025,
and finalized in CY2024 HH PPS final rule. The first component needed
to calculate burden is the total estimated assessments for each year in
question. Table 29 shows the total number of OASIS assessments that
HHAs completed in CY 2023 at start of care and resumption of care. It
also outlines the estimated assessments that are expected to be
collected in 2025 based on a 30 percent increase in completed
assessments required for all payer data submission requirements for
(CY23 assessment total + CY23 assessment total *0.3 = Estimated CY25
Assessment total based on all payer data collection).
[GRAPHIC] [TIFF OMITTED] TR07NO24.059
The totals from table 29 are used to calculate the hourly burden
estimates in table 30 based on the following calculations:
Start of Care
Estimated time spent per each 2025 OASIS-E1 SOC Assessment/Patient =
56.4 clinician minutes
200 data elements x (range of 0.15 to 0.3) minutes per data element =
56.4 minutes of clinical time spent to complete data entry for the
OASIS-E1 SOC assessment
21 data elements counted as 0.15 minutes/data element
(3.15 minutes)
9 data elements counted as 0.25 minutes/data element (2.25
minutes)
170 data elements counted as 0.30 minutes/data element (51
minutes)
Clinician Estimated hourly burden for all HHAs (11,904) for 2025 OASIS-
E1 SOC assessments = 8,099,309 hours
56.4 clinician minutes per SOC assessment x 8,616,286 assessments =
485,958,530 minutes/60 minutes per hour = 8,099,309 hours for all HHAs
Estimated time spent per each 2027 OASIS SOC Assessment/Patient = 57.3
clinician minutes
204 data elements x (range of 0.15 to 0.3) minutes per data element =
57.3 minutes of clinical time spent to complete data entry for the
OASIS SOC assessment
23 data elements counted as 0.15 minutes/data element
(3.45 minutes)
9 data elements counted as 0.25 minutes/data element (2.25
minutes)
172 data elements counted as 0.30 minutes/data element
(51.6 minutes)
Clinician Estimated hourly burden for all HHAs (11,904) for 2027 OASIS
SOC assessments = 8,228,553 hours
57.3 clinician minutes per SOC assessment x 8,616,286 assessments =
493,713,188 minutes/60 minutes per hour = 8,228,553 hours for all HHAs
Resumption of Care
Estimated time spent per each 2025 OASIS-E1 ROC Assessment/Patient =
47.1 minutes
169 data elements x (range of 0.15 to 0.3) minutes per data element =
47.1 minutes of clinical time spent to complete data entry for the
OASIS-E1 ROC assessment
19 data elements counted as 0.15
[[Page 88470]]
minute/data element (2.85 minutes)
9 data elements counted as 0.25 minute/data element (2.25
minutes)
140 data elements counted as 0.30 minute/data element (42
minutes)
Clinician Estimated Hourly Burden for all HHAs for 2025 OASIS-E1 ROC
assessments = 823,310 hours
47.1 clinician minutes per ROC assessment x 1,184,618 ROC assessments
=55,795,508 minutes/60 minutes = 929,925 hours for all HHAs
Estimated time spent per each 2027 OASIS ROC Assessment/Patient = 48
minutes
173 data elements x (range of 0.15 to 0.3) minutes per data element =
48 minutes of clinical time spent to complete data entry for the OASIS
ROC assessment
21 data elements counted as 0.15 minute/data element (3.15
minutes)
9 data elements counted as 0.25 minute/data element (2.25
minutes)
142 data elements counted as 0.30 minute/data element
(42.6 minutes)
Clinician Estimated Hourly Burden for all HHAs for 2027 OASIS ROC
assessments = 947,694 hours
48 clinician minutes per ROC assessment x 1,184,618 ROC assessments =
56,861,664 minutes/60 minutes = 947,694 hours for all HHAs
Table 30 summarizes the estimated clinician hourly burden for the
OASIS that will be implemented in 2027 with the proposed rule's changes
of an increase in four data elements at start of care and resumption of
care compared to the anticipated 2025 OASIS-E1 burden. This is
calculated by multiplying the total number of assessments by the
increase in assessment time required. We calculated the 2025 and 2027
burden estimate in minutes and then calculated an hourly burden shown
in table 30. We estimated a net increase of 147,013 hours of clinician
burden across all HHAs or 12.35 hours (147,013/11,904) for each of the
11,904 active HHAs.
[GRAPHIC] [TIFF OMITTED] TR07NO24.060
Table 31 summarizes the estimated clinician costs for the 2025
OASIS-E1 and the 2027 OASIS with the net addition of four data elements
at start of care using CY 2023 BLS wage inputs. Total clinician cost
for 2025 and 2027 is estimated by multiplying total hourly burden for
each year as reported in table 31 by the weighted clinician average
hourly wage of $85.74. We then calculated the difference in clinician
estimated costs between 2027 and 2025. This calculates the estimated
increase in costs associated with adding the four data elements at
start of care and resumption of care. We estimated an increase in
clinician costs $12,604,894.62 between 2027 and 2025 related to the
implementation of the proposals outlined in this rule across all HHAs
or a $1,058.88 increase ($12,604,894.62/11,904) for each of the 11,904
active HHAs. This increase in burden will begin with the January 1,
2027, OASIS assessments.
[GRAPHIC] [TIFF OMITTED] TR07NO24.061
Comment: Commenters that supported the proposal expressed concerns
about implementation including that the vendors be provided enough time
to prepare for the changes, that home health agencies be provided time
and resources to educate staff on the changes, that OASIS revisions are
too frequent and burdensome for agencies and that implementation of the
proposal would be burdensome. Some commenters cautioned that SDOH needs
identified must be addressed, and one suggested that CMS should provide
additional reimbursement to HHAs for the follow-up required to address
identified needs.
Response: We acknowledge the commenters' concerns and appreciate
their suggestions. We proposed the SDOH data elements in the CY 2025 HH
PPS proposed rule with an effective date to begin collection via the
OASIS instrument of January 1, 2027, to ensure that vendors and HHAs
have sufficient time to prepare for implementation. We will make
training available to HHAs on the changes to the OASIS, consistent with
education and training resources for previous revisions to the OASIS
instrument. We acknowledge that revisions to the OASIS require time and
effort and resources for providers to prepare for the changes and we
are committed to proposing revisions to the OASIS no more frequently
than every 2 years. We agree that patients' needs should be addressed
by the HHA, consistent with applicable rules and regulations, although
we note that the proposal does not specify a requirement
[[Page 88471]]
for how HHAs may address patients' needs.
Comment: Commenters that did not support the proposal acknowledged
that SDOH information is important but adding four data elements to the
OASIS and modifying a fifth would be burdensome. A commenter noted that
revisions to the OASIS are too frequent and recommended that CMS limit
revisions to intervals of no less than 4 years. Another commenter
suggested that the proposed living situation data element is
duplicative of information that is already collected and recommended
that the look-back for the utilities data element be changed from 12
months to three to capture more reliable, valid, and timely
information. Another commenter encouraged CMS to consider using SDOH
information as part of the risk-adjusted outcome quality measures. A
commenter stated the proposal is not aligned with health-related social
needs reporting requirements across the care continuum and that further
testing and refinement are needed to ensure the proposed items work as
intended in this setting. This commenter noted that CMS' evaluation of
the AHC HRNS screening tool in the AHC Model showed that screening did
not appear to increase beneficiary connection to community resources or
health-related social need resolution, and they recommended CMS conduct
further testing and developing clearer implementation guidance before
adopting the proposed data elements in the HHQRP.
