Medicare Program; End-Stage Renal Disease Prospective Payment System, Payment for Renal Dialysis Services Furnished to Individuals With Acute Kidney Injury, End-Stage Renal Disease Quality Incentive Program, Durable Medical Equipment, Prosthetics, Orthotics and Supplies (DMEPOS) Competitive Bidding Program (CBP) and Fee Schedule Amounts, and Technical Amendments To Correct Existing Regulations Related to the CBP for Certain DMEPOS, 34304-34415 [2018-14986]
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34304
Federal Register / Vol. 83, No. 139 / Thursday, July 19, 2018 / Proposed Rules
DEPARTMENT OF HEALTH AND
HUMAN SERVICES
Centers for Medicare & Medicaid
Services
42 CFR Parts 413 and 414
[CMS–1691–P]
RIN 0938–AT28
Medicare Program; End-Stage Renal
Disease Prospective Payment System,
Payment for Renal Dialysis Services
Furnished to Individuals With Acute
Kidney Injury, End-Stage Renal
Disease Quality Incentive Program,
Durable Medical Equipment,
Prosthetics, Orthotics and Supplies
(DMEPOS) Competitive Bidding
Program (CBP) and Fee Schedule
Amounts, and Technical Amendments
To Correct Existing Regulations
Related to the CBP for Certain
DMEPOS
Centers for Medicare &
Medicaid Services (CMS), HHS.
ACTION: Proposed rule.
AGENCY:
This proposed rule would
update and make revisions to the EndStage Renal Disease (ESRD) Prospective
Payment System (PPS) for calendar year
(CY) 2019. This rule also proposes to
update the payment rate for renal
dialysis services furnished by an ESRD
facility to individuals with acute kidney
injury (AKI). In addition, it proposes a
rebasing of the ESRD market basket for
CY 2019. This proposed rule also
proposes to update requirements for the
ESRD Quality Incentive Program (QIP),
and to make technical amendments to
correct existing regulations related to
the CBP for certain DMEPOS. Finally,
this proposed rule proposes changes to
bidding and pricing methodologies
under the Durable Medical Equipment,
Prosthetics, Orthotics and Supplies
(DMEPOS) competitive bidding program
(CBP); adjustments to DMEPOS Fee
Schedule amounts using information
from competitive bidding for items
furnished from January 1, 2019 through
December 31, 2020; new payment
classes for oxygen and oxygen
equipment and a new methodology for
ensuring that new payment classes for
oxygen and oxygen equipment are
budget neutral; payment rules for multifunction ventilators or ventilators that
perform functions of other durable
medical equipment (DME); and payment
methodology revisions for mail order
items furnished in the Northern Mariana
Islands. This rule also includes a
request for information related to
establishing fee schedule amounts for
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SUMMARY:
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new DMEPOS items and services. It also
includes Requests for Information on
promoting interoperability and
electronic healthcare information
exchange, and improving beneficiary
access to dialysis facility and DMEPOS
charge information.
DATES: To be assured consideration,
comments must be received at one of
the addresses provided below, no later
than 5 p.m. on September 10, 2018.
ADDRESSES: In commenting, please refer
to file code CMS–1691–P. Because of
staff and resource limitations, we cannot
accept comments by facsimile (FAX)
transmission.
Comments, including mass comment
submissions, must be submitted in one
of the following three ways (please
choose only one of the ways listed):
1. Electronically. You may submit
electronic comments on this regulation
to https://www.regulations.gov. Follow
the ‘‘Submit a comment’’ instructions.
2. By regular mail. You may mail
written comments to the following
address ONLY: Centers for Medicare &
Medicaid Services, Department of
Health and Human Services, Attention:
CMS–1691–P, P.O. Box, 8010,
Baltimore, MD 21244–8010.
Please allow sufficient time for mailed
comments to be received before the
close of the comment period.
3. By express or overnight mail. You
may send written comments to the
following address ONLY: Centers for
Medicare & Medicaid Services,
Department of Health and Human
Services, Attention: CMS–1691–P, Mail
Stop C4–26–05, 7500 Security
Boulevard, Baltimore, MD 21244–1850.
For information on viewing public
comments, see the beginning of the
SUPPLEMENTARY INFORMATION section.
FOR FURTHER INFORMATION CONTACT:
ESRDPayment@cms.hhs.gov, for
issues related to the ESRD PPS and
coverage and payment for renal dialysis
services furnished to individuals with
AKI.
Delia Houseal, (410) 786–2724, for
issues related to the ESRD QIP.
DMEPOS@cms.hhs.gov, for issues
related to DMEPOS payment policy.
Julia Howard, (410) 786–8645, for
issues related to DMEPOS CBP technical
amendments only.
SUPPLEMENTARY INFORMATION:
Inspection of Public Comments: All
comments received before the close of
the comment period are available for
viewing by the public, including any
personally identifiable or confidential
business information that is included in
a comment. We post all comments
received before the close of the
comment period on the following
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website as soon as possible after they
have been received: https://
www.regulations.gov. Follow the search
instructions on that website to view
public comments.
Electronic Access
This Federal Register document is
also available from the Federal Register
online database through Federal Digital
System (FDsys), a service of the United
States Government Printing Office. This
database can be accessed via the
internet at https://www.gpo.gov/fdsys/.
Table of Contents
To assist readers in referencing
sections contained in this preamble, we
are providing a Table of Contents. Some
of the issues discussed in this preamble
affect the payment policies, but do not
require changes to the regulations in the
Code of Federal Regulations (CFR).
I. Executive Summary
A. Purpose
1. End-Stage Renal Disease (ESRD)
Prospective Payment System (PPS)
2. Coverage and Payment for Renal Dialysis
Services Furnished to Individuals With
Acute Kidney Injury (AKI)
3. End-Stage Renal Disease (ESRD) Quality
Incentive Program (QIP)
4. Changes to the DMEPOS Competitive
Bidding Program and Fee Schedule
Payment Rules
B. Summary of the Major Provisions
1. ESRD PPS
2. Payment for Renal Dialysis Services
Furnished to Individuals With AKI
3. ESRD QIP
4. Changes to the DMEPOS Competitive
Bidding Program and Fee Schedule
Payment Rules
C. Summary of Cost and Benefits
1. Impacts of the Proposed ESRD PPS
2. Impacts of the Proposed Payment for
Renal Dialysis Services Furnished to
Individuals With AKI
3. Impacts of the Proposed ESRD QIP
4. Impacts of the Proposed Changes to the
DMEPOS Competitive Bidding Program
and Fee Schedule Payment Rules
II. Calendar Year (CY) 2019 End-Stage Renal
Disease (ESRD) Prospective Payment
System (PPS)
A. Background
B. Provisions of the Proposed Rule
C. Solicitation for Information on
Transplant and Modality Requirements
III. CY 2019 Payment for Renal Dialysis
Services Furnished to Individuals With
Acute Kidney Injury (AKI)
A. Background
B. Annual Payment Rate Update for CY
2019
IV. End-Stage Renal Disease Quality
Incentive Program (ESRD QIP)
A. Background
B. Proposed Update to Requirements
Beginning With the PY 2021 ESRD QIP
C. Proposed Requirements for the PY 2022
ESRD QIP
D. Proposed Requirements Beginning With
the PY 2024 ESRD QIP
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Federal Register / Vol. 83, No. 139 / Thursday, July 19, 2018 / Proposed Rules
V. Changes to the Durable Medical
Equipment, Prosthetics, Orthotics, and
Supplies (DMEPOS) Competitive
Bidding Program (CBP)
A. Background
B. Current Method for Submitting Bids and
Selecting Winners
C. Current Method for Establishing SPAs
D. Provisions of the Proposed Rule
VI. Adjustments to DMEPOS Fee Schedule
Amounts Based on Information From the
DMEPOS CBP
A. Background
B. Current Issues
C. Provisions of the Proposed Rule
VII. New Payment Classes for Oxygen and
Oxygen Equipment and Methodology for
Ensuring Annual Budget Neutrality of
the New Classes
A. Background
B. Provisions of the Proposed Rule
VIII. Payment for Multi-Function Ventilators
A. Background
B. Current Issues
C. Provisions of the Proposed Rule
IX. Including the Northern Mariana Islands
in Future National Mail Order CBPs
A. Background
B. Current Issues
C. Provisions of the Proposed Rule
X. Request for Information on the Gap-Filling
Process for Establishing Fees for New
DMEPOS Items
XI. DMEPOS CBP Technical Amendments
A. Background
B. Proposed Technical Amendments
XII. Burden Reduction on Comorbidities
A. Background
B. Proposed Documentation Requirements
XIII. Requests for Information
A. Request for Information on Promoting
Interoperability and Electronic
Healthcare Information Exchange
Through Possible Revisions to the CMS
Patient Health and Safety Requirements
for Hospitals and Other Medicare- and
Medicaid-Participating Providers and
Suppliers
B. Request for Information on Price
Transparency: Improving Beneficiary
Access to Provider and Supplier Charge
Information
XIV. Collection of Information Requirements
XV. Response to Comments
XVI. Economic Analyses
A. Regulatory Impact Analysis
B. Detailed Economic Analysis
C. Accounting Statement
XVII. Regulatory Flexibility Act Analysis
XVIII. Unfunded Mandates Reform Act
Analysis
XIX. Federalism Analysis
XX. Reducing Regulation and Controlling
Regulatory Costs
XXI. Congressional Review Act
XXII. Files Available to the Public via the
Internet
Regulations Text
I. Executive Summary
A. Purpose
1. End-Stage Renal Disease (ESRD)
Prospective Payment System (PPS)
On January 1, 2011, we implemented
the End-Stage Renal Disease (ESRD)
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Prospective Payment System (PPS), a
case-mix adjusted, bundled PPS for
renal dialysis services furnished by
ESRD facilities as required by section
1881(b)(14) of the Social Security Act
(the Act), as added by section 153(b) of
the Medicare Improvements for Patients
and Providers Act of 2008 (MIPPA).
Section 1881(b)(14)(F) of the Act, as
added by section 153(b) of MIPPA, and
amended by section 3401(h) of the
Patient Protection and Affordable Care
Act (the Affordable Care Act) (Pub. L.
111–148), established that beginning
calendar year (CY) 2012, and each
subsequent year, the Secretary of the
Department of Health and Human
Services (the Secretary) shall annually
increase payment amounts by an ESRD
market basket increase factor, reduced
by the productivity adjustment
described in section 1886(b)(3)(B)(xi)(II)
of the Act. This rule proposes updates
and revisions to the ESRD PPS for CY
2019.
2. Coverage and Payment for Renal
Dialysis Services Furnished to
Individuals With Acute Kidney Injury
(AKI)
On June 29, 2015, the President
signed the Trade Preferences Extension
Act of 2015 (TPEA) (Pub. L. 114–27).
Section 808(a) of TPEA amended
section 1861(s)(2)(F) of the Act to
provide coverage for renal dialysis
services furnished on or after January 1,
2017, by a renal dialysis facility or a
provider of services paid under section
1881(b)(14) of the Act to an individual
with acute kidney injury (AKI). Section
808(b) of the TPEA amended section
1834 of the Act by adding a new
subsection (r) that provides for payment
for renal dialysis services furnished by
renal dialysis facilities or providers of
services paid under section 1881(b)(14)
of the Act to individuals with AKI at the
ESRD PPS base rate beginning January
1, 2017. This rule proposes to update
the AKI payment rate for CY 2019.
3. End-Stage Renal Disease Quality
Incentive Program (ESRD QIP)
The End-Stage Renal Disease Quality
Incentive Program (ESRD QIP) is
authorized under section 1881(h) of the
Social Security Act (the Act), and is the
most recent step in fostering improved
patient outcomes by establishing
incentives for dialysis facilities to meet
or exceed performance standards
established by the Centers for Medicare
& Medicaid Services (CMS). This
proposed rule proposes a number of
updates for the ESRD QIP.
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4. Changes to the DMEPOS Competitive
Bidding Program and Fee Schedule
Payment Rules
i. Changes to the Durable Medical
Equipment, Prosthetics, Orthotics, and
Supplies (DMEPOS) Competitive
Bidding Program (CBP): This rule
proposes to revise the DMEPOS CBP by
implementing lead item pricing based
on maximum winning bid amounts.
ii. Adjustments to DMEPOS Fee
Schedule Amounts Based on
Information from the DMEPOS CBP:
This rule proposes transitional fee
schedule adjustments for DMEPOS
items and services furnished on or after
January 1, 2019 in areas that are
currently CBAs and in areas that are
currently not CBAs. Altogether, this rule
proposes three different fee schedule
adjustment methodologies depending
on the area in which the items and
services are furnished: (1) One fee
schedule adjustment methodology for
DME items and services furnished on or
after January 1, 2019, in areas that are
currently CBAs, in the event of a gap in
the CBP; (2) another fee schedule
adjustment methodology for items and
services furnished from January 1, 2019,
through December 31, 2020, in areas
that are currently not CBAs, are not
rural areas, and are located in the
contiguous United States (U.S.); and (3)
another fee schedule adjustment
methodology for items and services
furnished from January 1, 2019, through
December 31, 2020, in areas that are
currently not CBAs and are either rural
areas or non-contiguous areas.
iii. New Payment Classes for Oxygen
and Oxygen Equipment and
Methodology for Ensuring Annual
Budget Neutrality of the New Classes:
We are proposing to establish new,
separate payment classes for portable
gaseous oxygen equipment, portable
liquid oxygen equipment, and high flow
portable liquid oxygen contents. We are
also proposing to establish a new
methodology for ensuring that all new
payment classes for oxygen and oxygen
equipment are budget neutral in
accordance with section
1834(a)(9)(D)(ii) of the Act.
iv. Payment for Multi-Function
Ventilators: This rule proposes to
establish new rules to address payment
for certain ventilators that are subject to
the payment rules at section 1834(a)(3)
of the Act but also perform the functions
of other items of durable medical
equipment (DME) that are subject to
payment rules other than those at
section 1834(a)(3) of the Act.
v. Including the Northern Mariana
Islands in Future National Mail Order
CBPs: This rule proposes to amend
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Federal Register / Vol. 83, No. 139 / Thursday, July 19, 2018 / Proposed Rules
§ 414.210(g)(7) to indicate that
beginning on or after the date that
contracts take effect for a national mail
order competitive bidding program that
includes the Northern Mariana Islands,
the fee schedule adjustment
methodology under this paragraph
would no longer apply.
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B. Summary of the Major Provisions
1. ESRD PPS
• Update to the ESRD PPS base rate
for CY 2019: The proposed CY 2019
ESRD PPS base rate is $235.82. This
proposed amount reflects a
productivity-adjusted market basket
increase as required by section
1881(b)(14)(F)(i)(I) of the Act (1.5
percent), and application of the wage
index budget-neutrality adjustment
factor (0.999833), equaling $235.82
($232.37 × 1.0150 × 0.999833 =
$235.82).
• Annual update to the wage index:
We adjust wage indices on an annual
basis using the most current hospital
wage data and the latest core-based
statistical area (CBSA) delineations to
account for differing wage levels in
areas in which ESRD facilities are
located. For CY 2019, we propose to
increase the wage index floor, for areas
with wage index values below the floor,
to 0.5000 and are proposing to update
the wage index values to the latest
available data.
• Update to the outlier policy: We are
proposing to update the outlier policy
using the most current data, as well as
update the outlier services fixed-dollar
loss (FDL) amounts for adult and
pediatric patients and Medicare
Allowable Payment (MAP) amounts for
adult and pediatric patients for CY 2019
using CY 2017 claims data. Based on the
use of the latest available data, the
proposed FDL amount for pediatric
beneficiaries would increase from
$47.79 to $47.88 and the MAP amount
would decrease from $37.31 to $35.62,
as compared to CY 2018 values. For
adult beneficiaries, the proposed FDL
amount would decrease from $77.54 to
$69.73 and the MAP amount would
decrease from $42.41 to $40.25. The 1
percent target for outlier payments was
not achieved in CY 2017. Outlier
payments represented approximately
0.8 percent of total payments rather than
1.0 percent. We believe using CY 2017
claims data to update the outlier MAP
and FDL amounts for CY 2019 would
increase payments for ESRD
beneficiaries requiring higher resource
utilization in accordance with a 1
percent outlier percentage. We are also
soliciting comment on whether we
should expand the outlier policy to
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include composite rate drugs and
supplies.
• Update to the Drug Designation
Process: We are proposing to update and
revise our designation process and
expand the transitional drug add-on
payment adjustment (TDAPA) to all
new drugs, not just those in new
functional categories, and change the
basis of determining the TDAPA from
pricing methodologies under section
1847A of the Act, (which includes ASP
+6) to ASP +0.
• Update to the Low-Volume Payment
Adjustment: We are proposing revisions
to the low-volume payment adjustment
regulations to allow for more flexibility
with regard to attestation dates and cost
reporting requirements, as well as
updating the requirements for eligibility
with respect to certain changes of
ownership.
2. Payment for Renal Dialysis Services
Furnished to Individuals With AKI
We are proposing to update the AKI
payment rate for CY 2019. The proposed
CY 2019 payment rate is $235.82, which
is the same as the base rate proposed
under the ESRD PPS for CY 2019.
3. ESRD QIP
This proposed rule proposes a
number of new requirements for the
ESRD QIP beginning with PY 2021,
including the following:
• We are proposing to update the
ESRD QIP’s measure removal criteria,
which we now refer to as ‘‘factors’’, so
that they are more closely aligned with
the measure removal factors we have
adopted, or proposed to adopt for other
quality reporting and pay for
performance programs, as well as the
priorities we have adopted as part of the
Meaningful Measures Initiative.
• We are proposing to remove four
measures: Healthcare Personnel
Influenza Vaccination, Pain Assessment
and Follow-Up, Anemia Management,
and Serum Phosphorus. Removal of
these measures would align the ESRD
QIP measure set more closely with the
priorities we have adopted as part of our
Meaningful Measures Initiative.
• We are proposing to make several
changes to the domains and domain
weights that we use for purposes of our
scoring methodology to more closely
align the ESRD QIP with the priorities
we have adopted as part of our
Meaningful Measures Initiative. We are
proposing to remove the Reporting
Domain from the Program and to move
each reporting measure currently in that
domain (and not being proposed for
removal) to another domain that is
better aligned with the focus area of that
measure. Additionally, we are
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proposing that the Patient and Family
Engagement/Care Coordination
Subdomain and the Clinical Care
Subdomain, both of which are currently
subdomains in the Clinical Measure
Domain, would become their own
domains. As a result, the ESRD QIP
would be scored using four domains
instead of three. Furthermore, we are
proposing new domain and measure
weights that better align with the
priority areas we have adopted as part
of our Meaningful Measures Initiative.
• We are proposing to update our
policy governing when newly opened
facilities must start reporting ESRD QIP
data. The proposed policy would
require facilities to begin reporting
ESRD QIP data beginning with the
month that begins 4 months after the
month during which the CMS
Certification Number (CCN) becomes
effective (for example, a facility with a
CCN effective date of January 15th
would be required to begin reporting
ESRD QIP data collected in May). The
proposed policy would provide
facilities with a longer time period than
they are given now to learn how to
properly report ESRD QIP data.
• We are proposing to increase the
number of facilities that we select for
validation under the National
Healthcare Safety Network (NHSN) data
validation study from 35 to 150
facilities, and to increase the number of
records that each selected facility must
submit to 20 records for each of the first
2 quarters of CY 2019 (for a total of 40
records). This proposal would improve
the overall accuracy of the study.
• We are proposing to convert the
current Consolidated Renal Operations
in a Web-Enabled Network
(CROWNWeb) data validation study
into a permanent program requirement
using the methodology we first adopted
for PY 2016 because an analysis
demonstrated that this methodology
produced reliable validation results. We
are also proposing that the 10 point
deduction for failure to comply with the
data request, which was first adopted
for PY 2017, would become a permanent
program requirement.
This proposed rule also proposes a
number of new requirements for the
ESRD QIP beginning with PY 2022,
including the following:
• We are proposing to adopt the
Percentage of Prevalent Patients
Waitlisted (PPPW) Measure and to place
it in the proposed Care Coordination
Measure Domain (NQF #2988).
• We are proposing to adopt the
Medication Reconciliation for Patients
Receiving Care at Dialysis Facilities
(MedRec) Measure (NQF #2988) and to
place it in the Safety Measure Domain.
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• We are proposing to increase the
number of facilities that we select for
validation under the NHSN data
validation study from 150 to 300
facilities. This proposal would further
improve the overall accuracy of the
study.
This proposed rule also proposes to
set forth new requirements for the ESRD
QIP beginning with PY 2024, including
the following:
• We are proposing to adopt the
Standardized First Kidney Transplant
Waitlist Ratio for Incident Dialysis
Patients (SWR) Measure and to place it
within the proposed Patient and Family
Engagement/Care Coordination Domain
as a second measure in the proposed
Transplant measure topic.
Finally, we are proposing to codify in
our regulations several previously
finalized requirements for the ESRD QIP
by revising § 413.177 and adopting a
new § 413.178.
4. Changes to the DMEPOS Competitive
Bidding Program and Fee Schedule
Payment Rules
i. Changes to the Durable Medical
Equipment, Prosthetics, Orthotics, and
Supplies (DMEPOS) Competitive
Bidding Program (CBP): We are
proposing to revise the DMEPOS CBP by
implementing lead item pricing based
on maximum winning bid amounts. We
are proposing to revise the definition of
bid to mean an offer to furnish an item
or items for a particular price and time
period that includes, where appropriate,
any services that are directly related to
the furnishing of the item or items. We
are proposing to revise the definition of
composite bid to mean the bid
submitted by the supplier for the lead
item in the product category. We are
proposing to revise the definition of
lead item to mean the item in a product
category with multiple items with the
highest total nationwide Medicare
allowed charges of any item in the
product category prior to each
competition.
ii. Adjustments to DMEPOS Fee
Schedule Amounts Based on
Information from the DMEPOS CBP: We
are proposing transitional fee schedule
adjustments for DMEPOS items and
services furnished on or after January 1,
2019 in areas that are currently CBAs
and in areas that are currently not CBAs.
Altogether, this rule proposes three
different fee schedule adjustment
methodologies depending on the area in
which the items and services are
furnished: (1) One fee schedule
adjustment methodology for DME items
and services furnished on or after
January 1, 2019, in areas that are
currently CBAs, in the event of a gap in
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the CBP; (2) another fee schedule
adjustment methodology for items and
services furnished from January 1, 2019,
through December 31, 2020, in areas
that are currently not CBAs, are not
rural areas, and are located in the
contiguous United States (U.S.); and (3)
another fee schedule adjustment
methodology for items and services
furnished from January 1, 2019, through
December 31, 2020, in areas that are
currently not CBAs and are either rural
areas or non-contiguous areas.
iii. New Payment Classes for Oxygen
and Oxygen Equipment and
Methodology for Ensuring Annual
Budget Neutrality of the New Classes:
We are proposing to establish new,
separate payment classes for portable
gaseous oxygen equipment, portable
liquid oxygen equipment, and high flow
portable liquid oxygen contents. We are
also proposing to establish a new
methodology for ensuring that all new
payment classes for oxygen and oxygen
equipment are budget neutral in
accordance with section
1834(a)(9)(D)(ii) of the Act.
iv. Payment for Multi-Function
Ventilators: We are proposing to
establish new rules to address payment
for certain ventilators that are subject to
the payment rules at section 1834(a)(3)
of the Act but also perform the functions
of other items of durable medical
equipment (DME) that are subject to
payment rules other than those at
section 1834(a)(3) of the Act.
v. Including the Northern Mariana
Islands in Future National Mail Order
CBPs: We intend to include the
Northern Mariana Islands under
national mail order competitive bidding
programs that become effective on or
after January 1, 2019, so we are
proposing to amend § 414.210(g)(7) to
indicate that beginning on or after the
date that contracts take effect for a
national mail order competitive bidding
program that includes the Northern
Mariana Islands, the fee schedule
adjustment methodology under this
paragraph would no longer apply.
C. Summary of Costs and Benefits
In section XVI of this proposed rule,
we set forth a detailed analysis of the
impacts that the proposed changes
would have on affected entities and
beneficiaries. The impacts include the
following:
1. Impacts of the Proposed ESRD PPS
The impact chart in section XV of this
proposed rule displays the estimated
change in payments to ESRD facilities in
CY 2019 compared to estimated
payments in CY 2018. The overall
impact of the proposed CY 2019
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34307
changes is projected to be a 1.7 percent
increase in payments. Hospital-based
ESRD facilities have an estimated 1.8
percent increase in payments compared
with freestanding facilities with an
estimated 1.7 percent increase.
We estimate that the aggregate ESRD
PPS expenditures would increase by
approximately $220 million in CY 2019
compared to CY 2018. This reflects a
$190 million increase from the payment
rate update and a $30 million increase
due to the updates to the outlier
threshold amounts. As a result of the
projected 1.7 percent overall payment
increase, we estimate that there would
be an increase in beneficiary coinsurance payments of 1.7 percent in CY
2019, which translates to approximately
$60 million.
2. Impacts of the Proposed Payment for
Renal Dialysis Services Furnished to
Individuals With AKI
The impact chart in section XVI of
this proposed rule displays the
estimated change in proposed payments
to ESRD facilities in CY 2019 compared
to estimated payments in CY 2018. The
overall impact of the proposed CY 2019
changes is projected to be a 1.5 percent
increase in payments. Hospital-based
ESRD facilities and freestanding
facilities both have an estimated 1.5
percent increase in payments.
We estimate that the aggregate
payments made to ESRD facilities for
renal dialysis services furnished to AKI
patients at the proposed CY 2019 ESRD
PPS base rate would increase by less
than $1 million in CY 2019 compared to
CY 2018.
3. Impacts of the Proposed ESRD QIP
We estimate that the overall economic
impact of the ESRD QIP would be
approximately $219 million in PY 2021.
The $219 million figure for PY 2021
includes costs associated with the
collection of information requirements,
which we estimate would be
approximately $181 million. For PY
2022, we estimate that ESRD facilities
would experience an overall economic
impact of approximately $240 million as
a result of the PY 2022 ESRD QIP. The
$240 million figure for PY 2022
includes costs associated with the
collection of information requirements,
which we estimate would be
approximately $202 million. Our
proposal to add the SWR measure to the
ESRD QIP measure set in PY 2024
would not result in additional costs
associated with the collection of
information requirements because the
measure does not use data reported to
CROWNWeb.
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4. Impacts of the Proposed Changes to
the DMEPOS Competitive Bidding
Program and Fee Schedule Payment
Rules
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i. Changes to the Durable Medical
Equipment, Prosthetics, Orthotics, and
Supplies (DMEPOS) Competitive
Bidding Program (CBP)
This rule proposes to base single
payment amounts on the maximum
winning bid and to implement lead item
pricing in the Medicare DMEPOS
Competitive Bidding Program. The
impacts of the rule are estimated by
rounding to the nearer 5 million dollars
and are expected to cost $10 million in
Medicare benefit payments for the 5year period beginning January 1, 2019
and ending September 30, 2023. The
impacts on beneficiary cost sharing is
roughly $3 million over this 5-year
period. The Medicaid impacts for cost
sharing for the beneficiaries enrolled in
the Medicare Part B and Medicaid
programs for the federal and state
portions are assumed to both be $0
million.
ii. Adjustments to DMEPOS Fee
Schedule Amounts Based on
Information From the DMEPOS CBP
This rule proposes transitional fee
schedule adjustments for DMEPOS
items and services furnished in areas
that are currently CBAs and in areas
currently not CBAs on or after January
1, 2019. Altogether, this rule proposes
three different fee schedule adjustment
methodologies depending on the area in
which the items and services are
furnished: (1) One fee schedule
adjustment methodology for DME items
and services furnished on or after
January 1, 2019, in areas that are
currently CBAs, in the event of a gap in
the CBP; (2) another fee schedule
adjustment methodology for items and
services furnished from January 1, 2019,
through December 31, 2020, in areas
that are currently not CBAs, are not
rural areas, and are located in the
contiguous United States (U.S.); and (3)
another fee schedule adjustment
methodology for items and services
furnished from January 1, 2019, through
December 31, 2020, in areas that are
currently not CBAs and are either rural
areas or non-contiguous areas.
The estimated impacts for this part of
the rule are calculated against a baseline
that assumes payments for items
furnished in CBAs and non-CBAs are
made consistent with the rules in place
as of January 1, 2018, which establish
payment for items furnished in CBAs
based on fee schedule amounts fully
adjusted in accordance with current
regulations at 42 CFR 414.210(g). The
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impacts are expected to cost $1,050
million dollars in Medicare benefit
payments and $260 million dollars in
Medicare beneficiary cost sharing for
the 2-year period beginning January 1,
2019 and ending December 31, 2020.
The Medicaid impacts for cost sharing
for the beneficiaries enrolled in the
Medicare Part B and Medicaid programs
for the federal and state portions are
assumed to be $45 million dollars and
$30 million dollars, respectively.
Section 503 of the Consolidated
Appropriations Act of 2016 and section
5002 of the Cures Act, added section
1903(i)(27) to the Act, which prohibits
federal Medicaid reimbursement to
states for certain DME expenditures that
are, in the aggregate, in excess of what
Medicare would have paid for such
items. The requirement took effect
January 1, 2018. We note that the costs
for the Medicaid program and
beneficiaries could be higher depending
on how many state agencies adopt the
higher Medicare adjusted fee schedule
amounts for rural areas for use in paying
claims under the Medicaid program. We
are not able to quantify this impact.
iii. New Payment Classes for Oxygen
and Oxygen Equipment and
Methodology for Ensuring Annual
Budget Neutrality of the New Classes
This rule proposes to establish new
payment classes for oxygen and oxygen
equipment and is estimated to be budget
neutral to the Medicare program and its
beneficiaries.
iv. Payment for Multi-Function
Ventilators
This rule proposes to establish new
rules to address payment for certain
ventilators that are subject to the
payment rules at section 1834(a)(3) of
the Act but also perform the functions
of other items of durable medical
equipment (DME) that are subject to
payment rules other than those at
section 1834(a)(3) of the Act. The
impacts are estimated by rounding to
the nearer 5 million dollars and are
expected to cost $15 million in
Medicare benefit payments and $0
million in Medicare beneficiary cost
sharing for the 5-year period beginning
January 1, 2019 and ending September
30, 2023. The Medicaid impacts for cost
sharing for the beneficiaries enrolled in
the Medicare Part B and Medicaid
programs for the federal and state
portions are assumed to both be $0
million.
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v. Including the Northern Mariana
Islands in Future National Mail Order
CBPs
This change would not have a fiscal
impact.
II. Calendar Year (CY) 2019 End-Stage
Renal Disease (ESRD) Prospective
Payment System (PPS)
A. Background
1. Statutory Background
On January 1, 2011, we implemented
the End-Stage Renal Disease (ESRD)
Prospective Payment System (PPS), a
case-mix adjusted bundled PPS for renal
dialysis services furnished by ESRD
facilities, as required by section
1881(b)(14) of the Social Security Act
(the Act), as added by section 153(b) of
the Medicare Improvements for Patients
and Providers Act of 2008 (MIPPA).
Section 1881(b)(14)(F) of the Act, as
added by section 153(b) of MIPPA and
amended by section 3401(h) of the
Patient Protection and Affordable Care
Act (the Affordable Care Act),
established that beginning with calendar
year (CY) 2012, and each subsequent
year, the Secretary of the Department of
Health and Human Services (the
Secretary) shall annually increase
payment amounts by an ESRD market
basket increase factor, reduced by the
productivity adjustment described in
section 1886(b)(3)(B)(xi)(II) of the Act.
Section 632 of the American Taxpayer
Relief Act of 2012 (ATRA) (Pub. L. 112–
240) included several provisions that
apply to the ESRD PPS. Section 632(a)
of ATRA added section 1881(b)(14)(I) to
the Act, which required the Secretary,
by comparing per patient utilization
data from 2007 with such data from
2012, to reduce the single payment for
renal dialysis services furnished on or
after January 1, 2014 to reflect the
Secretary’s estimate of the change in the
utilization of ESRD-related drugs and
biologicals (excluding oral-only ESRDrelated drugs). Consistent with this
requirement, in the CY 2014 ESRD PPS
final rule we finalized $29.93 as the
total drug utilization reduction and
finalized a policy to implement the
amount over a 3- to 4-year transition
period (78 FR 72161 through 72170).
Section 632(b) of ATRA prohibited
the Secretary from paying for oral-only
ESRD-related drugs and biologicals
under the ESRD PPS prior to January 1,
2016. And section 632(c) of ATRA
required the Secretary, by no later than
January 1, 2016, to analyze the case-mix
payment adjustments under section
1881(b)(14)(D)(i) of the Act and make
appropriate revisions to those
adjustments.
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On April 1, 2014, the Protecting
Access to Medicare Act of 2014 (PAMA)
(Pub. L. 113–93) was enacted. Section
217 of PAMA included several
provisions that apply to the ESRD PPS.
Specifically, sections 217(b)(1) and (2)
of PAMA amended sections
1881(b)(14)(F) and (I) of the Act and
replaced the drug utilization adjustment
that was finalized in the CY 2014 ESRD
PPS final rule (78 FR 72161 through
72170) with specific provisions that
dictated the market basket update for
CY 2015 (0.0 percent) and how the
market basket should be reduced in CY
2016 through CY 2018.
Section 217(a)(1) of PAMA amended
section 632(b)(1) of ATRA to provide
that the Secretary may not pay for oralonly ESRD-related drugs under the
ESRD PPS prior to January 1, 2024.
Section 217(a)(2) of PAMA further
amended section 632(b)(1) of ATRA by
requiring that in establishing payment
for oral-only drugs under the ESRD PPS,
the Secretary must use data from the
most recent year available. Section
217(c) of PAMA provided that as part of
the CY 2016 ESRD PPS rulemaking, the
Secretary shall establish a process for (1)
determining when a product is no
longer an oral-only drug; and (2)
including new injectable and
intravenous products into the ESRD PPS
bundled payment.
Finally, on December 19, 2014, the
President signed the Stephen Beck, Jr.,
Achieving a Better Life Experience Act
of 2014 (ABLE) (Pub. L. 113–295).
Section 204 of ABLE amended section
632(b)(1) of ATRA, as amended by
section 217(a)(1) of PAMA, to provide
that payment for oral-only renal dialysis
services cannot be made under the
ESRD PPS bundled payment prior to
January 1, 2025.
2. System for Payment of Renal Dialysis
Services
Under the ESRD PPS, a single, pertreatment payment is made to an ESRD
facility for all of the renal dialysis
services defined in section
1881(b)(14)(B) of the Act and furnished
to individuals for the treatment of ESRD
in the ESRD facility or in a patient’s
home. We have codified our definitions
of renal dialysis services at 42 CFR
413.171, which is in 42 CFR part 413,
subpart H, along with other ESRD PPS
payment policies. The ESRD PPS base
rate is adjusted for characteristics of
both adult and pediatric patients and
accounts for patient case-mix
variability. The adult case-mix adjusters
include five categories of age, body
surface area, low body mass index,
onset of dialysis, four comorbidity
categories, and pediatric patient-level
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adjusters consisting of two age
categories and two dialysis modalities
(§ 413.235(a) and (b)).
The ESRD PPS provides for three
facility-level adjustments. The first
payment adjustment accounts for ESRD
facilities furnishing a low volume of
dialysis treatments (§ 413.232). The
second adjustment reflects differences
in area wage levels developed from core
based statistical areas (CBSAs)
(§ 413.231). The third payment
adjustment accounts for ESRD facilities
furnishing renal dialysis services in a
rural area (§ 413.233).
The ESRD PPS provides a training
add-on for home and self-dialysis
modalities (§ 413.235(c)) and an
additional payment for high cost
outliers due to unusual variations in the
type or amount of medically necessary
care when applicable (§ 413.237).
The ESRD PPS also provides for a
transitional drug add-on payment
adjustment (TDAPA) to pay for a new
injectable or intravenous product that is
not considered included in the ESRD
PPS bundled payment, meaning a
product that is used to treat or manage
a condition for which there is not an
existing ESRD PPS functional category
(§ 413.234). The ESRD PPS functional
categories represent distinct groupings
of drugs or biologicals, as determined by
CMS, whose end action effect is the
treatment or management of a condition
or conditions associated with ESRD.
New injectable or intravenous products
that are not included in a functional
category in the ESRD PPS base rate are
paid for using the TDAPA for a
minimum of 2 years, until sufficient
claims data for rate setting analysis are
available. At that point, utilization
would be reviewed and the ESRD PPS
base rate modified, if appropriate, to
account for these products. The TDAPA
is based on pricing methodologies under
section 1847A of the Act (§ 413.234(c)).
3. Updates to the ESRD PPS
Policy changes to the ESRD PPS are
proposed and finalized annually in the
Federal Register. The CY 2011 ESRD
PPS final rule was published on August
12, 2010 in the Federal Register (75 FR
49030 through 49214). That rule
implemented the ESRD PPS beginning
on January 1, 2011 in accordance with
section 1881(b)(14) of the Act, as added
by section 153(b) of MIPPA, over a 4year transition period. Since the
implementation of the ESRD PPS, we
have published annual rules to make
routine updates, policy changes, and
clarifications.
On November 1, 2017, we published
a final rule in the Federal Register
titled, ‘‘Medicare Program; End-Stage
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34309
Renal Disease Prospective Payment
System, Payment for Renal Dialysis
Services Furnished to Individuals With
Acute Kidney Injury, and End-Stage
Renal Disease Quality Incentive
Program’’ (82 FR 50738 through 50797)
(hereinafter referred to as the CY 2018
ESRD PPS final rule). In that rule, we
updated the ESRD PPS base rate for CY
2018, the wage index, and the outlier
policy, and pricing outlier drugs. For
further detailed information regarding
these updates, see 82 FR 50738.
B. Provisions of the Proposed Rule
1. Drug Designation Process
a. Protecting Access to Medicare Act of
2014
Section 217(c) of PAMA requires the
Secretary to implement a drug
designation process for: (1) Determining
when a product is no longer an oralonly drug; and (2) including new
injectable and intravenous products into
the bundled payment under such
system. Therefore, in the CY 2016 ESRD
PPS final rule (80 FR 69013 through
69027), we finalized a process that
allows us to recognize when an oralonly renal dialysis service drug or
biological is no longer oral only and a
process to include new injectable and
intravenous products into the ESRD PPS
bundled payment, and when
appropriate, modify the ESRD PPS
payment amount.
In accordance with section 217(c)(1)
of PAMA, we established § 413.234(d),
which provides that an oral-only drug is
no longer considered oral-only if an
injectable or other form of
administration of the oral-only drug is
approved by the Food and Drug
Administration (FDA). Additionally, in
accordance with section 217(c)(2) of
PAMA, we codified the drug
designation process at § 413.234(b). As
discussed in the CY 2016 ESRD PPS
final rule (80 FR 69017 through 69022),
effective January 1, 2016, if a new
injectable or intravenous product is
used to treat or manage a condition for
which there is an ESRD PPS functional
category, the new injectable or
intravenous product is considered
included in the ESRD PPS bundled
payment and no separate payment is
available. The new injectable or
intravenous product qualifies as an
outlier service. The ESRD bundled
market basket updates the PPS base rate
annually and accounts for price changes
of the drugs and biologicals reflected in
the base rate.
As we discuss in § 413.234(b)(2), if
the new injectable or intravenous
product is used to treat or manage a
condition for which there is not an
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ESRD PPS functional category, the new
injectable or intravenous product is not
considered included in the ESRD PPS
bundled payment and the drug is
evaluated. First, an existing ESRD PPS
functional category is revised or a new
ESRD PPS functional category is added
for the condition that the new injectable
or intravenous product is used to treat
or manage. Next, the new injectable or
intravenous product is paid for using
the transitional drug add-on payment
adjustment (TDAPA). Then, the new
injectable or intravenous product is
added to the ESRD PPS bundled
payment following payment of the
TDAPA.
Under § 413.234(c), the TDAPA is
based on pricing methodologies under
section 1847A of the Act and is paid
until sufficient claims data for rate
setting analysis for the new injectable or
intravenous product are available, but
not for less than 2 years. During the time
a new injectable or intravenous product
is eligible for the TDAPA, it is not
eligible as an outlier service. Following
payment of the TDAPA, the ESRD PPS
base rate would be modified, if
appropriate, to account for the new
injectable or intravenous product in the
ESRD PPS bundled payment.
b. Renal Dialysis Drugs and Biologicals
Reflected in the Base Rate (ESRD PPS
Functional Categories)
As discussed above, in the CY 2016
ESRD PPS final rule (80 FR 69024), we
finalized the drug designation process
as being dependent upon the functional
categories, consistent with our policy
since the implementation of the PPS in
2011. We provide a detailed discussion
(80 FR 69013 through 69015) on how we
accounted for renal dialysis drugs and
biologicals in the ESRD PPS base rate
since its implementation on January 1,
2011. In the CY 2011 ESRD PPS final
rule (75 FR 49044 through 49053) we
explained that in order to identify drugs
and biologicals that are used for the
treatment of ESRD and therefore meet
the definition of renal dialysis services
(defined at § 413.171) that would be
included in the ESRD PPS base rate, we
performed an extensive analysis of
Medicare payments for Part B drugs and
biologicals billed on ESRD claims and
evaluated each drug and biological to
identify its category by indication or
mode of action. Categorizing drugs and
biologicals on the basis of drug action
allows us to determine which categories
(and therefore, the drugs and biologicals
within the categories) would be
considered used for the treatment of
ESRD (75 FR 49047). We grouped the
injectable and intravenous drugs and
biologicals into functional categories
based on their action (80 FR 69014).
This was done with the purpose of
adding new drugs or biologicals with
the same functions to the ESRD PPS
bundled payment as expeditiously as
possible after the drugs become
commercially available so that
beneficiaries have access to them. We
finalized the definition of an ESRD PPS
functional category in § 413.234(a) as a
distinct grouping of drugs or biologicals,
as determined by CMS, whose end
action effect is the treatment or
management of a condition or
conditions associated with ESRD.
Using the functional categorization
approach, we established categories of
drugs and biologicals that are not
considered used for the treatment of
ESRD, categories of drugs and
biologicals that are always considered
used for the treatment of ESRD, and
categories of drugs and biologicals that
may be used for the treatment of ESRD
but are also commonly used to treat
other conditions (75 FR 49049 through
49051). The drugs and biologicals that
were identified as not used for the
treatment of ESRD were not considered
renal dialysis services and were not
included in computing the base rate.
The functional categories of drugs and
biologicals that are not included in the
base rate can be found in the CY 2011
ESRD PPS final rule (75 FR 49049). The
functional categories of drugs and
biologicals that were always and may be
considered used for the treatment of
ESRD were considered renal dialysis
services and were included in
computing the base rate. Subsequent to
the CY 2011 discussion about the
always and may be functional categories
(75 FR 49050 through 49051), we also
discussed these categories in the CY
2016 ESRD PPS final rule (80 FR 69015
through 69018) and clarified the
medical conditions or symptoms that
indicate the drugs are used for the
treatment of ESRD. See Table 1.
TABLE 1—ESRD PPS FUNCTIONAL CATEGORIES
Category
Rationale for association
Access Management ...................................
Drugs used to ensure access by removing clots from grafts, reverse anticoagulation if too much
medication is given, and provide anesthetic for access placement.
Drugs used to stimulate red blood cell production and/or treat or prevent anemia. This category includes ESAs as well as iron.
Drugs used to prevent/treat bone disease secondary to dialysis. This category includes phosphate
binders and calcimimetics.
Drugs used for deficiencies of naturally occurring substances needed for cellular management.
This category includes levocarnitine.
Used to prevent or treat nausea and vomiting related to dialysis. Excludes antiemetics used for
purposes unrelated to dialysis, such as those used in conjunction with chemotherapy as these
are covered under a separate benefit category.
Used to treat vascular access-related and peritonitis infections. May include antibacterial and
antifungal drugs.
Drugs in this classification have multiple clinical indications. Use within an ESRD functional category includes treatment for itching related to dialysis.
Drugs in this classification have multiple actions. Use within an ESRD functional category includes
treatment of restless leg syndrome related to dialysis.
Drug/fluids used to treat fluid excess/overload.
Intravenous drugs/fluids used to treat fluid and electrolyte needs.
Anemia Management ..................................
Bone and Mineral Metabolism .....................
Cellular Management ..................................
Antiemetic ....................................................
Anti-infectives ..............................................
Antipruritic ....................................................
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Anxiolytic ......................................................
Excess Fluid Management ..........................
Fluid and Electrolyte Management Including Volume Expanders.
Pain Management .......................................
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Drugs used to treat vascular access site pain and to treat pain medication overdose, when the
overdose is related to medication provided to treat vascular access site pain.
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In computing the ESRD PPS base rate,
we used the payments in 2007 for drugs
and biologicals included in the always
functional categories, that is, the
injectable forms (previously covered
under Part B) and oral or other forms of
administration (previously covered
under Part D) (75 FR 49050). For the
oral or other forms of administration for
those drugs that are always considered
used for the treatment of ESRD, we
determined that there were oral or other
forms of injectable drugs only for the
bone and mineral metabolism and
cellular management categories.
Therefore, we included the payments
made under Part D for oral vitamin D
(calcitriol, doxercalciferol and
paricalcitol) and oral levocarnitine in
our computation of the base rate (75 FR
49042).
In the CY 2011 ESRD PPS final rule
(75 FR 49050 through 49051), we
explained that drugs and biologicals
that may be used for the treatment of
ESRD may also be commonly used to
treat other conditions. We used the
payments made under Part B in 2007 for
these drugs in computing the ESRD PPS
base rate, which only included
payments made for the injectable
version of the drugs. We excluded the
Part D payments for the oral (or other
form of administration) substitutes of
the drugs and biologicals described
above because they were not furnished
or billed by ESRD facilities or furnished
in conjunction with dialysis treatments
(75 FR 49051). For those reasons, we
presumed that these drugs and
biologicals that were paid under Part D
were prescribed for reasons other than
for the treatment of ESRD. However, we
noted that if these drugs and biologicals
paid under Part D are furnished by an
ESRD facility for the treatment of ESRD,
they would be considered renal dialysis
services and not be billed or paid under
Part D.
Table 19 of the CY 2011 ESRD PPS
final rule (75 FR 49075) provides the
Medicare allowable payments for all of
the components of the ESRD PPS base
rate for CY 2007, inflated to CY 2009,
including payments for drugs and
biologicals and the amount each
contributed to the base rate, except for
the oral-only renal dialysis drugs where
payment under the ESRD PPS has been
delayed. A list of the specific Part B
drugs and biologicals that were
included in the final ESRD PPS base
rate is located in Table C of the
Appendix of the CY 2011 ESRD PPS
final rule (75 FR 49205 through 49209).
A list of the former Part D drugs that
were included in the final ESRD PPS
base rate is located in Table D of the
Appendix of that rule (75 FR 49210). As
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discussed in section II.3.d of this
proposed rule, the ESRD PPS base rate
is updated annually by the ESRD
bundled (ESRDB) market basket.
c. Section 1847A of the Social Security
Act (the Act) and Average Sales Price
(ASP) Methodology Under the ESRD
PPS
In the CY 2005 Physician Fee
Schedule (PFS) final rule, published on
November 15, 2004 (69 FR 66299
through 66302) in the Federal Register,
we discussed that section 303(c) of the
Medicare Prescription Drug,
Improvement, and Modernization Act of
2003 (MMA) added section 1847A to the
Act and established the Average Sales
Price (ASP) methodology for certain
drugs and biologicals not paid on a cost
or prospective payment basis furnished
on or after January 1, 2005. The ASP
methodology is based on quarterly data
submitted to CMS by drug
manufacturers. The ASP amount is
based on the manufacturer’s sales to all
purchasers (with certain exceptions) net
of all manufacturer rebates, discounts,
and price concessions. Sales that are
nominal in amount are exempted from
the ASP calculation, as are sales
excluded from the determination of
‘‘best price’’ in the Medicaid drug rebate
program. Each drug with a healthcare
common procedure coding system
(HCPCS) code has a separately
calculated ASP. To allow time to submit
and calculate these data, the ASP is
updated with a two-quarter lag.1
Section 1847A(b)(1)(A) of the Act
requires that the Medicare payment
allowance for a multiple source drug
included within the same HCPCS code
be equal to 106 percent of the ASP for
the HCPCS code. Section 1847A(b)(1)(B)
of the Act also requires that the
Medicare payment allowance for a
single source drug HCPCS code be equal
to the lesser of 106 percent of the ASP
for the HCPCS code or 106 percent of
the wholesale acquisition cost (WAC) of
the HCPCS code.
Section 1847A(c)(4) of the Act further
provides a payment methodology in
cases were the ASP is unavailable.
Specifically Pub. 100–04, Chapter 17,
section 20 (https://www.cms.gov/
Regulations-and-Guidance/Guidance/
Manuals/downloads/;clm104c17.pdf)
titled ‘‘Payment Allowance Limit for
Drugs and Biologicals Not Paid on a
Cost or Prospective Payment Basis’’,
provides guidance on how Medicare
Part B pays for drugs and biologicals
1 Sheingold, S., Marchetti-Bowick, E., Nguyen, N.,
Yabrof, K.R. (2016, March). Medicare Part B Drugs:
Pricing and Incentives. Retrieved from https://
aspe.hhs.gov/system/files/pdf/187581/
PartBDrug.pdf.
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34311
under section 1847A of the Act and
notes that, in the case of a drug or
biological during an initial period (not
to exceed a full calendar quarter) in
which data on the prices for sales for the
drug or biological are not sufficiently
available from the manufacturer to
compute an average sales price for the
drug or biological, the Secretary may
determine the amount payable under
this section for the drug or biological
based on—the wholesale acquisition
cost; or the methodologies in effect
under this part on November 1, 2003, to
determine payment amounts for drugs
or biologicals. This publication provides
guidance on how Medicare Part B pays
for drugs and biologicals under section
1847A of the Act.
In the CY 2018 ESRD PPS final rule
(82 FR 50742 through 50743), we
discussed how we have used the ASP
methodology since the implementation
of the ESRD PPS when pricing ESRDrelated drugs and biologicals previously
paid separately under Part B (prior to
the ESRD PPS) for purposes of ESRD
PPS policies or calculations. We
adopted § 413.234(c), which requires
that the TDAPA is based on the pricing
methodologies available under section
1847A of the Act (including 106 percent
of ASP). We also use such pricing
methodologies for new and existing
injectable drugs or biologicals that
qualify as an outlier service.
d. Proposed Revision to the Drug
Designation Process Regulation
As noted above, in prior rulemakings
we addressed how new drugs and
biologicals are implemented under the
ESRD PPS and how we have accounted
for renal dialysis drugs and biologicals
in the ESRD PPS base rate since its
implementation on January 1, 2011.
Accordingly, the drug designation
process we finalized is dependent upon
the functional categories we developed
and is consistent with the policy we
have followed since the inception of the
ESRD PPS. However, since PAMA only
required the Secretary to establish a
process for including new injectable and
intravenous drugs and biologicals, such
new products were the primary focus of
the regulation we adopted at § 413.234,
rather than codifying our full policy for
other renal dialysis drugs, such as drugs
and biologicals with other forms of
administration, including, oral, that by
law are included under the ESRD PPS
(though oral-only renal dialysis drugs
are required to remain outside of the
ESRD PPS bundle until CY 2025).
In this proposed rule, we propose to
revise the drug designation process
regulations at § 413.234 to reflect that
the process applies for all new renal
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dialysis drugs and biologicals that are
approved regardless of the form or route
of administration, that is, new
injectable, intravenous, oral, or other
route of administration, or dosage form.
We note that for purposes of the ESRD
PPS drug designation process, use of the
term form of administration is used
interchangeably with route of
administration. We are proposing these
revisions so that the regulation reflects
our long standing policy for all new
renal dialysis drugs and biologicals,
regardless of the form or route of
administration, with the exception of
oral-only drugs. Specifically, we
propose to replace the definition of
‘‘new injectable or intravenous product’’
at § 413.234(a), ‘‘an injectable,
intravenous, oral or other form or route
of administration drug or biological that
is used to treat or manage a condition(s)
associated with ESRD,’’ with a
definition for ‘‘new renal dialysis drug
or biological,’’ to encompass the broader
scope of the drug designation process.
Under this definition, a new renal
dialysis drug or biological ‘‘must be
approved by the Food and Drug
Administration (FDA) on or after
January 1, 2019 under section 505 of the
Federal Food, Drug, and Cosmetic Act
or section 351 of the Public Health
Service Act, commercially available,
have an HCPCS application submitted
in accordance with the official HCPCS
Level II coding procedures, and
designated by CMS as a renal dialysis
service under § 413.171. Oral-only drugs
or biologicals are excluded until January
1, 2025.’’
In our proposal to replace the
definition of ‘‘new injectable or
intravenous product’’ in § 413.234(a)
with the proposed definition of ‘‘new
renal dialysis drug or biological,’’ we
have included the clause, ‘‘have an
HCPCS application submitted in
accordance with the official HCPCS
Level II coding procedures.’’ We note
that this would be a change from the
existing policy of requiring that the new
product be assigned an HCPCS code. We
are proposing that new renal dialysis
injectable or intravenous products are
no longer required to be assigned an
HCPCS code before the TDAPA can
apply, instead we would require that an
application has been submitted in
accordance with the Level II HCPCS
coding procedures. This would allow
the application of the TDAPA to the
ESRD PPS base rate to happen more
quickly than under our current process
wherein a lag that occurs when a drug
or biological is approved but is waiting
for the issuance of a code. Information
regarding the HCPCS process is
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available on the CMS website at https://
www.cms.gov/Medicare/;Coding/
MedHCPCSGenInfo/Application_Form_
and_Instructions.html.
This proposed definition would also
address prior concerns that we narrowly
defined ‘‘new’’ in the context of the
functional categories (that is, the drug
designation process primarily addresses
‘‘new’’ drugs that fall outside of the
functional categories for purposes of
being newly categorized and eligible for
the TDAPA). As noted in section II.B.1.f
of this proposed rule, even though we
are maintaining the functional
categories to determine whether or not
to potentially adjust or modify the ESRD
PPS base rate (that is, those renal
dialysis drugs and biologicals that do
not fall within an existing category), we
are proposing to expand the TDAPA
policy based on whether the renal
dialysis drug or biological is new, that
is, any renal dialysis drug or biological
newly approved on or after January 1,
2019.
We solicit comment on the proposed
revisions to § 413.234(a), (b), and (c).
e. Basis for Expansion of the TDAPA
Eligibility Criteria
In the CY 2016 ESRD PPS final rule
(80 FR 69017 through 69024), we
acknowledged that there are unique
situations identified by the commenters
during that rulemaking regarding the
eligibility criteria for the TDAPA. For
example, commenters stated that they
believed the drug designation process
was excessive, could hinder innovation,
prevent new treatment options from
entering the marketplace, and CMS
should contemplate the cost of new
drugs and biologicals that fall within the
functional categories. In the following
paragraphs we have summarized key
concerns commenters have raised. We
indicated in the CY 2016 ESRD PPS
final rule that we anticipated addressing
these situations in future rulemaking
and stated that we planned to consider
the issues of ESRD facility resource use,
supporting novel therapies, and
balancing the risk of including new
drugs for both CMS and the dialysis
facilities.
In the CY 2016 ESRD PPS final rule
(80 FR 69017 through 69024),
commenters seemed concerned about
the cost of new drugs that fit into the
functional categories, rather than the
process of adding new drugs to existing
categories.
In the CY 2016 ESRD PPS final rule
(80 FR 69020), a drug manufacturer
suggested that in order to promote
access to new therapies and encourage
innovation in ESRD care, the TDAPA
should apply to all new drugs not just
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those drugs that are used to treat or
manage a condition for which we have
not adopted a functional category. They
pointed out that the functional
categories are very comprehensive and
capture every known condition related
to ESRD. They indicated that under the
proposed approach, CMS would make
no additional payment regardless of
whether the drug has a novel
mechanism of action, new FDA
approval, or other distinguishing
characteristics and argued that such
distinguishing characteristics provided
rationale for additional payment. The
commenter believed the CMS proposal
sent conflicting messages to
manufacturers about the importance of
developing new treatments for this
underserved patient population.
An organization of home dialysis
patients commented (80 FR 69022) with
a similar concern, noting that the
functional categories are too broad and
could prevent people on dialysis from
receiving needed care, and be
detrimental to innovation. The
commenter stated that in the future
there could be a new medication to help
with fluid management but patients
would be shut out of ever having the
option for a new fluid management
therapy since there is an existing
functional category for excess fluid
management and therefore, these drugs
are considered to be included in the
base rate. Therefore, we believe the
commenter meant that drug
manufacturers would be less likely to
develop a new fluid management drug
knowing it would never qualify for
additional payment under the ESRD
PPS. The commenter asked that CMS
provide additional payment for new
drugs that fit into the functional
categories in order to incentivize new
medications to come to market and to
ensure they have the opportunity for
better care, choices and treatment.
A national dialysis patient advocacy
organization explained (80 FR 69021)
that if new products are immediately
added to the bundle without additional
payment it would curtail innovation in
treatments for people on dialysis. They
believed clinicians should have the
ability to evaluate the appropriate use of
a new product and its effect on patient
outcomes, and that the proposed rule
did not allow for this. The commenter
explained that Kidney Disease
Improving Global Outcomes (KDIGO)
and Kidney Disease Outcomes Quality
Initiative (KDOQI) guidelines are often
updated when evidence of improved
therapies on patient outcomes are made
available and that this rigorous and
evidence-based process is extremely
important in guiding widespread
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treatment decisions in nephrology. The
commenter expressed concern that
under the proposed rule, reimbursement
and contracting arrangements could
instead dictate utilization of a product
before real world evidence on patient
outcomes is ever generated.
The comments we received for the
drug designation process in the CY 2016
ESRD PPS rulemaking (80 FR 69017
through 69024) indicated that
commenters were also concerned about
the cost of the new drugs and
biologicals, and in particular, new drugs
and biologicals that fall within the
functional categories, and therefore,
considered by CMS to be reflected in the
ESRD PPS base rate.
A national dialysis organization
strongly urged (80 FR 69017) CMS to
adopt the same process for all new
drugs and biologicals (as opposed to
only those that do not fall within a
functional category) unless they are
substantially the same as drugs or
biologicals currently paid for under the
ESRD PPS payment rate. For new drugs
or biologicals that are substantially the
same as drugs or biologicals currently
paid under the ESRD PPS, the
organization supported incorporating
them into the PPS on a case-by-case
basis using notice-and-comment
rulemaking and foregoing the transition
period if it can be shown that the PPS
rate is adequate to cover the cost of the
drug or biological. The organization
believed if the rate is inadequate to
cover the cost of the new drug then the
TDAPA should apply. An LDO stated
that, if implemented, the proposed
process could jeopardize patient access
to drugs that are clinically superior to
existing drugs in the same functional
category. For example, the commenter
stated, if a new substantially more
expensive anemia management drug is
released and is clinically proven to be
more effective than the current standard
of care under the proposed rule, the
ESRD PPS base rate would remain
stagnant. They continued that it is not
reasonable for CMS to expect that all
dialysis facilities would incur frequent
and substantial losses in order to
furnish the more expensive, albeit more
clinically effective, drug.
A dialysis organization and a
professional association asked (80 FR
69019) that CMS consider a passthrough payment, meaning Medicare
payment in addition to the ESRD PPS
base rate for all new drugs that are
considered truly new. They
recommended a rate of 106 percent of
ASP, minus the portion of the ESRD
PPS base rate that CMS determines is
attributable to the category of drugs that
corresponds to a truly new drug. An
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LDO stated (80 FR 69020) that defining
new drugs requires special
consideration of cost. They suggested a
similar approach by stating that rather
than comparing the cost of the new drug
to the ESRD PPS base rate, we should
compare it to the cost of the existing
drugs in the same CMS-defined ‘‘mode
of action’’ category. In such a case, a
drug might qualify for payment of the
TDAPA on the basis that its cost per
unit or dosage exceeds a specified
percentage (for example 150 percent) of
the average cost per unit or dosage of
the top three most common drugs in the
same category (based on utilization
data). This comparison would
demonstrate that the amount allocated
to that category in the ESRD PPS base
rate is insufficient to cover the cost of
the new drug.
Other commenters referred (80 FR
69020) to pathways in other payment
systems that provide payment for new
drugs and biologicals to account for
their associated costs. For example, the
Outpatient Prospective Payment System
(OPPS) provides a pass-through
payment and the Inpatient Prospective
Payment System (IPPS) provides a new
technology add-on payment.
Commenters indicated (80 FR 69020)
that we should decouple the TDAPA
from the functional categories and
provide the additional payment for all
new injectable and intravenous drugs
and biologicals and oral equivalents for
2 to 3 years, similar to the IPPS or the
OPPS.
f. Proposed Expansion of the TDAPA
Eligibility Criteria
We continue to believe that the drug
designation process does not prevent
ESRD facilities from furnishing
available medically necessary drugs and
biologicals to ESRD beneficiaries.
Additionally, our position has been that
payment is adequate to ESRD facilities
to furnish new drugs and biologicals
that fall within existing ESRD PPS
functional categories. The per treatment
payment amount is a patient and facility
level adjusted base rate plus any
applicable adjustments, such as training
or outlier. Finally, the ESRD PPS
includes the ESRDB market basket,
which updates the PPS base rate
annually for input price changes for
providing renal dialysis services and
accounts for price changes of the drugs
and biologicals that are reflected in the
ESRD PPS base rate (80 FR 69019).
However, in the CY 2016 ESRD PPS
final rule, we also acknowledged that
the outlier policy would not fully cover
the cost of furnishing a new drug (80 FR
69021) and that newer drugs may be
more costly. Consequently, due to the
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34313
reasons detailed in the following
paragraphs, we are reconsidering our
previous policy on the drug designation
policy.
We recognize the unique situations
identified by the commenters discussed
in section II.B.1.e of this proposed rule,
and how they are impacted by the
eligibility criteria for the TDAPA.
Concerns regarding inadequate payment
for renal dialysis services and hindrance
of high-value innovation, among others,
are important issues that we
contemplate while determining
appropriate payment policies.
Additionally, subsequent to the
issuance of the CY 2016 ESRD PPS final
rule, we continue to hear concerns that
the drug designation process is
restrictive in nature; and receive
requests from the dialysis industry and
stakeholders that we reconsider the
applicability of the TDAPA.
We acknowledge that ESRD facilities
have unique circumstances with regard
to implementing new drugs and
biologicals into their standards of care.
For example, when new drugs are
introduced to the market, ESRD
facilities need to analyze their budget
and engage in contractual agreements to
accommodate the new therapies into
their care plans. Newly launched drugs
and biologicals can be unpredictable
with regard to their uptake and pricing
which makes these decisions
challenging for ESRD facilities.
Furthermore, practitioners should have
the ability to evaluate the appropriate
use of a new product and its effect on
patient outcomes. We agree that this
uptake period would be best supported
by the TDAPA pathway because it
would help facilities transition/test new
drugs and biologicals in their businesses
under the ESRD PPS. The TDAPA
provides flexibility and targets payment
for the use of new renal dialysis drugs
and biologicals during the period when
a product is new to the market so that
we can evaluate if resource use can be
aligned with payment. As explained in
section II.B.1.b of this proposed rule, the
ESRD PPS base rate includes dollars
allocated for drugs and biologicals that
fall within a functional category, but
those dollars may not directly address
the total resource use associated with
the newly launched drugs trying to
compete in the renal dialysis market.
We believe that we need to be
conscious of ESRD facility resource use
and the financial barriers that may be
preventing uptake of innovative new
drugs and biologicals that, while are
already accessible to them, may be
under-prescribed because the new drugs
are priced higher than currently utilized
drugs (as argued by commenters).
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Therefore, beginning January 1, 2019,
we are proposing to add
§ 413.234(b)(1)(i), (ii) and revise
§ 413.234(c) to reflect that the TDAPA,
under the authority of section
1881(b)(14)(D)(iv) of the Act, would
apply to all new renal dialysis injectable
or intravenous products, oral
equivalents, and other forms of
administration drugs and biologicals,
regardless of whether or not they fall
within a functional category. New renal
dialysis drugs and biologicals that do
not fall within an existing functional
category would continue to be paid
under the TDAPA and the ESRD PPS
base rate would be modified, if
appropriate, to reflect the new
functional category. We are revising
§ 413.234(b)(2)(ii) and § 413.234(c)(2),
removing § 413.234(c)(3), and adding
§ 413.234(c)(2)(i) to reflect that we
would continue to provide the TDAPA,
collect sufficient data, and modify the
ESRD PPS base rate, if appropriate, for
these new drugs and biologicals that do
not fall within an existing functional
category.
We propose to revise § 413.234(c)(1)
to reflect that for new renal dialysis
drugs and biologicals that fall within a
functional category, the TDAPA would
apply for only 2 years. While we are not
collecting claims data for purposes of
analyzing utilization to result in a
change to the base rate, we would still
monitor renal dialysis service utilization
for trends and believe that this
timeframe is adequate for payment. We
believe that 2 years is a sufficient
timeframe for facilities to set up system
modifications, and adjust business
practices so that there is seamless access
to these new drugs within the ESRD PPS
base rate. In addition, when we
implement policy changes whereby
facilities need to adjust their system
modifications or protocols, we have
provided a transition period. We believe
that this 2-year timeframe is similar in
that facilities are making changes to
their systems and care plan to
incorporate the new renal dialysis drugs
and biologicals into their standards of
care and this could be supported by a
transition period. Also, the TDAPA for
2 years would address the stakeholders
concerns regarding additional payment
to account for higher cost of more
innovative drugs that perhaps may not
be adequately captured by the dollars
allocated in the ESRD PPS base rate.
That is, this transitional payment would
give the new renal dialysis drugs and
biologicals a foothold in the market so
that when the timeframe is complete,
they are able to compete with the
existing drugs and biologicals under the
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outlier policy, if applicable. Meaning,
once the timeframe is complete, drugs
would then qualify as outlier services, if
applicable, and the facility would no
longer receive the TDAPA for any one
particular drug. Instead, in the outlier
policy space, there is a level playing
field where drugs could gain market
share by offering the best practicable
combination of price and quality. We
believe that the proposed timeframe is
long enough to be meaningful but not
too long as to improperly incentivize
high cost items without more value, for
example, substitutions of those drugs
that already exist in the functional
category.
We note that this proposal would
increase Medicare expenditures, which
would result in increases to ESRD
beneficiary cost sharing, since we have
not previously provided the TDAPA for
new renal dialysis drugs and biologicals
in the past. It is our understanding that
there are new drugs and biologicals in
the pipelines, for example, we are aware
that there are new drugs that would fall
within the anemia management, bone
and mineral, and pain management
categories. We would continue to
monitor the use of the TDAPA and
carefully evaluate the new renal dialysis
drugs and biologicals that qualify. We
would address any concerns through
future refinements to the TDAPA policy.
We are also proposing that when a
new renal dialysis drug or biological
falls within an existing functional
category at the end of the TDAPA period
we would not modify the ESRD PPS
base rate, but at the end of the 2 years,
as consistent with the existing outlier
policy, the drug would be eligible for
outlier payment. However, as discussed
in section II.B.1.h of this proposed rule,
if the new renal dialysis drug or
biological is considered to be a
composite rate drug, it would not be
eligible for an outlier payment. The
intent of the TDAPA for these drugs is
to provide a transition period for the
unique circumstances experienced by
ESRD facilities and to allow time for the
uptake of the new drug. We do not
believe that it would be appropriate to
add dollars to the ESRD PPS base rate
for new renal dialysis drugs and
biologicals that fall within existing
functional categories and that doing
such would be in conflict with the
fundamental principles of a PPS. Under
a PPS, Medicare makes payments based
on a predetermined, fixed amount that
reflects the average patient and the
facility retains the profit or suffers a loss
resulting from the difference between
the payment rate and the facility’s cost
which creates an incentive for cost
control. It is not the intent of a PPS to
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add dollars to the base whenever
something new is made available. We
believe this proposal, that is, no
modification to the base rate at the end
of the TDAPA period for new renal
dialysis drugs and biologicals that fall
within an existing functional category
would maintain the overall goal of a
bundled PPS, that is, the limitation of
applying the TDAPA would not
undermine the bundle since there is no
permanent adjustment to the base rate.
This proposal would also strike a
balance of maintaining the existing
functional category scheme of the drug
designation process and not adding
dollars to the ESRD PPS base rate when
the base rate may already reflect costs
associated with such services, while
still promoting high-value innovation
and allowing facilities to adjust or factor
in new drugs through a short-term
transitional payment. We are proposing
to add § 413.234(c)(1)(i) to reflect that
when a new renal dialysis drug or
biological falls within an existing
functional category at the end of the
TDAPA period, we would not modify
the ESRD PPS base rate. We solicit
comment on this proposal.
We are proposing to operationalize
this proposed policy no later than
January 1, 2020. This deadline would
provide us with the appropriate time to
prepare the necessary changes to our
claims processing systems.
We solicit comment on the proposal
to revise § 413.234(c) and (c)(1) to reflect
that the TDAPA would apply for all new
renal dialysis drugs and biologicals
regardless of whether they fall within a
functional category. Then, for new renal
dialysis drug or biological that falls
within an existing functional category,
that payment would apply for 2 years
and there would be no modification to
the ESRD PPS base rate. We are also
soliciting comment on the
appropriateness of the 2-year timeframe
for the TDAPA for new renal dialysis
drugs and biologicals that fall within
existing functional categories.
g. Proposed Basis of Payment for the
TDAPA
Currently, under § 413.234(c), the
TDAPA is based on pricing
methodologies under section 1847A of
the Act, including 106 percent of ASP
(ASP+6). If we adopt the proposals
discussed in section II.B.1.f of this
proposed rule using the same pricing
methodologies, Medicare expenditures
would increase, which would result in
increases of cost sharing for ESRD
beneficiaries, since we have not
previously provided the TDAPA for all
new renal dialysis drugs and biologicals
in the past.
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The TDAPA is a payment adjustment
under the ESRD PPS and is not intended
to be a mechanism for payment for new
drugs and biologicals under Medicare
Part B, and under section
1881(b)(14)(D)(iv) of the Act, we believe
it may not be appropriate to base the
TDAPA strictly on section 1847A of the
Act methodologies. For this proposed
rule, we considered options for basing
payment under the TDAPA, for
example, maintaining the policy as is
and facility cost of acquiring drugs and
biologicals. We found that the while
ASP could encourage certain
unintended consequences (discussed
below), it continues to be the best data
available since it is commonly used to
facilitate Medicare payment across care
settings and, as described in section
II.B.1.c, is based on the manufacturer’s
sales to all purchasers (with certain
exceptions) net of all manufacturer
rebates, discounts, and price
concessions.
Further, since the implementation of
section 1847A of the Act, stakeholders
and executive policy advisors have
analyzed this section of the statute and
issued their respective critiques on the
purpose of the ASP add-on percentage.
On March 8, 2016, the Assistant
Secretary for Planning and Evaluation
(ASPE) issued an Issue Brief titled,
‘‘Medicare Part B Drugs: Pricing and
Incentives’’ (https://aspe.hhs.gov/
system/files/pdf/;187581/
PartBDrug.pdf). In this brief ASPE
touches on several concerns they have
about the ASP methodology. Two of
those concerns regard the economic
incentives of cost and value. ASPE
noted that the ASP methodology for Part
B drugs falls short of providing value
based incentives in several ways.
Specifically, they noted physicians can
often choose between several similar
drugs for treating a patient and although
the current system may encourage
providers and suppliers to pursue the
lowest price for drugs that are multiple
source, payment based on drug specific
ASP provides little incentive to make
choices among the therapeutic options
with an eye towards value and choose
among the lowest price among all drugs
available to effectively treat a patient.
Rationale for the 6 percent add-on has
been to cover administrative and
overhead costs, but such costs are not
proportional to the price of the drug.
The fixed 6 percent of ASP provides a
larger ‘‘add-on’’ for higher priced drugs
than for lower priced drugs, resulting in
increased profit margins for the
physicians’ office and hospitals creating
a perverse incentive to choose the high
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priced drugs as opposed to lower priced
alternatives of similar effectiveness.
In MedPAC’s June 2015 Report to
Congress (https://medpac.gov/docs/
default-source/reports/june-2015-reportto-the-congress-medicare-and-thehealth-care-delivery-system.pdf),
MedPAC provides discussion around
the meaning of the 6 percent that is
added to the ASP and provides their
opinion on its purpose. In their report,
they state ‘‘There is no consensus on the
original intent of the 6 percent add-on
to ASP. A number of rationales have
been suggested by various stakeholders.
Some suggest that the 6 percent is
intended to cover drug storage and
handling costs. Others contend that the
6 percent is intended to maintain access
to drugs for smaller practices and other
purchasers who may pay above average
prices for the drugs. Another view is
that the add-on to ASP was intended to
cover factors that may create a gap
between the manufacturers’ reported
ASP and the average purchase price
across providers (for example, promptpay discounts). Another rationale for the
percentage add-on may be to provide
protection for providers when price
increases occur and the payment rate
has not yet caught up.’’
Finally, with regard to acquisition
costs in a 2006 Report to Congress titled,
‘‘Sales of Drugs and Biologicals to Large
Volume Producers (https://
www.cms.gov/Research-Statistics-Dataand-Systems/;Statistics-Trends-andReports/Reports/Downloads/LVP_RTC_
2_09_06.pdf), the Secretary was tasked
to submit a Report to Congress (RTC) to
include recommendations as to whether
sales to large volume purchasers should
be excluded from the computation of
manufacturer’s ASP. The contractor
made extensive efforts to collect and
analyze data regarding large volume
drug purchasers. They were unable to
obtain data on ASP by type of purchaser
from the drug manufacturers, and were
unable to determine net acquisition
costs. The sensitive and proprietary
nature of prescription drug pricing data
made it extremely difficult to obtain the
data necessary for the report. Given that
ASP was designed to broadly reflect
market prices without data on net
acquisition cost, it is not possible to
accurately analyze the impact of large
volume purchasers on overall ASP. In
2018, we remain unable to obtain
contractual information regarding drug
pricing and ESRD PPS, which is
especially pertinent since the dialysis
stage is dominated by two large dialysis
organizations who administer drugs and
biologicals to the majority of ESRD
beneficiaries.
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To balance the price controls inherent
in any PPS we believe that we need to
take all of these issues into
consideration to revise the basis for
TDAPA payment. We are, and will
continue to be, conscious of ESRD
facility resource use and recognize the
financial barriers that may be preventing
uptake of innovative new drugs and
biologicals. Therefore, we are proposing
to revise § 413.234(c) under the
authority of section 1881(b)(14)(D)(iv) of
the Act, to reflect that we would base
the TDAPA payments on 100 percent of
ASP (ASP+0) instead of the pricing
methodologies available under section
1847A of the Act (which includes
ASP+6).
This proposal applies to new renal
dialysis drugs and biologicals that fall
within an existing functional category
and to those that do not fall within an
existing functional category. We believe
that ASP+0 is a reasonable basis for
payment for the TDAPA for new renal
dialysis drugs and biologicals that fall
within an existing functional category
because there are already dollars in the
per treatment base rate for a new drug’s
respective category. We also believe that
ASP+0 is a reasonable basis for payment
for the TDAPA for new renal dialysis
drugs and biologicals that do not fall
within the existing functional category
because the ESRD PPS base rate has
dollars built in for administrative
complexities and overhead costs for
drugs and biologicals. We note that
there is no clear statement from
Congress as to why the payment
allowance is required to be 106 percent
of ASP (ASP+6) as opposed to any other
value from 101 to 105 percent, and, as
MedPAC discussed in their June 2015
report, there is no consensus amongst
stakeholders.
We further believe that moving from
pricing methodologies available under
section 1847A of the Act, (which
includes ASP+6) to ASP+0 for all new
renal dialysis drugs and biologicals
regardless of whether they fall within an
ESRD PPS functional category strikes a
balance between the increase to
Medicare expenditures (subsequently
increasing beneficiary coinsurance) and
stakeholder concerns discussed in
section II.B.1.e of this proposed rule.
That is, we propose to provide the
TDAPA for new drugs that are within an
existing functional category, which is an
expansion from the existing policy. This
proposal would also aim to promote
innovation and bring more high-value
drugs to market. This proposal would
further address concerns about
incentivizing use of high cost drugs in
ESRD facilities, also discussed in
section II.B.1.e of this proposed rule. We
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solicit comment on the proposal to
revise § 413.234(c) to reflect that we
would base the TDAPA payments on
ASP+0. While we propose to change the
basis of payment for the TDAPA from
pricing methodologies available under
section 1847A of the Act, (which
includes ASP+6) to ASP+0, we are also
soliciting comment on other add-on
percentages to the ASP amount, that is,
ASP+1 to 6 percent for commenters to
explain why it may be appropriate to
have a higher percentage.
There are times when the ASP is not
available. For example, when a new
drug or biological is brought to the
market, sales data is not sufficiently
available for the manufacturer to
compute an ASP. Therefore, when the
ASP is not available, we propose that
the TDAPA payment would be based on
100 percent of Wholesale Acquisition
Cost (WAC) and, when WAC is not
available, the TDAPA payment would
be based on the drug manufacturer’s
invoice. We solicit comment on this
proposal.
We note that this proposal to use
ASP+0 as the basis for the TDAPA
payments, if adopted, would apply
prospectively to new drugs and
biologicals as of January 1, 2019.
Currently, calcimimetics are eligible for
the TDAPA and payment for both the
injectable and oral versions are based on
pricing methodologies under section
1847A of the Act. This proposal would
not affect calcimimetics, which would
continue to be eligible for the TDAPA
payment based on ASP+6.
h. Drug Designation Process for
Composite Rate Drugs and Biologicals
In the CY 2016 ESRD PPS final rule,
we did not discuss composite rate drugs
and biologicals explicitly in context of
the drug designation process. Composite
rate services are discussed in the CY
2011 ESRD PPS final rule (75 FR 49036,
49078 through 49079) and are identified
as renal dialysis services in § 413.171
and under section 1847(b)(14)(B) of the
Act. Prior to the implementation of the
ESRD PPS, certain drugs used in
furnishing outpatient maintenance
dialysis treatments were considered
composite rate drugs and not billed
separately. Composite rate drug and
biological policies are discussed in Pub.
100–02, chapter 11, section 20.3.F
(https://www.cms.gov/Regulations-andGuidance/Guidance/Manuals/
downloads/bp102c11.pdf). This manual
lists the drugs and fluids considered in
the composite rate as heparin,
antiarrythmics, protamine, local
anesthetics, apresoline, dopamine,
insulin, lidocaine, mannitol, saline,
pressors, heparin antidotes, benadryl,
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hydralazine, lanoxin, solu-cortef,
glucose, antihypertensives,
antihistamines, dextrose, inderal,
levophed, and verapamil. Drugs that are
used as a substitute for any of these
items, or are used to accomplish the
same effect, are also covered under the
ESRD PPS.
We used the composite rate payments
made under Part B in 2007 for dialysis
in computing the ESRD PPS base rate.
These are identified on Table 19 of the
CY 2011 ESRD PPS final rule (75 FR
49075) as ‘‘Composite Rate Services’’. In
addition, we note that under § 413.237,
composite rate drugs and biologicals are
not permitted to be considered for an
outlier payment. The outlier policy is
discussed in section II.B.3.c of this
proposed rule.
Composite rate drugs and biologicals
were also grouped into functional
categories during the drug
categorization for the CY 2011 ESRD
PPS final rule (75 FR 49044 through
49053). For example, heparin is a
composite rate drug and falls within the
Access Management category. However,
these functional categories exclude
certain composite rate items given that
certain drugs and biologicals formerly
paid for under the composite rate were
those that were routinely given during
the time of the patient’s dialysis and not
always specifically for the treatment of
their ESRD. For example, an
antihypertensive composite rate drug
that falls within the Cardiac
Management category, which is not an
ESRD PPS functional category, is not
considered to be furnished for the
treatment of ESRD and therefore, not
included under the ESRD PPS.
In light of our proposal to expand the
drug designation process and the
TDAPA, we also propose, under the
authority of section 1881(b)(14)(D)(iv) of
the Act, that it extend to composite rate
drugs and biologicals that are furnished
for the treatment of ESRD. Specifically,
beginning January 1, 2019, we propose
that if a new renal dialysis drug or
biological as defined in the proposed
revision at § 413.234(a) is considered to
be a composite rate drug or biological
and falls within an ESRD PPS functional
category, it would be eligible for the
TDAPA. We note that composite rate
drugs and biologicals that are not
considered to be furnished for the
treatment of ESRD, and therefore, are
not included in the ESRD PPS, would
not be eligible for the TDAPA, for
example, antihypertensives. We believe
that the same unique consideration for
innovation and cost exists for drugs that
are considered composite rate drugs.
That is, the ESRD PPS base rate dollars
allocated for these types of drugs may
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not directly address the costs associated
with drugs in this category when they
are newly launched and are finding
their place in the market. Accordingly,
we propose that the expanded drug
designation process and the TDAPA
policy we proposed in section II.B.1.f of
this proposed rule, including the
proposed changes to § 413.234, would
be applicable to composite rate drugs,
with one exception. Under our proposal,
new composite rate drugs would not be
subject to outlier payments following
the period that the TDAPA applies,
since we are not proposing to change
the current outlier policy under
§ 413.237, which does not apply to
composite rate drugs. We are, however,
soliciting comments on whether we
should consider applying our outlier
policy to composite rate drugs in the
future (see section II.B.3.c of this
proposed rule). We would continue to
monitor the use of the TDAPA and
carefully evaluate the new renal dialysis
drugs and biologicals that qualify. We
would address any concerns through
future refinements to the TDAPA policy.
We solicit comment on the proposal
to recognize composite rate drugs and
biologicals in the same manner as drugs
that were formerly separately paid
under Part B when furnished for the
treatment of ESRD for purposes of the
proposed revisions to the drug
designation process and eligibility for
the TDAPA.
2. Low-Volume Payment Adjustment
(LVPA) Revision
a. Background
As required by section
1881(b)(14)(D)(iii) of the Act, the ESRD
PPS includes a payment adjustment that
reflects the extent to which costs
incurred by low-volume facilities in
furnishing renal dialysis services exceed
the costs incurred by other facilities
furnishing such services. We have
established a low-volume payment
adjustment (LVPA) factor of 23.9
percent for ESRD facilities that meet the
definition of a low-volume facility.
Under § 413.232(b), a low-volume
facility is an ESRD facility that, based
on the submitted documentation—(1)
Furnished less than 4,000 treatments in
each of the 3 cost reporting years (based
on as-filed or final settled 12consecutive month cost reports,
whichever is most recent) preceding the
payment year; and (2) Has not opened,
closed, or received a new provider
number due to a change in ownership
in the 3 cost reporting years (based on
as-filed or final settled 12-consecutive
month cost reports, whichever is most
recent) preceding the payment year.
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Under § 413.232(c), for purposes of
determining the number of treatments
furnished by the ESRD facility, the
number of treatments considered
furnished by the ESRD facility equals
the aggregate number of treatments
furnished by the ESRD facility and the
number of treatments furnished by other
ESRD facilities that are both under
common ownership with, and 5 road
miles or less from, the ESRD facility in
question.
For purposes of determining
eligibility for the LVPA, ‘‘treatments’’
means total hemodialysis (HD)
equivalent treatments (Medicare and
non-Medicare as well as ESRD and nonESRD). For peritoneal dialysis (PD)
patients, 1 week of PD is considered
equivalent to 3 HD treatments. As noted,
we base eligibility on the 3 years
preceding the payment year and those
years are based on cost reporting
periods. Specifically, under
§ 413.232(g), the ESRD facility’s cost
reports for the periods ending in the 3
years preceding the payment year must
report costs for 12-consecutive months
(76 FR 70237).
In order to receive the LVPA under
the ESRD PPS, an ESRD facility must
submit a written attestation statement to
its Medicare Administrative Contractor
(MAC) confirming that it meets all of the
requirements specified § 413.232 and
qualifies as a low-volume ESRD facility.
Section 413.232(e) imposes a yearly
November 1 deadline for attestation
submissions. This timeframe provides
60 days for a MAC to verify that an
ESRD facility meets the LVPA eligibility
criteria (76 FR 70236). Further
information regarding the
administration of the LVPA is provided
in the Medicare Benefit Policy Manual,
CMS Pub. 100–02, Chapter 11, section
60.B.1.
b. Revisions to the LVPA Requirements
and Regulations
We have heard from stakeholders that
low-volume facilities rely on the lowvolume adjustment and loss of the
adjustment could result in beneficiary
access issues. Specifically, stakeholders
expressed concern that the eligibility
criteria in the LVPA regulations are very
explicit and leave little room for
flexibility in certain circumstances. For
example, in the CY 2017 ESRD PPS final
rule (81 FR 77863), a commenter
suggested refinements to the definition
of a low-volume facility to address the
rare change of ownership (CHOW)
instance wherein the new owner accepts
the Medicare agreement but the
ownership change results in a new
provider number because of a facility’s
type reclassification. The commenter
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explained that in this example, due to
the issuance of a new Medicare provider
billing number or provider transaction
access number (PTAN) when the
facility’s type is reclassified, this facility
would be deemed ineligible for the
LVPA since our policy requires new
Medicare provider billing numbers
qualify for the LVPA, which takes 3
years. We also discovered that facilities
that change their fiscal year without
going through a CHOW become
ineligible for the adjustment. Finally,
stakeholders also communicated that
the strict enforcement of the attestation
deadline without exception should be
reevaluated since missing the deadline
results in the facility losing the LVPA
and their payments are significantly
reduced. Thus, in order to be responsive
to stakeholders and increase flexibility
with regard to eligibility for the LVPA,
we are proposing to make changes to the
LVPA regulation at § 413.232.
The first proposed revision concerns
the assignment of a PTAN when a
facility undergoes a CHOW as described
in 42 CFR 489.18. A facility is ineligible
under § 413.232(b)(2) and (g)(2) for the
LVPA for 3 years if it goes through a
CHOW that results in a new PTAN. In
response to a comment we received
during the CY 2011 ESRD PPS
rulemaking (75 FR 49123), we explained
that we believe that a 3-year waiting
period serves as a safeguard against
facilities establishing new facilities that
are purposefully small. We also
explained that we structured our
analysis of the ESRD PPS by looking
across data for 3 years as we believe that
the 3-year timeframe provided us with
a sufficient span of time to view
consistency in business operations.
However, as we mentioned above, we
have heard from stakeholders that this
policy unfairly impacts facilities that
undergo a CHOW that results in a
change in facility type (for example, the
facility type changes from hospitalbased to freestanding). Under this
scenario, as discussed in the Medicare
State Operations Manual, Pub. 100–07,
Chapter 3, Section 3210.4C (https://
www.cms.gov/Regulations-andGuidance/Guidance/Manuals/
downloads/som107c03.pdf) and the
Medicare Program Integrity Manual,
Pub. 100–08, Chapter 15, Section
15.7.7.1 (https://www.cms.gov/
Regulations-and-Guidance/Guidance/
Manuals/Downloads/pim83c15.pdf),
CMS requires the issuance of a new
CMS Certification Number (CCN) and
provider agreement, which may lead to
the issuance of a new PTAN, even if the
new owner has accepted assignment of
the existing Medicare provider
agreement, that is, the new owner
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34317
accepts the previous owner’s assets and
liabilities.
We agree with the stakeholders that
the language in the regulation regarding
PTAN status could restrict LVPA
eligibility to an otherwise qualified
ESRD facility from receiving the
adjustment for 3 years, until the new
PTAN qualifies for the adjustment. We
recognize that there are technicalities
regarding the assignment of a PTAN that
could cause substantive impacts with
eligibility for the LVPA that were not
contemplated at the time the regulation
was established. The intent of the LVPA
has always been that if an ESRD facility
undergoes a CHOW wherein the new
owner accepts assignment of the
existing Medicare provider agreement
that they should continue to be eligible
for the LVPA since this indicates a
consistency in business operations.
We are proposing to expand the
definition of a low-volume facility in
§ 413.232(b)(2) to include CHOWs
where the new owner accepts
assignment of the existing Medicare
provider agreement and a new PTAN is
issued due to a change in facility type.
This proposal does not extend to
CHOWs where a new PTAN is issued
for any other reason. We solicit
comment on the proposal to revise the
language at § 413.232(b)(2) to reflect that
ESRD facilities can meet the definition
of a low-volume facility when they have
a CHOW that results in a new PTAN
due to a change in facility type but
accepts assignment of the existing
Medicare provider agreement. We are
also proposing to amend § 413.232(g)(2),
which governs the determination of
LVPA eligibility, to recognize the
proposed expansion of the low-volume
facility definition to allow for PTAN
changes when the facility type changes
as a result of CHOW. We solicit
comment on this proposal.
We are also proposing to allow for an
extraordinary circumstance exception to
the November 1 attestation deadline
under § 413.232(e). We agree with the
stakeholders that there could be
unforeseeable factors that contribute to
a delay in the submission of the
attestation and we would not want to
prevent an otherwise qualified ESRD
facility from receiving the adjustment.
For example, while a failure to timely
submit the attestation because of poor
communication between a facility and
its respective MAC, or because a facility
forgets to send the attestation to the
MAC, would not constitute
extraordinary circumstances; a natural
disaster could, because such an event is
unforeseeable and extraordinary, which
may understandably delay the timely
submission of the attestation. We expect
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extraordinary exceptions to be rare and
the determination of acceptability
would be made on a case-by-case basis.
We have heard from stakeholders that
they have lost eligibility for the LVPA
due to extraordinary circumstances,
such as natural disasters, that prevented
them from submitting their attestation
by the deadline. In those types of
instances, we believe an exception to
the attestation deadline could be
warranted. Therefore, we are proposing
to add a clause in § 413.232(e) to
recognize an exception to the filing
deadline for extraordinary
circumstances. In order to request an
extraordinary circumstance exception,
we also propose that the facility would
need to submit a narrative explaining
the rationale for the exception to their
MAC. We would evaluate and review
the narrative to determine if an
exception is justified, and such a
determination would be final, with no
appeal. We solicit comment on the
proposal to revise the language at
§ 413.232(e) to reflect that CMS would
allow an exception to the attestation
deadline of November 1 for
extraordinary circumstances, if
determined appropriate.
In addition, we are also proposing to
allow ESRD facilities that change their
fiscal year-end for cost reporting
purposes outside of a CHOW to qualify
for the LVPA if they otherwise meet the
LVPA eligibility criteria. Under
§ 413.24(f)(3), facilities are able to
change their cost reporting period when
they request a change in writing from
their MAC and meet specific criteria for
approval. However, the current LVPA
regulation at § 413.232(g)(2)(ii) does not
technically address requirements for
changing cost reporting periods except
as a result of a CHOW, which has
prohibited facilities from receiving the
LVPA if they make a business decision
to adjust their cost reporting period,
which could interfere with the normal
course of business. We recognize that
there are business decisions an ESRD
facility could make with regard to cost
reporting periods that could
substantively impact eligibility for the
LVPA that we did not contemplate at
the time the regulation was adopted.
Specifically, there could be reasons why
a cost report does not span 12consecutive months. We did not intend
for an ESRD facility to lose their LVPA
eligibility simply because they made a
decision to change their cost reporting
period. The requirement that cost
reports span 12-consecutive months was
to bring a measure of consistent
business operations.
We are proposing to add a new
paragraph (3) to § 413.232(g) to provide
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direction for MACs in verifying the
number of treatments when a change in
a cost reporting period is approved.
When this occurs, we propose that
MACs would combine the two nonstandard cost reporting periods of less
than 12 months to equal a full 12consecutive month period or combine
the two non-standard cost reporting
periods that in combination may exceed
12-consecutive months and prorate the
data to equal a full 12-consecutive
month period. This proposal does not
impact or change requirements for
reporting, as established by the MACs,
or those set forth in § 413.24(f)(3). We
solicit comment on the proposal to add
proposed § 413.232(g)(3) to change the
information and cost report timeframes
MACs would review to determine LVPA
eligibility. This would apply to ESRD
facilities that change their cost reporting
year for purposes outside of a CHOW to
qualify for the LVPA, provided they
otherwise meet the LVPA eligibility
criteria for the purposes of allowing the
ESRD facility to continue to receive the
adjustment.
Finally, we are proposing two
additional changes to correct and
further clarify the LVPA regulation. The
first would correct a cross-reference in
§ 413.232(b) by changing ‘‘paragraph
(h)’’ to ‘‘paragraph (g)’’. This error is the
result of prior changes we made to the
regulation when we deleted other
paragraphs, but did not update the
reference accordingly. The second
proposed revision, which we are making
to § 413.232(c)(2), would clarify that the
reference to miles, are road miles. CMS
recognizes that the current designation
of miles under the regulation may not be
specific enough and could cause
confusion, and we have issued guidance
(Medicare Benefit Policy Manual, Pub.
L. 100–02, Chapter 11, Section 60)
addressing road miles. Accordingly, we
are proposing clarifying edits to
§ 413.232(c)(2).
3. Proposed CY 2019 ESRD PPS Update
a. ESRD Bundled (ESRDB) Market
Basket and Labor-Related Share
i. Proposed Rebasing of the ESRDB
Market Basket
In accordance with section
1881(b)(14)(F)(i) of the Act, as added by
section 153(b) of MIPPA and amended
by section 3401(h) of the Affordable
Care Act, beginning in 2012, the ESRD
PPS payment amounts are required to be
annually increased by an ESRD market
basket increase factor and reduced by
the productivity adjustment described
in section 1886(b)(3)(B)(xi)(II) of the
Act. The application of the productivity
adjustment may result in the increase
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factor being less than 0.0 for a year and
may result in payment rates for a year
being less than the payment rates for the
preceding year. The statute also
provides that the market basket increase
factor should reflect the changes over
time in the prices of an appropriate mix
of goods and services used to furnish
renal dialysis services.
As required under section
1881(b)(14)(F)(i) of the Act, CMS
developed an all-inclusive ESRD
Bundled (ESRDB) input price index (75
FR 49151 through 49162) and
subsequently revised and rebased the
ESRDB input price index in the CY 2015
ESRD PPS final rule (79 FR 66129
through 66136). Effective for CY 2019,
we are proposing to rebase the ESRDB
market basket to a base year of CY 2016.
Although ‘‘market basket’’ technically
describes the mix of goods and services
used for ESRD treatment, this term is
also commonly used to denote the input
price index (that is, cost categories, their
respective weights, and price proxies
combined) derived from a market
basket. Accordingly, the term ‘‘ESRDB
market basket,’’ as used in this
document, refers to the ESRDB input
price index.
The ESRDB market basket is a fixedweight, Laspeyres-type price index. A
Laspeyres-type price index measures the
change in price, over time, of the same
mix of goods and services purchased in
the base period. Any changes in the
quantity or mix of goods and services
(that is, intensity) purchased over time
are not measured.
The index is constructed in three
steps. First, a base period is selected (in
this proposed rule, we are proposing to
use 2016 as the base period) and total
base period expenditures are estimated
for a set of mutually exclusive and
exhaustive spending categories, with the
proportion of total costs that each
category represents being calculated.
These proportions are called ‘‘cost
weights’’ or ‘‘expenditure weights.’’
Second, each expenditure category is
matched to an appropriate price or wage
variable, referred to as a ‘‘price proxy’’.
In almost every instance, these price
proxies are derived from publicly
available statistical series that are
published on a consistent schedule
(preferably at least on a quarterly basis).
Finally, the expenditure weight for each
cost category is multiplied by the level
of its respective price proxy. The sum of
these products (that is, the expenditure
weights multiplied by their price index
levels) for all cost categories yields the
composite index level of the market
basket in a given period. Repeating this
step for other periods produces a series
of market basket levels over time.
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Dividing an index level for a given
period by an index level for an earlier
period produces a rate of growth in the
input price index over that timeframe.
As noted above, the market basket is
described as a fixed-weight index
because it represents the change in price
over time of a constant mix (quantity
and intensity) of goods and services
purchased to provide ESRD services.
The effects on total expenditures
resulting from changes in the mix of
goods and services purchased
subsequent to the base period are not
measured. For example, an ESRD
facility hiring more nurses to
accommodate the needs of patients
would increase the volume of goods and
services purchased by the ESRD facility,
but would not be factored into the price
change measured by a fixed-weight
ESRD market basket. Only when the
index is rebased would changes in the
quantity and intensity be captured, with
those changes being reflected in the cost
weights. Therefore, we rebase the
market basket periodically so that the
cost weights reflect changes between
base periods in the mix of goods and
services that ESRD facilities purchase to
furnish ESRD treatment.
We are proposing to use CY 2016 as
the base year for the proposed rebased
ESRDB market basket cost weights. The
cost weights for this proposed ESRDB
market basket are based on the cost
report data for independent ESRD
facilities. We refer to the market basket
as a CY market basket because the base
period for all price proxies and weights
are set to CY 2016 (that is, the average
index level for CY 2016 is equal to 100).
The major source data for the proposed
ESRDB market basket is the 2016
Medicare cost reports (MCRs) (Form
CMS–265–11), supplemented with 2012
data from the United States (U.S.)
Census Bureau’s Services Annual
Survey (SAS) inflated to 2016 levels.
The 2012 SAS data is the most recent
year of detailed expense data published
by the Census Bureau for North
American International Classification
System (NAICS) Code 621492: Kidney
Dialysis Centers. We also are proposing
to use May 2016 Bureau of Labor
Statistics (BLS) Occupational
Employment Statistics data to estimate
the weights for the Wages and Salaries
and Employee Benefits occupational
blends. We provide more detail on our
methodology below.
The terms ‘‘rebasing’’ and ‘‘revising,’’
while often used interchangeably,
actually denote different activities. The
term ‘‘rebasing’’ means moving the base
year for the structure of costs of an input
price index (that is, in this exercise, we
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are proposing to move the base year cost
structure from CY 2012 to CY 2016)
without making any other major
changes to the methodology. The term
‘‘revising’’ means changing data sources,
cost categories, and/or price proxies
used in the input price index. For CY
2019, we are proposing to rebase the
ESRD market basket to reflect the 2016
cost structure of ESRD facilities. We are
not proposing to revise the index; that
is, we are not proposing to make any
changes to the cost categories or price
proxies used in the index.
We selected CY 2016 as the new base
year because 2016 is the most recent
year for which relatively complete MCR
data are available. In developing the
proposed market basket, we reviewed
ESRD expenditure data from ESRD
MCRs (CMS Form 265–11) for 2016 for
each freestanding ESRD facility that
reported expenses and payments. The
2016 MCRs are those ESRD facilities
whose cost reporting period began on or
after October 1, 2015 and before October
1, 2016. Of the 2016 MCRs,
approximately 88 percent of
freestanding ESRD facilities had a begin
date on January 1, 2016, approximately
6 percent had a begin date prior to
January 1, 2016, and approximately 6
percent had a begin date after January 1,
2016. Using this methodology allowed
our sample to include ESRDs with
varying cost report years including, but
not limited to, the federal fiscal or CY.
We propose to maintain our policy of
using data from freestanding ESRD
facilities (which account for over 90
percent of total ESRD facilities) because
freestanding ESRD data reflect the
actual cost structure faced by the ESRD
facility itself. In contrast, expense data
for a hospital-based ESRD reflect the
allocation of overhead from the entire
institution.
We developed cost category weights
for the proposed 2016-based ESRDB
market basket in two stages. First, we
derived base year cost weights for nine
major categories (Wages and Salaries,
Employee Benefits, Pharmaceuticals,
Supplies, Lab Services, Housekeeping
and Operations, Administrative and
General, Capital-Related Building and
Fixtures, and Capital-Related
Machinery) from the ESRD MCRs.
Second, we are proposing to divide the
Administrative and General cost
category into further detail using 2012
U.S. Census Bureau Services Annual
Survey (SAS) data for the industry
Kidney Dialysis Centers NAICS 621492
inflated to 2016 levels. We apply the
estimated 2016 distributions from the
SAS data to the 2016 Administrative
and General cost weight to yield the
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34319
more detailed 2016 cost weights in the
proposed market basket. This is similar
to the methodology we used to break the
Administrative and General costs into
more detail for the 2012-based ESRDB
market basket (79 FR 40217 through
40221). The only difference is that for
this proposed rebasing because SAS
data is not available after 2012 we
inflated the 2012 expense levels to 2016
dollars using appropriate price proxies
and applied this expense distribution to
the Administrative and General cost
weight for 2016.
We are proposing to include a total of
20 detailed cost categories for the
proposed 2016-based ESRDB market
basket, which is the same number of
cost categories as the 2012-based ESRDB
market basket. We are proposing to
continue to assume that 87 percent of
Professional Fees and 46 percent of
capital costs are labor-related costs and
would be included in the proposed
labor-related share. A more thorough
discussion of our proposals is provided
below.
a. Cost Category Weights
Using Worksheets A and B from the
2016 MCRs, we first computed cost
shares for nine major expenditure
categories: Wages and Salaries,
Employee Benefits, Pharmaceuticals,
Supplies, Lab Services, Housekeeping
and Operations, Administrative and
General, Capital-Related Building and
Equipment, and Capital-Related
Machinery. Edits were applied to
include only cost reports that had total
costs greater than zero. Total costs as
reported on the MCR include those costs
reimbursable under the ESRD bundled
payment system. For example, we
excluded expenses related to vaccine
costs from total expenditures since these
are not reimbursable under the ESRD
bundled payment.
In order to reduce potential
distortions from outliers in the
calculation of the individual cost
weights for the major expenditure
categories for each cost category, values
less than the 5th percentile or greater
than the 95th percentile were excluded
from the major cost weight
computations. The proposed data set,
after removing cost reports with total
costs equal to or less than zero and
excluding outliers, included
information from approximately 5,700
independent ESRD facilities’ cost
reports from an available pool of 6,410
cost reports.
Table 2 presents the proposed 2016based ESRDB and 2012-based ESRDB
market basket major cost weights as
derived directly from the MCR data.
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TABLE 2—PROPOSED 2016-BASED ESRDB MARKET BASKET MAJOR COST WEIGHTS DERIVED FROM THE MEDICARE
COST REPORT DATA
Proposed
2016-based
ESRDB
market basket
(percent)
Cost category
Wages and Salaries ................................................................................................................................................
Employee Benefits ...................................................................................................................................................
Pharmaceuticals ......................................................................................................................................................
Supplies ...................................................................................................................................................................
Lab Services ............................................................................................................................................................
Housekeeping and Operations ................................................................................................................................
Administrative and General .....................................................................................................................................
Capital-related Building and Fixed Equipment ........................................................................................................
Capital-related Machinery ........................................................................................................................................
2012-based
ESRDB
market basket
(percent)
32.6
7.0
12.4
10.4
2.2
3.9
18.4
9.2
3.8
31.8
6.6
16.5
10.1
1.5
3.8
17.4
8.4
3.9
Note: Totals may not sum to 100.0 percent due to rounding.
sradovich on DSK3GMQ082PROD with PROPOSALS2
We are proposing to disaggregate
certain major cost categories developed
from the MCRs into more detail to more
accurately reflect ESRD facility costs.
Those categories include: Benefits,
Professional fees, Telephone, Utilities,
and All Other Goods and Services. We
describe below how the initially
computed categories and weights from
the cost reports were modified to yield
the proposed 2016 ESRDB market basket
expenditure categories and weights
presented in this proposed rule.
Wages and Salaries
The proposed Wages and Salaries cost
weight is comprised of direct patient
care wages and salaries and non-direct
patient care wages and salaries. Direct
patient care wages and salaries for 2016
was derived from Worksheet B, column
5, lines 8 through 17 of the MCR. Nondirect patient care wages and salaries
includes all other wages and salaries
costs for non-health workers and
physicians, which we are proposing to
derive using the following steps:
Step 1: To capture the salary costs
associated with non-direct patient care
cost centers, we calculated salary
percentages for non-direct patient care
from Worksheet A of the MCR. The
estimated ratios were calculated as the
ratio of salary costs (Worksheet A,
columns 1 and 2) to total costs
(Worksheet A, column 4). The salary
percentages were calculated for seven
distinct cost centers: ‘Operations and
Maintenance’ combined with
‘Machinery & Rental & Maintenance’
(line 3 and 6), Housekeeping (line 4),
Employee Health and Wellness (EH&W)
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Benefits for Direct Patient Care (line 8),
Supplies (line 9), Laboratory (line 10),
Administrative & General (line 11), and
Pharmaceuticals (line 12).
Step 2: We then multiplied the salary
percentages computed in step 1 by the
total costs for each corresponding
reimbursable costs center totals as
reported on Worksheet B. The
Worksheet B totals were based on the
sum of reimbursable costs reported on
lines 8 through 17. For example, the
salary percentage for Supplies (as
measured by line 9 on Worksheet A)
was applied to the total expenses for the
Supplies cost center (the sum of costs
reported on Worksheet B, column 7,
lines 8 through 17). This provided us
with an estimate of Non-Direct Patient
Care Wages and Salaries.
Step 3: The estimated Wages and
Salaries for each of the cost centers on
Worksheet B derived in step 2 were
subsequently summed and added to the
direct patient care wages and salaries
costs.
Step 4: The estimated non-direct
patient care wages and salaries (see step
2) were then subtracted from their
respective cost categories to avoid
double-counting their values in the total
costs.
Using this methodology, we derive a
proposed Wages and Salaries cost
weight of 32.6 percent, reflecting an
estimated direct patient care wages and
salaries cost weight of 25.1 percent and
non-direct patient care wages and
salaries cost weight of 7.5 percent, as
seen in Table 3.
The final adjustment made to this
category is to include Contract Labor
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costs. These costs appear on the MCR;
however, they are embedded in the
Other Costs from the trial balance
reported on Worksheet A, Column 3 and
cannot be disentangled using the MCRs.
To avoid double counting of these
expenses, we propose to remove the
estimated cost weight for the contract
labor costs from the Administrative and
General category (where we believe the
majority of the contract labor costs
would be reported) to the Wages and
Salaries category. We are proposing to
use data from the SAS (2012 data
inflated to 2016), which reported 2.3
percent of total expenses were spent on
contract labor costs. We allocated 80
percent of that contract labor cost
weight to Wages and Salaries. At the
same time, we subtracted that same
amount from Administrative and
General, where the majority of contract
labor expenses would likely be reported
on the MCR. The 80 percent figure that
was used was determined by taking
salaries as a percentage of total
compensation (excluding contract labor)
from the 2016 MCR data. This is the
same method that was used to allocate
contract labor costs to the Wages and
Salaries cost category for the 2012-based
ESRDB market basket.
The resulting proposed cost weight
for Wages and Salaries increases to 34.5
percent when contract labor wages are
added. The calculation of the proposed
Wages and Salaries cost weight for the
2016-based ESRDB market basket is
shown in Table 3 along with the similar
calculation for the 2012-based ESRDB
market basket.
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TABLE 3—PROPOSED 2016 AND 2012 ESRD WAGES AND SALARIES COST WEIGHT DETERMINATION
Proposed
2016 cost
weight
(percent)
Components
2012 cost
weight
(percent)
Source
Wages and Salaries Direct Patient Care ..................................................
Wages and Salaries Non-direct Patient Care ...........................................
Contract Labor (Wages) ............................................................................
25.1
7.5
1.9
23.2
8.6
1.8
Total Wages and Salaries ..................................................................
34.5
33.7
Employee Benefits
The Employee Benefits cost weight
was derived from the MCR data for
direct patient care and supplemented
with data from the SAS (2012 data
inflated to 2016) to account for nondirect patient care Employee Benefits.
The MCR data only reflects Employee
Benefit costs associated with health and
wellness; that is, it does not reflect
retirement benefits.
In order to reflect the benefits related
to non-direct patient care for employee
health and wellness, we estimated the
impact on the benefit weight using SAS.
Unlike the MCR, data from the SAS
benefits share includes expenses related
to the retirement and pension benefits.
In order to be consistent with the cost
report definitions we do not want to
include the costs associated with
retirement and pension benefits in the
cost share weights. These costs are
relatively small compared to the costs
for the health-related benefits,
accounting for only 2.7 percent of the
total benefits costs as reported on the
SAS. Incorporating the SAS data
produced an Employee Benefits (both
direct patient care and non-direct
patient care) weight that was 1.6
percentage points higher (8.6 vs. 7.0)
than the Employee Benefits weight for
direct patient care calculated directly
from the MCR. To avoid doublecounting and to ensure all of the market
basket weights still totaled 100 percent,
we removed this additional 1.6
percentage points for Non-Direct Patient
Care Employee Benefits from the
Administrative and General cost
category (where we believe the majority
of the contract labor costs would be
reported).
The final adjustment made to this
category is to include contract labor
benefit costs. Once again, these costs
appear on the MCR; however, they are
embedded in the Other Costs from the
trial balance reported on Worksheet A,
MCR.
MCR.
80% of SAS Contract Labor weight.
Column 3 and cannot be disentangled
using the MCR data. Identical to our
methodology above for allocating
Contract Labor Costs to Wages and
Benefits, we applied 20 percent of total
Contract Labor Costs, as estimated using
the SAS, to the Benefits cost weight
calculated from the cost reports. The 20
percent figure was determined by taking
benefits as a percentage of total
compensation (excluding contract labor)
from the 2016 MCR data. The resulting
cost weight for Employee Benefits
increases to 9.1 percent when contract
labor benefits are added. This is the
same method that was used to allocate
contract labor costs to the Benefits cost
category for the 2012-based ESRDB
market basket.
The Table 4 compares the 2012-based
Benefits cost share derivation as
detailed in the CY 2015 ESRD proposed
rule (79 FR 40218) to the proposed
2016-based Benefits cost share
derivation.
TABLE 4—PROPOSED 2016 AND 2012 ESRD EMPLOYEE BENEFITS COST WEIGHT DETERMINATION
Proposed
2016 cost
weight
(percent)
Components
2012 cost
weight
(percent)
Source
Employee Benefits Direct Patient Care .....................................................
Employee Benefits Non-direct Patient Care ..............................................
Contract Labor (Benefits) ..........................................................................
7.0
1.6
0.5
6.6
1.8
0.5
Total Employee Benefits ....................................................................
9.1
8.8
sradovich on DSK3GMQ082PROD with PROPOSALS2
Pharmaceuticals
The proposed 2016-based ESRDB
market basket includes expenditures for
all drugs, including formerly separately
billable drugs and ESRD-related drugs
that were covered under Medicare Part
D before the ESRD PPS was
implemented. We calculated a
Pharmaceutical cost weight from the
following cost centers on Worksheet B,
the sum of lines 8 through 17, for the
following columns: 11 ‘‘Drugs Included
in Composite Rate’’; 12 ‘‘Erythropoiesis
stimulating agents (ESAs)’’; 13 ‘‘ESRDRelated Drugs’’. We also added the drug
expenses reported on line 5 column 10
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‘‘Non-ESRD related drugs’’. The NonESRD related drugs would include
drugs and biologicals administered
during dialysis for non-ESRD related
conditions as well as oral-only drugs.
Since these are costs to the facility for
providing ESRD treatment to the
patient, we propose to continue to
include them in the Pharmaceutical cost
weight. Section 1842(o)(1)(A)(iv) of the
Act requires that influenza,
pneumococcal, and hepatitis B vaccines
described in paragraph (A) or (B) of
section 1861(s)(10) of the Act be paid
based on 95 percent of average
wholesale price (AWP) of the drug.
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MCR.
SAS.
20% of SAS Contract Labor weight.
Since these vaccines are not
reimbursable under the ESRD PPS, we
exclude them from the proposed 2016based ESRDB market basket.
Finally, to avoid double-counting, the
weight for the Pharmaceuticals category
was reduced to exclude the estimated
share of Non-Direct Patient Care Wages
and Salaries associated with the
applicable pharmaceutical cost centers
referenced above. This resulted in a
proposed ESRDB market basket weight
for Pharmaceuticals of 12.4 percent.
ESA expenditures accounted for 10.0
percentage points of the proposed
Pharmaceuticals cost weight, and All
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Other Drugs accounted for the
remaining 2.4 percentage points.
The Pharmaceutical cost weight
decreased 4.1 percentage point from the
2012-based ESRD market basket to the
proposed 2016-based ESRD market
basket (16.5 percent to 12.4 percent).
Most providers experienced a decrease
in their Pharmaceutical cost weight
since 2012. One provider in particular,
a major dialysis provider, experienced a
significant pharmaceutical cost weight
decline in 2016. This provider’s decline
has an effect on the overall
Pharmaceutical cost weight in the
proposed 2016-based ESRDB market
basket. We wish to note that the
provider’s decline in the pharmaceutical
cost weight was found across the board
in all states where the provider has
facilities. Given this, we are proposing
to include this provider’s decline in our
market basket results treating it as a
‘real’ change in relative pharmaceutical
costs. We are not proposing to use an
alternative methodology, such as
averaging cost weights from multiple
years, as proposed for Lab Services.
sradovich on DSK3GMQ082PROD with PROPOSALS2
Supplies
We calculated the Supplies cost
weight using the costs reported in the
Supplies cost center (Worksheet B, line
5 and the sum of lines 8 through 17,
column 7) of the MCR. To avoid doublecounting, the Supplies costs were
reduced to exclude the estimated share
of Non-Direct patient care Wages and
Salaries associated with this cost center.
The resulting proposed 2016-based
ESRDB market basket weight for
Supplies is 10.4 percent, about the same
as the weight for the 2012-based ESRDB
market basket.
Lab Services
We calculated the Lab Services cost
weight using the costs reported in the
Laboratory cost center (Worksheet B,
line 5 and the sum of line 8 through 17,
column 8) of the MCR. To avoid doublecounting, the Lab Services costs were
reduced to exclude the estimated share
of Non-Direct Patient Care Wages and
Salaries associated with this cost center.
The proposed 2016-based ESRDB
market basket weight for Lab Services is
estimated at 2.2 percent.
The 2016 Lab Services expenses
reported for a main chain provider were
significantly lower than those reported
in the 3 years prior (2013–2015) and
lower than the 2016 Lab Services weight
for all other providers. We believe the
lower costs were based on a correction
to the way that this chain is billing for
these services, an assumption that is
supported by the findings of a January
2016 Health and Human Services Office
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of the Inspector General (OIG) Report.2
Because the recent reported costs from
this chain reflect these unique
circumstances, we propose to take a 2year average of Lab Services costs for
2015 and 2016 for this chain in order to
smooth out the year-to-year volatility.
This approach results in a Lab cost
weight for this chain that is higher than
it was in 2012, which is then added to
the 2016 Lab Services costs for all other
providers, where the cost weight was
similar in 2012 and 2016. As a result,
the overall Lab Services cost weight
increased 0.7 percentage points from the
2012-based ESRDB market basket to the
proposed 2016-based ESRD market
basket.
Housekeeping and Operations
We calculated the Housekeeping and
Operations cost weight using the costs
reported on Worksheet A, lines 3 and 4,
column 8, of the MCR. To avoid doublecounting, the weight for the
Housekeeping and Operations category
was reduced to exclude the estimated
share of Non-Direct Patient Care Waged
and Salaries associated with this cost
center. These costs were divided by
total costs to derive a proposed 2016based ESRDB market basket weight for
Housekeeping and Operations of 3.9
percent.
Capital
We developed a proposed market
basket weight for the Capital category
using data from Worksheet B of the
MCRs. Capital-related costs include
depreciation and lease expenses for
buildings, fixtures and movable
equipment, property taxes, insurance
costs, the costs of capital improvements,
and maintenance expense for buildings,
fixtures, and machinery. Because
Housekeeping and Operations and
Maintenance costs are included in the
Worksheet B cost center for CapitalRelated costs (Worksheet B, column 2),
we excluded the costs for these two
categories and developed a separate
expenditure category for Housekeeping
and Operations, as detailed above.
Similar to the methodology used for
other market basket cost categories with
a salaries component, we computed a
share for non-direct patient care Wages
and Salaries and Benefits associated
with the Capital-related cost centers. We
used Worksheet B to develop two
capital-related cost categories: (1)
Buildings and Fixtures (Worksheet B,
the sum of lines 8 through 17, column
2 Review of Medicare Payments for Laboratory
Tests Billed with an AY Modifier by Total Renal
Laboratories, Inc.; https://oig.hhs.gov/oas/reports/
region1/11400505.pdf.
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2 less housekeeping & operations as
derived from expenses reported on
Worksheet A (see above)), and (2)
Machinery (Worksheet B, the sum of
lines 8 through 17, column 4). We
reasoned this delineation was
particularly important given the critical
role played by dialysis machines.
Likewise, because price changes
associated with Buildings and
Equipment could move differently than
those associated with Machinery, we
continue to believe that two capitalrelated cost categories are appropriate.
The resulting proposed 2016-based
ESRDB market basket weights for
Capital-related Buildings and Fixtures
and Capital-related Machinery are 9.2
and 3.8 percent, respectively.
Administrative and General
We computed the proportion of total
Administrative and General
expenditures using the Administrative
and General cost center data from
Worksheet B, the sum of lines 8 through
17, (column 9) of the MCRs.
Additionally, we remove contract labor
from this cost category and apportion
these costs to the Wages and Salaries
and Employee Benefits cost weights.
Similar to other expenditure category
adjustments, we then reduced the
computed weight to exclude Wages and
Salaries and Benefits associated with
the Administrative and General cost
center for Non-direct Patient Care as
estimated from the SAS data. The
resulting Administrative and General
cost weight is 14.5 percent.
We are proposing to further
disaggregate the Administrative and
General cost weight to derive detailed
cost weights for Electricity, Natural Gas,
Water and Sewerage, Telephone,
Professional Fees, and All Other Goods
and Services. These detailed cost
weights are derived by inflating the
detailed 2012 SAS data forward to 2016
by applying the annual price changes
from the respective price proxies to the
appropriate market basket cost
categories that are obtained from the
2012 SAS data. We repeat this practice
for each year to 2016. We then calculate
the cost shares that each cost category
represents of the 2012 data inflated to
2016. These resulting 2016 cost shares
were applied to the Administrative and
General cost weight derived from the
MCR (net of contract labor and
additional benefits) to obtain the
detailed cost weights for the proposed
2016-based ESRD market basket. This
method is similar to the method used
for the 2012-based ESRDB market
basket.
Table 5 lists all of the cost categories
and cost weights in the proposed 2016-
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34323
based ESRDB market basket compared
to the 2012-based ESRDB market basket.
TABLE 5—COMPARISON OF THE PROPOSED 2016-BASED AND THE 2012-BASED ESRDB MARKET BASKET COST
CATEGORIES AND WEIGHTS
Proposed
2016 cost
weights
(percent)
Proposed 2016 cost category
Total .........................................................................................................................................................................
Compensation ..........................................................................................................................................................
Wages and Salaries .........................................................................................................................................
Employee Benefits ............................................................................................................................................
Utilities .....................................................................................................................................................................
Electricity ..........................................................................................................................................................
Natural Gas ......................................................................................................................................................
Water and Sewerage ........................................................................................................................................
Medical Materials and Supplies ...............................................................................................................................
Pharmaceuticals ...............................................................................................................................................
ESAs ..........................................................................................................................................................
Other Drugs (except ESAs) ......................................................................................................................
Supplies ............................................................................................................................................................
Lab Services .....................................................................................................................................................
All Other Goods and Services .................................................................................................................................
Telephone & Internet Services .........................................................................................................................
Housekeeping and Operations .........................................................................................................................
Professional Fees .............................................................................................................................................
All Other Goods and Services ..........................................................................................................................
Capital Costs ...........................................................................................................................................................
Capital Related-Building and Fixtures ..............................................................................................................
Capital Related-Machinery ...............................................................................................................................
100.0
43.6
34.5
9.1
2.0
1.1
0.1
0.8
24.9
12.4
10.0
2.4
10.4
2.2
16.4
0.5
3.9
0.7
11.3
13.0
9.2
3.8
2012 cost
weights
(percent)
100.0
42.5
33.7
8.8
1.8
1.0
0.1
0.8
28.1
16.5
12.9
3.6
10.1
1.5
15.3
0.5
3.8
0.6
10.4
12.2
8.4
3.9
Note: The cost weights are calculated using three decimal places. For presentational purposes, we are displaying one decimal and, therefore,
the detail may not add to the total due to rounding.
sradovich on DSK3GMQ082PROD with PROPOSALS2
b. Proposed Price Proxies for the 2016Based ESRDB Market Basket
After developing the cost weights for
the proposed 2016-based ESRDB market
basket, we are proposing to select the
most appropriate wage and price
proxies currently available to represent
the rate of price change for each
expenditure category. We based the
proposed price proxies on Bureau of
Labor Statistics (BLS) data and group
them into one of the following BLS
categories:
(1) Employment Cost Indexes.
Employment Cost Indexes (ECIs)
measure the rate of change in
employment wage rates and employer
costs for employee benefits per hour
worked. These indexes are fixed-weight
indexes and strictly measure the change
in wage rates and employee benefits per
hour. ECIs are superior to Average
Hourly Earnings (AHE) as price proxies
for input price indexes because they are
not affected by shifts in occupation or
industry mix, and because they measure
pure price change and are available by
both occupational group and by
industry. The industry ECIs are based
on the NAICS and the occupational ECIs
are based on the Standard Occupational
Classification System (SOC).
(2) Producer Price Indexes. Producer
Price Indexes (PPIs) measure price
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changes for goods sold in other than
retail markets. PPIs are used when the
purchases of goods or services are made
at the wholesale level.
(3) Consumer Price Indexes.
Consumer Price Indexes (CPIs) measure
change in the prices of final goods and
services bought by consumers. CPIs are
only used when the purchases are
similar to those of retail consumers
rather than purchases at the wholesale
level, or if no appropriate PPIs were
available.
We evaluated the price proxies using
the criteria of reliability, timeliness,
availability, and relevance:
Reliability. Reliability indicates that
the index is based on valid statistical
methods and has low sampling
variability. Widely accepted statistical
methods ensure that the data were
collected and aggregated in a way that
can be replicated. Low sampling
variability is desirable because it
indicates that the sample reflects the
typical members of the population.
(Sampling variability is variation that
occurs by chance because only a sample
was surveyed rather than the entire
population.)
Timeliness. Timeliness implies that
the proxy is published regularly,
preferably at least once a quarter. The
market baskets are updated quarterly,
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and therefore, it is important for the
underlying price proxies to be up-todate, reflecting the most recent data
available. We believe that using proxies
that are published regularly (at least
quarterly, whenever possible) helps to
ensure that we are using the most recent
data available to update the market
basket. We strive to use publications
that are disseminated frequently,
because we believe that this is an
optimal way to stay abreast of the most
current data available.
Availability. Availability means that
the proxy is publicly available. We
prefer that our proxies are publicly
available because this helps to ensure
that our market basket updates are as
transparent to the public as possible. In
addition, this enables the public to be
able to obtain the price proxy data on
a regular basis.
Relevance. Relevance means that the
proxy is applicable and representative
of the cost category weight to which it
is applied. The CPIs, PPIs, and ECIs that
we have selected to propose in this
provision meet these criteria. Therefore,
we believe that they continue to be the
best measure of price changes for the
cost categories to which they would be
applied.
Table 7 lists all price proxies for the
proposed 2016-based ESRDB market
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basket. We note that we are proposing
to use the same proxies as those used in
the 2012-based ESRDB market basket.
Below is a detailed explanation of the
price proxies used for each cost category
weight.
Wages and Salaries
We are proposing to continue using a
blend of ECIs to proxy the Wages and
Salaries cost weight in the proposed
2016-based ESRDB market basket, and
to continue using four occupational
categories and associated ECIs based on
full-time equivalents (FTE) data from
ESRD MCRs and ECIs from BLS. We
calculated occupation weights for the
blended Wages and Salaries price proxy
using 2016 FTE data from the MCR data
and associated 2016 Average Mean
Wage data from the Bureau of Labor
Statistics’ Occupational Employment
Statistics. This is similar to the
methodology used in the 2012-based
ESRDB market basket to derive these
occupational wages and salaries
categories.
Health Related
We are proposing to continue using
the ECI for Wages and Salaries for All
Civilian Workers in Hospitals (BLS
series code #CIU1026220000000I) as the
price proxy for health-related
occupations. Of the two health-related
ECIs that we considered (‘‘Hospitals’’
and ‘‘Health Care and Social
Assistance’’), the wage distribution
within the Hospital NAICS sector (622)
is more closely related to the wage
distribution of ESRD facilities than it is
to the wage distribution of the Health
Care and Social Assistance NAICS
sector (62).
The Wages and Salaries—Health
Related subcategory weight within the
Wages and Salaries cost category
accounts for 79.9 percent of total Wages
and Salaries in 2016. The ESRD
Medicare Cost Report FTE categories
used to define the Wages and Salaries—
Health Related subcategory include
‘‘Physicians,’’ ‘‘Registered Nurses,’’
‘‘Licensed Practical Nurses,’’ ‘‘Nurses’
Aides,’’ ‘‘Technicians,’’ and
‘‘Dieticians’’.
Management
We are proposing to continue using
the ECI for Wages and Salaries for
Private Industry Workers in
Management, Business, and Financial
(BLS series code #CIU2020000110000I).
We believe this ECI is the most
appropriate price proxy to measure the
wages and salaries price growth of
management personnel at ESRD
facilities.
The Wages and Salaries—
Management subcategory weight within
the Wages and Salaries cost category is
6.7 percent in 2016. The ESRD Medicare
Cost Report FTE category used to define
the Wages and Salaries—Management
subcategory is ‘‘Management.’’
Administrative
We are proposing to continue using
the ECI for Wages and Salaries for
Private Industry Workers in Office and
Administrative Support (BLS series
code #CIU2020000220000I). We believe
this ECI is the most appropriate price
proxy to measure the wages and salaries
price growth of administrative support
personnel at ESRD facilities.
The Wages and Salaries—
Administrative subcategory weight
within the Wages and Salaries cost
category is 7.7 percent in 2016. The
ESRD MCR FTE category used to define
the Wages and Salaries—Administrative
subcategory is ‘‘Administrative.’’
Services
We propose using the ECI for Wages
and Salaries for Private Industry
Workers in Service Occupations (BLS
series code #CIU2020000300000I). We
believe this ECI is the most appropriate
price proxy to measure the wages and
salaries price growth of all other nonhealth related, non-management, and
non-administrative service support
personnel at ESRD facilities.
The Services subcategory weight
within the Wages and Salaries cost
category is 5.7 percent in 2016. The
ESRD Medicare Cost Report FTE
categories used to define the Wages and
Salaries—Services subcategory are
‘‘Social Workers’’ and ‘‘Other.’’
Table 6 lists the four ECI series and
the corresponding weights used to
construct the proposed ECI blend for
Wages and Salaries compared to the
2012-based weights for the
subcategories. We believe this ECI blend
is the most appropriate price proxy to
measure the growth of wages and
salaries faced by ESRD facilities.
TABLE 6—PROPOSED ECI BLEND FOR WAGES AND SALARIES IN THE PROPOSED 2016-BASED AND 2012-BASED ESRDB
MARKET BASKETS
Proposed
2016 weight
(percent)
Cost category
ECI series
Health Related .................................
Management ....................................
ECI for Wages and Salaries for All Civilian Workers in Hospitals ...........
ECI for Wages and Salaries for Private Industry Workers in Management, Business, and Financial.
ECI for Wages and Salaries for Private Industry Workers in Office and
Administrative Support.
ECI for Wages and Salaries for Private Industry Workers in Service Occupations.
Administrative ..................................
Services ...........................................
sradovich on DSK3GMQ082PROD with PROPOSALS2
Employee Benefits
We are proposing to continue using
an ECI blend for Employee Benefits in
the proposed 2016-based ESRDB market
basket where the components match
those of the proposed Wage and Salaries
ECI blend. The proposed occupation
weights for the blended Benefits price
proxy are the same as those proposed
for the wages and salaries price proxy
blend as shown in Table 5. BLS does not
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publish ECI for Benefits price proxies
for each Wage and Salary ECI; however,
where these series are not published,
they can be derived by using the ECI for
Total Compensation and the relative
importance of wages and salaries with
total compensation as published by BLS
for each detailed ECI occupational
index.
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2012 Weight
(percent)
79.9
6.7
79.0
8.0
7.7
7.0
5.7
6.0
Health Related
We are proposing to continue using
the ECI for Benefits for All Civilian
Workers in Hospitals to measure price
growth of this subcategory. This is
calculated using the ECI for Total
Compensation for All Civilian Workers
in Hospitals (BLS series code
#CIU1016220000000I) and the relative
importance of Wages and Salaries
within Total Compensation as
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published by BLS. We believe this
constructed ECI series is technically
appropriate for the reason stated above
in the Wages and Salaries price proxy
section.
Management
We are proposing to continue using
the ECI for Benefits for Private Industry
Workers in Management, Business, and
Financial to measure price growth of
this subcategory. This ECI is calculated
using the ECI for Total Compensation
for Private Industry Workers in
Management, Business, and Financial
(BLS series code #CIU2010000110000I)
and the relative importance of wages
and salaries within total compensation.
We believe this constructed ECI series is
technically appropriate for the reason
stated above in the Wages and Salaries
price proxy section.
Administrative
We are proposing to continue using
the ECI for Benefits for Private Industry
Workers in Office and Administrative
Support to measure price growth of this
subcategory. This ECI is calculated
using the ECI for Total Compensation
for Private Industry Workers in Office
and Administrative Support (BLS series
code #CIU2010000220000I) and the
relative importance of Wages and
Salaries within Total Compensation. We
believe this constructed ECI series is
technically appropriate for the reason
stated above in the wages and salaries
price proxy section.
Services
We are proposing to continue using
the ECI for Total Benefits for Private
Industry Workers in Service
Occupations (BLS series code
#CIU2030000300000I) to measure price
growth of this subcategory. We believe
this ECI series is technically appropriate
for the reason stated above in the Wages
and Salaries price proxy section
We feel the proposed benefits ECI
blend continues to be the most
appropriate price proxy to measure the
growth of benefits prices faced by ESRD
facilities. Table 7 lists the four ECI
series and the corresponding weights
used to construct the proposed benefits
ECI blend.
TABLE 7—PROPOSED ECI BLEND FOR BENEFITS IN THE PROPOSED 2016-BASED AND 2012-BASED ESRDB MARKET
BASKETS
Proposed
2016 weight
(percent)
Cost category
ECI series
Health Related .................................
Management ....................................
ECI for Benefits for All Civilian Workers in Hospitals ...............................
ECI for Benefits for Private Industry Workers in Management, Business,
and Financial.
ECI for Benefits for Private Industry Workers in Office and Administrative Support.
ECI for Benefits for Private Industry Workers in Service Occupations ....
Administrative ..................................
Services ...........................................
Electricity
We propose to continue using the PPI
Commodity for Commercial Electric
Power (BLS series code #WPU0542) to
measure the price growth of this cost
category.
Natural Gas
We propose to continue using the PPI
Commodity for Commercial Natural Gas
(BLS series code #WPU0552) to measure
the price growth of this cost category.
sradovich on DSK3GMQ082PROD with PROPOSALS2
Water and Sewerage
We propose to continue using the CPI
U.S. city average for Water and
Sewerage Maintenance (BLS series code
#CUUR0000SEHG01) to measure the
price growth of this cost category.
Pharmaceuticals
We propose to continue using the PPI
Commodity for Biological Products,
Excluding Diagnostic, for Human Use
(which we will abbreviate as PPI–
BPHU) (BLS series code #WPU063719)
as the price proxy for the ESA drugs in
the market basket. We propose to
continue using the PPI Commodity for
Vitamin, Nutrient, and Hematinic
Preparations (which we will abbreviate
as PPI–VNHP) (BLS series code
#WPU063807) for all other drugs
included in the bundle other than ESAs.
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The PPI–BPHU measures the price
change of prescription biologics, and
ESAs would be captured within this
index, if they are included in the PPI
sample. Since the PPI relies on
confidentiality with respect to the
companies and drugs/biologicals
included in the sample, we do not know
if these drugs are indeed reflected in
this price index. However, we believe
the PPI–BPHU is an appropriate proxy
to use because although ESAs may be a
small part of the fuller category of
biological products, we can examine
whether the price increases for the ESA
drugs are similar to the drugs included
in the PPI–BPHU. We did this by
comparing the historical price changes
in the PPI–BPHU and the ASP for ESAs
and found the cumulative growth to be
consistent over the past 4 years. We will
continue to monitor the trends in the
prices for ESA drugs as measured by
other price data sources to ensure that
the PPI–BPHU is still an appropriate
price proxy.
Additionally, since the non-ESA
drugs used in the treatment of ESRD are
mainly vitamins and nutrients, we
believe that the PPI–VNHP continues to
be the best available proxy for these
types of drugs. While this index does
include over-the-counter drugs as well
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2012 Weight
(percent)
79.9
6.7
79.0
8.0
7.7
7.0
5.7
6.0
as prescription drugs, a comparison of
trends in the prices for non-ESA drugs
shows similar growth to the proposed
PPI–VNHP.
Supplies
We propose to continue using the PPI
Commodity for Surgical and Medical
Instruments (BLS series code
#WPU1562) to measure the price growth
of this cost category.
Lab Services
We propose to continue using the PPI
Industry for Medical Laboratories (BLS
series code #PCU621511621511) to
measure the price growth of this cost
category.
Telephone Service
We propose to continue using the CPI
U.S. city average for Telephone Services
(BLS series code #CUUR0000SEED) to
measure the price growth of this cost
category.
Housekeeping and Operations
We propose to continue using the PPI
Commodity for Cleaning and Building
Maintenance Services (BLS series code
#WPU49) to measure the price growth of
this cost category.
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Professional Fees
We propose to continue using the ECI
for Total Compensation for Private
Industry Workers in Professional and
Related (BLS series code #
CIU2010000120000I) to measure the
price growth of this cost category.
All Other Goods and Services
We propose to continue using the PPI
Commodity for Final demand—Finished
Goods Less Foods and Energy (BLS
series code #WPUFD4131) to measure
the price growth of this cost category.
Capital-Related Building and Equipment
We propose to continue using the PPI
Industry for Lessors of Nonresidential
Buildings (BLS series code
#PCU531120531120) to measure the
price growth of this cost category.
Capital-Related Machinery
We propose to continue using the PPI
Commodity for Electrical Machinery
and Equipment (BLS series code
#WPU117) to measure the price growth
of this cost category.
Table 8 shows all the proposed price
proxies and cost weights for the
proposed 2016-based ESRDB Market
Basket.
TABLE 8—PROPOSED PRICE PROXIES AND ASSOCIATED COST WEIGHTS FOR THE 2016-BASED ESRDB MARKET BASKET
Proposed
2016 cost
weight
Cost category
Price proxy
Total ESRDB market basket .....................
Compensation ...........................................
Wages and Salaries ..........................
Health-related .............................
Management ...............................
.......................................................................................................................................
.......................................................................................................................................
.......................................................................................................................................
ECI for Wages and Salaries for All Civilian Workers in Hospitals ..............................
ECI for Wages and Salaries for Private Industry Workers in Management, Business, and Financial.
ECI for Wages and Salaries for Private Industry Workers in Office and Administrative Support.
ECI for Wages and Salaries for Private Industry Workers in Service Occupations ...
.......................................................................................................................................
ECI for Total Benefits for All Civilian workers in Hospitals .........................................
ECI for Total Benefits for Private Industry workers in Management, Business, and
Financial.
ECI for Total Benefits for Private Industry workers in Office and Administrative Support.
ECI for Total Benefits for Private Industry workers in Service Occupations ...............
.......................................................................................................................................
PPI Commodity for Commercial Electric Power ..........................................................
PPI Commodity for Commercial Natural Gas ..............................................................
CPI–U for Water and Sewerage Maintenance ............................................................
.......................................................................................................................................
.......................................................................................................................................
PPI Commodity for Biological Products, Excluding Diagnostics, for Human Use ......
PPI Commodity for Vitamin, Nutrient, and Hematinic Preparations ............................
PPI Commodity for Surgical and Medical Instruments ................................................
PPI Industry for Medical Laboratories .........................................................................
.......................................................................................................................................
CPI–U for Telephone Services ....................................................................................
PPI Commodity for Cleaning and Building Maintenance Services .............................
ECI for Total Compensation for Private Industry Workers in Professional and Related.
PPI for Final demand—Finished Goods less Foods and Energy ...............................
.......................................................................................................................................
PPI Industry for Lessors of Nonresidential Buildings ..................................................
100.0
43.6
34.5
27.6
2.3
PPI Commodity for Electrical Machinery and Equipment ............................................
3.8
Administrative .............................
Services ......................................
Employee Benefits .............................
Health-related .............................
Management ...............................
Administrative .............................
Services ......................................
Utilities ......................................................
Electricity ...........................................
Natural Gas .......................................
Water and Sewerage .........................
Medical Materials and Supplies ................
Pharmaceuticals ................................
ESAs ...........................................
Other Drugs ................................
Supplies .............................................
Lab Services ......................................
All Other Goods and Services ..................
Telephone Service .............................
Housekeeping and Operations ..........
Professional Fees ..............................
All Other Goods and Services ...........
Capital Costs ............................................
Capital Related Building and Equipment.
Capital Related Machinery ................
2.7
2.0
9.1
7.3
0.6
0.7
0.5
2.0
1.1
0.1
0.8
24.9
12.4
10.0
2.4
10.4
2.2
16.4
0.5
3.9
0.7
11.3
13.0
9.2
Note: The cost weights are calculated using three decimal places. For presentational purposes, we are displaying one decimal and therefore,
the detail may not add to the total due to rounding.
sradovich on DSK3GMQ082PROD with PROPOSALS2
ii. Proposed CY 2019 ESRD Market
Basket Update, Adjusted for Multifactor
Productivity
Under section 1881(b)(14)(F) of the
Act, beginning in CY 2012, ESRD PPS
payment amounts shall be annually
increased by an ESRD market basket
percentage increase factor reduced by
the productivity adjustment. We
propose to use the 2016-based ESRDB
market basket as described in this
proposed rule to compute the CY 2019
ESRDB market basket increase factor
and labor-related share. Consistent with
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historical practice, we estimate the
ESRDB market basket update based on
IHS Global Inc.’s (IGI) forecast using the
most recently available data. IGI is a
nationally recognized economic and
financial forecasting firm that contracts
with CMS to forecast the components of
the market baskets.
fourth quarter of 2017), and consistent
with our historical practice of
estimating market basket increases
based on the best available data, the
proposed CY 2019 ESRDB market basket
increase factor is 2.2 percent.
a. Market Basket Update
Under section 1881(b)(14)(F)(i) of the
Act, as amended by section 3401(h) of
the Affordable Care Act, for CY 2012
and each subsequent year, the ESRD
market basket percentage increase factor
shall be reduced by the productivity
Using this methodology and the IGI
forecast for the first quarter of 2018 of
the proposed 2016-based ESRDB market
basket (with historical data through the
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b. Multifactor Productivity (MFP)
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adjustment described in section
1886(b)(3)(B)(xi)(II) of the Act. The
multifactor productivity (MFP) is
derived by subtracting the contribution
of labor and capital input growth from
output growth. The detailed
methodology for deriving the MFP
projection was finalized in the CY 2012
ESRD PPS final rule (76 FR 70232
through 70235). The most up-to-date
MFP projection methodology is
available on the CMS website at https://
www.cms.gov/Research-Statistics-Dataand-Systems/Statistics-Trends-andReports/MedicareProgramRatesStats/
MarketBasketResearch.html. We are not
proposing any changes to the
methodology for the projection of the
MFP adjustment.
Using IGI’s first quarter 2018 forecast,
the proposed MFP adjustment for CY
2019 (the 10-year moving average of
MFP for the period ending CY 2019) is
projected to be 0.7 percent.
c. Market Basket Update Adjusted for
Multifactor Productivity (MFP)
As a result of these provisions, the
proposed CY 2019 ESRD market basket
increase is 1.5 percent. This market
basket increase is calculated by starting
with the proposed 2016-based ESRDB
market basket percentage increase factor
of 2.2 percent for CY 2019, and reducing
it by the MFP adjustment (the 10-year
moving average of MFP for the period
ending CY 2019) of 0.7 percentage
point. We are also proposing that if
more recent data are subsequently
available (for example, a more recent
estimate of the market basket increase or
MFP adjustment), we would use such
data to determine the market basket
increase and MFP adjustment in the CY
2019 ESRD PPS final rule.
The CY 2019 ESRDB increase factor
would be the same if we used the 2012based ESRDB market basket. That is, the
CY 2019 ESRDB market basket increase
factor is 2.2 percent using the 2012based ESRDB market basket. Table 9
shows the increase factors under the
proposed 2016-based ESRDB and 2012based ESRDB market basket.
TABLE 9—HISTORICAL AND PROJECTED INCREASE FACTORS UNDER THE PROPOSED 2016-BASED AND 2012-BASED
ESRDB MARKET BASKET
Proposed
2016-Based
ESRDB
market basket
Calendar year
(CY)
Historical Data:
CY 2015 ............................................................................................................................................................
CY 2016 ............................................................................................................................................................
CY 2017 ............................................................................................................................................................
Forecast:
CY 2018 ............................................................................................................................................................
CY 2019 ............................................................................................................................................................
2012-Based
ESRDB
market basket
2.0
1.9
1.4
2.2
2.0
1.3
1.9
2.2
1.9
2.2
Source: IHS Global Inc. 1st quarter 2018 forecast with historical data through 4th quarter 2017.
iii. Proposed Labor-Related Share for
ESRD PPS
We define the labor-related share
(LRS) as those expenses that are laborintensive and vary with, or are
influenced by, the local labor market.
The labor-related share of a market
basket is determined by identifying the
national average proportion of operating
costs that are related to, influenced by,
or vary with the local labor market. The
labor-related share is typically the sum
of Wages and Salaries, Benefits,
Professional Fees, Labor-related
Services, and a portion of Capital from
a given market basket.
We propose to use the proposed 2016based ESRDB market basket cost
weights to determine the proposed
labor-related share for ESRD facilities.
Therefore, effective for CY 2019, we are
proposing a labor-related share of 52.3
percent, slightly higher than the current
50.673 percent that was based on the
2012-based ESRD market basket, as
shown in Table 10 below. We propose
to move the labor-related share to a one
decimal level of precision rather than
the three decimal level of precision used
previously. CMS is migrating all
payment system labor-related shares to
a one decimal level of precision. These
figures represent the sum of Wages and
Salaries, Benefits, Housekeeping and
Operations, 87 percent of the weight for
Professional Fees (details discussed
below), and 46 percent of the weight for
Capital-related Building and Equipment
expenses (details discussed below). We
used the same methodology for the
2012-based ESRD market basket.
TABLE 10—PROPOSED CY 2019 LABOR-RELATED SHARE AND CY 2018 LABOR-RELATED SHARE
Proposed CY
2019 ESRD
labor-related
share
sradovich on DSK3GMQ082PROD with PROPOSALS2
Cost category
CY 2018
ESRD
labor-related
share
Wages and salaries .................................................................................................................................................
Employee Benefits ...................................................................................................................................................
Housekeeping and Operations ................................................................................................................................
Professional Fees (Labor-Related) ..........................................................................................................................
Capital Labor-Related ..............................................................................................................................................
34.5
9.1
3.9
0.6
4.2
33.650
8.847
3.785
0.537
3.854
Total Labor-Related Share ...............................................................................................................................
52.3
50.673
The labor-related share for
Professional Fees reflects the proportion
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of ESRD facilities’ professional fees
expenses that we believe vary with local
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labor market (87 percent). We
conducted a survey of ESRD facilities in
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2008 to better understand the
proportion of contracted professional
services that ESRD facilities typically
purchase outside of their local labor
market. These purchased professional
services include functions such as
accounting and auditing, management
consulting, engineering, and legal
services. Based on the survey results, we
determined that, on average, 87 percent
of professional services are purchased
from local firms and 13 percent are
purchased from businesses located
outside of the ESRD’s local labor
market. Thus, we are proposing to
include 87 percent of the cost weight for
Professional Fees in the labor-related
share (87 percent is the same percentage
as used in prior years).
The labor-related share for capitalrelated expenses reflects the proportion
of ESRD facilities’ capital-related
expenses that we believe varies with
local labor market wages (46 percent of
ESRD facilities’ Capital-related Building
and Equipment expenses). Capitalrelated expenses are affected in some
proportion by variations in local labor
market costs (such as construction
worker wages) that are reflected in the
price of the capital asset. However,
many other inputs that determine
capital costs are not related to local
labor market costs, such as interest
rates. The 46-percent figure is based on
regressions run for the inpatient
hospital capital PPS in 1991 (56 FR
43375). We use a similar methodology
to calculate capital-related expenses for
the labor-related shares for
rehabilitation facilities (70 FR 30233),
psychiatric facilities, long-term care
facilities, and skilled nursing facilities
(66 FR 39585).
sradovich on DSK3GMQ082PROD with PROPOSALS2
b. The Proposed CY 2019 ESRD PPS
Wage Indices
i. Annual Update of the Wage Index
Section 1881(b)(14)(D)(iv)(II) of the
Act provides that the ESRD PPS may
include a geographic wage index
payment adjustment, such as the index
referred to in section 1881(b)(12)(D) of
the Act, as the Secretary determines to
be appropriate. In the CY 2011 ESRD
PPS final rule (75 FR 49200), we
finalized an adjustment for wages at
§ 413.231. Specifically, CMS adjusts the
labor-related portion of the base rate to
account for geographic differences in
the area wage levels using an
appropriate wage index which reflects
the relative level of hospital wages and
wage-related costs in the geographic
area in which the ESRD facility is
located. We use the Office of
Management and Budget’s (OMB’s)
CBSA-based geographic area
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designations to define urban and rural
areas and their corresponding wage
index values (75 FR 49117). OMB
publishes bulletins regarding CBSA
changes, including changes to CBSA
numbers and titles. The bulletins are
available online at https://
www.whitehouse.gov/omb/bulletins/.
For CY 2019, we would update the
wage indices to account for updated
wage levels in areas in which ESRD
facilities are located using our existing
methodology. We use the most recent
pre-floor, pre-reclassified hospital wage
data collected annually under the
inpatient PPS. The ESRD PPS wage
index values are calculated without
regard to geographic reclassifications
authorized under sections 1886(d)(8)
and (d)(10) of the Act and utilize prefloor hospital data that are unadjusted
for occupational mix. The proposed CY
2019 wage index values for urban areas
are listed in Addendum A (Wage
Indices for Urban Areas) and the
proposed CY 2019 wage index values
for rural areas are listed in Addendum
B (Wage Indices for Rural Areas).
Addenda A and B are located on the
CMS Web site at https://www.cms.gov/
Medicare/Medicare-Fee-for-ServicePayment/ESRDpayment/End-StageRenal-Disease-ESRD-PaymentRegulations-and-Notices.html.
We have also adopted methodologies
for calculating wage index values for
ESRD facilities that are located in urban
and rural areas where there is no
hospital data. For a full discussion, see
CY 2011 and CY 2012 ESRD PPS final
rules at 75 FR 49116 through 49117 and
76 FR 70239 through 70241,
respectively. For urban areas with no
hospital data, we compute the average
wage index value of all urban areas
within the state and use that value as
the wage index. For rural areas with no
hospital data, we compute the wage
index using the average wage index
values from all contiguous CBSAs to
represent a reasonable proxy for that
rural area. We apply the statewide urban
average based on the average of all
urban areas within the state to
Hinesville-Fort Stewart, Georgia (78 FR
72173), and we apply the wage index for
Guam to American Samoa and the
Northern Mariana Islands (78 FR
72172). A wage index floor value is
applied under the ESRD PPS as a
substitute wage index for areas with
very low wage index values. Currently,
all areas with wage index values that
fall below the floor are located in Puerto
Rico. However, the wage index floor
value is applicable for any area that may
fall below the floor.
In the CY 2011 ESRD PPS final rule
(75 FR 49116 through 49117), we
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finalized a decision to reduce the wage
index floor by 0.05 for each of the
remaining years of the ESRD PPS
transition, that is, until CY 2014. We
applied a 0.05 reduction to the wage
index floor for CYs 2012 and 2013,
resulting in a wage index floor of 0.5500
and 0.5000, respectively (CY 2012 ESRD
PPS final rule, 76 FR 70241). We
continued to apply and reduce the wage
index floor by 0.05 in CY 2013 (77 FR
67459 through 67461). Although we
only intended to provide a wage index
floor during the 4-year transition in the
CY 2014 ESRD PPS final rule (78 FR
72173), we decided to continue to apply
the wage index floor and reduce it by
0.05 per year for CY 2014 and for CY
2015.
In the CY 2016 ESRD PPS final rule
(80 FR 69006 through 69008), however,
we decided to maintain a wage index
floor of 0.4000, rather than further
reduce the floor by 0.05. We needed
more time to study the wage indices that
are reported for Puerto Rico to assess the
appropriateness of discontinuing the
wage index floor (80 FR 69006).
In the CY 2017 proposed rule (81 FR
42817), we presented the findings from
analyses of ESRD facility cost report and
claims data submitted by facilities
located in Puerto Rico and mainland
facilities. We solicited public comments
on the wage index for CBSAs in Puerto
Rico as part of our continuing effort to
determine an appropriate policy. We
did not propose to change the wage
index floor for CBSAs in Puerto Rico,
but we requested public comments in
which stakeholders could provide
useful input for consideration in future
decision-making. Specifically, we
solicited comment on the suggestions
that were submitted in the CY 2016
ESRD PPS final rule (80 FR 69007).
After considering the public comments
we received regarding the wage index
floor, we finalized a wage index floor of
0.4000 in the CY 2017 ESRD PPS final
rule (81 FR 77858).
In the CY 2018 final rule (82 FR
50747), we finalized a policy to
permanently maintain the wage index
floor of 0.4000, because we believed it
was appropriate and provided
additional payment support to the
lowest wage areas. It also obviated the
need for an additional budget-neutrality
adjustment that would reduce the ESRD
PPS base rate, beyond the adjustment
needed to reflect updated hospital wage
data, in order to maintain budget
neutrality for wage index updates.
ii. Wage Index Floor for CY 2019 and
Subsequent Years
For CY 2019 and subsequent years,
we are proposing to increase the wage
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index floor to 0.5. This wage floor
increase is responsive to stakeholder
comments, safeguards access to care in
areas at the lowest end of the current
wage index distribution, and is
supported by data, as discussed below,
which supports a higher wage index
floor. Stakeholders, particularly those
located in Puerto Rico, have expressed
the adverse impact the low wage index
floor value has on a facility, such as
closure and the resulting impact on
access to care. Also, natural disasters
(for example, hurricanes, floods)
common to this geographic area can
cause significant infrastructure issues,
create limited resources, and create
conditions that may accelerate kidney
failure in patients predisposed to
chronic kidney disease, all of which
have a significant impact on renal
dialysis services. These negative effects
of natural disasters on the local
economy impact wages and salaries. For
example, there is the potential of the
outmigration of qualified staff that
would cause a facility the need to
change their hiring practices or increase
the wages that they would otherwise
pay had their not been a natural
disaster.
In response to the CY 2018 ESRD
proposed rule, commenters described
the economic and healthcare crisis in
Puerto Rico and recommended that
CMS use the U.S. Virgin Islands wage
index for payment rate calculations in
Puerto Rico as a proxy for CY 2018.
Commenters indicated that the
primary issue is that Puerto Rico
hospitals report comparatively lower
wages that are not adjusted for
occupational mix and, as indicated in
the CY 2017 ESRD PPS proposed rule
(81 FR 42817), in Puerto Rico, only
registered nurses (RNs) can provide
dialysis therapy in the outpatient
setting. This staffing variable artificially
lowers the reportable index values even
though the actual costs of dialysis
service wages in Puerto Rico are much
higher than the data CMS is relying
upon. In addition, several commenters
stated that non-labor costs, including
utilities and shipping costs and the CY
2015 change in the labor-share based on
the rebased and revised ESRDB market
basket compound the issue even further.
One organization stated that it does
not believe maintaining the current
wage index for Puerto Rico for CY 2018
is enough to offset the poor economic
conditions, high operational costs and
epidemiologic burden of ESRD on the
island.
Since we did not propose to change
the wage index floor or otherwise
change the wage indexes for Puerto
Rico, we maintained the wage index
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floor of 0.4000 for CY 2018. We noted
that the current wage index floor and
labor-related share have been in effect
since CY 2015 and neither the floor nor
the labor share has been reduced since
then. More importantly, the wage index
is solely intended to reflect differences
in labor costs and not to account for
non-labor cost differences, such as
utilities or shipping costs (82 FR 50747).
With regard to staffing in Puerto Rico
facilities, we noted that ESRD facilities
there utilize RNs similarly to ESRD
facilities on the mainland, that is,
facilities utilize dialysis technicians and
aides to provide dialysis services with
oversight by an RN and that hourly
wages for RNs and dialysis support staff
were approximately half of those
salaries in mainland ESRD facilities. For
those reasons, we do not agree that the
hospital-reported data is unreliable, and
we believe using that data is more
appropriate than applying the wage
index value for the Virgin Islands where
salaries are considerably higher.
Even though we did not propose a
change in the wage index floor for CY
2018, we continued to analyze the cost
of furnishing dialysis care in Puerto
Rico, staffing in Puerto Rico ESRD
facilities and hospital wage data. While
we found the analyses to be
inconclusive for the CY2018 ESRD PPS
final rule (82 FR 50746), in light of the
recent natural disasters that profoundly
impacted delivery of ESRD care in
Puerto Rico, we revisited the analyses
and concluded that we should propose
a new wage index floor. We conducted
various analyses to test the
reasonableness of the current wage
index floor value of 0.4000. The details
of these analyses and our proposal are
provided below.
a. Analysis of Puerto Rico Cost Reports
We performed an analysis using cost
reports and wage information specific to
Puerto Rico from the BLS (https://
www.bls.gov/oes/2015/may/oes_
pr.htm). The analysis used data from
cost reports for freestanding facilities
and hospital-based facilities in Puerto
Rico for CYs 2013 through 2015 are as
follows:
• The analysis utilized data from cost
reports for freestanding facilities and for
hospital-based facilities. Note that the
available variables differ between these
two sources. For freestanding facilities,
data were obtained regarding treatment
counts, costs, salaries, benefits, and
FTEs by labor category. For hospitalbased facilities, a more limited set of
variables are available for treatment
counts and FTEs.
• We annualized cost report data for
each facility in order to create one cost
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34329
report record per facility per calendar. If
cost report forms were submitted at a
non-calendar-year cycle, multiple cost
report records were proportionated and
combined in order to create an
annualized cost report record.
• We calculated weighted means
across all facilities for each variable.
The means were weighted by treatment
counts, where facilities with more
treatment counts contributed more to
the value of the overall mean.
Using this data, we calculated
alternative wage indices for Puerto Rico
that combined labor quantities (FTEs)
from cost reports with BLS wage
information to create two regular
Laspeyres price indexes. The Laspeyres
index can be thought of as a price index
in which there are two prices for goods
(prices for labor FTEs in Puerto Rico
and the mainland U.S.), where the
distribution of goods (labor share of
FTEs) is held constant (across Puerto
Rico and the U.S.). The first index used
quantity weights from the overall U.S.
use of labor inputs. The second index
used quantity weights from the PR use
of labor inputs.
The alternative wage indices derived
from the analysis indicate that Puerto
Rico’s wage index likely lies between
0.5100 and 0.5500. Both of these values
are above the current wage index floor
and suggest that the current 0.4000 wage
index floor may be too low.
b. Statistical Analysis of the Distribution
of the Wage Index
We also performed a statistical outlier
analysis to identify the upper and lower
boundaries of the distribution of the
current wage index values and remove
outlier values at the edges of the
distribution.
In the general sense, an outlier is an
observation that lies an abnormal
distance from other values in a
population. In this case, the population
of values is the various wage indices
within the CY 2019 wage index. The
lower and upper quartiles (the 25th and
75th percentiles) are also used. The
lower quartile is Q1 and the upper
quartile is Q3. The difference (Q3¥Q1)
is called the interquartile range (IQR).
The IQR is used in calculating the inner
and outer fences of a data set. The inner
fences are needed for identifying mild
outlier values in the edges of the
distribution of a data set. Any values in
the data set that are outside of the inner
fences are identified as an outlier. The
standard multiplying value for
identifying the inner fences is 1.5.
First, we identified the Q1 and Q3
quartiles of the CY 2018 wage index,
which are as follows: Q1 = 0.8303 and
Q3 = 0.9881. Next, we identified the
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IQR: IQR = 0.9881¥0.8303 = 0.578.
Finally, we identified the inner fence
values as shown below.
