Medicare and Medicaid Programs; Organ Procurement Organizations Conditions for Coverage: Revisions to the Outcome Measure Requirements for Organ Procurement Organization, 70628-70710 [2019-27418]
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Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
DEPARTMENT OF HEALTH AND
HUMAN SERVICES
Centers for Medicare & Medicaid
Services
42 CFR Part 486
[CMS–3380–P]
RIN 0938–AU02
Medicare and Medicaid Programs;
Organ Procurement Organizations
Conditions for Coverage: Revisions to
the Outcome Measure Requirements
for Organ Procurement Organization
Centers for Medicare &
Medicaid Services (CMS), HHS.
ACTION: Proposed rule.
AGENCY:
This proposed rule would
revise the Organ Procurement
Organization (OPO) Conditions for
Coverage (CfCs) to increase donation
rates and organ transplantation rates by
replacing the current measures with
new transparent, reliable, and objective
measures.
DATES: To be assured consideration,
comments must be received at one of
the addresses provided below, no later
than 5 p.m. EST on February 21, 2020.
ADDRESSES: In commenting, please refer
to file code CMS–3380–P when
commenting on the issues in this
proposed rule. 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 (and we
encourage you to) submit electronic
comments on this regulation to https://
www.regulations.gov. Follow the
instructions under the ‘‘submit a
comment’’ tab.
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–3380–P, P.O. Box 8010, Baltimore,
MD 21244–1850.
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 via express
or overnight mail to the following
address ONLY: Centers for Medicare &
Medicaid Services, Department of
Health and Human Services, Attention:
CMS–3380–P, Mail Stop C4–26–05,
7500 Security Boulevard, Baltimore, MD
21244–1850.
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SUMMARY:
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b. For delivery in Baltimore, MD—
Centers for Medicare & Medicaid
Services, Department of Health and
Human Services, 7500 Security
Boulevard, Baltimore, MD 21244–1850.
For information on viewing public
comments, we refer readers to the
beginning of the SUPPLEMENTARY
INFORMATION section.
FOR FURTHER INFORMATION CONTACT:
Diane Corning (410) 786–8486, Eric Laib
(410) 786–9759, Jesse Roach (410) 786–
1000, Alpha-Banu Wilson (410) 786–
8687, or CAPT Hui-Hsing Wong (410)
786–9007.
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.
I. Background
A. The Importance of Organ
Procurement Organizations and the
Need To Reform the Organ Procurement
System
Organ procurement organizations
(OPOs) are vital partners in the
procurement, distribution, and
transplantation of human organs in a
safe and equitable manner for all
potential transplant recipients. The role
of OPOs is critical to ensuring that the
maximum possible number of
transplantable human organs is
available to seriously ill people who are
on a waiting list for an organ transplant.
There are currently 58 OPOs that are
responsible for identifying eligible
donors and recovering organs from
deceased donors in the United States
(U.S.). Therefore, OPO performance is a
critical element of the organ
transplantation system in the U.S.
As of September 2019, a total of
112,846 people were on the waiting lists
for a lifesaving organ transplant.1 Many
people face tremendous quality of life
burdens or even death while on the
waiting list. An OPO that is efficient in
procuring organs and delivering them to
recipients will help more people on the
waiting list receive lifesaving organ
1 Organ Procurement and Transplantation
Network (OPTN) Data. https://
optn.transplant.hrsa.gov/data/.
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transplants, which could ultimately
save more lives.
Given OPOs’ important role in the
organ donation system in the U.S., some
stakeholders have argued that
underperformers have faced few
consequences for poor performance.
These stakeholders, mainly from
advocacy organizations, have noted that
‘‘Performance varies across the OPO
network, with many persistent
underperformers failing to improve over
the last decade.’’ 2 They further note that
there are serious negative impacts to
both organ transplantation and donation
when OPOs are underperforming, in
that ‘‘[w]hen OPOs are inefficient or
ineffective, donor hospitals are reluctant
to refer potential donors, and transplant
centers have fewer organ offers for
patients on the waiting list. The end
result is a bottleneck within the system
that leads to avoidable deaths and
increased national health care
spending.’’ 3
Some stakeholders, including
members of the OPO industry, agree that
the OPO outcome measures should be
reformed. Some of these stakeholders
note that ‘‘[e]xisting regulations need
dramatic improvement to remove
perverse incentives to organ
procurement (for example, OPOs are
evaluated on the number of organs
procured per donor, which leads to
older single-organ donors being
overlooked) and increase continuous
performance accountability.’’ 4
Reforming the outcome measures can be
achieved, they indicated, through
metrics that improve accountability and
‘‘by replacing current ineffective metrics
for OPO performance with a simplified
transparent metric that enables
independent performance
measurement.’’ 5
Based on public feedback and our
own internal analysis of organ donation
and transplantation rates, we agree that
the current OPO outcome measures are
not sufficiently objective and
transparent to ensure public trust in
assessing OPO performance, nor do they
properly incentivize the adoption of
2 The Bridgespan Group. Reforming Organ
Donation in America. https://www.bridgespan.org/
bridgespan/Images/articles/reforming-organdonation-in-america/reforming-organ-donation-inamerica-12-2018.pdf.
3 ORGANIZE. Organ Donation Reform Report.
2019.
4 The Bridgespan Group. Reforming Organ
Donation in America. https://www.bridgespan.org/
bridgespan/Images/articles/reforming-organdonation-in-america/reforming-organ-donation-inamerica-12-2018.pdf.
5 The Bridgespan Group. Reforming Organ
Donation in America. https://www.bridgespan.org/
bridgespan/Images/articles/reforming-organdonation-in-america/reforming-organ-donation-inamerica-12-2018.pdf.
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best practices and optimization of
donation and organ placement rates.
B. Statutory and Regulatory Provisions
To be an OPO, an entity must meet
the applicable requirements of both the
Social Security Act (the Act) and the
Public Health Service Act (the PHS Act).
Section 1138(b) of the Act provides the
statutory qualifications and
requirements that an OPO must meet in
order for organ procurement costs to be
paid under the Medicare program or the
Medicaid program. Section
1138(b)(1)(A) of the Act specifies that
payment may be made for organ
procurement costs only if the agency is
a qualified OPO operating under a grant
made under section 371(a) of the PHS
Act or has been certified or re-certified
by the Secretary of the Department of
Health and Human Services (the
Secretary) as meeting the standards to
be a qualified OPO within a certain time
period. Section 1138(b)(1)(C) of the Act
provides that payment may be made for
organ procurement costs ‘‘only if’’ the
OPO meets the performance-related
standards prescribed by the Secretary.
Section 1138(b)(1)(F) of the Act requires
that to receive payment under the
Medicare program or the Medicaid
program for organ procurement costs,
the entity must be designated by the
Secretary. The requirements for such
designation are set forth in 42 CFR
486.304 and include being certified as a
qualified OPO by CMS.
Pursuant to section 371(b)(1)(D)(ii)(II)
of the PHS Act, the Secretary is required
to establish outcome and process
performance measures for OPOs to meet
based on empirical evidence, obtained
through reasonable efforts, of organ
donor potential and other related factors
in each service area of the qualified
OPO. Section 1138(b)(1)(D) of the Act
requires an OPO to be a member of, and
abide by the rules and requirements of,
the Organ Procurement and
Transplantation Network (OPTN). OPOs
must also comply with the regulations
governing the operation of the OPTN (42
CFR part 121). The Department has
explained that only those policies
approved by the Secretary will be
considered ‘‘rules and requirements’’ of
the OPTN for purposes of section 1138
of the Act. The OPTN is a membership
organization that links all professionals
in the U.S. organ donation and
transplantation system. Currently, the
United Network for Organ Sharing
(UNOS) serves as the OPTN under
contract. OPOs are required under the
OPTN final rule (42 CFR 121.11(b)(2))
and 42 CFR 486.328 of the OPO
Conditions for Coverage (CfCs) to report
specific information to the OPTN,
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including the data used to calculate the
outcome measures for OPOs.
In addition, OPOs are required to
comply with Section 504 of the
Rehabilitation Act of 1973, 29 U.S.C.
794, and section 1557 of the Patient
Protection and Affordable Care Act, 42
U.S.C. 18116, which protects qualified
individuals with a disability, including
prospective organ recipients with a
disability and prospective organ donors
with a disability, from unlawful
discrimination in the administration of
organ transplant programs. Under these
laws, OPOs must ensure that qualified
individuals with a disability are
afforded opportunities to participate in
or benefit from the organ transplant
program that are equal to opportunities
afforded others. Decisions to approve or
deny organ transplants must be made
based on objective facts related to the
individual in question. ‘‘Individuals
with disabilities are also entitled to
reasonable accommodations needed to
participate in and benefit from a
program, and auxiliary aids and services
needed for effective communication.
These rights extend in some
circumstances to family members of a
prospective organ donor or recipient.
For example, health care providers and
organ donation programs are required to
provide auxiliary aids and services
(including sign language interpreters)
when necessary for effective
communication between a relative
involved in a prospective donor or
recipient’s care and a health care
provider or donation program.’’
We established CfCs for OPOs at 42
CFR part 486, subpart G, and OPOs
must meet these requirements in order
to be able to receive payments from the
Medicare and Medicaid programs.
These regulations set forth the
certification and re-certification
processes, outcome requirements, and
process performance measures for OPOs
and became effective on July 31, 2006
(71 FR 30982).
Section 486.322 requires that an OPO
must have a written agreement with 95
percent of the Medicare- and Medicaidparticipating hospitals and critical
access hospitals in its service area that
have both a ventilator and an operating
room, and have not been granted a
waiver by CMS to work with another
OPO. Meanwhile, 42 CFR 482.45
requires a hospital have written
protocols that incorporate an agreement
with an OPO under which it must
notify, in a timely manner, the OPO or
a third party designated by the OPO, of
individuals whose death is imminent or
who have died in the hospital. Potential
organ donors may encounter Medicareand Medicaid-certified providers prior
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to an emergency department visit or
hospital admission to a critical care
unit. Therefore, we expect that each
OPO’s responsibilities and work began
long before a hospital notified the OPO
of an impending death—through, but
not limited to, extensive training and
education of all Medicare and Medicaidcertified providers along the continuum
of care and by fostering a collaborative
relationship among them.
C. HHS Initiatives Related to OPO
Services and Executive Order 13879
In 2000, the Secretary’s Advisory
Committee on Organ Transplantation
(ACOT) was established under the
general authority of section 222 of the
PHS Act, as amended, and
implementing regulations under 42 CFR
121.12. ACOT is charged to (1) advise
the Secretary, acting through the
Administrator, Health Resources and
Services Administration (HRSA) on all
aspects of organ donation, procurement,
allocation, and transplantation, and on
such other matters that the Secretary
determines; (2) advise the Secretary on
federal efforts to maximize the number
of deceased donor organs made
available for transplantation and to
support the safety of living organ
donation; (3) at the request of the
Secretary, review significant proposed
OPTN policies submitted for the
Secretary’s approval to recommend
whether they should be made
enforceable; and (4) provide expert
input to the Secretary on the latest
advances in the science of
transplantation, the OPTN’s system of
collecting, disseminating and ensuring
the validity, accuracy, timeliness and
usefulness of data, and additional
medical, public health, patient safety,
ethical, legal, financial coverage, social
science, and socioeconomic issues that
are relevant to transplantation.6
A 2012 recommendation by ACOT
stated: ‘‘The ACOT recognizes that the
current CMS and HRSA/OPTN structure
creates unnecessary burdens and
inconsistent requirements on transplant
centers (TCs) and OPOs and that the
current system lacks responsiveness to
advances in TCs and OPO performance
metrics. The ACOT recommends that
the Secretary direct CMS and HRSA to
confer with the OPTN, Scientific
Registry of Transplant Recipients
(SRTR), the OPO community, and TCs
representatives to conduct a
comprehensive review of regulatory and
other requirements, and to promulgate
regulatory and policy changes to
requirements for OPOs and TCs that
6 https://www.organdonor.gov/about-dot/acot/
charter.html.
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unify mutual goals of increasing organ
donation, improving recipient
outcomes, and reducing organ wastage
and administrative burden on TCs and
OPOs. These revisions should include,
but not be limited to, improved risk
adjustment methodologies for TCs and a
statistically sound method for yield
measures for OPOs—. . . .’’ 7
On July 10, 2019, President Trump
issued Executive Order 13879 titled
Advancing American Kidney Health.
The Executive Order 13879 states that it
is the policy of the U.S. to ‘‘prevent
kidney failure whenever possible
through better diagnosis, treatment, and
incentives for preventive care; increase
patient choice through affordable
alternative treatments for ESRD by
encouraging higher value care,
educating patients on treatment
alternatives, and encouraging the
development of artificial kidneys; and
increase access to kidney transplants by
modernizing the organ recovery and
transplantation systems and updating
outmoded and counterproductive
regulations.’’
Further, the Executive Order aims to
increase the utilization of available
organs by ordering that, within 90 days
of the date of the order, the Secretary
propose a regulation to enhance the
procurement and utilization of organs
available through deceased donation by
revising OPO rules and evaluation
metrics to establish more transparent,
reliable, and enforceable objective
measures for evaluating an OPO’s
performance. In conjunction with the
Executive Order, the Department set a
goal to deliver more organs for
transplantation and aims to double the
number of kidneys available for
transplant by 2030.8
In accordance with the Executive
Order and in response to ACOT’s
recommendations and stakeholder
feedback, we are proposing to revise the
OPO outcome and process measures so
that they are more transparent, reliable,
and objective measures of OPO
performance. We believe that these
changes will lead to increased
procurement opportunities for
transplantation, increased organ
utilization, and as a result, more lives
saved.
7 Available at: https://www.organdonor.gov/
about-dot/acot/acotrecs55.html.
8 https://aspe.hhs.gov/system/files/pdf/262046/
AdvancingAmericanKidneyHealth.pdf.
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II. Provisions of the Proposed
Regulations
A. Proposed Changes to Outcome
Requirements (§ 486.318)
On May 31, 2006, CMS published the
final rule, ‘‘Medicare and Medicaid
Programs: Conditions for Coverage for
Organ Procurement Organizations
(OPOs)’’ in the Federal Register (71 FR
30982). That final rule established the
CfCs that OPOs must comply with in
order to receive Medicare and Medicaid
reimbursement for organ procurement
costs. It also set forth outcome measures
at 42 CFR 486.318 and specifies the
condition for reporting of data, 42 CFR
486.328. OPOs must report data to the
OPTN in accordance with 42 CFR
121.11(b)(2) (describing data specified
by the Secretary) and 42 CFR 486.328
(describing data required by the
Secretary) for the operations of the
OPTN and for CMS’s assessment of OPO
performance. Under these authorities,
OPOs must report data to the OPTN or
the SRTR specified by the Secretary
(including on OMB-approved forms
pursuant to the Paperwork Reduction
Act of 1995). The CfCs for OPOs at 42
CFR 486.318(a) and (b) have required
that an OPO must meet two of the three
following outcome measures:
• The OPO’s donation rate of eligible
donors as a percentage of eligible deaths
is no more than 1.5 standard deviations
below the mean national donation rate
of eligible donors as a percentage of
eligible deaths, averaged over the 4
years of the re-certification cycle. Both
the numerator and denominator of an
individual OPO’s donation rate ratio are
adjusted by adding a 1 for each donation
after cardiac death donor and each
donor over the age of 70;
• The observed donation rate is not
significantly lower than the expected
donation rate for 18 or more months of
the 36 months of data used for re–
certification, as calculated by SRTR;
• The OPO data reports, averaged
over the 4 years of the re-certification
cycle, must meet the rules and
requirements of the most current OPTN
aggregate donor yield measure.
For the 2022 re-certification cycle
only however, under 42 CFR
486.316(a)(3), OPOs are not required to
meet the second outcome measure (the
observed donation rate is not
significantly lower than the expected
donation rate for 18 or more months of
the 36 months of data used for re–
certification, as calculated by SRTR).
OPOs must instead meet one out of the
two outcome measure requirements
described in § 486.318(a)(1) and (3) for
OPOs not operating exclusively in the
noncontiguous States, Commonwealths,
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Territories, or possessions; or
§ 486.318(b)(1) and (3) for OPOs
operating exclusively in noncontiguous
States, Commonwealths, Territories, and
possessions (84 FR 61434 through
61436).
We have heard concerns from some
stakeholders within the organ donation
and transplantation community about
these outcome measures since
finalization in 2006. Some stakeholders
contend that the current outcome
measures are not reliable and
transparent indicators of OPO
performance. Most comments have
centered on the self-defined and selfreported nature of the data on ‘‘eligible
deaths’’ that are used for the evaluation
of the outcome measures. Stakeholders
increasingly have brought to our
attention that the interpretation of
‘‘eligible deaths’’ appears to be
inconsistent across donation service
areas (DSAs), and that ‘‘all OPO data is
unaudited and self-reported’’ and
therefore, ‘‘the accuracy and consistency
of that data cannot be assured.’’ 9
In addition, there were concerns
about the donor yield outcome measure.
According to stakeholders, there are
‘‘pressures from donor yield reporting’’
that ‘‘drives OPOs to walk away from
cases in which the donor only has one
organ viable for transplant (such as for
older patients, where it is common that
only the liver is medically viable), even
in cases where next of kin consents to
donation.’’ 10 As a result, some
commenters have suggested that ‘‘the
regulations may be causing OPOs to
‘game’ the process of meeting [this]
standard by only targeting ‘high-yield’
organ candidates.’’ 11 Given these
comments, we are concerned that
potentially transplantable organs may be
wasted, exacerbating the organ shortage
problem.
To address some of these stakeholder
concerns, we made several changes to
these outcome measures since we
finalized the CfCs for OPOs in 2006. In
2012, we modified the definition of
‘‘donor document’’ (that is, the
document that an individual can sign to
authorize the procurement of their own
9 Letter from Helen Irving, President and CEO,
New York Organ Donor Network, to Howard
Shelanksi, Administrator, Office of Information and
Regulatory Affairs, Office of Management and
Budget. Oct. 2013. Available at: https://
obamawhitehouse.archives.gov/sites/default/files/
omb/assets/oira_0938/0938_10292013b-1.pdf
10 ORGANIZE. Organ Donation Reform Report.
2019.
11 Letter from Helen Irving, President and CEO,
New York Organ Donor Network, to Howard
Shelanksi, Administrator, Office of Information and
Regulatory Affairs, Office of Management and
Budget. Oct. 2013. Available at: https://
obamawhitehouse.archives.gov/sites/default/files/
omb/assets/oira_0938/0938_10292013b-1.pdf.
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organs after their death) (77 FR 29020).
In 2013, we changed the requirement
that an OPO had to meet three outcome
measures to requiring that the OPO had
to meet only two out of the three
outcome measures (78 FR 75141). In
2016, we modified our definition of
‘‘eligible death’’ to be consistent with
the OPTN definition, modified current
requirements for documentation of
donor information that is sent to the
transplant center with the organ, and
modified the yield measure to the most
current OPTN aggregate donor yield
measure (81 FR 79830).