Response: We acknowledge the commenters' concerns and appreciate
their suggestions. As previously stated, we acknowledge that revisions
to the OASIS require time and effort and resources for providers to
prepare for the changes and we are committed to proposing revisions to
the OASIS no more frequently than every 2 years. We disagree that the
proposed Living Situation data element is duplicative of information
that is already collected because it addresses housing insecurity,
which is not part of the information captured in the current OASIS. We
believe that the proposed data elements are not setting-specific, and
that the testing conducted in their development has been sufficiently
rigorous that we can adopt the data elements into the OASIS and the
other PAC instruments with confidence.
After consideration of the public comments received, we are
finalizing our proposal to adopt four new items as standardized patient
assessment data elements in the SDOH category: one living situation
item, two food items, and one utilities item, and to modify the
transportation item in section III.C.D. of this rule beginning January
1, 2027, with the CY 2027 HH QRP.
2. ICRs for the Expanded HHVBP Model
The RFI and the health equity update for the expanded HHVBP Model
included in section IV. of this rule do not result in an increase in
costs to HHAs. Section 1115A(d)(3) of the Act exempts Innovation Center
model tests and expansions, which include the expanded HHVBP Model,
from the provisions of the PRA. Specifically, this section provides
that the provisions of the PRA do not apply to the testing and
evaluation of Innovation Center models or to the expansion of such
models.
3. ICRs Related to Conditions of Participation (CoPs): Organization and
Administration of Services (Sec. 484.105)
In section VI.A. of the rule, we discussed our proposal to add a
new standard at Sec. 484.105(i), which would set forth a requirement
for HHAs to establish an ``acceptance-to-service'' policy. This new
standard would require the HHA to develop, implement, and maintain
through an annual review a patient acceptance-to-service policy that
addressed criteria related to the HHA's capacity to provide patient
care, including, but not limited to, anticipated needs of the referred
prospective patient, case load and case mix of the HHA, staffing levels
of the HHA, and competencies and skills of the HHA staff. In addition,
we proposed the HHA would have to make public accurate information
about the services offered by the HHA and any limitations related to
the types of specialty services, service duration, and service
frequency. We believe that most HHAs already have a policy related to
the admission to service. The burden associated with this requirement
is the burden required to develop, implement, and maintain an updated
policy that would meet the requirements of this rule, and the burden
associated with making specified information available to the public.
Section 1861(o)(2) of the Act requires HHAs to have policies
established by a group of professional personnel (associated with the
agency or organization), including one or more physicians and one or
more registered professional nurses. Therefore, we expect the HHA to
utilize a physician and nurse to create and update the HHA's policies.
We estimated there are 9,565 Medicare-certified HHAs and that the
proposed new requirement would take 1 hour each of a physician and a
registered nurse's time on a one-time basis, for an HHA to develop an
acceptance-to-service policy at a cost of $321.84 per HHA and
$3,078,400 for all HHA's. We also estimated the HHA nurse would review
the acceptance-to-service policy on an annual basis. This annual review
would take 5 minutes for an HHA nurse at a cost of $7.00 per HHA for
all HHAs to fulfill this requirement.
In addition, we estimated that the proposed requirement would take
15 minutes on a one-time basis for an HHA to the specified information
public at a cost of $10.43 per HHA or $99,763 for all HHA's, based on
the assumption that the HHA administrative professional will process
this task. The average hourly rate for an administrative employee is
$41.70, therefore it is $10.43 per HHA, or $99,763 for all HHA's to
fulfill the requirement. We also proposed that the HHA administrative
professional would review this website annually to assure the continued
accuracy of the posted information. This annual review would take 5
minutes at a cost of $3.48 per HHA or $33,286 for all HHA's to fulfill
this requirement.
[[Page 88472]]
[GRAPHIC] [TIFF OMITTED] TR07NO24.062
Comment: A few commenters stated that CMS did not adequately
account for the burden of the proposed acceptance-to-service policy in
their estimates for compliance that maintaining the proposed policy
would take HHAs appreciably more than 5 minutes per year and that the
amount that CMS estimated ($9,000 to implement and $30,000 to maintain)
would be insurmountable for small agencies. Likewise, a commenter
stated that the estimate of $99,763 as a one-time cost for making the
information public equates to approximately $9.07 per HHA which is less
than the commenter believes this activity will cost. Other commenters
stated that they did not support the proposed acceptance-to-service
policy because of concerns that data collection and reporting for such
a policy will create additional administrative burden for HHAs.
Response: We appreciate the commenters feedback on burden estimates
for the development of the proposed acceptance-to-service policy and
the requirement to make this information public and update annually. We
agree with the commenters feedback and have made adjustments to the
burden estimates.
To develop the acceptance-to-service policy, we expect the HHA to
utilize a physician and nurse to create and update the HHA's policies.
We estimated there are 9,565 Medicare-certified HHAs and that the
proposed new requirement would take 2 hours each of a physician and a
registered nurse's time on a one-time basis, for an HHA to develop an
acceptance-to-service policy at a cost of $643.68 per HHA ($82.76 x 2 +
$239.08 x 2) and $6,156,799 for all HHA's ($1,583,199 + $4,573,600). We
also estimated the HHA nurse would review the acceptance-to-service
policy on an annual basis. This annual review would take 30 minutes for
an HHA nurse at a cost of $41.38 per HHA ($82.76 x 30/60 minutes) and
$395,799.70 for all HHA's ($41.38 x 9,565) to fulfill this requirement.
In addition, we estimated that the proposed requirement to make the
specified information public would take an HHA 30 minutes on a one-time
basis at a cost of $20.85 per HHA or $199,430.25 for all HHA's, based
on the assumption that the HHA administrative professional will process
this task. The average hourly rate for an administrative employee is
$41.70, therefore it is $20.85 per HHA ($41.70 hour x 30/60 minutes) or
$199,430.25 for all HHA's ($20.85 x 9,565) to fulfill the requirement.
We also proposed that the HHA administrative professional would review
information to ensure accuracy as frequently as the services change. We
revised the requirement at Sec. 484.105(i)(2) to require HHAs to
review public information regarding services offered, service
limitations, or service frequency as frequently as the services as
changed, but no less often than annually. Therefore, we estimate the
average HHA may need to update this service information as frequently
as 4 to 6 times per year, but no less than annually to assure the
continued accuracy of the posted information. We estimate this review
will take 10 minutes per review with an estimated six reviews annually
at a cost of $41.70 for an HHA ($41.70 x 10/60 minute = $6.95 x 6 =
$41.70) or $398,860.50 for all HHA's (41.70 x 9,565 = $398,860.50) to
fulfill this requirement.
[GRAPHIC] [TIFF OMITTED] TR07NO24.063
[[Page 88473]]
After consideration of the public comments we received, we are
modifying the final burden estimated for home health agencies to be in
compliance with the acceptance-to-service policy.
4. ICRs for Provider Enrollment Provisions
Section 1866(j)(3)(A) of the Act states that the Secretary shall
establish procedures to provide for a provisional period of between 30
days and 1 year during which new providers and suppliers--as the
Secretary determines appropriate, including categories of providers or
suppliers--will be subject to enhanced oversight. Some of these
procedures have been codified in Sec. 424.527. As explained in section
VII. of this rule, we proposed to expand the definition of ``new
provider or supplier'' in Sec. 424.527(a) (solely for purposes of
applying a provisional period of enhanced oversight) to include
providers and suppliers that are reactivating their Medicare enrollment
and billing privileges under Sec. 424.540(b). We stated in the
proposed rule that we do not anticipate any ICR burden associated with
this provision, for we are merely expanding an existing regulatory
definition.
We did not receive any comments on our ICR estimates and are
therefore finalizing them as proposed.
5. ICRs Related to LTC Requirements for Acute Respiratory Illness
Reporting Sec. 483.80(g)
In section VII.B. of this rule we discussed the final policy
related to LTC requirements for acute respiratory illness reporting. At
Sec. 483.80(g)(1)(i) through (ix) and (g)(2), we proposed to replace
the existing reporting requirements for LTC facilities with new
requirements to report information addressing respiratory illnesses.