Lower inner fence: Q1¥1.5 * IQR =
0.8303¥(1.5 × 0.1578) = 0.5936
Upper inner fence: Q3 + 1.5 * IQR =
.881 + (1.5 × 0.1578) = 1.2248
This statistical outlier analysis
demonstrates that any wage index
values less than 0.5936 are considered
outlier values, and 0.5936 as the lower
boundary also may suggest that the
current wage index floor could be
appropriately reset at a higher level.
Based on these analyses, we are
proposing a wage index floor of 0.5000.
We believe this increase from the
current 0.4000 wage index floor value
minimizes the impact to the base rate
while providing increased payment to
areas that need it. We considered the
various wage index floor values based
on our analyses. While the statistical
analysis supports our decision to
propose a higher wage index floor, the
cost report analysis is more definitive as
it is based on reported wages using an
alternative data source. As a result, we
considered wage index floor values
between 0.4000 and 0.5500 and are
proposing 0.5000 in an effort to strike a
balance between providing additional
payments to affected areas while
minimizing the impact on the base rate.
We believe the proposed 25 percent
increase from the current 0.4000 value
would help to address stakeholder
requests for a higher wage index floor,
minimize patient access issues, and
would have a lower impact to the base
rate than if we proposed a higher wage
index floor value.
The wage index floor directly affects
the base rate and currently, only rural
Puerto Rico and four urban CBSAs in
Puerto Rico receive the wage index floor
of 0.4000. The next lowest wage index
is in the Wheeling, West Virginia CBSA
with a value of 0.6599. Under this
proposal, all CBSAs in Puerto Rico
would receive the wage index floor of
0.5000. Though the proposed wage
index value currently affects CBSAs in
Puerto Rico, we note that, consistent
with our established policy, any CBSA
that falls below the floor would be
eligible to receive the floor. We solicit
comment on the proposal to increase the
wage index floor from 0.4000 to 0.5000
for CY 2019 and beyond.
iii. Application of the Wage Index
Under the ESRD PPS
A facility’s wage index is applied to
the labor-related share of the ESRD PPS
base rate. In section II.B.3.b of this
proposed rule, we are proposing the
labor-related share of 52.3 percent,
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which is based on the proposed 2016based ESRDB market basket. Thus, for
CY 2019, the labor-related share to
which a facility’s wage index would be
applied is 52.3 percent.
iv. New Urban Core-Based Statistical
Area (CBSA)
On August 15, 2017, OMB issued
OMB Bulletin No. 17–01, which
provided updates to and superseded
OMB Bulletin No. 15–01 that was issued
on July 15, 2015. The attachments to
OMB Bulletin No. 17–01 provide
detailed information on the update to
statistical areas since July 15, 2015, and
are based on the application of the 2010
Standards for Delineating Metropolitan
and Micropolitan Statistical Areas to the
U.S. Census Bureau population
estimates for July 1, 2014 and July 1,
2015. In OMB Bulletin No. 17–01, OMB
announced that one Micropolitan
Statistical Area now qualifies as a
Metropolitan Statistical Area. The new
urban CBSA is as follows:
• Twin Falls, Idaho (CBSA 46300).
This CBSA is comprised of the principal
city of Twin Falls, Idaho in Jerome
County, Idaho and Twin Falls County,
Idaho.
The OMB bulletin is available on the
OMB Web site at https://
www.whitehouse.gov/sites/
whitehouse.gov/files/omb/bulletins/
2017/b-17-01.pdf. We did not have
sufficient time to include this change in
the computation of the proposed CY
2019 wage index, rate setting, and
Addenda associated with this proposed
rule. This new CBSA may affect the
budget neutrality factors and wage
indexes, depending on the impact of the
overall payments of the hospital located
in this new CBSA. In this proposed rule,
we are providing an estimate of this new
area’s wage index based on the average
hourly wage, unadjusted for
occupational mix, for new CBSA 46300
and the national average hourly wages
from the wage data for the proposed CY
2019 wage index. Currently, provider
130002 is the only hospital located in
Twin Falls County, Idaho, and there are
no hospitals located in Jerome County,
Idaho. Thus, the proposed wage index
for CBSA 46300 is calculated using the
average hourly wage data for one
provider (provider 130002).
Taking the estimated unadjusted
average hourly wage of $35.833564813
of the new CBSA 46300 and dividing by
the national average hourly wage of
$42.990625267 results in the proposed
estimated wage index of 0.8335 for
CBSA 46300.
In the final rule, we would
incorporate this change into the final CY
2019 ESRD PPS wage index, rate setting
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and Addenda associated with the final
rule. Thus, for CY 2019, we would use
the OMB delineations that were adopted
beginning with CY 2015 to calculate the
area wage indexes, with updates as
reflected in OMB Bulletin Nos. 13–01,
15–01, and 17–01.
c. Proposed CY 2019 Update to the
Outlier Policy
Section 1881(b)(14)(D)(ii) of the Act
requires that the ESRD PPS include a
payment adjustment for high cost
outliers due to unusual variations in the
type or amount of medically necessary
care, including variability in the amount
of erythropoiesis stimulating agents
(ESAs) necessary for anemia
management. Some examples of the
patient conditions that may be reflective
of higher facility costs when furnishing
dialysis care would be frailty, obesity,
and comorbidities, such as cancer. The
ESRD PPS recognizes high cost patients,
and we have codified the outlier policy
and our methodology for calculating
outlier payments at § 413.237. The
policy provides that the following ESRD
outlier items and services are included
in the ESRD PPS bundle: (1) ESRDrelated drugs and biologicals that were
or would have been, prior to January 1,
2011, separately billable under
Medicare Part B; (2) ESRD-related
laboratory tests that were or would have
been, prior to January 1, 2011,
separately billable under Medicare Part
B; (3) medical/surgical supplies,
including syringes, used to administer
ESRD-related drugs that were or would
have been, prior to January 1, 2011,
separately billable under Medicare Part
B; and (4) renal dialysis services drugs
that were or would have been, prior to
January 1, 2011, covered under
Medicare Part D, including ESRDrelated oral-only drugs effective January
1, 2025.
In the CY 2011 ESRD PPS final rule
(75 FR 49142), we stated that for
purposes of determining whether an
ESRD facility would be eligible for an
outlier payment, it would be necessary
for the facility to identify the actual
ESRD outlier services furnished to the
patient by line item (that is, date of
service) on the monthly claim. Renal
dialysis drugs, laboratory tests, and
medical/surgical supplies that are
recognized as outlier services were
originally specified in Attachment 3 of
Change Request 7064, Transmittal 2033
issued August 20, 2010, rescinded and
replaced by Transmittal 2094, dated
November 17, 2010. Transmittal 2094
identified additional drugs and
laboratory tests that may also be eligible
for ESRD outlier payment. Transmittal
2094 was rescinded and replaced by
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Transmittal 2134, dated January 14,
2011, which was issued to correct the
subject on the Transmittal page and
made no other changes.
Furthermore, we use administrative
issuances and guidance to continually
update the renal dialysis service items
available for outlier payment via our
quarterly update CMS Change Requests,
when applicable. We use this separate
guidance to identify renal dialysis
service drugs that were or would have
been covered under Medicare Part D for
outlier eligibility purposes and in order
to provide unit prices for calculating
imputed outlier services. In addition,
we also identify through our monitoring
efforts items and services that are either
incorrectly being identified as eligible
outlier services or any new items and
services that may require an update to
the list of renal dialysis items and
services that qualify as outlier services,
which are made through administrative
issuances.
Under § 413.237, an ESRD facility is
eligible for an outlier payment if its
actual or imputed MAP amount per
treatment for ESRD outlier services
exceeds a threshold. The MAP amount
represents the average incurred amount
per treatment for services that were or
would have been considered separately
billable services prior to January 1,
2011. The threshold is equal to the
ESRD facility’s predicted ESRD outlier
services MAP amount per treatment
(which is case-mix adjusted and
described below) plus the fixed-dollar
loss (FDL) amount. In accordance with
§ 413.237(c) of our regulations, facilities
are paid 80 percent of the per treatment
amount by which the imputed MAP
amount for outlier services (that is, the
actual incurred amount) exceeds this
threshold. ESRD facilities are eligible to
receive outlier payments for treating
both adult and pediatric dialysis
patients.
In the CY 2011 ESRD PPS final rule
and at § 413.220(b)(4), using 2007 data,
we established the outlier percentage,
which is used to reduce the per
treatment base rate to account for the
proportion of the estimated total
payments under the ESRD PPS that are
outlier payments, at 1.0 percent of total
payments (75 FR 49142 through 49143).
We also established the FDL amounts
that are added to the predicted outlier
services MAP amounts. The outlier
services MAP amounts and FDL
amounts are different for adult and
pediatric patients due to differences in
the utilization of separately billable
services among adult and pediatric
patients (75 FR 49140). As we explained
in the CY 2011 ESRD PPS final rule (75
FR 49138 through 49139), the predicted
outlier services MAP amounts for a
patient are determined by multiplying
the adjusted average outlier services
MAP amount by the product of the
patient-specific case-mix adjusters
applicable using the outlier services
payment multipliers developed from the
regression analysis to compute the
payment adjustments.
For CY 2019, we propose that the
outlier services MAP amounts and FDL
amounts would be derived from claims
data from CY 2017. Because we believe
that any adjustments made to the MAP
amounts under the ESRD PPS should be
based upon the most recent data year
available in order to best predict any
34331
future outlier payments, we propose the
outlier thresholds for CY 2019 would be
based on utilization of renal dialysis
items and services furnished under the
ESRD PPS in CY 2017. We recognize
that the utilization of ESAs and other
outlier services have continued to
decline under the ESRD PPS, and that
we have lowered the MAP amounts and
FDL amounts every year under the
ESRD PPS.
In the CY 2018 ESRD PPS final rule
(82 FR 50748), we stated that based on
the CY 2016 claims data, outlier
payments represented approximately
0.78 percent of total payments. For this
proposed rule, as discussed below, CY
2017 claims data show outlier payments
represented approximately 0.80 percent
of total payments.
i. CY 2019 Update to the Outlier
Services Medicare Allowable Payment
(MAP) Amounts and Fixed Dollar Loss
(FDL) Amounts
For CY 2019, we propose to update
the outlier services MAP amounts and
FDL amounts to reflect the utilization of
outlier services reported on 2017 claims.
For this proposed rule, the outlier
services MAP amounts and FDL
amounts were updated using 2017
claims data. The impact of this update
is shown in Table 11, which compares
the outlier services MAP amounts and
FDL amounts used for the outlier policy
in CY 2017 with the updated proposed
estimates for this rule. The estimates for
the proposed CY 2019 outlier policy,
which are included in Column II of
Table 11, were inflation adjusted to
reflect projected 2019 prices for outlier
services.
TABLE 11—OUTLIER POLICY: IMPACT OF USING UPDATED DATA TO DEFINE THE OUTLIER POLICY
Column I
Final outlier policy for CY 2018
(based on 2016 data, price
inflated to 2018)*
Column II
Proposed outlier policy
for CY 2019
(based on 2017 data, price
inflated to 2019)
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Age <18
Average outlier services MAP amount per treatment .....................................
Adjustments .....................................................................................................
Standardization for outlier services .................................................................
MIPPA reduction ..............................................................................................
Adjusted average outlier services MAP amount .............................................
Fixed-dollar loss amount that is added to the predicted MAP to determine
the outlier threshold .....................................................................................
Patient-months qualifying for outlier payment .................................................
Age >=18
Age <18
Age >=18
37.41
........................
1.0177
0.98
$37.31
44.27
........................
0.9774
0.98
$42.41
34.33
........................
1.0588
0.98
$35.62
41.97
........................
0.9786
0.98
$40.25
$47.79
9.0%
$77.54
7.4%
$47.88
9.2%
$69.73
8.0%
* Note that Column I was obtained from Column II of Table 1 from the CY 2018 ESRD PPS final rule (82 FR 50749).
As demonstrated in Table 11, the
estimated FDL amount per treatment
that determines the CY 2019 outlier
threshold amount for adults (Column II;
$69.73) is lower than that used for the
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CY 2018 outlier policy (Column I;
$77.54). The lower threshold is
accompanied by a decrease in the
adjusted average MAP for outlier
services from $42.41 to $40.25. For
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pediatric patients, there is a slight
increase in the FDL amount from $47.79
to $47.88. There is a corresponding
decrease in the adjusted average MAP
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for outlier services among pediatric
patients, from $37.31 to $35.62.
We estimate that the percentage of
patient months qualifying for outlier
payments in CY 2019 will be 8.0 percent
for adult patients and 9.2 percent for
pediatric patients, based on the 2017
claims data. The pediatric outlier MAP
and FDL amounts continue to be lower
for pediatric patients than adults due to
the continued lower use of outlier
services (primarily reflecting lower use
of ESAs and other injectable drugs).
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ii. Outlier Percentage
In the CY 2011 ESRD PPS final rule
(75 FR 49081) and under
§ 413.220(b)(4), we reduced the per
treatment base rate by 1 percent to
account for the proportion of the
estimated total payments under the
ESRD PPS that are outlier payments as
described in § 413.237. Based on the
2017 claims, outlier payments
represented approximately 0.80 percent
of total payments, slightly below the 1
percent target due to declines in the use
of outlier services. Recalibration of the
thresholds using 2017 data is expected
to result in aggregate outlier payments
close to the 1 percent target in CY 2019.
We believe the update to the outlier
MAP and FDL amounts for CY 2019
would increase payments for ESRD
beneficiaries requiring higher resource
utilization and move us closer to
meeting our 1 percent outlier policy
because we are using more current data
for computing the MAP and FDL which
is more in line with current outlier
services utilization rates. We note that
recalibration of the FDL amounts in this
proposed rule would result in no change
in payments to ESRD facilities for
beneficiaries with renal dialysis items
and services that are not eligible for
outlier payments, but would increase
payments to ESRD facilities for
beneficiaries with renal dialysis items
and services that are eligible for outlier
payments, as well as co-insurance
obligations for beneficiaries with renal
dialysis services eligible for outlier
payments.
iii. Solicitation on the Expansion of the
Outlier Policy
Currently, former separately payable
Part B drugs, laboratory services, and
supplies are eligible for the outlier
payment. In the interest of promoting
innovation, ensuring appropriate
payment for all drugs and biologicals,
and as a complement to the TDAPA
proposals, we are soliciting comment on
whether we should expand the outlier
policy to include composite rate drugs
and supplies. With the proposed
expansion to the drug designation
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process discussed in section II.B.1.f of
this proposed rule, such expansion of
the outlier policy could promote
appropriate payment for composite rate
drugs once the TDAPA period has
ended. Additionally, with regard to
composite rate supplies, an expansion
of the outlier policy could promote use
of new innovative devices or items that
would otherwise be considered in the
bundled payment. If commenters
believe such an approach is appropriate,
we are requesting they provide input on
how we would effectuate such a shift in
policy. For example, the reporting of
these services may be challenging since
they have never been reported on ESRD
claims previously. We are particularly
interested in feedback about how such
items might work under the existing
outlier framework or whether specific
changes to the policy to accommodate
such items are needed. We will consider
all comments and address by making
proposals, if appropriate, in future
rulemaking.
d. Proposed Impacts to the CY 2019
ESRD PPS Base Rate
i. ESRD PPS Base Rate
In the CY 2011 ESRD PPS final rule
(75 FR 49071 through 49083), we
established the methodology for
calculating the ESRD PPS per-treatment
base rate, that is, ESRD PPS base rate,
and the determination of the pertreatment payment amount, which are
codified at § 413.220 and § 413.230. The
CY 2011 ESRD PPS final rule also
provides a detailed discussion of the
methodology used to calculate the ESRD
PPS base rate and the computation of
factors used to adjust the ESRD PPS
base rate for projected outlier payments
and budget neutrality in accordance
with sections 1881(b)(14)(D)(ii) and
1881(b)(14)(A)(ii) of the Act,
respectively. Specifically, the ESRD PPS
base rate was developed from CY 2007
claims (that is, the lowest per patient
utilization year as required by section
1881(b)(14)(A)(ii) of the Act), updated to
CY 2011, and represented the average
per treatment MAP for composite rate
and separately billable services. In
accordance with section 1881(b)(14)(D)
of the Act and our regulation at
§ 413.230, per-treatment payment
amount is the sum of the ESRD PPS base
rate, adjusted for the patient specific
case-mix adjustments, applicable
facility adjustments, geographic
differences in area wage levels using an
area wage index, and any applicable
outlier payment and training adjustment
add-on.
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ii. Annual Payment Rate Update for CY
2019
We are proposing an ESRD PPS base
rate for CY 2019 of $235.82. This update
reflects several factors, described in
more detail as follows:
• Market Basket Increase: Section
1881(b)(14)(F)(i)(I) of the Act provides
that, beginning in 2012, the ESRD PPS
payment amounts are required to be
annually increased by the ESRD market
basket percentage increase factor. The
latest CY 2019 projection for the
proposed ESRDB market basket is 2.2
percent. In CY 2019, this amount must
be reduced by the productivity
adjustment described in section
1886(b)(3)(B)(xi)(II) of the Act, as
required by section 1881(b)(14)(F)(i)(II)
of the Act. As discussed above, the
proposed MFP adjustment for CY 2019
is 0.7 percent, thus yielding a proposed
update to the base rate of 1.5 percent for
CY 2019. Therefore, the proposed ESRD
PPS base rate for CY 2019 before
application of the wage index budgetneutrality adjustment factor would be
$235.86 ($232.37 × 1.0150 = $235.86).
• Wage Index Budget-Neutrality
Adjustment Factor: We compute a wage
index budget-neutrality adjustment
factor that is applied to the ESRD PPS
base rate. For CY 2019, we are not
proposing any changes to the
methodology used to calculate this
factor, which is described in detail in
the CY 2014 ESRD PPS final rule (78 FR
72174). We computed the proposed CY
2019 wage index budget-neutrality
adjustment factor using treatment
counts from the 2017 claims and
facility-specific CY 2018 payment rates
to estimate the total dollar amount that
each ESRD facility would have received
in CY 2018. The total of these payments
became the target amount of
expenditures for all ESRD facilities for
CY 2019. Next, we computed the
estimated dollar amount that would
have been paid for the same ESRD
facilities using the ESRD wage index for
CY 2019. The total of these payments
becomes the new CY 2019 amount of
wage-adjusted expenditures for all
ESRD facilities. The wage index budgetneutrality factor is calculated as the
target amount divided by the new CY
2019 amount. When we multiplied the
wage index budget-neutrality factor by
the applicable CY 2019 estimated
payments, aggregate payments to ESRD
facilities would remain budget neutral
when compared to the target amount of
expenditures. That is, the wage index
budget-neutrality adjustment factor
ensures that wage index adjustments do
not increase or decrease aggregate
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Medicare payments with respect to
changes in wage index updates.
The CY 2019 proposed wage index
budget-neutrality adjustment factor is
0.999833. This application would yield
a CY 2019 ESRD PPS proposed base rate
of $235.82 ($235.75 × 0.999833 =
$235.82).
In summary, we are proposing a CY
2019 ESRD PPS base rate of $235.82.
This amount reflects a proposed market
basket increase of 1.5 percent and the
proposed CY 2019 wage index budgetneutrality adjustment factor of 0.999833.
C. Solicitation for Information on
Transplant and Modality Requirements
When an individual is faced with
failing kidneys, life-extending treatment
is available. The most common
treatment is dialysis, but the best
treatment is receiving a kidney
transplant from a living or deceased
donor. Dialysis, either HD or PD, can
sustain life by removing impurities and
extra fluids but cannot do either job as
consistently or efficiently as a
functioning kidney. Dialysis also carries
risks of its own, including anemia, bone
disease, hypotension, hypertension,
heart disease, muscle cramps, itching,
fluid overload, nerve damage,
depression, and infection. Timely
transplantation, despite requiring a
major surgery and ongoing medication,
offers recipients a longer, higher quality
of life, without the ongoing risks of
dialysis. Unfortunately, the number of
people waiting for healthy donor
kidneys far exceeds the number of
available organs. In 2015, the most
recent year for which complete data is
available, 18,805 kidney transplants
were performed in the U.S., while over
80,000 individuals remained on waiting
lists (https://www.usrds.org/2017/view/
v2_06.aspx). That same year, there were
124,114 newly reported cases of ESRD
and over 703,243 prevalent cases of
ESRD (https://www.usrds.org/2017/
view/v2_01.aspx).
In recognition of the superiority of
transplantation but the need for dialysis,
CMS has required for nearly 10 years
that Medicare-certified dialysis facilities
evaluate all patients for transplant
suitability and make appropriate
referrals to local transplant centers (73
FR 20370). Specifically, dialysis
facilities must:
• Inform every patient about all
treatment modalities, including
transplantation (§ 494.70(a)(7)).
• Evaluate every patient for
suitability for a transplantation referral
(§ 494.80(b)(10)).
• Document any basis for non-referral
in the patient’s medical record
(§ 494.80(b)(10)).
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• Develop plans for pursuing
transplantation for every patient who is
a transplant referral candidate
(§ 494.90(a)(7)(ii)).
• Track the results of each kidney
transplant center referral
(§ 494.90(c)(1)).
• Monitor the status of any facility
patients who are on the transplant
waitlist (§ 494.90(c)(2)).
• Communicate with the transplant
center regarding patient transplant
status at least annually, and when there
is a change in transplant candidate
status (§ 494.90(c)(3)).
• Educate patients, family members,
or caregivers or both about
transplantation, as established in a
patient’s plan of care (§ 494.90(d)).
Despite these requirements, the
percentage of prevalent dialysis patients
wait-listed for a kidney has recently
declined (https://www.usrds.org/2017/
view/v2_06.aspx, Figure 6.2), meaning
that fewer people have the opportunity
to be matched with a donor kidney.
Some individuals do receive kidneys
directly from suitable friends or family
members, but still must be placed on the
waiting list. Organ Procurement and
Transplantation Network (OPTN) policy
requires that all transplant recipients,
including recipients of organs from
living donors, be registered and added
to the OPTN waiting list. Until a
dialysis patient is referred to a
transplant center, he or she is not able
to be placed on the waiting list, and is
ineligible to receive a kidney. While
dialysis facilities have no control over
the total supply of kidneys made
available for transplantation,
transplantation education, referral, and
waitlist tracking are appropriate and
necessary services for them to furnish.
Unfortunately, there are performance
gaps and disparities between dialysis
facilities in providing these services.3
Therefore, as discussed in section
IV.C.1.a. of section IV ‘‘End-Stage Renal
Disease Quality Incentive Program
(ESRD QIP)’’ of this proposed rule, we
are proposing a reporting measure under
the ESRD QIP that would track the
percentage of patients at each dialysis
facility who are on the kidney or
kidney-pancreas transplant waiting list.
We are also soliciting input on other
3 R.E. Patzer, L. Plantinga, J. Krisher, S.O. Pastan,
‘‘Dialysis facility and network factors associated
with low kidney transplantation rates among U.S.
dialysis facilities,’’ American Journal of
Transplantation, 2014 Jul; 14(7):1562–72; and
Sudeshna Paul, Laura C. Plantinga, Stephen O.
Pastan, Jennifer C. Gander, Sumit Mohan, and
Rachel E. Patzer, ‘‘Standardized Transplantation
Referral Ratio to Assess Performance of Transplant
Referral among Dialysis Facilities,’’ Clinical Journal
of the American Society of Nephrology, January
2018.
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ways to increase kidney transplant
referrals and improve the tracking
process for patients on the waitlist:
• Are there ways to ensure facilities
are meeting the Conditions for Coverage
(CfC) requirements, in addition to the
survey process?
• Are the current dialysis facility CfC
requirements addressing transplantation
support services adequately, or should
additional requirements be considered?
We welcome your input.
With regard to other treatment for
failed kidneys, HD performed in an
outpatient dialysis center is most
common, followed by HD performed at
home, and PD (almost always performed
at home). Just as we are concerned about
disparities in access to transplantation,
we are also concerned about disparities
in access to dialysis modality options.
Although ESRD disproportionately
affects racial and ethnic minority
patients, minority individuals are far
less likely to be treated with home
dialysis than white patients.4 Home
dialysis modalities necessitate a higher
level of self-care than in-center care, and
are not appropriate for or desired by
every dialysis patient. We are
concerned, however that not all dialysis
patients are aware of, or given the
opportunity to learn about, home
modalities or their benefits—primarily
greater independence and flexibility.
Individuals performing home dialysis
treatments are able to schedule their
treatments at times most convenient for
them, allowing them to coordinate with
family and work schedules, and
eliminate the need for thrice weekly
transportation to and from a dialysis
facility. The transportation savings are
especially valuable to rural individuals,
who might have to travel hours each
week for regular treatments in a facility.
We take this opportunity to remind
dialysis facilities of their
responsibilities regarding modality
education and options. Some dialysis
facilities do not support home
modalities, but all facilities are required
to make appropriate referrals if a patient
elects to pursue home treatments.
Specifically, dialysis facilities must:
• Inform every patient about all
treatment modalities, including
transplantation, home dialysis
modalities (home HD, intermittent PD,
continuous ambulatory PD, continuous
4 Mehrotra, R., Soohoo, M., Rivara, M.B.,
Himmelfarb, J., Cheung, A.K., Arah, O.A.,
Nissenson, A.R., Ravel, V., Streja, E., Kuttykrishnan,
S., Katz, R., Molnar, M., Kalantar-Zadeh, K., ‘‘Racial
and Ethnic Disparities in Use of and Outcomes with
Home Dialysis in the United States,’’ Journal of the
American Society of Nephrology December 10,
2015.
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cycling PD), and in-facility HD
(§ 494.70(a)(7)).
• Ensure all patients are provided
access to resource information for
dialysis modalities not offered by the
facility, including information about
alternative scheduling options for
working patients (§ 494.70(a)(7)).
• Assess every patient’s abilities,
interests, preferences, and goals,
including the desired level of
participation in the dialysis care
process; the preferred modality
(hemodialysis or peritoneal dialysis),
and setting, (for example, home
dialysis), and the patient’s expectations
for care outcomes (§ 494.80(a)(9)).
• Identify a plan for every patient’s
home dialysis or explain why the
patient is not a candidate for home
dialysis (§ 494.90(a)(7)(i)).
• Provide education and training, as
applicable, to patients and family
members or caregivers or both, in
aspects of the dialysis experience,
dialysis management, infection
prevention and personal care, home
dialysis and self-care, quality of life,
rehabilitation, transplantation, and the
benefits and risks of various vascular
access types (§ 494.90(d)).
Persons with failed kidneys often
begin dialysis with no prior exposure to
nephrology care or knowledge of
treatment options. The practitioners and
professionals who care for them are best
suited to provide the necessary
information to support informed, shared
decision-making. Patient education is
not a one-time incident, but an ongoing
aspect of all health care services and
settings. We welcome your suggestions
on ways to ensure that dialysis facilities
are meeting these obligations, and to
ensure equal access to dialysis
modalities.
III. CY 2019 Payment for Renal Dialysis
Services Furnished to Individuals With
Acute Kidney Injury (AKI)
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A. Background
The Trade Preferences Extension Act
of 2015 (TPEA), Public Law 114–27, was
enacted on June 29, 2015, and amended
the Act to provide coverage and
payment for dialysis furnished by an
ESRD facility to an individual with
acute kidney injury (AKI). Specifically,
section 808(a) of the TPEA amended
section 1861(s)(2)(F) of the Act to
provide coverage for renal dialysis
services furnished on or after January 1,
2017, by a renal dialysis facility or a
provider of services paid under section
1881(b)(14) of the Act to an individual
with AKI. Section 808(b) of the TPEA
amended section 1834 of the Act by
adding a new paragraph (r) to provide
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payment, beginning January 1, 2017, for
renal dialysis services furnished by
renal dialysis facilities or providers of
services paid under section 1881(b)(14)
of the Act to individuals with AKI at the
ESRD PPS base rate, as adjusted by any
applicable geographic adjustment
applied under section
1881(b)(14)(D)(iv)(II) of the Act and
adjusted (on a budget neutral basis for
payments under section 1834(r) of the
Act) by any other adjustment factor
under section 1881(b)(14)(D) of the Act
that the Secretary elects.
In the CY 2017 ESRD PPS final rule,
we finalized several coverage and
payment policies in order to implement
subsection (r) of section 1834 of the Act
and the amendments to section
1881(s)(2)(F) of the Act, including the
payment rate for AKI dialysis (81 FR
77866 through 77872, and 77965). We
interpret section 1834(r)(1) of the Act as
requiring the amount of payment for
AKI dialysis services to be the base rate
for renal dialysis services determined
for a year under the ESRD base rate as
set forth in § 413.220, updated by the
ESRD bundled market basket percentage
increase factor minus a productivity
adjustment as set forth in
§ 413.196(d)(1), adjusted for wages as set
forth in § 413.231, and adjusted by any
other amounts deemed appropriate by
the Secretary under § 413.373. We
codified this policy in § 413.372 (81 FR
77965).
B. Annual Payment Rate Update for CY
2019
1. CY 2019 AKI Dialysis Payment Rate
The payment rate for AKI dialysis is
the ESRD PPS base rate determined for
a year under section 1881(b)(14) of the
Act, which is the finalized ESRD PPS
base rate, including market basket
adjustments, wage adjustments and any
other discretionary adjustments, for
such year. We note that ESRD facilities
have the ability to bill Medicare for nonrenal dialysis items and services and
receive separate payment in addition to
the payment rate for AKI dialysis.
As discussed in section II.B.3.d of this
proposed rule, the CY 2019 proposed
ESRD PPS base rate is $235.82, which
reflects the proposed ESRD bundled
market basket and multifactor
productivity adjustment. Accordingly,
we are proposing a CY 2019 per
treatment payment rate of $235.82 for
renal dialysis services furnished by
ESRD facilities to individuals with AKI.
This payment rate is further adjusted by
the wage index as discussed below.
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2. Geographic Adjustment Factor
Under section 1834(r)(1) of the Act
and § 413.372, the amount of payment
for AKI dialysis services is the base rate
for renal dialysis services determined
for a year under section 1881(b)(14) of
the Act (updated by the ESRD bundled
market basket and multifactor
productivity adjustment), as adjusted by
any applicable geographic adjustment
factor applied under section
1881(b)(14)(D)(iv)(II) of the Act.
Accordingly, we apply the same wage
index under § 413.231 that is used
under the ESRD PPS and discussed in
section II.B.3.f of this proposed rule.
The AKI dialysis payment rate is
adjusted by the wage index for a
particular ESRD facility in the same way
that the ESRD PPS base rate is adjusted
by the wage index for that facility (81
FR 77868). Specifically, we apply the
wage index to the labor-related share of
the ESRD PPS base rate that we utilize
for AKI dialysis to compute the wage
adjusted per-treatment AKI dialysis
payment rate. As stated above, we are
proposing a CY 2019 AKI dialysis
payment rate of $235.82, adjusted by the
ESRD facility’s wage index.
IV. End-Stage Renal Disease Quality
Incentive Program (ESRD QIP)
A. Background
For a detailed discussion of the ESRD
QIP’s background and history, including
a description of the Program’s
authorizing statute and the policies that
we have adopted in previous final rules,
we refer readers to the calendar year
(CY) 2018 ESRD Prospective Payment
System (PPS) final rule (82 FR 50756
through 50757).
1. Improving Patient Outcomes and
Reducing Burden Through the
Meaningful Measures Initiative
Regulatory reform and reducing
regulatory burden are high priorities for
the Centers for Medicare & Medicaid
Services (CMS). To reduce the
regulatory burden on the healthcare
industry, lower health care costs, and
enhance patient care, in October 2017,
we launched the Meaningful Measures
Initiative.5 This initiative is one
component of our agency-wide Patients
Over Paperwork Initiative,6 which is
aimed at evaluating and streamlining
5 Meaningful Measures webpage: https://
www.cms.gov/Medicare/Quality-Initiatives-PatientAssessment-Instruments/QualityInitiativesGenInfo/
MMF/General-info-Sub-Page.html.
6 Remarks by Administrator Seema Verma at the
Health Care Payment Learning and Action Network
(LAN) Fall Summit, as prepared for delivery on
October 30, 2017. Available at: https://
www.cms.gov/Newsroom/MediaReleaseDatabase/
Fact-sheets/2017-Fact-Sheet-items/2017-10-30.html.
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regulations with a goal to reduce
unnecessary cost and burden, increase
efficiencies, and improve beneficiary
experience. The Meaningful Measures
Initiative is aimed at identifying the
highest priority areas for quality
measurement and quality improvement
in order to assess the core quality of care
issues that are most vital to advancing
our work to improve patient outcomes.
The Meaningful Measures Initiative
represents a new approach to quality
measures that will foster operational
efficiencies and will reduce costs,
including collection and reporting
burden, while producing quality
measurement that is more focused on
meaningful outcomes.
The Meaningful Measures Initiative
has the following objectives:
• Address high-impact measure areas
that safeguard public health;
• Patient-centered and meaningful to
patients;
• Outcome-based where possible;
• Fulfill each program’s statutory
requirements;
• Minimize the level of burden for
health care providers (for example,
through a preference for EHR-based
34335
measures where possible, such as
electronic clinical quality measures);
• Significant opportunity for
improvement;
• Address measure needs for
population based payment through
alternative payment models; and
• Align across programs and/or with
other payers.
In order to achieve these objectives,
we have identified 19 Meaningful
Measures areas and mapped them to six
overarching quality priorities as shown
in Table 12.
TABLE 12—QUALITY PRIORITY ASSOCIATED WITH MEANINGFUL MEASURE AREAS
Quality priority
Meaningful measure area
Making Care Safer by Reducing Harm Caused in the Delivery of Care
Strengthen Person and Family Engagement as Partners in Their Care
Promote Effective Communication and Coordination of Care .................
Promote Effective Prevention and Treatment of Chronic Disease ..........
Work with Communities to Promote Best Practices of Healthy Living ....
Make Care Affordable ..............................................................................
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By including Meaningful Measures in
our programs, we believe that we can
also address the following cross-cutting
measure criteria:
• Eliminating disparities;
• Tracking measurable outcomes and
impact;
• Safeguarding public health;
• Achieving cost savings;
• Improving access for rural
communities; and
• Reducing burden.
We believe that the Meaningful
Measures Initiative will improve
outcomes for patients, their families,
and health care providers while
reducing burden and costs for clinicians
and providers as well as promoting
operational efficiencies.
2. Accounting for Social Risk Factors in
the ESRD QIP
In the fiscal year (FY) 2018 Inpatient
Prospective Payment System (IPPS)/
Long-Term Care Hospital Prospective
Payment System (LTCH PPS) final rule
(82 FR 38237 through 38239), we
discussed the importance of improving
beneficiary outcomes including
reducing health disparities. We also
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Healthcare-Associated Infections.
Preventable Healthcare Harm.
Care is Personalized and Aligned with Patient’s Goals.
End of Life Care According to Preferences.
Patient’s Experience of Care.
Patient Reported Functional Outcomes.
Medication Management.
Admissions and Readmissions to Hospitals.
Transfer of Health Information and Interoperability.
Preventive Care.
Management of Chronic Conditions.
Prevention, Treatment, and Management of Mental Health.
Prevention and Treatment of Opioid and Substance Use Disorders.
Risk Adjusted Mortality.
Equity of Care.
Community Engagement.
Appropriate Use of Healthcare.
Patient-focused Episode of Care.
Risk Adjusted Total Cost of Care.
discussed our commitment to ensuring
that medically complex patients, as well
as those with social risk factors, receive
excellent care. We discussed how
studies show that social risk factors,
such as being near or below the poverty
level as determined by the Department
of Health and Human Services,
belonging to a racial or ethnic minority
group, or living with a disability, can be
associated with poor health outcomes
and how some of this disparity is
related to the quality of health care.7
Among our core objectives, we aim to
improve health outcomes, attain health
equity for all beneficiaries, and ensure
that complex patients as well as those
with social risk factors receive excellent
care. Within this context, reports by the
Office of the Assistant Secretary for
7 See, for example, United States Department of
Health and Human Services. ‘‘Healthy People 2020:
Disparities. 2014.’’ Available at: https://
www.healthypeople.gov/2020/about/foundationhealth-measures/Disparities; or National Academies
of Sciences, Engineering, and Medicine. Accounting
for Social Risk Factors in Medicare Payment:
Identifying Social Risk Factors. Washington, DC:
National Academies of Sciences, Engineering, and
Medicine 2016.
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Planning and Evaluation (ASPE) and the
National Academy of Medicine have
examined the influence of social risk
factors in CMS value-based purchasing
(VBP) programs.8 As we noted in the FY
2018 IPPS/LTCH PPS final rule (82 FR
38237), ASPE’s report to Congress found
that, in the context of VBP programs,
dual eligibility was the most powerful
predictor of poor health care outcomes
among those social risk factors that they
examined and tested. In addition, as we
noted in the FY 2018 IPPS/LTCH PPS
final rule (82 FR 38237), the National
Quality Forum (NQF) undertook a 2year trial period in which certain new
measures and measures undergoing
maintenance review have been assessed
to determine if risk adjustment for social
risk factors is appropriate for these
8 Department of Health and Human Services
Office of the Assistant Secretary for Planning and
Evaluation (ASPE), ‘‘Report to Congress: Social Risk
Factors and Performance Under Medicare’s ValueBased Purchasing Programs.’’ December 2016.
Available at: https://aspe.hhs.gov/pdf-report/reportcongress-social-risk-factors-and-performanceunder-medicares-value-based-purchasingprograms.
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measures.9 The trial period ended in
April 2017 and a final report is available
at: https://www.qualityforum.org/SES_
Trial_Period.aspx. The trial concluded
that ‘‘measures with a conceptual basis
for adjustment generally did not
demonstrate an empirical relationship’’
between social risk factors and the
outcomes measured. This discrepancy
may be explained in part by the
methods used for adjustment and the
limited availability of robust data on
social risk factors. NQF has extended
the socioeconomic status (SES) trial,10
allowing further examination of social
risk factors in outcome measures.
In the FY 2018 IPPS/LTCH PPS and
CY 2018 ESRD PPS proposed rules for
our quality reporting and VBP programs,
we solicited feedback on which social
risk factors provide the most valuable
information to stakeholders and the
methodology for illuminating
differences in outcomes rates among
patient groups within a hospital or
provider that would also allow for a
comparison of those differences, or
disparities, across providers. Feedback
we received across our quality reporting
programs included encouraging CMS to
explore whether factors that could be
used to stratify or risk adjust the
measures (beyond dual eligibility);
considering the full range of differences
in patient backgrounds that might affect
outcomes; exploring risk adjustment
approaches; and offering careful
consideration of what type of
information display would be most
useful to the public.
We also sought public comment on
confidential reporting and future public
reporting of some of our measures
stratified by patient dual eligibility. In
general, commenters noted that
stratified measures could serve as tools
for hospitals to identify gaps in
outcomes for different groups of
patients, improve the quality of health
care for all patients, and empower
consumers to make informed decisions
about health care. Commenters
encouraged us to stratify measures by
other social risk factors such as age,
income, and educational attainment.
With regard to VBP programs,
commenters also cautioned to balance
fair and equitable payment while
avoiding payment penalties that mask
health disparities or discouraging the
provision of care to more medically
complex patients. Commenters also
noted that VBP program measure
selection, domain weighting,
performance scoring, and payment
methodology must account for social
risk.
As a next step, CMS is considering
options to improve health disparities
among patient groups within and across
hospitals by increasing the transparency
of disparities as shown by quality
measures. We also are considering how
this work applies to other CMS quality
programs in the future. We refer readers
to the FY 2018 IPPS/LTCH PPS final
rule (82 FR 38403 through 38409) for
more details, where we discuss the
potential stratification of certain
Hospital Inpatient Quality Reporting
(IQR) Program outcome measures.
Furthermore, we continue to consider
options to address equity and disparities
in our value-based purchasing
programs.
We plan to continue working with
ASPE, the public, and other key
stakeholders on this important issue to
identify policy solutions that achieve
the goals of attaining health equity for
all beneficiaries and minimizing
unintended consequences.
3. Proposal To Update Regulation Text
for the ESRD QIP
We are proposing to codify a number
of previously adopted requirements for
the ESRD QIP in our regulations by
revising § 413.177 and adopting a new
§ 413.178. Codification of these
requirements would make it easier for
the public to locate these requirements.
Proposed § 413.178 would codify the
following:
• Definitions of key terms used in the
ESRD QIP;
• Rules for determining the
applicability of the ESRD QIP to
facilities, including new facilities;
• Measure selection;
• Rules governing performance
scoring, including how we calculate the
total performance score;
• Our process for making ESRD QIP
performance information available to
the public; and
• The limitation on administrative
and judicial review.
Revised § 413.177(a) would codify
that an ESRD facility that does not earn
enough points under the ESRD QIP to
meet or exceed the minimum total
performance score established for a
payment year would receive up to a 2
percent reduction to its otherwise
applicable payment amount under the
ESRD PPS for renal dialysis services
furnished during that payment year.
We welcome public comments on the
proposed regulation text.
B. Proposed Update to Requirements
Beginning With the PY 2021 ESRD QIP
1. Proposal To Update the PY 2021
Measure Set
In this proposed rule, we are
proposing to refine and update the
criteria for removing measures from the
ESRD QIP measure set, and for
consistency with the terminology we are
adopting for other CMS quality
reporting and value-based purchasing
programs, we now refer to these criteria
as factors. We are also proposing to
remove four of the reporting measures
that we previously finalized for the PY
2021 ESRD QIP measure set. Table 13
summarizes the proposed revisions to
the PY 2021 ESRD QIP measure set, and
we discuss the measure removal
proposals in section IV.B.1.c of this
proposed rule.
TABLE 13—PROPOSED REVISIONS TO THE PREVIOUSLY FINALIZED PY 2021 ESRD QIP MEASURE SET
Measure title and description
0258 ................................................
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NQF #
In-Center Hemodialysis Consumer Assessment of Healthcare Providers and Systems (ICH CAHPS) Survey Administration, a clinical
measure.
Measure assesses patients’ self-reported experience of care through
percentage of patient responses to multiple testing tools.
Standardized Readmission Ratio (SRR), a clinical measure ................
Ratio of the number of observed unplanned 30-day hospital readmissions to the number of expected unplanned 30-day readmissions.
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9 Available at: https://www.qualityforum.org/SES_
Trial_Period.aspx.
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Measure continuing in PY 2021
Yes.
Yes.
10 Available at: https://www.qualityforum.org/
WorkArea/linkit.aspx?LinkIdentifier=id&ItemID=
86357.
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TABLE 13—PROPOSED REVISIONS TO THE PREVIOUSLY FINALIZED PY 2021 ESRD QIP MEASURE SET—Continued
NQF #
Measure title and description
2979 ................................................
Standardized Transfusion Ratio (STrR), a clinical measure .................
Risk-adjusted TrR for all adult Medicare dialysis patients.
Number of observed eligible red blood cell transfusion events occurring in patients dialyzing at a facility to the number of eligible transfusions that would be expected.
A measure of dialysis adequacy where K is dialyzer clearance, t is dialysis time, and V is total body water volume (Kt/V) Dialysis Adequacy Comprehensive, a clinical measure.
Percentage of all patient months for patients whose delivered dose of
dialysis (either hemodialysis or peritoneal dialysis) met the specified threshold during the reporting period.
Hemodialysis Vascular Access: Standardized Fistula Rate clinical
measure.
Measures the use of an AV fistula as the sole means of vascular access as of the last hemodialysis treatment session of the month.
Hemodialysis Vascular Access: Long-Term Catheter Rate clinical
measure.
Measures the use of a catheter continuously for 3 months or longer
as of the last hemodialysis treatment session of the month.
Hypercalcemia, a clinical measure ........................................................
Proportion of patient-months with 3-month rolling average of total uncorrected serum or plasma calcium greater than 10.2 mg/dL.
Standardized Hospitalization Ratio (SHR), a clinical measure .............
Risk-adjusted SHR of the number of observed hospitalizations to the
number of expected hospitalizations.
Serum Phosphorus, a reporting measure. Percentage of all adult
(≥18 years of age) peritoneal dialysis and hemodialysis patients included in the sample for analysis with serum of plasma phosphorus
measured at least once within month.
Anemia Management Reporting, a reporting measure. Number of
months for which facility reports erythropoiesis-stimulating agent
(ESA) dosage (as applicable) and hemoglobin/hematocrit for each
Medicare patient, at least once per month.
Pain Assessment and Follow-Up, a reporting measure. Facility reports in CROWNWeb one of six conditions for each qualifying patient once before August 1 of the performance period and once before February 1 of the year following the performance period.
Clinical Depression Screening and Follow-Up, a reporting measure ...
Facility reports in CROWNWeb one of six conditions for each qualifying patient treated during performance period.
National Healthcare Safety Network (NHSN) Healthcare Personnel
Influenza Vaccination, a reporting measure. Facility submits
Healthcare Personnel Influenza Vaccination Summary Report to
the Centers for Disease Control and Prevention’s (CDC’s) NHSN
system, according to the specifications of the Healthcare, Personnel Safety Component Protocol by May 15 of the performance
period.
Ultrafiltration Rate, a reporting measure ...............................................
Number of months for which a facility reports elements required for
ultrafiltration rates for each qualifying patient.
NHSN Bloodstream Infection (BSI) in Hemodialysis Patients, a clinical measure.
The Standardized Infection Ratio (SIR) of BSIs will be calculated
among patients receiving hemodialysis at outpatient hemodialysis
centers.
NHSN Dialysis Event reporting measure ..............................................
Number of months for which facility reports NHSN Dialysis Event
data to CDC.
N/A ..................................................
2977 ................................................
2978 ................................................
1454 ................................................
1463 * ..............................................
0255 ................................................
N/A ..................................................
Based on NQF #0420 .....................
Based on NQF #0418 .....................
Based on NQF #0431 .....................
N/A ..................................................
Based on NQF #1460 .....................
sradovich on DSK3GMQ082PROD with PROPOSALS2
N/A ..................................................
a. Proposal To Refine and Update the
Factors Used for ESRD QIP Measure
Removal
Under our current policy, we consider
an ESRD QIP measure for removal or
replacement if: (1) Measure performance
among the majority of ESRD facilities is
so high and unvarying that meaningful
distinctions in improvements or
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performance can no longer be made; (2)
performance or improvement on a
measure does not result in better or the
intended patient outcomes; (3) a
measure no longer aligns with current
clinical guidelines or practice; (4) a
more broadly applicable (across settings,
populations, or conditions) measure for
the topic becomes available; (5) a
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Measure continuing in PY 2021
Yes.
Yes.
Yes.
Yes.
Yes.
Yes.
Proposed for Removal.
Proposed for Removal.
Proposed for Removal.
Yes.
Proposed for Removal.
Yes.
Yes.
Yes.
measure that is more proximal in time
to desired patient outcomes for the
particular topic becomes available; (6) a
measure that is more strongly associated
with desired patient outcomes for the
particular topic becomes available; or
(7) collection or public reporting of a
measure leads to negative or unintended
consequences (77 FR 67475). In the CY
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2015 ESRD PPS final rule, we adopted
statistical criteria for determining
whether a clinical measure is topped
out, and adopted a policy under which
we could retain an otherwise topped-out
measure if we determined that its
continued inclusion in the ESRD QIP
measure set would address the unique
needs of a specific subset of the ESRD
population (79 FR 66174). In the CY
2013 ESRD PPS final rule (77 FR 67475),
we finalized that we would generally
remove an ESRD QIP measure using
notice and comment rulemaking, unless
we determined that the continued
collection of data on the measure raised
patient safety concerns. In that case, we
stated that we would promptly remove
the measure and publish the
justification for the removal in the
Federal Register during the next
rulemaking cycle. In addition, we stated
that we would immediately notify ESRD
facilities and the public through the
usual communication channels,
including listening sessions, memos,
email notification, and Web postings.
In order to align with terminology we
are adopting for use across a number of
quality reporting and pay for
performance programs, we will now
refer to these criteria as ‘‘factors’’ rather
than ‘‘criteria.’’ We are also proposing to
update these measure removal factors so
that they are more closely aligned with
the factors we have adopted or proposed
to adopt for other quality reporting and
pay for performance programs, as well
as the priorities we have adopted as part
of our Meaningful Measures Initiative.
Specifically, we are proposing to
combine current Factors 4 and 5
(proposed new Factor 4), and we are
proposing to adjust the numbering of
subsequent factors to account for this
change. We are also proposing to add a
new factor for measures where it is not
feasible to implement the measure
specifications; we would refer to this
new factor as Factor 7. Proposed Factors
1 through 7 are as follows:
• Factor 1. Measure performance
among the majority of ESRD facilities is
so high and unvarying that meaningful
distinctions in improvements or
performance can no longer be made (for
example, the measure is topped-out).
• Factor 2. Performance or
improvement on a measure does not
result in better or the intended patient
outcomes.
• Factor 3. A measure no longer
aligns with current clinical guidelines
or practice.
• Factor 4. A more broadly applicable
(across settings, populations, or
conditions) measure for the topic or a
measure that is more proximal in time
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to desired patient outcomes for the
particular topic becomes available.
• Factor 5. A measure that is more
strongly associated with desired patient
outcomes for the particular topic
becomes available.
• Factor 6. Collection or public
reporting of a measure leads to negative
or unintended consequences.
• Factor 7. It is not feasible to
implement the measure specifications.
We believe these proposed updates
would better ensure that we use a
consistent approach across our quality
reporting and value-based purchasing
programs when considering measures
for removal, and that they reflect the
considerations we have long used when
evaluating measures for removal from
the ESRD QIP. However, even if one or
more of the measure removal factors
applies, we might nonetheless choose to
retain the measure for certain specified
reasons. Examples of such instances
could include when a particular
measure addresses a gap in quality that
is so significant that removing the
measure could result in poor quality, or
in the event that a given measure is
statutorily required. Furthermore,
consistent with other quality reporting
programs, we propose to apply these
factors on a case-by-case basis.
We welcome comment on these
proposals.
b. Proposed New Measure Removal
Factor
In this proposed rule, we are
proposing to adopt an additional factor
to consider when evaluating measures
for removal from the ESRD QIP measure
set: Factor 8, the costs associated with
a measure outweigh the benefit of its
continued use in the Program.
As we discuss in section IV.A.1 of this
proposed rule, with respect to our new
‘‘Meaningful Measures Initiative,’’ we
are engaging in efforts to ensure that the
ESRD QIP measure set continues to
promote improved health outcomes for
beneficiaries while minimizing the
overall costs associated with the
Program. We believe these costs are
multifaceted and include not only the
burden associated with reporting, but
also the costs associated with
implementing and maintaining the
Program. We have identified several
different types of costs, including, but
not limited to: (1) Provider, supplier and
clinician information collection burden
and related cost and burden associated
with the submission/reporting of quality
measures to CMS; (2) provider, supplier
and clinician cost associated with
complying with other quality
programmatic requirements; (3)
provider, supplier and clinician cost
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associated with participating in
multiple quality programs, and tracking
multiple similar or duplicative
measures within or across those
programs; (4) CMS cost associated with
the Program oversight of the measure,
including measure maintenance and
public display; and (5) provider,
supplier and clinician cost associated
with compliance with other federal and/
or state regulations (if applicable). For
example, it may be needlessly costly
and/or of limited benefit to retain or
maintain a measure which our analyses
show no longer meaningfully supports
Program objectives (for example,
informing beneficiary choice). It may
also be costly for health care providers
to track confidential feedback preview
reports and publicly reported
information on a measure where we use
the measure in more than one Program.
CMS may also have to expend
unnecessary resources to maintain the
specifications for the measure, as well
as the tools needed to collect, validate,
analyze, and publicly report the
measure data. Furthermore,
beneficiaries may find it confusing to
see public reporting on the same
measure in different Programs.
When these costs outweigh the
evidence supporting the continued use
of a measure in the ESRD QIP, we
believe it may be appropriate to remove
the measure from the Program.
Although we recognize that one of the
main goals of the ESRD QIP is to
improve beneficiary outcomes by
incentivizing health care providers to
focus on specific care issues and making
public data related to those issues, we
also recognize that those goals can have
limited utility where, for example, the
publicly reported data are of limited use
because they cannot be easily
interpreted by beneficiaries to influence
their choice of providers. In these cases,
removing the measure from the ESRD
QIP may better accommodate the costs
of Program administration and
compliance without sacrificing
improved health outcomes and
beneficiary choice.
We are proposing that we would
remove measures based on this factor on
a case-by-case basis. We might, for
example, decide to retain a measure that
is burdensome for health care providers
to report if we conclude that the benefit
to beneficiaries justifies the reporting
burden. Our goal is to move the Program
forward in the least burdensome manner
possible, while maintaining an
appropriately sized set of meaningful
quality measures and continuing to
incentivize improvement in the quality
of care provided to patients.
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We are inviting public comment on
our proposal to adopt an additional
measure removal factor, ‘‘the costs
associated with a measure outweigh the
benefit of its continued use in the
Program,’’ beginning with PY 2021.
sradovich on DSK3GMQ082PROD with PROPOSALS2
c. Proposed Removal of Four Reporting
Measures
We have undertaken efforts to review
the existing ESRD QIP measure set in
the context of the Meaningful Measures
Initiative described in section IV.A.1 of
this proposed rule. Based on that
analysis and our evaluation of the
Program’s measures, we are proposing
to remove four measures previously
adopted for the ESRD QIP, starting with
PY 2021. If these proposals are
finalized, facilities would no longer be
required to report data specific to these
measures beginning with January 1,
2019 dates of service. The four measures
we are proposing to remove from the
ESRD QIP measure set are:
• Healthcare Personnel Influenza
Vaccination.
• Pain Assessment and Follow-Up.
• Anemia Management.
• Serum Phosphorus.
Proposed Removal of the Healthcare
Personnel Influenza Vaccination
Reporting Measure From the ESRD QIP
Measure Set
In the CY 2015 ESRD PPS final rule,
we adopted the Healthcare Personnel
Influenza Vaccination reporting
measure in the ESRD QIP measure set
beginning with PY 2018 because we
recognize that influenza immunization
is an important public health issue and
that vaccinating healthcare personnel
against influenza can help to protect
healthcare personnel and their patients
(79 FR 66206 through 66208). We
continue to believe that the Healthcare
Personnel Influenza Vaccination
measure provides the benefit of
protecting patients against influenza.
However, our analysis of CY 2016 data
indicates that ESRD facility performance
on the measure was consistently high;
98 percent of ESRD facilities received
the highest possible score on the
measure (10 points) and the remaining
2 percent received no score on the
measure because they did not report the
required data. This finding indicates
that influenza vaccination of healthcare
personnel in ESRD facilities is a
widespread practice and that there is
little room for improvement on this
measure. Accordingly, we are proposing
to remove this measure from the ESRD
QIP measure set beginning with PY
2021 under Factor 1 (measure
performance among the majority of
ESRD facilities is so high and unvarying
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that meaningful distinctions in
improvements or performance can no
longer be made).
Proposed Removal of the Pain
Assessment and Follow-Up Reporting
Measure From the ESRD QIP Measure
Set
In the CY 2015 ESRD PPS final rule,
we adopted the Pain Assessment and
Follow-Up reporting measure beginning
with PY 2018 (79 FR 66203 through
66206) because patients with ESRD
frequently experience pain that has a
debilitating impact on their daily lives,
and research has shown a lack of
effective pain management strategies in
place in dialysis facilities. We continue
to believe that effective pain
management is an important component
of the care received by ESRD patients.
However, our analysis of CY 2016 data
indicates that with respect to that year,
90 percent of ESRD facilities received
the highest possible score on the
measure (10 points) and 1 percent of
ESRD facilities received no score on the
measure. This finding indicates that
documentation of pain management
using a standardized tool, as well as
documentation of a follow-up plan
where pain is present, are widespread
practices in ESRD facilities and that
there is little room for improvement on
the measure. Accordingly, we are
proposing to remove this measure from
the ESRD QIP measure set based on our
proposed Factor 1 (measure
performance among the majority of
ESRD facilities is so high and unvarying
that meaningful distinctions in
improvements or performance can no
longer be made).
Proposed Removal of the Anemia
Management Reporting Measure From
the ESRD QIP Measure Set
In the CY 2013 ESRD PPS final rule,
we adopted the Anemia Management
reporting measure beginning with the
PY 2015 ESRD QIP (77 FR 67491
through 67495) because we believe that
it is important to monitor hemoglobin
levels in patients to ensure that anemia
is properly treated. Additionally, the
measure’s adoption fulfilled the
statutory requirement at section
1881(h)(2)(A)(i) of the Act that the ESRD
QIP include measures on anemia
management that reflect labeling
approved by the Food and Drug
Administration (FDA) for such
management. Additionally, in the CY
2015 ESRD PPS final rule (79 FR 66192
through 66197), we adopted the NQFendorsed Standardized Transfusion
Ratio (STrR) measure beginning with PY
2018 to ensure that patients with ESRD
are not negatively affected by
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34339
underutilization of ESAs, with the result
that these patients have lower achieved
hemoglobin levels and more frequently
need red-blood-cell transfusions. We
stated that there is a strong association
between achieved hemoglobin levels
and subsequent transfusion events, and
that facilities have a direct role in
determining achieved hemoglobin as a
result of their anemia management
practices (79 FR 66194). We also noted
that the STrR measure meets the
requirement at section 1881(h)(2)(A)(i)
of the Act for the ESRD QIP to adopt
measures of anemia management that
reflect the labeling approved by the
Food and Drug Administration for such
management.
Our analysis of CY 2016 data
indicates that ESRD facility performance
on the Anemia Management reporting
measure was consistently high; 96
percent of ESRD facilities received the
highest possible score on the measure
(10 points). This finding indicates that
facility tracking of hemoglobin values
and, as applicable, ESA dosages, is
widely performed among ESRD facilities
and that there is little room for
improvement on the measure.
We are therefore proposing to remove
the Anemia Management reporting
measure from the ESRD QIP measure set
based on Factor 1 (measure performance
among the majority of ESRD facilities is
so high and unvarying that meaningful
distinctions in improvements or
performance can no longer be made).
Proposed Removal of the Serum
Phosphorus Reporting Measure From
the ESRD QIP Measure Set
In the CY 2014 ESRD PPS final rule,
we adopted the Hypercalcemia measure
beginning with the PY 2016 ESRD QIP
(78 FR 72200 through 72203) as a
measure of bone mineral metabolism.
Specifically, this measure assesses the
number of patients with uncorrected
serum calcium greater than 10.2 mg/dL
for a 3-month rolling average. In the CY
2017 ESRD PPS final rule (81 FR 77876
through 77879), we finalized two
modifications to the measure’s technical
specifications, as recommended during
the measure maintenance process at the
NQF, beginning with PY 2019. First, we
added plasma as an acceptable substrate
in addition to serum calcium. Second,
we amended the denominator definition
to include patients regardless of
whether any serum calcium values were
reported at the facility during the 3month study period. These changes
ensure that, beginning with PY 2019,
the measure aligns with the NQFendorsed measure.
In the CY 2017 ESRD PPS final rule,
we adopted a second measure of bone
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mineral metabolism, beginning with PY
2020: The Serum Phosphorus reporting
measure (81 FR 77911 through 77912).
This measure evaluates the extent to
which facilities monitor and report
patient phosphorus levels.
While we consider both the
Hypercalcemia measure and the Serum
Phosphorus measure to be measures of
bone mineral metabolism, the two
measures track different minerals.
Hypercalcemia measures calcium levels
and Serum Phosphorus measures
phosphorus levels. Numerous studies
have associated disorders of mineral
metabolism with morbidity, including
fractures, cardiovascular disease, and
mortality. Overt symptoms of these
abnormalities often manifest in only the
most extreme states of calciumphosphorus dysregulation (81 FR
77911).
As a result of the NQF’s 2017 reendorsement of the Hypercalcemia
measure, as well as the Hypercalcemia
measure’s focus on clinical factors that
are more directly under the facility’s
control, we now consider the
Hypercalcemia measure to be a superior
measure of bone mineral metabolism
compared with Serum Phosphorus. In
addition, of the two measures, the
Hypercalcemia measure is more focused
on outcomes; the Serum Phosphorus is
a reporting measure while the
Hypercalcemia measure is a clinical
measure. Finally, the Hypercalcemia
measure is an outcome-based measure
specific to the conditions treated with
oral-only drugs, which is a statutory
requirement for the ESRD QIP measure
set. Based on the limited benefit
provided to the Program by the Serum
Phosphorus measure as well as its
reporting burden, we are proposing to
remove the Serum Phosphorus reporting
measure from the ESRD QIP measure set
based on Factor 5 (that is, a measure
that is more strongly associated with
desired patient outcomes for the
particular topic becomes available).
We seek comments on these
proposals. We note that we are not
proposing any changes to the PY 2021
performance period or performance
standards, and we refer readers to the
CY ESRD PPS 2018 final rule (82 FR
50778 through 50779) for a discussion
of those policies.
2. Estimated Performance Standards,
Achievement Thresholds, and
Benchmarks for the PY 2021 ESRD QIP
In the CY 2018 ESRD PPS final rule
(82 FR 50763 through 50764) we
finalized that for PY 2021, the
performance standards, achievement
thresholds, and benchmarks for the
clinical measures would be set at the
50th, 15th, and 90th percentile,
respectively, of national performance in
CY 2017, because this would give us
enough time to calculate and assign
numerical values to those performance
standards prior to the beginning of the
performance period for that payment
year. At this time, we do not have the
necessary data to assign numerical
values to those performance standards,
achievement thresholds, and
benchmarks because we do not yet have
complete data from CY 2017.
Nevertheless, we are able to estimate
these numerical values based on the
most recent data available. In Table 14,
we have provided the estimated
numerical values for all finalized PY
2021 ESRD QIP clinical measures, and
we note that we have not proposed in
this proposed rule to remove any of
those measures. We will publish
updated values for the clinical
measures, using CY 2017 data that
facilities submitted in the first part of
CY 2018, in the CY 2019 ESRD PPS final
rule.
TABLE 14—ESTIMATED NUMERICAL VALUES FOR THE PERFORMANCE STANDARDS FOR THE PY 2021 ESRD QIP CLINICAL
MEASURES USING THE MOST RECENTLY AVAILABLE DATA
Achievement
threshold
Measure
Vascular Access Type:
Standardized Fistula Rate ........................................................................................................
Long-Term Catheter Rate ........................................................................................................
Kt/V Composite ............................................................................................................................
Hypercalcemia .............................................................................................................................
Standardized Transfusion Ratio ..................................................................................................
Standardized Readmission Ratio ................................................................................................
NHSN BSI ....................................................................................................................................
SHR measure ..............................................................................................................................
ICH CAHPS: Nephrologists’ Communication and Caring ...........................................................
ICH CAHPS: Quality of Dialysis Center Care and Operations ...................................................
ICH CAHPS: Providing Information to Patients ..........................................................................
ICH CAHPS: Overall Rating of Nephrologists .............................................................................
ICH CAHPS: Overall Rating of Dialysis Center Staff ..................................................................
ICH CAHPS: Overall Rating of the Dialysis Facility ....................................................................
0.518
19.23%
91.09%
2.41%
1.683
1.273
1.598
1.249
57.36%
53.14%
73.31%
49.33%
48.84%
52.24%
Benchmark
0.752
5.47%
98.56%
0.00%
0.200
0.630
0
0.670
78.09%
71.52%
86.83%
76.57%
77.42%
82.48%
Performance
standard
0.628
12.02%
95.64%
0.86%
0.846
0.998
0.740
0.967
67.04%
61.22%
79.79%
62.22%
62.26%
66.82%
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Data sources: VAT measures: 2016 CROWNWeb; SRR, STrR, SHR: 2016 Medicare claims; Kt/V: 2016 CROWNWeb; Hypercalcemia: 2016
CROWNWeb; NHSN: 2016 CDC, ICH CAHPS: CMS 2015 and 2016.
In previous rulemaking, we have
finalized that if final numerical values
for the performance standard,
achievement threshold, and/or
benchmark are worse than they were for
that measure in the previous year of the
ESRD QIP, then we would substitute the
previous year’s performance standard,
achievement threshold, and/or
benchmark for that measure. In the CY
2017 ESRD PPS final rule, we finalized
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an update to that policy because in
certain cases, it may be appropriate to
re-baseline the National Healthcare
Safety Network (NHSN) Bloodstream
Infection (BSI) clinical measure, such
that expected infection rates are
calculated on the basis of a more recent
year’s data (81 FR 77886). In such cases,
numerical values assigned to
performance standards may appear to
decline, even though they represent
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higher standards for infection
prevention. For PY 2021 and future
payment years, we propose to continue
use of this policy for the reasons
explained above.
3. Proposed Change to the Scoring
Methodology Previously Finalized for
the PY 2021 ESRD QIP
As described in section IV.A.1 of this
proposed rule, CMS has established the
Meaningful Measures Initiative to help
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guide and focus measure development
efforts across settings. In order to align
the ESRD QIP more closely with the
priorities of that initiative, we proposed
in section IV.B.1.c of this proposed rule
to remove four reporting measures from
the ESRD QIP measure set, beginning
with PY 2021. In this section, we are
proposing to make changes to the
measure domains and weights.
sradovich on DSK3GMQ082PROD with PROPOSALS2
a. Proposed Revision To Measure
Domains Beginning With the PY 2021
ESRD QIP
To more closely align with the
Meaningful Measures Initiative, we are
proposing to eliminate the Reporting
Domain and to reorganize the Clinical
Domain into three distinct domains:
Patient & Family Engagement Domain
(currently part of the Patient and Family
Engagement/Care Coordination
Subdomain), Care Coordination Domain
(currently part of the Patient and Family
Engagement/Care Coordination
Subdomain), and Clinical Care Domain
(currently the Clinical Care Subdomain).
Adopting these topics as separate
domains would result in a measure set
that is more closely aligned with the
priority areas in the Meaningful
Measures Initiative. The proposed
Clinical Care Domain would align with
the Meaningful Measure Initiative
priority to promote effective prevention
and treatment of chronic disease. The
proposed Patient & Family Engagement
Domain would align with the
Meaningful Measures Initiative priority
to strengthen person and family
engagement as partners in their care.
The proposed Care Coordination
Domain would align with the
Meaningful Measures Initiative priority
to promote effective communication and
coordination of care. We are also
proposing to continue use of the Patient
Safety Domain. The Patient Safety
Domain would align with the
Meaningful Measures Initiative priority
to make care safer by reducing harm
caused in the delivery of care. We are
also proposing to eliminate the
Reporting Measure Domain from the
ESRD QIP measure set, beginning in the
PY 2021 Program, because there would
no longer be any measures in that
domain if our measure removal
proposals in section IV.B.1.c of this
proposed rule and our proposals in
section IV.B.3.b of this proposed rule to
reassign the Ultrafiltration Rate, and
Clinical Depression Screening and
Follow-Up Reporting measures to the
Clinical Care Measure Domain and the
Care Coordination Measure Domain,
respectively, are finalized.
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b. Proposed Revisions to the PY 2021
Domain and Measure Weights Used To
Calculate the Total Performance Score
(TPS)
We are proposing to update the
domain weights to reflect our proposed
removal of the Reporting Domain and
our proposed reorganization of the
Clinical Domain into three distinct
domains, as shown in Table 15. We
believe that this proposed domain
weighting best aligns the ESRD QIP’s
measure set with our preferred
emphasis on clinical outcomes by
assigning the two largest weights in the
Program to the domains most focused
on clinical outcomes (Clinical Care
Domain and the Care Coordination
Domain). Of those two domains, we are
proposing to assign the Clinical Care
Domain the highest weight because it
contains the largest number of
measures. We are proposing to assign
the remaining two domains a smaller
share of the total performance score
(TPS) (both 15 percent) because they are
more focused on measures of clinical
processes and less on measures of
patient outcomes. We continue to
believe that the measures in the Patient
& Family Engagement and Safety
domains address important clinical
topics, but we have concluded that
placing more weighting on measures
more directly tied to clinical outcomes
is the most appropriate method to
structure the ESRD QIP’s measure
domains.
We are also proposing to adjust the
PY 2021 measure weights that were
finalized in the CY 2018 ESRD PPS final
rule (82 FR 50781 through 50783), as
shown in Table 15. This proposal is also
intended to reflect our preferred
emphasis on weighting measures that
directly impact clinical outcomes more
heavily. We also took into consideration
the degree to which a facility can
influence a measure rate by assigning a
higher weight to measures where a
facility has greater influence compared
to measures where a facility has less
influence.
34341
TABLE 15—PROPOSED DOMAIN AND
MEASURE WEIGHTING FOR THE PY
2021 ESRD QIP—Continued
Proposed measures/
measure topics
by domain
Care Coordination Measure
Domain:
SRR measure ................
SHR measure ................
Clinical Depression and
Follow-Up reporting
measure .....................
Proposed
measure
weight as
percent
of TPS
14.00
14.00
2.00
30
Clinical Care Measure Domain:
Kt/V Dialysis Adequacy
Comprehensive measure ..............................
Vascular Access Type
measure topic * ..........
Hypercalcemia measure
STrR measure ...............
Ultrafiltration Rate reporting measure .........
6.00
6.00
3.00
22.00
3.00
40
Safety Measure Domain:
NHSN BSI measure ......
NHSN Dialysis Event reporting measure .........
9.00
6.00
15
* The VAT Measure Topic is weighted for
each facility based on the number of eligible
patients for each of the two measures in the
topic, with each measure score multiplied by
the respective percentage of patients within
the topic to reach a weighted topic score that
will be unique for each facility (76 FR 70265,
70275).
As shown in Table 15, we are
proposing to decrease the weight of the
following measures: In-Center
Hemodialysis Consumer Assessment of
Healthcare Providers and Systems (ICH
CAHPS) measure (18.75 to 15 percent),
Kt/V Dialysis Adequacy Comprehensive
measure (13.5 to 6 percent), and
Vascular Access Type (VAT) measure
topic (13.5 to 6 percent). We are also
proposing to increase the weights of the
following measures: Standardized
Readmission Ratio (SRR) measure (11.25
TABLE 15—PROPOSED DOMAIN AND to 14 percent), Standardized
MEASURE WEIGHTING FOR THE PY Hospitalization Ratio (SHR) measure
2021 ESRD QIP
(8.25 to 14 percent), Clinical Depression
and Follow-Up measure (1.66 to 2
Proposed
percent), Hypercalcemia measure (1.5 to
Proposed measures/
measure
3 percent), STrR measure (8.25 to 22
measure topics
weight as
percent), and Ultrafiltration reporting
by domain
percent
of TPS
measure (1.66 to 3 percent). We are
proposing these changes to reflect our
Patient & Family Engagecontinued evaluation of the ESRD QIP’s
ment Measure Domain:
measures and their contribution to the
ICH CAHPS measure ....
15.00
TPS in light of the proposed domain
structure and weights as well as the
.
15.00 proposed removal of the four reporting
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measures. We note that we are not
proposing any changes to the two
measures included in the Safety
Measure Domain: NHSN BSI and NSHN
Dialysis Event measures. We continue to
believe that the Safety domain
appropriately contains these two NHSN
measures and we believe their assigned
weights—9 percent and 6 percent
respectively—reflect the importance
that we place on measures of patient
safety for the PY 2021 ESRD QIP.
We seek comment on our proposed
domain and measure weighting
proposals.
sradovich on DSK3GMQ082PROD with PROPOSALS2
Proposals To Update the Eligibility
Requirement for Receiving a TPS for a
PY and Reassign Measure Weights
In the CY 2017 ESRD PPS final rule
(81 FR 77888 through 77889), we
finalized that to be eligible to receive a
TPS, a facility must be eligible to be
scored on at least one measure in the
Clinical Measure Domain and at least
one measure in the Reporting Domain.
We are proposing to revise this policy
due to our proposed removal of the
Reporting Domain from the ESRD QIP
measure set and our proposal to
increase the number of domains overall
from three to four. We are proposing
that to be eligible to receive a TPS, a
facility must be eligible to be scored on
at least one measure in any two out of
the four domains in the ESRD QIP
measure set. The proposed approach is
consistent with our previously finalized
policy because it would allow facilities
to receive a TPS with as few as two
measure scores. The proposed approach
also enables us to maximize the number
of facilities that can participate, while
ensuring that ESRD facilities are scored
on a sufficient number of measures to
create a sufficiently-reliable TPS.
Because of this proposed eligibility
requirement to receive a TPS, we
concluded that we must also consider
how to reassign measure weights in
those cases where facilities do not
receive a score on every measure but
receive scores on enough measures to
receive a TPS. We considered two
alternatives to address this issue: (1)
Redistribute the weights of missing
measures evenly across the remaining
measures (that is, we would divide up
the missing measure weights equally
across the remaining measures), and (2)
redistribute the weights of missing
measures proportionately across the
remaining measures, based on their
weights as a percentage of TPS (that is,
when dividing up missing measure
weights, we would shift a larger share
of the weights to measures with higher
assigned weights; measures with lower
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weights would gain a smaller portion of
the missing measure weights).
While the first policy alternative is
administratively simpler to implement,
this option would not maintain the
Meaningful Measures Initiative
priorities in the measure weights as
effectively, and therefore, we are
proposing the second policy alternative.
As discussed earlier, we are proposing
an approach for reweighting the
domains and measures in the ESRD QIP
for PY 2021 based on the priorities
identified in the Meaningful Measures
Initiative. Under this approach, we are
proposing to assign a higher weight to
measures that focus on outcomes and a
lower weight to measures that focus on
clinical processes. If we adopted the
first policy alternative, measures that we
consider a lower priority would
represent a much larger share of TPS
relative to measures that we consider a
higher priority, in situations where a
facility is missing one or more measure
scores. Under the second policy
alternative, when a facility is not scored
on a measure, the weight of lower
priority measures relative to higher
priority measures would be more
consistent with the weights assigned to
the complete measure set. We note that
this proposal, if finalized, would be
effective for PY 2021; we use the PY
2022 measure set for the following
example. If a facility was ineligible to
receive a score on all of the measures in
both the Clinical Care Measure Domain
and the Safety Measure Domain in PY
2022, the weight of the Clinical
Depression and Follow-Up Measure—
the lowest weighted measure remaining
in the measure set would increase from
2.5 percent of the TPS to 13.5 percent
of the TPS under the first policy
alternative and would increase from 2.5
percent of the TPS to 5.6 percent of the
TPS under the second policy
alternative. Under the same scenario,
the weight of the ICH CAHPS measure—
the highest weighted remaining in the
measure set would increase from 15
percent to 26 percent under the first
policy alternative and would increase
from 15 percent to 33.33 percent under
the second policy alternative.
Therefore, based on these
considerations, we are proposing that in
cases where a facility does not receive
a score on one or more measures but
receives scores on enough measures to
receive a TPS, we would redistribute the
weights of any measures for which the
facility does not receive a score to the
remaining measures proportionately
based on their measures weight as a
percent of the TPS. This redistribution
would occur across all measures,
regardless of their domain, and would
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be effective beginning PY 2021. We have
concluded that this policy would more
effectively maintain the Meaningful
Measure Initiative’s priorities in the
ESRD QIP’s measure weights in
situations where a facility does not
receive a score on one or more
measures. We believe that this
proportional reweighting would ensure
ESRD QIP TPSs are calculated in a fair
and equitable manner.
We seek comment on this proposal.
4. Proposed Update to the Requirement
To Begin Reporting Data for the ESRD
QIP
In the CY 2013 ESRD PPS final rule,
we finalized our current policy to begin
counting the number of months in
which a facility is open on the first day
of the month after the facility’s CMS
Certification Number (CCN) Open Date
(77 FR 67512 through 67513). In
response to comments suggesting that
facilities be required to begin reporting
on the first day of the third month after
its CCN Open Date, we agreed that a
facility needs time to ensure that its
systems are in place to report the data,
and we adopted policies that would
allow new facilities to be exempted
from scoring on individual measures
based on their CCN Open Date. Despite
these policies, we have continued to
receive feedback that new facilities need
additional time to deploy their
information systems and enroll in
CROWNWeb and NHSN. This feedback
was presented both through the
rulemaking process (80 FR 69066), and
during the period in which facilities
preview their scores. In response to this
continued feedback, we have taken
another look at our eligibility policies
for new facilities, keeping in mind that
program requirements have become
more complex over time, and have
concluded that our existing policy may
not provide new facilities with
sufficient time to enroll in CROWNWeb
and the NHSN, or otherwise prepare to
report the data needed for the ESRD
QIP.
Accordingly, for PY 2021 and beyond,
we are proposing to update this policy.
The proposed policy would require
facilities to collect data for purposes of
the ESRD QIP beginning with services
furnished on the first day of the month
that is 4 months after the month in
which the CCN becomes effective. For
example, if a facility has a CCN effective
date of January 15, 2019, that facility
would be required to begin collecting
data for purposes of the ESRD QIP
beginning with services furnished on
May 1, 2019. The proposed policy
would provide facilities with a longer
time period than they are given now to
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become familiar with the processes for
collecting and reporting ESRD QIP data
before those data are used for purposes
of scoring. We believe this policy
appropriately balances our desire to
incentivize prompt participation in the
ESRD QIP with the practical challenges
facing new ESRD facilities as they begin
operations.
We welcome public comments on this
proposal.
5. Estimated Payment Reduction for the
PY 2021 ESRD QIP
Under our current policy, a facility
will not receive a payment reduction in
connection with its performance under
the PY 2021 ESRD QIP if it achieves a
minimum TPS that is equal to or greater
than the total of the points it would
have received if: (1) It performs at the
performance standard for each clinical
measure; and (2) it receives the number
of points for each reporting measure that
corresponds to the 50th percentile of
facility performance on each of the PY
2019 reporting measures (82 FR 50787
through 50788).
We were unable to calculate a
minimum a TPS for PY 2021 in the CY
2018 ESRD PPS final rule because we
were not yet able to calculate the
performance standards for each of the
clinical measures. We therefore stated in
the CY 2018 ESRD PPS final rule (82 FR
50787 through 50788) that we would
publish the minimum TPS for the PY
2021 ESRD QIP in the CY 2019 ESRD
PPS final rule.
Based on the estimated performance
standards proposed in section IV.B.2 of
this proposed rule, we estimate that a
facility must meet or exceed a minimum
TPS of 57 for PY 2021. For all of the
clinical measures, these data come from
CY 2017. We are proposing that a
facility that achieves a TPS below the
minimum TPS that we set for PY 2021
would receive payment reduction based
on the estimated TPS ranges indicated
in Table 16.
TABLE 16—ESTIMATED PAYMENT REDUCTION SCALE FOR PY 2021
BASED ON THE MOST RECENTLY
AVAILABLE DATA
sradovich on DSK3GMQ082PROD with PROPOSALS2
Total performance score
Reduction
(%)
100–57 ..................................
56–47 ....................................
46–37 ....................................
36–27 ....................................
26–0 ......................................
0
0.5
1.0
1.5
2.0
We intend to finalize the minimum
TPS for PY 2021, as well as the payment
reduction ranges for that PY, in the CY
2019 ESRD PPS final rule.
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We see comment on these proposals.
6. Data Validation Proposals for PY 2021
and Subsequent Years
One of the critical elements of the
ESRD QIP’s success is ensuring that the
data submitted to calculate measure
scores and TPSs are accurate. The ESRD
QIP currently includes two validation
studies for this purpose: The
CROWNWeb pilot data validation study
(OMB Control Number 0938–1289) and
the NHSN dialysis event validation
study (OMB Control Number 0938–
1340).
Since the PY 2016 ESRD QIP, we have
validated data submitted to
CROWNWeb for each payment year by
sampling no more than 10 records from
300 randomly selected facilities (78 FR
72223 through 72224). In the CY 2018
ESRD PPS final rule, we finalized that
for PY 2020, we would continue
validating these data using the same
methodology, but also finalized that we
would deduct 10 points from a facility’s
TPS for PY 2020 if the facility was
selected for validation but did not
submit the requested records within 60
calendar days of receiving a request (82
FR 50766 through 50767).
Since we issued the CY 2018 ESRD
PPS final rule, we have considered
whether it is appropriate to continue to
refer to this validation of CROWNWeb
data as a study. We analyzed the
CROWNWeb data that we used for
purposes of the PY 2016 validation
study to determine how reliable the
current methodology is, and our
analysis showed an overall match rate of
92.2 percent among the facilities
selected for participation. Additionally,
based on our statistical analyses, we
have concluded that the validation
study is well-powered when we sample
10 records per facility from 300
facilities, meaning that a validation
study implemented with those sampling
requirements will meet our needs when
assessing the accuracy and
completeness of facilities’ CROWNWeb
data submissions.
This analysis indicates that our
validation methodology produces
reliable results and can be used to
ensure that accurate ESRD QIP data are
reported to CROWNWeb. Therefore, we
are proposing to validate the
CROWNWeb data submitted for the
ESRD QIP, beginning with CY 2019 data
submitted for PY 2021, using the
methodology we first adopted for the PY
2016 ESRD QIP and updated for the PY
2020 ESRD QIP. Under this
methodology, we would sample no
more than 10 records from 300
randomly selected facilities each year,
and we would deduct 10 points from a
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34343
facility’s TPS if the facility was selected
for validation but did not submit the
requested records.
With respect to data submitted to the
NSHN, we have been developing and
testing a protocol for validating those
data on a statistically relevant scale. For
PY 2020, our methodology for this
feasibility study is to randomly select 35
facilities and require that each of those
facilities submit 10 patient records
covering 2 quarters of data reported in
CY 2018. Our selection process targets
facilities for NHSN validation by
identifying which facilities that are at
risk for under-reporting. For additional
information on this methodology, we
refer readers to the CY 2018 ESRD PPS
final rule (82 FR 50766 through 50767).
We have continued to work with the
Centers for Disease Control and
Prevention (CDC) to determine the most
appropriate sample size for achieving
reliable validation results through this
NSHN dialysis event validation study.
Based on recent statistical analyses
conducted by the CDC, we have
concluded that to achieve the most
reliable results for a payment year, we
would need to review approximately
6,072 charts submitted by 303 facilities.
This sample size would produce results
with a 95 percent confidence level and
a 1 percent margin of error. Based on
these results and our desire to ensure
that dialysis event data reported to the
NHSN for purposes of the ESRD QIP is
accurate, we are proposing to increase
the sample sizes used for the NHSN
dialysis event validation study, over a 2
year period, to 300 facilities and 20
records per quarter for each of the first
2 quarters of the CY for each facility
selected to participate in the study.
Specifically, for PY 2021, we are
proposing to increase the number of
facilities that we would select for
validation to 150, and then for PY 2022,
to increase that number to 300. With
respect to the number of patient records
that each selected facility would be
required to submit to avoid a 10 point
deduction to its TPS for that payment
year, we are proposing that for both PY
2021 and PY 2022, each selected facility
must submit 20 patient records per
quarter for each of the first 2 quarters of
the CY, within 60 calendar days of
receiving a request. We are also
proposing to continue targeted
validation.
We seek comments on these
proposals. We also seek comments on
potential future policy proposals that
would encourage accurate,
comprehensive reporting to the NHSN,
such as introducing a penalty for
facilities that do not meet an established
reporting or data accuracy threshold,
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introducing a bonus for facilities that
perform above an established reporting
or data accuracy threshold, developing
targeted education on NHSN reporting,
or requiring that a facility selected for
validation that does not meet an
established reporting or data accuracy
threshold be selected again the next
year.
C. Proposed Requirements for the PY
2022 ESRD QIP
1. Proposed Continuing and New
Measures for the PY 2022 ESRD QIP
If our proposal to remove four
measures beginning with the PY 2021
ESRD QIP is finalized, the PY 2021
ESRD QIP measure set would have 12
measures. In the CY 2013 ESRD PPS
final rule, we finalized that once a
quality measure is selected and
finalized for the ESRD QIP through
rulemaking, the measure would
continue to remain part of the Program
for all future years, unless we remove or
replace it through rulemaking or
notification (if the measure raises
potential safety concerns) (77 FR
67475). In addition to continuing all of
the measures included in the PY 2021
ESRD QIP, we are proposing to adopt
two new measures beginning with the
PY 2022 ESRD QIP: Percentage of
Prevalent Patients Waitlisted clinical
measure and the Medication
Reconciliation for Patients Receiving
Care at Dialysis Facilities reporting
measure.
a. Proposed Percentage of Prevalent
Patients Waitlisted (PPPW) Clinical
Measure
We are proposing to add one new
transplant clinical measure to the ESRD
QIP measure set beginning with PY
2022: (1) Percentage of Prevalent
Patients Waitlisted (PPPW). The
proposed new PPPW measure would
align the ESRD QIP more closely with
a Meaningful Measures Initiative
priority area—increased focus on
effective communication and
coordination. The proposed measure
assesses the percentage of patients at
each dialysis facility who were on the
kidney or kidney-pancreas transplant
waitlist.
sradovich on DSK3GMQ082PROD with PROPOSALS2
Background
The benefits of kidney transplantation
over dialysis as a modality for renal
replacement therapy for patients with
ESRD are well established. Although no
clinical trials comparing the two have
ever been done due to ethical
considerations, a large number of
observational studies have been
conducted demonstrating improved
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survival and quality of life with kidney
transplantation.11 Despite the benefits of
kidney transplantation, the total number
of transplants performed in the U.S. has
stagnated since 2006.12 There is also
wide variability in transplant rates
across ESRD networks.13 Given the
importance of kidney transplantation to
patient survival and quality of life, as
well as the variability in waitlist rates
among facilities, a measure to encourage
facilities to coordinate care with
transplant centers to waitlist patients is
warranted.
This measure emphasizes shared
accountability between dialysis
facilities and transplant centers.
Data Sources
The proposed PPPW measure uses
CROWNWeb data to calculate the
denominator, including the risk
adjustment and exclusions. The Organ
Procurement and Transplant Network
(OPTN) is the data source for the
numerator (patients who are waitlisted.)
The OPTN is a public-private
partnership established by the National
Organ Transplant Act in 1984. The
private nonprofit organization, United
Network for Organ Sharing (UNOS)
handles administration of the waitlist
under a contract with the federal
government. The Nursing Home
Minimum Dataset and Questions 17u
and 22 on the Medical Evidence Form
CMS–2728 are used to identify ESRD
patients who were admitted to a skilled
nursing facility (SNF) because those
patients are excluded from the measure.
A separate CMS file that contains final
action claims submitted by hospice
providers is used to identify ESRD
patients who have been admitted to
hospice because those patients are also
excluded from the measure.
Outcome
The PPPW measure tracks the
percentage of patients attributed to each
dialysis facility during a 12-month
period who were on the kidney or
kidney-pancreas transplant waitlist. The
measure is a directly standardized
percentage, in that each facility’s
percentage of kidney transplant patients
11 Tonelli M, Wiebe N, Knoll G, et al. Systematic
review: Kidney transplantation compared with
dialysis in clinically relevant outcomes. American
Journal of Transplantation 2011 Oct; 11(10): 2093–
2109.
12 Schold JD, Buccini LD, Goldfarb DA, et al.
Association between kidney transplant center
performance and the survival benefit of
transplantation versus dialysis. Clin J Am Soc
Nephrol. 2014 Oct 7; 9(10):1773–80.
13 Patzer RE, Plantinga L, Krisher J, Pastan SO.
Dialysis facility and network factors associated with
low kidney transplantation rates among United
States dialysis facilities. Am J Transplant. 2014 Jul;
14(7):1562–72.
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on the kidney transplant waitlist is
based on the number of patients one
would expect to be waitlisted for a
facility with patients of similar age and
co-morbidities.
Cohort
The PPPW measure includes ESRD
patients who are under the age of 75 on
the last day of each month and who are
attributed to the dialysis facility. We
create a treatment history file using a
combination of Medicare dialysis
claims, the Medical Evidence Form
CMS–2728, and data from CROWNWeb
as the data source for the facility
attribution. This file provides a
complete history of the status, location,
and dialysis treatment modality of an
ESRD patient from the date of the first
ESRD service until the patient dies or
until the measurement period ends. For
each patient, a new record is created
each time he or she changes facility or
treatment modality. Each record
represents a time period associated with
a specific modality and dialysis facility.
Each patient-month is assigned to only
one facility. A patient could be counted
up to 12 times in a 12-month reporting
period, and home dialysis is included.
Inclusion and Exclusion Criteria
The PPPW measure excludes patients
75 years of age or older on the last day
of each month. Additionally, patients
who are admitted to a SNF or hospice
during on the date that the monthly
count takes place are excluded from the
denominator for that month. An eligible
monthly patient count takes place on
the last day of each month during the
performance period.
Risk Adjustment
The PPPW measure is adjusted for
patient age. The measure is a directly
standardized percentage, in the sense
that each facility’s percentage of
patients on the waitlist is adjusted to the
national age distribution. Further
information on the risk adjustment
model can be found in the PPPW
Methodology Report (https://
www.cms.gov/Medicare/QualityInitiatives-Patient-AssessmentInstruments/ESRDQIP/061_Technical
Specifications.html). We assume a
logistic regression model for the
probability that a prevalent patient is
waitlisted.
2017 Measures Application Partnership
Review
We submitted the PPPW measure to
the Measures Application Partnership in
2017 for consideration as part of the prerulemaking process, and Measures
Application Partnership’s final
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recommendations may be found at
https://www.qualityforum.org/WorkArea/
linkit.aspx?LinkIdentifier=id&ItemID=
86972.
The Measures Application
Partnership expressed conditional
support for the PPPW measure for
inclusion in the ESRD QIP. The
Measures Application Partnership
acknowledged that the measure
addresses an important quality gap in
dialysis facilities, but discussed a
number of factors that it believed should
be balanced when implementing the
measure. The Measures Application
Partnership reiterated the critical need
to help patients receive kidney
transplants to improve their quality of
life and reduce their risk of mortality.
The Measures Application Partnership
also noted that there are disparities in
the receipt of kidney transplants and
there is a need to incentivize dialysis
facilities to educate patients about
waitlisting processes and requirements.
The Measures Application Partnership
also acknowledged that a patient’s
suitability to be waitlisted may not be
within the control of a dialysis facility
or transplant centers. The Measures
Application Partnership also noted the
need to ensure that the measure is
appropriately risk-adjusted and
recommended that CMS explore
whether it would be appropriate to
adjustment the measure for social risk
factors and proper risk model
performance. The Measures Application
Partnership conditionally supported the
measure with the condition that CMS
submit it to the NQF for consideration
of endorsement. Specifically, the
Measures Application Partnership
recommended that this measure be
reviewed by NQF’s Scientific Methods
Panel as well the Renal Standing
Committee. The Measures Application
Partnership recommended that as part
of the endorsement process, the NQF
examine the validity of the measure,
particularly the risk adjustment model
and if it appropriately accounts for
social risk. Finally, the Measures
Application Partnership noted the need
for the Disparities Standing Committee
to provide guidance on potential health
equity concerns.
In response to these
recommendations, we have submitted
the measure to the NQF for
consideration of endorsement, and our
understanding is that it will be
evaluated by all of the committees that
the Measures Application Partnership
suggested. We note further that access to
transplantation is a known area of
disparity and has a known performance
gap, and the Measures Application
Partnership coordinating committee
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expressed strong support for the
measure.
For additional information on the
Measures Application Partnership’s
evaluation of measures for the ESRD
QIP, we refer readers to Measures
Application Partnership’s website at:
https://www.qualityforum.org/WorkArea/
linkit.aspx?LinkIdentifier=
id&ItemID=86972.
Based on the benefits of kidney
transplantation over dialysis as a
modality for renal replacement therapy
for patients with ESRD, and taking into
account the Measures Application
Partnership’s conditional endorsement
and our submission of the measure to
the NQF for consideration of
endorsement, we propose to adopt the
PPPW measure beginning with the PY
2022 ESRD QIP. We note also that there
are currently no NQF-endorsed
transplant measures that we could have
considered, and that we believe we
should adopt this measure under
section 1881(h)(2)(B)(ii) of the Act due
to its clinical significance for the ESRD
patient population.
We welcome comments on this
proposal.
b. Proposed New Medication
Reconciliation for Patients Receiving
Care at Dialysis Facilities (MedRec)
Reporting Measure
We are proposing to adopt the New
Medication Reconciliation for Patients
Receiving Care at Dialysis Facilities
(MedRec) reporting measure for the
ESRD QIP measure set, beginning with
PY 2022. The MedRec measure assesses
whether a facility has appropriately
evaluated a patient’s medications, an
important safety concern for the ESRD
patient population because those
patients typically take a large number of
medications. Inclusion of the MedRec
measure in the ESRD QIP measure set
would align with the Meaningful
Measure Initiative priority area of
making care safer by reducing harm
caused by care delivery.
Medication management is a critical
safety issue for all patients, but
especially for patients with ESRD, who
are often prescribed 10 or more
medications simultaneously, take an
average of 17 to 25 doses per day, have
numerous comorbid conditions, have
multiple healthcare providers and
prescribers, and undergo frequent
medication regimen changes.14
Medication-related problems contribute
significantly to the approximately $40
billion in public and private funds spent
14 Cardone KE, Bacchus S, Assimon MM, Pai AB,
Manley HJ. Medication-related problems in CKD.
Adv Chronic Kidney Dis. 2010;17(5):404–412.
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annually on ESRD care in the U.S.; for
patients with chronic kidney disease
alone, this figure is $10 billion.15 We
believe that medication management
practices focusing on medication
documentation, review, and
reconciliation could systematically
identify and resolve medication-related
problems, improve ESRD patient
outcomes, and reduce total costs of care.
Data Sources
The proposed MedRec measure is
calculated using administrative claims
and electronic clinical data from
CROWNWeb, and facility medical
records. For additional information on
the measure, we refer readers to the
measure steward’s website; the Kidney
Care Quality Alliance (KCQA): https://
kidneycarepartners.com/wp-content/
uploads/2014/11/tbKCQA_NQF
endorsedSpecs10-26-17.pdf. The KCQA
is funded by Kidney Care Partners
(KCP), a coalition of patient advocates,
dialysis professionals, care providers,
and manufacturers, and was established
in 2005 as an independent organization
for the purpose of developing quality
measures for use in the dialysis setting
of care.
Outcome
The outcome of the MedRec measure
is the provision of medication
reconciliation services and their
documentation by an eligible
professional for patients attributed to
dialysis facilities each month.
Cohort
The MedRec measure includes all
patients attributed to a dialysis facility
during each month of the performance
period. The numerator is the number of
patient-months for which medication
reconciliation was performed and
documented by an eligible professional
during the reporting period. The
denominator statement is the total
number of eligible patient-months for all
patients attributed to a dialysis facility
during the reporting period.
Inclusion and Exclusion Criteria
The MedRec measure excludes incenter patients who receive less than 7
hemodialysis treatments in the facility
during the reporting month.
Risk Adjustment
The MedRec measure is not riskadjusted because it is process measure.
15 Parker WM and Cardone KE. Medication
Management Services in a Dialysis Center: Patient
and Dialysis Staff Perspectives. Albany College of
Pharmacy and Health Services. January 2015.
Available at: https://www.acphs.edu. Accessed
March 22, 2016.
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sradovich on DSK3GMQ082PROD with PROPOSALS2
2017 Measures Application Partnership
Review
We submitted the MedRec measure to
the Measures Application Partnership in
2017 for consideration as part of the prerulemaking process, and the Measures
Application Partnership addressed the
measure in its February 2018 Hospital
Workgroup report.16 The Measures
Application Partnership supported the
measure for the ESRD QIP, noting that
the measure is NQF-endorsed and
addresses both patient safety and care
coordination. The Measures Application
Partnership also noted that the topic of
medication reconciliation is currently a
gap area in the ESRD QIP’s measure set
and that the measure has broad support
across stakeholders. The Measures
Application Partnership emphasized
that medication reconciliation is an
important issue for ESRD patients who
see multiple clinicians and may require
numerous medications. The Measures
Application Partnership noted that
administration of the wrong medication
can have grave consequences for an
ESRD patient.
For additional information on the
Measures Application Partnership’s
evaluation of measures for the ESRD
QIP, we refer readers to the Measures
Application Partnership’s website at:
https://www.qualityforum.org/Setting_
Priorities/Partnership/Measure_
Applications_Partnership.aspx.
We agree with the Measures
Application Partnership’s assessment
that the MedRec measure is appropriate
for the ESRD QIP because medication
reconciliation is currently a gap area in
the Program’s measure set and is an
important issue for ESRD patients who
receive care from multiple clinicians
and providers and may require
numerous medications. ESRD patients
can be significantly harmed by
medication administration errors. We
continue to believe that care
coordination is a critical quality
improvement topic. We therefore,
propose to adopt the MedRec measure
beginning with the PY 2022 ESRD QIP
and to place the measure into the
Patient Safety Domain. We note further
that, as required by section
1881(h)(2)(B)(i) of the Act, CMS is
required to use endorsed measures in
the ESRD QIP unless the exception at
section 1881(h)(2)(B)(ii) of the Act
applies. The MedRec measure is
endorsed by NQF as #2988.
16 Available at: https://www.qualityforum.org/
Publications/2018/02/2018_Considerations_for_
Implementing_Measures_Final_Report_-_
Hospitals.aspx.
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2. Proposed Performance Period for the
PY 2022 ESRD QIP
We propose to establish CY 2020 as
the performance period for the PY 2022
ESRD QIP for all measures. We continue
to believe that a 12-month performance
period provides us sufficiently reliable
quality measure data for the ESRD QIP.
We welcome comment on this
proposal.
3. Proposed Performance Standards,
Achievement Thresholds, and
Benchmarks for the PY 2022 ESRD QIP
and Subsequent Years
Section 1881(h)(4)(A) of the Act
provides that ‘‘the Secretary shall
establish performance standards with
respect to measures elected . . . for a
performance period with respect to a
year.’’ Section 1881(h)(4)(B) of the
Social Security Act (the Act) further
provides that the ‘‘performance
standards . . . shall include levels of
achievement and improvement, as
determined appropriate by the
Secretary.’’ We use the performance
standards to establish the minimum
score a facility must achieve to avoid a
Medicare payment reduction.
a. Proposed Performance Standards,
Achievement Thresholds, and
Benchmarks for Clinical Measures in the
PY 2022 ESRD QIP
For the same reasons stated in the CY
2013 ESRD PPS final rule (77 FR 67500
through 76502), we are proposing for PY
2022 to set the performance standards,
achievement thresholds, and
benchmarks for the clinical measures
(including the proposed PPPW measure)
at the 50th, 15th, and 90th percentile,
respectively, of the national
performance in CY 2018. We are also
proposing to apply these performance
standards to all clinical measures we
use for the ESRD QIP in future payment
years. We welcome comment on these
proposals.
At this time, we do not have the
necessary data to assign numerical
values to the proposed performance
standards for the clinical measures
because we do not yet have data from
CY 2018 or the first period of CY 2019.
We intend to publish these numerical
values, using data from CY 2018 and the
first portion of CY 2019, in the CY 2019
ESRD PPS final rule.
b. Proposed Performance Standards for
the PY 2022 Reporting Measures
In the CY 2016 ESRD PPS final rule,
we finalized performance standards for
the Screening for Clinical Depression
and Follow-Up reporting measure (79
FR 66209). In the CY 2017 ESRD PPS
final rule, we finalized performance
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standards for the Ultrafiltration Rate
reporting measure (81 FR 77916) and
the NHSN Dialysis Event reporting
measure (81 FR 77916). We propose to
continue use of these performance
standards for these reporting measures
for the PY 2022 and future payment
years.
For the proposed MedRec reporting
measure, we propose to set the
performance standard for PY 2022 and
future payment years as successfully
reporting the following data elements
for the measure to CROWNWeb, for
each qualifying patient, on a monthly
basis, during the performance period:
(1) The date that the facility completed
the medication reconciliation, (2) the
type of clinician who completed the
medication reconciliation, and (3) the
name of the clinician.
We welcome comments on these
proposals.
4. Proposals for Scoring the PY 2022
ESRD QIP and Subsequent Years
a. Proposal To Score Facility
Performance on Clinical Measures
Based on Achievement
In the CY 2014 ESRD PPS final rule,
we finalized a policy for scoring
performance on clinical measures based
on achievement (78 FR 72215). We
propose to use this methodology for
scoring achievement for each clinical
measure, including the proposed PPPW
measure, for the PY 2022 ESRD QIP and
for future program years.
b. Proposal To Score Facility
Performance on Clinical Measures
Based on Improvement
In the CY 2014 ESRD PPS final rule,
we finalized a policy for scoring
performance on clinical measures based
on improvement (78 FR 72215 through
72216). For the PY 2022 ESRD QIP, we
propose to continue that policy,
defining the improvement threshold as
the facility’s performance on the
measure during the baseline period
(which for PY 2022, would be CY 2019).
The facility’s improvement score would
be calculated by comparing its
performance on the measure during CY
2020 (the proposed performance period)
to the improvement threshold and
benchmark. We also propose to use this
same methodology for scoring the PPPW
measure proposed in section IV.C.1.a of
this proposed rule. Finally, we propose
to continue this policy for subsequent
years of the ESRD QIP.
c. Scoring Facility Performance on
Reporting Measures
In the CY 2015 ESRD PPS final rule,
we finalized policies for scoring
performance on the Clinical Depression
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Screening and Follow-Up reporting
measures in the ESRD QIP (79 FR 66210
through 66211). In the CY 2017 ESRD
PPS final rule, we finalized policies for
scoring performance on the
Ultrafiltration Rate reporting measure
(81 FR 77917). We propose to continue
use of these policies for the two
continuing reporting measures for the
PY 2022 ESRD QIP and subsequent
years.
For the PY 2022 ESRD QIP, we
propose to score facilities with a CCN
Open Date before January 1st of the
performance period year (which, for the
PY 2022 ESRD QIP, would be 2020) on
the proposed MedRec measure using a
formula similar to the one previously
finalized for the Ultrafiltration Rate
reporting measure (81 FR 77917):
((# patient-months successfully
reporting data)/(# eligible patientmonths)*12)–2)
As with the Ultrafiltration Rate
reporting measure, we would round the
result of this formula (with half rounded
up) to generate a measure score from 0–
10. We also propose to score facilities
using this methodology for subsequent
years of the ESRD QIP.
We welcome public comment on all
of these scoring proposals.
d. Scoring the ICH CAHPS Clinical
Measure
In the CY 2015 ESRD PPS final rule,
we finalized a policy for scoring
performance on the ICH CAHPS clinical
measure based on both achievement and
improvement (79 FR 66209 through
66210). We are proposing to use this
scoring methodology for the PY 2022
ESRD QIP and subsequent years.
We welcome comments on this
scoring proposal.
5. Proposals for Weighting the Measure
Domains, and for Weighting the TPS for
PY 2022
For PY 2022, we are proposing to
continue use of the domain weights
proposed for PY 2021 in section IV.B.3
of this proposed rule, and to update the
individual measure weights in the Care
Coordination Domain and Safety
Domain to reflect the introduction of
one new proposed measure in each of
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those domains. We are proposing to
assign the proposed PPPW measure to
the Care Coordination Domain, with a
weight of 4 percent of the TPS. To
accommodate the addition of the PPPW
measure to the Care Coordination
Domain without having to adjust the
domain’s overall weight, we are
proposing to reduce the weight of two
continuing measures in the Care
Coordination Domain as follows: The
SRR measure from 14 to 12 percent and
the SHR measure from 14 to 12 percent.
We are proposing to assign the proposed
MedRec measure to the Safety Domain,
with a weight of 4 percent of the TPS
(see Table 17). To accommodate the
addition of the new MedRec measure to
the Safety Domain without having to
adjust the domain’s overall weight, we
are proposing to reduce the weight of
two continuing measures in the Safety
Domain as follows: The NHSN BSI
clinical measure from 9 to 8 percent and
the NHSN Dialysis Event measure from
6 to 3 percent. To assign these proposed
measure weights, we used the same
rationale as proposed for PY 2021.
TABLE 17—PROPOSED REVISIONS TO MEASURE WEIGHTS FOR THE PY 2022 ESRD QIP
Measure weight within the domain
(proposed for PY 2022)
Measures/measure topics by subdomain
Measure weight as percent of TPS
(proposed for PY 2022)
CARE COORDINATION MEASURE DOMAIN
SRR measure ..........................................................................................
SHR measure ..........................................................................................
PPPW measure .......................................................................................
Clinical Depression and Follow-Up reporting measure ..........................
40.00% ...........................................
40.00 ..............................................
13.33 ..............................................
6.67 ................................................
12.00%.
12.00.
4.00.
2.00.
TOTAL: CARE COORDINATION MEASURE DOMAIN ..................
100% of Care Coordination Measure Domain.
30% of TPS.
SAFETY MEASURE DOMAIN
MedRec measure ....................................................................................
NHSN BSI clinical measure ....................................................................
NHSN Dialysis Event reporting measure ................................................
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TOTAL: SAFETY MEASURE DOMAIN ...........................................
In section IV.B.3.b of this proposed
rule, we propose that to be eligible to
receive a TPS, a facility must be eligible
to be scored on at least one measure in
two of the four measure domains. If that
proposal is finalized, we would apply it
to PY 2022 and subsequent payment
years.
We seek comments on these
proposals.
6. Eligibility Proposals for the PY 2022
ESRD QIP and Subsequent Payment
Years
Our policy is to score facilities on
clinical and reporting measures for
which they have a minimum number of
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26.67 ..............................................
53.33 ..............................................
20.00 ..............................................
4.00.
8.00.
3.00.
100% of Safety Measure Domain.
15% of TPS.
qualifying patients during the
performance period (77 FR 67510
through 67512). We propose to continue
use of these minimum data policies for
the PY 2022 ESRD QIP measure set and
in subsequent years. We are also
proposing to use these same minimum
data policies for the proposed PPPW
measure and proposed MedRec measure
for the PY 2022 ESRD QIP and
subsequent years.
We seek comment on these proposals.
7. Payment Reductions for the PY 2022
ESRD QIP
Section 1881(h)(3)(A)(ii) of the Act
requires the Secretary to ensure that the
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application of the scoring methodology
results in an appropriate distribution
across facilities, such that facilities
achieving the lowest TPSs receive the
largest payment reductions. For
additional information on payment
reduction policies, we refer readers to
the CY 2018 ESRD PPS final rule (82 FR
50787 through 50788).
Because we are not yet able to
calculate the performance standards for
each of the clinical measures, we are
also not able to calculate a proposed
minimum TPS at this time. In the CY
2020 ESRD PPS proposed rule, we will
propose the minimum TPS, based on CY
2018 data.
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D. Proposed Requirements Beginning
With the PY 2024 ESRD QIP
1. Proposed New Standardized First
Kidney Transplant Waitlist Ratio for
Incident Dialysis Patients Clinical
Measure
We are proposing to add one new
transplant measure to the ESRD QIP
measure set beginning with PY 2024:
Standardized First Kidney Transplant
Waitlist Ratio for Incident Dialysis
Patients (SWR). The proposed new SWR
measure would align the ESRD QIP
more closely with the Meaningful
Measures Initiative priority area of
increased focus on effective
communication and coordination. The
SWR Measure assesses the number of
patients who are placed on the
transplant waitlist or receive a living
donor kidney within one year of the
date when dialysis is initiated. We
believe this measure would encourage
facilities to more rapidly evaluate
patients for transplant and coordinate
the waitlisting of those patients.17
Because the proposed SWR measure is
limited to patients in their first year of
dialysis, it is more limited in scope than
the proposed PPPW measure, which
includes patients who have been on
dialysis for longer than 1 year. We are
proposing to introduce the SWR
measure for PY 2024 rather than PY
2022 because the proposed SWR
measure is calculated using 3 years of
data.
sradovich on DSK3GMQ082PROD with PROPOSALS2
Data Sources
The SWR Measure is calculated using
administrative claims and electronic
clinical data. CROWNWeb is the
primary source used to attribute patients
to dialysis facilities and dialysis claims
are used as an additional source.
Information regarding onset of ESRD,
the first ESRD treatment date, death,
and transplant is obtained from
CROWNWeb (including the Medical
Evidence Form CMS–2728 and the
Death Notification Form CMS–2746)
and Medicare claims, as well as the
Organ Procurement and Transplant
Network.
Outcome
The SWR Measure tracks the number
of incident patients attributed to the
dialysis facility under the age of 75
listed on the kidney or kidney-pancreas
17 Meier-Kriesche, Herwig-Ulf, and Bruce Kaplan.
‘‘Waiting time on dialysis as the strongest
modifiable risk factor for renal transplant outcomes:
A Paired Donor Kidney Analysis1.’’ Transplantation
74.10 (2002): 1377–1381; Meier-Kriesche, H. U.,
Port, F. K., Ojo, A. O., Rudich, S. M., Hanson, J. A.,
Cibrik, D. M., Leichtman, A. B & Kaplan, B. (2000).
Effect of waiting time on renal transplant outcome.
Kidney international, 58(3), 1311–1317.
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transplant waitlist or who received
living donor transplants within the first
year of initiating dialysis. Similar to the
PPPW measure, the SWR measure
emphasizes shared accountability
between dialysis facilities and
transplant centers.
Cohort
The SWR measure includes patients
under the age of 75 and attributed to the
dialysis facility using CROWNWeb data
and Medicare claims who are listed on
the kidney or kidney-pancreas
transplant waitlist or who received
living donor transplants within the first
year of initiating dialysis. Patients are
attributed to the dialysis facility listed
on the Medical Evidence Form CMS–
2728.
Inclusion and Exclusion Criteria
The SWR measure excludes patients
at the facility who were 75 years of age
or older at initiation of dialysis and
patients at the facility who were listed
on the kidney or kidney-pancreas
transplant waitlist prior to the start of
dialysis. Additionally, patients who are
admitted to a SNF or hospice at the time
of initiation of dialysis are excluded.
Risk Adjustment
The SWR measure is adjusted for
incident comorbidities and age. Incident
comorbidities were selected for
adjustment into the SWR model based
on demonstration of a higher associated
mortality (hazard ratio above 1.0) and
statistical significance (p-value in first
year mortality model). More details
about the risk adjustment model can be
found in the SWR Methodology Report
(https://www.cms.gov/Medicare/
Quality-Initiatives-Patient-AssessmentInstruments/ESRDQIP/061_Technical
Specifications.html).
2017 Measures Application Partnership
Review
We submitted the SWR measure to the
Measures Application Partnership in
2017 for consideration as part of the prerulemaking process.
In its report (available on its website
at: https://www.qualityforum.org/
WorkArea/linkit.aspx?LinkIdentifier=
id&ItemID=86972), the Measures
Application Partnership acknowledged
that the SWR measure addresses an
important quality gap for dialysis
facilities and discussed a number of
factors that it believed should be
balanced when implementing the
measure. The Measures Application
Partnership reiterated the critical need
to help patients receive kidney
transplants to improve their quality of
life and reduce their risk of mortality.
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The Measures Application Partnership
also noted there are disparities in the
receipt of kidney transplants and there
is a need to incentivize dialysis facilities
to educate patients about waitlist
processes and requirements. The
Measures Application Partnership also
acknowledged concerns and public
comment about the locus of control of
the measure, where dialysis facilities
may not be able to as adequately
influence a patient’s suitability to be
waitlisted as well as the transplant
center. The Measures Application
Partnership also noted the need to
ensure the measure is appropriately
risk-adjusted and recommended the
exploration of adjustment for social risk
factors and proper risk model
performance. The Measures Application
Partnership ultimately conditionally
supported the measure with the
condition that it is submitted for NQF
review and endorsement. Specifically,
the Measures Application Partnership
recommended that this measure be
reviewed by the NQF Scientific
Methods Panel as well the Renal
Standing Committee. The Measures
Application Partnership recommended
the endorsement process examine the
validity of the measure, particularly the
risk adjustment model and if it
appropriately accounts for social risk.
Finally, the Measures Application
Partnership noted the need for the
Disparities Standing Committee to
provide guidance on potential health
equity concerns. Our understanding is
that the NQF endorsement process
covers all of the Measure Application
Partnership’s conditions, and we have
submitted the measure for endorsement.
For additional information on the
Measures Application Partnership’s
evaluation of measures for the ESRD
QIP, we refer readers to Measures
Application Partnership’s website at:
https://www.qualityforum.org/WorkArea/
linkit.aspx?LinkIdentifier=id&ItemID=
86972.
Based on the benefits of kidney
transplantation over dialysis as a
modality for renal replacement therapy
for patients with ESRD, and taking into
account the Measures Application
Partnership’s conditional endorsement
and our submission of the measure for
NQF endorsement, we propose to adopt
the SWR measure beginning with the PY
2024 ESRD QIP. We also propose to
place this measure in the Transplant
Waitlist measure topic in the Care
Coordination Domain, along with the
PPPW measure proposed in section
IV.C.1.a of this proposed rule, and to
score the two measures accordingly as a
measure topic. We note also that there
are currently no NQF-endorsed
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transplant measures that we could have
considered, and we believe that we
should adopt this measure under
section 1881(h)(2)(B)(ii) of the Act due
to its clinical significance for the ESRD
patient population.
We welcome comments on these
proposals.
2. Proposed Performance Period for the
SWR Measure
Because the SWR measure is
calculated using 36 months of data, we
propose to establish a 36-month
performance period for the proposed
SWR measure. With respect to PY 2024
ESRD QIP, this period would be CY
2019 through 2021. We believe that a
36-month performance period for the
SWR measure would enable us to
calculate sufficiently reliable measure
data for the ESRD QIP.
a. Proposed Performance Standards,
Achievement Thresholds, and
Benchmarks for the SWR Measure in the
PY 2024 ESRD QIP
If our proposal in section IV.D.1 of
this proposed rule is finalized, then we
would score the proposed SWR measure
using a 36-month performance period
for purposes of achievement and a
corresponding 36-month baseline period
for purposes of improvement. For the
PY 2024 ESRD QIP, these periods would
be CY 2017 through 2019 for
achievement and CY 2018 through 2020
for improvement.
At this time, we do not have the
necessary data to assign numerical
values to the performance standards for
the SWR measure, because we do not
yet have data from CY 2017 through CY
2020.
V. Changes to the Durable Medical
Equipment, Prosthetics, Orthotics, and
Supplies (DMEPOS) Competitive
Bidding Program (CBP)
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A. Background
Section 1847(a) of the Social Security
Act (the Act), as amended by section
302(b)(1) of the Medicare Prescription
Drug, Improvement, and Modernization
Act of 2003 (MMA) (Pub. L. 108–173),
requires the Secretary of the Department
of Health and Human Services (the
Secretary) to establish and implement
competitive bidding programs in
competitive bidding areas (CBAs)
throughout the United States (U.S.) for
contract award purposes for the
furnishing of certain competitively
priced DMEPOS items and services. The
competitive bidding programs of the
Medicare Durable Medical Equipment
Prosthetics Orthotics and Supplies
(DMEPOS) Competitive Bidding
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Program (CBP), mandated by section
1847(a) of the Act, are collectively
referred to as ‘‘DMEPOS CBP’’. A final
rule published on April 10, 2007 in the
Federal Register, titled ‘‘Competitive
Acquisition for Certain DMEPOS and
Other Issues’’, (72 FR 17992), referred to
as ‘‘2007 DMEPOS final rule’’,
established competitive bidding
programs for certain Medicare Part B
covered items of DMEPOS throughout
the U.S. The competitive bidding
programs, which were phased in over
several years, utilize bids submitted by
DMEPOS suppliers to establish
applicable payment amounts under
Medicare Part B for certain DMEPOS
items and services. Section 1847(a)(2) of
the Act describes the items and services
subject to the DMEPOS CBP:
• Off-the-shelf (OTS) orthotics for
which payment would otherwise be
made under section 1834(h) of the Act.
• Enteral nutrients, equipment and
supplies described in section
1842(s)(2)(D) of the Act.
• Certain DME and medical supplies,
which are covered items (as defined in
section 1834(a)(13) of the Act) for which
payment would otherwise be made
under section 1834(a) of the Act.
The DMEPOS CBP was modeled after
successful demonstration programs from
the late 1990s and early 2000s,
discussed in the proposed rule
published on May 1, 2006 in the
Federal Register, titled ‘‘Competitive
Acquisition for Certain Durable Medical
Equipment, Prosthetics, Orthotics, and
Supplies (DMEPOS) and Other Issues’’
(71 FR 25654) referred to as ‘‘2006
DMEPOS proposed rule’’. We received
substantial advice in the development of
the DMEPOS CBP from the Program
Advisory and Oversight Committee
(PAOC), which was mandated through
section 1847(c) of the Act, as amended
by section 302(b)(1) of the MMA, to
establish a committee to provide advice
to the Secretary with respect to the
following functions:
• The implementation of the
Medicare DMEPOS CBP.
• The establishment of financial
standards for entities seeking contracts
under the Medicare DMEPOS CBP,
taking into account the needs of small
providers.
• The establishment of requirements
for collection of data for the efficient
management of the Medicare DMEPOS
CBP.
• The development of proposals for
efficient interaction among
manufacturers, providers of services,
suppliers (as defined in section 1861(d)
of the Act), and individuals.
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• The establishment of quality
standards for DMEPOS suppliers under
section 1834(a)(20) of the Act.
As authorized under section
1847(c)(2) of the Act, the PAOC
members were appointed by the
Secretary of the Department of Health
and Human Services (the Secretary) and
represented a broad mix of relevant
industry, consumer, and government
parties. The representatives had
expertise in a variety of subject matter
areas, including DMEPOS, competitive
bidding methodologies and processes,
and rural and urban marketplace
dynamics.
In the DMEPOS CBP, suppliers bid for
contracts for furnishing multiple items
and services, identified by Healthcare
Common Procedure Coding System
(HCPCS) codes, under several different
product categories. Section 1847(a)(1)(B)
and (D) of the Act mandated the phase
in of the DMEPOS CBP in nine of the
largest MSAs (Round 1), followed by 91
additional large MSAs (Round 2), and
finally in additional areas, which do not
necessarily need to be tied to MSAs.
Round 1 and Round 2 CBAs that
included more than one state have been
subdivided into state-specific CBAs.
The CBP is currently operating in 130
CBAs throughout the nation, and those
CBAs contain approximately half of the
enrolled Medicare Part B population.
The other half of the Medicare Part B
population resides in areas where the
CBP has not yet been phased in,
including approximately 275 MSAs. In
addition, CMS phased in a national mail
order program for diabetic testing
supplies in 2013. In the Round 1 2017
and Round 2 Recompete competitions,
the product categories currently
include: Enteral Nutrients, Equipment
and Supplies; General Home Equipment
and Related Supplies and Accessories
(including hospital beds, pressure
reducing support surfaces, commode
chairs, patient lifts, and seat lifts);
Nebulizers and Related Supplies;
Negative Pressure Wound Therapy
(NPWT) Pumps and Related Supplies
and Accessories; Respiratory Equipment
and Related Supplies and Accessories
(including oxygen and oxygen
equipment, continuous positive
pressure airway devices, and respiratory
assist devices); Standard Mobility
Equipment and Related Accessories
(including walkers, standard manual
wheelchairs, and standard power
wheelchairs); and Transcutaneous
Electrical Nerve Stimulation (TENS)
Devices and Supplies. Since there are
multiple items in each product category,
a ‘‘composite’’ bid is calculated for each
supplier to determine which supplier’s
bids would result in the greatest savings
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to Medicare for the product category. A
supplier’s composite bid for a product
category is calculated by multiplying a
supplier’s bid for each item in a product
category by the item’s weight and taking
the sum of these numbers across items.
The weight of an item is based on the
annual utilization of the individual item
compared to other items within that
product category based on recent
Medicare national claims data. Item
weights are used to reflect the relative
market importance of each item in the
product category. Item weights ensure
that the composite bid is directly
comparable to the costs that Medicare
would pay if it bought the expected
bundle of items in the product category
from the supplier. The sum of each
supplier’s weighted bids for every item
in a product category is the supplier’s
composite bid for that product category.
Each supplier submits a bid amount
for each item in the product category,
and multiple contracts must be awarded
for each product category in each CBA.
Section 1847(b)(5) of the Act mandates
a single payment amount (SPA) for each
item based on winning bids from
multiple suppliers, so various options
for calculating the SPA were addressed
in the 2006 DMEPOS proposed rule (71
FR 25679). The methods of using the
minimum winning bid amount for each
item, the maximum winning bid amount
for each item, the median of the
winning bid amounts for each item, and
an average adjusted price based on the
method used during the demonstrations
were considered during this rulemaking.
The SPA calculation method using the
median of the winning bids was
finalized in the 2007 DMEPOS final rule
(72 FR 18044) based on the rationale
that the median of winning bids
represents the bid amounts of the
winning suppliers as a whole, whereas
the minimum and maximum bids did
not; it is a simpler method than the
average adjusted price method; and it is
consistent with the longstanding
Medicare payment rules for DMEPOS
that established allowed payment
amounts based on average reasonable
charges rather than minimum or
maximum charges.
To implement section 522(a) of the
Medicare Access and Children’s Health
Insurance Program Reauthorization Act
of 2015 (Pub. L. 114–10) (MACRA), we
published a final rule on November 4,
2016 in the Federal Register, titled
‘‘End-Stage Renal Disease Prospective
Payment System, Coverage and Payment
for Renal Dialysis Services Furnished to
Individuals With Acute Kidney Injury,
End-Stage Renal Disease Quality
Incentive Program, Durable Medical
Equipment, Prosthetics, Orthotics and
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Supplies Competitive Bidding Program
Bid Surety Bonds, State Licensure and
Appeals Process for Breach of Contract
Actions, Durable Medical Equipment,
Prosthetics, Orthotics and Supplies
Competitive Bidding Program and Fee
Schedule Adjustments, Access to Care
Issues for Durable Medical Equipment;
and the Comprehensive End-Stage Renal
Disease Care Model’’ (81 FR 77834),
referred to as ‘‘2016 ESRD PPS final
rule’’.
Section 1847(a)(1)(G) of the Act, as
added by section 522(a) of MACRA,
requires bidding entities to secure a bid
surety bond by the deadline for bid
submission. Section 1847(a)(1)(G) of the
Act provides that, with respect to
rounds of competitions under section
1847 of the Act beginning not earlier
than January 1, 2017 and not later than
January 1, 2019, a bidding entity may
not submit a bid for a CBA unless, as of
the deadline for bid submission, the
entity has (1) obtained a bid surety
bond, in the range of $50,000 to
$100,000, in a form specified by the
Secretary consistent with paragraph (H)
of section 1847(a)(1) of the Act, and (2)
provided the Secretary with proof of
having obtained the bid surety bond for
each CBA in which the entity submits
its bid(s). We believe that section 522(a)
of MACRA was drafted under the
assumption that the next round of
competitive bidding would have been
implemented at some point between
January 1, 2017 and January 1, 2019. We
have interpreted section 522(a) of
MACRA as applying to the next round
of competitive bidding even though the
next round of competition will begin
after the time period specified in the
statute. Section 1847(a)(1)(H)(i) of the
Act provides that in the event that a
bidding entity is offered a contract for
any product category for a CBA, and its
composite bid for such product category
and area was at or below the median
composite bid rate for all bidding
entities included in the calculation of
the single payment amount(s) for the
product category and CBA, and the
entity does not accept the contract
offered, the bid surety bond(s) for the
applicable CBAs will be forfeited and
the Secretary will collect on the bid
surety bond(s). In instances where a
bidding entity does not meet the bid
bond forfeiture conditions for any
product category for a CBA as specified
in section 1847(a)(1)(H)(i) of the Act,
then the bid surety bond liability
submitted by the entity for the CBA will
be returned to the bidding entity within
90 days of the public announcement of
the contract suppliers for such product
category and area. As aforementioned,
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this requirement was implemented as
part of the CY 2016 ESRD PPS final rule
(81 FR 77834), so § 414.412(h) now
requires that bidding entities obtain bid
surety bonds, and if an entity is offered
a contract for any product category for
a CBA, and its composite bid for such
product category and area is at or below
the median composite bid rate for all
bidding entities included in the
calculation of the single payment
amounts for the product category/CBA
combination, and the entity does not
accept the contract offered, the bid
surety bond for the applicable CBA will
be forfeited and CMS will collect on the
bid surety bond via Electronic Funds
Transfer from the respective bonding
company. Further detailed conditions of
the surety bonds were also clarified in
the final rule (81 FR 77931). The bid
bond requirement is mentioned here in
the background section of this proposed
rule because bid bond forfeiture is tied
to composite bids under the DMEPOS
CBP, and this rule proposes to change
how composite bids are defined and to
implement lead item pricing under the
DMEPOS CBP.
Section 1847(b)(5) of the Act provides
that Medicare payment for
competitively bid items and services is
made on an assignment-related basis
and is equal to 80 percent of the
applicable SPA, less any unmet Part B
deductible described in section 1833(b)
of the Act. Section 1847(b)(2)(A)(iii) of
the Act prohibits the Secretary from
awarding a contract to an entity unless
the Secretary finds that the total
amounts to be paid to contractors in a
CBA are expected to be less than the
total amounts that would otherwise be
paid. The DMEPOS CBP also includes
provisions to ensure beneficiary access
to quality DMEPOS items and services.
Section 1847(b)(2)(A) of the Act directs
the Secretary to award contracts to
entities only after a finding that the
entities meet applicable quality and
financial standards and beneficiary
access to a choice of multiple suppliers
in the area is maintained, that is, more
than one contract supplier is available
for the product category in the area.
Sections 1847(b)(6)(A)(i) and
(b)(6)(A)(ii) of the Act provide that
payment will not be made under
Medicare Part B for items and services
furnished under the CBP unless the
supplier has submitted a bid to furnish
those items and has been awarded a
contract. Therefore, in order for a
supplier that furnishes competitively
bid items in a CBA to receive payment
for those items, the supplier must have
submitted a bid to furnish those
particular items and must have been
awarded a contract. In past rounds of
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competition, CMS has allowed a 60-day
bidding window for suppliers to prepare
and submit their bids. Our regulation at
§ 414.412 specifies the rules for
submission of bids under the DMEPOS
CBP. Each bid submission is evaluated
and contracts are awarded to qualified
suppliers in accordance with the
requirements of section 1847(b)(2) of the
Act and § 414.414, which specifies
conditions for awarding contacts. Under
the Round 2 and Round 1 Recompete
competitions, 92 percent of suppliers
accepted contract offers at the SPAs set
through the competitions. In addition,
CMS reviewed all contract suppliers
based on financial standards when
evaluating their bids. This process
includes review of tax records, credit
reports, and other financial data, which
leads to the calculation of a score,
similar to processes used by lenders
when evaluating the viability of a
company. All contract suppliers met the
financial standards established for the
program. Before awarding contracts,
each bid is screened and evaluated to
ensure that it is bona fide so that CMS
can verify that the supplier can provide
the product to the beneficiary for the bid
amount, and those that fail are excluded
from the competition. Approximately 94
percent of bids screened as part of the
Round 2 and Round 1 Recompete
competitions were determined to be
bona fide.
Section 1847(b)(6)(D) of the Act
requires that appropriate steps be taken
to ensure that small suppliers of items
and services have an opportunity to be
considered for participation in the
DMEPOS CBP. We have established a
number of provisions to ensure that
small suppliers are given an opportunity
to participate in the DMEPOS CBP. For
example, under § 414.414(g)(1)(i), we
have established a 30 percent target for
small supplier participation; thereby
ensuring efforts are made to award at
least 30 percent of contracts to small
suppliers. Also, CMS worked in
coordination with the Small Business
Administration and based on advice
from the PAOC to develop an
appropriate definition of ‘‘small
supplier’’ for this program. Under
§ 414.402, a small supplier is one that
generates gross revenues of $3.5 million
or less in annual receipts, including
Medicare and non-Medicare revenue.
Under § 414.418, small suppliers may
join together in ‘‘networks’’ in order to
submit bids that meet the various
program requirements. A majority of the
bids used in establishing SPAs come
from small suppliers with a history of
furnishing items in the CBAs.
B. Current Method for Submitting Bids
and Selecting Winners
In the DMEPOS CBP, CMS awards
contracts to suppliers for furnishing
multiple items and services needed in a
given CBA that fall under a product
category (for example, respiratory
equipment). The product categories are
mostly large and include multiple items
used for different purposes (for
example, the respiratory equipment
category includes oxygen equipment
and positive pressure airway devices
and multiple related accessories) based
on past feedback from stakeholders to
promote easy access for beneficiaries
and referral agents to receive all items
in a product category from one location,
and to prevent instances where a
supplier wins a contract for one product
category but loses the competitions for
several other product categories.
Because multiple bids for individual
items are submitted when competing to
become a contract supplier for the
product category of items and services
as a whole, it is necessary to calculate
a composite bid for each bidding
supplier to determine the lowest bids
for the category as a whole. In
accordance with § 414.402, a composite
bid means the sum of a supplier’s
weighted bids for all items within a
product category for purposes of
allowing a comparison across bidding
suppliers. Using a composite bid is a
way to aggregate a supplier’s bids for
individual items within a product
category into a single bid for the whole
product category.
In order to compute a composite bid,
a weight must be applied to each item
in the product category. The weight of
an item is based on the beneficiary
utilization or demand of the individual
item compared to other items within
that product category based on historic
Medicare claims. Item weights are used
to reflect the relative market importance
of each item in the product category.
Table 18 depicts the calculation of the
item weights for a supplier’s bid. The
expected volume for items A, B, and C
are 5, 3, and 2 units, respectively, for a
total volume of 10 units. The item
weight for item A is 0.5 (5/10), the
weight for item B is 0.3 (3/10), etc. The
total item weight for the supplier’s bid
is 1.
TABLE 18—ITEM WEIGHTS
Item
A
Units .................................................................................................................
Item Weight ......................................................................................................
The composite bid for a supplier
equals the item weight multiplied by the
item bid summed across all items in the
product category. For example, supplier
1 bid $1.00 for item A, $4.00 for item
B and $1.00 for item C. The composite
B
5
0.5
bid for Supplier 1 = (0.5 * $1.00) + (0.3
* $4.00) + (0.2 * $1.00) = 1.90. Table 19
shows the expected cost of the bundle
based on each supplier’s bids. The
expected costs are directly proportional
to the composite bids; the factor of
C
3
0.3
Total
2
0.2
10
1
proportionality is equal to the total
number of units (10) in the product
category. The composite bid is used to
determine the expected costs for all of
the items in the product category based
upon expected volume.
sradovich on DSK3GMQ082PROD with PROPOSALS2
TABLE 19—COMPOSITE BIDS BY SUPPLIER
Item
A
Units .....................................................................................
Item weight ...........................................................................
Supplier 1 bid .......................................................................
Supplier 2 bid .......................................................................
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B
5
0.5
$1.00
3.00
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C
3
0.3
$4.00
5.00
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Composite bid
2
0.2
$1.00
3.00
19JYP2
$1.90
3.60
Product
category bid
(cost of
bundle)
$19.00
36.00
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TABLE 19—COMPOSITE BIDS BY SUPPLIER—Continued
Item
Supplier
Supplier
Supplier
Supplier
Supplier
Supplier
Supplier
Supplier
Supplier
A
3 bid .......................................................................
4 bid .......................................................................
5 bid .......................................................................
6 bid .......................................................................
7 bid .......................................................................
8 bid .......................................................................
9 bid .......................................................................
10 bid .....................................................................
11 bid .....................................................................
After computing composite bids for
each supplier, a pivotal bid is
established for each product category in
each CBA. In accordance with
§ 414.402, pivotal bid means the lowest
composite bid based on bids submitted
by suppliers for a product category that
includes a sufficient number of
suppliers to meet beneficiary demand
for items in that category. As explained
in the 2007 DMEPOS final rule (72 FR
18039), demand for items and services
B
3.00
2.00
2.00
2.00
3.00
3.00
2.00
3.00
3.00
C
4.00
2.00
4.00
3.00
3.00
4.00
3.00
4.00
2.00
is projected using Medicare claims data
for allowed services during the previous
two years, trended forward to the
contract period. Table 20 shows the
pivotal bid is the point where expected
combined capacity of the bidders is
sufficient to meet expected demands of
beneficiaries for items in a product
category. In Table 20, the projected
demand is 1,800 units, therefore the
composite bid for supplier 7 represents
the pivotal bid, since the cumulative
Composite bid
3.00
2.00
2.00
2.00
2.00
2.00
3.00
1.00
3.00
3.30
2.00
2.60
2.30
2.80
3.10
2.50
2.90
2.70
Product
category bid
(cost of
bundle)
33.00
20.00
26.00
23.00
28.00
31.00
25.00
29.00
27.00
capacity of 1,845 would exceed the
projected demand of 1,800. As a result
of the determination of the pivotal bid,
suppliers 1, 4, 6, 9, 5, 11 and 7 are
selected as winning suppliers for the
product category in the CBA. However,
suppliers 10, 8, 3, and 2 are not selected
as winning suppliers for the product
category in the CBA and are eliminated
from the competition.
TABLE 20—DETERMINING THE PIVOTAL BID FOR PRODUCT CATEGORY POINT WHERE BENEFICIARY DEMAND (1,800) IS
MET BY SUPPLIER CAPACITY
Supplier No.1
Composite bid
1 .......................................................................................................................
4 .......................................................................................................................
6 .......................................................................................................................
9 .......................................................................................................................
5 .......................................................................................................................
11 .....................................................................................................................
7 .......................................................................................................................
10 .....................................................................................................................
8 .......................................................................................................................
3 .......................................................................................................................
2 .......................................................................................................................
1 By
$1.90
2.00
2.30
2.50
2.60
2.70
2.80
2.90
3.10
3.30
3.60
250
300
0
300
360
275
360
200
300
200
25
Cumulative
capacity
250
550
550
850
1,210
1,485
1,845
2,045
2,345
2,545
2,570
Result
Winning bid.
Winning bid.
Winning bid.
Winning bid.
Winning bid.
Winning bid.
Pivotal bid.
Losing bid.
Losing bid.
Losing bid.
Losing bid.
ascending composite bid.
C. Current Method for Establishing SPAs
sradovich on DSK3GMQ082PROD with PROPOSALS2
Supplier
capacity
For competitively bid items and
services furnished in a CBA, the SPAs
replace the Medicare allowed amounts
established using the lower of the
supplier’s actual charge or the payment
amount recognized under sections
1834(a)(2) through (7), 1834(h), and
1842(s) of the Act. We discussed various
options for determining the SPA for
individual items under the DMEPOS
CBP during the notice and comment
rulemaking conducted in 2006 and 2007
(71 FR 25653 and 72 FR 17992,
respectively), including using the
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minimum winning bid, using the
highest winning bid, using the median
of winning bids, and using an average
adjusted price methodology similar to
the methodology used in competitive
bidding demonstrations mandated by
section 4319 of the Balanced Budget Act
of 1997 (BBA) (Pub. L. 105–33). A
detailed discussion of the various
options considered for determining the
SPA for individual items under the
DMEPOS CBP can be found in the 2007
DMEPOS final rule (72 FR 17992, 18044
through 18047). Through rulemaking,
we finalized using the median of bids
submitted for each item by winning
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bidders in each CBA as the methodology
for establishing the SPA for each item in
each CBA.
Under the current methodology for
establishing SPAs at § 414.416, for
individual items within each product
category in each CBA, the median of the
winning bids for each item is used to
establish the SPA for that item in each
CBA. The individual items are
identified by the appropriate HCPCS
codes. In cases where there is an even
number of winning bids for an item, the
SPA is equal to the average (mean) of
the two bid prices in the middle of the
array. Table 21 illustrates this method.
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TABLE 21—MEDIAN OF THE WINNING BIDS METHODOLOGY
Item
A
Supplier 1 bid ...................................................................................................
Supplier 4 bid ...................................................................................................
Supplier 6 bid ...................................................................................................
Supplier 9 bid ...................................................................................................
Supplier 5 bid ...................................................................................................
Supplier 11 bid .................................................................................................
Supplier 7 bid (pivotal bid) ...............................................................................
Median/SPA .....................................................................................................
We stated in 2007 that we believed
that setting the SPA based on the
median of the winning bids satisfies the
statutory requirement that SPAs are to
be based on bids submitted and
accepted. We believed that this
methodology results in a single payment
for an item under a competitive bidding
program that is representative of all
acceptable bids, not just the highest or
the lowest of the winning bids for that
item. The median is also not influenced
by outliers at the extremes of the data
set. This methodology also has the
advantage of being easily understood by
bidding suppliers.
We received several comments on
determining the SPA as a part of the
rulemaking process for the 2007
DMEPOS final rule (72 FR 18046). Most
of the commenters disagreed with the
median bid methodology and supported
the average adjusted price methodology.
Numerous commenters suggested that
CMS use the average adjusted price
methodology that was used during the
BBA demonstrations because suppliers
were paid at least as much as they bid
in aggregate, and commenters believed
that the average adjusted price
methodology would provide sufficient
protections to encourage small suppliers
B
$1.00
2.00
2.00
2.00
2.00
3.00
3.00
2.00
to bid. Several commenters indicated
that if contract suppliers with bids
above the median amount cannot
furnish items and services at payment
amounts set below their bid amounts,
demand for items and services might
not be met and access to necessary items
and services would be impaired. The
commenters raised concerns that all
bids would be equal in terms of
establishing the median amount, and
bids from small suppliers that only
furnish a small percentage of the overall
demand for items and services would
have the same weight as bids from
suppliers that would be responsible for
furnishing the majority of the items and
services. Other commenters suggested
that the use of the median bid favors
large chain suppliers that deliver a large
volume of items and services.
The average adjusted price
methodology for establishing the SPA
for an item was discussed in the 2007
DMEPOS final rule (72 FR 18045). This
methodology involved using the average
of the winning bids adjusted up to the
point where the adjusted bids for each
supplier in the winning range equals the
level of the pivotal bid. This type of
methodology was used during the
competitive bidding demonstrations
Composite
bid
C
$4.00
2.00
3.00
3.00
4.00
2.00
3.00
3.00
$1.00
2.00
2.00
3.00
2.00
3.00
2.00
2.00
$1.90
2.00
2.30
2.50
2.60
2.70
2.80
........................
mandated by section 4319 of the BBA.
The first step of the methodology is to
calculate the average of the winning
bids per individual item. The second
step is to calculate the average of the
composite bids for the winning
suppliers by taking the sum of the
composite bids for all winning suppliers
in the applicable CBA and dividing by
the number of winning suppliers. The
third step determines an adjustment
factor by dividing the composite bid for
the pivotal bidder by the average
composite bid, and using this factor to
increase every winner’s overall bids for
a product category to the level of the
pivotal bidder’s composite bid. The
fourth step multiplies the average of the
winning bids per item by the adjustment
factor to adjust all bids up to the point
of the pivotal bid, so that all winners
would be paid for furnishing all items
and services in the product category (the
composite payment) equal to the
composite bid of the pivotal bidder.
This amount would become the SPA for
the individual item. This is the price
that all contract suppliers within a CBA
would be paid for that product as
illustrated in Table 22.
TABLE 22—AVERAGE ADJUSTED PRICE METHODOLOGY
sradovich on DSK3GMQ082PROD with PROPOSALS2
Item
A
Item weight ...........................................................................
Supplier 1 bid .......................................................................
Supplier 4 bid .......................................................................
Supplier 6 bid .......................................................................
Supplier 9 bid .......................................................................
Supplier 5 bid .......................................................................
Supplier 11 bid .....................................................................
Supplier 7 bid (pivotal bid) ...................................................
Average of winning bids ......................................................
Adjustment factor 2 ...............................................................
Average adjusted price/SPA ................................................
B
0.5
$1.00
2.00
2.00
2.00
2.00
3.00
3.00
2.14
1.167
2.50
Average
composite
bid
C
0.3
$4.00
2.00
3.00
3.00
4.00
2.00
3.00
3.00
1.167
3.50
0.2
$1.00
2.00
2.00
3.00
2.00
3.00
2.00
2.14
1.167
2.50
1 Sum
Composite
bid 1
........................
........................
........................
........................
........................
........................
........................
$2.40
........................
........................
$1.90
2.00
2.30
2.50
2.60
2.70
2.80
........................
........................
........................
of item bids multiplied by item weights.
adjustment factor is equal to the pivotal bid ($2.80 in this example) divided by the average composite bid ($2.40 in this example). The
SPA is established by multiplying the average of the winning bids for each item by the adjustment factor.
2 The
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This methodology, similar to the one
used under the BBA demonstrations
from October 1, 1999 through December
31, 2002, results in payment to all
winning suppliers at the pivotal bid (or
highest winning composite bid) level.
Under the BBA demonstrations, the
adjustment factor varied by supplier and
was based on the pivotal composite bid
divided by the individual, winning
supplier’s composite bid, and the
average of the prices was calculated
after the bids were adjusted rather than
before they were adjusted. Both versions
of the average adjusted price
methodology result in pricing at the
pivotal bid level. For example, in Table
22 the methodology used under the BBA
demonstrations would have resulted in
SPAs of $2.46, $3.58, and $2.48 for
items A, B, and C, respectively.
However, when factoring in the
expected percentage of total services
made up by each item in the product
category (item weight), both versions of
the average adjusted price methodology
result in payment at the pivotal bid
level:
sradovich on DSK3GMQ082PROD with PROPOSALS2
Table 22: (0.5 * $2.50) + (0.3 * $3.50)
+ (0.2 * $2.50) = $2.80
BBA demonstrations: (0.5 * $2.46) + (0.3
* $3.58) + (0.2 * $2.48) = $2.80
Using either version, the overall
payment for the product category equals
or exceeds the individual composite
bids of $1.90, $2.00, $2.30, $2.50, $2.60,
$2.70 and $2.80. We chose not to
propose this approach because we
believed that this approach is not
reflective of all of the winning bids
accepted. In addition, we stated that we
were concerned that this methodology
may be confusing and overly
complicated (72 FR 18046).
Two additional methodologies for
determining the SPA for individual
items under the DMEPOS CBP include
the minimum bid methodology ($1.00,
$2.00, and $1.00 in the example above)
and the maximum bid methodology
($3.00, $4.00, and $3.00 in the example
above). More detailed explanations of
these methods can be found in the 2007
DMEPOS final rule (72 FR 17992, pages
18044 through 18047). We did not
support either methodology because
they only reflect the bid of a single
supplier and may be an outlier in the
overall bid for the item. A methodology
that uses a straight mean is most
affected by outliers, since all values in
a sample are given the same weight
when calculating mean. A value that is
far removed from the mean is going to
likely skew results.
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D. Provisions of the Proposed Rule
We believe that two proposed reforms
to the DMEPOS CBP would simplify the
program, eliminate the possibility for
price inversions, and ensure the long
term sustainability of the program.
1. Lead Item Pricing for all Product
Categories Under the DMEPOS CBP
In the 2016 ESRD PPS final rule (81
FR 77945), we established alterative
rules for submitting bids and
determining SPAs for certain groupings
of similar items with different features
under the DMEPOS CBP. As discussed
in the rule, price inversions result under
the CBP when different item weights are
assigned to similar items with different
features within the product category. To
prevent this from occurring under future
competitions, we established an
alternative ‘‘lead item’’ bidding method
for submitting bids and determining
single payment amounts for certain
groupings of similar items (for example,
walkers) with different features (wheels,
folding, etc.) under the DMEPOS CBP.
Under this alternative bidding method,
one item in the grouping of similar
items would be the lead item for the
grouping for bidding purposes. The item
in the grouping with the highest total
national allowed services (paid units of
service) during a specified base period
would be considered the lead item of
the grouping. CMS established a method
for calculating SPAs for items within
each grouping of similar items based on
the SPAs for lead items within each
grouping of similar items (81 FR 42878).
Under § 414.416(b)(3), in the case of
competitions where bids are submitted
for an item that is a combination of
codes for similar items within a product
category as identified under
§ 414.412(d)(2), the single payment
amount for each code within the
combination of codes is equal to the
single payment amount for the lead item
or code with the highest total
nationwide allowed services multiplied
by the ratio of the average of the 2015
fee schedule amounts for all areas (that
is, all states, the District of Columbia
(DC), Puerto Rico, and the U.S. Virgin
Islands) for the code to the average of
the 2015 fee schedule amounts for all
areas for the lead item. Beginning in
2016, the fee schedule amounts used to
pay claims in non-CBAs were adjusted
based on information from the CBP.
Thus, the 2015 fee schedule amounts
were the last fee schedule amounts that
were not adjusted based on SPAs for
low weight items (for example, hospital
beds without side rails) that in some
cases were higher than the SPAs for
other similar items in the same product
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category with more features (for
example, hospital beds with side rails).
The relative difference in the cost of the
items (for example, hospital beds with
side rails cost more than hospital beds
without side rails) is reflected in the
unadjusted fee schedule amounts in that
the unadjusted fee schedule amounts for
hospital beds with side rails are higher
than the fee schedule amounts for
hospital beds without side rails, and not
in the adjusted fee schedule amounts,
where the adjusted fee schedule
amounts for hospital beds with side
rails are not higher than the fee
schedule amounts for hospital beds
without side rails. For this reason, we
use the unadjusted fee schedule
amounts for 2015 to determine the
relative difference in the cost of
different items (for example, hospital
beds with side rails compared to
hospital beds without side rails).
Under the CBP, in all rounds since
2011, we found price inversions for
groupings of similar items within the
following categories: Standard power
wheelchairs, walkers, hospital beds,
enteral infusion pumps, TENS devices,
support surface mattresses and overlays
and seat lift mechanisms. We consider
the price of an item inverted when a
more complicated item is cheaper than
a simple version. For instance, when a
walker without wheels costs more than
a walker with wheels. The detailed
method, examples, and responses to
public comments regarding lead item
bidding were explained in the 2016
ESRD PPS final rule (81 FR77945
through 77949). We are now proposing
to establish a similar lead item pricing
methodology for all items and all
product categories under the DMEPOS
CBP. We propose that the methodology
would now apply to all items in the
product category rather than groupings
of items within a product category. We
also propose that the lead item would be
identified based on total national
allowed charges rather than total
national allowed services. We believe
that lead item pricing would address all
price inversions we have already
identified as well as potential future
price inversions for other items. The
lead item pricing methodology proposed
in this rule is therefore similar to, but
different than the lead item bidding
methodology we finalized in previous
rulemaking. This would not be an
alternative bidding method, but would
replace the current bidding method,
where bids are submitted for each item
in the product category, for all items.
Since the bid for the lead item would be
used to establish the SPAs for both the
lead item and all other items in the
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product category, we are referring to this
proposed policy as ‘‘lead item pricing’’
rather than ‘‘lead item bidding.’’ We are
proposing to implement lead item
pricing and change the methodology for
establishing SPAs under the CBP for a
number of reasons.
We believe lead item pricing would
greatly reduce the complexity of the
bidding process and the burden on
suppliers since they would no longer
have to submit bids for numerous items
in a product category. For some product
categories, there are hundreds of items,
and many suppliers submit bids for
multiple product categories and in
multiple CBAs. The more bids a
supplier has to submit, the more time it
takes to complete the bidding process
and the greater the risk for keying errors,
which have disqualified bidders in the
past, reducing the level of competition
and opportunity for savings under the
program. Lead item pricing would also
eliminate the need for item weights and
calculation of composite bids based on
item weights. This would greatly
eliminate the burden for suppliers since
they would no longer have to submit
bids for each individual item in a
product category.
Several issues related to this lead item
pricing proposal warrant discussion.
First, lead item pricing would apply to
all items in each product category,
including all codes for base equipment
(for example, power wheelchairs) and
all codes for accessories for base
equipment (for example, wheelchair
batteries). Bids for the lead item (for
example, one of the power wheelchair
codes), would therefore be used to
establish the SPA for the code for the
lead item, other codes for power
wheelchairs other than the lead item,
and codes for accessories used with the
base equipment (in this example,
various types of power wheelchairs).
Examples of how this pricing method
would work are in section V.D.2 of this
proposed rule.
Second, it is likely that some of the
larger, conglomerate product categories
established to promote ‘‘one stop
shopping’’ for beneficiaries and referral
agents would need to be split into
multiple product categories so that lead
item pricing is not implemented for
categories that include different types of
base equipment. Such categories
include general home equipment
(hospital beds, support surfaces,
commode chairs, patient lifts, and seat
lifts), respiratory equipment (oxygen
and oxygen equipment, continuous
positive airway pressure devices, and
respiratory assist devices), and standard
mobility equipment (walkers, standard
manual wheelchairs, standard power
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wheelchairs, and scooters). We believe
that it would be overly complex and
confusing to establish prices for one
type of equipment (for example, power
wheelchairs) based on bids submitted
for another type of equipment (for
example, walkers). We believe it would
be more straightforward for suppliers to
submit a lead item bid for one code for
one type of base equipment (for
example, group 2, captains chair power
wheelchair, which is a lead item
because it has the highest allowed
charges) that would be used to establish
payment amounts for all similar types of
the base equipment that is, power
wheelchairs (for example, groups 1 and
2, captains chair and sling seat versions,
and equipment accommodating various
patient weight capacities) and
accessories used with the various power
wheelchairs (for example, batteries, arm
pads, and tires).
Third, as part of the proposal to move
to lead item pricing, we are proposing
to establish a new definition under
§ 414.402 for ‘‘lead item,’’ and we are
proposing to revise the current
definitions for ‘‘bid’’ and ‘‘composite
bid’’ under § 414.402. We propose to
revise the definition of ‘‘bid’’ to include
the words ‘‘or items’’ after the word
‘‘item’’. The definition of ‘‘bid’’ would
read as follows ‘‘Bid means an offer to
furnish an item or items for a particular
price and time period that includes,
where appropriate, any services that are
directly related to the furnishing of the
item or items.’’ We are proposing this
change because under lead item pricing,
the bid for a lead item includes the
supplier’s bid for furnishing all of the
items in the product category and not
just the lead item.
We propose to revise the definition of
‘‘composite bid’’. The definition would
read as follows ‘‘Composite bid means
the bid submitted by the supplier for the
lead item in the product category.’’
Currently, the supplier’s bid amounts
for multiple items in the product
category are weighted and summed to
generate the supplier’s composite bid
for that product category. Under lead
item pricing, the supplier’s bid amount
for the lead item is the composite bid.
In addition, the bids for the lead items
would be used to determine the SPAs
for the rest of the items in the product
category. We would educate suppliers
regarding how pricing for all of the
items in the product category would be
established based on the bids submitted
for the lead item, and that they should
consider their costs for furnishing the
various items in the product category
when submitting their bid for the lead
item.
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As indicated in section V.A of this
proposed rule, section 1847(a)(1)(G) of
the Act and our regulations require that
bidding suppliers obtain bid surety
bonds when participating in future
competitions under the CBP. If the
supplier is offered a contract for any
product category for a CBA, and its
composite bid for such product category
and area is at or below the median
composite bid rate for all bidding
suppliers included in the calculation of
the SPAs for the product category/CBA
combination, the supplier must accept
the contract offered or the supplier’s bid
surety bond for the applicable CBA will
be forfeited. Because we are proposing
a change to the definition of composite
bid (the composite bid would be defined
as the supplier’s bid for the lead item in
the product category), we note that the
supplier’s bid for the lead item would
also be treated as the ‘‘composite bid’’
for the purpose of implementing the
statutory and regulatory bid surety bond
requirement. Under the lead item
pricing method, suppliers would forfeit
their bid surety bond for a product
category in a CBA if their composite bid
(their bid for the lead item) is at or
below the median composite bid rate for
all bidding suppliers included in the
calculation of SPAs for the product
category and CBA and they do not
accept a contract offer for the product
category and CBA. In other words, the
median of the winning bids for the lead
item in the product category would be
calculated and used to implement the
bid surety bond requirement at section
1847(a)(1)(H)(i) of the Act and
§ 414.412(h).
We are proposing to add the
definition for ‘‘lead item’’ under
§ 414.402. The definition of ‘‘lead item’’
would read as follows ‘‘Lead item is the
item in a product category with multiple
items with the highest total nationwide
Medicare allowed charges of any item in
the product category prior to each
competition. Total nationwide Medicare
allowed charges means the total sum of
charges allowed for an item furnished in
all states, territories, and D.C. where
Medicare beneficiaries reside and can
receive covered DMEPOS items and
services.’’
Currently under § 414.412(d)(2) the
‘‘lead item’’ in the product category is
described as ‘‘the code with the highest
total nationwide allowed services for
calendar year 2012,’’ and ‘‘total
nationwide allowed services’’ is defined
in § 414.402 as meaning the total
number of services allowed for an item
furnished in all states, territories, and
DC where Medicare beneficiaries reside
and can receive covered DMEPOS items
and services. We are proposing to delete
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the lead item bidding provision that
currently appears in § 414.412(d)(2) and
replace it with the proposed lead item
pricing provision. We are proposing to
change these descriptions and
definitions as explained by replacing
this language in § 414.412(d)(2) with a
new definition of lead item in § 414.402.
We believe that using allowed charges
rather than allowed services is a better
way to identify the lead item in a
product category for the purpose of
implementing lead item pricing because
the item with the highest allowed
charges is the item that generates the
most revenue for the suppliers of the
items in the product category. The item
with the most allowed services is not
always the item that generates the most
revenue for the supplier. For example,
there are far more allowed services for
NPWT dressings than NPWT pump
rentals, but the revenue generated by the
pump rentals is more than double the
revenue generated by the dressings.
Therefore, the item with the most
allowed charges in the product category
(the NPWT pump rentals) generates
more revenue for the suppliers than the
item with the most allowed services in
the product category (the NPWT
dressings). We note that in most cases
the item with the most allowed charges
would also be the item with the most
allowed services, but in cases where this
is not true, we believe that the lead item
should be the one that generates the
most revenue for suppliers as opposed
to the one that has the higher number
of allowed services.
Section 1847(b)(2)(A)(iii) of the Act
prohibits the awarding of contracts
under the CBP unless the total amounts
to be paid to contract suppliers in a CBA
are expected to be less than the total
amounts that would otherwise be paid.
In order to implement this requirement
for assurance of savings under the CBP,
we propose to revise § 414.412(b)(2) to
require that the supplier’s bid for each
lead item and product category in a CBA
cannot exceed the fee schedule amount
that would otherwise apply to the lead
item without any adjustments based on
information from the CBP.
Finally, we propose to amend the
conditions for awarding contracts under
the CBP in § 414.414(e) related to
evaluation of bids under the CBP.
Currently, this section indicates that
CMS evaluates bids submitted for items
within a product category, and that
expected beneficiary demand in a CBA
is calculated for items in the product
category. We are proposing to change
this section to indicate that CMS
evaluates composite bids submitted for
the lead item within a product category,
and that expected beneficiary demand
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in a CBA is calculated for the lead item
in the product category. We are
proposing that under the lead item
pricing methodology, CMS would
calculate expected beneficiary demand
and total supplier capacity based on the
lead item in the product category when
evaluating bids. Currently, beneficiary
demand for items in a product category
and supplier capacity for furnishing
items in the product category are
calculated based on historic utilization
of the items making up at least 80
percent of the total expenditures for the
product category as a whole. The
demand for these items is trended
forward to the contract period by the
projected growth in beneficiary
population in the CBA and utilization of
the items in the product category. The
pivotal bid is where total supplier
capacity for furnishing the items within
a product category meets projected
beneficiary demand for the items.
Projected demand for items within a
product category and supplier capacity
for meeting the projected demand for
items within a product category are
calculated by adding the projected
demand and supplier capacity for those
items in the product category that make
up 80 percent of the total expenditures
for the product category. It is assumed
that the suppliers with the capacity to
furnish the items making up 80 percent
of the total expenditures for the product
category would also have the capacity to
furnish the remaining items in the
product category as well. This has
proven to be true. Under lead item
pricing, we are proposing that projected
demand and supplier capacity would
only be calculated for the lead item for
the purpose of determining or
establishing the pivotal bid. In other
words, the winning range of suppliers
would be set based on where the
cumulative capacity of suppliers for
furnishing the lead item equals or
exceeds the projected beneficiary
demand for the lead item. It is assumed
that the suppliers with the capacity to
furnish the lead item in the product
category would also have the capacity to
furnish the remaining items in the
product category as well. We believe
this change would have a minimal
impact on the number of contracts
awarded under the program, with the
exception of CPAP devices and
accessories. For this category of items,
the CPAP device would be the lead
item, but there are also several codes for
accessories (masks, tubing, etc.) where
total allowed charges are close to the
allowed charge total for the CPAP
device itself. Establishing projected
demand and supplier capacity based on
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the CPAP device alone could result in
a drop in the number of winning
suppliers; however, we believe that
suppliers that have the capacity to meet
projected beneficiary demand for rental
of the CPAP device would also have the
capacity to furnish the accessories used
with the devices they are furnishing. In
addition, the 20 percent cap on supplier
capacity would still be in effect, which
limits the capacity of suppliers,
including large, national chain
suppliers, to 20 percent of projected
demand, even if these suppliers could
meet far more than 20 percent of
beneficiary demand for CPAP devices
and accessories.