In addition, in November 2019, we
finalized a proposal to reconcile the
definition of ‘‘expected donation rate’’
in the OPO CfCs with the definition
currently used by the SRTR. The rule
also finalized a policy that requires
OPOs to meet one out of the two
outcome measures for the 2022 recertification cycle only. OPOs therefore
are not required to meet the second
outcome measure (the observed
donation rate is not significantly lower
than the expected donation rate for 18
or more months of the 36 months of data
used for re–certification, as calculated
by SRTR) for the 2022 re-certification
cycle. Absent additional regulatory
changes, an OPO would be required to
meet 2 of the 3 regulatory requirements
for future evaluation cycles (84 FR
61434 through 61436). We also
published a Request for Information
(RFI) in the CY 2020 OPPS/ASC
proposed rule that solicited comments
regarding what revisions may be
appropriate for the current CfCs for
OPOs that are set forth at 42 CFR
486.301 through 486.360 and the
current Conditions of Participation
(CoPs) for TCs that are set forth at 42
CFR 482.68 through 482.104 (84 FR
39595 through 39598). That RFI also
requested comments on two potential
outcome measures, which we now
describe in more detail in this proposed
rule.
In a continued effort to respond to
these concerns and as required by
Executive Order 13879 and controlling
statutes, we are proposing to revise the
outcome measures for re-certification at
§ 486.318 to replace the existing
outcome measures with two new
outcome measures that would be used
to assess an OPO’s performance:
‘‘donation rate’’ and ‘‘organ
transplantation rate’’ effective for CY
2022. The ‘‘donation rate’’ would be
measured as the number of actual
deceased donors as a percentage of total
inpatient deaths in the DSA among
patients 75 years of age or younger with
any cause of death that would not be an
absolute contraindication to organ
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donation; and the ‘‘organ
transplantation rate’’ would be
measured as the number of organs
procured within the DSA and
transplanted as a percentage of total
inpatient deaths in the DSA among
patients 75 years of age or younger with
any cause of death that would not be an
absolute contraindication to organ
donation.
The first measure, ‘‘donation rate’’,
would demonstrate the OPO’s
percentage of possible deceased donors
who become actual donors and the
second measure, ‘‘organ transplantation
rate’’, would demonstrate the percentage
of organs transplanted after
procurement. We have chosen this
combination of measures to reflect our
view that OPOs should be expanding
their efforts on both converting potential
donors into actual donors and
successfully placing all possible organs
for transplantation. We chose to include
actual organ donors who had at least
one organ transplanted in our measure
to encourage the pursuit of single-organ
donors because we believe that these
donors are the greatest opportunity for
growth; it is our understanding that
transplant centers have recently been
willing to expand the definition of
traditional organ donors and accept
organs from these donors. We also chose
the total number of organs transplanted
to emphasize the role of the OPO in
successful organ placement. We
acknowledge concerns that donation
rate and transplant rate measures may
seem redundant and highly correlated;
however, we believe that evidence of
the high level of correlation is due to
our current outcome measures that
include both donation rates and organ
transplant yield. We selected both
donation rates and transplantation rates
in order to reduce the risk that resources
would be diverted to focus on one
measure rather than increasing overall
efforts to address both types of
measures, which we believe could result
in more single-organ donors and
minimize discarding of transplantable
organs. We are cautious in creating
outcome measures that inadvertently
decrease one or the other type of
measure. For example, if we choose
measures based only on donation rates,
we are concerned whether there would
be sufficient incentives to place as many
as possible organs from each donor,
which can be time-consuming.
Conversely, if we chose measures based
solely on organ transplantation rates, we
would be concerned that there would be
fewer incentives to procure single
organs from older donors or donors after
cardiac death, as there would be to
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procure multiple organs from the
younger, healthier donor after brain
death.
For the first measure, donation rate,
the numerator is defined as the number
of actual deceased donors in the DSA
who had at least one organ transplanted
based on data reported to the OPTN. In
the current § 486.302 Definitions, we
define ‘‘Donor’’ to mean a deceased
individual from whom at least one
vascularized organ (heart, liver, lung,
kidney, pancreas, or intestine) is
recovered for the purpose of
transplantation. We are proposing to
change this definition to require that the
organ be transplanted, not just
recovered. There are three primary
reasons for requiring that the organ be
actually transplanted: (1) To discourage
the discarding of procured organs, (2) to
encourage transplantation of every
organ, including those from single-organ
donors, and (3) because it is easier to
verify the existence of a donor who had
at least one organ transplanted
compared with donors who did not
have an organ transplanted. We are
seeking comments on the change in
definition of ‘‘donor.’’
For the second measure, organ
transplantation rate, we are not
changing the definition of ‘‘Organ,’’ but
propose to provide clarification as to
how the organs are counted (see Table
1) for purposes of determining the organ
transplantation rate (as our current
regulations do not provide the
specificity that we now propose to more
accurately track donations). We are
excluding organs procured for research,
but not transplanted, from our
definition, except for pancreata that are
procured for islet cell transplantation or
research (transplanted or not
transplanted), as this is required by
section 371(c) of the PHS Act. The
numerator is defined as the number of
actual organs transplanted based on data
obtained from the OPTN. We are
seeking comments on this proposed
change and clarification.
TABLE 1—ORGANS TRANSPLANTED
COUNT
Organ type
Right or Left Kidney ..............
Right and Left Kidney ...........
Double/En-Bloc Kidney .........
Heart .....................................
Intestine ................................
Intestine Segment 1 or Segment 2 ...............................
Intestine Segment 1 and
Segment 2 .........................
Liver ......................................
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Number of
organs
transplanted
1
2
2
1
1
1
2
1
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TABLE 1—ORGANS TRANSPLANTED
COUNT—Continued
Organ type
Number of
organs
transplanted
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Liver Segment 1 or Segment
2 ........................................
Liver Segments 1 and Segment 2 ...............................
Right or Left Lung .................
Right and Left Lung ..............
Double/En-bloc Lung ............
Pancreas (transplanted
whole, research, islet
transplant) .........................
Pancreas Segment 1 or Segment 2 ...............................
Pancreas Segment 1 and
Segment 2 .........................
1
2
1
2
2
1
1
2
Some members of the OPO
community have stated that the
proposed measure, organ
transplantation rate, reflects the
transplant hospitals’ acceptance
practices and that OPOs should not be
held accountable for the transplant
hospitals’ decisions. We understand the
role of transplant hospitals in the organ
transplantation rate measure; however,
we also recognize the influence OPOs
have on transplant hospital practice
through OPO advisory boards
(§ 486.324(a)(5)), which include a
transplant surgeon from every
transplant hospital in the DSA.
Although the historical basis of this
requirement was so that transplant
hospitals could advise OPOs about
transplant practices and have input into
their policies,12 we believe the
relationship has evolved bilaterally,
such that OPOs can educate transplant
hospitals in the DSA about the
performance of organs that were turned
down by one hospital, but accepted by
another. By serving on the OPO
advisory board, transplant surgeons can
learn more about the practices of the
other transplant surgeons on the board,
as well as about acceptance practices at
transplant hospitals outside the DSA,
and share that information with their
own transplant hospitals. We also note
that OPOs are often expected to place
their organs outside of their DSA; our
understanding of organ transplant
practice is that there are numerous
transplant hospitals throughout the
country that successfully transplant
‘‘less than perfect’’ organs. It is our
belief that given the unacceptable
number of patients dying on the waiting
list or on dialysis waiting for a
transplant, there are transplant hospitals
12 Senate
Report 104–256—Organ and Bone
Marrow Transplant Program Reauthorization Act of
1995 and § 486.324.
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in the U.S. that will accept ‘‘less than
perfect,’’ but still transplantable organs.
As such, we believe it is the OPO’s
responsibility to ensure that those
organs are transplanted, instead of
discarded. Our goal for this rule and the
organ transplantation rate measure is to
incentivize the ‘‘system’’ to establish
efficiencies that will result in
substantial improvement of organ
placement and transplantation.
The numerators for these measures
will be based on the actual donors who
had at least one organ transplanted and
the number of organs procured and
transplanted from those donors in the
DSA. Since the data for the numerators
for both of these measures are already
being submitted by the OPOs and
verified by the transplant hospitals
when they perform the transplant, we
do not believe that these proposed
changes create additional reporting
burdens for the OPOs or the transplant
hospitals.13 Also, we are confident in
the veracity of the information as it can
be corroborated by the OPTN, which has
a record of all organs in which a match
is run for allocation, and requires
reporting of the transplantation by the
OPO, as well as the transplant program,
and requires documentation of the
disposition of the organ.
For both measures, the denominator
(that is, donor potential) is defined as
the number of total inpatient deaths
within the DSA among patients 75 years
of age or younger with a cause of death
that would not be an absolute
contraindication to organ donation. For
calculating the denominator, we would
use data obtained from state death
certificates. Currently, this information
can be obtained from the Center for
Disease Controls’ (CDC), National Center
for Health Statistics’ (NCHS’s) Detailed
Multiple Cause of Death (MCOD) as
described in more detail in this section.
The MCOD is published annually and is
publicly available upon request. The
MCOD meets NCHS data privacy and
security requirements.
The MCOD comprises county-level
national mortality data that include a
record for every death of a U.S. resident
recorded in the U.S. The MCOD files
contain an extensive set of variables
derived from the death certificates
which are standardized across the 57
jurisdictions that provide CDC with the
data (50 states, New York City, the
District of Columbia and the five
territories). The jurisdictions use the
13 The
data submitted to the OPTN has already
been accounted for in the OPTN final rule’s
Paperwork Reduction Act analysis.
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U.S. Standard Certificate of Death as a
template for their forms.14
Within the standard certificate of
death are key variables relevant to our
measures such as where the death
occurred: Hospital (inpatient,
emergency room/outpatient, and dead
on arrival) or somewhere other than a
hospital (hospice facility, nursing home/
long-term care facility, decedent’s home,
other). In addition, there is information
on the cause of death. The information
on the cause of death is based on free
text entered by the certifier, usually a
physician, medical examiner, or
coroner. Based on the causes of death on
the certificate, NCHS assigns a code
from the International Classification of
Diseases, Tenth Revision (ICD–10) to
each cause of death reported. This
coding is done centrally at NCHS with
software designed for this purpose or
manually using expert coders; they have
been using ICD–10 codes since 1999. In
addition to the underlying cause of
death, each record has space for up to
20 multiple cause codes. The ICD–10
codes that could be assigned are found
in CDC’s Instruction Manual, Part 2e,
Volume 1: ICD–10, International
Statistical Classification of Diseases and
Related Health Statistical Classification
of Diseases and Related Health
Problems. Tabular List, 2017; modified
by the National Center for Health
Statistics for use in the classification
and analysis of medical mortality data
in the U.S.15 Although there may be
inaccuracies in the description of the
causes of deaths in these death
certificates, we have no evidence that
there are differences in the rate of errors
on inpatient death certificates based on
the DSA and that any particular DSA
would be disproportionately affected.
Deaths that are not an absolute
contraindication to organ donation are
calculated from those ICD–10 codes and
would exclude clinical causes of death
in which organs would never be used
for transplantation. Our definition of ‘‘a
death that is not an absolute
contraindication to organ donation’’
means all deaths except those identified
by the specific ICD–10 codes that would
preclude donation under any
circumstance. This information would
be obtained from the state death
certificates, and include both immediate
cause of death and contributing causes
of death. We have listed the three
character categories of ICD–10 codes in
Table 2 to be absolute contraindications
to organ donation which was generated
14 https://www.cdc.gov/nchs/data/dvs/DEATH1103final-acc.pdf.
15 https://www.cdc.gov/nchs/data/dvs/2e_
volume1_2017.pdf.
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from and reviewed by several sources
(the current list of eligible deaths,
public stakeholder input, and HHS
medical advisors). We are interested in
comments on whether all appropriate
subcategories are included and whether
70633
other ICD–10 codes should also be
excluded from the denominator.
TABLE 2—ICD–10 CODES EXCLUDED FROM THE DENOMINATOR
Tuberculosis .............................................................................................
Other bacterial diseases ...........................................................................
Viral infections of the central nervous system .........................................
Viral infections characterized by skin and mucous membrane lesions ...
Human immunodeficiency virus [HIV] disease .........................................
Sequelae of infectious and parasitic diseases .........................................
Malignant neoplasms of lip, oral cavity and pharynx ...............................
Malignant neoplasms of digestive organs ................................................
Malignant neoplasms of respiratory and intrathoracic organs .................
Melanoma and other malignant neoplasms of skin .................................
Malignant neoplasms of bone and articular cartilage ..............................
Melanoma and other malignant neoplasms of skin .................................
Malignant neoplasms of methothelial and soft tissue ..............................
Malignant neoplasm of breast ..................................................................
Malignant neoplasms of female genital organs .......................................
Malignant neoplasms of male genital organs ..........................................
Malignant neoplasms of thyroid and other endocrine glands ..................
Malignant neoplasms of ill-defined, secondary and unspecified sites .....
Malignant neoplasms of lymphoid, haematopoietic and related tissue ...
Malignant neoplasms of independent (primary) multiple sites .................
Neoplasms of uncertain or unknown behavior .........................................
Coagulation defects, purpura and other haemorrhagic conditions ..........
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Metabolic disorders ..................................................................................
Infections specific to the perinatal period .................................................
One of our current measures used to
measure OPO performance relies upon
measuring the donation rate based on
eligible deaths. While the ‘‘eligible
death’’ definition allows for a more
narrow and definitive estimation of the
organ donation potential, it also limits
the pool of potential organ donors by
which OPOs are evaluated and does not
take into account the advances in
medicine that could expand the pool of
potential donors (such as, very effective
treatments for hepatitis C allowing
hepatitis C positive donors to donate to
patients who do not have hepatitis C); 16
further, it is subject to bias in
interpretation and reporting. By using
inpatient deaths from this objective data
source and eliminating causes of death
that are absolute contraindications to
organ donation, we are targeting a
specific population that is more likely to
be organ donors and mitigating concerns
that the data could be manipulated
16 Woolley, AE, et al, ‘‘Heart and Lung
Transplants from HCV-Infected Donors to
Uninfected Recipients,’’ NEJM, 2019; 390:1606–
1617.
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All.
A39 Meningococcal infection.
A40 Streptococcal septicaemia.
A41 Other septicaemia.
A82 Rabies.
B03 Smallpox.
B20 Human immunodeficiency virus [HIV] disease with infectious and
parasitic diseases.
B21 Human immunodeficiency virus [HIV] disease with malignant neoplasms.
B90 Sequelae of tuberculosis.
All.
All.
All.
C43 Malignant melanoma of skin.
All.
All.
All.
All.
All.
All.
All.
All.
All.
All.
D44 Neoplasm of uncertain or unknown behaviour of endocrine glands.
D46 Meylodysplastic syndromes.
D47 Other neoplasms of uncertain or unknown behavior of lymphoid,
haematopietic and related tissue.
D48 Neoplasms of uncertain or unknown behavior of other and unspecified sites.
D65 Disseminated intravascular coagulation [defibrination syndrome].
D69 Purpura and other haemorrhagic conditions.
E84 Cystic fibrosis.
P36 Bacterial sepsis of newborn.
based upon varying interpretations of an
eligible death.
The denominator will be the number
of inpatient deaths of someone 75 years
old or younger identified using the most
recent prior 12 months of available data
from the state death certificates from the
DSA, and the numerators will be based
on the number of donors and organs
transplanted during the same
corresponding time period. We chose to
calculate our measures based on the
most recent prior 12 months of available
data from the DSA because we do not
want to penalize OPOs that have
improved their performance by using
older data. Also, since the purpose of
our performing this assessment is to recertify an OPO for another 4 years,
historical performance from more than
two years prior may be less reflective of
current performance or less predictive
of future performance. Finally, we are
interested in comments on whether
there are alternative or additional data
sources or types we should consider,
including those already being collected,
when assessing OPO performance. As
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stated earlier, we acknowledge that
there are certain limitations of the CDC
Multiple Cause of Death File. We are
therefore interested in whether there are
additional data sources, such as those
collected by the OPTN, which could
supplement the precision of outcome
measures. We are also interested in the
availability and utility of additional
types of data, such as donor enrollment
practices, discarded organs, or referral
management.
In the regulatory impact analysis
(RIA) section of this proposed rule, we
present tables reflecting the results of
our proposed measures using data from
January 1, 2017 to December 31, 2017.
We found a wide range of donation rates
(1.65 to 6.45 donors/100 inpatient
deaths) and organ transplantation rates
(4.47 to 21.14 transplants/100 inpatient
deaths). We did not find a correlation
between the performance of OPOs and
the number of deaths (reflecting
experience with larger volumes of
potential donors) or the number of
patients on the waiting list (reflecting
the demand for organs) in the DSA.
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Although Cannon et al. found
statistically significant clustering of the
top 5 causes of death in organ donors
(blunt trauma, gunshot wounds, drug
overdose, cerebrovascular accidents,
and cardiovascular disease), we
compared the donation rates and organ
transplantation rates using these
proposed measures to the geographic
variability in those top five causes of
death and found no correlation between
high OPO performance and distribution
or incidence of those causes of death.17
We examined the characteristics of the
DSAs among the top 25 percent
performing OPOs and found that they
include geographic areas representative
of all parts of the U.S. and diverse racial
and ethnic populations. Despite this
seemingly broader definition of
potential organ donors, we did not
notice any particular geographic
patterns (including urban vs. rural)
distinguishing the top performing OPOs
from the rest of the cohort, leading us
to conclude that our broad definition,
inpatient deaths among those 75 and
younger within the DSA, excluding
causes of deaths that are an absolute
contraindication for organ donation,
appropriately describes the donor
potential in a DSA and that the primary
factors for differences in OPO
performance using these measures are
within the control of the OPOs to
change. We are seeking comments as to
the accuracy of our assessment and
whether additional research is necessary
to ensure that all DSAs will be impacted
equally under the new measures.
Specifically, we are requesting public
comments that provide evidence-based
support, such as peer-reviewed
literature, that we should consider to
inform our conclusion that our
proposed definitions would not
disadvantage any particular OPO as a
result of population demographics or
incidence of disease within a DSA.
Since our criteria for the denominator
takes into consideration many of the
clinical characteristics associated with
possible organ donation (the age of the
potential donor, the inpatient
hospitalization, and contraindication to
donation), we believe all appropriate
risk-adjustments to the clinical
characteristics of the donor potential
have been made. We are aware of
literature identifying racial disparities
among organ donors, specifically that
African Americans were less willing to
donate their own organs compared with
17 Cannon RM, Jones CM, et al, ‘‘Patterns of
geographic variability in mortality and eligible
deaths between organ procurement organizations,’’
AmJTransplant. 2019;00:4 (Fig. 2).
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whites (72.6% v. 88.3%).18 However,
we are concerned regarding the
applicability of that study, given it was
from 2000, and more recent evidence
suggesting that the racial concordance of
the OPO requester plays a role in the
rate of authorization for organ
donation.19 Further, we are not aware of
any validated coefficients that reflect
the likelihood of a particular racial/
ethnic group to donate organs and we
are concerned that any current riskadjustments factors being used include
the historical poorer performances.
Based on the most recent literature and
our internal analyses, we have decided
not to risk-adjust for race. We seek
comments as to whether there is other
literature or data regarding race or other
demographics or other public health
factors that warrant the consideration of
further risk adjustment.