Beginning on January 1, 2025, facilities would be required to
electronically report information about COVID-19, influenza, and RSV in
a standardized format and frequency specified by the Secretary. To the
extent to be determined by the Secretary, through this rulemaking
cycle, we proposed that the data elements for required reporting would
include--
Facility census;
Resident vaccination status for a limited set of
respiratory illnesses including but not limited to COVID-19, influenza,
and RSV;
Confirmed, resident cases of a limited set of respiratory
illnesses including but not limited to COVID-19, influenza, and RSV
(overall and by vaccination status); and
Hospitalized residents with confirmed cases of a limited
set of respiratory illnesses including but not limited to COVID-19,
influenza, and RSV (overall and by vaccination status.).
In the absence of a declared national PHE for an acute respiratory
illness, we proposed that LTC facilities would continue to report these
data on a weekly basis through a format specified by the Secretary and
specifically noted that we intend to continue reporting through the
CDC's NHSN. We indicated that there may be instances in which the
Secretary may determine a need to change reporting frequency, such as
during a future PHE, and we would provide appropriate notice and
guidance at that time.
In addition, during a declared national, State, or local PHE for an
acute infectious illness we also proposed that the Secretary may
require facilities to report:
Data up to a daily frequency without additional notice and
comment rulemaking.
Additional or modified data elements relevant to the PHE,
including relevant confirmed infections among staff, supply inventory
shortages, staffing shortages, and relevant medical countermeasures and
therapeutics inventories, usage, or both.
We noted that since the infection prevention and control program
(IPCP) is the responsibility of the infection preventionist (IP), we
anticipate that the IP would be responsible for reviewing and updating
the policies and procedures for the facility's IPCP to comply with
these proposals. We estimated that it would require 2 hours of the IP's
time to update the facility's policies and procedures to ensure that
they reflect the proposed requirements. In analyzing the ICRs related
to the proposal we obtained salary information from the May 2023
National Occupational Employment and Wage Estimates, BLS at https://www.bls.gov/oes/current/oes_nat.htm. We calculated the estimated hourly
rate for an IP using the occupation code for a registered nurse (29-
1141) based on the national mean salary increased by 100 percent to
account for overhead costs and fringe benefits ($45.42 x 2 = $90.84
(rounded to $91). According to CMS, there are currently 14,926 LTC
facilities as of April 2024.\140\
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\140\ https://qcor.cms.gov/active_nh.jsp?which=0&report=active_nh.jsp, report ran 4/24/2024.
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Based on this salary information and facility data, we estimated
that total annual burden hours for all LTC facilities to review and
update their current policies and procedures would be 29,852 hours (2
hours x 14,926 facilities) at a cost of $2,716,532 (29,852 x $91) or
$182 ($91 x 2 hours) per facility annually.
In addition, LTC facilities will need to continue locating the
required information and electronically reporting in the frequency
specified to the NHSN. Currently, the ICR associated with this
reporting requirement under OMB control #0938-1363 (Reform of
Requirements for Long-Term Care Facilities (CMS-10573)) estimates a
total burden cost of $55,972,800 (1 hour x 52 weeks x $69 (IP 2022
salary) x 15,600 LTC facilities as of 2022) based on weekly reporting.
We expect that ongoing reporting will require continuous efforts to
collect and organize the information necessary to report the data
through the NHSN or other system as determined by the Secretary. While
the number of required data elements for ongoing reporting have
decreased from the current post-COVID-19 PHE reporting requirements set
to expire December 2024, we acknowledged that the data elements and
reporting frequency could increase or decrease due to what the
Secretary deems necessary based on changes in circumstance or given
another PHE and these changes would impact this burden estimate. For
instance, weekly data reporting could be decreased to bi-weekly
reporting or the increased reporting of additional data elements during
a PHE could be activated and remain active for less than or more than a
year depending on the circumstances. Since we cannot predict with
certainty how often the Secretary would require data reporting for a
future PHE, we included two burden estimates to cover a range in the
frequency of reporting. The lower range is based on weekly reporting
and the higher range is based on daily reporting.
Based on the assumption of a weekly reporting frequency and 1 hour
of the IP's time to locate and electronically report the information,
we estimated that total annual burden hours for all LTC facilities to
comply would be 776,152 hours (1 hour x 52 weeks x 14,926 facilities)
at a cost of $70,629,832 (776,152 total hours x $91) or $4,732 ($91 x 1
hour x 52 weeks) per facility annually.
Based on the assumption of a daily reporting frequency, we
estimated that total annual burden hours for all LTC facilities to
comply would be 5,447,990 hours (1 hour x 365 days a year x 14,926
facilities) at a cost of $495,767,090 (5,447,990 total hours x $91) or
$33,215 ($91 x 1 hour x 365 days a year) per facility annually.
[[Page 88474]]
In summary, we estimated a total annual burden for all LTC
facilities for the proposed ICRs of 806,004 to 5,477,842 hours at an
estimated cost of $73,346,364 to $498,483,622 or 54 to 367 hours at an
estimated cost of $4,914 to $33,397 per facility annually. The ICR
burden currently associated with Sec. 483.80(g) is included under OMB
control number 0938-1363; expiration date: April 30, 2026. We will
submit the revised information collection request to include these
preliminary estimates to OMB for approval under OMB control number
0938-1363 (CMS-10914). We note that any additional ICR burden related
to the specific instruments used for reporting and the time necessary
to submit/report the data is the National Healthcare Safety Network
(NHSN) Surveillance in Healthcare Facilities (OMB control number 0920-
1317) package.
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We welcomed public comments on our ICR burden estimates, and on
ways that reporting burden can be minimized while still providing
adequate data. We also welcomed feedback on any challenges of
collecting and reporting these data; ways that CMS could reduce
reporting burden for facilities; and alternative reporting mechanisms
or quality reporting programs through which CMS could instead
effectively and sustainably incentivize reporting. Lastly, we welcomed
comments that address system readiness and capacity to collect and
report these data.
Comment: A commenter did not agree with the assumptions used for
estimating the burden of the proposed LTC respiratory illness data
reporting requirements. This commenter stated that CMS has
underestimated the required time for reporting these data and
underestimated the cost by assuming that the activity would be
completed by an RN. The commenter stated that this data collection is
often done by the IP, the Director of Nursing, or the Nursing Home
Administrator, all of whom have higher wage rates than an RN. The
commenter noted that the BLS May 2023 National Industry-Specific
Occupational Employment and Wage Estimates website, estimates the
median hourly wage for a Nursing Home Administrator at $58.82, which
raises the cost estimates by almost 50 percent as compared to the
hourly wage used by CMS. The commenter also notes that the burden
estimates do not account for other staff that may be involved in
supporting the IP, the DON, or the Administrator in the data
collection. Furthermore, they note that the time to gather and report
the data to NHSN is impacted by facility size, number of weekly
admissions and discharges, and the outbreak status of the facility. As
an example, the commenter shares that a facility with an average census
of 57 residents requires 3 hours per week to report to NHSN and a
facility with an average census of 76 residents requires 5 hours per
week to report to NHSN. They note that these estimates are based on the
time currently necessary to comply with the existing COVID-19 data
reporting requirements and asserts that the proposed revisions would
increase this time based on the expanded data reporting elements. This
commenter recommended that CMS not finalize the proposed rule.