In summary, we propose to amend
§§ 414.402, 414.412, and § 414.414 to
change the definitions, the methodology
for the calculation of SPAs, and the
evaluation of bids under the CBP to
reflect and establish the lead item
pricing methodology.
2. Calculation of Single Payment
Amounts (SPAs) Using Maximum
Winning Bids for Lead Items
We propose to revise § 414.416 to
change the methodology for calculating
SPAs under the CBP. The SPA for the
lead item in each product category and
CBA would be based on the maximum
or highest amount bid for the item by
suppliers in the winning range as
illustrated in Table 23. The SPAs for all
other items in the product category
would be based on a percentage of the
maximum winning bid for the lead item.
Specifically, the SPA for a non-lead
item in the product category would be
equal to the SPA for the lead item
multiplied by the ratio of the average of
the 2015 fee schedule amounts for all
areas (that is, all states, DC, Puerto Rico,
and the U.S. Virgin Islands) for the item
to the average of the 2015 fee schedule
amounts for all areas for the lead item.
Thus, the SPAs for a non-lead item
would be based on the relative
difference in the fee schedule amounts
for the lead and non-lead item before
the fee schedule amounts were adjusted
based on information from the CBP. For
example, if the average 2015 fee
schedule amount for a non-lead item
such as a wheelchair battery is $107.25,
and the average 2015 fee schedule
amount for the lead item (Group 2,
captains chair power wheelchair) is
$578.51, the ratio for these two items
would be computed by dividing $107.25
by $578.51 to get 0.18539. Multiplying
$578.51 by 0.18539 then generates the
amount of $107.25. Under the lead item
pricing methodology, if the maximum
winning bid for the lead item in this
example (Group 2, captains chair power
wheelchair) is used to compute an SPA
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of $433.88 for this lead item, then the
SPA for the non-lead item in this
example (wheelchair battery) would be
computed by multiplying $433.88 by
0.18539 to generate an SPA of $80.44 for
the non-lead item (wheelchair battery).
We believe that establishing the SPA
for the lead item based on the maximum
winning bid rather than the median of
winning bids could also further simplify
the bidding process and better ensure
the long term sustainability of the CBP.
The maximum winning bid is the bid
for the lead item submitted by the
supplier with the pivotal bid, defined in
§ 414.402 as the lowest composite bid
based on bids submitted by suppliers for
a product category that includes a
sufficient number of suppliers to meet
beneficiary demand for the items in that
product category. Under the proposed
revised definition of composite bid,
each supplier’s bid for the lead item
would be their composite bid. In no case
would a supplier in the winning range
be paid an amount for the lead item in
a product category that is less than its
bid amount for the lead item, or its
composite bid, for the product category
as a whole. We believe that this is the
best way to ensure that the supplier can
furnish the quantity of items and
services it indicates it can furnish with
its bid. As an alternative to using
median bids to establish SPAs, we are
proposing to use the maximum winning
bid for the lead item in a product
category to establish the SPAs for the
rest of the items in the product category
in order to ensure long term
sustainability of the DMEPOS CBP. We
believe that lead item pricing based on
the maximum winning bid for the lead
item is the best way to ensure that the
supplier can furnish the quantity of
items and services it indicates it can
furnish with its bid because all
suppliers in the winning range would be
paid at least what they bid for the lead
item or more. Currently, suppliers are
paid based on the median of the
winning bids for each item, which
results in many suppliers being paid
less than the amount they bid for an
item, which could potentially lead to
beneficiary access problems for these
items if the SPA based on the median
of the winning bids is not sufficient to
cover the supplier’s costs for furnishing
the quantity of items they indicated that
they could furnish with their bid.
Currently under the CBP, certain
suppliers can be offered contracts after
the initial contract awards are made if
necessary to ensure access to items and
services. These suppliers are suppliers
that had composite bids above the
pivotal bid, so their bids are even
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further removed from the median bid
levels than the suppliers initially
awarded contracts. As median bid levels
continue to decline over time, we
believe that it is possible that many of
the suppliers with bids above the
median would not be willing or able to
accept contracts for items and services
with SPAs that were set using the
median of winning bids. We believe this
could potentially jeopardize the
program. If there are not enough
suppliers willing to accept contract
offers and meet beneficiary demand,
then this would result in no contracts or
payments at SPA levels set too low to
ensure access. We believe this possible
scenario could be avoided by changing
the way that the SPAs are calculated,
and using the proposed maximum
winning bid for the lead item in a
product category to establish the SPAs
for all items in the product category,
rather than using the median of winning
bids to establish the SPA for each item
in a product category. Also, by applying
lead item pricing to all items, it would
eliminate price inversions associated
with suppliers bidding high for low
weight items, since items weights and
bids for low weight items would no
longer be used to establish SPAs for
items under the CBP.
Bids from small suppliers that are
only awarded contracts in order to help
meet the small supplier target would not
be used to determine the maximum
winning bid because these contracts are
awarded after the SPAs are established.
Under § 414.414(g)(1)(i), we established
a 30 percent target for small supplier
participation in the CBP; thereby
ensuring efforts are made to award at
least 30 percent of contracts to small
suppliers. If less than 30 percent of the
suppliers in the winning range
(suppliers at or below the pivotal bid)
are not small suppliers, additional
contracts are offered to small suppliers
who bid above the pivotal bid in order
to attempt to meet this 30 percent small
supplier target. However, the bids above
the pivotal bid have not been used to
calculate the SPA in past competitions,
and will not be used to calculate the
SPA going forward. If small suppliers
who are offered contracts do not accept
them, we may not meet the small
supplier target, but this refusal of the
contract offers would not result in an
access problem. The small supplier
target is just a target for enhancing
participation of small suppliers in the
CBP and is not a threshold that must be
met in order to meet demand for items
and services. Currently, small suppliers
not in the winning range who are only
offered contracts in an attempt to meet
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this target must accept payment at the
median of the winning bids for each
item, which in most cases are amounts
that are below what they bid for the
item. While SPAs based on the
proposed maximum winning bids
would still be below what these
suppliers bid, they are generally going
to be closer to the amounts they bid
than the SPAs based on the median of
the winning bids.
Likewise, bids from other suppliers
awarded contracts after the SPAs are
established are not currently used to
determine the SPAs and would not be
used to determine the maximum
winning bid. Currently, in very limited
cases, suppliers are offered and awarded
contracts after the SPAs are established
and contract offers are made because of
errors that were made in the bid
evaluation process. Also, additional
contracts can be offered at any point
during the contract period if necessary
to ensure beneficiary access to items
and services. The SPAs are not
recalculated in these situations because
it would be very disruptive and
logistically challenging to change the
SPAs and repeat the contracting process
each time an additional contract is
offered and accepted. The process for
completing all of the steps necessary for
CMS to implement a competition under
the CBP from the time the competition
is announced and suppliers are
registered to bid in DBids (the online
bidding system) to the time the contract
period begins already takes
approximately 2 years.
Under the current methodology for
establishing SPAs, for individual items
within each product category in each
CBA, the median of the winning bids for
each item is used to establish the SPA
for that item in each CBA, as illustrated
in Table 21. The proposed methodology
of using the maximum winning bids to
establish SPAs is illustrated in Table 23.
TABLE 23—PROPOSED MAXIMUM
WINNING BIDS METHODOLOGY
Supplier bids
Supplier 1 bid .......................
Supplier 4 bid .......................
Supplier 6 bid .......................
Supplier 9 bid .......................
Supplier 5 bid .......................
Supplier 11 bid .....................
Supplier 7 bid (pivotal bid) ...
Maximum bid/SPA ................
Bid amounts
for the lead
item
$1.00
2.00
2.00
2.00
2.00
3.00
3.00
3.00
As shown in this Table 23, the
maximum winning bid, the pivotal bid,
and the SPA are all equal.
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We stated in the 2007 DMEPOS final
rule that we believed that setting the
SPA based on the maximum of the
winning bids is not representative of all
bids submitted. However, we now
believe that using the maximum
winning bid amount for the lead item to
establish the SPAs and paying most
contract suppliers more than they bid
helps to ensure access and long term
sustainability of the CBP. This
methodology has the advantage of being
easily understood by bidding suppliers.
Using the maximum winning bid for the
lead item to establish SPAs addresses
criticism from stakeholders that the use
of median bids to establish SPAs results
in CMS paying approximately half of
the winning suppliers below what they
bid for the item. Using the maximum
winning bid is also strongly supported
by the supplier community, as
expressed in comments described in the
preamble to the 2007 DMEPOS final
rule (72 FR 18046). Under the CBP,
suppliers have consistently accepted
contract offers 92 percent of the time,
even though the median bid levels have
trended lower with each successive
round of competitions. However, if bid
levels continue to trend downward, we
believe this could ultimately result in
many suppliers rejecting contract offers,
to the point where there may not be
enough suppliers accepting contracts to
meet demand for items and services.
Table 24 shows the average SPAs for
seven high volume items that have been
included in all rounds of bidding and
how they have changed with each
successive recompete of the contracts.
TABLE 24—CHANGE IN AVERAGE SPAS OVER ROUNDS OF BIDDING
Round
Year
SPA
Year
SPA
Change %
E1390—Oxygen Concentrator/Oxygen and Oxygen Equipment
1 ........................
1 ........................
2 ........................
2011
2014
2013
2014
2017
2016
$95.74
77.97
76.84
¥18
¥19
¥17
2014
2017
2016
$116.16
95.74
93.07
$518.58
426.76
397.60
¥11
¥18
¥15
$2,189.28
1,770.17
1,785.41
¥14
¥19
¥6
$5.79
5.22
5.25
¥23
¥10
¥12
$58.79
47.89
45.93
¥11
¥19
¥14
$738.59
615.22
591.30
¥8
¥17
¥16
$2,855.09
2,257.05
1,748.70
¥11
¥21
¥26
E0601—CPAP
1 ........................
1 ........................
2 ........................
2011
2014
2013
$582.31
518.58
466.02
K0823—Group 2 Standard Power Wheelchair
1 ........................
1 ........................
2 ........................
2011
2014
2013
$2,554.22
2,189.28
1,889.48
2014
2017
2016
B4035—Daily Supplies for Enteral Nutrition by Pump
1 ........................
1 ........................
2 ........................
2011
2014
2013
$7.50
5.79
5.98
2014
2017
2016
E0143—Folding Wheeled Walker
1 ........................
1 ........................
2 ........................
2011
2014
2013
$66.13
58.79
53.22
2014
2017
2016
E0260—Semi-Electric Hospital Bed
1 ........................
1 ........................
2 ........................
2011
2014
2013
$803.45
738.59
703.14
2014
2017
2016
E0277—Powered Mattress Support Surface
sradovich on DSK3GMQ082PROD with PROPOSALS2
1 ........................
1 ........................
2 ........................
2011
2014
2013
$3,197.50
2,855.09
2,351.77
If the median bids continue on this
downward trend, suppliers with bids
above the median bid may not be able
to continue to furnish items and
services at the SPAs established based
on the median of winning bids, and this
could cause problems with securing
enough contract suppliers to meet
demand and could cause non-viable
programs in certain areas for certain
product categories. We believe
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2014
2017
2016
establishing SPAs based on the
maximum winning bid for the lead item
would help prevent such a scenario
from unfolding and would enhance the
long term sustainability of the DMEPOS
CBP. We believe current tools used to
address potential access or demand
issues in CBAs, such as awarding
additional contracts, may become
insufficient if suppliers in the upper
half of the winning range (those that bid
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at or below the pivotal bid, but above
the median) stop accepting contract
offers because the SPAs over time have
decreased to the point where they are
unacceptable to these suppliers.
We believe that the maximum
winning bid methodology would enable
long term sustainability of the CBP but
has some risks. This methodology could
skew the data set of bids if there is an
outlier. For example, in Table 23, if one
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supplier bids $20 and the majority of
suppliers bid between $1 and $3, this
would cause the entire item price to be
inaccurately skewed in one direction
and would increase the cost of the item
significantly. Although there are some
hindrances in replacing the median bid
amount methodology with the
maximum winning bid methodology for
determining the SPA, such as the risk of
skewed bids and the risk of paying
suppliers more than necessary to meet
beneficiary demand, we believe that the
pros of reducing burden and enhancing
access to items and services and
sustainability of the competitive bidding
program outweigh these cons. We solicit
comments on ways to minimize these
risks.
With regard to the fiscal impact of the
proposal to use lead item pricing and
maximum winning bids to establish
SPAs, we believe that use of maximum
winning bids to establish SPAs for lead
items would increase payment amounts
and expenditures for these lead items,
but would also decrease payment
amounts and expenditures for many of
the non-lead items, which should offset
the cost of the payments for the lead
items. For example, the monthly rental
SPA for the NPWT pump (E2402) for the
Virginia Beach, Virginia CBA is $654.89
(60 percent less than the fee schedule
amount of $1,642.09) and the purchase
SPA for the NPWT dressing (A6550) is
$25.39 (only 3 percent less than the fee
schedule amount of $26.25). In 2017,
approximately $356,257 was spent on
the pump in this CBA while
approximately $154,752 was spent on
the dressings. Under lead item pricing,
code E2402 would be the lead item, and
the maximum winning bid for this item
under the Round 2 Recompete (2016)
was $839.00 per month (49 percent less
than the fee schedule amount of
$1,642.09). Had this amount been paid
in 2017 in the Virginia Beach CBA, it
would have increased expenditures for
NPWT pump (E2402) by approximately
$100,159 from $356,257 to
approximately $456,416. However,
using lead item pricing, the price for the
dressing would have decreased from
$25.39 to $13.41 (49 percent less than
the fee schedule amount of $26.25),
which would have decreased
expenditures for code A6550 by
approximately $73,018 from $154,752 to
approximately $81,734. The net increase
in expenditures in this example would
have been approximately $27,141
($100,159¥$73,018).
In summary, we propose to amend the
SPA determination methodology in
§ 414.416 to change the methodology
from one that uses the median of
winning bids for each item to establish
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the SPAs for each item to one that uses
the maximum winning bid for the lead
item to set the SPA for the lead item and
the rest of the items within the product
category (‘‘non-lead items’’). The SPAs
for each non-lead item would be based
on the relative difference in the fee
schedule amounts for the non-lead item
and the lead item in 2015, before the fee
schedule amounts were adjusted based
on information from the CBP.
Finally, we are interested in obtaining
feedback from the public on whether or
not certain large CBAs should be split
into smaller size CBAs to create more
manageable service areas for suppliers,
as has been done for the New York, Los
Angeles, and Chicago CBAs. We are
soliciting feedback that we can consider
in potentially adjusting the size and
boundaries of CBAs for future
competitions. There are currently nine
CBAs with more than 7,000 square
miles, and three of these CBAs are areas
with more than 9,000 square miles. The
largest CBA is the Phoenix-MesaScottsdale, Arizona CBA with
approximately 12,000 square miles. This
CBA is comprised of the two counties,
Maricopa (approximately 8,000 square
miles) in the northwest and Pinal
(approximately 4,000 square miles) in
the southeast. One option for reducing
the size of this CBA would be to split
the CBA in two based on the county
borders and then remove some of the
large low population density zip code
areas from the southwestern portion of
the new Maricopa County CBA to
reduce the size of this CBA. Interstate
highway 10 runs west to east and then
south through the northern part of the
current CBA (primarily Maricopa
County), while interstate highway 8
runs west to east through the southern
part of the current CBA (primarily Pinal
County).
The second largest CBA is the Boise
City, Idaho CBA, comprised of five
counties, approximately 11,800 square
miles. Three zip code areas (83604,
83624, and 83650) south of the Snake
River and interstate highway 84 in
Owyhee County make up almost 65
percent of the area for the CBA
(approximately 7,700 square miles), but
only 2 percent of the population.
Removing these three zip codes from the
CBA would reduce the size of the CBA
to a little over 4,000 square miles. The
average size of the 130 CBAs is
approximately 2,900 square miles. The
third largest CBA is the Dallas-Fort
Worth-Arlington, Texas CBA with
approximately 9,100 square miles. The
Dallas-Fort Worth-Arlington, Texas
MSA and is made up of the two
metropolitan divisions of Dallas-PlanoIrving (approximately 5,000 square
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34359
miles over eight counties) and Fort
Worth-Arlington (approximately 4,000
square miles over seven counties). This
CBA could potentially be divided into
two new CBAs based on the
metropolitan divisions. The other six
CBAs with more than 7,000 square
miles are Riverside-San BernardinoOntario, California (approximately 8,900
square miles), Houston-The WoodlandsSugar Land, Texas (approximately 8,800
square miles), Bakersfield, California
(approximately 8,100 square miles), Salt
Lake City, Utah (approximately 7,500
square miles), San Antonio-New
Braunfels, Texas (approximately 7,300
square miles), and Atlanta-Sandy
Springs-Roswell, Georgia
(approximately 7,300 square miles).
We are soliciting feedback on whether
certain large CBAs should be
subdivided to make the areas more
manageable to serve. One result of
subdividing the CBAs and creating more
CBAs is that suppliers who wish to bid
for furnishing items and services in all
of the areas that formerly would have
been one area would have to incur the
cost and effort of obtaining multiple bid
surety bonds for the new areas rather
than one bid surety bond.
VI. Adjustments to DMEPOS Fee
Schedule Amounts Based on
Information From the DMEPOS CBP
A. Background
Section 16008 of the 21st Century
Cures Act (the Cures Act) (Pub. L. 114–
255) was enacted on December 13, 2016,
and amended section 1834(a)(1)(G) of
the Act to require in the case of items
and services furnished in non-CBAs on
or after January 1, 2019, that in making
any adjustments to the fee schedule
amounts in accordance with sections
1834(a)(1)(F)(ii) and (iii),
1834(a)(1)(H)(ii), or 1842(s)(3)(B) of the
Act, the Secretary shall: (1) Solicit and
take into account stakeholder input; and
(2) take into account the highest bid by
a winning supplier in a CBA and a
comparison of each of the following
factors with respect to non-CBAs and
CBAs:
• The average travel distance and cost
associated with furnishing items and
services in the area.
• The average volume of items and
services furnished by suppliers in the
area.
• The number of suppliers in the
area.
1. Stakeholder Input Gathered in
Accordance With Section 16008 of the
Cures Act
Section 16008 of the Cures Act
mandates that we solicit and take into
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account stakeholder input in making
adjustments to fee schedule amounts for
items furnished on or after January 1,
2019, based on information from the
CBP. In order to solicit stakeholder
input, we announced that we would be
hosting a Medicare Learning Network
(MLN) ConnectsTM National Provider
Call (MLN Connects Call), which are
educational conference calls conducted
for the Medicare provider and supplier
community that educate and inform
participants about new policies and/or
changes to the Medicare program. We
announced this call through multiple
CMS listservs throughout March 2017,
in order to get the word out as quickly
and directly as possible to our
stakeholders. On March 23, 2017, CMS
hosted a national provider call to solicit
stakeholder input regarding adjustments
to fee schedule amounts using
information from the DMEPOS CBP.
The national provider call was
announced on March 3, 2017, and we
requested written comments by April 6,
2017.
We received 125 written comments
from stakeholders. More than 330
participants called into our national
provider call, with 23 participants
providing oral comments during the
call. In general, the commenters were
mostly suppliers, but also included
manufacturers, trade organizations, and
healthcare providers such as physical
and occupational therapists. These
stakeholders expressed concerns that
the level of the adjusted payment
amounts constrains suppliers from
furnishing items and services to rural
areas. Stakeholders requested an
increase to the adjusted payment
amounts for these areas. The written
comments generally echoed the oral
comments from the call held on March
23, 2017, whereby stakeholders claimed
that the adjusted fees are not sufficient
to cover the costs of furnishing items
and services in non-CBAs and that this
is having an impact on access to items
and services in these areas.
The oral and written comments are
organized into the following categories:
Inadequacy of Adjusted Fee Schedule
Amounts: Commenters claim the
adjusted fee schedule amounts do not
cover the cost of furnishing the items
and are not sustainable. Many
commenters opposed the current
adjusted payment amounts as
insufficient to sustain the current cost of
doing business. Some commenters
stated that current reimbursement levels
are below the cost of doing business.
Many commenters stated they were
billing non-assigned for items, or were
considering billing non-assigned in the
future.
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Travel Distance: Commenters claim
the average travel distance and cost for
suppliers serving rural areas are greater
than the average travel distance and cost
for suppliers serving CBAs. Many
commenters described farther travel
distances in rural areas than in nonrural areas. (For the purpose of
implementing the fee schedule
adjustment methodologies at
§ 414.210(g), the term ‘‘rural area’’ is
defined at § 414.202 and essentially
includes any areas outside an MSA or
excluded from a CBA).
Volume of Services: Many
commenters asserted that the average
volume of services furnished by
suppliers, when serving non-CBAs, are
lower than the average volume of
services furnished by suppliers, when
serving CBAs. Many commenters stated
that they do not get the same increase
in volume that suppliers who obtain
competitive bidding contracts get,
which does not allow them to have
economies of scale and obtain products
at lower costs.
Beneficiary Access: Many commenters
stated that the adjusted fees have
reduced the number of suppliers in the
area, and that this has caused or will
cause beneficiary access issues. Some
commenters claimed that they were the
only supplier in the area.
Adverse Beneficiary Health
Outcomes: Commenters stated that
beneficiaries are going without items
and this is causing adverse health
outcomes. Commenters stated that
hospital readmissions and lengths of
stay, falls, and fractures are increasing
as a result of the fee schedule
reductions.
Delivery Expenses: A few commenters
provided an estimate of how much their
delivery expenses cost, their estimated
service radius, and the average distance
traveled. Several commenters stated that
they have reduced the size of their
service area due to the level of
reimbursement that they are receiving.
Costs in Rural Areas: Many
commenters stated rural areas have
unique costs, costs that are higher than
non-rural areas. Similar to comments
received on our CY 2015 ESRD PPS
proposed rule (79 FR 40275 through
40315) and discussed in the CY 2015
ESRD PPS final rule (79 FR 66223
through 66265), some commenters
stated that a 10 percent payment
increase in rural areas is not enough to
cover costs in rural areas. One
commenter stated that non-contiguous
areas, such as Alaska and Hawaii, face
unique and greater costs due to higher
shipping costs, a smaller amount of
suppliers, and more logistical
challenges related to delivery. Some
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commenters stated specific costs, as
well as data sources, that CMS should
take into account when adjusting fees in
non-CBAs. These included the
following: Geographic wage index
factors, gas, taxes, employee wages and
benefits, wear and tear of vehicle,
average per capita income, training,
delivery, set up, historical Medicare
home placement volume, proximity to
nearby CBAs, employing a respiratory
therapist, electricity charges, freight
charges, 24/7 service, documentation
requirements, average per patient cost,
licensing accreditation, surety bonds,
audits, population density, miles and
time between points of service,
regulatory costs, vehicle insurance, and
liability insurance.
Two commenters pointed to the
Ambulance Fee Schedule and one
commenter pointed to the Bureau of
Labor Statistic Consumer Expenditure
Survey as evidence that health care
costs in rural areas are higher than in
urban areas. Another commenter
mentioned the Internal Revenue Service
Mileage Rate, the minimum wage, AAA
Gallon of Gasoline prices, and the price
of a loaf of white bread, to highlight
how the prices of such items have
increased over the years, while
reimbursement for DME has not.
Using the Highest Winning Bids for
the Adjusted Fee Schedule
Methodology: Five commenters
suggested that the adjusted fee schedule
amounts be based on maximum winning
bids in CBAs rather than the median of
winning bids in CBAs. One commenter
suggested that the maximum winning
bids should be the starting point for the
adjustments and that additional
payment should be added on to these
amounts to pay for the higher costs of
furnishing items and services in nonCBAs.
2. Highest Winning Bids in CBAs
Analysis
Section 16008 of the Cures Act
mandates that we take into account the
highest amount bid by a winning
supplier in a CBA in making
adjustments to fee schedule amounts for
items furnished on or after January 1,
2019, based on information from the
CBP. We considered the highest
amounts bid by a winning supplier for
a specific item (maximum bid) in the
various CBAs in Round 1 2017 and
Round 2 Recompete to see if maximum
bids varied in different types of areas
(that is, low volume versus high volume
areas, large versus small delivery service
areas, areas with few suppliers versus
many suppliers). We analyzed
maximum bids for the lead items in
each product category (those with the
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highest allowed charges) and for other
lower volume items. For lower volume
items with low item weights, suppliers
had less of an incentive to bid low on
these items and therefore the maximum
bids for many of these items are not
significantly below the unadjusted fee
schedule amounts.
For the lead items, we focused
primarily on items that clearly are
delivered locally such as large bulky
hospital beds and oxygen equipment
(concentrators and tanks) since
variations in maximum bid amounts
from CBA to CBA due to differences in
travel distances and costs would be
most noticeable for these items. There
are 130 CBAs in total in Round 1 2017
and Round 2 Recompete varying greatly
in size, volume, and number of
suppliers. What we found is that there
is no pattern indicating that maximum
bids are higher for larger areas with
lower volume than they are for smaller
areas with higher volume.
Table 25 lists the 130 maximum bids
for code E0260 (semi-electric hospital
bed). We ranked the CBAs/bids from the
largest maximum bid for E0260 to the
lowest maximum bid for E0260. The
average volume per supplier for each
item is also included and ranked from
1 (lowest average volume per supplier)
to 130 (highest average volume per
supplier). We looked to see if lower
average volumes (for example, rankings
1, 2, 3, etc.) corresponded with higher
maximum bid amounts. We also looked
to see if larger areas (for example,
rankings 1, 2, 3, etc.) corresponded with
higher maximum bid amounts.
TABLE 25—MAXIMUM BID AMOUNTS IN ROUND 1 2017 AND ROUND 2 RECOMPETE FOR CODE E0260
[Semi-Electric Hospital Bed]
Size in
square miles
sradovich on DSK3GMQ082PROD with PROPOSALS2
Area name
Salt Lake City UT .....................................
Ocala FL ..................................................
Albuquerque NM ......................................
Charlotte-Concord-Gastonia NC ..............
Kansas City MO .......................................
Seattle-Tacoma-Bellevue WA ..................
Wichita KS ...............................................
Knoxville TN .............................................
Honolulu HI ..............................................
Portland-Hillsboro-Beaverton OR ............
McAllen-Edinburg-Mission TX ..................
Colorado Springs CO ...............................
Nashville-Davidson-Murfreesboro-Franklin TN ....................................................
Phoenix-Mesa-Scottsdale AZ ..................
Riverside-San Bernardino-Ontario CA .....
Bridgeport-Stamford-Norwalk CT .............
Orlando-Kissimmee-Sanford FL ..............
Tampa-St. Petersburg-Clearwater FL ......
Boise City ID ............................................
Hartford-West Hartford-East Hartford CT
Los Angeles County CA ..........................
New Haven-Milford CT ............................
Boston-Cambridge-Quincy MA ................
Kansas City-Overland Park-Ottawa KS ...
Denver-Aurora-Lakewood CO .................
Chicago-Naperville-Arlington Heights IL ..
Wilmington DE .........................................
Fresno CA ................................................
Worcester MA ..........................................
Jeffersonville-New Albany IN ...................
Scranton-Wilkes-Barre-Hazleton PA ........
Greensboro-High Point NC ......................
Indianapolis-Carmel-Anderson IN ............
Minneapolis-St. Paul-Bloomington MN ....
El Paso TX ...............................................
Austin-Round Rock TX ............................
Beaumont-Port Arthur TX ........................
Lakeland-Winter Haven FL ......................
Deltona-Daytona Beach-Ormond Beach
FL .........................................................
Silver Spring-Rockville-Bethesda MD ......
Augusta-Richmond County GA ................
Atlanta-Sandy Springs-Roswell GA .........
Columbia SC ............................................
Greenville-Anderson-Mauldin SC ............
Memphis TN .............................................
Omaha NE ...............................................
Council Bluffs IA ......................................
Chester Lancaster-York Counties SC .....
Oklahoma City OK ...................................
Birmingham-Hoover AL ............................
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Maximum
winning bid
E0260
Size rank
Max E0260
bid rank
Average
E0260
services per
supplier 1
Volume rank
(low to high)
E0260
7,473
1,585
6,287
3,788
4,572
5,872
4,149
3,501
601
4,399
1,571
2,684
$1,343.79
1,325.00
1,303.00
1,276.61
1,207.50
1,199.00
1,100.00
1,100.00
1,075.00
1,000.00
950.00
941.00
1
2
3
4
5
6
7
7
9
10
11
12
37
33
35
75
51
34
61
49
46
61
127
22
23
17
19
68
36
18
53
33
30
52
107
3
6,036
12,036
8,900
625
3,478
2,513
11,766
1,515
2,232
605
2,424
2,829
3,906
1,273
426
5,958
1,511
1,709
1,747
1,994
3,994
4,731
1,013
4,220
3,034
1,798
12
1
4
122
40
55
2
94
65
123
59
48
34
103
127
13
95
82
81
73
33
23
112
27
46
80
940.00
924.82
920.00
897.23
873.47
850.00
850.00
843.92
840.60
829.62
828.19
819.00
818.11
818.10
817.41
816.78
814.00
811.56
807.35
805.31
800.00
800.00
800.00
800.00
800.00
798.88
13
14
15
16
17
18
18
20
21
22
23
24
25
26
27
28
29
30
31
32
33
33
33
33
33
38
68
79
53
84
67
85
31
138
109
157
166
36
24
328
156
30
57
95
142
73
120
94
74
58
37
71
60
73
37
77
57
78
14
110
96
117
119
20
6
130
116
12
46
87
112
65
101
86
66
47
24
63
1,586
1,152
1,909
7,275
3,250
2,711
1,926
2,265
2,085
1,810
5,512
5,280
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7
88
10
37
25
14
29
39
124
26
90
52
87
105
76
9
43
51
74
63
70
79
15
17
798.88
789.00
787.00
787.00
787.00
787.00
785.00
780.65
780.65
780.00
778.68
776.79
38
40
41
41
41
41
45
46
46
48
49
50
45
104
101
92
74
69
119
28
14
30
59
86
29
93
90
84
67
61
100
8
1
10
49
79
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TABLE 25—MAXIMUM BID AMOUNTS IN ROUND 1 2017 AND ROUND 2 RECOMPETE FOR CODE E0260—Continued
[Semi-Electric Hospital Bed]
Size in
square miles
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Area name
Chattanooga TN .......................................
Washington DC ........................................
Miami-Fort Lauderdale-West Palm Beach
FL .........................................................
Jacksonville FL ........................................
Jackson MS .............................................
Baton Rouge LA ......................................
South Haven-Olive Branch MS ................
Cape Coral-Fort Myers FL .......................
East St. Louis IL ......................................
Catoosa Dade-Walker Counties GA ........
Pittsburgh PA ...........................................
Raleigh NC ...............................................
Charleston-North Charleston SC .............
Aiken-Edgefield Counties SC ..................
Syracuse NY ............................................
St. Louis MO ............................................
Nassau Kings Queens-Richmond Counties NY ..................................................
Palm Bay-Melbourne-Titusville FL ...........
Rockingham-Strafford Counties NH ........
Milwaukee-Waukesha-West Allis WI .......
Las Vegas-Henderson-Paradise NV ........
Providence RI ..........................................
Huntington WV .........................................
Dearborn Franklin Ohio-Union Counties
IN ..........................................................
Mercer County PA ...................................
Aurora-Elgin-Joliet IL ...............................
Gary IN .....................................................
Houston-The Woodlands-Sugar Land TX
Tulsa OK ..................................................
Visalia-Porterville CA ...............................
San Francisco-Oakland-Hayward CA ......
San Jose-Sunnyvale-Santa Clara CA .....
San Diego-Carlsbad CA ..........................
Cleveland-Elyria OH ................................
New Orleans-Metairie LA .........................
Pierce-St. Croix Counties WI ...................
Louisville-Jefferson County KY ................
Dayton OH ...............................................
Cincinnati OH ...........................................
Albany-Schenectady-Troy NY ..................
Columbus OH ..........................................
Youngstown-Warren-Boardman OH ........
Dallas-Fort Worth-Arlington TX ................
Baltimore-Columbia-Towson MD .............
Asheville NC ............................................
Bakersfield CA .........................................
Calvert Charles-Prince Georges Counties
MD ........................................................
Suffolk County NY ...................................
Port Chester-White Plains-Yonkers NY ...
Akron OH .................................................
Philadelphia PA ........................................
Buffalo-Cheektowaga-Niagara Falls NY ..
Rochester NY ...........................................
Jersey City-Newark NJ ............................
Elizabeth-Lakewood-New Brunswick NJ
Detroit-Warren-Dearborn MI ....................
Flint MI .....................................................
Grand Rapids-Wyoming MI .....................
Arlington-Alexandria-Reston VA ..............
Richmond VA ...........................................
Sacramento-Roseville-Arden-Arcade CA
Orange County CA ..................................
Oxnard-Thousand Oaks-Ventura CA .......
Stockton-Lodi CA .....................................
VerDate Sep<11>2014
18:26 Jul 18, 2018
Jkt 244001
Maximum
winning bid
E0260
Size rank
Max E0260
bid rank
Average
E0260
services per
supplier 1
Volume rank
(low to high)
E0260
1,306
61
776.27
765.00
51
52
45
110
27
97
5,077
3,201
4,649
4,027
2,448
785
3,845
783
5,282
2,118
2,588
1,571
2,385
5,267
20
45
24
32
57
118
36
119
16
68
54
90
61
18
760.20
752.90
752.90
752.90
752.90
752.90
750.00
750.00
749.00
748.00
748.00
748.00
742.50
739.22
53
54
55
55
55
55
59
59
61
62
62
62
65
66
159
115
82
61
55
37
59
24
121
70
60
56
50
57
118
99
74
51
40
22
48
5
103
62
50
43
34
45
522
1,016
1,064
1,455
1,578
1,034
1,570
126
111
107
96
89
109
92
739.09
739.09
738.98
733.74
733.01
728.84
728.75
67
67
67
70
71
72
73
253
67
53
84
47
63
54
126
56
38
76
31
55
39
937
673
2,727
1,878
8,827
6,269
3,377
2,471
2,679
4,207
1,997
2,422
1,296
2,440
1,706
2,216
2,812
4,797
1,030
9,091
2,948
2,033
8,132
113
120
50
77
5
11
41
56
53
28
72
60
101
58
83
66
49
22
110
3
47
71
6
728.70
725.00
720.00
719.99
714.06
710.00
705.49
705.49
705.49
705.49
705.00
705.00
703.14
700.00
700.00
700.00
700.00
700.00
700.00
697.17
695.52
691.83
690.00
74
75
76
77
78
79
80
80
80
80
84
84
86
87
87
87
87
87
87
93
94
95
96
31
33
120
124
129
76
113
92
30
30
180
126
19
139
103
101
95
87
63
142
190
51
24
15
16
102
105
108
70
98
85
13
11
122
106
2
111
92
89
88
80
54
113
123
35
7
1,154
912
834
900
2,156
1,565
3,266
1,926
2,239
3,888
637
4,053
3,226
4,897
5,094
791
1,290
1,391
PO 00000
99
130
104
114
116
115
67
93
42
74
64
35
121
31
44
21
19
117
102
98
688.85
687.05
687.05
683.00
682.71
680.00
680.00
675.00
675.00
675.00
675.00
675.00
675.00
675.00
674.00
674.00
674.00
674.00
97
98
98
100
101
102
102
104
104
104
104
104
104
104
111
111
111
111
101
168
129
90
308
90
77
258
258
216
83
76
72
49
151
68
56
37
91
120
109
83
129
82
72
128
127
125
75
69
64
32
115
59
44
21
Frm 00060
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19JYP2
34363
Federal Register / Vol. 83, No. 139 / Thursday, July 19, 2018 / Proposed Rules
TABLE 25—MAXIMUM BID AMOUNTS IN ROUND 1 2017 AND ROUND 2 RECOMPETE FOR CODE E0260—Continued
[Semi-Electric Hospital Bed]
Size in
square miles
Area name
San Antonio-New Braunfels TX ...............
Camden NJ ..............................................
Bronx-Manhattan NY ...............................
Virginia Beach-Norfolk-Newport News VA
North Port-Sarasota-Bradenton FL ..........
Toledo OH ................................................
Covington-Florence-Newport KY .............
Lake-McHenry Counties IL ......................
Allentown-Bethlehem-Easton PA .............
Poughkeepsie-Newburgh-Middletown NY
Kenosha County WI .................................
Bristol County MA ....................................
Springfield MA ..........................................
Little Rock-North Little Rock-Conway AR
Tucson AZ ................................................
Vancouver WA .........................................
1 2016
Maximum
winning bid
E0260
Size rank
7,313
1,674
65
2,089
1,299
1,618
1,400
1,047
1,096
1,607
272
553
1,844
4,085
3,675
2,285
8
84
129
69
100
85
97
108
106
86
128
125
78
30
38
62
Max E0260
bid rank
671.50
670.00
670.00
670.00
667.98
664.58
658.46
629.90
625.00
625.00
618.78
600.00
574.29
574.29
574.29
574.29
115
116
116
116
119
120
121
122
123
123
125
126
127
127
127
127
Average
E0260
services per
supplier 1
29
209
150
77
45
55
55
107
172
67
23
105
121
90
42
40
Volume rank
(low to high)
E0260
9
124
114
71
28
41
42
95
121
58
4
94
104
81
26
25
allowed services.
We found no correlation between the
size of the areas and/or average volume
per supplier and maximum bid amounts
for code E0260. The lowest volume CBA
(Council Bluffs, Iowa) had the 46th
highest maximum bid for E0260 and the
second lowest volume CBA (Pierce-St.
Croix Counties Wisconsin) had the 86th
highest maximum bid for E0260. The
highest maximum bid for E0260 was
from the 7,437 square mile area for Salt
Lake City, Utah (the 7th largest area),
but the second highest maximum bid for
E0260 was from the 1,585 square mile
area for Ocala, Florida (the 88th largest
area).
We also analyzed the maximum bids
for E0260 for states with at least 7 CBAs
to see if there was any correlation
between maximum bid amounts and
area size, average volume per supplier,
or number of suppliers and did not see
any correlation between the maximum
bids and these factors. California has 12
CBAs ranging in size from 791 to 8,900
square miles. Bakersfield, one of the
CBAs, has the second largest service
area (8,132 square miles) and lowest
average volume per supplier for E0260
in 2016 (24) in California, but the
maximum winning bid for E0260 for
Bakersfield was lower than the
maximum winning bids for seven of the
eleven other CBAs, all having smaller
service areas as well, with the exception
of Riverside (8,900 square miles). See
Table 26.
TABLE 26—ROUND 1 2017 AND ROUND 2 RECOMPETE CALIFORNIA CBA COMPARISON AND MAXIMUM BIDS FOR E0260
Service area
(square miles)
Area
sradovich on DSK3GMQ082PROD with PROPOSALS2
Bakersfield ...............................................
Fresno ......................................................
San Diego ................................................
San Jose ..................................................
Stockton-Lodi ...........................................
Riverside ..................................................
Oxnard .....................................................
Orange County .........................................
San Francisco ..........................................
Los Angeles County .................................
Visalia-Porterville .....................................
Sacramento ..............................................
8,132
5,958
4,207
2,679
1,391
8,900
1,290
791
2,471
2,232
3,377
5,094
Florida has 10 CBAs ranging in size
from 785 to 5,077 square miles. Ocala,
one of the CBAs, has the lowest volume
per supplier and the highest maximum
VerDate Sep<11>2014
18:26 Jul 18, 2018
Jkt 244001
Population
839,631
930,450
3,095,313
1,836,911
685,306
4,224,851
823,318
3,010,232
4,335,391
9,818,605
442,179
2,149,127
Allowed
services
in 2016
(E0260)
462
571
1,360
913
586
2,838
1,124
2,596
5,729
11,509
907
5,434
bid in Florida. However, North Point
and Deltona have much lower
maximum bids for E0260 but only
slightly higher volume and number of
PO 00000
Frm 00061
Fmt 4701
Sfmt 4702
Number of
suppliers
in 2016
(E0260)
19
19
46
30
16
54
20
38
62
106
8
36
Average
allowed
services per
supplier
24
30
30
30
37
53
56
68
92
109
113
151
Maximum
bid
(E0260)
$690.00
816.78
705.49
705.49
674.00
920.00
674.00
674.00
705.49
840.60
705.49
674.00
suppliers and are the same size as the
Ocala CBA. See Table 27.
E:\FR\FM\19JYP2.SGM
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Federal Register / Vol. 83, No. 139 / Thursday, July 19, 2018 / Proposed Rules
TABLE 27—ROUND 1 2017 AND ROUND 2 RECOMPETE FLORIDA CBA COMPARISON AND MAXIMUM BIDS FOR E0260
Service area
(square miles)
Area
Ocala ........................................................
Cape Coral-Fort Myers ............................
North Port-Sarasota .................................
Deltona .....................................................
Orlando ....................................................
Palm Bay-Melbourne ...............................
Lakeland ...................................................
Tampa-St. Petersburg ..............................
Jacksonville ..............................................
Miami ........................................................
1,585
785
1,299
1,586
3,478
1,016
1,798
2,513
3,201
5,077
New York has 9 CBAs ranging in size
from 65 to 3,266 square miles. Syracuse,
one of the CBAs, has the lowest volume
and highest maximum bid in New York
Population
331,303
618,754
702,281
590,289
2,134,406
543,376
602,095
2,783,243
1,345,596
5,564,657
Allowed
services
in 2016
(E0260)
Number of
suppliers
in 2016
(E0260)
1,195
1,189
2,177
2,223
6,593
2,416
2,636
8,059
5,163
20,183
for E0260. By contrast, the Nassau CBA
has a much higher volume for E0260
and a smaller service area than the
Syracuse CBA, but a maximum bid for
36
32
48
49
98
36
37
95
45
127
Average
allowed
services per
supplier
33
37
45
45
67
67
71
85
115
159
Maximum
bid
(E0260)
$1,325.00
752.90
667.98
798.88
873.47
739.09
798.88
850.00
752.90
760.20
E0260 that is very close to the maximum
bid for E0260 for the Syracuse CBA. See
Table 28.
TABLE 28—ROUND 2 RECOMPETE NEW YORK CBA COMPARISON AND MAXIMUM BIDS FOR E0260
Service area
(square miles)
Area
Syracuse ..................................................
Poughkeepsie ..........................................
Rochester .................................................
Buffalo ......................................................
Albany ......................................................
Port Chester .............................................
Bronx-Manhattan ......................................
Suffolk County ..........................................
Nassau Kings Queens .............................
2,385
1,607
3,266
1,565
2,812
834
65
912
522
Ohio has 7 CBAs ranging in size from
900 to 4,797 square miles. Four of the
Population
662,577
670,301
1,079,671
1,135,509
870,716
1,360,510
2,970,981
1,493,350
6,543,684
Allowed
services
in 2016
(E0260)
Number of
suppliers
in 2016
(E0260)
1,599
2,291
2,382
1,983
2,854
6,591
9,884
6,231
25,839
CBAs have the same maximum bid for
E0260 ($700), yet the areas are not
32
34
31
22
30
51
66
37
102
Average
allowed
services per
supplier
50
67
77
90
95
129
150
168
253
Maximum
bid
(E0260)
$742.50
625.00
680.00
680.00
700.00
687.05
670.00
687.05
739.09
similar in size, volume, or number of
suppliers. See Table 29.
TABLE 29—ROUND 1 2017 AND ROUND 2 RECOMPETE OHIO CBA COMPARISON AND MAXIMUM BIDS FOR E0260
Service area
(square miles)
Area
sradovich on DSK3GMQ082PROD with PROPOSALS2
Toledo ......................................................
Youngstown .............................................
Columbus .................................................
Akron ........................................................
Cincinnati .................................................
Dayton ......................................................
Cleveland .................................................
1,618
1,030
4,797
900
2,216
1,706
1,997
Finally, Texas has 7 CBAs ranging in
size from 1,013 to 9,091 square miles.
The San Antonio CBA has the lowest
volume for E0260 and is a large area, but
Population
651,429
449,130
1,901,974
703,200
1,625,406
841,502
2,077,245
Allowed
services
in 2016
(E0260)
Number of
suppliers
in 2016
(E0260)
1,649
1,199
5,409
2,350
4,530
3,705
10,623
has the lowest maximum bid amount for
E0260 in Texas. The McAllen CBA has
the highest maximum bid amount for
E0260, but is much smaller and has a
30
19
62
26
45
36
59
Average
allowed
services per
supplier
55
63
87
90
101
103
180
Maximum
bid
(E0260)
$664.58
700.00
700.00
683.00
700.00
700.00
705.00
much higher average volume per
supplier for E0260 than the San Antonio
CBA. See Table 30.
TABLE 30—ROUND 1 2017 AND ROUND 2 RECOMPETE TEXAS CBA COMPARISON AND MAXIMUM BIDS FOR E0260
Service area
(square miles)
Area
San Antonio .............................................
VerDate Sep<11>2014
18:26 Jul 18, 2018
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7,313
PO 00000
Frm 00062
Population
2,142,508
Fmt 4701
Sfmt 4702
Allowed
services
in 2016
(E0260)
Number of
suppliers
in 2016
(E0260)
1,026
E:\FR\FM\19JYP2.SGM
35
19JYP2
Average
allowed
services per
supplier
29
Maximum
bid
(E0260)
$671.50
34365
Federal Register / Vol. 83, No. 139 / Thursday, July 19, 2018 / Proposed Rules
TABLE 30—ROUND 1 2017 AND ROUND 2 RECOMPETE TEXAS CBA COMPARISON AND MAXIMUM BIDS FOR E0260—
Continued
Service area
(square miles)
Area
Beaumont-Port Arthur ..............................
Austin .......................................................
El Paso .....................................................
McAllen ....................................................
Houston ....................................................
Dallas .......................................................
3,034
4,220
1,013
1,571
8,827
9,091
We did not find any correlation
between maximum winning bid
amounts for code E0260 and the size of
a service area or between maximum
winning bid amounts for code E0260
Allowed
services
in 2016
(E0260)
Population
403,190
1,716,289
800,647
774,773
5,946,800
6,417,724
Number of
suppliers
in 2016
(E0260)
894
2,599
1,110
2,279
11,353
14,362
Average
allowed
services per
supplier
24
45
15
18
88
101
and the volume of items and services
furnished by suppliers in various areas.
Table 31 lists the 130 maximum bids
in Round 1 2017 and Round 2
Recompete for code E1390 (oxygen
Maximum
bid
(E0260)
37
58
74
127
129
142
800.00
800.00
800.00
950.00
714.06
697.17
concentrators and portable oxygen
contents or tanks).
TABLE 31—MAXIMUM BID AMOUNTS FOR HCPCS CODE E1390
[Oxygen concentrator and portable contents/tanks]
Size in
square miles
sradovich on DSK3GMQ082PROD with PROPOSALS2
Area name
Cape Coral-Fort Myers, FL ......................
Seattle-Tacoma-Bellevue, WA .................
Birmingham-Hoover, AL ...........................
Hartford-West Hartford-East Hartford, CT
Albuquerque, NM .....................................
Jeffersonville-New Albany, IN ..................
Gary, IN ....................................................
Indianapolis-Carmel-Anderson, IN ...........
North Port-Sarasota-Bradenton, FL .........
Nashville-Davidson-Murfreesboro-Franklin, TN ...................................................
Miami-Fort
Lauderdale-West
Palm
Beach, FL .............................................
Salt Lake City, UT ....................................
Ocala, FL .................................................
Charlotte-Concord-Gastonia, NC .............
Kansas City, MO ......................................
Wichita, KS ..............................................
Knoxville, TN ............................................
Portland-Hillsboro-Beaverton, OR ...........
McAllen-Edinburg-Mission, TX .................
Colorado Springs, CO ..............................
Phoenix-Mesa-Scottsdale, AZ .................
Riverside-San Bernardino-Ontario, CA ....
Bridgeport-Stamford-Norwalk, CT ............
Tampa-St. Petersburg-Clearwater, FL .....
Boise City, ID ...........................................
Los Angeles County, CA .........................
New Haven-Milford, CT ...........................
Boston-Cambridge-Quincy, MA ...............
Kansas City-Overland Park-Ottawa, KS ..
Denver-Aurora-Lakewood, CO ................
Chicago-Naperville-Arlington Heights, IL
Fresno, CA ...............................................
Worcester, MA .........................................
Minneapolis-St. Paul-Bloomington, MN ...
El Paso, TX ..............................................
Austin-Round Rock, TX ...........................
Beaumont-Port Arthur, TX .......................
Lakeland-Winter Haven, FL .....................
Deltona-Daytona Beach-Ormond Beach,
FL .........................................................
Silver Spring-Rockville-Bethesda, MD .....
Atlanta-Sandy Springs-Roswell, GA ........
Columbia, SC ...........................................
VerDate Sep<11>2014
18:26 Jul 18, 2018
Jkt 244001
Maximum
winning bid
E1390
Size rank
Average
E1390
services per
supplier 1
Max E1390
bid rank
Volume rank
(low to high)
E1390
785
5,872
5,280
1,515
6,287
1,709
1,878
3,994
1,299
$135.50
134.17
132.52
130.28
123.00
117.60
117.60
115.00
110.50
1
2
3
4
5
6
6
8
9
108
222
174
287
224
278
279
357
136
7
79
49
108
81
102
103
122
19
6,036
12
109.00
10
185
57
5,077
7,473
1,585
3,788
4,572
4,149
3,501
4,399
1,571
2,684
12,036
8,900
625
2,513
11,766
2,232
605
2,424
2,829
3,906
1,273
5,958
1,511
4,731
1,013
4,220
3,034
1,798
20
7
88
37
25
29
39
26
90
52
1
4
122
55
2
65
123
59
48
34
103
13
95
23
112
27
46
80
109.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
10
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
199
375
108
243
315
412
217
132
80
368
168
188
234
202
147
202
237
349
275
365
377
280
226
152
178
143
171
115
65
126
7
89
115
130
76
16
2
124
44
61
84
67
24
67
87
121
100
123
127
105
82
30
52
22
47
10
1,586
1,152
7,275
3,250
PO 00000
118
14
17
94
10
82
77
33
100
87
105
9
43
106.00
106.00
106.00
106.00
12
12
12
12
123
132
236
186
13
16
86
58
Frm 00063
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E:\FR\FM\19JYP2.SGM
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Federal Register / Vol. 83, No. 139 / Thursday, July 19, 2018 / Proposed Rules
TABLE 31—MAXIMUM BID AMOUNTS FOR HCPCS CODE E1390—Continued
[Oxygen concentrator and portable contents/tanks]
Size in
square miles
sradovich on DSK3GMQ082PROD with PROPOSALS2
Area name
Memphis, TN ............................................
Omaha, NE ..............................................
Council Bluffs, IA .....................................
Oklahoma City, OK ..................................
Chattanooga, TN ......................................
Washington, DC .......................................
Jacksonville, FL .......................................
Jackson, MS ............................................
Baton Rouge, LA .....................................
South Haven-Olive Branch, MS ...............
East St. Louis, IL .....................................
Pittsburgh, PA ..........................................
Charleston-North Charleston, SC ............
Aiken-Edgefield Counties, SC .................
St. Louis, MO ...........................................
Nassau Kings Queens-Richmond Counties, NY .................................................
Palm Bay-Melbourne-Titusville, FL ..........
Rockingham-Strafford Counties, NH .......
Milwaukee-Waukesha-West Allis, WI ......
Providence, RI .........................................
Huntington, WV ........................................
Dearborn Franklin Ohio-Union Counties,
IN ..........................................................
Aurora-Elgin-Joliet, IL ..............................
Houston-The Woodlands-Sugar Land, TX
Tulsa, OK .................................................
Visalia-Porterville, CA ..............................
San Francisco-Oakland-Hayward, CA .....
San Jose-Sunnyvale-Santa Clara, CA ....
San Diego-Carlsbad, CA .........................
Cleveland-Elyria, OH ...............................
New Orleans-Metairie, LA ........................
Pierce-St. Croix Counties, WI ..................
Dayton, OH ..............................................
Cincinnati, OH ..........................................
Albany-Schenectady-Troy, NY .................
Columbus, OH .........................................
Dallas-Fort Worth-Arlington, TX ...............
Baltimore-Columbia-Towson, MD ............
Bakersfield, CA ........................................
Calvert-Charles-Prince Georges Counties, MD ................................................
Suffolk County, NY ..................................
Port Chester-White Plains-Yonkers, NY ..
Philadelphia, PA .......................................
Buffalo-Cheektowaga-Niagara Falls, NY
Rochester, NY ..........................................
Detroit-Warren-Dearborn, MI ...................
Grand Rapids-Wyoming, MI ....................
Arlington-Alexandria-Reston, VA .............
Richmond, VA ..........................................
Sacramento-Roseville-Arden-Arcade, CA
Orange County, CA .................................
Oxnard-Thousand Oaks-Ventura, CA ......
San Antonio-New Braunfels, TX ..............
Bronx-Manhattan, NY ..............................
Virginia Beach-Norfolk-Newport News,
VA .........................................................
Covington-Florence-Newport, KY ............
Lake-McHenry Counties, IL .....................
Kenosha County, WI ................................
Bristol County, MA ...................................
Springfield, MA .........................................
Tucson, AZ ...............................................
Vancouver, WA ........................................
Raleigh, NC ..............................................
Asheville, NC ...........................................
VerDate Sep<11>2014
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Jkt 244001
Maximum
winning bid
E1390
Size rank
Max E1390
bid rank
Average
E1390
services per
supplier 1
Volume rank
(low to high)
E1390
1,926
2,265
2,085
5,512
1,306
61
3,201
4,649
4,027
2,448
3,845
5,282
2,588
1,571
5,267
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
297
170
148
286
176
113
187
150
166
214
258
327
153
96
315
111
46
26
106
51
9
59
27
39
74
92
120
31
3
115
522
1,016
1,064
1,455
1,034
1,570
126
111
107
96
109
92
106.00
106.00
106.00
106.00
106.00
106.00
12
12
12
12
12
12
216
157
197
268
221
223
75
34
64
99
77
80
937
2,727
8,827
6,269
3,377
2,471
2,679
4,207
1,997
2,422
1,296
1,706
2,216
2,812
4,797
9,091
2,948
8,132
113
50
5
11
41
56
53
28
72
60
101
83
66
49
22
3
47
6
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
106
191
207
226
398
166
130
159
407
160
72
235
311
263
199
262
324
164
5
62
69
82
128
39
15
35
129
36
1
85
112
94
65
93
118
38
1,154
912
834
2,156
1,565
3,266
3,888
4,053
3,226
4,897
5,094
791
1,290
7,313
65
104
114
116
67
93
42
35
31
44
21
19
117
102
8
129
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
178
208
153
326
286
171
322
183
166
275
210
134
140
210
97
52
70
31
119
106
47
117
54
39
100
72
18
20
72
4
2,089
1,400
1,047
272
553
1,844
3,675
2,285
2,118
2,033
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74
63
70
15
99
130
45
24
32
57
36
16
54
90
18
69
97
108
128
125
78
38
62
68
71
106.00
106.00
106.00
106.00
106.00
106.00
106.00
106.00
105.00
94.00
12
12
12
12
12
12
12
12
105
106
253
167
183
161
264
252
141
121
127
312
91
42
55
37
97
90
21
11
14
114
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TABLE 31—MAXIMUM BID AMOUNTS FOR HCPCS CODE E1390—Continued
[Oxygen concentrator and portable contents/tanks]
Size in
square miles
Area name
Honolulu, HI .............................................
Las Vegas-Henderson-Paradise, NV .......
Orlando-Kissimmee-Sanford, FL .............
Greensboro-High Point, NC .....................
Poughkeepsie-Newburgh-Middletown,
NY .........................................................
Augusta-Richmond County, GA ...............
Allentown-Bethlehem-Easton, PA ............
Flint, MI ....................................................
Greenville-Anderson-Mauldin, SC ...........
Chester Lancaster-York Counties, SC ....
Scranton-Wilkes-Barre-Hazleton, PA .......
Louisville-Jefferson County, KY ...............
Little Rock-North Little Rock-Conway, AR
Stockton-Lodi, CA ....................................
Wilmington, DE ........................................
Mercer County, PA ..................................
Jersey City-Newark, NJ ...........................
Camden, NJ .............................................
Youngstown-Warren-Boardman, OH .......
Akron, OH ................................................
Syracuse, NY ...........................................
Elizabeth-Lakewood-New Brunswick, NJ
Catoosa Dade-Walker Counties, GA .......
Toledo, OH ...............................................
sradovich on DSK3GMQ082PROD with PROPOSALS2
1 2016
Maximum
winning bid
E1390
Size rank
Max E1390
bid rank
Average
E1390
services per
supplier 1
Volume rank
(low to high)
E1390
601
1,578
3,478
1,994
124
89
40
73
92.66
92.27
92.00
86.84
107
108
109
110
107
191
175
169
6
62
50
45
1,607
1,909
1,096
637
2,711
1,810
1,747
2,440
4,085
1,391
426
673
1,926
1,674
1,030
900
2,385
2,239
783
1,618
86
76
106
121
51
79
81
58
30
98
127
120
74
84
110
115
61
64
119
85
85.35
85.00
85.00
84.29
83.44
83.44
83.00
83.00
83.00
82.15
82.00
82.00
82.00
82.00
81.41
81.41
81.00
81.00
79.80
79.80
111
112
112
114
115
115
117
117
117
120
121
121
121
121
125
125
127
127
129
129
147
155
263
150
263
150
311
373
279
122
209
143
237
287
187
167
265
296
221
183
24
33
94
27
94
27
112
125
103
12
71
22
87
108
59
42
98
110
77
55
allowed services.
Again, we found no correlation
between area size and/or average
volume for E1390 per supplier and
maximum bid amounts. In addition,
CBAs that had the highest maximum
winning bids for code E0260 did not
always have the highest maximum
winning bids for code E1390. For
example, the Cape Coral-Fort Myers,
Florida CBA had the highest maximum
winning bid for E1390, but was tied for
the 55th highest maximum winning bid
for E0260. In many cases, national chain
suppliers for oxygen bid the same
amount in every area. For oxygen and
oxygen equipment (E1390), there were
six national chain suppliers that
submitted the same winning bid
amounts in at least 33 different CBAs
and four suppliers that submitted the
same winning bid amounts in at least 67
different CBAs. One of these suppliers
submitted the maximum winning bid
for E1390 of $106 in 93 different CBAs.
Maximum bid amounts can be bid
amounts from a single supplier (the
supplier submitting the pivotal bid),
which may or may not reflect the costs
of other suppliers and don’t seem to
show any pattern from area to area in
terms of some areas always having the
highest maximum bids for items and
other areas always having the lowest
maximum winning bids for items. The
maximum winning bids for items show
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no correlation with area size, volume, or
number of suppliers. In some cases, the
maximum bid amount is the same in
dozens of different CBAs across the
country. The maximum bids for lower
weight items are also impacted by
unbalanced bidding, whereby the
suppliers bid higher amounts for these
items knowing that they will have little
impact on their composite bid and
chances for winning.
3. Travel Distance Analysis
Section 16008 of the Cures Act
mandates that we take into account a
comparison of the average travel
distances associated with furnishing
items and services in CBAs and nonCBAs in making adjustments to fee
schedule amounts for items furnished
on or after January 1, 2019, based on
information from the CBP. We first
examined the average travel distances in
CBAs versus non-CBAs by analyzing
differences in the geographic size in
square miles of CBAs versus non-CBAs
consisting of MSAs and micropolitan
statistical areas (micro areas). The
majority of items subject to the fee
schedule adjustments are furnished in
these non-CBAs.
The U.S. Office of Management and
Budget (OMB) delineates MSAs and
micro areas, which are referred to
collectively as ‘‘core based statistical
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areas’’ (CBSAs). OMB set the standards
for delineating MSAs and micro areas in
the notice published on June 28, 2010
in the Federal Register, titled ‘‘2010
Standards for Delineating Metropolitan
and Micropolitan Statistical Areas’’ (75
FR 37245). The general concept of the
MSA and micro area is that of a core
area containing a substantial population
nucleus, together with adjacent
communities having a higher degree of
economic and social integration with
that core. CBSAs consist of counties and
equivalent entities throughout the U.S.
and Puerto Rico (75 FR 37249). A CBSA
is categorized based on the population
of the largest urban area (urbanized area
or urban cluster) within the CBSA (75
FR 37250). Each CBSA must have a
Census Bureau delineated urbanized
area of at least 50,000 population or a
Census Bureau delineated urban cluster
of at least 10,000 population (75 FR
37249). An urbanized area is a statistical
geographic entity delineated by the U.S.
Census Bureau, consisting of densely
settled census tracts and blocks and
adjacent densely settled territory that
together contain at least 50,000 people
(75 FR 37252). An urban cluster is a
statistical geographic entity delineated
by the U.S. Census Bureau, consisting of
densely settled census tracts and blocks
and adjacent densely settled territory
that together contain at least 2,500
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people (75 FR 37252). MSAs contain at
least one urbanized area that has a
population of at least 50,000; micro
areas contain at least one urban cluster
that has a population of at least 10,000
and less than 50,000 (75 FR 37252).
We compared the average size of the
different areas nationally and by Bureau
of Economic Analysis (BEA) region. We
also computed the weighted average
size of the different areas nationally and
by region, weighted by total population.
The CBAs have much larger service
areas than the non-CBA MSA and micro
areas. It is also worth noting that our
current definition of rural area for the
purposes of fee schedule adjustments in
non-CBAs includes micro areas (in
general, a rural area is currently defined
at 42 CFR 414.202 as any zip code area
where at least 50 percent of the area is
outside a MSA or with a low population
density that was excluded from a CBA).
Under the CBP, a contract supplier is
required to deliver items to any
beneficiary in the CBA that requests
service. The size of CBAs can be
compared to the size of non-CBAs to
indicate how far a supplier located in or
near the areas may have to travel to
serve beneficiaries located in the
various areas. As shown in Table 32, the
average size of CBAs in each of the eight
BEA regions is larger than the average
size of both non-rural areas and rural
areas classified as micro areas by OMB,
areas where competitive bidding, for the
most part, not yet been implemented,
and where the vast majority of items are
furnished in the non-CBAs.
TABLE 32—AVERAGE SIZE OF AREA
[Square miles]
BEA region
CBA
New England ...............................................................................................................................
Mideast ........................................................................................................................................
Great Lakes .................................................................................................................................
Plains ...........................................................................................................................................
Southeast .....................................................................................................................................
Southwest ....................................................................................................................................
Rocky Mountain ...........................................................................................................................
Far West ......................................................................................................................................
Average ........................................................................................................................................
The average non-CBA MSA size is 55
percent of the average CBA size and the
average non-CBA micro area size is 47
percent of the average CBA size. As
shown in Table 33, when weighting the
average size of the areas based on U.S.
Census total resident 2010 population
numbers, the differences in the average
size of the areas is similar to the
differences noted in Table 32. The
MSA
1,241
1,659
2,061
3,700
2,776
5,737
6,457
3,791
3,428
Micro
1,175
833
942
1,880
1,218
3,637
3,025
2,308
1,877
968
859
638
1,029
681
1,992
3,002
3,776
1,618
weighted average non-CBA MSA size is
57 percent of the weighted average CBA
size and the weighted average non-CBA
micro area size is 43 percent of the
weighted average CBA size.
TABLE 33—AVERAGE SIZE OF AREA (SQUARE MILES) WEIGHTED BY POPULATION
BEA region
CBA
sradovich on DSK3GMQ082PROD with PROPOSALS2
BEA Region .................................................................................................................................
New England ...............................................................................................................................
Mideast ........................................................................................................................................
Great Lakes .................................................................................................................................
Plains ...........................................................................................................................................
Southeast .....................................................................................................................................
Southwest ....................................................................................................................................
Rocky Mountain ...........................................................................................................................
Far West ......................................................................................................................................
Average ........................................................................................................................................
The size of the CBAs are much larger
than the size of the non-CBA MSAs and
micro areas where most of the items
subject to the fee schedule adjustments
are furnished. The contract suppliers
must serve every part of these areas and
have much larger travel distances on
average than suppliers in both non-CBA
urban areas (MSAs) and non-CBA rural
areas (areas outside MSAs).
The data in Table 34 shows what
percentage of suppliers furnishing items
and services subject to the fee schedule
adjustments are located in the same
areas where the items and services are
furnished (that is, the percentage of
suppliers located in the same area as the
beneficiary). We separated the data by
CBA, and then non-CBA MSA, micro
area, or Outside Core Based Statistical
MSA
CBA
1,624
1,718
2,707
4,371
5,780
7,917
5,559
3,833
4,189
Micro
MSA
1,273
937
1,875
3,169
1,517
3,510
3,934
2,749
2,371
Micro
1,094
1,016
711
1,157
911
2,355
3,494
3,582
1,790
Area (OCBSA), which are counties that
do not qualify for inclusion in a CBSA.
The data in Table 34 shows that the
majority of suppliers furnishing items
and services subject to the fee schedule
adjustments are located in the same
areas where these items and services are
furnished.
TABLE 34—PERCENTAGE OF ITEMS AND SERVICES IN 2016 FURNISHED BY SUPPLIERS
LOCATED IN THE SAME AREA AS THE BENEFICIARY
Hospital beds
(%)
Beneficiary area
CBAs ............................................................................................................................................
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68
19JYP2
Oxygen
(%)
All items
(%)
77
64
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Federal Register / Vol. 83, No. 139 / Thursday, July 19, 2018 / Proposed Rules
TABLE 34—PERCENTAGE OF ITEMS AND SERVICES IN 2016 FURNISHED BY SUPPLIERS—Continued
LOCATED IN THE SAME AREA AS THE BENEFICIARY
Hospital beds
(%)
Beneficiary area
Non-CBA MSAs ...........................................................................................................................
Non-CBA Micro Areas .................................................................................................................
Non-CBA OCBSAs ......................................................................................................................
We also compared the average travel
distances for suppliers in the different
areas using claims data for items and
services subject to the fee schedule
adjustments. For each allowed DME
item and service, we used the shortest
distance between the coordinates of the
beneficiary’s residential ZIP code and
those of the supplier’s ZIP code on the
surface of a globe as a proxy of DME
delivery distance. In addition, we
prioritized 9-digit ZIP codes over 5-digit
Oxygen
(%)
68
64
78
All items
(%)
63
61
82
65
61
81
ZIP codes when determining the
coordinates. The results in Table 35 are
for hospital beds and oxygen and
oxygen equipment, items that are most
likely to be delivered locally by
suppliers using company vehicles.
TABLE 35—AVERAGE NUMBER OF MILES BETWEEN SUPPLIER AND BENEFICIARY BASED ON CLAIMS FOR 2016
Beneficiary area
Hospital beds
CBAs ........................................................................................................................................................................
Non-CBA MSAs .......................................................................................................................................................
Non-CBA Micro Areas .............................................................................................................................................
Non-CBA OCBSAs ..................................................................................................................................................
These results indicate that the average
travel distances in CBAs are much
greater than the average travel distances
in all non-CBAs, but the data may be
skewed by claims for suppliers that put
a billing address on the claim that is not
the address of the location that
furnished the item (either a different
location or a subcontractor). The data
may also be skewed by claims where the
beneficiary receives the item from a
supplier in a different area because he
or she is travelling (for example,
‘‘snowbirds’’). To account for this, we
excluded data for claims where the
beneficiary address was more than two
states away from the supplier location
on the claim form, as these are likely
claims where the item was delivered
from a different location or by a subcontractor, or were claims for traveling
beneficiaries (that is, snowbirds and
other beneficiaries receiving items from
suppliers in locations other than their
permanent residence). We also excluded
data for suppliers with multiple
Oxygen
62
35
30
34
79
54
49
57
locations that always put the same
address on all of their claims. When
using data for this restricted population
(beneficiaries receiving items from
suppliers in same or adjoining states)
and these restricted suppliers (all
suppliers except those with multiple
locations that always bill from the same
location), the results on average
distances are significant, as shown in
Table 36 for hospital beds, oxygen and
oxygen equipment, and all items subject
to the fee schedule adjustments.
TABLE 36—AVERAGE NUMBER OF MILES BETWEEN SUPPLIER AND BENEFICIARY
BASED ON RESTRICTED CLAIMS FOR 2016 1
Beneficiary area
Hospital beds
CBAs ............................................................................................................................................
Non-CBA MSAs ...........................................................................................................................
Non-CBA Micro Areas .................................................................................................................
Non-CBA OCBSAs ......................................................................................................................
25
22
23
27
Oxygen
All items
21
19
21
30
27
24
27
36
sradovich on DSK3GMQ082PROD with PROPOSALS2
1 Claims where the supplier billing address is in the same or adjoining state as the beneficiary address, excluding claims from suppliers with
multiple locations that always use the same billing address.
Based on these results, the average
distances from the supplier to the
beneficiary in the CBAs are still greater
than the average distances from the
supplier to the beneficiary in the nonCBA MSAs and micro areas where most
of the items subject to the fee schedule
adjustments are furnished. However, the
average distances for other rural areas
(areas outside both MSAs and micro
areas) are slightly greater than the
average distances for the CBAs.
It is not surprising that the average
distances between supplier billing
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locations and beneficiary residences are
greater in CBAs than in non-CBA MSAs
and micro areas given the findings
above that the CBAs are much larger
areas and given that the majority of
items furnished in the various areas are
furnished by suppliers located in those
areas. Regardless of the type of area, it
makes sense that suppliers would locate
their businesses in the places where
most of the population resides (cities
and towns). The means that the average
distance travelled by the supplier will
be weighted heavily in favor of the
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shorter trips made from the location to
the beneficiaries living in the immediate
area. The supplier will also make much
longer trips, but these trips would not
have as great an impact on the average
travel distance as the trips made to the
population nucleus immediately
surrounding the supplier location.
We also did this same analysis
comparing average distances in CBAs
versus non-CBAs broken out not based
on whether the beneficiary resided in an
MSA, micro area, or OCBSA, but broken
out based on whether or not the
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Federal Register / Vol. 83, No. 139 / Thursday, July 19, 2018 / Proposed Rules
beneficiary resided in a super rural (SR)
area based on the definition of super
rural area used in the ambulance fee
schedule rules in § 414.610(c)(5)(ii).
Specifically, we used the April 2018
quarterly Zip Code to Carrier Locality
File. When doing so, we found that out
of all allowed services for DME items
subject to the fee schedule adjustments,
9 percent of allowed services were
furnished in SR areas. From 2015 to
2016, SR areas saw a 3 percent increase
in allowed services. At the product
category level, SR areas exhibit the same
level of change in service volume as the
rest of the nation. Without any data
restrictions, CBAs tend to have greater
average service distances than non-
CBAs. For the restricted population,
however, SR areas almost always show
the greatest average distance. Lastly, we
did not find any noticeable increase in
service distance from 2015 to 2016 for
any product category.
Table 37 shows the data for claims
from all suppliers and Table 38 shows
the data for the same restricted claims.
TABLE 37—AVERAGE NUMBER OF MILES BETWEEN SUPPLIER AND BENEFICIARY BASED ON CLAIMS FOR 2016
Beneficiary area
Hospital beds
CBAs ........................................................................................................................................................................
Non-SR Areas ..........................................................................................................................................................
SR Areas .................................................................................................................................................................
Oxygen
62
32
48
79
51
64
TABLE 38—AVERAGE NUMBER OF MILES BETWEEN SUPPLIER AND BENEFICIARY BASED ON RESTRICTED CLAIMS FOR
2016 1
Beneficiary area
Hospital beds
CBAs ............................................................................................................................................
Non-SR Areas ..............................................................................................................................
SR Areas .....................................................................................................................................
Oxygen
25
22
36
All items
21
19
35
27
25
41
1 Claims where the supplier billing address is in the same or adjoining state as the beneficiary address, excluding claims from suppliers with
multiple locations that always use the same billing address.
We also did this same analysis
comparing average distances in CBAs
versus non-CBAs broken out not based
on whether the beneficiary resided in an
MSA, micro area, or OCBSA, but broken
out based on whether or not the
beneficiary resided in a far and remote
(FAR) area. We examined whether the
beneficiary resided in a FAR area, as
defined by the Office of Rural Health
Policy in the Health Resources and
Services Administration in a final notice
published on May 5, 2014 in the
Federal Register, titled ‘‘Methodology
for Designation of Frontier and Remote
Areas’’ (79 FR 25599). FAR is a
statistical delineation that defines
frontier and remote areas based on
remoteness and population sparseness.
FAR areas are defined in relation to the
time it takes to travel by car to the edges
of nearby Census defined Urban Areas.
The Department of Agriculture
maintains a list of ZIP codes that
identify FAR areas in the U.S.
Specifically, we used the 2010 Frontier
and Remote Area Codes Data Files, last
updated by the Department of
Agriculture on April 15, 2015.18 There
are four levels of FAR, as rural areas
experience degrees of remoteness at
higher or lower population levels that
affect access to different types of goods
and services.
We looked at whether the beneficiary
resided in a FAR level 1 (FAR1) area:
An area with a population of less than
50,000 people located 60 minutes or
more from an area with a population of
at least 50,000 people. Roughly 7
percent of items and services subject to
competitive bidding nationally are
furnished in these FAR1 areas.
We also compared average distances
in CBAs versus non-CBAs broken out
based on whether the beneficiary
resided in a FAR level 3 (FAR3) area:
An area with a population of less than
10,000 people located 30 minutes or
more from an urban area of 10,000 to
24,999 people, 45 minutes or more from
an urban area of 25,000 to 49,999
people, and 60 minutes or more from an
urban area of 50,000 or more. Roughly
3 percent of items and services subject
to competitive bidding nationally are
furnished in these FAR3 areas.
Table 39 shows the data for claims
from all suppliers and Table 40 shows
the data for the same restricted claims.
TABLE 39—AVERAGE NUMBER OF MILES BETWEEN SUPPLIER AND BENEFICIARY BASED ON CLAIMS FOR 2016
Beneficiary area
Hospital beds
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CBAs ........................................................................................................................................................................
Non-FAR Areas .......................................................................................................................................................
FAR1 Areas .............................................................................................................................................................
FAR3 Areas .............................................................................................................................................................
Oxygen
62
33
40
49
79
52
57
72
TABLE 40—AVERAGE NUMBER OF MILES BETWEEN SUPPLIER AND BENEFICIARY
BASED ON RESTRICTED CLAIMS FOR 2016 1
Beneficiary area
Hospital beds
CBAs ............................................................................................................................................
25
18 https://www.ers.usda.gov/data-products/
frontier-and-remote-area-codes/.
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All items
21
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TABLE 40—AVERAGE NUMBER OF MILES BETWEEN SUPPLIER AND BENEFICIARY—Continued
BASED ON RESTRICTED CLAIMS FOR 2016 1
Beneficiary area
Hospital beds
Non-FAR Areas ...........................................................................................................................
FAR1 Areas .................................................................................................................................
FAR3 Areas .................................................................................................................................
22
29
37
Oxygen
All items
20
30
40
26
37
46
1 Claims where the supplier billing address is in the same or adjoining state as the beneficiary address, excluding claims from suppliers with
multiple locations that always use the same billing address.
Average distances between suppliers
and beneficiaries in areas falling under
the current definition of rural areas at
§ 414.202 are not greater than the
average distances in CBAs. When the
restricted data for rural areas for nonCBAs is broken out by micro area and
OCBSA, the distances are only slightly
greater for OCBSAs than CBAs.
However, when the restricted data for
non-CBAs in general is broken out based
on whether the non-CBA is a FAR3,
Super Rural, or OCBSA, the distances
between suppliers and beneficiaries are
much greater than for the CBAs.
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4. Cost Analysis
Section 16008 of the Cures Act
mandates that we take into account a
comparison of the average costs
associated with furnishing items and
services in CBAs and non-CBAs in
making adjustments to fee schedule
amounts for items furnished on or after
January 1, 2019, based on information
from the CBP. In our CY 2015 ESRD PPS
proposed rule published in the Federal
Register, titled ‘‘Medicare Program;
End-Stage Renal Disease Prospective
Payment System, Quality Incentive
Program, and Durable Medical
Equipment, Prosthetics, Orthotics, and
Supplies;’’ (79 FR 40279), we noted that
Congress previously mandated that the
costs of furnishing DME in different
geographic regions of the country be
studied. Section 135 of the Social
Security Act Amendments of 1994 (Pub.
L. 103–432), required an examination of
the geographic variations in DME
supplier costs in order to determine
whether the fee schedules are
reasonably adjusted to account for any
geographic differences. Jing Xing Health
and Safety Resources, Inc. provided
assistance to the Health Care Financing
Administration, now CMS, in
conducting this study. The project,
titled ‘‘Durable Medical Equipment
Supplier Product and Service Cost
Study’’, was completed under Contract
Number Health Care Financing
Administration (HCFA) 500–95–0044
and submitted to the agency in June
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1996.19 As part of the study, a Federal
Advisory Panel was convened, a formal
meeting with representatives of the
DME industry was held, and a literature
review was conducted. The general
consensus among industry
representatives and government
agencies that participated in the study
was that there is no conclusive evidence
that urban and rural costs differed
significantly or that the costs of
furnishing DME items and services were
higher in urban areas versus rural areas
or vice versa.
Jing Xing Health and Safety
Resources, Inc. summarized the findings
from the study in a report titled ‘‘Final
Report: Durable Medical Equipment
Supplier Product and Service Cost
Study’’, and stated that, ‘‘At one level,
it is intuitively obvious that certain
DME categories require a much larger
service component than others. To
illustrate, the service component in
providing oxygen equipment is a larger
proportion of costs than, for example,
selling a walker or cane. The latter does
not involve very much, if any, assembly,
patient education, maintenance, etc.’’
Additionally, ‘‘There was a general
consensus among study participants
that excluding the impact of volume
purchasing the costs of acquiring DME
items (that is, wholesale costs) are
generally the same around the country
with the possible exceptions of Alaska
and Hawaii where shipping costs are
greater. There was also general
agreement that service costs do vary
with the largest geographic variation
resulting from labor costs. Limited tests
using Medicare data provide support for
the theory that geographic variation in
the costs of providing DME is primarily
caused by service components.’’
In researching cost data for section
16008 of the Cures Act, we sought data
that was national in scope, robust, and
would allow us to access differences in
costs of furnishing items and services in
CBAs versus non-CBAs throughout the
country. We also primarily sought data
that was available at the county level, as
19 https://ia800903.us.archive.org/14/items/
durablemedicaleq00kowa/durablemedical
eq00kowa.pdf.
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this allowed us to compare CBA
counties to non-CBA counties. CBAs are
currently comprised of whole counties,
except when certain low population
density areas are excluded from a
county included in a CBA in accordance
with section 1847(a)(3)(A) of the Act.
We examined four sources of cost
data: (1) The Practice Expense
Geographic Practice Cost Index (PE
GPCI), (2) delivery driver wages from
the Bureau of Labor Statistics (BLS), (3)
real estate taxes from the U.S. Census
Bureau’s American Community Survey
(ACS), and (4) gas and utility prices
from the Consumer Price Index (CPI).
Overall, we found that CBAs tended to
have the highest costs out of the cost
data that we examined, when compared
to non-CBAs. We will now discuss the
cost data sources we examined, and the
methodology we used to analyze such
cost data.
a. Cost Data Methodology
We first examined the PE GPCI. CMS
first implemented the GPCIs as part of
the Medicare Physician Fee Schedule
(PFS) in 1992 (56 FR 59502). CMS must
review and, if necessary, adjust the
GPCIs at least every 3 years, as required
by section 1848(e)(1)(C) of the Act. The
most recent update occurred in 2017, in
which a final rule was published on
November 15, 2016 in the Federal
Register, titled ‘‘Medicare Program;
Revisions to Payment Policies Under the
Physician Fee Schedule and Other
Revisions to Part B for CY 2017;
Medicare Advantage Bid Pricing Data
Release; Medicare Advantage and Part D
Medical Loss Ratio Data Release;
Medicare Advantage Provider Network
Requirements; Expansion of Medicare
Diabetes Prevention Program Model;
Medicare Shared Savings Program
Requirements’’ (81 FR 80170). The PE
GPCIs are comprised of four component
indices (employee wages; purchased
services; office rent; and medical
equipment, supplies and other
miscellaneous expenses), and are
designed to measure the relative cost
difference in the mix of goods and
services comprising practice expenses
(not including malpractice expenses)
among the 89 PFS fee schedule areas
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throughout the nation, as compared to
the national average of these costs. The
current 89 fee schedule areas are
defined by state boundaries (for
example, Wisconsin), metropolitan
areas (for example, Metropolitan St.
Louis, MO), portions of a metropolitan
area (for example, Manhattan), or restof-state areas that exclude metropolitan
areas (for example, Rest of Missouri).
This configuration is used to calculate
the GPCIs that are in turn used to
calculate payments for physicians’
services under the PFS (81 FR 80263).
The employee wage index measures
several kinds of wages for clinical and
administrative office staff. The current
GPCI methodology relies on wage data
from occupations representing 100
percent of total non-physician wages in
the ‘‘offices of physicians: industry’’
from the BLS Occupational Employment
Statistics (OES). This includes wages for
‘‘Medical secretaries,’’ ‘‘Receptionists
and information clerks,’’ ‘‘Medical
records and health information
technicians,’’ and other additional
occupations.20
The purchased services index
includes BLS OES wages for
occupations employed in industries
from which physicians are likely to
purchase services, which includes the
cost of contracted services (for example,
accounting, legal). This includes wages
for ‘‘Commercial and industrial
machinery and equipment repair and
maintenance,’’ ‘‘Services to buildings
and dwellings,’’ and other additional
occupations.20
The office rent index measures
regional variation in the price of office
rents using residential rent data from
the U.S. Census Bureau’s American
Community Survey (ACS) on median
gross rents for two-bedroom apartments.
The ACS determines gross rent by
adding up the following: Contract rent
+ utilities (electricity, gas, and water
and sewer) + fuel (oil, coal, kerosene,
wood, etc.). As such, we are using the
PE GPCI as a proxy for commercial rent
and utilities.
In a final rule published on November
15, 2016 in the Federal Register, titled
‘‘Medicare Program; Revisions to
Payment Policies Under the Physician
Fee Schedule and Other Revisions to
Part B for CY 2017; Medicare Advantage
Bid Pricing Data Release; Medicare
Advantage and Part D Medical Loss
Ratio Data Release; Medicare Advantage
Provider Network Requirements;
Expansion of Medicare Diabetes
20 Proposed
Revisions to the Sixth Update of the
Geographic Practice Cost Index. https://
www.cms.gov/Medicare/Medicare-Fee-for-ServicePayment/PhysicianFeeSched/Downloads/CMS_
1524_P_CY2012_PFS_NPRM_GPCI_Revisions.pdf.
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Prevention Program Model; Medicare
Shared Savings Program Requirements’’
final rule (81 FR 80170), we stated
because Medicare is a national program,
and section 1848(e)(1)(A) of the Act
requires CMS to establish GPCIs to
measure relative cost differences among
localities compared to the national
average, we believe it is important to
use the best data that is available on a
nationwide basis, that is regularly
updated, and retains consistency areato-area, year-to-year (81 FR 80263). CMS
discussed how there is currently no
national data source available for
physician office or other comparable
commercial rents, which is why CMS
uses county-level residential rent data
from ACS as a proxy for the relative cost
differences in commercial office rents.
The ACS is administered by the U.S.
Census Bureau, which is a leading
source of national, robust, quality,
publicly available data. A commercial
data source for office rent that provided
for adequate representation of urban and
rural areas nationally would be
preferable to a residential rent proxy.
The GPCIs are not an absolute measure
of practice costs, rather they are a
measure of the relative cost differences
for each of the three GPCI components.
The U.S. Census Bureau is a federal
agency that specializes in data
collection, accuracy, and reliability, and
we believe that where such a publicly
available resource exists that can
provide useful data to assess geographic
cost differences in office rent, even
though it is a proxy for the exact data
we seek, we should utilize that available
resource.
Therefore, given its national
representation, reliability, high response
rate and frequent updates, we believe
the ACS residential rent data is the most
appropriate data source available at this
time for the purposes of analyzing rent
and utilities. It is also worth noting that
we examine utility prices from the CPI
as another source of cost data, which is
discussed further on in the preamble of
this proposed rule.
The medical equipment, supplies and
other miscellaneous expense cost index
component of the PE GPCI measures
practice expenses associated with a
wide range of costs that include
chemicals and rubber, to telephone and
postage. The medical equipment,
supplies, and miscellaneous expenses
index holds that there is a national
market for the items it measures such
that there is not significant geographic
variation in costs. Therefore, this index
is given a value of 1.000 for each PFS
fee schedule area. We discussed our
reasoning behind this in the final rule
published on November 15, 2004 in the
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Federal Register, titled ‘‘Medicare
Program; Revisions to Payment Policies
Under the Physician Fee Schedule for
Calendar Year 2005’’ (69 FR 66235),
stating ‘‘We were again unable to find
any data sources that demonstrated
price differences by geographic areas.
As mentioned in previous updates,
some price differences may exist, but
these differences are more likely to be
based on volume discounts rather than
on geographic areas.’’ Separately
billable items such as DMEPOS are
generally not included in this index, but
this finding is consistent with the
aforesaid findings from the Jing Xing
Health and Safety Resources, Inc. study.
The PE GPCIs are calculated at the fee
schedule area level after aggregating the
county-level component indexes. The
PE GPCI county level data are for
informational purposes only so that
interested parties can have a better
understanding of the data that underpin
their fee schedule area GPCI values. In
order to compare CBAs and non-CBAs,
we used CY 2017 PE GPCI county data
(CY 2017 PFS final rule (81 FR 80170))
found in the GPCI public use files.21
This allowed us to then map each
county in this dataset to either a CBA,
or non-CBA by MSA, micro area, or
OCBSA county, and to then see its
corresponding PE GPCI. The counties
and county equivalent names listed in
this file are from the 2010 U.S. Census.
When mapping counties to CBAs, we
selected all counties that were included
in Round 2 Recompete or Round 1 2017.
We then used OMB Bulletin No. 15–01
as the source for mapping the remaining
counties to either non-CBA by MSAs,
micro areas, or OCBSAs.22 After doing
this, we grouped all contiguous counties
of the U.S. with the same delineation
and BEA Region together. We grouped
any non-contiguous counties of the U.S.
with the same delineation together. We
then calculated the weighted average of
each delineation’s PE GPCI value using
U.S. Census 2010 total resident
population numbers for each county.
For this PE GPCI analysis, we included
all 50 states and the District of
Columbia.
Although counties in Puerto Rico and
the Virgin Islands have a PE GPCI value,
each is assigned the GPCI national
average of 1.0. For the Virgin Islands,
because county-level wage and rent data
are not available, and insufficient
malpractice premium data are available,
CMS has set the PE GPCI values for the
21 https://www.cms.gov/Medicare/Medicare-Feefor-Service-Payment/PhysicianFeeSched/PFSFederal-Regulation-Notices-Items/CMS-1654F.html.
22 https://www.whitehouse.gov/sites/
whitehouse.gov/files/omb/bulletins/2015/15-01.pdf.
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Virgin Islands fee schedule area at the
national average of 1.0 (81 FR 80269). In
an effort to provide greater consistency
in the calculation of GPCIs given the
lack of comprehensive data regarding
the validity of applying the proxy data
used in the states in accurately
accounting for variability of costs for
these island territories, we discussed in
a final rule published on November 15,
2016 in the Federal Register, titled
‘‘Medicare Program; Revisions to
Payment Policies Under the Physician
Fee Schedule and Other Revisions to
Part B for CY 2017; Medicare Advantage
Bid Pricing Data Release; Medicare
Advantage and Part D Medical Loss
Ratio Data Release; Medicare Advantage
Provider Network Requirements;
Expansion of Medicare Diabetes
Prevention Program Model; Medicare
Shared Savings Program Requirements’’
final rule (81 FR 80170) that we would
treat the Caribbean Island territories (the
Virgin Islands and Puerto Rico) in a
consistent manner. We thus finalized a
proposal to do so by assigning the
national average of 1.0 to each GPCI
index for both Puerto Rico and the
Virgin Islands. Thus, in calculating
weighted average PE GPCIs for noncontiguous areas, we only incorporated
PE GPCIs from Hawaii and Alaska.
Because stakeholders on the March
23, 2017 stakeholder call indicated that
deliveries make up a significant part of
the costs when furnishing items and
services, we examined delivery driver
wages as the next source of cost data.
The BLS OES provides delivery driver
wage data in the ‘‘53–0000
Transportation and Material Moving
Occupations’’ occupation group.
Specifically, we used the ‘‘53–3033
Light Truck or Delivery Services
Drivers’’ individual occupation wage
index, which is underneath the ‘‘53–
0000 Transportation and Material
Moving Occupations’’ occupation
group.
We used the median hourly wage
from the ‘‘53–3033 Light Truck or
Delivery Services Drivers’’ individual
occupation wage index as the source of
this delivery driver wage data. We used
median hourly wage values from the
May 2016 Metropolitan and
Nonmetropolitan Area Occupational
Employment and Wage Estimates.23
For this analysis, we used a similar
methodology that we used for the
aforesaid PE GPCI analysis. We mapped
each county to two areas: Its
corresponding delineation (CBA, nonCBA MSA, non-CBA micro area, or nonCBA OCBSA), and its BEA Region. We
then mapped counties to their
23 https://www.bls.gov/oes/tables.htm.
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corresponding median hourly wage by
using the May 2016 Metropolitan and
Nonmetropolitan Area Definitions
provided by the BLS.24 In cases where
BLS did not have a median hourly
delivery driver wage for a particular
county, we calculated and then assigned
such counties the median hourly
delivery driver wage for that county’s
state (this was the case for the following
counties: Bradley County, Tennessee
(TN); Polk County, TN; Los Alamos
County, New Mexico; Champaign
County, Illinois (IL); Piatt County, IL;
Ford County, IL; Kankakee County, IL).
In order to come up with an hourly
wage for each BEA Region and
delineation, we calculated the weighted
average of the median hourly wages for
the counties within each area, basing
the weighted average off of each
county’s U.S. Census total resident 2010
population numbers.
For New England states, the BLS
assigns wages to New England city and
town areas (NECTAs) instead of
metropolitan and non-metropolitan
areas that adhere to county boundaries,
which the BLS does for every other area
outside of New England. An issue with
assigning wages to NECTAs is that there
is not a one-to-one mapping of NECTAs
to counties, as the collection of
townships in a NECTA may not
completely cover a county. This results
in counties being represented in
multiple NECTAs. To address this issue,
we mapped NECTAs to New England
counties by using the U.S. Census
Bureau’s ‘‘NECTAs, NECTA divisions,
and combined NECTAs’’ file that is
based on OMB Bulletin No. 15–01
delineations.25 If a New England county
had more than one NECTA, we
calculated the weighted average of each
of its NECTAs’ median hourly wages.
We used total population estimates from
the 2016 ACS for the population
weighting (U.S. Census Bureau, 2012–
2016 ACS 5-Year Estimates).
OMB set the standards for NECTAs in
the notice published on June 28, 2010
in the Federal Register, titled ‘‘2010
Standards for Delineating Metropolitan
and Micropolitan Statistical Areas’’ (75
FR 37245). Based upon these standards,
10 counties in New England did not
have any towns or cities that qualified
as NECTAs (Aroostook County, Maine
(ME); Caledonia County, Vermont (VT);
Carroll County, New Hampshire; Essex
County, VT; Franklin County, ME; Knox
County, ME; Nantucket County,
Massachusetts; Orleans County, VT;
24 https://www.bls.gov/oes/current/msa_def.htm.
25 https://www.census.gov/geographies/referencefiles/time-series/demo/metro-micro/delineationfiles.html.
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Washington County, ME; and Windham
County, (VT). We assigned delivery
driver wages to these 10 counties based
upon which area each of these counties’
seat were located in the May 2016
Metropolitan and Nonmetropolitan Area
Definitions provided by BLS.26
We also used ACS data to examine
real estate taxes. We analyzed 2016 data
from the survey titled ‘‘Mortgage Status
by Median Real Estate Taxes Paid
(Dollars) Universe: Owner-occupied
housing units’’.27 In this survey, ACS
provides a median real estate tax for
each U.S. county, thus allowing us to
use a similar methodology that we used
for the PE GCPIs and delivery driver
wages. In order to come up with a real
estate tax value for each BEA Region
and delineation, we calculated the
weighted average of the median real
estate tax values for the counties within
each area, basing the weighted average
off of each county’s U.S. Census total
resident 2010 population numbers. It is
worth noting that the ACS measures real
estate taxes paid on housing units, not
business units. However, similar to our
reasoning above for using residential
rent data provided by the ACS as a
proxy for commercial rent, we believe
the ACS is a valuable tool in measuring
geographic differences in cost, and are
also using real estate taxes on housing
units as a proxy to measure taxes paid
on business units.
In order to further examine costs, we
also analyzed CPI data for gas and
utility prices. For each month in 2016,
BLS released a CPI detailed report with
monthly prices for various data
included in the CPI.28 In order to
analyze gas prices, we compiled the CPI
detailed report for every month in 2016,
and calculated the annual average for
the values in the ‘‘Gasoline All Types’’
index of ‘‘Table P3: Average prices for
gasoline, U.S. city average and selected
areas’’ of the CPI detailed report. In
order to analyze utility prices, we
compiled the CPI detailed report for
every month in 2016, and calculated the
annual average for the values in ‘‘Table
P2: Average residential unit prices and
consumption ranges for utility (piped)
gas and electricity for U.S. city average
and selected areas’’. Specifically, we
looked at the ‘‘Average price per therm
of utility (piped) gas’’ and the ‘‘Average
price per KWH of electricity’’ index in
the CPI report. As discussed earlier in
the preamble of this proposed rule, the
Office Rent Index of the PE GPCI
26 NACo Analysis of U.S. Census Bureau, NACo
Research, 2013.
27 U.S. Census Bureau, 2012–2016 American
Community Survey 5-Year Estimates.
28 https://www.bls.gov/cpi/cpi_dr.htm.
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already includes utilities in its
calculation, based on ACS residential
rent data. Nevertheless, we examined an
additional source of utility prices, in
order to further examine any potential
price trends.
BLS separates prices in these tables
based upon the following size classes:
A, B/C, and D. Size A represents
metropolitan areas with a population of
over 1,500,000, size B/C represents midsized and small metropolitan areas
(population of 50,000 to 1,500,000), and
size D represents nonmetropolitan
urban areas.29
An issue with CPI size classes is that
the CPI data cannot directly map to
every county and BEA Region in the
U.S., unlike the previously discussed
cost data. This is because the CPI data
is only available at the national level,
for a select number of metropolitan
areas, and for the four U.S. Census
Bureau Regions.
However, the CPI sampled a total of
87 Primary Sampling Units (PSUs) for
the 2016 CPI, which are the smallest
geographic areas in which pricing is
done for the CPI. Appendix 4 in Chapter
17 of the BLS Handbook of Methods
lists the 87 PSUs sampled in the 2016
CPI.30 Appendix 4 also lists the counties
in these PSUs that the CPI sampled,
which totaled 425 counties and
included counties in the contiguous and
non-contiguous U.S.
We found that CBA counties made up
the majority of size class A and B/C,
while non-CBA micro and OCBSA
counties made up the majority of size
class D. The exact number can be found
in Table 41, and the exact percentages
can be found in Table 42. In order to
identify the delineation of these
counties and to be consistent with our
previous cost data analyses, we used the
same reference materials that we used
for our previous cost data analyses:
county and county equivalent names
from the 2010 U.S. Census, and county
and county equivalent delineations from
OMB Bulletin No. 15–01.
It is worth noting that although the
CPI data is from 2016, the 2016 CPI
bases the counties and county
equivalents and their size classes off of
the 1990 decennial Census and its
Metropolitan Areas off of OMB Bulletin
No. 93–05.31 One implication of this is
that counties and county equivalents
sampled in the 2016 CPI may have
changed size classes based upon their
population numbers in the 2010 Census,
and their Metropolitan Area status in
OMB Bulletin No. 15–01. Further,
CBSAs, micro areas, and OCBSAs were
not a concept at the time in OMB
Bulletin No. 93–05. Additionally, the
counties and county equivalents that the
CPI sampled were based off of the 1990
U.S. Census, meaning that the CPI data
would not reflect any substantial
changes to counties and county
equivalent entities after 1990, as
indicated by the U.S. Census Bureau.32
However, most of the county and county
equivalent names that the CPI sampled
remained the same or were similar to
those in the 2010 U.S. Census, allowing
us to map the counties and county
equivalents listed in Appendix 4 of
Chapter 17 of the BLS Handbook of
Methods to those in the 2010 U.S.
Census. We also believe that this CPI
data is a valuable tool in examining
price trends for gas and utilities
amongst differently sized areas with
varying levels of urbanization. Further,
because we are able to know which
counties the CPI sampled, we are able
to know which size classes have CBA
and non-CBA counties, thus allowing us
to compare costs between CBAs and
non-CBAs, making it useful for our data
purposes in fulfilling section 16008 of
the Cures Act.
TABLE 41—NUMBER OF COUNTIES SAMPLED IN 2016 CPI
Delineation
Size A
Size B/C
Total number
counties
Size D
CBA ..................................................................................................................
Non-CBA MSA .................................................................................................
Non-CBA Micro ................................................................................................
Non-CBA OCBSA ............................................................................................
235
26
5
1
86
46
8
0
1
3
8
6
322
75
21
7
Total number Counties .............................................................................
267
140
18
425
TABLE 42—COUNTY DELINEATION PERCENTAGES FOR 2016 CPI
Size A
%
Delineation
Size B/C
%
Size D
%
88.01
9.74
1.87
0.37
61.43
32.86
5.71
0.00
5.56
16.67
44.44
33.33
Total ......................................................................................................................................
sradovich on DSK3GMQ082PROD with PROPOSALS2
CBA ..............................................................................................................................................
Non-CBA MSA .............................................................................................................................
Non-CBA Micro ............................................................................................................................
Non-CBA OCBSA ........................................................................................................................
100.00
100.00
100.00
b. Cost Data Results
We found that, on average, CBAs had
higher costs than non-CBAs, for most of
the cost data that we examined. For
instance, CBAs had the highest average
PE GPCI in every BEA Region, when
compared to the non-CBAs in each BEA
Region. CBAs had the highest average
driver wage in all but one BEA Region
(Rocky Mountain), when compared to
the non-CBAs in each Region. CBAs also
had the highest average real estate tax in
every BEA Region, when compared to
the non-CBAs in each BEA Region.
29 https://www.bls.gov/opub/mlr/1996/12/
art2full.pdf.
30 BLS Handbook of Methods. Chapter 17. The
Consumer Price Index. (Updated 06/2015).
31 https://www.bls.gov/opub/mlr/1996/12/
art2full.pdf.
32 https://www.census.gov/geo/reference/countychanges.html.
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Typically, the ranking from highest to
lowest cost delineation in each BEA
Region was the following: (1) CBA, (2)
non-CBA MSA, (3) non-CBA micro, and
(4) non-CBA OCBSA. Thus, the more
urbanized areas tended to have higher
costs than the less urbanized areas.
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Federal Register / Vol. 83, No. 139 / Thursday, July 19, 2018 / Proposed Rules
Additionally, we found that BEA
Regions have different costs. We
arranged the 8 BEA Regions into two
cost tiers, for each of the cost data that
we examined. The top tier included
BEA Regions where costs were, on
average, the highest. The bottom tier
included BEA Regions where costs
were, on average, the lowest. To be in
the top tier, a BEA Region had to have
a value that was in the top 50 percent
of all 8 BEA Region values. To be in the
bottom tier, a BEA Region had to have
a value that was in the bottom 50
percent of all 8 BEA Region values.
Overall, the Far West, Mideast, and New
England Regions tended to be in the top
cost tier for most of the cost data sources
that we examined. The Far West Region
was in the top cost tier most often,
indicating that its costs are amongst the
highest out of the 8 BEA Regions.
The Far West, New England, Mideast,
and Rocky Mountain BEA Regions were
in the top tier of average PE GPCI values
in the 8 BEA Regions. For instance,
when looking at the average PE GPCI
value for each of the 8 BEA Regions,
these 4 BEA Regions’ average PE GPCI
values were in the top 50 percent for
every delineation. The bottom tier
included the Great Lakes, Southwest,
Plains, and Southeast BEA Regions.
They were all in the bottom 50 percent
of average PE GPCI values, for every
delineation.
When looking at the average delivery
driver wage for each of the 8 BEA
Regions, the Plains and Far West
Regions’ average driver wage were in
the top 50 percent for every delineation.
New England, Mideast, and Rocky
Mountain were also a part of this top
tier, yet alternated in and out of the top
50 percent, depending on which
delineation we examined. The bottom
tier for delivery driver wages included
the Great Lakes, Southwest, and
Southeast BEA Regions.
For real estate taxes, the New England
and Mideast BEA Regions had
significantly higher real estate taxes, on
average, than every other BEA Region,
for each delineation. The BEA Regions
of New England, Mideast, Far West, and
the Great Lakes were in the top 50
percent of real estate taxes for every
delineation. The BEA Regions of
Southwest, Plains, Southeast, and Rocky
Mountain were in the bottom 50 percent
of real estate taxes for every delineation.
It is worth noting that we did not
include non-contiguous areas in the
average values for the 8 BEA Regions,
and instead counted non-contiguous
areas as their own type of area. In doing
so, we found that the average PE GPCI
for non-contiguous delineations (in
Alaska and Hawaii) were higher than
every other delineation in the 8 BEA
Regions. Additionally, the average
driver wage for non-contiguous
34375
delineations (in Alaska and Hawaii),
were higher than every other
delineation in the 8 BEA Regions,
except for non-contiguous micro areas,
which were only lower than driver
wages in the micro areas of the Rocky
Mountain BEA Region. When we
included driver wages from Puerto Rico
in the non-contiguous average driver
wage calculation (along with Alaska and
Hawaii), the Puerto Rico driver wages
lowered the average non-contiguous
driver wages so that OCBSAs were then
the only non-contiguous delineation
with a higher value than delineations in
the 8 BEA Regions.
Lastly, there were certain non-CBA
counties around the country that had
relatively high driver wages—driver
wages that were higher than that of CBA
counties. These counties primarily were
in the Plains, Rocky Mountain, and Far
West BEA Regions. Many of these nonCBA counties with higher driver wages
were either OCBSAs or micro areas.
However, many other OCBSA or micro
counties elsewhere in the country had
relatively low driver wages. It is also
worth noting that these very same
counties that had higher driver wages
had relatively low PE GPCI values and
real estate taxes.
Table 43 shows the summary of these
cost data results.
TABLE 43—AVERAGE COSTS BY BEA REGION
sradovich on DSK3GMQ082PROD with PROPOSALS2
BEA region
Delineation
Far West ..........................................................................................................
Far West ..........................................................................................................
Far West ..........................................................................................................
Far West ..........................................................................................................
Great Lakes .....................................................................................................
Great Lakes .....................................................................................................
Great Lakes .....................................................................................................
Great Lakes .....................................................................................................
Mideast ............................................................................................................
Mideast ............................................................................................................
Mideast ............................................................................................................
Mideast ............................................................................................................
New England ...................................................................................................
New England ...................................................................................................
New England ...................................................................................................
New England ...................................................................................................
Plains ...............................................................................................................
Plains ...............................................................................................................
Plains ...............................................................................................................
Plains ...............................................................................................................
Rocky Mountain ...............................................................................................
Rocky Mountain ...............................................................................................
Rocky Mountain ...............................................................................................
Rocky Mountain ...............................................................................................
Southeast .........................................................................................................
Southeast .........................................................................................................
Southeast .........................................................................................................
Southeast .........................................................................................................
Southwest ........................................................................................................
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PE GPCI
CBA
MSA
Micro
OCBSA
CBA
MSA
Micro
OCBSA
CBA
MSA
Micro
OCBSA
CBA
MSA
Micro
OCBSA
CBA
MSA
Micro
OCBSA
CBA
MSA
Micro
OCBSA
CBA
MSA
Micro
OCBSA
CBA
E:\FR\FM\19JYP2.SGM
1.14
1.03
0.96
0.96
0.97
0.92
0.87
0.86
1.11
0.96
0.89
0.89
1.10
1.02
1.00
0.93
0.98
0.90
0.87
0.84
1.00
0.93
0.93
0.88
0.97
0.90
0.84
0.83
0.97
19JYP2
Average
median
driver wage
per hour
$15.79
15.11
15.04
15.06
14.77
14.08
13.19
12.85
15.92
13.92
12.97
13.46
16.49
14.88
14.02
13.17
16.20
14.45
13.34
13.52
15.28
14.60
16.09
15.64
14.47
13.19
12.38
12.12
14.38
Annual
residential
real estate
tax
$3,463.59
2,413.43
1,778.87
1,663.85
3,338.46
2,322.51
1,629.62
1,491.14
5,245.05
3,132.32
2,102.79
2,208.62
4,725.59
3,739.11
4,065.67
2,317.18
2,408.32
2,049.21
1,489.76
1,160.55
1,658.02
1,506.69
1,428.58
1,047.09
1,821.26
1,094.17
787.18
624.88
2,643.70
34376
Federal Register / Vol. 83, No. 139 / Thursday, July 19, 2018 / Proposed Rules
TABLE 43—AVERAGE COSTS BY BEA REGION—Continued
BEA region
Delineation
Southwest ........................................................................................................
Southwest ........................................................................................................
Southwest ........................................................................................................
PE GPCI
MSA
Micro
OCBSA
Average
median
driver wage
per hour
0.91
0.87
0.85
Annual
residential
real estate
tax
13.42
12.96
12.66
1,698.48
1,054.82
915.76
Tables 44 through 46 summarize the
data at the national contiguous level and
for non-contiguous areas.
TABLE 44—AVERAGE COSTS FOR THE CONTIGUOUS U.S.
Delineation
PE GPCI
CBA ..............................................................................................................................................
MSA .............................................................................................................................................
Micro ............................................................................................................................................
OCBSA ........................................................................................................................................
Average
median
driver
wage per
hour
1.04
0.93
0.88
0.85
Annual
residential
real estate
tax
$15.24
13.95
13.23
12.95
$3,301.60
1,943.28
1,415.56
1,083.05
TABLE 45—AVERAGE COSTS FOR THE NON-CONTIGUOUS U.S. (ALASKA, HAWAII)
Delineation
PE GPCI
CBA (Honolulu, HI) ......................................................................................................................
MSA .............................................................................................................................................
Micro ............................................................................................................................................
OCBSA ........................................................................................................................................
1.17
1.11
1.05
1.09
Average
median
driver
wage per
hour
Annual
residential
real estate
tax
$15.35
19.12
15.42
21.65
$1,710.00
2,863.27
1,230.27
1,600.30
TABLE 46—AVERAGE COSTS FOR THE NON-CONTIGUOUS U.S. (ALASKA, HAWAII, AND PUERTO RICO)
Delineation
PE GPCI
sradovich on DSK3GMQ082PROD with PROPOSALS2
CBA (Honolulu, HI) ......................................................................................................................
MSA .............................................................................................................................................
Micro ............................................................................................................................................
OCBSA ........................................................................................................................................
As discussed earlier, BLS separates
certain CPI data based upon the
following size classes: A, B/C, and D.
Size A represents metropolitan areas
with a population of over 1,500,000
people, size B/C represents mid-sized
and small metropolitan areas
(population of 50,000 to 1,500,000), and
size D represents nonmetropolitan
urban areas.33 For the gas and utility CPI
data in Tables 50, 51, and 52, the typical
ranking was the following from highest
to lowest price: (1) size class A, (2) size
33 https://www.bls.gov/opub/mlr/1996/12/
art2full.pdf.
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class B/C, and (3) size class D. This is
thus similar to our other cost data
summarized in Tables 43, 44, 45, and
46, in that the more populated urban
areas (size class A and B/C) tended to
have higher average costs than the less
populated urban areas (size class D).
Additionally, CPI size classes with more
CBA counties (size class A and B/C)
tended to have higher average costs than
size classes with more non-CBA
counties (size class D). Thus, we
conclude based off this CPI data in
Tables 47, 48, and 49, that CBAs
generally have higher gas prices and
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1.17
1.02
1.04
1.08
Average
median
driver
wage per
hour
$15.35
10.39
13.33
19.98
Annual
residential
real estate
tax
$1,710.00
846.20
958.94
1,429.99
residential utility prices, on average,
than non-CBAs.
TABLE 47—AVERAGE PRICES FOR
GASOLINE, U.S. CITY AVERAGE AND
SELECTED AREAS
[Per Gallon]
Gasoline all Types
Urban area size class
A ...........................................
B/C ........................................
D ...........................................
E:\FR\FM\19JYP2.SGM
19JYP2
National
average
2016
$2.296
2.102
2.128
Federal Register / Vol. 83, No. 139 / Thursday, July 19, 2018 / Proposed Rules
TABLE 48—AVERAGE RESIDENTIAL
UNIT PRICES AND CONSUMPTION
RANGES FOR UTILITY (PIPED) GAS
AND ELECTRICITY FOR U.S. CITY
AVERAGE AND SELECTED AREAS
Average Price per KWH of Electricity
Urban area size class
A ...........................................
B/C ........................................
D ...........................................
National
average
2016
$0.150
0.125
0.117
34377
comparison of the average volume of
items and services furnished by
suppliers in CBAs and non-CBAs in
making adjustments to fee schedule
amounts for items furnished on or after
January 1, 2019, based on information
Average Price per Therm of Utility (Piped) Gas
from the CBP. We found that in virtually
all cases, the average volume of items
National
and services for suppliers when
Urban area size class
average
2016
furnishing those items to the various
areas is higher in CBAs than non-CBAs.
A ...........................................
$0.949
B/C ........................................
0.894 As indicated in Table 50, the difference
D ...........................................
0.829 in volume is more pronounced as the
size of the area in terms of population
declines.
5. The Average Volume of Items and
Services Furnished by Suppliers in the
Area Analysis
Section 16008 of the Cures Act
mandates that we take into account a
TABLE 49—AVERAGE RESIDENTIAL
UNIT PRICES AND CONSUMPTION
RANGES FOR UTILITY (PIPED) GAS
AND ELECTRICITY FOR U.S. CITY
AVERAGE AND SELECTED AREAS
TABLE 50—ALLOWED SERVICES PER SUPPLIER IN 2015 AND 2016 FOR ITEMS SUBJECT TO THE FEE SCHEDULE
ADJUSTMENTS
Allowed
services
(2015)
Areas
Suppliers
serving area
(2015)
Allowed
services per
supplier
(2015)
Allowed
services
(2016)
Suppliers
serving area
(2016)
Allowed
services per
supplier
(2016)
CPAP & RADs
CBAs ........................................................
Non-CBA MSAs .......................................
Non-CBA Rural ........................................
9,140,617
4,780,160
4,318,843
4,091
4,977
5,519
2,234
960
783
10,634,486
5,474,533
4,928,348
4,064
4,918
5,372
2,617
1,113
917
1,373
771
849
6,265,856
3,662,808
4,420,783
4,289
4,548
5,036
1,461
805
878
273
184
196
1,769,830
1,032,926
1,267,774
6,392
5,742
6,509
277
180
195
464
139
110
1,624,569
658,504
609,432
3,419
4,451
5,190
475
148
117
461
123
82
1,388,992
456,145
355,364
2,909
3,388
3,938
477
135
90
281
81
74
781,486
310,312
331,278
2,707
3,647
4,212
289
85
79
562
216
169
641,192
258,168
224,845
1,329
1,388
1,498
482
186
150
131
48
465,134
248,570
3,722
5,138
125
48
Oxygen
CBAs ........................................................
Non-CBA MSAs .......................................
Non-CBA Rural ........................................
6,406,412
3,766,780
4,521,374
4,667
4,883
5,325
Nebulizers
CBAs ........................................................
Non-CBA MSAs .......................................
Non-CBA Rural ........................................
2,088,109
1,132,972
1,372,641
7,643
6,167
7,002
Standard Wheelchairs
CBAs ........................................................
Non-CBA MSAs .......................................
Non-CBA Rural ........................................
1,589,682
652,588
600,098
3,428
4,687
5,441
WC Accessories
CBAs ........................................................
Non-CBA MSAs .......................................
Non-CBA Rural ........................................
1,339,631
431,487
334,264
2,903
3,505
4,093
Hospital Beds
sradovich on DSK3GMQ082PROD with PROPOSALS2
CBAs ........................................................
Non-CBA MSAs .......................................
Non-CBA Rural ........................................
791,371
314,095
332,047
2,814
3,870
4,460
Infusion Pumps
CBAs ........................................................
Non-CBA MSAs .......................................
Non-CBA Rural ........................................
741,236
305,067
268,204
1,320
1,415
1,589
Walkers
CBAs ........................................................
Non-CBA MSAs .......................................
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34378
Federal Register / Vol. 83, No. 139 / Thursday, July 19, 2018 / Proposed Rules
TABLE 50—ALLOWED SERVICES PER SUPPLIER IN 2015 AND 2016 FOR ITEMS SUBJECT TO THE FEE SCHEDULE
ADJUSTMENTS—Continued
Allowed
services
(2015)
Areas
Non-CBA Rural ........................................
Suppliers
serving area
(2015)
230,651
Allowed
services per
supplier
(2015)
6,488
Allowed
services
(2016)
Suppliers
serving area
(2016)
Allowed
services per
supplier
(2016)
36
227,668
6,094
37
52
22
17
177,339
67,323
61,175
3,010
2,838
3,483
59
24
18
129
63
49
182,375
87,326
79,939
1,380
1,347
1,532
132
65
52
66
25
19
156,168
53,969
50,405
2,223
2,124
2,532
70
25
20
71
24
18
128,033
50,267
47,402
1,725
2,113
2,519
74
24
19
102
71
63
53,695
28,878
28,207
1,031
697
791
52
41
36
6
4
5
3,026
2,652
4,439
715
746
1,151
4
4
4
5
3
3
1,295
618
544
236
199
171
5
3
3
Commode Chairs
CBAs ........................................................
Non-CBA MSAs .......................................
Non-CBA Rural ........................................
191,538
69,232
63,932
3,656
3,193
3,845
NPWT
CBAs ........................................................
Non-CBA MSAs .......................................
Non-CBA Rural ........................................
182,939
86,421
76,583
1,413
1,371
1,565
Patient Lifts
CBAs ........................................................
Non-CBA MSAs .......................................
Non-CBA Rural ........................................
161,975
55,504
52,133
2,450
2,262
2,724
Support Surfaces
CBAs ........................................................
Non-CBA MSAs .......................................
Non-CBA Rural ........................................
131,756
51,675
47,302
1,859
2,186
2,665
TENS
CBAs ........................................................
Non-CBA MSAs .......................................
Non-CBA Rural ........................................
119,135
55,563
55,020
1,164
780
867
Seat Lifts
CBAs ........................................................
Non-CBA MSAs .......................................
Non-CBA Rural ........................................
5,925
3,774
6,032
1,057
927
1,326
Complex Wheelchairs
CBAs ........................................................
Non-CBA MSAs .......................................
Non-CBA Rural ........................................
1,059
581
420
209
176
140
sradovich on DSK3GMQ082PROD with PROPOSALS2
Notes: Complex wheelchairs include Group 2 complex rehabilitative power wheelchair bases.
One factor to consider is that as a
supplier’s volume increases, the overall
costs of furnishing those items also
increases due to the need to purchase
more delivery vehicles, hire additional
employees, expand warehouse and
office space, purchase additional office
equipment, additional use of gas and
other utilities, etc.
Past stakeholder input and studies
suggest that delivery costs and wages
affect a suppliers’ overall costs more
than equipment acquisition costs and
volume discounts. In 2006, Morrison
Informatics, Inc. conducted a study for
the American Association for Homecare
titled ‘‘A Comprehensive Cost Analysis
of Medicare Home Oxygen Therapy’’,
which used a survey of 74 oxygen
suppliers to determine which factors are
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more important in influencing oxygen
suppliers’ cost of furnishing oxygen and
oxygen equipment. The study
concluded that equipment acquisition
only accounted for 28 percent of the
cost of providing medically necessary
oxygen to Medicare beneficiaries. This
study concluded that services such as
preparing and delivering equipment,
driving to the home to repair and
maintain equipment, training and
educating patients, obtaining required
medical necessity documentation,
customer service, and operating and
overhead costs accounted for 72 percent
of overall costs. Our data indicates that
delivery, wages, gasoline, utilities, office
rental, and other overhead costs are
lower in non-CBAs than in CBAs, and
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the findings of the Morrison study
indicate that these costs represent a
majority of the supplier’s overall cost.34
Table 2 from the Morrison study
provided a breakdown of an oxygen
supplier’s monthly cost per patient of
$201.20 into seven components: One for
equipment cost; four for labor for
various tasks; one for delivery; and one
for overhead, including rent and other
facility costs. Table 51 represents that
table from the study.
34 Morrison Informatics, Inc., A Comprehensive
Cost Analysis of Medicare Home Oxygen Therapy
(Mechanicsburg, Pa.: June 27, 2006).
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Federal Register / Vol. 83, No. 139 / Thursday, July 19, 2018 / Proposed Rules
TABLE 51—2006 OXYGEN SUPPLIER
COST SURVEY BY MORRISON
INFORMATICS, INC
Cost component
TABLE 51—2006 OXYGEN SUPPLIER
COST SURVEY BY MORRISON
INFORMATICS, INC—Continued
Average
cost perpatient
per-month
1. SYSTEM ACQUISITION 1
2. INTAKE AND CUSTOMER SERVICE 2 ..........
3. PREPARATION, RETURN, DISPOSABLES,
AND SCHEDULED MAINTENANCE 3 .......................
4. UNSCHEDULED REPAIRS AND MAINTENANCE 4 ...........................
5. PATIENT ASSESSMENT,
TRAINING, EDUCATION
AND MONITORING 5 ........
6. DELIVERY ASSOCIATED
WITH PREPARATION,
RETURN, DISPOSABLES,
AND SCHEDULED MAINTENANCE 6 .......................
Average
cost perpatient
per-month
Cost component
$55.81
12.66
25.24
6.10
17.54
7. OTHER MONTHLY OPERATING AND OVERHEAD 7 ..............................
8. TOTAL DIRECT COST
BEFORE TAXES ..............
41.59
201.20
1 The amount includes acquisition costs for
stationary, portable and backup units, conserving devices, ancillary equipment and accessories, and oxygen system contents (liquid
and gaseous oxygen).
2 The amount includes labor associated with
patient intake functions, ongoing customer
service (patient inquiries, scheduling of deliveries/maintenance/clinical visits, accommodating patient travel plans), and initial and renewal prescription processing.
42.26
34379
3 The amount includes labor associated with
equipment preparation (testing, cleaning, and
repair), equipment set-up and maintenance
upon return, initial patient instruction, cost of
disposable and maintenance supplies, and
labor costs associated with scheduled preventive equipment maintenance.
4 The amount includes labor and vehicle
costs associated with unscheduled equipment
repair and maintenance.
5 The amount includes labor and travel costs
associated with clinical visits by respiratory
care practitioner, in-home patient assessments
(including home environment safety assessment and oxygen therapy plan of care), training, education and compliance monitoring.
6 The amount includes delivery costs associated with oxygen fills (liquid and gaseous oxygen), preparation, return, disposables and
scheduled maintenance.
7 The amount includes rent and other facility
costs, administration, insurance, legal, regulatory compliance, MIS systems/controls, communications systems, employee training, accreditation, supplies, billing and compliance
functions.
Table 52 combines the monthly costs
from Table 2 of the Morrison study into
the major components of a DME
supplier’s costs: Equipment cost; labor
cost; delivery cost; and overhead.
TABLE 52—DOLLAR COST BREAKOUT FOR DME SUPPLIER OF OXYGEN AND OXYGEN EQUIPMENT
Percentage
of total cost
(percent)
Component
$55.81 .......................................................
61.54 .........................................................
42.26 .........................................................
41.59 .........................................................
201.20 .......................................................
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Monthly average cost per beneficiary
Oxygen Equipment .......................................................................................................
Combined Labor Costs ................................................................................................
Delivery ........................................................................................................................
Overhead ......................................................................................................................
Total Cost Per Month ...................................................................................................
The average volume of oxygen
equipment furnished by suppliers in
CBAs is greater than the average volume
of oxygen equipment furnished by
suppliers in non-CBAs, particularly
rural areas, as shown previously in
Table 50. But volume discounts
associated with bulk purchasing of
oxygen equipment, or the lack thereof,
would only impact 28 percent of the
suppliers’ total cost per month
according to the Morrison study. The
Morrison study concludes that labor,
delivery, and overhead costs combined
account for far more of the oxygen
supplier’s overall cost (72 percent) than
the cost of the oxygen equipment (28
percent). Even if the supplier received a
25 percent volume discount on the price
of the equipment from the
manufacturer, reducing its monthly cost
for the equipment from $55.81 to
$41.86, this savings would be more than
cancelled out if the supplier’s labor,
delivery, and overhead costs are just 10
percent higher than the supplier in the
area with lower costs and lower volume.
Also, as a supplier increases their
volume, the costs associated with labor,
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delivery, and overhead also increase
proportionally. The conclusion drawn
from the Morrison study is that although
the average volume of oxygen and
oxygen equipment furnished by
suppliers in the CBAs may be higher
than the average volume of oxygen and
oxygen equipment furnished by
suppliers in the non-CBA areas, this
factor alone does not mean that the
overall costs of furnishing oxygen and
oxygen equipment in the CBAs is lower
than the overall costs of furnishing
oxygen and oxygen equipment in the
non-CBAs. Our data indicates that the
labor, delivery, and overhead costs of
suppliers furnishing oxygen and oxygen
equipment in CBAs are higher than the
labor, delivery, and overhead costs of
suppliers furnishing oxygen and oxygen
equipment in non-CBAs, and the
Morrison study concludes that these
costs make up 72 percent of the oxygen
supplier’s overall costs.
6. Number of Suppliers Analysis
Section 16008 of the Cures Act
mandates that we take into account a
comparison of the number of suppliers
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28
30
21
21
100
in CBAs and non-CBAs in making
adjustments to fee schedule amounts for
items furnished on or after January 1,
2019, based on information from the
CBP. We examined data regarding the
number of suppliers serving the various
CBAs and did not find any correlation
between number of suppliers and SPA
or maximum winning bid amount. We
are not certain how much this factor
might affect costs in terms of
competition for business or serving
areas with a limited number of
suppliers, but it does not appear to have
been a factor under the competitive
bidding program in terms of bids
submitted in the various CBAs.
Data for number of suppliers per area
and product category did not change
significantly in 2016 from levels in
2015. There was at least a double digit
number of suppliers serving non-CBAs
in almost every MSA, micro area or
other rural counties for items subject to
the fee schedule reductions. The
number of suppliers in the non-CBAs
decreased by a little over 6 percent in
2016 overall, while volume per supplier
increased, suggesting a consolidation in
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the number of locations serving the nonCBAs.
We believe that one of the most
critical items subject to the fee schedule
adjustments in terms of beneficiary
access is oxygen and oxygen equipment.
If access to oxygen and oxygen
equipment is denied to a beneficiary
who needs oxygen, this can have serious
health implications. Oxygen and oxygen
equipment is also an item that must be
delivered to the beneficiary and set up
and used properly in the home for safety
reasons. Access to oxygen and oxygen
equipment in remote areas is critical
and this has been stressed by
stakeholders. To determine if there were
pockets of the country where access to
oxygen and oxygen equipment was in
jeopardy, we looked at data showing
how many non-CBA counties are being
served by only one oxygen supplier.
This data shows that these instances are
extremely rare (35 counties out of about
2,700 counties in 2016 and 2017) and
that the suppliers serving these counties
are all accepting the fully adjusted fee
schedule amounts as payment in full
100 percent of the time. Of the 35
counties, 28 have only one beneficiary
using oxygen, so only one supplier
could serve these counties at one time,
meaning that there may be other
suppliers able to serve these areas as
well if there were more beneficiaries
using oxygen in these areas. Also of
note, 28 of these counties are from
Puerto Rico (25), Alaska (2), or the
Virgin Islands (1), and the suppliers for
these non-contiguous areas are all
accepting the fully adjusted fee
schedule amounts as payment in full
100 percent of the time and are
continuing to serve these areas.
7. Fee Schedule Adjustment Impact
Monitoring Data
Regarding adverse beneficiary health
outcomes, we have been monitoring
claims data from non-CBAs and it does
not show any observable trends
indicating an increase in adverse health
outcomes such as mortality, hospital
and nursing home admission rates,
monthly hospital and nursing home
days, physician visit rates, or emergency
room visits in 2016, 2017, or 2018
compared to 2015 in the non-CBAs,
overall. In addition, we have been
monitoring data on the rate of
assignment in non-CBAs and it remains
high (over 99 percent) in most areas,
which reflects when suppliers are
accepting Medicare payment as
payment in full and not balance billing
beneficiaries for the cost of the DME.
We are, however, soliciting comments
on ways to improve our fee schedule
adjustment impact monitoring data.
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8. Summary of Our Findings
A brief summary of our general
findings gathered in accordance with
section 16008 of the Cures Act are as
follows:
Highest Winning Bid
Highest winning bids from Round 2
Recompete varied widely across the
CBAs and the variance does not appear
to be based on any geographic factor
(that is, there is no pattern of maximum
bid amounts for items being higher in
certain CBAs or regions of the country
versus others).
Stakeholder Input
Stakeholders, most of which were
suppliers, stated that the fully adjusted
fee schedule amounts are not sufficient
to cover supplier costs for furnishing
items and services in non-CBAs.
Stakeholders also stated that the number
of suppliers furnishing items in these
areas continues to decline, the average
travel distance and cost for suppliers
serving rural areas are greater than the
average travel distance and cost for
suppliers serving CBAs, and that the
average volume of services furnished by
suppliers when serving non-CBAs are
lower than the average volume of
services furnished by suppliers when
serving CBAs. Many commenters also
stated that the adjusted fee schedule
amounts have caused or will cause
beneficiary access issues, and that
beneficiaries are going without items
and that this is causing adverse health
outcomes. Several commenters stated
that they have reduced the size of their
service area due to the level of
reimbursement that they are receiving.
Five commenters suggested that the
adjusted fee schedule amounts be based
on maximum winning bids in CBAs.
Distance
From our analysis presented in this
rule, the average distance traveled in
CBAs is generally greater than in most
non-CBAs. However, when looking at
certain non-CBA rural areas such as
FAR, OCBSAs, and super rural areas,
suppliers generally must travel farther
distances to beneficiaries located in
these areas than beneficiaries located in
CBAs and other non-CBAs.
Costs
Costs, on average, are higher in CBAs
than they are in the non-CBAs, for most
of the cost data that we examined and
presented in this proposed rule.
Volume
Overall, suppliers in CBAs have
significantly more volume than
suppliers in either non-CBA MSAs,
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micro areas, or OCBSAs, based on
claims data we examined and the
analysis presented in this proposed rule.
Number of Suppliers
The number of suppliers in the nonCBAs decreased by a little over 6
percent in 2016 overall, while volume
per supplier increased, suggesting a
consolidation in the number of locations
serving the non-CBAs. Instances of
beneficiaries located in areas being
served by one supplier were extremely
rare, when looking at users of oxygen
and oxygen equipment, and were mostly
in non-contiguous areas of the country.
The suppliers for these non-contiguous
areas were all accepting the fully
adjusted fee schedule amounts as
payment in full 100 percent of the time
in 2016 and 2017. We also did not find
any correlation between number of
suppliers and SPA or maximum
winning bid amount.
We are soliciting comments on these
findings.
B. Current Issues
1. Proposed Fee Schedule Adjustments
for Items and Services Furnished in
Non-Competitive Bidding Areas During
a Gap in the DMEPOS CBP
As indicated in section V.D.2 of
section V ‘‘Changes to the Durable
Medical Equipment, Prosthetics,
Orthotics, and Supplies (DMEPOS)
Competitive Bidding Program (CBP)’’ of
the proposed rule, we are proposing to
make changes to the DMEPOS CBP
effective January 1, 2019. The proposed
changes to the CBP would be effective
for competitions beginning on or after
January 1, 2019. The Round 2
Recompete, National Mail-Order
Recompete, and Round 1 2017 contract
periods of performance will end on
December 31, 2018. Competitive
bidding for items furnished on or after
January 1, 2019 has not yet begun, and
therefore, we do not expect that CBP
contracts would be in place on January
1, 2019. Thus we anticipate that there
would be a gap in the CBP beginning
January 1, 2019. During a gap in the CBP
beginning January 1, 2019, there would
be no contract suppliers and payment
for all items and services previously
included under the CBP would be based
on the lower of the supplier’s charge for
the item or fee schedule amounts
adjusted in accordance with sections
1834(a)(1)(F) and 1842(s)(3)(B) of the
Act. We are proposing specific fee
schedule adjustments as a way to
temporarily pay for items and services
in the event of a gap in the CBP due to
CMS being unable to timely recompete
CBP contracts before the current
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DMEPOS competitive bidding contract
periods of performance end.
We are proposing three different fee
schedule adjustment methodologies
depending on the area in which the
items and services are furnished: (1)
One fee schedule adjustment
methodology for DME items and
services furnished on or after January 1,
2019, in areas that are currently CBAs
in the event of a gap in the CBP; (2)
another fee schedule adjustment
methodology for items and services
furnished from January 1, 2019, through
December 31, 2020, in areas that are
currently not CBAs, are not rural areas,
and are located in the contiguous
United States (U.S.); and (3) another fee
schedule adjustment methodology for
items and services furnished from
January 1, 2019, through December 31,
2020, in areas that are currently not
CBAs and are either rural areas or noncontiguous areas.
With regard to section 16008 of the
Cures Act, we have taken the
information mandated by section 16008
of the Cures Act into account as part of
developing the proposed fee schedule
adjustments for items and services
furnished on or after January 1, 2019
through December 31, 2020, in areas
that are currently non-CBAs. Section
16008 of the Cures Act first mandates
that we take stakeholder input into
account in making fee schedule
adjustments based on information from
the DMEPOS CBP for items and services
furnished beginning in 2019. The
information we have collected includes
input from many stakeholders
indicating that the fully adjusted fee
schedule amounts are too low and that
this is having an adverse impact on
beneficiary access to items and services
furnished in rural and remote areas.
Industry stakeholders have stated that
the fully adjusted fee schedule amounts
are not sufficient to cover the supplier’s
costs, particularly for delivering items
in rural, remote areas. We are
monitoring outcomes, assignment rates,
and other issues related to access of
items and services such as changes in
allowed services and number of
suppliers. We believe it is important to
continue monitoring these things before
proposing a more long term fee schedule
adjustment methodology using
information from the CBP. If fee
schedule amounts are too low, they
could impact access and potentially
damage the businesses that furnish
DMEPOS items and services. If fee
schedule amounts are too high, this
increases Medicare program and
beneficiary costs unnecessarily. For
these reasons, we believe that we should
proceed cautiously in developing fee
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schedule adjustment methodologies for
the short term that can protect access to
items, while we continue to monitor
and gather data and information. We
plan to address fee schedule
adjustments for items furnished on or
after January 1, 2021 in future
rulemaking after we have continued to
monitor health outcomes, assignment
rates, and other information.
Section 16008 of the Cures Act
mandates that we take into the account
the highest amount bid by a winning
supplier in a CBA. However, as
previously discussed in section VI.A.2
of this proposed rule, the highest
winning bids from Round 2 Recompete
varied widely across the CBAs and the
variance does not appear to be based on
any geographic factor (that is, there is no
pattern of maximum bid amounts for
items being higher in certain CBAs or
regions of the country versus others).
Thus, we did not find any supporting
evidence for the development of a
payment methodology for the non-CBAs
based on the highest winning bids in a
CBA.
Section 16008 of the Cures Act
mandates that we take into account a
comparison of the average travel
distance and cost associated with
furnishing items and services in the
area. We found that the average travel
distance and cost for suppliers in nonCBAs is generally lower than the
average travel distance and cost for
suppliers in CBAs. However, oftentimes
costs in the non-contiguous areas of the
U.S., particularly in Hawaii and Alaska,
were higher than costs in the contiguous
areas of the U.S., for most of the cost
data that we examined and presented in
this rule. As noted in section VI.A.1 of
this proposed rule, this was confirmed
by one commenter who stated that noncontiguous areas, such as Alaska and
Hawaii, face unique and greater costs
due to higher shipping costs, a smaller
amount of suppliers, and more logistical
challenges related to delivery.
Additionally, from our analysis
presented in this rule, the average
distance traveled in CBAs is generally
greater than in most non-CBAs.
However, when looking at certain nonCBA rural areas such as FAR, OCBSAs,
and super rural areas, suppliers, on
average, must travel farther distances to
beneficiaries located in these areas than
beneficiaries located in CBAs and other
non-CBAs. Thus, we believe this
supports a payment methodology that
factors in the increased costs in noncontiguous areas, and the increased
travel distance suppliers face in
reaching certain rural areas.
Section 16008 of the Cures Act
mandates that we take into account a
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comparison of the average volume of
items and services furnished by
suppliers in the area. We found that in
virtually all cases, the average volume of
items and services for suppliers when
furnishing those items is higher in CBAs
than non-CBAs. We believe this finding
supports a payment methodology that
factors in and ensures beneficiary access
to items and services in non-CBAs with
relatively low volume.
Finally, section 16008 of the Cures
Act mandates that we take into account
a comparison of the number of suppliers
in the area. According to Medicare
claims data, the number of supplier
locations furnishing DME items and
services subject to the fee schedule
adjustments decreased by 22 percent
from 2013 to 2016. In 2016 alone there
was a little over 6 percent decline from
the previous year in the number of DME
supplier locations furnishing items and
services subject to the fee schedule
adjustments. The magnitude of this
decline in DME supplier locations, from
13,535 (2015) to 12,617 (2016), indicates
that the number of DME supplier
locations serving these areas continues
to decline. There has been a further
reduction in supplier locations of 9
percent in 2017. We can attribute a
certain percentage of this decline in the
number of suppliers to audit,
investigation, and evaluations by CMS
and its contractors to enhance fraud and
abuse controls to monitor suppliers.
Furthermore, we have noted in section
VI.A.6 of this proposed rule that
instances of beneficiaries located in
areas being served by one supplier were
extremely rare, when looking at users of
oxygen and oxygen equipment, and
were mostly in non-contiguous areas of
the country. The suppliers for these
non-contiguous areas were all accepting
the fully adjusted fee schedule amounts
as payment in full 100 percent of the
time in 2016 and 2017. Additionally,
while the number of suppliers in the
non-CBAs decreased by a little over 6
percent in 2016 overall, volume per
supplier increased, suggesting a
consolidation in the number of locations
serving the non-CBAs. However, we are
still concerned about the potential
beneficiary access issues that might
occur in more rural and remote areas
based on this consistent decline in
number of suppliers. As such, out of an
abundance of caution, we believe that
the consistent decline in number of
suppliers supports adjusting the fee
schedule amounts in a way that seeks to
abate this declining trend and ensure
access to items and services for
beneficiaries living in rural areas and
other remote areas such as Alaska,
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Hawaii, Puerto Rico and other U.S.
territories.
Based on the stakeholder comments,
the higher costs for non-contiguous
areas, the increased average travel
distance in certain rural areas, the
significantly lower average volume per
supplier in non-CBAs, especially in
rural and non-contiguous areas, and the
decrease in the number of non-CBA
supplier locations, we believe the fee
schedule amounts for items and services
furnished from January 1, 2019 through
December 31, 2020, in all areas that are
currently rural or non-contiguous nonCBAs, should be based on a blend of 50
percent of the adjusted fee schedule
amounts and 50 percent of the
unadjusted fee schedule amounts in
accordance with the current
methodologies under paragraphs (1)
through (8) of § 414.210(g). We believe
that since the information from the CBP
comes from bidding in non-rural areas
only and in all but one case in areas
located in the contiguous U.S., that full
adjustments based on this information
should not be applied to fee schedule
amounts for items and services
furnished in rural and non-contiguous
areas on or after January 1, 2019. We
believe that blended rates can help
ensure beneficiary access to needed
DME items and services in rural, remote
and non-contiguous areas and better
account for the differences in costs for
these areas versus more densely
populated areas. We believe the fee
schedule amounts for items and services
furnished from January 1, 2019 through
December 31, 2020, in all areas that are
currently non-CBAs, but are not rural or
non-contiguous areas, should be based
on 100 percent of the adjusted fee
schedule amounts in accordance with
the current methodologies under
paragraphs (1) through (8) of
§ 414.210(g). Although the average
volume of items and services furnished
by suppliers in non-rural non-CBAs is
lower than the average volume of items
and services furnished by suppliers in
CBAs, the travel distances and costs for
these areas are lower than the travel
distances and costs for CBAs. Because
the travel distances and costs for these
areas are lower than the travel distances
and costs for CBAs, we believe the fully
adjusted fee schedule amounts are
sufficient. However, we request specific
comments on the issue of whether the
50/50 blended rates should apply to
these areas as well.
In the event that the proposal outlined
in section V ‘‘Changes to the Durable
Medical Equipment, Prosthetics,
Orthotics, and Supplies (DMEPOS)
Competitive Bidding Program (CBP)’’, to
change the method for calculating SPAs
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under the CBP is finalized and SPAs
under future competitions are
calculated based on maximum winning
bids rather than the median of winning
bids, this change in payments under the
CBP may warrant further changes to the
fee schedule adjustment methodologies
under § 414.210(g)(1) through (8). We
would address further changes to the fee
schedule adjustment methodologies in
future rulemaking.
In summary, based on stakeholder
input, the higher costs for suppliers in
non-contiguous areas, the longer average
travel distance for suppliers furnishing
items in certain rural areas, the
significantly lower average volume that
most non-CBA suppliers furnish, and
the decrease in the number of non-CBA
supplier locations, we are proposing to
revise § 414.210(g)(9) and to adjust the
fee schedule amounts for items and
services furnished in rural and noncontiguous non-CBAs by extending
through December 31, 2020, the current
methodology which bases the fee
schedule amounts on a blend of 50
percent of the adjusted fee schedule
amounts and 50 percent of the
unadjusted fee schedule amount in
accordance with the current
methodologies under paragraphs (1)
through (8) of § 414.210(g). We are
proposing to adjust the fee schedule
amounts for items and services
furnished in non-rural and contiguous
non-CBAs from January 1, 2019 through
December 31, 2020, using the current
methodologies under paragraphs (1)
through (8) of § 414.210(g). We plan to
continue monitoring health outcomes,
assignment rates, and other information
and would address fee schedule
adjustments for all non-CBAs for items
furnished on or after January 1, 2021, in
future rulemaking.
2. Proposed Fee Schedule Adjustments
for Items and Services Furnished in
Former Competitive Bidding Areas
During a Gap in the DMEPOS CBP
In the event of a future gap in the CBP
due to CMS being unable to timely
recompete contracts under the program
before the DMEPOS competitive bidding
contract periods of performance end, we
are proposing a fee schedule adjustment
methodology that would be used to
adjust the fee schedules for items and
services that are currently subject to and
included in competitive bidding
programs. We believe that a fee
schedule adjustment methodology for
items and services furnished during a
gap in the CBP in areas that were
included in the CBP should result in
rates comparable to the rates that would
otherwise be established under the CBP
in order to maintain the level of savings
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that would otherwise be achieved if the
CBP was in effect. We are proposing a
specific fee schedule adjustment
methodology for items and services
furnished within former CBAs in
accordance with sections 1834(a)(1)(F)
and 1834(a)(1)(G) of the Act.
Specifically, we propose to add a new
paragraph (10) under § 414.210(g) that
would establish a methodology for
adjusting fee schedule amounts paid in
areas that were formerly CBAs during
periods when there is a temporary lapse
in the CBP. We propose to adjust the fee
schedule amounts for items and services
furnished in former CBAs based on the
SPAs in effect in the CBA on the last
day before the CBP contract periods of
performance ended, increased by the
projected percentage change in the CPI
for all Urban Consumers (CPI–U) for the
12-month period on the date after the
contract periods ended (for example,
January 1, 2019). If the gap in the CBP
lasts for more than 12 months, the fee
schedule amounts are increased once
every 12 months on the anniversary date
of the first day after the contract period
ended based on the projected percentage
change in the CPI–U for the 12-month
period ending on the anniversary date.
We also propose to revise paragraph
(4) under § 414.210(g), so that it does
not conflict with the proposed new
paragraph (10), by revising the first
sentence in paragraph (4) to read: ‘‘In
the case where adjustments to fee
schedule amounts are made using any of
the methodologies described, other than
paragraph (g)(10) of this section, if the
adjustments are based solely on single
payment amounts from competitive
bidding programs that are no longer in
effect, the single payment amounts are
updated before being used to adjust the
fee schedule amounts.’’
With regard to payment for non-mail
order diabetic testing supplies, section
1834(a)(1)(H) of the Act mandates that
payment for non-mail order diabetic
testing supplies be equal to the SPAs
established under the national mail
order competition for diabetic testing
supplies. We believe that as of January
1, 2019, we must continue payment for
non-mail order diabetic supplies at the
current SPA rates. These SPA rates
would not be updated by inflation
adjustment factors and would remain in
effect until new SPA rates are
established under the national mail
order program. We do not believe that
this statutory provision would cease to
apply in situations where there is a gap
in the national mail order competitions
for diabetic testing supplies; and
therefore, we will continue to use the
SPAs for mail order diabetic testing
supplies as the payment amounts for
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non-mail order diabetic testing supplies
in the event that there is a gap in the
CBP.
We seek comments on these
proposals.
C. Provisions of the Proposed Rule
We are proposing to revise the fee
schedule adjustment methodology at
§ 414.210(g)(9) so that for items and
services furnished in non-CBAs that are
rural or non-contiguous areas with dates
of service from January 1, 2019, through
December 31, 2020, the fee schedule
amount for the area is equal to 50
percent of the adjusted payment amount
established under this section and 50
percent of the unadjusted fee schedule
amount. We are proposing to revise the
fee schedule adjustment methodology at
§ 414.210(g)(9) so that for items and
services furnished in non-CBAs that are
not rural or non-contiguous areas with
dates of service from January 1, 2019,
through December 31, 2020, the fee
schedule amount for the area is equal to
100 percent of the adjusted payment
amount established under this section.
We also propose a methodology for
adjusting the fee schedule amounts for
items and services that are currently
subject to competitive bidding furnished
in former CBAs in the event of a lapse
in the DMEPOS CBP. We propose to
create a new paragraph (10) under
§ 414.210(g) titled ‘‘Payment
Adjustments for Items and Services
Furnished in Former Competitive
Bidding Areas During Temporary Gaps
in the DMEPOS CBP’’ that has the
following text underneath: ‘‘During a
temporary gap in the entire DMEPOS
CBP and/or National Mail Order CBP,
the fee schedule amounts for items and
services that were competitively bid and
furnished in areas that were competitive
bidding areas at the time the program(s)
was in effect are adjusted based on the
SPAs in effect in the competitive
bidding areas on the last day before the
CBP contract period of performance
ended, increased by the projected
percentage change in the Consumer
Price Index for all Urban Consumers
(CPI–U) for the 12-month period ending
on the date after the contract periods
ended. If the gap in the CBP lasts for
more than 12 months, the fee schedule
amounts are increased once every 12
months on the anniversary date of the
first day of the gap period based on the
projected percentage change in the CPI–
U for the 12-month period ending on the
anniversary date.’’
Finally, with regard to payment for
non-mail order diabetic testing supplies
in the event of a gap in the CBP,
payment would continue at the SPA
rates for mail order diabetic testing
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supplies as mandated by section
1834(a)(1)(H) of the Act. We would pay
for non-mail order diabetic supplies at
the current SPA rates until new rates are
established under the national mail
order program.
VII. New Payment Classes for Oxygen
and Oxygen Equipment and
Methodology for Ensuring Annual
Budget Neutrality of the New Classes
A. Background
The Medicare payment rules for
durable medical equipment are set forth
in section 1834(a) of the Act and 42 CFR
part 414, subpart D of our regulations.
In general, Medicare payment for DME
items and services paid on a fee
schedule basis is equal to 80 percent of
the lower of either the actual charge or
the fee schedule amount for the item.
The beneficiary coinsurance is equal to
20 percent of the lower of either the
actual charge or the fee schedule
amount for the item. General payment
rules for DME are set forth in section
1834(a)(1) of the Act and § 414.210 of
our regulations, and § 414.210 also
contains paragraphs relating to
maintenance and servicing of items and
replacement of items. Specific payment
rules for oxygen and oxygen equipment
are set forth in section 1834(a)(5) of the
Act and § 414.226 of our regulations.
The average monthly payment to
suppliers serving beneficiaries with a
prescribed flow rate of greater than 4
liters per minute in 2006 was
approximately $299.76. Before the
enactment of the Deficit Reduction Act
of 2005 (DRA), these monthly payments
continued for the duration of use of the
equipment, provided that Medicare Part
B coverage and eligibility criteria were
met. Medicare covers three types of
oxygen delivery systems: (1) Stationary
or portable oxygen concentrators, which
concentrate oxygen in room air; (2)
stationary or portable liquid oxygen
systems, which use oxygen stored as a
very cold liquid in cylinders and tanks;
and (3) stationary or portable gaseous
oxygen systems, which administer
compressed oxygen directly from
cylinders. There is also transfilling
equipment that takes oxygen from
concentrators and fills up small portable
gaseous tanks. Both liquid and gaseous
oxygen systems require delivery of
oxygen contents. Concentrators and
transfilling systems do not require
delivery of oxygen contents. Medicare
payment for furnishing oxygen and
oxygen equipment is made on a
monthly basis and the fee schedule
amounts vary by State.
Effective January 1, 2006, section
5101(b) of the DRA amended section
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1834(a)(5) of the Act, limiting the
monthly payments for oxygen
equipment to 36 months of continuous
use. The limit of 36 months of payment
also applies to cases where there is an
oxygen flow rate of greater than 4 liters
per minute. The DRA mandated that
payment for the delivery of oxygen
contents continue after the 36-month
cap on payments for oxygen equipment.
At this time, Medicare already had an
established fee schedule amount or
payment class for oxygen contents only
for beneficiaries who owned the
stationary and/or portable oxygen
equipment. The monthly payment for
oxygen contents for beneficiaries who
purchased oxygen equipment prior to
1989 included payment for delivery of
both stationary and portable contents
and was approximately $156 on average
in 2006. CMS implemented section
1834(a)(5) of the Act, as amended by
section 5101 of the DRA, in the final
rule published on November 9, 2006 in
the Federal Register, titled ‘‘Home
Health Prospective Payment System
Rule Update for Calendar Year 207 and
Deficit Reduction Act of 2005 Changes
to Medicare Payment for Oxygen
Equipment and Capped Rental Durable
Medical Equipment’’, (71 FR 65884). As
part of this rule, we amended § 414.226
by adding a new paragraph (c) and
separate payment classes for: Oxygen
generating portable equipment (OGPE)
consisting of portable oxygen
concentrators and transfilling
equipment that met the patient’s
portable oxygen needs without relying
on the delivery of oxygen contents;
stationary oxygen contents after the 36month rental period; and portable
oxygen contents after the 36-month
rental period. With the addition of the
new class for OGPE, rather than
receiving the standard monthly add-on
payment of $31.79 for portable oxygen
equipment, we established a higher
amount of $51.63 per month for this
new technology as opposed to
furnishing portable gaseous or liquid
oxygen equipment, which continued to
be paid at the lower add-on payment
rate of $31.79 per month.
Section 1834(a)(9)(D) of the Act
provides the authority to create separate
classes of oxygen and oxygen
equipment. Section 1834(a)(9)(D)(ii) of
the Act mandates that new, separate
classes of oxygen and oxygen equipment
be budget neutral; the Secretary may
establish new classes for oxygen and
oxygen equipment only if the
establishment of such classes does not
result in expenditures for any year that
are less or more than the expenditures
which would have been made had the
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classes not been established. It is
important to stress that the budget
neutrality requirement in section
1834(a)(9)(D)(ii) of the Act applies
regardless of whether fee schedule
amounts are adjusted based on
information from the DMEPOS CBP. As
long as suppliers continue to get paid
more for OGPE than they would
otherwise be paid had the OGPE class
not been established, a methodology
must be employed to ensure that
payments or expenditures overall are
budget neutral. Since 2008, in
accordance with our regulations at
§ 414.226(c), CMS has ensured budget
neutrality each year by determining how
much expenditures increased as a result
of the higher paying OGPE class and
reducing the monthly payment amount
for stationary oxygen equipment and
oxygen contents by a certain percentage
to offset the increase in payments
attributed to the higher amount paid for
OGPE. Stakeholders have argued that
the budget neutrality requirement
should no longer apply in situations
where the fee schedule amounts for
oxygen and oxygen equipment,
including the fee schedule amounts for
OGPE, are adjusted based on
information from the DMEPOS CBP.
However, as long as the add-on payment
amounts for OGPE are higher than the
add-on payment amounts that would
otherwise have been made for portable
oxygen equipment in general, a budget
neutrality offset is needed to ensure the
OGPE class does not result in total
expenditures for any year which are
more or less than the expenditures
which would have been made if the
payment class had not been established.
As of January 1, 2018, the average
adjusted fee schedule monthly add-on
amount for OGPE was $40.08 and for
portable gaseous and liquid oxygen
equipment was $18.20. Either of these
monthly add-on amounts is added to the
average adjusted fee schedule monthly
payment for stationary oxygen
equipment and oxygen contents which
was $72.95. We note that if the fee
schedule amounts for oxygen and
oxygen equipment are adjusted based on
information from the DMEPOS CBP, and
these adjustments result in the fees for
OGPE being lower than the add-on
payment amounts that would otherwise
have been made for portable oxygen
equipment in general, a positive rather
than a negative budget neutrality offset
would be needed to ensure that total
expenditures for any year are not more
or less than the expenditures which
would have been made if the payment
class had not been established.
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B. Provisions of the Proposed Rule
1. Adding a Portable Liquid Oxygen
Equipment Class
The current payment classes for
oxygen and oxygen equipment are
included in § 414.226(c), and include:
(i) Stationary oxygen equipment
(including stationary concentrators) and
oxygen contents (stationary and
portable); (ii) Portable equipment only
(gaseous or liquid tanks); (iii) OGPE
only; (iv) Stationary oxygen contents
only; and (v) Portable oxygen contents
only.
As explained earlier in the preamble,
the add-on payment for OGPE is higher
than the add-on payment for portable
gaseous and liquid equipment. OGPE
provides advantages for beneficiaries in
that they do not need to rely on the
delivery of oxygen contents, in contrast
to beneficiaries using portable gaseous
or liquid equipment. The OGPE systems
are also more lightweight and therefore
allow for greater ambulation for
beneficiaries who cannot carry or push
heavier equipment. Since adding the
higher paying OGPE class, utilization of
this equipment has doubled, use of
portable gaseous equipment declined
slightly, while use of portable liquid
equipment dropped significantly and
now accounts for only 2 percent of
utilization of portable oxygen
equipment. Although portable liquid
oxygen equipment does not eliminate
the need for delivery of oxygen
contents, it is a more lightweight system
like OGPE and promotes ambulation in
beneficiaries. It is also more expensive
than portable gaseous equipment to
suppliers, beneficiaries, and the
Medicare program. The higher payments
and incentives for furnishing OGPE
have in essence created a disincentive to
furnish portable liquid equipment.
This proposed rule would amend our
regulations at § 414.226 by using the
authority at section 1834(a)(9)(D) to add
separate payment classes for portable
gaseous oxygen equipment only and
portable liquid oxygen equipment only.
Instead of having one class for portable
oxygen equipment only (gaseous and
liquid tanks), we propose splitting this
class into two classes and increasing the
add-on amount for portable liquid
oxygen equipment. We propose
establishing the initial add-on amounts
for portable liquid oxygen equipment so
that they are equal to the add-on
amounts for OGPE, thus reducing the
incentive to furnish OGPE over portable
liquid oxygen equipment. The add-on
payment amounts would be adjusted in
the future based on pricing information
from the DMEPOS CBP. As explained
above, section 1834(a)(9)(D)(ii) of the
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Act mandates that these new classes be
annually budget neutral; however, we
do not expect this change to result in a
dramatic increase in the use of portable
liquid oxygen equipment, and so we do
not believe the budget neutrality offset
would be significant.
Suppliers furnishing oxygen and
oxygen equipment in a CBA under the
DMEPOS CBP must furnish portable
liquid oxygen equipment in any case
where a beneficiary starting a new 36month period of continuous use for
oxygen and oxygen equipment requests
portable liquid oxygen equipment. This
is because all of the HCPCS codes
describing the different types of oxygen
and oxygen equipment are items
included in the respiratory equipment
product category under the DMEPOS
CBP and § 414.422(e)(1) requires that
that a contract supplier agree to furnish
items under its contract to any
beneficiary who maintains a permanent
residence in, or who visits, the CBA and
who requests those items from that
contract supplier. However, suppliers in
non-CBAs are not required to furnish
portable liquid oxygen equipment even
if a beneficiary requests such equipment
from a supplier, which is why we
believe it is important to eliminate any
disincentives for furnishing this
modality that may result because of
higher payments for OGPE. Thus, we
believe that adding the portable liquid
oxygen equipment class and adding a
provision to the regulations that would
ensure that the payment amount for
portable liquid oxygen equipment is the
same as OGPE would encourage
suppliers to furnish this modality when
it is requested by beneficiaries.
2. Adding a Liquid High-Flow Oxygen
Contents Class
As explained above, the statute allows
a 50 percent volume adjustment add-on
payment to suppliers for furnishing
oxygen and oxygen equipment to
beneficiaries with a prescribed oxygen
flow rate of more than 4 liters per
minute. This provides additional
payment for equipment and/or delivery
of additional contents necessary to meet
the needs of beneficiaries who are
prescribed a large quantity of oxygen.
However, this add-on payment is tied to
the payment for stationary equipment,
which is capped after 36 months of
continuous use. Certain oxygen
concentrators are capable of meeting the
high flow needs of some beneficiaries
and continue to be available after the
36-month cap on payments for oxygen
equipment. In addition, transfilling
machines can be used to fill multiple
lightweight portable canisters and
continue to be available after the 36-
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month cap on payments for oxygen
equipment.
Section 1834(a)(5)(F)(ii)(II) of the Act
requires that Medicare continue to make
monthly payments for the delivery and
refilling of oxygen contents for the
period of medical need after 36 months
of continuous use. Currently, there are
two classes for oxygen contents (gaseous
and liquid), one for stationary oxygen
contents and the other for portable
oxygen contents—see § 414.226(iv) and
(v). In a limited number of cases where
a patient is ambulatory and is
prescribed a very high flow rate of
oxygen (generally greater than 6 liters
per minute), a portable liquid oxygen
system is the only modality that would
meet their high flow, portable oxygen
needs. In order to better ensure that
these beneficiaries have access to the
portable liquid oxygen contents
necessary to meet their high flow needs,
we propose to add a new separate class
for ‘‘portable liquid oxygen contents
only for prescribed flow rates of more
than 4 liters per minute.’’
We propose to establish the initial fee
schedule amounts for portable liquid
oxygen contents for prescribed flow
rates of more than 4 liters per minute by
multiplying the fee schedule amounts
for portable oxygen contents by 1.5 to
increase the payment amount by 50
percent above the payment amount for
portable oxygen contents. Like the other
classes of oxygen and oxygen
equipment, the fee schedule amounts
34385
for this class would be adjusted in the
future based on pricing information
from the DMEPOS CBP. As explained
above, section 1834(a)(9)(D)(ii) of the
Act mandates that this new class be
annually budget neutral; however, we
expect that this change will have a very
minimal impact on expenditures due to
the limited number of beneficiaries who
require a high flow rate for oxygen and
can still ambulate. Therefore, we do not
believe the budget neutrality offset
needed would be significant.
Table 53 compares the current classes
of oxygen and oxygen equipment and
the proposed classes of oxygen and
oxygen equipment.
TABLE 53—CURRENT AND PROPOSED OXYGEN AND OXYGEN EQUIPMENT CLASSES
Current oxygen and oxygen equipment:
5 classes described in 414.226
Proposed oxygen and oxygen equipment:
7 classes
Stationary oxygen equipment (including stationary concentrators) and
oxygen contents (stationary and portable).
Portable equipment only (gaseous or liquid tanks) ..................................
Stationary oxygen equipment (including stationary concentrators) and
oxygen contents (stationary and portable).
Portable gaseous equipment only.
Portable liquid equipment only.
Oxygen generating portable equipment only.
Stationary oxygen contents only.
Portable gaseous and liquid oxygen contents only except for portable
liquid oxygen contents for prescribed flow rates greater than four liters per minute.
Portable liquid oxygen contents only for prescribed flow rates greater
than four liters per minute.