Similarly, we are not proposing any
additional risk-adjustments to our
measures other than the exclusion of the
ICD–10 codes that are absolute
contraindications to organ donation, the
age of 75 and younger, and the
requirement that the death occurred as
an inpatient in the hospital. However,
we are seeking comments on whether
other risk-adjustments are necessary and
which ones, such as donor demographic
characteristics (race, gender, age,
disease condition) or DSA
characteristics (number of ICU beds or
level I and II trauma centers), would be
significant and clinically appropriate in
the context of our proposed approach to
identifying OPOs in need of improved
performance. If risk adjustment were to
be implemented, it would likely be done
retrospectively by identifying risk
factors that have a statistically
significant impact on transplantation
rates using regression analysis. We are
interested in comments on specific risk
adjustment public health emergencies or
other local activities (for example,
legislative changes on presumed
consent). We are also requesting that
commenters provide evidence and data
sources that would be necessary to
calculate the risk-adjustments
recommended. Finally, we are seeking
comments about any potential
unintended consequence of using riskadjustments to our measures. Depending
on the substance of the public
comments received, we could establish
18 Siminoff, LA, et al, ‘‘Racial Disparities in
Preferences and Perceptions Regarding Organ
Donation,’’ JGIM, 2006; 21:995–100.
19 Bodenheimer, HC, et al, ‘‘The Impact of Race
on Organ Donation Authorization Discussed in the
Context of Liver Transplantation,’’ Transactions of
the American Clinical and Climatological
Association, Vol. 123, 2012.
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a risk adjustment methodology in the
final rule.
In order to ensure that our measures
adjust to changes in medical technology
and causes of death and in order to
achieve the goal of doubling the number
of kidneys available for transplantation
by 2030, we are proposing to use our
measures in the context of a
comparative donation rate and organ
transplantation rate relative to the
highest-performing OPOs. By using
comparative rates, we assume that the
highest performing OPOs are adjusting
their practices to reflect medical
technology and other factors that may
impact the number of donors and organs
transplanted. Our ultimate definition of
success, however, is to encourage the
performance of all OPOs to cluster
around the highest performers.
Therefore, our proposed definition of
success will be based on how OPOs
perform on the outcome measures of
donation rate and organ transplantation
rate compared with the top 25 percent
of donation and transplantation rates for
OPOs. We acknowledge that there may
be other success factors for assessing
performance of OPOs outside of the two
outcome measures of donation rate and
organ transplantation rate. Thus, we are
soliciting public comments on whether
or not comparing OPO performance
should be based solely on the
performance of the top 25 percent of
OPOs within these two outcome
measures, whether a different percentile
or calculation of OPO performance
should be used, or whether additional
outcome, structure, or process criteria
could be used to inform stakeholders of
OPO performance over time.
In determining our calculations, we
will establish a threshold donation rate
and organ transplantation rate based on
the lowest rate among the top 25 percent
of donation rates and organ
transplantation rates during the 12month period prior to the time period
that is being evaluated. For example, if
we are doing an assessment on
December 31, 2024 and using data from
January 1, 2023 to December 31, 2023,
the threshold rates would be based on
the lowest donation rate and organ
transplantation rate of the top 25
percent donation and organ
transplantation rates for the time period
of January 1, 2022 to December 31,
2022. Since there are currently 58 OPOs,
there are 15 OPO rates (rounded to the
closest integer) in the top 25 percent.
There are two primary benefits for using
this separate cohort to establish the
threshold rates: (1) The predetermined
threshold rate obtained from an external
source would be known to OPOs before
their evaluation cycle and (2) from a
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statistical standpoint, such a
predetermined threshold rate would be
considered a known constant, not
subject to random variation. If we were
to use a threshold rate based on the
same time period being evaluated, then
the threshold rate would not be known
to OPOs before their evaluation cycle.
From a statistical standpoint, such a
threshold rate would not be considered
a constant; in that case, its uncertainty
would need to be accounted for in the
testing procedure, resulting in lower
statistical power. To avoid this problem,
we instead use a predetermined
threshold rate obtained from an external
source.
Then, we will determine whether the
donation rates and organ transplantation
rates for each of the OPOs are
statistically significantly lower than the
predetermined threshold rate by
calculating the 95 percent confidence
interval (CI) for each OPO and flagging
those OPOs whose upper limit of the
one-sided 95 percent CI is lower than
the threshold rate. By using this
approach, we allow all OPOs the
opportunity to re-certify as long as their
performance is not statistically
significantly different from the top 25
percent.
Importantly, Executive Order 13879
recognizes the problem of organ
discards. In choosing the 25 percent
cutoff, we hope to encourage OPOs to
successfully place every organ they
procure and to improve their donation
rates. We analyzed the impact of these
new outcome measures on data from
January 1, 2017 to December 31, 2017
and determined that if all
underperforming OPOs reached the
threshold rate for that time period, we
would have approximately 4,900 more
organs transplanted. According to the
OPTN data, from that same time period,
there were a total of 4,905 organs
discarded, of which 3,542 were
kidneys.20 A recent study showed that
if U.S. transplant centers expanded the
type of deceased donor kidneys that
they transplanted to include the lower
quality kidneys, similar to those
transplanted in France, there would be
17,435 more kidneys transplanted,
resulting in 132,445 allograft years over
an 11-year period.21
However, eliminating all
inappropriate organ discards alone will
20 OPTN databased accessed on August 28, 2019
(https://optn.transplant.hrsa.gov/data/view-datareports/build-advanced/).
21 Aubert, Reese, et al, ‘‘Disparities in Acceptance
of Deceased Donor Kidneys Between the United
States and France and Estimated Effects of
Increased US Acceptance, JAMA Intern Med.
Published online August 26, 2019. Doi:10.1001/
jamainternmed.2019.2322.
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not be enough to achieve the 4,900 more
organs transplanted that we hope to
achieve in setting the top 25 percent
threshold. The reason we believe a top
25 percent threshold rate is appropriate
is that we also found a wide variation
in donation rates among OPOs,
suggesting that there is significant
opportunity, especially among the
lower- performing OPOs, to increase
their donation rates and subsequently,
their organ transplantation rates. If we
had not seen such a wide variation in
donation rates, we would have aligned
our expected increase in organs
transplanted with the number of organs
discarded that we believed could be
transplantable and set a lower threshold
rate, such as 30 percent or 40 percent.
We are seeking comments on the
threshold rate cutoffs for determining
success and our methodology for
calculating the threshold rates.
Our proposed measures are similar to
the measures presented in the study,
‘‘Importance of incorporating
standardized, verifiable, objective
metrics of organ procurement
organization performance into
discussions about organ allocation.’’ 22
This study describes a similar approach
using the NCHS data, but uses a cause,
age, and location consistent (CALC)
donation measure. We are actively
considering this approach as well as
other alternatives and have described
them in greater detail in the RIA,
Section G: Alternatives Considered.
We believe that the consistency and
quality of these proposed measures
would be a significant improvement
over the current measures because they
would rely on independent data to
measure donor potential. Stakeholders
have increasingly brought to CMS’ and
HHS’ attention that the self-reporting of
data could inadvertently reward poor
performance, suggesting that OPOs who
are less proficient at identifying eligible
deaths in their donation service area
could have lower denominators,
resulting in higher rates of donations.
The current outcome measures also
include potentially burdensome OPO
self-defined and self-reported ‘‘eligible
deaths’’ for evaluation purposes. We
believe that using CDC data on inpatient
deaths from the state death certificates
as the denominator would greatly
reduce reporting burdens on OPOs and
allow them to more efficiently utilize
their resources to improving donation
rates and organ transplantation rates.
22 Goldberg D, Karp S, et al, ‘‘Importance of
incorporating standardized, verifiable, objective
metrics of organ procurement organization
performance into discussions about organ
allocation,’’ Am J Transplant. 2019;00:1–6.
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70635
By establishing a definition of success
that is compared with the top
performing OPOs, we hope to increase
the number of organs, particularly
kidneys, to achieve the goal of doubling
kidney transplantations by 2030.
Therefore, we do not think it is
appropriate for us to include a measure
that assesses the OPO’s actual donation
or transplantation rates based on their
expected donation or transplantation
rates since that measure relies on
average performances to assess OPOs.
Our new measures are designed to drive
OPOs to perform optimally by
motivating them to pursue every organ,
every time, rather than setting standards
at or near the current average
performance. For all the reasons stated
above, we believe that the proposed
changes to our outcome measures would
standardize the assessment of OPO
performance, reduce reporting burdens
on OPOs, and increase the number of
transplantable organs. We would expect
OPOs to continue their quality
improvement efforts through their
Quality Assurance and Performance
Improvement (QAPI) program, as
required by our rules at § 486.348, and
they would continue to seek and
implement best practices for organ
procurement. We note that OPOs are
already required to develop, implement,
and maintain a comprehensive, datadriven QAPI program designed to
monitor and evaluate performance of all
donation services, and we expect them
to use the data provided as part of their
QAPI program.
In the current regulations, we have
specifically separated OPOs operating
exclusively in noncontiguous States,
Commonwealths, Territories, or
possessions from the other OPOs. In this
proposed rule, we are not proposing
different outcome measures for these
OPOs because we believe the residents
of those areas deserve every opportunity
for organ transplantation and that OPOs
servicing those areas should perform at
the same level as the top 25 percent of
OPOs. Although these OPOs may not be
in a DSA with transplant hospitals
capable of transplanting all organs that
possibly could be procured, organs are
frequently offered to hospitals outside of
the DSAs in which they are procured.
Further, we believe that geographical
distances may not be as much of a
hurdle as previously believed. For
example, the OPO in Puerto Rico is
geographically proximal to the
continental U.S. where there are
numerous transplant hospitals. The
OPO in Hawaii may have more
difficulty placing all organs given how
long it takes to reach the continental
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U.S. from there; however, we
understand that there are new
technologies that could be employed to
allow for transport for organs that
cannot tolerate longer transport time
(such as for kidneys, livers, and lungs)
and that the geographic distance may be
less of a barrier to placement of these
organs. We are seeking comments on
this proposed change, particularly the
burden and unique challenges that may
face OPOs in the noncontiguous States,
Commonwealths, Territories, or
possessions, and whether using just the
kidney transplantation rate for the
Hawaii OPO would be an appropriate
measure of performance as discussed in
the RIA, Section G: Alternatives
Considered.
B. Proposed Changes to Definitions
(§ 486.302) and Re-Certification and
Competition Processes (§ 486.316)
In line with our proposal to change
the outcome measures at § 486.318, as
discussed in section II.A. of this
document, we are proposing to modify
language in § 486.316(a)(1) that an OPO
must meet two out of the three outcome
measures at § 486.318 and at § 486.316
(a)(3) that for the 2022 re-certification
cycle only that an OPO must meet one
out of the two outcome measures
described in § 486.318 (a)(1) and (3) and
(b)(1) and (3). We are also proposing to
remove several definitions from
§ 486.302, since these terms would no
longer apply. Specifically, we are
proposing to remove the definitions of
‘‘eligible death,’’ ‘‘eligible donor,’’
‘‘expected donation rate,’’ ‘‘observed
donation rate’’, and ‘‘Standard criteria
donor (SCD)’’. Finally, we are proposing
to modify the definition of ‘‘donor’’ as
described in section II.A of this rule and
are proposing to add the terms ‘‘death
that is not an absolute contraindication
to organ donation,’’ ‘‘donation rate,’’
‘‘donor potential,’’ and ‘‘organ
transplantation rate.’’ We are proposing
to define these terms as follows:
• ‘‘Death that is not an absolute
contraindication to organ donation’’: All
deaths from the state death certificates
except those with any cause of death
identified by the specific ICD–10 codes
that would preclude donation under any
circumstance.
• ‘‘Donor potential’’: Is the number of
inpatient deaths with in the DSA among
patients 75 and younger with any cause
of death that is not an absolute
contraindication to organ donation.
• ‘‘Donation rate’’: Is the number of
donors as a percentage of the donor
potential.
• ‘‘Organ transplantation rate’’: The
number of organs transplanted as a
percentage of the donor potential.
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Accordingly, we are proposing to
modify the reporting requirements in
§ 486.328 to eliminate the reporting of
the ‘‘Number of eligible deaths’’ and
modifying the reporting of ‘‘Number of
eligible donors’’ to ‘‘Number of donors.’’
In addition, we are proposing to revise
the language that incorrectly refers to
the ‘‘Scientific Registry of Transplant
Beneficiaries’’ and ‘‘DHHS’’ in this
section. We would instead include the
terms ‘‘Scientific Registry of Transplant
Recipients’’ and ‘‘HHS.’’ We are
requesting comments on these
proposals.
Sections 486.316 (c) and (d) describe
the criteria that an OPO must meet in
order to compete for an open service
area and the criteria for selection of an
OPO for an open service area,
respectively. Once an OPO is decertified and their agreement is
terminated, either voluntarily or
involuntarily as described in § 486.312,
the OPO’s service area is open to
competition from other OPOs. Under
§ 486.316(b), the OPO that has been decertified is not permitted to compete for
its service area or any other service area.
If an OPO is interested in competing for
an open service area, the OPO must
submit information and data that
describe the barriers in its service area,
how they affected organ donation, what
steps the OPO took to overcome them,
and the results. These current
requirements for competition once an
OPO is de-certified will continue to
apply if we finalize the changes to the
outcome measures described in this
proposed rule. If no OPO applies to
compete for a de-certified OPO’s open
area, § 486.316 (e) allows for CMS to
select a single OPO to take over the
entire open area or adjust the service
area boundaries of two or more
contiguous OPOs to incorporate the
open area. CMS would select the new
OPO to take over the entire open area
based on the criteria set out at
§ 486.316(d); however, our regulations
do not require that the DSAs merge
when a new OPO takes over. However,
we acknowledge that decertification of
multiple OPOs could require changes to
OPTN policies. We are soliciting
comments on our current regulations
related to assigning an open DSA in the
case where no OPO applies to compete
for that open area or in the case where
CMS selects an OPO to take over the
entire open DSA, but the OPO refuses to
do so.
Our goal is to ensure continuous
coverage of an OPO service area in the
event an OPO is decertified. Although
we would attempt to minimize
disruptions to organ procurement
services in an open service area as much
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as possible, we acknowledge that there
is the potential for disruption when one
or multiple OPOs are decertified. We are
therefore seeking comments on ways
that we can reduce any potential
disruptions when an OPO is decertified
and their service area is open to
competition. We are particularly
interested in comments on such
potential options including ways that
we could improve or ease the process of
transitioning an open service area from
the decertified OPO to another OPO and
other related factors that may impact
organ donation or the OPO’s ability to
meet the outcome measures.
OPOs are also required to meet certain
criteria in order to compete for an open
service area. In general, OPOs must
meet two out of the three outcome
measures requirements at § 486.318
(with the exception of the 2022 recertification cycle where OPOs are
required to meet one out of two outcome
measures) and the OPO must be in
compliance with the requirements for
certification at § 486.303, including the
conditions for coverage at §§ 486.320
through 486.360. The OPO that is
applying to compete for the open
service area must also meet additional
criteria, including that the OPO’s:
• Performance on the donation rate
outcome measure and yield outcome
measure is at or above 100 percent of
the mean national rate averaged over the
4 years of the re-certification cycle; and
• Donation rate is at least 15
percentage points higher than the
donation rate of the OPO currently
designated for the service area.
• The OPO must also compete for the
entire service area.
These existing requirements,
however, are not consistent with our
proposed method of assessing an OPO’s
performance, which would compare
OPOs to an established threshold rate
(using the lowest rate among the top 25
percent of donation rates and organ
transplantation rates during the 12month period prior to the time period
that is being evaluated). We therefore
are proposing to remove the additional
requirement for an OPO’s performance
on the donation rate outcome measure
and yield outcome measure (is at or
above 100 percent of the mean national
rate averaged over the 4 years of the recertification cycle) and the requirement
that an OPO’s donation rate be at least
15 percentage points higher than the
donation rate of the OPO currently
designated for the service area. We
believe that OPOs will be held to a high
standard of performance under the new
proposed outcome measures. This
would ensure that any OPO that is
seeking to compete for an open service
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area performs significantly better than
the de-certified OPO. By meeting the
outcome measure requirements, an OPO
would also demonstrate its ability to
perform well in its own DSA. We are
soliciting comments on whether there
should be additional criteria beyond
what we are proposing to include here
to demonstrate that an OPO is
performing significantly better than the
de-certified OPO. We are not proposing
to eliminate the requirement that OPOs
compete for the entire service area.
Maintaining this requirement will
prevent competition of partial service
areas, which may lead to OPOs
attempting to obtain certain neighboring
service areas purely for business
reasons, with no regard to whether the
OPO can increase organ donation in
those areas.
Finally, the current requirements list
certain criteria for selection of an OPO
for designation of an open service area
including:
• Performance on the outcome
measures at § 486.318;
• Relative success in meeting the
process performance measures and
other conditions at §§ 486.320 through
486.360;
• Contiguity to the open service area;
and
• Success in identifying and
overcoming barriers to donation within
its own service area and the relevance
of those barriers to barriers in the open
area. An OPO competing for an open
service area must submit information
and data that describe the barriers in its
service area, how they affected organ
donation, what steps the OPO took to
overcome them, and the results.
We are proposing to make a clarifying
change to these requirements to
emphasize that CMS will consider the
current criteria when determining
which OPO to designate for an open
service area. Our original intent was to
list these criteria as guidelines as
opposed to requirements that an OPO
must meet in order to be selected. For
example, we could select a high
performing OPO that meets the outcome
measures and other CfC requirements,
but may not be contiguous to the open
service area. This change would provide
clarity to the circumstances under
which CMS would select an OPO to take
over an open service area.
We are soliciting comments on all of
our proposed changes to § 486.316. We
are especially interested in comments
on whether the contiguity of an OPO to
the open service area is still an
important factor to consider when
selecting an OPO to take over an open
service area. Since we implemented the
OPO CfCs in 2006, there have been
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advances in technology that have
improved organ procurement and
transplantation and that have changed
the way and the speed, in which OPOs
and transplant centers communicate
with each other. It may be the case that
an OPO that is taking over an open
service area may no longer need to be
contiguous to the open service,
especially if that OPO is a high
performer that could increase the
number of organs procured and
eventually transplanted in an open
service area. We are seeking comments
on whether this specific criterion is still
applicable.
We are also soliciting comments on
whether we should reconsider opening
the service area of every OPO for
competition at the conclusion of every
re-certification cycle, regardless of
whether the OPO met the outcome
performance standards for the prior recertification cycle. Under our current
regulations, OPOs that successfully pass
the outcome and process performance
measures and comply with our CfCs are
automatically renewed. Only OPOs that
are unsuccessful in meeting these
regulatory requirements could be decertified. We are seeking comments on
an alternative approach where all OPO
service areas would be open for
competition at the end of each
agreement cycle. Any OPO seeking to
renew the agreement could face
competition from another OPO that
wanted to take over that DSA.
In 2005, we proposed opening every
OPO’s service area for competition at
the end of every re-certification cycle.
Specifically, we proposed that once we
determined that an OPO met the
outcome measures at proposed
§ 486.318 for the previous recertification cycle and was found to be
in compliance with the process
performance measures at §§ 486.320
through 486.360, that we would open
the OPO’s service area for competition
from other OPOs. Some of the
comments we received at the time
included concerns that such a proposal
would threaten cooperation and
collaboration between OPOs, and would
impact the sharing of best practices and
change strategies between OPOs (71 FR
30996). In response to this feedback, we
finalized a modified version of this
proposal whereby this process would
only occur in the service areas of OPOs
that have been de-certified. We are
seeking comments as to whether
circumstances in the past 15 years have
changed that would warrant our
reconsidering our policy of limiting the
competition to just open service areas.
If we were to consider a policy to open
the service areas of all OPOs, we seek
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comment on how much effort it would
take to prepare a bid for the open
service area, how this type of
competition may affect organ donation,
and how it would affect cooperation
when transplant centers are receiving
organs from outside the service area.