Response: We appreciate the feedback shared by this commenter
regarding the effort and time currently exercised by varying facilities
to comply with the existing COVID-19 data reporting requirements. We
disagree with the commenter's assertion that the proposed revisions
would increase burden and believe that the streamlined data elements
proposed will positively impact data collection and reporting efforts,
despite the possibility for changes in the frequency of reporting. The
proposal reduced the number of data elements required for ongoing
reporting from the current post-COVID-19 PHE reporting requirements set
to expire December 2024. Specifically, starting on September 30, 2024,
NHSN will have a single reporting form for all nursing home respiratory
illness and vaccination data reporting, combining four forms into one,
and resulting in a significant reporting burden reduction. Several data
elements were removed, so even with the addition of influenza and RSV
reporting, this single reporting form and new requirements result in a
reduction in the number of data fields by 34 (from 50), and an overall
time and burden reduction. In summary, the changes from the current
post-PHE COVID-19 reporting to the proposals finalized in this rule
include removing--
Staff Pathway (including positive tests among staff)
Staff COVID-19 vaccination (-20 required fields)
Total resident deaths
Resident COVID-19 deaths
Total beds
Resident census
Resident medical contraindications, declinations, and
other/unknown vaccination statuses. Under the current forms there are
50 total fields (33 vaccination, 17 Pathways) and under the proposed
CoP and revised forms there are 16 total fields (includes the addition
of influenza and RSV).
In the proposed rule, we provided an explanation of the salary data
used to inform our estimates. These requirements are a part of a
facility's responsibility to develop and maintain an infection control
program and as such, we based on our estimate on the assumption that
the main individual conducting these activities would be the IP.
Furthermore, to support the estimate we used the national mean salary
data for an RN and increased the salary by 100 percent to account for
overhead costs and fringe benefits. We acknowledge the commenter's
feedback noting that varying staff types, besides the IP, may be
responsible for completing the activities necessary to comply with the
respiratory illness data reporting requirements. However, as the
commenter noted, the IP is likely one of the individuals that may
conduct the activities and therefore since we cannot know how often a
DON or the administrator may be involved, we
[[Page 88475]]
believe our assumption to estimate costs based on the IP, who is a RN,
is reasonable. We also note that additional burden related to the
specific instruments used for reporting and the time necessary to
submit/report the data to the NHSN is account for in the NHSN
Surveillance in Healthcare Facilities (OMB control number 0920-1317)
package. This package accounts for additional burden related to the IP
completing the data entry either manually (25 minutes) or by uploading
a CSV file (20 minutes) in NHSN. Together, we believe that the burden
associated for complying with the respiratory illness data reporting
requirements has been reasonability estimated.
C. Submission of PRA-Related Comments
We have submitted a copy of this final rule to OMB for its review
of the rule's information collection requirements. The requirements are
not effective until they have been approved by OMB.
To obtain copies of the supporting statement and any related forms
for the proposed collections, as previously discussed, please visit the
CMS website at https://www.cms.hhs.gov/PaperworkReductionActof1995, or
call the Reports Clearance Office at 410-786-1326.
We invited public comments on these potential information
collection requirements. We received public comment on the information
collection requirements.
IX. Regulatory Impact Analysis
A. Statement of Need
1. HH PPS
Section 1895(b)(1) of the Act requires the Secretary to establish a
HH PPS for all costs of home health services paid under Medicare. In
addition, section 1895(b) of the Act requires: (1) the computation of a
standard prospective payment amount include all costs for home health
services covered and paid for on a reasonable cost basis and that such
amounts be initially based on the most recent audited cost report data
available to the Secretary; (2) the prospective payment amount under
the HH PPS to be an appropriate unit of service based on the number,
type, and duration of visits provided within that unit; and (3) 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 home health 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 requires the standard
prospective payment amount be adjusted for case-mix and geographic
differences in wage levels. Section 1895(b)(4)(B) of the Act requires
the establishment of appropriate case-mix 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 home health services furnished in a
geographic area compared to the applicable national average level.
Section 1895(b)(3)(B)(iv) of the Act provides the Secretary with
the authority to implement adjustments to the standard prospective
payment amount (or amounts) for subsequent years to eliminate the
effect of changes in aggregate payments during a previous year or years
that were the result of changes in the coding or classification of
different units of services that do not reflect real changes in case-
mix. Section 1895(b)(5) of the Act provides the Secretary with 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.
Sections 1895(b)(2) and 1895(b)(3)(A) of the Act, as amended by
sections 51001(a)(1) and 51001(a)(2) of the BBA of 2018 respectively,
required the Secretary to implement a 30-day unit of service, for 30-
day periods beginning on and after January 1, 2020. Section
1895(b)(3)(D)(i) of the Act, as added by section 51001(a)(2)(B) of the
BBA of 2018, requires the Secretary to annually determine the impact of
differences between assumed behavior changes, as described in section
1895(b)(3)(A)(iv) of the Act, and actual behavior changes on estimated
aggregate expenditures under the HH PPS with respect to years beginning
with 2020 and ending with 2026. Section 1895(b)(3)(D)(ii) of the Act
requires the Secretary, at a time and in a manner determined
appropriate, through notice and comment rulemaking, to provide for one
or more permanent increases or decreases to the standard prospective
payment amount (or amounts) for applicable years, on a prospective
basis, to offset for such increases or decreases in estimated aggregate
expenditures, as determined under section 1895(b)(3)(D)(i) of the Act.
Additionally, 1895(b)(3)(D)(iii) of the Act requires the Secretary, at
a time and in a manner determined appropriate, through notice and
comment rulemaking, to provide for one or more temporary increases or
decreases to the payment amount for a unit of home health services for
applicable years, on a prospective basis, to offset for such increases
or decreases in estimated aggregate expenditures, as determined under
section 1895(b)(3)(D)(i) of the Act. The HH PPS wage index utilizes the
wage adjustment factors used by the Secretary for purposes of sections
1895(b)(4)(A)(ii) and (b)(4)(C) of the Act for hospital wage
adjustments.
2. HH QRP
Section 1895(b)(3)(B)(v) of the Act authorizes the HH QRP, which
requires HHAs to submit data in accordance with the requirements
specified by CMS. Failure to submit data required under section
1895(b)(3)(B)(v) of the Act with respect to a program year will result
in the reduction of the annual home health market basket percentage
increase otherwise applicable to an HHA for the corresponding calendar
year by 2 percentage points.
3. Expanded HHVBP Model
In the CY 2022 HH PPS final rule (86 FR 62292 through 62336) and
codified at 42 CFR part 484, subpart F, we finalized our policy to
expand the HHVBP Model to all Medicare certified HHAs in the 50 States,
territories, and District of Columbia beginning January 1, 2022. CY
2022 was a pre-implementation year. CY 2023 was the first performance
year in which HHAs individual performance on the applicable measures
will affect their Medicare payments in CY 2025. In this final rule, we
summarized comments that we received on a RFI related to the future
measure concepts for the expanded HHVBP Model. The proposed rule also
included an update on potential future approaches for integrating
health equity that are being considered for the expanded HHVBP Model.
This final rule does not make any changes to the expanded HHVBP Model.
4. Home IVIG Items and Services
Division FF, section 4134 of the CAA, 2023 (Pub. L. 117-328), which
amended section 1842(o) of the Act, mandated that CMS establish a
permanent, bundled payment for items and services related to
administration of IVIG in a patient's home. The permanent, bundled home
IVIG items and services payment is effective for home IVIG
[[Page 88476]]
infusions furnished on or after January 1, 2024. Payment for these
items and services is required to be a separate bundled payment made to
a supplier for all items and services furnished in the home during a
calendar day. This payment amount may be based on the amount
established under the Demonstration. The standard Part B coinsurance
and the Part B deductible apply. The separate bundled payment does not
apply for individuals receiving services under the Medicare home health
benefit. Section 1834(j)(5) of the Act clarifies that a supplier who
furnishes these services meet the requirements of a supplier of medical
equipment and supplies. The permanent, bundled home IVIG items and
services payment is updated by the home health update percentage
beginning January 1, 2025.