Oxygen generating portable equipment only. ..........................................
Stationary oxygen contents only ..............................................................
Portable oxygen contents only .................................................................
3. Applying Budget Neutrality Offset to
All Oxygen and Oxygen Equipment
Classes
In accordance with section
1834(a)(9)(D)(ii) of the Act, the fee
schedule amounts for the oxygen and
oxygen equipment classes are set in a
budget neutral manner for each oxygen
and oxygen equipment HCPCS code.
The budget neutrality offset necessary to
maintain the separate class for OGPE
has been exclusively applied to the
stationary oxygen equipment fee
schedule amount as indicated in
§ 414.226(c)(6). We propose to change
§ 414.226(c)(6) and the methodology for
applying the budget neutrality offset, in
addition to adding the two new oxygen
and oxygen equipment classes proposed
above. Rather than applying the budget
neutrality offset to the payment for
stationary equipment and oxygen
contents only, we propose to apply the
budget neutrality offset to all oxygen
and oxygen equipment classes and
HCPCS codes beginning January 1,
2019. To implement our proposal, a
budget neutrality offset shall be applied
to all HCPCS codes for oxygen
equipment and oxygen contents, thereby
lowering the amount of the offset
applied specifically to payments for
stationary oxygen. We consider
applying the budget neutrality offset to
all oxygen classes instead of just the
stationary oxygen equipment class to be
more equitable in that it would not just
lower payments for suppliers of
stationary oxygen equipment (some of
which may never furnish OGPE), but
would spread the budget neutrality
offset more equitably across all classes
and codes for oxygen and oxygen
equipment. Table 54 is an example of
the fee schedule amounts when the
budget neutrality offset is applied only
to the stationary oxygen equipment rate
versus applying the budget neutrality
offset to all oxygen classes. This
particular example depicts fully
adjusted fee schedule amounts,
including budget neutrality
adjustments, for oxygen and oxygen
equipment furnished in non-rural areas
in the Southeast U.S.
TABLE 54—JANUARY 1, 2018 FEES FOR CURRENT AND PROPOSED BUDGET NEUTRALITY METHODS
sradovich on DSK3GMQ082PROD with PROPOSALS2
Current method
2018 rate
Stationary oxygen equipment (including stationary
concentrators) and oxygen contents (stationary and
portable).
Portable equipment only (gaseous or liquid tanks) .....
$70.23
Oxygen generating portable equipment only ...............
Stationary oxygen contents only ..................................
37.44
53.32
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Proposed method
Stationary oxygen equipment (including stationary
concentrators) and oxygen contents (stationary and
portable).
Portable gaseous equipment only ...............................
Portable liquid equipment only .....................................
Oxygen generating portable equipment only ...............
Stationary oxygen contents only ..................................
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2018 rate
$72.59
16.04
34.73
34.73
49.46
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TABLE 54—JANUARY 1, 2018 FEES FOR CURRENT AND PROPOSED BUDGET NEUTRALITY METHODS—Continued
Current method
2018 rate
Portable oxygen contents only .....................................
We solicit comments on these
provisions.
VIII. Payment for Multi-Function
Ventilators
A. Background
Section 1834(a) of the Act governs
payment for DME covered under Part B
and under Part A for a home health
agency and provides for the
implementation of a fee schedule
payment methodology for DME
furnished on or after January 1, 1989.
Sections 1834(a)(2) through (a)(7) of the
Act set forth separate payment
categories of DME and describe how the
fee schedule amounts for items under
each of the categories are established.
More importantly, the payment rules for
these categories are different and in
some cases mutually exclusive. Table 55
53.32
Proposed method
Portable gaseous and liquid oxygen contents only
with the exception of portable liquid contents greater than four liters per minute.
Portable liquid contents only greater than four liters
per minute.
provides a summary of the payment
categories, corresponding payment
methodology, and statutory and
regulatory sections. The main payment
categories are: Inexpensive or other
routinely purchased items, items
requiring frequent and substantial
servicing, customized items, oxygen and
oxygen equipment, and other items of
DME (capped rental). Some differences
in the payment rules for the payment
categories arise, for example, where
sections 1834(a)(2), (4), (6), and (7) of
the Act allow for the lump sum
purchase of certain items paid under
these categories, while sections
1834(a)(3) and (5) of the Act do not
allow for lump sum purchase of items
in those categories. Also, sections
1834(a)(2), (5), and (7) of the Act cap or
limit total rental payments for items
paid under these categories, whereas
2018 rate
49.46
74.19
section 1834(a)(3) does not. With regard
to rented items, section 1834(a)(7) of the
Act mandates beneficiary ownership of
the item after 13 months of continuous
rental, whereas sections 1834(a)(2), (3),
and (5) do not require transfer of
ownership to the beneficiary. Finally,
section 1834(a)(3) of the Act mandates
that payment for covered items such as
ventilators and intermittent positive
pressure breathing machines be made
on a monthly basis for the rental of the
item, whereas ventilators that are either
continuous positive airway pressure
devices or intermittent assist devices
with continuous positive airway
pressure devices are excluded from
section 1834(a)(3) of the Act.
Respiratory assist devices, suction
pumps (aspirators), and nebulizers fall
under section 1834(a)(7) of the Act.
TABLE 55—SUMMARY OF DME EQUIPMENT PAYMENT CATEGORIES AND RULES
Payment category
Payment rules
Inexpensive or other routinely purchased items—section 1834(a)(2)
of the Act
Purchase price of $150 or less, OR were routinely purchased (75 percent of the time or more) under the
rent/purchase program prior to 1989, OR are speech generating devices, OR are accessories used in
conjunction with nebulizers, aspirators, continuous positive airway pressure devices, respiratory assist
devices, or speech generating devices. If covered, these items can be purchased new or used and can
be rented; however, total payments cannot exceed the purchase new fee for the item. See 42 CFR
414.220.
Items, such as ventilators, requiring frequent and substantial servicing, in order to avoid risk to the patient’s health. If covered, these items can be rented as long as they are medically necessary with the
supplier retaining ownership of the equipment. Payment is generally made on a monthly rental basis with
no cap on the number of rental payments made as long as medically necessary. Excludes CPAP devices, respiratory assist devices, suction pumps/aspirators, and nebulizers. See 42 CFR 414.222.
Payment amounts are not calculated for a customized DME item. Customized DME is defined at 42 CFR
414.224, including customized wheelchairs. If covered, payment is made in a lump-sum amount for the
purchase of the item based on the DME Medicare Administrative Contractor (MAC), Part A MAC, or Part
B MAC’s individual determination. See 42 CFR 414.224.
One bundled monthly rental payment amount is made, not to exceed a 36 month cap, for all covered stationary equipment, stationary and portable contents, and all accessories used in conjunction with the oxygen equipment. An add-on payment may also be made for portable oxygen. After 36 months, payment
can continue to be made on a monthly basis for oxygen contents for liquid or gaseous oxygen equipment. Payment for in-home maintenance and servicing of supplier-owned oxygen concentrators and
transfilling equipment may be made every 6 months, beginning 6 months after the 36 month rental cap,
for any period of medical need for the remainder of the reasonable useful lifetime of the equipment (5
years). See 42 CFR 414.226.
Payment under a lump sum purchase.
Items requiring frequent and substantial
servicing—section
1834(a)(3) of the Act
Customized
items—section
1834(a)(4) of the Act
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Oxygen and oxygen equipment—
section 1834(a)(5) of the Act
Other Covered Items (Other than
DME)—section 1834(a)(6) of the
Act
Other items of DME (capped rental
items)—section 1834(a)(7) of the
Act
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18:26 Jul 18, 2018
Monthly rental payment amount is made not to exceed a 13 month cap at which point the beneficiary takes
over ownership of the equipment. Complex rehabilitative power wheelchairs can be purchased in the first
month of use. For capped rental items other than power wheelchairs, the payment amount is calculated
based on 10 percent of the base year purchase price for months 1 through 3. Beginning with the fourth
month, the payment amount is equal to 7.5 percent of the purchase price. For power wheelchairs, the
rental payment amount is calculated based on 15 percent of the base year purchase price for months 1
through 3. Beginning with the fourth month, the fee schedule amount is equal to 6 percent of the purchase price. See 42 CFR 414.229.
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The Medicare allowed amount for
DMEPOS items and services paid on a
fee schedule basis is equal to the lower
of the supplier’s actual charge or the fee
schedule amount. The Medicare
payment amount for a DME item is
generally equal to 80 percent of the
lesser of the actual charge or the fee
schedule amount for the item, less any
unmet Part B deductible. The
beneficiary coinsurance for such items
is generally equal to 20 percent of the
lesser of the actual charge or the fee
schedule amount for the item once the
deductible is met.
B. Current Issues
Concerns have been raised by the
manufacturer of a multi-function
ventilator about how the separate
payment categories set forth at sections
1834(a)(2) through (a)(7) of the Act
would apply to a new type of ventilator,
which consists of a ventilator base item
classified under section 1834(a)(3) of the
Act, but can also perform the function
of portable oxygen equipment classified
under the payment categories in
sections 1834(a)(5), and the functions of
a nebulizer, a suction pump, and a
cough stimulator classified under
paragraph (7) of section 1834(a) of the
Act. For example, a new product was
recently cleared by the Food and Drug
Administration (FDA) as a ventilator,
but can also function as a portable
oxygen concentrator, nebulizer, suction
pump (aspirator), and cough stimulator.
The multi-function ventilator assists
34387
with serving multiple, different medical
needs of beneficiaries with diagnoses
such as chronic lung disease, cystic
fibrosis, ALS, and muscular dystrophy.
As shown in Table 56, separate DME
items perform each of these functions,
and the DME items that perform these
functions have already been assigned
separate HCPCS codes and payment
amounts under the DMEPOS fee
schedule. Currently, HCPCS codes
E0465 and E0466 are denoted for a
home ventilator item, any type, used
with either an invasive interface (for
example, tracheostomy tube) or noninvasive interface (for example, mask,
chest shell). Portable oxygen
concentrators are identified using a
combination of codes E1390 plus E1392.
TABLE 56—FUNCTIONS, PAYMENT CATEGORY, AND HCPCS FOR FUNCTIONS OF A MULTI-FUNCTION VENTILATOR
HCPCS code
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E0465
E1390
E0570
E0600
E0482
or E0466 ...................
and E1392 ................
...................................
...................................
...................................
Function
Ventilator .........................................................................
Portable Oxygen Concentrator .......................................
Nebulizer .........................................................................
Suction Pump ..................................................................
Cough Stimulator ............................................................
We noted other concerns while
considering how to categorize and pay
for the multi-function ventilator. One
concern is that a patient may not need
all of the functions that the new multifunction ventilator performs, and there
are different Medicare medical necessity
coverage criteria for each of the five
different functions typically performed
by five different pieces of equipment. In
addition, another concern we have is
while section 1847(a)(2)(A) of the Act
mandates the implementation of
competitive bidding for covered items,
the only items that comprise the multifunction ventilator that have been
phased into the DMEPOS CBP at this
time are portable oxygen concentrators
and nebulizers. As a result, in CBAs,
only contract suppliers can furnish
portable oxygen concentrators or
nebulizers to beneficiaries in these
areas, whereas non-contract suppliers
can furnish ventilators, suction pumps,
and cough stimulators in these same
areas. The current competitive bid
product categories do not include a
single item, furnished by one supplier,
which performs the functions of five
separate items, as the multi-function
ventilator does. Upon determination
that the multi-function ventilator is a
covered item within the meaning of
section 1834(a)(13) of the Act and its
payment category, the multi-function
ventilator item can be eligible for
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Jkt 244001
Items requiring frequent and substantial servicing.
Oxygen and oxygen equipment.
Capped rental items.
Capped rental items.
Capped rental items.
inclusion in a CBP along with other
ventilator items.
To address these concerns, we
reviewed the payment rules for
ventilators. Section 1834(a)(1)(C) of the
Act indicates that subsection (a) of
section 1834 is the exclusive payment
rule for these items; however, this
subsection does not specifically set forth
a payment category for DME items that
are capable of performing the functions
of other items that can be classified
under the multiple, different payment
categories and accompanying rules
under sections 1834(a)(2) through (7) of
the Act. Similarly, the regulations at 42
CFR 414.220 through 42 CFR 414.229
and program instructions currently do
not address payment for the multifunction ventilator’s additional
functions. In addition, there is no
guidance or criteria regarding how to
determine which function of a new
multi-function item should determine
the payment category for the entire
multi-function item. Furthermore,
because the supplier is only furnishing
one item and the patient may not need
more than one of the functions/features
for the duration of time the item is used
by the patient, we do not believe
payment should be established by
summing the current separate payment
amounts for each function (ventilators,
oxygen concentrators, nebulizers,
suction pumps, and cough stimulators)
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to determine the fee schedule amount
for the integrated multi-function item.
We believe we should classify multifunction ventilators in the frequent and
substantial servicing payment category
under section 1834(a)(3) of the Act and
address payment for these ventilators
that can perform multiple functions.
The information we gathered during our
review supports our proposal to classify
these items under the frequent and
substantial servicing payment category
at section 1834(a)(3) of the Act. Multifunction ventilators are classified by the
FDA as ventilators, instead of oxygen
concentrators, nebulizers, suction
pumps, or cough stimulators. We
believe that section 1834(a)(1)(C) of the
Act requires that DME be classified into
one of the payment categories in section
1834(a)(2) through (7) of the Act. We
believe that by classifying these items
under section 1834(a)(3) of the Act and
not under sections 1834(a)(2), (4), (5),
(6), or (7) of the Act, that only the rules
under section 1834(a)(3) would apply to
these items. We believe this is
appropriate and propose to establish fee
schedule amounts for multi-function
ventilators based on the current
Medicare fee schedule amounts for
ventilators plus an additional amount
for the average cost of the various
additional functions or features the
equipment offers (oxygen concentration,
drug nebulization, respiratory airway
suction, and cough stimulation). This is
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similar to how fee schedule amounts
have been established for other DME
items in the past, such as using the
average of allowed charges for underarm
crutches with shock absorbers and
allowed charges for underarm crutches
without shock absorbers to establish the
fee schedule amounts for underarm
crutches with or without shock
absorbers (HCPCS code E0116), or using
the average of allowed charges for
walkers with a fixed height and allowed
charges for walkers with an adjustable
height to establish the fee schedule
amounts for walkers with or without
adjustable heights (HCPCS codes E0130
through E0143).
C. Provisions of the Proposed Rule
Based on our review, we are
proposing to add a provision to the
regulation at § 414.222(f) to establish a
payment methodology for multifunction ventilators effective for dates of
service on or after January 1, 2019. We
believe that our proposal complies with
the Medicare payment rules for DME in
section 1834(a) of the Act, while
recognizing and encouraging
innovations in technology such as
multi-function ventilators. These
devices can enhance patient care and
promote ambulation by eliminating the
need for the patient to be tethered to
several pieces of equipment. We
propose that multi-function ventilators
be classified under section 1834(a)(3) of
the Act. Items classified under section
1834(a)(3) of the Act are paid on a
continuous monthly rental basis. We are
interested in receiving comments on
alternatives to the approach we are
taking regarding the proposed
classification and payment of multifunction ventilators.
We propose to establish the monthly
rental fee schedule amounts for a multifunction ventilator based on the existing
monthly rental fee schedule amounts for
ventilators plus payment for the average
cost of the additional functions. Under
this proposal, a single monthly rental
fee schedule amount shall be paid to
encompass the base ventilator item and
its additional functional components as
follows.
• The monthly rental fee schedule
amount for a multi-function ventilator is
equal to the monthly rental fee schedule
amount for a ventilator established in
§ 414.222(c) and (d) plus the average of
the lowest monthly cost for one
additional function and the monthly
cost of all additional functions,
increased by the annual coverage item
updates of section 1834(a)(14) of the
Act.
• The monthly cost for additional
functions shall be determined as
follows:
Æ For functions performed by items
classified under § 414.222 prior to 1994
the monthly cost is equal to the monthly
rental fee schedule amount established
in paragraphs (c) and (d) of this section
increased by the covered item update of
section 1834(a)(14) of the Act.
Æ For functions performed by items
classified under § 414.220, the monthly
cost is equal to the fee schedule amount
for purchased equipment established in
§ 414.220(c), (d), (e), and (f), adjusted in
accordance with § 414.210(g), divided
by 60 months or total number of months
of the reasonable useful lifetime of the
equipment. There are currently no
multi-function ventilators on the market
that perform the function for items
classified under § 414.220.
Æ For functions performed by items
classified under § 414.226 for oxygen
equipment, the monthly cost is equal to
the monthly payment amount
established in § 414.226(e), (f), and (g),
adjusted in accordance with
§ 414.210(g), multiplied by 36 and
divided by 60 months or total number
of months of the reasonable useful
lifetime of the oxygen equipment.
Æ For functions performed by items
classified under § 414.229 for cough
stimulator, the monthly cost is equal to
the purchase price established in
§ 414.229(c), adjusted in accordance
with § 414.210(g), divided by 60 months
or total number of months of the
reasonable useful lifetime of the
equipment.
TABLE 57—PROPOSED PAYMENT METHOD FOR MULTI-FUNCTION VENTILATORS
[Example]
Step
Method
(1) ......................
(2) ......................
(a) ...............
(b) ...............
Base amount = ventilator monthly rental fee schedule amount ...................................................................
Determine monthly rental fee schedule amount for each additional function:
(Portable Oxygen Concentrator monthly fee schedule amount × 36 months)/60 months * .........................
CY 1993 Nebulizer monthly rental fee schedule amount × covered item update factor for DME to CY
2019 **.
CY 1993 Suction Pump monthly rental fee schedule amount × covered item update factor for DME to
CY 2019 **.
(Cough Stimulator newly purchased fee schedule amount)/60 months * .....................................................
Base amount from Step 1 + lowest cost function amount from Step 2.
Base amount from Step 1 + all function amounts from Step 2.
Determine Payment for Multi-function ventilator (average of step 3 and 4).
(c) ...............
(d) ...............
(3) ......................
(4) ......................
(5) ......................
HCPCS codes
E0465 or E0466
E1392 + E1390
E0570
E0600
E0482
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* 5 year (60 months) reasonable useful lifetime of the equipment.
** The monthly rental amounts paid prior to 1994 included payment for the equipment and all related accessories.
Medicare coverage and payment can
be available for multi-function
ventilators furnished to beneficiaries
who are prescribed a multi-function
ventilator and meet the Medicare
medical necessity coverage criteria for a
ventilator and at least one of the four
additional functions of the device. The
fee schedule amount for the multifunction ventilator would be
determined in advance for each
calendar year and would not vary
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regardless of how many additional
functions the beneficiary needs in
addition to the ventilator function. We
are proposing that the payment amount
would be established for CY 2019 and
then updated each year after 2019 using
the covered item update factors
mandated by section 1834(a)(14) of the
Act. In the event that a patient is
furnished a multi-function ventilator
and only meets the Medicare medical
necessity coverage criteria for a
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ventilator, Medicare coverage and
monthly rental payments would be for
the ventilator only, and payment could
not be made for the other functions of
the device.
We are proposing a payment method
that we believe ensures an integration of
the functions of the multi-function
ventilator with a bundled corresponding
payment amount that addresses
additional functions of the items that
are necessary for patient care. If a
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beneficiary is furnished a multi-function
ventilator, payment would be denied for
any separate claims for oxygen and
oxygen equipment, nebulizers and
related accessories, suction pumps and
related accessories, and cough
stimulators and any related accessories.
Thus, our proposal prevents division of
the multi-function item into separate
parts with separate fee schedule
amounts for each function of the item,
some of which have conflicting payment
rules. Also, this proposed payment
method lessens confusion for the
supplier which could occur if the
supplier were to receive varying
monthly rental amounts for a multifunction item and instead permits a
supplier to receive predictable monthly
payments over the 60 month reasonable
useful lifetime of the multi-function
ventilator.
We are not proposing § 414.222(f) to
apply to other DME items. Subsequent
rulemaking would be necessary to
address other multi-function items.
We are soliciting comments on this
proposal.
sradovich on DSK3GMQ082PROD with PROPOSALS2
IX. Including the Northern Mariana
Islands in Future National Mail Order
CBPs
A. Background
In our CY 2015 ESRD PPS final rule
(79 FR 66223 through 66265), we said
that while section 1847(a)(1)(A) of the
Act provides that CBPs be established
throughout the U.S., the definition of
U.S. at section 210(i) of the Act does not
include the Northern Mariana Islands.
We therefore previously determined that
the Northern Mariana Islands are not
considered an area eligible for inclusion
under a national mail order CBP. We
finalized a proposal regarding fee
schedule adjustments based on
information from the national mail
order program and the Northern
Mariana Islands at § 414.210(g)(7) to
provide that the fee schedule amounts
for mail order items furnished in the
Northern Mariana Islands are adjusted
so that they are equal to 100 percent of
the single payment amounts (SPAs)
established under a national mail order
program. We discussed how a few
commenters recommended waiting for
the second round of bidding for the
national mail order CBP before adjusting
the fee schedule amounts for mail order
items furnished in the Northern Mariana
Islands in order to allow more time to
determine if the competitive bidding
payment amounts allow for access to
items and services and to acquire more
pricing points over an extended period
of time. The commenters further
recommended increasing payment
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amounts for the national mail order SPA
for the Northern Mariana Islands to
limit any access or pricing
complications. In response, we said we
disagreed with these suggestions, and
that the national mail order SPAs
already applied to items shipped to
various remote areas of the U.S. and
have not resulted in any problems with
access to mail order items in these areas.
Therefore, we believed the SPAs could
be used to adjust the mail order fee
schedule amounts for the Northern
Mariana Islands effective January 1,
2016.
B. Current Issues
The national mail order program for
diabetic testing supplies is currently in
effect in all areas of the U.S., except for
the Northern Mariana Islands. Thus, the
Northern Mariana Islands are currently
the only non-CBA for mail order
diabetic testing supplies. However, even
though the Northern Mariana Islands are
currently not included in the national
mail order program, per § 414.210(g)(7),
CMS currently pays for mail order items
furnished in the Northern Mariana
Islands at 100 percent of the SPAs
established under the national mail
order CBP. After further examining this
issue, it is now our view that the
Northern Mariana Islands are an area
eligible for inclusion under a national
mail order CBP. A Joint Resolution
addressing the Northern Mariana
Islands titled ‘‘Covenant to Establish a
Commonwealth of the Northern Mariana
Islands in Political Union with the
United States of America’’ was
approved in 1976 (Pub. L. 94–241
(HJRes 549), 90 Stat 263, March 24,
1976). The Joint Resolution addresses
the applicability of certain federal laws
to the Northern Mariana Islands. Article
V (‘‘Applicability of Laws’’), section
502(a) specifies:
‘‘The following laws of the United
States in existence as of the effective
date of this Section and subsequent
amendments to such laws will apply to
the Northern Mariana Islands, except as
otherwise noted in this Covenant: (1)
Those laws which provide federal
services and financial assistance
programs and the federal banking laws
as they apply to Guam;’’
Thus, under the Joint Resolution, laws
which provide federal services and
financial assistance apply to the
Northern Mariana Islands to the same
extent as they do to Guam. CMS has
recognized the Joint Resolution and
taken the position that the Northern
Mariana Islands fall within the
definition of U.S. under Medicare in 42
CFR 411.9(a). In a proposed rule
published on April 25, 2006, in the
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Federal Register titled ‘‘Medicare
Program; Proposed Changes to the
Hospital Inpatient Prospective Payment
Systems and Fiscal Year 2007 Rates’’,
(71 FR 23996), we discussed the Joint
Resolution and defined the U.S. to
include the 50 States, the District of
Columbia, Puerto Rico, the Virgin
Islands, Guam, American Samoa, and
the Northern Mariana Islands. The
Northern Mariana Islands are also
included in the definition of U.S. at 42
CFR 400.200. Thus, even though the
Northern Mariana Islands are not
explicitly referenced in sections 1861(x)
and 210(h) and (i) (which notably do
reference Guam) of the Act, we believe
that we can consider the Northern
Mariana Islands to be part of the U.S. for
the purposes of the national mail order
program as well.
As such, we propose to amend
§ 414.210(g)(7) to say that beginning on
or after the date that the Northern
Mariana Islands are included under a
national mail order CBP, the fee
schedule adjustment methodology
under this paragraph would no longer
apply. Under this proposed rule, the
Northern Mariana Islands would be
included in the CBA for all
competitions under the national mail
order CBP beginning on or after January
1, 2019.
We are soliciting comments on this
proposal.
C. Provisions of the Proposed Rule
We propose to amend § 414.210(g)(7)
to indicate that beginning on or after the
date that the Northern Mariana Islands
are included under a national mail order
competitive bidding program, the fee
schedule adjustment methodology
under this paragraph would no longer
apply.
We are soliciting comments on this
proposal.
X. Request for Information on the GapFilling Process for Establishing Fees for
New DMEPOS Items
In general, the statute mandates that
fee schedule amounts established for
DME, prosthetics and orthotics and
other items be based on average
payments made previously under the
reasonable charge payment
methodology. The criteria for
determining reasonable charges are at 42
CFR 405.502. For example, the
exclusive payment rule at sections
1834(a)(2), (3), (8), and (9) of the Act
mandates that the fee schedule amounts
for DME generally be based on average
reasonable charges from 1986 and/or
1987, increased by annual covered item
update factors. Since section
1834(a)(1)(C) of the Act mandates that
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this be the exclusive payment rule for
DME, as section 1834(h)(1)(D) of the Act
does for prosthetic devices, prosthetics
and orthotics, CMS is required to
establish fee schedule amounts for these
items based on the amounts and levels
established under the reasonable charge
payment periods set forth in the statute
(that is, July 1, 1986 through June 30,
1987, for prosthetic devices, prosthetics
and orthotics, therapeutic shoes, and
most DME items).
Because there may be DMEPOS items
that come on the market that were not
paid for by Medicare during the
reasonable charge payment periods that
the statute mandates be used for
establishing the fee schedule amounts
for these items, we establish the fee
schedule amounts for newly covered
items using a ‘‘gap-filling’’ process. The
gap-filling process allows Medicare to
establish fee schedule amounts that
align with the statutory basis for the
DMEPOS fee schedule. We essentially
fill the gap in the data due to the lack
of historic reasonable charge payments
from 1986 and 1987 by estimating what
the historic reasonable charge payments
would have been for the items. As
described in section 60.3 of chapter 23
of the Medicare Claims Processing
Manual (Pub. L. 100–04), CMS gap-fills
by using fees for comparable equipment
or prices from supplier price lists, such
as mail order catalogs. The gap-filling
process only applies to items not
assigned existing HCPCS codes that are
also not items that previously were paid
for under a HCPCS code that was either
deleted or revised, in other words truly
new items or technology as opposed to
recoded/reclassified or technologically
refined items or technology. This gapfilling process can result in fee schedule
amounts that greatly exceed the cost to
suppliers of the new technology items
(such as when inflated prices from a
manufacturer were used as a proxy for
supplier price lists under past gapfilling exercises) or do not cover the
costs of furnishing the technology if the
comparable items used for gap-filling
purposes are less expensive than the
new item.
We are considering if changes should
be made to the gap-filling process for
establishing fees for newly covered
DMEPOS items paid on a fee schedule
basis. We are soliciting comments for
information on how the gap-filling
process could be revised in terms of
what data sources or methods could be
used to estimate historic allowed
charges for new technologies in a way
that satisfies the exclusive payment
rules for DMEPOS items and services,
while preventing excessive
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overpayments or underpayments for
new technology items and services.
XI. DMEPOS CBP Technical
Amendments
A. Background
Medicare pays for certain DMEPOS
items and services furnished within
competitive bidding areas based on the
payment rules that are set forth in
section 1847 of the Social Security Act
(the Act) and 42 CFR part 414, subpart
F. We propose to make two minor
technical amendments to correct the
existing DMEPOS CBP regulations in 42
CFR 414.422 published in the Federal
Register on November 6, 2014, titled
‘‘Medicare Program; End-Stage Renal
Disease Prospective Payment System,
Quality Incentive Program, and Durable
Medical Equipment, Prosthetics,
Orthotics, and Supplies; Final Rule’’ (79
FR 66120) and in § 414.423 in a final
rule published in the Federal Register
on November 29, 2010, titled ‘‘Medicare
Program; Payment Policies Under the
Physician Fee Schedule and Other
Revisions to Part B for CY 2011; Final
Rule’’ (75 FR 73169).
B. Proposed Technical Amendments
We are proposing to make minor
technical amendments as follows:
• In § 414.422, we propose to correct
the numbering in section (d)(4), which
contains subsections (i) through (vi), but
omits (ii) in the numbering sequence.
This error was made when the
regulation was promulgated. The
proposed new numbering in section
(d)(4) contains subsections (i) through
(v), including (ii). The content of (d)(4)
would remain the same.
• In § 414.423(i)(8), we propose
removing the reference to ‘‘42 U.S.C.’’
before Title 18. This statutory citation
was inadvertently included when the
regulation was promulgated.
We solicit public comments on these
technical amendments and request that
when commenting on this section,
commenters reference ‘‘DMEPOS CBP
Proposed Technical Amendments.’’
XII. Burden Reduction on
Comorbidities
A. Background
In the CY 2011 ESRD PPS final rule
(75 FR 49094), we finalized six
comorbidity categories that are eligible
for a comorbidity payment adjustment,
each with associated International
Classification of Diseases (ICD) Clinical
Modification diagnosis codes (75 FR
49100). Beginning January 1, 2011, these
categories included three acute, shortterm diagnostic categories (pericarditis,
bacterial pneumonia, and
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gastrointestinal tract bleeding with
hemorrhage) and three chronic
diagnostic categories (hereditary
hemolytic anemia (including sickle cell
anemia), myelodysplastic syndrome,
and monoclonal gammopathy).
We stated in the same rule (75 FR
49099) that we would require ESRD
facilities to have documentation in the
patient’s medical/clinical record to
support any diagnosis recognized for a
payment adjustment, utilizing specific
criteria that we issued in sub-regulatory
guidance, specifically the Medicare
Benefit Policy Manual, Pub. 100–02,
Chapter 11, Section 60.A.5 (https://
www.cms.gov/Regulations-andGuidance/Guidance/Manuals/
downloads/bp102c11.pdf). For example,
to qualify for the pericarditis
comorbidity adjustment, at least two of
the four following criteria must be met:
Atypical chest pain; pericardial friction
rub; suggestive electrocardiogram
changes (for example, widespread ST
segment elevation with reciprocal ST
segment depressions and PR
depressions) not previously reported;
and new or worsening pericardial
effusion. In response to such
requirements, stakeholders have
suggested it would require additional
testing or procedures to document a
comorbidity, which was not our intent.
Rather, our assumption was that the
patient’s diagnosing physician would
provide the documentation. In the CY
2011 ESRD PPS final rule (75 FR 49104),
we stated that ESRD facilities will
obtain diagnostic information through
increased communication with their
patients, their patient’s nephrologists
and their patient’s families. If there is no
documentation in the medical record,
the ESRD facility would be unable to
claim a comorbidity payment
adjustment for that patient, but could
seek payment through the outlier
mechanism.
In the CY 2012 ESRD PPS final rule
(76 FR 70252), we clarified that the
ICD–9–CM codes eligible for the
comorbidity payment adjustment are
subject to the annual ICD–9–CM coding
updates that occur in the hospital
Inpatient Prospective Payment System
final rule and are effective October 1st
of each year. We explained that any
updates to the ICD–9–CM codes that
affect the categories of comorbidities
and the diagnoses within the
comorbidity categories that are eligible
for a comorbidity payment adjustment
would be communicated to ESRD
facilities through sub-regulatory
guidance. We update the list of eligible
diagnosis codes on an annual basis and
communicate these changes through the
CMS.gov website.
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In the CY 2016 ESRD PPS final rule
(80 FR 68989 through 68990), in
consideration of stakeholder concerns
about the burden associated with
meeting the documentation
requirements for bacterial pneumonia,
we finalized the elimination of the casemix payment adjustment for the
comorbidity categories of bacterial
pneumonia and monoclonal
gammopathy beginning in CY 2016.
B. Proposed Documentation
Requirements
In the CY 2018 ESRD PPS proposed
rule (82 FR 31224), we published a
request for information (RFI) related to
improvements to the health care
delivery system that reduce unnecessary
burdens for clinicians, other providers,
and patients and their families and
invited the public to submit their ideas
for regulatory, sub-regulatory, policy,
practice, and procedural changes to
better accomplish these goals. The aim
of the RFI was to request information
that would lead to increased quality of
care, lower costs, improved program
integrity, and to make the health care
system more effective, simple and
accessible.
After a review of the comments
received in response to the RFI, we have
determined that the documentation
requirements associated with the
conditions that are eligible for the
comorbidity payment adjustment
should be revisited. We have heard from
stakeholders that they continue to face
challenges in obtaining the required
documentation in order to report
specific diagnosis codes and obtain the
comorbidity payment adjustments.
Additionally, we have determined that
the ESRD PPS documentation
requirements are more rigorous than the
documentation requirements under
other CMS payment systems that
generally rely on the ICD Official
Guidelines.
In order to reduce burden on ESRD
facilities and provide consistent policy
across Medicare payment systems, we
are proposing to reduce the
documentation requirements necessary
for justification of the comorbidity
payment adjustment. Specifically, we
would no longer require that ESRD
facilities obtain results from specific
diagnostic tests in order to qualify for a
comorbidity payment adjustment.
Instead, we propose to rely on the
guidelines established by the Official
ICD Guidelines for Coding and
Reporting. This proposal does not
preclude the requirement for ESRD
facilities to maintain clear
documentation in the beneficiary’s
medical record used to justify the
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reporting of diagnosis codes, which is
also necessary for adherence to ICD
Guidelines. Documentation required to
meet ICD guidelines continues to be
required for purposes of the adjustment.
We are soliciting comment on this
proposal.
XIII. Requests for Information
This section addresses two requests
for information (RFIs). Upon reviewing
the RFIs, respondents are encouraged to
provide complete, but concise
responses. These RFIs are issued solely
for information and planning purposes;
neither RFI constitutes a Request for
Proposal (RFP), application, proposal
abstract, or quotation. The RFIs do not
commit the U.S. Government to contract
for any supplies or services or make a
grant award. Further, CMS is not
seeking proposals through these RFIs
and will not accept unsolicited
proposals. Responders are advised that
the U.S. Government will not pay for
any information or administrative costs
incurred in response to this RFI; all
costs associated with responding to
these RFIs will be solely at the
interested party’s expense. Failing to
respond to either RFI will not preclude
participation in any future procurement,
if conducted. Please note that CMS will
not respond to questions about the
policy issues raised in these RFIs. CMS
may or may not choose to contact
individual responders. Such
communications would only serve to
further clarify written responses.
Contractor support personnel may be
used to review RFI responses.
Responses to these RFIs are not offers
and cannot be accepted by the U.S.
Government to form a binding contract
or issue a grant. Information obtained as
a result of this RFI may be used by the
U.S. Government for program planning
on a non-attribution basis. Respondents
should not include any information that
might be considered proprietary or
confidential. All submissions become
U.S. Government property and will not
be returned. CMS may publically post
the comments received, or a summary
thereof.
A. Request for Information on
Promoting Interoperability and
Electronic Healthcare Information
Exchange Through Possible Revisions to
the CMS Patient Health and Safety
Requirements for Hospitals and Other
Medicare- and Medicaid-Participating
Providers and Suppliers
Currently, Medicare- and Medicaidparticipating providers and suppliers
are at varying stages of adoption of
health information technology (health
IT). Many hospitals have adopted
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electronic health records (EHRs), and
CMS has provided incentive payments
to eligible hospitals, critical access
hospitals (CAHs), and eligible
professionals who have demonstrated
meaningful use of certified EHR
technology (CEHRT) under the Medicare
EHR Incentive Program. As of 2015, 96
percent of Medicare- and Medicaidparticipating non-Federal acute care
hospitals had adopted certified EHRs
with the capability to electronically
export a summary of clinical care.35
While both adoption of EHRs and
electronic exchange of information have
grown substantially among hospitals,
significant obstacles to exchanging
electronic health information across the
continuum of care persist. Routine
electronic transfer of information postdischarge has not been achieved by
providers and suppliers in many
localities and regions throughout the
Nation.
CMS is firmly committed to the use of
certified health IT and interoperable
EHR systems for electronic healthcare
information exchange to effectively help
hospitals and other Medicare- and
Medicaid-participating providers and
suppliers improve internal care delivery
practices, support the exchange of
important information across care team
members during transitions of care, and
enable reporting of electronically
specified clinical quality measures
(eCQMs). The Office of the National
Coordinator for Health Information
Technology (ONC) acts as the principal
Federal entity charged with
coordination of nationwide efforts to
implement and use health information
technology and the electronic exchange
of health information on behalf of the
Department of Health and Human
Services.
In 2015, ONC finalized the 2015
Edition health IT certification criteria
(2015 Edition), the most recent criteria
for health IT to be certified to under the
ONC Health IT Certification Program.
The 2015 Edition facilitates greater
interoperability for several clinical
health information purposes and
enables health information exchange
through new and enhanced certification
criteria, standards, and implementation
specifications. CMS requires eligible
hospitals and CAHs in the Medicare and
Medicaid EHR Incentive Programs and
eligible clinicians in the Quality
Payment Program (QPP) to use EHR
technology certified to the 2015 Edition
beginning in CY 2019.
35 These statistics can be accessed at: https://
dashboard.healthit.gov/quickstats/pages/FIGHospital-EHR-Adoption.php.
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In addition, several important
initiatives will be implemented over the
next several years to provide hospitals
and other participating providers and
suppliers with access to robust
infrastructure that will enable routine
electronic exchange of health
information. Section 4003 of the 21st
Century Cures Act (Pub. L. 114–255),
enacted in 2016, and amending section
3000 of the Public Health Service Act
(42 U.S.C. 300jj), requires HHS to take
steps to advance the electronic exchange
of health information and
interoperability for participating
providers and suppliers in various
settings across the care continuum.
Specifically, Congress directed that
ONC ‘‘. . . for the purpose of ensuring
full network-to-network exchange of
health information, convene publicprivate and public-public partnerships
to build consensus and develop or
support a trusted exchange framework,
including a common agreement among
health information networks
nationally.’’ In January 2018, ONC
released a draft version of its proposal
for the Trusted Exchange Framework
and Common Agreement,36 which
outlines principles and minimum terms
and conditions for trusted exchange to
enable interoperability across disparate
health information networks (HINs).
The Trusted Exchange Framework (TEF)
is focused on achieving the following
four important outcomes in the longterm:
• Professional care providers, who
deliver care across the continuum, can
access health information about their
patients, regardless of where the patient
received care.
• Patients can find all of their health
information from across the care
continuum, even if they do not
remember the name of the professional
care provider they saw.
• Professional care providers and
health systems, as well as public and
private health care organizations and
public and private payer organizations
accountable for managing benefits and
the health of populations, can receive
necessary and appropriate information
on groups of individuals without having
to access one record at a time, allowing
them to analyze population health
trends, outcomes, and costs; identify atrisk populations; and track progress on
quality improvement initiatives.
• The health IT community has open
and accessible application programming
interfaces (APIs) to encourage
36 The draft version of the trusted Exchange
Framework may be accessed at: https://
beta.healthit.gov/topic/interoperability/trustedexchange-framework-and-common-agreement.
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entrepreneurial, user-focused
innovation that will make health
information more accessible and
improve EHR usability.
ONC will revise the draft TEF based
on public comment and ultimately
release a final version of the TEF that
will subsequently be available for
adoption by HINs and their participants
seeking to participate in nationwide
health information exchange. The goal
for stakeholders that participate in, or
serve as, a HIN is to ensure that
participants will have the ability to
seamlessly share and receive a core set
of data from other network participants
in accordance with a set of permitted
purposes and applicable privacy and
security requirements. Broad adoption
of this framework and its associated
exchange standards is intended to both
achieve the outcomes described above
while creating an environment more
conducive to innovation.
In light of the widespread adoption of
EHRs along with the increasing
availability of health information
exchange infrastructure predominantly
among hospitals, we are interested in
hearing from stakeholders on how we
could use the CMS health and safety
standards that are required for providers
and suppliers participating in the
Medicare and Medicaid programs (that
is, the Conditions of Participation
(CoPs), Conditions for Coverage (CfCs),
and Requirements for Participation
(RfPs) for Long-Term Care (LTC)
Facilities) to further advance electronic
exchange of information that supports
safe, effective transitions of care
between hospitals and community
providers. Specifically, CMS might
consider revisions to the current CMS
CoPs for hospitals, such as: Requiring
that hospitals transferring medically
necessary information to another facility
upon a patient transfer or discharge do
so electronically; requiring that
hospitals electronically send required
discharge information to a community
provider via electronic means if possible
and if a community provider can be
identified; and requiring that hospitals
make certain information available to
patients or a specified third-party
application (for example, required
discharge instructions) via electronic
means if requested.
On November 3, 2015, we published
a proposed rule (80 FR 68126) to
implement the provisions of the
Improving Medicare Post-Acute Care
Transformation Act of 2014 (the
IMPACT Act) (Pub. L. 113–185) and to
revise the discharge planning CoP
requirements that hospitals (including
short-term acute care hospitals, longterm care hospitals (LTCHs),
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rehabilitation hospitals, psychiatric
hospitals, children’s hospitals, and
cancer hospitals), critical access
hospitals (CAHs), and home health
agencies (HHAs) would need to meet in
order to participate in the Medicare and
Medicaid programs. This proposed rule
has not been finalized yet. However,
several of the proposed requirements
directly address the issue of
communication between providers and
between providers and patients, as well
as the issue of interoperability:
• Hospitals and CAHs would be
required to transfer certain necessary
medical information and a copy of the
discharge instructions and discharge
summary to the patient’s practitioner, if
the practitioner is known and has been
clearly identified;
• Hospitals and CAHs would be
required to send certain necessary
medical information to the receiving
facility/post-acute care providers, at the
time of discharge; and
• Hospitals, CAHs, and HHAs would
need to comply with the IMPACT Act
requirements that would require
hospitals, CAHs, and certain post-acute
care providers to use data on quality
measures and data on resource use
measures to assist patients during the
discharge planning process, while
taking into account the patient’s goals of
care and treatment preferences.
We published another proposed rule
(81 FR 39448) on June 16, 2016, that
updated a number of CoP requirements
that hospitals and CAHs would need to
meet in order to participate in the
Medicare and Medicaid programs. This
proposed rule has not been finalized
yet. One of the proposed hospital CoP
revisions in that rule directly addresses
the issues of communication between
providers and patients, patient access to
their medical records, and
interoperability. We proposed that
patients have the right to access their
medical records, upon an oral or written
request, in the form and format
requested by such patients, if it is
readily producible in such form and
format (including in an electronic form
or format when such medical records
are maintained electronically); or, if not,
in a readable hard copy form or such
other form and format as agreed to by
the facility and the individual,
including current medical records,
within a reasonable timeframe. The
hospital must not frustrate the
legitimate efforts of individuals to gain
access to their own medical records and
must actively seek to meet these
requests as quickly as its recordkeeping
system permits.
We also published a final rule (81 FR
68688) on October 4, 2016, that revised
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the requirements that LTC facilities
must meet to participate in the Medicare
and Medicaid programs. In this rule, we
made a number of revisions based on
the importance of effective
communication between providers
during transitions of care, such as
transfers and discharges of residents to
other facilities or providers, or to home.
Among these revisions was a
requirement that the transferring LTC
facility must provide all necessary
information to the resident’s receiving
provider, whether it is an acute care
hospital, an LTCH, a psychiatric facility,
another LTC facility, a hospice, a home
health agency, or another communitybased provider or practitioner (42 CFR
483.15(c)(2)(iii)). We specified that
necessary information must include the
following:
• Contact information of the
practitioner responsible for the care of
the resident;
• Resident representative information
including contact information;
• Advance directive information;
• Special instructions or precautions
for ongoing care;
• The resident’s comprehensive care
plan goals; and
• All other necessary information,
including a copy of the resident’s
discharge or transfer summary and any
other documentation to ensure a safe
and effective transition of care.
We note that the discharge summary
mentioned above must include
reconciliation of the resident’s
medications, as well as a recapitulation
of the resident’s stay, a final summary
of the resident’s status, and the postdischarge plan of care. In addition, in
the preamble to the rule, we encouraged
LTC facilities to electronically exchange
this information if possible and to
identify opportunities to streamline the
collection and exchange of resident
information by using information that
the facility is already capturing
electronically.
Additionally, we specifically invite
stakeholder feedback on the following
questions regarding possible new or
revised CoPs/CfCs/RfPs for
interoperability and electronic exchange
of health information:
• If CMS were to propose a new CoP/
CfC/RfP standard to require electronic
exchange of medically necessary
information, would this help to reduce
information blocking as defined in
section 4004 of the 21st Century Cures
Act?
• Should CMS propose new CoPs/
CfCs/RfPs for hospitals and other
participating providers and suppliers to
ensure a patient’s or resident’s (or his or
her caregiver’s or representative’s) right
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and ability to electronically access his
or her health information without
undue burden? Would existing portals
or other electronic means currently in
use by many hospitals satisfy such a
requirement regarding patient/resident
access as well as interoperability?
• Are new or revised CMS CoPs/CfCs/
RfPs for interoperability and electronic
exchange of health information
necessary to ensure patients/residents
and their treating providers routinely
receive relevant electronic health
information from hospitals on a timely
basis or will this be achieved in the next
few years through existing Medicare and
Medicaid policies, the implementing
regulations related to the privacy and
security standards of the Health
Insurance Portability and
Accountability Act of 1996 (HIPAA)
(Pub. L. 104–91), and implementation of
relevant policies in the 21st Century
Cures Act?
• What would be a reasonable
implementation timeframe for
compliance with new or revised CMS
CoPs/CfCs/RfPs for interoperability and
electronic exchange of health
information if CMS were to propose and
finalize such requirements? Should
these requirements have delayed
implementation dates for specific
participating providers and suppliers, or
types of participating providers and
suppliers (for example, participating
providers and suppliers that are not
eligible for the Medicare and Medicaid
EHR Incentive Programs)?
• Do stakeholders believe that new or
revised CMS CoPs/CfCs/RfPs for
interoperability and electronic exchange
of health information would help
improve routine electronic transfer of
health information as well as overall
patient/resident care and safety?
• Under new or revised CoPs/CfCs/
RfPs, should non-electronic forms of
sharing medically necessary information
(for example, printed copies of patient/
resident discharge/transfer summaries
shared directly with the patient/resident
or with the receiving provider or
supplier, either directly transferred with
the patient/resident or by mail or fax to
the receiving provider or supplier) be
permitted to continue if the receiving
provider, supplier, or patient/resident
cannot receive the information
electronically?
• Are there any other operational or
legal considerations (for example,
implementing regulations related to the
HIPAA privacy and security standards),
obstacles, or barriers that hospitals and
other providers and suppliers would
face in implementing changes to meet
new or revised interoperability and
health information exchange
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34393
requirements under new or revised CMS
CoPs/CfCs/RfPs if they are proposed and
finalized in the future?
• What types of exceptions, if any, to
meeting new or revised interoperability
and health information exchange
requirements should be allowed under
new or revised CMS CoPs/CfCs/RfPs if
they are proposed and finalized in the
future? Should exceptions under the
QPP, including CEHRT hardship or
small practices, be extended to new
requirements? Would extending such
exceptions impact the effectiveness of
these requirements?
We would also like to directly address
the issue of communication between
hospitals (as well as the other providers
and suppliers across the continuum of
patient care) and their patients and
caregivers. MyHealthEData is a
government-wide initiative aimed at
breaking down barriers that contribute
to preventing patients from being able to
access and control their medical
records. Privacy and security of patient
data will be at the center of all CMS
efforts in this area. CMS must protect
the confidentiality of patient data, and
CMS is completely aligned with the
Department of Veterans Affairs (VA), the
National Institutes of Health (NIH),
ONC, and the rest of the Federal
Government, on this objective.
While some Medicare beneficiaries
have had, for quite some time, the
ability to download their Medicare
claims information, in pdf or Excel
formats, through the CMS Blue Button
platform, the information was provided
without any context or other
information that would help
beneficiaries understand what the data
were really telling them. For
beneficiaries, their claims information is
useless if it is either too hard to obtain
or, as was the case with the information
provided through previous versions of
Blue Button, hard to understand. In an
effort to fully contribute to the Federal
Government’s MyHealthEData initiative,
CMS developed and launched the new
Blue Button 2.0, which represents a
major step toward giving patients
meaningful control of their health
information in an easy-to-access and
understandable way. Blue Button 2.0 is
a developer-friendly, standards-based
application programming interface (API)
that enables Medicare beneficiaries to
connect their claims data to secure
applications, services, and research
programs they trust. The possibilities for
better care through Blue Button 2.0 data
are exciting, and might include enabling
the creation of health dashboards for
Medicare beneficiaries to view their
health information in a single portal, or
allowing beneficiaries to share complete
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medication lists with their doctors to
prevent dangerous drug interactions.
To fully understand all of these health
IT interoperability issues, initiatives,
and innovations through the lens of its
regulatory authority, CMS invites
members of the public to submit their
ideas on how best to accomplish the
goal of fully interoperable health IT and
EHR systems for Medicare- and
Medicaid-participating providers and
suppliers, as well as how best to further
contribute to and advance the
MyHealthEData initiative for patients.
We are particularly interested in
identifying fundamental barriers to
interoperability and health information
exchange, including those specific
barriers that prevent patients from being
able to access and control their medical
records. We also welcome the public’s
ideas and innovative thoughts on
addressing these barriers and ultimately
removing or reducing them in an
effective way, specifically through
revisions to the current CMS CoPs, CfCs,
and RfPs for hospitals and other
participating providers and suppliers.
We have received stakeholder input
through recent CMS Listening Sessions
on the need to address health IT
adoption and interoperability among
providers that were not eligible for the
Medicare and Medicaid EHR Incentives
program, including long-term and postacute care providers, behavioral health
providers, clinical laboratories and
social service providers, and we would
also welcome specific input on how to
encourage adoption of certified health
IT and interoperability among these
types of providers and suppliers as well.
B. Request for Information on Price
Transparency: Improving Beneficiary
Access to Provider and Supplier Charge
Information
In the FY 2019 IPPS/LTCH PPS
proposed rule (83 FR 20548–49) and the
FY 2015 IPPS/LTCH PPS proposed and
final rules (79 FR 28169 and 79 FR
50146, respectively), we stated that we
intend to continue to review and post
relevant charge data in a consumerfriendly way, as we previously have
done by posting hospital and physician
charge information on the CMS
website.37 In the FY 2019 IPPS/LTCH
PPS proposed rule, we also continued
our discussion of the implementation of
section 2718(e) of the Public Health
Service Act, which aims to improve the
transparency of hospital charges. This
discussion in the FY 2019 IPPS/LTCH
37 See, for example, Medicare Provider Utilization
and Payment Data, available at: https://
www.cms.gov/Research-Statistics-Data-andSystems/Statistics-Trends-and-Reports/MedicareProvider-Charge-Data/.
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PPS proposed rule continued a
discussion we began in the FY 2015
IPPS/LTCH PPS proposed rule and final
rule (79 FR 28169 and 79 FR 50146,
respectively). In all of these rules, we
noted that section 2718(e) of the Public
Health Service Act requires that each
hospital operating within the United
States, for each year, establish (and
update) and make public (in accordance
with guidelines developed by the
Secretary) a list of the hospital’s
standard charges for items and services
provided by the hospital, including for
diagnosis-related groups (DRGs)
established under section 1886(d)(4) of
the Social Security Act. In the FY 2015
IPPS/LTCH PPS proposed and final
rules, we reminded hospitals of their
obligation to comply with the
provisions of section 2718(e) of the
Public Health Service Act and provided
guidelines for its implementation. We
stated that hospitals are required to
either make public a list of their
standard charges (whether that be the
chargemaster itself or in another form of
their choice) or their policies for
allowing the public to view a list of
those charges in response to an inquiry.
In the FY 2019 IPPS/LTCH PPS
proposed rule, we took one step to
further improve the public accessibility
of charge information. Specifically,
effective January 1, 2019, we are
updating our guidelines to require
hospitals to make available a list of their
current standard charges via the Internet
in a machine readable format and to
update this information at least
annually, or more often as appropriate.
In general, we encourage all providers
and suppliers of healthcare services to
undertake efforts to engage in consumerfriendly communication of their charges
to help patients understand what their
potential financial liability might be for
services they obtain, and to enable
patients to compare charges for similar
services. We encourage providers and
suppliers to update this information at
least annually, or more often as
appropriate, to reflect current charges.
We are concerned that challenges
continue to exist for patients due to
insufficient price transparency. Such
challenges include patients being
surprised by out-of-network bills for
physicians, such as anesthesiologists
and radiologists, who provide services
at in-network hospitals and in other
settings, and patients being surprised by
facility fees, physician fees for
emergency department visits, or by fees
for provider and supplier services that
the beneficiary considered to be part of
an episode of care involving a hospital
but were not services furnished by the
hospital. We also are concerned that, for
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providers and suppliers that maintain a
list of standard charges, the charge data
may not be helpful to patients for
determining what they are likely to pay
for a particular service or facility
encounter. In order to promote greater
price transparency for patients, we are
considering ways to improve the
accessibility and usability of current
charge information.
We also are considering potential
actions that would be appropriate to
further our objective of having providers
and suppliers undertake efforts to
engage in consumer-friendly
communication of their charges to help
patients understand what their potential
financial liability might be for services
they obtain from the provider or
supplier, and to enable patients to
compare charges for similar services
across providers and suppliers,
including services that could be offered
in more than one setting. Therefore, we
are seeking public comment from all
providers and suppliers, including
ESRD facilities and DME suppliers, on
the following:
• How should we define ‘‘standard
charges’’ in various provider and
supplier settings? Is there one definition
for those settings that maintain
chargemasters, and potentially a
different definition for those settings
that do not maintain chargemasters?
Should ‘‘standard charges’’ be defined
to mean: Average or median rates for the
items on a chargemaster or other price
list or charge list; average or median
rates for groups of items and/or services
commonly billed together, as
determined by the provider or supplier
based on its billing patterns; or the
average discount off the chargemaster,
price list or charge list amount across all
payers, either for each separately
enumerated item or for groups of
services commonly billed together?
Should ‘‘standard charges’’ be defined
and reported for both some measure of
the average contracted rate and the
chargemaster, price list or charge list?
Or is the best measure of a provider’s or
supplier’s standard charges its
chargemaster, price list or charge list?
• What types of information would be
most beneficial to patients, how can
health care providers and suppliers best
enable patients to use charge and cost
information in their decision-making,
and how can CMS and providers and
suppliers help third parties create
patient-friendly interfaces with these
data?
• Should providers and suppliers be
required to inform patients how much
their out of pocket costs for a service
will be before those patients are
furnished that service? How can
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information on out-of-pocket costs be
provided to better support patients’
choice and decision-making? What
changes would be needed to support
greater transparency around patient
obligations for their out-of-pocket costs?
How can CMS help beneficiaries to
better understand how copayment and
coinsurance are applied to each service
covered by Medicare? What can be done
to better inform patients of their
financial obligations? Should providers
and suppliers play any role in helping
to inform patients of what their out-ofpocket obligations will be?
• Can we require providers and
suppliers to provide patients with
information on what Medicare pays for
a particular service performed by that
provider or supplier? If so, what
changes would need to be made by
providers and suppliers? What burden
would be added as a result of such a
requirement?
In addition, we are seeking public
comment on improving a Medigap
patient’s understanding of his or her
out-of-pocket costs prior to receiving
services, especially with respect to the
following particular questions:
• How does Medigap coverage affect
patients’ understanding of their out of
pocket costs before they receive care?
What challenges do providers and
suppliers face in providing information
about out-of-pocket costs to patients
with Medigap? What changes can
Medicare make to support providers and
suppliers that share out-of-pocket cost
information with patients that reflects
the patient’s Medigap coverage? Who is
best situated to provide patients with
clear Medigap coverage information on
their out-of-pocket costs prior to receipt
of care? What role can Medigap plans
play in providing information to
patients on their expected out-of-pocket
costs for a service? What state-specific
requirements or programs help educate
Medigap patients about their out-ofpocket costs prior to receipt of care?
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XIV. Collection of Information
Requirements
A. Legislative Requirement for
Solicitation of Comments
Under the Paperwork Reduction Act
of 1995, we are required to provide 60day notice in the Federal Register and
solicit public comment before a
collection of information requirement is
submitted to the Office of Management
and Budget (OMB) for review and
approval. In order to fairly evaluate
whether an information collection
requirement should be approved by
OMB, section 3506(c)(2)(A) of the
Paperwork Reduction Act of 1995
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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. Requirements in Regulation Text
In section II.B.1 and II.B.2.b of this
proposed rule, we are proposing
changes to regulatory text for the ESRD
PPS in CY 2019. However, the changes
that are being proposed do not impose
any new information collection
requirements.
C. Additional Information Collection
Requirements
This proposed rule does not impose
any new information collection
requirements in the regulation text, as
specified above. However, there are
changes in some currently approved
information collections. The following
is a discussion of these information
collections.
1. ESRD QIP—Wage Estimates
To derive wage estimates, we used
data from the U.S. Bureau of Labor
Statistics’ May 2016 National
Occupational Employment and Wage
Estimates. In the CY 2016 ESRD PPS
final rule (80 FR 69069), we stated that
it was reasonable to assume that
Medical Records and Health
Information Technicians, who are
responsible for organizing and managing
health information data,38 are the
individuals tasked with submitting
measure data to CROWNWeb and
NHSN, as well as compiling and
submitting patient records for purposes
of the data validation studies rather than
a Registered Nurse, whose duties are
centered on providing and coordinating
care for patients.39 The mean hourly
wage of a Medical Records and Health
Information Technician is $20.59 per
hour. Fringe benefit and overhead are
calculated at 100 percent. Therefore,
using these assumptions, we estimate an
hourly labor cost of $41.18 as the basis
of the wage estimates for all collection
of information calculations in the ESRD
QIP. We have adjusted these employee
hourly wage estimates by a factor of 100
percent to reflect current HHS
38 https://www.bls.gov/oes/current/
oes292071.htm.
39 https://www.bls.gov/oes/current/
oes291141.htm.
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department-wide guidance on
estimating the cost of fringe benefits and
overhead. These are necessarily rough
adjustments, both because fringe
benefits and overhead costs vary
significantly from employer to employer
and because methods of estimating
these costs vary widely from study to
study. Nonetheless, there is no practical
alternative and we believe that these are
reasonable estimation methods.
We used these updated wage
estimates along with updated facility
counts and patient counts to re-estimate
the total information collection burden
under the ESRD QIP. We estimate the
total information collection burden for
the PY 2021 ESRD QIP to be $181
million, and for PY 2022, to be $202
million for a net incremental burden of
$21 million.
a. Estimated Time Required To Submit
Data Based on Proposed Reporting
Requirements
In the CY 2016 ESRD PPS final rule
(80 FR 69070), we estimated that the
time required to submit measure data
using CROWNWeb is 2.5 minutes per
data element submitted, which takes
into account the small percentage of
data that is manually reported, as well
as the human interventions required to
modify batch submission files to ensure
that they meet CROWNWeb’s internal
data format requirements.
b. Estimated Burden Associated With
the Data Validation Requirements for PY
2021 and PY 2022
Section IV.B.6 of this proposed rule
outlines our data validation proposals.
Specifically, for the CROWNWeb
validation, we are proposing to adopt
the CROWNWeb data validation
methodology that we previously
adopted for the PY 2016 ESRD QIP as
the methodology we would use to
validate CROWNWeb data for all
payment years, beginning with PY 2021.
Under this methodology, 300 facilities
would be selected each year to submit
to CMS not more than 10 records, and
we would reimburse these facilities for
the costs associated with copying and
mailing the requested records. The
burden associated with these validation
requirements is the time and effort
necessary to submit the requested
records to a CMS contractor. We
estimate that it would take each facility
approximately 2.5 hours to comply with
this requirement. If 300 facilities are
asked to submit records, we estimate
that the total combined annual burden
for these facilities would be 750 hours
(300 facilities × 2.5 hours). Since we
anticipate that Medical Records and
Health Information Technicians or
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similar administrative staff would
submit these data, we estimate that the
aggregate cost of the CROWNWeb data
validation each year would be
approximately $30,885 (750 hours ×
$41.18), or an annual total of
approximately $103 ($30,885/300
facilities) per facility in the sample. The
burden associated with these
requirements is captured in an
information collection request (OMB
control number 0938–1289).
Under the proposed continued study
for validating data reported to the NHSN
Dialysis Event Module, we are
proposing to modify the sampling
methodology finalized in the CY 2018
ESRD PPS final rule (82 FR 50766
through 50767). Under the proposed
modifications, we would select 150
facilities for participation in the PY
2021 validation study and 300 facilities
for participation in the PY 2022
validation study. A CMS contractor
would send these facilities requests for
20 patient records for each of 2 quarters
of data reported in CY 2018 (for a total
of 40 patient records per facility). The
burden associated with these validation
requirements is the time and effort
necessary to submit the requested
records to a CMS contractor. We
estimate that it would take each facility
approximately 10 hours to comply with
this requirement. If 150 facilities are
asked to submit records, as proposed for
PY 2021, we estimate that the total
combined annual burden for these
facilities would be 1,500 hours (150
facilities × 10 hours). Since we
anticipate that Medical Records and
Health Information Technicians or
similar administrative staff would
submit these data, we estimate that the
aggregate cost of the NHSN data
validation in PY 2021 would be $61,770
(1,500 hours × $41.18), or a total of
approximately $412 ($61,770/150
facilities) per facility in the sample in
PY 2021. If 300 facilities are asked to
submit records, as proposed for PY
2022, we estimate that the total
combined annual burden for these
facilities would be 3,000 hours (300
facilities × 10 hours). Since we
anticipate that Medical Records and
Health Information Technicians or
similar administrative staff would
submit these data, we estimate that the
aggregate cost of the NHSN data
validation in PY 2022 would be
$123,540 (3,000 hours × $41.18), or a
total of approximately $412 ($123,540/
300 facilities) per facility in the sample
for PY 2022. The information collection
request (OMB control number 0938–
1340) will be revised and sent to OMB
for approval.
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2. Proposed New CROWNWeb
Reporting Requirements for PY 2021, PY
2022, and PY 2024
To determine the burden associated
with proposed new collection of
information requirements, we look at
the total number of patients nationally,
the number of data elements per patientyear that the facility would be required
to submit to CROWNWeb for each
measure, the amount of time required
for data entry, the estimated wage plus
benefits applicable to the individuals
within facilities who are most likely to
be entering data into CROWNWeb, and
the number of facilities submitting data
to CROWNWeb. In section IV.B.1.c of
this proposed rule, we are proposing to
modify our data collection requirements
for PY 2021 by removing four reporting
measures from the ESRD QIP measure
set. These changes would result in a
burden collection savings of
approximately $12 million for PY 2021
(from an estimated $193 million in total
ESRD QIP burden for PY 2021 to an
estimated $181 million). Approximately
$2 million of that reduction is
attributable to the proposed removal of
the Pain Assessment and Follow-Up
reporting measure and the remaining
$10 million of that reduction is
attributable to the proposed removal of
the Serum Phosphorus reporting
measure. The total reduction in burden
hours is approximately 300,000 hours
(from an estimated 4.7 million burden
hours for PY 2021 to an estimated 4.4
million burden hours). Approximately
40,000 hours of that reduction is
attributable to the proposed removal of
the Pain Assessment and Follow-Up
reporting measure and the remaining
260,000 hours of that reduction is
attributable to the proposed removal of
the Serum Phosphorus reporting
measure. The proposed removal of the
other two reporting measures
(Healthcare Personnel Influenza
Vaccination and Anemia Management)
would not affect our burden
calculations because data on those
measures are not reported through
CROWNWeb.
In section IV.C.1 of this proposed
rule, we are proposing to adopt two new
measures beginning with PY 2022. We
estimate that the burden associated with
this new data collection requirement
would be approximately $21 million, or
an estimated 510,000 burden hours, and
that this burden would be attributable
entirely to the reporting of data on the
proposed MedRec measure. Since
facilities are not required to submit data
to CROWNWeb for the PPPW measure,
we estimate that there would be no
additional burden on facilities if our
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proposal to adopt the PPPW measure is
finalized. We estimate that the total
burden increase associated with
reporting data on the two new measures
proposed for PY 2022 is $21 million.
The information collection request
under OMB control number 0938–1289
will be revised and sent to OMB.
In section IV.D.1 of this proposed
rule, we are proposing to adopt one new
measure beginning in PY 2024. We
estimate that the burden associated with
the proposed measure will be zero.
Since facilities are not required to
submit data to CROWNWeb for the SWR
measure, there is no burden in
connection with this measure in PY
2024.
3. DMEPOS Competitive Bidding
Program
a. Bidding Forms A and B
Section V.D of this proposed rule
outlines our proposed changes to the
DMEPOS CBP. DMEPOS suppliers
submit bids in order to compete to
become a contract supplier to furnish
competitively bid items to Medicare
beneficiaries who live in a CBA. CMS
publishes Request for Bids instructions
to describe DMEPOS CBP requirements
and to instruct bidders through the bid
submission process. Bids are submitted
electronically via the DMEPOS Bidding
System (DBidS), which is the DMEPOS
CBPs’ online bidding system. The bids
submitted before the close of the bid
window are evaluated to determine
which bidders will be offered contracts.
Form A collects key business
information to identify a bidder, the
areas and products where the bidder
chooses to bid, and pertinent
information to indicate whether the
bidder meets all eligibility
requirements. A thorough analysis is
performed of all information submitted
to determine that the bidder has met all
requirements, including licensure,
financial, and quality standards. Form B
contains key bid information including
the bid amount for each item, historical
experience providing each item, and
specific manufacturer and model
information for each item. The
manufacturer and model information is
utilized to populate the Medicare
Supplier Directory during the contract
period for bidders that are awarded a
contract. CMS utilizes the combined
information from Forms A and B to
select winning bidders and establish
single payment amounts for
competitively bid items and services.
The previously approved information
collection request is under OMB control
number 0938–1016.
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All bidders must submit their
information and signature(s)
electronically into Forms A and B using
DBidS. This system allows bidders to
efficiently and consistently provide the
necessary information contained on
Forms A and B for CMS to review.
Bidders are allowed to make changes to
their bids at any time prior to the close
of the bid window, at which time
bidders are required to complete,
approve, and certify their bids. The
Competitive Bidding Implementation
Contractor (CBIC) will use the
appropriate technology to safely obtain
and secure the bidding information that
is transmitted. Assistance and technical
support is available to bidders
throughout the competitive bidding
process. Bidders will be required to
submit supporting documentation such
as required financial documents, proof
of a bid surety bond(s), and any network
agreement(s) to the CBIC.
b. Burden Estimates (Hours and Wages)
for Bidding Forms A and B
Form A is used to identify the bidder.
This form includes information for all
locations that would be included with
the bid(s). In preparation for the next
round, CMS has incorporated an update
to this form that would also provide
new instructions in accordance with
§ 414.412(h), allowing the bidder to
attest that they have obtained a bid
surety bond for each CBA for which
they are submitting a bid.
We have estimated the time to obtain
a bid surety bond from a surety
company (including contacting the
company, filling out forms, submitting
forms, filing paperwork, etc.) to be 11
minutes. Additionally, we estimate that
the time to assemble and complete the
new bid surety bond section of Form A
to be 5 minutes. The time to submit the
bid surety bond documentation is
estimated to take an additional 5
minutes. Therefore, the total time to
complete Form A has changed from 8
hours to 8 hours and 21 minutes. Based
on the number of bidders from prior
rounds of competition, we have
estimated the number of respondents
(bidders) to be 1,500 for the next round.
Each bidder would be required to
complete one Form A for each round in
which it bids. We anticipate that this
form would be completed by the
equivalent of an Administrative
Services Manager with a mean hourly
wage of $49.70, plus fringe benefits and
overhead of $49.70, for a total of $99.40.
This wage is based on the May 2017
Occupational Employment Statistics
from the Bureau of Labor Statistics, plus
fringe benefits and overhead, https://
www.bls.gov/oes/current/
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oes113011.htm. It is anticipated that an
Administrative Services Manager would
have the requisite knowledge, access to
information, and decision making
authority related to a bidder’s business
operations necessary to formulate a bid.
We are seeking comments on this
assumption. We estimate, based on
information from previous rounds of
competition, the burden for each bidder
to complete Form A is 8 hours and 21
minutes, and $829.99. This estimate is
based on the time it takes a bidder to
develop their business strategy on
which CBAs and product categories to
bid; obtain their bid surety bond(s);
gather the required documents; and
enter and review their information.
We do not know the exact number of
bidders who would bid in the next
round; however, for purposes of this
estimate, we would assume that the
number of bidders would be roughly the
same as in previous rounds of
competition. We estimate there would
be approximately 1,500 bidders in the
next round and each bidder would
complete Form A once for a total of
12,525 hours and a total cost of
$1,244,985.
Bidders will use Form B to submit
bids for items included in the DMEPOS
CBP. This form would be completed
once for each CBA and product category
combination with an estimated
completion time of 3 hours. Total
completion time assumes the time it
takes a bidder to familiarize itself on
how to complete Form B, develop its
bid amount and enter the applicable
information into Form B. For the next
round, we do not know how many bids
will be submitted; however, for
purposes of this estimate, we would
assume the average bidder would bid in
5 CBAs in 7 product categories for an
average total of 35 Form Bs. We expect
the number of hours to complete Form
B to decrease from previous rounds
based on the removal of the expansion
plan section, as well as the proposed
change in bidding methodology to move
to lead item pricing as described in this
proposed rule. Specifically, the
expansion plan section is being
removed from Form B to reduce the
burden for bidders as we have learned
from past rounds that this information
is no longer necessary. The proposed
change in bidding methodology to move
to lead item pricing would require
bidders to only submit a single bid for
an entire product category, instead of
multiple bids (which can be over 100 for
some product categories). We anticipate
that this form would be completed by
the equivalent of an Administrative
Services Manager with a mean hourly
wage of $49.70, plus fringe benefits and
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34397
overhead of $49.70, for a total of $99.40.
It is anticipated that an Administrative
Services Manager would have the
requisite knowledge, access to
information, and decision making
authority related to a bidder’s business
operations necessary to formulate the
bid. As a result, we estimate it would
require the average bidder 105 hours to
complete all 35 Form Bs with a cost of
$10,437. Assuming 1,500 bidders
participate in the next round of the
DMEPOS CBP, and each bidder
completes 35 Form Bs, there would be
estimated 52,500 Form Bs submitted
taking an estimated 157,500 hours for a
total estimated cost of $15,655,500.
The information collection request
associated with the DMEPOS CBP will
be revised and submitted to OMB under
control number 0938–1016. These
requirements are not effective until
approved by OMB.
XV. Response to Comments
Because of the large number of public
comments we normally receive on
Federal Register documents, we are not
able to acknowledge or respond to them
individually. We will consider all
comments we receive by the date and
time specified in the DATES section of
this preamble, and, when we proceed
with a subsequent document, we will
respond to the comments in the
preamble to that document.
XVI. Economic Analyses
A. Regulatory Impact Analysis
1. Introduction
We have examined the impacts of this
rule as required by Executive Order
12866 on Regulatory Planning and
Review (September 30, 1993), Executive
Order 13563 on Improving Regulation
and Regulatory Review (January 18,
2011), the Regulatory Flexibility Act
(RFA) (September 19, 1980, Pub. L. 96
354), section 1102(b) of the Social
Security 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), the Congressional
Review Act (5 U.S.C. 804(2) and
Executive Order 13771 on Reducing
Regulation and Controlling Regulatory
Costs (January 30, 2017).
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). Section 3(f) of Executive Order
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12866 defines a ‘‘significant regulatory
action’’ as an action that is likely to
result in a rule: (1) Having an annual
effect on the economy of $100 million
or more in any 1 year, or adversely and
materially affecting a sector of the
economy, productivity, competition,
jobs, the environment, public health or
safety, or state, local or tribal
governments or communities (also
referred to as ‘‘economically
significant’’); (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 novel legal or
policy issues arising out of legal
mandates, the President’s priorities, or
the principles set forth in the Executive
Order.
A regulatory impact analysis (RIA)
must be prepared for major rules with
economically significant effects ($100
million or more in any 1 year).
We estimate that this rulemaking is
‘‘economically significant’’ as measured
by the $100 million threshold, and
hence also a major rule under the
Congressional Review Act. Accordingly,
we have prepared a RIA that to the best
of our ability presents the costs and
benefits of the rulemaking.
We solicit comments on the
regulatory impact analysis provided.
2. Statement of Need
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a. ESRD PPS
This rule proposes a number of
routine updates and several policy
changes to the ESRD PPS in CY 2019.
The proposed routine updates include
the CY 2019 wage index values, the
wage index budget-neutrality
adjustment factor, and outlier payment
threshold amounts. Failure to publish
this proposed rule would result in ESRD
facilities not receiving appropriate
payments in CY 2019 for renal dialysis
services furnished to ESRD patients.
b. AKI
This rule also proposes routine
updates to the payment for renal
dialysis services furnished by ESRD
facilities to individuals with AKI.
Failure to publish this proposed rule
would result in ESRD facilities not
receiving appropriate payments in CY
2019 for renal dialysis services
furnished to patients with AKI in
accordance with section 1834(r) of the
Act.
c. ESRD QIP
This rule proposes to implement
requirements for the ESRD QIP,
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including a proposal to adopt two new
measures beginning with PY 2022 and
a proposal to adopt a new measure
beginning with PY 2024. Failure to
propose requirements for the PY 2022
ESRD QIP would prevent continuation
of the ESRD QIP beyond PY 2021. In
addition, proposing requirements for the
PY 2022 ESRD QIP provides facilities
with more time to review and fully
understand new measures before their
implementation in the ESRD QIP.
d. DMEPOS
i. Changes to the Durable Medical
Equipment, Prosthetics, Orthotics, and
Supplies (DMEPOS) Competitive
Bidding Program (CBP)
The proposed revisions include
implementation of lead item pricing and
determination of SPAs based on
maximum winning bids submitted for a
lead item in each product category. This
rule also proposes to revise the
definitions of ‘‘bid’’ and ‘‘composite
bid’’ and establish a new definition for
‘‘lead item.’’
ii. Adjustments to DMEPOS Fee
Schedule Amounts Based on
Information From the DMEPOS CBP
We are proposing to revise
§ 414.210(g)(9) so that for items and
services furnished in rural or noncontiguous areas with dates of service
from January 1, 2019 through December
31, 2020, under part 414, subpart D the
fee schedule amount for the area is
equal to 50 percent of the adjusted
payment amount established under this
section and 50 percent of the unadjusted
fee schedule amount. We are proposing
to revise § 414.210(g)(9) so that for items
and services furnished in non-CBAs that
are not rural or non-contiguous areas
with dates of service from January 1,
2019 through December 31, 2020, under
part 414, subpart D the fee schedule
amount for the area is equal to 100
percent of the adjusted payment amount
established under this section.
We then propose to create a new
paragraph (10) under § 414.210(g) titled,
‘‘Payment Adjustments for Items and
Services Furnished in Former
Competitive Bidding Areas During
Temporary Gaps in the DMEPOS
Competitive Bidding Program’’ which
has the following text underneath:
‘‘During a temporary gap in the entire
DMEPOS CBP and/or National Mail
Order CBP, the fee schedule amounts for
items and services that were
competitively bid and furnished in areas
that were competitive bidding areas at
the time the program(s) was in effect are
adjusted based on the SPAs in effect in
the competitive bidding areas on the last
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day before the CBP contract period of
performance ended, increased by the
projected percentage change in the
Consumer Price Index for all Urban
Consumers (CPI–U) for the 12-month
period ending on the date after the
contract periods ended. If the gap in the
CBP lasts for more than 12 months, the
fee schedule amounts are increased
once every 12 months on the
anniversary date of the first day of the
gap period based on the projected
percentage change in the CPI–U for the
12-month period ending on the
anniversary date.’’
iii. New Payment Classes for Oxygen
and Oxygen Equipment and
Methodology for Ensuring Annual
Budget Neutrality of the New Classes
This proposed rule would amend our
regulations at § 414.226 by revising the
payment rules for oxygen and oxygen
equipment and adding a new paragraph
after paragraph (c) that establishes some
new oxygen and oxygen equipment
payment classes effective January 1,
2019. Instead of having one class for
portable oxygen equipment only
(gaseous and liquid tanks), we propose
establishing two classes for portable
oxygen equipment: (1) One class for
portable oxygen equipment (gaseous
tanks) and (2) another class for portable
oxygen equipment (liquid tanks.) We are
also proposing to add a class for liquid
oxygen contents for prescribed flow
rates greater than four liters per minute
and used with portable equipment. We
are also proposing a new budget
neutrality offset to ensure the budget
neutrality of all oxygen and oxygen
equipment classes added after 2006.
iv. Payment for Multi-Function
Ventilators
We are proposing to add a payment
rule to § 414.222(f) for multi-function
ventilators that would establish
payment in accordance with section
1834(a)(3) of the Act for ventilators that
also perform the functions of other
items of durable medical equipment
subject to payment rules under
paragraphs (2), (5), and (7) of section
1834(a) of the Act.
v. Including the Northern Mariana
Islands in Future National Mail Order
CBPs
We propose to amend § 414.210(g)(7)
to say that beginning on or after the date
that the Northern Mariana Islands are
included under a national mail order
competitive bidding program, the fee
schedule adjustment methodology
under this paragraph would no longer
apply.
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3. Overall Impact
a. ESRD PPS
We estimate that the proposed
revisions to the ESRD PPS would result
in an increase of approximately $220
million in payments to ESRD facilities
in CY 2019, which includes the amount
associated with updates to the outlier
thresholds, and updates to the wage
index.
b. AKI
We are estimating approximately
$37.0 million that would now be paid
to ESRD facilities for dialysis treatments
provided to AKI beneficiaries.
c. ESRD QIP
For PY 2021, we have re-estimated the
costs associated with information
collection requirements under the
Program with updated wage estimates,
facility counts, and patient counts, as
well as the proposed policy changes
described earlier in the preamble of this
proposed rule, including the proposed
measure removals. We also re-estimated
the payment reductions under the ESRD
QIP in accordance with the proposed
policy changes described earlier,
including the proposed domain
restructuring and reweighting. We
estimate that these updates would result
in an overall impact of $219 million
associated with quality reporting burden
and payment reductions, which
includes a $12 million incremental
reduction in burden in collection of
information requirements and $38
million in estimated payment
reductions across all facilities.
For PY 2022, we estimate that the
proposed revisions to the ESRD QIP
would result in an increase in overall
impact to $240 million, which includes
a $21 million incremental increase
associated with the proposed collection
of information requirements and $38
million in estimated payment
reductions across all facilities.
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d. DMEPOS
i. Changes to the Durable Medical
Equipment, Prosthetics, Orthotics, and
Supplies (DMEPOS) Competitive
Bidding Program (CBP)
This proposed rule with comment
period, which proposes to base single
payment amounts on the maximum
winning bid and to implement lead item
pricing in the Medicare DMEPOS CBP,
(which we expect could potentially be
delayed until January 1, 2021) has
impacts estimated by rounding to the
nearer 5 million dollars and is expected
to cost $10 million in Medicare benefit
payments and roughly $3 million in
Medicare beneficiary cost sharing for
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the 5-year period beginning January 1,
2019 and ending September 30, 2023.
The Medicaid impacts for cost sharing
for the dual eligibles for the federal and
state portions are assumed to be $0
million.
ii. Adjustments to DMEPOS Fee
Schedule Amounts Based on
Information From the DMEPOS CBP
This rule proposes transitional fee
schedule adjustments for DMEPOS
items and services furnished on or after
January 1, 2019 in areas that are
currently CBAs and in areas that are
currently not CBAs. Altogether, this rule
proposes three different fee schedule
adjustment methodologies depending
on the area in which the items and
services are furnished: (1) One fee
schedule adjustment methodology for
DME items and services furnished on or
after January 1, 2019, in areas that are
currently CBAs, in the event of a gap in
the CBP; (2) another fee schedule
adjustment methodology for items and
services furnished from January 1, 2019,
through December 31, 2020, in areas
that are currently not CBAs, are not
rural areas, and are located in the
contiguous United States (U.S.); and (3)
another fee schedule adjustment
methodology for items and services
furnished from January 1, 2019, through
December 31, 2020, in areas that are
currently not CBAs and are either rural
areas or non-contiguous areas.
The estimated impacts for this part of
the rule are calculated against a baseline
that assumes payments for items
furnished in CBAs and non-CBAs are
done consistent with the rules in place
as of January 1, 2018.
The impacts are expected to cost
$1,050 million in Medicare benefit
payments and $260 million in Medicare
beneficiary cost sharing for the 2-year
period beginning January 1, 2019 and
ending December 31, 2020. The
Medicaid impacts for cost sharing for
the dual eligibles for the federal and
state portions are assumed to be $45
million and $30 million, respectively.
iii. New Payment Classes for Oxygen
and Oxygen Equipment and
Methodology for Ensuring Annual
Budget Neutrality of the New Classes
This proposed rule establishes new
payment classes for oxygen and oxygen
equipment and is estimated to be budget
neutral to the Medicare program and its
beneficiaries.
iv. Payment for Multi-Function
Ventilators
This rule proposes to establish
payment rules for multi-function
ventilators. The impacts are estimated
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34399
by rounding to the nearer 5 million
dollars and are expected to cost $15
million in Medicare benefit payments
and $0 million in Medicare beneficiary
cost sharing for the 5-year period
beginning January 1, 2019 and ending
September 30, 2023. The Medicaid
impacts for cost sharing for the
beneficiaries enrolled in the Medicare
Part B and Medicaid programs for the
federal and state portions are assumed
to both be $0 million.
v. Including the Northern Mariana
Islands in Future National Mail Order
CBPs
This change would not have a fiscal
impact.
4. Regulatory Review Cost Estimation
If regulations impose administrative
costs on private entities, such as the
time needed to read and interpret this
proposed rule, we should estimate the
cost associated with 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 last year’s proposed rule
will be the number of reviewers of this
proposed rule. We acknowledge that
this assumption may understate or
overstate the costs of reviewing this
rule. It is possible that not all
commenters reviewed last year’s 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 past
commenters would be a fair estimate of
the number of reviewers of this rule. We
welcome any comments on the
approach in estimating the number of
entities which will review this proposed
rule.
We also recognize that different types
of entities are in many cases affected by
mutually exclusive sections of this
proposed rule, and therefore for the
purposes of our estimate we assume that
each reviewer reads approximately 50
percent of the rule. We seek comments
on this assumption.
Using the wage information from the
BLS (https://www.bls.gov/oes/2017/
may/naics4_621100.htm) for medical
and health service managers (Code 11–
9111), we estimate that the cost of
reviewing this rule is $110.00 per hour,
including overhead and fringe benefits.
Assuming an average reading speed, we
estimate that it would take
approximately 6.25 hours for the staff to
review half of this proposed rule. For
each ESRD facility that reviews the rule,
the estimated cost is $687.50 (6.25 hours
× $110.00). Therefore, we estimate that
the total cost of reviewing this
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regulation rounds to $39,875. ($687.50 ×
58 reviewers).
For DME suppliers, we calculate a
different cost of reviewing this rule.
Assuming an average reading speed, we
estimate that it would take
approximately 2 hours for the staff to
review this proposed rule. For each
entity that reviews this proposed rule,
the estimated cost is $220.00 (2 hours ×
$110.00). Therefore, we estimate that
the total cost of reviewing this proposed
rule is $143,000 ($220.00 × 650
reviewers).
B. Detailed Economic Analysis
1. CY 2019 End-Stage Renal Disease
Prospective Payment System
a. Effects on ESRD Facilities
To understand the impact of the
changes affecting payments to different
categories of ESRD facilities, it is
necessary to compare estimated
payments in CY 2018 to estimated
payments in CY 2019. To estimate the
impact among various types of ESRD
facilities, it is imperative that the
estimates of payments in CY 2018 and
CY 2019 contain similar inputs.
Therefore, we simulated payments only
for those ESRD facilities for which we
are able to calculate both current
payments and new payments.
For this proposed rule, we used CY
2017 data from the Part A and Part B
Common Working Files, as of February
16, 2018, as a basis for Medicare dialysis
treatments and payments under the
ESRD PPS. We updated the 2017 claims
to 2018 and 2019 using various updates.
The updates to the ESRD PPS base rate
are described in section II.B.3.h of this
proposed rule. Table 58 shows the
impact of the estimated CY 2019 ESRD
payments compared to estimated
payments to ESRD facilities in CY 2018.
TABLE 58—IMPACT OF PROPOSED CHANGES IN PAYMENT TO ESRD FACILITIES FOR CY 2019 1 PROPOSED RULE
A
sradovich on DSK3GMQ082PROD with PROPOSALS2
Facility type
Number of
treatments
(in millions)
B
C
All Facilities ..............................................
Type:
Freestanding .....................................
Hospital based ..................................
Ownership Type:
Large dialysis organization ...............
Regional chain ..................................
Independent ......................................
Hospital based 1 ................................
Unknown ...........................................
Geographic Location:
Rural .................................................
Urban ................................................
Census Region:
East North Central ............................
East South Central ...........................
Middle Atlantic ..................................
Mountain ...........................................
New England ....................................
Pacific 2 .............................................
Puerto Rico and Virgin Islands .........
South Atlantic ....................................
West North Central ...........................
West South Central ..........................
Facility Size:
Less than 4,000 treatments ..............
4,000 to 9,999 treatments ................
10,000 or more treatments ...............
Unknown ...........................................
Percentage of Pediatric Patients:
Less than 2% ....................................
Between 2% and 19% ......................
Between 20% and 49% ....................
More than 50% .................................
Effect of 2019
changes in
wage index,
wage floor,
and laborrelated share
(%)
Effect of 2019
changes in
payment rate
update
(%)
D
Number of
facilities
Effect of 2019
changes in
outlier policy
(%)
Effect of total
2019 proposed
changes
(outlier, wage
index and
floor, laborrelated share,
routine
updates to the
payment rate)
(%)
E
F
7,042
44.5
0.2
0.0
1.5
1.7
6,626
416
42.4
2.1
0.2
0.4
0.0
¥0.1
1.5
1.5
1.7
1.8
5,355
871
479
325
12
34.4
5.7
2.9
1.6
0.0
0.2
0.3
0.2
0.4
0.1
0.0
0.1
0.2
0.0
0.3
1.5
1.5
1.5
1.5
1.5
1.7
1.9
2.0
1.9
1.9
1,263
5,779
6.4
38.1
0.2
0.2
¥0.3
0.0
1.5
1.5
1.4
1.8
1,136
569
769
398
191
837
51
1,612
492
987
6.2
3.3
5.4
2.3
1.5
6.4
0.3
10.4
2.3
6.5
0.2
0.2
0.2
0.2
0.2
0.2
0.1
0.3
0.3
0.2
¥0.4
¥0.7
0.1
¥0.3
¥0.3
1.1
4.5
¥0.3
¥0.3
¥0.1
1.5
1.5
1.5
1.5
1.5
1.5
1.5
1.5
1.5
1.5
1.4
1.1
1.8
1.4
1.4
2.8
6.2
1.5
1.5
1.7
1,689
2,502
2,776
75
5.9
11.8
26.7
0.2
0.2
0.2
0.2
0.4
0.0
¥0.2
0.1
0.3
1.5
1.5
1.5
1.5
1.8
1.6
1.8
2.2
6,938
41
12
51
44.2
0.3
0.0
0.0
0.2
0.3
0.1
0.1
0.0
0.0
¥0.4
0.2
1.5
1.5
1.5
1.5
1.7
1.8
1.3
1.8
l Sensipar and Parsabiv will be paid under the transitional drug add-on payment adjustment for CY 2019. In CY 2016 there was approximately
$840 million in spending for Sensipar under Part D.
2 Includes hospital-based ESRD facilities not reported to have large dialysis organization or regional chain ownership.
3 Includes ESRD facilities located in Guam, American Samoa, and the Northern Mariana Islands.
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Column A of the impact table
indicates the number of ESRD facilities
for each impact category and column B
indicates the number of dialysis
treatments (in millions). The overall
effect of the proposed changes to the
outlier payment policy described in
section II.B.3.g of this proposed rule is
shown in column C. For CY 2019, the
impact on all ESRD facilities as a result
of the changes to the outlier payment
policy would be a 0.2 percent increase
in estimated payments. Nearly all ESRD
facilities are anticipated to experience a
positive effect in their estimated CY
2019 payments as a result of the
proposed outlier policy changes.
Column D shows the effect of the
proposed CY 2019 wage indices and the
wage index floor of 0.50. The categories
of types of facilities in the impact table
show changes in estimated payments
ranging from a ¥0.7 percent to a 4.5
percent increase due to these proposed
updates in the wage indices.
Column E shows the effect of the
proposed CY 2019 ESRD PPS payment
rate update. The proposed ESRD PPS
payment rate update is 1.5 percent,
which reflects the proposed ESRDB
market basket percentage increase factor
for CY 2019 of 2.2 percent and the
proposed MFP adjustment of 0.7
percent.
Column F reflects the overall impact,
that is, the effects of the proposed
outlier policy changes, the proposed
wage index floor, and payment rate
update. We expect that overall ESRD
facilities would experience a 1.7 percent
increase in estimated payments in CY
2019. The categories of types of facilities
in the impact table show impacts
ranging from an increase of 1.1 percent
to 6.2 percent in their CY 2019
estimated payments.
b. Effects on Other Providers
Under the ESRD PPS, Medicare pays
ESRD facilities a single bundled
payment for renal dialysis services,
which may have been separately paid to
other providers (for example,
laboratories, durable medical equipment
suppliers, and pharmacies) by Medicare
prior to the implementation of the ESRD
PPS. Therefore, in CY 2019, we estimate
that the proposed ESRD PPS would
have zero impact on these other
providers.
c. Effects on the Medicare Program
We estimate that Medicare spending
(total Medicare program payments) for
ESRD facilities in CY 2019 would be
approximately $10.6 billion. This
estimate takes into account a projected
increase in fee-for-service Medicare
dialysis beneficiary enrollment of 1.2
percent in CY 2019.
d. Effects on Medicare Beneficiaries
Under the ESRD PPS, beneficiaries are
responsible for paying 20 percent of the
ESRD PPS payment amount. As a result
of the projected 1.7 percent overall
increase in the proposed CY 2019 ESRD
PPS payment amounts, we estimate that
there will be an increase in beneficiary
co-insurance payments of 1.7 percent in
CY 2019, which translates to
approximately $60 million.
e. Alternatives Considered
In section II.B.3.b of this proposed
rule, we proposed changes to the wage
index floor.
We considered maintaining the
existing wage index floor of 0.4000 and
also considered increasing the wage
floor to 0.5500 and 0.5800. However,
based on the analyses we have
conducted, we no longer believe a wage
index floor value of 0.4000 is
appropriate and we are concerned about
the impact a higher floor value would
have on the base rate.
2. Proposed Payment for Renal Dialysis
Services Furnished to Individuals With
AKI
To understand the impact of the
changes affecting payments to different
categories of ESRD facilities for renal
dialysis services furnished to
individuals with AKI, it is necessary to
compare estimated payments in CY
2018 to estimated payments in CY 2019.
To estimate the impact among various
types of ESRD facilities for renal
dialysis services furnished to
individuals with AKI, it is imperative
that the estimates of payments in CY
2018 and CY 2019 contain similar
inputs. Therefore, we simulated
payments only for those ESRD facilities
for which we are able to calculate both
current payments and new payments.
For this proposed rule, we used CY
2017 data from the Part A and Part B
Common Working Files, as of February
16, 2018, as a basis for Medicare for
renal dialysis services furnished to
individuals with AKI. We updated the
2017 claims to 2018 and 2019 using
various updates. The updates to the AKI
payment amount are described in
section III.B of this proposed rule. Table
59 shows the impact of the estimated
CY 2019 payments for renal dialysis
services furnished to individuals with
AKI compared to estimated payments
for renal dialysis services furnished to
individuals with AKI in CY 2018.
TABLE 59—IMPACT OF PROPOSED CHANGES IN PAYMENT FOR RENAL DIALYSIS SERVICES FURNISHED TO INDIVIDUALS
WITH AKI FOR CY 2019 PROPOSED RULE
Number of
facilities
(A)
sradovich on DSK3GMQ082PROD with PROPOSALS2
Facility type
All Facilities ..........................................................................
Type
Freestanding .................................................................
Hospital based ..............................................................
Ownership Type
Large dialysis organization ...........................................
Regional chain ..............................................................
Independent ..................................................................
Hospital based 1 ............................................................
Unknown .......................................................................
Geographic Location
Rural .............................................................................
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Number of
treatments
(in thousands)
Effect of
2019 changes
in wage
index, wage
floor, and
labor-related
share
(%)
(B)
(C)
Effect of
2019 changes
in payment
rate update
(%)
Effect of
total 2019
proposed
changes
(%)
(D)
(E)
3,861
156.9
0.0
1.5
1.5
3,775
86
153.7
3.2
0.0
¥0.1
1.5
1.5
1.5
1.4
3,269
416
119
55
2
134.8
15.1
4.5
2.5
0.0
0.0
0.0
0.1
0.0
¥0.3
1.5
1.5
1.5
1.5
1.5
1.5
1.5
1.6
1.5
1.2
691
25.7
¥0.2
1.5
1.3
Fmt 4701
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TABLE 59—IMPACT OF PROPOSED CHANGES IN PAYMENT FOR RENAL DIALYSIS SERVICES FURNISHED TO INDIVIDUALS
WITH AKI FOR CY 2019 PROPOSED RULE—Continued
Number of
facilities
(A)
Facility type
sradovich on DSK3GMQ082PROD with PROPOSALS2
Urban ............................................................................
Census Region
East North Central ........................................................
East South Central .......................................................
Middle Atlantic ..............................................................
Mountain .......................................................................
New England ................................................................
Pacific 2 .........................................................................
Puerto Rico and Virgin Islands .....................................
South Atlantic ................................................................
West North Central .......................................................
West South Central ......................................................
Facility Size
Less than 4,000 treatments ..........................................
4,000 to 9,999 treatments ............................................
10,000 or more treatments ...........................................
Unknown .......................................................................
Percentage of Pediatric Patients
Less than 2% ................................................................
Between 2% and 19% ..................................................
Between 20% and 49% ................................................
More than 50% .............................................................
Column A of the impact table
indicates the number of ESRD facilities
for each impact category and column B
indicates the number of AKI dialysis
treatments (in thousands).
Column C shows the effect of the
proposed CY 2019 wage indices and the
wage index floor of 0.50. The categories
of types of facilities in the impact table
show changes in estimated payments of
a 1.5 percent increase due to these
proposed updates in the wage indices.
Column D shows the effect of the
proposed CY 2019 ESRD PPS payment
rate update. The proposed ESRD PPS
payment rate update is 1.5 percent,
which reflects the proposed ESRDB
market basket percentage increase factor
for CY 2019 of 2.2 percent and the MFP
adjustment of 0.7 percent.
Column E reflects the overall impact,
that is, the effects of the proposed wage
index floor and payment rate update.
We expect that overall ESRD facilities
would experience a 1.5 percent increase
in estimated payments in CY 2019. The
categories of types of facilities in the
impact table show impacts ranging from
an increase of 0.0 percent to 7.6 percent
in their CY 2019 estimated payments.
b. Effects on Other Providers
Under section 1834(r) of the Act, as
added by section 808(b) of TPEA, we are
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Number of
treatments
(in thousands)
Effect of
2019 changes
in wage
index, wage
floor, and
labor-related
share
(%)
(B)
(C)
(D)
(E)
131.2
0.1
1.5
1.6
706
310
401
244
123
482
2
872
251
470
29.9
10.5
16.5
11.0
4.7
27.0
0.0
34.1
7.7
15.6
¥0.3
¥0.6
0.0
¥0.2
¥0.4
1.1
6.0
¥0.3
¥0.2
¥0.2
1.5
1.5
1.5
1.5
1.5
1.5
1.5
1.5
1.5
1.5
1.2
0.9
1.5
1.3
1.1
2.7
7.6
1.2
1.3
1.3
720
1,403
1,716
22
25.5
51.4
79.1
1.0
0.2
¥0.2
0.1
0.3
1.5
1.5
1.5
1.5
1.7
1.3
1.6
1.8
3,860
1
0
0
156.7
0.2
0.0
0.0
0.0
0.6
0.0
0.0
1.5
1.5
0.0
0.0
1.5
2.1
0.0
0.0
c. Effects on the Medicare Program
We estimate approximately $30.0
million would be paid to ESRD facilities
in CY 2019 as a result of AKI patients
receiving renal dialysis services in the
ESRD facility at the lower ESRD PPS
base rate versus receiving those services
only in the hospital outpatient setting
and paid under the outpatient
prospective payment system, where
services were required to be
administered prior to the TPEA.
d. Effects on Medicare Beneficiaries
Currently, beneficiaries have a 20
percent co-insurance obligation when
they receive AKI dialysis in the hospital
outpatient setting. When these services
are furnished in an ESRD facility, the
patients would continue to be
Frm 00100
Effect of
total 2019
proposed
changes
(%)
3,170
proposing to update the payment rate
for renal dialysis services furnished by
ESRD facilities to beneficiaries with
AKI. The only two Medicare providers
authorized to provide these outpatient
renal dialysis services are hospital
outpatient departments and ESRD
facilities. The decision about where the
renal dialysis services are furnished is
made by the patient and his or her
physician. Therefore, this proposal will
have zero impact on other Medicare
providers.
PO 00000
Effect of
2019 changes
in payment
rate update
(%)
Fmt 4701
Sfmt 4702
responsible for a 20 percent coinsurance. Because the AKI dialysis
payment rate paid to ESRD facilities is
lower than the outpatient hospital PPS’s
payment amount, we would expect
beneficiaries to pay less co-insurance
when AKI dialysis is furnished by ESRD
facilities.
e. Alternatives Considered
As we discussed in the CY 2017 ESRD
PPS proposed rule (81 FR 42870), we
considered adjusting the AKI payment
rate by including the ESRD PPS casemix adjustments, and other adjustments
at section 1881(b)(14)(D) of the Act, as
well as not paying separately for AKI
specific drugs and laboratory tests. We
ultimately determined that treatment for
AKI is substantially different from
treatment for ESRD and the case-mix
adjustments applied to ESRD patients
may not be applicable to AKI patients
and as such, including those policies
and adjustment would be inappropriate.
We continue to monitor utilization and
trends of items and services furnished to
individuals with AKI for purposes of
refining the payment rate in the future.
This monitoring would assist us in
developing knowledgeable, data-driven
proposals.
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section IV.C of this proposed rule. Any
reductions in ESRD PPS payments as a
result of a facility’s performance under
the PY 2022 ESRD QIP would apply to
ESRD PPS payments made to the facility
for services furnished in CY 2022.
For the PY 2022 ESRD QIP, we
estimate that, of the 6,814 dialysis
facilities (including those not receiving
a TPS) enrolled in Medicare,
approximately 44.31 percent or 2,896 of
3. ESRD QIP
a. Effects of the PY 2022 ESRD QIP on
ESRD Facilities
The ESRD QIP provisions are
intended to prevent possible reductions
in the quality of ESRD dialysis facility
services provided to beneficiaries. The
methodology that we are proposing to
use to determine a facility’s TPS for the
PY 2022 ESRD QIP is described in
the facilities would receive a payment
reduction for PY 2022. The total
payment reduction for all of the 2,896
facilities expected to receive a reduction
is approximately $38,114,871.88.
Facilities that do not receive a TPS do
not receive a payment reduction.
Table 60 shows the overall estimated
distribution of payment reductions
resulting from the PY 2022 ESRD QIP.
TABLE 60—ESTIMATED DISTRIBUTION OF PY 2022 ESRD QIP PAYMENT REDUCTIONS
Number of
facilities
Payment reduction
0.0%
0.5%
1.0%
1.5%
2.0%
.........................................................................................................................................................................
.........................................................................................................................................................................
.........................................................................................................................................................................
.........................................................................................................................................................................
.........................................................................................................................................................................
Percent of
facilities
3,639
1,351
923
437
185
55.68
20.67
14.12
6.69
2.83
Note: This table excludes 279 facilities that we estimate will not receive a payment reduction because they will not report enough data to receive a TPS.
To estimate whether a facility would
receive a payment reduction in PY 2022,
we scored each facility on achievement
and improvement on several measures
we have previously finalized and for
which there were available data from
CROWNWeb and Medicare claims.
Measures used for the simulation are
shown in Table 61.
TABLE 61—DATA USED TO ESTIMATE PY 2022 ESRD QIP PAYMENT REDUCTIONS
Period of time used to calculate achievement thresholds,
performance standards, benchmarks, and improvement
thresholds
Measure
sradovich on DSK3GMQ082PROD with PROPOSALS2
VAT:
Standardized Fistula Rate ...........................................
Long Term Catheter Rate ...........................................
Kt/V Dialysis Adequacy Comprehensive ............................
Hypercalcemia ....................................................................
STrR ...................................................................................
ICH CAHPS Survey ............................................................
SRR ....................................................................................
NHSN BSI ...........................................................................
SHR ....................................................................................
For all measures except STrR and
SHR, clinical measure topic areas with
less than 11 cases for a facility were not
included in that facility’s TPS. For SHR
and STrR, facilities were required to
have at least 5 and 10 patient-years at
risk, respectively, in order to be
included in the facility’s TPS. Each
facility’s TPS was compared to an
estimated minimum TPS and an
estimated payment reduction table that
were consistent with the proposals
outlined in section IV.B.3.b of this
proposed rule. Facility reporting
measure scores were estimated using
available data from CY 2015 and 2016.
Facilities were required to have a score
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Jan
Jan
Jan
Jan
Jan
Jan
Jan
Jan
Jan
2015–Dec
2015–Dec
2015–Dec
2015–Dec
2015–Dec
2015–Dec
2015–Dec
2015–Dec
2015–Dec
2015
2015
2015
2015
2015
2015
2015
2015
2015
...........................................................
...........................................................
...........................................................
...........................................................
...........................................................
...........................................................
...........................................................
...........................................................
...........................................................
on at least one clinical measure to
receive a TPS.
To estimate the total payment
reductions in PY 2022 for each facility
resulting from this proposed rule, we
multiplied the total Medicare payments
to the facility during the 1-year period
between January 2016 and December
2016 by the facility’s estimated payment
reduction percentage expected under
the ESRD QIP, yielding a total payment
reduction amount for each facility: Total
ESRD payment in January 2016 through
December 2016 times the estimated
payment reduction percentage.
Table 62 shows the estimated impact
of the finalized ESRD QIP payment
PO 00000
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Fmt 4701
Sfmt 4702
Performance period
Jan
Jan
Jan
Jan
Jan
Jan
Jan
Jan
Jan
2016–Dec
2016–Dec
2016–Dec
2016–Dec
2016–Dec
2016–Dec
2016–Dec
2016–Dec
2016–Dec
2016.
2016.
2016.
2016.
2016.
2016.
2016.
2016.
2016.
reductions to all ESRD facilities for PY
2022. The table details the distribution
of ESRD facilities by facility size (both
among facilities considered to be small
entities and by number of treatments per
facility), geography (both urban/rural
and by region), and by facility type
(hospital based/freestanding facilities).
Given that the performance periods
used for these calculations will differ
from those we propose to use for the PY
2022 ESRD QIP, the actual impact of the
PY 2022 ESRD QIP may vary
significantly from the values provided
here.
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TABLE 62—IMPACT OF PROPOSED QIP PAYMENT REDUCTIONS TO ESRD FACILITIES FOR PY 2022
Number of
facilities
All Facilities ...................................................................
Facility Type:
Freestanding .................................................................
Hospital-based ..............................................................
Ownership Type:
Large Dialysis ...............................................................
Regional Chain .............................................................
Independent ..................................................................
Hospital-based (non-chain) ...........................................
Unknown .......................................................................
Facility Size:
Large Entities ................................................................
Small Entities 1 ..............................................................
Unknown .......................................................................
Rural Status:
(1) Yes ..........................................................................
(2) No ............................................................................
Census Region:
Northeast ......................................................................
Midwest .........................................................................
South .............................................................................
West ..............................................................................
U.S. Territories 2 ...........................................................
Census Division:
Unknown .......................................................................
East North Central ........................................................
East South Central .......................................................
Middle Atlantic ..............................................................
Mountain .......................................................................
New England ................................................................
Pacific ...........................................................................
South Atlantic ................................................................
West North Central .......................................................
West South Central ......................................................
U.S. Territories 2 ...........................................................
Facility Size (number of total treatments):
Less than 4,000 treatments ..........................................
4,000–9,999 treatments ................................................
Over 10,000 treatments ................................................
Unknown .......................................................................
1 Small
Number of
treatments
2016
(in millions)
Number of
facilities
with QIP
score
Number of
facilities
expected
to receive a
payment
reduction
Payment
reduction
(percent
change
in total ESRD
payments)
6,814
45.1
6,535
2,896
¥0.40
6,383
431
42.7
2.4
6,149
386
2,740
156
¥0.40
¥0.39
5,110
871
487
341
5
34.3
5.8
3.1
1.8
0.0
4,945
841
448
301
0
2,131
341
291
133
0
¥0.37
¥0.36
¥0.69
¥0.44
........................
5,981
828
5
40.1
5.0
0.0
5,786
749
0
2,472
424
0
¥0.37
¥0.59
........................
1,243
5,571
6.5
38.6
1,212
5,323
380
2,516
¥0.25
¥0.43
933
1,593
3,048
1,183
57
7.0
8.6
20.4
8.6
0.4
894
1,504
2,929
1,151
57
462
538
1,463
389
44
¥0.48
¥0.30
¥0.45
¥0.28
¥0.99
7
1,109
551
742
382
191
801
1,572
484
925
50
0.1
6.4
3.4
5.5
2.2
1.5
6.3
10.5
2.3
6.5
0.4
7
1,037
534
710
370
184
781
1,498
467
897
50
4
403
244
390
82
72
307
774
135
445
40
¥0.57
¥0.34
¥0.41
¥0.52
¥0.17
¥0.30
¥0.34
¥0.47
¥0.22
¥0.45
¥1.05
1,127
2,514
3,007
166
2.0
11.6
30.6
0.9
900
2,502
3,007
126
301
978
1,558
59
¥0.33
¥0.35
¥0.45
¥0.50
Entities include hospital-based and satellite facilities, and non-chain facilities based on DFC self-reported status.
American Samoa, Guam, Northern Mariana Islands, Puerto Rico, and Virgin Islands.
2 Includes
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b. Effects on Other Providers
The ESRD QIP is applicable to
dialysis facilities. We are aware that
several of our measures impact other
providers. For example, with the
introduction of the SRR clinical
measure in PY 2017 and the SHR
clinical measure in PY 2020, we
anticipate that hospitals may experience
financial savings as dialysis facilities
work to reduce the number of
unplanned readmissions and
hospitalizations. We are exploring
various methods to assess the impact
these measures have on hospitals and
other outpatient facilities, such as
through the impacts of the Hospital
Readmissions Reduction Program and
the Hospital-Acquired Conditions
Reduction Program, and we intend to
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continue examining the interactions
between our quality programs to the
greatest extent feasible.
TABLE 63—ESTIMATED PAYMENT REDUCTIONS PAYMENT YEAR 2017
THROUGH 2022—Continued
c. Effects on the Medicare Program
Payment year
For PY 2022, we estimate that ESRD
QIP would contribute approximately
$38,114,872 in Medicare savings. For
comparison, Table 63 shows the
payment reductions that we estimate
will be achieved by the ESRD QIP from
PY 2017 through PY 2022.
TABLE 63—ESTIMATED PAYMENT REDUCTIONS PAYMENT YEAR 2017
THROUGH 2022
Payment year
PY 2022 .........
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Estimated payment reductions
(citation)
$38,114,872.
Fmt 4701
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PY
PY
PY
PY
PY
2021
2020
2019
2018
2017
.........
.........
.........
.........
.........
Estimated payment reductions
(citation)
$37,872,521.
$31,581,441 (81
$15,470,309 (80
$11,576,214 (79
$11,954,631 (79
FR
FR
FR
FR
77960).
69074).
66257).
66255).
Additionally, we estimate that the
proposed removal of four reporting
measures beginning with PY 2021
would reduce the information collection
burden by $12 million.
d. Effects on Medicare Beneficiaries
The ESRD QIP is applicable to
dialysis facilities. Since the Program’s
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sradovich on DSK3GMQ082PROD with PROPOSALS2
inception, there is evidence of improved
performance on ESRD QIP measures. As
we stated in the CY 2018 ESRD PPS
final rule, one objective measure we can
examine to demonstrate the improved
quality of care over time is the
improvement of performance standards
(82 FR 50795). As the ESRD QIP has
refined its measure set and as facilities
have gained experience with the
measures included in the Program,
performance standards have generally
continued to rise. We view this as
evidence that facility performance (and
therefore the quality of care provided to
Medicare beneficiaries) is objectively
improving. To date we have been unable
to examine the impact of the ESRD QIP
on Medicare beneficiaries including the
financial impact of the Program or the
impact on the health outcomes of
beneficiaries. However, in future years
we are interested in examining these
impacts through the addition of new
measures to the Program and through
the analysis of available data from our
existing measures.
Additionally, in this proposed rule,
we are proposing changes to the ESRD
QIP to reflect the Meaningful Measures
Initiative’s priorities, including focusing
our quality measure set on more
outcome-oriented, less burdensome
quality measures. We believe that the
changes we are proposing, which
include a reduced information
collection burden of $12 million for PY
2021, will help focus the Program’s
measurements on the most clinically
appropriate topics while ensuring that
facilities are not unduly burdened by
quality reporting requirements.
e. Alternatives Considered
As discussed in section IV.B.3.b of
this proposed rule, we considered two
alternatives for reassigning measure
weights in situations where a facility
does not receive a score on at least one
measure but is still eligible to receive a
TPS score: (1) Redistribute the weight of
missing measures evenly across the
remaining measures (that is, we would
divide up the missing measure’s weight
equally across the remaining measures),
and (2) redistribute the weight of
missing measures proportionately across
the remaining measures, based on their
weight as a percentage of TPS (that is,
when dividing up a missing measure’s
weight, we would shift a larger share of
that weight to measures with a higher
assigned weight; measures with a lower
weight would gain a smaller portion of
the missing measure’s weight).
While the first policy alternative is
administratively simpler to implement,
we rejected this option because it would
not maintain the Meaningful Measure
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Initiative priorities in the measure
weights as effectively as the second
policy alternative. In section IV.B.3 of
this proposed rule, we propose an
approach for reweighting the domains
and measures in the ESRD QIP in PY
2021 based on the priorities identified
in the Meaningful Measures Initiative.
For example, we propose to assign a
higher weight to measures that focus on
outcomes and a lower weight to
measures that focus on clinical
processes. If we adopted the first policy
alternative, measures that we consider a
lower priority would represent a much
larger share of TPS relative to measures
that we consider a higher priority, in
situations where a facility is missing
one or more measure scores. Under the
second policy alternative, when a
facility is not scored on a measure, the
weight of lower priority measures
relative to higher priority measures
would be more consistent with the
weights assigned to the complete
measure set. For example, if a facility
was ineligible to receive a score on all
the measures in both the Clinical Care
Measure Domain and the Safety
Measure Domain in PY 2022, the weight
of the Clinical Depression and FollowUp Measure—the lowest weight
remaining in the measure set would
increase from 2.5 percent of the TPS to
13.5 percent of the TPS under the first
policy alternative and would increase
from 2.5 percent of the TPS to 5.6
percent of the TPS under the second
policy alternative. Under the same
scenario, the weight of the ICH CAHPS
measure—the highest weight remaining
in the measure set would increase from
15 percent to 26 percent under the first
policy alternative and would increase
from 15 percent to 33.33 percent under
the second policy alternative.
4. DMEPOS
a. Changes to the Durable Medical
Equipment, Prosthetics, Orthotics, and
Supplies (DMEPOS) Competitive
Bidding Program (CBP)
i. Effects on Other Providers
We believe that using the maximum
winning bid amount and lead item
pricing to establish the SPAs and paying
most contract suppliers more than they
bid helps to ensure beneficiary access to
DMEPOS and long term sustainability of
the CBP. This methodology has the
advantage of being easily understood by
bidding suppliers. Further, lead item
pricing simplifies the supplier’s bidding
process. We anticipate that more
suppliers would compete given the
simpler rules and the fact that all
winning bidders would be paid at least
as much as they bid. Therefore, we
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believe that this proposal would have a
positive economic impact on bidding
suppliers.
ii. Effects on the Medicare Program
This proposed rule, which proposes
to base single payment amounts on the
maximum winning bid and to
implement lead item pricing in the
Medicare DMEPOS CBP, is estimated by
rounding to the nearer 5 million dollars
and is expected to cost $10 million in
Medicare benefit payments for the 5year period beginning January 1, 2019
and ending September 30, 2023. The
estimate uses the current baseline which
bases the SPAs on the median of
winning bids. The cost of the proposal
is the sum of yearly impacts. Each year’s
impact is the product of the projected
spending on items subject to
competitive bidding furnished in former
CBAs for that year multiplied by the
percentage increase in aggregate
spending due to the change in the
payment rules, in this case 0.2 percent.
In considering a future in which the
current regulations remain in place (the
regulatory baseline), we note that over
the long run, a potential supplier would
be motivated to continue bidding if its
expenses are below its expectation for
the median of the winning bids. As
such, this long run—in which suppliers
have learned the likely bidding
outcomes—could result in no contracts
or payments at SPA levels set too low
to ensure access. In this scenario,
bidders might have minimal incentive
to change their bidding behavior based
upon a policy switch from median to
maximum winning bid to determine
SPAs. After all, the baseline pricing
method would award contracts to the
suppliers with bids below the median at
prices that at least cover their
production costs. Additionally, it is
possible that the behavioral response of
bidders who, knowing that the SPA
would be set based on the maximum
winning bid, would respond by bidding
more competitively in a CBP round
where the payment is determined based
on the maximum winning bid. The
trade-off between setting the SPA using
the maximum winning bid and the fact
that bids are more competitive, hence
lowering costs, tend to balance one
another out so that the resulting SPAs
would be expected to be similar to the
SPAs set using median bid. This tradeoff is termed Revenue Equivalency with
the expected result being that bidders
would respond in a manner that would
mitigate the SPA determination
methodology change to maximum
winning bid. In other words, a relatively
low impact, such as that presented in
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this section, could be reasonable
considering Revenue Equivalency.
As noted earlier in the preamble,
median bid levels have trended lower
with each successive round of
competition. To the extent that factors
impacting the competition are still
developing, the impacts of this policy
proposal may be underestimated. We
request comment that would allow for
refinement of the impact estimate for
the final rule. We also seek comment
and information on how much DMEPOS
production costs change from year to
year; whether the changes likely to be
common across suppliers, or at least
well known amongst them. We would
also seek comment and information on
the duration of time the bidding process
requires to reach steady participation so
that payment outcomes occur due to the
implementation of new policies for the
subsequent rounds of CBP (such as the
surety bond policy that was part of the
2016 ESRD PPS final rule).
sradovich on DSK3GMQ082PROD with PROPOSALS2
iii. Effects on Medicare Beneficiaries
This proposed rule would base single
payment amounts on the maximum
winning bid and implement lead item
pricing in the Medicare DMEPOS CBP.
The effects are estimated by rounding to
the nearer 5 million dollars and to cost
roughly $3 million in Medicare
beneficiary cost sharing for the 5-year
period beginning January 1, 2019 and
ending September 30, 2023. The
Medicaid impacts for cost sharing for
the dual eligibles for the federal and
state portions are assumed to be $0
million. Section 503 of the Consolidated
Appropriations Act of 2016 and section
5002 of the Cures Act, added section
1903(i)(27) to the Act, which prohibits
federal Medicaid reimbursement to
states for certain DME expenditures that
are, in the aggregate, in excess of what
Medicare would have paid for such
items. The requirement took effect
January 1, 2018. Many states have
started limiting payment for DME based
on the Medicare rates, but the majority
of the states do not currently have the
ability to use rates that apply to only
parts of the state, such as rates paid in
CBAs or rural areas of the state.
iv. Alternatives Considered
One alternative we considered was to
continue the Medicare DMEPOS CBP
with no changes. This would have no
economic impact on the Medicare
program or its beneficiaries.
Another alternative is to implement
lead item pricing based on maximum
winning bids as proposed, but offer
contracts based on overall demand for
items and services and unadjusted
supplier capacity. We believe that
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currently more contracts are offered
under the program than are needed to
meet overall demand for items and
services, so this is potentially an option
we could consider. For example, we
currently limit a supplier’s capacity to
20 percent of projected demand. We
could eliminate this limit which could
result in less winning contracts being
offered. However, the risk is that the
number of contract suppliers could be
reduced too much and could lead to
access problems.
b. Adjustments to DMEPOS Fee
Schedule Amounts Based on
Information From the DMEPOS CBP
In the event of a gap in the CBP
beginning January 1, 2019, any enrolled
supplier can furnish the items currently
subject to competitive bidding in former
CBAs and non-CBAs. The suppliers
furnishing items in former CBAs would
be paid slightly more than the current
SPAs based on the median of winning
bids because the proposed fee schedule
adjustment methodology for items and
services furnished in former CBAs
would adjust the fee schedule amounts
for such items and services based on the
current SPAs plus a CPI–U update. We
understand this proposal to be
consistent with the requirements of
section 1834(a)(1)(F) of the Act. The
suppliers furnishing items in non-CBAs
would be paid based on current fee
schedule amounts.
i. Effects on the Medicare Program
This rule proposes transitional fee
schedule adjustments for DMEPOS
items and services furnished on or after
January 1, 2019 for areas that are
currently CBAs and for areas that are
currently not CBAs. Altogether, this rule
proposes three different fee schedule
adjustment methodologies depending
on the area in which the items and
services are furnished: (1) One fee
schedule adjustment methodology for
DME items and services furnished on or
after January 1, 2019, in areas that are
currently CBAs, in the event of a gap in
the CBP; (2) another fee schedule
adjustment methodology for items and
services furnished from January 1, 2019
through December 31, 2020, in areas
that are currently not CBAs, are not
rural areas, and are located in the
contiguous U.S.; and (3) another fee
schedule adjustment methodology for
items and services furnished from
January 1, 2019 through December 31,
2020, in areas that are currently not
CBAs and are either rural areas or noncontiguous areas. The impacts for this
part of the rule are calculated against a
baseline that assumes payments for
items furnished in CBAs and non-CBAs
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are done consistent with the rules in
place as of January 1, 2018. The impacts
are expected to cost $1,050 million
dollars in Medicare benefit payments for
the 2-year period beginning January 1,
2019 and ending December 31, 2020.
ii. Effects on Medicare Beneficiaries
This rule proposes transitional fee
schedule adjustments for DMEPOS
items and services furnished on or after
January 1, 2019 in areas that are
currently CBAs and for areas that are
currently not CBAs. Altogether, this rule
proposes three different fee schedule
adjustment methodologies depending
on the area in which the items and
services are furnished: (1) One fee
schedule adjustment methodology for
DME items and services furnished on or
after January 1, 2019, in areas that are
currently CBAs, in the event of a gap in
the CBP; (2) another fee schedule
adjustment methodology for items and
services furnished from January 1, 2019,
through December 31, 2020, in areas
that are currently not CBAs, are not
rural areas, and are located in the
contiguous U.S.; and (3) another fee
schedule adjustment methodology for
items and services furnished from
January 1, 2019 through December 31,
2020, in areas that are currently not
CBAs and are either rural areas or noncontiguous areas.
The estimated impacts for this part of
the rule are calculated against a baseline
that assumes payments for items
furnished in CBAs and non-CBAs are
done consistent with the rules in place
as of January 1, 2018. The impacts are
expected to cost $265 million in
Medicare beneficiary cost sharing
beginning January 1, 2019. The
Medicaid impacts for cost sharing for
the beneficiaries enrolled in the
Medicare Part B and Medicaid programs
for the federal and state portions are
assumed to be $45 million and $30
million, respectively.
iii. Alternatives Considered
One alternative we considered but did
not propose was to establish a fee
schedule adjustment methodology that
uses the blended (75 unadjusted/25
adjusted) rates in all super rural and
non-contiguous areas, and the blended
(25 unadjusted/75 adjusted) rates in all
other non-CBAs. In this alternative, the
fee schedule amount for items furnished
in current CBAs would be based on the
current SPAs updated by the projected
change in the CPI–U. This alternative is
estimated by rounding to the nearer 5
million dollars and is expected to cost
$30 million in Medicare benefit
payments and $5 million in Medicare
beneficiary cost sharing beginning
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January 1, 2019. The Medicaid impacts
for cost sharing for the dual eligibles for
the federal and state portions are
assumed to be $0 million and $0
million, respectively.
Another alternative we considered but
did not propose was to maintain the
current SPA determination
methodology, which bases the SPA on
the median of winning bids, for the
CBAs and maintain the current fee
schedule adjustment methodologies for
the non-CBAs. This alternative is
estimated by rounding to the nearer 5
million dollars and to save $1,140
million in Medicare benefit payments
and $280 million in Medicare
beneficiary cost sharing beginning
January 1, 2019. The Medicaid impacts
for cost sharing for the dual eligibles for
the federal and state portions are
assumed to be $50 million and $40
million, respectively.
We request public comments on these
alternatives.
d. New Payment Classes for Oxygen and
Oxygen Equipment and Methodology
for Ensuring Annual Budget Neutrality
of the New Classes
c. New Payment Classes for Oxygen and
Oxygen Equipment and Methodology
for Ensuring Annual Budget Neutrality
of the New Classes
iv. Alternatives Considered
One alternative we considered but did
not propose was to apply the budget
neutrality offset to all DME, not just to
the oxygen classes as proposed. This
would have no fiscal impact because it
would be budget neutral.
Another alternative we considered but
did not propose was to eliminate OGPE
classes added in 2006 and resort back to
modality neutral payments for both
stationary and portable equipment. This
alternative would have no fiscal impact,
either.
i. Effects on Other Providers
Suppliers of high-flow oxygen
equipment and oxygen contents would
get paid more when furnishing oxygen
to the high-risk beneficiaries who have
been prescribed high-flow oxygen. The
budget neutrality offset applied to all
oxygen classes would lessen the offset
applied to the stationary oxygen
equipment fee schedule amount, which
would be to the advantage of suppliers
that furnish only stationary oxygen
equipment.
ii. Effects on the Medicare Program
No fiscal impact due to the annual
budget neutrality calculation.
sradovich on DSK3GMQ082PROD with PROPOSALS2
iii. Effects on Medicare Beneficiaries
No fiscal impact due to the annual
budget neutrality calculation.
iv. Alternatives Considered
One alternative we considered but did
not propose was to apply the budget
neutrality offset to all DME, not just to
the oxygen classes as proposed. This
would have no fiscal impact because it
would be budget neutral.
Another alternative we considered but
did not propose was to eliminate OGPE
classes added in 2006 and resort back to
modality neutral payments for both
stationary and portable equipment. This
alternative would have no fiscal impact,
either.
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i. Effects on Other Providers
Suppliers of high-flow oxygen
equipment and oxygen contents would
get paid more when furnishing oxygen
to the high-risk beneficiaries who have
been prescribed high-flow oxygen. The
budget neutrality offset applied to all
oxygen classes would lessen the offset
applied to the stationary oxygen
equipment fee schedule amount, which
would be to the advantage of suppliers
that furnish only stationary oxygen
equipment.
ii. Effects on the Medicare Program
No fiscal impact due to the annual
budget neutrality calculation.
iii. Effects on Medicare Beneficiaries
No fiscal impact due to the annual
budget neutrality calculation.
e. Payment for Multi-Function
Ventilators
i. Effects on Other Providers
We expect that the impact of our
proposal to classify the multi-function
ventilator item in the frequent and
substantial servicing payment category
and our proposed payment rule for
determining the monthly rental fee
schedule amount would overall result in
a slight increase in payments to
suppliers since the suppliers would
continue to receive the monthly rental
amount for the base ventilator item plus
an additional average amount for the
integrated functions. In addition, the
supplier would retain ownership of the
multi-function ventilator that is used
and can furnish the equipment for
additional separate rental periods to
other beneficiaries.
ii. Effects on the Medicare Program
We expect our proposed payment rule
for multi-function ventilators to be a 5-
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34407
year cost of $15 million to the Medicare
program as the proposed payment
method would result in suppliers
continuing to receive the monthly rental
amount for the base ventilator item plus
an additional average amount for the
integrated functions.
iii. Effects on Medicare Beneficiaries
We expect the proposal would have a
negligible effect on Medicare
beneficiaries’ copayments.
iv. Alternatives Considered
We considered two alternatives for
our proposed payment rule for multifunction ventilators. One alternative
payment approach is to pay a ventilator
base item monthly rental amount and
also pay separate, add-on monthly
rental payments for each of the four
additional functions of the item. This
alternative is expected to have no cost
to the beneficiaries or the Medicare
program. Another alternative payment
approach is to establish a monthly
rental payment amount for a ventilator
plus the monthly cost of all four
additional functions. However, this
payment alternative would only be
allowed if the patient requires all five
functions of the multi-function
ventilator. This alternative is expected
to have no cost to the beneficiaries or
the Medicare program. Each of these
alternatives did not approach the new
multi-function ventilator as an
integrated item that encompasses
efficiencies for the suppliers,
beneficiaries and the program. Also,
neither of these two alternatives would
address payment for multi-function
ventilators in a different manner than
paying for five separate items that
perform the same functions. Thus, we
did not elect to pursue these
alternatives.
f. Including the Northern Mariana
Islands in Future National Mail Order
CBPs
Because this proposal would not have
a fiscal impact, no detailed economic
analysis is necessary.
C. Accounting Statement
As required by OMB Circular A–4
(available at https://
www.whitehouse.gov/omb/circulars_
a004_a-4), in Table 64, we have
prepared an accounting statement
showing the classification of the
transfers and costs associated with the
various provisions of this proposed rule.
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TABLE 64—ACCOUNTING STATEMENT: CLASSIFICATION OF ESTIMATED TRANSFERS AND COSTS/SAVINGS
ESRD PPS and AKI
Category
Transfers
Annualized Monetized Transfers ..............................................................
From Whom to Whom ..............................................................................
$190 million.
Federal government to ESRD providers.
Category
Transfers
Increased Beneficiary Co-insurance Payments .......................................
From Whom to Whom ..............................................................................
$30 million.
Beneficiaries to ESRD providers.
ESRD QIP for PY 2021
Category
Transfers
Annualized Monetized Transfers ..............................................................
From Whom to Whom ..............................................................................
¥$38 million.
Federal government to ESRD providers.
Category
Costs
Annualized Monetized ESRD Provider Costs ..........................................
$181 million.
The PY 2021 policy changes would result in an estimated $12 million
in savings.
ESRD QIP for PY 2022
Category
Transfers
Annualized Monetized Transfers ..............................................................
From Whom to Whom ..............................................................................
¥$38 million.
Federal government to ESRD providers.
Category
Costs
Annualized Monetized ESRD Provider Costs ..........................................
$202 million.
The PY 2022 policy changes would result in an estimated $21 million
increase.
DME Provisions: Competitive Bidding Reforms Annualization Period 2019 to 2023
Transfers
Category
Estimates
Annualized Monetized Transfer on Beneficiary Cost Sharing (in $Millions) .........................
From Whom to Whom ...........................................................................................................
Year dollar
Discount rate
$2
$2
2019
2019
7%
3%
Beneficiaries to Medicare providers
Transfers
Estimates
Annualized Monetized Transfer Payments (in $Millions) ......................................................
From Whom to Whom ...........................................................................................................
Year dollar
Discount rate
$0.6
$0.6
2019
2019
7%
3%
Federal government to Medicare providers.
DME Provisions: Transitional Fee Adjustments Annualization Period 2019 to 2020
Category
Transfers
Estimates
sradovich on DSK3GMQ082PROD with PROPOSALS2
Annualized Monetized Transfer on Beneficiary Cost Sharing (in $Millions) .........................
From Whom to Whom ...........................................................................................................
Year dollar
Discount rate
$506
$516
2019
2019
7%
3%
Beneficiaries to Medicare providers.
Transfers
Estimates
Year dollar
Discount rate
Annualized Monetized Transfer Payments (in $Millions) ......................................................
$128
$130
2019
2019
7%
3%
From Whom to Whom ...........................................................................................................
Federal government to Medicare providers.
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In accordance with the provisions of
Executive Order 12866, this proposed
rule was reviewed by the Office of
Management and Budget.
XVII. Regulatory Flexibility Act
Analysis
The Regulatory Flexibility Act
(September 19, 1980, Pub. L. 96–354)
(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.
Approximately 11 percent of ESRD
dialysis facilities are considered small
entities according to the Small Business
Administration’s (SBA) size standards,
which classifies small businesses as
those dialysis facilities having total
revenues of less than $38.5 million in
any 1 year. Individuals and states are
not included in the definitions of a
small entity. For more information on
SBA’s size standards, see the Small
Business Administration’s Web site at
https://www.sba.gov/content/smallbusiness-size-standards (Kidney
Dialysis Centers are listed as 621492
with a size standard of $38.5 million).
We do not believe ESRD facilities are
operated by small government entities
such as counties or towns with
populations of 50,000 or less, and
therefore, they are not enumerated or
included in this estimated RFA analysis.
Individuals and States are not included
in the definition of a small entity.
For purposes of the RFA, we estimate
that approximately 11 percent of ESRD
facilities are small entities as that term
is used in the RFA (which includes
small businesses, nonprofit
organizations, and small governmental
jurisdictions). This amount is based on
the number of ESRD facilities shown in
the ownership category in Table 58.
Using the definitions in this ownership
category, we consider 479 facilities that
are independent and 325 facilities that
are shown as hospital-based to be small
entities. The ESRD facilities that are
owned and operated by Large Dialysis
Organizations (LDOs) and regional
chains would have total revenues of
more than $38.5 million in any year
when the total revenues for all locations
are combined for each business
(individual LDO or regional chain), and
are not, therefore, included as small
entities.
For the ESRD PPS updates proposed
in this rule, a hospital-based ESRD
facility (as defined by type of
ownership, not by type of dialysis
facility) is estimated to receive a 1.9
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percent increase in payments for CY
2019. An independent facility (as
defined by ownership type) is also
estimated to receive a 2.0 percent
increase in payments for CY 2019.
For AKI dialysis, we are unable to
estimate whether patients would go to
ESRD facilities, however, we have
estimated there is a potential for $37.5
million in payment for AKI dialysis
treatments that could potentially be
furnished in ESRD facilities.
For ESRD QIP, we estimate that of the
2,896 ESRD facilities expected to
receive a payment reduction in the PY
2022 ESRD QIP, 424 are ESRD small
entity facilities. We present these
findings in Table 60 (‘‘Estimated
Distribution of PY 2022 ESRD QIP
Payment Reductions’’) and Table 61
(‘‘Impact of Proposed QIP Payment
Reductions to ESRD Facilities for PY
2022’’). We estimate that the payment
reductions would average
approximately $13,161 per facility
across the 2,896 facilities receiving a
payment reduction, and $14,665 for
each small entity facility. We also
estimate that there are 828 small entity
facilities in total, and that the aggregate
ESRD PPS payments to these facilities
would decrease 0.59 percent in PY
2022.
For DMEPOS, small entities include
small businesses, nonprofit
organizations, and small governmental
jurisdictions. Approximately 85 percent
of the DME industry are considered
small businesses according to the Small
Business Administration’s size
standards with total revenues of $6.5
million or less in any 1 year and a small
percentage are nonprofit organizations.
Individuals and states are not included
in the definition of a small entity. As
discussed in section VI of this proposed
rule, this rule would provide additional
revenue to a substantial number of small
rural entities, especially for certain
items furnished outside of the former
competitively bid areas. Therefore, the
Secretary has determined that these
proposed rules would have a significant
economic impact on a substantial
number of small entities.
Therefore, the Secretary has
determined that these proposed rules
would have a significant economic
impact on a substantial number of small
entities. 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’’ only if greater than 5
percent of providers reach a threshold of
3 to 5 percent or more of total revenue
or total costs. We solicit comment on
the RFA analysis provided.
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In addition, section 1102(b) of the Act
requires us to prepare a regulatory
impact analysis if a rule may have a
significant impact on the operations of
a substantial number of small rural
hospitals. Any such regulatory impact
analysis must conform to the provisions
of section 603 of the RFA. For purposes
of section 1102(b) of the Act, we define
a small rural hospital as a hospital that
is located outside of a metropolitan
statistical area and has fewer than 100
beds. We do not believe this proposed
rule would have a significant impact on
operations of a substantial number of
small rural hospitals because most
dialysis facilities are freestanding.
While there are 132 rural hospital-based
dialysis facilities, we do not know how
many of them are based at hospitals
with fewer than 100 beds. However,
overall, the 132 rural hospital-based
dialysis facilities will experience an
estimated 1.6 percent increase in
payments. As concerns the DME parts of
the rule, our data indicates that only
around 6.9 percent of small rural
hospitals are organizationally linked to
a DME supplier with paid claims in
2017. Thus, we do not believe the DME
parts of the rule will have a significant
impact on operations of a substantial
number of small rural hospitals. As a
result, the entire proposed rule is not
estimated to have a significant impact
on small rural hospitals.
Therefore, the Secretary has
determined that these proposed rules
would not have a significant impact on
the operations of a substantial number
of small rural hospitals.
XVIII. Unfunded Mandates Reform Act
Analysis
Section 202 of the Unfunded
Mandates Reform Act of 1995 (UMRA)
also requires that agencies assess
anticipated costs and benefits before
issuing any rule whose mandates
require spending in any 1 year of $100
million in 1995 dollars, updated
annually for inflation. In 2018, that
threshold is approximately $150
million. These proposed rules do not
include any mandates that would
impose spending costs on state, local, or
Tribal governments in the aggregate, or
by the private sector, of $150 million.
Moreover, HHS interprets UMRA as
applying only to unfunded mandates.
We do not interpret Medicare payment
rules as being unfunded mandates, but
simply as conditions for the receipt of
payments from the Federal government
for providing services that meet Federal
standards. This interpretation applies
whether the facilities or providers are
private, state, local, or tribal.
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XIX. Federalism Analysis
List of Subjects
Executive Order 13132 on Federalism
(August 4, 1999) establishes certain
requirements that an agency must meet
when it promulgates a proposed rule
(and subsequent final rule) that imposes
substantial direct requirement costs on
state and local governments, preempts
state law, or otherwise has Federalism
implications. We have reviewed these
proposed rules under the threshold
criteria of Executive Order 13132,
Federalism, and have determined that it
would have substantial direct effects on
the rights, roles, and responsibilities of
states, local or Tribal governments. It is
estimated that these proposals
contained in section VI of this proposed
rule would add $30 million dollars of
additional expense to state governments
because of the added cost sharing
expense for Medicare and Medicaid
dual eligible beneficiaries.
XX. Reducing Regulation and
Controlling Regulatory Costs
Executive Order 13771, entitled
Reducing Regulation and Controlling
Regulatory Costs (82 FR 9339), was
issued on January 30, 2017. This
proposed rule is expected to be an
Executive Order 13771 regulatory action
due to the estimated $9 million
incremental costs (see Table 64).
XXI. Congressional Review Act
These proposed rules are subject to
the Congressional Review Act
provisions of the Small Business
Regulatory Enforcement Fairness Act of
1996 (5 U.S.C. 801 et seq.) and has been
transmitted to the Congress and the
Comptroller General for review.
sradovich on DSK3GMQ082PROD with PROPOSALS2
XXII. Files Available to the Public via
the Internet
The Addenda for the annual ESRD
PPS proposed and final rulemakings
will no longer appear in the Federal
Register. Instead, the Addenda will be
available only through the Internet and
is posted on the CMS website at https://
www.cms.gov/ESRDPayment/PAY/
list.asp. In addition to the Addenda,
limited data set (LDS) files are available
for purchase at https://www.cms.gov/
Research-Statistics-Data-and-Systems/
Files-for-Order/LimitedDataSets/
EndStageRenalDiseaseSystemFile.html.
Readers who experience any problems
accessing the Addenda or LDS files,
should contact ESRDPayment@
cms.hhs.gov.
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42 CFR Part 413
Health facilities, Kidney diseases,
Medicare, Reporting and recordkeeping
requirements.
42 CFR Part 414
Administrative practice and
procedure, Health facilities, Health
professions, Kidney diseases, Medicare,
Reporting and recordkeeping
requirements.
For the reasons set forth in the
preamble, the Centers for Medicare &
Medicaid Services proposes to amend
42 CFR chapter IV as follows:
PART 413—PRINCIPLES OF
REASONABLE COST
REIMBURSEMENT; PAYMENT FOR
END-STAGE RENAL DISEASE
SERVICES; PROSPECTIVELY
DETERMINED PAYMENT RATES FOR
SKILLED NURSING FACILITIES;
PAYMENT FOR ACUTE KIDNEY
INJURY DIALYSIS
1. The authority citation for part 413
continues to read as follows:
■
Authority: Secs. 1102, 1812(d), 1814(b),
1815, 1833(a), (i), and (n), 1861(v), 1871,
1881, 1883 and 1886 of the Social Security
Act (42 U.S.C. 1302, 1395d(d), 1395f(b),
1395g, 1395l(a), (i), and (n), 1395x(v),
1395hh, 1395rr, 1395tt, and 1395ww); and
sec. 124 of Public Law 106–113, 113 Stat.
1501A–332; sec. 3201 of Public Law 112–96,
126 Stat. 156; sec. 632 of Public Law 112–
240, 126 Stat. 2354; sec. 217 of Public Law
113–93, 129 Stat. 1040; and sec. 204 of Public
Law 113–295, 128 Stat. 4010; and sec. 808 of
Public Law 114–27, 129 Stat. 362.
2. Section 413.177(a) is revised to read
as follows:
■
§ 413.177 Quality incentive program
payment.
(a) With respect to renal dialysis
services as defined under § 413.171, in
the case of an ESRD facility that does
not earn enough points under the
program described at § 413.178 to meet
or exceed the minimum total
performance score (as defined at
§ 413.178(a)(8)) established by CMS for
a payment year (as defined at
§ 413.178(a)(10)), payments otherwise
made to the facility under § 413.230 for
renal dialysis services during the
payment year will be reduced by up to
2 percent as follows:
(1) For every 10 points that the total
performance score (as defined at
§ 413.178(a)(14)) earned by the ESRD
facility falls below the minimum total
performance score, the payments
otherwise made will be reduced by 0.5
percent.
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(2) [Reserved]
*
*
*
*
■ 3. Section 413.178 is added to read as
follows:
*
Sfmt 4702
§ 413.178
ESRD quality incentive program.
(a) Definitions. As used in this
section:
(1) Achievement threshold means the
15th percentile of national ESRD facility
performance on a clinical measure
during the baseline period for a
payment year.
(2) Baseline period means, with
respect to a payment year, the time
period used to calculate the
performance standards, benchmark,
improvement threshold and
achievement threshold that apply to
each clinical measure for that payment
year.
(3) Benchmark means, with respect to
a payment year, the 90th percentile of
national ESRD facility performance on a
clinical measure during the baseline
period that applies to the measure for
that payment year.
(4) Clinical measure means a measure
that is scored for a payment year using
the methodology described in
paragraphs (d)(1)(i) through (iii) of this
section.
(5) End-Stage Renal Disease (ESRD)
Quality Incentive Program (QIP) means
the program authorized under section
1881(h) of the Social Security Act.
(6) ESRD facility means an ESRD
facility as defined in § 413.171.
(7) Improvement threshold means an
ESRD facility’s performance on a
clinical measure during the baseline
period that applies to the measure for a
payment year.
(8) Minimum total performance score
(mTPS) means, with respect to a
payment year, the total performance
score that an ESRD facility would
receive if, during the baseline period, it
performed at the 50th percentile of
national ESRD facility performance on
all clinical measures and the median of
national ESRD facility performance on
all reporting measures.
(9) Payment reduction means the
reduction, as specified by CMS, to each
payment that would otherwise be made
to an ESRD facility under § 413.230 for
a calendar year based on the TPS earned
by the ESRD facility for the
corresponding payment year that is
lower than the mTPS score established
for that payment year.
(10) Payment year means the calendar
year for which a payment reduction, if
applicable, is applied to the payments
otherwise made to an ESRD facility
under § 413.230.
(11) Performance period means the
time period during which data are
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collected for the purpose of calculating
an ESRD facility’s performance on
measures with respect to a payment
year.
(12) Performance standards are, for a
clinical measure, the performance levels
used to award points to an ESRD facility
based on its performance on the
measure, and are, for a reporting
measure, the levels of data submission
and completion of other actions
specified by CMS that are used to award
points to an ESRD facility on the
measure.
(13) Reporting measure means a
measure that is scored for a payment
year using the methodology described in
paragraph (d)(1)(iv) of this section.
(14) Total performance score (TPS)
means the numeric score ranging from
0 to 100 awarded to each ESRD facility
based on its performance under the
ESRD QIP with respect to a payment
year.
(b) Applicability of the ESRD QIP. The
ESRD QIP applies to ESRD facilities as
defined at § 413.171 beginning the first
day of the month that is 4 months after
the facility CMS Certification Number
(CCN) effective date.
(c) ESRD QIP measure selection. CMS
specifies measures for the ESRD QIP for
a payment year and groups the measures
into domains. The measures for a
payment year include, but are not
limited to:
(1) Measures on anemia management
that reflect the labeling approved by the
Food and Drug Administration for such
management.
(2) Measures on dialysis adequacy.
(3) To the extent feasible, measures on
iron management, bone mineral
metabolism, and vascular access
(including for maximizing the
placement of arterial venous fistula).
(4) Beginning with the 2016 payment
year, measures specific to the conditions
treated with oral-only drugs and that
are, to the extent feasible, outcomesbased.
(d) Performance scoring under the
ESRD QIP. (1) CMS will award points to
an ESRD facility based on its
performance on each clinical measure
for which the ESRD facility reports the
applicable minimum number of cases
during the performance period for a
payment year, and based on the degree
to which the ESRD facility submits data
and completes other actions specified
by CMS for a reporting measure during
the performance period for a payment
year.
(i) CMS will award from 1 to 9 points
for achievement on a clinical measure to
each ESRD facility whose performance
on that measure during the applicable
performance period meets or exceeds
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the achievement threshold but is less
than the benchmark specified for that
measure.
(ii) CMS will award from 0 to 9 points
for improvement on a clinical measure
to each ESRD facility whose
performance on that measure during the
applicable performance period meets or
exceeds the improvement threshold but
is less than the benchmark specified for
that measure.
(iii) CMS will award 10 points to each
ESRD facility whose performance on a
clinical measure during the applicable
performance period meets or exceeds
the benchmark specified for that
measure.
(iv) CMS will award from 0 to 10
points to each ESRD facility on a
reporting measure based on the degree
to which, during the applicable
performance period, the ESRD facility
reports data and completes other actions
specified by CMS with respect to that
measure.
(2) CMS calculates the TPS for an
ESRD facility for a payment year as
follows:
(i) CMS calculates a domain score for
each domain based on the total number
of points the ESRD facility has earned
under paragraph (d)(1) of this section for
each measure in the domain and the
weight that CMS has assigned to each
measure.
(ii) CMS weights each domain score
in accordance with the domain weight
that CMS has established for the
payment year.
(iii) The sum of the weighted domain
scores is the ESRD facility’s TPS for the
payment year.
(e) Public availability of ESRD QIP
performance information. (1) CMS will
make information available to the public
regarding the performance of each ESRD
facility under the ESRD QIP on the
Dialysis Facility Compare website,
including the facility’s TPS and scores
on individual measures.
(2) Prior to making the information
described in paragraph (e)(1) of this
section available to the public, CMS will
provide ESRD facilities with an
opportunity to review that information,
technical assistance to help them
understand how their performance
under the ESRD QIP was scored, and an
opportunity to request and receive
responses to questions that they have
about the ESRD QIP.
(3) CMS will provide each ESRD
facility with a performance score
certificate on an annual basis that
describes the TPS achieved by the
facility with respect to a payment year.
The performance score certificate must
be posted by the ESRD facility within 15
business days of the date that CMS
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34411
issues the certificate to the ESRD
facility, with the content unaltered, in
an area of the facility accessible to
patients.
(f) Limitation on review. There is no
administrative or judicial review of the
following:
(1) The determination of the amount
of the payment reduction under section
1881(h)(1) of the Act.
(2) The specification of measures
under section 1881(h)(2) of the Act.
(3) The methodology developed under
section 1881(h)(3) of the Act that is used
to calculate TPSs and performance
scores for individual measures.
(4) The establishment of the
performance standards and the
performance period under section
1881(h)(4) of the Act.
■ 4. Section 413.232 is amended by—
■ a. Revising paragraphs (b)
introductory text and (b)(2);
■ b. Revising paragraph (c)(2);
■ c. Revising paragraph (e);
■ d. Revising paragraph (g)(2); and
■ e. Adding paragraph (g)(3).
The revisions and addition read as
follows:
§ 413.232
Low-volume adjustment.
*
*
*
*
*
(b) Definition of low-volume facility.
A low-volume facility is an ESRD
facility that, as determined based on the
documentation submitted pursuant to
paragraph (g) of this section:
*
*
*
*
*
(2) Has not opened, closed, or
received a new provider number due to
a change in ownership (except where
the change in ownership results in a
change in facility type) in the 3 cost
reporting years (based on as-filed or
final settled 12-consecutive month cost
reports, whichever is most recent)
preceding the payment year.
(c) * * *
(2) Five (5) road miles or less from the
ESRD facility in question.
*
*
*
*
*
(e) Except as provided in paragraph (f)
of this section and unless extraordinary
circumstances justify an exception, to
receive the low-volume adjustment an
ESRD facility must provide an
attestation statement, by November 1st
of each year preceding the payment
year, to its Medicare Administrative
Contractor that the facility meets all the
criteria established in this section,
except that, for calendar year 2012, the
attestation must be provided by January
3, 2012, for calendar year 2015, the
attestation must be provided by
December 31, 2014, and for calendar
year 2016, the attestation must be
provided by December 31, 2015.
*
*
*
*
*
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(g) * * *
(2) In the case of an ESRD facility that
has undergone a change of ownership
wherein the ESRD facility’s Medicare
billing number does not change or
changes due to a reclassification of
facility type, the MAC relies upon the
attestation and if the change results in
two non-standard cost reporting periods
(less than or greater than 12 consecutive
months) does one of the following for
the 3 cost reporting years preceding the
payment year to verify the number of
treatments:
(i) Combines the two non-standard
cost reporting periods of less than 12
months to equal a full 12-consecutive
month period; and/or
(ii) Combines the two non-standard
cost reporting periods that in
combination may exceed 12-consecutive
months and prorates the data to equal a
full 12-consecutive month period.
(3) In the case of an ESRD facility that
has changed their cost reporting period,
the MAC relies on the attestation and
does one or both of the following for the
3 cost reporting years preceding the
payment year to verify the number of
treatments:
(i) Combines the two non-standard
cost reporting periods of less than 12
months to equal a full 12-consecutive
month period; and/or
(ii) Combines the two non-standard
cost reporting periods that in
combination may exceed 12-consecutive
months and prorates the data to equal a
full 12-consecutive month period.
■ 5. Section 413.234 is amended—
■ a. In paragraph (a) by removing the
definition of ‘‘New injectable or
intravenous product’’ and adding the
definition of ‘‘New renal dialysis drug
or biological’’ in alphabetical order; and
■ b. By revising paragraphs (b) and (c).
The revisions read as follows:
sradovich on DSK3GMQ082PROD with PROPOSALS2
§ 413.234
Drug designation process.
(a) * * *
New renal dialysis drug or biological.
An injectable, intravenous, oral or other
form or route of administration drug or
biological that is used to treat or manage
a condition(s) associated with ESRD. It
must be approved by the Food and Drug
Administration (FDA) on or after
January 1, 2019 under section 505 of the
Federal Food, Drug, and Cosmetic Act
or section 351 of the Public Health
Service Act, commercially available,
have an HCPCS application submitted
in accordance with the official HCPCS
Level II coding procedures, and
designated by CMS as a renal dialysis
service under § 413.171. Oral-only drugs
or biologicals are excluded until January
1, 2025.
*
*
*
*
*
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(b) Drug designation process. New
renal dialysis drugs or biologicals are
included in the ESRD PPS bundled
payment using the following drug
designation process:
(1) If the new renal dialysis drug or
biological is used to treat or manage a
condition for which there is an ESRD
PPS functional category, the new renal
dialysis drug or biological is considered
included in the ESRD PPS bundled
payment and the following steps occur:
(i) The new renal dialysis drug or
biological is added to an existing ESRD
PPS functional category.
(ii) The new renal dialysis drug or
biological is paid for using the
transitional drug add-on payment
adjustment described in paragraph (c)(1)
of this section.
(2) If the new renal dialysis drug or
biological is used to treat or manage a
condition for which there is not an
ESRD PPS functional category, the new
renal dialysis drug or biological is not
considered included in the ESRD PPS
bundled payment and the following
steps occur:
(i) An existing ESRD PPS functional
category is revised or a new ESRD PPS
functional category is added for the
condition that the new renal dialysis
drug or biological is used to treat or
manage;
(ii) The new renal dialysis drug or
biological is paid for using the
transitional drug add-on payment
adjustment described in paragraph (c)(2)
of this section; and
(iii) The new renal dialysis drug or
biological is added to the ESRD PPS
bundled payment following payment of
the transitional drug add-on payment
adjustment.
(c) Transitional drug add-on payment
adjustment. A new renal dialysis drug
or biological is paid for using a
transitional drug add-on payment
adjustment, which is based on 100
percent of Average Sales Price (ASP). If
ASP is not available then the
transitional drug add-on payment
adjustment is based on 100 percent of
Wholesale Acquisition Cost (WAC) and,
when WAC is not available, the
payment would be based on the drug
manufacturer’s invoice.
(1) A new renal dialysis drug or
biological that is considered included in
the ESRD PPS base rate is paid the
transitional drug add-on payment
adjustment is paid for 2 years.
(i) Following payment of the
transitional drug add-on payment
adjustment the ESRD PPS base rate will
not be modified.
(ii) [Reserved]
(2) A new renal dialysis drug or
biological that is not considered
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included in the ESRD PPS base rate is
paid the transitional drug add-on
payment adjustment until sufficient
claims data for rate setting analysis for
the new renal dialysis drug or biological
is available, but not for less than 2 years.
(i) Following payment of the
transitional drug add-on payment
adjustment the ESRD PPS base rate will
be modified, if appropriate, to account
for the new renal dialysis drug or
biological in the ESRD PPS bundled
payment.
(ii) [Reserved]
*
*
*
*
*
PART 414—PAYMENT FOR PART B
MEDICAL AND OTHER HEALTH
SERVICES
6. The authority citation for part 414
continues to read as follows:
■
Authority: Secs. 1102, 1871, and 1881(b)(l)
of the Social Security Act (42 U.S.C. 1302,
1395hh, and 1395rr(b)(l)).
7. Section 414.210 is amended by—
a. Revising paragraphs (g)(4), (7) and
(9); and
■ b. Adding paragraph (g)(10).
The revisions and addition read as
follows:
■
■
§ 414.210
General payment rules.
*
*
*
*
*
(g) * * *
(4) Payment adjustments using data
on items and services included in
competitive bidding programs no longer
in effect. In the case where adjustments
to fee schedule amounts are made using
any of the methodologies described,
other than paragraph (g)(10) of this
section, if the adjustments are based
solely on single payment amounts from
competitive bidding programs that are
no longer in effect, the single payment
amounts are updated before being used
to adjust the fee schedule amounts. The
single payment amounts are updated
based on the percentage change in the
Consumer Price Index for all Urban
Consumers (CPI–U) from the mid-point
of the last year the single payment
amounts were in effect to the month
ending 6 months prior to the date the
initial fee schedule reductions go into
effect. Following the initial adjustments
to the fee schedule amounts, if the
adjustments continue to be based solely
on single payment amounts from
competitive bidding programs that are
no longer in effect, the single payment
amounts used to reduce the fee schedule
amounts are updated every 12 months
using the percentage change in the
CPI–U for the 12-month period ending
6 months prior to the date the updated
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payment adjustments would go into
effect.
*
*
*
*
*
(7) Payment adjustments for mail
order items furnished in the Northern
Mariana Islands. The fee schedule
amounts for mail order items furnished
to beneficiaries in the Northern Mariana
Islands are adjusted so that they are
equal to 100 percent of the single
payment amounts established under a
national mail order competitive bidding
program. Beginning on or after the date
that the Northern Mariana Islands are
included under a national mail order
competitive bidding program, the fee
schedule adjustment methodology
under this paragraph would no longer
apply.
*
*
*
*
*
(9) Transition rules. The payment
adjustments described above are phased
in as follows:
(i) For applicable items and services
furnished with dates of service from
January 1, 2016 through December 31,
2016, based on the fee schedule amount
for the area is equal to 50 percent of the
adjusted payment amount established
under this section and 50 percent of the
unadjusted fee schedule amount.
(ii) For items and services furnished
with dates of service from January 1,
2017, through May 31, 2018, the fee
schedule amount for the area is equal to
100 percent of the adjusted payment
amount established under this section.
(iii) For items and services furnished
in rural areas and non-contiguous areas
(Alaska, Hawaii, and U.S. territories)
with dates of service from June 1, 2018
through December 31, 2020, based on
the fee schedule amount for the area is
equal to 50 percent of the adjusted
payment amount established under this
section and 50 percent of the unadjusted
fee schedule amount.
(iv) For items and services furnished
in areas other than rural or
noncontiguous areas with dates of
service from June 1, 2018 through
December 31, 2020, based on the fee
schedule amount for the area is equal to
100 percent of the adjusted payment
amount established under this section.
(10) Payment adjustments for items
and services furnished in former
competitive bidding areas during
temporary gaps in the DMEPOS CBP.
During a temporary gap in the entire
DMEPOS CBP and/or National Mail
Order CBP, the fee schedule amounts for
items and services that were
competitively bid and furnished in areas
that were competitive bidding areas at
the time the program(s) was in effect are
adjusted based on the SPAs in effect in
the competitive bidding areas on the last
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day before the CBP contract period of
performance ended, increased by the
projected percentage change in the
Consumer Price Index for all Urban
Consumers (CPI–U) for the 12-month
period ending on the date after the
contract periods ended. If the gap in the
CBP lasts for more than 12 months, the
fee schedule amounts are increased
once every 12 months on the
anniversary date of the first day of the
gap period based on the projected
percentage change in the CPI–U for the
12-month period ending on the
anniversary date.
■ 8. Section 414.222 is amended by
adding paragraph (f) to read as follows:
§ 414.222 Items requiring frequent and
substantial servicing.
*
*
*
*
*
(f) Multi-function ventilators—(1)
Definition. For the purpose of this
paragraph, a multi-function ventilator is
a ventilator as defined in paragraph
(a)(1) of this section that also performs
medically necessary functions for the
patient at the same time that would
otherwise be performed by one or more
different items classified under
§ 414.220, § 414.226, or § 414.229.
(2) Payment rule. Effective for dates of
service on or after January 1, 2019, the
monthly rental fee schedule amount for
a multi-function ventilator described in
paragraph (f)(1) of this section is equal
to the monthly rental fee schedule
amount for the ventilator established in
paragraph (c) and paragraph (d) of this
section plus the average of the lowest
monthly cost for one additional function
determined under paragraph (f)(3) of
this section and the monthly cost of all
additional functions determined under
paragraph (f)(3), increased by the annual
covered item updates of section
1834(a)(14) of the Act.
(3) Monthly cost for additional
functions. (i) For functions performed
by items classified under this section
prior to 1994, the monthly cost is equal
to the monthly rental fee schedule
amount established in paragraphs (c)
and (d) of this section increased by the
covered item update of section
1834(a)(14) of the Act.
(ii) For functions performed by items
classified under § 414.220, the monthly
cost is equal to the fee schedule amount
for purchased equipment established in
§ 414.220(c), (d), (e), and (f), adjusted in
accordance with § 414.210(g), divided
by 60 months or total number of months
of the reasonable useful lifetime of the
equipment.
(iii) For functions performed by items
classified under § 414.226, the monthly
cost is equal to the monthly payment
amount established in § 414.226(e), (f),
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and (g) of, adjusted in accordance with
§ 414.210(g), multiplied by 36 and
divided by 60 months or total number
of months of the reasonable useful
lifetime of the oxygen equipment.