C. Proposed Changes to the ReCertification Cycle (§ 486.302 and
§ 486.318)
In accordance with our rules at
§ 486.308(b)(1), OPOs are re-certified on
a four-year cycle. Currently, OPOs are
assessed based on 36 months of data
analysis. This data period begins six
months after the certification period
starts and ends six months prior to the
end of the certification cycle. CMS
analyzes these data and determines if
the OPO is out of compliance with
outcomes prior to the end of the current
cycle and prior to the start of the next
cycle. OPOs are given interim reports
every six months during the
certification period to gauge
performance. The survey and
certification administrative enforcement
actions begin six months before the end
of the certification period. For instance,
the data collection period for the
previous re-certification cycle ended on
December 31, 2017. Re-certification
surveys were conducted January 1, 2018
through July 31, 2018 and outcomes
measures were assessed for the 36
month period beginning January 1, 2015
through December 31, 2017, with the
next certification cycle beginning on
August 1, 2018. We recognize that
waiting a full 36 months to assess and
take actions to improve OPO
performance would result in numerous
lost opportunities to procure and
transplant potentially viable organs.
Therefore, we propose that the outcome
measures assessment occur at least
every year and be based on data from
the most recent 12 months of data from
the state death certificates. OPOs that
are flagged as having donation rates or
organ transplantation rates that are
statistically significantly less than the
threshold rates established by the top 25
percent of OPOs are expected to take
actions to improve their performance
and include the specific actions that
they will undertake to improve their
outcome measures in their QAPI
program. Currently, OPOs receive data
on their performance from the SRTR
every six months, so our proposed
methodology would not provide
assessments as frequently. But, this
approach could provide for a
continuous assessment of OPO
performance and allow for more
responsive performance improvement
actions from low performers because of
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the role of the QAPI program. In the
spirit of transparency, we intend make
these outcome measures public at each
assessment.
Although the assessments would
occur at least once every 12 months, no
OPO may be de-certified until the end
of the re-certification cycle, except in
cases of urgent need.23 We are
proposing to use the most recent prior
12 months of data at the last assessment
cycle before re-certification to be the
basis for de-certification. The reason we
are proposing to use only the prior 12
months of data is that we do not want
to penalize an OPO who has made
legitimate and successful efforts to
improve their performance by including
the older data, nor do we want to
reward an OPO whose recent
performance has fallen to be able to rely
on past performance as the basis for a
subsequent four-year re-certification. In
the past, we have used 36 months of
data to determine re-certification, so we
are seeking comments on the use of the
shorter length of data as opposed to all
the data during the re-certification
cycle. Although using the longer period
of time would include data that does not
reflect the OPO’s current status, it
would allow OPOs who had been
performing adequately through most of
the four-year cycle to remain certified
even if they had a lapse in performance
at the last cycle. We are also seeking
comments on other approaches to use
the data to identify high-performing
OPOs for re-certification.
After considering public comments
and finalizing this rule, we expect to
begin calculations of the outcomes
measures before the beginning of the
next re-certification cycle in 2022. We
are requesting comments on this
proposed change to the applicability of
the outcome measure requirements for
the cycle beginning in 2022 and ending
in 2026.
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D. Proposed Change to the Quality
Assessment and Performance
Improvement Requirement (§ 486.348)
QAPI requirements for OPOs were
first established in 2006 (71 FR 31054).
OPOs are required to develop,
implement, and maintain a
comprehensive, data-driven QAPI
program designed to monitor and
evaluate performance of all donation
23 The Organ Procurement Organization
Certification Act of 2000 changed the recertification cycle from every 2 years to every 4
years; § 486.312(d) and § 486.302 states that CMS
can give written notice of de-certification in cases
of urgent need and defines urgent need as occurring
when an OPO’s noncompliance with one or more
conditions for coverage has caused, or is likely to
cause, serious injury, harm, impairment, or death to
a potential or actual donor or an organ beneficiary.
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services, including services provided
under contract or arrangement under
§ 486.348. In addition, an OPO’s QAPI
program must include objective
measures to evaluate and demonstrate
improved performance with regard to
certain OPO activities, and the OPO
must take actions that result in
performance improvements and track
performance to ensure that
improvements are sustained.
A QAPI program is an important, data
driven process that allows health care
entities to assess their functioning
continuously and make changes to
improve their quality and efficiency
over time. Since we are proposing to
revise the outcome measure
requirements at § 486.318 and the recertification process at § 486.316, we
believe that OPOs should also be
required to include a process to address
and improve poor performance on their
outcome measures as part of their QAPI
program. We currently do not have such
a requirement for an OPO’s QAPI
program, but because OPOs are recertified every 4 years, it is important
that OPOs continuously strive to
improve outcomes over the course of the
re-certification cycle. An OPO’s QAPI
program provides a process to achieve
these improvements. We, therefore, are
proposing to require that OPOs include
a process to evaluate and address their
outcome measures in their QAPI
program if their rates are statistically
significantly lower than the top 25
percent at each assessment, for each
assessment period except the final
assessment. Failure to meet the outcome
measure in the final assessment period
would result in de-certification. For all
other assessment periods, if the OPO
does not meet the outcome measures,
the OPO must identify opportunities for
improvement and implement changes
that lead to improvement in these
measures.
As we have previously described in
this proposed rule, we are proposing
that an OPO’s performance on the
outcome measures be assessed at least
every 12 months, based on the most
recent prior 12 months of data. We
would expect OPOs to use the data that
are obtained from each assessment to
drive changes to their QAPI program in
order to improve their performance on
the outcome measures. If proactive
changes are made early in the recertification cycle, an OPO would be
able to begin to address poor
performance on the outcome measures
early in the re-certification cycle and
prior to the re-certification
determination. We are additionally
interested in whether the QAPI process
is sufficiently robust to capture year
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over year improvements, as well as
other quantitative factors that may not
be captured in our proposed outcome
metrics. As such, we encourage
commenters to consider ways the QAPI
process may be modified or enhanced to
better assess OPO performance relative
to past performance and to other OPOs.
As proposed in this rule, an OPO that
was deemed compliant on its QAPI, but
did not meet one or both of the
proposed outcome measures would be
subject to decertification.
E. Solicitation of Comments
In addition to our requests for
comments throughout the preamble, we
are specifically seeking the public’s
input on the following questions:
• Should OPO outcome measures also
include an assessment of organ
transplantation rates by type of organ
transplanted?
• We are proposing to use a
performance measure that is based on
the OPO’s performance relative to the
top 25 percent of donation rates and
organ transplantation rates. Should CMS
use a static level or a different criterion
from what is being proposed? What
statistical approach to the data or
incentives can we use to encourage all
OPOs to strive to be high performers?
Can the current performance parameter,
which requires that the donation rate be
no more than 1.5 standard deviations
below the mean national donation rate,
be appropriately applied to achieve this
goal? We are requesting that
commenters explain and include any
evidence or data they have to support
their comments.
• What are the benefits,
consequences, or unintended
consequences, of using these two
proposed measures and what are their
potential impact on OPOs, transplant
centers, organ donation, patient access,
and transplant recipients?
• Are there potential additional
compliance burdens on OPOs or
transplant centers if the two proposed
measures were finalized? Please
explain.
In § 486.316(c)(3), we require an OPO
to compete for an entire service area as
a criterion to compete for an open
service area. At this time, we are not
proposing to change this requirement
but would like comments as to whether
we should consider revising this
subsection and redefining the open
service area for competition. Although
we have proposed eliminating the
definition of ‘‘eligible deaths,’’ we have
not proposed to remove the requirement
that OPOs conduct monthly death
record reviews. We are seeking
comments as to whether § 486.348(b)
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should be revised or removed altogether
to eliminate such reviews. Please
include justifications and explanations
in your comments.
We encourage detailed comments that
answer all of the aforementioned
questions. Additionally, in the RIA,
Section G: Alternatives considered, we
discuss a number of different
alternatives that we are actively
considering. These alternatives examine
different type of denominators, different
statistical confidence intervals for
calculations, and different threshold
rates for assessment. We are actively
considering these policy alternatives
and are seeking comments on them.
III. Collection of Information
Requirements
Under the Paperwork Reduction Act
(PRA) 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 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.
We are soliciting public comment on
each of these issues for the following
sections of this document that contain
information collection requirements
(ICRs):
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A. ICRs Regarding Re-Certification and
Competition Processes (§ 486.316)
At § 486.316(b), we are proposing to
modify language that refers to the
current outcome measure requirements
that states that an OPO must meet two
out of the three outcome measures at
§ 486.318. They would instead be
required to meet both newly proposed
outcome measures, or face decertification which may then be
appealed by the OPO. If the OPO does
not appeal or the OPO appeals and the
reconsideration official and CMS
hearing officer uphold the decertification, the OPO’s service area
would be opened for competition by
other OPOs.
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The current information collection
request for the OPO CfC (OMB Control
Number 0938–0688, Exp. February
2021) estimates that one OPO would
face de-certification per year, and under
the proposed outcome measures, this
number would have potential to
increase. We do not know exactly how
many would be de-certified under these
new measures; however, based on the
improvement required to meet the
proposed measures it is possible that
approximately 7 to 33 OPOs could be
de-certified. Assuming some number of
these de-certifications are upheld, their
respective service areas would be
opened for competition.
Under § 486.316(b), an OPO
competing for an open service area must
submit information and data that
describe the barriers in its service area,
how they affected organ donation, what
steps the OPO took to overcome them,
and the results. In addition, § 486.316(c)
states that to compete for an open
service area, an OPO must meet the
performance requirements of the
outcome measures at § 486.318 and the
requirements for certification at
§ 486.303, including the conditions for
coverage at §§ 486.320 through 486.348.
The OPO must also compete for the
entire service area.
The burden associated with this
requirement is the time it would take to
create a document that contains the
required information and data related to
the OPO’s success in identifying and
addressing the barriers in its own
service area and how they relate to the
open service area. We will refer to this
documentation as a plan.
Based on historical data and our
previous experience with the OPOs, we
would expect a total of nine OPOs will
want to compete for a new service area
and three of those OPOs may want to
compete for more than one service area.
Thus, we believe there will be a total of
12 plans that will need to be developed
for the competition process.
We believe that developing each plan
would require the collective efforts of a
QAPI director (Registered Nurse, $71/
hour), organ procurement coordinator
(RN or social worker, $71/hour),
medical director ($107/hour), OPO
director ($107/hour), and a medical
secretary ($35/hour). All wages are
adjusted upwards by 100 percent to
account for the cost of fringe benefits
and overhead. Assuming, consistent
with past rulemaking, that it would take
these professionals 104 hours to develop
such a plan, we estimate each
competition would require 1,248 burden
hours for all 9 OPOs to complete 12
plans and would cost all 9 OPOs
$79,416 (($71 RN × 30 hours × 9 OPOs)
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+ ($71 organ procurement coordinator ×
30 hours × 9 OPOs) + ($107 medical
director × 12 hours × 9 OPOs) + ($107
OPO director × 30 × 9 OPOs) + ($35
medical secretary × 2 hours × 9 OPOs)).
For the annual burden, each of these
figures needs to be divided by 4, since
competition for open service areas will
typically occur every 4 years. Thus, the
annual burden hours for all 9 OPOs to
prepare 12 plans would be 312 (1,248/
4) and the annual cost estimate would
be $19,854 ($79,416/4).
B. ICRs Regarding Condition: Reporting
of Data (§ 486.328)
We are proposing to revise § 486.318
to eliminate the reporting of the
‘‘Number of eligible deaths’’ and modify
the reporting of ‘‘Number of eligible
donors’’ to ‘‘Number of donors.’’
Although the current outcome measures
include the potentially burdensome
OPO self-defined and self-reported
‘‘eligible deaths’’ for evaluation
purposes, the current information
collection request for the OPO
requirements (OMB Control Number
0938–0688, Exp. February 2021) does
not attribute any burden to this
requirement. This is because the type of
data and how it is reported to the OPTN
is already covered by the information
collection requirements associated with
the OPTN final rule (42 CFR 121). Thus,
we are not attributing any quantifiable
burden reduction to this proposed
change.
C. ICRs Regarding Quality Assessment
and Performance Improvement
(§ 486.348)
At § 486.348(d) we are proposing to
require that OPOs include a process to
evaluate and address their outcome
measures in their QAPI program if their
rates are statistically significantly lower
than the top 25 percent at each
assessment. Assessments would occur at
least every 12 months with the most
recent prior 12 months of available data,
meaning there would be 3 assessments
in each 4 year re-certification cycle that
might require modifications to an OPO’s
QAPI program.
As stated in the information
collection request for the OPO
requirements (OMB Control Number
0938–0688, Exp. February 2021), we
believe the information collection
requirements associated with
maintaining a QAPI program are exempt
as defined in 5 CFR 1320.3(b)(2) because
the time, effort, and financial resources
necessary to comply with this collection
of information would be incurred by
persons in the normal course of their
activities. Accordingly, we do not
believe this proposed change would
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impose any additional ongoing
quantifiable burden.
If you comment on these information
collection, that is, reporting,
recordkeeping or third-party disclosure
requirements, please submit your
comments electronically as specified in
the ADDRESSES section of this proposed
rule.
Comments must be received on/by
February 21, 2020.
IV. 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.
lotter on DSKBCFDHB2PROD with PROPOSALS2
V. Regulatory Impact Analysis
A. Statement of Need
All major government regulations
should undergo periodic review to
ensure that they do not unduly burden
regulated entities or the American
people, and that they accomplish their
goals effectively and efficiently. It has
been apparent for a number of years that
the current system for organ donation
and the rules under which OPO
performance is measured do not create
the necessary incentives to optimize
organ donation and transplantation as
evidenced by performance
discrepancies among OPOs, the wide
geographic and population diversity
among both higher- and lowerperforming OPOs, and the significant
gap between the number of potential
organ donors and the number of actual
donors (see the following Tables 3 and
4). Recent article titles tell the story as
well: ‘‘Reforms to Organ Donation
System Would Save Thousands of Lives,
Millions of Taxpayer Dollars Annually,’’
‘‘Lives Lost, Organs Wasted,’’ and ‘‘A
Simple Bureaucratic Organ Donation
Fix Will Save Thousands of Lives.’’ 24
All three of these articles include, or
reference, in-depth studies of the
current organ donation system’s
problems and discuss reforms that could
increase its performance. These
problems and the reforms needed to
improve organ donation and
transplantation have multiple
dimensions, including the
24 These
articles were written by and published
in: Goran Klintman, RealClearHealth, March 4,
2019; Kimberly Kindy, Lenny Bernstein, and Dan
Keating, Washington Post, December 20, 2018; and
Laura and John Arnold, STAT, July 24, 2019.
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underperformance of many OPOs to
procure and place organs at the levels of
the best-performing OPOs and is the
basis for President Trump’s July 10,
2019 Executive Order on Advancing
American Kidney Health, to ‘‘increase
access to kidney transplants by
modernizing the organ recovery and
transplantation systems and updating
outmoded and counterproductive
regulations.’’
We note that the Secretary recently
issued a final rule to reduce regulatory
burden on several types of health care
providers (‘‘Medicare and Medicaid
Programs; Regulatory Provisions To
Promote Program Efficiency,
Transparency, and Burden Reduction;
Fire Safety Requirements for Certain
Dialysis Facilities; Hospital and Critical
Access Hospital (CAH) Changes To
Promote Innovation, Flexibility, and
Improvement in Patient Care,’’ 84 FR
51732, September 30, 2019) that directly
addresses the same policy concern.
Under that final rule, performance
standards for transplant hospitals were
revised to reduce the practice of
transplanting only the best organs in the
healthiest patients and allowing
transplantable organs to be discarded
and sicker patients to die without a
transplant. Those performance
standards rewarded very high one-year
organ and patient survival rates by
threatening program closure to hospitals
that did not achieve such rates. In so
doing, those performance standards
gave no weight to maximizing treating
the many patients on the waiting lists
whose lives would be saved, even at a
higher risk of failure. As discussed in
the regulatory impact analysis (RIA) for
CMS–3346–F, there is the potential for
regulatory reform to reduce the number
of ‘‘transplant quality’’ discarded
organs, and through transplantation of
those organs, save the lives of many
patients each year.
Finally, the Executive Order directs
the Secretary of HHS as follows:
‘‘Within 90 days of the date of this
order, the Secretary shall propose a
regulation to enhance the procurement
and utilization of organs available
through deceased donation by revising
Organ Procurement Organization (OPO)
rules and evaluation metrics to establish
more transparent, reliable, and
enforceable objective metrics for
evaluating an OPO’s performance.’’ That
directive applies directly to this
proposed rule.
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), E.O. 13132 on
Federalism (August 4, 1999), the
Congressional Review Act (5 U.S.C.
804(2)) and E.O. 13771 on Reducing
Regulation and Controlling Regulatory
Costs (January 30, 2017).
E.O. 13771 states that it is essential to
manage the costs associated with the
government imposition of private
expenditures required to comply with
federal regulations and establishes
policies and procedures to reduce the
costs of both new and existing federal
regulations. 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 E.O. 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 E.O.
An RIA must be prepared for major
rules with economically significant
effects ($100 million or more in any one
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 an RIA that to the best
of our ability presents the costs and
benefits of this rulemaking.
B. Scope of Review
We have examined the impacts of this
proposed rule as required by E.O. 12866
on Regulatory Planning and Review
(September 30, 1993), E.O. 13563 on
C. Effects on OPO Performance
We are proposing two new outcome
measures that would be used to assess
an OPO’s performance: A measure of an
OPO’s donation rate and organ
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transplantation rate. Table 3 shows
current performance using the donation
rate outcome measure that we propose
derived from data spanning January 1,
2017 to December 31, 2017. The number
of potential donors is similar to the
measure used in the current regulatory
provisions (on numbers of deceased
persons that potentially qualify as organ
donors, but the proposed measure
would be nationally standardized, using
an objective data source); however, the
performance variable is the number of
actual donors who had at least one
organ transplanted, regardless of the
number of organs that each provides.
This measure focuses on the key task of
obtaining family consent, clinically
managing the donor, and arranging for
the actual surgical and handling
procedures involved in getting at least
one organ from the deceased donor to
placement in a patient on a waiting list.
Hearts, lungs, kidneys, intestine, and
pancreata (those transplanted or sent for
research) count towards this measure of
success.
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In the tables that follow, the first two
digits of the letters in parentheses are,
in most cases, the primary state of the
OPO. Some OPOs serve more than one
state, and some states have more than
one OPO. We are also including, in the
Appendix, a map for each proposed
measure that depicts geographic trends
in performance. In a few cases in the
tables below, we have abbreviated an
OPO name to improve simplicity of
presentation. For a complete OPO
listing and additional information, see
the following link: https://
optn.transplant.hrsa.gov/members/
member-directory/?memberType=
Organ%20Procurement%20
Organizations.25 These tables show the
performance required of each OPO to
reach the proposed performance
standard, including an allowance for
statistical ‘‘confidence’’ (one-tailed test),
for the OPOs that fell below the
standard. Confidence intervals are
25 Some of these OPOs have changed names in
recent years, so some other published lists may be
out of date. However, the codes shown in
parentheses in our tables have not changed.
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70641
calculated based on test statistics
derived from the assumed binomial and
Poisson distribution for the donation
rate and transplant rate, respectively.
Specifically, the Wilson score interval
with continuity correction (Newcombe
1998) is used to calculate the confidence
interval for the donation rate of each
OPO. The Wilson and Hilferty formula
(Wilson and Hilferty 1931, Breslow and
Day 1987, Kulkarni and Hemangi 2012)
is used to calculate the confidence
interval for the transplant rate of each
OPO.