5. HHA CoP Changes: Establishing an Acceptance-to-Service Policy
In sections 1861(o) and 1891 of the Act, the Secretary has
established in regulations the requirements that an HHA must meet to
participate in the Medicare program. These requirements are set forth
in regulations at 42 CFR part 484, Home Health Services, and
regulations at 42 CFR 440.70(d) specify that HHAs participating in the
Medicaid program must also meet the Medicare Conditions of
Participation (CoPs). Section 1861(o)(6) of the Act requires that an
HHA must meet the CoPs specified in section 1891(a) of the Act, and
other CoPs as the Secretary finds necessary in the interest of the
health and safety of patients. The CoPs for HHAs protect all
individuals under the HHA's care, unless a requirement states that this
is specifically limited to Medicare beneficiaries. As explained in
section VI.A. of this rule, we are proposed to add a new standard at
Sec. 484.105(i) that would require HHAs to develop, consistently
apply, and maintain an acceptance-to-service policy, including
specified factors, that would govern the process for accepting patients
to service. We also proposed that HHAs would be required to make
specified information about their services and service limitations
available to the public.
We received no comments on regulatory impact analysis for the
proposal and believe there are no additional costs beyond what we have
recognized in the collection of information section.
6. Provider Enrollment Provisions
Section 1866(j)(3)(A) of the Act states that the Secretary shall
establish procedures to provide for a provisional period of between 30
days and 1 year during which new providers and suppliers--as the
Secretary determines appropriate, including categories of providers or
suppliers--will be subject to enhanced oversight. Some of these
procedures have been codified in 42 CFR 424.527. As explained in
section VII. of this rule, we proposed to expand the definition of
``new provider or supplier'' in Sec. 424.527(a) (solely for purposes
of applying a provisional period of enhanced oversight (PPEO)) to
include providers and suppliers that are reactivating their Medicare
enrollment and billing privileges under Sec. 424.540(b).
7. LTC Requirements for Acute Respiratory Illness Reporting
Sections 1819(d)(3) and 1919(d)(3) of the Act explicitly require
that LTC facilities develop and maintain an infection control program
that is designed, constructed, equipped, and maintained in a manner to
protect the health and safety of residents, personnel, and the general
public. In addition, sections 1819(d)(4)(B) and 1919(d)(4)(B) of the
Act explicitly authorize the Secretary to issue any regulations he
deems necessary to protect the health and safety of residents. As such,
we are proposed streamlined weekly data reporting requirements for
certain respiratory illnesses. We are also proposed additional, related
data elements that could be activated in the event of a future acute
respiratory illness PHE.
We did not receive any comments specifically related to the
regulatory impact analysis for these proposed requirements. Comments
received on these proposals, including those related to our ICR burden
estimates and general burden concerns, can be found earlier in the rule
in the Collection of Information section.
B. Overall Impact
We have examined the impacts of this final 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), Executive Order 14094 on Modernizing
Regulatory Review (April 6, 2023), 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), Executive Order 13132 on Federalism (August 4,
1999), and the Congressional Review Act (5 U.S.C. 804(2)).
Executive Orders 12866 and 13563 direct agencies to assess all
costs and benefits of available regulatory alternatives and, if
regulation is necessary, to select regulatory approaches that maximize
net benefits (including potential economic, environmental, public
health and safety effects, distributive impacts, and equity). Executive
Order 14094 amends section 3(f) of Executive Order 12866 to define a
``significant regulatory action'' as an action that is likely to result
in a rule: (1) having an annual effect on the economy of $200 million
or more in any 1 year, or adversely affect in a material way the
economy, productivity, competition, jobs, the environment, public
health or safety, or State, local, or Tribal governments or
communities; (2) creating a serious inconsistency or otherwise
interfering with an action taken or planned by another agency; (3)
materially altering the budgetary impacts of entitlement grants, user
fees, or loan programs or the rights and obligations of recipients
thereof; or (4) raising legal or policy issues for which centralized
review would meaningfully further the President's priorities.
A regulatory impact analysis (RIA) must be prepared for a
regulatory action that is significant under section 3(f)(1) of E.O.
12866. Based on our estimates, OMB'S Office of Information and
Regulatory Affairs (OIRA) has determined this rulemaking is significant
under section 3(f)(1) of E.O. 12866. Accordingly, we have prepared a
regulatory impact analysis that presents the costs and benefits of the
rulemaking to the best of our ability. Pursuant to Subtitle E of the
Small Business Regulatory Enforcement Fairness Act of 1996 (also known
as the Congressional Review Act), OIRA has determined that this rule
meets the criteria set forth in 5U.S.C.804(2). Therefore, OMB has
reviewed this final rule and the Department has provided the following
assessment of their impact.
C. Detailed Economic Analysis
1. Effects of the Final Policy Changes for the CY 2025 HH PPS
This rule updates Medicare payments under the HH PPS for CY 2025.
The net transfer impact related to the changes in payments under the HH
PPS for CY 2025 is estimated to be $85 million (0.5 percent). The $85
million increase in estimated payments for CY 2025 reflects the effects
of the final CY 2025 home health payment update percentage of 2.7
percent ($460 million increase), an estimated 1.8 percent decrease that
reflects the effects of the permanent adjustment ($305 million
decrease), and
[[Page 88477]]
an estimated 0.4 percent decrease that reflects the effects of an
updated FDL ($70 million decrease).
We use the latest data and analysis available. However, we do not
adjust for future changes in such variables as number of visits or
case-mix. This analysis incorporates the latest estimates of growth in
service use and payments under the Medicare home health benefit, based
primarily on Medicare claims data for periods that ended on or before
December 31, 2023. We note that certain events may combine to limit the
scope or accuracy of our impact analysis, because such an analysis is
future-oriented and, thus, susceptible to errors 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 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.
Table 35 represents how HHA revenues are likely to be affected by
the final policy changes for CY 2025. For this analysis, we used an
analytic file with linked CY 2023 OASIS assessments and home health
claims data for dates of service that ended on or before December 31,
2023. The first column of table 35 classifies HHAs according to a
number of characteristics including provider type, geographic region,
and urban and rural locations. The second column shows the number of
facilities in the impact analysis. The third column shows the payment
effects of the permanent assumption adjustment on all payments. The
aggregate impact of the permanent adjustment reflected in the third
column does not equal the final -1.975 percent permanent adjustment
because the adjustment only applies to the national, standardized 30-
day period payments and does not impact payments for 30-day periods
which are LUPAs. The fourth column shows the payment effects of the
recalibration of the case-mix weights offset by the case-mix weights
budget neutrality factor. The fifth column shows the payment effects of
updating the CY 2025 wage index (that is, the FY 2025 hospital pre-
floor, pre-reclassified wage index for hospital cost reporting periods
beginning on or after October 1, 2020, and before October 1, 2021 (FY
2021 cost report data)) with the revised OMB delineations and a 5-
percent cap on wage index decreases. The aggregate impact of the
changes in the fifth column is zero percent, due to the wage index
budget neutrality factor. The sixth column shows the payment impacts of
the final update to the LUPA add-on factors. The seventh column shows
the payment effects of the final CY 2025 home health payment update
percentage. The eighth column shows the payment effects of the revised
FDL, and the last column shows the combined effects of all the final
provisions.
Overall, it is projected that aggregate payments in CY 2025 would
increase by 0.5 percent which reflects the 1.8 percent decrease from
the permanent adjustment, the 2.7 payment update percentage increase,
and the 0.4 percent decrease from increasing the FDL. As illustrated in
table 35, the combined effects of all changes vary by specific types of
providers and by location. We note that some individual HHAs within the
same group may experience different impacts on payments than others due
to the distributional impact of the CY 2025 wage index, the percentage
of total HH PPS payments that were subject to the LUPA or paid as
outlier payments, and the degree of Medicare utilization.