(iv) For functions performed by items
classified under § 414.229, the monthly
cost is equal to the purchase price
established in § 414.229 (c) of, adjusted
in accordance with § 414.210(g), divided
by 60 months or total number of months
of the reasonable useful lifetime of the
equipment.
■ 9. Section 414.226 is amended—
■ a. By revising the heading of
paragraph (c);
■ b. By revising paragraph (c)(6);
■ c. By revising the heading of
paragraph (d);
■ d. In paragraph (d)(2) by removing the
reference ‘‘paragraph (e)(2)’’ and adding
in its place the reference ‘‘paragraph
(g)(2)’’;
■ e. By redesignating paragraphs (e), (f)
and (g) as paragraphs (g), (h), and (i);
and
■ f. By adding new paragraphs (e) and
(f).
The revisions and additions read as
follows:
§ 414.226
Oxygen and oxygen equipment.
*
*
*
*
*
(c) Monthly fee schedule amount for
items furnished from 2007 through
2018. * * *
*
*
*
*
*
(6) For 2008 through 2018, CMS
makes an annual adjustment to the
national limited monthly payment rate
for items described in paragraph (c)(1)(i)
of this section to ensure that such
payment rates do not result in
expenditures for any year that are more
or less than the expenditures that would
have been made if such classes had not
been established.
(d) Application of monthly fee
schedule amounts for items furnished
from 2007 through 2018. * * *
*
*
*
*
*
(e) Monthly fee schedule amount for
items furnished for years after 2018. (1)
For 2019, national limited monthly
payment rates are calculated and paid as
the monthly fee schedule amounts for
the following classes of items:
(i) Stationary oxygen equipment
(including stationary concentrators) and
oxygen contents (stationary and
portable).
(ii) Portable gaseous equipment only.
(iii) Portable liquid equipment only.
(iv) Oxygen generating portable
equipment only.
(v) Stationary oxygen contents only.
(vi) Portable oxygen contents only,
except for portable liquid oxygen
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contents for prescribed flow rates
greater than four liters per minute.
(vii) Portable liquid oxygen contents
only for prescribed flow rates of more
than 4 liters per minute.
(2) The monthly payment rate for
items described in paragraphs (e)(1)(i),
(ii), (iv), (v), and (vi) of this section are
determined using the applicable
methodologies contained in
§ 414.210(g).
(3) The monthly payment rate for
items described in paragraph (e)(1)(iii)
of this section is determined initially
based on the monthly payment rate for
items described in paragraph (e)(1)(iv)
of this section and is subsequently
adjusted using the applicable
methodologies contained in
§ 414.210(g).
(4) The monthly payment rate for
items described in paragraph (e)(1)(vii)
of this section is determined initially
based on 150 percent of the monthly
payment rate for items described in
paragraph (e)(1)(vi) of this section and is
subsequently adjusted using the
applicable methodologies contained in
§ 414.210(g).
(5) Beginning in 2019, CMS makes an
annual adjustment to the monthly
payment rate for items described in
paragraphs (e)(1)(i) through (e)(1)(vii) of
this section to ensure that such payment
rates do not result in expenditures for
any year that are more or less than the
expenditures that would have been
made if such classes had not been
established.
(f) Application of monthly fee
schedule amounts for items furnished
for years after 2018. (1) The fee schedule
amount for items described in paragraph
(e)(1)(i) of this section is paid when the
beneficiary rents stationary oxygen
equipment.
(2) Subject to the limitation set forth
in paragraph (g)(2) of this section, the
fee schedule amount for items described
in paragraphs (e)(1)(ii), (iii), and (iv) of
this section is paid when the beneficiary
rents portable oxygen equipment.
(3) The fee schedule amount for items
described in paragraph (e)(1)(v) of this
section is paid when the beneficiary—
(i) Owns stationary oxygen equipment
that requires delivery of gaseous or
liquid oxygen contents; or
(ii) Rents stationary oxygen
equipment that requires delivery of
gaseous or liquid oxygen contents after
the period of continuous use of 36
months described in paragraph (a)(1) of
this section.
(4) The fee schedule amount for items
described in paragraph (e)(1)(vi) of this
section is paid when the beneficiary—
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(i) Owns portable oxygen equipment
described in paragraphs (e)(1)(ii) or
(e)(1)(iii) of this section; or
(ii) Rents portable oxygen equipment
described in paragraphs (e)(1)(ii) or
(e)(1)(iii) of this section during the
period of continuous use of 36 months
described in paragraph (a)(1) of this
section and does not rent stationary
oxygen equipment; or
(iii) Rents portable oxygen equipment
described in paragraphs (e)(1)(ii) or
(e)(1)(iii) of this section after the period
of continuous use of 36 months
described in paragraph (a)(1) of this
section.
(5) The fee schedule amount for items
described in paragraph (e)(1)(vii) of this
section is paid when the beneficiary has
a prescribed flow rate of more than 4
liters per minute and—
(i) Owns portable liquid oxygen
equipment described in paragraph
(e)(1)(iii) of this section; or
(ii) Rents portable liquid oxygen
equipment described in paragraph
(e)(1)(iii) of this section during the
period of continuous use of 36 months
described in paragraph (a)(1) of this
section and does not rent stationary
oxygen equipment; or
(iii) Rents portable liquid oxygen
equipment described in paragraph
(e)(1)(iii) of this section after the period
of continuous use of 36 months
described in paragraph (a)(1) of this
section.
§ 414.230
[Amended]
10. Section 414.230 is amended in
paragraph (h) by removing the reference
‘‘§ 414.226(f)’’ and adding in its place
the reference ‘‘§ 414.226(h)’’.
■ 11. Section 414.402 is amended by
revising the definitions of ‘‘Bid’’ and
‘‘Composite bid’’, and adding the
definition of ‘‘Lead item’’ in
alphabetical order to read as follows:
12. Section 414.412 is amended by—
a. Revising paragraphs (b)(1) and (2);
■ b. Revising paragraph (c);
■ c. Revising the heading of paragraph
(e); and
■ d. Revising the heading of paragraph
(h).
The revisions read as follows:
■
■
§ 414.412 Submission of bids under a
competitive bidding program.
*
*
*
*
*
(b) * * *
(1) Composite bids, as defined in
§ 414.402, are submitted for lead items,
as defined in § 414.402.
(2) The bid submitted for each lead
item and product category cannot
exceed the payment amount that would
otherwise apply to the lead item under
subpart C of this part, without the
application of § 414.210(g), or subpart D
of this part, without the application of
§ 414.105.
*
*
*
*
*
(c) Furnishing of items. A bid must
include all costs related to furnishing all
items in the product category, including
all services directly related to the
furnishing of the items.
(e) Commonly-owned or controlled
suppliers. * * *
*
*
*
*
*
(h) Requiring bid surety bonds for
bidding entities. * * *
*
*
*
*
*
■ 13. Section 414.414 is amended by
revising paragraph (e) to read as follows:
■
§ 414.402
Definitions.
*
*
*
*
*
Bid means an offer to furnish an item
or items for a particular price and time
period that includes, where appropriate,
any services that are directly related to
the furnishing of the item or items.
*
*
*
*
*
Composite bid means the bid
submitted by the supplier for the lead
item in the product category.
*
*
*
*
*
Lead item is the item in a product
category with multiple items with the
highest total nationwide Medicare
allowed charges of any item in the
product category prior to each
competition.
*
*
*
*
*
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§ 414.414 Conditions for awarding
contracts.
*
*
*
*
*
(e) Evaluation of bids. CMS evaluates
composite bids submitted for a lead
item within a product category by—
(1) Calculating the expected
beneficiary demand in the CBA for the
lead item in the product category;
(2) Calculating the total supplier
capacity that would be sufficient to
meet the expected beneficiary demand
in the CBA for the lead item in the
product category;
(3) Arraying the composite bids from
the lowest composite bid price to the
highest composite bid price;
(4) Calculating the pivotal bid for the
product category; and
(5) Selecting all suppliers and
networks whose composite bids are less
than or equal to the pivotal bid for that
product category, and that meet the
requirements in paragraphs (b) through
(d) of this section.
*
*
*
*
*
■ 14. Section 414.416 is amended by
revising paragraph (b) to read as follows:
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§ 414.416 Determination of competitive
bidding payment amounts.
*
*
*
*
(b) Methodology for setting payment
amount. (1) The single payment amount
for a lead item furnished under a
competitive bidding program is equal to
the maximum or highest bid submitted
for that item by suppliers whose
composite bids for the product category
that includes the item are equal to or
below the pivotal bid for that product
category.
(2) The single payment amount for a
lead item must be less than or equal to
the amount that would otherwise be
paid for the same item under subpart C
or subpart D of this part.
(3) The single payment amount for an
item in a product category furnished
under a competitive bidding program
that is not a lead item for that product
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category is equal to the single payment
amount for the lead item in the same
product category multiplied by the ratio
of the average of the 2015 fee schedule
amounts for all areas (that is, all states,
the District of Columbia, Puerto Rico,
and the United States Virgin Islands) for
the item to the average of the 2015 fee
schedule amounts for all areas for the
lead item.
§ 414.423 Appeals process for breach of a
DMEPOS competitive bidding program
contract actions.
§ 414.422
Dated: June 26, 2018.
Seema Verma,
Administrator, Centers for Medicare &
Medicaid Services.
Dated: June 28, 2018.
Alex M. Azar II,
Secretary, Department of Health and Human
Services.
[Amended]
15. Section 414.422 is amended by
redesignating paragraphs (d)(4)(iii)
through (d)(4)(vi) as paragraphs (d)(4)(ii)
through (d)(4)(v).
■ 16. Section 414.423 is amended by
revising paragraph (i)(8) to read as
follows:
■
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*
*
*
*
*
(i) * * *
(8) Comply with all applicable
provisions of Title 18 and related
provisions of the Act, the applicable
regulations issued by the Secretary, and
manual instructions issued by CMS.
*
*
*
*
*
[FR Doc. 2018–14986 Filed 7–11–18; 4:15 pm]
BILLING CODE P
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Agencies
[Federal Register Volume 83, Number 139 (Thursday, July 19, 2018)]
[Proposed Rules]
[Pages 34304-34415]
From the Federal Register Online via the Government Publishing Office [www.gpo.gov]
[FR Doc No: 2018-14986]
[[Page 34303]]
Vol. 83
Thursday,
No. 139
July 19, 2018
Part II
Department of Health and Human Services
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Centers for Medicare & Medicaid Services
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42 CFR Parts 413 and 414
Medicare Program; End-Stage Renal Disease Prospective Payment System,
Payment for Renal Dialysis Services Furnished to Individuals With Acute
Kidney Injury, End-Stage Renal Disease Quality Incentive Program,
Durable Medical Equipment, Prosthetics, Orthotics and Supplies (DMEPOS)
Competitive Bidding Program (CBP) and Fee Schedule Amounts, and
Technical Amendments To Correct Existing Regulations Related to the CBP
for Certain DMEPOS; Proposed Rule
Federal Register / Vol. 83 , No. 139 / Thursday, July 19, 2018 /
Proposed Rules
[[Page 34304]]
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DEPARTMENT OF HEALTH AND HUMAN SERVICES
Centers for Medicare & Medicaid Services
42 CFR Parts 413 and 414
[CMS-1691-P]
RIN 0938-AT28
Medicare Program; End-Stage Renal Disease Prospective Payment
System, Payment for Renal Dialysis Services Furnished to Individuals
With Acute Kidney Injury, End-Stage Renal Disease Quality Incentive
Program, Durable Medical Equipment, Prosthetics, Orthotics and Supplies
(DMEPOS) Competitive Bidding Program (CBP) and Fee Schedule Amounts,
and Technical Amendments To Correct Existing Regulations Related to the
CBP for Certain DMEPOS
AGENCY: Centers for Medicare & Medicaid Services (CMS), HHS.
ACTION: Proposed rule.
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SUMMARY: This proposed rule would update and make revisions to the End-
Stage Renal Disease (ESRD) Prospective Payment System (PPS) for
calendar year (CY) 2019. This rule also proposes to update the payment
rate for renal dialysis services furnished by an ESRD facility to
individuals with acute kidney injury (AKI). In addition, it proposes a
rebasing of the ESRD market basket for CY 2019. This proposed rule also
proposes to update requirements for the ESRD Quality Incentive Program
(QIP), and to make technical amendments to correct existing regulations
related to the CBP for certain DMEPOS. Finally, this proposed rule
proposes changes to bidding and pricing methodologies under the Durable
Medical Equipment, Prosthetics, Orthotics and Supplies (DMEPOS)
competitive bidding program (CBP); adjustments to DMEPOS Fee Schedule
amounts using information from competitive bidding for items furnished
from January 1, 2019 through December 31, 2020; new payment classes for
oxygen and oxygen equipment and a new methodology for ensuring that new
payment classes for oxygen and oxygen equipment are budget neutral;
payment rules for multi-function ventilators or ventilators that
perform functions of other durable medical equipment (DME); and payment
methodology revisions for mail order items furnished in the Northern
Mariana Islands. This rule also includes a request for information
related to establishing fee schedule amounts for new DMEPOS items and
services. It also includes Requests for Information on promoting
interoperability and electronic healthcare information exchange, and
improving beneficiary access to dialysis facility and DMEPOS charge
information.
DATES: To be assured consideration, comments must be received at one of
the addresses provided below, no later than 5 p.m. on September 10,
2018.
ADDRESSES: In commenting, please refer to file code CMS-1691-P. Because
of staff and resource limitations, we cannot accept comments by
facsimile (FAX) transmission.
Comments, including mass comment submissions, must be submitted in
one of the following three ways (please choose only one of the ways
listed):
1. Electronically. You may submit electronic comments on this
regulation to https://www.regulations.gov. Follow the ``Submit a
comment'' instructions.
2. By regular mail. You may mail written comments to the following
address ONLY: Centers for Medicare & Medicaid Services, Department of
Health and Human Services, Attention: CMS-1691-P, P.O. Box, 8010,
Baltimore, MD 21244-8010.
Please allow sufficient time for mailed comments to be received
before the close of the comment period.
3. By express or overnight mail. You may send written comments to
the following address ONLY: Centers for Medicare & Medicaid Services,
Department of Health and Human Services, Attention: CMS-1691-P, Mail
Stop C4-26-05, 7500 Security Boulevard, Baltimore, MD 21244-1850.
For information on viewing public comments, see the beginning of
the SUPPLEMENTARY INFORMATION section.
FOR FURTHER INFORMATION CONTACT:
[email protected], for issues related to the ESRD PPS and
coverage and payment for renal dialysis services furnished to
individuals with AKI.
Delia Houseal, (410) 786-2724, for issues related to the ESRD QIP.
[email protected], for issues related to DMEPOS payment policy.
Julia Howard, (410) 786-8645, for issues related to DMEPOS CBP
technical amendments only.
SUPPLEMENTARY INFORMATION:
Inspection of Public Comments: All comments received before the
close of the comment period are available for viewing by the public,
including any personally identifiable or confidential business
information that is included in a comment. We post all comments
received before the close of the comment period on the following
website as soon as possible after they have been received: https://www.regulations.gov. Follow the search instructions on that website to
view public comments.
Electronic Access
This Federal Register document is also available from the Federal
Register online database through Federal Digital System (FDsys), a
service of the United States Government Printing Office. This database
can be accessed via the internet at https://www.gpo.gov/fdsys/.
Table of Contents
To assist readers in referencing sections contained in this
preamble, we are providing a Table of Contents. Some of the issues
discussed in this preamble affect the payment policies, but do not
require changes to the regulations in the Code of Federal Regulations
(CFR).
I. Executive Summary
A. Purpose
1. End-Stage Renal Disease (ESRD) Prospective Payment System
(PPS)
2. Coverage and Payment for Renal Dialysis Services Furnished to
Individuals With Acute Kidney Injury (AKI)
3. End-Stage Renal Disease (ESRD) Quality Incentive Program
(QIP)
4. Changes to the DMEPOS Competitive Bidding Program and Fee
Schedule Payment Rules
B. Summary of the Major Provisions
1. ESRD PPS
2. Payment for Renal Dialysis Services Furnished to Individuals
With AKI
3. ESRD QIP
4. Changes to the DMEPOS Competitive Bidding Program and Fee
Schedule Payment Rules
C. Summary of Cost and Benefits
1. Impacts of the Proposed ESRD PPS
2. Impacts of the Proposed Payment for Renal Dialysis Services
Furnished to Individuals With AKI
3. Impacts of the Proposed ESRD QIP
4. Impacts of the Proposed Changes to the DMEPOS Competitive
Bidding Program and Fee Schedule Payment Rules
II. Calendar Year (CY) 2019 End-Stage Renal Disease (ESRD)
Prospective Payment System (PPS)
A. Background
B. Provisions of the Proposed Rule
C. Solicitation for Information on Transplant and Modality
Requirements
III. CY 2019 Payment for Renal Dialysis Services Furnished to
Individuals With Acute Kidney Injury (AKI)
A. Background
B. Annual Payment Rate Update for CY 2019
IV. End-Stage Renal Disease Quality Incentive Program (ESRD QIP)
A. Background
B. Proposed Update to Requirements Beginning With the PY 2021
ESRD QIP
C. Proposed Requirements for the PY 2022 ESRD QIP
D. Proposed Requirements Beginning With the PY 2024 ESRD QIP
[[Page 34305]]
V. Changes to the Durable Medical Equipment, Prosthetics, Orthotics,
and Supplies (DMEPOS) Competitive Bidding Program (CBP)
A. Background
B. Current Method for Submitting Bids and Selecting Winners
C. Current Method for Establishing SPAs
D. Provisions of the Proposed Rule
VI. Adjustments to DMEPOS Fee Schedule Amounts Based on Information
From the DMEPOS CBP
A. Background
B. Current Issues
C. Provisions of the Proposed Rule
VII. New Payment Classes for Oxygen and Oxygen Equipment and
Methodology for Ensuring Annual Budget Neutrality of the New Classes
A. Background
B. Provisions of the Proposed Rule
VIII. Payment for Multi-Function Ventilators
A. Background
B. Current Issues
C. Provisions of the Proposed Rule
IX. Including the Northern Mariana Islands in Future National Mail
Order CBPs
A. Background
B. Current Issues
C. Provisions of the Proposed Rule
X. Request for Information on the Gap-Filling Process for
Establishing Fees for New DMEPOS Items
XI. DMEPOS CBP Technical Amendments
A. Background
B. Proposed Technical Amendments
XII. Burden Reduction on Comorbidities
A. Background
B. Proposed Documentation Requirements
XIII. Requests for Information
A. Request for Information on Promoting Interoperability and
Electronic Healthcare Information Exchange Through Possible
Revisions to the CMS Patient Health and Safety Requirements for
Hospitals and Other Medicare- and Medicaid-Participating Providers
and Suppliers
B. Request for Information on Price Transparency: Improving
Beneficiary Access to Provider and Supplier Charge Information
XIV. Collection of Information Requirements
XV. Response to Comments
XVI. Economic Analyses
A. Regulatory Impact Analysis
B. Detailed Economic Analysis
C. Accounting Statement
XVII. Regulatory Flexibility Act Analysis
XVIII. Unfunded Mandates Reform Act Analysis
XIX. Federalism Analysis
XX. Reducing Regulation and Controlling Regulatory Costs
XXI. Congressional Review Act
XXII. Files Available to the Public via the Internet
Regulations Text
I. Executive Summary
A. Purpose
1. End-Stage Renal Disease (ESRD) Prospective Payment System (PPS)
On January 1, 2011, we implemented the End-Stage Renal Disease
(ESRD) Prospective Payment System (PPS), a case-mix adjusted, bundled
PPS for renal dialysis services furnished by ESRD facilities as
required by section 1881(b)(14) of the Social Security Act (the Act),
as added by section 153(b) of the Medicare Improvements for Patients
and Providers Act of 2008 (MIPPA). Section 1881(b)(14)(F) of the Act,
as added by section 153(b) of MIPPA, and amended by section 3401(h) of
the Patient Protection and Affordable Care Act (the Affordable Care
Act) (Pub. L. 111-148), established that beginning calendar year (CY)
2012, and each subsequent year, the Secretary of the Department of
Health and Human Services (the Secretary) shall annually increase
payment amounts by an ESRD market basket increase factor, reduced by
the productivity adjustment described in section 1886(b)(3)(B)(xi)(II)
of the Act. This rule proposes updates and revisions to the ESRD PPS
for CY 2019.
2. Coverage and Payment for Renal Dialysis Services Furnished to
Individuals With Acute Kidney Injury (AKI)
On June 29, 2015, the President signed the Trade Preferences
Extension Act of 2015 (TPEA) (Pub. L. 114-27). Section 808(a) of TPEA
amended section 1861(s)(2)(F) of the Act to provide coverage for renal
dialysis services furnished on or after January 1, 2017, by a renal
dialysis facility or a provider of services paid under section
1881(b)(14) of the Act to an individual with acute kidney injury (AKI).
Section 808(b) of the TPEA amended section 1834 of the Act by adding a
new subsection (r) that provides for payment for renal dialysis
services furnished by renal dialysis facilities or providers of
services paid under section 1881(b)(14) of the Act to individuals with
AKI at the ESRD PPS base rate beginning January 1, 2017. This rule
proposes to update the AKI payment rate for CY 2019.
3. End-Stage Renal Disease Quality Incentive Program (ESRD QIP)
The End-Stage Renal Disease Quality Incentive Program (ESRD QIP) is
authorized under section 1881(h) of the Social Security Act (the Act),
and is the most recent step in fostering improved patient outcomes by
establishing incentives for dialysis facilities to meet or exceed
performance standards established by the Centers for Medicare &
Medicaid Services (CMS). This proposed rule proposes a number of
updates for the ESRD QIP.
4. Changes to the DMEPOS Competitive Bidding Program and Fee Schedule
Payment Rules
i. Changes to the Durable Medical Equipment, Prosthetics,
Orthotics, and Supplies (DMEPOS) Competitive Bidding Program (CBP):
This rule proposes to revise the DMEPOS CBP by implementing lead item
pricing based on maximum winning bid amounts.
ii. Adjustments to DMEPOS Fee Schedule Amounts Based on Information
from the DMEPOS CBP: This rule proposes transitional fee schedule
adjustments for DMEPOS items and services furnished on or after January
1, 2019 in areas that are currently CBAs and in areas that are
currently not CBAs. Altogether, this rule proposes three different fee
schedule adjustment methodologies depending on the area in which the
items and services are furnished: (1) One fee schedule adjustment
methodology for DME items and services furnished on or after January 1,
2019, in areas that are currently CBAs, in the event of a gap in the
CBP; (2) another fee schedule adjustment methodology for items and
services furnished from January 1, 2019, through December 31, 2020, in
areas that are currently not CBAs, are not rural areas, and are located
in the contiguous United States (U.S.); and (3) another fee schedule
adjustment methodology for items and services furnished from January 1,
2019, through December 31, 2020, in areas that are currently not CBAs
and are either rural areas or non-contiguous areas.
iii. New Payment Classes for Oxygen and Oxygen Equipment and
Methodology for Ensuring Annual Budget Neutrality of the New Classes:
We are proposing to establish new, separate payment classes for
portable gaseous oxygen equipment, portable liquid oxygen equipment,
and high flow portable liquid oxygen contents. We are also proposing to
establish a new methodology for ensuring that all new payment classes
for oxygen and oxygen equipment are budget neutral in accordance with
section 1834(a)(9)(D)(ii) of the Act.
iv. Payment for Multi-Function Ventilators: This rule proposes to
establish new rules to address payment for certain ventilators that are
subject to the payment rules at section 1834(a)(3) of the Act but also
perform the functions of other items of durable medical equipment (DME)
that are subject to payment rules other than those at section
1834(a)(3) of the Act.
v. Including the Northern Mariana Islands in Future National Mail
Order CBPs: This rule proposes to amend
[[Page 34306]]
Sec. 414.210(g)(7) to indicate that beginning on or after the date
that contracts take effect for a national mail order competitive
bidding program that includes the Northern Mariana Islands, the fee
schedule adjustment methodology under this paragraph would no longer
apply.
B. Summary of the Major Provisions
1. ESRD PPS
Update to the ESRD PPS base rate for CY 2019: The proposed
CY 2019 ESRD PPS base rate is $235.82. This proposed amount reflects a
productivity-adjusted market basket increase as required by section
1881(b)(14)(F)(i)(I) of the Act (1.5 percent), and application of the
wage index budget-neutrality adjustment factor (0.999833), equaling
$235.82 ($232.37 x 1.0150 x 0.999833 = $235.82).
Annual update to the wage index: We adjust wage indices on
an annual basis using the most current hospital wage data and the
latest core-based statistical area (CBSA) delineations to account for
differing wage levels in areas in which ESRD facilities are located.
For CY 2019, we propose to increase the wage index floor, for areas
with wage index values below the floor, to 0.5000 and are proposing to
update the wage index values to the latest available data.
Update to the outlier policy: We are proposing to update
the outlier policy using the most current data, as well as update the
outlier services fixed-dollar loss (FDL) amounts for adult and
pediatric patients and Medicare Allowable Payment (MAP) amounts for
adult and pediatric patients for CY 2019 using CY 2017 claims data.
Based on the use of the latest available data, the proposed FDL amount
for pediatric beneficiaries would increase from $47.79 to $47.88 and
the MAP amount would decrease from $37.31 to $35.62, as compared to CY
2018 values. For adult beneficiaries, the proposed FDL amount would
decrease from $77.54 to $69.73 and the MAP amount would decrease from
$42.41 to $40.25. The 1 percent target for outlier payments was not
achieved in CY 2017. Outlier payments represented approximately 0.8
percent of total payments rather than 1.0 percent. We believe using CY
2017 claims data to update the outlier MAP and FDL amounts for CY 2019
would increase payments for ESRD beneficiaries requiring higher
resource utilization in accordance with a 1 percent outlier percentage.
We are also soliciting comment on whether we should expand the outlier
policy to include composite rate drugs and supplies.
Update to the Drug Designation Process: We are proposing
to update and revise our designation process and expand the
transitional drug add-on payment adjustment (TDAPA) to all new drugs,
not just those in new functional categories, and change the basis of
determining the TDAPA from pricing methodologies under section 1847A of
the Act, (which includes ASP +6) to ASP +0.
Update to the Low-Volume Payment Adjustment: We are
proposing revisions to the low-volume payment adjustment regulations to
allow for more flexibility with regard to attestation dates and cost
reporting requirements, as well as updating the requirements for
eligibility with respect to certain changes of ownership.
2. Payment for Renal Dialysis Services Furnished to Individuals With
AKI
We are proposing to update the AKI payment rate for CY 2019. The
proposed CY 2019 payment rate is $235.82, which is the same as the base
rate proposed under the ESRD PPS for CY 2019.
3. ESRD QIP
This proposed rule proposes a number of new requirements for the
ESRD QIP beginning with PY 2021, including the following:
We are proposing to update the ESRD QIP's measure removal
criteria, which we now refer to as ``factors'', so that they are more
closely aligned with the measure removal factors we have adopted, or
proposed to adopt for other quality reporting and pay for performance
programs, as well as the priorities we have adopted as part of the
Meaningful Measures Initiative.
We are proposing to remove four measures: Healthcare
Personnel Influenza Vaccination, Pain Assessment and Follow-Up, Anemia
Management, and Serum Phosphorus. Removal of these measures would align
the ESRD QIP measure set more closely with the priorities we have
adopted as part of our Meaningful Measures Initiative.
We are proposing to make several changes to the domains
and domain weights that we use for purposes of our scoring methodology
to more closely align the ESRD QIP with the priorities we have adopted
as part of our Meaningful Measures Initiative. We are proposing to
remove the Reporting Domain from the Program and to move each reporting
measure currently in that domain (and not being proposed for removal)
to another domain that is better aligned with the focus area of that
measure. Additionally, we are proposing that the Patient and Family
Engagement/Care Coordination Subdomain and the Clinical Care Subdomain,
both of which are currently subdomains in the Clinical Measure Domain,
would become their own domains. As a result, the ESRD QIP would be
scored using four domains instead of three. Furthermore, we are
proposing new domain and measure weights that better align with the
priority areas we have adopted as part of our Meaningful Measures
Initiative.
We are proposing to update our policy governing when newly
opened facilities must start reporting ESRD QIP data. The proposed
policy would require facilities to begin reporting ESRD QIP data
beginning with the month that begins 4 months after the month during
which the CMS Certification Number (CCN) becomes effective (for
example, a facility with a CCN effective date of January 15th would be
required to begin reporting ESRD QIP data collected in May). The
proposed policy would provide facilities with a longer time period than
they are given now to learn how to properly report ESRD QIP data.
We are proposing to increase the number of facilities that
we select for validation under the National Healthcare Safety Network
(NHSN) data validation study from 35 to 150 facilities, and to increase
the number of records that each selected facility must submit to 20
records for each of the first 2 quarters of CY 2019 (for a total of 40
records). This proposal would improve the overall accuracy of the
study.
We are proposing to convert the current Consolidated Renal
Operations in a Web-Enabled Network (CROWNWeb) data validation study
into a permanent program requirement using the methodology we first
adopted for PY 2016 because an analysis demonstrated that this
methodology produced reliable validation results. We are also proposing
that the 10 point deduction for failure to comply with the data
request, which was first adopted for PY 2017, would become a permanent
program requirement.
This proposed rule also proposes a number of new requirements for
the ESRD QIP beginning with PY 2022, including the following:
We are proposing to adopt the Percentage of Prevalent
Patients Waitlisted (PPPW) Measure and to place it in the proposed Care
Coordination Measure Domain (NQF #2988).
We are proposing to adopt the Medication Reconciliation
for Patients Receiving Care at Dialysis Facilities (MedRec) Measure
(NQF #2988) and to place it in the Safety Measure Domain.
[[Page 34307]]
We are proposing to increase the number of facilities that
we select for validation under the NHSN data validation study from 150
to 300 facilities. This proposal would further improve the overall
accuracy of the study.
This proposed rule also proposes to set forth new requirements for
the ESRD QIP beginning with PY 2024, including the following:
We are proposing to adopt the Standardized First Kidney
Transplant Waitlist Ratio for Incident Dialysis Patients (SWR) Measure
and to place it within the proposed Patient and Family Engagement/Care
Coordination Domain as a second measure in the proposed Transplant
measure topic.
Finally, we are proposing to codify in our regulations several
previously finalized requirements for the ESRD QIP by revising Sec.
413.177 and adopting a new Sec. 413.178.
4. Changes to the DMEPOS Competitive Bidding Program and Fee Schedule
Payment Rules
i. Changes to the Durable Medical Equipment, Prosthetics,
Orthotics, and Supplies (DMEPOS) Competitive Bidding Program (CBP): We
are proposing to revise the DMEPOS CBP by implementing lead item
pricing based on maximum winning bid amounts. We are proposing to
revise the definition of bid to mean an offer to furnish an item or
items for a particular price and time period that includes, where
appropriate, any services that are directly related to the furnishing
of the item or items. We are proposing to revise the definition of
composite bid to mean the bid submitted by the supplier for the lead
item in the product category. We are proposing to revise the definition
of lead item to mean the item in a product category with multiple items
with the highest total nationwide Medicare allowed charges of any item
in the product category prior to each competition.
ii. Adjustments to DMEPOS Fee Schedule Amounts Based on Information
from the DMEPOS CBP: We are proposing transitional fee schedule
adjustments for DMEPOS items and services furnished on or after January
1, 2019 in areas that are currently CBAs and in areas that are
currently not CBAs. Altogether, this rule proposes three different fee
schedule adjustment methodologies depending on the area in which the
items and services are furnished: (1) One fee schedule adjustment
methodology for DME items and services furnished on or after January 1,
2019, in areas that are currently CBAs, in the event of a gap in the
CBP; (2) another fee schedule adjustment methodology for items and
services furnished from January 1, 2019, through December 31, 2020, in
areas that are currently not CBAs, are not rural areas, and are located
in the contiguous United States (U.S.); and (3) another fee schedule
adjustment methodology for items and services furnished from January 1,
2019, through December 31, 2020, in areas that are currently not CBAs
and are either rural areas or non-contiguous areas.
iii. New Payment Classes for Oxygen and Oxygen Equipment and
Methodology for Ensuring Annual Budget Neutrality of the New Classes:
We are proposing to establish new, separate payment classes for
portable gaseous oxygen equipment, portable liquid oxygen equipment,
and high flow portable liquid oxygen contents. We are also proposing to
establish a new methodology for ensuring that all new payment classes
for oxygen and oxygen equipment are budget neutral in accordance with
section 1834(a)(9)(D)(ii) of the Act.
iv. Payment for Multi-Function Ventilators: We are proposing to
establish new rules to address payment for certain ventilators that are
subject to the payment rules at section 1834(a)(3) of the Act but also
perform the functions of other items of durable medical equipment (DME)
that are subject to payment rules other than those at section
1834(a)(3) of the Act.
v. Including the Northern Mariana Islands in Future National Mail
Order CBPs: We intend to include the Northern Mariana Islands under
national mail order competitive bidding programs that become effective
on or after January 1, 2019, so we are proposing to amend Sec.
414.210(g)(7) to indicate that beginning on or after the date that
contracts take effect for a national mail order competitive bidding
program that includes the Northern Mariana Islands, the fee schedule
adjustment methodology under this paragraph would no longer apply.
C. Summary of Costs and Benefits
In section XVI of this proposed rule, we set forth a detailed
analysis of the impacts that the proposed changes would have on
affected entities and beneficiaries. The impacts include the following:
1. Impacts of the Proposed ESRD PPS
The impact chart in section XV of this proposed rule displays the
estimated change in payments to ESRD facilities in CY 2019 compared to
estimated payments in CY 2018. The overall impact of the proposed CY
2019 changes is projected to be a 1.7 percent increase in payments.
Hospital-based ESRD facilities have an estimated 1.8 percent increase
in payments compared with freestanding facilities with an estimated 1.7
percent increase.
We estimate that the aggregate ESRD PPS expenditures would increase
by approximately $220 million in CY 2019 compared to CY 2018. This
reflects a $190 million increase from the payment rate update and a $30
million increase due to the updates to the outlier threshold amounts.
As a result of the projected 1.7 percent overall payment increase, we
estimate that there would be an increase in beneficiary co-insurance
payments of 1.7 percent in CY 2019, which translates to approximately
$60 million.
2. Impacts of the Proposed Payment for Renal Dialysis Services
Furnished to Individuals With AKI
The impact chart in section XVI of this proposed rule displays the
estimated change in proposed payments to ESRD facilities in CY 2019
compared to estimated payments in CY 2018. The overall impact of the
proposed CY 2019 changes is projected to be a 1.5 percent increase in
payments. Hospital-based ESRD facilities and freestanding facilities
both have an estimated 1.5 percent increase in payments.
We estimate that the aggregate payments made to ESRD facilities for
renal dialysis services furnished to AKI patients at the proposed CY
2019 ESRD PPS base rate would increase by less than $1 million in CY
2019 compared to CY 2018.
3. Impacts of the Proposed ESRD QIP
We estimate that the overall economic impact of the ESRD QIP would
be approximately $219 million in PY 2021. The $219 million figure for
PY 2021 includes costs associated with the collection of information
requirements, which we estimate would be approximately $181 million.
For PY 2022, we estimate that ESRD facilities would experience an
overall economic impact of approximately $240 million as a result of
the PY 2022 ESRD QIP. The $240 million figure for PY 2022 includes
costs associated with the collection of information requirements, which
we estimate would be approximately $202 million. Our proposal to add
the SWR measure to the ESRD QIP measure set in PY 2024 would not result
in additional costs associated with the collection of information
requirements because the measure does not use data reported to
CROWNWeb.
[[Page 34308]]
4. Impacts of the Proposed Changes to the DMEPOS Competitive Bidding
Program and Fee Schedule Payment Rules
i. Changes to the Durable Medical Equipment, Prosthetics, Orthotics,
and Supplies (DMEPOS) Competitive Bidding Program (CBP)
This rule proposes to base single payment amounts on the maximum
winning bid and to implement lead item pricing in the Medicare DMEPOS
Competitive Bidding Program. The impacts of the rule are estimated by
rounding to the nearer 5 million dollars and are expected to cost $10
million in Medicare benefit payments for the 5-year period beginning
January 1, 2019 and ending September 30, 2023. The impacts on
beneficiary cost sharing is roughly $3 million over this 5-year period.
The Medicaid impacts for cost sharing for the beneficiaries enrolled in
the Medicare Part B and Medicaid programs for the federal and state
portions are assumed to both be $0 million.
ii. Adjustments to DMEPOS Fee Schedule Amounts Based on Information
From the DMEPOS CBP
This rule proposes transitional fee schedule adjustments for DMEPOS
items and services furnished in areas that are currently CBAs and in
areas currently not CBAs on or after January 1, 2019. Altogether, this
rule proposes three different fee schedule adjustment methodologies
depending on the area in which the items and services are furnished:
(1) One fee schedule adjustment methodology for DME items and services
furnished on or after January 1, 2019, in areas that are currently
CBAs, in the event of a gap in the CBP; (2) another fee schedule
adjustment methodology for items and services furnished from January 1,
2019, through December 31, 2020, in areas that are currently not CBAs,
are not rural areas, and are located in the contiguous United States
(U.S.); and (3) another fee schedule adjustment methodology for items
and services furnished from January 1, 2019, through December 31, 2020,
in areas that are currently not CBAs and are either rural areas or non-
contiguous areas.
The estimated impacts for this part of the rule are calculated
against a baseline that assumes payments for items furnished in CBAs
and non-CBAs are made consistent with the rules in place as of January
1, 2018, which establish payment for items furnished in CBAs based on
fee schedule amounts fully adjusted in accordance with current
regulations at 42 CFR 414.210(g). The impacts are expected to cost
$1,050 million dollars in Medicare benefit payments and $260 million
dollars in Medicare beneficiary cost sharing for the 2-year period
beginning January 1, 2019 and ending December 31, 2020. The Medicaid
impacts for cost sharing for the beneficiaries enrolled in the Medicare
Part B and Medicaid programs for the federal and state portions are
assumed to be $45 million dollars and $30 million dollars,
respectively. Section 503 of the Consolidated Appropriations Act of
2016 and section 5002 of the Cures Act, added section 1903(i)(27) to
the Act, which prohibits federal Medicaid reimbursement to states for
certain DME expenditures that are, in the aggregate, in excess of what
Medicare would have paid for such items. The requirement took effect
January 1, 2018. We note that the costs for the Medicaid program and
beneficiaries could be higher depending on how many state agencies
adopt the higher Medicare adjusted fee schedule amounts for rural areas
for use in paying claims under the Medicaid program. We are not able to
quantify this impact.
iii. New Payment Classes for Oxygen and Oxygen Equipment and
Methodology for Ensuring Annual Budget Neutrality of the New Classes
This rule proposes to establish new payment classes for oxygen and
oxygen equipment and is estimated to be budget neutral to the Medicare
program and its beneficiaries.
iv. Payment for Multi-Function Ventilators
This rule proposes to establish new rules to address payment for
certain ventilators that are subject to the payment rules at section
1834(a)(3) of the Act but also perform the functions of other items of
durable medical equipment (DME) that are subject to payment rules other
than those at section 1834(a)(3) of the Act. The impacts are estimated
by rounding to the nearer 5 million dollars and are expected to cost
$15 million in Medicare benefit payments and $0 million in Medicare
beneficiary cost sharing for the 5-year period beginning January 1,
2019 and ending September 30, 2023. The Medicaid impacts for cost
sharing for the beneficiaries enrolled in the Medicare Part B and
Medicaid programs for the federal and state portions are assumed to
both be $0 million.
v. Including the Northern Mariana Islands in Future National Mail Order
CBPs
This change would not have a fiscal impact.
II. Calendar Year (CY) 2019 End-Stage Renal Disease (ESRD) Prospective
Payment System (PPS)
A. Background
1. Statutory Background
On January 1, 2011, we implemented the End-Stage Renal Disease
(ESRD) Prospective Payment System (PPS), a case-mix adjusted bundled
PPS for renal dialysis services furnished by ESRD facilities, as
required by section 1881(b)(14) of the Social Security Act (the Act),
as added by section 153(b) of the Medicare Improvements for Patients
and Providers Act of 2008 (MIPPA). Section 1881(b)(14)(F) of the Act,
as added by section 153(b) of MIPPA and amended by section 3401(h) of
the Patient Protection and Affordable Care Act (the Affordable Care
Act), established that beginning with calendar year (CY) 2012, and each
subsequent year, the Secretary of the Department of Health and Human
Services (the Secretary) shall annually increase payment amounts by an
ESRD market basket increase factor, reduced by the productivity
adjustment described in section 1886(b)(3)(B)(xi)(II) of the Act.
Section 632 of the American Taxpayer Relief Act of 2012 (ATRA)
(Pub. L. 112-240) included several provisions that apply to the ESRD
PPS. Section 632(a) of ATRA added section 1881(b)(14)(I) to the Act,
which required the Secretary, by comparing per patient utilization data
from 2007 with such data from 2012, to reduce the single payment for
renal dialysis services furnished on or after January 1, 2014 to
reflect the Secretary's estimate of the change in the utilization of
ESRD-related drugs and biologicals (excluding oral-only ESRD-related
drugs). Consistent with this requirement, in the CY 2014 ESRD PPS final
rule we finalized $29.93 as the total drug utilization reduction and
finalized a policy to implement the amount over a 3- to 4-year
transition period (78 FR 72161 through 72170).
Section 632(b) of ATRA prohibited the Secretary from paying for
oral-only ESRD-related drugs and biologicals under the ESRD PPS prior
to January 1, 2016. And section 632(c) of ATRA required the Secretary,
by no later than January 1, 2016, to analyze the case-mix payment
adjustments under section 1881(b)(14)(D)(i) of the Act and make
appropriate revisions to those adjustments.
[[Page 34309]]
On April 1, 2014, the Protecting Access to Medicare Act of 2014
(PAMA) (Pub. L. 113-93) was enacted. Section 217 of PAMA included
several provisions that apply to the ESRD PPS. Specifically, sections
217(b)(1) and (2) of PAMA amended sections 1881(b)(14)(F) and (I) of
the Act and replaced the drug utilization adjustment that was finalized
in the CY 2014 ESRD PPS final rule (78 FR 72161 through 72170) with
specific provisions that dictated the market basket update for CY 2015
(0.0 percent) and how the market basket should be reduced in CY 2016
through CY 2018.
Section 217(a)(1) of PAMA amended section 632(b)(1) of ATRA to
provide that the Secretary may not pay for oral-only ESRD-related drugs
under the ESRD PPS prior to January 1, 2024. Section 217(a)(2) of PAMA
further amended section 632(b)(1) of ATRA by requiring that in
establishing payment for oral-only drugs under the ESRD PPS, the
Secretary must use data from the most recent year available. Section
217(c) of PAMA provided that as part of the CY 2016 ESRD PPS
rulemaking, the Secretary shall establish a process for (1) determining
when a product is no longer an oral-only drug; and (2) including new
injectable and intravenous products into the ESRD PPS bundled payment.
Finally, on December 19, 2014, the President signed the Stephen
Beck, Jr., Achieving a Better Life Experience Act of 2014 (ABLE) (Pub.
L. 113-295). Section 204 of ABLE amended section 632(b)(1) of ATRA, as
amended by section 217(a)(1) of PAMA, to provide that payment for oral-
only renal dialysis services cannot be made under the ESRD PPS bundled
payment prior to January 1, 2025.
2. System for Payment of Renal Dialysis Services
Under the ESRD PPS, a single, per-treatment payment is made to an
ESRD facility for all of the renal dialysis services defined in section
1881(b)(14)(B) of the Act and furnished to individuals for the
treatment of ESRD in the ESRD facility or in a patient's home. We have
codified our definitions of renal dialysis services at 42 CFR 413.171,
which is in 42 CFR part 413, subpart H, along with other ESRD PPS
payment policies. The ESRD PPS base rate is adjusted for
characteristics of both adult and pediatric patients and accounts for
patient case-mix variability. The adult case-mix adjusters include five
categories of age, body surface area, low body mass index, onset of
dialysis, four comorbidity categories, and pediatric patient-level
adjusters consisting of two age categories and two dialysis modalities
(Sec. 413.235(a) and (b)).
The ESRD PPS provides for three facility-level adjustments. The
first payment adjustment accounts for ESRD facilities furnishing a low
volume of dialysis treatments (Sec. 413.232). The second adjustment
reflects differences in area wage levels developed from core based
statistical areas (CBSAs) (Sec. 413.231). The third payment adjustment
accounts for ESRD facilities furnishing renal dialysis services in a
rural area (Sec. 413.233).
The ESRD PPS provides a training add-on for home and self-dialysis
modalities (Sec. 413.235(c)) and an additional payment for high cost
outliers due to unusual variations in the type or amount of medically
necessary care when applicable (Sec. 413.237).
The ESRD PPS also provides for a transitional drug add-on payment
adjustment (TDAPA) to pay for a new injectable or intravenous product
that is not considered included in the ESRD PPS bundled payment,
meaning a product that is used to treat or manage a condition for which
there is not an existing ESRD PPS functional category (Sec. 413.234).
The ESRD PPS functional categories represent distinct groupings of
drugs or biologicals, as determined by CMS, whose end action effect is
the treatment or management of a condition or conditions associated
with ESRD. New injectable or intravenous products that are not included
in a functional category in the ESRD PPS base rate are paid for using
the TDAPA for a minimum of 2 years, until sufficient claims data for
rate setting analysis are available. At that point, utilization would
be reviewed and the ESRD PPS base rate modified, if appropriate, to
account for these products. The TDAPA is based on pricing methodologies
under section 1847A of the Act (Sec. 413.234(c)).
3. Updates to the ESRD PPS
Policy changes to the ESRD PPS are proposed and finalized annually
in the Federal Register. The CY 2011 ESRD PPS final rule was published
on August 12, 2010 in the Federal Register (75 FR 49030 through 49214).
That rule implemented the ESRD PPS beginning on January 1, 2011 in
accordance with section 1881(b)(14) of the Act, as added by section
153(b) of MIPPA, over a 4-year transition period. Since the
implementation of the ESRD PPS, we have published annual rules to make
routine updates, policy changes, and clarifications.
On November 1, 2017, we published a final rule in the Federal
Register titled, ``Medicare Program; End-Stage Renal Disease
Prospective Payment System, Payment for Renal Dialysis Services
Furnished to Individuals With Acute Kidney Injury, and End-Stage Renal
Disease Quality Incentive Program'' (82 FR 50738 through 50797)
(hereinafter referred to as the CY 2018 ESRD PPS final rule). In that
rule, we updated the ESRD PPS base rate for CY 2018, the wage index,
and the outlier policy, and pricing outlier drugs. For further detailed
information regarding these updates, see 82 FR 50738.
B. Provisions of the Proposed Rule
1. Drug Designation Process
a. Protecting Access to Medicare Act of 2014
Section 217(c) of PAMA requires the Secretary to implement a drug
designation process for: (1) Determining when a product is no longer an
oral-only drug; and (2) including new injectable and intravenous
products into the bundled payment under such system. Therefore, in the
CY 2016 ESRD PPS final rule (80 FR 69013 through 69027), we finalized a
process that allows us to recognize when an oral-only renal dialysis
service drug or biological is no longer oral only and a process to
include new injectable and intravenous products into the ESRD PPS
bundled payment, and when appropriate, modify the ESRD PPS payment
amount.
In accordance with section 217(c)(1) of PAMA, we established Sec.
413.234(d), which provides that an oral-only drug is no longer
considered oral-only if an injectable or other form of administration
of the oral-only drug is approved by the Food and Drug Administration
(FDA). Additionally, in accordance with section 217(c)(2) of PAMA, we
codified the drug designation process at Sec. 413.234(b). As discussed
in the CY 2016 ESRD PPS final rule (80 FR 69017 through 69022),
effective January 1, 2016, if a new injectable or intravenous product
is used to treat or manage a condition for which there is an ESRD PPS
functional category, the new injectable or intravenous product is
considered included in the ESRD PPS bundled payment and no separate
payment is available. The new injectable or intravenous product
qualifies as an outlier service. The ESRD bundled market basket updates
the PPS base rate annually and accounts for price changes of the drugs
and biologicals reflected in the base rate.
As we discuss in Sec. 413.234(b)(2), if the new injectable or
intravenous product is used to treat or manage a condition for which
there is not an
[[Page 34310]]
ESRD PPS functional category, the new injectable or intravenous product
is not considered included in the ESRD PPS bundled payment and the drug
is evaluated. First, an existing ESRD PPS functional category is
revised or a new ESRD PPS functional category is added for the
condition that the new injectable or intravenous product is used to
treat or manage. Next, the new injectable or intravenous product is
paid for using the transitional drug add-on payment adjustment (TDAPA).
Then, the new injectable or intravenous product is added to the ESRD
PPS bundled payment following payment of the TDAPA.
Under Sec. 413.234(c), the TDAPA is based on pricing methodologies
under section 1847A of the Act and is paid until sufficient claims data
for rate setting analysis for the new injectable or intravenous product
are available, but not for less than 2 years. During the time a new
injectable or intravenous product is eligible for the TDAPA, it is not
eligible as an outlier service. Following payment of the TDAPA, the
ESRD PPS base rate would be modified, if appropriate, to account for
the new injectable or intravenous product in the ESRD PPS bundled
payment.
b. Renal Dialysis Drugs and Biologicals Reflected in the Base Rate
(ESRD PPS Functional Categories)
As discussed above, in the CY 2016 ESRD PPS final rule (80 FR
69024), we finalized the drug designation process as being dependent
upon the functional categories, consistent with our policy since the
implementation of the PPS in 2011. We provide a detailed discussion (80
FR 69013 through 69015) on how we accounted for renal dialysis drugs
and biologicals in the ESRD PPS base rate since its implementation on
January 1, 2011. In the CY 2011 ESRD PPS final rule (75 FR 49044
through 49053) we explained that in order to identify drugs and
biologicals that are used for the treatment of ESRD and therefore meet
the definition of renal dialysis services (defined at Sec. 413.171)
that would be included in the ESRD PPS base rate, we performed an
extensive analysis of Medicare payments for Part B drugs and
biologicals billed on ESRD claims and evaluated each drug and
biological to identify its category by indication or mode of action.
Categorizing drugs and biologicals on the basis of drug action allows
us to determine which categories (and therefore, the drugs and
biologicals within the categories) would be considered used for the
treatment of ESRD (75 FR 49047). We grouped the injectable and
intravenous drugs and biologicals into functional categories based on
their action (80 FR 69014). This was done with the purpose of adding
new drugs or biologicals with the same functions to the ESRD PPS
bundled payment as expeditiously as possible after the drugs become
commercially available so that beneficiaries have access to them. We
finalized the definition of an ESRD PPS functional category in Sec.
413.234(a) as a distinct grouping of drugs or biologicals, as
determined by CMS, whose end action effect is the treatment or
management of a condition or conditions associated with ESRD.
Using the functional categorization approach, we established
categories of drugs and biologicals that are not considered used for
the treatment of ESRD, categories of drugs and biologicals that are
always considered used for the treatment of ESRD, and categories of
drugs and biologicals that may be used for the treatment of ESRD but
are also commonly used to treat other conditions (75 FR 49049 through
49051). The drugs and biologicals that were identified as not used for
the treatment of ESRD were not considered renal dialysis services and
were not included in computing the base rate. The functional categories
of drugs and biologicals that are not included in the base rate can be
found in the CY 2011 ESRD PPS final rule (75 FR 49049). The functional
categories of drugs and biologicals that were always and may be
considered used for the treatment of ESRD were considered renal
dialysis services and were included in computing the base rate.
Subsequent to the CY 2011 discussion about the always and may be
functional categories (75 FR 49050 through 49051), we also discussed
these categories in the CY 2016 ESRD PPS final rule (80 FR 69015
through 69018) and clarified the medical conditions or symptoms that
indicate the drugs are used for the treatment of ESRD. See Table 1.
Table 1--ESRD PPS Functional Categories
----------------------------------------------------------------------------------------------------------------
Category Rationale for association
----------------------------------------------------------------------------------------------------------------
Access Management............................................ Drugs used to ensure access by removing clots
from grafts, reverse anticoagulation if too much
medication is given, and provide anesthetic for
access placement.
Anemia Management............................................ Drugs used to stimulate red blood cell production
and/or treat or prevent anemia. This category
includes ESAs as well as iron.
Bone and Mineral Metabolism.................................. Drugs used to prevent/treat bone disease
secondary to dialysis. This category includes
phosphate binders and calcimimetics.
Cellular Management.......................................... Drugs used for deficiencies of naturally
occurring substances needed for cellular
management. This category includes
levocarnitine.
Antiemetic................................................... Used to prevent or treat nausea and vomiting
related to dialysis. Excludes antiemetics used
for purposes unrelated to dialysis, such as
those used in conjunction with chemotherapy as
these are covered under a separate benefit
category.
Anti-infectives.............................................. Used to treat vascular access-related and
peritonitis infections. May include
antibacterial and antifungal drugs.
Antipruritic................................................. Drugs in this classification have multiple
clinical indications. Use within an ESRD
functional category includes treatment for
itching related to dialysis.
Anxiolytic................................................... Drugs in this classification have multiple
actions. Use within an ESRD functional category
includes treatment of restless leg syndrome
related to dialysis.
Excess Fluid Management...................................... Drug/fluids used to treat fluid excess/overload.
Fluid and Electrolyte Management Including Volume Expanders.. Intravenous drugs/fluids used to treat fluid and
electrolyte needs.
Pain Management.............................................. Drugs used to treat vascular access site pain and
to treat pain medication overdose, when the
overdose is related to medication provided to
treat vascular access site pain.
----------------------------------------------------------------------------------------------------------------
[[Page 34311]]
In computing the ESRD PPS base rate, we used the payments in 2007
for drugs and biologicals included in the always functional categories,
that is, the injectable forms (previously covered under Part B) and
oral or other forms of administration (previously covered under Part D)
(75 FR 49050). For the oral or other forms of administration for those
drugs that are always considered used for the treatment of ESRD, we
determined that there were oral or other forms of injectable drugs only
for the bone and mineral metabolism and cellular management categories.
Therefore, we included the payments made under Part D for oral vitamin
D (calcitriol, doxercalciferol and paricalcitol) and oral levocarnitine
in our computation of the base rate (75 FR 49042).
In the CY 2011 ESRD PPS final rule (75 FR 49050 through 49051), we
explained that drugs and biologicals that may be used for the treatment
of ESRD may also be commonly used to treat other conditions. We used
the payments made under Part B in 2007 for these drugs in computing the
ESRD PPS base rate, which only included payments made for the
injectable version of the drugs. We excluded the Part D payments for
the oral (or other form of administration) substitutes of the drugs and
biologicals described above because they were not furnished or billed
by ESRD facilities or furnished in conjunction with dialysis treatments
(75 FR 49051). For those reasons, we presumed that these drugs and
biologicals that were paid under Part D were prescribed for reasons
other than for the treatment of ESRD. However, we noted that if these
drugs and biologicals paid under Part D are furnished by an ESRD
facility for the treatment of ESRD, they would be considered renal
dialysis services and not be billed or paid under Part D.
Table 19 of the CY 2011 ESRD PPS final rule (75 FR 49075) provides
the Medicare allowable payments for all of the components of the ESRD
PPS base rate for CY 2007, inflated to CY 2009, including payments for
drugs and biologicals and the amount each contributed to the base rate,
except for the oral-only renal dialysis drugs where payment under the
ESRD PPS has been delayed. A list of the specific Part B drugs and
biologicals that were included in the final ESRD PPS base rate is
located in Table C of the Appendix of the CY 2011 ESRD PPS final rule
(75 FR 49205 through 49209). A list of the former Part D drugs that
were included in the final ESRD PPS base rate is located in Table D of
the Appendix of that rule (75 FR 49210). As discussed in section II.3.d
of this proposed rule, the ESRD PPS base rate is updated annually by
the ESRD bundled (ESRDB) market basket.
c. Section 1847A of the Social Security Act (the Act) and Average Sales
Price (ASP) Methodology Under the ESRD PPS
In the CY 2005 Physician Fee Schedule (PFS) final rule, published
on November 15, 2004 (69 FR 66299 through 66302) in the Federal
Register, we discussed that section 303(c) of the Medicare Prescription
Drug, Improvement, and Modernization Act of 2003 (MMA) added section
1847A to the Act and established the Average Sales Price (ASP)
methodology for certain drugs and biologicals not paid on a cost or
prospective payment basis furnished on or after January 1, 2005. The
ASP methodology is based on quarterly data submitted to CMS by drug
manufacturers. The ASP amount is based on the manufacturer's sales to
all purchasers (with certain exceptions) net of all manufacturer
rebates, discounts, and price concessions. Sales that are nominal in
amount are exempted from the ASP calculation, as are sales excluded
from the determination of ``best price'' in the Medicaid drug rebate
program. Each drug with a healthcare common procedure coding system
(HCPCS) code has a separately calculated ASP. To allow time to submit
and calculate these data, the ASP is updated with a two-quarter lag.\1\
---------------------------------------------------------------------------
\1\ Sheingold, S., Marchetti-Bowick, E., Nguyen, N., Yabrof,
K.R. (2016, March). Medicare Part B Drugs: Pricing and Incentives.
Retrieved from https://aspe.hhs.gov/system/files/pdf/187581/PartBDrug.pdf.
---------------------------------------------------------------------------
Section 1847A(b)(1)(A) of the Act requires that the Medicare
payment allowance for a multiple source drug included within the same
HCPCS code be equal to 106 percent of the ASP for the HCPCS code.
Section 1847A(b)(1)(B) of the Act also requires that the Medicare
payment allowance for a single source drug HCPCS code be equal to the
lesser of 106 percent of the ASP for the HCPCS code or 106 percent of
the wholesale acquisition cost (WAC) of the HCPCS code.
Section 1847A(c)(4) of the Act further provides a payment
methodology in cases were the ASP is unavailable. Specifically Pub.
100-04, Chapter 17, section 20 (https://www.cms.gov/Regulations-and-Guidance/Guidance/Manuals/downloads/;clm104c17.pdf) titled ``Payment
Allowance Limit for Drugs and Biologicals Not Paid on a Cost or
Prospective Payment Basis'', provides guidance on how Medicare Part B
pays for drugs and biologicals under section 1847A of the Act and notes
that, in the case of a drug or biological during an initial period (not
to exceed a full calendar quarter) in which data on the prices for
sales for the drug or biological are not sufficiently available from
the manufacturer to compute an average sales price for the drug or
biological, the Secretary may determine the amount payable under this
section for the drug or biological based on--the wholesale acquisition
cost; or the methodologies in effect under this part on November 1,
2003, to determine payment amounts for drugs or biologicals. This
publication provides guidance on how Medicare Part B pays for drugs and
biologicals under section 1847A of the Act.
In the CY 2018 ESRD PPS final rule (82 FR 50742 through 50743), we
discussed how we have used the ASP methodology since the implementation
of the ESRD PPS when pricing ESRD-related drugs and biologicals
previously paid separately under Part B (prior to the ESRD PPS) for
purposes of ESRD PPS policies or calculations. We adopted Sec.
413.234(c), which requires that the TDAPA is based on the pricing
methodologies available under section 1847A of the Act (including 106
percent of ASP). We also use such pricing methodologies for new and
existing injectable drugs or biologicals that qualify as an outlier
service.
d. Proposed Revision to the Drug Designation Process Regulation
As noted above, in prior rulemakings we addressed how new drugs and
biologicals are implemented under the ESRD PPS and how we have
accounted for renal dialysis drugs and biologicals in the ESRD PPS base
rate since its implementation on January 1, 2011. Accordingly, the drug
designation process we finalized is dependent upon the functional
categories we developed and is consistent with the policy we have
followed since the inception of the ESRD PPS. However, since PAMA only
required the Secretary to establish a process for including new
injectable and intravenous drugs and biologicals, such new products
were the primary focus of the regulation we adopted at Sec. 413.234,
rather than codifying our full policy for other renal dialysis drugs,
such as drugs and biologicals with other forms of administration,
including, oral, that by law are included under the ESRD PPS (though
oral-only renal dialysis drugs are required to remain outside of the
ESRD PPS bundle until CY 2025).
In this proposed rule, we propose to revise the drug designation
process regulations at Sec. 413.234 to reflect that the process
applies for all new renal
[[Page 34312]]
dialysis drugs and biologicals that are approved regardless of the form
or route of administration, that is, new injectable, intravenous, oral,
or other route of administration, or dosage form. We note that for
purposes of the ESRD PPS drug designation process, use of the term form
of administration is used interchangeably with route of administration.
We are proposing these revisions so that the regulation reflects our
long standing policy for all new renal dialysis drugs and biologicals,
regardless of the form or route of administration, with the exception
of oral-only drugs. Specifically, we propose to replace the definition
of ``new injectable or intravenous product'' at Sec. 413.234(a), ``an
injectable, intravenous, oral or other form or route of administration
drug or biological that is used to treat or manage a condition(s)
associated with ESRD,'' with a definition for ``new renal dialysis drug
or biological,'' to encompass the broader scope of the drug designation
process. Under this definition, a new renal dialysis drug or biological
``must be approved by the Food and Drug Administration (FDA) on or
after January 1, 2019 under section 505 of the Federal Food, Drug, and
Cosmetic Act or section 351 of the Public Health Service Act,
commercially available, have an HCPCS application submitted in
accordance with the official HCPCS Level II coding procedures, and
designated by CMS as a renal dialysis service under Sec. 413.171.
Oral-only drugs or biologicals are excluded until January 1, 2025.''
In our proposal to replace the definition of ``new injectable or
intravenous product'' in Sec. 413.234(a) with the proposed definition
of ``new renal dialysis drug or biological,'' we have included the
clause, ``have an HCPCS application submitted in accordance with the
official HCPCS Level II coding procedures.'' We note that this would be
a change from the existing policy of requiring that the new product be
assigned an HCPCS code. We are proposing that new renal dialysis
injectable or intravenous products are no longer required to be
assigned an HCPCS code before the TDAPA can apply, instead we would
require that an application has been submitted in accordance with the
Level II HCPCS coding procedures. This would allow the application of
the TDAPA to the ESRD PPS base rate to happen more quickly than under
our current process wherein a lag that occurs when a drug or biological
is approved but is waiting for the issuance of a code. Information
regarding the HCPCS process is available on the CMS website at https://www.cms.gov/Medicare/;Coding/MedHCPCSGenInfo/
Application_Form_and_Instructions.html.
This proposed definition would also address prior concerns that we
narrowly defined ``new'' in the context of the functional categories
(that is, the drug designation process primarily addresses ``new''
drugs that fall outside of the functional categories for purposes of
being newly categorized and eligible for the TDAPA). As noted in
section II.B.1.f of this proposed rule, even though we are maintaining
the functional categories to determine whether or not to potentially
adjust or modify the ESRD PPS base rate (that is, those renal dialysis
drugs and biologicals that do not fall within an existing category), we
are proposing to expand the TDAPA policy based on whether the renal
dialysis drug or biological is new, that is, any renal dialysis drug or
biological newly approved on or after January 1, 2019.
We solicit comment on the proposed revisions to Sec. 413.234(a),
(b), and (c).
e. Basis for Expansion of the TDAPA Eligibility Criteria
In the CY 2016 ESRD PPS final rule (80 FR 69017 through 69024), we
acknowledged that there are unique situations identified by the
commenters during that rulemaking regarding the eligibility criteria
for the TDAPA. For example, commenters stated that they believed the
drug designation process was excessive, could hinder innovation,
prevent new treatment options from entering the marketplace, and CMS
should contemplate the cost of new drugs and biologicals that fall
within the functional categories. In the following paragraphs we have
summarized key concerns commenters have raised. We indicated in the CY
2016 ESRD PPS final rule that we anticipated addressing these
situations in future rulemaking and stated that we planned to consider
the issues of ESRD facility resource use, supporting novel therapies,
and balancing the risk of including new drugs for both CMS and the
dialysis facilities.
In the CY 2016 ESRD PPS final rule (80 FR 69017 through 69024),
commenters seemed concerned about the cost of new drugs that fit into
the functional categories, rather than the process of adding new drugs
to existing categories.
In the CY 2016 ESRD PPS final rule (80 FR 69020), a drug
manufacturer suggested that in order to promote access to new therapies
and encourage innovation in ESRD care, the TDAPA should apply to all
new drugs not just those drugs that are used to treat or manage a
condition for which we have not adopted a functional category. They
pointed out that the functional categories are very comprehensive and
capture every known condition related to ESRD. They indicated that
under the proposed approach, CMS would make no additional payment
regardless of whether the drug has a novel mechanism of action, new FDA
approval, or other distinguishing characteristics and argued that such
distinguishing characteristics provided rationale for additional
payment. The commenter believed the CMS proposal sent conflicting
messages to manufacturers about the importance of developing new
treatments for this underserved patient population.
An organization of home dialysis patients commented (80 FR 69022)
with a similar concern, noting that the functional categories are too
broad and could prevent people on dialysis from receiving needed care,
and be detrimental to innovation. The commenter stated that in the
future there could be a new medication to help with fluid management
but patients would be shut out of ever having the option for a new
fluid management therapy since there is an existing functional category
for excess fluid management and therefore, these drugs are considered
to be included in the base rate. Therefore, we believe the commenter
meant that drug manufacturers would be less likely to develop a new
fluid management drug knowing it would never qualify for additional
payment under the ESRD PPS. The commenter asked that CMS provide
additional payment for new drugs that fit into the functional
categories in order to incentivize new medications to come to market
and to ensure they have the opportunity for better care, choices and
treatment.
A national dialysis patient advocacy organization explained (80 FR
69021) that if new products are immediately added to the bundle without
additional payment it would curtail innovation in treatments for people
on dialysis. They believed clinicians should have the ability to
evaluate the appropriate use of a new product and its effect on patient
outcomes, and that the proposed rule did not allow for this. The
commenter explained that Kidney Disease Improving Global Outcomes
(KDIGO) and Kidney Disease Outcomes Quality Initiative (KDOQI)
guidelines are often updated when evidence of improved therapies on
patient outcomes are made available and that this rigorous and
evidence-based process is extremely important in guiding widespread
[[Page 34313]]
treatment decisions in nephrology. The commenter expressed concern that
under the proposed rule, reimbursement and contracting arrangements
could instead dictate utilization of a product before real world
evidence on patient outcomes is ever generated.
The comments we received for the drug designation process in the CY
2016 ESRD PPS rulemaking (80 FR 69017 through 69024) indicated that
commenters were also concerned about the cost of the new drugs and
biologicals, and in particular, new drugs and biologicals that fall
within the functional categories, and therefore, considered by CMS to
be reflected in the ESRD PPS base rate.
A national dialysis organization strongly urged (80 FR 69017) CMS
to adopt the same process for all new drugs and biologicals (as opposed
to only those that do not fall within a functional category) unless
they are substantially the same as drugs or biologicals currently paid
for under the ESRD PPS payment rate. For new drugs or biologicals that
are substantially the same as drugs or biologicals currently paid under
the ESRD PPS, the organization supported incorporating them into the
PPS on a case-by-case basis using notice-and-comment rulemaking and
foregoing the transition period if it can be shown that the PPS rate is
adequate to cover the cost of the drug or biological. The organization
believed if the rate is inadequate to cover the cost of the new drug
then the TDAPA should apply. An LDO stated that, if implemented, the
proposed process could jeopardize patient access to drugs that are
clinically superior to existing drugs in the same functional category.
For example, the commenter stated, if a new substantially more
expensive anemia management drug is released and is clinically proven
to be more effective than the current standard of care under the
proposed rule, the ESRD PPS base rate would remain stagnant. They
continued that it is not reasonable for CMS to expect that all dialysis
facilities would incur frequent and substantial losses in order to
furnish the more expensive, albeit more clinically effective, drug.
A dialysis organization and a professional association asked (80 FR
69019) that CMS consider a pass-through payment, meaning Medicare
payment in addition to the ESRD PPS base rate for all new drugs that
are considered truly new. They recommended a rate of 106 percent of
ASP, minus the portion of the ESRD PPS base rate that CMS determines is
attributable to the category of drugs that corresponds to a truly new
drug. An LDO stated (80 FR 69020) that defining new drugs requires
special consideration of cost. They suggested a similar approach by
stating that rather than comparing the cost of the new drug to the ESRD
PPS base rate, we should compare it to the cost of the existing drugs
in the same CMS-defined ``mode of action'' category. In such a case, a
drug might qualify for payment of the TDAPA on the basis that its cost
per unit or dosage exceeds a specified percentage (for example 150
percent) of the average cost per unit or dosage of the top three most
common drugs in the same category (based on utilization data). This
comparison would demonstrate that the amount allocated to that category
in the ESRD PPS base rate is insufficient to cover the cost of the new
drug.
Other commenters referred (80 FR 69020) to pathways in other
payment systems that provide payment for new drugs and biologicals to
account for their associated costs. For example, the Outpatient
Prospective Payment System (OPPS) provides a pass-through payment and
the Inpatient Prospective Payment System (IPPS) provides a new
technology add-on payment. Commenters indicated (80 FR 69020) that we
should decouple the TDAPA from the functional categories and provide
the additional payment for all new injectable and intravenous drugs and
biologicals and oral equivalents for 2 to 3 years, similar to the IPPS
or the OPPS.
f. Proposed Expansion of the TDAPA Eligibility Criteria
We continue to believe that the drug designation process does not
prevent ESRD facilities from furnishing available medically necessary
drugs and biologicals to ESRD beneficiaries. Additionally, our position
has been that payment is adequate to ESRD facilities to furnish new
drugs and biologicals that fall within existing ESRD PPS functional
categories. The per treatment payment amount is a patient and facility
level adjusted base rate plus any applicable adjustments, such as
training or outlier. Finally, the ESRD PPS includes the ESRDB market
basket, which updates the PPS base rate annually for input price
changes for providing renal dialysis services and accounts for price
changes of the drugs and biologicals that are reflected in the ESRD PPS
base rate (80 FR 69019). However, in the CY 2016 ESRD PPS final rule,
we also acknowledged that the outlier policy would not fully cover the
cost of furnishing a new drug (80 FR 69021) and that newer drugs may be
more costly. Consequently, due to the reasons detailed in the following
paragraphs, we are reconsidering our previous policy on the drug
designation policy.
We recognize the unique situations identified by the commenters
discussed in section II.B.1.e of this proposed rule, and how they are
impacted by the eligibility criteria for the TDAPA. Concerns regarding
inadequate payment for renal dialysis services and hindrance of high-
value innovation, among others, are important issues that we
contemplate while determining appropriate payment policies.
Additionally, subsequent to the issuance of the CY 2016 ESRD PPS final
rule, we continue to hear concerns that the drug designation process is
restrictive in nature; and receive requests from the dialysis industry
and stakeholders that we reconsider the applicability of the TDAPA.
We acknowledge that ESRD facilities have unique circumstances with
regard to implementing new drugs and biologicals into their standards
of care. For example, when new drugs are introduced to the market, ESRD
facilities need to analyze their budget and engage in contractual
agreements to accommodate the new therapies into their care plans.
Newly launched drugs and biologicals can be unpredictable with regard
to their uptake and pricing which makes these decisions challenging for
ESRD facilities. Furthermore, practitioners should have the ability to
evaluate the appropriate use of a new product and its effect on patient
outcomes. We agree that this uptake period would be best supported by
the TDAPA pathway because it would help facilities transition/test new
drugs and biologicals in their businesses under the ESRD PPS. The TDAPA
provides flexibility and targets payment for the use of new renal
dialysis drugs and biologicals during the period when a product is new
to the market so that we can evaluate if resource use can be aligned
with payment. As explained in section II.B.1.b of this proposed rule,
the ESRD PPS base rate includes dollars allocated for drugs and
biologicals that fall within a functional category, but those dollars
may not directly address the total resource use associated with the
newly launched drugs trying to compete in the renal dialysis market.
We believe that we need to be conscious of ESRD facility resource
use and the financial barriers that may be preventing uptake of
innovative new drugs and biologicals that, while are already accessible
to them, may be under-prescribed because the new drugs are priced
higher than currently utilized drugs (as argued by commenters).
[[Page 34314]]
Therefore, beginning January 1, 2019, we are proposing to add Sec.
413.234(b)(1)(i), (ii) and revise Sec. 413.234(c) to reflect that the
TDAPA, under the authority of section 1881(b)(14)(D)(iv) of the Act,
would apply to all new renal dialysis injectable or intravenous
products, oral equivalents, and other forms of administration drugs and
biologicals, regardless of whether or not they fall within a functional
category. New renal dialysis drugs and biologicals that do not fall
within an existing functional category would continue to be paid under
the TDAPA and the ESRD PPS base rate would be modified, if appropriate,
to reflect the new functional category. We are revising Sec.
413.234(b)(2)(ii) and Sec. 413.234(c)(2), removing Sec.
413.234(c)(3), and adding Sec. 413.234(c)(2)(i) to reflect that we
would continue to provide the TDAPA, collect sufficient data, and
modify the ESRD PPS base rate, if appropriate, for these new drugs and
biologicals that do not fall within an existing functional category.
We propose to revise Sec. 413.234(c)(1) to reflect that for new
renal dialysis drugs and biologicals that fall within a functional
category, the TDAPA would apply for only 2 years. While we are not
collecting claims data for purposes of analyzing utilization to result
in a change to the base rate, we would still monitor renal dialysis
service utilization for trends and believe that this timeframe is
adequate for payment. We believe that 2 years is a sufficient timeframe
for facilities to set up system modifications, and adjust business
practices so that there is seamless access to these new drugs within
the ESRD PPS base rate. In addition, when we implement policy changes
whereby facilities need to adjust their system modifications or
protocols, we have provided a transition period. We believe that this
2-year timeframe is similar in that facilities are making changes to
their systems and care plan to incorporate the new renal dialysis drugs
and biologicals into their standards of care and this could be
supported by a transition period. Also, the TDAPA for 2 years would
address the stakeholders concerns regarding additional payment to
account for higher cost of more innovative drugs that perhaps may not
be adequately captured by the dollars allocated in the ESRD PPS base
rate. That is, this transitional payment would give the new renal
dialysis drugs and biologicals a foothold in the market so that when
the timeframe is complete, they are able to compete with the existing
drugs and biologicals under the outlier policy, if applicable. Meaning,
once the timeframe is complete, drugs would then qualify as outlier
services, if applicable, and the facility would no longer receive the
TDAPA for any one particular drug. Instead, in the outlier policy
space, there is a level playing field where drugs could gain market
share by offering the best practicable combination of price and
quality. We believe that the proposed timeframe is long enough to be
meaningful but not too long as to improperly incentivize high cost
items without more value, for example, substitutions of those drugs
that already exist in the functional category.
We note that this proposal would increase Medicare expenditures,
which would result in increases to ESRD beneficiary cost sharing, since
we have not previously provided the TDAPA for new renal dialysis drugs
and biologicals in the past. It is our understanding that there are new
drugs and biologicals in the pipelines, for example, we are aware that
there are new drugs that would fall within the anemia management, bone
and mineral, and pain management categories. We would continue to
monitor the use of the TDAPA and carefully evaluate the new renal
dialysis drugs and biologicals that qualify. We would address any
concerns through future refinements to the TDAPA policy.
We are also proposing that when a new renal dialysis drug or
biological falls within an existing functional category at the end of
the TDAPA period we would not modify the ESRD PPS base rate, but at the
end of the 2 years, as consistent with the existing outlier policy, the
drug would be eligible for outlier payment. However, as discussed in
section II.B.1.h of this proposed rule, if the new renal dialysis drug
or biological is considered to be a composite rate drug, it would not
be eligible for an outlier payment. The intent of the TDAPA for these
drugs is to provide a transition period for the unique circumstances
experienced by ESRD facilities and to allow time for the uptake of the
new drug. We do not believe that it would be appropriate to add dollars
to the ESRD PPS base rate for new renal dialysis drugs and biologicals
that fall within existing functional categories and that doing such
would be in conflict with the fundamental principles of a PPS. Under a
PPS, Medicare makes payments based on a predetermined, fixed amount
that reflects the average patient and the facility retains the profit
or suffers a loss resulting from the difference between the payment
rate and the facility's cost which creates an incentive for cost
control. It is not the intent of a PPS to add dollars to the base
whenever something new is made available. We believe this proposal,
that is, no modification to the base rate at the end of the TDAPA
period for new renal dialysis drugs and biologicals that fall within an
existing functional category would maintain the overall goal of a
bundled PPS, that is, the limitation of applying the TDAPA would not
undermine the bundle since there is no permanent adjustment to the base
rate. This proposal would also strike a balance of maintaining the
existing functional category scheme of the drug designation process and
not adding dollars to the ESRD PPS base rate when the base rate may
already reflect costs associated with such services, while still
promoting high-value innovation and allowing facilities to adjust or
factor in new drugs through a short-term transitional payment. We are
proposing to add Sec. 413.234(c)(1)(i) to reflect that when a new
renal dialysis drug or biological falls within an existing functional
category at the end of the TDAPA period, we would not modify the ESRD
PPS base rate. We solicit comment on this proposal.
We are proposing to operationalize this proposed policy no later
than January 1, 2020. This deadline would provide us with the
appropriate time to prepare the necessary changes to our claims
processing systems.
We solicit comment on the proposal to revise Sec. 413.234(c) and
(c)(1) to reflect that the TDAPA would apply for all new renal dialysis
drugs and biologicals regardless of whether they fall within a
functional category. Then, for new renal dialysis drug or biological
that falls within an existing functional category, that payment would
apply for 2 years and there would be no modification to the ESRD PPS
base rate. We are also soliciting comment on the appropriateness of the
2-year timeframe for the TDAPA for new renal dialysis drugs and
biologicals that fall within existing functional categories.
g. Proposed Basis of Payment for the TDAPA
Currently, under Sec. 413.234(c), the TDAPA is based on pricing
methodologies under section 1847A of the Act, including 106 percent of
ASP (ASP+6). If we adopt the proposals discussed in section II.B.1.f of
this proposed rule using the same pricing methodologies, Medicare
expenditures would increase, which would result in increases of cost
sharing for ESRD beneficiaries, since we have not previously provided
the TDAPA for all new renal dialysis drugs and biologicals in the past.
[[Page 34315]]
The TDAPA is a payment adjustment under the ESRD PPS and is not
intended to be a mechanism for payment for new drugs and biologicals
under Medicare Part B, and under section 1881(b)(14)(D)(iv) of the Act,
we believe it may not be appropriate to base the TDAPA strictly on
section 1847A of the Act methodologies. For this proposed rule, we
considered options for basing payment under the TDAPA, for example,
maintaining the policy as is and facility cost of acquiring drugs and
biologicals. We found that the while ASP could encourage certain
unintended consequences (discussed below), it continues to be the best
data available since it is commonly used to facilitate Medicare payment
across care settings and, as described in section II.B.1.c, is based on
the manufacturer's sales to all purchasers (with certain exceptions)
net of all manufacturer rebates, discounts, and price concessions.
Further, since the implementation of section 1847A of the Act,
stakeholders and executive policy advisors have analyzed this section
of the statute and issued their respective critiques on the purpose of
the ASP add-on percentage. On March 8, 2016, the Assistant Secretary
for Planning and Evaluation (ASPE) issued an Issue Brief titled,
``Medicare Part B Drugs: Pricing and Incentives'' (https://aspe.hhs.gov/system/files/pdf/;187581/PartBDrug.pdf). In this brief
ASPE touches on several concerns they have about the ASP methodology.
Two of those concerns regard the economic incentives of cost and value.
ASPE noted that the ASP methodology for Part B drugs falls short of
providing value based incentives in several ways. Specifically, they
noted physicians can often choose between several similar drugs for
treating a patient and although the current system may encourage
providers and suppliers to pursue the lowest price for drugs that are
multiple source, payment based on drug specific ASP provides little
incentive to make choices among the therapeutic options with an eye
towards value and choose among the lowest price among all drugs
available to effectively treat a patient. Rationale for the 6 percent
add-on has been to cover administrative and overhead costs, but such
costs are not proportional to the price of the drug. The fixed 6
percent of ASP provides a larger ``add-on'' for higher priced drugs
than for lower priced drugs, resulting in increased profit margins for
the physicians' office and hospitals creating a perverse incentive to
choose the high priced drugs as opposed to lower priced alternatives of
similar effectiveness.
In MedPAC's June 2015 Report to Congress (https://medpac.gov/docs/default-source/reports/june-2015-report-to-the-congress-medicare-and-the-health-care-delivery-system.pdf), MedPAC provides discussion around
the meaning of the 6 percent that is added to the ASP and provides
their opinion on its purpose. In their report, they state ``There is no
consensus on the original intent of the 6 percent add-on to ASP. A
number of rationales have been suggested by various stakeholders. Some
suggest that the 6 percent is intended to cover drug storage and
handling costs. Others contend that the 6 percent is intended to
maintain access to drugs for smaller practices and other purchasers who
may pay above average prices for the drugs. Another view is that the
add-on to ASP was intended to cover factors that may create a gap
between the manufacturers' reported ASP and the average purchase price
across providers (for example, prompt-pay discounts). Another rationale
for the percentage add-on may be to provide protection for providers
when price increases occur and the payment rate has not yet caught
up.''
Finally, with regard to acquisition costs in a 2006 Report to
Congress titled, ``Sales of Drugs and Biologicals to Large Volume
Producers (https://www.cms.gov/Research-Statistics-Data-and-Systems/
;Statistics-Trends-and-Reports/Reports/Downloads/LVP_RTC_2_09_06.pdf),
the Secretary was tasked to submit a Report to Congress (RTC) to
include recommendations as to whether sales to large volume purchasers
should be excluded from the computation of manufacturer's ASP. The
contractor made extensive efforts to collect and analyze data regarding
large volume drug purchasers. They were unable to obtain data on ASP by
type of purchaser from the drug manufacturers, and were unable to
determine net acquisition costs. The sensitive and proprietary nature
of prescription drug pricing data made it extremely difficult to obtain
the data necessary for the report. Given that ASP was designed to
broadly reflect market prices without data on net acquisition cost, it
is not possible to accurately analyze the impact of large volume
purchasers on overall ASP. In 2018, we remain unable to obtain
contractual information regarding drug pricing and ESRD PPS, which is
especially pertinent since the dialysis stage is dominated by two large
dialysis organizations who administer drugs and biologicals to the
majority of ESRD beneficiaries.
To balance the price controls inherent in any PPS we believe that
we need to take all of these issues into consideration to revise the
basis for TDAPA payment. We are, and will continue to be, conscious of
ESRD facility resource use and recognize the financial barriers that
may be preventing uptake of innovative new drugs and biologicals.
Therefore, we are proposing to revise Sec. 413.234(c) under the
authority of section 1881(b)(14)(D)(iv) of the Act, to reflect that we
would base the TDAPA payments on 100 percent of ASP (ASP+0) instead of
the pricing methodologies available under section 1847A of the Act
(which includes ASP+6).
This proposal applies to new renal dialysis drugs and biologicals
that fall within an existing functional category and to those that do
not fall within an existing functional category. We believe that ASP+0
is a reasonable basis for payment for the TDAPA for new renal dialysis
drugs and biologicals that fall within an existing functional category
because there are already dollars in the per treatment base rate for a
new drug's respective category. We also believe that ASP+0 is a
reasonable basis for payment for the TDAPA for new renal dialysis drugs
and biologicals that do not fall within the existing functional
category because the ESRD PPS base rate has dollars built in for
administrative complexities and overhead costs for drugs and
biologicals. We note that there is no clear statement from Congress as
to why the payment allowance is required to be 106 percent of ASP
(ASP+6) as opposed to any other value from 101 to 105 percent, and, as
MedPAC discussed in their June 2015 report, there is no consensus
amongst stakeholders.
We further believe that moving from pricing methodologies available
under section 1847A of the Act, (which includes ASP+6) to ASP+0 for all
new renal dialysis drugs and biologicals regardless of whether they
fall within an ESRD PPS functional category strikes a balance between
the increase to Medicare expenditures (subsequently increasing
beneficiary coinsurance) and stakeholder concerns discussed in section
II.B.1.e of this proposed rule. That is, we propose to provide the
TDAPA for new drugs that are within an existing functional category,
which is an expansion from the existing policy. This proposal would
also aim to promote innovation and bring more high-value drugs to
market. This proposal would further address concerns about
incentivizing use of high cost drugs in ESRD facilities, also discussed
in section II.B.1.e of this proposed rule. We
[[Page 34316]]
solicit comment on the proposal to revise Sec. 413.234(c) to reflect
that we would base the TDAPA payments on ASP+0. While we propose to
change the basis of payment for the TDAPA from pricing methodologies
available under section 1847A of the Act, (which includes ASP+6) to
ASP+0, we are also soliciting comment on other add-on percentages to
the ASP amount, that is, ASP+1 to 6 percent for commenters to explain
why it may be appropriate to have a higher percentage.
There are times when the ASP is not available. For example, when a
new drug or biological is brought to the market, sales data is not
sufficiently available for the manufacturer to compute an ASP.
Therefore, when the ASP is not available, we propose that the TDAPA
payment would be based on 100 percent of Wholesale Acquisition Cost
(WAC) and, when WAC is not available, the TDAPA payment would be based
on the drug manufacturer's invoice. We solicit comment on this
proposal.
We note that this proposal to use ASP+0 as the basis for the TDAPA
payments, if adopted, would apply prospectively to new drugs and
biologicals as of January 1, 2019. Currently, calcimimetics are
eligible for the TDAPA and payment for both the injectable and oral
versions are based on pricing methodologies under section 1847A of the
Act. This proposal would not affect calcimimetics, which would continue
to be eligible for the TDAPA payment based on ASP+6.
h. Drug Designation Process for Composite Rate Drugs and Biologicals
In the CY 2016 ESRD PPS final rule, we did not discuss composite
rate drugs and biologicals explicitly in context of the drug
designation process. Composite rate services are discussed in the CY
2011 ESRD PPS final rule (75 FR 49036, 49078 through 49079) and are
identified as renal dialysis services in Sec. 413.171 and under
section 1847(b)(14)(B) of the Act. Prior to the implementation of the
ESRD PPS, certain drugs used in furnishing outpatient maintenance
dialysis treatments were considered composite rate drugs and not billed
separately. Composite rate drug and biological policies are discussed
in Pub. 100-02, chapter 11, section 20.3.F (https://www.cms.gov/Regulations-and-Guidance/Guidance/Manuals/downloads/bp102c11.pdf). This
manual lists the drugs and fluids considered in the composite rate as
heparin, antiarrythmics, protamine, local anesthetics, apresoline,
dopamine, insulin, lidocaine, mannitol, saline, pressors, heparin
antidotes, benadryl, hydralazine, lanoxin, solu-cortef, glucose,
antihypertensives, antihistamines, dextrose, inderal, levophed, and
verapamil. Drugs that are used as a substitute for any of these items,
or are used to accomplish the same effect, are also covered under the
ESRD PPS.
We used the composite rate payments made under Part B in 2007 for
dialysis in computing the ESRD PPS base rate. These are identified on
Table 19 of the CY 2011 ESRD PPS final rule (75 FR 49075) as
``Composite Rate Services''. In addition, we note that under Sec.
413.237, composite rate drugs and biologicals are not permitted to be
considered for an outlier payment. The outlier policy is discussed in
section II.B.3.c of this proposed rule.
Composite rate drugs and biologicals were also grouped into
functional categories during the drug categorization for the CY 2011
ESRD PPS final rule (75 FR 49044 through 49053). For example, heparin
is a composite rate drug and falls within the Access Management
category. However, these functional categories exclude certain
composite rate items given that certain drugs and biologicals formerly
paid for under the composite rate were those that were routinely given
during the time of the patient's dialysis and not always specifically
for the treatment of their ESRD. For example, an antihypertensive
composite rate drug that falls within the Cardiac Management category,
which is not an ESRD PPS functional category, is not considered to be
furnished for the treatment of ESRD and therefore, not included under
the ESRD PPS.
In light of our proposal to expand the drug designation process and
the TDAPA, we also propose, under the authority of section
1881(b)(14)(D)(iv) of the Act, that it extend to composite rate drugs
and biologicals that are furnished for the treatment of ESRD.
Specifically, beginning January 1, 2019, we propose that if a new renal
dialysis drug or biological as defined in the proposed revision at
Sec. 413.234(a) is considered to be a composite rate drug or
biological and falls within an ESRD PPS functional category, it would
be eligible for the TDAPA. We note that composite rate drugs and
biologicals that are not considered to be furnished for the treatment
of ESRD, and therefore, are not included in the ESRD PPS, would not be
eligible for the TDAPA, for example, antihypertensives. We believe that
the same unique consideration for innovation and cost exists for drugs
that are considered composite rate drugs. That is, the ESRD PPS base
rate dollars allocated for these types of drugs may not directly
address the costs associated with drugs in this category when they are
newly launched and are finding their place in the market. Accordingly,
we propose that the expanded drug designation process and the TDAPA
policy we proposed in section II.B.1.f of this proposed rule, including
the proposed changes to Sec. 413.234, would be applicable to composite
rate drugs, with one exception. Under our proposal, new composite rate
drugs would not be subject to outlier payments following the period
that the TDAPA applies, since we are not proposing to change the
current outlier policy under Sec. 413.237, which does not apply to
composite rate drugs. We are, however, soliciting comments on whether
we should consider applying our outlier policy to composite rate drugs
in the future (see section II.B.3.c of this proposed rule). We would
continue to monitor the use of the TDAPA and carefully evaluate the new
renal dialysis drugs and biologicals that qualify. We would address any
concerns through future refinements to the TDAPA policy.
We solicit comment on the proposal to recognize composite rate
drugs and biologicals in the same manner as drugs that were formerly
separately paid under Part B when furnished for the treatment of ESRD
for purposes of the proposed revisions to the drug designation process
and eligibility for the TDAPA.
2. Low-Volume Payment Adjustment (LVPA) Revision
a. Background
As required by section 1881(b)(14)(D)(iii) of the Act, the ESRD PPS
includes a payment adjustment that reflects the extent to which costs
incurred by low-volume facilities in furnishing renal dialysis services
exceed the costs incurred by other facilities furnishing such services.
We have established a low-volume payment adjustment (LVPA) factor of
23.9 percent for ESRD facilities that meet the definition of a low-
volume facility. Under Sec. 413.232(b), a low-volume facility is an
ESRD facility that, based on the submitted documentation--(1) Furnished
less than 4,000 treatments in each of the 3 cost reporting years (based
on as-filed or final settled 12-consecutive month cost reports,
whichever is most recent) preceding the payment year; and (2) Has not
opened, closed, or received a new provider number due to a change in
ownership in the 3 cost reporting years (based on as-filed or final
settled 12-consecutive month cost reports, whichever is most recent)
preceding the payment year.
[[Page 34317]]
Under Sec. 413.232(c), for purposes of determining the number of
treatments furnished by the ESRD facility, the number of treatments
considered furnished by the ESRD facility equals the aggregate number
of treatments furnished by the ESRD facility and the number of
treatments furnished by other ESRD facilities that are both under
common ownership with, and 5 road miles or less from, the ESRD facility
in question.
For purposes of determining eligibility for the LVPA,
``treatments'' means total hemodialysis (HD) equivalent treatments
(Medicare and non-Medicare as well as ESRD and non-ESRD). For
peritoneal dialysis (PD) patients, 1 week of PD is considered
equivalent to 3 HD treatments. As noted, we base eligibility on the 3
years preceding the payment year and those years are based on cost
reporting periods. Specifically, under Sec. 413.232(g), the ESRD
facility's cost reports for the periods ending in the 3 years preceding
the payment year must report costs for 12-consecutive months (76 FR
70237).
In order to receive the LVPA under the ESRD PPS, an ESRD facility
must submit a written attestation statement to its Medicare
Administrative Contractor (MAC) confirming that it meets all of the
requirements specified Sec. 413.232 and qualifies as a low-volume ESRD
facility. Section 413.232(e) imposes a yearly November 1 deadline for
attestation submissions. This timeframe provides 60 days for a MAC to
verify that an ESRD facility meets the LVPA eligibility criteria (76 FR
70236). Further information regarding the administration of the LVPA is
provided in the Medicare Benefit Policy Manual, CMS Pub. 100-02,
Chapter 11, section 60.B.1.
b. Revisions to the LVPA Requirements and Regulations
We have heard from stakeholders that low-volume facilities rely on
the low-volume adjustment and loss of the adjustment could result in
beneficiary access issues. Specifically, stakeholders expressed concern
that the eligibility criteria in the LVPA regulations are very explicit
and leave little room for flexibility in certain circumstances. For
example, in the CY 2017 ESRD PPS final rule (81 FR 77863), a commenter
suggested refinements to the definition of a low-volume facility to
address the rare change of ownership (CHOW) instance wherein the new
owner accepts the Medicare agreement but the ownership change results
in a new provider number because of a facility's type reclassification.
The commenter explained that in this example, due to the issuance of a
new Medicare provider billing number or provider transaction access
number (PTAN) when the facility's type is reclassified, this facility
would be deemed ineligible for the LVPA since our policy requires new
Medicare provider billing numbers qualify for the LVPA, which takes 3
years. We also discovered that facilities that change their fiscal year
without going through a CHOW become ineligible for the adjustment.
Finally, stakeholders also communicated that the strict enforcement of
the attestation deadline without exception should be reevaluated since
missing the deadline results in the facility losing the LVPA and their
payments are significantly reduced. Thus, in order to be responsive to
stakeholders and increase flexibility with regard to eligibility for
the LVPA, we are proposing to make changes to the LVPA regulation at
Sec. 413.232.
The first proposed revision concerns the assignment of a PTAN when
a facility undergoes a CHOW as described in 42 CFR 489.18. A facility
is ineligible under Sec. 413.232(b)(2) and (g)(2) for the LVPA for 3
years if it goes through a CHOW that results in a new PTAN. In response
to a comment we received during the CY 2011 ESRD PPS rulemaking (75 FR
49123), we explained that we believe that a 3-year waiting period
serves as a safeguard against facilities establishing new facilities
that are purposefully small. We also explained that we structured our
analysis of the ESRD PPS by looking across data for 3 years as we
believe that the 3-year timeframe provided us with a sufficient span of
time to view consistency in business operations.
However, as we mentioned above, we have heard from stakeholders
that this policy unfairly impacts facilities that undergo a CHOW that
results in a change in facility type (for example, the facility type
changes from hospital-based to freestanding). Under this scenario, as
discussed in the Medicare State Operations Manual, Pub. 100-07, Chapter
3, Section 3210.4C (https://www.cms.gov/Regulations-and-Guidance/Guidance/Manuals/downloads/som107c03.pdf) and the Medicare Program
Integrity Manual, Pub. 100-08, Chapter 15, Section 15.7.7.1 (https://www.cms.gov/Regulations-and-Guidance/Guidance/Manuals/Downloads/pim83c15.pdf), CMS requires the issuance of a new CMS Certification
Number (CCN) and provider agreement, which may lead to the issuance of
a new PTAN, even if the new owner has accepted assignment of the
existing Medicare provider agreement, that is, the new owner accepts
the previous owner's assets and liabilities.
We agree with the stakeholders that the language in the regulation
regarding PTAN status could restrict LVPA eligibility to an otherwise
qualified ESRD facility from receiving the adjustment for 3 years,
until the new PTAN qualifies for the adjustment. We recognize that
there are technicalities regarding the assignment of a PTAN that could
cause substantive impacts with eligibility for the LVPA that were not
contemplated at the time the regulation was established. The intent of
the LVPA has always been that if an ESRD facility undergoes a CHOW
wherein the new owner accepts assignment of the existing Medicare
provider agreement that they should continue to be eligible for the
LVPA since this indicates a consistency in business operations.
We are proposing to expand the definition of a low-volume facility
in Sec. 413.232(b)(2) to include CHOWs where the new owner accepts
assignment of the existing Medicare provider agreement and a new PTAN
is issued due to a change in facility type. This proposal does not
extend to CHOWs where a new PTAN is issued for any other reason. We
solicit comment on the proposal to revise the language at Sec.
413.232(b)(2) to reflect that ESRD facilities can meet the definition
of a low-volume facility when they have a CHOW that results in a new
PTAN due to a change in facility type but accepts assignment of the
existing Medicare provider agreement. We are also proposing to amend
Sec. 413.232(g)(2), which governs the determination of LVPA
eligibility, to recognize the proposed expansion of the low-volume
facility definition to allow for PTAN changes when the facility type
changes as a result of CHOW. We solicit comment on this proposal.
We are also proposing to allow for an extraordinary circumstance
exception to the November 1 attestation deadline under Sec.
413.232(e). We agree with the stakeholders that there could be
unforeseeable factors that contribute to a delay in the submission of
the attestation and we would not want to prevent an otherwise qualified
ESRD facility from receiving the adjustment. For example, while a
failure to timely submit the attestation because of poor communication
between a facility and its respective MAC, or because a facility
forgets to send the attestation to the MAC, would not constitute
extraordinary circumstances; a natural disaster could, because such an
event is unforeseeable and extraordinary, which may understandably
delay the timely submission of the attestation. We expect
[[Page 34318]]
extraordinary exceptions to be rare and the determination of
acceptability would be made on a case-by-case basis. We have heard from
stakeholders that they have lost eligibility for the LVPA due to
extraordinary circumstances, such as natural disasters, that prevented
them from submitting their attestation by the deadline. In those types
of instances, we believe an exception to the attestation deadline could
be warranted. Therefore, we are proposing to add a clause in Sec.
413.232(e) to recognize an exception to the filing deadline for
extraordinary circumstances. In order to request an extraordinary
circumstance exception, we also propose that the facility would need to
submit a narrative explaining the rationale for the exception to their
MAC. We would evaluate and review the narrative to determine if an
exception is justified, and such a determination would be final, with
no appeal. We solicit comment on the proposal to revise the language at
Sec. 413.232(e) to reflect that CMS would allow an exception to the
attestation deadline of November 1 for extraordinary circumstances, if
determined appropriate.
In addition, we are also proposing to allow ESRD facilities that
change their fiscal year-end for cost reporting purposes outside of a
CHOW to qualify for the LVPA if they otherwise meet the LVPA
eligibility criteria. Under Sec. 413.24(f)(3), facilities are able to
change their cost reporting period when they request a change in
writing from their MAC and meet specific criteria for approval.
However, the current LVPA regulation at Sec. 413.232(g)(2)(ii) does
not technically address requirements for changing cost reporting
periods except as a result of a CHOW, which has prohibited facilities
from receiving the LVPA if they make a business decision to adjust
their cost reporting period, which could interfere with the normal
course of business. We recognize that there are business decisions an
ESRD facility could make with regard to cost reporting periods that
could substantively impact eligibility for the LVPA that we did not
contemplate at the time the regulation was adopted. Specifically, there
could be reasons why a cost report does not span 12-consecutive months.
We did not intend for an ESRD facility to lose their LVPA eligibility
simply because they made a decision to change their cost reporting
period. The requirement that cost reports span 12-consecutive months
was to bring a measure of consistent business operations.
We are proposing to add a new paragraph (3) to Sec. 413.232(g) to
provide direction for MACs in verifying the number of treatments when a
change in a cost reporting period is approved. When this occurs, we
propose that MACs would combine the two non-standard cost reporting
periods of less than 12 months to equal a full 12-consecutive month
period or combine the two non-standard cost reporting periods that in
combination may exceed 12-consecutive months and prorate the data to
equal a full 12-consecutive month period. This proposal does not impact
or change requirements for reporting, as established by the MACs, or
those set forth in Sec. 413.24(f)(3). We solicit comment on the
proposal to add proposed Sec. 413.232(g)(3) to change the information
and cost report timeframes MACs would review to determine LVPA
eligibility. This would apply to ESRD facilities that change their cost
reporting year for purposes outside of a CHOW to qualify for the LVPA,
provided they otherwise meet the LVPA eligibility criteria for the
purposes of allowing the ESRD facility to continue to receive the
adjustment.
Finally, we are proposing two additional changes to correct and
further clarify the LVPA regulation. The first would correct a cross-
reference in Sec. 413.232(b) by changing ``paragraph (h)'' to
``paragraph (g)''. This error is the result of prior changes we made to
the regulation when we deleted other paragraphs, but did not update the
reference accordingly. The second proposed revision, which we are
making to Sec. 413.232(c)(2), would clarify that the reference to
miles, are road miles. CMS recognizes that the current designation of
miles under the regulation may not be specific enough and could cause
confusion, and we have issued guidance (Medicare Benefit Policy Manual,
Pub. L. 100-02, Chapter 11, Section 60) addressing road miles.
Accordingly, we are proposing clarifying edits to Sec. 413.232(c)(2).
3. Proposed CY 2019 ESRD PPS Update
a. ESRD Bundled (ESRDB) Market Basket and Labor-Related Share
i. Proposed Rebasing of the ESRDB Market Basket
In accordance with section 1881(b)(14)(F)(i) of the Act, as added
by section 153(b) of MIPPA and amended by section 3401(h) of the
Affordable Care Act, beginning in 2012, the ESRD PPS payment amounts
are required to be annually increased by an ESRD market basket increase
factor and reduced by the productivity adjustment described in section
1886(b)(3)(B)(xi)(II) of the Act. The application of the productivity
adjustment may result in the increase factor being less than 0.0 for a
year and may result in payment rates for a year being less than the
payment rates for the preceding year. The statute also provides that
the market basket increase factor should reflect the changes over time
in the prices of an appropriate mix of goods and services used to
furnish renal dialysis services.
As required under section 1881(b)(14)(F)(i) of the Act, CMS
developed an all-inclusive ESRD Bundled (ESRDB) input price index (75
FR 49151 through 49162) and subsequently revised and rebased the ESRDB
input price index in the CY 2015 ESRD PPS final rule (79 FR 66129
through 66136). Effective for CY 2019, we are proposing to rebase the
ESRDB market basket to a base year of CY 2016.
Although ``market basket'' technically describes the mix of goods
and services used for ESRD treatment, this term is also commonly used
to denote the input price index (that is, cost categories, their
respective weights, and price proxies combined) derived from a market
basket. Accordingly, the term ``ESRDB market basket,'' as used in this
document, refers to the ESRDB input price index.
The ESRDB market basket is a fixed-weight, Laspeyres-type price
index. A Laspeyres-type price index measures the change in price, over
time, of the same mix of goods and services purchased in the base
period. Any changes in the quantity or mix of goods and services (that
is, intensity) purchased over time are not measured.
The index is constructed in three steps. First, a base period is
selected (in this proposed rule, we are proposing to use 2016 as the
base period) and total base period expenditures are estimated for a set
of mutually exclusive and exhaustive spending categories, with the
proportion of total costs that each category represents being
calculated. These proportions are called ``cost weights'' or
``expenditure weights.'' Second, each expenditure category is matched
to an appropriate price or wage variable, referred to as a ``price
proxy''. In almost every instance, these price proxies are derived from
publicly available statistical series that are published on a
consistent schedule (preferably at least on a quarterly basis).
Finally, the expenditure weight for each cost category is multiplied by
the level of its respective price proxy. The sum of these products
(that is, the expenditure weights multiplied by their price index
levels) for all cost categories yields the composite index level of the
market basket in a given period. Repeating this step for other periods
produces a series of market basket levels over time.
[[Page 34319]]
Dividing an index level for a given period by an index level for an
earlier period produces a rate of growth in the input price index over
that timeframe.
As noted above, the market basket is described as a fixed-weight
index because it represents the change in price over time of a constant
mix (quantity and intensity) of goods and services purchased to provide
ESRD services. The effects on total expenditures resulting from changes
in the mix of goods and services purchased subsequent to the base
period are not measured. For example, an ESRD facility hiring more
nurses to accommodate the needs of patients would increase the volume
of goods and services purchased by the ESRD facility, but would not be
factored into the price change measured by a fixed-weight ESRD market
basket. Only when the index is rebased would changes in the quantity
and intensity be captured, with those changes being reflected in the
cost weights. Therefore, we rebase the market basket periodically so
that the cost weights reflect changes between base periods in the mix
of goods and services that ESRD facilities purchase to furnish ESRD
treatment.
We are proposing to use CY 2016 as the base year for the proposed
rebased ESRDB market basket cost weights. The cost weights for this
proposed ESRDB market basket are based on the cost report data for
independent ESRD facilities. We refer to the market basket as a CY
market basket because the base period for all price proxies and weights
are set to CY 2016 (that is, the average index level for CY 2016 is
equal to 100). The major source data for the proposed ESRDB market
basket is the 2016 Medicare cost reports (MCRs) (Form CMS-265-11),
supplemented with 2012 data from the United States (U.S.) Census
Bureau's Services Annual Survey (SAS) inflated to 2016 levels. The 2012
SAS data is the most recent year of detailed expense data published by
the Census Bureau for North American International Classification
System (NAICS) Code 621492: Kidney Dialysis Centers. We also are
proposing to use May 2016 Bureau of Labor Statistics (BLS) Occupational
Employment Statistics data to estimate the weights for the Wages and
Salaries and Employee Benefits occupational blends. We provide more
detail on our methodology below.
The terms ``rebasing'' and ``revising,'' while often used
interchangeably, actually denote different activities. The term
``rebasing'' means moving the base year for the structure of costs of
an input price index (that is, in this exercise, we are proposing to
move the base year cost structure from CY 2012 to CY 2016) without
making any other major changes to the methodology. The term
``revising'' means changing data sources, cost categories, and/or price
proxies used in the input price index. For CY 2019, we are proposing to
rebase the ESRD market basket to reflect the 2016 cost structure of
ESRD facilities. We are not proposing to revise the index; that is, we
are not proposing to make any changes to the cost categories or price
proxies used in the index.
We selected CY 2016 as the new base year because 2016 is the most
recent year for which relatively complete MCR data are available. In
developing the proposed market basket, we reviewed ESRD expenditure
data from ESRD MCRs (CMS Form 265-11) for 2016 for each freestanding
ESRD facility that reported expenses and payments. The 2016 MCRs are
those ESRD facilities whose cost reporting period began on or after
October 1, 2015 and before October 1, 2016. Of the 2016 MCRs,
approximately 88 percent of freestanding ESRD facilities had a begin
date on January 1, 2016, approximately 6 percent had a begin date prior
to January 1, 2016, and approximately 6 percent had a begin date after
January 1, 2016. Using this methodology allowed our sample to include
ESRDs with varying cost report years including, but not limited to, the
federal fiscal or CY.
We propose to maintain our policy of using data from freestanding
ESRD facilities (which account for over 90 percent of total ESRD
facilities) because freestanding ESRD data reflect the actual cost
structure faced by the ESRD facility itself. In contrast, expense data
for a hospital-based ESRD reflect the allocation of overhead from the
entire institution.
We developed cost category weights for the proposed 2016-based
ESRDB market basket in two stages. First, we derived base year cost
weights for nine major categories (Wages and Salaries, Employee
Benefits, Pharmaceuticals, Supplies, Lab Services, Housekeeping and
Operations, Administrative and General, Capital-Related Building and
Fixtures, and Capital-Related Machinery) from the ESRD MCRs. Second, we
are proposing to divide the Administrative and General cost category
into further detail using 2012 U.S. Census Bureau Services Annual
Survey (SAS) data for the industry Kidney Dialysis Centers NAICS 621492
inflated to 2016 levels. We apply the estimated 2016 distributions from
the SAS data to the 2016 Administrative and General cost weight to
yield the more detailed 2016 cost weights in the proposed market
basket. This is similar to the methodology we used to break the
Administrative and General costs into more detail for the 2012-based
ESRDB market basket (79 FR 40217 through 40221). The only difference is
that for this proposed rebasing because SAS data is not available after
2012 we inflated the 2012 expense levels to 2016 dollars using
appropriate price proxies and applied this expense distribution to the
Administrative and General cost weight for 2016.
We are proposing to include a total of 20 detailed cost categories
for the proposed 2016-based ESRDB market basket, which is the same
number of cost categories as the 2012-based ESRDB market basket. We are
proposing to continue to assume that 87 percent of Professional Fees
and 46 percent of capital costs are labor-related costs and would be
included in the proposed labor-related share. A more thorough
discussion of our proposals is provided below.
a. Cost Category Weights
Using Worksheets A and B from the 2016 MCRs, we first computed cost
shares for nine major expenditure categories: Wages and Salaries,
Employee Benefits, Pharmaceuticals, Supplies, Lab Services,
Housekeeping and Operations, Administrative and General, Capital-
Related Building and Equipment, and Capital-Related Machinery. Edits
were applied to include only cost reports that had total costs greater
than zero. Total costs as reported on the MCR include those costs
reimbursable under the ESRD bundled payment system. For example, we
excluded expenses related to vaccine costs from total expenditures
since these are not reimbursable under the ESRD bundled payment.
In order to reduce potential distortions from outliers in the
calculation of the individual cost weights for the major expenditure
categories for each cost category, values less than the 5th percentile
or greater than the 95th percentile were excluded from the major cost
weight computations. The proposed data set, after removing cost reports
with total costs equal to or less than zero and excluding outliers,
included information from approximately 5,700 independent ESRD
facilities' cost reports from an available pool of 6,410 cost reports.
Table 2 presents the proposed 2016-based ESRDB and 2012-based ESRDB
market basket major cost weights as derived directly from the MCR data.
[[Page 34320]]
Table 2--Proposed 2016-Based ESRDB Market Basket Major Cost Weights
Derived From the Medicare Cost Report Data
------------------------------------------------------------------------
Proposed 2016- 2012-based
based ESRDB ESRDB market
Cost category market basket basket
(percent) (percent)
------------------------------------------------------------------------
Wages and Salaries...................... 32.6 31.8
Employee Benefits....................... 7.0 6.6
Pharmaceuticals......................... 12.4 16.5
Supplies................................ 10.4 10.1
Lab Services............................ 2.2 1.5
Housekeeping and Operations............. 3.9 3.8
Administrative and General.............. 18.4 17.4
Capital-related Building and Fixed 9.2 8.4
Equipment..............................
Capital-related Machinery............... 3.8 3.9
------------------------------------------------------------------------
Note: Totals may not sum to 100.0 percent due to rounding.
We are proposing to disaggregate certain major cost categories
developed from the MCRs into more detail to more accurately reflect
ESRD facility costs. Those categories include: Benefits, Professional
fees, Telephone, Utilities, and All Other Goods and Services. We
describe below how the initially computed categories and weights from
the cost reports were modified to yield the proposed 2016 ESRDB market
basket expenditure categories and weights presented in this proposed
rule.
Wages and Salaries
The proposed Wages and Salaries cost weight is comprised of direct
patient care wages and salaries and non-direct patient care wages and
salaries. Direct patient care wages and salaries for 2016 was derived
from Worksheet B, column 5, lines 8 through 17 of the MCR. Non-direct
patient care wages and salaries includes all other wages and salaries
costs for non-health workers and physicians, which we are proposing to
derive using the following steps:
Step 1: To capture the salary costs associated with non-direct
patient care cost centers, we calculated salary percentages for non-
direct patient care from Worksheet A of the MCR. The estimated ratios
were calculated as the ratio of salary costs (Worksheet A, columns 1
and 2) to total costs (Worksheet A, column 4). The salary percentages
were calculated for seven distinct cost centers: `Operations and
Maintenance' combined with `Machinery & Rental & Maintenance' (line 3
and 6), Housekeeping (line 4), Employee Health and Wellness (EH&W)
Benefits for Direct Patient Care (line 8), Supplies (line 9),
Laboratory (line 10), Administrative & General (line 11), and
Pharmaceuticals (line 12).
Step 2: We then multiplied the salary percentages computed in step
1 by the total costs for each corresponding reimbursable costs center
totals as reported on Worksheet B. The Worksheet B totals were based on
the sum of reimbursable costs reported on lines 8 through 17. For
example, the salary percentage for Supplies (as measured by line 9 on
Worksheet A) was applied to the total expenses for the Supplies cost
center (the sum of costs reported on Worksheet B, column 7, lines 8
through 17). This provided us with an estimate of Non-Direct Patient
Care Wages and Salaries.
Step 3: The estimated Wages and Salaries for each of the cost
centers on Worksheet B derived in step 2 were subsequently summed and
added to the direct patient care wages and salaries costs.
Step 4: The estimated non-direct patient care wages and salaries
(see step 2) were then subtracted from their respective cost categories
to avoid double-counting their values in the total costs.
Using this methodology, we derive a proposed Wages and Salaries
cost weight of 32.6 percent, reflecting an estimated direct patient
care wages and salaries cost weight of 25.1 percent and non-direct
patient care wages and salaries cost weight of 7.5 percent, as seen in
Table 3.
The final adjustment made to this category is to include Contract
Labor costs. These costs appear on the MCR; however, they are embedded
in the Other Costs from the trial balance reported on Worksheet A,
Column 3 and cannot be disentangled using the MCRs. To avoid double
counting of these expenses, we propose to remove the estimated cost
weight for the contract labor costs from the Administrative and General
category (where we believe the majority of the contract labor costs
would be reported) to the Wages and Salaries category. We are proposing
to use data from the SAS (2012 data inflated to 2016), which reported
2.3 percent of total expenses were spent on contract labor costs. We
allocated 80 percent of that contract labor cost weight to Wages and
Salaries. At the same time, we subtracted that same amount from
Administrative and General, where the majority of contract labor
expenses would likely be reported on the MCR. The 80 percent figure
that was used was determined by taking salaries as a percentage of
total compensation (excluding contract labor) from the 2016 MCR data.
This is the same method that was used to allocate contract labor costs
to the Wages and Salaries cost category for the 2012-based ESRDB market
basket.
The resulting proposed cost weight for Wages and Salaries increases
to 34.5 percent when contract labor wages are added. The calculation of
the proposed Wages and Salaries cost weight for the 2016-based ESRDB
market basket is shown in Table 3 along with the similar calculation
for the 2012-based ESRDB market basket.
[[Page 34321]]
Table 3--Proposed 2016 and 2012 ESRD Wages and Salaries Cost Weight Determination
----------------------------------------------------------------------------------------------------------------
Proposed 2016 2012 cost
Components cost weight weight Source
(percent) (percent)
----------------------------------------------------------------------------------------------------------------
Wages and Salaries Direct Patient Care........ 25.1 23.2 MCR.
Wages and Salaries Non-direct Patient Care.... 7.5 8.6 MCR.
Contract Labor (Wages)........................ 1.9 1.8 80% of SAS Contract Labor
weight.
rrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrr
Total Wages and Salaries.................. 34.5 33.7 ................................
----------------------------------------------------------------------------------------------------------------
Employee Benefits
The Employee Benefits cost weight was derived from the MCR data for
direct patient care and supplemented with data from the SAS (2012 data
inflated to 2016) to account for non-direct patient care Employee
Benefits. The MCR data only reflects Employee Benefit costs associated
with health and wellness; that is, it does not reflect retirement
benefits.
In order to reflect the benefits related to non-direct patient care
for employee health and wellness, we estimated the impact on the
benefit weight using SAS. Unlike the MCR, data from the SAS benefits
share includes expenses related to the retirement and pension benefits.
In order to be consistent with the cost report definitions we do not
want to include the costs associated with retirement and pension
benefits in the cost share weights. These costs are relatively small
compared to the costs for the health-related benefits, accounting for
only 2.7 percent of the total benefits costs as reported on the SAS.
Incorporating the SAS data produced an Employee Benefits (both direct
patient care and non-direct patient care) weight that was 1.6
percentage points higher (8.6 vs. 7.0) than the Employee Benefits
weight for direct patient care calculated directly from the MCR. To
avoid double-counting and to ensure all of the market basket weights
still totaled 100 percent, we removed this additional 1.6 percentage
points for Non-Direct Patient Care Employee Benefits from the
Administrative and General cost category (where we believe the majority
of the contract labor costs would be reported).
The final adjustment made to this category is to include contract
labor benefit costs. Once again, these costs appear on the MCR;
however, they are embedded in the Other Costs from the trial balance
reported on Worksheet A, Column 3 and cannot be disentangled using the
MCR data. Identical to our methodology above for allocating Contract
Labor Costs to Wages and Benefits, we applied 20 percent of total
Contract Labor Costs, as estimated using the SAS, to the Benefits cost
weight calculated from the cost reports. The 20 percent figure was
determined by taking benefits as a percentage of total compensation
(excluding contract labor) from the 2016 MCR data. The resulting cost
weight for Employee Benefits increases to 9.1 percent when contract
labor benefits are added. This is the same method that was used to
allocate contract labor costs to the Benefits cost category for the
2012-based ESRDB market basket.
The Table 4 compares the 2012-based Benefits cost share derivation
as detailed in the CY 2015 ESRD proposed rule (79 FR 40218) to the
proposed 2016-based Benefits cost share derivation.
Table 4--Proposed 2016 and 2012 ESRD Employee Benefits Cost Weight Determination
----------------------------------------------------------------------------------------------------------------
Proposed 2016 2012 cost
Components cost weight weight Source
(percent) (percent)
----------------------------------------------------------------------------------------------------------------
Employee Benefits Direct Patient Care......... 7.0 6.6 MCR.
Employee Benefits Non-direct Patient Care..... 1.6 1.8 SAS.
Contract Labor (Benefits)..................... 0.5 0.5 20% of SAS Contract Labor
weight.
rrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrr
Total Employee Benefits................... 9.1 8.8 ................................
----------------------------------------------------------------------------------------------------------------
Pharmaceuticals
The proposed 2016-based ESRDB market basket includes expenditures
for all drugs, including formerly separately billable drugs and ESRD-
related drugs that were covered under Medicare Part D before the ESRD
PPS was implemented. We calculated a Pharmaceutical cost weight from
the following cost centers on Worksheet B, the sum of lines 8 through
17, for the following columns: 11 ``Drugs Included in Composite Rate'';
12 ``Erythropoiesis stimulating agents (ESAs)''; 13 ``ESRD-Related
Drugs''. We also added the drug expenses reported on line 5 column 10
``Non-ESRD related drugs''. The Non-ESRD related drugs would include
drugs and biologicals administered during dialysis for non-ESRD related
conditions as well as oral-only drugs. Since these are costs to the
facility for providing ESRD treatment to the patient, we propose to
continue to include them in the Pharmaceutical cost weight. Section
1842(o)(1)(A)(iv) of the Act requires that influenza, pneumococcal, and
hepatitis B vaccines described in paragraph (A) or (B) of section
1861(s)(10) of the Act be paid based on 95 percent of average wholesale
price (AWP) of the drug. Since these vaccines are not reimbursable
under the ESRD PPS, we exclude them from the proposed 2016-based ESRDB
market basket.
Finally, to avoid double-counting, the weight for the
Pharmaceuticals category was reduced to exclude the estimated share of
Non-Direct Patient Care Wages and Salaries associated with the
applicable pharmaceutical cost centers referenced above. This resulted
in a proposed ESRDB market basket weight for Pharmaceuticals of 12.4
percent. ESA expenditures accounted for 10.0 percentage points of the
proposed Pharmaceuticals cost weight, and All
[[Page 34322]]
Other Drugs accounted for the remaining 2.4 percentage points.
The Pharmaceutical cost weight decreased 4.1 percentage point from
the 2012-based ESRD market basket to the proposed 2016-based ESRD
market basket (16.5 percent to 12.4 percent). Most providers
experienced a decrease in their Pharmaceutical cost weight since 2012.
One provider in particular, a major dialysis provider, experienced a
significant pharmaceutical cost weight decline in 2016. This provider's
decline has an effect on the overall Pharmaceutical cost weight in the
proposed 2016-based ESRDB market basket. We wish to note that the
provider's decline in the pharmaceutical cost weight was found across
the board in all states where the provider has facilities. Given this,
we are proposing to include this provider's decline in our market
basket results treating it as a `real' change in relative
pharmaceutical costs. We are not proposing to use an alternative
methodology, such as averaging cost weights from multiple years, as
proposed for Lab Services.
Supplies
We calculated the Supplies cost weight using the costs reported in
the Supplies cost center (Worksheet B, line 5 and the sum of lines 8
through 17, column 7) of the MCR. To avoid double-counting, the
Supplies costs were reduced to exclude the estimated share of Non-
Direct patient care Wages and Salaries associated with this cost
center. The resulting proposed 2016-based ESRDB market basket weight
for Supplies is 10.4 percent, about the same as the weight for the
2012-based ESRDB market basket.
Lab Services
We calculated the Lab Services cost weight using the costs reported
in the Laboratory cost center (Worksheet B, line 5 and the sum of line
8 through 17, column 8) of the MCR. To avoid double-counting, the Lab
Services costs were reduced to exclude the estimated share of Non-
Direct Patient Care Wages and Salaries associated with this cost
center. The proposed 2016-based ESRDB market basket weight for Lab
Services is estimated at 2.2 percent.
The 2016 Lab Services expenses reported for a main chain provider
were significantly lower than those reported in the 3 years prior
(2013-2015) and lower than the 2016 Lab Services weight for all other
providers. We believe the lower costs were based on a correction to the
way that this chain is billing for these services, an assumption that
is supported by the findings of a January 2016 Health and Human
Services Office of the Inspector General (OIG) Report.\2\ Because the
recent reported costs from this chain reflect these unique
circumstances, we propose to take a 2-year average of Lab Services
costs for 2015 and 2016 for this chain in order to smooth out the year-
to-year volatility. This approach results in a Lab cost weight for this
chain that is higher than it was in 2012, which is then added to the
2016 Lab Services costs for all other providers, where the cost weight
was similar in 2012 and 2016. As a result, the overall Lab Services
cost weight increased 0.7 percentage points from the 2012-based ESRDB
market basket to the proposed 2016-based ESRD market basket.
---------------------------------------------------------------------------
\2\ Review of Medicare Payments for Laboratory Tests Billed with
an AY Modifier by Total Renal Laboratories, Inc.; https://oig.hhs.gov/oas/reports/region1/11400505.pdf.
---------------------------------------------------------------------------
Housekeeping and Operations
We calculated the Housekeeping and Operations cost weight using the
costs reported on Worksheet A, lines 3 and 4, column 8, of the MCR. To
avoid double-counting, the weight for the Housekeeping and Operations
category was reduced to exclude the estimated share of Non-Direct
Patient Care Waged and Salaries associated with this cost center. These
costs were divided by total costs to derive a proposed 2016-based ESRDB
market basket weight for Housekeeping and Operations of 3.9 percent.
Capital
We developed a proposed market basket weight for the Capital
category using data from Worksheet B of the MCRs. Capital-related costs
include depreciation and lease expenses for buildings, fixtures and
movable equipment, property taxes, insurance costs, the costs of
capital improvements, and maintenance expense for buildings, fixtures,
and machinery. Because Housekeeping and Operations and Maintenance
costs are included in the Worksheet B cost center for Capital-Related
costs (Worksheet B, column 2), we excluded the costs for these two
categories and developed a separate expenditure category for
Housekeeping and Operations, as detailed above. Similar to the
methodology used for other market basket cost categories with a
salaries component, we computed a share for non-direct patient care
Wages and Salaries and Benefits associated with the Capital-related
cost centers. We used Worksheet B to develop two capital-related cost
categories: (1) Buildings and Fixtures (Worksheet B, the sum of lines 8
through 17, column 2 less housekeeping & operations as derived from
expenses reported on Worksheet A (see above)), and (2) Machinery
(Worksheet B, the sum of lines 8 through 17, column 4). We reasoned
this delineation was particularly important given the critical role
played by dialysis machines. Likewise, because price changes associated
with Buildings and Equipment could move differently than those
associated with Machinery, we continue to believe that two capital-
related cost categories are appropriate. The resulting proposed 2016-
based ESRDB market basket weights for Capital-related Buildings and
Fixtures and Capital-related Machinery are 9.2 and 3.8 percent,
respectively.
Administrative and General
We computed the proportion of total Administrative and General
expenditures using the Administrative and General cost center data from
Worksheet B, the sum of lines 8 through 17, (column 9) of the MCRs.
Additionally, we remove contract labor from this cost category and
apportion these costs to the Wages and Salaries and Employee Benefits
cost weights. Similar to other expenditure category adjustments, we
then reduced the computed weight to exclude Wages and Salaries and
Benefits associated with the Administrative and General cost center for
Non-direct Patient Care as estimated from the SAS data. The resulting
Administrative and General cost weight is 14.5 percent.
We are proposing to further disaggregate the Administrative and
General cost weight to derive detailed cost weights for Electricity,
Natural Gas, Water and Sewerage, Telephone, Professional Fees, and All
Other Goods and Services. These detailed cost weights are derived by
inflating the detailed 2012 SAS data forward to 2016 by applying the
annual price changes from the respective price proxies to the
appropriate market basket cost categories that are obtained from the
2012 SAS data. We repeat this practice for each year to 2016. We then
calculate the cost shares that each cost category represents of the
2012 data inflated to 2016. These resulting 2016 cost shares were
applied to the Administrative and General cost weight derived from the
MCR (net of contract labor and additional benefits) to obtain the
detailed cost weights for the proposed 2016-based ESRD market basket.
This method is similar to the method used for the 2012-based ESRDB
market basket.
Table 5 lists all of the cost categories and cost weights in the
proposed 2016-
[[Page 34323]]
based ESRDB market basket compared to the 2012-based ESRDB market
basket.
Table 5--Comparison of the Proposed 2016-Based and the 2012-Based ESRDB
Market Basket Cost Categories and Weights
------------------------------------------------------------------------
Proposed 2016 2012 cost
Proposed 2016 cost category cost weights weights
(percent) (percent)
------------------------------------------------------------------------
Total................................... 100.0 100.0
Compensation............................ 43.6 42.5
Wages and Salaries.................. 34.5 33.7
Employee Benefits................... 9.1 8.8
Utilities............................... 2.0 1.8
Electricity......................... 1.1 1.0
Natural Gas......................... 0.1 0.1
Water and Sewerage.................. 0.8 0.8
Medical Materials and Supplies.......... 24.9 28.1
Pharmaceuticals..................... 12.4 16.5
ESAs............................ 10.0 12.9
Other Drugs (except ESAs)....... 2.4 3.6
Supplies............................ 10.4 10.1
Lab Services........................ 2.2 1.5
All Other Goods and Services............ 16.4 15.3
Telephone & Internet Services....... 0.5 0.5
Housekeeping and Operations......... 3.9 3.8
Professional Fees................... 0.7 0.6
All Other Goods and Services........ 11.3 10.4
Capital Costs........................... 13.0 12.2
Capital Related-Building and 9.2 8.4
Fixtures...........................
Capital Related-Machinery........... 3.8 3.9
------------------------------------------------------------------------
Note: The cost weights are calculated using three decimal places. For
presentational purposes, we are displaying one decimal and, therefore,
the detail may not add to the total due to rounding.
b. Proposed Price Proxies for the 2016-Based ESRDB Market Basket
After developing the cost weights for the proposed 2016-based ESRDB
market basket, we are proposing to select the most appropriate wage and
price proxies currently available to represent the rate of price change
for each expenditure category. We based the proposed price proxies on
Bureau of Labor Statistics (BLS) data and group them into one of the
following BLS categories:
(1) Employment Cost Indexes. Employment Cost Indexes (ECIs) measure
the rate of change in employment wage rates and employer costs for
employee benefits per hour worked. These indexes are fixed-weight
indexes and strictly measure the change in wage rates and employee
benefits per hour. ECIs are superior to Average Hourly Earnings (AHE)
as price proxies for input price indexes because they are not affected
by shifts in occupation or industry mix, and because they measure pure
price change and are available by both occupational group and by
industry. The industry ECIs are based on the NAICS and the occupational
ECIs are based on the Standard Occupational Classification System
(SOC).
(2) Producer Price Indexes. Producer Price Indexes (PPIs) measure
price changes for goods sold in other than retail markets. PPIs are
used when the purchases of goods or services are made at the wholesale
level.
(3) Consumer Price Indexes. Consumer Price Indexes (CPIs) measure
change in the prices of final goods and services bought by consumers.
CPIs are only used when the purchases are similar to those of retail
consumers rather than purchases at the wholesale level, or if no
appropriate PPIs were available.
We evaluated the price proxies using the criteria of reliability,
timeliness, availability, and relevance:
Reliability. Reliability indicates that the index is based on valid
statistical methods and has low sampling variability. Widely accepted
statistical methods ensure that the data were collected and aggregated
in a way that can be replicated. Low sampling variability is desirable
because it indicates that the sample reflects the typical members of
the population. (Sampling variability is variation that occurs by
chance because only a sample was surveyed rather than the entire
population.)
Timeliness. Timeliness implies that the proxy is published
regularly, preferably at least once a quarter. The market baskets are
updated quarterly, and therefore, it is important for the underlying
price proxies to be up-to-date, reflecting the most recent data
available. We believe that using proxies that are published regularly
(at least quarterly, whenever possible) helps to ensure that we are
using the most recent data available to update the market basket. We
strive to use publications that are disseminated frequently, because we
believe that this is an optimal way to stay abreast of the most current
data available.
Availability. Availability means that the proxy is publicly
available. We prefer that our proxies are publicly available because
this helps to ensure that our market basket updates are as transparent
to the public as possible. In addition, this enables the public to be
able to obtain the price proxy data on a regular basis.
Relevance. Relevance means that the proxy is applicable and
representative of the cost category weight to which it is applied. The
CPIs, PPIs, and ECIs that we have selected to propose in this provision
meet these criteria. Therefore, we believe that they continue to be the
best measure of price changes for the cost categories to which they
would be applied.
Table 7 lists all price proxies for the proposed 2016-based ESRDB
market
[[Page 34324]]
basket. We note that we are proposing to use the same proxies as those
used in the 2012-based ESRDB market basket. Below is a detailed
explanation of the price proxies used for each cost category weight.
Wages and Salaries
We are proposing to continue using a blend of ECIs to proxy the
Wages and Salaries cost weight in the proposed 2016-based ESRDB market
basket, and to continue using four occupational categories and
associated ECIs based on full-time equivalents (FTE) data from ESRD
MCRs and ECIs from BLS. We calculated occupation weights for the
blended Wages and Salaries price proxy using 2016 FTE data from the MCR
data and associated 2016 Average Mean Wage data from the Bureau of
Labor Statistics' Occupational Employment Statistics. This is similar
to the methodology used in the 2012-based ESRDB market basket to derive
these occupational wages and salaries categories.
Health Related
We are proposing to continue using the ECI for Wages and Salaries
for All Civilian Workers in Hospitals (BLS series code
#CIU1026220000000I) as the price proxy for health-related occupations.
Of the two health-related ECIs that we considered (``Hospitals'' and
``Health Care and Social Assistance''), the wage distribution within
the Hospital NAICS sector (622) is more closely related to the wage
distribution of ESRD facilities than it is to the wage distribution of
the Health Care and Social Assistance NAICS sector (62).
The Wages and Salaries--Health Related subcategory weight within
the Wages and Salaries cost category accounts for 79.9 percent of total
Wages and Salaries in 2016. The ESRD Medicare Cost Report FTE
categories used to define the Wages and Salaries--Health Related
subcategory include ``Physicians,'' ``Registered Nurses,'' ``Licensed
Practical Nurses,'' ``Nurses' Aides,'' ``Technicians,'' and
``Dieticians''.
Management
We are proposing to continue using the ECI for Wages and Salaries
for Private Industry Workers in Management, Business, and Financial
(BLS series code #CIU2020000110000I). We believe this ECI is the most
appropriate price proxy to measure the wages and salaries price growth
of management personnel at ESRD facilities.
The Wages and Salaries--Management subcategory weight within the
Wages and Salaries cost category is 6.7 percent in 2016. The ESRD
Medicare Cost Report FTE category used to define the Wages and
Salaries--Management subcategory is ``Management.''
Administrative
We are proposing to continue using the ECI for Wages and Salaries
for Private Industry Workers in Office and Administrative Support (BLS
series code #CIU2020000220000I). We believe this ECI is the most
appropriate price proxy to measure the wages and salaries price growth
of administrative support personnel at ESRD facilities.
The Wages and Salaries--Administrative subcategory weight within
the Wages and Salaries cost category is 7.7 percent in 2016. The ESRD
MCR FTE category used to define the Wages and Salaries--Administrative
subcategory is ``Administrative.''
Services
We propose using the ECI for Wages and Salaries for Private
Industry Workers in Service Occupations (BLS series code
#CIU2020000300000I). We believe this ECI is the most appropriate price
proxy to measure the wages and salaries price growth of all other non-
health related, non-management, and non-administrative service support
personnel at ESRD facilities.
The Services subcategory weight within the Wages and Salaries cost
category is 5.7 percent in 2016. The ESRD Medicare Cost Report FTE
categories used to define the Wages and Salaries--Services subcategory
are ``Social Workers'' and ``Other.''
Table 6 lists the four ECI series and the corresponding weights
used to construct the proposed ECI blend for Wages and Salaries
compared to the 2012-based weights for the subcategories. We believe
this ECI blend is the most appropriate price proxy to measure the
growth of wages and salaries faced by ESRD facilities.
Table 6--Proposed ECI Blend for Wages and Salaries in the Proposed 2016-Based and 2012-Based ESRDB Market
Baskets
----------------------------------------------------------------------------------------------------------------
Proposed 2016
Cost category ECI series weight 2012 Weight
(percent) (percent)
----------------------------------------------------------------------------------------------------------------
Health Related............................. ECI for Wages and Salaries for All 79.9 79.0
Civilian Workers in Hospitals.
Management................................. ECI for Wages and Salaries for 6.7 8.0
Private Industry Workers in
Management, Business, and
Financial.
Administrative............................. ECI for Wages and Salaries for 7.7 7.0
Private Industry Workers in Office
and Administrative Support.
Services................................... ECI for Wages and Salaries for 5.7 6.0
Private Industry Workers in
Service Occupations.
----------------------------------------------------------------------------------------------------------------
Employee Benefits
We are proposing to continue using an ECI blend for Employee
Benefits in the proposed 2016-based ESRDB market basket where the
components match those of the proposed Wage and Salaries ECI blend. The
proposed occupation weights for the blended Benefits price proxy are
the same as those proposed for the wages and salaries price proxy blend
as shown in Table 5. BLS does not publish ECI for Benefits price
proxies for each Wage and Salary ECI; however, where these series are
not published, they can be derived by using the ECI for Total
Compensation and the relative importance of wages and salaries with
total compensation as published by BLS for each detailed ECI
occupational index.
Health Related
We are proposing to continue using the ECI for Benefits for All
Civilian Workers in Hospitals to measure price growth of this
subcategory. This is calculated using the ECI for Total Compensation
for All Civilian Workers in Hospitals (BLS series code
#CIU1016220000000I) and the relative importance of Wages and Salaries
within Total Compensation as
[[Page 34325]]
published by BLS. We believe this constructed ECI series is technically
appropriate for the reason stated above in the Wages and Salaries price
proxy section.
Management
We are proposing to continue using the ECI for Benefits for Private
Industry Workers in Management, Business, and Financial to measure
price growth of this subcategory. This ECI is calculated using the ECI
for Total Compensation for Private Industry Workers in Management,
Business, and Financial (BLS series code #CIU2010000110000I) and the
relative importance of wages and salaries within total compensation. We
believe this constructed ECI series is technically appropriate for the
reason stated above in the Wages and Salaries price proxy section.
Administrative
We are proposing to continue using the ECI for Benefits for Private
Industry Workers in Office and Administrative Support to measure price
growth of this subcategory. This ECI is calculated using the ECI for
Total Compensation for Private Industry Workers in Office and
Administrative Support (BLS series code #CIU2010000220000I) and the
relative importance of Wages and Salaries within Total Compensation. We
believe this constructed ECI series is technically appropriate for the
reason stated above in the wages and salaries price proxy section.
Services
We are proposing to continue using the ECI for Total Benefits for
Private Industry Workers in Service Occupations (BLS series code
#CIU2030000300000I) to measure price growth of this subcategory. We
believe this ECI series is technically appropriate for the reason
stated above in the Wages and Salaries price proxy section
We feel the proposed benefits ECI blend continues to be the most
appropriate price proxy to measure the growth of benefits prices faced
by ESRD facilities. Table 7 lists the four ECI series and the
corresponding weights used to construct the proposed benefits ECI
blend.
Table 7--Proposed ECI Blend for Benefits in the Proposed 2016-Based and 2012-Based ESRDB Market Baskets
----------------------------------------------------------------------------------------------------------------
Proposed 2016
Cost category ECI series weight 2012 Weight
(percent) (percent)
----------------------------------------------------------------------------------------------------------------
Health Related............................. ECI for Benefits for All Civilian 79.9 79.0
Workers in Hospitals.
Management................................. ECI for Benefits for Private 6.7 8.0
Industry Workers in Management,
Business, and Financial.
Administrative............................. ECI for Benefits for Private 7.7 7.0
Industry Workers in Office and
Administrative Support.
Services................................... ECI for Benefits for Private 5.7 6.0
Industry Workers in Service
Occupations.
----------------------------------------------------------------------------------------------------------------
Electricity
We propose to continue using the PPI Commodity for Commercial
Electric Power (BLS series code #WPU0542) to measure the price growth
of this cost category.
Natural Gas
We propose to continue using the PPI Commodity for Commercial
Natural Gas (BLS series code #WPU0552) to measure the price growth of
this cost category.
Water and Sewerage
We propose to continue using the CPI U.S. city average for Water
and Sewerage Maintenance (BLS series code #CUUR0000SEHG01) to measure
the price growth of this cost category.
Pharmaceuticals
We propose to continue using the PPI Commodity for Biological
Products, Excluding Diagnostic, for Human Use (which we will abbreviate
as PPI-BPHU) (BLS series code #WPU063719) as the price proxy for the
ESA drugs in the market basket. We propose to continue using the PPI
Commodity for Vitamin, Nutrient, and Hematinic Preparations (which we
will abbreviate as PPI-VNHP) (BLS series code #WPU063807) for all other
drugs included in the bundle other than ESAs.
The PPI-BPHU measures the price change of prescription biologics,
and ESAs would be captured within this index, if they are included in
the PPI sample. Since the PPI relies on confidentiality with respect to
the companies and drugs/biologicals included in the sample, we do not
know if these drugs are indeed reflected in this price index. However,
we believe the PPI-BPHU is an appropriate proxy to use because although
ESAs may be a small part of the fuller category of biological products,
we can examine whether the price increases for the ESA drugs are
similar to the drugs included in the PPI-BPHU. We did this by comparing
the historical price changes in the PPI-BPHU and the ASP for ESAs and
found the cumulative growth to be consistent over the past 4 years. We
will continue to monitor the trends in the prices for ESA drugs as
measured by other price data sources to ensure that the PPI-BPHU is
still an appropriate price proxy.
Additionally, since the non-ESA drugs used in the treatment of ESRD
are mainly vitamins and nutrients, we believe that the PPI-VNHP
continues to be the best available proxy for these types of drugs.
While this index does include over-the-counter drugs as well as
prescription drugs, a comparison of trends in the prices for non-ESA
drugs shows similar growth to the proposed PPI-VNHP.
Supplies
We propose to continue using the PPI Commodity for Surgical and
Medical Instruments (BLS series code #WPU1562) to measure the price
growth of this cost category.
Lab Services
We propose to continue using the PPI Industry for Medical
Laboratories (BLS series code #PCU621511621511) to measure the price
growth of this cost category.
Telephone Service
We propose to continue using the CPI U.S. city average for
Telephone Services (BLS series code #CUUR0000SEED) to measure the price
growth of this cost category.
Housekeeping and Operations
We propose to continue using the PPI Commodity for Cleaning and
Building Maintenance Services (BLS series code #WPU49) to measure the
price growth of this cost category.
[[Page 34326]]
Professional Fees
We propose to continue using the ECI for Total Compensation for
Private Industry Workers in Professional and Related (BLS series code #
CIU2010000120000I) to measure the price growth of this cost category.
All Other Goods and Services
We propose to continue using the PPI Commodity for Final demand--
Finished Goods Less Foods and Energy (BLS series code #WPUFD4131) to
measure the price growth of this cost category.
Capital-Related Building and Equipment
We propose to continue using the PPI Industry for Lessors of
Nonresidential Buildings (BLS series code #PCU531120531120) to measure
the price growth of this cost category.
Capital-Related Machinery
We propose to continue using the PPI Commodity for Electrical
Machinery and Equipment (BLS series code #WPU117) to measure the price
growth of this cost category.
Table 8 shows all the proposed price proxies and cost weights for
the proposed 2016-based ESRDB Market Basket.
Table 8--Proposed Price Proxies and Associated Cost Weights for the 2016-
Based ESRDB Market Basket
------------------------------------------------------------------------
Proposed 2016
Cost category Price proxy cost weight
------------------------------------------------------------------------
Total ESRDB market basket...... ....................... 100.0
Compensation................... ....................... 43.6
Wages and Salaries......... ....................... 34.5
Health-related......... ECI for Wages and 27.6
Salaries for All
Civilian Workers in
Hospitals.
Management............. ECI for Wages and 2.3
Salaries for Private
Industry Workers in
Management, Business,
and Financial.
Administrative......... ECI for Wages and 2.7
Salaries for Private
Industry Workers in
Office and
Administrative Support.
Services............... ECI for Wages and 2.0
Salaries for Private
Industry Workers in
Service Occupations.
Employee Benefits.......... ....................... 9.1
Health-related......... ECI for Total Benefits 7.3
for All Civilian
workers in Hospitals.
Management............. ECI for Total Benefits 0.6
for Private Industry
workers in Management,
Business, and
Financial.
Administrative......... ECI for Total Benefits 0.7
for Private Industry
workers in Office and
Administrative Support.
Services............... ECI for Total Benefits 0.5
for Private Industry
workers in Service
Occupations.
Utilities...................... ....................... 2.0
Electricity................ PPI Commodity for 1.1
Commercial Electric
Power.
Natural Gas................ PPI Commodity for 0.1
Commercial Natural Gas.
Water and Sewerage......... CPI-U for Water and 0.8
Sewerage Maintenance.
Medical Materials and Supplies. ....................... 24.9
Pharmaceuticals............ ....................... 12.4
ESAs................... PPI Commodity for 10.0
Biological Products,
Excluding Diagnostics,
for Human Use.
Other Drugs............ PPI Commodity for 2.4
Vitamin, Nutrient, and
Hematinic Preparations.
Supplies................... PPI Commodity for 10.4
Surgical and Medical
Instruments.
Lab Services............... PPI Industry for 2.2
Medical Laboratories.
All Other Goods and Services... ....................... 16.4
Telephone Service.......... CPI-U for Telephone 0.5
Services.
Housekeeping and Operations PPI Commodity for 3.9
Cleaning and Building
Maintenance Services.
Professional Fees.......... ECI for Total 0.7
Compensation for
Private Industry
Workers in
Professional and
Related.
All Other Goods and PPI for Final demand-- 11.3
Services. Finished Goods less
Foods and Energy.
Capital Costs.................. ....................... 13.0
Capital Related Building PPI Industry for 9.2
and Equipment. Lessors of
Nonresidential
Buildings.
Capital Related Machinery.. PPI Commodity for 3.8
Electrical Machinery
and Equipment.
------------------------------------------------------------------------
Note: The cost weights are calculated using three decimal places. For
presentational purposes, we are displaying one decimal and therefore,
the detail may not add to the total due to rounding.
ii. Proposed CY 2019 ESRD Market Basket Update, Adjusted for
Multifactor Productivity
Under section 1881(b)(14)(F) of the Act, beginning in CY 2012, ESRD
PPS payment amounts shall be annually increased by an ESRD market
basket percentage increase factor reduced by the productivity
adjustment. We propose to use the 2016-based ESRDB market basket as
described in this proposed rule to compute the CY 2019 ESRDB market
basket increase factor and labor-related share. Consistent with
historical practice, we estimate the ESRDB market basket update based
on IHS Global Inc.'s (IGI) forecast using the most recently available
data. IGI is a nationally recognized economic and financial forecasting
firm that contracts with CMS to forecast the components of the market
baskets.
a. Market Basket Update
Using this methodology and the IGI forecast for the first quarter
of 2018 of the proposed 2016-based ESRDB market basket (with historical
data through the fourth quarter of 2017), and consistent with our
historical practice of estimating market basket increases based on the
best available data, the proposed CY 2019 ESRDB market basket increase
factor is 2.2 percent.
b. Multifactor Productivity (MFP)
Under section 1881(b)(14)(F)(i) of the Act, as amended by section
3401(h) of the Affordable Care Act, for CY 2012 and each subsequent
year, the ESRD market basket percentage increase factor shall be
reduced by the productivity
[[Page 34327]]
adjustment described in section 1886(b)(3)(B)(xi)(II) of the Act. The
multifactor productivity (MFP) is derived by subtracting the
contribution of labor and capital input growth from output growth. The
detailed methodology for deriving the MFP projection was finalized in
the CY 2012 ESRD PPS final rule (76 FR 70232 through 70235). The most
up-to-date MFP projection methodology is available on the CMS website
at https://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/MedicareProgramRatesStats/MarketBasketResearch.html.
We are not proposing any changes to the methodology for the projection
of the MFP adjustment.
Using IGI's first quarter 2018 forecast, the proposed MFP
adjustment for CY 2019 (the 10-year moving average of MFP for the
period ending CY 2019) is projected to be 0.7 percent.
c. Market Basket Update Adjusted for Multifactor Productivity (MFP)
As a result of these provisions, the proposed CY 2019 ESRD market
basket increase is 1.5 percent. This market basket increase is
calculated by starting with the proposed 2016-based ESRDB market basket
percentage increase factor of 2.2 percent for CY 2019, and reducing it
by the MFP adjustment (the 10-year moving average of MFP for the period
ending CY 2019) of 0.7 percentage point. We are also proposing that if
more recent data are subsequently available (for example, a more recent
estimate of the market basket increase or MFP adjustment), we would use
such data to determine the market basket increase and MFP adjustment in
the CY 2019 ESRD PPS final rule.
The CY 2019 ESRDB increase factor would be the same if we used the
2012-based ESRDB market basket. That is, the CY 2019 ESRDB market
basket increase factor is 2.2 percent using the 2012-based ESRDB market
basket. Table 9 shows the increase factors under the proposed 2016-
based ESRDB and 2012-based ESRDB market basket.
Table 9--Historical and Projected Increase Factors Under the Proposed
2016-Based and 2012-Based ESRDB Market Basket
------------------------------------------------------------------------
Proposed 2016- 2012-Based
Calendar year (CY) Based ESRDB ESRDB market
market basket basket
------------------------------------------------------------------------
Historical Data:
CY 2015............................. 2.0 2.2
CY 2016............................. 1.9 2.0
CY 2017............................. 1.4 1.3
Forecast:
CY 2018............................. 1.9 1.9
CY 2019............................. 2.2 2.2
------------------------------------------------------------------------
Source: IHS Global Inc. 1st quarter 2018 forecast with historical data
through 4th quarter 2017.
iii. Proposed Labor-Related Share for ESRD PPS
We define the labor-related share (LRS) as those expenses that are
labor-intensive and vary with, or are influenced by, the local labor
market. The labor-related share of a market basket is determined by
identifying the national average proportion of operating costs that are
related to, influenced by, or vary with the local labor market. The
labor-related share is typically the sum of Wages and Salaries,
Benefits, Professional Fees, Labor-related Services, and a portion of
Capital from a given market basket.
We propose to use the proposed 2016-based ESRDB market basket cost
weights to determine the proposed labor-related share for ESRD
facilities. Therefore, effective for CY 2019, we are proposing a labor-
related share of 52.3 percent, slightly higher than the current 50.673
percent that was based on the 2012-based ESRD market basket, as shown
in Table 10 below. We propose to move the labor-related share to a one
decimal level of precision rather than the three decimal level of
precision used previously. CMS is migrating all payment system labor-
related shares to a one decimal level of precision. These figures
represent the sum of Wages and Salaries, Benefits, Housekeeping and
Operations, 87 percent of the weight for Professional Fees (details
discussed below), and 46 percent of the weight for Capital-related
Building and Equipment expenses (details discussed below). We used the
same methodology for the 2012-based ESRD market basket.
Table 10--Proposed CY 2019 Labor-Related Share and CY 2018 Labor-Related
Share
------------------------------------------------------------------------
Proposed CY
2019 ESRD CY 2018 ESRD
Cost category labor-related labor-related
share share
------------------------------------------------------------------------
Wages and salaries...................... 34.5 33.650
Employee Benefits....................... 9.1 8.847
Housekeeping and Operations............. 3.9 3.785
Professional Fees (Labor-Related)....... 0.6 0.537
Capital Labor-Related................... 4.2 3.854
-------------------------------
Total Labor-Related Share........... 52.3 50.673
------------------------------------------------------------------------
The labor-related share for Professional Fees reflects the
proportion of ESRD facilities' professional fees expenses that we
believe vary with local labor market (87 percent). We conducted a
survey of ESRD facilities in
[[Page 34328]]
2008 to better understand the proportion of contracted professional
services that ESRD facilities typically purchase outside of their local
labor market. These purchased professional services include functions
such as accounting and auditing, management consulting, engineering,
and legal services. Based on the survey results, we determined that, on
average, 87 percent of professional services are purchased from local
firms and 13 percent are purchased from businesses located outside of
the ESRD's local labor market. Thus, we are proposing to include 87
percent of the cost weight for Professional Fees in the labor-related
share (87 percent is the same percentage as used in prior years).
The labor-related share for capital-related expenses reflects the
proportion of ESRD facilities' capital-related expenses that we believe
varies with local labor market wages (46 percent of ESRD facilities'
Capital-related Building and Equipment expenses). Capital-related
expenses are affected in some proportion by variations in local labor
market costs (such as construction worker wages) that are reflected in
the price of the capital asset. However, many other inputs that
determine capital costs are not related to local labor market costs,
such as interest rates. The 46-percent figure is based on regressions
run for the inpatient hospital capital PPS in 1991 (56 FR 43375). We
use a similar methodology to calculate capital-related expenses for the
labor-related shares for rehabilitation facilities (70 FR 30233),
psychiatric facilities, long-term care facilities, and skilled nursing
facilities (66 FR 39585).
b. The Proposed CY 2019 ESRD PPS Wage Indices
i. Annual Update of the Wage Index
Section 1881(b)(14)(D)(iv)(II) of the Act provides that the ESRD
PPS may include a geographic wage index payment adjustment, such as the
index referred to in section 1881(b)(12)(D) of the Act, as the
Secretary determines to be appropriate. In the CY 2011 ESRD PPS final
rule (75 FR 49200), we finalized an adjustment for wages at Sec.
413.231. Specifically, CMS adjusts the labor-related portion of the
base rate to account for geographic differences in the area wage levels
using an appropriate wage index which reflects the relative level of
hospital wages and wage-related costs in the geographic area in which
the ESRD facility is located. We use the Office of Management and
Budget's (OMB's) CBSA-based geographic area designations to define
urban and rural areas and their corresponding wage index values (75 FR
49117). OMB publishes bulletins regarding CBSA changes, including
changes to CBSA numbers and titles. The bulletins are available online
at https://www.whitehouse.gov/omb/bulletins/.
For CY 2019, we would update the wage indices to account for
updated wage levels in areas in which ESRD facilities are located using
our existing methodology. We use the most recent pre-floor, pre-
reclassified hospital wage data collected annually under the inpatient
PPS. The ESRD PPS wage index values are calculated without regard to
geographic reclassifications authorized under sections 1886(d)(8) and
(d)(10) of the Act and utilize pre-floor hospital data that are
unadjusted for occupational mix. The proposed CY 2019 wage index values
for urban areas are listed in Addendum A (Wage Indices for Urban Areas)
and the proposed CY 2019 wage index values for rural areas are listed
in Addendum B (Wage Indices for Rural Areas). Addenda A and B are
located on the CMS Web site at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/ESRDpayment/End-Stage-Renal-Disease-ESRD-Payment-Regulations-and-Notices.html.
We have also adopted methodologies for calculating wage index
values for ESRD facilities that are located in urban and rural areas
where there is no hospital data. For a full discussion, see CY 2011 and
CY 2012 ESRD PPS final rules at 75 FR 49116 through 49117 and 76 FR
70239 through 70241, respectively. For urban areas with no hospital
data, we compute the average wage index value of all urban areas within
the state and use that value as the wage index. For rural areas with no
hospital data, we compute the wage index using the average wage index
values from all contiguous CBSAs to represent a reasonable proxy for
that rural area. We apply the statewide urban average based on the
average of all urban areas within the state to Hinesville-Fort Stewart,
Georgia (78 FR 72173), and we apply the wage index for Guam to American
Samoa and the Northern Mariana Islands (78 FR 72172). A wage index
floor value is applied under the ESRD PPS as a substitute wage index
for areas with very low wage index values. Currently, all areas with
wage index values that fall below the floor are located in Puerto Rico.
However, the wage index floor value is applicable for any area that may
fall below the floor.
In the CY 2011 ESRD PPS final rule (75 FR 49116 through 49117), we
finalized a decision to reduce the wage index floor by 0.05 for each of
the remaining years of the ESRD PPS transition, that is, until CY 2014.
We applied a 0.05 reduction to the wage index floor for CYs 2012 and
2013, resulting in a wage index floor of 0.5500 and 0.5000,
respectively (CY 2012 ESRD PPS final rule, 76 FR 70241). We continued
to apply and reduce the wage index floor by 0.05 in CY 2013 (77 FR
67459 through 67461). Although we only intended to provide a wage index
floor during the 4-year transition in the CY 2014 ESRD PPS final rule
(78 FR 72173), we decided to continue to apply the wage index floor and
reduce it by 0.05 per year for CY 2014 and for CY 2015.
In the CY 2016 ESRD PPS final rule (80 FR 69006 through 69008),
however, we decided to maintain a wage index floor of 0.4000, rather
than further reduce the floor by 0.05. We needed more time to study the
wage indices that are reported for Puerto Rico to assess the
appropriateness of discontinuing the wage index floor (80 FR 69006).
In the CY 2017 proposed rule (81 FR 42817), we presented the
findings from analyses of ESRD facility cost report and claims data
submitted by facilities located in Puerto Rico and mainland facilities.
We solicited public comments on the wage index for CBSAs in Puerto Rico
as part of our continuing effort to determine an appropriate policy. We
did not propose to change the wage index floor for CBSAs in Puerto
Rico, but we requested public comments in which stakeholders could
provide useful input for consideration in future decision-making.
Specifically, we solicited comment on the suggestions that were
submitted in the CY 2016 ESRD PPS final rule (80 FR 69007). After
considering the public comments we received regarding the wage index
floor, we finalized a wage index floor of 0.4000 in the CY 2017 ESRD
PPS final rule (81 FR 77858).
In the CY 2018 final rule (82 FR 50747), we finalized a policy to
permanently maintain the wage index floor of 0.4000, because we
believed it was appropriate and provided additional payment support to
the lowest wage areas. It also obviated the need for an additional
budget-neutrality adjustment that would reduce the ESRD PPS base rate,
beyond the adjustment needed to reflect updated hospital wage data, in
order to maintain budget neutrality for wage index updates.
ii. Wage Index Floor for CY 2019 and Subsequent Years
For CY 2019 and subsequent years, we are proposing to increase the
wage
[[Page 34329]]
index floor to 0.5. This wage floor increase is responsive to
stakeholder comments, safeguards access to care in areas at the lowest
end of the current wage index distribution, and is supported by data,
as discussed below, which supports a higher wage index floor.
Stakeholders, particularly those located in Puerto Rico, have expressed
the adverse impact the low wage index floor value has on a facility,
such as closure and the resulting impact on access to care. Also,
natural disasters (for example, hurricanes, floods) common to this
geographic area can cause significant infrastructure issues, create
limited resources, and create conditions that may accelerate kidney
failure in patients predisposed to chronic kidney disease, all of which
have a significant impact on renal dialysis services. These negative
effects of natural disasters on the local economy impact wages and
salaries. For example, there is the potential of the outmigration of
qualified staff that would cause a facility the need to change their
hiring practices or increase the wages that they would otherwise pay
had their not been a natural disaster.
In response to the CY 2018 ESRD proposed rule, commenters described
the economic and healthcare crisis in Puerto Rico and recommended that
CMS use the U.S. Virgin Islands wage index for payment rate
calculations in Puerto Rico as a proxy for CY 2018.
Commenters indicated that the primary issue is that Puerto Rico
hospitals report comparatively lower wages that are not adjusted for
occupational mix and, as indicated in the CY 2017 ESRD PPS proposed
rule (81 FR 42817), in Puerto Rico, only registered nurses (RNs) can
provide dialysis therapy in the outpatient setting. This staffing
variable artificially lowers the reportable index values even though
the actual costs of dialysis service wages in Puerto Rico are much
higher than the data CMS is relying upon. In addition, several
commenters stated that non-labor costs, including utilities and
shipping costs and the CY 2015 change in the labor-share based on the
rebased and revised ESRDB market basket compound the issue even
further.