We are committed to using all
available data to continue our analysis
of OPO performance, including, where
possible, historical trends in OPO
performance; a range of potential
outcomes, including a scenario where
high performers remain at steady state;
and year over year OPO performance
and distribution of scores and
improvements within the past two
certification cycles, using the proposed
metrics.
BILLING CODE 4120–01–P
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OPO Name (Primary State)
Lifesharing - A Donate Life
Organization (CASD)
DonorConnect (UTOP)
Midwest Transplant Network
(MWOB)
Versiti (WIDN)
Nevada Donor Network (NVL V)
Gift of Life Donor Program
(PADV)
Donor Network of Arizona
(AZOB)
Nebraska Organ Recovery
(NEOR)
The Living Legacy Foundation
ofMaryland(MDPC)
ConnectLife (NYWN)
LifeShare of Oklahoma (OKOP)
Washington Regional Transplant
Community (DCTC)
OurLegacy - FL (FLFH)
Southwest Transplant Alliance
(TXSB)
Mid-America Transplant
Services (MOMA)
Donor Alliance (CORS)
LifeGift (TXGC)
Sierra Donor Services (CAGS)
Lifeshare Carolinas (NCCM)
lotter on DSKBCFDHB2PROD with PROPOSALS2
Gift of Hope Organ & Tissue
Donor Network (ILIP)
Tennessee Donor Services
(TNDS)
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Estimated
hnprovement
Required
Total
Donors
Donation
Rate
Upper
Bound with
Confidence
Interval
2,638
149
5.65
6.45
0
0.00%
1,986
109
5.49
6.42
0
0.00%
2,048
107
5.22
6.12
0
0.00%
4,297
230
5.35
5.96
0
1,844
2,367
92
118
4.99
4.99
5.92
5.80
0
0
0.00%
0.00%
0.00%
9,771
509
5.21
5.60
0
0.00%
4,991
241
4.83
5.36
0
0.00%
1,519
66
4.34
5.33
0
0.00%
3,171
143
4.51
5.17
0
0.00%
1,239
3,954
50
177
4.04
4.48
5.10
5.06
0
0
0.00%
0.00%
3,158
3,541
138
153
4.37
4.32
5.03
4.93
0
0
0.00%
0.00%
8,727
373
4.27
4.65
0
0.00%
Potential
Donors
(Denominator)
Organ Procurement Organization
at U. of Wisconsin (WIUW)
Additional
Donors
Needed to
Reach
25%
Cutoff
5,266
217
4.12
4.61
0
0.00%
3,469
137
3.95
4.55
0
0.00%
8,579
356
4.15
4.52
0
0.00%
2,092
2,599
78
98
3.73
3.77
4.50
4.46
0
0
0.00%
0.00%
9,108
372
4.08
4.45
0
0.00%
7,189
283
3.94
4.34
0
0.00%
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Table 3. OPO Donor Rate for Calendar 2017 with Top 25 Percent Cutoff(4.11 incl.
Confidence Interval) (OPOs below Threshold in Bold and Italics)
OPO Name (Primary State)
Potential
Donors
(Denominator)
Estimated
Improvement
Required
Total
Donors
Donation
Rate
5,500
4,707
212
173
3.85
3.68
4.31
4.17
0
0
0.00%
0.00%
1,628
1,077
54
33
3.32
3.06
4.16
4.11
0
1
0.00%
0.00%
Center for Organ Recovery and
Education (P ATF)
LifeSource - MN (MNOP)
New Mexico Donor Services
(NMOP)
Legacv ofLife - Hawaii fHIOP)
LifeCenter Organ Donor
Network (OHO VJ
LifeCenter Northwest (WALC)
New .Tersey Sharing Network
(NJTO)
LifeBanc (OHLB)
LifeLink of Rorida (FLWC)
2,029
6,408
68
236
3.35
3.68
4.10
4.10
1
1
0.24%
0.24%
5,093
4,149
5,665
184
147
205
3.61
3.54
3.62
4.08
4.06
4.06
2
2
3
0.74%
1.23%
1.23%
Louisiana Organ Procurement
Agency (LAOP)
5,072
182
3.59
4.05
3
1.48%
4,931
3,587
4,598
8,699
12,725
175
122
156
298
442
3.55
3.40
3.39
3.43
3.47
4.02
3.95
3.87
3.77
3.75
5
6
11
29
44
2.24%
4.05%
6.20%
9.02%
9.60%
3,791
119
3.14
3.65
17
12.60%
2,072
8,736
61
289
2.94
3.31
3.65
3.64
9
39
12.60%
12.91%
5,079
8573
162
280
3.19
3.27
3.63
3.60
23
42
13.22%
14.17%
4,234
132
3.12
3.60
21
14.17%
8,712
284
3.26
3.59
43
14.48%
2,305
67
2.91
3.56
12
15.45%
Life Alliance Organ Recovery
Agencv (FIMP)
Lifeline of Ohio (OHLP)
Sharing Hooe SC (SCOP)
Donor Network West (CADN)
OneLegacy (CAOP)
Pacific Northwe.-.t Transplant
Rank(ORUO)
Life Connection of Ohio
(OHLC)
Gift ofLife Michigan (MJOP)
Texas Organ Sharing Alliance
(TXSA)
Lifel.ink of Geol"l!ia (GALT.)
LifeQuest Organ Recovery
Services (FLUF)
New England Organ Bank
(MAOB)
Mid-South Tran.-.plant
Foundation (TNMS)
lotter on DSKBCFDHB2PROD with PROPOSALS2
Additional
Donors
Upper
Needed to
Bound with
Reach
Confidence
25%
Interval
Cutoff
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OPO Name (Primary State)
Carolina Donor Services
(NCNC)
LiveOnNY (NYRTI
Indiana Donor Network (INOP)
Iowa Donor Network (JAOP)
Mississippi Organ Recovery
Agencv (MSOP)
LifeNet Health (VATR)
LifeLink of Puerto Rico (PRLL)
LifeChoice Donor Services
(CTOP)
Center for Donation and
Transplant (NYAP)
Kentucky Organ Donor
Affiliates (KYDA)
Potential
Donors
(Denominator)
Arkansas Regional Organ
Recovery Agency (AROR)
Legacy ofHope -Alabama
(ALOB)
Finger Lakes Donor Recovery
Network (NYFL)
Totals
Table 4 shows the current range of
organ transplantation performance,
using the new proposed standard of
measuring the total number of organs
transplanted from deceased donors
(including all transplanted organs from
each donor) as a percentage of the same
donor potential used for the donation
rate.26 According to the NCHS, there are
about 2.8 million deaths each year in
lotter on DSKBCFDHB2PROD with PROPOSALS2
26 These results would look similar if we used the
current estimates of ‘‘eligible’’ deaths but would be
an imperfect comparison since that is not a
standardized measure.
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Total
Donors
Donation
Rate
199
Additional
Donors
Upper
Needed to
Bound with
Reach
25%
Confidence
Interval
Cutoff
6,781
9,385
5,783
2,136
278
161
52
2.93
2.96
2.78
2.43
3.30
3.27
3.17
3.07
53
76
52
21
24.55%
25.69%
29.65%
33.88%
2,927
5,449
3,205
74
144
78
2.53
2.64
2.43
3.07
3.03
2.94
29
56
35
33.88%
35.64%
39.80%
2,561
60
2.34
2.91
29
41.24%
2,451
55
2.24
2.81
30
46.26%
5,389
107
1.99
2.33
90
76.39%
2,604
46
1.77
2.27
44
81.06%
8,025
159
1.98
2.26
141
81.86%
2,486
272,105
41
9,731
1.65
2.15
45
1,015
91.16%
the U.S., but the potential donor pool is
far lower because it only includes those
who die in hospitals, who are age 75 or
less, and who have no contraindications
to donation (such as metastatic cancers).
Table 4 shows that organ
transplantation rates range from 19.44 at
the highest levels to 4.47 (using data
from calendar year 2017), a range of
about four to one from highest to lowest.
The top one-fourth of OPOs achieve
rates above 12 donors/100 inpatient
deaths, more than double the rates of
many lower performing OPOs. The topperforming OPOs are geographically and
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Required
Frm 00018
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demographically diverse, with potential
donor pools ranging from about 2,000
deaths a year to almost 10,000 a year.
We recognize that some OPOs have
fewer transplant programs within their
service areas than others, but allocation
policies allow OPOs to place organs
outside their DSA. The organ match run,
which lists all potential recipients for a
donated organ, includes eligible patients
on the waiting list for that particular
organ and organs are often offered to
hospitals outside of the DSAs in which
the organs were procured.
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Table 4. OPO Transplant (TX) Rates for Calendar 2017 with Top 25 Percent Cutoff
(13.73 incl. Confidence Interval) (OPOs below Threshold in Bold and Italic~)
OPO Name (Primary State)
Potential
Donors
(Denominator)
Lifesharing - A Donate Life
Organization (CASD)
1,986
386
19.44
21.14
0
0.00%
2,638
499
18.92
20.37
0
0.00%
4,297
2,048
1,844
821
353
314
19.11
17.24
17.03
20.24
18.82
18.70
0
0
0
0.00%
4,991
847
16.97
17.96
0
0.00%
1,519
245
16.13
17.93
0
0.00%
3,171
500
15.77
16.98
0
2,367
367
15.50
16.90
0
0.00%
0.00%
9,771
1,575
16.12
16.80
0
0.00%
3,158
3,541
462
506
14.63
14.29
15.80
15.38
0
0
0.00%
0.00%
8,727
8,579
2,599
1,275
1,244
349
14.61
14.50
13.43
15.30
15.20
14.67
0
0
0
0.00%
0.00%
0.00%
5,266
1,239
3,954
719
156
528
13.65
12.59
13.35
14.52
14.38
14.35
0
0
0
0.00%
0.00%
0.00%
9,108
1,243
13.65
14.30
0
0.00%
The Living Legacy Foundation
ofMaryland(MDPC)
Nevada Donor Network (NVLV)
Gift of Life Donor Program
(PADV)
Washington Regional Transplant
Community (DCTC)
OurLegacy - FL (FLFH)
Southwest Transplant Alliance
(TXSB)
LifeGift (TXGC)
Lifeshare Carolinas (NCCM)
Mid-America Transplant
Services (MOMA)
ConnectLife (NYWN)
LifeShare of Oklahoma (OKOP)
Gift of Hope Organ & Tissue
Donor Network (ILIP)
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TX
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TX
Rate
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Improvement
Required
0.00%
0.00%
EP23DE19.025
Organ Procurement Organization
at U. of Wisconsin (WIUW)
Midwest Transplant Network
(MWOB)
DonorConnect (UTOP)
Versiti (WIDN)
Donor Network of Arizona
(AZOB)
Nebraska Organ Recovery
(NEOR)
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Upper
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Interval
Cutoff
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
OPO Name (Primary State)
Potential
Donors
(Denominator)
Louisiana Organ Procurement
Agency (LAOP)
Tennessee Donor Services
(TNDS)
Sierra Donor Services (CAGS)
LifeSource - MN fMNOP)
SharinK Hope SC (SCOP)
Donor Alliance (CORS)
Donor Network West (CADN)
LifeBanc (OHLB)
Lifeline o_{Ohio (OHLP)
Center.for Organ Recovery and
Education (PATF)
Li{eCenter Northwest (WALC)
Texas Organ Sharing Alliance
(TXSA)
LifeLink of Florida (FL WC)
OneLeJ!acy (CAOP)
New Mexico Donor Services
(NMOP)
New Jersey Sharing Network
(NJTO)
LifeCenter Organ Donor
Network (OHOV)
Indiana Donor Network (INOP)
Life Alliance Organ Recovery
Agencv (FLMP)
New England Organ Bank
fMAOB)
Carolina Donor Services
(NCNC)
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LifeQuest Organ Recovery
Services (FLUF)
LifeLink of Geor,iia (GALL)
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Number
TX
TX
Rate
Upper
Bound with
Confidence
Interval
Additional
Organs
Needed to
Reach
25%
Cutoff
Estimated
Improvement
Required
5,072
667
13.15
14.02
0
0.00%
7,189
2,092
4,707
4,598
3,469
8,699
4,149
3,587
944
260
589
564
410
1,058
479
410
13.13
12.43
12.51
12.27
11.82
12.16
11.54
11.43
13.86
13.77
13.40
13.15
12.83
12.80
12.45
12.40
0
0
16
26
31
80
52
46
0.00%
0.00%
2.46%
4.41%
7.01%
7.27%
10.28%
10.73%
5,500
6,408
637
743
11.58
11.59
12.37
12.32
73
88
10.99%
11.44%
5,079
5,665
12,725
581
650
1,468
11.44
11.47
11.54
12.25
12.24
12.04
73
82
210
12.08%
12.17%
14.04%
1,628
171
10.50
11.92
28
15.18%
5,093
565
11.09
11.89
91
15.48%
2,029
5,783
215
627
10.60
10.84
11.86
11.58
36
121
15.77%
18.57%
4,931
515
10.44
11.23
119
22.26%
8,712
920
10.56
11.15
219
23.14%
6,781
710
10.47
11.14
171
23.25%
4,234
8,573
430
883
10.16
10.30
11.00
10.89
112
238
24.82%
26.08%
Frm 00020
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E:\FR\FM\23DEP2.SGM
23DEP2
EP23DE19.026
70646
OPO Name (Primary State)
Potential
Donors
(Denominator)
Pacific Northwest Transplant
Bank (ORUO)
Gift ofLife Michigan (MIOP)
Mid-South Transplant
Foundation(TNMS)
LiveOnNY (NYRn
Legac,y ofLife - Hawaii (HIOP)
Life Connection of Ohio
(OHLCJ
LifeNet Health (VATB)
Mississippi Organ Recovery
A2encv fMSOPJ
Iowa Donor Network (IAOP)
LifeChoice Donor Services
(CTOP)
Kentucky Organ Donor
Affiliates (KYDAJ
LifeLink of Puerto Rico
(PRLLJ
Center for Donation and
Transplant (NYAP)
Legacy ofHope -Alabama
(ALOB)
Arkansas Regional Organ
Recovery Agencv (AROR)
Finger Lakes Donor Recovery
Network (NYFL)
Totals
lotter on DSKBCFDHB2PROD with PROPOSALS2
BILLING CODE 4120–01–C
Both proposed outcome measures
address multiple goals not met by the
current requirements: (1) They can be
uniformly applied across all OPOs; (2)
they capture not only success in
obtaining donors but also success in
placing as many organs as possible; (3)
they capture the entire pool of possible
donors (not the pool as determined
separately by each OPO); (4) they adjust
for the geographic differences in the
number and causes of death; and (5)
they meet central necessities for a
workable performance standard that
exhibits uniformity, timeliness, and
stability year-to-year. Of particular
importance, these measures would
replace the non-standardized criteria for
VerDate Sep<11>2014
19:46 Dec 20, 2019
Jkt 250001
Number
TX
TX
Rate
Additional
Organs
Upper
Needed to
Bound with
Reach
Confidence
25%
Interval
Cutoff
70647
Estimated
Improvement
Required
3,791
8,736
376
888
9.92
10.16
10.80
10.74
107
255
27.13%
27.84%
2,305
9,385
1,077
214
907
90
9.28
9.66
8.36
10.40
10.21
9.96
73
323
38
32.02%
34.48%
37.85%
2,072
5,449
180
493
8.69
9.05
9.83
9.75
77
210
39.67%
40.82%
2,927
2,136
255
165
8.71
7. 72
9.66
8.79
114
100
42.13%
56.20%
2,561
190
7.42
8.37
131
64.04%
5,389
395
7.33
7.97
300
72.27%
3,205
217
6.77
7.58
189
81.13%
2,451
162
6.61
7.53
145
82.34%
8025
496
6.18
6.66
551
106.16%
2,604
149
5.72
6.56
178
109.30%
2,486
272,105
111
32,173
4.47
5.23
200
4,903
162.52%
‘‘eligible’’ donors as determined by each
OPO. The existing denominator
standard allows OPOs to exclude from
the calculated potential donor pool
those cases where the next-of-kin did
not authorize donation, a crucial task
we believe all OPOs should be effective
and continually improving at. For an
extensive discussion of these and
related issues, see ‘‘Changing Metrics of
Organ Procurement Organization
Performance in Order to Increase Organ
Donation Rates in the United States.’’ 27
The proposed measures do not control
for every variable that can affect OPO
performance for reasons beyond its
control. For example, states without
motorcycle helmet laws have higher
rates of accidents that create potential
donors. Some DSAs have greater
transplant hospital competition than
others, and more competition for
transplantable organs is associated with
greater use of organs that might
otherwise be discarded.28 Regardless, it
is our belief that the untapped donor
and organ potential is sufficiently large
in every DSA so that every OPO has
27 Goldberg D, et al, ‘‘Changing Metrics of Organ
Procurement Organization Performance in Order to
Increase Organ Donation Rates in the United
States,’’ AmJTransplant 2017; 17:3183–3192.
28 Adler, et al ‘‘Is Donor Service Area Market
Competition Associated with Organ Procurement
Organization Performance?’’ Transplantation 2016;
100; 1349–1355.
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23DEP2
EP23DE19.027
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
70648
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
lotter on DSKBCFDHB2PROD with PROPOSALS2
both potential donors, organs, and
transplant recipients to exceed its
current performance level.
Tables 3 and 4 also show a very
important quantitative result: At
present, there are about 10,000 deceased
donors a year, which is only about three
percent of the 272,000 potential donors
in 2017. Importantly, the proposed
criteria for potential donors already
exclude many deaths, and focus on
decedents with greater potential to
provide transplantable organs. Hence,
all OPOs will have a pool of potential
donors many times higher than the
number of donors and organs needed to
meet the proposed performance
standards.
If the number of donors at the lowerperforming OPOs were to reach what is
now the 75th percentile of achievement,
the number of donors would increase by
over one thousand by the end of the
four-year performance period. Both
through this increase, and greater
success in maximizing the number of
organs actually transplanted from each
donor, achieving the 75th percentile for
the transplant rate would increase the
number of such transplants from about
32,000 by as many as 6,000 by 2024, and
by as many as 10,000 by 2026, for a total
of about 42,000 in that year (see Table
12). Achieving higher success rates
would be unlikely to occur in just the
lower performers, and these estimates
assume improvements at all current
levels of performance as better
techniques and methods are identified
and widely adopted. For example, there
have been major recent improvements
in perfusion techniques used to preserve
kidneys and extend the time period
allowed between donation and
transplantation. This technology
rewards focusing efforts on extending
the placement of organs beyond local
areas for appropriate transplant
candidates on waiting lists. These
techniques are available to all OPOs, but
have not been adopted by all OPOs.
There may be future improvements as
well, but our estimates do not assume
any major breakthroughs will be
routinely available in the near term. In
September 2019, the National Institutes
of Health reported that a new method of
VerDate Sep<11>2014
19:46 Dec 20, 2019
Jkt 250001
in estimating benefits and costs while
allowing for either higher or lower
results. In Tables 5 and 6, we show the
results of all OPOs achieving the
minimum performance requirements, or
improving by 20 percent, whichever is
greater, by 2026. These projections are
estimates and are subject to change
based on future events and decisions,
but fall within the improvement ranges
seen in recent years in some OPOs, as
well as the consistently high
performance levels in many OPOs.