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2. Effects of the Changes for the HH QRP for CY 2027
Failure to submit HH QRP data required under section
1895(b)(3)(B)(v) of the Act with respect to a program year will result
in the reduction of the annual home health market basket percentage
increase otherwise applicable to an HHA for the corresponding calendar
year by 2 percentage points. For the CY 2023 program year, 820 of the
11,549 active Medicare-certified HHAs, or approximately 7.1 percent,
did not receive the full annual percentage increase because they did
not meet assessment submission requirements. The 820 HHAs that did not
satisfy the reporting requirements of the HH QRP for the CY 2023
program year represent $149 million in home health claims payment
dollars during the reporting period out of a total $16.4 billion for
all HHAs.
We proposed to collect four additional items as standardized
patient assessment data elements and modify one item collected as a
standardized patient assessment data element beginning with the CY 2027
HH QRP. The four assessment items proposed for collection were (1)
Living Situation;(2) Food Runs Out; (3) Food Doesn't Last; and (4)
Utilities. We also proposed to modify the current Access to
Transportation item with a revised Transportation (Access to
Transportation) item beginning with the CY 2027 HH QRP. CMS also
proposed an update to the removal of the suspension of OASIS all-payer
data collection to change all-payer data collection beginning with the
start of care OASIS data collection timepoint instead of discharge
timepoint. The net effect of these proposals was an increase of four
data elements at the start of care time point and a net increase in
burden.
Section VIII.B.1. of this rule provides a detailed description of
the net increase in burden associated with the proposed changes. We
proposed that additions of data elements associated with the HH QRP
proposals would begin with January 1, 2027, discharges. The cost impact
of these proposed changes was estimated to be a net increase of
$12,604,89 5 in annualized cost to HHAs, discounted at 2 percent
relative to year 2023, over a perpetual time horizon beginning in CY
2027. We described the estimated burden and cost reductions for these
measures in section VIII. of this rule. In summary, the implementation
of proposed provisions outlined in this rule for the HH QRP is
estimated to increase the burden on HHAs by $1,059 per HHA annually, or
$12,604,895 for all HHAs annually.
Commenters that supported the proposal expressed concerns about
implementation including that the vendors be provided enough time to
prepare for the changes, that home health agencies be provided time and
resources to educate staff on the changes, that OASIS revisions are too
frequent and burdensome for agencies and that implementation of the
proposal would be burdensome. Some commenters cautioned that SDOH needs
identified must be addressed, and one suggested that CMS should provide
additional reimbursement to HHAs for the follow-up required to address
identified needs.
Response: We acknowledge the commenters' concerns and appreciate
their suggestions. We proposed the SDOH data elements in the CY 2025 HH
PPS proposed rule with an effective date to begin collection via the
OASIS instrument of January 1, 2027, to ensure that vendors and HHAs
have sufficient time to prepare for implementation. We will make
training available to HHAs on the changes to the OASIS, consistent with
education and training resources for previous revisions to the OASIS
instrument. We acknowledge that revisions to the OASIS require time and
effort and resources for providers to prepare for the changes and is
committed to proposing revisions to the OASIS no more frequently than
every 2 years. We agree that patients' needs should be addressed by the
HHA, consistent with applicable rules and regulations, although we note
that the proposal does not specify a requirement for how HHAs may
address patients' needs.
Comment: Commenters that did not support the proposal acknowledged
that SDOH information is important but adding four data elements to the
OASIS and modifying a fifth would be burdensome. A commenter noted that
revisions to the OASIS are too frequent and recommended that CMS limit
revisions to intervals of no less than four years. A commenter
suggested that the proposed living situation data element is
duplicative of information that is already collected and recommended
that the look-back for the utilities data element be changed from 12
months to 3 months to capture more reliable, valid, and timely
information. Another commenter encouraged CMS to consider using SDOH
information as part of the risk-adjusted outcome quality measures. A
commenter stated the proposal is not aligned with health-related social
needs reporting requirements across the care continuum and that further
testing and refinement are needed to ensure the proposed items work as
intended in this setting. This commenter noted that CMS' evaluation of
the AHC HRSN screening tool in the AHC Model showed that screening did
not appear to increase beneficiary connection to community resources or
health-related social need resolution, and they recommended CMS conduct
further testing and developing clearer implementation guidance before
adopting the proposed data elements in the HHQRP.
Response: We acknowledge the commenters' concerns and appreciate
their suggestions. As previously stated, we acknowledge that revisions
to the OASIS require time and effort and resources for providers to
prepare for the changes and we are committed to proposing revisions to
the OASIS no more frequently than every 2 years. We disagree that the
proposed Living Situation data element is duplicative of information
that is already collected because it addresses housing insecurity,
which is not part of the information captured in the current OASIS. We
believe that the proposed data elements are not setting-specific, and
that the testing conducted in their development has been sufficiently
rigorous that we can adopt the data elements into the OASIS and the
other PAC instruments with confidence.
After consideration of the public comments we received, we are
finalizing our proposal to adopt four new items as standardized patient
assessment data elements in the SDOH category: one living situation
item, two food items, and one utilities item, and to modify the
transportation item in section III.D.5. of this rule beginning January
1, 2027, with the CY 2027 HH QRP.
3. Effects of the Expanded HH VBP Model
There were no proposed changes to the expanded HHVBP Model for CY
2025. Therefore, we assumed there are no impacts resulting from this
provision. Furthermore, the public comments received related to the
Request for Information on Future Performance Measure Concepts for the
Expanded HHVBP Model and the update on Future Approaches to Health
Equity in the Expanded HHVBP Model, included in section IV. of the
proposed rule, will be summarized in this final rule and may inform
proposals through future rulemaking.
[[Page 88481]]
4. Impacts of Home IVIG Items and Services
The following analysis applies to the home IVIG items and services
payment rate as set forth in section V.D.1. of this final rule as added
by section 4134 of the CAA, 2023 and accordingly, describes the impact
for CY 2025 only. Table 36 represents the estimated aggregate costs of
home IVIG users for CY 2025. We used CY 2023 data to identify
beneficiaries actively enrolled in the IVIG demonstration (that is,
beneficiaries with Part B claims that contain the Q2052 HCPCS code) to
estimate the number of potential CY 2025 active enrollees in the new
benefit, which are shown in column 2. In column 3, CY 2023 claims for
IVIG visits under the Demonstration were again used to estimate
potential utilization under the new benefit in CY 2025. Column 4 shows
the final CY 2025 home IVIG items and services rate. The fifth column
estimates the total cost to Medicare for CY 2025 ($9,535,238). The
increase in estimated costs of covered IVIG items and services for CY
2025 relative to the baseline year in CY 2024 (using updated CY 2023
claims data as of July 26, 2024) is $250,000. Table 36 represents the
estimated impacts of the home IVIG items and services payment for CY
2025 by census region.
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5. HHA CoP Changes: Establishing an Acceptance-to-Service Policy
We proposed to add a new standard Sec. 484.105(i), which sets
forth a requirement for HHAs to establish an acceptance-to-service
policy. All costs associated with this policy are located in the
section VIII. of this final rule (Collection of Information). There are
no transfers associated with this requirement.
6. Provider Enrollment Provisions
For purposes of applying a PPEO, we proposed to expand the
definition of ``new provider or supplier'' in Sec. 424.527(a) to
include providers and suppliers that are reactivating their Medicare
enrollment and billing privileges under Sec. 424.540(b). We stated in
the proposed rule's regulatory impact section that we were unable to
establish an estimate of any potential burden associated with this
provision for two main reasons. First, we do not have sufficient data
upon which we could formulate a burden projection. Second, we could not
predict the scope, extent, and length of any future PPEO or the
provider or supplier type(s) to which it may apply. Accordingly, we
solicited public comment from stakeholders on the potential burden of
our expansion of Sec. 424.527(a).