One organization stated that it does not believe maintaining the
current wage index for Puerto Rico for CY 2018 is enough to offset the
poor economic conditions, high operational costs and epidemiologic
burden of ESRD on the island.
Since we did not propose to change the wage index floor or
otherwise change the wage indexes for Puerto Rico, we maintained the
wage index floor of 0.4000 for CY 2018. We noted that the current wage
index floor and labor-related share have been in effect since CY 2015
and neither the floor nor the labor share has been reduced since then.
More importantly, the wage index is solely intended to reflect
differences in labor costs and not to account for non-labor cost
differences, such as utilities or shipping costs (82 FR 50747).
With regard to staffing in Puerto Rico facilities, we noted that
ESRD facilities there utilize RNs similarly to ESRD facilities on the
mainland, that is, facilities utilize dialysis technicians and aides to
provide dialysis services with oversight by an RN and that hourly wages
for RNs and dialysis support staff were approximately half of those
salaries in mainland ESRD facilities. For those reasons, we do not
agree that the hospital-reported data is unreliable, and we believe
using that data is more appropriate than applying the wage index value
for the Virgin Islands where salaries are considerably higher.
Even though we did not propose a change in the wage index floor for
CY 2018, we continued to analyze the cost of furnishing dialysis care
in Puerto Rico, staffing in Puerto Rico ESRD facilities and hospital
wage data. While we found the analyses to be inconclusive for the
CY2018 ESRD PPS final rule (82 FR 50746), in light of the recent
natural disasters that profoundly impacted delivery of ESRD care in
Puerto Rico, we revisited the analyses and concluded that we should
propose a new wage index floor. We conducted various analyses to test
the reasonableness of the current wage index floor value of 0.4000. The
details of these analyses and our proposal are provided below.
a. Analysis of Puerto Rico Cost Reports
We performed an analysis using cost reports and wage information
specific to Puerto Rico from the BLS (https://www.bls.gov/oes/2015/may/oes_pr.htm). The analysis used data from cost reports for freestanding
facilities and hospital-based facilities in Puerto Rico for CYs 2013
through 2015 are as follows:
The analysis utilized data from cost reports for
freestanding facilities and for hospital-based facilities. Note that
the available variables differ between these two sources. For
freestanding facilities, data were obtained regarding treatment counts,
costs, salaries, benefits, and FTEs by labor category. For hospital-
based facilities, a more limited set of variables are available for
treatment counts and FTEs.
We annualized cost report data for each facility in order
to create one cost report record per facility per calendar. If cost
report forms were submitted at a non-calendar-year cycle, multiple cost
report records were proportionated and combined in order to create an
annualized cost report record.
We calculated weighted means across all facilities for
each variable. The means were weighted by treatment counts, where
facilities with more treatment counts contributed more to the value of
the overall mean.
Using this data, we calculated alternative wage indices for Puerto
Rico that combined labor quantities (FTEs) from cost reports with BLS
wage information to create two regular Laspeyres price indexes. The
Laspeyres index can be thought of as a price index in which there are
two prices for goods (prices for labor FTEs in Puerto Rico and the
mainland U.S.), where the distribution of goods (labor share of FTEs)
is held constant (across Puerto Rico and the U.S.). The first index
used quantity weights from the overall U.S. use of labor inputs. The
second index used quantity weights from the PR use of labor inputs.
The alternative wage indices derived from the analysis indicate
that Puerto Rico's wage index likely lies between 0.5100 and 0.5500.
Both of these values are above the current wage index floor and suggest
that the current 0.4000 wage index floor may be too low.
b. Statistical Analysis of the Distribution of the Wage Index
We also performed a statistical outlier analysis to identify the
upper and lower boundaries of the distribution of the current wage
index values and remove outlier values at the edges of the
distribution.
In the general sense, an outlier is an observation that lies an
abnormal distance from other values in a population. In this case, the
population of values is the various wage indices within the CY 2019
wage index. The lower and upper quartiles (the 25th and 75th
percentiles) are also used. The lower quartile is Q1 and the upper
quartile is Q3. The difference (Q3-Q1) is called the interquartile
range (IQR). The IQR is used in calculating the inner and outer fences
of a data set. The inner fences are needed for identifying mild outlier
values in the edges of the distribution of a data set. Any values in
the data set that are outside of the inner fences are identified as an
outlier. The standard multiplying value for identifying the inner
fences is 1.5.
First, we identified the Q1 and Q3 quartiles of the CY 2018 wage
index, which are as follows: Q1 = 0.8303 and Q3 = 0.9881. Next, we
identified the
[[Page 34330]]
IQR: IQR = 0.9881-0.8303 = 0.578. Finally, we identified the inner
fence values as shown below.
Lower inner fence: Q1-1.5 * IQR = 0.8303-(1.5 x 0.1578) = 0.5936
Upper inner fence: Q3 + 1.5 * IQR = .881 + (1.5 x 0.1578) = 1.2248
This statistical outlier analysis demonstrates that any wage index
values less than 0.5936 are considered outlier values, and 0.5936 as
the lower boundary also may suggest that the current wage index floor
could be appropriately reset at a higher level.
Based on these analyses, we are proposing a wage index floor of
0.5000. We believe this increase from the current 0.4000 wage index
floor value minimizes the impact to the base rate while providing
increased payment to areas that need it. We considered the various wage
index floor values based on our analyses. While the statistical
analysis supports our decision to propose a higher wage index floor,
the cost report analysis is more definitive as it is based on reported
wages using an alternative data source. As a result, we considered wage
index floor values between 0.4000 and 0.5500 and are proposing 0.5000
in an effort to strike a balance between providing additional payments
to affected areas while minimizing the impact on the base rate. We
believe the proposed 25 percent increase from the current 0.4000 value
would help to address stakeholder requests for a higher wage index
floor, minimize patient access issues, and would have a lower impact to
the base rate than if we proposed a higher wage index floor value.
The wage index floor directly affects the base rate and currently,
only rural Puerto Rico and four urban CBSAs in Puerto Rico receive the
wage index floor of 0.4000. The next lowest wage index is in the
Wheeling, West Virginia CBSA with a value of 0.6599. Under this
proposal, all CBSAs in Puerto Rico would receive the wage index floor
of 0.5000. Though the proposed wage index value currently affects CBSAs
in Puerto Rico, we note that, consistent with our established policy,
any CBSA that falls below the floor would be eligible to receive the
floor. We solicit comment on the proposal to increase the wage index
floor from 0.4000 to 0.5000 for CY 2019 and beyond.
iii. Application of the Wage Index Under the ESRD PPS
A facility's wage index is applied to the labor-related share of
the ESRD PPS base rate. In section II.B.3.b of this proposed rule, we
are proposing the labor-related share of 52.3 percent, which is based
on the proposed 2016-based ESRDB market basket. Thus, for CY 2019, the
labor-related share to which a facility's wage index would be applied
is 52.3 percent.
iv. New Urban Core-Based Statistical Area (CBSA)
On August 15, 2017, OMB issued OMB Bulletin No. 17-01, which
provided updates to and superseded OMB Bulletin No. 15-01 that was
issued on July 15, 2015. The attachments to OMB Bulletin No. 17-01
provide detailed information on the update to statistical areas since
July 15, 2015, and are based on the application of the 2010 Standards
for Delineating Metropolitan and Micropolitan Statistical Areas to the
U.S. Census Bureau population estimates for July 1, 2014 and July 1,
2015. In OMB Bulletin No. 17-01, OMB announced that one Micropolitan
Statistical Area now qualifies as a Metropolitan Statistical Area. The
new urban CBSA is as follows:
Twin Falls, Idaho (CBSA 46300). This CBSA is comprised of
the principal city of Twin Falls, Idaho in Jerome County, Idaho and
Twin Falls County, Idaho.
The OMB bulletin is available on the OMB Web site at https://www.whitehouse.gov/sites/whitehouse.gov/files/omb/bulletins/2017/b-17-01.pdf. We did not have sufficient time to include this change in the
computation of the proposed CY 2019 wage index, rate setting, and
Addenda associated with this proposed rule. This new CBSA may affect
the budget neutrality factors and wage indexes, depending on the impact
of the overall payments of the hospital located in this new CBSA. In
this proposed rule, we are providing an estimate of this new area's
wage index based on the average hourly wage, unadjusted for
occupational mix, for new CBSA 46300 and the national average hourly
wages from the wage data for the proposed CY 2019 wage index.
Currently, provider 130002 is the only hospital located in Twin Falls
County, Idaho, and there are no hospitals located in Jerome County,
Idaho. Thus, the proposed wage index for CBSA 46300 is calculated using
the average hourly wage data for one provider (provider 130002).
Taking the estimated unadjusted average hourly wage of
$35.833564813 of the new CBSA 46300 and dividing by the national
average hourly wage of $42.990625267 results in the proposed estimated
wage index of 0.8335 for CBSA 46300.
In the final rule, we would incorporate this change into the final
CY 2019 ESRD PPS wage index, rate setting and Addenda associated with
the final rule. Thus, for CY 2019, we would use the OMB delineations
that were adopted beginning with CY 2015 to calculate the area wage
indexes, with updates as reflected in OMB Bulletin Nos. 13-01, 15-01,
and 17-01.
c. Proposed CY 2019 Update to the Outlier Policy
Section 1881(b)(14)(D)(ii) of the Act requires that the ESRD PPS
include a payment adjustment for high cost outliers due to unusual
variations in the type or amount of medically necessary care, including
variability in the amount of erythropoiesis stimulating agents (ESAs)
necessary for anemia management. Some examples of the patient
conditions that may be reflective of higher facility costs when
furnishing dialysis care would be frailty, obesity, and comorbidities,
such as cancer. The ESRD PPS recognizes high cost patients, and we have
codified the outlier policy and our methodology for calculating outlier
payments at Sec. 413.237. The policy provides that the following ESRD
outlier items and services are included in the ESRD PPS bundle: (1)
ESRD-related drugs and biologicals that were or would have been, prior
to January 1, 2011, separately billable under Medicare Part B; (2)
ESRD-related laboratory tests that were or would have been, prior to
January 1, 2011, separately billable under Medicare Part B; (3)
medical/surgical supplies, including syringes, used to administer ESRD-
related drugs that were or would have been, prior to January 1, 2011,
separately billable under Medicare Part B; and (4) renal dialysis
services drugs that were or would have been, prior to January 1, 2011,
covered under Medicare Part D, including ESRD-related oral-only drugs
effective January 1, 2025.
In the CY 2011 ESRD PPS final rule (75 FR 49142), we stated that
for purposes of determining whether an ESRD facility would be eligible
for an outlier payment, it would be necessary for the facility to
identify the actual ESRD outlier services furnished to the patient by
line item (that is, date of service) on the monthly claim. Renal
dialysis drugs, laboratory tests, and medical/surgical supplies that
are recognized as outlier services were originally specified in
Attachment 3 of Change Request 7064, Transmittal 2033 issued August 20,
2010, rescinded and replaced by Transmittal 2094, dated November 17,
2010. Transmittal 2094 identified additional drugs and laboratory tests
that may also be eligible for ESRD outlier payment. Transmittal 2094
was rescinded and replaced by
[[Page 34331]]
Transmittal 2134, dated January 14, 2011, which was issued to correct
the subject on the Transmittal page and made no other changes.
Furthermore, we use administrative issuances and guidance to
continually update the renal dialysis service items available for
outlier payment via our quarterly update CMS Change Requests, when
applicable. We use this separate guidance to identify renal dialysis
service drugs that were or would have been covered under Medicare Part
D for outlier eligibility purposes and in order to provide unit prices
for calculating imputed outlier services. In addition, we also identify
through our monitoring efforts items and services that are either
incorrectly being identified as eligible outlier services or any new
items and services that may require an update to the list of renal
dialysis items and services that qualify as outlier services, which are
made through administrative issuances.
Under Sec. 413.237, an ESRD facility is eligible for an outlier
payment if its actual or imputed MAP amount per treatment for ESRD
outlier services exceeds a threshold. The MAP amount represents the
average incurred amount per treatment for services that were or would
have been considered separately billable services prior to January 1,
2011. The threshold is equal to the ESRD facility's predicted ESRD
outlier services MAP amount per treatment (which is case-mix adjusted
and described below) plus the fixed-dollar loss (FDL) amount. In
accordance with Sec. 413.237(c) of our regulations, facilities are
paid 80 percent of the per treatment amount by which the imputed MAP
amount for outlier services (that is, the actual incurred amount)
exceeds this threshold. ESRD facilities are eligible to receive outlier
payments for treating both adult and pediatric dialysis patients.
In the CY 2011 ESRD PPS final rule and at Sec. 413.220(b)(4),
using 2007 data, we established the outlier percentage, which is used
to reduce the per treatment base rate to account for the proportion of
the estimated total payments under the ESRD PPS that are outlier
payments, at 1.0 percent of total payments (75 FR 49142 through 49143).
We also established the FDL amounts that are added to the predicted
outlier services MAP amounts. The outlier services MAP amounts and FDL
amounts are different for adult and pediatric patients due to
differences in the utilization of separately billable services among
adult and pediatric patients (75 FR 49140). As we explained in the CY
2011 ESRD PPS final rule (75 FR 49138 through 49139), the predicted
outlier services MAP amounts for a patient are determined by
multiplying the adjusted average outlier services MAP amount by the
product of the patient-specific case-mix adjusters applicable using the
outlier services payment multipliers developed from the regression
analysis to compute the payment adjustments.
For CY 2019, we propose that the outlier services MAP amounts and
FDL amounts would be derived from claims data from CY 2017. Because we
believe that any adjustments made to the MAP amounts under the ESRD PPS
should be based upon the most recent data year available in order to
best predict any future outlier payments, we propose the outlier
thresholds for CY 2019 would be based on utilization of renal dialysis
items and services furnished under the ESRD PPS in CY 2017. We
recognize that the utilization of ESAs and other outlier services have
continued to decline under the ESRD PPS, and that we have lowered the
MAP amounts and FDL amounts every year under the ESRD PPS.
In the CY 2018 ESRD PPS final rule (82 FR 50748), we stated that
based on the CY 2016 claims data, outlier payments represented
approximately 0.78 percent of total payments. For this proposed rule,
as discussed below, CY 2017 claims data show outlier payments
represented approximately 0.80 percent of total payments.
i. CY 2019 Update to the Outlier Services Medicare Allowable Payment
(MAP) Amounts and Fixed Dollar Loss (FDL) Amounts
For CY 2019, we propose to update the outlier services MAP amounts
and FDL amounts to reflect the utilization of outlier services reported
on 2017 claims. For this proposed rule, the outlier services MAP
amounts and FDL amounts were updated using 2017 claims data. The impact
of this update is shown in Table 11, which compares the outlier
services MAP amounts and FDL amounts used for the outlier policy in CY
2017 with the updated proposed estimates for this rule. The estimates
for the proposed CY 2019 outlier policy, which are included in Column
II of Table 11, were inflation adjusted to reflect projected 2019
prices for outlier services.
Table 11--Outlier Policy: Impact of Using Updated Data To Define the Outlier Policy
----------------------------------------------------------------------------------------------------------------
Column I Final outlier policy Column II Proposed outlier
for CY 2018 (based on 2016 policy for CY 2019 (based on
data, price inflated to 2018)* 2017 data, price inflated to
-------------------------------- 2019)
-------------------------------
Age <18 Age >=18 Age <18 Age >=18
----------------------------------------------------------------------------------------------------------------
Average outlier services MAP amount per 37.41 44.27 34.33 41.97
treatment......................................
Adjustments..................................... .............. .............. .............. ..............
Standardization for outlier services............ 1.0177 0.9774 1.0588 0.9786
MIPPA reduction................................. 0.98 0.98 0.98 0.98
Adjusted average outlier services MAP amount.... $37.31 $42.41 $35.62 $40.25
Fixed-dollar loss amount that is added to the $47.79 $77.54 $47.88 $69.73
predicted MAP to determine the outlier
threshold......................................
Patient-months qualifying for outlier payment... 9.0% 7.4% 9.2% 8.0%
----------------------------------------------------------------------------------------------------------------
* Note that Column I was obtained from Column II of Table 1 from the CY 2018 ESRD PPS final rule (82 FR 50749).
As demonstrated in Table 11, the estimated FDL amount per treatment
that determines the CY 2019 outlier threshold amount for adults (Column
II; $69.73) is lower than that used for the CY 2018 outlier policy
(Column I; $77.54). The lower threshold is accompanied by a decrease in
the adjusted average MAP for outlier services from $42.41 to $40.25.
For pediatric patients, there is a slight increase in the FDL amount
from $47.79 to $47.88. There is a corresponding decrease in the
adjusted average MAP
[[Page 34332]]
for outlier services among pediatric patients, from $37.31 to $35.62.
We estimate that the percentage of patient months qualifying for
outlier payments in CY 2019 will be 8.0 percent for adult patients and
9.2 percent for pediatric patients, based on the 2017 claims data. The
pediatric outlier MAP and FDL amounts continue to be lower for
pediatric patients than adults due to the continued lower use of
outlier services (primarily reflecting lower use of ESAs and other
injectable drugs).
ii. Outlier Percentage
In the CY 2011 ESRD PPS final rule (75 FR 49081) and under Sec.
413.220(b)(4), we reduced the per treatment base rate by 1 percent to
account for the proportion of the estimated total payments under the
ESRD PPS that are outlier payments as described in Sec. 413.237. Based
on the 2017 claims, outlier payments represented approximately 0.80
percent of total payments, slightly below the 1 percent target due to
declines in the use of outlier services. Recalibration of the
thresholds using 2017 data is expected to result in aggregate outlier
payments close to the 1 percent target in CY 2019. We believe the
update to the outlier MAP and FDL amounts for CY 2019 would increase
payments for ESRD beneficiaries requiring higher resource utilization
and move us closer to meeting our 1 percent outlier policy because we
are using more current data for computing the MAP and FDL which is more
in line with current outlier services utilization rates. We note that
recalibration of the FDL amounts in this proposed rule would result in
no change in payments to ESRD facilities for beneficiaries with renal
dialysis items and services that are not eligible for outlier payments,
but would increase payments to ESRD facilities for beneficiaries with
renal dialysis items and services that are eligible for outlier
payments, as well as co-insurance obligations for beneficiaries with
renal dialysis services eligible for outlier payments.
iii. Solicitation on the Expansion of the Outlier Policy
Currently, former separately payable Part B drugs, laboratory
services, and supplies are eligible for the outlier payment. In the
interest of promoting innovation, ensuring appropriate payment for all
drugs and biologicals, and as a complement to the TDAPA proposals, we
are soliciting comment on whether we should expand the outlier policy
to include composite rate drugs and supplies. With the proposed
expansion to the drug designation process discussed in section II.B.1.f
of this proposed rule, such expansion of the outlier policy could
promote appropriate payment for composite rate drugs once the TDAPA
period has ended. Additionally, with regard to composite rate supplies,
an expansion of the outlier policy could promote use of new innovative
devices or items that would otherwise be considered in the bundled
payment. If commenters believe such an approach is appropriate, we are
requesting they provide input on how we would effectuate such a shift
in policy. For example, the reporting of these services may be
challenging since they have never been reported on ESRD claims
previously. We are particularly interested in feedback about how such
items might work under the existing outlier framework or whether
specific changes to the policy to accommodate such items are needed. We
will consider all comments and address by making proposals, if
appropriate, in future rulemaking.
d. Proposed Impacts to the CY 2019 ESRD PPS Base Rate
i. ESRD PPS Base Rate
In the CY 2011 ESRD PPS final rule (75 FR 49071 through 49083), we
established the methodology for calculating the ESRD PPS per-treatment
base rate, that is, ESRD PPS base rate, and the determination of the
per-treatment payment amount, which are codified at Sec. 413.220 and
Sec. 413.230. The CY 2011 ESRD PPS final rule also provides a detailed
discussion of the methodology used to calculate the ESRD PPS base rate
and the computation of factors used to adjust the ESRD PPS base rate
for projected outlier payments and budget neutrality in accordance with
sections 1881(b)(14)(D)(ii) and 1881(b)(14)(A)(ii) of the Act,
respectively. Specifically, the ESRD PPS base rate was developed from
CY 2007 claims (that is, the lowest per patient utilization year as
required by section 1881(b)(14)(A)(ii) of the Act), updated to CY 2011,
and represented the average per treatment MAP for composite rate and
separately billable services. In accordance with section 1881(b)(14)(D)
of the Act and our regulation at Sec. 413.230, per-treatment payment
amount is the sum of the ESRD PPS base rate, adjusted for the patient
specific case-mix adjustments, applicable facility adjustments,
geographic differences in area wage levels using an area wage index,
and any applicable outlier payment and training adjustment add-on.
ii. Annual Payment Rate Update for CY 2019
We are proposing an ESRD PPS base rate for CY 2019 of $235.82. This
update reflects several factors, described in more detail as follows:
Market Basket Increase: Section 1881(b)(14)(F)(i)(I) of
the Act provides that, beginning in 2012, the ESRD PPS payment amounts
are required to be annually increased by the ESRD market basket
percentage increase factor. The latest CY 2019 projection for the
proposed ESRDB market basket is 2.2 percent. In CY 2019, this amount
must be reduced by the productivity adjustment described in section
1886(b)(3)(B)(xi)(II) of the Act, as required by section
1881(b)(14)(F)(i)(II) of the Act. As discussed above, the proposed MFP
adjustment for CY 2019 is 0.7 percent, thus yielding a proposed update
to the base rate of 1.5 percent for CY 2019. Therefore, the proposed
ESRD PPS base rate for CY 2019 before application of the wage index
budget-neutrality adjustment factor would be $235.86 ($232.37 x 1.0150
= $235.86).
Wage Index Budget-Neutrality Adjustment Factor: We compute
a wage index budget-neutrality adjustment factor that is applied to the
ESRD PPS base rate. For CY 2019, we are not proposing any changes to
the methodology used to calculate this factor, which is described in
detail in the CY 2014 ESRD PPS final rule (78 FR 72174). We computed
the proposed CY 2019 wage index budget-neutrality adjustment factor
using treatment counts from the 2017 claims and facility-specific CY
2018 payment rates to estimate the total dollar amount that each ESRD
facility would have received in CY 2018. The total of these payments
became the target amount of expenditures for all ESRD facilities for CY
2019. Next, we computed the estimated dollar amount that would have
been paid for the same ESRD facilities using the ESRD wage index for CY
2019. The total of these payments becomes the new CY 2019 amount of
wage-adjusted expenditures for all ESRD facilities. The wage index
budget-neutrality factor is calculated as the target amount divided by
the new CY 2019 amount. When we multiplied the wage index budget-
neutrality factor by the applicable CY 2019 estimated payments,
aggregate payments to ESRD facilities would remain budget neutral when
compared to the target amount of expenditures. That is, the wage index
budget-neutrality adjustment factor ensures that wage index adjustments
do not increase or decrease aggregate
[[Page 34333]]
Medicare payments with respect to changes in wage index updates.
The CY 2019 proposed wage index budget-neutrality adjustment factor
is 0.999833. This application would yield a CY 2019 ESRD PPS proposed
base rate of $235.82 ($235.75 x 0.999833 = $235.82).
In summary, we are proposing a CY 2019 ESRD PPS base rate of
$235.82. This amount reflects a proposed market basket increase of 1.5
percent and the proposed CY 2019 wage index budget-neutrality
adjustment factor of 0.999833.
C. Solicitation for Information on Transplant and Modality Requirements
When an individual is faced with failing kidneys, life-extending
treatment is available. The most common treatment is dialysis, but the
best treatment is receiving a kidney transplant from a living or
deceased donor. Dialysis, either HD or PD, can sustain life by removing
impurities and extra fluids but cannot do either job as consistently or
efficiently as a functioning kidney. Dialysis also carries risks of its
own, including anemia, bone disease, hypotension, hypertension, heart
disease, muscle cramps, itching, fluid overload, nerve damage,
depression, and infection. Timely transplantation, despite requiring a
major surgery and ongoing medication, offers recipients a longer,
higher quality of life, without the ongoing risks of dialysis.
Unfortunately, the number of people waiting for healthy donor kidneys
far exceeds the number of available organs. In 2015, the most recent
year for which complete data is available, 18,805 kidney transplants
were performed in the U.S., while over 80,000 individuals remained on
waiting lists (https://www.usrds.org/2017/view/v2_06.aspx). That same
year, there were 124,114 newly reported cases of ESRD and over 703,243
prevalent cases of ESRD (https://www.usrds.org/2017/view/v2_01.aspx).
In recognition of the superiority of transplantation but the need
for dialysis, CMS has required for nearly 10 years that Medicare-
certified dialysis facilities evaluate all patients for transplant
suitability and make appropriate referrals to local transplant centers
(73 FR 20370). Specifically, dialysis facilities must:
Inform every patient about all treatment modalities,
including transplantation (Sec. 494.70(a)(7)).
Evaluate every patient for suitability for a
transplantation referral (Sec. 494.80(b)(10)).
Document any basis for non-referral in the patient's
medical record (Sec. 494.80(b)(10)).
Develop plans for pursuing transplantation for every
patient who is a transplant referral candidate (Sec.
494.90(a)(7)(ii)).
Track the results of each kidney transplant center
referral (Sec. 494.90(c)(1)).
Monitor the status of any facility patients who are on the
transplant waitlist (Sec. 494.90(c)(2)).
Communicate with the transplant center regarding patient
transplant status at least annually, and when there is a change in
transplant candidate status (Sec. 494.90(c)(3)).
Educate patients, family members, or caregivers or both
about transplantation, as established in a patient's plan of care
(Sec. 494.90(d)).
Despite these requirements, the percentage of prevalent dialysis
patients wait-listed for a kidney has recently declined (https://www.usrds.org/2017/view/v2_06.aspx, Figure 6.2), meaning that fewer
people have the opportunity to be matched with a donor kidney. Some
individuals do receive kidneys directly from suitable friends or family
members, but still must be placed on the waiting list. Organ
Procurement and Transplantation Network (OPTN) policy requires that all
transplant recipients, including recipients of organs from living
donors, be registered and added to the OPTN waiting list. Until a
dialysis patient is referred to a transplant center, he or she is not
able to be placed on the waiting list, and is ineligible to receive a
kidney. While dialysis facilities have no control over the total supply
of kidneys made available for transplantation, transplantation
education, referral, and waitlist tracking are appropriate and
necessary services for them to furnish. Unfortunately, there are
performance gaps and disparities between dialysis facilities in
providing these services.\3\ Therefore, as discussed in section
IV.C.1.a. of section IV ``End-Stage Renal Disease Quality Incentive
Program (ESRD QIP)'' of this proposed rule, we are proposing a
reporting measure under the ESRD QIP that would track the percentage of
patients at each dialysis facility who are on the kidney or kidney-
pancreas transplant waiting list. We are also soliciting input on other
ways to increase kidney transplant referrals and improve the tracking
process for patients on the waitlist:
---------------------------------------------------------------------------
\3\ R.E. Patzer, L. Plantinga, J. Krisher, S.O. Pastan,
``Dialysis facility and network factors associated with low kidney
transplantation rates among U.S. dialysis facilities,'' American
Journal of Transplantation, 2014 Jul; 14(7):1562-72; and Sudeshna
Paul, Laura C. Plantinga, Stephen O. Pastan, Jennifer C. Gander,
Sumit Mohan, and Rachel E. Patzer, ``Standardized Transplantation
Referral Ratio to Assess Performance of Transplant Referral among
Dialysis Facilities,'' Clinical Journal of the American Society of
Nephrology, January 2018.
---------------------------------------------------------------------------
Are there ways to ensure facilities are meeting the
Conditions for Coverage (CfC) requirements, in addition to the survey
process?
Are the current dialysis facility CfC requirements
addressing transplantation support services adequately, or should
additional requirements be considered?
We welcome your input.
With regard to other treatment for failed kidneys, HD performed in
an outpatient dialysis center is most common, followed by HD performed
at home, and PD (almost always performed at home). Just as we are
concerned about disparities in access to transplantation, we are also
concerned about disparities in access to dialysis modality options.
Although ESRD disproportionately affects racial and ethnic minority
patients, minority individuals are far less likely to be treated with
home dialysis than white patients.\4\ Home dialysis modalities
necessitate a higher level of self-care than in-center care, and are
not appropriate for or desired by every dialysis patient. We are
concerned, however that not all dialysis patients are aware of, or
given the opportunity to learn about, home modalities or their
benefits--primarily greater independence and flexibility. Individuals
performing home dialysis treatments are able to schedule their
treatments at times most convenient for them, allowing them to
coordinate with family and work schedules, and eliminate the need for
thrice weekly transportation to and from a dialysis facility. The
transportation savings are especially valuable to rural individuals,
who might have to travel hours each week for regular treatments in a
facility.
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\4\ Mehrotra, R., Soohoo, M., Rivara, M.B., Himmelfarb, J.,
Cheung, A.K., Arah, O.A., Nissenson, A.R., Ravel, V., Streja, E.,
Kuttykrishnan, S., Katz, R., Molnar, M., Kalantar-Zadeh, K.,
``Racial and Ethnic Disparities in Use of and Outcomes with Home
Dialysis in the United States,'' Journal of the American Society of
Nephrology December 10, 2015.
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We take this opportunity to remind dialysis facilities of their
responsibilities regarding modality education and options. Some
dialysis facilities do not support home modalities, but all facilities
are required to make appropriate referrals if a patient elects to
pursue home treatments. Specifically, dialysis facilities must:
Inform every patient about all treatment modalities,
including transplantation, home dialysis modalities (home HD,
intermittent PD, continuous ambulatory PD, continuous
[[Page 34334]]
cycling PD), and in-facility HD (Sec. 494.70(a)(7)).
Ensure all patients are provided access to resource
information for dialysis modalities not offered by the facility,
including information about alternative scheduling options for working
patients (Sec. 494.70(a)(7)).
Assess every patient's abilities, interests, preferences,
and goals, including the desired level of participation in the dialysis
care process; the preferred modality (hemodialysis or peritoneal
dialysis), and setting, (for example, home dialysis), and the patient's
expectations for care outcomes (Sec. 494.80(a)(9)).
Identify a plan for every patient's home dialysis or
explain why the patient is not a candidate for home dialysis (Sec.
494.90(a)(7)(i)).
Provide education and training, as applicable, to patients
and family members or caregivers or both, in aspects of the dialysis
experience, dialysis management, infection prevention and personal
care, home dialysis and self-care, quality of life, rehabilitation,
transplantation, and the benefits and risks of various vascular access
types (Sec. 494.90(d)).
Persons with failed kidneys often begin dialysis with no prior
exposure to nephrology care or knowledge of treatment options. The
practitioners and professionals who care for them are best suited to
provide the necessary information to support informed, shared decision-
making. Patient education is not a one-time incident, but an ongoing
aspect of all health care services and settings. We welcome your
suggestions on ways to ensure that dialysis facilities are meeting
these obligations, and to ensure equal access to dialysis modalities.
III. CY 2019 Payment for Renal Dialysis Services Furnished to
Individuals With Acute Kidney Injury (AKI)
A. Background
The Trade Preferences Extension Act of 2015 (TPEA), Public Law 114-
27, was enacted on June 29, 2015, and amended the Act to provide
coverage and payment for dialysis furnished by an ESRD facility to an
individual with acute kidney injury (AKI). Specifically, section 808(a)
of the TPEA amended section 1861(s)(2)(F) of the Act to provide
coverage for renal dialysis services furnished on or after January 1,
2017, by a renal dialysis facility or a provider of services paid under
section 1881(b)(14) of the Act to an individual with AKI. Section
808(b) of the TPEA amended section 1834 of the Act by adding a new
paragraph (r) to provide payment, beginning January 1, 2017, for renal
dialysis services furnished by renal dialysis facilities or providers
of services paid under section 1881(b)(14) of the Act to individuals
with AKI at the ESRD PPS base rate, as adjusted by any applicable
geographic adjustment applied under section 1881(b)(14)(D)(iv)(II) of
the Act and adjusted (on a budget neutral basis for payments under
section 1834(r) of the Act) by any other adjustment factor under
section 1881(b)(14)(D) of the Act that the Secretary elects.
In the CY 2017 ESRD PPS final rule, we finalized several coverage
and payment policies in order to implement subsection (r) of section
1834 of the Act and the amendments to section 1881(s)(2)(F) of the Act,
including the payment rate for AKI dialysis (81 FR 77866 through 77872,
and 77965). We interpret section 1834(r)(1) of the Act as requiring the
amount of payment for AKI dialysis services to be the base rate for
renal dialysis services determined for a year under the ESRD base rate
as set forth in Sec. 413.220, updated by the ESRD bundled market
basket percentage increase factor minus a productivity adjustment as
set forth in Sec. 413.196(d)(1), adjusted for wages as set forth in
Sec. 413.231, and adjusted by any other amounts deemed appropriate by
the Secretary under Sec. 413.373. We codified this policy in Sec.
413.372 (81 FR 77965).
B. Annual Payment Rate Update for CY 2019
1. CY 2019 AKI Dialysis Payment Rate
The payment rate for AKI dialysis is the ESRD PPS base rate
determined for a year under section 1881(b)(14) of the Act, which is
the finalized ESRD PPS base rate, including market basket adjustments,
wage adjustments and any other discretionary adjustments, for such
year. We note that ESRD facilities have the ability to bill Medicare
for non-renal dialysis items and services and receive separate payment
in addition to the payment rate for AKI dialysis.
As discussed in section II.B.3.d of this proposed rule, the CY 2019
proposed ESRD PPS base rate is $235.82, which reflects the proposed
ESRD bundled market basket and multifactor productivity adjustment.
Accordingly, we are proposing a CY 2019 per treatment payment rate of
$235.82 for renal dialysis services furnished by ESRD facilities to
individuals with AKI. This payment rate is further adjusted by the wage
index as discussed below.
2. Geographic Adjustment Factor
Under section 1834(r)(1) of the Act and Sec. 413.372, the amount
of payment for AKI dialysis services is the base rate for renal
dialysis services determined for a year under section 1881(b)(14) of
the Act (updated by the ESRD bundled market basket and multifactor
productivity adjustment), as adjusted by any applicable geographic
adjustment factor applied under section 1881(b)(14)(D)(iv)(II) of the
Act. Accordingly, we apply the same wage index under Sec. 413.231 that
is used under the ESRD PPS and discussed in section II.B.3.f of this
proposed rule. The AKI dialysis payment rate is adjusted by the wage
index for a particular ESRD facility in the same way that the ESRD PPS
base rate is adjusted by the wage index for that facility (81 FR
77868). Specifically, we apply the wage index to the labor-related
share of the ESRD PPS base rate that we utilize for AKI dialysis to
compute the wage adjusted per-treatment AKI dialysis payment rate. As
stated above, we are proposing a CY 2019 AKI dialysis payment rate of
$235.82, adjusted by the ESRD facility's wage index.
IV. End-Stage Renal Disease Quality Incentive Program (ESRD QIP)
A. Background
For a detailed discussion of the ESRD QIP's background and history,
including a description of the Program's authorizing statute and the
policies that we have adopted in previous final rules, we refer readers
to the calendar year (CY) 2018 ESRD Prospective Payment System (PPS)
final rule (82 FR 50756 through 50757).
1. Improving Patient Outcomes and Reducing Burden Through the
Meaningful Measures Initiative
Regulatory reform and reducing regulatory burden are high
priorities for the Centers for Medicare & Medicaid Services (CMS). To
reduce the regulatory burden on the healthcare industry, lower health
care costs, and enhance patient care, in October 2017, we launched the
Meaningful Measures Initiative.\5\ This initiative is one component of
our agency-wide Patients Over Paperwork Initiative,\6\ which is aimed
at evaluating and streamlining
[[Page 34335]]
regulations with a goal to reduce unnecessary cost and burden, increase
efficiencies, and improve beneficiary experience. The Meaningful
Measures Initiative is aimed at identifying the highest priority areas
for quality measurement and quality improvement in order to assess the
core quality of care issues that are most vital to advancing our work
to improve patient outcomes. The Meaningful Measures Initiative
represents a new approach to quality measures that will foster
operational efficiencies and will reduce costs, including collection
and reporting burden, while producing quality measurement that is more
focused on meaningful outcomes.
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\5\ Meaningful Measures webpage: https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/QualityInitiativesGenInfo/MMF/General-info-Sub-Page.html.
\6\ Remarks by Administrator Seema Verma at the Health Care
Payment Learning and Action Network (LAN) Fall Summit, as prepared
for delivery on October 30, 2017. Available at: https://www.cms.gov/Newsroom/MediaReleaseDatabase/Fact-sheets/2017-Fact-Sheet-items/2017-10-30.html.
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The Meaningful Measures Initiative has the following objectives:
Address high-impact measure areas that safeguard public
health;
Patient-centered and meaningful to patients;
Outcome-based where possible;
Fulfill each program's statutory requirements;
Minimize the level of burden for health care providers
(for example, through a preference for EHR-based measures where
possible, such as electronic clinical quality measures);
Significant opportunity for improvement;
Address measure needs for population based payment through
alternative payment models; and
Align across programs and/or with other payers.
In order to achieve these objectives, we have identified 19
Meaningful Measures areas and mapped them to six overarching quality
priorities as shown in Table 12.
Table 12--Quality Priority Associated With Meaningful Measure Areas
------------------------------------------------------------------------
Quality priority Meaningful measure area
------------------------------------------------------------------------
Making Care Safer by Reducing Harm Healthcare-Associated
Caused in the Delivery of Care. Infections.
Preventable Healthcare Harm.
Strengthen Person and Family Engagement Care is Personalized and
as Partners in Their Care. Aligned with Patient's Goals.
End of Life Care According to
Preferences.
Patient's Experience of Care.
Patient Reported Functional
Outcomes.
Promote Effective Communication and Medication Management.
Coordination of Care. Admissions and Readmissions to
Hospitals.
Transfer of Health Information
and Interoperability.
Promote Effective Prevention and Preventive Care.
Treatment of Chronic Disease. Management of Chronic
Conditions.
Prevention, Treatment, and
Management of Mental Health.
Prevention and Treatment of
Opioid and Substance Use
Disorders.
Risk Adjusted Mortality.
Work with Communities to Promote Best Equity of Care.
Practices of Healthy Living. Community Engagement.
Make Care Affordable................... Appropriate Use of Healthcare.
Patient-focused Episode of
Care.
Risk Adjusted Total Cost of
Care.
------------------------------------------------------------------------
By including Meaningful Measures in our programs, we believe that
we can also address the following cross-cutting measure criteria:
Eliminating disparities;
Tracking measurable outcomes and impact;
Safeguarding public health;
Achieving cost savings;
Improving access for rural communities; and
Reducing burden.
We believe that the Meaningful Measures Initiative will improve
outcomes for patients, their families, and health care providers while
reducing burden and costs for clinicians and providers as well as
promoting operational efficiencies.
2. Accounting for Social Risk Factors in the ESRD QIP
In the fiscal year (FY) 2018 Inpatient Prospective Payment System
(IPPS)/Long-Term Care Hospital Prospective Payment System (LTCH PPS)
final rule (82 FR 38237 through 38239), we discussed the importance of
improving beneficiary outcomes including reducing health disparities.
We also discussed our commitment to ensuring that medically complex
patients, as well as those with social risk factors, receive excellent
care. We discussed how studies show that social risk factors, such as
being near or below the poverty level as determined by the Department
of Health and Human Services, belonging to a racial or ethnic minority
group, or living with a disability, can be associated with poor health
outcomes and how some of this disparity is related to the quality of
health care.\7\ Among our core objectives, we aim to improve health
outcomes, attain health equity for all beneficiaries, and ensure that
complex patients as well as those with social risk factors receive
excellent care. Within this context, reports by the Office of the
Assistant Secretary for Planning and Evaluation (ASPE) and the National
Academy of Medicine have examined the influence of social risk factors
in CMS value-based purchasing (VBP) programs.\8\ As we noted in the FY
2018 IPPS/LTCH PPS final rule (82 FR 38237), ASPE's report to Congress
found that, in the context of VBP programs, dual eligibility was the
most powerful predictor of poor health care outcomes among those social
risk factors that they examined and tested. In addition, as we noted in
the FY 2018 IPPS/LTCH PPS final rule (82 FR 38237), the National
Quality Forum (NQF) undertook a 2-year trial period in which certain
new measures and measures undergoing maintenance review have been
assessed to determine if risk adjustment for social risk factors is
appropriate for these
[[Page 34336]]
measures.\9\ The trial period ended in April 2017 and a final report is
available at: https://www.qualityforum.org/SES_Trial_Period.aspx. The
trial concluded that ``measures with a conceptual basis for adjustment
generally did not demonstrate an empirical relationship'' between
social risk factors and the outcomes measured. This discrepancy may be
explained in part by the methods used for adjustment and the limited
availability of robust data on social risk factors. NQF has extended
the socioeconomic status (SES) trial,\10\ allowing further examination
of social risk factors in outcome measures.
---------------------------------------------------------------------------
\7\ See, for example, United States Department of Health and
Human Services. ``Healthy People 2020: Disparities. 2014.''
Available at: https://www.healthypeople.gov/2020/about/foundation-health-measures/Disparities; or National Academies of Sciences,
Engineering, and Medicine. Accounting for Social Risk Factors in
Medicare Payment: Identifying Social Risk Factors. Washington, DC:
National Academies of Sciences, Engineering, and Medicine 2016.
\8\ Department of Health and Human Services Office of the
Assistant Secretary for Planning and Evaluation (ASPE), ``Report to
Congress: Social Risk Factors and Performance Under Medicare's
Value-Based Purchasing Programs.'' December 2016. Available at:
https://aspe.hhs.gov/pdf-report/report-congress-social-risk-factors-and-performance-under-medicares-value-based-purchasing-programs.
\9\ Available at: https://www.qualityforum.org/SES_Trial_Period.aspx.
\10\ Available at: https://www.qualityforum.org/WorkArea/linkit.aspx?LinkIdentifier=id&ItemID=86357.
---------------------------------------------------------------------------
In the FY 2018 IPPS/LTCH PPS and CY 2018 ESRD PPS proposed rules
for our quality reporting and VBP programs, we solicited feedback on
which social risk factors provide the most valuable information to
stakeholders and the methodology for illuminating differences in
outcomes rates among patient groups within a hospital or provider that
would also allow for a comparison of those differences, or disparities,
across providers. Feedback we received across our quality reporting
programs included encouraging CMS to explore whether factors that could
be used to stratify or risk adjust the measures (beyond dual
eligibility); considering the full range of differences in patient
backgrounds that might affect outcomes; exploring risk adjustment
approaches; and offering careful consideration of what type of
information display would be most useful to the public.
We also sought public comment on confidential reporting and future
public reporting of some of our measures stratified by patient dual
eligibility. In general, commenters noted that stratified measures
could serve as tools for hospitals to identify gaps in outcomes for
different groups of patients, improve the quality of health care for
all patients, and empower consumers to make informed decisions about
health care. Commenters encouraged us to stratify measures by other
social risk factors such as age, income, and educational attainment.
With regard to VBP programs, commenters also cautioned to balance fair
and equitable payment while avoiding payment penalties that mask health
disparities or discouraging the provision of care to more medically
complex patients. Commenters also noted that VBP program measure
selection, domain weighting, performance scoring, and payment
methodology must account for social risk.
As a next step, CMS is considering options to improve health
disparities among patient groups within and across hospitals by
increasing the transparency of disparities as shown by quality
measures. We also are considering how this work applies to other CMS
quality programs in the future. We refer readers to the FY 2018 IPPS/
LTCH PPS final rule (82 FR 38403 through 38409) for more details, where
we discuss the potential stratification of certain Hospital Inpatient
Quality Reporting (IQR) Program outcome measures. Furthermore, we
continue to consider options to address equity and disparities in our
value-based purchasing programs.
We plan to continue working with ASPE, the public, and other key
stakeholders on this important issue to identify policy solutions that
achieve the goals of attaining health equity for all beneficiaries and
minimizing unintended consequences.
3. Proposal To Update Regulation Text for the ESRD QIP
We are proposing to codify a number of previously adopted
requirements for the ESRD QIP in our regulations by revising Sec.
413.177 and adopting a new Sec. 413.178. Codification of these
requirements would make it easier for the public to locate these
requirements. Proposed Sec. 413.178 would codify the following:
Definitions of key terms used in the ESRD QIP;
Rules for determining the applicability of the ESRD QIP to
facilities, including new facilities;
Measure selection;
Rules governing performance scoring, including how we
calculate the total performance score;
Our process for making ESRD QIP performance information
available to the public; and
The limitation on administrative and judicial review.
Revised Sec. 413.177(a) would codify that an ESRD facility that
does not earn enough points under the ESRD QIP to meet or exceed the
minimum total performance score established for a payment year would
receive up to a 2 percent reduction to its otherwise applicable payment
amount under the ESRD PPS for renal dialysis services furnished during
that payment year.
We welcome public comments on the proposed regulation text.
B. Proposed Update to Requirements Beginning With the PY 2021 ESRD QIP
1. Proposal To Update the PY 2021 Measure Set
In this proposed rule, we are proposing to refine and update the
criteria for removing measures from the ESRD QIP measure set, and for
consistency with the terminology we are adopting for other CMS quality
reporting and value-based purchasing programs, we now refer to these
criteria as factors. We are also proposing to remove four of the
reporting measures that we previously finalized for the PY 2021 ESRD
QIP measure set. Table 13 summarizes the proposed revisions to the PY
2021 ESRD QIP measure set, and we discuss the measure removal proposals
in section IV.B.1.c of this proposed rule.
Table 13--Proposed Revisions to the Previously Finalized PY 2021 ESRD
QIP Measure Set
------------------------------------------------------------------------
Measure
NQF # Measure title and continuing in PY
description 2021
------------------------------------------------------------------------
0258.......................... In-Center Hemodialysis Yes.
Consumer Assessment
of Healthcare
Providers and Systems
(ICH CAHPS) Survey
Administration, a
clinical measure.
Measure assesses
patients' self-
reported experience
of care through
percentage of patient
responses to multiple
testing tools.
2496.......................... Standardized Yes.
Readmission Ratio
(SRR), a clinical
measure.
Ratio of the number of
observed unplanned 30-
day hospital
readmissions to the
number of expected
unplanned 30-day
readmissions.
[[Page 34337]]
2979.......................... Standardized Yes.
Transfusion Ratio
(STrR), a clinical
measure.
Risk-adjusted TrR for
all adult Medicare
dialysis patients..
Number of observed
eligible red blood
cell transfusion
events occurring in
patients dialyzing at
a facility to the
number of eligible
transfusions that
would be expected.
N/A........................... A measure of dialysis Yes.
adequacy where K is
dialyzer clearance, t
is dialysis time, and
V is total body water
volume (Kt/V)
Dialysis Adequacy
Comprehensive, a
clinical measure.
Percentage of all
patient months for
patients whose
delivered dose of
dialysis (either
hemodialysis or
peritoneal dialysis)
met the specified
threshold during the
reporting period.
2977.......................... Hemodialysis Vascular Yes.
Access: Standardized
Fistula Rate clinical
measure.
Measures the use of an
AV fistula as the
sole means of
vascular access as of
the last hemodialysis
treatment session of
the month.
2978.......................... Hemodialysis Vascular Yes.
Access: Long-Term
Catheter Rate
clinical measure.
Measures the use of a
catheter continuously
for 3 months or
longer as of the last
hemodialysis
treatment session of
the month.
1454.......................... Hypercalcemia, a Yes.
clinical measure.
Proportion of patient-
months with 3-month
rolling average of
total uncorrected
serum or plasma
calcium greater than
10.2 mg/dL.
1463 *........................ Standardized Yes.
Hospitalization Ratio
(SHR), a clinical
measure.
Risk-adjusted SHR of
the number of
observed
hospitalizations to
the number of
expected
hospitalizations.
0255.......................... Serum Phosphorus, a Proposed for
reporting measure. Removal.
Percentage of all
adult (>=18 years of
age) peritoneal
dialysis and
hemodialysis patients
included in the
sample for analysis
with serum of plasma
phosphorus measured
at least once within
month.
N/A........................... Anemia Management Proposed for
Reporting, a Removal.
reporting measure.
Number of months for
which facility
reports
erythropoiesis-
stimulating agent
(ESA) dosage (as
applicable) and
hemoglobin/hematocrit
for each Medicare
patient, at least
once per month.
Based on NQF #0420............ Pain Assessment and Proposed for
Follow-Up, a Removal.
reporting measure.
Facility reports in
CROWNWeb one of six
conditions for each
qualifying patient
once before August 1
of the performance
period and once
before February 1 of
the year following
the performance
period.
Based on NQF #0418............ Clinical Depression Yes.
Screening and Follow-
Up, a reporting
measure.
Facility reports in
CROWNWeb one of six
conditions for each
qualifying patient
treated during
performance period.
Based on NQF #0431............ National Healthcare Proposed for
Safety Network (NHSN) Removal.
Healthcare Personnel
Influenza
Vaccination, a
reporting measure.
Facility submits
Healthcare Personnel
Influenza Vaccination
Summary Report to the
Centers for Disease
Control and
Prevention's (CDC's)
NHSN system,
according to the
specifications of the
Healthcare, Personnel
Safety Component
Protocol by May 15 of
the performance
period.
N/A........................... Ultrafiltration Rate, Yes.
a reporting measure.
Number of months for
which a facility
reports elements
required for
ultrafiltration rates
for each qualifying
patient.
Based on NQF #1460............ NHSN Bloodstream Yes.
Infection (BSI) in
Hemodialysis
Patients, a clinical
measure.
The Standardized
Infection Ratio (SIR)
of BSIs will be
calculated among
patients receiving
hemodialysis at
outpatient
hemodialysis centers.
N/A........................... NHSN Dialysis Event Yes.
reporting measure.
Number of months for
which facility
reports NHSN Dialysis
Event data to CDC.
------------------------------------------------------------------------
a. Proposal To Refine and Update the Factors Used for ESRD QIP Measure
Removal
Under our current policy, we consider an ESRD QIP measure for
removal or replacement if: (1) Measure performance among the majority
of ESRD facilities is so high and unvarying that meaningful
distinctions in improvements or performance can no longer be made; (2)
performance or improvement on a measure does not result in better or
the intended patient outcomes; (3) a measure no longer aligns with
current clinical guidelines or practice; (4) a more broadly applicable
(across settings, populations, or conditions) measure for the topic
becomes available; (5) a measure that is more proximal in time to
desired patient outcomes for the particular topic becomes available;
(6) a measure that is more strongly associated with desired patient
outcomes for the particular topic becomes available; or (7) collection
or public reporting of a measure leads to negative or unintended
consequences (77 FR 67475). In the CY
[[Page 34338]]
2015 ESRD PPS final rule, we adopted statistical criteria for
determining whether a clinical measure is topped out, and adopted a
policy under which we could retain an otherwise topped-out measure if
we determined that its continued inclusion in the ESRD QIP measure set
would address the unique needs of a specific subset of the ESRD
population (79 FR 66174). In the CY 2013 ESRD PPS final rule (77 FR
67475), we finalized that we would generally remove an ESRD QIP measure
using notice and comment rulemaking, unless we determined that the
continued collection of data on the measure raised patient safety
concerns. In that case, we stated that we would promptly remove the
measure and publish the justification for the removal in the Federal
Register during the next rulemaking cycle. In addition, we stated that
we would immediately notify ESRD facilities and the public through the
usual communication channels, including listening sessions, memos,
email notification, and Web postings.
In order to align with terminology we are adopting for use across a
number of quality reporting and pay for performance programs, we will
now refer to these criteria as ``factors'' rather than ``criteria.'' We
are also proposing to update these measure removal factors so that they
are more closely aligned with the factors we have adopted or proposed
to adopt for other quality reporting and pay for performance programs,
as well as the priorities we have adopted as part of our Meaningful
Measures Initiative. Specifically, we are proposing to combine current
Factors 4 and 5 (proposed new Factor 4), and we are proposing to adjust
the numbering of subsequent factors to account for this change. We are
also proposing to add a new factor for measures where it is not
feasible to implement the measure specifications; we would refer to
this new factor as Factor 7. Proposed Factors 1 through 7 are as
follows:
Factor 1. Measure performance among the majority of ESRD
facilities is so high and unvarying that meaningful distinctions in
improvements or performance can no longer be made (for example, the
measure is topped-out).
Factor 2. Performance or improvement on a measure does not
result in better or the intended patient outcomes.
Factor 3. A measure no longer aligns with current clinical
guidelines or practice.
Factor 4. A more broadly applicable (across settings,
populations, or conditions) measure for the topic or a measure that is
more proximal in time to desired patient outcomes for the particular
topic becomes available.
Factor 5. A measure that is more strongly associated with
desired patient outcomes for the particular topic becomes available.
Factor 6. Collection or public reporting of a measure
leads to negative or unintended consequences.
Factor 7. It is not feasible to implement the measure
specifications.
We believe these proposed updates would better ensure that we use a
consistent approach across our quality reporting and value-based
purchasing programs when considering measures for removal, and that
they reflect the considerations we have long used when evaluating
measures for removal from the ESRD QIP. However, even if one or more of
the measure removal factors applies, we might nonetheless choose to
retain the measure for certain specified reasons. Examples of such
instances could include when a particular measure addresses a gap in
quality that is so significant that removing the measure could result
in poor quality, or in the event that a given measure is statutorily
required. Furthermore, consistent with other quality reporting
programs, we propose to apply these factors on a case-by-case basis.
We welcome comment on these proposals.
b. Proposed New Measure Removal Factor
In this proposed rule, we are proposing to adopt an additional
factor to consider when evaluating measures for removal from the ESRD
QIP measure set: Factor 8, the costs associated with a measure outweigh
the benefit of its continued use in the Program.
As we discuss in section IV.A.1 of this proposed rule, with respect
to our new ``Meaningful Measures Initiative,'' we are engaging in
efforts to ensure that the ESRD QIP measure set continues to promote
improved health outcomes for beneficiaries while minimizing the overall
costs associated with the Program. We believe these costs are
multifaceted and include not only the burden associated with reporting,
but also the costs associated with implementing and maintaining the
Program. We have identified several different types of costs,
including, but not limited to: (1) Provider, supplier and clinician
information collection burden and related cost and burden associated
with the submission/reporting of quality measures to CMS; (2) provider,
supplier and clinician cost associated with complying with other
quality programmatic requirements; (3) provider, supplier and clinician
cost associated with participating in multiple quality programs, and
tracking multiple similar or duplicative measures within or across
those programs; (4) CMS cost associated with the Program oversight of
the measure, including measure maintenance and public display; and (5)
provider, supplier and clinician cost associated with compliance with
other federal and/or state regulations (if applicable). For example, it
may be needlessly costly and/or of limited benefit to retain or
maintain a measure which our analyses show no longer meaningfully
supports Program objectives (for example, informing beneficiary
choice). It may also be costly for health care providers to track
confidential feedback preview reports and publicly reported information
on a measure where we use the measure in more than one Program. CMS may
also have to expend unnecessary resources to maintain the
specifications for the measure, as well as the tools needed to collect,
validate, analyze, and publicly report the measure data. Furthermore,
beneficiaries may find it confusing to see public reporting on the same
measure in different Programs.
When these costs outweigh the evidence supporting the continued use
of a measure in the ESRD QIP, we believe it may be appropriate to
remove the measure from the Program. Although we recognize that one of
the main goals of the ESRD QIP is to improve beneficiary outcomes by
incentivizing health care providers to focus on specific care issues
and making public data related to those issues, we also recognize that
those goals can have limited utility where, for example, the publicly
reported data are of limited use because they cannot be easily
interpreted by beneficiaries to influence their choice of providers. In
these cases, removing the measure from the ESRD QIP may better
accommodate the costs of Program administration and compliance without
sacrificing improved health outcomes and beneficiary choice.
We are proposing that we would remove measures based on this factor
on a case-by-case basis. We might, for example, decide to retain a
measure that is burdensome for health care providers to report if we
conclude that the benefit to beneficiaries justifies the reporting
burden. Our goal is to move the Program forward in the least burdensome
manner possible, while maintaining an appropriately sized set of
meaningful quality measures and continuing to incentivize improvement
in the quality of care provided to patients.
[[Page 34339]]
We are inviting public comment on our proposal to adopt an
additional measure removal factor, ``the costs associated with a
measure outweigh the benefit of its continued use in the Program,''
beginning with PY 2021.
c. Proposed Removal of Four Reporting Measures
We have undertaken efforts to review the existing ESRD QIP measure
set in the context of the Meaningful Measures Initiative described in
section IV.A.1 of this proposed rule. Based on that analysis and our
evaluation of the Program's measures, we are proposing to remove four
measures previously adopted for the ESRD QIP, starting with PY 2021. If
these proposals are finalized, facilities would no longer be required
to report data specific to these measures beginning with January 1,
2019 dates of service. The four measures we are proposing to remove
from the ESRD QIP measure set are:
Healthcare Personnel Influenza Vaccination.
Pain Assessment and Follow-Up.
Anemia Management.
Serum Phosphorus.
Proposed Removal of the Healthcare Personnel Influenza Vaccination
Reporting Measure From the ESRD QIP Measure Set
In the CY 2015 ESRD PPS final rule, we adopted the Healthcare
Personnel Influenza Vaccination reporting measure in the ESRD QIP
measure set beginning with PY 2018 because we recognize that influenza
immunization is an important public health issue and that vaccinating
healthcare personnel against influenza can help to protect healthcare
personnel and their patients (79 FR 66206 through 66208). We continue
to believe that the Healthcare Personnel Influenza Vaccination measure
provides the benefit of protecting patients against influenza. However,
our analysis of CY 2016 data indicates that ESRD facility performance
on the measure was consistently high; 98 percent of ESRD facilities
received the highest possible score on the measure (10 points) and the
remaining 2 percent received no score on the measure because they did
not report the required data. This finding indicates that influenza
vaccination of healthcare personnel in ESRD facilities is a widespread
practice and that there is little room for improvement on this measure.
Accordingly, we are proposing to remove this measure from the ESRD QIP
measure set beginning with PY 2021 under Factor 1 (measure performance
among the majority of ESRD facilities is so high and unvarying that
meaningful distinctions in improvements or performance can no longer be
made).
Proposed Removal of the Pain Assessment and Follow-Up Reporting Measure
From the ESRD QIP Measure Set
In the CY 2015 ESRD PPS final rule, we adopted the Pain Assessment
and Follow-Up reporting measure beginning with PY 2018 (79 FR 66203
through 66206) because patients with ESRD frequently experience pain
that has a debilitating impact on their daily lives, and research has
shown a lack of effective pain management strategies in place in
dialysis facilities. We continue to believe that effective pain
management is an important component of the care received by ESRD
patients. However, our analysis of CY 2016 data indicates that with
respect to that year, 90 percent of ESRD facilities received the
highest possible score on the measure (10 points) and 1 percent of ESRD
facilities received no score on the measure. This finding indicates
that documentation of pain management using a standardized tool, as
well as documentation of a follow-up plan where pain is present, are
widespread practices in ESRD facilities and that there is little room
for improvement on the measure. Accordingly, we are proposing to remove
this measure from the ESRD QIP measure set based on our proposed Factor
1 (measure performance among the majority of ESRD facilities is so high
and unvarying that meaningful distinctions in improvements or
performance can no longer be made).
Proposed Removal of the Anemia Management Reporting Measure From the
ESRD QIP Measure Set
In the CY 2013 ESRD PPS final rule, we adopted the Anemia
Management reporting measure beginning with the PY 2015 ESRD QIP (77 FR
67491 through 67495) because we believe that it is important to monitor
hemoglobin levels in patients to ensure that anemia is properly
treated. Additionally, the measure's adoption fulfilled the statutory
requirement at section 1881(h)(2)(A)(i) of the Act that the ESRD QIP
include measures on anemia management that reflect labeling approved by
the Food and Drug Administration (FDA) for such management.
Additionally, in the CY 2015 ESRD PPS final rule (79 FR 66192 through
66197), we adopted the NQF-endorsed Standardized Transfusion Ratio
(STrR) measure beginning with PY 2018 to ensure that patients with ESRD
are not negatively affected by underutilization of ESAs, with the
result that these patients have lower achieved hemoglobin levels and
more frequently need red-blood-cell transfusions. We stated that there
is a strong association between achieved hemoglobin levels and
subsequent transfusion events, and that facilities have a direct role
in determining achieved hemoglobin as a result of their anemia
management practices (79 FR 66194). We also noted that the STrR measure
meets the requirement at section 1881(h)(2)(A)(i) of the Act for the
ESRD QIP to adopt measures of anemia management that reflect the
labeling approved by the Food and Drug Administration for such
management.
Our analysis of CY 2016 data indicates that ESRD facility
performance on the Anemia Management reporting measure was consistently
high; 96 percent of ESRD facilities received the highest possible score
on the measure (10 points). This finding indicates that facility
tracking of hemoglobin values and, as applicable, ESA dosages, is
widely performed among ESRD facilities and that there is little room
for improvement on the measure.
We are therefore proposing to remove the Anemia Management
reporting measure from the ESRD QIP measure set based on Factor 1
(measure performance among the majority of ESRD facilities is so high
and unvarying that meaningful distinctions in improvements or
performance can no longer be made).
Proposed Removal of the Serum Phosphorus Reporting Measure From the
ESRD QIP Measure Set
In the CY 2014 ESRD PPS final rule, we adopted the Hypercalcemia
measure beginning with the PY 2016 ESRD QIP (78 FR 72200 through 72203)
as a measure of bone mineral metabolism. Specifically, this measure
assesses the number of patients with uncorrected serum calcium greater
than 10.2 mg/dL for a 3-month rolling average. In the CY 2017 ESRD PPS
final rule (81 FR 77876 through 77879), we finalized two modifications
to the measure's technical specifications, as recommended during the
measure maintenance process at the NQF, beginning with PY 2019. First,
we added plasma as an acceptable substrate in addition to serum
calcium. Second, we amended the denominator definition to include
patients regardless of whether any serum calcium values were reported
at the facility during the 3-month study period. These changes ensure
that, beginning with PY 2019, the measure aligns with the NQF-endorsed
measure.
In the CY 2017 ESRD PPS final rule, we adopted a second measure of
bone
[[Page 34340]]
mineral metabolism, beginning with PY 2020: The Serum Phosphorus
reporting measure (81 FR 77911 through 77912). This measure evaluates
the extent to which facilities monitor and report patient phosphorus
levels.
While we consider both the Hypercalcemia measure and the Serum
Phosphorus measure to be measures of bone mineral metabolism, the two
measures track different minerals. Hypercalcemia measures calcium
levels and Serum Phosphorus measures phosphorus levels. Numerous
studies have associated disorders of mineral metabolism with morbidity,
including fractures, cardiovascular disease, and mortality. Overt
symptoms of these abnormalities often manifest in only the most extreme
states of calcium-phosphorus dysregulation (81 FR 77911).
As a result of the NQF's 2017 re-endorsement of the Hypercalcemia
measure, as well as the Hypercalcemia measure's focus on clinical
factors that are more directly under the facility's control, we now
consider the Hypercalcemia measure to be a superior measure of bone
mineral metabolism compared with Serum Phosphorus. In addition, of the
two measures, the Hypercalcemia measure is more focused on outcomes;
the Serum Phosphorus is a reporting measure while the Hypercalcemia
measure is a clinical measure. Finally, the Hypercalcemia measure is an
outcome-based measure specific to the conditions treated with oral-only
drugs, which is a statutory requirement for the ESRD QIP measure set.
Based on the limited benefit provided to the Program by the Serum
Phosphorus measure as well as its reporting burden, we are proposing to
remove the Serum Phosphorus reporting measure from the ESRD QIP measure
set based on Factor 5 (that is, a measure that is more strongly
associated with desired patient outcomes for the particular topic
becomes available).
We seek comments on these proposals. We note that we are not
proposing any changes to the PY 2021 performance period or performance
standards, and we refer readers to the CY ESRD PPS 2018 final rule (82
FR 50778 through 50779) for a discussion of those policies.
2. Estimated Performance Standards, Achievement Thresholds, and
Benchmarks for the PY 2021 ESRD QIP
In the CY 2018 ESRD PPS final rule (82 FR 50763 through 50764) we
finalized that for PY 2021, the performance standards, achievement
thresholds, and benchmarks for the clinical measures would be set at
the 50th, 15th, and 90th percentile, respectively, of national
performance in CY 2017, because this would give us enough time to
calculate and assign numerical values to those performance standards
prior to the beginning of the performance period for that payment year.
At this time, we do not have the necessary data to assign numerical
values to those performance standards, achievement thresholds, and
benchmarks because we do not yet have complete data from CY 2017.
Nevertheless, we are able to estimate these numerical values based on
the most recent data available. In Table 14, we have provided the
estimated numerical values for all finalized PY 2021 ESRD QIP clinical
measures, and we note that we have not proposed in this proposed rule
to remove any of those measures. We will publish updated values for the
clinical measures, using CY 2017 data that facilities submitted in the
first part of CY 2018, in the CY 2019 ESRD PPS final rule.
Table 14--Estimated Numerical Values for the Performance Standards for the PY 2021 ESRD QIP Clinical Measures
Using the Most Recently Available Data
----------------------------------------------------------------------------------------------------------------
Achievement Performance
Measure threshold Benchmark standard
----------------------------------------------------------------------------------------------------------------
Vascular Access Type:
Standardized Fistula Rate..................................... 0.518 0.752 0.628
Long-Term Catheter Rate....................................... 19.23% 5.47% 12.02%
Kt/V Composite.................................................. 91.09% 98.56% 95.64%
Hypercalcemia................................................... 2.41% 0.00% 0.86%
Standardized Transfusion Ratio.................................. 1.683 0.200 0.846
Standardized Readmission Ratio.................................. 1.273 0.630 0.998
NHSN BSI........................................................ 1.598 0 0.740
SHR measure..................................................... 1.249 0.670 0.967
ICH CAHPS: Nephrologists' Communication and Caring.............. 57.36% 78.09% 67.04%
ICH CAHPS: Quality of Dialysis Center Care and Operations....... 53.14% 71.52% 61.22%
ICH CAHPS: Providing Information to Patients.................... 73.31% 86.83% 79.79%
ICH CAHPS: Overall Rating of Nephrologists...................... 49.33% 76.57% 62.22%
ICH CAHPS: Overall Rating of Dialysis Center Staff.............. 48.84% 77.42% 62.26%
ICH CAHPS: Overall Rating of the Dialysis Facility.............. 52.24% 82.48% 66.82%
----------------------------------------------------------------------------------------------------------------
Data sources: VAT measures: 2016 CROWNWeb; SRR, STrR, SHR: 2016 Medicare claims; Kt/V: 2016 CROWNWeb;
Hypercalcemia: 2016 CROWNWeb; NHSN: 2016 CDC, ICH CAHPS: CMS 2015 and 2016.
In previous rulemaking, we have finalized that if final numerical
values for the performance standard, achievement threshold, and/or
benchmark are worse than they were for that measure in the previous
year of the ESRD QIP, then we would substitute the previous year's
performance standard, achievement threshold, and/or benchmark for that
measure. In the CY 2017 ESRD PPS final rule, we finalized an update to
that policy because in certain cases, it may be appropriate to re-
baseline the National Healthcare Safety Network (NHSN) Bloodstream
Infection (BSI) clinical measure, such that expected infection rates
are calculated on the basis of a more recent year's data (81 FR 77886).
In such cases, numerical values assigned to performance standards may
appear to decline, even though they represent higher standards for
infection prevention. For PY 2021 and future payment years, we propose
to continue use of this policy for the reasons explained above.
3. Proposed Change to the Scoring Methodology Previously Finalized for
the PY 2021 ESRD QIP
As described in section IV.A.1 of this proposed rule, CMS has
established the Meaningful Measures Initiative to help
[[Page 34341]]
guide and focus measure development efforts across settings. In order
to align the ESRD QIP more closely with the priorities of that
initiative, we proposed in section IV.B.1.c of this proposed rule to
remove four reporting measures from the ESRD QIP measure set, beginning
with PY 2021. In this section, we are proposing to make changes to the
measure domains and weights.
a. Proposed Revision To Measure Domains Beginning With the PY 2021 ESRD
QIP
To more closely align with the Meaningful Measures Initiative, we
are proposing to eliminate the Reporting Domain and to reorganize the
Clinical Domain into three distinct domains: Patient & Family
Engagement Domain (currently part of the Patient and Family Engagement/
Care Coordination Subdomain), Care Coordination Domain (currently part
of the Patient and Family Engagement/Care Coordination Subdomain), and
Clinical Care Domain (currently the Clinical Care Subdomain). Adopting
these topics as separate domains would result in a measure set that is
more closely aligned with the priority areas in the Meaningful Measures
Initiative. The proposed Clinical Care Domain would align with the
Meaningful Measure Initiative priority to promote effective prevention
and treatment of chronic disease. The proposed Patient & Family
Engagement Domain would align with the Meaningful Measures Initiative
priority to strengthen person and family engagement as partners in
their care. The proposed Care Coordination Domain would align with the
Meaningful Measures Initiative priority to promote effective
communication and coordination of care. We are also proposing to
continue use of the Patient Safety Domain. The Patient Safety Domain
would align with the Meaningful Measures Initiative priority to make
care safer by reducing harm caused in the delivery of care. We are also
proposing to eliminate the Reporting Measure Domain from the ESRD QIP
measure set, beginning in the PY 2021 Program, because there would no
longer be any measures in that domain if our measure removal proposals
in section IV.B.1.c of this proposed rule and our proposals in section
IV.B.3.b of this proposed rule to reassign the Ultrafiltration Rate,
and Clinical Depression Screening and Follow-Up Reporting measures to
the Clinical Care Measure Domain and the Care Coordination Measure
Domain, respectively, are finalized.
b. Proposed Revisions to the PY 2021 Domain and Measure Weights Used To
Calculate the Total Performance Score (TPS)
We are proposing to update the domain weights to reflect our
proposed removal of the Reporting Domain and our proposed
reorganization of the Clinical Domain into three distinct domains, as
shown in Table 15. We believe that this proposed domain weighting best
aligns the ESRD QIP's measure set with our preferred emphasis on
clinical outcomes by assigning the two largest weights in the Program
to the domains most focused on clinical outcomes (Clinical Care Domain
and the Care Coordination Domain). Of those two domains, we are
proposing to assign the Clinical Care Domain the highest weight because
it contains the largest number of measures. We are proposing to assign
the remaining two domains a smaller share of the total performance
score (TPS) (both 15 percent) because they are more focused on measures
of clinical processes and less on measures of patient outcomes. We
continue to believe that the measures in the Patient & Family
Engagement and Safety domains address important clinical topics, but we
have concluded that placing more weighting on measures more directly
tied to clinical outcomes is the most appropriate method to structure
the ESRD QIP's measure domains.
We are also proposing to adjust the PY 2021 measure weights that
were finalized in the CY 2018 ESRD PPS final rule (82 FR 50781 through
50783), as shown in Table 15. This proposal is also intended to reflect
our preferred emphasis on weighting measures that directly impact
clinical outcomes more heavily. We also took into consideration the
degree to which a facility can influence a measure rate by assigning a
higher weight to measures where a facility has greater influence
compared to measures where a facility has less influence.
Table 15--Proposed Domain and Measure Weighting for the PY 2021 ESRD QIP
------------------------------------------------------------------------
Proposed
measure weight
Proposed measures/ measure topics by domain as percent of
TPS
------------------------------------------------------------------------
Patient & Family Engagement Measure Domain:
ICH CAHPS measure................................... 15.00
---------------
15.00
Care Coordination Measure Domain:
SRR measure......................................... 14.00
SHR measure......................................... 14.00
Clinical Depression and Follow-Up reporting measure. 2.00
---------------
30
Clinical Care Measure Domain:
Kt/V Dialysis Adequacy Comprehensive measure........ 6.00
Vascular Access Type measure topic *................ 6.00
Hypercalcemia measure............................... 3.00
STrR measure........................................ 22.00
Ultrafiltration Rate reporting measure.............. 3.00
---------------
40
Safety Measure Domain:
NHSN BSI measure.................................... 9.00
NHSN Dialysis Event reporting measure............... 6.00
---------------
15
------------------------------------------------------------------------
* The VAT Measure Topic is weighted for each facility based on the
number of eligible patients for each of the two measures in the topic,
with each measure score multiplied by the respective percentage of
patients within the topic to reach a weighted topic score that will be
unique for each facility (76 FR 70265, 70275).
As shown in Table 15, we are proposing to decrease the weight of
the following measures: In-Center Hemodialysis Consumer Assessment of
Healthcare Providers and Systems (ICH CAHPS) measure (18.75 to 15
percent), Kt/V Dialysis Adequacy Comprehensive measure (13.5 to 6
percent), and Vascular Access Type (VAT) measure topic (13.5 to 6
percent). We are also proposing to increase the weights of the
following measures: Standardized Readmission Ratio (SRR) measure (11.25
to 14 percent), Standardized Hospitalization Ratio (SHR) measure (8.25
to 14 percent), Clinical Depression and Follow-Up measure (1.66 to 2
percent), Hypercalcemia measure (1.5 to 3 percent), STrR measure (8.25
to 22 percent), and Ultrafiltration reporting measure (1.66 to 3
percent). We are proposing these changes to reflect our continued
evaluation of the ESRD QIP's measures and their contribution to the TPS
in light of the proposed domain structure and weights as well as the
proposed removal of the four reporting
[[Page 34342]]
measures. We note that we are not proposing any changes to the two
measures included in the Safety Measure Domain: NHSN BSI and NSHN
Dialysis Event measures. We continue to believe that the Safety domain
appropriately contains these two NHSN measures and we believe their
assigned weights--9 percent and 6 percent respectively--reflect the
importance that we place on measures of patient safety for the PY 2021
ESRD QIP.
We seek comment on our proposed domain and measure weighting
proposals.
Proposals To Update the Eligibility Requirement for Receiving a TPS for
a PY and Reassign Measure Weights
In the CY 2017 ESRD PPS final rule (81 FR 77888 through 77889), we
finalized that to be eligible to receive a TPS, a facility must be
eligible to be scored on at least one measure in the Clinical Measure
Domain and at least one measure in the Reporting Domain. We are
proposing to revise this policy due to our proposed removal of the
Reporting Domain from the ESRD QIP measure set and our proposal to
increase the number of domains overall from three to four. We are
proposing that to be eligible to receive a TPS, a facility must be
eligible to be scored on at least one measure in any two out of the
four domains in the ESRD QIP measure set. The proposed approach is
consistent with our previously finalized policy because it would allow
facilities to receive a TPS with as few as two measure scores. The
proposed approach also enables us to maximize the number of facilities
that can participate, while ensuring that ESRD facilities are scored on
a sufficient number of measures to create a sufficiently-reliable TPS.
Because of this proposed eligibility requirement to receive a TPS,
we concluded that we must also consider how to reassign measure weights
in those cases where facilities do not receive a score on every measure
but receive scores on enough measures to receive a TPS. We considered
two alternatives to address this issue: (1) Redistribute the weights of
missing measures evenly across the remaining measures (that is, we
would divide up the missing measure weights equally across the
remaining measures), and (2) redistribute the weights of missing
measures proportionately across the remaining measures, based on their
weights as a percentage of TPS (that is, when dividing up missing
measure weights, we would shift a larger share of the weights to
measures with higher assigned weights; measures with lower weights
would gain a smaller portion of the missing measure weights).
While the first policy alternative is administratively simpler to
implement, this option would not maintain the Meaningful Measures
Initiative priorities in the measure weights as effectively, and
therefore, we are proposing the second policy alternative. As discussed
earlier, we are proposing an approach for reweighting the domains and
measures in the ESRD QIP for PY 2021 based on the priorities identified
in the Meaningful Measures Initiative. Under this approach, we are
proposing to assign a higher weight to measures that focus on outcomes
and a lower weight to measures that focus on clinical processes. If we
adopted the first policy alternative, measures that we consider a lower
priority would represent a much larger share of TPS relative to
measures that we consider a higher priority, in situations where a
facility is missing one or more measure scores. Under the second policy
alternative, when a facility is not scored on a measure, the weight of
lower priority measures relative to higher priority measures would be
more consistent with the weights assigned to the complete measure set.
We note that this proposal, if finalized, would be effective for PY
2021; we use the PY 2022 measure set for the following example. If a
facility was ineligible to receive a score on all of the measures in
both the Clinical Care Measure Domain and the Safety Measure Domain in
PY 2022, the weight of the Clinical Depression and Follow-Up Measure--
the lowest weighted measure remaining in the measure set would increase
from 2.5 percent of the TPS to 13.5 percent of the TPS under the first
policy alternative and would increase from 2.5 percent of the TPS to
5.6 percent of the TPS under the second policy alternative. Under the
same scenario, the weight of the ICH CAHPS measure--the highest
weighted remaining in the measure set would increase from 15 percent to
26 percent under the first policy alternative and would increase from
15 percent to 33.33 percent under the second policy alternative.
Therefore, based on these considerations, we are proposing that in
cases where a facility does not receive a score on one or more measures
but receives scores on enough measures to receive a TPS, we would
redistribute the weights of any measures for which the facility does
not receive a score to the remaining measures proportionately based on
their measures weight as a percent of the TPS. This redistribution
would occur across all measures, regardless of their domain, and would
be effective beginning PY 2021. We have concluded that this policy
would more effectively maintain the Meaningful Measure Initiative's
priorities in the ESRD QIP's measure weights in situations where a
facility does not receive a score on one or more measures. We believe
that this proportional reweighting would ensure ESRD QIP TPSs are
calculated in a fair and equitable manner.
We seek comment on this proposal.
4. Proposed Update to the Requirement To Begin Reporting Data for the
ESRD QIP
In the CY 2013 ESRD PPS final rule, we finalized our current policy
to begin counting the number of months in which a facility is open on
the first day of the month after the facility's CMS Certification
Number (CCN) Open Date (77 FR 67512 through 67513). In response to
comments suggesting that facilities be required to begin reporting on
the first day of the third month after its CCN Open Date, we agreed
that a facility needs time to ensure that its systems are in place to
report the data, and we adopted policies that would allow new
facilities to be exempted from scoring on individual measures based on
their CCN Open Date. Despite these policies, we have continued to
receive feedback that new facilities need additional time to deploy
their information systems and enroll in CROWNWeb and NHSN. This
feedback was presented both through the rulemaking process (80 FR
69066), and during the period in which facilities preview their scores.
In response to this continued feedback, we have taken another look at
our eligibility policies for new facilities, keeping in mind that
program requirements have become more complex over time, and have
concluded that our existing policy may not provide new facilities with
sufficient time to enroll in CROWNWeb and the NHSN, or otherwise
prepare to report the data needed for the ESRD QIP.
Accordingly, for PY 2021 and beyond, we are proposing to update
this policy. The proposed policy would require facilities to collect
data for purposes of the ESRD QIP beginning with services furnished on
the first day of the month that is 4 months after the month in which
the CCN becomes effective. For example, if a facility has a CCN
effective date of January 15, 2019, that facility would be required to
begin collecting data for purposes of the ESRD QIP beginning with
services furnished on May 1, 2019. The proposed policy would provide
facilities with a longer time period than they are given now to
[[Page 34343]]
become familiar with the processes for collecting and reporting ESRD
QIP data before those data are used for purposes of scoring. We believe
this policy appropriately balances our desire to incentivize prompt
participation in the ESRD QIP with the practical challenges facing new
ESRD facilities as they begin operations.
We welcome public comments on this proposal.
5. Estimated Payment Reduction for the PY 2021 ESRD QIP
Under our current policy, a facility will not receive a payment
reduction in connection with its performance under the PY 2021 ESRD QIP
if it achieves a minimum TPS that is equal to or greater than the total
of the points it would have received if: (1) It performs at the
performance standard for each clinical measure; and (2) it receives the
number of points for each reporting measure that corresponds to the
50th percentile of facility performance on each of the PY 2019
reporting measures (82 FR 50787 through 50788).
We were unable to calculate a minimum a TPS for PY 2021 in the CY
2018 ESRD PPS final rule because we were not yet able to calculate the
performance standards for each of the clinical measures. We therefore
stated in the CY 2018 ESRD PPS final rule (82 FR 50787 through 50788)
that we would publish the minimum TPS for the PY 2021 ESRD QIP in the
CY 2019 ESRD PPS final rule.
Based on the estimated performance standards proposed in section
IV.B.2 of this proposed rule, we estimate that a facility must meet or
exceed a minimum TPS of 57 for PY 2021. For all of the clinical
measures, these data come from CY 2017. We are proposing that a
facility that achieves a TPS below the minimum TPS that we set for PY
2021 would receive payment reduction based on the estimated TPS ranges
indicated in Table 16.
Table 16--Estimated Payment Reduction Scale for PY 2021 Based on the
Most Recently Available Data
------------------------------------------------------------------------
Total performance score Reduction (%)
------------------------------------------------------------------------
100-57.................................................. 0
56-47................................................... 0.5
46-37................................................... 1.0
36-27................................................... 1.5
26-0.................................................... 2.0
------------------------------------------------------------------------
We intend to finalize the minimum TPS for PY 2021, as well as the
payment reduction ranges for that PY, in the CY 2019 ESRD PPS final
rule.
We see comment on these proposals.
6. Data Validation Proposals for PY 2021 and Subsequent Years
One of the critical elements of the ESRD QIP's success is ensuring
that the data submitted to calculate measure scores and TPSs are
accurate. The ESRD QIP currently includes two validation studies for
this purpose: The CROWNWeb pilot data validation study (OMB Control
Number 0938-1289) and the NHSN dialysis event validation study (OMB
Control Number 0938-1340).
Since the PY 2016 ESRD QIP, we have validated data submitted to
CROWNWeb for each payment year by sampling no more than 10 records from
300 randomly selected facilities (78 FR 72223 through 72224). In the CY
2018 ESRD PPS final rule, we finalized that for PY 2020, we would
continue validating these data using the same methodology, but also
finalized that we would deduct 10 points from a facility's TPS for PY
2020 if the facility was selected for validation but did not submit the
requested records within 60 calendar days of receiving a request (82 FR
50766 through 50767).
Since we issued the CY 2018 ESRD PPS final rule, we have considered
whether it is appropriate to continue to refer to this validation of
CROWNWeb data as a study. We analyzed the CROWNWeb data that we used
for purposes of the PY 2016 validation study to determine how reliable
the current methodology is, and our analysis showed an overall match
rate of 92.2 percent among the facilities selected for participation.
Additionally, based on our statistical analyses, we have concluded that
the validation study is well-powered when we sample 10 records per
facility from 300 facilities, meaning that a validation study
implemented with those sampling requirements will meet our needs when
assessing the accuracy and completeness of facilities' CROWNWeb data
submissions.
This analysis indicates that our validation methodology produces
reliable results and can be used to ensure that accurate ESRD QIP data
are reported to CROWNWeb. Therefore, we are proposing to validate the
CROWNWeb data submitted for the ESRD QIP, beginning with CY 2019 data
submitted for PY 2021, using the methodology we first adopted for the
PY 2016 ESRD QIP and updated for the PY 2020 ESRD QIP. Under this
methodology, we would sample no more than 10 records from 300 randomly
selected facilities each year, and we would deduct 10 points from a
facility's TPS if the facility was selected for validation but did not
submit the requested records.
With respect to data submitted to the NSHN, we have been developing
and testing a protocol for validating those data on a statistically
relevant scale. For PY 2020, our methodology for this feasibility study
is to randomly select 35 facilities and require that each of those
facilities submit 10 patient records covering 2 quarters of data
reported in CY 2018. Our selection process targets facilities for NHSN
validation by identifying which facilities that are at risk for under-
reporting. For additional information on this methodology, we refer
readers to the CY 2018 ESRD PPS final rule (82 FR 50766 through 50767).
We have continued to work with the Centers for Disease Control and
Prevention (CDC) to determine the most appropriate sample size for
achieving reliable validation results through this NSHN dialysis event
validation study. Based on recent statistical analyses conducted by the
CDC, we have concluded that to achieve the most reliable results for a
payment year, we would need to review approximately 6,072 charts
submitted by 303 facilities. This sample size would produce results
with a 95 percent confidence level and a 1 percent margin of error.
Based on these results and our desire to ensure that dialysis event
data reported to the NHSN for purposes of the ESRD QIP is accurate, we
are proposing to increase the sample sizes used for the NHSN dialysis
event validation study, over a 2 year period, to 300 facilities and 20
records per quarter for each of the first 2 quarters of the CY for each
facility selected to participate in the study.
Specifically, for PY 2021, we are proposing to increase the number
of facilities that we would select for validation to 150, and then for
PY 2022, to increase that number to 300. With respect to the number of
patient records that each selected facility would be required to submit
to avoid a 10 point deduction to its TPS for that payment year, we are
proposing that for both PY 2021 and PY 2022, each selected facility
must submit 20 patient records per quarter for each of the first 2
quarters of the CY, within 60 calendar days of receiving a request. We
are also proposing to continue targeted validation.
We seek comments on these proposals. We also seek comments on
potential future policy proposals that would encourage accurate,
comprehensive reporting to the NHSN, such as introducing a penalty for
facilities that do not meet an established reporting or data accuracy
threshold,
[[Page 34344]]
introducing a bonus for facilities that perform above an established
reporting or data accuracy threshold, developing targeted education on
NHSN reporting, or requiring that a facility selected for validation
that does not meet an established reporting or data accuracy threshold
be selected again the next year.
C. Proposed Requirements for the PY 2022 ESRD QIP
1. Proposed Continuing and New Measures for the PY 2022 ESRD QIP
If our proposal to remove four measures beginning with the PY 2021
ESRD QIP is finalized, the PY 2021 ESRD QIP measure set would have 12
measures. In the CY 2013 ESRD PPS final rule, we finalized that once a
quality measure is selected and finalized for the ESRD QIP through
rulemaking, the measure would continue to remain part of the Program
for all future years, unless we remove or replace it through rulemaking
or notification (if the measure raises potential safety concerns) (77
FR 67475). In addition to continuing all of the measures included in
the PY 2021 ESRD QIP, we are proposing to adopt two new measures
beginning with the PY 2022 ESRD QIP: Percentage of Prevalent Patients
Waitlisted clinical measure and the Medication Reconciliation for
Patients Receiving Care at Dialysis Facilities reporting measure.
a. Proposed Percentage of Prevalent Patients Waitlisted (PPPW) Clinical
Measure
We are proposing to add one new transplant clinical measure to the
ESRD QIP measure set beginning with PY 2022: (1) Percentage of
Prevalent Patients Waitlisted (PPPW). The proposed new PPPW measure
would align the ESRD QIP more closely with a Meaningful Measures
Initiative priority area--increased focus on effective communication
and coordination. The proposed measure assesses the percentage of
patients at each dialysis facility who were on the kidney or kidney-
pancreas transplant waitlist.
Background
The benefits of kidney transplantation over dialysis as a modality
for renal replacement therapy for patients with ESRD are well
established. Although no clinical trials comparing the two have ever
been done due to ethical considerations, a large number of
observational studies have been conducted demonstrating improved
survival and quality of life with kidney transplantation.\11\ Despite
the benefits of kidney transplantation, the total number of transplants
performed in the U.S. has stagnated since 2006.\12\ There is also wide
variability in transplant rates across ESRD networks.\13\ Given the
importance of kidney transplantation to patient survival and quality of
life, as well as the variability in waitlist rates among facilities, a
measure to encourage facilities to coordinate care with transplant
centers to waitlist patients is warranted.
---------------------------------------------------------------------------
\11\ Tonelli M, Wiebe N, Knoll G, et al. Systematic review:
Kidney transplantation compared with dialysis in clinically relevant
outcomes. American Journal of Transplantation 2011 Oct; 11(10):
2093-2109.
\12\ Schold JD, Buccini LD, Goldfarb DA, et al. Association
between kidney transplant center performance and the survival
benefit of transplantation versus dialysis. Clin J Am Soc Nephrol.
2014 Oct 7; 9(10):1773-80.
\13\ Patzer RE, Plantinga L, Krisher J, Pastan SO. Dialysis
facility and network factors associated with low kidney
transplantation rates among United States dialysis facilities. Am J
Transplant. 2014 Jul; 14(7):1562-72.
---------------------------------------------------------------------------
This measure emphasizes shared accountability between dialysis
facilities and transplant centers.
Data Sources
The proposed PPPW measure uses CROWNWeb data to calculate the
denominator, including the risk adjustment and exclusions. The Organ
Procurement and Transplant Network (OPTN) is the data source for the
numerator (patients who are waitlisted.) The OPTN is a public-private
partnership established by the National Organ Transplant Act in 1984.
The private nonprofit organization, United Network for Organ Sharing
(UNOS) handles administration of the waitlist under a contract with the
federal government. The Nursing Home Minimum Dataset and Questions 17u
and 22 on the Medical Evidence Form CMS-2728 are used to identify ESRD
patients who were admitted to a skilled nursing facility (SNF) because
those patients are excluded from the measure. A separate CMS file that
contains final action claims submitted by hospice providers is used to
identify ESRD patients who have been admitted to hospice because those
patients are also excluded from the measure.
Outcome
The PPPW measure tracks the percentage of patients attributed to
each dialysis facility during a 12-month period who were on the kidney
or kidney-pancreas transplant waitlist. The measure is a directly
standardized percentage, in that each facility's percentage of kidney
transplant patients on the kidney transplant waitlist is based on the
number of patients one would expect to be waitlisted for a facility
with patients of similar age and co-morbidities.
Cohort
The PPPW measure includes ESRD patients who are under the age of 75
on the last day of each month and who are attributed to the dialysis
facility. We create a treatment history file using a combination of
Medicare dialysis claims, the Medical Evidence Form CMS-2728, and data
from CROWNWeb as the data source for the facility attribution. This
file provides a complete history of the status, location, and dialysis
treatment modality of an ESRD patient from the date of the first ESRD
service until the patient dies or until the measurement period ends.
For each patient, a new record is created each time he or she changes
facility or treatment modality. Each record represents a time period
associated with a specific modality and dialysis facility. Each
patient-month is assigned to only one facility. A patient could be
counted up to 12 times in a 12-month reporting period, and home
dialysis is included.
Inclusion and Exclusion Criteria
The PPPW measure excludes patients 75 years of age or older on the
last day of each month. Additionally, patients who are admitted to a
SNF or hospice during on the date that the monthly count takes place
are excluded from the denominator for that month. An eligible monthly
patient count takes place on the last day of each month during the
performance period.
Risk Adjustment
The PPPW measure is adjusted for patient age. The measure is a
directly standardized percentage, in the sense that each facility's
percentage of patients on the waitlist is adjusted to the national age
distribution. Further information on the risk adjustment model can be
found in the PPPW Methodology Report (https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/ESRDQIP/061_TechnicalSpecifications.html). We assume a logistic regression
model for the probability that a prevalent patient is waitlisted.
2017 Measures Application Partnership Review
We submitted the PPPW measure to the Measures Application
Partnership in 2017 for consideration as part of the pre-rulemaking
process, and Measures Application Partnership's final
[[Page 34345]]
recommendations may be found at https://www.qualityforum.org/WorkArea/linkit.aspx?LinkIdentifier=id&ItemID=86972.
The Measures Application Partnership expressed conditional support
for the PPPW measure for inclusion in the ESRD QIP. The Measures
Application Partnership acknowledged that the measure addresses an
important quality gap in dialysis facilities, but discussed a number of
factors that it believed should be balanced when implementing the
measure. The Measures Application Partnership reiterated the critical
need to help patients receive kidney transplants to improve their
quality of life and reduce their risk of mortality. The Measures
Application Partnership also noted that there are disparities in the
receipt of kidney transplants and there is a need to incentivize
dialysis facilities to educate patients about waitlisting processes and
requirements. The Measures Application Partnership also acknowledged
that a patient's suitability to be waitlisted may not be within the
control of a dialysis facility or transplant centers. The Measures
Application Partnership also noted the need to ensure that the measure
is appropriately risk-adjusted and recommended that CMS explore whether
it would be appropriate to adjustment the measure for social risk
factors and proper risk model performance. The Measures Application
Partnership conditionally supported the measure with the condition that
CMS submit it to the NQF for consideration of endorsement.
Specifically, the Measures Application Partnership recommended that
this measure be reviewed by NQF's Scientific Methods Panel as well the
Renal Standing Committee. The Measures Application Partnership
recommended that as part of the endorsement process, the NQF examine
the validity of the measure, particularly the risk adjustment model and
if it appropriately accounts for social risk. Finally, the Measures
Application Partnership noted the need for the Disparities Standing
Committee to provide guidance on potential health equity concerns.
In response to these recommendations, we have submitted the measure
to the NQF for consideration of endorsement, and our understanding is
that it will be evaluated by all of the committees that the Measures
Application Partnership suggested. We note further that access to
transplantation is a known area of disparity and has a known
performance gap, and the Measures Application Partnership coordinating
committee expressed strong support for the measure.
For additional information on the Measures Application
Partnership's evaluation of measures for the ESRD QIP, we refer readers
to Measures Application Partnership's website at: https://www.qualityforum.org/WorkArea/linkit.aspx?LinkIdentifier=id&ItemID=86972.
Based on the benefits of kidney transplantation over dialysis as a
modality for renal replacement therapy for patients with ESRD, and
taking into account the Measures Application Partnership's conditional
endorsement and our submission of the measure to the NQF for
consideration of endorsement, we propose to adopt the PPPW measure
beginning with the PY 2022 ESRD QIP. We note also that there are
currently no NQF-endorsed transplant measures that we could have
considered, and that we believe we should adopt this measure under
section 1881(h)(2)(B)(ii) of the Act due to its clinical significance
for the ESRD patient population.
We welcome comments on this proposal.
b. Proposed New Medication Reconciliation for Patients Receiving Care
at Dialysis Facilities (MedRec) Reporting Measure
We are proposing to adopt the New Medication Reconciliation for
Patients Receiving Care at Dialysis Facilities (MedRec) reporting
measure for the ESRD QIP measure set, beginning with PY 2022. The
MedRec measure assesses whether a facility has appropriately evaluated
a patient's medications, an important safety concern for the ESRD
patient population because those patients typically take a large number
of medications. Inclusion of the MedRec measure in the ESRD QIP measure
set would align with the Meaningful Measure Initiative priority area of
making care safer by reducing harm caused by care delivery.
Medication management is a critical safety issue for all patients,
but especially for patients with ESRD, who are often prescribed 10 or
more medications simultaneously, take an average of 17 to 25 doses per
day, have numerous comorbid conditions, have multiple healthcare
providers and prescribers, and undergo frequent medication regimen
changes.\14\ Medication-related problems contribute significantly to
the approximately $40 billion in public and private funds spent
annually on ESRD care in the U.S.; for patients with chronic kidney
disease alone, this figure is $10 billion.\15\ We believe that
medication management practices focusing on medication documentation,
review, and reconciliation could systematically identify and resolve
medication-related problems, improve ESRD patient outcomes, and reduce
total costs of care.
---------------------------------------------------------------------------
\14\ Cardone KE, Bacchus S, Assimon MM, Pai AB, Manley HJ.
Medication-related problems in CKD. Adv Chronic Kidney Dis.
2010;17(5):404-412.
\15\ Parker WM and Cardone KE. Medication Management Services in
a Dialysis Center: Patient and Dialysis Staff Perspectives. Albany
College of Pharmacy and Health Services. January 2015. Available at:
https://www.acphs.edu. Accessed March 22, 2016.
---------------------------------------------------------------------------
Data Sources
The proposed MedRec measure is calculated using administrative
claims and electronic clinical data from CROWNWeb, and facility medical
records. For additional information on the measure, we refer readers to
the measure steward's website; the Kidney Care Quality Alliance (KCQA):
https://kidneycarepartners.com/wp-content/uploads/2014/11/tbKCQA_NQFendorsedSpecs10-26-17.pdf. The KCQA is funded by Kidney Care
Partners (KCP), a coalition of patient advocates, dialysis
professionals, care providers, and manufacturers, and was established
in 2005 as an independent organization for the purpose of developing
quality measures for use in the dialysis setting of care.
Outcome
The outcome of the MedRec measure is the provision of medication
reconciliation services and their documentation by an eligible
professional for patients attributed to dialysis facilities each month.
Cohort
The MedRec measure includes all patients attributed to a dialysis
facility during each month of the performance period. The numerator is
the number of patient-months for which medication reconciliation was
performed and documented by an eligible professional during the
reporting period. The denominator statement is the total number of
eligible patient-months for all patients attributed to a dialysis
facility during the reporting period.
Inclusion and Exclusion Criteria
The MedRec measure excludes in-center patients who receive less
than 7 hemodialysis treatments in the facility during the reporting
month.
Risk Adjustment
The MedRec measure is not risk-adjusted because it is process
measure.
[[Page 34346]]
2017 Measures Application Partnership Review
We submitted the MedRec measure to the Measures Application
Partnership in 2017 for consideration as part of the pre-rulemaking
process, and the Measures Application Partnership addressed the measure
in its February 2018 Hospital Workgroup report.\16\ The Measures
Application Partnership supported the measure for the ESRD QIP, noting
that the measure is NQF-endorsed and addresses both patient safety and
care coordination. The Measures Application Partnership also noted that
the topic of medication reconciliation is currently a gap area in the
ESRD QIP's measure set and that the measure has broad support across
stakeholders. The Measures Application Partnership emphasized that
medication reconciliation is an important issue for ESRD patients who
see multiple clinicians and may require numerous medications. The
Measures Application Partnership noted that administration of the wrong
medication can have grave consequences for an ESRD patient.
---------------------------------------------------------------------------
\16\ Available at: https://www.qualityforum.org/Publications/2018/02/2018_Considerations_for_Implementing_Measures_Final_Report_-_Hospitals.aspx.
---------------------------------------------------------------------------
For additional information on the Measures Application
Partnership's evaluation of measures for the ESRD QIP, we refer readers
to the Measures Application Partnership's website at: https://www.qualityforum.org/Setting_Priorities/Partnership/Measure_Applications_Partnership.aspx.
We agree with the Measures Application Partnership's assessment
that the MedRec measure is appropriate for the ESRD QIP because
medication reconciliation is currently a gap area in the Program's
measure set and is an important issue for ESRD patients who receive
care from multiple clinicians and providers and may require numerous
medications. ESRD patients can be significantly harmed by medication
administration errors. We continue to believe that care coordination is
a critical quality improvement topic. We therefore, propose to adopt
the MedRec measure beginning with the PY 2022 ESRD QIP and to place the
measure into the Patient Safety Domain. We note further that, as
required by section 1881(h)(2)(B)(i) of the Act, CMS is required to use
endorsed measures in the ESRD QIP unless the exception at section
1881(h)(2)(B)(ii) of the Act applies. The MedRec measure is endorsed by
NQF as #2988.
2. Proposed Performance Period for the PY 2022 ESRD QIP
We propose to establish CY 2020 as the performance period for the
PY 2022 ESRD QIP for all measures. We continue to believe that a 12-
month performance period provides us sufficiently reliable quality
measure data for the ESRD QIP.
We welcome comment on this proposal.
3. Proposed Performance Standards, Achievement Thresholds, and
Benchmarks for the PY 2022 ESRD QIP and Subsequent Years
Section 1881(h)(4)(A) of the Act provides that ``the Secretary
shall establish performance standards with respect to measures elected
. . . for a performance period with respect to a year.'' Section
1881(h)(4)(B) of the Social Security Act (the Act) further provides
that the ``performance standards . . . shall include levels of
achievement and improvement, as determined appropriate by the
Secretary.'' We use the performance standards to establish the minimum
score a facility must achieve to avoid a Medicare payment reduction.
a. Proposed Performance Standards, Achievement Thresholds, and
Benchmarks for Clinical Measures in the PY 2022 ESRD QIP
For the same reasons stated in the CY 2013 ESRD PPS final rule (77
FR 67500 through 76502), we are proposing for PY 2022 to set the
performance standards, achievement thresholds, and benchmarks for the
clinical measures (including the proposed PPPW measure) at the 50th,
15th, and 90th percentile, respectively, of the national performance in
CY 2018. We are also proposing to apply these performance standards to
all clinical measures we use for the ESRD QIP in future payment years.
We welcome comment on these proposals.
At this time, we do not have the necessary data to assign numerical
values to the proposed performance standards for the clinical measures
because we do not yet have data from CY 2018 or the first period of CY
2019. We intend to publish these numerical values, using data from CY
2018 and the first portion of CY 2019, in the CY 2019 ESRD PPS final
rule.
b. Proposed Performance Standards for the PY 2022 Reporting Measures
In the CY 2016 ESRD PPS final rule, we finalized performance
standards for the Screening for Clinical Depression and Follow-Up
reporting measure (79 FR 66209). In the CY 2017 ESRD PPS final rule, we
finalized performance standards for the Ultrafiltration Rate reporting
measure (81 FR 77916) and the NHSN Dialysis Event reporting measure (81
FR 77916). We propose to continue use of these performance standards
for these reporting measures for the PY 2022 and future payment years.
For the proposed MedRec reporting measure, we propose to set the
performance standard for PY 2022 and future payment years as
successfully reporting the following data elements for the measure to
CROWNWeb, for each qualifying patient, on a monthly basis, during the
performance period: (1) The date that the facility completed the
medication reconciliation, (2) the type of clinician who completed the
medication reconciliation, and (3) the name of the clinician.
We welcome comments on these proposals.
4. Proposals for Scoring the PY 2022 ESRD QIP and Subsequent Years
a. Proposal To Score Facility Performance on Clinical Measures Based on
Achievement
In the CY 2014 ESRD PPS final rule, we finalized a policy for
scoring performance on clinical measures based on achievement (78 FR
72215). We propose to use this methodology for scoring achievement for
each clinical measure, including the proposed PPPW measure, for the PY
2022 ESRD QIP and for future program years.
b. Proposal To Score Facility Performance on Clinical Measures Based on
Improvement
In the CY 2014 ESRD PPS final rule, we finalized a policy for
scoring performance on clinical measures based on improvement (78 FR
72215 through 72216). For the PY 2022 ESRD QIP, we propose to continue
that policy, defining the improvement threshold as the facility's
performance on the measure during the baseline period (which for PY
2022, would be CY 2019). The facility's improvement score would be
calculated by comparing its performance on the measure during CY 2020
(the proposed performance period) to the improvement threshold and
benchmark. We also propose to use this same methodology for scoring the
PPPW measure proposed in section IV.C.1.a of this proposed rule.
Finally, we propose to continue this policy for subsequent years of the
ESRD QIP.
c. Scoring Facility Performance on Reporting Measures
In the CY 2015 ESRD PPS final rule, we finalized policies for
scoring performance on the Clinical Depression
[[Page 34347]]
Screening and Follow-Up reporting measures in the ESRD QIP (79 FR 66210
through 66211). In the CY 2017 ESRD PPS final rule, we finalized
policies for scoring performance on the Ultrafiltration Rate reporting
measure (81 FR 77917). We propose to continue use of these policies for
the two continuing reporting measures for the PY 2022 ESRD QIP and
subsequent years.
For the PY 2022 ESRD QIP, we propose to score facilities with a CCN
Open Date before January 1st of the performance period year (which, for
the PY 2022 ESRD QIP, would be 2020) on the proposed MedRec measure
using a formula similar to the one previously finalized for the
Ultrafiltration Rate reporting measure (81 FR 77917):
((# patient-months successfully reporting data)/(# eligible patient-
months)*12)-2)
As with the Ultrafiltration Rate reporting measure, we would round
the result of this formula (with half rounded up) to generate a measure
score from 0-10. We also propose to score facilities using this
methodology for subsequent years of the ESRD QIP.
We welcome public comment on all of these scoring proposals.
d. Scoring the ICH CAHPS Clinical Measure
In the CY 2015 ESRD PPS final rule, we finalized a policy for
scoring performance on the ICH CAHPS clinical measure based on both
achievement and improvement (79 FR 66209 through 66210). We are
proposing to use this scoring methodology for the PY 2022 ESRD QIP and
subsequent years.
We welcome comments on this scoring proposal.
5. Proposals for Weighting the Measure Domains, and for Weighting the
TPS for PY 2022
For PY 2022, we are proposing to continue use of the domain weights
proposed for PY 2021 in section IV.B.3 of this proposed rule, and to
update the individual measure weights in the Care Coordination Domain
and Safety Domain to reflect the introduction of one new proposed
measure in each of those domains. We are proposing to assign the
proposed PPPW measure to the Care Coordination Domain, with a weight of
4 percent of the TPS. To accommodate the addition of the PPPW measure
to the Care Coordination Domain without having to adjust the domain's
overall weight, we are proposing to reduce the weight of two continuing
measures in the Care Coordination Domain as follows: The SRR measure
from 14 to 12 percent and the SHR measure from 14 to 12 percent. We are
proposing to assign the proposed MedRec measure to the Safety Domain,
with a weight of 4 percent of the TPS (see Table 17). To accommodate
the addition of the new MedRec measure to the Safety Domain without
having to adjust the domain's overall weight, we are proposing to
reduce the weight of two continuing measures in the Safety Domain as
follows: The NHSN BSI clinical measure from 9 to 8 percent and the NHSN
Dialysis Event measure from 6 to 3 percent. To assign these proposed
measure weights, we used the same rationale as proposed for PY 2021.
Table 17--Proposed Revisions to Measure Weights for the PY 2022 ESRD QIP
------------------------------------------------------------------------
Measure weight Measure weight as
Measures/measure topics by within the domain percent of TPS
subdomain (proposed for PY (proposed for PY
2022) 2022)
------------------------------------------------------------------------
CARE COORDINATION MEASURE DOMAIN
------------------------------------------------------------------------
SRR measure..................... 40.00%............ 12.00%.
SHR measure..................... 40.00............. 12.00.
PPPW measure.................... 13.33............. 4.00.
Clinical Depression and Follow- 6.67.............. 2.00.
Up reporting measure.
---------------------------------------
TOTAL: CARE COORDINATION 100% of Care 30% of TPS.
MEASURE DOMAIN. Coordination
Measure Domain.
------------------------------------------------------------------------
SAFETY MEASURE DOMAIN
------------------------------------------------------------------------
MedRec measure.................. 26.67............. 4.00.
NHSN BSI clinical measure....... 53.33............. 8.00.
NHSN Dialysis Event reporting 20.00............. 3.00.
measure.
---------------------------------------
TOTAL: SAFETY MEASURE DOMAIN 100% of Safety 15% of TPS.
Measure Domain.
------------------------------------------------------------------------
In section IV.B.3.b of this proposed rule, we propose that to be
eligible to receive a TPS, a facility must be eligible to be scored on
at least one measure in two of the four measure domains. If that
proposal is finalized, we would apply it to PY 2022 and subsequent
payment years.
We seek comments on these proposals.
6. Eligibility Proposals for the PY 2022 ESRD QIP and Subsequent
Payment Years
Our policy is to score facilities on clinical and reporting
measures for which they have a minimum number of qualifying patients
during the performance period (77 FR 67510 through 67512). We propose
to continue use of these minimum data policies for the PY 2022 ESRD QIP
measure set and in subsequent years. We are also proposing to use these
same minimum data policies for the proposed PPPW measure and proposed
MedRec measure for the PY 2022 ESRD QIP and subsequent years.
We seek comment on these proposals.
7. Payment Reductions for the PY 2022 ESRD QIP
Section 1881(h)(3)(A)(ii) of the Act requires the Secretary to
ensure that the application of the scoring methodology results in an
appropriate distribution across facilities, such that facilities
achieving the lowest TPSs receive the largest payment reductions. For
additional information on payment reduction policies, we refer readers
to the CY 2018 ESRD PPS final rule (82 FR 50787 through 50788).
Because we are not yet able to calculate the performance standards
for each of the clinical measures, we are also not able to calculate a
proposed minimum TPS at this time. In the CY 2020 ESRD PPS proposed
rule, we will propose the minimum TPS, based on CY 2018 data.
[[Page 34348]]
D. Proposed Requirements Beginning With the PY 2024 ESRD QIP
1. Proposed New Standardized First Kidney Transplant Waitlist Ratio for
Incident Dialysis Patients Clinical Measure
We are proposing to add one new transplant measure to the ESRD QIP
measure set beginning with PY 2024: Standardized First Kidney
Transplant Waitlist Ratio for Incident Dialysis Patients (SWR). The
proposed new SWR measure would align the ESRD QIP more closely with the
Meaningful Measures Initiative priority area of increased focus on
effective communication and coordination. The SWR Measure assesses the
number of patients who are placed on the transplant waitlist or receive
a living donor kidney within one year of the date when dialysis is
initiated. We believe this measure would encourage facilities to more
rapidly evaluate patients for transplant and coordinate the waitlisting
of those patients.\17\ Because the proposed SWR measure is limited to
patients in their first year of dialysis, it is more limited in scope
than the proposed PPPW measure, which includes patients who have been
on dialysis for longer than 1 year. We are proposing to introduce the
SWR measure for PY 2024 rather than PY 2022 because the proposed SWR
measure is calculated using 3 years of data.
---------------------------------------------------------------------------
\17\ Meier-Kriesche, Herwig-Ulf, and Bruce Kaplan. ``Waiting
time on dialysis as the strongest modifiable risk factor for renal
transplant outcomes: A Paired Donor Kidney Analysis1.''
Transplantation 74.10 (2002): 1377-1381; Meier-Kriesche, H. U.,
Port, F. K., Ojo, A. O., Rudich, S. M., Hanson, J. A., Cibrik, D.
M., Leichtman, A. B & Kaplan, B. (2000). Effect of waiting time on
renal transplant outcome. Kidney international, 58(3), 1311-1317.
---------------------------------------------------------------------------
Data Sources
The SWR Measure is calculated using administrative claims and
electronic clinical data. CROWNWeb is the primary source used to
attribute patients to dialysis facilities and dialysis claims are used
as an additional source. Information regarding onset of ESRD, the first
ESRD treatment date, death, and transplant is obtained from CROWNWeb
(including the Medical Evidence Form CMS-2728 and the Death
Notification Form CMS-2746) and Medicare claims, as well as the Organ
Procurement and Transplant Network.
Outcome
The SWR Measure tracks the number of incident patients attributed
to the dialysis facility under the age of 75 listed on the kidney or
kidney-pancreas transplant waitlist or who received living donor
transplants within the first year of initiating dialysis. Similar to
the PPPW measure, the SWR measure emphasizes shared accountability
between dialysis facilities and transplant centers.
Cohort
The SWR measure includes patients under the age of 75 and
attributed to the dialysis facility using CROWNWeb data and Medicare
claims who are listed on the kidney or kidney-pancreas transplant
waitlist or who received living donor transplants within the first year
of initiating dialysis. Patients are attributed to the dialysis
facility listed on the Medical Evidence Form CMS-2728.
Inclusion and Exclusion Criteria
The SWR measure excludes patients at the facility who were 75 years
of age or older at initiation of dialysis and patients at the facility
who were listed on the kidney or kidney-pancreas transplant waitlist
prior to the start of dialysis. Additionally, patients who are admitted
to a SNF or hospice at the time of initiation of dialysis are excluded.
Risk Adjustment
The SWR measure is adjusted for incident comorbidities and age.
Incident comorbidities were selected for adjustment into the SWR model
based on demonstration of a higher associated mortality (hazard ratio
above 1.0) and statistical significance (p-value in first year
mortality model). More details about the risk adjustment model can be
found in the SWR Methodology Report (https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/ESRDQIP/061_TechnicalSpecifications.html).
2017 Measures Application Partnership Review
We submitted the SWR measure to the Measures Application
Partnership in 2017 for consideration as part of the pre-rulemaking
process.
In its report (available on its website at: https://www.qualityforum.org/WorkArea/linkit.aspx?LinkIdentifier=id&ItemID=86972), the Measures Application
Partnership acknowledged that the SWR measure addresses an important
quality gap for dialysis facilities and discussed a number of factors
that it believed should be balanced when implementing the measure. The
Measures Application Partnership reiterated the critical need to help
patients receive kidney transplants to improve their quality of life
and reduce their risk of mortality. The Measures Application
Partnership also noted there are disparities in the receipt of kidney
transplants and there is a need to incentivize dialysis facilities to
educate patients about waitlist processes and requirements. The
Measures Application Partnership also acknowledged concerns and public
comment about the locus of control of the measure, where dialysis
facilities may not be able to as adequately influence a patient's
suitability to be waitlisted as well as the transplant center. The
Measures Application Partnership also noted the need to ensure the
measure is appropriately risk-adjusted and recommended the exploration
of adjustment for social risk factors and proper risk model
performance. The Measures Application Partnership ultimately
conditionally supported the measure with the condition that it is
submitted for NQF review and endorsement. Specifically, the Measures
Application Partnership recommended that this measure be reviewed by
the NQF Scientific Methods Panel as well the Renal Standing Committee.
The Measures Application Partnership recommended the endorsement
process examine the validity of the measure, particularly the risk
adjustment model and if it appropriately accounts for social risk.
Finally, the Measures Application Partnership noted the need for the
Disparities Standing Committee to provide guidance on potential health
equity concerns. Our understanding is that the NQF endorsement process
covers all of the Measure Application Partnership's conditions, and we
have submitted the measure for endorsement.
For additional information on the Measures Application
Partnership's evaluation of measures for the ESRD QIP, we refer readers
to Measures Application Partnership's website at: https://www.qualityforum.org/WorkArea/linkit.aspx?LinkIdentifier=id&ItemID=86972.
Based on the benefits of kidney transplantation over dialysis as a
modality for renal replacement therapy for patients with ESRD, and
taking into account the Measures Application Partnership's conditional
endorsement and our submission of the measure for NQF endorsement, we
propose to adopt the SWR measure beginning with the PY 2024 ESRD QIP.
We also propose to place this measure in the Transplant Waitlist
measure topic in the Care Coordination Domain, along with the PPPW
measure proposed in section IV.C.1.a of this proposed rule, and to
score the two measures accordingly as a measure topic. We note also
that there are currently no NQF-endorsed
[[Page 34349]]
transplant measures that we could have considered, and we believe that
we should adopt this measure under section 1881(h)(2)(B)(ii) of the Act
due to its clinical significance for the ESRD patient population.
We welcome comments on these proposals.
2. Proposed Performance Period for the SWR Measure
Because the SWR measure is calculated using 36 months of data, we
propose to establish a 36-month performance period for the proposed SWR
measure. With respect to PY 2024 ESRD QIP, this period would be CY 2019
through 2021. We believe that a 36-month performance period for the SWR
measure would enable us to calculate sufficiently reliable measure data
for the ESRD QIP.
a. Proposed Performance Standards, Achievement Thresholds, and
Benchmarks for the SWR Measure in the PY 2024 ESRD QIP
If our proposal in section IV.D.1 of this proposed rule is
finalized, then we would score the proposed SWR measure using a 36-
month performance period for purposes of achievement and a
corresponding 36-month baseline period for purposes of improvement. For
the PY 2024 ESRD QIP, these periods would be CY 2017 through 2019 for
achievement and CY 2018 through 2020 for improvement.
At this time, we do not have the necessary data to assign numerical
values to the performance standards for the SWR measure, because we do
not yet have data from CY 2017 through CY 2020.
V. Changes to the Durable Medical Equipment, Prosthetics, Orthotics,
and Supplies (DMEPOS) Competitive Bidding Program (CBP)
A. Background
Section 1847(a) of the Social Security Act (the Act), as amended by
section 302(b)(1) of the Medicare Prescription Drug, Improvement, and
Modernization Act of 2003 (MMA) (Pub. L. 108-173), requires the
Secretary of the Department of Health and Human Services (the
Secretary) to establish and implement competitive bidding programs in
competitive bidding areas (CBAs) throughout the United States (U.S.)
for contract award purposes for the furnishing of certain competitively
priced DMEPOS items and services. The competitive bidding programs of
the Medicare Durable Medical Equipment Prosthetics Orthotics and
Supplies (DMEPOS) Competitive Bidding Program (CBP), mandated by
section 1847(a) of the Act, are collectively referred to as ``DMEPOS
CBP''. A final rule published on April 10, 2007 in the Federal
Register, titled ``Competitive Acquisition for Certain DMEPOS and Other
Issues'', (72 FR 17992), referred to as ``2007 DMEPOS final rule'',
established competitive bidding programs for certain Medicare Part B
covered items of DMEPOS throughout the U.S. The competitive bidding
programs, which were phased in over several years, utilize bids
submitted by DMEPOS suppliers to establish applicable payment amounts
under Medicare Part B for certain DMEPOS items and services. Section
1847(a)(2) of the Act describes the items and services subject to the
DMEPOS CBP:
Off-the-shelf (OTS) orthotics for which payment would
otherwise be made under section 1834(h) of the Act.
Enteral nutrients, equipment and supplies described in
section 1842(s)(2)(D) of the Act.
Certain DME and medical supplies, which are covered items
(as defined in section 1834(a)(13) of the Act) for which payment would
otherwise be made under section 1834(a) of the Act.
The DMEPOS CBP was modeled after successful demonstration programs
from the late 1990s and early 2000s, discussed in the proposed rule
published on May 1, 2006 in the Federal Register, titled ``Competitive
Acquisition for Certain Durable Medical Equipment, Prosthetics,
Orthotics, and Supplies (DMEPOS) and Other Issues'' (71 FR 25654)
referred to as ``2006 DMEPOS proposed rule''. We received substantial
advice in the development of the DMEPOS CBP from the Program Advisory
and Oversight Committee (PAOC), which was mandated through section
1847(c) of the Act, as amended by section 302(b)(1) of the MMA, to
establish a committee to provide advice to the Secretary with respect
to the following functions:
The implementation of the Medicare DMEPOS CBP.
The establishment of financial standards for entities
seeking contracts under the Medicare DMEPOS CBP, taking into account
the needs of small providers.
The establishment of requirements for collection of data
for the efficient management of the Medicare DMEPOS CBP.
The development of proposals for efficient interaction
among manufacturers, providers of services, suppliers (as defined in
section 1861(d) of the Act), and individuals.
The establishment of quality standards for DMEPOS
suppliers under section 1834(a)(20) of the Act.
As authorized under section 1847(c)(2) of the Act, the PAOC members
were appointed by the Secretary of the Department of Health and Human
Services (the Secretary) and represented a broad mix of relevant
industry, consumer, and government parties. The representatives had
expertise in a variety of subject matter areas, including DMEPOS,
competitive bidding methodologies and processes, and rural and urban
marketplace dynamics.
In the DMEPOS CBP, suppliers bid for contracts for furnishing
multiple items and services, identified by Healthcare Common Procedure
Coding System (HCPCS) codes, under several different product
categories. Section 1847(a)(1)(B) and (D) of the Act mandated the phase
in of the DMEPOS CBP in nine of the largest MSAs (Round 1), followed by
91 additional large MSAs (Round 2), and finally in additional areas,
which do not necessarily need to be tied to MSAs. Round 1 and Round 2
CBAs that included more than one state have been subdivided into state-
specific CBAs. The CBP is currently operating in 130 CBAs throughout
the nation, and those CBAs contain approximately half of the enrolled
Medicare Part B population. The other half of the Medicare Part B
population resides in areas where the CBP has not yet been phased in,
including approximately 275 MSAs. In addition, CMS phased in a national
mail order program for diabetic testing supplies in 2013. In the Round
1 2017 and Round 2 Recompete competitions, the product categories
currently include: Enteral Nutrients, Equipment and Supplies; General
Home Equipment and Related Supplies and Accessories (including hospital
beds, pressure reducing support surfaces, commode chairs, patient
lifts, and seat lifts); Nebulizers and Related Supplies; Negative
Pressure Wound Therapy (NPWT) Pumps and Related Supplies and
Accessories; Respiratory Equipment and Related Supplies and Accessories
(including oxygen and oxygen equipment, continuous positive pressure
airway devices, and respiratory assist devices); Standard Mobility
Equipment and Related Accessories (including walkers, standard manual
wheelchairs, and standard power wheelchairs); and Transcutaneous
Electrical Nerve Stimulation (TENS) Devices and Supplies. Since there
are multiple items in each product category, a ``composite'' bid is
calculated for each supplier to determine which supplier's bids would
result in the greatest savings
[[Page 34350]]
to Medicare for the product category. A supplier's composite bid for a
product category is calculated by multiplying a supplier's bid for each
item in a product category by the item's weight and taking the sum of
these numbers across items. The weight of an item is based on the
annual utilization of the individual item compared to other items
within that product category based on recent Medicare national claims
data. Item weights are used to reflect the relative market importance
of each item in the product category. Item weights ensure that the
composite bid is directly comparable to the costs that Medicare would
pay if it bought the expected bundle of items in the product category
from the supplier. The sum of each supplier's weighted bids for every
item in a product category is the supplier's composite bid for that
product category.
Each supplier submits a bid amount for each item in the product
category, and multiple contracts must be awarded for each product
category in each CBA. Section 1847(b)(5) of the Act mandates a single
payment amount (SPA) for each item based on winning bids from multiple
suppliers, so various options for calculating the SPA were addressed in
the 2006 DMEPOS proposed rule (71 FR 25679). The methods of using the
minimum winning bid amount for each item, the maximum winning bid
amount for each item, the median of the winning bid amounts for each
item, and an average adjusted price based on the method used during the
demonstrations were considered during this rulemaking. The SPA
calculation method using the median of the winning bids was finalized
in the 2007 DMEPOS final rule (72 FR 18044) based on the rationale that
the median of winning bids represents the bid amounts of the winning
suppliers as a whole, whereas the minimum and maximum bids did not; it
is a simpler method than the average adjusted price method; and it is
consistent with the longstanding Medicare payment rules for DMEPOS that
established allowed payment amounts based on average reasonable charges
rather than minimum or maximum charges.
To implement section 522(a) of the Medicare Access and Children's
Health Insurance Program Reauthorization Act of 2015 (Pub. L. 114-10)
(MACRA), we published a final rule on November 4, 2016 in the Federal
Register, titled ``End-Stage Renal Disease Prospective Payment System,
Coverage and Payment for Renal Dialysis Services Furnished to
Individuals With Acute Kidney Injury, End-Stage Renal Disease Quality
Incentive Program, Durable Medical Equipment, Prosthetics, Orthotics
and Supplies Competitive Bidding Program Bid Surety Bonds, State
Licensure and Appeals Process for Breach of Contract Actions, Durable
Medical Equipment, Prosthetics, Orthotics and Supplies Competitive
Bidding Program and Fee Schedule Adjustments, Access to Care Issues for
Durable Medical Equipment; and the Comprehensive End-Stage Renal
Disease Care Model'' (81 FR 77834), referred to as ``2016 ESRD PPS
final rule''.
Section 1847(a)(1)(G) of the Act, as added by section 522(a) of
MACRA, requires bidding entities to secure a bid surety bond by the
deadline for bid submission. Section 1847(a)(1)(G) of the Act provides
that, with respect to rounds of competitions under section 1847 of the
Act beginning not earlier than January 1, 2017 and not later than
January 1, 2019, a bidding entity may not submit a bid for a CBA
unless, as of the deadline for bid submission, the entity has (1)
obtained a bid surety bond, in the range of $50,000 to $100,000, in a
form specified by the Secretary consistent with paragraph (H) of
section 1847(a)(1) of the Act, and (2) provided the Secretary with
proof of having obtained the bid surety bond for each CBA in which the
entity submits its bid(s). We believe that section 522(a) of MACRA was
drafted under the assumption that the next round of competitive bidding
would have been implemented at some point between January 1, 2017 and
January 1, 2019. We have interpreted section 522(a) of MACRA as
applying to the next round of competitive bidding even though the next
round of competition will begin after the time period specified in the
statute. Section 1847(a)(1)(H)(i) of the Act provides that in the event
that a bidding entity is offered a contract for any product category
for a CBA, and its composite bid for such product category and area was
at or below the median composite bid rate for all bidding entities
included in the calculation of the single payment amount(s) for the
product category and CBA, and the entity does not accept the contract
offered, the bid surety bond(s) for the applicable CBAs will be
forfeited and the Secretary will collect on the bid surety bond(s). In
instances where a bidding entity does not meet the bid bond forfeiture
conditions for any product category for a CBA as specified in section
1847(a)(1)(H)(i) of the Act, then the bid surety bond liability
submitted by the entity for the CBA will be returned to the bidding
entity within 90 days of the public announcement of the contract
suppliers for such product category and area. As aforementioned, this
requirement was implemented as part of the CY 2016 ESRD PPS final rule
(81 FR 77834), so Sec. 414.412(h) now requires that bidding entities
obtain bid surety bonds, and if an entity is offered a contract for any
product category for a CBA, and its composite bid for such product
category and area is at or below the median composite bid rate for all
bidding entities included in the calculation of the single payment
amounts for the product category/CBA combination, and the entity does
not accept the contract offered, the bid surety bond for the applicable
CBA will be forfeited and CMS will collect on the bid surety bond via
Electronic Funds Transfer from the respective bonding company. Further
detailed conditions of the surety bonds were also clarified in the
final rule (81 FR 77931). The bid bond requirement is mentioned here in
the background section of this proposed rule because bid bond
forfeiture is tied to composite bids under the DMEPOS CBP, and this
rule proposes to change how composite bids are defined and to implement
lead item pricing under the DMEPOS CBP.
Section 1847(b)(5) of the Act provides that Medicare payment for
competitively bid items and services is made on an assignment-related
basis and is equal to 80 percent of the applicable SPA, less any unmet
Part B deductible described in section 1833(b) of the Act. Section
1847(b)(2)(A)(iii) of the Act prohibits the Secretary from awarding a
contract to an entity unless the Secretary finds that the total amounts
to be paid to contractors in a CBA are expected to be less than the
total amounts that would otherwise be paid. The DMEPOS CBP also
includes provisions to ensure beneficiary access to quality DMEPOS
items and services. Section 1847(b)(2)(A) of the Act directs the
Secretary to award contracts to entities only after a finding that the
entities meet applicable quality and financial standards and
beneficiary access to a choice of multiple suppliers in the area is
maintained, that is, more than one contract supplier is available for
the product category in the area.
Sections 1847(b)(6)(A)(i) and (b)(6)(A)(ii) of the Act provide that
payment will not be made under Medicare Part B for items and services
furnished under the CBP unless the supplier has submitted a bid to
furnish those items and has been awarded a contract. Therefore, in
order for a supplier that furnishes competitively bid items in a CBA to
receive payment for those items, the supplier must have submitted a bid
to furnish those particular items and must have been awarded a
contract. In past rounds of
[[Page 34351]]
competition, CMS has allowed a 60-day bidding window for suppliers to
prepare and submit their bids. Our regulation at Sec. 414.412
specifies the rules for submission of bids under the DMEPOS CBP. Each
bid submission is evaluated and contracts are awarded to qualified
suppliers in accordance with the requirements of section 1847(b)(2) of
the Act and Sec. 414.414, which specifies conditions for awarding
contacts. Under the Round 2 and Round 1 Recompete competitions, 92
percent of suppliers accepted contract offers at the SPAs set through
the competitions. In addition, CMS reviewed all contract suppliers
based on financial standards when evaluating their bids. This process
includes review of tax records, credit reports, and other financial
data, which leads to the calculation of a score, similar to processes
used by lenders when evaluating the viability of a company. All
contract suppliers met the financial standards established for the
program. Before awarding contracts, each bid is screened and evaluated
to ensure that it is bona fide so that CMS can verify that the supplier
can provide the product to the beneficiary for the bid amount, and
those that fail are excluded from the competition. Approximately 94
percent of bids screened as part of the Round 2 and Round 1 Recompete
competitions were determined to be bona fide.
Section 1847(b)(6)(D) of the Act requires that appropriate steps be
taken to ensure that small suppliers of items and services have an
opportunity to be considered for participation in the DMEPOS CBP. We
have established a number of provisions to ensure that small suppliers
are given an opportunity to participate in the DMEPOS CBP. For example,
under Sec. 414.414(g)(1)(i), we have established a 30 percent target
for small supplier participation; thereby ensuring efforts are made to
award at least 30 percent of contracts to small suppliers. Also, CMS
worked in coordination with the Small Business Administration and based
on advice from the PAOC to develop an appropriate definition of ``small
supplier'' for this program. Under Sec. 414.402, a small supplier is
one that generates gross revenues of $3.5 million or less in annual
receipts, including Medicare and non-Medicare revenue. Under Sec.
414.418, small suppliers may join together in ``networks'' in order to
submit bids that meet the various program requirements. A majority of
the bids used in establishing SPAs come from small suppliers with a
history of furnishing items in the CBAs.
B. Current Method for Submitting Bids and Selecting Winners
In the DMEPOS CBP, CMS awards contracts to suppliers for furnishing
multiple items and services needed in a given CBA that fall under a
product category (for example, respiratory equipment). The product
categories are mostly large and include multiple items used for
different purposes (for example, the respiratory equipment category
includes oxygen equipment and positive pressure airway devices and
multiple related accessories) based on past feedback from stakeholders
to promote easy access for beneficiaries and referral agents to receive
all items in a product category from one location, and to prevent
instances where a supplier wins a contract for one product category but
loses the competitions for several other product categories. Because
multiple bids for individual items are submitted when competing to
become a contract supplier for the product category of items and
services as a whole, it is necessary to calculate a composite bid for
each bidding supplier to determine the lowest bids for the category as
a whole. In accordance with Sec. 414.402, a composite bid means the
sum of a supplier's weighted bids for all items within a product
category for purposes of allowing a comparison across bidding
suppliers. Using a composite bid is a way to aggregate a supplier's
bids for individual items within a product category into a single bid
for the whole product category.
In order to compute a composite bid, a weight must be applied to
each item in the product category. The weight of an item is based on
the beneficiary utilization or demand of the individual item compared
to other items within that product category based on historic Medicare
claims. Item weights are used to reflect the relative market importance
of each item in the product category. Table 18 depicts the calculation
of the item weights for a supplier's bid. The expected volume for items
A, B, and C are 5, 3, and 2 units, respectively, for a total volume of
10 units. The item weight for item A is 0.5 (5/10), the weight for item
B is 0.3 (3/10), etc. The total item weight for the supplier's bid is
1.
Table 18--Item Weights
----------------------------------------------------------------------------------------------------------------
Item A B C Total
----------------------------------------------------------------------------------------------------------------
Units........................................... 5 3 2 10
Item Weight..................................... 0.5 0.3 0.2 1
----------------------------------------------------------------------------------------------------------------
The composite bid for a supplier equals the item weight multiplied
by the item bid summed across all items in the product category. For
example, supplier 1 bid $1.00 for item A, $4.00 for item B and $1.00
for item C. The composite bid for Supplier 1 = (0.5 * $1.00) + (0.3 *
$4.00) + (0.2 * $1.00) = 1.90. Table 19 shows the expected cost of the
bundle based on each supplier's bids. The expected costs are directly
proportional to the composite bids; the factor of proportionality is
equal to the total number of units (10) in the product category. The
composite bid is used to determine the expected costs for all of the
items in the product category based upon expected volume.
Table 19--Composite Bids by Supplier
----------------------------------------------------------------------------------------------------------------
Product
category bid
Item A B C Composite bid (cost of
bundle)
----------------------------------------------------------------------------------------------------------------
Units........................... 5 3 2
Item weight..................... 0.5 0.3 0.2
Supplier 1 bid.................. $1.00 $4.00 $1.00 $1.90 $19.00
Supplier 2 bid.................. 3.00 5.00 3.00 3.60 36.00
[[Page 34352]]
Supplier 3 bid.................. 3.00 4.00 3.00 3.30 33.00
Supplier 4 bid.................. 2.00 2.00 2.00 2.00 20.00
Supplier 5 bid.................. 2.00 4.00 2.00 2.60 26.00
Supplier 6 bid.................. 2.00 3.00 2.00 2.30 23.00
Supplier 7 bid.................. 3.00 3.00 2.00 2.80 28.00
Supplier 8 bid.................. 3.00 4.00 2.00 3.10 31.00
Supplier 9 bid.................. 2.00 3.00 3.00 2.50 25.00
Supplier 10 bid................. 3.00 4.00 1.00 2.90 29.00
Supplier 11 bid................. 3.00 2.00 3.00 2.70 27.00
----------------------------------------------------------------------------------------------------------------
After computing composite bids for each supplier, a pivotal bid is
established for each product category in each CBA. In accordance with
Sec. 414.402, pivotal bid means the lowest composite bid based on bids
submitted by suppliers for a product category that includes a
sufficient number of suppliers to meet beneficiary demand for items in
that category. As explained in the 2007 DMEPOS final rule (72 FR
18039), demand for items and services is projected using Medicare
claims data for allowed services during the previous two years, trended
forward to the contract period. Table 20 shows the pivotal bid is the
point where expected combined capacity of the bidders is sufficient to
meet expected demands of beneficiaries for items in a product category.
In Table 20, the projected demand is 1,800 units, therefore the
composite bid for supplier 7 represents the pivotal bid, since the
cumulative capacity of 1,845 would exceed the projected demand of
1,800. As a result of the determination of the pivotal bid, suppliers
1, 4, 6, 9, 5, 11 and 7 are selected as winning suppliers for the
product category in the CBA. However, suppliers 10, 8, 3, and 2 are not
selected as winning suppliers for the product category in the CBA and
are eliminated from the competition.
Table 20--Determining the Pivotal Bid for Product Category Point Where Beneficiary Demand (1,800) is met by
Supplier Capacity
----------------------------------------------------------------------------------------------------------------
Supplier Cumulative
Supplier No.\1\ Composite bid capacity capacity Result
----------------------------------------------------------------------------------------------------------------
1................................... $1.90 250 250 Winning bid.
4................................... 2.00 300 550 Winning bid.
6................................... 2.30 0 550 Winning bid.
9................................... 2.50 300 850 Winning bid.
5................................... 2.60 360 1,210 Winning bid.
11.................................. 2.70 275 1,485 Winning bid.
7................................... 2.80 360 1,845 Pivotal bid.
10.................................. 2.90 200 2,045 Losing bid.
8................................... 3.10 300 2,345 Losing bid.
3................................... 3.30 200 2,545 Losing bid.
2................................... 3.60 25 2,570 Losing bid.
----------------------------------------------------------------------------------------------------------------
\1\ By ascending composite bid.
C. Current Method for Establishing SPAs
For competitively bid items and services furnished in a CBA, the
SPAs replace the Medicare allowed amounts established using the lower
of the supplier's actual charge or the payment amount recognized under
sections 1834(a)(2) through (7), 1834(h), and 1842(s) of the Act. We
discussed various options for determining the SPA for individual items
under the DMEPOS CBP during the notice and comment rulemaking conducted
in 2006 and 2007 (71 FR 25653 and 72 FR 17992, respectively), including
using the minimum winning bid, using the highest winning bid, using the
median of winning bids, and using an average adjusted price methodology
similar to the methodology used in competitive bidding demonstrations
mandated by section 4319 of the Balanced Budget Act of 1997 (BBA) (Pub.
L. 105-33). A detailed discussion of the various options considered for
determining the SPA for individual items under the DMEPOS CBP can be
found in the 2007 DMEPOS final rule (72 FR 17992, 18044 through 18047).
Through rulemaking, we finalized using the median of bids submitted for
each item by winning bidders in each CBA as the methodology for
establishing the SPA for each item in each CBA.
Under the current methodology for establishing SPAs at Sec.
414.416, for individual items within each product category in each CBA,
the median of the winning bids for each item is used to establish the
SPA for that item in each CBA. The individual items are identified by
the appropriate HCPCS codes. In cases where there is an even number of
winning bids for an item, the SPA is equal to the average (mean) of the
two bid prices in the middle of the array. Table 21 illustrates this
method.
[[Page 34353]]
Table 21--Median of the Winning Bids Methodology
----------------------------------------------------------------------------------------------------------------
Item A B C Composite bid
----------------------------------------------------------------------------------------------------------------
Supplier 1 bid.................................. $1.00 $4.00 $1.00 $1.90
Supplier 4 bid.................................. 2.00 2.00 2.00 2.00
Supplier 6 bid.................................. 2.00 3.00 2.00 2.30
Supplier 9 bid.................................. 2.00 3.00 3.00 2.50
Supplier 5 bid.................................. 2.00 4.00 2.00 2.60
Supplier 11 bid................................. 3.00 2.00 3.00 2.70
Supplier 7 bid (pivotal bid).................... 3.00 3.00 2.00 2.80
Median/SPA...................................... 2.00 3.00 2.00 ..............
----------------------------------------------------------------------------------------------------------------
We stated in 2007 that we believed that setting the SPA based on
the median of the winning bids satisfies the statutory requirement that
SPAs are to be based on bids submitted and accepted. We believed that
this methodology results in a single payment for an item under a
competitive bidding program that is representative of all acceptable
bids, not just the highest or the lowest of the winning bids for that
item. The median is also not influenced by outliers at the extremes of
the data set. This methodology also has the advantage of being easily
understood by bidding suppliers.
We received several comments on determining the SPA as a part of
the rulemaking process for the 2007 DMEPOS final rule (72 FR 18046).
Most of the commenters disagreed with the median bid methodology and
supported the average adjusted price methodology. Numerous commenters
suggested that CMS use the average adjusted price methodology that was
used during the BBA demonstrations because suppliers were paid at least
as much as they bid in aggregate, and commenters believed that the
average adjusted price methodology would provide sufficient protections
to encourage small suppliers to bid. Several commenters indicated that
if contract suppliers with bids above the median amount cannot furnish
items and services at payment amounts set below their bid amounts,
demand for items and services might not be met and access to necessary
items and services would be impaired. The commenters raised concerns
that all bids would be equal in terms of establishing the median
amount, and bids from small suppliers that only furnish a small
percentage of the overall demand for items and services would have the
same weight as bids from suppliers that would be responsible for
furnishing the majority of the items and services. Other commenters
suggested that the use of the median bid favors large chain suppliers
that deliver a large volume of items and services.
The average adjusted price methodology for establishing the SPA for
an item was discussed in the 2007 DMEPOS final rule (72 FR 18045). This
methodology involved using the average of the winning bids adjusted up
to the point where the adjusted bids for each supplier in the winning
range equals the level of the pivotal bid. This type of methodology was
used during the competitive bidding demonstrations mandated by section
4319 of the BBA. The first step of the methodology is to calculate the
average of the winning bids per individual item. The second step is to
calculate the average of the composite bids for the winning suppliers
by taking the sum of the composite bids for all winning suppliers in
the applicable CBA and dividing by the number of winning suppliers. The
third step determines an adjustment factor by dividing the composite
bid for the pivotal bidder by the average composite bid, and using this
factor to increase every winner's overall bids for a product category
to the level of the pivotal bidder's composite bid. The fourth step
multiplies the average of the winning bids per item by the adjustment
factor to adjust all bids up to the point of the pivotal bid, so that
all winners would be paid for furnishing all items and services in the
product category (the composite payment) equal to the composite bid of
the pivotal bidder. This amount would become the SPA for the individual
item. This is the price that all contract suppliers within a CBA would
be paid for that product as illustrated in Table 22.
Table 22--Average Adjusted Price Methodology
----------------------------------------------------------------------------------------------------------------
Average Composite bid
Item A B C composite bid \1\
----------------------------------------------------------------------------------------------------------------
Item weight..................... 0.5 0.3 0.2
Supplier 1 bid.................. $1.00 $4.00 $1.00 .............. $1.90
Supplier 4 bid.................. 2.00 2.00 2.00 .............. 2.00
Supplier 6 bid.................. 2.00 3.00 2.00 .............. 2.30
Supplier 9 bid.................. 2.00 3.00 3.00 .............. 2.50
Supplier 5 bid.................. 2.00 4.00 2.00 .............. 2.60
Supplier 11 bid................. 3.00 2.00 3.00 .............. 2.70
Supplier 7 bid (pivotal bid).... 3.00 3.00 2.00 .............. 2.80
Average of winning bids......... 2.14 3.00 2.14 $2.40 ..............
Adjustment factor \2\........... 1.167 1.167 1.167 .............. ..............
Average adjusted price/SPA...... 2.50 3.50 2.50 .............. ..............
----------------------------------------------------------------------------------------------------------------
\1\ Sum of item bids multiplied by item weights.
\2\ The adjustment factor is equal to the pivotal bid ($2.80 in this example) divided by the average composite
bid ($2.40 in this example). The SPA is established by multiplying the average of the winning bids for each
item by the adjustment factor.
[[Page 34354]]
This methodology, similar to the one used under the BBA
demonstrations from October 1, 1999 through December 31, 2002, results
in payment to all winning suppliers at the pivotal bid (or highest
winning composite bid) level. Under the BBA demonstrations, the
adjustment factor varied by supplier and was based on the pivotal
composite bid divided by the individual, winning supplier's composite
bid, and the average of the prices was calculated after the bids were
adjusted rather than before they were adjusted. Both versions of the
average adjusted price methodology result in pricing at the pivotal bid
level. For example, in Table 22 the methodology used under the BBA
demonstrations would have resulted in SPAs of $2.46, $3.58, and $2.48
for items A, B, and C, respectively. However, when factoring in the
expected percentage of total services made up by each item in the
product category (item weight), both versions of the average adjusted
price methodology result in payment at the pivotal bid level:
Table 22: (0.5 * $2.50) + (0.3 * $3.50) + (0.2 * $2.50) = $2.80
BBA demonstrations: (0.5 * $2.46) + (0.3 * $3.58) + (0.2 * $2.48) =
$2.80
Using either version, the overall payment for the product category
equals or exceeds the individual composite bids of $1.90, $2.00, $2.30,
$2.50, $2.60, $2.70 and $2.80. We chose not to propose this approach
because we believed that this approach is not reflective of all of the
winning bids accepted. In addition, we stated that we were concerned
that this methodology may be confusing and overly complicated (72 FR
18046).
Two additional methodologies for determining the SPA for individual
items under the DMEPOS CBP include the minimum bid methodology ($1.00,
$2.00, and $1.00 in the example above) and the maximum bid methodology
($3.00, $4.00, and $3.00 in the example above). More detailed
explanations of these methods can be found in the 2007 DMEPOS final
rule (72 FR 17992, pages 18044 through 18047). We did not support
either methodology because they only reflect the bid of a single
supplier and may be an outlier in the overall bid for the item. A
methodology that uses a straight mean is most affected by outliers,
since all values in a sample are given the same weight when calculating
mean. A value that is far removed from the mean is going to likely skew
results.
D. Provisions of the Proposed Rule
We believe that two proposed reforms to the DMEPOS CBP would
simplify the program, eliminate the possibility for price inversions,
and ensure the long term sustainability of the program.
1. Lead Item Pricing for all Product Categories Under the DMEPOS CBP
In the 2016 ESRD PPS final rule (81 FR 77945), we established
alterative rules for submitting bids and determining SPAs for certain
groupings of similar items with different features under the DMEPOS
CBP. As discussed in the rule, price inversions result under the CBP
when different item weights are assigned to similar items with
different features within the product category. To prevent this from
occurring under future competitions, we established an alternative
``lead item'' bidding method for submitting bids and determining single
payment amounts for certain groupings of similar items (for example,
walkers) with different features (wheels, folding, etc.) under the
DMEPOS CBP. Under this alternative bidding method, one item in the
grouping of similar items would be the lead item for the grouping for
bidding purposes. The item in the grouping with the highest total
national allowed services (paid units of service) during a specified
base period would be considered the lead item of the grouping. CMS
established a method for calculating SPAs for items within each
grouping of similar items based on the SPAs for lead items within each
grouping of similar items (81 FR 42878). Under Sec. 414.416(b)(3), in
the case of competitions where bids are submitted for an item that is a
combination of codes for similar items within a product category as
identified under Sec. 414.412(d)(2), the single payment amount for
each code within the combination of codes is equal to the single
payment amount for the lead item or code with the highest total
nationwide allowed services multiplied by the ratio of the average of
the 2015 fee schedule amounts for all areas (that is, all states, the
District of Columbia (DC), Puerto Rico, and the U.S. Virgin Islands)
for the code to the average of the 2015 fee schedule amounts for all
areas for the lead item. Beginning in 2016, the fee schedule amounts
used to pay claims in non-CBAs were adjusted based on information from
the CBP. Thus, the 2015 fee schedule amounts were the last fee schedule
amounts that were not adjusted based on SPAs for low weight items (for
example, hospital beds without side rails) that in some cases were
higher than the SPAs for other similar items in the same product
category with more features (for example, hospital beds with side
rails). The relative difference in the cost of the items (for example,
hospital beds with side rails cost more than hospital beds without side
rails) is reflected in the unadjusted fee schedule amounts in that the
unadjusted fee schedule amounts for hospital beds with side rails are
higher than the fee schedule amounts for hospital beds without side
rails, and not in the adjusted fee schedule amounts, where the adjusted
fee schedule amounts for hospital beds with side rails are not higher
than the fee schedule amounts for hospital beds without side rails. For
this reason, we use the unadjusted fee schedule amounts for 2015 to
determine the relative difference in the cost of different items (for
example, hospital beds with side rails compared to hospital beds
without side rails).
Under the CBP, in all rounds since 2011, we found price inversions
for groupings of similar items within the following categories:
Standard power wheelchairs, walkers, hospital beds, enteral infusion
pumps, TENS devices, support surface mattresses and overlays and seat
lift mechanisms. We consider the price of an item inverted when a more
complicated item is cheaper than a simple version. For instance, when a
walker without wheels costs more than a walker with wheels. The
detailed method, examples, and responses to public comments regarding
lead item bidding were explained in the 2016 ESRD PPS final rule (81
FR77945 through 77949). We are now proposing to establish a similar
lead item pricing methodology for all items and all product categories
under the DMEPOS CBP. We propose that the methodology would now apply
to all items in the product category rather than groupings of items
within a product category. We also propose that the lead item would be
identified based on total national allowed charges rather than total
national allowed services. We believe that lead item pricing would
address all price inversions we have already identified as well as
potential future price inversions for other items. The lead item
pricing methodology proposed in this rule is therefore similar to, but
different than the lead item bidding methodology we finalized in
previous rulemaking. This would not be an alternative bidding method,
but would replace the current bidding method, where bids are submitted
for each item in the product category, for all items. Since the bid for
the lead item would be used to establish the SPAs for both the lead
item and all other items in the
[[Page 34355]]
product category, we are referring to this proposed policy as ``lead
item pricing'' rather than ``lead item bidding.'' We are proposing to
implement lead item pricing and change the methodology for establishing
SPAs under the CBP for a number of reasons.
We believe lead item pricing would greatly reduce the complexity of
the bidding process and the burden on suppliers since they would no
longer have to submit bids for numerous items in a product category.
For some product categories, there are hundreds of items, and many
suppliers submit bids for multiple product categories and in multiple
CBAs. The more bids a supplier has to submit, the more time it takes to
complete the bidding process and the greater the risk for keying
errors, which have disqualified bidders in the past, reducing the level
of competition and opportunity for savings under the program. Lead item
pricing would also eliminate the need for item weights and calculation
of composite bids based on item weights. This would greatly eliminate
the burden for suppliers since they would no longer have to submit bids
for each individual item in a product category.
Several issues related to this lead item pricing proposal warrant
discussion. First, lead item pricing would apply to all items in each
product category, including all codes for base equipment (for example,
power wheelchairs) and all codes for accessories for base equipment
(for example, wheelchair batteries). Bids for the lead item (for
example, one of the power wheelchair codes), would therefore be used to
establish the SPA for the code for the lead item, other codes for power
wheelchairs other than the lead item, and codes for accessories used
with the base equipment (in this example, various types of power
wheelchairs). Examples of how this pricing method would work are in
section V.D.2 of this proposed rule.
Second, it is likely that some of the larger, conglomerate product
categories established to promote ``one stop shopping'' for
beneficiaries and referral agents would need to be split into multiple
product categories so that lead item pricing is not implemented for
categories that include different types of base equipment. Such
categories include general home equipment (hospital beds, support
surfaces, commode chairs, patient lifts, and seat lifts), respiratory
equipment (oxygen and oxygen equipment, continuous positive airway
pressure devices, and respiratory assist devices), and standard
mobility equipment (walkers, standard manual wheelchairs, standard
power wheelchairs, and scooters). We believe that it would be overly
complex and confusing to establish prices for one type of equipment
(for example, power wheelchairs) based on bids submitted for another
type of equipment (for example, walkers). We believe it would be more
straightforward for suppliers to submit a lead item bid for one code
for one type of base equipment (for example, group 2, captains chair
power wheelchair, which is a lead item because it has the highest
allowed charges) that would be used to establish payment amounts for
all similar types of the base equipment that is, power wheelchairs (for
example, groups 1 and 2, captains chair and sling seat versions, and
equipment accommodating various patient weight capacities) and
accessories used with the various power wheelchairs (for example,
batteries, arm pads, and tires).
Third, as part of the proposal to move to lead item pricing, we are
proposing to establish a new definition under Sec. 414.402 for ``lead
item,'' and we are proposing to revise the current definitions for
``bid'' and ``composite bid'' under Sec. 414.402. We propose to revise
the definition of ``bid'' to include the words ``or items'' after the
word ``item''. The definition of ``bid'' would read as follows ``Bid
means an offer to furnish an item or items for a particular price and
time period that includes, where appropriate, any services that are
directly related to the furnishing of the item or items.'' We are
proposing this change because under lead item pricing, the bid for a
lead item includes the supplier's bid for furnishing all of the items
in the product category and not just the lead item.
We propose to revise the definition of ``composite bid''. The
definition would read as follows ``Composite bid means the bid
submitted by the supplier for the lead item in the product category.''
Currently, the supplier's bid amounts for multiple items in the
product category are weighted and summed to generate the supplier's
composite bid for that product category. Under lead item pricing, the
supplier's bid amount for the lead item is the composite bid. In
addition, the bids for the lead items would be used to determine the
SPAs for the rest of the items in the product category. We would
educate suppliers regarding how pricing for all of the items in the
product category would be established based on the bids submitted for
the lead item, and that they should consider their costs for furnishing
the various items in the product category when submitting their bid for
the lead item.
As indicated in section V.A of this proposed rule, section
1847(a)(1)(G) of the Act and our regulations require that bidding
suppliers obtain bid surety bonds when participating in future
competitions under the CBP. If the supplier is offered a contract for
any product category for a CBA, and its composite bid for such product
category and area is at or below the median composite bid rate for all
bidding suppliers included in the calculation of the SPAs for the
product category/CBA combination, the supplier must accept the contract
offered or the supplier's bid surety bond for the applicable CBA will
be forfeited. Because we are proposing a change to the definition of
composite bid (the composite bid would be defined as the supplier's bid
for the lead item in the product category), we note that the supplier's
bid for the lead item would also be treated as the ``composite bid''
for the purpose of implementing the statutory and regulatory bid surety
bond requirement. Under the lead item pricing method, suppliers would
forfeit their bid surety bond for a product category in a CBA if their
composite bid (their bid for the lead item) is at or below the median
composite bid rate for all bidding suppliers included in the
calculation of SPAs for the product category and CBA and they do not
accept a contract offer for the product category and CBA. In other
words, the median of the winning bids for the lead item in the product
category would be calculated and used to implement the bid surety bond
requirement at section 1847(a)(1)(H)(i) of the Act and Sec.
414.412(h).
We are proposing to add the definition for ``lead item'' under
Sec. 414.402. The definition of ``lead item'' would read as follows
``Lead item is the item in a product category with multiple items with
the highest total nationwide Medicare allowed charges of any item in
the product category prior to each competition. Total nationwide
Medicare allowed charges means the total sum of charges allowed for an
item furnished in all states, territories, and D.C. where Medicare
beneficiaries reside and can receive covered DMEPOS items and
services.''
Currently under Sec. 414.412(d)(2) the ``lead item'' in the
product category is described as ``the code with the highest total
nationwide allowed services for calendar year 2012,'' and ``total
nationwide allowed services'' is defined in Sec. 414.402 as meaning
the total number of services allowed for an item furnished in all
states, territories, and DC where Medicare beneficiaries reside and can
receive covered DMEPOS items and services. We are proposing to delete
[[Page 34356]]
the lead item bidding provision that currently appears in Sec.
414.412(d)(2) and replace it with the proposed lead item pricing
provision. We are proposing to change these descriptions and
definitions as explained by replacing this language in Sec.
414.412(d)(2) with a new definition of lead item in Sec. 414.402. We
believe that using allowed charges rather than allowed services is a
better way to identify the lead item in a product category for the
purpose of implementing lead item pricing because the item with the
highest allowed charges is the item that generates the most revenue for
the suppliers of the items in the product category. The item with the
most allowed services is not always the item that generates the most
revenue for the supplier. For example, there are far more allowed
services for NPWT dressings than NPWT pump rentals, but the revenue
generated by the pump rentals is more than double the revenue generated
by the dressings. Therefore, the item with the most allowed charges in
the product category (the NPWT pump rentals) generates more revenue for
the suppliers than the item with the most allowed services in the
product category (the NPWT dressings). We note that in most cases the
item with the most allowed charges would also be the item with the most
allowed services, but in cases where this is not true, we believe that
the lead item should be the one that generates the most revenue for
suppliers as opposed to the one that has the higher number of allowed
services.
Section 1847(b)(2)(A)(iii) of the Act prohibits the awarding of
contracts under the CBP unless the total amounts to be paid to contract
suppliers in a CBA are expected to be less than the total amounts that
would otherwise be paid. In order to implement this requirement for
assurance of savings under the CBP, we propose to revise Sec.
414.412(b)(2) to require that the supplier's bid for each lead item and
product category in a CBA cannot exceed the fee schedule amount that
would otherwise apply to the lead item without any adjustments based on
information from the CBP.
Finally, we propose to amend the conditions for awarding contracts
under the CBP in Sec. 414.414(e) related to evaluation of bids under
the CBP. Currently, this section indicates that CMS evaluates bids
submitted for items within a product category, and that expected
beneficiary demand in a CBA is calculated for items in the product
category. We are proposing to change this section to indicate that CMS
evaluates composite bids submitted for the lead item within a product
category, and that expected beneficiary demand in a CBA is calculated
for the lead item in the product category. We are proposing that under
the lead item pricing methodology, CMS would calculate expected
beneficiary demand and total supplier capacity based on the lead item
in the product category when evaluating bids. Currently, beneficiary
demand for items in a product category and supplier capacity for
furnishing items in the product category are calculated based on
historic utilization of the items making up at least 80 percent of the
total expenditures for the product category as a whole. The demand for
these items is trended forward to the contract period by the projected
growth in beneficiary population in the CBA and utilization of the
items in the product category. The pivotal bid is where total supplier
capacity for furnishing the items within a product category meets
projected beneficiary demand for the items. Projected demand for items
within a product category and supplier capacity for meeting the
projected demand for items within a product category are calculated by
adding the projected demand and supplier capacity for those items in
the product category that make up 80 percent of the total expenditures
for the product category. It is assumed that the suppliers with the
capacity to furnish the items making up 80 percent of the total
expenditures for the product category would also have the capacity to
furnish the remaining items in the product category as well. This has
proven to be true. Under lead item pricing, we are proposing that
projected demand and supplier capacity would only be calculated for the
lead item for the purpose of determining or establishing the pivotal
bid. In other words, the winning range of suppliers would be set based
on where the cumulative capacity of suppliers for furnishing the lead
item equals or exceeds the projected beneficiary demand for the lead
item. It is assumed that the suppliers with the capacity to furnish the
lead item in the product category would also have the capacity to
furnish the remaining items in the product category as well. We believe
this change would have a minimal impact on the number of contracts
awarded under the program, with the exception of CPAP devices and
accessories. For this category of items, the CPAP device would be the
lead item, but there are also several codes for accessories (masks,
tubing, etc.) where total allowed charges are close to the allowed
charge total for the CPAP device itself. Establishing projected demand
and supplier capacity based on the CPAP device alone could result in a
drop in the number of winning suppliers; however, we believe that
suppliers that have the capacity to meet projected beneficiary demand
for rental of the CPAP device would also have the capacity to furnish
the accessories used with the devices they are furnishing. In addition,
the 20 percent cap on supplier capacity would still be in effect, which
limits the capacity of suppliers, including large, national chain
suppliers, to 20 percent of projected demand, even if these suppliers
could meet far more than 20 percent of beneficiary demand for CPAP
devices and accessories.
In summary, we propose to amend Sec. Sec. 414.402, 414.412, and
Sec. 414.414 to change the definitions, the methodology for the
calculation of SPAs, and the evaluation of bids under the CBP to
reflect and establish the lead item pricing methodology.