Additionally, for these projections we
assume CMS monitors OPO
performance as frequently as every 12
months, using nationally consistent and
timely data in both the numerator and
denominator of performance measures,
and intervening when the performance
lags. Finally, these projections reflect
the direct incentives to both OPOs and
transplant hospitals to improve
donation and transplantation rates from
older donors to older patients, which
will ultimately facilitate the utilization
of the large number of discarded, but
transplantable, organs. In assessing this
scenario, about 85 percent of all
potential donors would still be potential
rather than actual donors. These
potential donors are concentrated
among those in the age range of 55 to
74, but the vast majority of them could
provide organs of transplant quality if
donated. In this regard, it is important
to note that according to OPTN and
NCHS mortality data, donation rates are
highest among the young and far lower
among potential donors in their 50s,
60s, and early 70s.30 With advances in
successful utilization of organs from
older donors, we believe the upward
potential for both donation and
transplantation is higher than shown in
tables 5 and 6.
Table 5 shows all OPOs achieving the
minimum standard, or a 20 percent
increase, whichever is greater. With
these parameters, the number of annual
donors would rise from about 10,000 in
2017 to over 12,000 by 2026.
preserving livers for transplantation
would potentially increase the viability
of livers from nine to 27 hours, but this
is still in a development stage.29 Our
estimates in Tables 5 and 6 assume that
all OPOs would achieve either the 75th
percentile targets, or increase
performance on both measures by 20
percent, whichever is greater.
Nothing guarantees that all OPOs will
manage to meet the standards if
finalized as proposed. But, the
administrative steps we propose to take,
the periodic assessments, and the
incentives for an OPO to maintain
certification at the end of the four-year
evaluation period will provide both
means and incentives for all OPOs to
meet or exceed our proposed standards.
Furthermore, there is no need to wait
until the end of the four-year period to
take action regarding any OPOs that are
underperforming. With continuous
assessment and public disclosure of the
information, OPOs who cannot achieve
the outcome measures may decide to
voluntarily de-certify and allow a highperforming OPO to take over the DSA,
even before the end of the recertification cycle or form a partnership
with a high-performing OPO and allow
that OPO to take over the management
of the DSA. Our low-end cost and
performance calculations assume that
this could be avoided through adoption
of proven techniques and improved
leadership and management by lowerperforming OPOs, because careful
planning and implementation of decertification and OPO replacement
actions could ease such transitions. The
new proposed outcome measures and
performance expectations will give each
OPO both the opportunity and market
incentives to assess its performance and
motivate the widespread adoption of
best practices.
While we cannot predict future
achievement levels, we have developed
a hypothetical scenario that we believe
is likely to nearly achieve HHS’ 2030
target in 2026 (with 4 years remaining
to attain that goal) and that we can use
BILLING CODE 4120–01–P
29 https://www.nih.gov/news-events/newsreleases/scientists-triple-storage-time-humandonor-livers.
30 Organ donors <50 make up approximately 67
percent of donors, but make up less than 10 percent
of deaths.
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23DEP2
70649
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
OPO Name (Primarv State)
Organ Procurement
Organization at U. of
Wisconsin (WIUW)
Lifesharing - A Donate Life
Organization (CASO)
DonorConnect (UTOP)
Midwest Transplant Network
(MWOB)
Versiti (WION)
Nevada Donor Network
(NVLV)
Gift of Life Donor Program
(PADV)
Donor Network of Arizona
(AZOB)
Nebraska Organ Recovery
(NEOR)
The Living Legacy
Foundation of Maryland
(MDPC)
ConnectLife (NYWN)
LifeShare of Oklahoma
(OKOP)
Washington Regional
Transplant Community
(DCTC)
OurLegacy - FL (FLFH)
Southwest Transplant Alliance
(TXSB)
Mid-America Transplant
Services (MOMA)
Donor Alliance (CORS)
LifeGift (TXGC)
Sierra Donor Services
(CAGS)
Lifeshare Carolinas (NCCM)
VerDate Sep<11>2014
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Jkt 250001
PO 00000
New
Donation
Rate
New Potential Donors
(Denominator)
New Total Donors
2,638
179
6.78
1,986
2,048
131
128
6.59
6.27
4,297
1,844
276
110
6.42
5.99
2,367
142
5.98
9,771
611
6.25
4,991
289
5.79
1,519
79
5.21
3,171
1,239
172
60
5.41
4.84
3,954
212
5.37
3,158
3,541
166
184
5.24
5.18
8,727
448
5.13
5,266
3,469
8,579
260
164
427
4.94
4.74
4.98
2,092
2,599
94
118
4.47
4.52
Frm 00023
Fmt 4701
Sfmt 4725
E:\FR\FM\23DEP2.SGM
23DEP2
EP23DE19.028
lotter on DSKBCFDHB2PROD with PROPOSALS2
Table 5. OPO Donor Rates Assuming All OPOs Attain Donor Rate of 4.11, or an increase
of 20 Percent, whichever is greater, by 2026
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9,108
446
4.90
7,189
340
4.72
5,500
4,707
254
208
4.63
4.41
1,628
67
4.11
1,077
44
4.11
2,029
83
4.11
6,408
283
4.42
5,093
4,149
5,665
221
176
246
4.34
4.25
4.34
5,072
218
4.31
4,931
3,587
4,598
8,699
12,725
210
147
189
358
530
4.26
4.11
4.11
4.11
4.17
3,791
156
4.11
Life Connection of Ohio (OHLC)
2,072
85
4.11
Gift ofLife Michigan (MIOP)
Texas Organ Sharing Alliance
(TXSA)
8,736
359
4.11
5,079
209
4.11
8,573
352
4.11
4,234
174
4.11
8,712
358
4.11
Gift of Hope Organ & Tissue
Donor Network (ILIP)
Tennessee Donor Services
(TNDS)
Center for Organ Recovery
and Education (PATF)
LifeSource - MN (MNOP)
New Mexico Donor Services
(NMOP)
Legacy ofLife - Hawaii
(HJOP)
LifeCenter Organ Donor
Network (OHOV)
LifeCenter Northwest
(WALC)
New Jersey Sharing Network
(NJTO)
LifeBanc (OHLB)
LifeLink of Florida (FLWC)
Louisiana Organ
Procurement AJ[ency (LA.OP)
Life Alliance Organ Recovery
AKen~v (FLMP)
Lifeline of Ohio (OHLP)
SharinK Hope SC (SCOP)
Donor Network West (CADN)
OneLel[acy (CAOP)
Pacific Northwest Transplant
Bank(ORUO)
LifeLink of Geort!ia (GALL)
LifeQuest Organ Recovery Services
(FLUF)
New England Organ Bank
(MAOB)
VerDate Sep<11>2014
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Jkt 250001
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E:\FR\FM\23DEP2.SGM
23DEP2
EP23DE19.029
New Total Donors
OPO Name (Primarv State)
lotter on DSKBCFDHB2PROD with PROPOSALS2
New
Donation
Rate
New Potential Donors
(Denominator)
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Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
OPO Name (Primarv State)
Mid-South Transplant Foundation
(TNMS)
2,305
95
4.11
Carolina Donor Services (NCNC)
6,781
279
4.11
LiveOnNY (NYRT)
9,385
386
4.11
Indiana Donor Network (INOP)
5,783
238
4.11
Iowa Donor Network (IAOP)
Mississippi Organ Recovery Agency
(MSOP)
2,136
88
4.11
2,927
120
4.11
LifeNetHealth (VATH)
5,449
224
4.11
LifeLink of Puerto Rico (PRLL)
3,205
132
4.11
LifeChoice Donor Services (CTOP)
Center for Donation and
Transplant (NYAP)
Kentucky Organ Donor Affdiates
(KYDA)
2,561
105
4.11
2,451
101
4.11
5,389
221
4.11
2,604
107
4.11
8,025
330
4.11
2,486
102
4.11
272,105
12,491
Arkansas Regional Organ Recovery
A,rency (AROR)
Le2acv of Hone -Alabama (ALOB)
Finger Lakes Donor Recovery
Network (NYFL)
Totals
Table 6 shows a similar magnitude of
change for rates of transplantation. It
shows an increase in the number of
transplants, and a performance of
achieving the minimum standard, or a
lotter on DSKBCFDHB2PROD with PROPOSALS2
New Total Donors
New
Donation
Rate
VerDate Sep<11>2014
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Jkt 250001
20 percent increase, whichever is
greater. With these parameters, the
number of annual transplants would
rise from about 32,000 in 2017 to almost
42,000 by 2026. (By contrast, Table 4
PO 00000
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shows that, in isolation, achievement of
the proposed minimum standard would
yield 4,903 additional transplants per
year, roughly half the 9,474 [=
41,647¥32,173] implied by Table 6.)
E:\FR\FM\23DEP2.SGM
23DEP2
EP23DE19.030
New Potential Donors
(Denominator)
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Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
Table 6. OPO Transplant Rates Assuming All OPOs Attain TX Rate of 13. 73, or an
increase of 20 Percent, whichever is greater, by 2026
lotter on DSKBCFDHB2PROD with PROPOSALS2
Lifesharing - A Donate Life
Organization (CASD)
Organ Procurement
Organization at U. of
Wisconsin (WIUW)
Midwest Transplant Network
(MWOB)
DonorConnect (UTOP)
Versiti (WIDN)
Donor Network of Arizona
(AZOB)
Nebraska Organ Recovery
(NEOR)
The Living Legacy
Foundation of Maryland
(MDPC)
Nevada Donor Network
(NVLV)
Gift of Life Donor Program
(PADV)
Washington Regional
Transplant Community
(DCTC)
OurLegacv - FL (FLFH)
Southwest Transplant
Alliance (TXSB)
LifeGift (TXGC)
Lifeshare Carolinas (NCCM)
Mid-America Transplant
Services (MOMA)
ConnectLife (NYWN)
LifeShare of Oklahoma
(OKOP)
Gift of Hope Organ & Tissue
Donor Network (ILIP)
VerDate Sep<11>2014
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Jkt 250001
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Frm 00026
Fmt 4701
New Number
Transplants
New
Transplant
Rate
1,986
463
23.32
2,638
599
22.70
4,297
2,048
1,844
985
424
377
22.93
20.68
20.43
4,991
1,016
20.36
1,519
294
19.35
3,171
600
18.92
2,367
440
18.61
9,771
1,890
19.34
3,158
3,541
554
607
17.56
17.15
8,727
8,579
2,599
1,530
1,493
419
17.53
17.40
16.11
5,266
1,239
863
187
16.38
15.11
3,954
634
16.02
9,108
1,492
16.38
Sfmt 4725
E:\FR\FM\23DEP2.SGM
23DEP2
EP23DE19.031
OPO Name (Primary State)
Potential Donors
(Denominator)
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
OPO Name (Primary State)
lotter on DSKBCFDHB2PROD with PROPOSALS2
Louisiana Organ
Procurement Agency (LAOP)
Tennessee Donor Services
(TNDS)
Sierra Donor Services
(CAGS)
LifeSource - MN (MNOP)
SharinK Hope SC (SCOP)
Donor Alliance (CORS)
Donor Network West
(CADN)
LifeBanc (OHLB)
Lifeline of Ohio (OHLP)
Center for Organ Recovery
and Education (PATF)
LifeCenter Northwest
(WALC)
Texas Organ Sharing
Alliance (TXSA)
LifeLink of Florida (FL WC)
OneLegacv (CAOP)
New Mexico Donor Services
(NMOP)
New Jersey Sharing Network
(NJTO)
LifeCenter Organ Donor
Network (OHOV)
Indiana Donor Network
(INOP)
Life Alliance Organ
Recoverv Agencv (FLMP)
New England Organ Bank
(MAOB)
Carolina Donor Services
(NCNC)
LifeQuest Organ Recovery
Services (FLUF)
LifeLink of Georgia (GALL)
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19:46 Dec 20, 2019
Jkt 250001
PO 00000
Frm 00027
Fmt 4701
New Number
Transplants
New
Transplant
Rate
5,072
800
15.78
7,189
1,133
15.76
2,092
4,707
4,598
3,469
312
707
677
492
14.91
15.02
14.72
14.18
8,699
4,149
3,587
1,270
575
492
14.59
13.85
13.73
5,500
764
13.90
6,408
892
13.91
5,079
5,665
12,725
697
780
1,762
13.73
13.77
13.84
1,628
224
13.73
5,093
699
13.73
2,029
279
13.73
5,783
794
13.73
4,931
677
13.73
8,712
1,196
13.73
6,781
931
13.73
4,234
8,573
581
1,177
13.73
13.73
Sfmt 4725
E:\FR\FM\23DEP2.SGM
23DEP2
EP23DE19.032
Potential Donors
(Denominator)
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OPO Name (Primary State)
Pacific Northwest
Transplant Bank (ORUO)
Gift of Life Michigan
(MJOP)
Mid-South Transplant
Foundation (TNMS)
LiveOnNY (NYRT)
Legacy of Life - Hawaii
(HJOP)
Life Connection of Ohio
(OHLC)
LifeNet Health (VATB)
Mississippi Organ Recovery
A_e-encv (MSOP)
Iowa Donor Network (IAOP)
LifeChoice Donor Services
(CTOP)
Kentucky Organ Donor
Affiliates (KYDA)
LifeLink of Puerto Rico
(PRLL)
Center for Donation and
Transplant (NYAP)
Legacy of Hope - Alabama
(ALOB)
lotter on DSKBCFDHB2PROD with PROPOSALS2
New Number
Transplants
New
Transplant
Rate
3,791
521
13.73
8,736
1,199
13.73
2,305
9,385
316
1,289
13.73
13.73
1,077
148
13.73
2,072
5,449
284
748
13.73
13.73
2,927
2,136
402
293
13.73
13.73
2,561
352
13.73
5,389
740
13.73
3,205
440
13.73
2,451
337
13.73
8,025
1,102
13.73
Arkansas Regional Organ
Recovery AJ[enc_y (AROR)
2,604
358
13.73
Finger Lakes Donor
Recoverv Network (NYFL)
Totals
2,486
272,105
341
41,647
13.73
BILLING CODE 4120–01–C
While there is no certainty that these
or higher levels of performance will be
realized, there is additional evidence
beyond the known performance levels
of the higher-achieving OPOs. A recent
study compared French and American
organ utilization in the period from
2004 to 2014.31 This study showed that
the discard rate for kidneys from
deceased donors was about nine percent
31 Olivier Aubert et al, ‘‘Disparities in Acceptance
of Deceased Donor Kidneys Between the United
States and France and Estimated Effects of
Increased U.S. Acceptance,’’ JAMA Intern Med.
Doi:10:1001/jamainternmed.2019.2322.
VerDate Sep<11>2014
Potential Donors
(Denominator)
19:46 Dec 20, 2019
Jkt 250001
in France and 18 percent in the U.S. The
lower discard rate reflected a far greater
use in France of kidneys from older
donors that had inferior ‘‘kidney donor
risk index’’ (KDRI) scores. The mean age
of donor kidneys in France was 51 years
and in the U.S., 37 years. Despite the
higher use of seemingly less desirable
organs, the study estimates that had the
U.S. used French practices, there would
have been about 132,000 additional
years of graft (and patient) survival in
the U.S. While most European countries
use mandatory nation-wide ‘‘opt-out’’
rather than ‘‘opt-in’’ policies and hence
more strongly encourage organ donation
PO 00000
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Fmt 4701
Sfmt 4702
than in the U.S. (where no states use
‘‘opt-out’’), a recent study shows that
this policy does not explain European
success rates and that many American
states have organ donation rates higher
than many European countries.32 One
important policy difference that does
seem to matter is that in France, as in
most other European countries, organs
from older donors are systematically
matched for use by older patients,
32 Alexandra Glazier and Thomas Mone, ‘‘Success
in Opt-In Organ Donation Policy in the United
States,’’ August 8, 2019, doi:10.1001/
JAMA.2019.9187.
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without penalizing transplant programs
for the lower success rates that
inevitably result.33 These results
strongly suggest that with the regulatory
penalties removed on transplant centers
that do not achieve the highest possible
one-year graft and patient survival
outcomes (as discussed in the proposed
rule, ‘‘Medicare and Medicaid Programs;
Regulatory Provisions To Promote
Program Efficiency, Transparency, and
Burden Reduction’’ 83 FR 47686) and
with the greater accountability for OPO
performance proposed in this rule,
performance results such as those
achieved in France could be achievable
in the U.S.
D. Anticipated Costs and Benefits
There are intrinsic connections
between the costs and benefits
examined in this section. Consider, for
instance, the relatively low costs for
OPOs and other entities in the health
care industry set forth in the
‘‘Implementation and Continuing Costs’’
subsection; such low magnitudes are
plausible primarily if OPO
decertification is very rare. Without a
credible threat of decertification, OPO
behavior change may be minimal, in
which case low costs would be
accompanied by low longevity benefits
and medical expenditure impacts
(significantly lower than the estimates
appearing below in Tables 11R and
12R).
An opposite case is one in which
decertification is common, thus
motivating OPO behavior change and
making non-negligible benefits
plausible. OPOs undergoing
management change would experience
transition costs that are substantial
(although difficult to quantify). Broader
societal transition costs could include
reduced organ recovery while the
decertification process unfolds, even if
improved practices increase transplant
activity in the medium- to long-term.
1. Effects on Medical Costs. In the
estimates that follow, we rely primarily
on recent estimates by staff of the
actuarial and consulting firm Milliman.
Their study, ‘‘2017 U.S. Organ and
Tissue Transplant Cost Estimates and
Discussion’’ compares charges before,
during, and after transplantation for all
major and minor categories of
transplant.34 The advantage of these
estimates for our purposes is that they
cover the pre-, intra-, and posttransplant costs on all organs using a
consistent cost-estimating methodology.
Unfortunately, accurate medical cost
estimates are not publicly available from
health insurance firms, since the
network discounts received by private
firms are generally treated as trade
secrets, and Medicare’s payments are
typically not based directly on costs
(with some exceptions, including
payments to OPOs). Hence, Milliman
uses ‘‘charges’’ for its estimates. As with
likely excess of charges over costs,
there’s a netting off of nontransplantation costs—that is, costs
associated with organ failure that are
not affected by transplantation itself.
For estimating purposes, we assume that
these divergences between costs and
charges largely cancel each other out,
but that the net effect is that actual costs
are about 20 percent less than the
Milliman charge estimates.
In analyzing the medical costs of the
proposed rule, we first estimate the
costs per transplant of the three most
common organ transplants: Kidneys,
livers, and hearts. Between them, they
account for about 90 percent of all
transplants. Kidneys alone are over 60
percent of all organs transplanted. Table
7 shows the data for hearts:
TABLE 7—FIRST YEAR COST PER HEART TRANSPLANT ($)
Likely
excess of
charges over
costs
Milliman
charge
estimate
Heart
Assumed
non-TX costs
Immunosuppressive
drugs
(six months)
Net
transplant
cost
30 days pre-transplant .........................................................
Procurement .........................................................................
Hospital Transplant Admission ............................................
Physician During Admission ................................................
180 Days Medical Post Discharge ......................................
180 Days Drugs Post Discharge .........................................
43,000
102,000
887,000
92,000
223,000
34,000
9,000
0
177,000
18,000
45,000
7,000
20,000
0
0
0
60,000
10,000
0
0
0
0
0
15,000
14,000
102,000
710,000
74,000
118,000
32,000
Total ..............................................................................
1,381,000
256,000
90,000
15,000
1,050,000
As shown in Table 7, the one-time
cost of a heart transplant is just over one
million dollars after adjusting charges to
costs and reducing the estimates to
account for medical and drug costs, both
pre- and post-discharge, that are
unlikely to be transplant-related.