We did not received comments regarding the potential impact of
[[Page 88482]]
Sec. 424.527(a)'s expansion and are therefore finalizing our
assessments as discussed in the previous paragraph.
7. Effects of the LTC Requirements for Acute Respiratory Illness
Reporting
We proposed to update the requirements related to reporting acute
respiratory illnesses for LTC facilities at Sec. 483.80(g). All cost
associated with this policy are located in the section IX. of this
final rule (Collection of Information). There are no transfers
associated with this requirement. We welcomed public comments on our
estimates, and on ways that reporting burden can be minimized while
still providing adequate data. We also welcomed feedback on any
challenges of collecting and reporting these data; ways that CMS could
reduce reporting burden for facilities; and alternative reporting
mechanisms or quality reporting programs through which CMS could
instead effectively and sustainably incentivize reporting. Lastly, we
welcomed comments that address system readiness and capacity to collect
and report these data.
A summary of comments received on the proposed rule can be found in
sections VI.B. (Long-Term Care (LTC) Requirements for Acute Respiratory
Illness Reporting) and section VIII.B.5. (Collection of Information) of
this final rule.
D. Regulatory Review Cost Estimation
If regulations impose administrative costs on private entities,
such as the time needed to read and interpret this final rule, we
should estimate the cost associated with the regulatory review. Due to
the uncertainty involved with accurately quantifying the number of
entities that will review the rule, we assume that the total number of
unique commenters on this year's proposed rule will be the number of
reviewers of this final rule. We acknowledge that this assumption may
understate or overstate the costs of reviewing this rule. It is
possible that not all commenters reviewed this year's proposed rule in
detail, and it is also possible that some reviewers chose not to
comment on the proposed rule. For these reasons we thought that the
number of commenters would be a fair estimate of the number of
reviewers of this rule. We also recognize that different types of
entities are in many cases affected by mutually exclusive sections of
this rule, and therefore for the purposes of our estimate we assume
that each reviewer reads approximately 50 percent of the rule. Using
the wage information from the BLS for medical and health service
managers (Code 11-9111), we estimate that the cost of reviewing this
rule is $106.42 per hour, including overhead and fringe benefits
https://www.bls.gov/oes/current/oes_nat.htm. Assuming an average
reading speed, we estimate that it would take approximately 3.49 hours
for the staff to review half of this final rule. For each entity that
reviews the rule, the estimated cost is $371.41 (3.49 hours x $106.42).
Therefore, we estimate that the total cost of reviewing this regulation
is $399,637 ($371.41 x 1,076) [1,076 is the number of estimated
reviewers, which is based on the total number of unique commenters from
this year's proposed rule].
E. Alternatives Considered
1. HH PPS
For the CY 2025 HH PPS, we considered alternatives to the final
provisions articulated in section II.C. of this rule. As described in
section II.C.1.b. of this rule, we finalized a mapping of three OASIS
items (therapies, vision, and pain) and a lookback period of 12 months
in order to impute the responses from the OASIS-E to the OASIS-D to
create simulated 60-day episodes from 30-day periods. We considered not
mapping the three items (therapies, vision, and pain). Alternatives to
the lookback period consisted of our initial proposal of 24 months and
a shorter, three-month lookback period. We also considered no lookback
period. However, to continue with the previously finalized methodology
for assessing behavior changes, which uses certain OASIS items, we
finalized the OASIS-E to OASIS-D mapping of the three items and a 12-
month lookback period.
As described in section II.C.1.g. of this rule, to achieve
appropriate payments, we calculated a permanent adjustment by
determining what the 30-day base payment amount should have been in CYs
2020, 2021, 2022, and 2023 in order to achieve the same estimated
aggregate expenditures as obtained from the simulated 60-day episodes.
One alternative to the -1.975 percent permanent adjustment, as
finalized in this rule, included taking the full adjustment of -3.95
percent. Another alternative would be to take the remaining permanent
adjustment not taken in the CY 2024 HH PPS final rule, which resulted
in -2.890 percent. Another alternative would be a phase-in approach,
where we could reduce the permanent adjustment by spreading out the CY
2025 permanent adjustment over a specified period of years, rather than
halving the adjustment in CY 2025. Another alternative would be to
delay the permanent adjustment to a future year. However, we are not
taking the -3.95 adjustment as we wish to be responsive to commenter
concerns about the on-going permanent adjustments to payment rate.
Additionally, we believe that applying the permanent behavior
adjustment calculated using CY 2023 claims over a period of several
years, or delaying the permanent adjustment, would not be appropriate
as it would further impact budget neutrality and likely lead to a
compounding effect creating the need for a larger permanent reduction
to the payment rate in future years. Therefore, we are finalizing a -
1.975 percent (half of the permanent -3.95 percent adjustment)
permanent adjustment to the CY 2025 30-day payment rate. As stated
previously in this final rule, we did not propose implementing the
temporary adjustment to reconcile retrospective overpayments in CYs
2020, 2021, 2022, and 2023.
Finally, we considered not finalizing adopting the revised OMB
delineations listed in OMB Bulletin 23-01. However, we have
historically adopted the latest OMB delineations in subsequent
rulemaking after a new OMB Bulletin is released. We continue to believe
it is important for the HH PPS wage index to use the latest OMB
delineations available in order to maintain a more accurate and up-to-
date payment system that reflects the reality of population shifts and
labor market conditions.
2. Home IVIG Items and Services
For the CY 2025 HH PPS, we did not consider alternatives to
updating the home IVIG items and services payment for CY 2025 because
section 1842(o)(8) of the Act requires the Secretary to establish a
separate bundled payment to the supplier for all items and services
related to the administration of intravenous immune globulin to an
individual in the patient's home during a calendar day effective
January 1, 2024, and to annually update this rate.
F. Accounting Statements and Tables
1. HH PPS
As required by OMB Circular A-4 (available at https://www.whitehouse.gov/wp-content/uploads/legacy_drupal_files/omb/circulars/A4/a-4.pdf), in table 38, we have prepared an accounting
statement showing the classification of the transfers and benefits
associated with the CY 2025 HH PPS provisions of this final rule.
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2. HH QRP
As required by OMB Circular A-4 (available at https://www.whitehouse.gov/wp-content/uploads/legacy_drupal_files/omb/circulars/A4/a-4.pdf), in table 39, we have prepared an accounting
statement showing the classification of the costs associated with the
ICRs for the proposed HH QRP provisions in CY 2027.
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\141\ https://www.sba.gov/sites/sbagov/files/2023-03/Table%20of%20Size%20Standards_Effective%20March%2017%2C%202023.xlsx.
[GRAPHIC] [TIFF OMITTED] TR07NO24.070
We received no comments on the proposal and therefore are
finalizing this provision without modification.
3. Home IVIG Items and Services
As required by OMB Circular A-4 (available at https://www.whitehouse.gov/wp-content/uploads/legacy_drupal_files/omb/circulars/A4/a-4.pdf), in table 40, we have prepared an accounting
statement showing the classification of the transfers and benefits
associated with the CY 2025 IVIG provisions of this final rule.
[GRAPHIC] [TIFF OMITTED] TR07NO24.071
G. Regulatory Flexibility Act (RFA)
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. In addition, HHAs are small entities, as
that is the term used in the RFA. Individuals and States are not
included in the definition of a small entity.
The North American Industry Classification System (NAICS) was
adopted in 1997 and is the current standard used by the Federal
statistical agencies related to the U.S. business economy. We utilized
the NAICS U.S. industry title ``Home Health Care Services'' and
corresponding NAICS code 621610 in determining impacts for small
entities. The NAICS code 621610 has a size standard of $19 million
\141\ and approximately 96 percent of HHAs are considered small
entities. Table 41 shows the number of firms, revenue, and estimated
impact per home health care service category.