2. Calculation of Single Payment Amounts (SPAs) Using Maximum Winning
Bids for Lead Items
We propose to revise Sec. 414.416 to change the methodology for
calculating SPAs under the CBP. The SPA for the lead item in each
product category and CBA would be based on the maximum or highest
amount bid for the item by suppliers in the winning range as
illustrated in Table 23. The SPAs for all other items in the product
category would be based on a percentage of the maximum winning bid for
the lead item. Specifically, the SPA for a non-lead item in the product
category would be equal to the SPA for the lead item multiplied by the
ratio of the average of the 2015 fee schedule amounts for all areas
(that is, all states, DC, Puerto Rico, and the U.S. Virgin Islands) for
the item to the average of the 2015 fee schedule amounts for all areas
for the lead item. Thus, the SPAs for a non-lead item would be based on
the relative difference in the fee schedule amounts for the lead and
non-lead item before the fee schedule amounts were adjusted based on
information from the CBP. For example, if the average 2015 fee schedule
amount for a non-lead item such as a wheelchair battery is $107.25, and
the average 2015 fee schedule amount for the lead item (Group 2,
captains chair power wheelchair) is $578.51, the ratio for these two
items would be computed by dividing $107.25 by $578.51 to get 0.18539.
Multiplying $578.51 by 0.18539 then generates the amount of $107.25.
Under the lead item pricing methodology, if the maximum winning bid for
the lead item in this example (Group 2, captains chair power
wheelchair) is used to compute an SPA
[[Page 34357]]
of $433.88 for this lead item, then the SPA for the non-lead item in
this example (wheelchair battery) would be computed by multiplying
$433.88 by 0.18539 to generate an SPA of $80.44 for the non-lead item
(wheelchair battery).
We believe that establishing the SPA for the lead item based on the
maximum winning bid rather than the median of winning bids could also
further simplify the bidding process and better ensure the long term
sustainability of the CBP. The maximum winning bid is the bid for the
lead item submitted by the supplier with the pivotal bid, defined in
Sec. 414.402 as the lowest composite bid based on bids submitted by
suppliers for a product category that includes a sufficient number of
suppliers to meet beneficiary demand for the items in that product
category. Under the proposed revised definition of composite bid, each
supplier's bid for the lead item would be their composite bid. In no
case would a supplier in the winning range be paid an amount for the
lead item in a product category that is less than its bid amount for
the lead item, or its composite bid, for the product category as a
whole. We believe that this is the best way to ensure that the supplier
can furnish the quantity of items and services it indicates it can
furnish with its bid. As an alternative to using median bids to
establish SPAs, we are proposing to use the maximum winning bid for the
lead item in a product category to establish the SPAs for the rest of
the items in the product category in order to ensure long term
sustainability of the DMEPOS CBP. We believe that lead item pricing
based on the maximum winning bid for the lead item is the best way to
ensure that the supplier can furnish the quantity of items and services
it indicates it can furnish with its bid because all suppliers in the
winning range would be paid at least what they bid for the lead item or
more. Currently, suppliers are paid based on the median of the winning
bids for each item, which results in many suppliers being paid less
than the amount they bid for an item, which could potentially lead to
beneficiary access problems for these items if the SPA based on the
median of the winning bids is not sufficient to cover the supplier's
costs for furnishing the quantity of items they indicated that they
could furnish with their bid. Currently under the CBP, certain
suppliers can be offered contracts after the initial contract awards
are made if necessary to ensure access to items and services. These
suppliers are suppliers that had composite bids above the pivotal bid,
so their bids are even further removed from the median bid levels than
the suppliers initially awarded contracts. As median bid levels
continue to decline over time, we believe that it is possible that many
of the suppliers with bids above the median would not be willing or
able to accept contracts for items and services with SPAs that were set
using the median of winning bids. We believe this could potentially
jeopardize the program. If there are not enough suppliers willing to
accept contract offers and meet beneficiary demand, then this would
result in no contracts or payments at SPA levels set too low to ensure
access. We believe this possible scenario could be avoided by changing
the way that the SPAs are calculated, and using the proposed maximum
winning bid for the lead item in a product category to establish the
SPAs for all items in the product category, rather than using the
median of winning bids to establish the SPA for each item in a product
category. Also, by applying lead item pricing to all items, it would
eliminate price inversions associated with suppliers bidding high for
low weight items, since items weights and bids for low weight items
would no longer be used to establish SPAs for items under the CBP.
Bids from small suppliers that are only awarded contracts in order
to help meet the small supplier target would not be used to determine
the maximum winning bid because these contracts are awarded after the
SPAs are established. Under Sec. 414.414(g)(1)(i), we established a 30
percent target for small supplier participation in the CBP; thereby
ensuring efforts are made to award at least 30 percent of contracts to
small suppliers. If less than 30 percent of the suppliers in the
winning range (suppliers at or below the pivotal bid) are not small
suppliers, additional contracts are offered to small suppliers who bid
above the pivotal bid in order to attempt to meet this 30 percent small
supplier target. However, the bids above the pivotal bid have not been
used to calculate the SPA in past competitions, and will not be used to
calculate the SPA going forward. If small suppliers who are offered
contracts do not accept them, we may not meet the small supplier
target, but this refusal of the contract offers would not result in an
access problem. The small supplier target is just a target for
enhancing participation of small suppliers in the CBP and is not a
threshold that must be met in order to meet demand for items and
services. Currently, small suppliers not in the winning range who are
only offered contracts in an attempt to meet this target must accept
payment at the median of the winning bids for each item, which in most
cases are amounts that are below what they bid for the item. While SPAs
based on the proposed maximum winning bids would still be below what
these suppliers bid, they are generally going to be closer to the
amounts they bid than the SPAs based on the median of the winning bids.
Likewise, bids from other suppliers awarded contracts after the
SPAs are established are not currently used to determine the SPAs and
would not be used to determine the maximum winning bid. Currently, in
very limited cases, suppliers are offered and awarded contracts after
the SPAs are established and contract offers are made because of errors
that were made in the bid evaluation process. Also, additional
contracts can be offered at any point during the contract period if
necessary to ensure beneficiary access to items and services. The SPAs
are not recalculated in these situations because it would be very
disruptive and logistically challenging to change the SPAs and repeat
the contracting process each time an additional contract is offered and
accepted. The process for completing all of the steps necessary for CMS
to implement a competition under the CBP from the time the competition
is announced and suppliers are registered to bid in DBids (the online
bidding system) to the time the contract period begins already takes
approximately 2 years.
Under the current methodology for establishing SPAs, for individual
items within each product category in each CBA, the median of the
winning bids for each item is used to establish the SPA for that item
in each CBA, as illustrated in Table 21. The proposed methodology of
using the maximum winning bids to establish SPAs is illustrated in
Table 23.
Table 23--Proposed Maximum Winning Bids Methodology
------------------------------------------------------------------------
Bid amounts
Supplier bids for the lead
item
------------------------------------------------------------------------
Supplier 1 bid.......................................... $1.00
Supplier 4 bid.......................................... 2.00
Supplier 6 bid.......................................... 2.00
Supplier 9 bid.......................................... 2.00
Supplier 5 bid.......................................... 2.00
Supplier 11 bid......................................... 3.00
Supplier 7 bid (pivotal bid)............................ 3.00
Maximum bid/SPA......................................... 3.00
------------------------------------------------------------------------
As shown in this Table 23, the maximum winning bid, the pivotal
bid, and the SPA are all equal.
[[Page 34358]]
We stated in the 2007 DMEPOS final rule that we believed that
setting the SPA based on the maximum of the winning bids is not
representative of all bids submitted. However, we now believe that
using the maximum winning bid amount for the lead item to establish the
SPAs and paying most contract suppliers more than they bid helps to
ensure access and long term sustainability of the CBP. This methodology
has the advantage of being easily understood by bidding suppliers.
Using the maximum winning bid for the lead item to establish SPAs
addresses criticism from stakeholders that the use of median bids to
establish SPAs results in CMS paying approximately half of the winning
suppliers below what they bid for the item. Using the maximum winning
bid is also strongly supported by the supplier community, as expressed
in comments described in the preamble to the 2007 DMEPOS final rule (72
FR 18046). Under the CBP, suppliers have consistently accepted contract
offers 92 percent of the time, even though the median bid levels have
trended lower with each successive round of competitions. However, if
bid levels continue to trend downward, we believe this could ultimately
result in many suppliers rejecting contract offers, to the point where
there may not be enough suppliers accepting contracts to meet demand
for items and services. Table 24 shows the average SPAs for seven high
volume items that have been included in all rounds of bidding and how
they have changed with each successive recompete of the contracts.
Table 24--Change in Average SPAs Over Rounds of Bidding
----------------------------------------------------------------------------------------------------------------
Round Year SPA Year SPA Change %
----------------------------------------------------------------------------------------------------------------
E1390--Oxygen Concentrator/Oxygen and Oxygen Equipment
----------------------------------------------------------------------------------------------------------------
1............................... 2011 $116.16 2014 $95.74 -18
1............................... 2014 95.74 2017 77.97 -19
2............................... 2013 93.07 2016 76.84 -17
----------------------------------------------------------------------------------------------------------------
E0601--CPAP
----------------------------------------------------------------------------------------------------------------
1............................... 2011 $582.31 2014 $518.58 -11
1............................... 2014 518.58 2017 426.76 -18
2............................... 2013 466.02 2016 397.60 -15
----------------------------------------------------------------------------------------------------------------
K0823--Group 2 Standard Power Wheelchair
----------------------------------------------------------------------------------------------------------------
1............................... 2011 $2,554.22 2014 $2,189.28 -14
1............................... 2014 2,189.28 2017 1,770.17 -19
2............................... 2013 1,889.48 2016 1,785.41 -6
----------------------------------------------------------------------------------------------------------------
B4035--Daily Supplies for Enteral Nutrition by Pump
----------------------------------------------------------------------------------------------------------------
1............................... 2011 $7.50 2014 $5.79 -23
1............................... 2014 5.79 2017 5.22 -10
2............................... 2013 5.98 2016 5.25 -12
----------------------------------------------------------------------------------------------------------------
E0143--Folding Wheeled Walker
----------------------------------------------------------------------------------------------------------------
1............................... 2011 $66.13 2014 $58.79 -11
1............................... 2014 58.79 2017 47.89 -19
2............................... 2013 53.22 2016 45.93 -14
----------------------------------------------------------------------------------------------------------------
E0260--Semi-Electric Hospital Bed
----------------------------------------------------------------------------------------------------------------
1............................... 2011 $803.45 2014 $738.59 -8
1............................... 2014 738.59 2017 615.22 -17
2............................... 2013 703.14 2016 591.30 -16
----------------------------------------------------------------------------------------------------------------
E0277--Powered Mattress Support Surface
----------------------------------------------------------------------------------------------------------------
1............................... 2011 $3,197.50 2014 $2,855.09 -11
1............................... 2014 2,855.09 2017 2,257.05 -21
2............................... 2013 2,351.77 2016 1,748.70 -26
----------------------------------------------------------------------------------------------------------------
If the median bids continue on this downward trend, suppliers with
bids above the median bid may not be able to continue to furnish items
and services at the SPAs established based on the median of winning
bids, and this could cause problems with securing enough contract
suppliers to meet demand and could cause non-viable programs in certain
areas for certain product categories. We believe establishing SPAs
based on the maximum winning bid for the lead item would help prevent
such a scenario from unfolding and would enhance the long term
sustainability of the DMEPOS CBP. We believe current tools used to
address potential access or demand issues in CBAs, such as awarding
additional contracts, may become insufficient if suppliers in the upper
half of the winning range (those that bid at or below the pivotal bid,
but above the median) stop accepting contract offers because the SPAs
over time have decreased to the point where they are unacceptable to
these suppliers.
We believe that the maximum winning bid methodology would enable
long term sustainability of the CBP but has some risks. This
methodology could skew the data set of bids if there is an outlier. For
example, in Table 23, if one
[[Page 34359]]
supplier bids $20 and the majority of suppliers bid between $1 and $3,
this would cause the entire item price to be inaccurately skewed in one
direction and would increase the cost of the item significantly.
Although there are some hindrances in replacing the median bid amount
methodology with the maximum winning bid methodology for determining
the SPA, such as the risk of skewed bids and the risk of paying
suppliers more than necessary to meet beneficiary demand, we believe
that the pros of reducing burden and enhancing access to items and
services and sustainability of the competitive bidding program outweigh
these cons. We solicit comments on ways to minimize these risks.
With regard to the fiscal impact of the proposal to use lead item
pricing and maximum winning bids to establish SPAs, we believe that use
of maximum winning bids to establish SPAs for lead items would increase
payment amounts and expenditures for these lead items, but would also
decrease payment amounts and expenditures for many of the non-lead
items, which should offset the cost of the payments for the lead items.
For example, the monthly rental SPA for the NPWT pump (E2402) for the
Virginia Beach, Virginia CBA is $654.89 (60 percent less than the fee
schedule amount of $1,642.09) and the purchase SPA for the NPWT
dressing (A6550) is $25.39 (only 3 percent less than the fee schedule
amount of $26.25). In 2017, approximately $356,257 was spent on the
pump in this CBA while approximately $154,752 was spent on the
dressings. Under lead item pricing, code E2402 would be the lead item,
and the maximum winning bid for this item under the Round 2 Recompete
(2016) was $839.00 per month (49 percent less than the fee schedule
amount of $1,642.09). Had this amount been paid in 2017 in the Virginia
Beach CBA, it would have increased expenditures for NPWT pump (E2402)
by approximately $100,159 from $356,257 to approximately $456,416.
However, using lead item pricing, the price for the dressing would have
decreased from $25.39 to $13.41 (49 percent less than the fee schedule
amount of $26.25), which would have decreased expenditures for code
A6550 by approximately $73,018 from $154,752 to approximately $81,734.
The net increase in expenditures in this example would have been
approximately $27,141 ($100,159-$73,018).
In summary, we propose to amend the SPA determination methodology
in Sec. 414.416 to change the methodology from one that uses the
median of winning bids for each item to establish the SPAs for each
item to one that uses the maximum winning bid for the lead item to set
the SPA for the lead item and the rest of the items within the product
category (``non-lead items''). The SPAs for each non-lead item would be
based on the relative difference in the fee schedule amounts for the
non-lead item and the lead item in 2015, before the fee schedule
amounts were adjusted based on information from the CBP.
Finally, we are interested in obtaining feedback from the public on
whether or not certain large CBAs should be split into smaller size
CBAs to create more manageable service areas for suppliers, as has been
done for the New York, Los Angeles, and Chicago CBAs. We are soliciting
feedback that we can consider in potentially adjusting the size and
boundaries of CBAs for future competitions. There are currently nine
CBAs with more than 7,000 square miles, and three of these CBAs are
areas with more than 9,000 square miles. The largest CBA is the
Phoenix-Mesa-Scottsdale, Arizona CBA with approximately 12,000 square
miles. This CBA is comprised of the two counties, Maricopa
(approximately 8,000 square miles) in the northwest and Pinal
(approximately 4,000 square miles) in the southeast. One option for
reducing the size of this CBA would be to split the CBA in two based on
the county borders and then remove some of the large low population
density zip code areas from the southwestern portion of the new
Maricopa County CBA to reduce the size of this CBA. Interstate highway
10 runs west to east and then south through the northern part of the
current CBA (primarily Maricopa County), while interstate highway 8
runs west to east through the southern part of the current CBA
(primarily Pinal County).
The second largest CBA is the Boise City, Idaho CBA, comprised of
five counties, approximately 11,800 square miles. Three zip code areas
(83604, 83624, and 83650) south of the Snake River and interstate
highway 84 in Owyhee County make up almost 65 percent of the area for
the CBA (approximately 7,700 square miles), but only 2 percent of the
population. Removing these three zip codes from the CBA would reduce
the size of the CBA to a little over 4,000 square miles. The average
size of the 130 CBAs is approximately 2,900 square miles. The third
largest CBA is the Dallas-Fort Worth-Arlington, Texas CBA with
approximately 9,100 square miles. The Dallas-Fort Worth-Arlington,
Texas MSA and is made up of the two metropolitan divisions of Dallas-
Plano-Irving (approximately 5,000 square miles over eight counties) and
Fort Worth-Arlington (approximately 4,000 square miles over seven
counties). This CBA could potentially be divided into two new CBAs
based on the metropolitan divisions. The other six CBAs with more than
7,000 square miles are Riverside-San Bernardino-Ontario, California
(approximately 8,900 square miles), Houston-The Woodlands-Sugar Land,
Texas (approximately 8,800 square miles), Bakersfield, California
(approximately 8,100 square miles), Salt Lake City, Utah (approximately
7,500 square miles), San Antonio-New Braunfels, Texas (approximately
7,300 square miles), and Atlanta-Sandy Springs-Roswell, Georgia
(approximately 7,300 square miles).
We are soliciting feedback on whether certain large CBAs should be
subdivided to make the areas more manageable to serve. One result of
subdividing the CBAs and creating more CBAs is that suppliers who wish
to bid for furnishing items and services in all of the areas that
formerly would have been one area would have to incur the cost and
effort of obtaining multiple bid surety bonds for the new areas rather
than one bid surety bond.
VI. Adjustments to DMEPOS Fee Schedule Amounts Based on Information
From the DMEPOS CBP
A. Background
Section 16008 of the 21st Century Cures Act (the Cures Act) (Pub.
L. 114-255) was enacted on December 13, 2016, and amended section
1834(a)(1)(G) of the Act to require in the case of items and services
furnished in non-CBAs on or after January 1, 2019, that in making any
adjustments to the fee schedule amounts in accordance with sections
1834(a)(1)(F)(ii) and (iii), 1834(a)(1)(H)(ii), or 1842(s)(3)(B) of the
Act, the Secretary shall: (1) Solicit and take into account stakeholder
input; and (2) take into account the highest bid by a winning supplier
in a CBA and a comparison of each of the following factors with respect
to non-CBAs and CBAs:
The average travel distance and cost associated with
furnishing items and services in the area.
The average volume of items and services furnished by
suppliers in the area.
The number of suppliers in the area.
1. Stakeholder Input Gathered in Accordance With Section 16008 of the
Cures Act
Section 16008 of the Cures Act mandates that we solicit and take
into
[[Page 34360]]
account stakeholder input in making adjustments to fee schedule amounts
for items furnished on or after January 1, 2019, based on information
from the CBP. In order to solicit stakeholder input, we announced that
we would be hosting a Medicare Learning Network (MLN)
ConnectsTM National Provider Call (MLN Connects Call), which
are educational conference calls conducted for the Medicare provider
and supplier community that educate and inform participants about new
policies and/or changes to the Medicare program. We announced this call
through multiple CMS listservs throughout March 2017, in order to get
the word out as quickly and directly as possible to our stakeholders.
On March 23, 2017, CMS hosted a national provider call to solicit
stakeholder input regarding adjustments to fee schedule amounts using
information from the DMEPOS CBP. The national provider call was
announced on March 3, 2017, and we requested written comments by April
6, 2017.
We received 125 written comments from stakeholders. More than 330
participants called into our national provider call, with 23
participants providing oral comments during the call. In general, the
commenters were mostly suppliers, but also included manufacturers,
trade organizations, and healthcare providers such as physical and
occupational therapists. These stakeholders expressed concerns that the
level of the adjusted payment amounts constrains suppliers from
furnishing items and services to rural areas. Stakeholders requested an
increase to the adjusted payment amounts for these areas. The written
comments generally echoed the oral comments from the call held on March
23, 2017, whereby stakeholders claimed that the adjusted fees are not
sufficient to cover the costs of furnishing items and services in non-
CBAs and that this is having an impact on access to items and services
in these areas.
The oral and written comments are organized into the following
categories:
Inadequacy of Adjusted Fee Schedule Amounts: Commenters claim the
adjusted fee schedule amounts do not cover the cost of furnishing the
items and are not sustainable. Many commenters opposed the current
adjusted payment amounts as insufficient to sustain the current cost of
doing business. Some commenters stated that current reimbursement
levels are below the cost of doing business. Many commenters stated
they were billing non-assigned for items, or were considering billing
non-assigned in the future.
Travel Distance: Commenters claim the average travel distance and
cost for suppliers serving rural areas are greater than the average
travel distance and cost for suppliers serving CBAs. Many commenters
described farther travel distances in rural areas than in non-rural
areas. (For the purpose of implementing the fee schedule adjustment
methodologies at Sec. 414.210(g), the term ``rural area'' is defined
at Sec. 414.202 and essentially includes any areas outside an MSA or
excluded from a CBA).
Volume of Services: Many commenters asserted that the average
volume of services furnished by suppliers, when serving non-CBAs, are
lower than the average volume of services furnished by suppliers, when
serving CBAs. Many commenters stated that they do not get the same
increase in volume that suppliers who obtain competitive bidding
contracts get, which does not allow them to have economies of scale and
obtain products at lower costs.
Beneficiary Access: Many commenters stated that the adjusted fees
have reduced the number of suppliers in the area, and that this has
caused or will cause beneficiary access issues. Some commenters claimed
that they were the only supplier in the area.
Adverse Beneficiary Health Outcomes: Commenters stated that
beneficiaries are going without items and this is causing adverse
health outcomes. Commenters stated that hospital readmissions and
lengths of stay, falls, and fractures are increasing as a result of the
fee schedule reductions.
Delivery Expenses: A few commenters provided an estimate of how
much their delivery expenses cost, their estimated service radius, and
the average distance traveled. Several commenters stated that they have
reduced the size of their service area due to the level of
reimbursement that they are receiving.
Costs in Rural Areas: Many commenters stated rural areas have
unique costs, costs that are higher than non-rural areas. Similar to
comments received on our CY 2015 ESRD PPS proposed rule (79 FR 40275
through 40315) and discussed in the CY 2015 ESRD PPS final rule (79 FR
66223 through 66265), some commenters stated that a 10 percent payment
increase in rural areas is not enough to cover costs in rural areas.
One commenter stated that non-contiguous areas, such as Alaska and
Hawaii, face unique and greater costs due to higher shipping costs, a
smaller amount of suppliers, and more logistical challenges related to
delivery. Some commenters stated specific costs, as well as data
sources, that CMS should take into account when adjusting fees in non-
CBAs. These included the following: Geographic wage index factors, gas,
taxes, employee wages and benefits, wear and tear of vehicle, average
per capita income, training, delivery, set up, historical Medicare home
placement volume, proximity to nearby CBAs, employing a respiratory
therapist, electricity charges, freight charges, 24/7 service,
documentation requirements, average per patient cost, licensing
accreditation, surety bonds, audits, population density, miles and time
between points of service, regulatory costs, vehicle insurance, and
liability insurance.
Two commenters pointed to the Ambulance Fee Schedule and one
commenter pointed to the Bureau of Labor Statistic Consumer Expenditure
Survey as evidence that health care costs in rural areas are higher
than in urban areas. Another commenter mentioned the Internal Revenue
Service Mileage Rate, the minimum wage, AAA Gallon of Gasoline prices,
and the price of a loaf of white bread, to highlight how the prices of
such items have increased over the years, while reimbursement for DME
has not.
Using the Highest Winning Bids for the Adjusted Fee Schedule
Methodology: Five commenters suggested that the adjusted fee schedule
amounts be based on maximum winning bids in CBAs rather than the median
of winning bids in CBAs. One commenter suggested that the maximum
winning bids should be the starting point for the adjustments and that
additional payment should be added on to these amounts to pay for the
higher costs of furnishing items and services in non-CBAs.
2. Highest Winning Bids in CBAs Analysis
Section 16008 of the Cures Act mandates that we take into account
the highest amount bid by a winning supplier in a CBA in making
adjustments to fee schedule amounts for items furnished on or after
January 1, 2019, based on information from the CBP. We considered the
highest amounts bid by a winning supplier for a specific item (maximum
bid) in the various CBAs in Round 1 2017 and Round 2 Recompete to see
if maximum bids varied in different types of areas (that is, low volume
versus high volume areas, large versus small delivery service areas,
areas with few suppliers versus many suppliers). We analyzed maximum
bids for the lead items in each product category (those with the
[[Page 34361]]
highest allowed charges) and for other lower volume items. For lower
volume items with low item weights, suppliers had less of an incentive
to bid low on these items and therefore the maximum bids for many of
these items are not significantly below the unadjusted fee schedule
amounts.
For the lead items, we focused primarily on items that clearly are
delivered locally such as large bulky hospital beds and oxygen
equipment (concentrators and tanks) since variations in maximum bid
amounts from CBA to CBA due to differences in travel distances and
costs would be most noticeable for these items. There are 130 CBAs in
total in Round 1 2017 and Round 2 Recompete varying greatly in size,
volume, and number of suppliers. What we found is that there is no
pattern indicating that maximum bids are higher for larger areas with
lower volume than they are for smaller areas with higher volume.
Table 25 lists the 130 maximum bids for code E0260 (semi-electric
hospital bed). We ranked the CBAs/bids from the largest maximum bid for
E0260 to the lowest maximum bid for E0260. The average volume per
supplier for each item is also included and ranked from 1 (lowest
average volume per supplier) to 130 (highest average volume per
supplier). We looked to see if lower average volumes (for example,
rankings 1, 2, 3, etc.) corresponded with higher maximum bid amounts.
We also looked to see if larger areas (for example, rankings 1, 2, 3,
etc.) corresponded with higher maximum bid amounts.
Table 25--Maximum Bid Amounts in Round 1 2017 and Round 2 Recompete for Code E0260
[Semi-Electric Hospital Bed]
--------------------------------------------------------------------------------------------------------------------------------------------------------
Maximum Average E0260 Volume rank
Area name Size in Size rank winning bid Max E0260 bid services per (low to high)
square miles E0260 rank supplier \1\ E0260
--------------------------------------------------------------------------------------------------------------------------------------------------------
Salt Lake City UT....................................... 7,473 7 $1,343.79 1 37 23
Ocala FL................................................ 1,585 88 1,325.00 2 33 17
Albuquerque NM.......................................... 6,287 10 1,303.00 3 35 19
Charlotte-Concord-Gastonia NC........................... 3,788 37 1,276.61 4 75 68
Kansas City MO.......................................... 4,572 25 1,207.50 5 51 36
Seattle-Tacoma-Bellevue WA.............................. 5,872 14 1,199.00 6 34 18
Wichita KS.............................................. 4,149 29 1,100.00 7 61 53
Knoxville TN............................................ 3,501 39 1,100.00 7 49 33
Honolulu HI............................................. 601 124 1,075.00 9 46 30
Portland-Hillsboro-Beaverton OR......................... 4,399 26 1,000.00 10 61 52
McAllen-Edinburg-Mission TX............................. 1,571 90 950.00 11 127 107
Colorado Springs CO..................................... 2,684 52 941.00 12 22 3
Nashville-Davidson-Murfreesboro-Franklin TN............. 6,036 12 940.00 13 68 60
Phoenix-Mesa-Scottsdale AZ.............................. 12,036 1 924.82 14 79 73
Riverside-San Bernardino-Ontario CA..................... 8,900 4 920.00 15 53 37
Bridgeport-Stamford-Norwalk CT.......................... 625 122 897.23 16 84 77
Orlando-Kissimmee-Sanford FL............................ 3,478 40 873.47 17 67 57
Tampa-St. Petersburg-Clearwater FL...................... 2,513 55 850.00 18 85 78
Boise City ID........................................... 11,766 2 850.00 18 31 14
Hartford-West Hartford-East Hartford CT................. 1,515 94 843.92 20 138 110
Los Angeles County CA................................... 2,232 65 840.60 21 109 96
New Haven-Milford CT.................................... 605 123 829.62 22 157 117
Boston-Cambridge-Quincy MA.............................. 2,424 59 828.19 23 166 119
Kansas City-Overland Park-Ottawa KS..................... 2,829 48 819.00 24 36 20
Denver-Aurora-Lakewood CO............................... 3,906 34 818.11 25 24 6
Chicago-Naperville-Arlington Heights IL................. 1,273 103 818.10 26 328 130
Wilmington DE........................................... 426 127 817.41 27 156 116
Fresno CA............................................... 5,958 13 816.78 28 30 12
Worcester MA............................................ 1,511 95 814.00 29 57 46
Jeffersonville-New Albany IN............................ 1,709 82 811.56 30 95 87
Scranton-Wilkes-Barre-Hazleton PA....................... 1,747 81 807.35 31 142 112
Greensboro-High Point NC................................ 1,994 73 805.31 32 73 65
Indianapolis-Carmel-Anderson IN......................... 3,994 33 800.00 33 120 101
Minneapolis-St. Paul-Bloomington MN..................... 4,731 23 800.00 33 94 86
El Paso TX.............................................. 1,013 112 800.00 33 74 66
Austin-Round Rock TX.................................... 4,220 27 800.00 33 58 47
Beaumont-Port Arthur TX................................. 3,034 46 800.00 33 37 24
Lakeland-Winter Haven FL................................ 1,798 80 798.88 38 71 63
Deltona-Daytona Beach-Ormond Beach FL................... 1,586 87 798.88 38 45 29
Silver Spring-Rockville-Bethesda MD..................... 1,152 105 789.00 40 104 93
Augusta-Richmond County GA.............................. 1,909 76 787.00 41 101 90
Atlanta-Sandy Springs-Roswell GA........................ 7,275 9 787.00 41 92 84
Columbia SC............................................. 3,250 43 787.00 41 74 67
Greenville-Anderson-Mauldin SC.......................... 2,711 51 787.00 41 69 61
Memphis TN.............................................. 1,926 74 785.00 45 119 100
Omaha NE................................................ 2,265 63 780.65 46 28 8
Council Bluffs IA....................................... 2,085 70 780.65 46 14 1
Chester Lancaster-York Counties SC...................... 1,810 79 780.00 48 30 10
Oklahoma City OK........................................ 5,512 15 778.68 49 59 49
Birmingham-Hoover AL.................................... 5,280 17 776.79 50 86 79
[[Page 34362]]
Chattanooga TN.......................................... 1,306 99 776.27 51 45 27
Washington DC........................................... 61 130 765.00 52 110 97
Miami-Fort Lauderdale-West Palm Beach FL................ 5,077 20 760.20 53 159 118
Jacksonville FL......................................... 3,201 45 752.90 54 115 99
Jackson MS.............................................. 4,649 24 752.90 55 82 74
Baton Rouge LA.......................................... 4,027 32 752.90 55 61 51
South Haven-Olive Branch MS............................. 2,448 57 752.90 55 55 40
Cape Coral-Fort Myers FL................................ 785 118 752.90 55 37 22
East St. Louis IL....................................... 3,845 36 750.00 59 59 48
Catoosa Dade-Walker Counties GA......................... 783 119 750.00 59 24 5
Pittsburgh PA........................................... 5,282 16 749.00 61 121 103
Raleigh NC.............................................. 2,118 68 748.00 62 70 62
Charleston-North Charleston SC.......................... 2,588 54 748.00 62 60 50
Aiken-Edgefield Counties SC............................. 1,571 90 748.00 62 56 43
Syracuse NY............................................. 2,385 61 742.50 65 50 34
St. Louis MO............................................ 5,267 18 739.22 66 57 45
Nassau Kings Queens-Richmond Counties NY................ 522 126 739.09 67 253 126
Palm Bay-Melbourne-Titusville FL........................ 1,016 111 739.09 67 67 56
Rockingham-Strafford Counties NH........................ 1,064 107 738.98 67 53 38
Milwaukee-Waukesha-West Allis WI........................ 1,455 96 733.74 70 84 76
Las Vegas-Henderson-Paradise NV......................... 1,578 89 733.01 71 47 31
Providence RI........................................... 1,034 109 728.84 72 63 55
Huntington WV........................................... 1,570 92 728.75 73 54 39
Dearborn Franklin Ohio-Union Counties IN................ 937 113 728.70 74 31 15
Mercer County PA........................................ 673 120 725.00 75 33 16
Aurora-Elgin-Joliet IL.................................. 2,727 50 720.00 76 120 102
Gary IN................................................. 1,878 77 719.99 77 124 105
Houston-The Woodlands-Sugar Land TX..................... 8,827 5 714.06 78 129 108
Tulsa OK................................................ 6,269 11 710.00 79 76 70
Visalia-Porterville CA.................................. 3,377 41 705.49 80 113 98
San Francisco-Oakland-Hayward CA........................ 2,471 56 705.49 80 92 85
San Jose-Sunnyvale-Santa Clara CA....................... 2,679 53 705.49 80 30 13
San Diego-Carlsbad CA................................... 4,207 28 705.49 80 30 11
Cleveland-Elyria OH..................................... 1,997 72 705.00 84 180 122
New Orleans-Metairie LA................................. 2,422 60 705.00 84 126 106
Pierce-St. Croix Counties WI............................ 1,296 101 703.14 86 19 2
Louisville-Jefferson County KY.......................... 2,440 58 700.00 87 139 111
Dayton OH............................................... 1,706 83 700.00 87 103 92
Cincinnati OH........................................... 2,216 66 700.00 87 101 89
Albany-Schenectady-Troy NY.............................. 2,812 49 700.00 87 95 88
Columbus OH............................................. 4,797 22 700.00 87 87 80
Youngstown-Warren-Boardman OH........................... 1,030 110 700.00 87 63 54
Dallas-Fort Worth-Arlington TX.......................... 9,091 3 697.17 93 142 113
Baltimore-Columbia-Towson MD............................ 2,948 47 695.52 94 190 123
Asheville NC............................................ 2,033 71 691.83 95 51 35
Bakersfield CA.......................................... 8,132 6 690.00 96 24 7
Calvert Charles-Prince Georges Counties MD.............. 1,154 104 688.85 97 101 91
Suffolk County NY....................................... 912 114 687.05 98 168 120
Port Chester-White Plains-Yonkers NY.................... 834 116 687.05 98 129 109
Akron OH................................................ 900 115 683.00 100 90 83
Philadelphia PA......................................... 2,156 67 682.71 101 308 129
Buffalo-Cheektowaga-Niagara Falls NY.................... 1,565 93 680.00 102 90 82
Rochester NY............................................ 3,266 42 680.00 102 77 72
Jersey City-Newark NJ................................... 1,926 74 675.00 104 258 128
Elizabeth-Lakewood-New Brunswick NJ..................... 2,239 64 675.00 104 258 127
Detroit-Warren-Dearborn MI.............................. 3,888 35 675.00 104 216 125
Flint MI................................................ 637 121 675.00 104 83 75
Grand Rapids-Wyoming MI................................. 4,053 31 675.00 104 76 69
Arlington-Alexandria-Reston VA.......................... 3,226 44 675.00 104 72 64
Richmond VA............................................. 4,897 21 675.00 104 49 32
Sacramento-Roseville-Arden-Arcade CA.................... 5,094 19 674.00 111 151 115
Orange County CA........................................ 791 117 674.00 111 68 59
Oxnard-Thousand Oaks-Ventura CA......................... 1,290 102 674.00 111 56 44
Stockton-Lodi CA........................................ 1,391 98 674.00 111 37 21
[[Page 34363]]
San Antonio-New Braunfels TX............................ 7,313 8 671.50 115 29 9
Camden NJ............................................... 1,674 84 670.00 116 209 124
Bronx-Manhattan NY...................................... 65 129 670.00 116 150 114
Virginia Beach-Norfolk-Newport News VA.................. 2,089 69 670.00 116 77 71
North Port-Sarasota-Bradenton FL........................ 1,299 100 667.98 119 45 28
Toledo OH............................................... 1,618 85 664.58 120 55 41
Covington-Florence-Newport KY........................... 1,400 97 658.46 121 55 42
Lake-McHenry Counties IL................................ 1,047 108 629.90 122 107 95
Allentown-Bethlehem-Easton PA........................... 1,096 106 625.00 123 172 121
Poughkeepsie-Newburgh-Middletown NY..................... 1,607 86 625.00 123 67 58
Kenosha County WI....................................... 272 128 618.78 125 23 4
Bristol County MA....................................... 553 125 600.00 126 105 94
Springfield MA.......................................... 1,844 78 574.29 127 121 104
Little Rock-North Little Rock-Conway AR................. 4,085 30 574.29 127 90 81
Tucson AZ............................................... 3,675 38 574.29 127 42 26
Vancouver WA............................................ 2,285 62 574.29 127 40 25
--------------------------------------------------------------------------------------------------------------------------------------------------------
\1\ 2016 allowed services.
We found no correlation between the size of the areas and/or
average volume per supplier and maximum bid amounts for code E0260. The
lowest volume CBA (Council Bluffs, Iowa) had the 46th highest maximum
bid for E0260 and the second lowest volume CBA (Pierce-St. Croix
Counties Wisconsin) had the 86th highest maximum bid for E0260. The
highest maximum bid for E0260 was from the 7,437 square mile area for
Salt Lake City, Utah (the 7th largest area), but the second highest
maximum bid for E0260 was from the 1,585 square mile area for Ocala,
Florida (the 88th largest area).
We also analyzed the maximum bids for E0260 for states with at
least 7 CBAs to see if there was any correlation between maximum bid
amounts and area size, average volume per supplier, or number of
suppliers and did not see any correlation between the maximum bids and
these factors. California has 12 CBAs ranging in size from 791 to 8,900
square miles. Bakersfield, one of the CBAs, has the second largest
service area (8,132 square miles) and lowest average volume per
supplier for E0260 in 2016 (24) in California, but the maximum winning
bid for E0260 for Bakersfield was lower than the maximum winning bids
for seven of the eleven other CBAs, all having smaller service areas as
well, with the exception of Riverside (8,900 square miles). See Table
26.
Table 26--Round 1 2017 and Round 2 Recompete California CBA Comparison and Maximum Bids for E0260
--------------------------------------------------------------------------------------------------------------------------------------------------------
Average
Service area Allowed Number of allowed Maximum bid
Area (square miles) Population services in suppliers in services per (E0260)
2016 (E0260) 2016 (E0260) supplier
--------------------------------------------------------------------------------------------------------------------------------------------------------
Bakersfield............................................. 8,132 839,631 462 19 24 $690.00
Fresno.................................................. 5,958 930,450 571 19 30 816.78
San Diego............................................... 4,207 3,095,313 1,360 46 30 705.49
San Jose................................................ 2,679 1,836,911 913 30 30 705.49
Stockton-Lodi........................................... 1,391 685,306 586 16 37 674.00
Riverside............................................... 8,900 4,224,851 2,838 54 53 920.00
Oxnard.................................................. 1,290 823,318 1,124 20 56 674.00
Orange County........................................... 791 3,010,232 2,596 38 68 674.00
San Francisco........................................... 2,471 4,335,391 5,729 62 92 705.49
Los Angeles County...................................... 2,232 9,818,605 11,509 106 109 840.60
Visalia-Porterville..................................... 3,377 442,179 907 8 113 705.49
Sacramento.............................................. 5,094 2,149,127 5,434 36 151 674.00
--------------------------------------------------------------------------------------------------------------------------------------------------------
Florida has 10 CBAs ranging in size from 785 to 5,077 square miles.
Ocala, one of the CBAs, has the lowest volume per supplier and the
highest maximum bid in Florida. However, North Point and Deltona have
much lower maximum bids for E0260 but only slightly higher volume and
number of suppliers and are the same size as the Ocala CBA. See Table
27.
[[Page 34364]]
Table 27--Round 1 2017 and Round 2 Recompete Florida CBA Comparison and Maximum Bids for E0260
--------------------------------------------------------------------------------------------------------------------------------------------------------
Average
Service area Allowed Number of allowed Maximum bid
Area (square miles) Population services in suppliers in services per (E0260)
2016 (E0260) 2016 (E0260) supplier
--------------------------------------------------------------------------------------------------------------------------------------------------------
Ocala................................................... 1,585 331,303 1,195 36 33 $1,325.00
Cape Coral-Fort Myers................................... 785 618,754 1,189 32 37 752.90
North Port-Sarasota..................................... 1,299 702,281 2,177 48 45 667.98
Deltona................................................. 1,586 590,289 2,223 49 45 798.88
Orlando................................................. 3,478 2,134,406 6,593 98 67 873.47
Palm Bay-Melbourne...................................... 1,016 543,376 2,416 36 67 739.09
Lakeland................................................ 1,798 602,095 2,636 37 71 798.88
Tampa-St. Petersburg.................................... 2,513 2,783,243 8,059 95 85 850.00
Jacksonville............................................ 3,201 1,345,596 5,163 45 115 752.90
Miami................................................... 5,077 5,564,657 20,183 127 159 760.20
--------------------------------------------------------------------------------------------------------------------------------------------------------
New York has 9 CBAs ranging in size from 65 to 3,266 square miles.
Syracuse, one of the CBAs, has the lowest volume and highest maximum
bid in New York for E0260. By contrast, the Nassau CBA has a much
higher volume for E0260 and a smaller service area than the Syracuse
CBA, but a maximum bid for E0260 that is very close to the maximum bid
for E0260 for the Syracuse CBA. See Table 28.
Table 28--Round 2 Recompete New York CBA Comparison and Maximum Bids for E0260
--------------------------------------------------------------------------------------------------------------------------------------------------------
Average
Service area Allowed Number of allowed Maximum bid
Area (square miles) Population services in suppliers in services per (E0260)
2016 (E0260) 2016 (E0260) supplier
--------------------------------------------------------------------------------------------------------------------------------------------------------
Syracuse................................................ 2,385 662,577 1,599 32 50 $742.50
Poughkeepsie............................................ 1,607 670,301 2,291 34 67 625.00
Rochester............................................... 3,266 1,079,671 2,382 31 77 680.00
Buffalo................................................. 1,565 1,135,509 1,983 22 90 680.00
Albany.................................................. 2,812 870,716 2,854 30 95 700.00
Port Chester............................................ 834 1,360,510 6,591 51 129 687.05
Bronx-Manhattan......................................... 65 2,970,981 9,884 66 150 670.00
Suffolk County.......................................... 912 1,493,350 6,231 37 168 687.05
Nassau Kings Queens..................................... 522 6,543,684 25,839 102 253 739.09
--------------------------------------------------------------------------------------------------------------------------------------------------------
Ohio has 7 CBAs ranging in size from 900 to 4,797 square miles.
Four of the CBAs have the same maximum bid for E0260 ($700), yet the
areas are not similar in size, volume, or number of suppliers. See
Table 29.
Table 29--Round 1 2017 and Round 2 Recompete Ohio CBA Comparison and Maximum Bids for E0260
--------------------------------------------------------------------------------------------------------------------------------------------------------
Average
Service area Allowed Number of allowed Maximum bid
Area (square miles) Population services in suppliers in services per (E0260)
2016 (E0260) 2016 (E0260) supplier
--------------------------------------------------------------------------------------------------------------------------------------------------------
Toledo.................................................. 1,618 651,429 1,649 30 55 $664.58
Youngstown.............................................. 1,030 449,130 1,199 19 63 700.00
Columbus................................................ 4,797 1,901,974 5,409 62 87 700.00
Akron................................................... 900 703,200 2,350 26 90 683.00
Cincinnati.............................................. 2,216 1,625,406 4,530 45 101 700.00
Dayton.................................................. 1,706 841,502 3,705 36 103 700.00
Cleveland............................................... 1,997 2,077,245 10,623 59 180 705.00
--------------------------------------------------------------------------------------------------------------------------------------------------------
Finally, Texas has 7 CBAs ranging in size from 1,013 to 9,091
square miles. The San Antonio CBA has the lowest volume for E0260 and
is a large area, but has the lowest maximum bid amount for E0260 in
Texas. The McAllen CBA has the highest maximum bid amount for E0260,
but is much smaller and has a much higher average volume per supplier
for E0260 than the San Antonio CBA. See Table 30.
Table 30--Round 1 2017 and Round 2 Recompete Texas CBA Comparison and Maximum Bids for E0260
--------------------------------------------------------------------------------------------------------------------------------------------------------
Average
Service area Allowed Number of allowed Maximum bid
Area (square miles) Population services in suppliers in services per (E0260)
2016 (E0260) 2016 (E0260) supplier
--------------------------------------------------------------------------------------------------------------------------------------------------------
San Antonio............................................. 7,313 2,142,508 1,026 35 29 $671.50
[[Page 34365]]
Beaumont-Port Arthur.................................... 3,034 403,190 894 24 37 800.00
Austin.................................................. 4,220 1,716,289 2,599 45 58 800.00
El Paso................................................. 1,013 800,647 1,110 15 74 800.00
McAllen................................................. 1,571 774,773 2,279 18 127 950.00
Houston................................................. 8,827 5,946,800 11,353 88 129 714.06
Dallas.................................................. 9,091 6,417,724 14,362 101 142 697.17
--------------------------------------------------------------------------------------------------------------------------------------------------------
We did not find any correlation between maximum winning bid amounts
for code E0260 and the size of a service area or between maximum
winning bid amounts for code E0260 and the volume of items and services
furnished by suppliers in various areas.
Table 31 lists the 130 maximum bids in Round 1 2017 and Round 2
Recompete for code E1390 (oxygen concentrators and portable oxygen
contents or tanks).
Table 31--Maximum Bid Amounts for HCPCS Code E1390
[Oxygen concentrator and portable contents/tanks]
--------------------------------------------------------------------------------------------------------------------------------------------------------
Maximum Average E1390 Volume rank
Area name Size in Size rank winning bid Max E1390 bid services per (low to high)
square miles E1390 rank supplier \1\ E1390
--------------------------------------------------------------------------------------------------------------------------------------------------------
Cape Coral-Fort Myers, FL............................... 785 118 $135.50 1 108 7
Seattle-Tacoma-Bellevue, WA............................. 5,872 14 134.17 2 222 79
Birmingham-Hoover, AL................................... 5,280 17 132.52 3 174 49
Hartford-West Hartford-East Hartford, CT................ 1,515 94 130.28 4 287 108
Albuquerque, NM......................................... 6,287 10 123.00 5 224 81
Jeffersonville-New Albany, IN........................... 1,709 82 117.60 6 278 102
Gary, IN................................................ 1,878 77 117.60 6 279 103
Indianapolis-Carmel-Anderson, IN........................ 3,994 33 115.00 8 357 122
North Port-Sarasota-Bradenton, FL....................... 1,299 100 110.50 9 136 19
Nashville-Davidson-Murfreesboro-Franklin, TN............ 6,036 12 109.00 10 185 57
Miami-Fort Lauderdale-West Palm Beach, FL............... 5,077 20 109.00 10 199 65
Salt Lake City, UT...................................... 7,473 7 106.00 12 375 126
Ocala, FL............................................... 1,585 88 106.00 12 108 7
Charlotte-Concord-Gastonia, NC.......................... 3,788 37 106.00 12 243 89
Kansas City, MO......................................... 4,572 25 106.00 12 315 115
Wichita, KS............................................. 4,149 29 106.00 12 412 130
Knoxville, TN........................................... 3,501 39 106.00 12 217 76
Portland-Hillsboro-Beaverton, OR........................ 4,399 26 106.00 12 132 16
McAllen-Edinburg-Mission, TX............................ 1,571 90 106.00 12 80 2
Colorado Springs, CO.................................... 2,684 52 106.00 12 368 124
Phoenix-Mesa-Scottsdale, AZ............................. 12,036 1 106.00 12 168 44
Riverside-San Bernardino-Ontario, CA.................... 8,900 4 106.00 12 188 61
Bridgeport-Stamford-Norwalk, CT......................... 625 122 106.00 12 234 84
Tampa-St. Petersburg-Clearwater, FL..................... 2,513 55 106.00 12 202 67
Boise City, ID.......................................... 11,766 2 106.00 12 147 24
Los Angeles County, CA.................................. 2,232 65 106.00 12 202 67
New Haven-Milford, CT................................... 605 123 106.00 12 237 87
Boston-Cambridge-Quincy, MA............................. 2,424 59 106.00 12 349 121
Kansas City-Overland Park-Ottawa, KS.................... 2,829 48 106.00 12 275 100
Denver-Aurora-Lakewood, CO.............................. 3,906 34 106.00 12 365 123
Chicago-Naperville-Arlington Heights, IL................ 1,273 103 106.00 12 377 127
Fresno, CA.............................................. 5,958 13 106.00 12 280 105
Worcester, MA........................................... 1,511 95 106.00 12 226 82
Minneapolis-St. Paul-Bloomington, MN.................... 4,731 23 106.00 12 152 30
El Paso, TX............................................. 1,013 112 106.00 12 178 52
Austin-Round Rock, TX................................... 4,220 27 106.00 12 143 22
Beaumont-Port Arthur, TX................................ 3,034 46 106.00 12 171 47
Lakeland-Winter Haven, FL............................... 1,798 80 106.00 12 115 10
Deltona-Daytona Beach-Ormond Beach, FL.................. 1,586 87 106.00 12 123 13
Silver Spring-Rockville-Bethesda, MD.................... 1,152 105 106.00 12 132 16
Atlanta-Sandy Springs-Roswell, GA....................... 7,275 9 106.00 12 236 86
Columbia, SC............................................ 3,250 43 106.00 12 186 58
[[Page 34366]]
Memphis, TN............................................. 1,926 74 106.00 12 297 111
Omaha, NE............................................... 2,265 63 106.00 12 170 46
Council Bluffs, IA...................................... 2,085 70 106.00 12 148 26
Oklahoma City, OK....................................... 5,512 15 106.00 12 286 106
Chattanooga, TN......................................... 1,306 99 106.00 12 176 51
Washington, DC.......................................... 61 130 106.00 12 113 9
Jacksonville, FL........................................ 3,201 45 106.00 12 187 59
Jackson, MS............................................. 4,649 24 106.00 12 150 27
Baton Rouge, LA......................................... 4,027 32 106.00 12 166 39
South Haven-Olive Branch, MS............................ 2,448 57 106.00 12 214 74
East St. Louis, IL...................................... 3,845 36 106.00 12 258 92
Pittsburgh, PA.......................................... 5,282 16 106.00 12 327 120
Charleston-North Charleston, SC......................... 2,588 54 106.00 12 153 31
Aiken-Edgefield Counties, SC............................ 1,571 90 106.00 12 96 3
St. Louis, MO........................................... 5,267 18 106.00 12 315 115
Nassau Kings Queens-Richmond Counties, NY............... 522 126 106.00 12 216 75
Palm Bay-Melbourne-Titusville, FL....................... 1,016 111 106.00 12 157 34
Rockingham-Strafford Counties, NH....................... 1,064 107 106.00 12 197 64
Milwaukee-Waukesha-West Allis, WI....................... 1,455 96 106.00 12 268 99
Providence, RI.......................................... 1,034 109 106.00 12 221 77
Huntington, WV.......................................... 1,570 92 106.00 12 223 80
Dearborn Franklin Ohio-Union Counties, IN............... 937 113 106.00 12 106 5
Aurora-Elgin-Joliet, IL................................. 2,727 50 106.00 12 191 62
Houston-The Woodlands-Sugar Land, TX.................... 8,827 5 106.00 12 207 69
Tulsa, OK............................................... 6,269 11 106.00 12 226 82
Visalia-Porterville, CA................................. 3,377 41 106.00 12 398 128
San Francisco-Oakland-Hayward, CA....................... 2,471 56 106.00 12 166 39
San Jose-Sunnyvale-Santa Clara, CA...................... 2,679 53 106.00 12 130 15
San Diego-Carlsbad, CA.................................. 4,207 28 106.00 12 159 35
Cleveland-Elyria, OH.................................... 1,997 72 106.00 12 407 129
New Orleans-Metairie, LA................................ 2,422 60 106.00 12 160 36
Pierce-St. Croix Counties, WI........................... 1,296 101 106.00 12 72 1
Dayton, OH.............................................. 1,706 83 106.00 12 235 85
Cincinnati, OH.......................................... 2,216 66 106.00 12 311 112
Albany-Schenectady-Troy, NY............................. 2,812 49 106.00 12 263 94
Columbus, OH............................................ 4,797 22 106.00 12 199 65
Dallas-Fort Worth-Arlington, TX......................... 9,091 3 106.00 12 262 93
Baltimore-Columbia-Towson, MD........................... 2,948 47 106.00 12 324 118
Bakersfield, CA......................................... 8,132 6 106.00 12 164 38
Calvert-Charles-Prince Georges Counties, MD............. 1,154 104 106.00 12 178 52
Suffolk County, NY...................................... 912 114 106.00 12 208 70
Port Chester-White Plains-Yonkers, NY................... 834 116 106.00 12 153 31
Philadelphia, PA........................................ 2,156 67 106.00 12 326 119
Buffalo-Cheektowaga-Niagara Falls, NY................... 1,565 93 106.00 12 286 106
Rochester, NY........................................... 3,266 42 106.00 12 171 47
Detroit-Warren-Dearborn, MI............................. 3,888 35 106.00 12 322 117
Grand Rapids-Wyoming, MI................................ 4,053 31 106.00 12 183 54
Arlington-Alexandria-Reston, VA......................... 3,226 44 106.00 12 166 39
Richmond, VA............................................ 4,897 21 106.00 12 275 100
Sacramento-Roseville-Arden-Arcade, CA................... 5,094 19 106.00 12 210 72
Orange County, CA....................................... 791 117 106.00 12 134 18
Oxnard-Thousand Oaks-Ventura, CA........................ 1,290 102 106.00 12 140 20
San Antonio-New Braunfels, TX........................... 7,313 8 106.00 12 210 72
Bronx-Manhattan, NY..................................... 65 129 106.00 12 97 4
Virginia Beach-Norfolk-Newport News, VA................. 2,089 69 106.00 12 253 91
Covington-Florence-Newport, KY.......................... 1,400 97 106.00 12 167 42
Lake-McHenry Counties, IL............................... 1,047 108 106.00 12 183 55
Kenosha County, WI...................................... 272 128 106.00 12 161 37
Bristol County, MA...................................... 553 125 106.00 12 264 97
Springfield, MA......................................... 1,844 78 106.00 12 252 90
Tucson, AZ.............................................. 3,675 38 106.00 12 141 21
Vancouver, WA........................................... 2,285 62 106.00 12 121 11
Raleigh, NC............................................. 2,118 68 105.00 105 127 14
Asheville, NC........................................... 2,033 71 94.00 106 312 114
[[Page 34367]]
Honolulu, HI............................................ 601 124 92.66 107 107 6
Las Vegas-Henderson-Paradise, NV........................ 1,578 89 92.27 108 191 62
Orlando-Kissimmee-Sanford, FL........................... 3,478 40 92.00 109 175 50
Greensboro-High Point, NC............................... 1,994 73 86.84 110 169 45
Poughkeepsie-Newburgh-Middletown, NY.................... 1,607 86 85.35 111 147 24
Augusta-Richmond County, GA............................. 1,909 76 85.00 112 155 33
Allentown-Bethlehem-Easton, PA.......................... 1,096 106 85.00 112 263 94
Flint, MI............................................... 637 121 84.29 114 150 27
Greenville-Anderson-Mauldin, SC......................... 2,711 51 83.44 115 263 94
Chester Lancaster-York Counties, SC..................... 1,810 79 83.44 115 150 27
Scranton-Wilkes-Barre-Hazleton, PA...................... 1,747 81 83.00 117 311 112
Louisville-Jefferson County, KY......................... 2,440 58 83.00 117 373 125
Little Rock-North Little Rock-Conway, AR................ 4,085 30 83.00 117 279 103
Stockton-Lodi, CA....................................... 1,391 98 82.15 120 122 12
Wilmington, DE.......................................... 426 127 82.00 121 209 71
Mercer County, PA....................................... 673 120 82.00 121 143 22
Jersey City-Newark, NJ.................................. 1,926 74 82.00 121 237 87
Camden, NJ.............................................. 1,674 84 82.00 121 287 108
Youngstown-Warren-Boardman, OH.......................... 1,030 110 81.41 125 187 59
Akron, OH............................................... 900 115 81.41 125 167 42
Syracuse, NY............................................ 2,385 61 81.00 127 265 98
Elizabeth-Lakewood-New Brunswick, NJ.................... 2,239 64 81.00 127 296 110
Catoosa Dade-Walker Counties, GA........................ 783 119 79.80 129 221 77
Toledo, OH.............................................. 1,618 85 79.80 129 183 55
--------------------------------------------------------------------------------------------------------------------------------------------------------
\1\ 2016 allowed services.
Again, we found no correlation between area size and/or average
volume for E1390 per supplier and maximum bid amounts. In addition,
CBAs that had the highest maximum winning bids for code E0260 did not
always have the highest maximum winning bids for code E1390. For
example, the Cape Coral-Fort Myers, Florida CBA had the highest maximum
winning bid for E1390, but was tied for the 55th highest maximum
winning bid for E0260. In many cases, national chain suppliers for
oxygen bid the same amount in every area. For oxygen and oxygen
equipment (E1390), there were six national chain suppliers that
submitted the same winning bid amounts in at least 33 different CBAs
and four suppliers that submitted the same winning bid amounts in at
least 67 different CBAs. One of these suppliers submitted the maximum
winning bid for E1390 of $106 in 93 different CBAs.
Maximum bid amounts can be bid amounts from a single supplier (the
supplier submitting the pivotal bid), which may or may not reflect the
costs of other suppliers and don't seem to show any pattern from area
to area in terms of some areas always having the highest maximum bids
for items and other areas always having the lowest maximum winning bids
for items. The maximum winning bids for items show no correlation with
area size, volume, or number of suppliers. In some cases, the maximum
bid amount is the same in dozens of different CBAs across the country.
The maximum bids for lower weight items are also impacted by unbalanced
bidding, whereby the suppliers bid higher amounts for these items
knowing that they will have little impact on their composite bid and
chances for winning.
3. Travel Distance Analysis
Section 16008 of the Cures Act mandates that we take into account a
comparison of the average travel distances associated with furnishing
items and services in CBAs and non-CBAs in making adjustments to fee
schedule amounts for items furnished on or after January 1, 2019, based
on information from the CBP. We first examined the average travel
distances in CBAs versus non-CBAs by analyzing differences in the
geographic size in square miles of CBAs versus non-CBAs consisting of
MSAs and micropolitan statistical areas (micro areas). The majority of
items subject to the fee schedule adjustments are furnished in these
non-CBAs.
The U.S. Office of Management and Budget (OMB) delineates MSAs and
micro areas, which are referred to collectively as ``core based
statistical areas'' (CBSAs). OMB set the standards for delineating MSAs
and micro areas in the notice published on June 28, 2010 in the Federal
Register, titled ``2010 Standards for Delineating Metropolitan and
Micropolitan Statistical Areas'' (75 FR 37245). The general concept of
the MSA and micro area is that of a core area containing a substantial
population nucleus, together with adjacent communities having a higher
degree of economic and social integration with that core. CBSAs consist
of counties and equivalent entities throughout the U.S. and Puerto Rico
(75 FR 37249). A CBSA is categorized based on the population of the
largest urban area (urbanized area or urban cluster) within the CBSA
(75 FR 37250). Each CBSA must have a Census Bureau delineated urbanized
area of at least 50,000 population or a Census Bureau delineated urban
cluster of at least 10,000 population (75 FR 37249). An urbanized area
is a statistical geographic entity delineated by the U.S. Census
Bureau, consisting of densely settled census tracts and blocks and
adjacent densely settled territory that together contain at least
50,000 people (75 FR 37252). An urban cluster is a statistical
geographic entity delineated by the U.S. Census Bureau, consisting of
densely settled census tracts and blocks and adjacent densely settled
territory that together contain at least 2,500
[[Page 34368]]
people (75 FR 37252). MSAs contain at least one urbanized area that has
a population of at least 50,000; micro areas contain at least one urban
cluster that has a population of at least 10,000 and less than 50,000
(75 FR 37252).
We compared the average size of the different areas nationally and
by Bureau of Economic Analysis (BEA) region. We also computed the
weighted average size of the different areas nationally and by region,
weighted by total population. The CBAs have much larger service areas
than the non-CBA MSA and micro areas. It is also worth noting that our
current definition of rural area for the purposes of fee schedule
adjustments in non-CBAs includes micro areas (in general, a rural area
is currently defined at 42 CFR 414.202 as any zip code area where at
least 50 percent of the area is outside a MSA or with a low population
density that was excluded from a CBA).
Under the CBP, a contract supplier is required to deliver items to
any beneficiary in the CBA that requests service. The size of CBAs can
be compared to the size of non-CBAs to indicate how far a supplier
located in or near the areas may have to travel to serve beneficiaries
located in the various areas. As shown in Table 32, the average size of
CBAs in each of the eight BEA regions is larger than the average size
of both non-rural areas and rural areas classified as micro areas by
OMB, areas where competitive bidding, for the most part, not yet been
implemented, and where the vast majority of items are furnished in the
non-CBAs.
Table 32--Average Size of Area
[Square miles]
----------------------------------------------------------------------------------------------------------------
BEA region CBA MSA Micro
----------------------------------------------------------------------------------------------------------------
New England..................................................... 1,241 1,175 968
Mideast......................................................... 1,659 833 859
Great Lakes..................................................... 2,061 942 638
Plains.......................................................... 3,700 1,880 1,029
Southeast....................................................... 2,776 1,218 681
Southwest....................................................... 5,737 3,637 1,992
Rocky Mountain.................................................. 6,457 3,025 3,002
Far West........................................................ 3,791 2,308 3,776
Average......................................................... 3,428 1,877 1,618
----------------------------------------------------------------------------------------------------------------
The average non-CBA MSA size is 55 percent of the average CBA size
and the average non-CBA micro area size is 47 percent of the average
CBA size. As shown in Table 33, when weighting the average size of the
areas based on U.S. Census total resident 2010 population numbers, the
differences in the average size of the areas is similar to the
differences noted in Table 32. The weighted average non-CBA MSA size is
57 percent of the weighted average CBA size and the weighted average
non-CBA micro area size is 43 percent of the weighted average CBA size.
Table 33--Average Size of Area (Square Miles) Weighted by Population
----------------------------------------------------------------------------------------------------------------
BEA region CBA MSA Micro
----------------------------------------------------------------------------------------------------------------
BEA Region...................................................... CBA MSA Micro
New England..................................................... 1,624 1,273 1,094
Mideast......................................................... 1,718 937 1,016
Great Lakes..................................................... 2,707 1,875 711
Plains.......................................................... 4,371 3,169 1,157
Southeast....................................................... 5,780 1,517 911
Southwest....................................................... 7,917 3,510 2,355
Rocky Mountain.................................................. 5,559 3,934 3,494
Far West........................................................ 3,833 2,749 3,582
Average......................................................... 4,189 2,371 1,790
----------------------------------------------------------------------------------------------------------------
The size of the CBAs are much larger than the size of the non-CBA
MSAs and micro areas where most of the items subject to the fee
schedule adjustments are furnished. The contract suppliers must serve
every part of these areas and have much larger travel distances on
average than suppliers in both non-CBA urban areas (MSAs) and non-CBA
rural areas (areas outside MSAs).
The data in Table 34 shows what percentage of suppliers furnishing
items and services subject to the fee schedule adjustments are located
in the same areas where the items and services are furnished (that is,
the percentage of suppliers located in the same area as the
beneficiary). We separated the data by CBA, and then non-CBA MSA, micro
area, or Outside Core Based Statistical Area (OCBSA), which are
counties that do not qualify for inclusion in a CBSA. The data in Table
34 shows that the majority of suppliers furnishing items and services
subject to the fee schedule adjustments are located in the same areas
where these items and services are furnished.
Table 34--Percentage of Items and Services in 2016 Furnished by Suppliers
Located in the Same Area as the Beneficiary
----------------------------------------------------------------------------------------------------------------
Hospital beds
Beneficiary area (%) Oxygen (%) All items (%)
----------------------------------------------------------------------------------------------------------------
CBAs............................................................ 68 77 64
[[Page 34369]]
Non-CBA MSAs.................................................... 68 63 65
Non-CBA Micro Areas............................................. 64 61 61
Non-CBA OCBSAs.................................................. 78 82 81
----------------------------------------------------------------------------------------------------------------
We also compared the average travel distances for suppliers in the
different areas using claims data for items and services subject to the
fee schedule adjustments. For each allowed DME item and service, we
used the shortest distance between the coordinates of the beneficiary's
residential ZIP code and those of the supplier's ZIP code on the
surface of a globe as a proxy of DME delivery distance. In addition, we
prioritized 9-digit ZIP codes over 5-digit ZIP codes when determining
the coordinates. The results in Table 35 are for hospital beds and
oxygen and oxygen equipment, items that are most likely to be delivered
locally by suppliers using company vehicles.
Table 35--Average Number of Miles Between Supplier and Beneficiary Based
on Claims for 2016
------------------------------------------------------------------------
Beneficiary area Hospital beds Oxygen
------------------------------------------------------------------------
CBAs.................................... 62 79
Non-CBA MSAs............................ 35 54
Non-CBA Micro Areas..................... 30 49
Non-CBA OCBSAs.......................... 34 57
------------------------------------------------------------------------
These results indicate that the average travel distances in CBAs
are much greater than the average travel distances in all non-CBAs, but
the data may be skewed by claims for suppliers that put a billing
address on the claim that is not the address of the location that
furnished the item (either a different location or a subcontractor).
The data may also be skewed by claims where the beneficiary receives
the item from a supplier in a different area because he or she is
travelling (for example, ``snowbirds''). To account for this, we
excluded data for claims where the beneficiary address was more than
two states away from the supplier location on the claim form, as these
are likely claims where the item was delivered from a different
location or by a sub-contractor, or were claims for traveling
beneficiaries (that is, snowbirds and other beneficiaries receiving
items from suppliers in locations other than their permanent
residence). We also excluded data for suppliers with multiple locations
that always put the same address on all of their claims. When using
data for this restricted population (beneficiaries receiving items from
suppliers in same or adjoining states) and these restricted suppliers
(all suppliers except those with multiple locations that always bill
from the same location), the results on average distances are
significant, as shown in Table 36 for hospital beds, oxygen and oxygen
equipment, and all items subject to the fee schedule adjustments.
Table 36--Average Number of Miles Between Supplier and Beneficiary
Based on Restricted Claims for 2016 1
----------------------------------------------------------------------------------------------------------------
Beneficiary area Hospital beds Oxygen All items
----------------------------------------------------------------------------------------------------------------
CBAs............................................................ 25 21 27
Non-CBA MSAs.................................................... 22 19 24
Non-CBA Micro Areas............................................. 23 21 27
Non-CBA OCBSAs.................................................. 27 30 36
----------------------------------------------------------------------------------------------------------------
\1\ Claims where the supplier billing address is in the same or adjoining state as the beneficiary address,
excluding claims from suppliers with multiple locations that always use the same billing address.
Based on these results, the average distances from the supplier to
the beneficiary in the CBAs are still greater than the average
distances from the supplier to the beneficiary in the non-CBA MSAs and
micro areas where most of the items subject to the fee schedule
adjustments are furnished. However, the average distances for other
rural areas (areas outside both MSAs and micro areas) are slightly
greater than the average distances for the CBAs.
It is not surprising that the average distances between supplier
billing locations and beneficiary residences are greater in CBAs than
in non-CBA MSAs and micro areas given the findings above that the CBAs
are much larger areas and given that the majority of items furnished in
the various areas are furnished by suppliers located in those areas.
Regardless of the type of area, it makes sense that suppliers would
locate their businesses in the places where most of the population
resides (cities and towns). The means that the average distance
travelled by the supplier will be weighted heavily in favor of the
shorter trips made from the location to the beneficiaries living in the
immediate area. The supplier will also make much longer trips, but
these trips would not have as great an impact on the average travel
distance as the trips made to the population nucleus immediately
surrounding the supplier location.
We also did this same analysis comparing average distances in CBAs
versus non-CBAs broken out not based on whether the beneficiary resided
in an MSA, micro area, or OCBSA, but broken out based on whether or not
the
[[Page 34370]]
beneficiary resided in a super rural (SR) area based on the definition
of super rural area used in the ambulance fee schedule rules in Sec.
414.610(c)(5)(ii). Specifically, we used the April 2018 quarterly Zip
Code to Carrier Locality File. When doing so, we found that out of all
allowed services for DME items subject to the fee schedule adjustments,
9 percent of allowed services were furnished in SR areas. From 2015 to
2016, SR areas saw a 3 percent increase in allowed services. At the
product category level, SR areas exhibit the same level of change in
service volume as the rest of the nation. Without any data
restrictions, CBAs tend to have greater average service distances than
non-CBAs. For the restricted population, however, SR areas almost
always show the greatest average distance. Lastly, we did not find any
noticeable increase in service distance from 2015 to 2016 for any
product category.
Table 37 shows the data for claims from all suppliers and Table 38
shows the data for the same restricted claims.
Table 37--Average Number of Miles Between Supplier and Beneficiary Based
on Claims for 2016
------------------------------------------------------------------------
Beneficiary area Hospital beds Oxygen
------------------------------------------------------------------------
CBAs.................................... 62 79
Non-SR Areas............................ 32 51
SR Areas................................ 48 64
------------------------------------------------------------------------
Table 38--Average Number of Miles Between Supplier and Beneficiary Based on Restricted Claims for 2016 \1\
----------------------------------------------------------------------------------------------------------------
Beneficiary area Hospital beds Oxygen All items
----------------------------------------------------------------------------------------------------------------
CBAs............................................................ 25 21 27
Non-SR Areas.................................................... 22 19 25
SR Areas........................................................ 36 35 41
----------------------------------------------------------------------------------------------------------------
\1\ Claims where the supplier billing address is in the same or adjoining state as the beneficiary address,
excluding claims from suppliers with multiple locations that always use the same billing address.
We also did this same analysis comparing average distances in CBAs
versus non-CBAs broken out not based on whether the beneficiary resided
in an MSA, micro area, or OCBSA, but broken out based on whether or not
the beneficiary resided in a far and remote (FAR) area. We examined
whether the beneficiary resided in a FAR area, as defined by the Office
of Rural Health Policy in the Health Resources and Services
Administration in a final notice published on May 5, 2014 in the
Federal Register, titled ``Methodology for Designation of Frontier and
Remote Areas'' (79 FR 25599). FAR is a statistical delineation that
defines frontier and remote areas based on remoteness and population
sparseness. FAR areas are defined in relation to the time it takes to
travel by car to the edges of nearby Census defined Urban Areas. The
Department of Agriculture maintains a list of ZIP codes that identify
FAR areas in the U.S. Specifically, we used the 2010 Frontier and
Remote Area Codes Data Files, last updated by the Department of
Agriculture on April 15, 2015.\18\ There are four levels of FAR, as
rural areas experience degrees of remoteness at higher or lower
population levels that affect access to different types of goods and
services.
---------------------------------------------------------------------------
\18\ https://www.ers.usda.gov/data-products/frontier-and-remote-area-codes/.
---------------------------------------------------------------------------
We looked at whether the beneficiary resided in a FAR level 1
(FAR1) area: An area with a population of less than 50,000 people
located 60 minutes or more from an area with a population of at least
50,000 people. Roughly 7 percent of items and services subject to
competitive bidding nationally are furnished in these FAR1 areas.
We also compared average distances in CBAs versus non-CBAs broken
out based on whether the beneficiary resided in a FAR level 3 (FAR3)
area: An area with a population of less than 10,000 people located 30
minutes or more from an urban area of 10,000 to 24,999 people, 45
minutes or more from an urban area of 25,000 to 49,999 people, and 60
minutes or more from an urban area of 50,000 or more. Roughly 3 percent
of items and services subject to competitive bidding nationally are
furnished in these FAR3 areas.
Table 39 shows the data for claims from all suppliers and Table 40
shows the data for the same restricted claims.
Table 39--Average Number of Miles Between Supplier and Beneficiary Based
on Claims for 2016
------------------------------------------------------------------------
Beneficiary area Hospital beds Oxygen
------------------------------------------------------------------------
CBAs.................................... 62 79
Non-FAR Areas........................... 33 52
FAR1 Areas.............................. 40 57
FAR3 Areas.............................. 49 72
------------------------------------------------------------------------
Table 40--Average Number of Miles Between Supplier and Beneficiary
Based on Restricted Claims for 2016 1
----------------------------------------------------------------------------------------------------------------
Beneficiary area Hospital beds Oxygen All items
----------------------------------------------------------------------------------------------------------------
CBAs............................................................ 25 21 27
[[Page 34371]]
Non-FAR Areas................................................... 22 20 26
FAR1 Areas...................................................... 29 30 37
FAR3 Areas...................................................... 37 40 46
----------------------------------------------------------------------------------------------------------------
\1\ Claims where the supplier billing address is in the same or adjoining state as the beneficiary address,
excluding claims from suppliers with multiple locations that always use the same billing address.
Average distances between suppliers and beneficiaries in areas
falling under the current definition of rural areas at Sec. 414.202
are not greater than the average distances in CBAs. When the restricted
data for rural areas for non-CBAs is broken out by micro area and
OCBSA, the distances are only slightly greater for OCBSAs than CBAs.
However, when the restricted data for non-CBAs in general is broken out
based on whether the non-CBA is a FAR3, Super Rural, or OCBSA, the
distances between suppliers and beneficiaries are much greater than for
the CBAs.
4. Cost Analysis
Section 16008 of the Cures Act mandates that we take into account a
comparison of the average costs associated with furnishing items and
services in CBAs and non-CBAs in making adjustments to fee schedule
amounts for items furnished on or after January 1, 2019, based on
information from the CBP. In our CY 2015 ESRD PPS proposed rule
published in the Federal Register, titled ``Medicare Program; End-Stage
Renal Disease Prospective Payment System, Quality Incentive Program,
and Durable Medical Equipment, Prosthetics, Orthotics, and Supplies;''
(79 FR 40279), we noted that Congress previously mandated that the
costs of furnishing DME in different geographic regions of the country
be studied. Section 135 of the Social Security Act Amendments of 1994
(Pub. L. 103-432), required an examination of the geographic variations
in DME supplier costs in order to determine whether the fee schedules
are reasonably adjusted to account for any geographic differences. Jing
Xing Health and Safety Resources, Inc. provided assistance to the
Health Care Financing Administration, now CMS, in conducting this
study. The project, titled ``Durable Medical Equipment Supplier Product
and Service Cost Study'', was completed under Contract Number Health
Care Financing Administration (HCFA) 500-95-0044 and submitted to the
agency in June 1996.\19\ As part of the study, a Federal Advisory Panel
was convened, a formal meeting with representatives of the DME industry
was held, and a literature review was conducted. The general consensus
among industry representatives and government agencies that
participated in the study was that there is no conclusive evidence that
urban and rural costs differed significantly or that the costs of
furnishing DME items and services were higher in urban areas versus
rural areas or vice versa.
---------------------------------------------------------------------------
\19\ https://ia800903.us.archive.org/14/items/durablemedicaleq00kowa/durablemedicaleq00kowa.pdf.
---------------------------------------------------------------------------
Jing Xing Health and Safety Resources, Inc. summarized the findings
from the study in a report titled ``Final Report: Durable Medical
Equipment Supplier Product and Service Cost Study'', and stated that,
``At one level, it is intuitively obvious that certain DME categories
require a much larger service component than others. To illustrate, the
service component in providing oxygen equipment is a larger proportion
of costs than, for example, selling a walker or cane. The latter does
not involve very much, if any, assembly, patient education,
maintenance, etc.'' Additionally, ``There was a general consensus among
study participants that excluding the impact of volume purchasing the
costs of acquiring DME items (that is, wholesale costs) are generally
the same around the country with the possible exceptions of Alaska and
Hawaii where shipping costs are greater. There was also general
agreement that service costs do vary with the largest geographic
variation resulting from labor costs. Limited tests using Medicare data
provide support for the theory that geographic variation in the costs
of providing DME is primarily caused by service components.''
In researching cost data for section 16008 of the Cures Act, we
sought data that was national in scope, robust, and would allow us to
access differences in costs of furnishing items and services in CBAs
versus non-CBAs throughout the country. We also primarily sought data
that was available at the county level, as this allowed us to compare
CBA counties to non-CBA counties. CBAs are currently comprised of whole
counties, except when certain low population density areas are excluded
from a county included in a CBA in accordance with section
1847(a)(3)(A) of the Act.
We examined four sources of cost data: (1) The Practice Expense
Geographic Practice Cost Index (PE GPCI), (2) delivery driver wages
from the Bureau of Labor Statistics (BLS), (3) real estate taxes from
the U.S. Census Bureau's American Community Survey (ACS), and (4) gas
and utility prices from the Consumer Price Index (CPI). Overall, we
found that CBAs tended to have the highest costs out of the cost data
that we examined, when compared to non-CBAs. We will now discuss the
cost data sources we examined, and the methodology we used to analyze
such cost data.
a. Cost Data Methodology
We first examined the PE GPCI. CMS first implemented the GPCIs as
part of the Medicare Physician Fee Schedule (PFS) in 1992 (56 FR
59502). CMS must review and, if necessary, adjust the GPCIs at least
every 3 years, as required by section 1848(e)(1)(C) of the Act. The
most recent update occurred in 2017, in which a final rule was
published on November 15, 2016 in the Federal Register, titled
``Medicare Program; Revisions to Payment Policies Under the Physician
Fee Schedule and Other Revisions to Part B for CY 2017; Medicare
Advantage Bid Pricing Data Release; Medicare Advantage and Part D
Medical Loss Ratio Data Release; Medicare Advantage Provider Network
Requirements; Expansion of Medicare Diabetes Prevention Program Model;
Medicare Shared Savings Program Requirements'' (81 FR 80170). The PE
GPCIs are comprised of four component indices (employee wages;
purchased services; office rent; and medical equipment, supplies and
other miscellaneous expenses), and are designed to measure the relative
cost difference in the mix of goods and services comprising practice
expenses (not including malpractice expenses) among the 89 PFS fee
schedule areas
[[Page 34372]]
throughout the nation, as compared to the national average of these
costs. The current 89 fee schedule areas are defined by state
boundaries (for example, Wisconsin), metropolitan areas (for example,
Metropolitan St. Louis, MO), portions of a metropolitan area (for
example, Manhattan), or rest-of-state areas that exclude metropolitan
areas (for example, Rest of Missouri). This configuration is used to
calculate the GPCIs that are in turn used to calculate payments for
physicians' services under the PFS (81 FR 80263).
The employee wage index measures several kinds of wages for
clinical and administrative office staff. The current GPCI methodology
relies on wage data from occupations representing 100 percent of total
non-physician wages in the ``offices of physicians: industry'' from the
BLS Occupational Employment Statistics (OES). This includes wages for
``Medical secretaries,'' ``Receptionists and information clerks,''
``Medical records and health information technicians,'' and other
additional occupations.\20\
---------------------------------------------------------------------------
\20\ Proposed Revisions to the Sixth Update of the Geographic
Practice Cost Index. https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/PhysicianFeeSched/Downloads/CMS_1524_P_CY2012_PFS_NPRM_GPCI_Revisions.pdf.
---------------------------------------------------------------------------
The purchased services index includes BLS OES wages for occupations
employed in industries from which physicians are likely to purchase
services, which includes the cost of contracted services (for example,
accounting, legal). This includes wages for ``Commercial and industrial
machinery and equipment repair and maintenance,'' ``Services to
buildings and dwellings,'' and other additional occupations.\20\
The office rent index measures regional variation in the price of
office rents using residential rent data from the U.S. Census Bureau's
American Community Survey (ACS) on median gross rents for two-bedroom
apartments. The ACS determines gross rent by adding up the following:
Contract rent + utilities (electricity, gas, and water and sewer) +
fuel (oil, coal, kerosene, wood, etc.). As such, we are using the PE
GPCI as a proxy for commercial rent and utilities.
In a final rule published on November 15, 2016 in the Federal
Register, titled ``Medicare Program; Revisions to Payment Policies
Under the Physician Fee Schedule and Other Revisions to Part B for CY
2017; Medicare Advantage Bid Pricing Data Release; Medicare Advantage
and Part D Medical Loss Ratio Data Release; Medicare Advantage Provider
Network Requirements; Expansion of Medicare Diabetes Prevention Program
Model; Medicare Shared Savings Program Requirements'' final rule (81 FR
80170), we stated because Medicare is a national program, and section
1848(e)(1)(A) of the Act requires CMS to establish GPCIs to measure
relative cost differences among localities compared to the national
average, we believe it is important to use the best data that is
available on a nationwide basis, that is regularly updated, and retains
consistency area-to-area, year-to-year (81 FR 80263). CMS discussed how
there is currently no national data source available for physician
office or other comparable commercial rents, which is why CMS uses
county-level residential rent data from ACS as a proxy for the relative
cost differences in commercial office rents. The ACS is administered by
the U.S. Census Bureau, which is a leading source of national, robust,
quality, publicly available data. A commercial data source for office
rent that provided for adequate representation of urban and rural areas
nationally would be preferable to a residential rent proxy. The GPCIs
are not an absolute measure of practice costs, rather they are a
measure of the relative cost differences for each of the three GPCI
components. The U.S. Census Bureau is a federal agency that specializes
in data collection, accuracy, and reliability, and we believe that
where such a publicly available resource exists that can provide useful
data to assess geographic cost differences in office rent, even though
it is a proxy for the exact data we seek, we should utilize that
available resource.
Therefore, given its national representation, reliability, high
response rate and frequent updates, we believe the ACS residential rent
data is the most appropriate data source available at this time for the
purposes of analyzing rent and utilities. It is also worth noting that
we examine utility prices from the CPI as another source of cost data,
which is discussed further on in the preamble of this proposed rule.
The medical equipment, supplies and other miscellaneous expense
cost index component of the PE GPCI measures practice expenses
associated with a wide range of costs that include chemicals and
rubber, to telephone and postage. The medical equipment, supplies, and
miscellaneous expenses index holds that there is a national market for
the items it measures such that there is not significant geographic
variation in costs. Therefore, this index is given a value of 1.000 for
each PFS fee schedule area. We discussed our reasoning behind this in
the final rule published on November 15, 2004 in the Federal Register,
titled ``Medicare Program; Revisions to Payment Policies Under the
Physician Fee Schedule for Calendar Year 2005'' (69 FR 66235), stating
``We were again unable to find any data sources that demonstrated price
differences by geographic areas. As mentioned in previous updates, some
price differences may exist, but these differences are more likely to
be based on volume discounts rather than on geographic areas.''
Separately billable items such as DMEPOS are generally not included in
this index, but this finding is consistent with the aforesaid findings
from the Jing Xing Health and Safety Resources, Inc. study.
The PE GPCIs are calculated at the fee schedule area level after
aggregating the county-level component indexes. The PE GPCI county
level data are for informational purposes only so that interested
parties can have a better understanding of the data that underpin their
fee schedule area GPCI values. In order to compare CBAs and non-CBAs,
we used CY 2017 PE GPCI county data (CY 2017 PFS final rule (81 FR
80170)) found in the GPCI public use files.\21\ This allowed us to then
map each county in this dataset to either a CBA, or non-CBA by MSA,
micro area, or OCBSA county, and to then see its corresponding PE GPCI.
The counties and county equivalent names listed in this file are from
the 2010 U.S. Census.
---------------------------------------------------------------------------
\21\ https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/PhysicianFeeSched/PFS-Federal-Regulation-Notices-Items/CMS-1654-F.html.
---------------------------------------------------------------------------
When mapping counties to CBAs, we selected all counties that were
included in Round 2 Recompete or Round 1 2017. We then used OMB
Bulletin No. 15-01 as the source for mapping the remaining counties to
either non-CBA by MSAs, micro areas, or OCBSAs.\22\ After doing this,
we grouped all contiguous counties of the U.S. with the same
delineation and BEA Region together. We grouped any non-contiguous
counties of the U.S. with the same delineation together. We then
calculated the weighted average of each delineation's PE GPCI value
using U.S. Census 2010 total resident population numbers for each
county. For this PE GPCI analysis, we included all 50 states and the
District of Columbia.
---------------------------------------------------------------------------
\22\ https://www.whitehouse.gov/sites/whitehouse.gov/files/omb/bulletins/2015/15-01.pdf.
---------------------------------------------------------------------------
Although counties in Puerto Rico and the Virgin Islands have a PE
GPCI value, each is assigned the GPCI national average of 1.0. For the
Virgin Islands, because county-level wage and rent data are not
available, and insufficient malpractice premium data are available, CMS
has set the PE GPCI values for the
[[Page 34373]]
Virgin Islands fee schedule area at the national average of 1.0 (81 FR
80269). In an effort to provide greater consistency in the calculation
of GPCIs given the lack of comprehensive data regarding the validity of
applying the proxy data used in the states in accurately accounting for
variability of costs for these island territories, we discussed in a
final rule published on November 15, 2016 in the Federal Register,
titled ``Medicare Program; Revisions to Payment Policies Under the
Physician Fee Schedule and Other Revisions to Part B for CY 2017;
Medicare Advantage Bid Pricing Data Release; Medicare Advantage and
Part D Medical Loss Ratio Data Release; Medicare Advantage Provider
Network Requirements; Expansion of Medicare Diabetes Prevention Program
Model; Medicare Shared Savings Program Requirements'' final rule (81 FR
80170) that we would treat the Caribbean Island territories (the Virgin
Islands and Puerto Rico) in a consistent manner. We thus finalized a
proposal to do so by assigning the national average of 1.0 to each GPCI
index for both Puerto Rico and the Virgin Islands. Thus, in calculating
weighted average PE GPCIs for non-contiguous areas, we only
incorporated PE GPCIs from Hawaii and Alaska.
Because stakeholders on the March 23, 2017 stakeholder call
indicated that deliveries make up a significant part of the costs when
furnishing items and services, we examined delivery driver wages as the
next source of cost data. The BLS OES provides delivery driver wage
data in the ``53-0000 Transportation and Material Moving Occupations''
occupation group. Specifically, we used the ``53-3033 Light Truck or
Delivery Services Drivers'' individual occupation wage index, which is
underneath the ``53-0000 Transportation and Material Moving
Occupations'' occupation group.
We used the median hourly wage from the ``53-3033 Light Truck or
Delivery Services Drivers'' individual occupation wage index as the
source of this delivery driver wage data. We used median hourly wage
values from the May 2016 Metropolitan and Nonmetropolitan Area
Occupational Employment and Wage Estimates.\23\
---------------------------------------------------------------------------
\23\ https://www.bls.gov/oes/tables.htm.
---------------------------------------------------------------------------
For this analysis, we used a similar methodology that we used for
the aforesaid PE GPCI analysis. We mapped each county to two areas: Its
corresponding delineation (CBA, non-CBA MSA, non-CBA micro area, or
non-CBA OCBSA), and its BEA Region. We then mapped counties to their
corresponding median hourly wage by using the May 2016 Metropolitan and
Nonmetropolitan Area Definitions provided by the BLS.\24\ In cases
where BLS did not have a median hourly delivery driver wage for a
particular county, we calculated and then assigned such counties the
median hourly delivery driver wage for that county's state (this was
the case for the following counties: Bradley County, Tennessee (TN);
Polk County, TN; Los Alamos County, New Mexico; Champaign County,
Illinois (IL); Piatt County, IL; Ford County, IL; Kankakee County, IL).
In order to come up with an hourly wage for each BEA Region and
delineation, we calculated the weighted average of the median hourly
wages for the counties within each area, basing the weighted average
off of each county's U.S. Census total resident 2010 population
numbers.
---------------------------------------------------------------------------
\24\ https://www.bls.gov/oes/current/msa_def.htm.
---------------------------------------------------------------------------
For New England states, the BLS assigns wages to New England city
and town areas (NECTAs) instead of metropolitan and non-metropolitan
areas that adhere to county boundaries, which the BLS does for every
other area outside of New England. An issue with assigning wages to
NECTAs is that there is not a one-to-one mapping of NECTAs to counties,
as the collection of townships in a NECTA may not completely cover a
county. This results in counties being represented in multiple NECTAs.
To address this issue, we mapped NECTAs to New England counties by
using the U.S. Census Bureau's ``NECTAs, NECTA divisions, and combined
NECTAs'' file that is based on OMB Bulletin No. 15-01 delineations.\25\
If a New England county had more than one NECTA, we calculated the
weighted average of each of its NECTAs' median hourly wages. We used
total population estimates from the 2016 ACS for the population
weighting (U.S. Census Bureau, 2012-2016 ACS 5-Year Estimates).
---------------------------------------------------------------------------
\25\ https://www.census.gov/geographies/reference-files/time-series/demo/metro-micro/delineation-files.html.
---------------------------------------------------------------------------
OMB set the standards for NECTAs in the notice published on June
28, 2010 in the Federal Register, titled ``2010 Standards for
Delineating Metropolitan and Micropolitan Statistical Areas'' (75 FR
37245). Based upon these standards, 10 counties in New England did not
have any towns or cities that qualified as NECTAs (Aroostook County,
Maine (ME); Caledonia County, Vermont (VT); Carroll County, New
Hampshire; Essex County, VT; Franklin County, ME; Knox County, ME;
Nantucket County, Massachusetts; Orleans County, VT; Washington County,
ME; and Windham County, (VT). We assigned delivery driver wages to
these 10 counties based upon which area each of these counties' seat
were located in the May 2016 Metropolitan and Nonmetropolitan Area
Definitions provided by BLS.\26\
---------------------------------------------------------------------------
\26\ NACo Analysis of U.S. Census Bureau, NACo Research, 2013.
---------------------------------------------------------------------------
We also used ACS data to examine real estate taxes. We analyzed
2016 data from the survey titled ``Mortgage Status by Median Real
Estate Taxes Paid (Dollars) Universe: Owner-occupied housing
units''.\27\ In this survey, ACS provides a median real estate tax for
each U.S. county, thus allowing us to use a similar methodology that we
used for the PE GCPIs and delivery driver wages. In order to come up
with a real estate tax value for each BEA Region and delineation, we
calculated the weighted average of the median real estate tax values
for the counties within each area, basing the weighted average off of
each county's U.S. Census total resident 2010 population numbers. It is
worth noting that the ACS measures real estate taxes paid on housing
units, not business units. However, similar to our reasoning above for
using residential rent data provided by the ACS as a proxy for
commercial rent, we believe the ACS is a valuable tool in measuring
geographic differences in cost, and are also using real estate taxes on
housing units as a proxy to measure taxes paid on business units.
---------------------------------------------------------------------------
\27\ U.S. Census Bureau, 2012-2016 American Community Survey 5-
Year Estimates.
---------------------------------------------------------------------------
In order to further examine costs, we also analyzed CPI data for
gas and utility prices. For each month in 2016, BLS released a CPI
detailed report with monthly prices for various data included in the
CPI.\28\ In order to analyze gas prices, we compiled the CPI detailed
report for every month in 2016, and calculated the annual average for
the values in the ``Gasoline All Types'' index of ``Table P3: Average
prices for gasoline, U.S. city average and selected areas'' of the CPI
detailed report. In order to analyze utility prices, we compiled the
CPI detailed report for every month in 2016, and calculated the annual
average for the values in ``Table P2: Average residential unit prices
and consumption ranges for utility (piped) gas and electricity for U.S.
city average and selected areas''. Specifically, we looked at the
``Average price per therm of utility (piped) gas'' and the ``Average
price per KWH of electricity'' index in the CPI report. As discussed
earlier in the preamble of this proposed rule, the Office Rent Index of
the PE GPCI
[[Page 34374]]
already includes utilities in its calculation, based on ACS residential
rent data. Nevertheless, we examined an additional source of utility
prices, in order to further examine any potential price trends.
---------------------------------------------------------------------------
\28\ https://www.bls.gov/cpi/cpi_dr.htm.
---------------------------------------------------------------------------
BLS separates prices in these tables based upon the following size
classes: A, B/C, and D. Size A represents metropolitan areas with a
population of over 1,500,000, size B/C represents mid-sized and small
metropolitan areas (population of 50,000 to 1,500,000), and size D
represents nonmetropolitan urban areas.\29\
---------------------------------------------------------------------------
\29\ https://www.bls.gov/opub/mlr/1996/12/art2full.pdf.
---------------------------------------------------------------------------
An issue with CPI size classes is that the CPI data cannot directly
map to every county and BEA Region in the U.S., unlike the previously
discussed cost data. This is because the CPI data is only available at
the national level, for a select number of metropolitan areas, and for
the four U.S. Census Bureau Regions.
However, the CPI sampled a total of 87 Primary Sampling Units
(PSUs) for the 2016 CPI, which are the smallest geographic areas in
which pricing is done for the CPI. Appendix 4 in Chapter 17 of the BLS
Handbook of Methods lists the 87 PSUs sampled in the 2016 CPI.\30\
Appendix 4 also lists the counties in these PSUs that the CPI sampled,
which totaled 425 counties and included counties in the contiguous and
non-contiguous U.S.
---------------------------------------------------------------------------
\30\ BLS Handbook of Methods. Chapter 17. The Consumer Price
Index. (Updated 06/2015).
---------------------------------------------------------------------------
We found that CBA counties made up the majority of size class A and
B/C, while non-CBA micro and OCBSA counties made up the majority of
size class D. The exact number can be found in Table 41, and the exact
percentages can be found in Table 42. In order to identify the
delineation of these counties and to be consistent with our previous
cost data analyses, we used the same reference materials that we used
for our previous cost data analyses: county and county equivalent names
from the 2010 U.S. Census, and county and county equivalent
delineations from OMB Bulletin No. 15-01.
It is worth noting that although the CPI data is from 2016, the
2016 CPI bases the counties and county equivalents and their size
classes off of the 1990 decennial Census and its Metropolitan Areas off
of OMB Bulletin No. 93-05.\31\ One implication of this is that counties
and county equivalents sampled in the 2016 CPI may have changed size
classes based upon their population numbers in the 2010 Census, and
their Metropolitan Area status in OMB Bulletin No. 15-01. Further,
CBSAs, micro areas, and OCBSAs were not a concept at the time in OMB
Bulletin No. 93-05. Additionally, the counties and county equivalents
that the CPI sampled were based off of the 1990 U.S. Census, meaning
that the CPI data would not reflect any substantial changes to counties
and county equivalent entities after 1990, as indicated by the U.S.
Census Bureau.\32\ However, most of the county and county equivalent
names that the CPI sampled remained the same or were similar to those
in the 2010 U.S. Census, allowing us to map the counties and county
equivalents listed in Appendix 4 of Chapter 17 of the BLS Handbook of
Methods to those in the 2010 U.S. Census. We also believe that this CPI
data is a valuable tool in examining price trends for gas and utilities
amongst differently sized areas with varying levels of urbanization.
Further, because we are able to know which counties the CPI sampled, we
are able to know which size classes have CBA and non-CBA counties, thus
allowing us to compare costs between CBAs and non-CBAs, making it
useful for our data purposes in fulfilling section 16008 of the Cures
Act.
---------------------------------------------------------------------------
\31\ https://www.bls.gov/opub/mlr/1996/12/art2full.pdf.
\32\ https://www.census.gov/geo/reference/county-changes.html.
Table 41--Number of Counties Sampled in 2016 CPI
----------------------------------------------------------------------------------------------------------------
Total number
Delineation Size A Size B/C Size D counties
----------------------------------------------------------------------------------------------------------------
CBA............................................. 235 86 1 322
Non-CBA MSA..................................... 26 46 3 75
Non-CBA Micro................................... 5 8 8 21
Non-CBA OCBSA................................... 1 0 6 7
---------------------------------------------------------------
Total number Counties....................... 267 140 18 425
----------------------------------------------------------------------------------------------------------------
Table 42--County Delineation Percentages for 2016 CPI
----------------------------------------------------------------------------------------------------------------
Delineation Size A % Size B/C % Size D %
----------------------------------------------------------------------------------------------------------------
CBA............................................................. 88.01 61.43 5.56
Non-CBA MSA..................................................... 9.74 32.86 16.67
Non-CBA Micro................................................... 1.87 5.71 44.44
Non-CBA OCBSA................................................... 0.37 0.00 33.33
-----------------------------------------------
Total....................................................... 100.00 100.00 100.00
----------------------------------------------------------------------------------------------------------------
b. Cost Data Results
We found that, on average, CBAs had higher costs than non-CBAs, for
most of the cost data that we examined. For instance, CBAs had the
highest average PE GPCI in every BEA Region, when compared to the non-
CBAs in each BEA Region. CBAs had the highest average driver wage in
all but one BEA Region (Rocky Mountain), when compared to the non-CBAs
in each Region. CBAs also had the highest average real estate tax in
every BEA Region, when compared to the non-CBAs in each BEA Region.
Typically, the ranking from highest to lowest cost delineation in
each BEA Region was the following: (1) CBA, (2) non-CBA MSA, (3) non-
CBA micro, and (4) non-CBA OCBSA. Thus, the more urbanized areas tended
to have higher costs than the less urbanized areas.
[[Page 34375]]
Additionally, we found that BEA Regions have different costs. We
arranged the 8 BEA Regions into two cost tiers, for each of the cost
data that we examined. The top tier included BEA Regions where costs
were, on average, the highest. The bottom tier included BEA Regions
where costs were, on average, the lowest. To be in the top tier, a BEA
Region had to have a value that was in the top 50 percent of all 8 BEA
Region values. To be in the bottom tier, a BEA Region had to have a
value that was in the bottom 50 percent of all 8 BEA Region values.
Overall, the Far West, Mideast, and New England Regions tended to be in
the top cost tier for most of the cost data sources that we examined.
The Far West Region was in the top cost tier most often, indicating
that its costs are amongst the highest out of the 8 BEA Regions.
The Far West, New England, Mideast, and Rocky Mountain BEA Regions
were in the top tier of average PE GPCI values in the 8 BEA Regions.
For instance, when looking at the average PE GPCI value for each of the
8 BEA Regions, these 4 BEA Regions' average PE GPCI values were in the
top 50 percent for every delineation. The bottom tier included the
Great Lakes, Southwest, Plains, and Southeast BEA Regions. They were
all in the bottom 50 percent of average PE GPCI values, for every
delineation.
When looking at the average delivery driver wage for each of the 8
BEA Regions, the Plains and Far West Regions' average driver wage were
in the top 50 percent for every delineation. New England, Mideast, and
Rocky Mountain were also a part of this top tier, yet alternated in and
out of the top 50 percent, depending on which delineation we examined.
The bottom tier for delivery driver wages included the Great Lakes,
Southwest, and Southeast BEA Regions.
For real estate taxes, the New England and Mideast BEA Regions had
significantly higher real estate taxes, on average, than every other
BEA Region, for each delineation. The BEA Regions of New England,
Mideast, Far West, and the Great Lakes were in the top 50 percent of
real estate taxes for every delineation. The BEA Regions of Southwest,
Plains, Southeast, and Rocky Mountain were in the bottom 50 percent of
real estate taxes for every delineation.
It is worth noting that we did not include non-contiguous areas in
the average values for the 8 BEA Regions, and instead counted non-
contiguous areas as their own type of area. In doing so, we found that
the average PE GPCI for non-contiguous delineations (in Alaska and
Hawaii) were higher than every other delineation in the 8 BEA Regions.
Additionally, the average driver wage for non-contiguous delineations
(in Alaska and Hawaii), were higher than every other delineation in the
8 BEA Regions, except for non-contiguous micro areas, which were only
lower than driver wages in the micro areas of the Rocky Mountain BEA
Region. When we included driver wages from Puerto Rico in the non-
contiguous average driver wage calculation (along with Alaska and
Hawaii), the Puerto Rico driver wages lowered the average non-
contiguous driver wages so that OCBSAs were then the only non-
contiguous delineation with a higher value than delineations in the 8
BEA Regions.
Lastly, there were certain non-CBA counties around the country that
had relatively high driver wages--driver wages that were higher than
that of CBA counties. These counties primarily were in the Plains,
Rocky Mountain, and Far West BEA Regions. Many of these non-CBA
counties with higher driver wages were either OCBSAs or micro areas.
However, many other OCBSA or micro counties elsewhere in the country
had relatively low driver wages. It is also worth noting that these
very same counties that had higher driver wages had relatively low PE
GPCI values and real estate taxes.
Table 43 shows the summary of these cost data results.
Table 43--Average Costs by BEA Region
----------------------------------------------------------------------------------------------------------------
Annual
Average residential
BEA region Delineation PE GPCI median driver real estate
wage per hour tax
----------------------------------------------------------------------------------------------------------------
Far West........................................ CBA 1.14 $15.79 $3,463.59
Far West........................................ MSA 1.03 15.11 2,413.43
Far West........................................ Micro 0.96 15.04 1,778.87
Far West........................................ OCBSA 0.96 15.06 1,663.85
Great Lakes..................................... CBA 0.97 14.77 3,338.46
Great Lakes..................................... MSA 0.92 14.08 2,322.51
Great Lakes..................................... Micro 0.87 13.19 1,629.62
Great Lakes..................................... OCBSA 0.86 12.85 1,491.14
Mideast......................................... CBA 1.11 15.92 5,245.05
Mideast......................................... MSA 0.96 13.92 3,132.32
Mideast......................................... Micro 0.89 12.97 2,102.79
Mideast......................................... OCBSA 0.89 13.46 2,208.62
New England..................................... CBA 1.10 16.49 4,725.59
New England..................................... MSA 1.02 14.88 3,739.11
New England..................................... Micro 1.00 14.02 4,065.67
New England..................................... OCBSA 0.93 13.17 2,317.18
Plains.......................................... CBA 0.98 16.20 2,408.32
Plains.......................................... MSA 0.90 14.45 2,049.21
Plains.......................................... Micro 0.87 13.34 1,489.76
Plains.......................................... OCBSA 0.84 13.52 1,160.55
Rocky Mountain.................................. CBA 1.00 15.28 1,658.02
Rocky Mountain.................................. MSA 0.93 14.60 1,506.69
Rocky Mountain.................................. Micro 0.93 16.09 1,428.58
Rocky Mountain.................................. OCBSA 0.88 15.64 1,047.09
Southeast....................................... CBA 0.97 14.47 1,821.26
Southeast....................................... MSA 0.90 13.19 1,094.17
Southeast....................................... Micro 0.84 12.38 787.18
Southeast....................................... OCBSA 0.83 12.12 624.88
Southwest....................................... CBA 0.97 14.38 2,643.70
[[Page 34376]]
Southwest....................................... MSA 0.91 13.42 1,698.48
Southwest....................................... Micro 0.87 12.96 1,054.82
Southwest....................................... OCBSA 0.85 12.66 915.76
----------------------------------------------------------------------------------------------------------------
Tables 44 through 46 summarize the data at the national contiguous
level and for non-contiguous areas.
Table 44--Average Costs for the Contiguous U.S.
----------------------------------------------------------------------------------------------------------------
Average Annual
median driver residential
Delineation PE GPCI wage per real estate
hour tax
----------------------------------------------------------------------------------------------------------------
CBA............................................................. 1.04 $15.24 $3,301.60
MSA............................................................. 0.93 13.95 1,943.28
Micro........................................................... 0.88 13.23 1,415.56
OCBSA........................................................... 0.85 12.95 1,083.05
----------------------------------------------------------------------------------------------------------------
Table 45--Average Costs for the Non-Contiguous U.S. (Alaska, Hawaii)
----------------------------------------------------------------------------------------------------------------
Average Annual
median driver residential
Delineation PE GPCI wage per real estate
hour tax
----------------------------------------------------------------------------------------------------------------
CBA (Honolulu, HI).............................................. 1.17 $15.35 $1,710.00
MSA............................................................. 1.11 19.12 2,863.27
Micro........................................................... 1.05 15.42 1,230.27
OCBSA........................................................... 1.09 21.65 1,600.30
----------------------------------------------------------------------------------------------------------------
Table 46--Average Costs for the Non-Contiguous U.S. (Alaska, Hawaii, and Puerto Rico)
----------------------------------------------------------------------------------------------------------------
Average Annual
median driver residential
Delineation PE GPCI wage per real estate
hour tax
----------------------------------------------------------------------------------------------------------------
CBA (Honolulu, HI).............................................. 1.17 $15.35 $1,710.00
MSA............................................................. 1.02 10.39 846.20
Micro........................................................... 1.04 13.33 958.94
OCBSA........................................................... 1.08 19.98 1,429.99
----------------------------------------------------------------------------------------------------------------
As discussed earlier, BLS separates certain CPI data based upon the
following size classes: A, B/C, and D. Size A represents metropolitan
areas with a population of over 1,500,000 people, size B/C represents
mid-sized and small metropolitan areas (population of 50,000 to
1,500,000), and size D represents nonmetropolitan urban areas.\33\ For
the gas and utility CPI data in Tables 50, 51, and 52, the typical
ranking was the following from highest to lowest price: (1) size class
A, (2) size class B/C, and (3) size class D. This is thus similar to
our other cost data summarized in Tables 43, 44, 45, and 46, in that
the more populated urban areas (size class A and B/C) tended to have
higher average costs than the less populated urban areas (size class
D). Additionally, CPI size classes with more CBA counties (size class A
and B/C) tended to have higher average costs than size classes with
more non-CBA counties (size class D). Thus, we conclude based off this
CPI data in Tables 47, 48, and 49, that CBAs generally have higher gas
prices and residential utility prices, on average, than non-CBAs.
---------------------------------------------------------------------------
\33\ https://www.bls.gov/opub/mlr/1996/12/art2full.pdf.
Table 47--Average Prices for Gasoline, U.S. City Average and Selected
Areas
[Per Gallon]
Gasoline all Types
------------------------------------------------------------------------
National
Urban area size class average 2016
------------------------------------------------------------------------
A....................................................... $2.296
B/C..................................................... 2.102
D....................................................... 2.128
------------------------------------------------------------------------
[[Page 34377]]
Table 48--Average Residential Unit Prices and Consumption Ranges for
Utility (Piped) Gas and Electricity for U.S. City Average and Selected
Areas
Average Price per KWH of Electricity
------------------------------------------------------------------------
National
Urban area size class average 2016
------------------------------------------------------------------------
A....................................................... $0.150
B/C..................................................... 0.125
D....................................................... 0.117
------------------------------------------------------------------------
Table 49--Average residential Unit Prices and Consumption Ranges for
Utility (Piped) Gas and Electricity for U.S. City Average and Selected
Areas
Average Price per Therm of Utility (Piped) Gas
------------------------------------------------------------------------
National
Urban area size class average 2016
------------------------------------------------------------------------
A....................................................... $0.949
B/C..................................................... 0.894
D....................................................... 0.829
------------------------------------------------------------------------
5. The Average Volume of Items and Services Furnished by Suppliers in
the Area Analysis
Section 16008 of the Cures Act mandates that we take into account a
comparison of the average volume of items and services furnished by
suppliers in CBAs and non-CBAs in making adjustments to fee schedule
amounts for items furnished on or after January 1, 2019, based on
information from the CBP. We found that in virtually all cases, the
average volume of items and services for suppliers when furnishing
those items to the various areas is higher in CBAs than non-CBAs. As
indicated in Table 50, the difference in volume is more pronounced as
the size of the area in terms of population declines.
Table 50--Allowed Services per Supplier in 2015 and 2016 for Items Subject to the Fee Schedule Adjustments
--------------------------------------------------------------------------------------------------------------------------------------------------------
Allowed Allowed
Allowed Suppliers services per Allowed Suppliers services per
Areas services serving area supplier services serving area supplier
(2015) (2015) (2015) (2016) (2016) (2016)
--------------------------------------------------------------------------------------------------------------------------------------------------------
CPAP & RADs
--------------------------------------------------------------------------------------------------------------------------------------------------------
CBAs.................................................... 9,140,617 4,091 2,234 10,634,486 4,064 2,617
Non-CBA MSAs............................................ 4,780,160 4,977 960 5,474,533 4,918 1,113
Non-CBA Rural........................................... 4,318,843 5,519 783 4,928,348 5,372 917
--------------------------------------------------------------------------------------------------------------------------------------------------------
Oxygen
--------------------------------------------------------------------------------------------------------------------------------------------------------
CBAs.................................................... 6,406,412 4,667 1,373 6,265,856 4,289 1,461
Non-CBA MSAs............................................ 3,766,780 4,883 771 3,662,808 4,548 805
Non-CBA Rural........................................... 4,521,374 5,325 849 4,420,783 5,036 878
--------------------------------------------------------------------------------------------------------------------------------------------------------
Nebulizers
--------------------------------------------------------------------------------------------------------------------------------------------------------
CBAs.................................................... 2,088,109 7,643 273 1,769,830 6,392 277
Non-CBA MSAs............................................ 1,132,972 6,167 184 1,032,926 5,742 180
Non-CBA Rural........................................... 1,372,641 7,002 196 1,267,774 6,509 195
--------------------------------------------------------------------------------------------------------------------------------------------------------
Standard Wheelchairs
--------------------------------------------------------------------------------------------------------------------------------------------------------
CBAs.................................................... 1,589,682 3,428 464 1,624,569 3,419 475
Non-CBA MSAs............................................ 652,588 4,687 139 658,504 4,451 148
Non-CBA Rural........................................... 600,098 5,441 110 609,432 5,190 117
--------------------------------------------------------------------------------------------------------------------------------------------------------
WC Accessories
--------------------------------------------------------------------------------------------------------------------------------------------------------
CBAs.................................................... 1,339,631 2,903 461 1,388,992 2,909 477
Non-CBA MSAs............................................ 431,487 3,505 123 456,145 3,388 135
Non-CBA Rural........................................... 334,264 4,093 82 355,364 3,938 90
--------------------------------------------------------------------------------------------------------------------------------------------------------
Hospital Beds
--------------------------------------------------------------------------------------------------------------------------------------------------------
CBAs.................................................... 791,371 2,814 281 781,486 2,707 289
Non-CBA MSAs............................................ 314,095 3,870 81 310,312 3,647 85
Non-CBA Rural........................................... 332,047 4,460 74 331,278 4,212 79
--------------------------------------------------------------------------------------------------------------------------------------------------------
Infusion Pumps
--------------------------------------------------------------------------------------------------------------------------------------------------------
CBAs.................................................... 741,236 1,320 562 641,192 1,329 482
Non-CBA MSAs............................................ 305,067 1,415 216 258,168 1,388 186
Non-CBA Rural........................................... 268,204 1,589 169 224,845 1,498 150
--------------------------------------------------------------------------------------------------------------------------------------------------------
Walkers
--------------------------------------------------------------------------------------------------------------------------------------------------------
CBAs.................................................... 466,112 3,558 131 465,134 3,722 125
Non-CBA MSAs............................................ 255,487 5,367 48 248,570 5,138 48
[[Page 34378]]
Non-CBA Rural........................................... 230,651 6,488 36 227,668 6,094 37
--------------------------------------------------------------------------------------------------------------------------------------------------------
Commode Chairs
--------------------------------------------------------------------------------------------------------------------------------------------------------
CBAs.................................................... 191,538 3,656 52 177,339 3,010 59
Non-CBA MSAs............................................ 69,232 3,193 22 67,323 2,838 24
Non-CBA Rural........................................... 63,932 3,845 17 61,175 3,483 18
--------------------------------------------------------------------------------------------------------------------------------------------------------
NPWT
--------------------------------------------------------------------------------------------------------------------------------------------------------
CBAs.................................................... 182,939 1,413 129 182,375 1,380 132
Non-CBA MSAs............................................ 86,421 1,371 63 87,326 1,347 65
Non-CBA Rural........................................... 76,583 1,565 49 79,939 1,532 52
--------------------------------------------------------------------------------------------------------------------------------------------------------
Patient Lifts
--------------------------------------------------------------------------------------------------------------------------------------------------------
CBAs.................................................... 161,975 2,450 66 156,168 2,223 70
Non-CBA MSAs............................................ 55,504 2,262 25 53,969 2,124 25
Non-CBA Rural........................................... 52,133 2,724 19 50,405 2,532 20
--------------------------------------------------------------------------------------------------------------------------------------------------------
Support Surfaces
--------------------------------------------------------------------------------------------------------------------------------------------------------
CBAs.................................................... 131,756 1,859 71 128,033 1,725 74
Non-CBA MSAs............................................ 51,675 2,186 24 50,267 2,113 24
Non-CBA Rural........................................... 47,302 2,665 18 47,402 2,519 19
--------------------------------------------------------------------------------------------------------------------------------------------------------
TENS
--------------------------------------------------------------------------------------------------------------------------------------------------------
CBAs.................................................... 119,135 1,164 102 53,695 1,031 52
Non-CBA MSAs............................................ 55,563 780 71 28,878 697 41
Non-CBA Rural........................................... 55,020 867 63 28,207 791 36
--------------------------------------------------------------------------------------------------------------------------------------------------------
Seat Lifts
--------------------------------------------------------------------------------------------------------------------------------------------------------
CBAs.................................................... 5,925 1,057 6 3,026 715 4
Non-CBA MSAs............................................ 3,774 927 4 2,652 746 4
Non-CBA Rural........................................... 6,032 1,326 5 4,439 1,151 4
--------------------------------------------------------------------------------------------------------------------------------------------------------
Complex Wheelchairs
--------------------------------------------------------------------------------------------------------------------------------------------------------
CBAs.................................................... 1,059 209 5 1,295 236 5
Non-CBA MSAs............................................ 581 176 3 618 199 3
Non-CBA Rural........................................... 420 140 3 544 171 3
--------------------------------------------------------------------------------------------------------------------------------------------------------
Notes: Complex wheelchairs include Group 2 complex rehabilitative power wheelchair bases.
One factor to consider is that as a supplier's volume increases,
the overall costs of furnishing those items also increases due to the
need to purchase more delivery vehicles, hire additional employees,
expand warehouse and office space, purchase additional office
equipment, additional use of gas and other utilities, etc.
Past stakeholder input and studies suggest that delivery costs and
wages affect a suppliers' overall costs more than equipment acquisition
costs and volume discounts. In 2006, Morrison Informatics, Inc.
conducted a study for the American Association for Homecare titled ``A
Comprehensive Cost Analysis of Medicare Home Oxygen Therapy'', which
used a survey of 74 oxygen suppliers to determine which factors are
more important in influencing oxygen suppliers' cost of furnishing
oxygen and oxygen equipment. The study concluded that equipment
acquisition only accounted for 28 percent of the cost of providing
medically necessary oxygen to Medicare beneficiaries. This study
concluded that services such as preparing and delivering equipment,
driving to the home to repair and maintain equipment, training and
educating patients, obtaining required medical necessity documentation,
customer service, and operating and overhead costs accounted for 72
percent of overall costs. Our data indicates that delivery, wages,
gasoline, utilities, office rental, and other overhead costs are lower
in non-CBAs than in CBAs, and the findings of the Morrison study
indicate that these costs represent a majority of the supplier's
overall cost.\34\
---------------------------------------------------------------------------
\34\ Morrison Informatics, Inc., A Comprehensive Cost Analysis
of Medicare Home Oxygen Therapy (Mechanicsburg, Pa.: June 27, 2006).
---------------------------------------------------------------------------
Table 2 from the Morrison study provided a breakdown of an oxygen
supplier's monthly cost per patient of $201.20 into seven components:
One for equipment cost; four for labor for various tasks; one for
delivery; and one for overhead, including rent and other facility
costs. Table 51 represents that table from the study.
[[Page 34379]]
Table 51--2006 Oxygen Supplier Cost Survey by Morrison Informatics, Inc
------------------------------------------------------------------------
Average cost
Cost component per- patient
per-month
------------------------------------------------------------------------
1. SYSTEM ACQUISITION \1\............................... $55.81
2. INTAKE AND CUSTOMER SERVICE \2\...................... 12.66
3. PREPARATION, RETURN, DISPOSABLES, AND SCHEDULED 25.24
MAINTENANCE \3\........................................
4. UNSCHEDULED REPAIRS AND MAINTENANCE \4\.............. 6.10
5. PATIENT ASSESSMENT, TRAINING, EDUCATION AND 17.54
MONITORING \5\.........................................
6. DELIVERY ASSOCIATED WITH PREPARATION, RETURN, 42.26
DISPOSABLES, AND SCHEDULED MAINTENANCE \6\.............
7. OTHER MONTHLY OPERATING AND OVERHEAD \7\............. 41.59
8. TOTAL DIRECT COST BEFORE TAXES....................... 201.20
------------------------------------------------------------------------
\1\ The amount includes acquisition costs for stationary, portable and
backup units, conserving devices, ancillary equipment and accessories,
and oxygen system contents (liquid and gaseous oxygen).
\2\ The amount includes labor associated with patient intake functions,
ongoing customer service (patient inquiries, scheduling of deliveries/
maintenance/clinical visits, accommodating patient travel plans), and
initial and renewal prescription processing.
\3\ The amount includes labor associated with equipment preparation
(testing, cleaning, and repair), equipment set-up and maintenance upon
return, initial patient instruction, cost of disposable and
maintenance supplies, and labor costs associated with scheduled
preventive equipment maintenance.
\4\ The amount includes labor and vehicle costs associated with
unscheduled equipment repair and maintenance.
\5\ The amount includes labor and travel costs associated with clinical
visits by respiratory care practitioner, in-home patient assessments
(including home environment safety assessment and oxygen therapy plan
of care), training, education and compliance monitoring.
\6\ The amount includes delivery costs associated with oxygen fills
(liquid and gaseous oxygen), preparation, return, disposables and
scheduled maintenance.
\7\ The amount includes rent and other facility costs, administration,
insurance, legal, regulatory compliance, MIS systems/controls,
communications systems, employee training, accreditation, supplies,
billing and compliance functions.
Table 52 combines the monthly costs from Table 2 of the Morrison
study into the major components of a DME supplier's costs: Equipment
cost; labor cost; delivery cost; and overhead.
Table 52--Dollar Cost Breakout for DME Supplier of Oxygen and Oxygen
Equipment
------------------------------------------------------------------------
Percentage of
Monthly average cost per Component total cost
beneficiary (percent)
------------------------------------------------------------------------
$55.81......................... Oxygen Equipment....... 28
61.54.......................... Combined Labor Costs... 30
42.26.......................... Delivery............... 21
41.59.......................... Overhead............... 21
201.20......................... Total Cost Per Month... 100
------------------------------------------------------------------------
The average volume of oxygen equipment furnished by suppliers in
CBAs is greater than the average volume of oxygen equipment furnished
by suppliers in non-CBAs, particularly rural areas, as shown previously
in Table 50. But volume discounts associated with bulk purchasing of
oxygen equipment, or the lack thereof, would only impact 28 percent of
the suppliers' total cost per month according to the Morrison study.
The Morrison study concludes that labor, delivery, and overhead costs
combined account for far more of the oxygen supplier's overall cost (72
percent) than the cost of the oxygen equipment (28 percent). Even if
the supplier received a 25 percent volume discount on the price of the
equipment from the manufacturer, reducing its monthly cost for the
equipment from $55.81 to $41.86, this savings would be more than
cancelled out if the supplier's labor, delivery, and overhead costs are
just 10 percent higher than the supplier in the area with lower costs
and lower volume. Also, as a supplier increases their volume, the costs
associated with labor, delivery, and overhead also increase
proportionally. The conclusion drawn from the Morrison study is that
although the average volume of oxygen and oxygen equipment furnished by
suppliers in the CBAs may be higher than the average volume of oxygen
and oxygen equipment furnished by suppliers in the non-CBA areas, this
factor alone does not mean that the overall costs of furnishing oxygen
and oxygen equipment in the CBAs is lower than the overall costs of
furnishing oxygen and oxygen equipment in the non-CBAs. Our data
indicates that the labor, delivery, and overhead costs of suppliers
furnishing oxygen and oxygen equipment in CBAs are higher than the
labor, delivery, and overhead costs of suppliers furnishing oxygen and
oxygen equipment in non-CBAs, and the Morrison study concludes that
these costs make up 72 percent of the oxygen supplier's overall costs.
6. Number of Suppliers Analysis
Section 16008 of the Cures Act mandates that we take into account a
comparison of the number of suppliers in CBAs and non-CBAs in making
adjustments to fee schedule amounts for items furnished on or after
January 1, 2019, based on information from the CBP. We examined data
regarding the number of suppliers serving the various CBAs and did not
find any correlation between number of suppliers and SPA or maximum
winning bid amount. We are not certain how much this factor might
affect costs in terms of competition for business or serving areas with
a limited number of suppliers, but it does not appear to have been a
factor under the competitive bidding program in terms of bids submitted
in the various CBAs.
Data for number of suppliers per area and product category did not
change significantly in 2016 from levels in 2015. There was at least a
double digit number of suppliers serving non-CBAs in almost every MSA,
micro area or other rural counties for items subject to the fee
schedule reductions. The number of suppliers in the non-CBAs decreased
by a little over 6 percent in 2016 overall, while volume per supplier
increased, suggesting a consolidation in
[[Page 34380]]
the number of locations serving the non-CBAs.
We believe that one of the most critical items subject to the fee
schedule adjustments in terms of beneficiary access is oxygen and
oxygen equipment. If access to oxygen and oxygen equipment is denied to
a beneficiary who needs oxygen, this can have serious health
implications. Oxygen and oxygen equipment is also an item that must be
delivered to the beneficiary and set up and used properly in the home
for safety reasons. Access to oxygen and oxygen equipment in remote
areas is critical and this has been stressed by stakeholders. To
determine if there were pockets of the country where access to oxygen
and oxygen equipment was in jeopardy, we looked at data showing how
many non-CBA counties are being served by only one oxygen supplier.
This data shows that these instances are extremely rare (35 counties
out of about 2,700 counties in 2016 and 2017) and that the suppliers
serving these counties are all accepting the fully adjusted fee
schedule amounts as payment in full 100 percent of the time. Of the 35
counties, 28 have only one beneficiary using oxygen, so only one
supplier could serve these counties at one time, meaning that there may
be other suppliers able to serve these areas as well if there were more
beneficiaries using oxygen in these areas. Also of note, 28 of these
counties are from Puerto Rico (25), Alaska (2), or the Virgin Islands
(1), and the suppliers for these non-contiguous areas are all accepting
the fully adjusted fee schedule amounts as payment in full 100 percent
of the time and are continuing to serve these areas.
7. Fee Schedule Adjustment Impact Monitoring Data
Regarding adverse beneficiary health outcomes, we have been
monitoring claims data from non-CBAs and it does not show any
observable trends indicating an increase in adverse health outcomes
such as mortality, hospital and nursing home admission rates, monthly
hospital and nursing home days, physician visit rates, or emergency
room visits in 2016, 2017, or 2018 compared to 2015 in the non-CBAs,
overall. In addition, we have been monitoring data on the rate of
assignment in non-CBAs and it remains high (over 99 percent) in most
areas, which reflects when suppliers are accepting Medicare payment as
payment in full and not balance billing beneficiaries for the cost of
the DME. We are, however, soliciting comments on ways to improve our
fee schedule adjustment impact monitoring data.
8. Summary of Our Findings
A brief summary of our general findings gathered in accordance with
section 16008 of the Cures Act are as follows:
Highest Winning Bid
Highest winning bids from Round 2 Recompete varied widely across
the CBAs and the variance does not appear to be based on any geographic
factor (that is, there is no pattern of maximum bid amounts for items
being higher in certain CBAs or regions of the country versus others).
Stakeholder Input
Stakeholders, most of which were suppliers, stated that the fully
adjusted fee schedule amounts are not sufficient to cover supplier
costs for furnishing items and services in non-CBAs. Stakeholders also
stated that the number of suppliers furnishing items in these areas
continues to decline, the average travel distance and cost for
suppliers serving rural areas are greater than the average travel
distance and cost for suppliers serving CBAs, and that the average
volume of services furnished by suppliers when serving non-CBAs are
lower than the average volume of services furnished by suppliers when
serving CBAs. Many commenters also stated that the adjusted fee
schedule amounts have caused or will cause beneficiary access issues,
and that beneficiaries are going without items and that this is causing
adverse health outcomes. Several commenters stated that they have
reduced the size of their service area due to the level of
reimbursement that they are receiving. Five commenters suggested that
the adjusted fee schedule amounts be based on maximum winning bids in
CBAs.
Distance
From our analysis presented in this rule, the average distance
traveled in CBAs is generally greater than in most non-CBAs. However,
when looking at certain non-CBA rural areas such as FAR, OCBSAs, and
super rural areas, suppliers generally must travel farther distances to
beneficiaries located in these areas than beneficiaries located in CBAs
and other non-CBAs.
Costs
Costs, on average, are higher in CBAs than they are in the non-
CBAs, for most of the cost data that we examined and presented in this
proposed rule.
Volume
Overall, suppliers in CBAs have significantly more volume than
suppliers in either non-CBA MSAs, micro areas, or OCBSAs, based on
claims data we examined and the analysis presented in this proposed
rule.
Number of Suppliers
The number of suppliers in the non-CBAs decreased by a little over
6 percent in 2016 overall, while volume per supplier increased,
suggesting a consolidation in the number of locations serving the non-
CBAs. Instances of beneficiaries located in areas being served by one
supplier were extremely rare, when looking at users of oxygen and
oxygen equipment, and were mostly in non-contiguous areas of the
country. The suppliers for these non-contiguous areas were all
accepting the fully adjusted fee schedule amounts as payment in full
100 percent of the time in 2016 and 2017. We also did not find any
correlation between number of suppliers and SPA or maximum winning bid
amount.
We are soliciting comments on these findings.
B. Current Issues
1. Proposed Fee Schedule Adjustments for Items and Services Furnished
in Non-Competitive Bidding Areas During a Gap in the DMEPOS CBP
As indicated in section V.D.2 of section V ``Changes to the Durable
Medical Equipment, Prosthetics, Orthotics, and Supplies (DMEPOS)
Competitive Bidding Program (CBP)'' of the proposed rule, we are
proposing to make changes to the DMEPOS CBP effective January 1, 2019.
The proposed changes to the CBP would be effective for competitions
beginning on or after January 1, 2019. The Round 2 Recompete, National
Mail-Order Recompete, and Round 1 2017 contract periods of performance
will end on December 31, 2018. Competitive bidding for items furnished
on or after January 1, 2019 has not yet begun, and therefore, we do not
expect that CBP contracts would be in place on January 1, 2019. Thus we
anticipate that there would be a gap in the CBP beginning January 1,
2019. During a gap in the CBP beginning January 1, 2019, there would be
no contract suppliers and payment for all items and services previously
included under the CBP would be based on the lower of the supplier's
charge for the item or fee schedule amounts adjusted in accordance with
sections 1834(a)(1)(F) and 1842(s)(3)(B) of the Act. We are proposing
specific fee schedule adjustments as a way to temporarily pay for items
and services in the event of a gap in the CBP due to CMS being unable
to timely recompete CBP contracts before the current
[[Page 34381]]
DMEPOS competitive bidding contract periods of performance end.
We are proposing three different fee schedule adjustment
methodologies depending on the area in which the items and services are
furnished: (1) One fee schedule adjustment methodology for DME items
and services furnished on or after January 1, 2019, in areas that are
currently CBAs in the event of a gap in the CBP; (2) another fee
schedule adjustment methodology for items and services furnished from
January 1, 2019, through December 31, 2020, in areas that are currently
not CBAs, are not rural areas, and are located in the contiguous United
States (U.S.); and (3) another fee schedule adjustment methodology for
items and services furnished from January 1, 2019, through December 31,
2020, in areas that are currently not CBAs and are either rural areas
or non-contiguous areas.
With regard to section 16008 of the Cures Act, we have taken the
information mandated by section 16008 of the Cures Act into account as
part of developing the proposed fee schedule adjustments for items and
services furnished on or after January 1, 2019 through December 31,
2020, in areas that are currently non-CBAs. Section 16008 of the Cures
Act first mandates that we take stakeholder input into account in
making fee schedule adjustments based on information from the DMEPOS
CBP for items and services furnished beginning in 2019. The information
we have collected includes input from many stakeholders indicating that
the fully adjusted fee schedule amounts are too low and that this is
having an adverse impact on beneficiary access to items and services
furnished in rural and remote areas. Industry stakeholders have stated
that the fully adjusted fee schedule amounts are not sufficient to
cover the supplier's costs, particularly for delivering items in rural,
remote areas. We are monitoring outcomes, assignment rates, and other
issues related to access of items and services such as changes in
allowed services and number of suppliers. We believe it is important to
continue monitoring these things before proposing a more long term fee
schedule adjustment methodology using information from the CBP. If fee
schedule amounts are too low, they could impact access and potentially
damage the businesses that furnish DMEPOS items and services. If fee
schedule amounts are too high, this increases Medicare program and
beneficiary costs unnecessarily. For these reasons, we believe that we
should proceed cautiously in developing fee schedule adjustment
methodologies for the short term that can protect access to items,
while we continue to monitor and gather data and information. We plan
to address fee schedule adjustments for items furnished on or after
January 1, 2021 in future rulemaking after we have continued to monitor
health outcomes, assignment rates, and other information.
Section 16008 of the Cures Act mandates that we take into the
account the highest amount bid by a winning supplier in a CBA. However,
as previously discussed in section VI.A.2 of this proposed rule, the
highest winning bids from Round 2 Recompete varied widely across the
CBAs and the variance does not appear to be based on any geographic
factor (that is, there is no pattern of maximum bid amounts for items
being higher in certain CBAs or regions of the country versus others).
Thus, we did not find any supporting evidence for the development of a
payment methodology for the non-CBAs based on the highest winning bids
in a CBA.
Section 16008 of the Cures Act mandates that we take into account a
comparison of the average travel distance and cost associated with
furnishing items and services in the area. We found that the average
travel distance and cost for suppliers in non-CBAs is generally lower
than the average travel distance and cost for suppliers in CBAs.
However, oftentimes costs in the non-contiguous areas of the U.S.,
particularly in Hawaii and Alaska, were higher than costs in the
contiguous areas of the U.S., for most of the cost data that we
examined and presented in this rule. As noted in section VI.A.1 of this
proposed rule, this was confirmed by one commenter who stated that non-
contiguous areas, such as Alaska and Hawaii, face unique and greater
costs due to higher shipping costs, a smaller amount of suppliers, and
more logistical challenges related to delivery. Additionally, from our
analysis presented in this rule, the average distance traveled in CBAs
is generally greater than in most non-CBAs. However, when looking at
certain non-CBA rural areas such as FAR, OCBSAs, and super rural areas,
suppliers, on average, must travel farther distances to beneficiaries
located in these areas than beneficiaries located in CBAs and other
non-CBAs. Thus, we believe this supports a payment methodology that
factors in the increased costs in non-contiguous areas, and the
increased travel distance suppliers face in reaching certain rural
areas.
Section 16008 of the Cures Act mandates that we take into account a
comparison of the average volume of items and services furnished by
suppliers in the area. We found that in virtually all cases, the
average volume of items and services for suppliers when furnishing
those items is higher in CBAs than non-CBAs. We believe this finding
supports a payment methodology that factors in and ensures beneficiary
access to items and services in non-CBAs with relatively low volume.
Finally, section 16008 of the Cures Act mandates that we take into
account a comparison of the number of suppliers in the area. According
to Medicare claims data, the number of supplier locations furnishing
DME items and services subject to the fee schedule adjustments
decreased by 22 percent from 2013 to 2016. In 2016 alone there was a
little over 6 percent decline from the previous year in the number of
DME supplier locations furnishing items and services subject to the fee
schedule adjustments. The magnitude of this decline in DME supplier
locations, from 13,535 (2015) to 12,617 (2016), indicates that the
number of DME supplier locations serving these areas continues to
decline. There has been a further reduction in supplier locations of 9
percent in 2017. We can attribute a certain percentage of this decline
in the number of suppliers to audit, investigation, and evaluations by
CMS and its contractors to enhance fraud and abuse controls to monitor
suppliers. Furthermore, we have noted in section VI.A.6 of this
proposed rule that instances of beneficiaries located in areas being
served by one supplier were extremely rare, when looking at users of
oxygen and oxygen equipment, and were mostly in non-contiguous areas of
the country. The suppliers for these non-contiguous areas were all
accepting the fully adjusted fee schedule amounts as payment in full
100 percent of the time in 2016 and 2017. Additionally, while the
number of suppliers in the non-CBAs decreased by a little over 6
percent in 2016 overall, volume per supplier increased, suggesting a
consolidation in the number of locations serving the non-CBAs. However,
we are still concerned about the potential beneficiary access issues
that might occur in more rural and remote areas based on this
consistent decline in number of suppliers. As such, out of an abundance
of caution, we believe that the consistent decline in number of
suppliers supports adjusting the fee schedule amounts in a way that
seeks to abate this declining trend and ensure access to items and
services for beneficiaries living in rural areas and other remote areas
such as Alaska,
[[Page 34382]]
Hawaii, Puerto Rico and other U.S. territories.
Based on the stakeholder comments, the higher costs for non-
contiguous areas, the increased average travel distance in certain
rural areas, the significantly lower average volume per supplier in
non-CBAs, especially in rural and non-contiguous areas, and the
decrease in the number of non-CBA supplier locations, we believe the
fee schedule amounts for items and services furnished from January 1,
2019 through December 31, 2020, in all areas that are currently rural
or non-contiguous non-CBAs, should be based on a blend of 50 percent of
the adjusted fee schedule amounts and 50 percent of the unadjusted fee
schedule amounts in accordance with the current methodologies under
paragraphs (1) through (8) of Sec. 414.210(g). We believe that since
the information from the CBP comes from bidding in non-rural areas only
and in all but one case in areas located in the contiguous U.S., that
full adjustments based on this information should not be applied to fee
schedule amounts for items and services furnished in rural and non-
contiguous areas on or after January 1, 2019. We believe that blended
rates can help ensure beneficiary access to needed DME items and
services in rural, remote and non-contiguous areas and better account
for the differences in costs for these areas versus more densely
populated areas. We believe the fee schedule amounts for items and
services furnished from January 1, 2019 through December 31, 2020, in
all areas that are currently non-CBAs, but are not rural or non-
contiguous areas, should be based on 100 percent of the adjusted fee
schedule amounts in accordance with the current methodologies under
paragraphs (1) through (8) of Sec. 414.210(g). Although the average
volume of items and services furnished by suppliers in non-rural non-
CBAs is lower than the average volume of items and services furnished
by suppliers in CBAs, the travel distances and costs for these areas
are lower than the travel distances and costs for CBAs. Because the
travel distances and costs for these areas are lower than the travel
distances and costs for CBAs, we believe the fully adjusted fee
schedule amounts are sufficient. However, we request specific comments
on the issue of whether the 50/50 blended rates should apply to these
areas as well.
In the event that the proposal outlined in section V ``Changes to
the Durable Medical Equipment, Prosthetics, Orthotics, and Supplies
(DMEPOS) Competitive Bidding Program (CBP)'', to change the method for
calculating SPAs under the CBP is finalized and SPAs under future
competitions are calculated based on maximum winning bids rather than
the median of winning bids, this change in payments under the CBP may
warrant further changes to the fee schedule adjustment methodologies
under Sec. 414.210(g)(1) through (8). We would address further changes
to the fee schedule adjustment methodologies in future rulemaking.
In summary, based on stakeholder input, the higher costs for
suppliers in non-contiguous areas, the longer average travel distance
for suppliers furnishing items in certain rural areas, the
significantly lower average volume that most non-CBA suppliers furnish,
and the decrease in the number of non-CBA supplier locations, we are
proposing to revise Sec. 414.210(g)(9) and to adjust the fee schedule
amounts for items and services furnished in rural and non-contiguous
non-CBAs by extending through December 31, 2020, the current
methodology which bases the fee schedule amounts on a blend of 50
percent of the adjusted fee schedule amounts and 50 percent of the
unadjusted fee schedule amount in accordance with the current
methodologies under paragraphs (1) through (8) of Sec. 414.210(g). We
are proposing to adjust the fee schedule amounts for items and services
furnished in non-rural and contiguous non-CBAs from January 1, 2019
through December 31, 2020, using the current methodologies under
paragraphs (1) through (8) of Sec. 414.210(g). We plan to continue
monitoring health outcomes, assignment rates, and other information and
would address fee schedule adjustments for all non-CBAs for items
furnished on or after January 1, 2021, in future rulemaking.
2. Proposed Fee Schedule Adjustments for Items and Services Furnished
in Former Competitive Bidding Areas During a Gap in the DMEPOS CBP
In the event of a future gap in the CBP due to CMS being unable to
timely recompete contracts under the program before the DMEPOS
competitive bidding contract periods of performance end, we are
proposing a fee schedule adjustment methodology that would be used to
adjust the fee schedules for items and services that are currently
subject to and included in competitive bidding programs. We believe
that a fee schedule adjustment methodology for items and services
furnished during a gap in the CBP in areas that were included in the
CBP should result in rates comparable to the rates that would otherwise
be established under the CBP in order to maintain the level of savings
that would otherwise be achieved if the CBP was in effect. We are
proposing a specific fee schedule adjustment methodology for items and
services furnished within former CBAs in accordance with sections
1834(a)(1)(F) and 1834(a)(1)(G) of the Act. Specifically, we propose to
add a new paragraph (10) under Sec. 414.210(g) that would establish a
methodology for adjusting fee schedule amounts paid in areas that were
formerly CBAs during periods when there is a temporary lapse in the
CBP. We propose to adjust the fee schedule amounts for items and
services furnished in former CBAs based on the SPAs in effect in the
CBA on the last day before the CBP contract periods of performance
ended, increased by the projected percentage change in the CPI for all
Urban Consumers (CPI-U) for the 12-month period on the date after the
contract periods ended (for example, January 1, 2019). If the gap in
the CBP lasts for more than 12 months, the fee schedule amounts are
increased once every 12 months on the anniversary date of the first day
after the contract period ended based on the projected percentage
change in the CPI-U for the 12-month period ending on the anniversary
date.
We also propose to revise paragraph (4) under Sec. 414.210(g), so
that it does not conflict with the proposed new paragraph (10), by
revising the first sentence in paragraph (4) to read: ``In the case
where adjustments to fee schedule amounts are made using any of the
methodologies described, other than paragraph (g)(10) of this section,
if the adjustments are based solely on single payment amounts from
competitive bidding programs that are no longer in effect, the single
payment amounts are updated before being used to adjust the fee
schedule amounts.''
With regard to payment for non-mail order diabetic testing
supplies, section 1834(a)(1)(H) of the Act mandates that payment for
non-mail order diabetic testing supplies be equal to the SPAs
established under the national mail order competition for diabetic
testing supplies. We believe that as of January 1, 2019, we must
continue payment for non-mail order diabetic supplies at the current
SPA rates. These SPA rates would not be updated by inflation adjustment
factors and would remain in effect until new SPA rates are established
under the national mail order program. We do not believe that this
statutory provision would cease to apply in situations where there is a
gap in the national mail order competitions for diabetic testing
supplies; and therefore, we will continue to use the SPAs for mail
order diabetic testing supplies as the payment amounts for
[[Page 34383]]
non-mail order diabetic testing supplies in the event that there is a
gap in the CBP.
We seek comments on these proposals.
C. Provisions of the Proposed Rule
We are proposing to revise the fee schedule adjustment methodology
at Sec. 414.210(g)(9) so that for items and services furnished in non-
CBAs that are rural or non-contiguous areas with dates of service from
January 1, 2019, through December 31, 2020, the fee schedule amount for
the area is equal to 50 percent of the adjusted payment amount
established under this section and 50 percent of the unadjusted fee
schedule amount. We are proposing to revise the fee schedule adjustment
methodology at Sec. 414.210(g)(9) so that for items and services
furnished in non-CBAs that are not rural or non-contiguous areas with
dates of service from January 1, 2019, through December 31, 2020, the
fee schedule amount for the area is equal to 100 percent of the
adjusted payment amount established under this section.
We also propose a methodology for adjusting the fee schedule
amounts for items and services that are currently subject to
competitive bidding furnished in former CBAs in the event of a lapse in
the DMEPOS CBP. We propose to create a new paragraph (10) under Sec.
414.210(g) titled ``Payment Adjustments for Items and Services
Furnished in Former Competitive Bidding Areas During Temporary Gaps in
the DMEPOS CBP'' that has the following text underneath: ``During a
temporary gap in the entire DMEPOS CBP and/or National Mail Order CBP,
the fee schedule amounts for items and services that were competitively
bid and furnished in areas that were competitive bidding areas at the
time the program(s) was in effect are adjusted based on the SPAs in
effect in the competitive bidding areas on the last day before the CBP
contract period of performance ended, increased by the projected
percentage change in the Consumer Price Index for all Urban Consumers
(CPI-U) for the 12-month period ending on the date after the contract
periods ended. If the gap in the CBP lasts for more than 12 months, the
fee schedule amounts are increased once every 12 months on the
anniversary date of the first day of the gap period based on the
projected percentage change in the CPI-U for the 12-month period ending
on the anniversary date.''
Finally, with regard to payment for non-mail order diabetic testing
supplies in the event of a gap in the CBP, payment would continue at
the SPA rates for mail order diabetic testing supplies as mandated by
section 1834(a)(1)(H) of the Act. We would pay for non-mail order
diabetic supplies at the current SPA rates until new rates are
established under the national mail order program.
VII. New Payment Classes for Oxygen and Oxygen Equipment and
Methodology for Ensuring Annual Budget Neutrality of the New Classes
A. Background
The Medicare payment rules for durable medical equipment are set
forth in section 1834(a) of the Act and 42 CFR part 414, subpart D of
our regulations. In general, Medicare payment for DME items and
services paid on a fee schedule basis is equal to 80 percent of the
lower of either the actual charge or the fee schedule amount for the
item. The beneficiary coinsurance is equal to 20 percent of the lower
of either the actual charge or the fee schedule amount for the item.
General payment rules for DME are set forth in section 1834(a)(1) of
the Act and Sec. 414.210 of our regulations, and Sec. 414.210 also
contains paragraphs relating to maintenance and servicing of items and
replacement of items. Specific payment rules for oxygen and oxygen
equipment are set forth in section 1834(a)(5) of the Act and Sec.
414.226 of our regulations. The average monthly payment to suppliers
serving beneficiaries with a prescribed flow rate of greater than 4
liters per minute in 2006 was approximately $299.76. Before the
enactment of the Deficit Reduction Act of 2005 (DRA), these monthly
payments continued for the duration of use of the equipment, provided
that Medicare Part B coverage and eligibility criteria were met.
Medicare covers three types of oxygen delivery systems: (1) Stationary
or portable oxygen concentrators, which concentrate oxygen in room air;
(2) stationary or portable liquid oxygen systems, which use oxygen
stored as a very cold liquid in cylinders and tanks; and (3) stationary
or portable gaseous oxygen systems, which administer compressed oxygen
directly from cylinders. There is also transfilling equipment that
takes oxygen from concentrators and fills up small portable gaseous
tanks. Both liquid and gaseous oxygen systems require delivery of
oxygen contents. Concentrators and transfilling systems do not require
delivery of oxygen contents. Medicare payment for furnishing oxygen and
oxygen equipment is made on a monthly basis and the fee schedule
amounts vary by State.
Effective January 1, 2006, section 5101(b) of the DRA amended
section 1834(a)(5) of the Act, limiting the monthly payments for oxygen
equipment to 36 months of continuous use. The limit of 36 months of
payment also applies to cases where there is an oxygen flow rate of
greater than 4 liters per minute. The DRA mandated that payment for the
delivery of oxygen contents continue after the 36-month cap on payments
for oxygen equipment. At this time, Medicare already had an established
fee schedule amount or payment class for oxygen contents only for
beneficiaries who owned the stationary and/or portable oxygen
equipment. The monthly payment for oxygen contents for beneficiaries
who purchased oxygen equipment prior to 1989 included payment for
delivery of both stationary and portable contents and was approximately
$156 on average in 2006. CMS implemented section 1834(a)(5) of the Act,
as amended by section 5101 of the DRA, in the final rule published on
November 9, 2006 in the Federal Register, titled ``Home Health
Prospective Payment System Rule Update for Calendar Year 207 and
Deficit Reduction Act of 2005 Changes to Medicare Payment for Oxygen
Equipment and Capped Rental Durable Medical Equipment'', (71 FR 65884).
As part of this rule, we amended Sec. 414.226 by adding a new
paragraph (c) and separate payment classes for: Oxygen generating
portable equipment (OGPE) consisting of portable oxygen concentrators
and transfilling equipment that met the patient's portable oxygen needs
without relying on the delivery of oxygen contents; stationary oxygen
contents after the 36-month rental period; and portable oxygen contents
after the 36-month rental period. With the addition of the new class
for OGPE, rather than receiving the standard monthly add-on payment of
$31.79 for portable oxygen equipment, we established a higher amount of
$51.63 per month for this new technology as opposed to furnishing
portable gaseous or liquid oxygen equipment, which continued to be paid
at the lower add-on payment rate of $31.79 per month.
Section 1834(a)(9)(D) of the Act provides the authority to create
separate classes of oxygen and oxygen equipment. Section
1834(a)(9)(D)(ii) of the Act mandates that new, separate classes of
oxygen and oxygen equipment be budget neutral; the Secretary may
establish new classes for oxygen and oxygen equipment only if the
establishment of such classes does not result in expenditures for any
year that are less or more than the expenditures which would have been
made had the
[[Page 34384]]
classes not been established. It is important to stress that the budget
neutrality requirement in section 1834(a)(9)(D)(ii) of the Act applies
regardless of whether fee schedule amounts are adjusted based on
information from the DMEPOS CBP. As long as suppliers continue to get
paid more for OGPE than they would otherwise be paid had the OGPE class
not been established, a methodology must be employed to ensure that
payments or expenditures overall are budget neutral. Since 2008, in
accordance with our regulations at Sec. 414.226(c), CMS has ensured
budget neutrality each year by determining how much expenditures
increased as a result of the higher paying OGPE class and reducing the
monthly payment amount for stationary oxygen equipment and oxygen
contents by a certain percentage to offset the increase in payments
attributed to the higher amount paid for OGPE. Stakeholders have argued
that the budget neutrality requirement should no longer apply in
situations where the fee schedule amounts for oxygen and oxygen
equipment, including the fee schedule amounts for OGPE, are adjusted
based on information from the DMEPOS CBP. However, as long as the add-
on payment amounts for OGPE are higher than the add-on payment amounts
that would otherwise have been made for portable oxygen equipment in
general, a budget neutrality offset is needed to ensure the OGPE class
does not result in total expenditures for any year which are more or
less than the expenditures which would have been made if the payment
class had not been established.
As of January 1, 2018, the average adjusted fee schedule monthly
add-on amount for OGPE was $40.08 and for portable gaseous and liquid
oxygen equipment was $18.20. Either of these monthly add-on amounts is
added to the average adjusted fee schedule monthly payment for
stationary oxygen equipment and oxygen contents which was $72.95. We
note that if the fee schedule amounts for oxygen and oxygen equipment
are adjusted based on information from the DMEPOS CBP, and these
adjustments result in the fees for OGPE being lower than the add-on
payment amounts that would otherwise have been made for portable oxygen
equipment in general, a positive rather than a negative budget
neutrality offset would be needed to ensure that total expenditures for
any year are not more or less than the expenditures which would have
been made if the payment class had not been established.
B. Provisions of the Proposed Rule
1. Adding a Portable Liquid Oxygen Equipment Class
The current payment classes for oxygen and oxygen equipment are
included in Sec. 414.226(c), and include: (i) Stationary oxygen
equipment (including stationary concentrators) and oxygen contents
(stationary and portable); (ii) Portable equipment only (gaseous or
liquid tanks); (iii) OGPE only; (iv) Stationary oxygen contents only;
and (v) Portable oxygen contents only.
As explained earlier in the preamble, the add-on payment for OGPE
is higher than the add-on payment for portable gaseous and liquid
equipment. OGPE provides advantages for beneficiaries in that they do
not need to rely on the delivery of oxygen contents, in contrast to
beneficiaries using portable gaseous or liquid equipment. The OGPE
systems are also more lightweight and therefore allow for greater
ambulation for beneficiaries who cannot carry or push heavier
equipment. Since adding the higher paying OGPE class, utilization of
this equipment has doubled, use of portable gaseous equipment declined
slightly, while use of portable liquid equipment dropped significantly
and now accounts for only 2 percent of utilization of portable oxygen
equipment. Although portable liquid oxygen equipment does not eliminate
the need for delivery of oxygen contents, it is a more lightweight
system like OGPE and promotes ambulation in beneficiaries. It is also
more expensive than portable gaseous equipment to suppliers,
beneficiaries, and the Medicare program. The higher payments and
incentives for furnishing OGPE have in essence created a disincentive
to furnish portable liquid equipment.
This proposed rule would amend our regulations at Sec. 414.226 by
using the authority at section 1834(a)(9)(D) to add separate payment
classes for portable gaseous oxygen equipment only and portable liquid
oxygen equipment only. Instead of having one class for portable oxygen
equipment only (gaseous and liquid tanks), we propose splitting this
class into two classes and increasing the add-on amount for portable
liquid oxygen equipment. We propose establishing the initial add-on
amounts for portable liquid oxygen equipment so that they are equal to
the add-on amounts for OGPE, thus reducing the incentive to furnish
OGPE over portable liquid oxygen equipment. The add-on payment amounts
would be adjusted in the future based on pricing information from the
DMEPOS CBP. As explained above, section 1834(a)(9)(D)(ii) of the Act
mandates that these new classes be annually budget neutral; however, we
do not expect this change to result in a dramatic increase in the use
of portable liquid oxygen equipment, and so we do not believe the
budget neutrality offset would be significant.
Suppliers furnishing oxygen and oxygen equipment in a CBA under the
DMEPOS CBP must furnish portable liquid oxygen equipment in any case
where a beneficiary starting a new 36-month period of continuous use
for oxygen and oxygen equipment requests portable liquid oxygen
equipment. This is because all of the HCPCS codes describing the
different types of oxygen and oxygen equipment are items included in
the respiratory equipment product category under the DMEPOS CBP and
Sec. 414.422(e)(1) requires that that a contract supplier agree to
furnish items under its contract to any beneficiary who maintains a
permanent residence in, or who visits, the CBA and who requests those
items from that contract supplier. However, suppliers in non-CBAs are
not required to furnish portable liquid oxygen equipment even if a
beneficiary requests such equipment from a supplier, which is why we
believe it is important to eliminate any disincentives for furnishing
this modality that may result because of higher payments for OGPE.
Thus, we believe that adding the portable liquid oxygen equipment class
and adding a provision to the regulations that would ensure that the
payment amount for portable liquid oxygen equipment is the same as OGPE
would encourage suppliers to furnish this modality when it is requested
by beneficiaries.
2. Adding a Liquid High-Flow Oxygen Contents Class
As explained above, the statute allows a 50 percent volume
adjustment add-on payment to suppliers for furnishing oxygen and oxygen
equipment to beneficiaries with a prescribed oxygen flow rate of more
than 4 liters per minute. This provides additional payment for
equipment and/or delivery of additional contents necessary to meet the
needs of beneficiaries who are prescribed a large quantity of oxygen.
However, this add-on payment is tied to the payment for stationary
equipment, which is capped after 36 months of continuous use. Certain
oxygen concentrators are capable of meeting the high flow needs of some
beneficiaries and continue to be available after the 36-month cap on
payments for oxygen equipment. In addition, transfilling machines can
be used to fill multiple lightweight portable canisters and continue to
be available after the 36-
[[Page 34385]]
month cap on payments for oxygen equipment.
Section 1834(a)(5)(F)(ii)(II) of the Act requires that Medicare
continue to make monthly payments for the delivery and refilling of
oxygen contents for the period of medical need after 36 months of
continuous use. Currently, there are two classes for oxygen contents
(gaseous and liquid), one for stationary oxygen contents and the other
for portable oxygen contents--see Sec. 414.226(iv) and (v). In a
limited number of cases where a patient is ambulatory and is prescribed
a very high flow rate of oxygen (generally greater than 6 liters per
minute), a portable liquid oxygen system is the only modality that
would meet their high flow, portable oxygen needs. In order to better
ensure that these beneficiaries have access to the portable liquid
oxygen contents necessary to meet their high flow needs, we propose to
add a new separate class for ``portable liquid oxygen contents only for
prescribed flow rates of more than 4 liters per minute.''
We propose to establish the initial fee schedule amounts for
portable liquid oxygen contents for prescribed flow rates of more than
4 liters per minute by multiplying the fee schedule amounts for
portable oxygen contents by 1.5 to increase the payment amount by 50
percent above the payment amount for portable oxygen contents. Like the
other classes of oxygen and oxygen equipment, the fee schedule amounts
for this class would be adjusted in the future based on pricing
information from the DMEPOS CBP. As explained above, section
1834(a)(9)(D)(ii) of the Act mandates that this new class be annually
budget neutral; however, we expect that this change will have a very
minimal impact on expenditures due to the limited number of
beneficiaries who require a high flow rate for oxygen and can still
ambulate. Therefore, we do not believe the budget neutrality offset
needed would be significant.
Table 53 compares the current classes of oxygen and oxygen
equipment and the proposed classes of oxygen and oxygen equipment.
Table 53--Current and Proposed Oxygen and Oxygen Equipment Classes
------------------------------------------------------------------------
Current oxygen and oxygen equipment: 5 Proposed oxygen and oxygen
classes described in 414.226 equipment: 7 classes
------------------------------------------------------------------------
Stationary oxygen equipment (including Stationary oxygen equipment
stationary concentrators) and oxygen (including stationary
contents (stationary and portable). concentrators) and oxygen
contents (stationary and
portable).
Portable equipment only (gaseous or Portable gaseous equipment
liquid tanks). only.
Portable liquid equipment only.
Oxygen generating portable equipment Oxygen generating portable
only.. equipment only.
Stationary oxygen contents only........ Stationary oxygen contents
only.
Portable oxygen contents only.......... Portable gaseous and liquid
oxygen contents only except
for portable liquid oxygen
contents for prescribed flow
rates greater than four liters
per minute.
Portable liquid oxygen contents
only for prescribed flow rates
greater than four liters per
minute.
------------------------------------------------------------------------
3. Applying Budget Neutrality Offset to All Oxygen and Oxygen Equipment
Classes
In accordance with section 1834(a)(9)(D)(ii) of the Act, the fee
schedule amounts for the oxygen and oxygen equipment classes are set in
a budget neutral manner for each oxygen and oxygen equipment HCPCS
code. The budget neutrality offset necessary to maintain the separate
class for OGPE has been exclusively applied to the stationary oxygen
equipment fee schedule amount as indicated in Sec. 414.226(c)(6). We
propose to change Sec. 414.226(c)(6) and the methodology for applying
the budget neutrality offset, in addition to adding the two new oxygen
and oxygen equipment classes proposed above. Rather than applying the
budget neutrality offset to the payment for stationary equipment and
oxygen contents only, we propose to apply the budget neutrality offset
to all oxygen and oxygen equipment classes and HCPCS codes beginning
January 1, 2019. To implement our proposal, a budget neutrality offset
shall be applied to all HCPCS codes for oxygen equipment and oxygen
contents, thereby lowering the amount of the offset applied
specifically to payments for stationary oxygen. We consider applying
the budget neutrality offset to all oxygen classes instead of just the
stationary oxygen equipment class to be more equitable in that it would
not just lower payments for suppliers of stationary oxygen equipment
(some of which may never furnish OGPE), but would spread the budget
neutrality offset more equitably across all classes and codes for
oxygen and oxygen equipment. Table 54 is an example of the fee schedule
amounts when the budget neutrality offset is applied only to the
stationary oxygen equipment rate versus applying the budget neutrality
offset to all oxygen classes. This particular example depicts fully
adjusted fee schedule amounts, including budget neutrality adjustments,
for oxygen and oxygen equipment furnished in non-rural areas in the
Southeast U.S.
Table 54--January 1, 2018 Fees for Current and Proposed Budget Neutrality Methods
----------------------------------------------------------------------------------------------------------------
Current method 2018 rate Proposed method 2018 rate
----------------------------------------------------------------------------------------------------------------
Stationary oxygen equipment (including $70.23 Stationary oxygen equipment $72.59
stationary concentrators) and oxygen (including stationary
contents (stationary and portable). concentrators) and oxygen
contents (stationary and
portable).
Portable equipment only (gaseous or liquid 17.29 Portable gaseous equipment only. 16.04
tanks).
Portable liquid equipment only.. 34.73
Oxygen generating portable equipment only.... 37.44 Oxygen generating portable 34.73
equipment only.
Stationary oxygen contents only.............. 53.32 Stationary oxygen contents only. 49.46
[[Page 34386]]
Portable oxygen contents only................ 53.32 Portable gaseous and liquid 49.46
oxygen contents only with the
exception of portable liquid
contents greater than four
liters per minute.
Portable liquid contents only 74.19
greater than four liters per
minute.
----------------------------------------------------------------------------------------------------------------
We solicit comments on these provisions.