TABLE 8—FIRST YEAR COST PER LIVER TRANSPLANT ($)
lotter on DSKBCFDHB2PROD with PROPOSALS2
Likely
excess of
charges over
costs
Milliman
charge
estimate
Liver
Assumed
non-TX costs
Immunosuppressive
drugs
(six months)
Net
transplant
cost
30 days pre-transplant .........................................................
Procurement .........................................................................
Hospital Transplant Admission ............................................
Physician During Admission ................................................
180 Days Medical Post Discharge ......................................
180 Days Drugs Post Discharge .........................................
41,000
94,000
463,000
56,000
127,000
31,000
8,000
0
93,000
11,000
25,000
6,000
10,000
0
0
0
60,000
10,000
0
0
0
0
0
15,000
23,000
94,000
370,000
45,000
42,000
30,000
Total ..............................................................................
812,000
143,000
80,000
15,000
604,000
33 See
Olivier Aubert, et al.
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34 T. Scott Bentley and Steven J. Phillips, 2017,
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Table 8 shows the estimated average
cost for a liver transplant, estimated on
the same basis. Table 9 estimates kidney
transplant costs, with an additional
adjustment. In the case of a kidney
transplant, there is an off-setting saving
for the elimination of ESRD kidney
dialysis costs. This is a substantial
saving and in the first year alone, saves
about one-third of the estimated
transplant cost.
TABLE 9—FIRST YEAR COST PER KIDNEY TRANSPLANT ($)
Kidney
Milliman
charge
estimate
30 days pre-transplant
Procurement .................
Hospital Transplant Admission .....................
Physician During Admission .....................
180 Days Medical Post
Discharge .................
180 Days Drugs Post
Discharge .................
Total ......................
Likely
excess of
charges over
costs
Assumed
non-TX costs
Immunosuppressive
drugs
(six months)
Net
transplant
cost
subtotal
Annual
dialysis
costs
avoided
Net first
year cost
30,000
97,000
(6,000)
0
(10,000)
0
0
0
14,000
97,000
0
0
14,000
97,000
159,000
(32,000)
0
0
127,000
0
127,000
25,000
(5,000)
0
0
20,000
0
20,000
75,000
(15,000)
(60,000)
0
0
* (90,000)
(90,000)
29,000
(6,000)
(10,000)
15,000
28,000
0
28,000
415,000
(64,000)
(80,000)
15,000
286,000
(90,000)
196,000
* Estimated annual dialysis costs.
Using these results, it is possible to
estimate the extended effects of added
and reduced costs over time. In Table 10
we provide a 5-year projection, giving
both results for a patient who survives
all 5 years with the transplanted organ,
and the same estimate adjusted to
assume only an 80 to 90 percent patient
and organ survival rate for the full 5
years (the higher rate is for kidneys).
These estimates do not account for all
the varied circumstances that can arise,
such as patients whose organs fail and
who are then re-transplanted. They
include the costs of immunosuppressive
drugs. In the case of kidney transplants,
the estimates assume a savings of
$90,000 for ending dialysis, offset by a
$30,000 cost for the immunosuppressive
drugs. The weighted results take into
account that kidneys account for about
65 percent of transplants for these three
organs. As shown in the table, kidney
transplants actually save money for the
patients who survive the full 5-year
period.
TABLE 10—FIVE YEAR COSTS PER WEIGHTED AVERAGE TRANSPLANT ($)
Heart
Liver
Kidney
All three
organs
weighted
Annual Percent of Total TX .............................................................................
First Year .........................................................................................................
Second Year ....................................................................................................
Third Year ........................................................................................................
Fourth Year ......................................................................................................
Fifth Year .........................................................................................................
11%
1,050,000
20,000
20,000
20,000
20,000
24%
604,000
20,000
20,000
20,000
20,000
65%
196,000
(60,000)
(60,000)
(60,000)
(60,000)
100%
387,860
(32,000)
(32,000)
(32,000)
(32,000)
Total ..........................................................................................................
1,130,000
684,000
(44,000)
259,860
80 to 90% Survival Total * ........................................................................
1,122,000
676,000
(20,000)
272,660
lotter on DSKBCFDHB2PROD with PROPOSALS2
* Rate is higher for kidneys than for other organs. All deaths are assumed to occur prior to Year 2 (that is, before any dialysis-related savings
can accrue).
An annually growing performance
increase to about 8,000 additional
transplants in the last year of the next
four-year OPO performance period
would be essential in order to have
enough growth in the second half of the
decade to meet the HHS’ 2030 goal of
doubling the number of kidneys
available for transplants. As Table 11
shows, that will require multi-billion
dollar increases over current transplant
spending levels by the middle of the
next decade (and far more by 2030). As
we show in our benefit estimates, these
levels are exceeded by the life-saving
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and life-extending benefits of these
additional transplants. As discussed
later in this analysis, most of the cost
increases we estimate in this proposed
rule are reimbursed by private payers,
not by Medicare.
HHS has set a quantitative goal of
doubling the number of kidneys
available for transplant by 2030. While
there are multiple pathways to achieve
this goal, such as increasing the number
of living donors, avoiding penalizing
transplant programs for using kidneys
with lower likelihood to transplantation
success, and improving techniques for
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maintaining organs during the time
before transplantation to reduce
discards of organs shared outside the
DSA, the main approach for achieving
this ambitious goal is to increase the
number of deceased donors. This will
require continuing improvements over
time, and we have estimated the
approximate numbers that would have
to be achieved in the next four-year
OPO performance period to move about
half way towards an annual increase of
approximately 20,000 more kidneys
available and (assuming a reduction in
discard rates) approximately 16,000
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more kidney transplants by 2030, as
shown in Table 11.
In Tables 11 and 12 we show the
annual results as each cohort of new
transplants arrives over the OPO
performance period from 2021 to 2025.
These estimates include totals for all
organs since one deceased donor
normally provides multiple organs. The
alone in the sixth year. While total costs
grow over time with each new and
larger cohort of new transplants, the
savings from reduced kidney dialysis
costs from previous kidney transplants
grow over time, as do the benefits for
those patients whose lives were both
extended and improved by
transplantation.
10,000 increase shown for 2025
includes about 6,500 kidneys
transplanted. These figures assume a 5year patient and graft survival rate of 90
percent for kidney transplants. As can
be seen, the costs grow substantially
with each new cohort. These tables
include an extra column for 2026 that
shows the effects of these same cohorts
TABLE 11—COSTS OVER TIME AS ORGAN TRANSPLANTS HYPOTHETICALLY INCREASE
[$ millions]
Year
2021
2022
2023
2024
2025
2026
Increase Over Base Year in Number
Transplants.
Costs for 2021–2 Cohort .........................
Costs for 2022–3 Cohort .........................
Costs for 2023–4 Cohort .........................
Costs for 2024–5 Cohort .........................
Costs for 2025–6 Cohort .........................
1,000
3,000
6,000
8,000
10,000
Same Cohorts
$388
........................
........................
........................
........................
($29)
$1,164
........................
........................
........................
($29)
($86)
$2,327
........................
........................
($29)
($86)
($173)
$3,103
........................
($29)
($86)
($173)
($230)
$3,879
($29)
($86)
($173)
($230)
($288)
Total ..................................................
$388
$1,135
$2,212
$2,815
$3,360
($806)
We note that the expenditure data
include procurement costs, which
average almost $100,000 per organ
transplanted across all three organ
types. Accordingly, a cohort of 1,000
patients would involve total
procurement costs of about $100
million, and a cohort of 8,000 patients
about $800 million. These data do not
include all organ types, nor all cost
savings (notably end-of-life costs), but
are a reasonable approximation to the
magnitudes involved. The great bulk of
the procurement costs are paid to OPOs
and finance not only direct involvement
with donor families and donations, but
also management and direction of the
OPO.
Our estimates also do not include
costs of changes in treatment options for
both liver and heart patients, including
new drug treatments for hepatitis C, one
of the main causes of liver failure, and
heart assist devices that can serve as a
bridge while waiting for a heart
transplant.
Table 11R shows estimates using the
same per-transplant inputs but with
aggregates reflecting the 4,903 new
annual transplants shown in Table 4;
impacts are assumed to begin in 2023
because existing OPO contracts run
through 2022, thus preventing any
decertification before then. (We note
that a steady new transplant level may
be an oversimplification because the
proposed policy, setting a threshold at
the 75th percentile performance
amongst OPOs, could lead to a
continual ratcheting of the performance
necessary for compliance, and we
request comment that would allow for
such year-to-year changes to be reflected
in our analysis.) These estimates feed
into the upper bound estimates that
appear in the accounting statement
(Table 19), below.
TABLE 11R—COSTS OVER TIME AS ORGAN TRANSPLANTS INCREASE
[$ millions]
lotter on DSKBCFDHB2PROD with PROPOSALS2
Year
2021
2022
2023
2024
2025
2026
Increase Over Base Year in Number
Transplants.
Costs for 2023–4 Cohort .........................
Costs for 2024–5 Cohort .........................
Costs for 2025–6 Cohort .........................
0
0
4,903
4,903
4,903
........................
........................
........................
........................
........................
........................
$1,902
........................
........................
($142)
$1,902
........................
($142)
($142)
$1,902
($142)
($142)
($142)
Total ..................................................
$0
$0
$1,902
$1,760
$1,618
($427)
2. Effects on Patients. Every organ that
is used for transplantation has a very
high probability of substantially
extending the life of the recipient. There
is extensive literature on life expectancy
before and after transplant, quality of
life, and cost savings for kidney
patients. A recent literature synthesis
found essentially universal agreement
that kidney transplants were not only
substantially life extending, but also
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cost reducing.35 The authors performed
an extensive literature search and found
that from 1968 to 2007, seventeen
studies assessed the cost-effectiveness of
renal transplantation. The authors
concluded that ‘‘[r]enal transplantation
. . . is the most beneficial treatment
option for patients with end-stage renal
disease and is highly cost-effective
35 Huang, E, et al,’’The Cost-Effectiveness of Renal
Transplantation,’’ When Altruism Isn’t Enough,
edited by Sally Satel (AEI Press, 2008).
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Same Cohorts
compared to no therapy. In comparison
to dialysis, renal transplantation has
been found to reduce costs by nontrivial
amounts while improving health both in
terms of the number of years of life and
the quality of those years of life’’ (page
31). More recent studies have reached
similar conclusions, as have other
syntheses. For example, in the article,
‘‘Systematic Review: Kidney
Transplantation Compared with Dialysis
in Clinically Relevant Outcome,’’ the
authors reviewed 110 studies and
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concluded that the vast majority of
kidney transplant recipients showed
major improvement in life quality and
reductions in mortality compared to
those remaining on dialysis.36 The
Annual Data Report of the United States
Renal Data System utilizes national data
on ESRD, and reports that deaths per
1,000 patient years in 2016 were about
134 for dialysis patients and about 29
for transplant recipients (see 2018
report, volume 2, Figure 5.1; accessed at
https://www.usrds.org/adr.aspx and
https://www.usrds.org/2018/download/
v2_c05_Mortality_18_usrds.pdf). There
are similar data on other organs. For
example, in 1998, HHS published a final
rule with comment period that
established governance procedures for
the OPTN (63 FR 16296). In the RIA for
that rule, HHS estimated that ‘‘the
annual benefits of organ transplantation
include about eleven thousand lives
vastly improved by kidney
transplantation, and another eight
thousand lives both vastly improved
and prolonged by transplantation of
other major organs’’ (63 FR 16323).
Accordingly, the per-patient potential
benefits are substantial. For each new
kidney transplant, there would be an
average of 10 additional life years per
transplant patient compared to those on
dialysis.37 Using the more usual metric
of survival rates, the five-year survival
rate for kidney transplant patients is 86
percent (Milliman, page 13).
HHS ‘‘Guidelines for Regulatory
Impact Analysis’’ explain in some detail
the concept of QALYs.38 QALYS, when
multiplied by a monetary estimate such
as the Value of a Statistical Life Year
(VSLY), are estimates of the value that
people are willing to pay for lifeprolonging and life-improving health
care interventions of any kind (see
sections 3.2 and 3.3 of the HHS
Guidelines for a detailed explanation).
The QALY and VSLY amounts used in
any estimate of overall benefits,
including this one, is not meant to be
precise estimates, but instead are rough
statistical measures that allow an overall
estimate of benefits expressed in
dollars.39
Table 12 provides estimates of the
life-extending and life-improving value
of the proposed rule assuming that it
succeeds in improving OPO
performance in early years at the
magnitudes necessary to meet the 2030
HHS goal. For simplicity, we estimate
that transplants occur halfway through
the year.
TABLE 12—LIFE-EXTENDING AND IMPROVING BENEFITS OVER FIRST 5 YEARS AS TRANSPLANTS HYPOTHETICALLY
INCREASE
[$ millions]
Year
lotter on DSKBCFDHB2PROD with PROPOSALS2
Increase Over
Transplants.
2021–2 Cohort
2022–3 Cohort
2023–4 Cohort
2024–5 Cohort
2025–6 Cohort
2021
2022
2023
2024
2025
2026
Base Year in Number
1,000
3,000
6,000
8,000
10,000
Same Cohorts.
.........................................
.........................................
.........................................
.........................................
.........................................
$94
........................
........................
........................
........................
$187
$281
........................
........................
........................
$187
$562
$562
........................
........................
$187
$562
$1,123
$749
........................
$187
$562
$1,123
$1,497
$936
$187.
$562.
$1,123.
$1,497.
$1,872.
Total ..................................................
$94
$468
$1,310
$2620
$4,305
$5,241.
This table shows only the first 5 years
of increasing transplants, with an extra
year added with no new cohort to
illustrate how the benefits for each
group grow over time. Over a ten year
period, total life extending benefits from
about 18,000 additional kidney
transplants would be $23 billion
(without discounting) from the 2021 to
2025 cohorts of additional transplants
shown in Table 12 (28,000 organs times
65 percent of which are kidneys times
2⁄3 patient survival rate times $1 million
per surviving transplant recipient in life
extending benefits = $23 billion). A
similar calculation for all additional
transplant recipients reaches a total of
$35 billion over ten years, with even
more years of benefits to most of the
same recipients yet to come.40
We note that these estimates are
averages across patients who vary
widely in age, medical condition, and
life expectancy, as well as type of organ
failure. For example, the sickest patients
typically have very low life
expectancies without transplant, and
hence stand to gain the most years of
life from a transplant. Offsetting this,
these same patients, on average, have
slightly lower survival rates posttransplant. Organ and patient survival
issues are complex and dealt with by
detailed policies and procedures
developed and used by the transplant
community. These policies are reviewed
and revised frequently based on actual
experience and changing technology—
over time the success rate from
previously marginal organs, and in older
and sicker patients, have both increased
substantially. There are additional
complexities that we have not used in
these broad estimates, such as the
ability of kidney transplant recipients to
return to dialysis if a transplanted
kidney fails, leading to both additional
costs and additional benefits. For
presentation purposes, we have not
discounted future costs and benefits to
‘‘present value’’ in the preceding tables,
but handle discounting in our
annualized estimates shown in the
Accounting Table that follows. For
36 Tonelli M, et al, AmJTransplant 2011: 2093–
2109.
37 Wolfe RA et al, ‘‘Comparisons of Mortality in
All Patients on Dialysis, Patients on Dialysis
Awaiting Transplantation, and Recipients of a First
Cadaveric Transplant,’’ NEJM, 1999, 341:1725–30;
accessed at https://www.nejm.org/doi/full/10.1056/
NEJM199912023412303#t=article).
38 https://aspe.hhs.gov/pdf-report/guidelinesregulatory-impact-analysis.
39 Using such a measure to make coverage or
reimbursement determinations is prohibited by
Section 1182(e) of the Act. That prohibition does
not apply to the situation addressed in this
proposed rule, where the purpose is not to
determine medical coverage for individual patients,
but to measure overall success in raising the
number of persons who obtain life-saving
treatments.
40 This method of calculating the value of kidney
transplantation is similar to but substantially
simplified from the method used in P.J. Held et al,
‘‘A Cost-Benefit Analysis of Government
Compensation of Kidney Donors,’’ American
Journal of Transplantation, 2016, pages 877–885
(plus 65 pages of supplementary details explaining
all assumptions, data sources, and calculations).
Factors for Hearts and Livers come from Elisa F.
Long et al, ‘‘Comparative Survival and CostEffectiveness of Advance Therapies for End-Stage
Heart Failure,’’ https://
circheartfailiure.ahajournals.org, April 7, 2017; and
Fredrik Aberg et al, ‘‘Cost of a Quality-Adjusted Life
Year in Liver Transplantation: The Influence of the
Indication and the Model for End-Stage Liver
Disease Score,’’ Liver Transplantation 17:1333–
1343, 2011.
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purposes of this analysis, the proper
measure is the average gain across all
patients who would receive transplants
in the presence of the proposed rule but
not in its absence.
Table 12R shows estimates using the
same per-transplant inputs but with
aggregates reflecting the 4,903 new
annual transplants shown in Table 4;
increases are assumed to begin in 2023
because existing OPO contracts run
through 2022, thus preventing any
decertification before then. (We note
that a steady new transplant level may
be an oversimplification because the
proposed policy, setting a threshold at
the 75th percentile performance
amongst OPOs, could lead to a
continual ratcheting of the performance
necessary for compliance, and we
request comment that would allow for
such year-to-year changes to be reflected
in our analysis.) These estimates feed
into the upper bound estimates that
appear in the accounting statement
(Table 19), below.
TABLE 12R—LIFE-EXTENDING AND IMPROVING BENEFITS OVER FIRST 5 YEARS AS TRANSPLANTS INCREASE
[$ millions]
lotter on DSKBCFDHB2PROD with PROPOSALS2
Year
2021
2022
2023
2024
2025
2026
Increase Over Base Year in Number
Transplants.
Costs for 2023–4 Cohort .........................
Costs for 2024–5 Cohort .........................
Costs for 2025–6 Cohort .........................
0
0
4,903
4,903
4,903
Same Cohorts.
........................
........................
........................
........................
........................
........................
$461
........................
........................
$917
$461
........................
$917
$917
$461
$917.
$917.
$917.
Total ..................................................
$0
$0
$461
$1,378
$2,295
3. Implementation and Continuing
Costs. The requirements of the final
rule, if issued, would necessarily have
to be read, understood, and
implemented by all OPOs. This would
create one-time costs even though the
proposed requirements would not
directly create unreimbursed cost
burdens. In many cases, these costs
would be very low, and may be as
simple as learning where the OPO
stands in relationship to other facilities
in meeting the new performance
standards. In some cases, the OPO
would need to significantly adjust its
procedures and techniques. In still other
cases, time would have to be spent
deciding how to change existing policy
and procedures. These effects would be
felt primarily by the 58 OPOs, but
secondarily by the approximately 750
transplant programs in about 250
transplant hospitals. Many of these
hospitals would need to respond if
OPOs implement new technologies or
procedures to optimize their
performance. These costs, however, are
part of the acquisition costs associated
with organ procurement and would be
paid by Medicare and other health
insurers. Therefore, our estimates
assume that ongoing management
operations will continue at current
levels and focus on costs needed to
understand the new rules and plan
changes needed for compliance. We
welcome comments on our estimates as
to skills and occupations involved, and
time likely to be spent.