[[Page 88484]]
[GRAPHIC] [TIFF OMITTED] TR07NO24.072
The economic impact assessment is based on estimated Medicare
payments (revenues) and HHS's practice in interpreting the RFA is to
consider effects economically ``significant'' on a ``substantial''
number of small entities only if greater than 5 percent of providers
reach a threshold of 3 to 5 percent or more of total revenue or total
costs. The majority of HHAs' visits are Medicare paid visits and
therefore the majority of HHAs' revenue consists of Medicare payments.
We detail the CY 2025 HHA impacts by facility type and area of the
country in table 35. Specifically, we estimate that the net impact of
the policies in this final rule will only have a significant impact on
HHAs in the East South Central Region, which is reflected in the last
column in table 35 as a 3.2 percent increase in revenue when comparing
CY 2025 payments to estimated CY 2024 payments. The East South Central
represents 3.7 percent (357 of 9638) of the number of HHAs. HHAs in all
other regions will experience net impacts ranging from -1.5 percent
(Pacific Region) to 1.9 percent (West South Central). Furthermore, in
section IX.E. of this final rule (Alternatives Considered), we provide
a detailed analysis of the alternatives considered for the various
provisions in this final rule. As a result, based on our analysis, we
conclude that the provisions in this final rule will not result in an
estimated total impact of 3 to 5 percent or more on Medicare revenue
for greater than 5 percent of HHAs. Therefore, the Secretary certifies
that this final rule will not have significant economic impact on a
substantial number of small entities. We received no comments on the
overall RFA analysis.
This RFA section along with the RIA constitutes our final
regulatory flexibility analysis.
In addition, section 1102(b) of the Act requires us to prepare an
RIA if a rule may have a significant impact on the operations of a
substantial number of small rural hospitals. This analysis must conform
to the provisions of section 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 is not applicable to hospitals.
Therefore, the Secretary has certified that this final rule would not
have a significant economic impact on the operations of small rural
hospitals.
H. Unfunded Mandates Reform Act (UMRA)
Section 202 of UMRA 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 2024, that threshold is approximately $183
million. This rule will not impose a mandate that will result in the
expenditure by State, local, and Tribal governments, in the aggregate,
or by the private sector, of more than $183 million in any one year.
I. Federalism
Executive Order 13132 establishes certain requirements that an
agency must meet when it promulgates a proposed rule (and subsequent
final rule) that imposes substantial direct requirement costs on State
and local governments, preempts State law, or otherwise has federalism
implications. We have reviewed this final rule under these criteria of
Executive Order 13132 and have determined that it would not impose
substantial direct costs on State or local governments.
J. Conclusion
In conclusion, we estimated that the provisions in this rule will
result in an estimated net increase in home health payments of 0.5
percent for CY 2025 ($85 million). The $85 million increase in
estimated payments for CY 2025 reflects the effects of the final CY
2025 home health payment update percentage increase of 2.7 percent
($460 million increase), a 0.4 percent decrease in payments due to the
new higher FDL ratio, which will decrease outlier payments in order to
target to pay no more than 2.5 percent of total payments as outlier
payments ($70 million decrease), and an estimated 1.8 percent decrease
in payments that reflects the effects of the permanent behavior
adjustment ($305 million decrease). In addition, the estimated impact
of the
[[Page 88485]]
home IVIG items and services payment for CY 2025 is an increase of
$250,000.
K. Waiver Fiscal Responsibility Act Requirements
The Director of OMB has waived the requirements of section 263 of
the Fiscal Responsibility Act of 2023 (Pub. L. 118-5) pursuant to
sections 265(a)(1) and (a)(2) of Public Law 118-5.
Chiquita Brooks-LaSure, Administrator of the Centers for Medicare &
Medicaid Services, approved this document on October 17, 2024.
List of Subjects
42 CFR Part 424
Emergency medical services, Health facilities, Health professions,
Medicare, Reporting and recordkeeping requirements.
42 CFR Part 483
Grant programs--health, Health facilities, Health professions,
Health records, Medicaid, Medicare, Nursing homes, Nutrition, Reporting
and recordkeeping requirements, Safety.
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 follows:
PART 424-CONDITIONS FOR MEDICARE PAYMENT
0
1. The authority for part 424 continues to read as follows:
Authority: 42 U.S.C. 1302 and 1395hh.
0
2. Section 424.527 is amended by adding paragraph (a)(4) to read as
follows:
Sec. 424.527 Provisional period of enhanced oversight.
(a) * * *
(4) A provider or supplier reactivating the provider's or
supplier's Medicare enrollment and billing privileges in accordance
with Sec. 424.540(b).
* * * * *
PART 483--REQUIREMENTS FOR STATES AND LONG TERM CARE FACILITIES
0
3. The authority citation for part 483 continues to read as follows:
Authority: 42 U.S.C. 1302, 1320a-7, 1395i, 1395hh and 1396r.
0
4. Section 483.80 is amended by revising paragraph (g) to read as
follows:
Sec. 483.80 Infection control.
* * * * *
(g) Respiratory illness reporting--(1) Ongoing reporting. The
facility must electronically report information on acute respiratory
illnesses, including influenza, severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2)/coronavirus 2019 (COVID-19), and respiratory
syncytial virus (RSV).
(i) The report must be in a standardized format and frequency
specified by the Secretary.
(ii) To the extent as required by the Secretary, this report must
include all of the following data elements:
(A) Facility census (defined as the total number of residents
occupying a bed at this facility for at least 24 hours during the week
of data collection).
(B) Resident vaccination status for a limited set of respiratory
illnesses, including but not limited to the following:
(1) Influenza.
(2) SARS-CoV-2/COVID-19.
(3) RSV.
(C) Confirmed, resident cases of a limited set of respiratory
illnesses, including but not limited to the following:
(1) Influenza.
(2) SARS-CoV-2/COVID-19.
(3) RSV.
(D) Hospitalized residents with confirmed cases of a limited set of
respiratory illnesses, including but not limited to the following:
(1) Influenza.
(2) SARS-CoV-2/COVID-19.
(3) RSV.
(2) Public health emergency (PHE) reporting. In the event that the
Secretary has declared a national, State, or local PHE for an acute
infectious illness, the facility must also electronically report all of
the following data elements in a standardized format and frequency
specified by the Secretary:
(i) Relevant confirmed infections for staff.
(ii) Supply inventory shortages.
(iii) Staffing shortages.
(iv) Relevant medical countermeasures and therapeutic inventories,
usage, or both.
PART 484--HOME HEALTH SERVICES
0
5. The authority citation for part 484 continues to read as follows:
Authority: 42 U.S.C. 1302 and 1395hh.
0
6. Section 484.105 is amended by adding paragraph (i) to read as
follows:
Sec. 484.105 Condition of participation: Organization and
administration of services.
* * * * *
(i) HHA acceptance-to-service. An HHA must do both of the
following:
(1) Develop, implement, and maintain through an annual review, a
patient acceptance-to-service policy that is applied consistently to
each prospective patient referred for home health care, which addresses
criteria related to the HHA's capacity to provide patient care,
including, but not limited to, all of the following:
(i) Anticipated needs of the referred prospective patient.
(ii) Case load and case mix of the HHA.
(iii) Staffing levels of the HHA.
(iv) Skills and competencies of the HHA staff.
(2)(i) Make available to the public accurate information regarding
the services offered by the HHA and any limitations related to types of
specialty services, service duration, or service frequency.
(ii) Review the information specified in paragraph (i)(2)(i) of
this section as frequently as the services are changed, but no less
often than annually.
Xavier Becerra,
Secretary, Department of Health and Human Services.
[FR Doc. 2024-25441 Filed 11-1-24; 4:15 pm]
BILLING CODE 4120-01-P