VIII. Payment for Multi-Function Ventilators
A. Background
Section 1834(a) of the Act governs payment for DME covered under
Part B and under Part A for a home health agency and provides for the
implementation of a fee schedule payment methodology for DME furnished
on or after January 1, 1989. Sections 1834(a)(2) through (a)(7) of the
Act set forth separate payment categories of DME and describe how the
fee schedule amounts for items under each of the categories are
established. More importantly, the payment rules for these categories
are different and in some cases mutually exclusive. Table 55 provides a
summary of the payment categories, corresponding payment methodology,
and statutory and regulatory sections. The main payment categories are:
Inexpensive or other routinely purchased items, items requiring
frequent and substantial servicing, customized items, oxygen and oxygen
equipment, and other items of DME (capped rental). Some differences in
the payment rules for the payment categories arise, for example, where
sections 1834(a)(2), (4), (6), and (7) of the Act allow for the lump
sum purchase of certain items paid under these categories, while
sections 1834(a)(3) and (5) of the Act do not allow for lump sum
purchase of items in those categories. Also, sections 1834(a)(2), (5),
and (7) of the Act cap or limit total rental payments for items paid
under these categories, whereas section 1834(a)(3) does not. With
regard to rented items, section 1834(a)(7) of the Act mandates
beneficiary ownership of the item after 13 months of continuous rental,
whereas sections 1834(a)(2), (3), and (5) do not require transfer of
ownership to the beneficiary. Finally, section 1834(a)(3) of the Act
mandates that payment for covered items such as ventilators and
intermittent positive pressure breathing machines be made on a monthly
basis for the rental of the item, whereas ventilators that are either
continuous positive airway pressure devices or intermittent assist
devices with continuous positive airway pressure devices are excluded
from section 1834(a)(3) of the Act. Respiratory assist devices, suction
pumps (aspirators), and nebulizers fall under section 1834(a)(7) of the
Act.
Table 55--Summary of DME Equipment Payment Categories and Rules
------------------------------------------------------------------------
Payment category Payment rules
------------------------------------------------------------------------
Inexpensive or other routinely Purchase price of $150 or less, OR
purchased items--section were routinely purchased (75
1834(a)(2) of the Act percent of the time or more) under
the rent/purchase program prior to
1989, OR are speech generating
devices, OR are accessories used in
conjunction with nebulizers,
aspirators, continuous positive
airway pressure devices,
respiratory assist devices, or
speech generating devices. If
covered, these items can be
purchased new or used and can be
rented; however, total payments
cannot exceed the purchase new fee
for the item. See 42 CFR 414.220.
Items requiring frequent and Items, such as ventilators,
substantial servicing--section requiring frequent and substantial
1834(a)(3) of the Act servicing, in order to avoid risk
to the patient's health. If
covered, these items can be rented
as long as they are medically
necessary with the supplier
retaining ownership of the
equipment. Payment is generally
made on a monthly rental basis with
no cap on the number of rental
payments made as long as medically
necessary. Excludes CPAP devices,
respiratory assist devices, suction
pumps/aspirators, and nebulizers.
See 42 CFR 414.222.
Customized items--section Payment amounts are not calculated
1834(a)(4) of the Act for a customized DME item.
Customized DME is defined at 42 CFR
414.224, including customized
wheelchairs. If covered, payment is
made in a lump-sum amount for the
purchase of the item based on the
DME Medicare Administrative
Contractor (MAC), Part A MAC, or
Part B MAC's individual
determination. See 42 CFR 414.224.
Oxygen and oxygen equipment-- One bundled monthly rental payment
section 1834(a)(5) of the Act amount is made, not to exceed a 36
month cap, for all covered
stationary equipment, stationary
and portable contents, and all
accessories used in conjunction
with the oxygen equipment. An add-
on payment may also be made for
portable oxygen. After 36 months,
payment can continue to be made on
a monthly basis for oxygen contents
for liquid or gaseous oxygen
equipment. Payment for in-home
maintenance and servicing of
supplier-owned oxygen concentrators
and transfilling equipment may be
made every 6 months, beginning 6
months after the 36 month rental
cap, for any period of medical need
for the remainder of the reasonable
useful lifetime of the equipment (5
years). See 42 CFR 414.226.
Other Covered Items (Other than Payment under a lump sum purchase.
DME)--section 1834(a)(6) of the
Act
Other items of DME (capped rental Monthly rental payment amount is
items)--section 1834(a)(7) of the made not to exceed a 13 month cap
Act at which point the beneficiary
takes over ownership of the
equipment. Complex rehabilitative
power wheelchairs can be purchased
in the first month of use. For
capped rental items other than
power wheelchairs, the payment
amount is calculated based on 10
percent of the base year purchase
price for months 1 through 3.
Beginning with the fourth month,
the payment amount is equal to 7.5
percent of the purchase price. For
power wheelchairs, the rental
payment amount is calculated based
on 15 percent of the base year
purchase price for months 1 through
3. Beginning with the fourth month,
the fee schedule amount is equal to
6 percent of the purchase price.
See 42 CFR 414.229.
------------------------------------------------------------------------
[[Page 34387]]
The Medicare allowed amount for DMEPOS items and services paid on a
fee schedule basis is equal to the lower of the supplier's actual
charge or the fee schedule amount. The Medicare payment amount for a
DME item is generally equal to 80 percent of the lesser of the actual
charge or the fee schedule amount for the item, less any unmet Part B
deductible. The beneficiary coinsurance for such items is generally
equal to 20 percent of the lesser of the actual charge or the fee
schedule amount for the item once the deductible is met.
B. Current Issues
Concerns have been raised by the manufacturer of a multi-function
ventilator about how the separate payment categories set forth at
sections 1834(a)(2) through (a)(7) of the Act would apply to a new type
of ventilator, which consists of a ventilator base item classified
under section 1834(a)(3) of the Act, but can also perform the function
of portable oxygen equipment classified under the payment categories in
sections 1834(a)(5), and the functions of a nebulizer, a suction pump,
and a cough stimulator classified under paragraph (7) of section
1834(a) of the Act. For example, a new product was recently cleared by
the Food and Drug Administration (FDA) as a ventilator, but can also
function as a portable oxygen concentrator, nebulizer, suction pump
(aspirator), and cough stimulator. The multi-function ventilator
assists with serving multiple, different medical needs of beneficiaries
with diagnoses such as chronic lung disease, cystic fibrosis, ALS, and
muscular dystrophy. As shown in Table 56, separate DME items perform
each of these functions, and the DME items that perform these functions
have already been assigned separate HCPCS codes and payment amounts
under the DMEPOS fee schedule. Currently, HCPCS codes E0465 and E0466
are denoted for a home ventilator item, any type, used with either an
invasive interface (for example, tracheostomy tube) or non-invasive
interface (for example, mask, chest shell). Portable oxygen
concentrators are identified using a combination of codes E1390 plus
E1392.
Table 56--Functions, Payment Category, and HCPCS for Functions of a
Multi-Function Ventilator
------------------------------------------------------------------------
HCPCS code Function Payment category
------------------------------------------------------------------------
E0465 or E0466.............. Ventilator.......... Items requiring
frequent and
substantial
servicing.
E1390 and E1392............. Portable Oxygen Oxygen and oxygen
Concentrator. equipment.
E0570....................... Nebulizer........... Capped rental items.
E0600....................... Suction Pump........ Capped rental items.
E0482....................... Cough Stimulator.... Capped rental items.
------------------------------------------------------------------------
We noted other concerns while considering how to categorize and pay
for the multi-function ventilator. One concern is that a patient may
not need all of the functions that the new multi-function ventilator
performs, and there are different Medicare medical necessity coverage
criteria for each of the five different functions typically performed
by five different pieces of equipment. In addition, another concern we
have is while section 1847(a)(2)(A) of the Act mandates the
implementation of competitive bidding for covered items, the only items
that comprise the multi-function ventilator that have been phased into
the DMEPOS CBP at this time are portable oxygen concentrators and
nebulizers. As a result, in CBAs, only contract suppliers can furnish
portable oxygen concentrators or nebulizers to beneficiaries in these
areas, whereas non-contract suppliers can furnish ventilators, suction
pumps, and cough stimulators in these same areas. The current
competitive bid product categories do not include a single item,
furnished by one supplier, which performs the functions of five
separate items, as the multi-function ventilator does. Upon
determination that the multi-function ventilator is a covered item
within the meaning of section 1834(a)(13) of the Act and its payment
category, the multi-function ventilator item can be eligible for
inclusion in a CBP along with other ventilator items.
To address these concerns, we reviewed the payment rules for
ventilators. Section 1834(a)(1)(C) of the Act indicates that subsection
(a) of section 1834 is the exclusive payment rule for these items;
however, this subsection does not specifically set forth a payment
category for DME items that are capable of performing the functions of
other items that can be classified under the multiple, different
payment categories and accompanying rules under sections 1834(a)(2)
through (7) of the Act. Similarly, the regulations at 42 CFR 414.220
through 42 CFR 414.229 and program instructions currently do not
address payment for the multi-function ventilator's additional
functions. In addition, there is no guidance or criteria regarding how
to determine which function of a new multi-function item should
determine the payment category for the entire multi-function item.
Furthermore, because the supplier is only furnishing one item and the
patient may not need more than one of the functions/features for the
duration of time the item is used by the patient, we do not believe
payment should be established by summing the current separate payment
amounts for each function (ventilators, oxygen concentrators,
nebulizers, suction pumps, and cough stimulators) to determine the fee
schedule amount for the integrated multi-function item.
We believe we should classify multi-function ventilators in the
frequent and substantial servicing payment category under section
1834(a)(3) of the Act and address payment for these ventilators that
can perform multiple functions. The information we gathered during our
review supports our proposal to classify these items under the frequent
and substantial servicing payment category at section 1834(a)(3) of the
Act. Multi-function ventilators are classified by the FDA as
ventilators, instead of oxygen concentrators, nebulizers, suction
pumps, or cough stimulators. We believe that section 1834(a)(1)(C) of
the Act requires that DME be classified into one of the payment
categories in section 1834(a)(2) through (7) of the Act. We believe
that by classifying these items under section 1834(a)(3) of the Act and
not under sections 1834(a)(2), (4), (5), (6), or (7) of the Act, that
only the rules under section 1834(a)(3) would apply to these items. We
believe this is appropriate and propose to establish fee schedule
amounts for multi-function ventilators based on the current Medicare
fee schedule amounts for ventilators plus an additional amount for the
average cost of the various additional functions or features the
equipment offers (oxygen concentration, drug nebulization, respiratory
airway suction, and cough stimulation). This is
[[Page 34388]]
similar to how fee schedule amounts have been established for other DME
items in the past, such as using the average of allowed charges for
underarm crutches with shock absorbers and allowed charges for underarm
crutches without shock absorbers to establish the fee schedule amounts
for underarm crutches with or without shock absorbers (HCPCS code
E0116), or using the average of allowed charges for walkers with a
fixed height and allowed charges for walkers with an adjustable height
to establish the fee schedule amounts for walkers with or without
adjustable heights (HCPCS codes E0130 through E0143).
C. Provisions of the Proposed Rule
Based on our review, we are proposing to add a provision to the
regulation at Sec. 414.222(f) to establish a payment methodology for
multi-function ventilators effective for dates of service on or after
January 1, 2019. We believe that our proposal complies with the
Medicare payment rules for DME in section 1834(a) of the Act, while
recognizing and encouraging innovations in technology such as multi-
function ventilators. These devices can enhance patient care and
promote ambulation by eliminating the need for the patient to be
tethered to several pieces of equipment. We propose that multi-function
ventilators be classified under section 1834(a)(3) of the Act. Items
classified under section 1834(a)(3) of the Act are paid on a continuous
monthly rental basis. We are interested in receiving comments on
alternatives to the approach we are taking regarding the proposed
classification and payment of multi-function ventilators.
We propose to establish the monthly rental fee schedule amounts for
a multi-function ventilator based on the existing monthly rental fee
schedule amounts for ventilators plus payment for the average cost of
the additional functions. Under this proposal, a single monthly rental
fee schedule amount shall be paid to encompass the base ventilator item
and its additional functional components as follows.
The monthly rental fee schedule amount for a multi-
function ventilator is equal to the monthly rental fee schedule amount
for a ventilator established in Sec. 414.222(c) and (d) plus the
average of the lowest monthly cost for one additional function and the
monthly cost of all additional functions, increased by the annual
coverage item updates of section 1834(a)(14) of the Act.
The monthly cost for additional functions shall be
determined as follows:
[cir] For functions performed by items classified under Sec.
414.222 prior to 1994 the monthly cost is equal to the monthly rental
fee schedule amount established in paragraphs (c) and (d) of this
section increased by the covered item update of section 1834(a)(14) of
the Act.
[cir] For functions performed by items classified under Sec.
414.220, the monthly cost is equal to the fee schedule amount for
purchased equipment established in Sec. 414.220(c), (d), (e), and (f),
adjusted in accordance with Sec. 414.210(g), divided by 60 months or
total number of months of the reasonable useful lifetime of the
equipment. There are currently no multi-function ventilators on the
market that perform the function for items classified under Sec.
414.220.
[cir] For functions performed by items classified under Sec.
414.226 for oxygen equipment, the monthly cost is equal to the monthly
payment amount established in Sec. 414.226(e), (f), and (g), adjusted
in accordance with Sec. 414.210(g), multiplied by 36 and divided by 60
months or total number of months of the reasonable useful lifetime of
the oxygen equipment.
[cir] For functions performed by items classified under Sec.
414.229 for cough stimulator, the monthly cost is equal to the purchase
price established in Sec. 414.229(c), adjusted in accordance with
Sec. 414.210(g), divided by 60 months or total number of months of the
reasonable useful lifetime of the equipment.
Table 57--Proposed Payment Method for Multi-Function Ventilators
[Example]
------------------------------------------------------------------------
Step Method HCPCS codes
------------------------------------------------------------------------
(1)................... Base amount = E0465 or E0466
ventilator monthly
rental fee schedule
amount.
(2)................... Determine monthly ........................
rental fee schedule
amount for each
additional function:
(a)............... (Portable Oxygen E1392 + E1390
Concentrator monthly
fee schedule amount x
36 months)/60 months
*.
(b)............... CY 1993 Nebulizer E0570
monthly rental fee
schedule amount x
covered item update
factor for DME to CY
2019 **.
(c)............... CY 1993 Suction Pump E0600
monthly rental fee
schedule amount x
covered item update
factor for DME to CY
2019 **.
(d)............... (Cough Stimulator E0482
newly purchased fee
schedule amount)/60
months *.
(3)................... Base amount from Step
1 + lowest cost
function amount from
Step 2.
(4)................... Base amount from Step
1 + all function
amounts from Step 2.
(5)................... Determine Payment for
Multi-function
ventilator (average
of step 3 and 4).
------------------------------------------------------------------------
* 5 year (60 months) reasonable useful lifetime of the equipment.
** The monthly rental amounts paid prior to 1994 included payment for
the equipment and all related accessories.
Medicare coverage and payment can be available for multi-function
ventilators furnished to beneficiaries who are prescribed a multi-
function ventilator and meet the Medicare medical necessity coverage
criteria for a ventilator and at least one of the four additional
functions of the device. The fee schedule amount for the multi-function
ventilator would be determined in advance for each calendar year and
would not vary regardless of how many additional functions the
beneficiary needs in addition to the ventilator function. We are
proposing that the payment amount would be established for CY 2019 and
then updated each year after 2019 using the covered item update factors
mandated by section 1834(a)(14) of the Act. In the event that a patient
is furnished a multi-function ventilator and only meets the Medicare
medical necessity coverage criteria for a ventilator, Medicare coverage
and monthly rental payments would be for the ventilator only, and
payment could not be made for the other functions of the device.
We are proposing a payment method that we believe ensures an
integration of the functions of the multi-function ventilator with a
bundled corresponding payment amount that addresses additional
functions of the items that are necessary for patient care. If a
[[Page 34389]]
beneficiary is furnished a multi-function ventilator, payment would be
denied for any separate claims for oxygen and oxygen equipment,
nebulizers and related accessories, suction pumps and related
accessories, and cough stimulators and any related accessories. Thus,
our proposal prevents division of the multi-function item into separate
parts with separate fee schedule amounts for each function of the item,
some of which have conflicting payment rules. Also, this proposed
payment method lessens confusion for the supplier which could occur if
the supplier were to receive varying monthly rental amounts for a
multi-function item and instead permits a supplier to receive
predictable monthly payments over the 60 month reasonable useful
lifetime of the multi-function ventilator.
We are not proposing Sec. 414.222(f) to apply to other DME items.
Subsequent rulemaking would be necessary to address other multi-
function items.
We are soliciting comments on this proposal.
IX. Including the Northern Mariana Islands in Future National Mail
Order CBPs
A. Background
In our CY 2015 ESRD PPS final rule (79 FR 66223 through 66265), we
said that while section 1847(a)(1)(A) of the Act provides that CBPs be
established throughout the U.S., the definition of U.S. at section
210(i) of the Act does not include the Northern Mariana Islands. We
therefore previously determined that the Northern Mariana Islands are
not considered an area eligible for inclusion under a national mail
order CBP. We finalized a proposal regarding fee schedule adjustments
based on information from the national mail order program and the
Northern Mariana Islands at Sec. 414.210(g)(7) to provide that the fee
schedule amounts for mail order items furnished in the Northern Mariana
Islands are adjusted so that they are equal to 100 percent of the
single payment amounts (SPAs) established under a national mail order
program. We discussed how a few commenters recommended waiting for the
second round of bidding for the national mail order CBP before
adjusting the fee schedule amounts for mail order items furnished in
the Northern Mariana Islands in order to allow more time to determine
if the competitive bidding payment amounts allow for access to items
and services and to acquire more pricing points over an extended period
of time. The commenters further recommended increasing payment amounts
for the national mail order SPA for the Northern Mariana Islands to
limit any access or pricing complications. In response, we said we
disagreed with these suggestions, and that the national mail order SPAs
already applied to items shipped to various remote areas of the U.S.
and have not resulted in any problems with access to mail order items
in these areas. Therefore, we believed the SPAs could be used to adjust
the mail order fee schedule amounts for the Northern Mariana Islands
effective January 1, 2016.
B. Current Issues
The national mail order program for diabetic testing supplies is
currently in effect in all areas of the U.S., except for the Northern
Mariana Islands. Thus, the Northern Mariana Islands are currently the
only non-CBA for mail order diabetic testing supplies. However, even
though the Northern Mariana Islands are currently not included in the
national mail order program, per Sec. 414.210(g)(7), CMS currently
pays for mail order items furnished in the Northern Mariana Islands at
100 percent of the SPAs established under the national mail order CBP.
After further examining this issue, it is now our view that the
Northern Mariana Islands are an area eligible for inclusion under a
national mail order CBP. A Joint Resolution addressing the Northern
Mariana Islands titled ``Covenant to Establish a Commonwealth of the
Northern Mariana Islands in Political Union with the United States of
America'' was approved in 1976 (Pub. L. 94-241 (HJRes 549), 90 Stat
263, March 24, 1976). The Joint Resolution addresses the applicability
of certain federal laws to the Northern Mariana Islands. Article V
(``Applicability of Laws''), section 502(a) specifies:
``The following laws of the United States in existence as of the
effective date of this Section and subsequent amendments to such laws
will apply to the Northern Mariana Islands, except as otherwise noted
in this Covenant: (1) Those laws which provide federal services and
financial assistance programs and the federal banking laws as they
apply to Guam;''
Thus, under the Joint Resolution, laws which provide federal
services and financial assistance apply to the Northern Mariana Islands
to the same extent as they do to Guam. CMS has recognized the Joint
Resolution and taken the position that the Northern Mariana Islands
fall within the definition of U.S. under Medicare in 42 CFR 411.9(a).
In a proposed rule published on April 25, 2006, in the Federal Register
titled ``Medicare Program; Proposed Changes to the Hospital Inpatient
Prospective Payment Systems and Fiscal Year 2007 Rates'', (71 FR
23996), we discussed the Joint Resolution and defined the U.S. to
include the 50 States, the District of Columbia, Puerto Rico, the
Virgin Islands, Guam, American Samoa, and the Northern Mariana Islands.
The Northern Mariana Islands are also included in the definition of
U.S. at 42 CFR 400.200. Thus, even though the Northern Mariana Islands
are not explicitly referenced in sections 1861(x) and 210(h) and (i)
(which notably do reference Guam) of the Act, we believe that we can
consider the Northern Mariana Islands to be part of the U.S. for the
purposes of the national mail order program as well.
As such, we propose to amend Sec. 414.210(g)(7) to say that
beginning on or after the date that the Northern Mariana Islands are
included under a national mail order CBP, the fee schedule adjustment
methodology under this paragraph would no longer apply. Under this
proposed rule, the Northern Mariana Islands would be included in the
CBA for all competitions under the national mail order CBP beginning on
or after January 1, 2019.
We are soliciting comments on this proposal.
C. Provisions of the Proposed Rule
We propose to amend Sec. 414.210(g)(7) to indicate that beginning
on or after the date that the Northern Mariana Islands are included
under a national mail order competitive bidding program, the fee
schedule adjustment methodology under this paragraph would no longer
apply.
We are soliciting comments on this proposal.
X. Request for Information on the Gap-Filling Process for Establishing
Fees for New DMEPOS Items
In general, the statute mandates that fee schedule amounts
established for DME, prosthetics and orthotics and other items be based
on average payments made previously under the reasonable charge payment
methodology. The criteria for determining reasonable charges are at 42
CFR 405.502. For example, the exclusive payment rule at sections
1834(a)(2), (3), (8), and (9) of the Act mandates that the fee schedule
amounts for DME generally be based on average reasonable charges from
1986 and/or 1987, increased by annual covered item update factors.
Since section 1834(a)(1)(C) of the Act mandates that
[[Page 34390]]
this be the exclusive payment rule for DME, as section 1834(h)(1)(D) of
the Act does for prosthetic devices, prosthetics and orthotics, CMS is
required to establish fee schedule amounts for these items based on the
amounts and levels established under the reasonable charge payment
periods set forth in the statute (that is, July 1, 1986 through June
30, 1987, for prosthetic devices, prosthetics and orthotics,
therapeutic shoes, and most DME items).
Because there may be DMEPOS items that come on the market that were
not paid for by Medicare during the reasonable charge payment periods
that the statute mandates be used for establishing the fee schedule
amounts for these items, we establish the fee schedule amounts for
newly covered items using a ``gap-filling'' process. The gap-filling
process allows Medicare to establish fee schedule amounts that align
with the statutory basis for the DMEPOS fee schedule. We essentially
fill the gap in the data due to the lack of historic reasonable charge
payments from 1986 and 1987 by estimating what the historic reasonable
charge payments would have been for the items. As described in section
60.3 of chapter 23 of the Medicare Claims Processing Manual (Pub. L.
100-04), CMS gap-fills by using fees for comparable equipment or prices
from supplier price lists, such as mail order catalogs. The gap-filling
process only applies to items not assigned existing HCPCS codes that
are also not items that previously were paid for under a HCPCS code
that was either deleted or revised, in other words truly new items or
technology as opposed to recoded/reclassified or technologically
refined items or technology. This gap-filling process can result in fee
schedule amounts that greatly exceed the cost to suppliers of the new
technology items (such as when inflated prices from a manufacturer were
used as a proxy for supplier price lists under past gap-filling
exercises) or do not cover the costs of furnishing the technology if
the comparable items used for gap-filling purposes are less expensive
than the new item.
We are considering if changes should be made to the gap-filling
process for establishing fees for newly covered DMEPOS items paid on a
fee schedule basis. We are soliciting comments for information on how
the gap-filling process could be revised in terms of what data sources
or methods could be used to estimate historic allowed charges for new
technologies in a way that satisfies the exclusive payment rules for
DMEPOS items and services, while preventing excessive overpayments or
underpayments for new technology items and services.
XI. DMEPOS CBP Technical Amendments
A. Background
Medicare pays for certain DMEPOS items and services furnished
within competitive bidding areas based on the payment rules that are
set forth in section 1847 of the Social Security Act (the Act) and 42
CFR part 414, subpart F. We propose to make two minor technical
amendments to correct the existing DMEPOS CBP regulations in 42 CFR
414.422 published in the Federal Register on November 6, 2014, titled
``Medicare Program; End-Stage Renal Disease Prospective Payment System,
Quality Incentive Program, and Durable Medical Equipment, Prosthetics,
Orthotics, and Supplies; Final Rule'' (79 FR 66120) and in Sec.
414.423 in a final rule published in the Federal Register on November
29, 2010, titled ``Medicare Program; Payment Policies Under the
Physician Fee Schedule and Other Revisions to Part B for CY 2011; Final
Rule'' (75 FR 73169).
B. Proposed Technical Amendments
We are proposing to make minor technical amendments as follows:
In Sec. 414.422, we propose to correct the numbering in
section (d)(4), which contains subsections (i) through (vi), but omits
(ii) in the numbering sequence. This error was made when the regulation
was promulgated. The proposed new numbering in section (d)(4) contains
subsections (i) through (v), including (ii). The content of (d)(4)
would remain the same.
In Sec. 414.423(i)(8), we propose removing the reference
to ``42 U.S.C.'' before Title 18. This statutory citation was
inadvertently included when the regulation was promulgated.
We solicit public comments on these technical amendments and
request that when commenting on this section, commenters reference
``DMEPOS CBP Proposed Technical Amendments.''
XII. Burden Reduction on Comorbidities
A. Background
In the CY 2011 ESRD PPS final rule (75 FR 49094), we finalized six
comorbidity categories that are eligible for a comorbidity payment
adjustment, each with associated International Classification of
Diseases (ICD) Clinical Modification diagnosis codes (75 FR 49100).
Beginning January 1, 2011, these categories included three acute,
short-term diagnostic categories (pericarditis, bacterial pneumonia,
and gastrointestinal tract bleeding with hemorrhage) and three chronic
diagnostic categories (hereditary hemolytic anemia (including sickle
cell anemia), myelodysplastic syndrome, and monoclonal gammopathy).
We stated in the same rule (75 FR 49099) that we would require ESRD
facilities to have documentation in the patient's medical/clinical
record to support any diagnosis recognized for a payment adjustment,
utilizing specific criteria that we issued in sub-regulatory guidance,
specifically the Medicare Benefit Policy Manual, Pub. 100-02, Chapter
11, Section 60.A.5 (https://www.cms.gov/Regulations-and-Guidance/Guidance/Manuals/downloads/bp102c11.pdf). For example, to qualify for
the pericarditis comorbidity adjustment, at least two of the four
following criteria must be met: Atypical chest pain; pericardial
friction rub; suggestive electrocardiogram changes (for example,
widespread ST segment elevation with reciprocal ST segment depressions
and PR depressions) not previously reported; and new or worsening
pericardial effusion. In response to such requirements, stakeholders
have suggested it would require additional testing or procedures to
document a comorbidity, which was not our intent. Rather, our
assumption was that the patient's diagnosing physician would provide
the documentation. In the CY 2011 ESRD PPS final rule (75 FR 49104), we
stated that ESRD facilities will obtain diagnostic information through
increased communication with their patients, their patient's
nephrologists and their patient's families. If there is no
documentation in the medical record, the ESRD facility would be unable
to claim a comorbidity payment adjustment for that patient, but could
seek payment through the outlier mechanism.
In the CY 2012 ESRD PPS final rule (76 FR 70252), we clarified that
the ICD-9-CM codes eligible for the comorbidity payment adjustment are
subject to the annual ICD-9-CM coding updates that occur in the
hospital Inpatient Prospective Payment System final rule and are
effective October 1st of each year. We explained that any updates to
the ICD-9-CM codes that affect the categories of comorbidities and the
diagnoses within the comorbidity categories that are eligible for a
comorbidity payment adjustment would be communicated to ESRD facilities
through sub-regulatory guidance. We update the list of eligible
diagnosis codes on an annual basis and communicate these changes
through the CMS.gov website.
[[Page 34391]]
In the CY 2016 ESRD PPS final rule (80 FR 68989 through 68990), in
consideration of stakeholder concerns about the burden associated with
meeting the documentation requirements for bacterial pneumonia, we
finalized the elimination of the case-mix payment adjustment for the
comorbidity categories of bacterial pneumonia and monoclonal gammopathy
beginning in CY 2016.
B. Proposed Documentation Requirements
In the CY 2018 ESRD PPS proposed rule (82 FR 31224), we published a
request for information (RFI) related to improvements to the health
care delivery system that reduce unnecessary burdens for clinicians,
other providers, and patients and their families and invited the public
to submit their ideas for regulatory, sub-regulatory, policy, practice,
and procedural changes to better accomplish these goals. The aim of the
RFI was to request information that would lead to increased quality of
care, lower costs, improved program integrity, and to make the health
care system more effective, simple and accessible.
After a review of the comments received in response to the RFI, we
have determined that the documentation requirements associated with the
conditions that are eligible for the comorbidity payment adjustment
should be revisited. We have heard from stakeholders that they continue
to face challenges in obtaining the required documentation in order to
report specific diagnosis codes and obtain the comorbidity payment
adjustments. Additionally, we have determined that the ESRD PPS
documentation requirements are more rigorous than the documentation
requirements under other CMS payment systems that generally rely on the
ICD Official Guidelines.
In order to reduce burden on ESRD facilities and provide consistent
policy across Medicare payment systems, we are proposing to reduce the
documentation requirements necessary for justification of the
comorbidity payment adjustment. Specifically, we would no longer
require that ESRD facilities obtain results from specific diagnostic
tests in order to qualify for a comorbidity payment adjustment.
Instead, we propose to rely on the guidelines established by the
Official ICD Guidelines for Coding and Reporting. This proposal does
not preclude the requirement for ESRD facilities to maintain clear
documentation in the beneficiary's medical record used to justify the
reporting of diagnosis codes, which is also necessary for adherence to
ICD Guidelines. Documentation required to meet ICD guidelines continues
to be required for purposes of the adjustment.
We are soliciting comment on this proposal.
XIII. Requests for Information
This section addresses two requests for information (RFIs). Upon
reviewing the RFIs, respondents are encouraged to provide complete, but
concise responses. These RFIs are issued solely for information and
planning purposes; neither RFI constitutes a Request for Proposal
(RFP), application, proposal abstract, or quotation. The RFIs do not
commit the U.S. Government to contract for any supplies or services or
make a grant award. Further, CMS is not seeking proposals through these
RFIs and will not accept unsolicited proposals. Responders are advised
that the U.S. Government will not pay for any information or
administrative costs incurred in response to this RFI; all costs
associated with responding to these RFIs will be solely at the
interested party's expense. Failing to respond to either RFI will not
preclude participation in any future procurement, if conducted. Please
note that CMS will not respond to questions about the policy issues
raised in these RFIs. CMS may or may not choose to contact individual
responders. Such communications would only serve to further clarify
written responses. Contractor support personnel may be used to review
RFI responses. Responses to these RFIs are not offers and cannot be
accepted by the U.S. Government to form a binding contract or issue a
grant. Information obtained as a result of this RFI may be used by the
U.S. Government for program planning on a non-attribution basis.
Respondents should not include any information that might be considered
proprietary or confidential. All submissions become U.S. Government
property and will not be returned. CMS may publically post the comments
received, or a summary thereof.
A. Request for Information on Promoting Interoperability and Electronic
Healthcare Information Exchange Through Possible Revisions to the CMS
Patient Health and Safety Requirements for Hospitals and Other
Medicare- and Medicaid-Participating Providers and Suppliers
Currently, Medicare- and Medicaid-participating providers and
suppliers are at varying stages of adoption of health information
technology (health IT). Many hospitals have adopted electronic health
records (EHRs), and CMS has provided incentive payments to eligible
hospitals, critical access hospitals (CAHs), and eligible professionals
who have demonstrated meaningful use of certified EHR technology
(CEHRT) under the Medicare EHR Incentive Program. As of 2015, 96
percent of Medicare- and Medicaid-participating non-Federal acute care
hospitals had adopted certified EHRs with the capability to
electronically export a summary of clinical care.\35\ While both
adoption of EHRs and electronic exchange of information have grown
substantially among hospitals, significant obstacles to exchanging
electronic health information across the continuum of care persist.
Routine electronic transfer of information post-discharge has not been
achieved by providers and suppliers in many localities and regions
throughout the Nation.
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\35\ These statistics can be accessed at: https://dashboard.healthit.gov/quickstats/pages/FIG-Hospital-EHR-Adoption.php.
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CMS is firmly committed to the use of certified health IT and
interoperable EHR systems for electronic healthcare information
exchange to effectively help hospitals and other Medicare- and
Medicaid-participating providers and suppliers improve internal care
delivery practices, support the exchange of important information
across care team members during transitions of care, and enable
reporting of electronically specified clinical quality measures
(eCQMs). The Office of the National Coordinator for Health Information
Technology (ONC) acts as the principal Federal entity charged with
coordination of nationwide efforts to implement and use health
information technology and the electronic exchange of health
information on behalf of the Department of Health and Human Services.
In 2015, ONC finalized the 2015 Edition health IT certification
criteria (2015 Edition), the most recent criteria for health IT to be
certified to under the ONC Health IT Certification Program. The 2015
Edition facilitates greater interoperability for several clinical
health information purposes and enables health information exchange
through new and enhanced certification criteria, standards, and
implementation specifications. CMS requires eligible hospitals and CAHs
in the Medicare and Medicaid EHR Incentive Programs and eligible
clinicians in the Quality Payment Program (QPP) to use EHR technology
certified to the 2015 Edition beginning in CY 2019.
[[Page 34392]]
In addition, several important initiatives will be implemented over
the next several years to provide hospitals and other participating
providers and suppliers with access to robust infrastructure that will
enable routine electronic exchange of health information. Section 4003
of the 21st Century Cures Act (Pub. L. 114-255), enacted in 2016, and
amending section 3000 of the Public Health Service Act (42 U.S.C.
300jj), requires HHS to take steps to advance the electronic exchange
of health information and interoperability for participating providers
and suppliers in various settings across the care continuum.
Specifically, Congress directed that ONC ``. . . for the purpose of
ensuring full network-to-network exchange of health information,
convene public-private and public-public partnerships to build
consensus and develop or support a trusted exchange framework,
including a common agreement among health information networks
nationally.'' In January 2018, ONC released a draft version of its
proposal for the Trusted Exchange Framework and Common Agreement,\36\
which outlines principles and minimum terms and conditions for trusted
exchange to enable interoperability across disparate health information
networks (HINs). The Trusted Exchange Framework (TEF) is focused on
achieving the following four important outcomes in the long-term:
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\36\ The draft version of the trusted Exchange Framework may be
accessed at: https://beta.healthit.gov/topic/interoperability/trusted-exchange-framework-and-common-agreement.
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Professional care providers, who deliver care across the
continuum, can access health information about their patients,
regardless of where the patient received care.
Patients can find all of their health information from
across the care continuum, even if they do not remember the name of the
professional care provider they saw.
Professional care providers and health systems, as well as
public and private health care organizations and public and private
payer organizations accountable for managing benefits and the health of
populations, can receive necessary and appropriate information on
groups of individuals without having to access one record at a time,
allowing them to analyze population health trends, outcomes, and costs;
identify at-risk populations; and track progress on quality improvement
initiatives.
The health IT community has open and accessible
application programming interfaces (APIs) to encourage entrepreneurial,
user-focused innovation that will make health information more
accessible and improve EHR usability.
ONC will revise the draft TEF based on public comment and
ultimately release a final version of the TEF that will subsequently be
available for adoption by HINs and their participants seeking to
participate in nationwide health information exchange. The goal for
stakeholders that participate in, or serve as, a HIN is to ensure that
participants will have the ability to seamlessly share and receive a
core set of data from other network participants in accordance with a
set of permitted purposes and applicable privacy and security
requirements. Broad adoption of this framework and its associated
exchange standards is intended to both achieve the outcomes described
above while creating an environment more conducive to innovation.
In light of the widespread adoption of EHRs along with the
increasing availability of health information exchange infrastructure
predominantly among hospitals, we are interested in hearing from
stakeholders on how we could use the CMS health and safety standards
that are required for providers and suppliers participating in the
Medicare and Medicaid programs (that is, the Conditions of
Participation (CoPs), Conditions for Coverage (CfCs), and Requirements
for Participation (RfPs) for Long-Term Care (LTC) Facilities) to
further advance electronic exchange of information that supports safe,
effective transitions of care between hospitals and community
providers. Specifically, CMS might consider revisions to the current
CMS CoPs for hospitals, such as: Requiring that hospitals transferring
medically necessary information to another facility upon a patient
transfer or discharge do so electronically; requiring that hospitals
electronically send required discharge information to a community
provider via electronic means if possible and if a community provider
can be identified; and requiring that hospitals make certain
information available to patients or a specified third-party
application (for example, required discharge instructions) via
electronic means if requested.
On November 3, 2015, we published a proposed rule (80 FR 68126) to
implement the provisions of the Improving Medicare Post-Acute Care
Transformation Act of 2014 (the IMPACT Act) (Pub. L. 113-185) and to
revise the discharge planning CoP requirements that hospitals
(including short-term acute care hospitals, long-term care hospitals
(LTCHs), rehabilitation hospitals, psychiatric hospitals, children's
hospitals, and cancer hospitals), critical access hospitals (CAHs), and
home health agencies (HHAs) would need to meet in order to participate
in the Medicare and Medicaid programs. This proposed rule has not been
finalized yet. However, several of the proposed requirements directly
address the issue of communication between providers and between
providers and patients, as well as the issue of interoperability:
Hospitals and CAHs would be required to transfer certain
necessary medical information and a copy of the discharge instructions
and discharge summary to the patient's practitioner, if the
practitioner is known and has been clearly identified;
Hospitals and CAHs would be required to send certain
necessary medical information to the receiving facility/post-acute care
providers, at the time of discharge; and
Hospitals, CAHs, and HHAs would need to comply with the
IMPACT Act requirements that would require hospitals, CAHs, and certain
post-acute care providers to use data on quality measures and data on
resource use measures to assist patients during the discharge planning
process, while taking into account the patient's goals of care and
treatment preferences.
We published another proposed rule (81 FR 39448) on June 16, 2016,
that updated a number of CoP requirements that hospitals and CAHs would
need to meet in order to participate in the Medicare and Medicaid
programs. This proposed rule has not been finalized yet. One of the
proposed hospital CoP revisions in that rule directly addresses the
issues of communication between providers and patients, patient access
to their medical records, and interoperability. We proposed that
patients have the right to access their medical records, upon an oral
or written request, in the form and format requested by such patients,
if it is readily producible in such form and format (including in an
electronic form or format when such medical records are maintained
electronically); or, if not, in a readable hard copy form or such other
form and format as agreed to by the facility and the individual,
including current medical records, within a reasonable timeframe. The
hospital must not frustrate the legitimate efforts of individuals to
gain access to their own medical records and must actively seek to meet
these requests as quickly as its recordkeeping system permits.
We also published a final rule (81 FR 68688) on October 4, 2016,
that revised
[[Page 34393]]
the requirements that LTC facilities must meet to participate in the
Medicare and Medicaid programs. In this rule, we made a number of
revisions based on the importance of effective communication between
providers during transitions of care, such as transfers and discharges
of residents to other facilities or providers, or to home. Among these
revisions was a requirement that the transferring LTC facility must
provide all necessary information to the resident's receiving provider,
whether it is an acute care hospital, an LTCH, a psychiatric facility,
another LTC facility, a hospice, a home health agency, or another
community-based provider or practitioner (42 CFR 483.15(c)(2)(iii)). We
specified that necessary information must include the following:
Contact information of the practitioner responsible for
the care of the resident;
Resident representative information including contact
information;
Advance directive information;
Special instructions or precautions for ongoing care;
The resident's comprehensive care plan goals; and
All other necessary information, including a copy of the
resident's discharge or transfer summary and any other documentation to
ensure a safe and effective transition of care.
We note that the discharge summary mentioned above must include
reconciliation of the resident's medications, as well as a
recapitulation of the resident's stay, a final summary of the
resident's status, and the post-discharge plan of care. In addition, in
the preamble to the rule, we encouraged LTC facilities to
electronically exchange this information if possible and to identify
opportunities to streamline the collection and exchange of resident
information by using information that the facility is already capturing
electronically.
Additionally, we specifically invite stakeholder feedback on the
following questions regarding possible new or revised CoPs/CfCs/RfPs
for interoperability and electronic exchange of health information:
If CMS were to propose a new CoP/CfC/RfP standard to
require electronic exchange of medically necessary information, would
this help to reduce information blocking as defined in section 4004 of
the 21st Century Cures Act?
Should CMS propose new CoPs/CfCs/RfPs for hospitals and
other participating providers and suppliers to ensure a patient's or
resident's (or his or her caregiver's or representative's) right and
ability to electronically access his or her health information without
undue burden? Would existing portals or other electronic means
currently in use by many hospitals satisfy such a requirement regarding
patient/resident access as well as interoperability?
Are new or revised CMS CoPs/CfCs/RfPs for interoperability
and electronic exchange of health information necessary to ensure
patients/residents and their treating providers routinely receive
relevant electronic health information from hospitals on a timely basis
or will this be achieved in the next few years through existing
Medicare and Medicaid policies, the implementing regulations related to
the privacy and security standards of the Health Insurance Portability
and Accountability Act of 1996 (HIPAA) (Pub. L. 104-91), and
implementation of relevant policies in the 21st Century Cures Act?
What would be a reasonable implementation timeframe for
compliance with new or revised CMS CoPs/CfCs/RfPs for interoperability
and electronic exchange of health information if CMS were to propose
and finalize such requirements? Should these requirements have delayed
implementation dates for specific participating providers and
suppliers, or types of participating providers and suppliers (for
example, participating providers and suppliers that are not eligible
for the Medicare and Medicaid EHR Incentive Programs)?
Do stakeholders believe that new or revised CMS CoPs/CfCs/
RfPs for interoperability and electronic exchange of health information
would help improve routine electronic transfer of health information as
well as overall patient/resident care and safety?
Under new or revised CoPs/CfCs/RfPs, should non-electronic
forms of sharing medically necessary information (for example, printed
copies of patient/resident discharge/transfer summaries shared directly
with the patient/resident or with the receiving provider or supplier,
either directly transferred with the patient/resident or by mail or fax
to the receiving provider or supplier) be permitted to continue if the
receiving provider, supplier, or patient/resident cannot receive the
information electronically?
Are there any other operational or legal considerations
(for example, implementing regulations related to the HIPAA privacy and
security standards), obstacles, or barriers that hospitals and other
providers and suppliers would face in implementing changes to meet new
or revised interoperability and health information exchange
requirements under new or revised CMS CoPs/CfCs/RfPs if they are
proposed and finalized in the future?
What types of exceptions, if any, to meeting new or
revised interoperability and health information exchange requirements
should be allowed under new or revised CMS CoPs/CfCs/RfPs if they are
proposed and finalized in the future? Should exceptions under the QPP,
including CEHRT hardship or small practices, be extended to new
requirements? Would extending such exceptions impact the effectiveness
of these requirements?
We would also like to directly address the issue of communication
between hospitals (as well as the other providers and suppliers across
the continuum of patient care) and their patients and caregivers.
MyHealthEData is a government-wide initiative aimed at breaking down
barriers that contribute to preventing patients from being able to
access and control their medical records. Privacy and security of
patient data will be at the center of all CMS efforts in this area. CMS
must protect the confidentiality of patient data, and CMS is completely
aligned with the Department of Veterans Affairs (VA), the National
Institutes of Health (NIH), ONC, and the rest of the Federal
Government, on this objective.
While some Medicare beneficiaries have had, for quite some time,
the ability to download their Medicare claims information, in pdf or
Excel formats, through the CMS Blue Button platform, the information
was provided without any context or other information that would help
beneficiaries understand what the data were really telling them. For
beneficiaries, their claims information is useless if it is either too
hard to obtain or, as was the case with the information provided
through previous versions of Blue Button, hard to understand. In an
effort to fully contribute to the Federal Government's MyHealthEData
initiative, CMS developed and launched the new Blue Button 2.0, which
represents a major step toward giving patients meaningful control of
their health information in an easy-to-access and understandable way.
Blue Button 2.0 is a developer-friendly, standards-based application
programming interface (API) that enables Medicare beneficiaries to
connect their claims data to secure applications, services, and
research programs they trust. The possibilities for better care through
Blue Button 2.0 data are exciting, and might include enabling the
creation of health dashboards for Medicare beneficiaries to view their
health information in a single portal, or allowing beneficiaries to
share complete
[[Page 34394]]
medication lists with their doctors to prevent dangerous drug
interactions.
To fully understand all of these health IT interoperability issues,
initiatives, and innovations through the lens of its regulatory
authority, CMS invites members of the public to submit their ideas on
how best to accomplish the goal of fully interoperable health IT and
EHR systems for Medicare- and Medicaid-participating providers and
suppliers, as well as how best to further contribute to and advance the
MyHealthEData initiative for patients. We are particularly interested
in identifying fundamental barriers to interoperability and health
information exchange, including those specific barriers that prevent
patients from being able to access and control their medical records.
We also welcome the public's ideas and innovative thoughts on
addressing these barriers and ultimately removing or reducing them in
an effective way, specifically through revisions to the current CMS
CoPs, CfCs, and RfPs for hospitals and other participating providers
and suppliers. We have received stakeholder input through recent CMS
Listening Sessions on the need to address health IT adoption and
interoperability among providers that were not eligible for the
Medicare and Medicaid EHR Incentives program, including long-term and
post-acute care providers, behavioral health providers, clinical
laboratories and social service providers, and we would also welcome
specific input on how to encourage adoption of certified health IT and
interoperability among these types of providers and suppliers as well.
B. Request for Information on Price Transparency: Improving Beneficiary
Access to Provider and Supplier Charge Information
In the FY 2019 IPPS/LTCH PPS proposed rule (83 FR 20548-49) and the
FY 2015 IPPS/LTCH PPS proposed and final rules (79 FR 28169 and 79 FR
50146, respectively), we stated that we intend to continue to review
and post relevant charge data in a consumer-friendly way, as we
previously have done by posting hospital and physician charge
information on the CMS website.\37\ In the FY 2019 IPPS/LTCH PPS
proposed rule, we also continued our discussion of the implementation
of section 2718(e) of the Public Health Service Act, which aims to
improve the transparency of hospital charges. This discussion in the FY
2019 IPPS/LTCH PPS proposed rule continued a discussion we began in the
FY 2015 IPPS/LTCH PPS proposed rule and final rule (79 FR 28169 and 79
FR 50146, respectively). In all of these rules, we noted that section
2718(e) of the Public Health Service Act requires that each hospital
operating within the United States, for each year, establish (and
update) and make public (in accordance with guidelines developed by the
Secretary) a list of the hospital's standard charges for items and
services provided by the hospital, including for diagnosis-related
groups (DRGs) established under section 1886(d)(4) of the Social
Security Act. In the FY 2015 IPPS/LTCH PPS proposed and final rules, we
reminded hospitals of their obligation to comply with the provisions of
section 2718(e) of the Public Health Service Act and provided
guidelines for its implementation. We stated that hospitals are
required to either make public a list of their standard charges
(whether that be the chargemaster itself or in another form of their
choice) or their policies for allowing the public to view a list of
those charges in response to an inquiry. In the FY 2019 IPPS/LTCH PPS
proposed rule, we took one step to further improve the public
accessibility of charge information. Specifically, effective January 1,
2019, we are updating our guidelines to require hospitals to make
available a list of their current standard charges via the Internet in
a machine readable format and to update this information at least
annually, or more often as appropriate.
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\37\ See, for example, Medicare Provider Utilization and Payment
Data, available at: https://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/Medicare-Provider-Charge-Data/.
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In general, we encourage all providers and suppliers of healthcare
services to undertake efforts to engage in consumer-friendly
communication of their charges to help patients understand what their
potential financial liability might be for services they obtain, and to
enable patients to compare charges for similar services. We encourage
providers and suppliers to update this information at least annually,
or more often as appropriate, to reflect current charges.
We are concerned that challenges continue to exist for patients due
to insufficient price transparency. Such challenges include patients
being surprised by out-of-network bills for physicians, such as
anesthesiologists and radiologists, who provide services at in-network
hospitals and in other settings, and patients being surprised by
facility fees, physician fees for emergency department visits, or by
fees for provider and supplier services that the beneficiary considered
to be part of an episode of care involving a hospital but were not
services furnished by the hospital. We also are concerned that, for
providers and suppliers that maintain a list of standard charges, the
charge data may not be helpful to patients for determining what they
are likely to pay for a particular service or facility encounter. In
order to promote greater price transparency for patients, we are
considering ways to improve the accessibility and usability of current
charge information.
We also are considering potential actions that would be appropriate
to further our objective of having providers and suppliers undertake
efforts to engage in consumer-friendly communication of their charges
to help patients understand what their potential financial liability
might be for services they obtain from the provider or supplier, and to
enable patients to compare charges for similar services across
providers and suppliers, including services that could be offered in
more than one setting. Therefore, we are seeking public comment from
all providers and suppliers, including ESRD facilities and DME
suppliers, on the following:
How should we define ``standard charges'' in various
provider and supplier settings? Is there one definition for those
settings that maintain chargemasters, and potentially a different
definition for those settings that do not maintain chargemasters?
Should ``standard charges'' be defined to mean: Average or median rates
for the items on a chargemaster or other price list or charge list;
average or median rates for groups of items and/or services commonly
billed together, as determined by the provider or supplier based on its
billing patterns; or the average discount off the chargemaster, price
list or charge list amount across all payers, either for each
separately enumerated item or for groups of services commonly billed
together? Should ``standard charges'' be defined and reported for both
some measure of the average contracted rate and the chargemaster, price
list or charge list? Or is the best measure of a provider's or
supplier's standard charges its chargemaster, price list or charge
list?
What types of information would be most beneficial to
patients, how can health care providers and suppliers best enable
patients to use charge and cost information in their decision-making,
and how can CMS and providers and suppliers help third parties create
patient-friendly interfaces with these data?
Should providers and suppliers be required to inform
patients how much their out of pocket costs for a service will be
before those patients are furnished that service? How can
[[Page 34395]]
information on out-of-pocket costs be provided to better support
patients' choice and decision-making? What changes would be needed to
support greater transparency around patient obligations for their out-
of-pocket costs? How can CMS help beneficiaries to better understand
how copayment and coinsurance are applied to each service covered by
Medicare? What can be done to better inform patients of their financial
obligations? Should providers and suppliers play any role in helping to
inform patients of what their out-of-pocket obligations will be?
Can we require providers and suppliers to provide patients
with information on what Medicare pays for a particular service
performed by that provider or supplier? If so, what changes would need
to be made by providers and suppliers? What burden would be added as a
result of such a requirement?
In addition, we are seeking public comment on improving a Medigap
patient's understanding of his or her out-of-pocket costs prior to
receiving services, especially with respect to the following particular
questions:
How does Medigap coverage affect patients' understanding
of their out of pocket costs before they receive care? What challenges
do providers and suppliers face in providing information about out-of-
pocket costs to patients with Medigap? What changes can Medicare make
to support providers and suppliers that share out-of-pocket cost
information with patients that reflects the patient's Medigap coverage?
Who is best situated to provide patients with clear Medigap coverage
information on their out-of-pocket costs prior to receipt of care? What
role can Medigap plans play in providing information to patients on
their expected out-of-pocket costs for a service? What state-specific
requirements or programs help educate Medigap patients about their out-
of-pocket costs prior to receipt of care?
XIV. Collection of Information Requirements
A. Legislative Requirement for Solicitation of Comments
Under the Paperwork Reduction Act of 1995, we are required to
provide 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 requirement
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. Requirements in Regulation Text
In section II.B.1 and II.B.2.b of this proposed rule, we are
proposing changes to regulatory text for the ESRD PPS in CY 2019.
However, the changes that are being proposed do not impose any new
information collection requirements.
C. Additional Information Collection Requirements
This proposed rule does not impose any new information collection
requirements in the regulation text, as specified above. However, there
are changes in some currently approved information collections. The
following is a discussion of these information collections.
1. ESRD QIP--Wage Estimates
To derive wage estimates, we used data from the U.S. Bureau of
Labor Statistics' May 2016 National Occupational Employment and Wage
Estimates. In the CY 2016 ESRD PPS final rule (80 FR 69069), we stated
that it was reasonable to assume that Medical Records and Health
Information Technicians, who are responsible for organizing and
managing health information data,\38\ are the individuals tasked with
submitting measure data to CROWNWeb and NHSN, as well as compiling and
submitting patient records for purposes of the data validation studies
rather than a Registered Nurse, whose duties are centered on providing
and coordinating care for patients.\39\ The mean hourly wage of a
Medical Records and Health Information Technician is $20.59 per hour.
Fringe benefit and overhead are calculated at 100 percent. Therefore,
using these assumptions, we estimate an hourly labor cost of $41.18 as
the basis of the wage estimates for all collection of information
calculations in the ESRD QIP. We have adjusted these employee hourly
wage estimates by a factor of 100 percent to reflect current HHS
department-wide guidance on estimating the cost of fringe benefits and
overhead. These are necessarily rough adjustments, both because fringe
benefits and overhead costs vary significantly from employer to
employer and because methods of estimating these costs vary widely from
study to study. Nonetheless, there is no practical alternative and we
believe that these are reasonable estimation methods.
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\38\ https://www.bls.gov/oes/current/oes292071.htm.
\39\ https://www.bls.gov/oes/current/oes291141.htm.
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We used these updated wage estimates along with updated facility
counts and patient counts to re-estimate the total information
collection burden under the ESRD QIP. We estimate the total information
collection burden for the PY 2021 ESRD QIP to be $181 million, and for
PY 2022, to be $202 million for a net incremental burden of $21
million.
a. Estimated Time Required To Submit Data Based on Proposed Reporting
Requirements
In the CY 2016 ESRD PPS final rule (80 FR 69070), we estimated that
the time required to submit measure data using CROWNWeb is 2.5 minutes
per data element submitted, which takes into account the small
percentage of data that is manually reported, as well as the human
interventions required to modify batch submission files to ensure that
they meet CROWNWeb's internal data format requirements.
b. Estimated Burden Associated With the Data Validation Requirements
for PY 2021 and PY 2022
Section IV.B.6 of this proposed rule outlines our data validation
proposals. Specifically, for the CROWNWeb validation, we are proposing
to adopt the CROWNWeb data validation methodology that we previously
adopted for the PY 2016 ESRD QIP as the methodology we would use to
validate CROWNWeb data for all payment years, beginning with PY 2021.
Under this methodology, 300 facilities would be selected each year to
submit to CMS not more than 10 records, and we would reimburse these
facilities for the costs associated with copying and mailing the
requested records. The burden associated with these validation
requirements is the time and effort necessary to submit the requested
records to a CMS contractor. We estimate that it would take each
facility approximately 2.5 hours to comply with this requirement. If
300 facilities are asked to submit records, we estimate that the total
combined annual burden for these facilities would be 750 hours (300
facilities x 2.5 hours). Since we anticipate that Medical Records and
Health Information Technicians or
[[Page 34396]]
similar administrative staff would submit these data, we estimate that
the aggregate cost of the CROWNWeb data validation each year would be
approximately $30,885 (750 hours x $41.18), or an annual total of
approximately $103 ($30,885/300 facilities) per facility in the sample.
The burden associated with these requirements is captured in an
information collection request (OMB control number 0938-1289).
Under the proposed continued study for validating data reported to
the NHSN Dialysis Event Module, we are proposing to modify the sampling
methodology finalized in the CY 2018 ESRD PPS final rule (82 FR 50766
through 50767). Under the proposed modifications, we would select 150
facilities for participation in the PY 2021 validation study and 300
facilities for participation in the PY 2022 validation study. A CMS
contractor would send these facilities requests for 20 patient records
for each of 2 quarters of data reported in CY 2018 (for a total of 40
patient records per facility). The burden associated with these
validation requirements is the time and effort necessary to submit the
requested records to a CMS contractor. We estimate that it would take
each facility approximately 10 hours to comply with this requirement.
If 150 facilities are asked to submit records, as proposed for PY 2021,
we estimate that the total combined annual burden for these facilities
would be 1,500 hours (150 facilities x 10 hours). Since we anticipate
that Medical Records and Health Information Technicians or similar
administrative staff would submit these data, we estimate that the
aggregate cost of the NHSN data validation in PY 2021 would be $61,770
(1,500 hours x $41.18), or a total of approximately $412 ($61,770/150
facilities) per facility in the sample in PY 2021. If 300 facilities
are asked to submit records, as proposed for PY 2022, we estimate that
the total combined annual burden for these facilities would be 3,000
hours (300 facilities x 10 hours). Since we anticipate that Medical
Records and Health Information Technicians or similar administrative
staff would submit these data, we estimate that the aggregate cost of
the NHSN data validation in PY 2022 would be $123,540 (3,000 hours x
$41.18), or a total of approximately $412 ($123,540/300 facilities) per
facility in the sample for PY 2022. The information collection request
(OMB control number 0938-1340) will be revised and sent to OMB for
approval.
2. Proposed New CROWNWeb Reporting Requirements for PY 2021, PY 2022,
and PY 2024
To determine the burden associated with proposed new collection of
information requirements, we look at the total number of patients
nationally, the number of data elements per patient-year that the
facility would be required to submit to CROWNWeb for each measure, the
amount of time required for data entry, the estimated wage plus
benefits applicable to the individuals within facilities who are most
likely to be entering data into CROWNWeb, and the number of facilities
submitting data to CROWNWeb. In section IV.B.1.c of this proposed rule,
we are proposing to modify our data collection requirements for PY 2021
by removing four reporting measures from the ESRD QIP measure set.
These changes would result in a burden collection savings of
approximately $12 million for PY 2021 (from an estimated $193 million
in total ESRD QIP burden for PY 2021 to an estimated $181 million).
Approximately $2 million of that reduction is attributable to the
proposed removal of the Pain Assessment and Follow-Up reporting measure
and the remaining $10 million of that reduction is attributable to the
proposed removal of the Serum Phosphorus reporting measure. The total
reduction in burden hours is approximately 300,000 hours (from an
estimated 4.7 million burden hours for PY 2021 to an estimated 4.4
million burden hours). Approximately 40,000 hours of that reduction is
attributable to the proposed removal of the Pain Assessment and Follow-
Up reporting measure and the remaining 260,000 hours of that reduction
is attributable to the proposed removal of the Serum Phosphorus
reporting measure. The proposed removal of the other two reporting
measures (Healthcare Personnel Influenza Vaccination and Anemia
Management) would not affect our burden calculations because data on
those measures are not reported through CROWNWeb.
In section IV.C.1 of this proposed rule, we are proposing to adopt
two new measures beginning with PY 2022. We estimate that the burden
associated with this new data collection requirement would be
approximately $21 million, or an estimated 510,000 burden hours, and
that this burden would be attributable entirely to the reporting of
data on the proposed MedRec measure. Since facilities are not required
to submit data to CROWNWeb for the PPPW measure, we estimate that there
would be no additional burden on facilities if our proposal to adopt
the PPPW measure is finalized. We estimate that the total burden
increase associated with reporting data on the two new measures
proposed for PY 2022 is $21 million. The information collection request
under OMB control number 0938-1289 will be revised and sent to OMB.
In section IV.D.1 of this proposed rule, we are proposing to adopt
one new measure beginning in PY 2024. We estimate that the burden
associated with the proposed measure will be zero. Since facilities are
not required to submit data to CROWNWeb for the SWR measure, there is
no burden in connection with this measure in PY 2024.
3. DMEPOS Competitive Bidding Program
a. Bidding Forms A and B
Section V.D of this proposed rule outlines our proposed changes to
the DMEPOS CBP. DMEPOS suppliers submit bids in order to compete to
become a contract supplier to furnish competitively bid items to
Medicare beneficiaries who live in a CBA. CMS publishes Request for
Bids instructions to describe DMEPOS CBP requirements and to instruct
bidders through the bid submission process. Bids are submitted
electronically via the DMEPOS Bidding System (DBidS), which is the
DMEPOS CBPs' online bidding system. The bids submitted before the close
of the bid window are evaluated to determine which bidders will be
offered contracts. Form A collects key business information to identify
a bidder, the areas and products where the bidder chooses to bid, and
pertinent information to indicate whether the bidder meets all
eligibility requirements. A thorough analysis is performed of all
information submitted to determine that the bidder has met all
requirements, including licensure, financial, and quality standards.
Form B contains key bid information including the bid amount for each
item, historical experience providing each item, and specific
manufacturer and model information for each item. The manufacturer and
model information is utilized to populate the Medicare Supplier
Directory during the contract period for bidders that are awarded a
contract. CMS utilizes the combined information from Forms A and B to
select winning bidders and establish single payment amounts for
competitively bid items and services. The previously approved
information collection request is under OMB control number 0938-1016.
[[Page 34397]]
All bidders must submit their information and signature(s)
electronically into Forms A and B using DBidS. This system allows
bidders to efficiently and consistently provide the necessary
information contained on Forms A and B for CMS to review. Bidders are
allowed to make changes to their bids at any time prior to the close of
the bid window, at which time bidders are required to complete,
approve, and certify their bids. The Competitive Bidding Implementation
Contractor (CBIC) will use the appropriate technology to safely obtain
and secure the bidding information that is transmitted. Assistance and
technical support is available to bidders throughout the competitive
bidding process. Bidders will be required to submit supporting
documentation such as required financial documents, proof of a bid
surety bond(s), and any network agreement(s) to the CBIC.
b. Burden Estimates (Hours and Wages) for Bidding Forms A and B
Form A is used to identify the bidder. This form includes
information for all locations that would be included with the bid(s).
In preparation for the next round, CMS has incorporated an update to
this form that would also provide new instructions in accordance with
Sec. 414.412(h), allowing the bidder to attest that they have obtained
a bid surety bond for each CBA for which they are submitting a bid.
We have estimated the time to obtain a bid surety bond from a
surety company (including contacting the company, filling out forms,
submitting forms, filing paperwork, etc.) to be 11 minutes.
Additionally, we estimate that the time to assemble and complete the
new bid surety bond section of Form A to be 5 minutes. The time to
submit the bid surety bond documentation is estimated to take an
additional 5 minutes. Therefore, the total time to complete Form A has
changed from 8 hours to 8 hours and 21 minutes. Based on the number of
bidders from prior rounds of competition, we have estimated the number
of respondents (bidders) to be 1,500 for the next round. Each bidder
would be required to complete one Form A for each round in which it
bids. We anticipate that this form would be completed by the equivalent
of an Administrative Services Manager with a mean hourly wage of
$49.70, plus fringe benefits and overhead of $49.70, for a total of
$99.40. This wage is based on the May 2017 Occupational Employment
Statistics from the Bureau of Labor Statistics, plus fringe benefits
and overhead, https://www.bls.gov/oes/current/oes113011.htm. It is
anticipated that an Administrative Services Manager would have the
requisite knowledge, access to information, and decision making
authority related to a bidder's business operations necessary to
formulate a bid. We are seeking comments on this assumption. We
estimate, based on information from previous rounds of competition, the
burden for each bidder to complete Form A is 8 hours and 21 minutes,
and $829.99. This estimate is based on the time it takes a bidder to
develop their business strategy on which CBAs and product categories to
bid; obtain their bid surety bond(s); gather the required documents;
and enter and review their information.
We do not know the exact number of bidders who would bid in the
next round; however, for purposes of this estimate, we would assume
that the number of bidders would be roughly the same as in previous
rounds of competition. We estimate there would be approximately 1,500
bidders in the next round and each bidder would complete Form A once
for a total of 12,525 hours and a total cost of $1,244,985.
Bidders will use Form B to submit bids for items included in the
DMEPOS CBP. This form would be completed once for each CBA and product
category combination with an estimated completion time of 3 hours.
Total completion time assumes the time it takes a bidder to familiarize
itself on how to complete Form B, develop its bid amount and enter the
applicable information into Form B. For the next round, we do not know
how many bids will be submitted; however, for purposes of this
estimate, we would assume the average bidder would bid in 5 CBAs in 7
product categories for an average total of 35 Form Bs. We expect the
number of hours to complete Form B to decrease from previous rounds
based on the removal of the expansion plan section, as well as the
proposed change in bidding methodology to move to lead item pricing as
described in this proposed rule. Specifically, the expansion plan
section is being removed from Form B to reduce the burden for bidders
as we have learned from past rounds that this information is no longer
necessary. The proposed change in bidding methodology to move to lead
item pricing would require bidders to only submit a single bid for an
entire product category, instead of multiple bids (which can be over
100 for some product categories). We anticipate that this form would be
completed by the equivalent of an Administrative Services Manager with
a mean hourly wage of $49.70, plus fringe benefits and overhead of
$49.70, for a total of $99.40. It is anticipated that an Administrative
Services Manager would have the requisite knowledge, access to
information, and decision making authority related to a bidder's
business operations necessary to formulate the bid. As a result, we
estimate it would require the average bidder 105 hours to complete all
35 Form Bs with a cost of $10,437. Assuming 1,500 bidders participate
in the next round of the DMEPOS CBP, and each bidder completes 35 Form
Bs, there would be estimated 52,500 Form Bs submitted taking an
estimated 157,500 hours for a total estimated cost of $15,655,500.
The information collection request associated with the DMEPOS CBP
will be revised and submitted to OMB under control number 0938-1016.
These requirements are not effective until approved by OMB.
XV. Response to Comments
Because of the large number of public comments we normally receive
on Federal Register documents, we are not able to acknowledge or
respond to them individually. We will consider all comments we receive
by the date and time specified in the DATES section of this preamble,
and, when we proceed with a subsequent document, we will respond to the
comments in the preamble to that document.
XVI. Economic Analyses
A. Regulatory Impact Analysis
1. Introduction
We have examined the impacts of this rule as required by Executive
Order 12866 on Regulatory Planning and Review (September 30, 1993),
Executive Order 13563 on Improving Regulation and Regulatory Review
(January 18, 2011), the Regulatory Flexibility Act (RFA) (September 19,
1980, Pub. L. 96 354), section 1102(b) of the Social Security 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), the Congressional Review Act (5 U.S.C. 804(2) and Executive
Order 13771 on Reducing Regulation and Controlling Regulatory Costs
(January 30, 2017).
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). Section
3(f) of Executive Order
[[Page 34398]]
12866 defines a ``significant regulatory action'' as an action that is
likely to result in a rule: (1) Having an annual effect on the economy
of $100 million or more in any 1 year, or adversely and materially
affecting a sector of the economy, productivity, competition, jobs, the
environment, public health or safety, or state, local or tribal
governments or communities (also referred to as ``economically
significant''); (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 novel legal or policy issues arising out of
legal mandates, the President's priorities, or the principles set forth
in the Executive Order.
A regulatory impact analysis (RIA) must be prepared for major rules
with economically significant effects ($100 million or more in any 1
year).
We estimate that this rulemaking is ``economically significant'' as
measured by the $100 million threshold, and hence also a major rule
under the Congressional Review Act. Accordingly, we have prepared a RIA
that to the best of our ability presents the costs and benefits of the
rulemaking.
We solicit comments on the regulatory impact analysis provided.
2. Statement of Need
a. ESRD PPS
This rule proposes a number of routine updates and several policy
changes to the ESRD PPS in CY 2019. The proposed routine updates
include the CY 2019 wage index values, the wage index budget-neutrality
adjustment factor, and outlier payment threshold amounts. Failure to
publish this proposed rule would result in ESRD facilities not
receiving appropriate payments in CY 2019 for renal dialysis services
furnished to ESRD patients.
b. AKI
This rule also proposes routine updates to the payment for renal
dialysis services furnished by ESRD facilities to individuals with AKI.
Failure to publish this proposed rule would result in ESRD facilities
not receiving appropriate payments in CY 2019 for renal dialysis
services furnished to patients with AKI in accordance with section
1834(r) of the Act.
c. ESRD QIP
This rule proposes to implement requirements for the ESRD QIP,
including a proposal to adopt two new measures beginning with PY 2022
and a proposal to adopt a new measure beginning with PY 2024. Failure
to propose requirements for the PY 2022 ESRD QIP would prevent
continuation of the ESRD QIP beyond PY 2021. In addition, proposing
requirements for the PY 2022 ESRD QIP provides facilities with more
time to review and fully understand new measures before their
implementation in the ESRD QIP.
d. DMEPOS
i. Changes to the Durable Medical Equipment, Prosthetics, Orthotics,
and Supplies (DMEPOS) Competitive Bidding Program (CBP)
The proposed revisions include implementation of lead item pricing
and determination of SPAs based on maximum winning bids submitted for a
lead item in each product category. This rule also proposes to revise
the definitions of ``bid'' and ``composite bid'' and establish a new
definition for ``lead item.''
ii. Adjustments to DMEPOS Fee Schedule Amounts Based on Information
From the DMEPOS CBP
We are proposing to revise Sec. 414.210(g)(9) so that for items
and services furnished in rural or non-contiguous areas with dates of
service from January 1, 2019 through December 31, 2020, under part 414,
subpart D the fee schedule amount for the area is equal to 50 percent
of the adjusted payment amount established under this section and 50
percent of the unadjusted fee schedule amount. We are proposing to
revise Sec. 414.210(g)(9) so that for items and services furnished in
non-CBAs that are not rural or non-contiguous areas with dates of
service from January 1, 2019 through December 31, 2020, under part 414,
subpart D the fee schedule amount for the area is equal to 100 percent
of the adjusted payment amount established under this section.
We then propose to create a new paragraph (10) under Sec.
414.210(g) titled, ``Payment Adjustments for Items and Services
Furnished in Former Competitive Bidding Areas During Temporary Gaps in
the DMEPOS Competitive Bidding Program'' which has the following text
underneath: ``During a temporary gap in the entire DMEPOS CBP and/or
National Mail Order CBP, the fee schedule amounts for items and
services that were competitively bid and furnished in areas that were
competitive bidding areas at the time the program(s) was in effect are
adjusted based on the SPAs in effect in the competitive bidding areas
on the last day before the CBP contract period of performance ended,
increased by the projected percentage change in the Consumer Price
Index for all Urban Consumers (CPI-U) for the 12-month period ending on
the date after the contract periods ended. If the gap in the CBP lasts
for more than 12 months, the fee schedule amounts are increased once
every 12 months on the anniversary date of the first day of the gap
period based on the projected percentage change in the CPI-U for the
12-month period ending on the anniversary date.''
iii. New Payment Classes for Oxygen and Oxygen Equipment and
Methodology for Ensuring Annual Budget Neutrality of the New Classes
This proposed rule would amend our regulations at Sec. 414.226 by
revising the payment rules for oxygen and oxygen equipment and adding a
new paragraph after paragraph (c) that establishes some new oxygen and
oxygen equipment payment classes effective January 1, 2019. Instead of
having one class for portable oxygen equipment only (gaseous and liquid
tanks), we propose establishing two classes for portable oxygen
equipment: (1) One class for portable oxygen equipment (gaseous tanks)
and (2) another class for portable oxygen equipment (liquid tanks.) We
are also proposing to add a class for liquid oxygen contents for
prescribed flow rates greater than four liters per minute and used with
portable equipment. We are also proposing a new budget neutrality
offset to ensure the budget neutrality of all oxygen and oxygen
equipment classes added after 2006.
iv. Payment for Multi-Function Ventilators
We are proposing to add a payment rule to Sec. 414.222(f) for
multi-function ventilators that would establish payment in accordance
with section 1834(a)(3) of the Act for ventilators that also perform
the functions of other items of durable medical equipment subject to
payment rules under paragraphs (2), (5), and (7) of section 1834(a) of
the Act.
v. Including the Northern Mariana Islands in Future National Mail Order
CBPs
We propose to amend Sec. 414.210(g)(7) to say that beginning on or
after the date that the Northern Mariana Islands are included under a
national mail order competitive bidding program, the fee schedule
adjustment methodology under this paragraph would no longer apply.
[[Page 34399]]
3. Overall Impact
a. ESRD PPS
We estimate that the proposed revisions to the ESRD PPS would
result in an increase of approximately $220 million in payments to ESRD
facilities in CY 2019, which includes the amount associated with
updates to the outlier thresholds, and updates to the wage index.
b. AKI
We are estimating approximately $37.0 million that would now be
paid to ESRD facilities for dialysis treatments provided to AKI
beneficiaries.
c. ESRD QIP
For PY 2021, we have re-estimated the costs associated with
information collection requirements under the Program with updated wage
estimates, facility counts, and patient counts, as well as the proposed
policy changes described earlier in the preamble of this proposed rule,
including the proposed measure removals. We also re-estimated the
payment reductions under the ESRD QIP in accordance with the proposed
policy changes described earlier, including the proposed domain
restructuring and reweighting. We estimate that these updates would
result in an overall impact of $219 million associated with quality
reporting burden and payment reductions, which includes a $12 million
incremental reduction in burden in collection of information
requirements and $38 million in estimated payment reductions across all
facilities.
For PY 2022, we estimate that the proposed revisions to the ESRD
QIP would result in an increase in overall impact to $240 million,
which includes a $21 million incremental increase associated with the
proposed collection of information requirements and $38 million in
estimated payment reductions across all facilities.
d. DMEPOS
i. Changes to the Durable Medical Equipment, Prosthetics, Orthotics,
and Supplies (DMEPOS) Competitive Bidding Program (CBP)
This proposed rule with comment period, which proposes to base
single payment amounts on the maximum winning bid and to implement lead
item pricing in the Medicare DMEPOS CBP, (which we expect could
potentially be delayed until January 1, 2021) has impacts estimated by
rounding to the nearer 5 million dollars and is expected to cost $10
million in Medicare benefit payments and roughly $3 million in Medicare
beneficiary cost sharing for the 5-year period beginning January 1,
2019 and ending September 30, 2023. The Medicaid impacts for cost
sharing for the dual eligibles for the federal and state portions are
assumed to be $0 million.
ii. Adjustments to DMEPOS Fee Schedule Amounts Based on Information
From the DMEPOS CBP
This rule proposes transitional fee schedule adjustments for DMEPOS
items and services furnished on or after January 1, 2019 in areas that
are currently CBAs and in areas that are currently not CBAs.
Altogether, this rule proposes three different fee schedule adjustment
methodologies depending on the area in which the items and services are
furnished: (1) One fee schedule adjustment methodology for DME items
and services furnished on or after January 1, 2019, in areas that are
currently CBAs, in the event of a gap in the CBP; (2) another fee
schedule adjustment methodology for items and services furnished from
January 1, 2019, through December 31, 2020, in areas that are currently
not CBAs, are not rural areas, and are located in the contiguous United
States (U.S.); and (3) another fee schedule adjustment methodology for
items and services furnished from January 1, 2019, through December 31,
2020, in areas that are currently not CBAs and are either rural areas
or non-contiguous areas.
The estimated impacts for this part of the rule are calculated
against a baseline that assumes payments for items furnished in CBAs
and non-CBAs are done consistent with the rules in place as of January
1, 2018.
The impacts are expected to cost $1,050 million in Medicare benefit
payments and $260 million in Medicare beneficiary cost sharing for the
2-year period beginning January 1, 2019 and ending December 31, 2020.
The Medicaid impacts for cost sharing for the dual eligibles for the
federal and state portions are assumed to be $45 million and $30
million, respectively.
iii. New Payment Classes for Oxygen and Oxygen Equipment and
Methodology for Ensuring Annual Budget Neutrality of the New Classes
This proposed rule establishes new payment classes for oxygen and
oxygen equipment and is estimated to be budget neutral to the Medicare
program and its beneficiaries.
iv. Payment for Multi-Function Ventilators
This rule proposes to establish payment rules for multi-function
ventilators. The impacts are estimated by rounding to the nearer 5
million dollars and are expected to cost $15 million in Medicare
benefit payments and $0 million in Medicare beneficiary cost sharing
for the 5-year period beginning January 1, 2019 and ending September
30, 2023. The Medicaid impacts for cost sharing for the beneficiaries
enrolled in the Medicare Part B and Medicaid programs for the federal
and state portions are assumed to both be $0 million.
v. Including the Northern Mariana Islands in Future National Mail Order
CBPs
This change would not have a fiscal impact.
4. Regulatory Review Cost Estimation
If regulations impose administrative costs on private entities,
such as the time needed to read and interpret this proposed rule, we
should estimate the cost associated with 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 last year's proposed rule will be the number of reviewers
of this proposed rule. We acknowledge that this assumption may
understate or overstate the costs of reviewing this rule. It is
possible that not all commenters reviewed last year's 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 past
commenters would be a fair estimate of the number of reviewers of this
rule. We welcome any comments on the approach in estimating the number
of entities which will review this proposed rule.
We also recognize that different types of entities are in many
cases affected by mutually exclusive sections of this proposed rule,
and therefore for the purposes of our estimate we assume that each
reviewer reads approximately 50 percent of the rule. We seek comments
on this assumption.
Using the wage information from the BLS (https://www.bls.gov/oes/2017/may/naics4_621100.htm) for medical and health service managers
(Code 11-9111), we estimate that the cost of reviewing this rule is
$110.00 per hour, including overhead and fringe benefits. Assuming an
average reading speed, we estimate that it would take approximately
6.25 hours for the staff to review half of this proposed rule. For each
ESRD facility that reviews the rule, the estimated cost is $687.50
(6.25 hours x $110.00). Therefore, we estimate that the total cost of
reviewing this
[[Page 34400]]
regulation rounds to $39,875. ($687.50 x 58 reviewers).
For DME suppliers, we calculate a different cost of reviewing this
rule. Assuming an average reading speed, we estimate that it would take
approximately 2 hours for the staff to review this proposed rule. For
each entity that reviews this proposed rule, the estimated cost is
$220.00 (2 hours x $110.00). Therefore, we estimate that the total cost
of reviewing this proposed rule is $143,000 ($220.00 x 650 reviewers).
B. Detailed Economic Analysis
1. CY 2019 End-Stage Renal Disease Prospective Payment System
a. Effects on ESRD Facilities
To understand the impact of the changes affecting payments to
different categories of ESRD facilities, it is necessary to compare
estimated payments in CY 2018 to estimated payments in CY 2019. To
estimate the impact among various types of ESRD facilities, it is
imperative that the estimates of payments in CY 2018 and CY 2019
contain similar inputs. Therefore, we simulated payments only for those
ESRD facilities for which we are able to calculate both current
payments and new payments.
For this proposed rule, we used CY 2017 data from the Part A and
Part B Common Working Files, as of February 16, 2018, as a basis for
Medicare dialysis treatments and payments under the ESRD PPS. We
updated the 2017 claims to 2018 and 2019 using various updates. The
updates to the ESRD PPS base rate are described in section II.B.3.h of
this proposed rule. Table 58 shows the impact of the estimated CY 2019
ESRD payments compared to estimated payments to ESRD facilities in CY
2018.
Table 58--Impact of Proposed Changes in Payment to ESRD Facilities for CY 2019 \1\ Proposed Rule
--------------------------------------------------------------------------------------------------------------------------------------------------------
Effect of
total 2019
proposed
Effect of 2019 changes
Effect of 2019 changes in Effect of 2019 (outlier, wage
Number of Number of changes in wage index, changes in index and
Facility type facilities treatments (in outlier policy wage floor, payment rate floor, labor-
millions) (%) and labor- update (%) related share,
related share routine
(%) updates to the
payment rate)
(%)
A B C D E F
--------------------------------------------------------------------------------------------------------------------------------------------------------
All Facilities.......................................... 7,042 44.5 0.2 0.0 1.5 1.7
Type:
Freestanding........................................ 6,626 42.4 0.2 0.0 1.5 1.7
Hospital based...................................... 416 2.1 0.4 -0.1 1.5 1.8
Ownership Type:
Large dialysis organization......................... 5,355 34.4 0.2 0.0 1.5 1.7
Regional chain...................................... 871 5.7 0.3 0.1 1.5 1.9
Independent......................................... 479 2.9 0.2 0.2 1.5 2.0
Hospital based \1\.................................. 325 1.6 0.4 0.0 1.5 1.9
Unknown............................................. 12 0.0 0.1 0.3 1.5 1.9
Geographic Location:
Rural............................................... 1,263 6.4 0.2 -0.3 1.5 1.4
Urban............................................... 5,779 38.1 0.2 0.0 1.5 1.8
Census Region:
East North Central.................................. 1,136 6.2 0.2 -0.4 1.5 1.4
East South Central.................................. 569 3.3 0.2 -0.7 1.5 1.1
Middle Atlantic..................................... 769 5.4 0.2 0.1 1.5 1.8
Mountain............................................ 398 2.3 0.2 -0.3 1.5 1.4
New England......................................... 191 1.5 0.2 -0.3 1.5 1.4
Pacific \2\......................................... 837 6.4 0.2 1.1 1.5 2.8
Puerto Rico and Virgin Islands...................... 51 0.3 0.1 4.5 1.5 6.2
South Atlantic...................................... 1,612 10.4 0.3 -0.3 1.5 1.5
West North Central.................................. 492 2.3 0.3 -0.3 1.5 1.5
West South Central.................................. 987 6.5 0.2 -0.1 1.5 1.7
Facility Size:
Less than 4,000 treatments.......................... 1,689 5.9 0.2 0.0 1.5 1.8
4,000 to 9,999 treatments........................... 2,502 11.8 0.2 -0.2 1.5 1.6
10,000 or more treatments........................... 2,776 26.7 0.2 0.1 1.5 1.8
Unknown............................................. 75 0.2 0.4 0.3 1.5 2.2
Percentage of Pediatric Patients:
Less than 2%........................................ 6,938 44.2 0.2 0.0 1.5 1.7
Between 2% and 19%.................................. 41 0.3 0.3 0.0 1.5 1.8
Between 20% and 49%................................. 12 0.0 0.1 -0.4 1.5 1.3
More than 50%....................................... 51 0.0 0.1 0.2 1.5 1.8
--------------------------------------------------------------------------------------------------------------------------------------------------------
\l\ Sensipar and Parsabiv will be paid under the transitional drug add-on payment adjustment for CY 2019. In CY 2016 there was approximately $840
million in spending for Sensipar under Part D.
\2\ Includes hospital-based ESRD facilities not reported to have large dialysis organization or regional chain ownership.
\3\ Includes ESRD facilities located in Guam, American Samoa, and the Northern Mariana Islands.
[[Page 34401]]
Column A of the impact table indicates the number of ESRD
facilities for each impact category and column B indicates the number
of dialysis treatments (in millions). The overall effect of the
proposed changes to the outlier payment policy described in section
II.B.3.g of this proposed rule is shown in column C. For CY 2019, the
impact on all ESRD facilities as a result of the changes to the outlier
payment policy would be a 0.2 percent increase in estimated payments.
Nearly all ESRD facilities are anticipated to experience a positive
effect in their estimated CY 2019 payments as a result of the proposed
outlier policy changes.
Column D shows the effect of the proposed CY 2019 wage indices and
the wage index floor of 0.50. The categories of types of facilities in
the impact table show changes in estimated payments ranging from a -0.7
percent to a 4.5 percent increase due to these proposed updates in the
wage indices.
Column E shows the effect of the proposed CY 2019 ESRD PPS payment
rate update. The proposed ESRD PPS payment rate update is 1.5 percent,
which reflects the proposed ESRDB market basket percentage increase
factor for CY 2019 of 2.2 percent and the proposed MFP adjustment of
0.7 percent.
Column F reflects the overall impact, that is, the effects of the
proposed outlier policy changes, the proposed wage index floor, and
payment rate update. We expect that overall ESRD facilities would
experience a 1.7 percent increase in estimated payments in CY 2019. The
categories of types of facilities in the impact table show impacts
ranging from an increase of 1.1 percent to 6.2 percent in their CY 2019
estimated payments.
b. Effects on Other Providers
Under the ESRD PPS, Medicare pays ESRD facilities a single bundled
payment for renal dialysis services, which may have been separately
paid to other providers (for example, laboratories, durable medical
equipment suppliers, and pharmacies) by Medicare prior to the
implementation of the ESRD PPS. Therefore, in CY 2019, we estimate that
the proposed ESRD PPS would have zero impact on these other providers.
c. Effects on the Medicare Program
We estimate that Medicare spending (total Medicare program
payments) for ESRD facilities in CY 2019 would be approximately $10.6
billion. This estimate takes into account a projected increase in fee-
for-service Medicare dialysis beneficiary enrollment of 1.2 percent in
CY 2019.
d. Effects on Medicare Beneficiaries
Under the ESRD PPS, beneficiaries are responsible for paying 20
percent of the ESRD PPS payment amount. As a result of the projected
1.7 percent overall increase in the proposed CY 2019 ESRD PPS payment
amounts, we estimate that there will be an increase in beneficiary co-
insurance payments of 1.7 percent in CY 2019, which translates to
approximately $60 million.
e. Alternatives Considered
In section II.B.3.b of this proposed rule, we proposed changes to
the wage index floor.
We considered maintaining the existing wage index floor of 0.4000
and also considered increasing the wage floor to 0.5500 and 0.5800.
However, based on the analyses we have conducted, we no longer believe
a wage index floor value of 0.4000 is appropriate and we are concerned
about the impact a higher floor value would have on the base rate.
2. Proposed Payment for Renal Dialysis Services Furnished to
Individuals With AKI
To understand the impact of the changes affecting payments to
different categories of ESRD facilities for renal dialysis services
furnished to individuals with AKI, it is necessary to compare estimated
payments in CY 2018 to estimated payments in CY 2019. To estimate the
impact among various types of ESRD facilities for renal dialysis
services furnished to individuals with AKI, it is imperative that the
estimates of payments in CY 2018 and CY 2019 contain similar inputs.
Therefore, we simulated payments only for those ESRD facilities for
which we are able to calculate both current payments and new payments.
For this proposed rule, we used CY 2017 data from the Part A and
Part B Common Working Files, as of February 16, 2018, as a basis for
Medicare for renal dialysis services furnished to individuals with AKI.
We updated the 2017 claims to 2018 and 2019 using various updates. The
updates to the AKI payment amount are described in section III.B of
this proposed rule. Table 59 shows the impact of the estimated CY 2019
payments for renal dialysis services furnished to individuals with AKI
compared to estimated payments for renal dialysis services furnished to
individuals with AKI in CY 2018.
Table 59--Impact of Proposed Changes in Payment for Renal Dialysis Services Furnished to Individuals With AKI
for CY 2019 Proposed Rule
----------------------------------------------------------------------------------------------------------------
Effect of
2019 changes Effect of
Number of in wage 2019 changes Effect of
Facility type Number of treatments index, wage in payment total 2019
facilities (in thousands) floor, and rate update proposed
labor-related (%) changes (%)
share (%)
(A) (B) (C) (D) (E)
----------------------------------------------------------------------------------------------------------------
All Facilities.................. 3,861 156.9 0.0 1.5 1.5
Type
Freestanding................ 3,775 153.7 0.0 1.5 1.5
Hospital based.............. 86 3.2 -0.1 1.5 1.4
Ownership Type
Large dialysis organization. 3,269 134.8 0.0 1.5 1.5
Regional chain.............. 416 15.1 0.0 1.5 1.5
Independent................. 119 4.5 0.1 1.5 1.6
Hospital based \1\.......... 55 2.5 0.0 1.5 1.5
Unknown..................... 2 0.0 -0.3 1.5 1.2
Geographic Location
Rural....................... 691 25.7 -0.2 1.5 1.3
[[Page 34402]]
Urban....................... 3,170 131.2 0.1 1.5 1.6
Census Region
East North Central.......... 706 29.9 -0.3 1.5 1.2
East South Central.......... 310 10.5 -0.6 1.5 0.9
Middle Atlantic............. 401 16.5 0.0 1.5 1.5
Mountain.................... 244 11.0 -0.2 1.5 1.3
New England................. 123 4.7 -0.4 1.5 1.1
Pacific \2\................. 482 27.0 1.1 1.5 2.7
Puerto Rico and Virgin 2 0.0 6.0 1.5 7.6
Islands....................
South Atlantic.............. 872 34.1 -0.3 1.5 1.2
West North Central.......... 251 7.7 -0.2 1.5 1.3
West South Central.......... 470 15.6 -0.2 1.5 1.3
Facility Size
Less than 4,000 treatments.. 720 25.5 0.2 1.5 1.7
4,000 to 9,999 treatments... 1,403 51.4 -0.2 1.5 1.3
10,000 or more treatments... 1,716 79.1 0.1 1.5 1.6
Unknown..................... 22 1.0 0.3 1.5 1.8
Percentage of Pediatric Patients
Less than 2%................ 3,860 156.7 0.0 1.5 1.5
Between 2% and 19%.......... 1 0.2 0.6 1.5 2.1
Between 20% and 49%......... 0 0.0 0.0 0.0 0.0
More than 50%............... 0 0.0 0.0 0.0 0.0
----------------------------------------------------------------------------------------------------------------
Column A of the impact table indicates the number of ESRD
facilities for each impact category and column B indicates the number
of AKI dialysis treatments (in thousands).
Column C shows the effect of the proposed CY 2019 wage indices and
the wage index floor of 0.50. The categories of types of facilities in
the impact table show changes in estimated payments of a 1.5 percent
increase due to these proposed updates in the wage indices.
Column D shows the effect of the proposed CY 2019 ESRD PPS payment
rate update. The proposed ESRD PPS payment rate update is 1.5 percent,
which reflects the proposed ESRDB market basket percentage increase
factor for CY 2019 of 2.2 percent and the MFP adjustment of 0.7
percent.
Column E reflects the overall impact, that is, the effects of the
proposed wage index floor and payment rate update. We expect that
overall ESRD facilities would experience a 1.5 percent increase in
estimated payments in CY 2019. The categories of types of facilities in
the impact table show impacts ranging from an increase of 0.0 percent
to 7.6 percent in their CY 2019 estimated payments.
b. Effects on Other Providers
Under section 1834(r) of the Act, as added by section 808(b) of
TPEA, we are proposing to update the payment rate for renal dialysis
services furnished by ESRD facilities to beneficiaries with AKI. The
only two Medicare providers authorized to provide these outpatient
renal dialysis services are hospital outpatient departments and ESRD
facilities. The decision about where the renal dialysis services are
furnished is made by the patient and his or her physician. Therefore,
this proposal will have zero impact on other Medicare providers.
c. Effects on the Medicare Program
We estimate approximately $30.0 million would be paid to ESRD
facilities in CY 2019 as a result of AKI patients receiving renal
dialysis services in the ESRD facility at the lower ESRD PPS base rate
versus receiving those services only in the hospital outpatient setting
and paid under the outpatient prospective payment system, where
services were required to be administered prior to the TPEA.
d. Effects on Medicare Beneficiaries
Currently, beneficiaries have a 20 percent co-insurance obligation
when they receive AKI dialysis in the hospital outpatient setting. When
these services are furnished in an ESRD facility, the patients would
continue to be responsible for a 20 percent co-insurance. Because the
AKI dialysis payment rate paid to ESRD facilities is lower than the
outpatient hospital PPS's payment amount, we would expect beneficiaries
to pay less co-insurance when AKI dialysis is furnished by ESRD
facilities.
e. Alternatives Considered
As we discussed in the CY 2017 ESRD PPS proposed rule (81 FR
42870), we considered adjusting the AKI payment rate by including the
ESRD PPS case-mix adjustments, and other adjustments at section
1881(b)(14)(D) of the Act, as well as not paying separately for AKI
specific drugs and laboratory tests. We ultimately determined that
treatment for AKI is substantially different from treatment for ESRD
and the case-mix adjustments applied to ESRD patients may not be
applicable to AKI patients and as such, including those policies and
adjustment would be inappropriate. We continue to monitor utilization
and trends of items and services furnished to individuals with AKI for
purposes of refining the payment rate in the future. This monitoring
would assist us in developing knowledgeable, data-driven proposals.
[[Page 34403]]
3. ESRD QIP
a. Effects of the PY 2022 ESRD QIP on ESRD Facilities
The ESRD QIP provisions are intended to prevent possible reductions
in the quality of ESRD dialysis facility services provided to
beneficiaries. The methodology that we are proposing to use to
determine a facility's TPS for the PY 2022 ESRD QIP is described in
section IV.C of this proposed rule. Any reductions in ESRD PPS payments
as a result of a facility's performance under the PY 2022 ESRD QIP
would apply to ESRD PPS payments made to the facility for services
furnished in CY 2022.
For the PY 2022 ESRD QIP, we estimate that, of the 6,814 dialysis
facilities (including those not receiving a TPS) enrolled in Medicare,
approximately 44.31 percent or 2,896 of the facilities would receive a
payment reduction for PY 2022. The total payment reduction for all of
the 2,896 facilities expected to receive a reduction is approximately
$38,114,871.88. Facilities that do not receive a TPS do not receive a
payment reduction.
Table 60 shows the overall estimated distribution of payment
reductions resulting from the PY 2022 ESRD QIP.
Table 60--Estimated Distribution of PY 2022 ESRD QIP Payment Reductions
------------------------------------------------------------------------
Number of Percent of
Payment reduction facilities facilities
------------------------------------------------------------------------
0.0%.................................... 3,639 55.68
0.5%.................................... 1,351 20.67
1.0%.................................... 923 14.12
1.5%.................................... 437 6.69
2.0%.................................... 185 2.83
------------------------------------------------------------------------
Note: This table excludes 279 facilities that we estimate will not
receive a payment reduction because they will not report enough data
to receive a TPS.
To estimate whether a facility would receive a payment reduction in
PY 2022, we scored each facility on achievement and improvement on
several measures we have previously finalized and for which there were
available data from CROWNWeb and Medicare claims. Measures used for the
simulation are shown in Table 61.
Table 61--Data Used To Estimate PY 2022 ESRD QIP Payment Reductions
----------------------------------------------------------------------------------------------------------------
Period of time used to
calculate achievement
Measure thresholds, performance Performance period
standards, benchmarks, and
improvement thresholds
----------------------------------------------------------------------------------------------------------------
VAT:
Standardized Fistula Rate......... Jan 2015-Dec 2015............. Jan 2016-Dec 2016.
Long Term Catheter Rate........... Jan 2015-Dec 2015............. Jan 2016-Dec 2016.
Kt/V Dialysis Adequacy Comprehensive.. Jan 2015-Dec 2015............. Jan 2016-Dec 2016.
Hypercalcemia......................... Jan 2015-Dec 2015............. Jan 2016-Dec 2016.
STrR.................................. Jan 2015-Dec 2015............. Jan 2016-Dec 2016.
ICH CAHPS Survey...................... Jan 2015-Dec 2015............. Jan 2016-Dec 2016.
SRR................................... Jan 2015-Dec 2015............. Jan 2016-Dec 2016.
NHSN BSI.............................. Jan 2015-Dec 2015............. Jan 2016-Dec 2016.
SHR................................... Jan 2015-Dec 2015............. Jan 2016-Dec 2016.
----------------------------------------------------------------------------------------------------------------
For all measures except STrR and SHR, clinical measure topic areas
with less than 11 cases for a facility were not included in that
facility's TPS. For SHR and STrR, facilities were required to have at
least 5 and 10 patient-years at risk, respectively, in order to be
included in the facility's TPS. Each facility's TPS was compared to an
estimated minimum TPS and an estimated payment reduction table that
were consistent with the proposals outlined in section IV.B.3.b of this
proposed rule. Facility reporting measure scores were estimated using
available data from CY 2015 and 2016. Facilities were required to have
a score on at least one clinical measure to receive a TPS.
To estimate the total payment reductions in PY 2022 for each
facility resulting from this proposed rule, we multiplied the total
Medicare payments to the facility during the 1-year period between
January 2016 and December 2016 by the facility's estimated payment
reduction percentage expected under the ESRD QIP, yielding a total
payment reduction amount for each facility: Total ESRD payment in
January 2016 through December 2016 times the estimated payment
reduction percentage.
Table 62 shows the estimated impact of the finalized ESRD QIP
payment reductions to all ESRD facilities for PY 2022. The table
details the distribution of ESRD facilities by facility size (both
among facilities considered to be small entities and by number of
treatments per facility), geography (both urban/rural and by region),
and by facility type (hospital based/freestanding facilities). Given
that the performance periods used for these calculations will differ
from those we propose to use for the PY 2022 ESRD QIP, the actual
impact of the PY 2022 ESRD QIP may vary significantly from the values
provided here.
[[Page 34404]]
Table 62--Impact of Proposed QIP Payment Reductions to ESRD Facilities for PY 2022
----------------------------------------------------------------------------------------------------------------
Number of Payment
Number of Number of facilities reduction
Number of treatments facilities expected to (percent
facilities 2016 (in with QIP receive a change in
millions) score payment total ESRD
reduction payments)
----------------------------------------------------------------------------------------------------------------
All Facilities.............. 6,814 45.1 6,535 2,896 -0.40
Facility Type:
Freestanding................ 6,383 42.7 6,149 2,740 -0.40
Hospital-based.............. 431 2.4 386 156 -0.39
Ownership Type:
Large Dialysis.............. 5,110 34.3 4,945 2,131 -0.37
Regional Chain.............. 871 5.8 841 341 -0.36
Independent................. 487 3.1 448 291 -0.69
Hospital-based (non-chain).. 341 1.8 301 133 -0.44
Unknown..................... 5 0.0 0 0 ..............
Facility Size:
Large Entities.............. 5,981 40.1 5,786 2,472 -0.37
Small Entities \1\.......... 828 5.0 749 424 -0.59
Unknown..................... 5 0.0 0 0 ..............
Rural Status:
(1) Yes..................... 1,243 6.5 1,212 380 -0.25
(2) No...................... 5,571 38.6 5,323 2,516 -0.43
Census Region:
Northeast................... 933 7.0 894 462 -0.48
Midwest..................... 1,593 8.6 1,504 538 -0.30
South....................... 3,048 20.4 2,929 1,463 -0.45
West........................ 1,183 8.6 1,151 389 -0.28
U.S. Territories \2\........ 57 0.4 57 44 -0.99
Census Division:
Unknown..................... 7 0.1 7 4 -0.57
East North Central.......... 1,109 6.4 1,037 403 -0.34
East South Central.......... 551 3.4 534 244 -0.41
Middle Atlantic............. 742 5.5 710 390 -0.52
Mountain.................... 382 2.2 370 82 -0.17
New England................. 191 1.5 184 72 -0.30
Pacific..................... 801 6.3 781 307 -0.34
South Atlantic.............. 1,572 10.5 1,498 774 -0.47
West North Central.......... 484 2.3 467 135 -0.22
West South Central.......... 925 6.5 897 445 -0.45
U.S. Territories \2\........ 50 0.4 50 40 -1.05
Facility Size (number of total
treatments):
Less than 4,000 treatments.. 1,127 2.0 900 301 -0.33
4,000-9,999 treatments...... 2,514 11.6 2,502 978 -0.35
Over 10,000 treatments...... 3,007 30.6 3,007 1,558 -0.45
Unknown..................... 166 0.9 126 59 -0.50
----------------------------------------------------------------------------------------------------------------
\1\ Small Entities include hospital-based and satellite facilities, and non-chain facilities based on DFC self-
reported status.
\2\ Includes American Samoa, Guam, Northern Mariana Islands, Puerto Rico, and Virgin Islands.
b. Effects on Other Providers
The ESRD QIP is applicable to dialysis facilities. We are aware
that several of our measures impact other providers. For example, with
the introduction of the SRR clinical measure in PY 2017 and the SHR
clinical measure in PY 2020, we anticipate that hospitals may
experience financial savings as dialysis facilities work to reduce the
number of unplanned readmissions and hospitalizations. We are exploring
various methods to assess the impact these measures have on hospitals
and other outpatient facilities, such as through the impacts of the
Hospital Readmissions Reduction Program and the Hospital-Acquired
Conditions Reduction Program, and we intend to continue examining the
interactions between our quality programs to the greatest extent
feasible.
c. Effects on the Medicare Program
For PY 2022, we estimate that ESRD QIP would contribute
approximately $38,114,872 in Medicare savings. For comparison, Table 63
shows the payment reductions that we estimate will be achieved by the
ESRD QIP from PY 2017 through PY 2022.
Table 63--Estimated Payment Reductions Payment Year 2017 Through 2022
------------------------------------------------------------------------
Estimated payment reductions
Payment year (citation)
------------------------------------------------------------------------
PY 2022............................. $38,114,872.
PY 2021............................. $37,872,521.
PY 2020............................. $31,581,441 (81 FR 77960).
PY 2019............................. $15,470,309 (80 FR 69074).
PY 2018............................. $11,576,214 (79 FR 66257).
PY 2017............................. $11,954,631 (79 FR 66255).
------------------------------------------------------------------------
Additionally, we estimate that the proposed removal of four
reporting measures beginning with PY 2021 would reduce the information
collection burden by $12 million.
d. Effects on Medicare Beneficiaries
The ESRD QIP is applicable to dialysis facilities. Since the
Program's
[[Page 34405]]
inception, there is evidence of improved performance on ESRD QIP
measures. As we stated in the CY 2018 ESRD PPS final rule, one
objective measure we can examine to demonstrate the improved quality of
care over time is the improvement of performance standards (82 FR
50795). As the ESRD QIP has refined its measure set and as facilities
have gained experience with the measures included in the Program,
performance standards have generally continued to rise. We view this as
evidence that facility performance (and therefore the quality of care
provided to Medicare beneficiaries) is objectively improving. To date
we have been unable to examine the impact of the ESRD QIP on Medicare
beneficiaries including the financial impact of the Program or the
impact on the health outcomes of beneficiaries. However, in future
years we are interested in examining these impacts through the addition
of new measures to the Program and through the analysis of available
data from our existing measures.
Additionally, in this proposed rule, we are proposing changes to
the ESRD QIP to reflect the Meaningful Measures Initiative's
priorities, including focusing our quality measure set on more outcome-
oriented, less burdensome quality measures. We believe that the changes
we are proposing, which include a reduced information collection burden
of $12 million for PY 2021, will help focus the Program's measurements
on the most clinically appropriate topics while ensuring that
facilities are not unduly burdened by quality reporting requirements.
e. Alternatives Considered
As discussed in section IV.B.3.b of this proposed rule, we
considered two alternatives for reassigning measure weights in
situations where a facility does not receive a score on at least one
measure but is still eligible to receive a TPS score: (1) Redistribute
the weight of missing measures evenly across the remaining measures
(that is, we would divide up the missing measure's weight equally
across the remaining measures), and (2) redistribute the weight of
missing measures proportionately across the remaining measures, based
on their weight as a percentage of TPS (that is, when dividing up a
missing measure's weight, we would shift a larger share of that weight
to measures with a higher assigned weight; measures with a lower weight
would gain a smaller portion of the missing measure's weight).
While the first policy alternative is administratively simpler to
implement, we rejected this option because it would not maintain the
Meaningful Measure Initiative priorities in the measure weights as
effectively as the second policy alternative. In section IV.B.3 of this
proposed rule, we propose an approach for reweighting the domains and
measures in the ESRD QIP in PY 2021 based on the priorities identified
in the Meaningful Measures Initiative. For example, we propose to
assign a higher weight to measures that focus on outcomes and a lower
weight to measures that focus on clinical processes. If we adopted the
first policy alternative, measures that we consider a lower priority
would represent a much larger share of TPS relative to measures that we
consider a higher priority, in situations where a facility is missing
one or more measure scores. Under the second policy alternative, when a
facility is not scored on a measure, the weight of lower priority
measures relative to higher priority measures would be more consistent
with the weights assigned to the complete measure set. For example, if
a facility was ineligible to receive a score on all the measures in
both the Clinical Care Measure Domain and the Safety Measure Domain in
PY 2022, the weight of the Clinical Depression and Follow-Up Measure--
the lowest weight remaining in the measure set would increase from 2.5
percent of the TPS to 13.5 percent of the TPS under the first policy
alternative and would increase from 2.5 percent of the TPS to 5.6
percent of the TPS under the second policy alternative. Under the same
scenario, the weight of the ICH CAHPS measure--the highest weight
remaining in the measure set would increase from 15 percent to 26
percent under the first policy alternative and would increase from 15
percent to 33.33 percent under the second policy alternative.
4. DMEPOS
a. Changes to the Durable Medical Equipment, Prosthetics, Orthotics,
and Supplies (DMEPOS) Competitive Bidding Program (CBP)
i. Effects on Other Providers
We believe that using the maximum winning bid amount and lead item
pricing to establish the SPAs and paying most contract suppliers more
than they bid helps to ensure beneficiary access to DMEPOS and long
term sustainability of the CBP. This methodology has the advantage of
being easily understood by bidding suppliers. Further, lead item
pricing simplifies the supplier's bidding process. We anticipate that
more suppliers would compete given the simpler rules and the fact that
all winning bidders would be paid at least as much as they bid.
Therefore, we believe that this proposal would have a positive economic
impact on bidding suppliers.
ii. Effects on the Medicare Program
This proposed rule, which proposes to base single payment amounts
on the maximum winning bid and to implement lead item pricing in the
Medicare DMEPOS CBP, is estimated by rounding to the nearer 5 million
dollars and is expected to cost $10 million in Medicare benefit
payments for the 5-year period beginning January 1, 2019 and ending
September 30, 2023. The estimate uses the current baseline which bases
the SPAs on the median of winning bids. The cost of the proposal is the
sum of yearly impacts. Each year's impact is the product of the
projected spending on items subject to competitive bidding furnished in
former CBAs for that year multiplied by the percentage increase in
aggregate spending due to the change in the payment rules, in this case
0.2 percent.
In considering a future in which the current regulations remain in
place (the regulatory baseline), we note that over the long run, a
potential supplier would be motivated to continue bidding if its
expenses are below its expectation for the median of the winning bids.
As such, this long run--in which suppliers have learned the likely
bidding outcomes--could result in no contracts or payments at SPA
levels set too low to ensure access. In this scenario, bidders might
have minimal incentive to change their bidding behavior based upon a
policy switch from median to maximum winning bid to determine SPAs.
After all, the baseline pricing method would award contracts to the
suppliers with bids below the median at prices that at least cover
their production costs. Additionally, it is possible that the
behavioral response of bidders who, knowing that the SPA would be set
based on the maximum winning bid, would respond by bidding more
competitively in a CBP round where the payment is determined based on
the maximum winning bid. The trade-off between setting the SPA using
the maximum winning bid and the fact that bids are more competitive,
hence lowering costs, tend to balance one another out so that the
resulting SPAs would be expected to be similar to the SPAs set using
median bid. This trade-off is termed Revenue Equivalency with the
expected result being that bidders would respond in a manner that would
mitigate the SPA determination methodology change to maximum winning
bid. In other words, a relatively low impact, such as that presented in
[[Page 34406]]
this section, could be reasonable considering Revenue Equivalency.
As noted earlier in the preamble, median bid levels have trended
lower with each successive round of competition. To the extent that
factors impacting the competition are still developing, the impacts of
this policy proposal may be underestimated. We request comment that
would allow for refinement of the impact estimate for the final rule.
We also seek comment and information on how much DMEPOS production
costs change from year to year; whether the changes likely to be common
across suppliers, or at least well known amongst them. We would also
seek comment and information on the duration of time the bidding
process requires to reach steady participation so that payment outcomes
occur due to the implementation of new policies for the subsequent
rounds of CBP (such as the surety bond policy that was part of the 2016
ESRD PPS final rule).
iii. Effects on Medicare Beneficiaries
This proposed rule would base single payment amounts on the maximum
winning bid and implement lead item pricing in the Medicare DMEPOS CBP.
The effects are estimated by rounding to the nearer 5 million dollars
and to cost roughly $3 million in Medicare beneficiary cost sharing for
the 5-year period beginning January 1, 2019 and ending September 30,
2023. The Medicaid impacts for cost sharing for the dual eligibles for
the federal and state portions are assumed to be $0 million. Section
503 of the Consolidated Appropriations Act of 2016 and section 5002 of
the Cures Act, added section 1903(i)(27) to the Act, which prohibits
federal Medicaid reimbursement to states for certain DME expenditures
that are, in the aggregate, in excess of what Medicare would have paid
for such items. The requirement took effect January 1, 2018. Many
states have started limiting payment for DME based on the Medicare
rates, but the majority of the states do not currently have the ability
to use rates that apply to only parts of the state, such as rates paid
in CBAs or rural areas of the state.
iv. Alternatives Considered
One alternative we considered was to continue the Medicare DMEPOS
CBP with no changes. This would have no economic impact on the Medicare
program or its beneficiaries.
Another alternative is to implement lead item pricing based on
maximum winning bids as proposed, but offer contracts based on overall
demand for items and services and unadjusted supplier capacity. We
believe that currently more contracts are offered under the program
than are needed to meet overall demand for items and services, so this
is potentially an option we could consider. For example, we currently
limit a supplier's capacity to 20 percent of projected demand. We could
eliminate this limit which could result in less winning contracts being
offered. However, the risk is that the number of contract suppliers
could be reduced too much and could lead to access problems.
b. Adjustments to DMEPOS Fee Schedule Amounts Based on Information From
the DMEPOS CBP
In the event of a gap in the CBP beginning January 1, 2019, any
enrolled supplier can furnish the items currently subject to
competitive bidding in former CBAs and non-CBAs. The suppliers
furnishing items in former CBAs would be paid slightly more than the
current SPAs based on the median of winning bids because the proposed
fee schedule adjustment methodology for items and services furnished in
former CBAs would adjust the fee schedule amounts for such items and
services based on the current SPAs plus a CPI-U update. We understand
this proposal to be consistent with the requirements of section
1834(a)(1)(F) of the Act. The suppliers furnishing items in non-CBAs
would be paid based on current fee schedule amounts.
i. Effects on the Medicare Program
This rule proposes transitional fee schedule adjustments for DMEPOS
items and services furnished on or after January 1, 2019 for areas that
are currently CBAs and for areas that are currently not CBAs.
Altogether, this rule proposes three different fee schedule adjustment
methodologies depending on the area in which the items and services are
furnished: (1) One fee schedule adjustment methodology for DME items
and services furnished on or after January 1, 2019, in areas that are
currently CBAs, in the event of a gap in the CBP; (2) another fee
schedule adjustment methodology for items and services furnished from
January 1, 2019 through December 31, 2020, in areas that are currently
not CBAs, are not rural areas, and are located in the contiguous U.S.;
and (3) another fee schedule adjustment methodology for items and
services furnished from January 1, 2019 through December 31, 2020, in
areas that are currently not CBAs and are either rural areas or non-
contiguous areas. The impacts for this part of the rule are calculated
against a baseline that assumes payments for items furnished in CBAs
and non-CBAs are done consistent with the rules in place as of January
1, 2018. The impacts are expected to cost $1,050 million dollars in
Medicare benefit payments for the 2-year period beginning January 1,
2019 and ending December 31, 2020.
ii. Effects on Medicare Beneficiaries
This rule proposes transitional fee schedule adjustments for DMEPOS
items and services furnished on or after January 1, 2019 in areas that
are currently CBAs and for areas that are currently not CBAs.
Altogether, this rule proposes three different fee schedule adjustment
methodologies depending on the area in which the items and services are
furnished: (1) One fee schedule adjustment methodology for DME items
and services furnished on or after January 1, 2019, in areas that are
currently CBAs, in the event of a gap in the CBP; (2) another fee
schedule adjustment methodology for items and services furnished from
January 1, 2019, through December 31, 2020, in areas that are currently
not CBAs, are not rural areas, and are located in the contiguous U.S.;
and (3) another fee schedule adjustment methodology for items and
services furnished from January 1, 2019 through December 31, 2020, in
areas that are currently not CBAs and are either rural areas or non-
contiguous areas.
The estimated impacts for this part of the rule are calculated
against a baseline that assumes payments for items furnished in CBAs
and non-CBAs are done consistent with the rules in place as of January
1, 2018. The impacts are expected to cost $265 million in Medicare
beneficiary cost sharing beginning January 1, 2019. The Medicaid
impacts for cost sharing for the beneficiaries enrolled in the Medicare
Part B and Medicaid programs for the federal and state portions are
assumed to be $45 million and $30 million, respectively.
iii. Alternatives Considered
One alternative we considered but did not propose was to establish
a fee schedule adjustment methodology that uses the blended (75
unadjusted/25 adjusted) rates in all super rural and non-contiguous
areas, and the blended (25 unadjusted/75 adjusted) rates in all other
non-CBAs. In this alternative, the fee schedule amount for items
furnished in current CBAs would be based on the current SPAs updated by
the projected change in the CPI-U. This alternative is estimated by
rounding to the nearer 5 million dollars and is expected to cost $30
million in Medicare benefit payments and $5 million in Medicare
beneficiary cost sharing beginning
[[Page 34407]]
January 1, 2019. The Medicaid impacts for cost sharing for the dual
eligibles for the federal and state portions are assumed to be $0
million and $0 million, respectively.
Another alternative we considered but did not propose was to
maintain the current SPA determination methodology, which bases the SPA
on the median of winning bids, for the CBAs and maintain the current
fee schedule adjustment methodologies for the non-CBAs. This
alternative is estimated by rounding to the nearer 5 million dollars
and to save $1,140 million in Medicare benefit payments and $280
million in Medicare beneficiary cost sharing beginning January 1, 2019.
The Medicaid impacts for cost sharing for the dual eligibles for the
federal and state portions are assumed to be $50 million and $40
million, respectively.
We request public comments on these alternatives.
c. New Payment Classes for Oxygen and Oxygen Equipment and Methodology
for Ensuring Annual Budget Neutrality of the New Classes
i. Effects on Other Providers
Suppliers of high-flow oxygen equipment and oxygen contents would
get paid more when furnishing oxygen to the high-risk beneficiaries who
have been prescribed high-flow oxygen. The budget neutrality offset
applied to all oxygen classes would lessen the offset applied to the
stationary oxygen equipment fee schedule amount, which would be to the
advantage of suppliers that furnish only stationary oxygen equipment.
ii. Effects on the Medicare Program
No fiscal impact due to the annual budget neutrality calculation.
iii. Effects on Medicare Beneficiaries
No fiscal impact due to the annual budget neutrality calculation.
iv. Alternatives Considered
One alternative we considered but did not propose was to apply the
budget neutrality offset to all DME, not just to the oxygen classes as
proposed. This would have no fiscal impact because it would be budget
neutral.
Another alternative we considered but did not propose was to
eliminate OGPE classes added in 2006 and resort back to modality
neutral payments for both stationary and portable equipment. This
alternative would have no fiscal impact, either.
d. New Payment Classes for Oxygen and Oxygen Equipment and Methodology
for Ensuring Annual Budget Neutrality of the New Classes
i. Effects on Other Providers
Suppliers of high-flow oxygen equipment and oxygen contents would
get paid more when furnishing oxygen to the high-risk beneficiaries who
have been prescribed high-flow oxygen. The budget neutrality offset
applied to all oxygen classes would lessen the offset applied to the
stationary oxygen equipment fee schedule amount, which would be to the
advantage of suppliers that furnish only stationary oxygen equipment.
ii. Effects on the Medicare Program
No fiscal impact due to the annual budget neutrality calculation.
iii. Effects on Medicare Beneficiaries
No fiscal impact due to the annual budget neutrality calculation.
iv. Alternatives Considered
One alternative we considered but did not propose was to apply the
budget neutrality offset to all DME, not just to the oxygen classes as
proposed. This would have no fiscal impact because it would be budget
neutral.
Another alternative we considered but did not propose was to
eliminate OGPE classes added in 2006 and resort back to modality
neutral payments for both stationary and portable equipment. This
alternative would have no fiscal impact, either.
e. Payment for Multi-Function Ventilators
i. Effects on Other Providers
We expect that the impact of our proposal to classify the multi-
function ventilator item in the frequent and substantial servicing
payment category and our proposed payment rule for determining the
monthly rental fee schedule amount would overall result in a slight
increase in payments to suppliers since the suppliers would continue to
receive the monthly rental amount for the base ventilator item plus an
additional average amount for the integrated functions. In addition,
the supplier would retain ownership of the multi-function ventilator
that is used and can furnish the equipment for additional separate
rental periods to other beneficiaries.
ii. Effects on the Medicare Program
We expect our proposed payment rule for multi-function ventilators
to be a 5-year cost of $15 million to the Medicare program as the
proposed payment method would result in suppliers continuing to receive
the monthly rental amount for the base ventilator item plus an
additional average amount for the integrated functions.
iii. Effects on Medicare Beneficiaries
We expect the proposal would have a negligible effect on Medicare
beneficiaries' copayments.
iv. Alternatives Considered
We considered two alternatives for our proposed payment rule for
multi-function ventilators. One alternative payment approach is to pay
a ventilator base item monthly rental amount and also pay separate,
add-on monthly rental payments for each of the four additional
functions of the item. This alternative is expected to have no cost to
the beneficiaries or the Medicare program. Another alternative payment
approach is to establish a monthly rental payment amount for a
ventilator plus the monthly cost of all four additional functions.
However, this payment alternative would only be allowed if the patient
requires all five functions of the multi-function ventilator. This
alternative is expected to have no cost to the beneficiaries or the
Medicare program. Each of these alternatives did not approach the new
multi-function ventilator as an integrated item that encompasses
efficiencies for the suppliers, beneficiaries and the program. Also,
neither of these two alternatives would address payment for multi-
function ventilators in a different manner than paying for five
separate items that perform the same functions. Thus, we did not elect
to pursue these alternatives.
f. Including the Northern Mariana Islands in Future National Mail Order
CBPs
Because this proposal would not have a fiscal impact, no detailed
economic analysis is necessary.
C. Accounting Statement
As required by OMB Circular A-4 (available at https://www.whitehouse.gov/omb/circulars_a004_a-4), in Table 64, we have
prepared an accounting statement showing the classification of the
transfers and costs associated with the various provisions of this
proposed rule.
[[Page 34408]]
Table 64--Accounting Statement: Classification of Estimated Transfers
and Costs/Savings
------------------------------------------------------------------------
ESRD PPS and AKI
-------------------------------------------------------------------------
Category Transfers
------------------------------------------------------------------------
Annualized Monetized Transfers......... $190 million.
From Whom to Whom...................... Federal government to ESRD
providers.
------------------------------------------------------------------------
Category Transfers
------------------------------------------------------------------------
Increased Beneficiary Co-insurance $30 million.
Payments.
From Whom to Whom...................... Beneficiaries to ESRD
providers.
------------------------------------------------------------------------
ESRD QIP for PY 2021
------------------------------------------------------------------------
Category Transfers
------------------------------------------------------------------------
Annualized Monetized Transfers......... -$38 million.
From Whom to Whom...................... Federal government to ESRD
providers.
------------------------------------------------------------------------
Category Costs
------------------------------------------------------------------------
Annualized Monetized ESRD Provider $181 million.
Costs.
The PY 2021 policy changes
would result in an estimated
$12 million in savings.
------------------------------------------------------------------------
ESRD QIP for PY 2022
------------------------------------------------------------------------
Category Transfers
------------------------------------------------------------------------
Annualized Monetized Transfers......... -$38 million.
From Whom to Whom...................... Federal government to ESRD
providers.
------------------------------------------------------------------------
Category Costs
------------------------------------------------------------------------
Annualized Monetized ESRD Provider $202 million.
Costs.
The PY 2022 policy changes
would result in an estimated
$21 million increase.
------------------------------------------------------------------------
DME Provisions: Competitive Bidding Reforms Annualization Period 2019 to
2023
------------------------------------------------------------------------
Transfers
Category -----------------------------------------------------
Estimates Year dollar Discount rate
----------------------------------------------------------------------------------------------------------------
Annualized Monetized Transfer on Beneficiary Cost Sharing $2 2019 7%
(in $Millions)........................................... $2 2019 3%
----------------------------------------------------------------------------------------------------------------
From Whom to Whom......................................... Beneficiaries to Medicare providers
----------------------------------------------------------------------------------------------------------------
Transfers
-----------------------------------------------------
Estimates Year dollar Discount rate
----------------------------------------------------------------------------------------------------------------
Annualized Monetized Transfer Payments (in $Millions)..... $0.6 2019 7%
$0.6 2019 3%
----------------------------------------------------------------------------------------------------------------
From Whom to Whom......................................... Federal government to Medicare providers.
----------------------------------------------------------------------------------------------------------------
DME Provisions: Transitional Fee Adjustments Annualization Period 2019 to 2020
----------------------------------------------------------------------------------------------------------------
Category Transfers
-----------------------------------------------------
Estimates Year dollar Discount rate
----------------------------------------------------------------------------------------------------------------
Annualized Monetized Transfer on Beneficiary Cost Sharing $506 2019 7%
(in $Millions)........................................... $516 2019 3%
----------------------------------------------------------------------------------------------------------------
From Whom to Whom......................................... Beneficiaries to Medicare providers.
----------------------------------------------------------------------------------------------------------------
Transfers
-----------------------------------------------------
Estimates Year dollar Discount rate
----------------------------------------------------------------------------------------------------------------
Annualized Monetized Transfer Payments (in $Millions)..... $128 2019 7%
$130 2019 3%
----------------------------------------------------------------------------------------------------------------
From Whom to Whom......................................... Federal government to Medicare providers.
----------------------------------------------------------------------------------------------------------------
[[Page 34409]]
In accordance with the provisions of Executive Order 12866, this
proposed rule was reviewed by the Office of Management and Budget.
XVII. Regulatory Flexibility Act Analysis
The Regulatory Flexibility Act (September 19, 1980, Pub. L. 96-354)
(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. Approximately 11 percent of ESRD dialysis
facilities are considered small entities according to the Small
Business Administration's (SBA) size standards, which classifies small
businesses as those dialysis facilities having total revenues of less
than $38.5 million in any 1 year. Individuals and states are not
included in the definitions of a small entity. For more information on
SBA's size standards, see the Small Business Administration's Web site
at https://www.sba.gov/content/small-business-size-standards (Kidney
Dialysis Centers are listed as 621492 with a size standard of $38.5
million).
We do not believe ESRD facilities are operated by small government
entities such as counties or towns with populations of 50,000 or less,
and therefore, they are not enumerated or included in this estimated
RFA analysis. Individuals and States are not included in the definition
of a small entity.
For purposes of the RFA, we estimate that approximately 11 percent
of ESRD facilities are small entities as that term is used in the RFA
(which includes small businesses, nonprofit organizations, and small
governmental jurisdictions). This amount is based on the number of ESRD
facilities shown in the ownership category in Table 58. Using the
definitions in this ownership category, we consider 479 facilities that
are independent and 325 facilities that are shown as hospital-based to
be small entities. The ESRD facilities that are owned and operated by
Large Dialysis Organizations (LDOs) and regional chains would have
total revenues of more than $38.5 million in any year when the total
revenues for all locations are combined for each business (individual
LDO or regional chain), and are not, therefore, included as small
entities.
For the ESRD PPS updates proposed in this rule, a hospital-based
ESRD facility (as defined by type of ownership, not by type of dialysis
facility) is estimated to receive a 1.9 percent increase in payments
for CY 2019. An independent facility (as defined by ownership type) is
also estimated to receive a 2.0 percent increase in payments for CY
2019.
For AKI dialysis, we are unable to estimate whether patients would
go to ESRD facilities, however, we have estimated there is a potential
for $37.5 million in payment for AKI dialysis treatments that could
potentially be furnished in ESRD facilities.
For ESRD QIP, we estimate that of the 2,896 ESRD facilities
expected to receive a payment reduction in the PY 2022 ESRD QIP, 424
are ESRD small entity facilities. We present these findings in Table 60
(``Estimated Distribution of PY 2022 ESRD QIP Payment Reductions'') and
Table 61 (``Impact of Proposed QIP Payment Reductions to ESRD
Facilities for PY 2022''). We estimate that the payment reductions
would average approximately $13,161 per facility across the 2,896
facilities receiving a payment reduction, and $14,665 for each small
entity facility. We also estimate that there are 828 small entity
facilities in total, and that the aggregate ESRD PPS payments to these
facilities would decrease 0.59 percent in PY 2022.
For DMEPOS, small entities include small businesses, nonprofit
organizations, and small governmental jurisdictions. Approximately 85
percent of the DME industry are considered small businesses according
to the Small Business Administration's size standards with total
revenues of $6.5 million or less in any 1 year and a small percentage
are nonprofit organizations. Individuals and states are not included in
the definition of a small entity. As discussed in section VI of this
proposed rule, this rule would provide additional revenue to a
substantial number of small rural entities, especially for certain
items furnished outside of the former competitively bid areas.
Therefore, the Secretary has determined that these proposed rules would
have a significant economic impact on a substantial number of small
entities.
Therefore, the Secretary has determined that these proposed rules
would have a significant economic impact on a substantial number of
small entities. 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'' only if greater
than 5 percent of providers reach a threshold of 3 to 5 percent or more
of total revenue or total costs. We solicit comment on the RFA analysis
provided.
In addition, section 1102(b) of the Act requires us to prepare a
regulatory impact analysis if a rule may have a significant impact on
the operations of a substantial number of small rural hospitals. Any
such regulatory impact analysis must conform to the provisions of
section 603 of the RFA. For purposes of section 1102(b) of the Act, we
define a small rural hospital as a hospital that is located outside of
a metropolitan statistical area and has fewer than 100 beds. We do not
believe this proposed rule would have a significant impact on
operations of a substantial number of small rural hospitals because
most dialysis facilities are freestanding. While there are 132 rural
hospital-based dialysis facilities, we do not know how many of them are
based at hospitals with fewer than 100 beds. However, overall, the 132
rural hospital-based dialysis facilities will experience an estimated
1.6 percent increase in payments. As concerns the DME parts of the
rule, our data indicates that only around 6.9 percent of small rural
hospitals are organizationally linked to a DME supplier with paid
claims in 2017. Thus, we do not believe the DME parts of the rule will
have a significant impact on operations of a substantial number of
small rural hospitals. As a result, the entire proposed rule is not
estimated to have a significant impact on small rural hospitals.
Therefore, the Secretary has determined that these proposed rules
would not have a significant impact on the operations of a substantial
number of small rural hospitals.
XVIII. Unfunded Mandates Reform Act Analysis
Section 202 of the Unfunded Mandates Reform Act of 1995 (UMRA) also
requires that agencies assess anticipated costs and benefits before
issuing any rule whose mandates require spending in any 1 year of $100
million in 1995 dollars, updated annually for inflation. In 2018, that
threshold is approximately $150 million. These proposed rules do not
include any mandates that would impose spending costs on state, local,
or Tribal governments in the aggregate, or by the private sector, of
$150 million. Moreover, HHS interprets UMRA as applying only to
unfunded mandates. We do not interpret Medicare payment rules as being
unfunded mandates, but simply as conditions for the receipt of payments
from the Federal government for providing services that meet Federal
standards. This interpretation applies whether the facilities or
providers are private, state, local, or tribal.
[[Page 34410]]
XIX. Federalism Analysis
Executive Order 13132 on Federalism (August 4, 1999) establishes
certain requirements that an agency must meet when it promulgates a
proposed rule (and subsequent final rule) that imposes substantial
direct requirement costs on state and local governments, preempts state
law, or otherwise has Federalism implications. We have reviewed these
proposed rules under the threshold criteria of Executive Order 13132,
Federalism, and have determined that it would have substantial direct
effects on the rights, roles, and responsibilities of states, local or
Tribal governments. It is estimated that these proposals contained in
section VI of this proposed rule would add $30 million dollars of
additional expense to state governments because of the added cost
sharing expense for Medicare and Medicaid dual eligible beneficiaries.
XX. Reducing Regulation and Controlling Regulatory Costs
Executive Order 13771, entitled Reducing Regulation and Controlling
Regulatory Costs (82 FR 9339), was issued on January 30, 2017. This
proposed rule is expected to be an Executive Order 13771 regulatory
action due to the estimated $9 million incremental costs (see Table
64).
XXI. Congressional Review Act
These proposed rules are subject to the Congressional Review Act
provisions of the Small Business Regulatory Enforcement Fairness Act of
1996 (5 U.S.C. 801 et seq.) and has been transmitted to the Congress
and the Comptroller General for review.
XXII. Files Available to the Public via the Internet
The Addenda for the annual ESRD PPS proposed and final rulemakings
will no longer appear in the Federal Register. Instead, the Addenda
will be available only through the Internet and is posted on the CMS
website at https://www.cms.gov/ESRDPayment/PAY/list.asp. In addition to
the Addenda, limited data set (LDS) files are available for purchase at
https://www.cms.gov/Research-Statistics-Data-and-Systems/Files-for-Order/LimitedDataSets/EndStageRenalDiseaseSystemFile.html. Readers who
experience any problems accessing the Addenda or LDS files, should
contact [email protected].
List of Subjects
42 CFR Part 413
Health facilities, Kidney diseases, Medicare, Reporting and
recordkeeping requirements.
42 CFR Part 414
Administrative practice and procedure, Health facilities, Health
professions, Kidney diseases, Medicare, Reporting and recordkeeping
requirements.
For the reasons set forth in the preamble, the Centers for Medicare
& Medicaid Services proposes to amend 42 CFR chapter IV as follows:
PART 413--PRINCIPLES OF REASONABLE COST REIMBURSEMENT; PAYMENT FOR
END-STAGE RENAL DISEASE SERVICES; PROSPECTIVELY DETERMINED PAYMENT
RATES FOR SKILLED NURSING FACILITIES; PAYMENT FOR ACUTE KIDNEY
INJURY DIALYSIS
0
1. The authority citation for part 413 continues to read as follows:
Authority: Secs. 1102, 1812(d), 1814(b), 1815, 1833(a), (i),
and (n), 1861(v), 1871, 1881, 1883 and 1886 of the Social Security
Act (42 U.S.C. 1302, 1395d(d), 1395f(b), 1395g, 1395l(a), (i), and
(n), 1395x(v), 1395hh, 1395rr, 1395tt, and 1395ww); and sec. 124 of
Public Law 106-113, 113 Stat. 1501A-332; sec. 3201 of Public Law
112-96, 126 Stat. 156; sec. 632 of Public Law 112-240, 126 Stat.
2354; sec. 217 of Public Law 113-93, 129 Stat. 1040; and sec. 204 of
Public Law 113-295, 128 Stat. 4010; and sec. 808 of Public Law 114-
27, 129 Stat. 362.
0
2. Section 413.177(a) is revised to read as follows:
Sec. 413.177 Quality incentive program payment.
(a) With respect to renal dialysis services as defined under Sec.
413.171, in the case of an ESRD facility that does not earn enough
points under the program described at Sec. 413.178 to meet or exceed
the minimum total performance score (as defined at Sec. 413.178(a)(8))
established by CMS for a payment year (as defined at Sec.
413.178(a)(10)), payments otherwise made to the facility under Sec.
413.230 for renal dialysis services during the payment year will be
reduced by up to 2 percent as follows:
(1) For every 10 points that the total performance score (as
defined at Sec. 413.178(a)(14)) earned by the ESRD facility falls
below the minimum total performance score, the payments otherwise made
will be reduced by 0.5 percent.
(2) [Reserved]
* * * * *
0
3. Section 413.178 is added to read as follows:
Sec. 413.178 ESRD quality incentive program.
(a) Definitions. As used in this section:
(1) Achievement threshold means the 15th percentile of national
ESRD facility performance on a clinical measure during the baseline
period for a payment year.
(2) Baseline period means, with respect to a payment year, the time
period used to calculate the performance standards, benchmark,
improvement threshold and achievement threshold that apply to each
clinical measure for that payment year.
(3) Benchmark means, with respect to a payment year, the 90th
percentile of national ESRD facility performance on a clinical measure
during the baseline period that applies to the measure for that payment
year.
(4) Clinical measure means a measure that is scored for a payment
year using the methodology described in paragraphs (d)(1)(i) through
(iii) of this section.
(5) End-Stage Renal Disease (ESRD) Quality Incentive Program (QIP)
means the program authorized under section 1881(h) of the Social
Security Act.
(6) ESRD facility means an ESRD facility as defined in Sec.
413.171.
(7) Improvement threshold means an ESRD facility's performance on a
clinical measure during the baseline period that applies to the measure
for a payment year.
(8) Minimum total performance score (mTPS) means, with respect to a
payment year, the total performance score that an ESRD facility would
receive if, during the baseline period, it performed at the 50th
percentile of national ESRD facility performance on all clinical
measures and the median of national ESRD facility performance on all
reporting measures.
(9) Payment reduction means the reduction, as specified by CMS, to
each payment that would otherwise be made to an ESRD facility under
Sec. 413.230 for a calendar year based on the TPS earned by the ESRD
facility for the corresponding payment year that is lower than the mTPS
score established for that payment year.
(10) Payment year means the calendar year for which a payment
reduction, if applicable, is applied to the payments otherwise made to
an ESRD facility under Sec. 413.230.
(11) Performance period means the time period during which data are
[[Page 34411]]
collected for the purpose of calculating an ESRD facility's performance
on measures with respect to a payment year.
(12) Performance standards are, for a clinical measure, the
performance levels used to award points to an ESRD facility based on
its performance on the measure, and are, for a reporting measure, the
levels of data submission and completion of other actions specified by
CMS that are used to award points to an ESRD facility on the measure.
(13) Reporting measure means a measure that is scored for a payment
year using the methodology described in paragraph (d)(1)(iv) of this
section.
(14) Total performance score (TPS) means the numeric score ranging
from 0 to 100 awarded to each ESRD facility based on its performance
under the ESRD QIP with respect to a payment year.
(b) Applicability of the ESRD QIP. The ESRD QIP applies to ESRD
facilities as defined at Sec. 413.171 beginning the first day of the
month that is 4 months after the facility CMS Certification Number
(CCN) effective date.
(c) ESRD QIP measure selection. CMS specifies measures for the ESRD
QIP for a payment year and groups the measures into domains. The
measures for a payment year include, but are not limited to:
(1) Measures on anemia management that reflect the labeling
approved by the Food and Drug Administration for such management.
(2) Measures on dialysis adequacy.
(3) To the extent feasible, measures on iron management, bone
mineral metabolism, and vascular access (including for maximizing the
placement of arterial venous fistula).
(4) Beginning with the 2016 payment year, measures specific to the
conditions treated with oral-only drugs and that are, to the extent
feasible, outcomes-based.
(d) Performance scoring under the ESRD QIP. (1) CMS will award
points to an ESRD facility based on its performance on each clinical
measure for which the ESRD facility reports the applicable minimum
number of cases during the performance period for a payment year, and
based on the degree to which the ESRD facility submits data and
completes other actions specified by CMS for a reporting measure during
the performance period for a payment year.
(i) CMS will award from 1 to 9 points for achievement on a clinical
measure to each ESRD facility whose performance on that measure during
the applicable performance period meets or exceeds the achievement
threshold but is less than the benchmark specified for that measure.
(ii) CMS will award from 0 to 9 points for improvement on a
clinical measure to each ESRD facility whose performance on that
measure during the applicable performance period meets or exceeds the
improvement threshold but is less than the benchmark specified for that
measure.
(iii) CMS will award 10 points to each ESRD facility whose
performance on a clinical measure during the applicable performance
period meets or exceeds the benchmark specified for that measure.
(iv) CMS will award from 0 to 10 points to each ESRD facility on a
reporting measure based on the degree to which, during the applicable
performance period, the ESRD facility reports data and completes other
actions specified by CMS with respect to that measure.
(2) CMS calculates the TPS for an ESRD facility for a payment year
as follows:
(i) CMS calculates a domain score for each domain based on the
total number of points the ESRD facility has earned under paragraph
(d)(1) of this section for each measure in the domain and the weight
that CMS has assigned to each measure.
(ii) CMS weights each domain score in accordance with the domain
weight that CMS has established for the payment year.
(iii) The sum of the weighted domain scores is the ESRD facility's
TPS for the payment year.
(e) Public availability of ESRD QIP performance information. (1)
CMS will make information available to the public regarding the
performance of each ESRD facility under the ESRD QIP on the Dialysis
Facility Compare website, including the facility's TPS and scores on
individual measures.
(2) Prior to making the information described in paragraph (e)(1)
of this section available to the public, CMS will provide ESRD
facilities with an opportunity to review that information, technical
assistance to help them understand how their performance under the ESRD
QIP was scored, and an opportunity to request and receive responses to
questions that they have about the ESRD QIP.
(3) CMS will provide each ESRD facility with a performance score
certificate on an annual basis that describes the TPS achieved by the
facility with respect to a payment year. The performance score
certificate must be posted by the ESRD facility within 15 business days
of the date that CMS issues the certificate to the ESRD facility, with
the content unaltered, in an area of the facility accessible to
patients.
(f) Limitation on review. There is no administrative or judicial
review of the following:
(1) The determination of the amount of the payment reduction under
section 1881(h)(1) of the Act.
(2) The specification of measures under section 1881(h)(2) of the
Act.
(3) The methodology developed under section 1881(h)(3) of the Act
that is used to calculate TPSs and performance scores for individual
measures.
(4) The establishment of the performance standards and the
performance period under section 1881(h)(4) of the Act.
0
4. Section 413.232 is amended by--
0
a. Revising paragraphs (b) introductory text and (b)(2);
0
b. Revising paragraph (c)(2);
0
c. Revising paragraph (e);
0
d. Revising paragraph (g)(2); and
0
e. Adding paragraph (g)(3).
The revisions and addition read as follows:
Sec. 413.232 Low-volume adjustment.
* * * * *
(b) Definition of low-volume facility. A low-volume facility is an
ESRD facility that, as determined based on the documentation submitted
pursuant to paragraph (g) of this section:
* * * * *
(2) Has not opened, closed, or received a new provider number due
to a change in ownership (except where the change in ownership results
in a change in facility type) in the 3 cost reporting years (based on
as-filed or final settled 12-consecutive month cost reports, whichever
is most recent) preceding the payment year.
(c) * * *
(2) Five (5) road miles or less from the ESRD facility in question.
* * * * *
(e) Except as provided in paragraph (f) of this section and unless
extraordinary circumstances justify an exception, to receive the low-
volume adjustment an ESRD facility must provide an attestation
statement, by November 1st of each year preceding the payment year, to
its Medicare Administrative Contractor that the facility meets all the
criteria established in this section, except that, for calendar year
2012, the attestation must be provided by January 3, 2012, for calendar
year 2015, the attestation must be provided by December 31, 2014, and
for calendar year 2016, the attestation must be provided by December
31, 2015.
* * * * *
[[Page 34412]]
(g) * * *
(2) In the case of an ESRD facility that has undergone a change of
ownership wherein the ESRD facility's Medicare billing number does not
change or changes due to a reclassification of facility type, the MAC
relies upon the attestation and if the change results in two non-
standard cost reporting periods (less than or greater than 12
consecutive months) does one of the following for the 3 cost reporting
years preceding the payment year to verify the number of treatments:
(i) Combines the two non-standard cost reporting periods of less
than 12 months to equal a full 12-consecutive month period; and/or
(ii) Combines the two non-standard cost reporting periods that in
combination may exceed 12-consecutive months and prorates the data to
equal a full 12-consecutive month period.
(3) In the case of an ESRD facility that has changed their cost
reporting period, the MAC relies on the attestation and does one or
both of the following for the 3 cost reporting years preceding the
payment year to verify the number of treatments:
(i) Combines the two non-standard cost reporting periods of less
than 12 months to equal a full 12-consecutive month period; and/or
(ii) Combines the two non-standard cost reporting periods that in
combination may exceed 12-consecutive months and prorates the data to
equal a full 12-consecutive month period.
0
5. Section 413.234 is amended--
0
a. In paragraph (a) by removing the definition of ``New injectable or
intravenous product'' and adding the definition of ``New renal dialysis
drug or biological'' in alphabetical order; and
0
b. By revising paragraphs (b) and (c).
The revisions read as follows:
Sec. 413.234 Drug designation process.
(a) * * *
New renal dialysis drug or biological. An injectable, intravenous,
oral or other form or route of administration drug or biological that
is used to treat or manage a condition(s) associated with ESRD. It must
be approved by the Food and Drug Administration (FDA) on or after
January 1, 2019 under section 505 of the Federal Food, Drug, and
Cosmetic Act or section 351 of the Public Health Service Act,
commercially available, have an HCPCS application submitted in
accordance with the official HCPCS Level II coding procedures, and
designated by CMS as a renal dialysis service under Sec. 413.171.
Oral-only drugs or biologicals are excluded until January 1, 2025.
* * * * *
(b) Drug designation process. New renal dialysis drugs or
biologicals are included in the ESRD PPS bundled payment using the
following drug designation process:
(1) If the new renal dialysis drug or biological is used to treat
or manage a condition for which there is an ESRD PPS functional
category, the new renal dialysis drug or biological is considered
included in the ESRD PPS bundled payment and the following steps occur:
(i) The new renal dialysis drug or biological is added to an
existing ESRD PPS functional category.
(ii) The new renal dialysis drug or biological is paid for using
the transitional drug add-on payment adjustment described in paragraph
(c)(1) of this section.
(2) If the new renal dialysis drug or biological is used to treat
or manage a condition for which there is not an ESRD PPS functional
category, the new renal dialysis drug or biological is not considered
included in the ESRD PPS bundled payment and the following steps occur:
(i) An existing ESRD PPS functional category is revised or a new
ESRD PPS functional category is added for the condition that the new
renal dialysis drug or biological is used to treat or manage;
(ii) The new renal dialysis drug or biological is paid for using
the transitional drug add-on payment adjustment described in paragraph
(c)(2) of this section; and
(iii) The new renal dialysis drug or biological is added to the
ESRD PPS bundled payment following payment of the transitional drug
add-on payment adjustment.
(c) Transitional drug add-on payment adjustment. A new renal
dialysis drug or biological is paid for using a transitional drug add-
on payment adjustment, which is based on 100 percent of Average Sales
Price (ASP). If ASP is not available then the transitional drug add-on
payment adjustment is based on 100 percent of Wholesale Acquisition
Cost (WAC) and, when WAC is not available, the payment would be based
on the drug manufacturer's invoice.
(1) A new renal dialysis drug or biological that is considered
included in the ESRD PPS base rate is paid the transitional drug add-on
payment adjustment is paid for 2 years.
(i) Following payment of the transitional drug add-on payment
adjustment the ESRD PPS base rate will not be modified.
(ii) [Reserved]
(2) A new renal dialysis drug or biological that is not considered
included in the ESRD PPS base rate is paid the transitional drug add-on
payment adjustment until sufficient claims data for rate setting
analysis for the new renal dialysis drug or biological is available,
but not for less than 2 years.
(i) Following payment of the transitional drug add-on payment
adjustment the ESRD PPS base rate will be modified, if appropriate, to
account for the new renal dialysis drug or biological in the ESRD PPS
bundled payment.
(ii) [Reserved]
* * * * *
PART 414--PAYMENT FOR PART B MEDICAL AND OTHER HEALTH SERVICES
0
6. The authority citation for part 414 continues to read as follows:
Authority: Secs. 1102, 1871, and 1881(b)(l) of the Social
Security Act (42 U.S.C. 1302, 1395hh, and 1395rr(b)(l)).
0
7. Section 414.210 is amended by--
0
a. Revising paragraphs (g)(4), (7) and (9); and
0
b. Adding paragraph (g)(10).
The revisions and addition read as follows:
Sec. 414.210 General payment rules.
* * * * *
(g) * * *
(4) Payment adjustments using data on items and services included
in competitive bidding programs no longer in effect. In the case where
adjustments to fee schedule amounts are made using any of the
methodologies described, other than paragraph (g)(10) of this section,
if the adjustments are based solely on single payment amounts from
competitive bidding programs that are no longer in effect, the single
payment amounts are updated before being used to adjust the fee
schedule amounts. The single payment amounts are updated based on the
percentage change in the Consumer Price Index for all Urban Consumers
(CPI-U) from the mid-point of the last year the single payment amounts
were in effect to the month ending 6 months prior to the date the
initial fee schedule reductions go into effect. Following the initial
adjustments to the fee schedule amounts, if the adjustments continue to
be based solely on single payment amounts from competitive bidding
programs that are no longer in effect, the single payment amounts used
to reduce the fee schedule amounts are updated every 12 months using
the percentage change in the CPI-U for the 12-month period ending 6
months prior to the date the updated
[[Page 34413]]
payment adjustments would go into effect.
* * * * *
(7) Payment adjustments for mail order items furnished in the
Northern Mariana Islands. The fee schedule amounts for mail order items
furnished to beneficiaries in the Northern Mariana Islands are adjusted
so that they are equal to 100 percent of the single payment amounts
established under a national mail order competitive bidding program.
Beginning on or after the date that the Northern Mariana Islands are
included under a national mail order competitive bidding program, the
fee schedule adjustment methodology under this paragraph would no
longer apply.
* * * * *
(9) Transition rules. The payment adjustments described above are
phased in as follows:
(i) For applicable items and services furnished with dates of
service from January 1, 2016 through December 31, 2016, based on the
fee schedule amount for the area is equal to 50 percent of the adjusted
payment amount established under this section and 50 percent of the
unadjusted fee schedule amount.
(ii) For items and services furnished with dates of service from
January 1, 2017, through May 31, 2018, the fee schedule amount for the
area is equal to 100 percent of the adjusted payment amount established
under this section.
(iii) For items and services furnished in rural areas and non-
contiguous areas (Alaska, Hawaii, and U.S. territories) with dates of
service from June 1, 2018 through December 31, 2020, based on the fee
schedule amount for the area is equal to 50 percent of the adjusted
payment amount established under this section and 50 percent of the
unadjusted fee schedule amount.
(iv) For items and services furnished in areas other than rural or
noncontiguous areas with dates of service from June 1, 2018 through
December 31, 2020, based on the fee schedule amount for the area is
equal to 100 percent of the adjusted payment amount established under
this section.
(10) Payment adjustments for items and services furnished in former
competitive bidding areas during temporary gaps in the DMEPOS CBP.
During a temporary gap in the entire DMEPOS CBP and/or National Mail
Order CBP, the fee schedule amounts for items and services that were
competitively bid and furnished in areas that were competitive bidding
areas at the time the program(s) was in effect are adjusted based on
the SPAs in effect in the competitive bidding areas on the last day
before the CBP contract period of performance ended, increased by the
projected percentage change in the Consumer Price Index for all Urban
Consumers (CPI-U) for the 12-month period ending on the date after the
contract periods ended. If the gap in the CBP lasts for more than 12
months, the fee schedule amounts are increased once every 12 months on
the anniversary date of the first day of the gap period based on the
projected percentage change in the CPI-U for the 12-month period ending
on the anniversary date.
0
8. Section 414.222 is amended by adding paragraph (f) to read as
follows:
Sec. 414.222 Items requiring frequent and substantial servicing.
* * * * *
(f) Multi-function ventilators--(1) Definition. For the purpose of
this paragraph, a multi-function ventilator is a ventilator as defined
in paragraph (a)(1) of this section that also performs medically
necessary functions for the patient at the same time that would
otherwise be performed by one or more different items classified under
Sec. 414.220, Sec. 414.226, or Sec. 414.229.
(2) Payment rule. Effective for dates of service on or after
January 1, 2019, the monthly rental fee schedule amount for a multi-
function ventilator described in paragraph (f)(1) of this section is
equal to the monthly rental fee schedule amount for the ventilator
established in paragraph (c) and paragraph (d) of this section plus the
average of the lowest monthly cost for one additional function
determined under paragraph (f)(3) of this section and the monthly cost
of all additional functions determined under paragraph (f)(3),
increased by the annual covered item updates of section 1834(a)(14) of
the Act.
(3) Monthly cost for additional functions. (i) For functions
performed by items classified under this section prior to 1994, the
monthly cost is equal to the monthly rental fee schedule amount
established in paragraphs (c) and (d) of this section increased by the
covered item update of section 1834(a)(14) of the Act.
(ii) For functions performed by items classified under Sec.
414.220, the monthly cost is equal to the fee schedule amount for
purchased equipment established in Sec. 414.220(c), (d), (e), and (f),
adjusted in accordance with Sec. 414.210(g), divided by 60 months or
total number of months of the reasonable useful lifetime of the
equipment.
(iii) For functions performed by items classified under Sec.
414.226, the monthly cost is equal to the monthly payment amount
established in Sec. 414.226(e), (f), and (g) of, adjusted in
accordance with Sec. 414.210(g), multiplied by 36 and divided by 60
months or total number of months of the reasonable useful lifetime of
the oxygen equipment.
(iv) For functions performed by items classified under Sec.
414.229, the monthly cost is equal to the purchase price established in
Sec. 414.229 (c) of, adjusted in accordance with Sec. 414.210(g),
divided by 60 months or total number of months of the reasonable useful
lifetime of the equipment.
0
9. Section 414.226 is amended--
0
a. By revising the heading of paragraph (c);
0
b. By revising paragraph (c)(6);
0
c. By revising the heading of paragraph (d);
0
d. In paragraph (d)(2) by removing the reference ``paragraph (e)(2)''
and adding in its place the reference ``paragraph (g)(2)'';
0
e. By redesignating paragraphs (e), (f) and (g) as paragraphs (g), (h),
and (i); and
0
f. By adding new paragraphs (e) and (f).
The revisions and additions read as follows:
Sec. 414.226 Oxygen and oxygen equipment.
* * * * *
(c) Monthly fee schedule amount for items furnished from 2007
through 2018. * * *
* * * * *
(6) For 2008 through 2018, CMS makes an annual adjustment to the
national limited monthly payment rate for items described in paragraph
(c)(1)(i) of this section to ensure that such payment rates do not
result in expenditures for any year that are more or less than the
expenditures that would have been made if such classes had not been
established.
(d) Application of monthly fee schedule amounts for items furnished
from 2007 through 2018. * * *
* * * * *
(e) Monthly fee schedule amount for items furnished for years after
2018. (1) For 2019, national limited monthly payment rates are
calculated and paid as the monthly fee schedule amounts for the
following classes of items:
(i) Stationary oxygen equipment (including stationary
concentrators) and oxygen contents (stationary and portable).
(ii) Portable gaseous equipment only.
(iii) Portable liquid equipment only.
(iv) Oxygen generating portable equipment only.
(v) Stationary oxygen contents only.
(vi) Portable oxygen contents only, except for portable liquid
oxygen
[[Page 34414]]
contents for prescribed flow rates greater than four liters per minute.
(vii) Portable liquid oxygen contents only for prescribed flow
rates of more than 4 liters per minute.
(2) The monthly payment rate for items described in paragraphs
(e)(1)(i), (ii), (iv), (v), and (vi) of this section are determined
using the applicable methodologies contained in Sec. 414.210(g).
(3) The monthly payment rate for items described in paragraph
(e)(1)(iii) of this section is determined initially based on the
monthly payment rate for items described in paragraph (e)(1)(iv) of
this section and is subsequently adjusted using the applicable
methodologies contained in Sec. 414.210(g).
(4) The monthly payment rate for items described in paragraph
(e)(1)(vii) of this section is determined initially based on 150
percent of the monthly payment rate for items described in paragraph
(e)(1)(vi) of this section and is subsequently adjusted using the
applicable methodologies contained in Sec. 414.210(g).
(5) Beginning in 2019, CMS makes an annual adjustment to the
monthly payment rate for items described in paragraphs (e)(1)(i)
through (e)(1)(vii) of this section to ensure that such payment rates
do not result in expenditures for any year that are more or less than
the expenditures that would have been made if such classes had not been
established.
(f) Application of monthly fee schedule amounts for items furnished
for years after 2018. (1) The fee schedule amount for items described
in paragraph (e)(1)(i) of this section is paid when the beneficiary
rents stationary oxygen equipment.
(2) Subject to the limitation set forth in paragraph (g)(2) of this
section, the fee schedule amount for items described in paragraphs
(e)(1)(ii), (iii), and (iv) of this section is paid when the
beneficiary rents portable oxygen equipment.
(3) The fee schedule amount for items described in paragraph
(e)(1)(v) of this section is paid when the beneficiary--
(i) Owns stationary oxygen equipment that requires delivery of
gaseous or liquid oxygen contents; or
(ii) Rents stationary oxygen equipment that requires delivery of
gaseous or liquid oxygen contents after the period of continuous use of
36 months described in paragraph (a)(1) of this section.
(4) The fee schedule amount for items described in paragraph
(e)(1)(vi) of this section is paid when the beneficiary--
(i) Owns portable oxygen equipment described in paragraphs
(e)(1)(ii) or (e)(1)(iii) of this section; or
(ii) Rents portable oxygen equipment described in paragraphs
(e)(1)(ii) or (e)(1)(iii) of this section during the period of
continuous use of 36 months described in paragraph (a)(1) of this
section and does not rent stationary oxygen equipment; or
(iii) Rents portable oxygen equipment described in paragraphs
(e)(1)(ii) or (e)(1)(iii) of this section after the period of
continuous use of 36 months described in paragraph (a)(1) of this
section.
(5) The fee schedule amount for items described in paragraph
(e)(1)(vii) of this section is paid when the beneficiary has a
prescribed flow rate of more than 4 liters per minute and--
(i) Owns portable liquid oxygen equipment described in paragraph
(e)(1)(iii) of this section; or
(ii) Rents portable liquid oxygen equipment described in paragraph
(e)(1)(iii) of this section during the period of continuous use of 36
months described in paragraph (a)(1) of this section and does not rent
stationary oxygen equipment; or
(iii) Rents portable liquid oxygen equipment described in paragraph
(e)(1)(iii) of this section after the period of continuous use of 36
months described in paragraph (a)(1) of this section.
Sec. 414.230 [Amended]
0
10. Section 414.230 is amended in paragraph (h) by removing the
reference ``Sec. 414.226(f)'' and adding in its place the reference
``Sec. 414.226(h)''.
0
11. Section 414.402 is amended by revising the definitions of ``Bid''
and ``Composite bid'', and adding the definition of ``Lead item'' in
alphabetical order to read as follows:
Sec. 414.402 Definitions.
* * * * *
Bid means an offer to furnish an item or items for a particular
price and time period that includes, where appropriate, any services
that are directly related to the furnishing of the item or items.
* * * * *
Composite bid means the bid submitted by the supplier for the lead
item in the product category.
* * * * *
Lead item is the item in a product category with multiple items
with the highest total nationwide Medicare allowed charges of any item
in the product category prior to each competition.
* * * * *
0
12. Section 414.412 is amended by--
0
a. Revising paragraphs (b)(1) and (2);
0
b. Revising paragraph (c);
0
c. Revising the heading of paragraph (e); and
0
d. Revising the heading of paragraph (h).
The revisions read as follows:
Sec. 414.412 Submission of bids under a competitive bidding program.
* * * * *
(b) * * *
(1) Composite bids, as defined in Sec. 414.402, are submitted for
lead items, as defined in Sec. 414.402.
(2) The bid submitted for each lead item and product category
cannot exceed the payment amount that would otherwise apply to the lead
item under subpart C of this part, without the application of Sec.
414.210(g), or subpart D of this part, without the application of Sec.
414.105.
* * * * *
(c) Furnishing of items. A bid must include all costs related to
furnishing all items in the product category, including all services
directly related to the furnishing of the items.
(e) Commonly-owned or controlled suppliers. * * *
* * * * *
(h) Requiring bid surety bonds for bidding entities. * * *
* * * * *
0
13. Section 414.414 is amended by revising paragraph (e) to read as
follows:
Sec. 414.414 Conditions for awarding contracts.
* * * * *
(e) Evaluation of bids. CMS evaluates composite bids submitted for
a lead item within a product category by--
(1) Calculating the expected beneficiary demand in the CBA for the
lead item in the product category;
(2) Calculating the total supplier capacity that would be
sufficient to meet the expected beneficiary demand in the CBA for the
lead item in the product category;
(3) Arraying the composite bids from the lowest composite bid price
to the highest composite bid price;
(4) Calculating the pivotal bid for the product category; and
(5) Selecting all suppliers and networks whose composite bids are
less than or equal to the pivotal bid for that product category, and
that meet the requirements in paragraphs (b) through (d) of this
section.
* * * * *
0
14. Section 414.416 is amended by revising paragraph (b) to read as
follows:
[[Page 34415]]
Sec. 414.416 Determination of competitive bidding payment amounts.
* * * * *
(b) Methodology for setting payment amount. (1) The single payment
amount for a lead item furnished under a competitive bidding program is
equal to the maximum or highest bid submitted for that item by
suppliers whose composite bids for the product category that includes
the item are equal to or below the pivotal bid for that product
category.
(2) The single payment amount for a lead item must be less than or
equal to the amount that would otherwise be paid for the same item
under subpart C or subpart D of this part.
(3) The single payment amount for an item in a product category
furnished under a competitive bidding program that is not a lead item
for that product category is equal to the single payment amount for the
lead item in the same product category multiplied by the ratio of the
average of the 2015 fee schedule amounts for all areas (that is, all
states, the District of Columbia, Puerto Rico, and the United States
Virgin Islands) for the item to the average of the 2015 fee schedule
amounts for all areas for the lead item.
Sec. 414.422 [Amended]
0
15. Section 414.422 is amended by redesignating paragraphs (d)(4)(iii)
through (d)(4)(vi) as paragraphs (d)(4)(ii) through (d)(4)(v).
0
16. Section 414.423 is amended by revising paragraph (i)(8) to read as
follows:
Sec. 414.423 Appeals process for breach of a DMEPOS competitive
bidding program contract actions.
* * * * *
(i) * * *
(8) Comply with all applicable provisions of Title 18 and related
provisions of the Act, the applicable regulations issued by the
Secretary, and manual instructions issued by CMS.
* * * * *
Dated: June 26, 2018.
Seema Verma,
Administrator, Centers for Medicare & Medicaid Services.
Dated: June 28, 2018.
Alex M. Azar II,
Secretary, Department of Health and Human Services.
[FR Doc. 2018-14986 Filed 7-11-18; 4:15 pm]
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