In total, there are about 800 affected
entities or programs. We assume that on
average there would be one hour of time
spent by a lawyer, two hours of time by
an administrator or health services
manager, and two hours of time by other
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staff (we assume registered nurses or
equivalent in wage costs) of each
affected provider to understand the
regulatory change(s) and make the
appropriate changes in procedures. We
further assume that for one-tenth of
these providers, two hours of physician
time would be needed to consider
changes in facility policy. Average
hourly costs for these professions, with
wage rates doubled to account for fringe
benefits and overhead costs, are $139 for
lawyers (occupation code 23–1011),
$109 for medical and health services
managers (occupation code 11–9111),
$89 for statisticians (occupation code
15–2041), $73 for registered nurses
(occupation code 29–1141), $56 for
healthcare social worker (21–1022), and
$203 for physicians (occupation code
29–1060). The medical and health
services managers would include such
occupations as transplant administrator,
organ procurement coordinator, and
director of nursing. The statistician
might instead be a computer analyst or
operations research analyst at a similar
wage. The underlying wage numbers are
from BLS statistics for 2018, at https://
www.bls.gov/oes/current/oes_
nat.htm#23-0000.
We assume that on average, an OPO
would involve one person in each
occupation and an average of eight
hours on an interdisciplinary team
tasked with learning the new rules,
understanding their implications for
that OPO, and initiating plans to
address performance levels. Total costs,
on average, would be $139 plus $109
plus $89 plus $73 plus $56 plus $203,
for a total of $669 per hour and $5,352
(8 × $669) for eight hours. For the 58
OPOs, the first-year cost would
therefore be about $310,000 (58 ×
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$2,751.
$5,352). A somewhat different mix of
occupations would lead to a similar
total cost. For transplant programs, we
assume that only half as many hours
would be needed, using a similar mix of
occupations, for a total of $669 per hour
and $2,676 ($669 × 4) for four hours. For
750 transplant programs the total first
year cost would therefore be about
$2,007,000 ($2,676 × 750).
There would also be continuing and
far larger costs over time as OPOs and
hospitals manage the substantial
increases in numbers of donors and
number of organs transplanted. These
procurement costs are included in the
cost estimates shown in Tables 7 to 9
and summarized in Tables 10 and 11,
and average approximately $100,000 per
organ. Each additional 1,000 organs
would cost about $100 million, with
insurance reimbursement and patient
cost-sharing covering essentially all of
those costs (see the next section of the
analysis). As procurement grows, there
would be two significant effects. First,
there are economies of scale as OPOs
and hospitals expand their donorrelated and transplant services. Second,
and more than offsetting such gains,
substantial improvements over time
would require additional efforts. Some
OPOs would also likely incur additional
costs as they consider and in some cases
prepare for such actions as mergers or
replacements. For both cost savings and
cost increases, effects are primarily from
staffing changes; we assume there are
relatively few fixed investments in plant
and equipment. And in both cases,
current reimbursement policies and
programs pay for all reasonable costs.
We welcome comments and if possible,
data on these and other workload, cost,
and revenue issues and estimates.
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We do not expect substantial costs
would be incurred by CMS. The data
collection required for enforcement of
the proposed standards already exists
and can readily be used to assess
performance. OPOs are already
reviewed and assessed on a continuing
basis. There would be additional costs
for technical assistance and possibly
more severe actions regarding any OPOs
with major compliance problems, or
increased appeals related activities, but
our expectation is that these would be
managed through any necessary
reallocations of staff time from lower
priority activities. The number of
affected facilities is also small compared
to the number of facilities that CMS
works with on a regular basis.
Regardless, these oversight activities are
unlikely to require more than three or
four additional person-years of effort,
with annual costs of one million dollars
or less.
The preceding analysis does not
reflect the potentially substantial
transition costs associated with the
disruptive process of decertification. We
request comment that would inform
estimates of this category of costs.
E. Effects on Medicare, Medicaid, and
Private Payers
The preceding cost estimates include
all procurement and transplantation
costs, regardless of payer. In practice,
however, most of the costs are covered
by insurance, and the remainder
primarily by patients. Typical insurance
shares, both public and private, range
from 100 percent (Medicaid) to 80–90
percent in private insurance and
Medicare, taking into account hospital,
physician, ESRD, and drug costs. While
overall cost sharing by category of
expense is broadly similar among
insurance sources and across organ
types, both the transplant cost and the
shares paid by public and private
insurance vary widely by organ type.
Specifically, for heart and liver
transplants, the vast majority of patients
are enrolled in private insurance or in
some cases in Medicaid. Relatively few
are Medicare patients. This is because
these patients are overwhelmingly
below age 65 and ineligible for Medicare
unless disabled. The age 65 and older
percentage is only 17 percent for hearts,
and 18 percent for livers. In sharp
contrast, the vast majority of kidney
transplants (about 80 percent) are
received by patients who have end-stage
renal disease and, as ESRD patients, are
nearly all entitled to Medicare
regardless of age (about half of ESRD
patients are also enrolled in Medicaid,
but Medicare is ‘‘primary’’ and pays
most costs). This ESRD/kidney
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transplant group also differs radically in
initial transplant cost (much lower than
for hearts and livers, as shown in Tables
7 through 10), and in cost over time. For
kidney transplant patients who live 4
years or more after the transplant year,
total medical costs over time are lower
than for dialysis, resulting in savings to
Medicare (see Table 10). For ESRD
patients who receive kidney transplants,
the public insurance programs would
save money over time.
We do not have a definitive estimate
of costs to each category of payer
because those shares will change
considerably over time as new cohorts
of patients are served, and will also
change depending on whether costs are
estimated for 1, 5, or 10 years or more.
For kidney patients, who account for
almost two-thirds of transplants,
Medicare cumulatively saves more
money than the transplant cost by the
fourth or fifth year after transplant. One
simple calculation method is to
consider the weighted average of costs
billed to Medicare for each 1,000
patients transplanted and surviving 5
years. Taking into account all the
preceding factors, the weighted average
total cost billed by providers to all
payers would be about $270 million
(See Table 10). The Medicare share of
that would be about $40 million, largely
reflecting the lower initial costs of
kidney transplants, the continuing
dialysis savings, and the relatively small
share of heart and liver transplants paid
by Medicare. In the first year for these
same 1,000 patients (the year of the
actual transplant) the Medicare cost
would be about $150 million of the $388
million total, reflecting the Medicare
coverage of the majority of transplants
as well as the lower average cost for
those kidney transplants. Across the
first 5 years after the final rule takes
effect (years in which much of the
dialysis savings would not yet be
realized), total costs shown in Table 11
over this period are about $10 billion
and the average billed to Medicare
would be about 25 percent of this, or
$2.5 billion. Of this, patients would pay
on average almost 20 percent, reducing
the Medicare costs to about $2 billion
over the five year period.
F. Effects on Small Entities, Effects on
Small Rural Hospitals, Unfunded
Mandates, and Federalism
1. Regulatory Flexibility Act. The
Regulatory Flexibility Act (RFA)
requires agencies to analyze options for
regulatory relief of small entities, if a
proposed rule would have a significant
impact on a substantial number of small
entities. For purposes of the RFA, we
estimate that almost all health care
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providers regulated by CMS are small
entities as that term is used in the RFA
(including small businesses, nonprofit
organizations, and small governmental
jurisdictions). The great majority of
hospitals and most other health care
providers and suppliers are small
entities, either by being nonprofit
organizations or by meeting the SBA
definition of a small business (having
revenues of less than $7.5 million to
$38.5 million in any 1 year, varying by
type of provider and highest for
hospitals). On average, the 58 OPOs
have annual revenues of about $50
million in a market with annual organ
acquisition revenues of about $3 billion
annually.41 While few of these would
meet SBA revenue size standards for
‘‘small,’’ all are by law non-profits.
Accordingly, almost all of the direct
effects on businesses that this proposed
rule would create will affect small
entities.
The RFA requires that an Initial
Regulatory Flexibility Analysis (IRFA)
be prepared if a proposed rule would
have a ‘‘significant economic impact’’
on a ‘‘substantial number’’ of such
entities. The HHS standard for
‘‘significant economic impact’’ is 3
percent or more of annual revenues.
Although the HHS position is that this
only applies to negative impacts
because the RFA requires agencies to
‘‘minimize’’ economic impact, HHS
practice in cases involving significant
positive effects is to perform the
analysis, regardless of the statutory
issue. In the case of this rule, we expect
some OPOs to prosper as they reform
their practices to meet the standards
under the proposed rule, but some may
lose their certification and be replaced
by more effective OPOs. The HHS
standard for ‘‘substantial number’’ is 5
percent or more of those that will be
significantly impacted, but never fewer
than 20. There is a possibility that as
many as 20 OPOs would lose
certification and hence we are unable to
certify that an Initial Regulatory
Flexibility Analysis is not required
under the RFA. Accordingly, we are
preparing an IRFA.
The question arises as to whether
transplant programs are affected
entities. We believe they are not. They
are all medical units within hospitals.
Only the hospital itself can be a small
entity, and many are, as a consequence
of their non-profit status. However,
nothing in this proposed rule directly
41 Brigitte Sullivan, Executive Director, NYU
Langone Transplant Institute, ‘‘Maximizing
Medicare Cost Report Reimbursement,’’ 2015,
online at https://organdonationalliance.org/wpcontent/uploads/2015/08/ATC_BSullivan_
CostReport_062016_S5N0001.pdf.
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regulates either hospitals or their
transplant programs. Moreover, nothing
in this proposed rule would have any
adverse effects on those programs. They
would, instead, likely gain revenues
from increases in patients transplanted.
The pattern of such increases is
impossible to predict since organs are
increasingly shared across OPO service
area boundaries and, in many cases,
across hundreds or thousands of miles.
Regardless, in the aggregate, hospital
revenues nationwide exceed one trillion
dollars a year; the estimated costs of this
proposed rule over the first 5 years are
about $10 billion, averaging $2 billion a
year, of which only half falls on
transplant programs. This would be a
fraction of one percent of hospital costs
or revenues in the hospitals that host
transplant programs, which are
generally larger hospitals. Since organ
acquisition costs are reimbursed by
patient health insurance, net costs to
hospitals with transplant programs are
approximately zero and may actually be
negative.42 Indeed, if any hospital
determined that its transplant program
was no longer a profit center, it could
simply cease providing that service.
Hence, we conclude that there would be
no ‘‘significant economic effect’’ on a
‘‘substantial number’’ of hospitals, and
that increases in transplant volume will
be neutral or positive (however, see the
further discussion of payment issues in
the Alternatives section).
The potential economic effects on
OPOs depend on their ability to meet
the thresholds established at the
beginning of the four-year performance
period. OPOs who are at or above this
threshold by the end of this period
should face relatively small effects (a
likely increase in organ donors and
organs transplanted that we estimate to
be likely to be near 20 percent, with
revenues from Medicare that reimburse
their incurred reasonable costs) and
other health insurers. Those currently
below the threshold that can achieve the
threshold rate over the four-year period
will benefit from the increased revenue
associated with procuring more organs.
For OPOs that cannot meet the new
performance standards, the issue would
be making the necessary changes to
avert a loss of certification. Our
methodology was designed to allow all
OPOs the opportunity to achieve the
threshold rates; however, based on
Tables 3 and 4, we believe that there are
a range of potential outcomes, assuming
42 Patients are not ordinarily accepted on
transplant waiting lists if they do not have the
insurance or other means to ensure that they can
pay not only the hospital and surgical fees, but also
for the immunosuppressive drugs that are needed
for post-transplant survival.
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the high performers remain at steady
state. These include:
• Eight OPOs who would be subject
to de-certification because they would
need to increase their donation and/or
transplantation rates by more than 50
percent to meet the threshold rates.
• Eighteen OPOs who would be
subject to de-certification because they
would need to increase their donation
and/or transplantation rates by more
than 25 percent to meet the threshold
rates.
• Thirty-three OPOs who would be
subject to de-certification because they
would need to increase their donation
and/or transplantation rates by more
than 10 percent to meet the threshold
rates.
In most cases of potential
decertification, we would reasonably
expect another OPO to take over that
service area, retaining the original staff,
but changing the leadership and many
of the organ procurement practices.
Conversely, it is also possible that an
OPO taking over a new service area
would need to increase its staff or incur
costs related to retraining, or
implementation of best practices
unfamiliar to the de-certified OPO’s
staff. We solicit comment on the costs
associated with an OPO entering a new
DSA after a decertification, including
retraining, leadership, relationship
building, and implementation of other
best practices.
Tables 3 and 4 present a list of all
affected OPOs and of the gap between
their current performance and the
proposed standards. These tables use as
a base year 2017 data but for most
OPOs, the potential donor data from the
state death certificates are not likely to
change substantially from updates
between the proposed and final rule and
between the final rule and first
performance year. These tables show for
each OPO what it would have to achieve
over a four-year period to meet the
proposed performance standards. Since
the threshold rate would be established
prior to the assessment period, each
OPO would know from its own
workload data and the latest potential
donor data exactly where it stands at
any point in time over the four-year
performance period. Since the cost of
each OPO’s increased effort and
performance is covered by Medicare,
this is not primarily a cost or revenue
issue for the OPOs. Instead, our new
performance measures would create an
organizational survival issue. The future
of an OPO depends largely on its
performance in obtaining donors and on
utilization of those organs for
transplantation.
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Since all OPOs are ‘‘small entities,’’
all of the alternatives and options
presented throughout this preamble
meet the RFA requirement that effects
on these entities be addressed. We
emphasize, however, that we already
know that many OPOs already meet or
in many cases far exceed our proposed
standards without any regulatory relief,
and we know that the HHS goal for
increasing kidney donation and
transplantation can not be met without
a substantial increase in performance.
We also know that the current
performance requirements permit most
OPOs to perform far below the levels of
their peers in serving the long waiting
lists of patients in need of organ
donation and transplantation.
Because our proposals are
performance standards, they provide
flexibility to the OPOs in meeting the
standards. For example, in addition to
all the possible internal reforms that an
OPO could make, OPOs could merge, or
service areas could be merged. These
flexibilities are not limited to bilateral
agreements and could involve multiple
OPOs in partnership with each other or
with transplant hospitals. OPO boards
could replace the executive leadership
and the leadership could replace any
ineffective coordinators. They could
work to improve working relationships
with donor hospitals within their
service areas through programs such as
the Workplace Partnership for Life.
Should any case arise where an OPO is
unable to make the changes necessary to
or constrained by circumstances beyond
its control that it cannot reach the
performance levels of others, CMS can
intervene with technical assistance or to
facilitate mergers or other changes. We
believe that every OPO can meet the
proposed standards through good faith
reforms to improve both donation and
organ placement.
The RFA contains a number of
requirements for the content of an Initial
Regulatory Flexibility Analysis,
including a description of the reasons
why action is being considered, a
statement of the objectives and legal
basis for the proposed rule, a
description of any reporting or recordkeeping requirements of the proposed
rule, and a description of any other
Federal rules that duplicate, overlap, or
conflict with the proposed rule (there
are none in this case), among others.
This RIA and the preamble taken as a
whole meet these requirements. We
welcome comments about effects on
small entities and on alternatives that
might improve the rule in meeting its
stated objectives. We note that the RFA
emphasizes the use of performance
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rather than design standards, which is
precisely what we propose.
2. Small Rural Hospitals. Section
1102(b) of the Act requires us to prepare
an RIA if a rule may have a significant
impact on the operations of a substantial
number of small rural hospitals. This
analysis must conform to the provisions
of section 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. This proposed rule’s direct effects
do not fall on hospitals and there are no
small rural hospitals that operate
transplant programs. Accordingly, the
Secretary has determined that this
proposed rule will not have a significant
impact on the operations of a substantial
number of small rural hospitals.
3. Unfunded Mandates Reform Act.
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 one year of $100 million in 1995
dollars, updated annually for inflation.
In 2019, that threshold is approximately
$154 million. This proposed rule
contains no mandates that directly
impose spending costs on State, local, or
tribal governments, or by the private
sector. Some OPOs would undoubtedly
find that meeting the proposed
standards would require additional
spending, but others may find that
better performance can be achieved at
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little or no cost. In either case,
reimbursement by both public and
private payers would cover all
reasonably estimated costs.
4. Federalism. E.O. 13132 establishes
certain requirements that an agency
must meet when it promulgates a
proposed rule (and subsequent final
rule) that imposes substantial direct
requirement costs on state and local
governments, preempts state law, or
otherwise has Federalism implications.
This proposed rule would impose no
such requirements.
G. Alternatives Considered
Throughout the preamble sections, we
present our proposals and seek
comments on potential alternatives. We
seek to implement reform measures that
(1) establish empirically-based outcome
and process performance measures for
OPOs, (2) that can be uniformly applied
to all OPOs, (3) that would capture the
entire pool of potential deceaseddonors, (4) that would use transparent,
reliable and objective data that would
not require entity-specific judgments,
(5) that use data that accounts for
geographic differences in the number
and causes of death, and (6) that use
data that are easily captured and tallied
on a continuing annual basis.
In choosing the outcomes measures
that we are proposing and setting the
threshold donation and organ
transplantation rate at the top 25
percent of rates, we sought to strike a
balance between the goals set forth by
HHS and the potential disruption that
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could happen if only a few OPOs could
comply with our standards. We also
analyzed three types of alternatives that
could be applied to all the OPOs:
Changing the denominator, changing the
confidence intervals, and changing the
threshold rates. For changes to the
denominator, we examined the impact
of using the CALC measure as the
denominator; using the total unadjusted
number of deaths in the DSA as
denominator; and using the total
population in the DSA as the
denominator. For changes to the
confidence interval, we examined the
impact of changing the confidence
interval (CI) to 90 and 99 percent. For
changes to the threshold rates, we
examined the impact of setting the
threshold at an absolute value based on
the geometric mean or the median from
the year 2016. For the Hawaii OPO, we
analyzed one additional alternative to
consider: Using the kidney donation
and transplantation rates as a measure
of success because of the geographical
barriers to transporting the other organs
for transplantation outside of Hawaii.
We are seeking comments to these
alternatives in addition to our proposed
outcome measures.
Changes to the Denominator
CALC as the Denominator
The following table shows the likely
effects of using the CALC to define the
donor potential:
BILLING CODE 4120–01–P
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Table 13a. OPO Donation Rates Using CALC Measures
(Threshold donation rates are 4.11 for proposed, and 11.36 for CALC measure. OPOs flagged
are in balded italics.)
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CALC Measure
Additional
Donors
Needed to
Upper
Reach
Donation Bound
25%
Rate
of CI
Cutoff
5.65
6.45
0
14.87
16.87
0
5.49
6.42
0
12.49
14.50
0
5.22
6.12
0
13.72
15.94
0
5.35
4.99
5.96
5.92
0
0
15.31
13.29
16.94
15.64
0
0
4.99
5.80
0
11.37
13.14
0
5.21
5.60
0
14.00
14.99
0
4.83
5.36
0
11.42
12.64
0
4.34
5.33
0
13.15
15.93
0
4.51
5.17
0
11.81
13.46
0
4.04
5.10
0
11.19
14.00
0
4.48
5.06
0
11.33
12.75
0
4.37
5.03
0
11.69
13.36
0
4.32
4.93
0
10.74
12.20
0
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OPOName
Organ Procurement
Organization at the
University of
Wisconsin (WIUW)
Lifesharing - A
Donate Life
Organization
(CASD)
DonorConnect
(UTOP)
Midwest Transplant
Network (MWOB)
Versiti (WIDN)
Nevada Donor
Network (NVL V)
Gift of Life Donor
Program (PADV)
Donor Network of
Arizona (AZOB)
Nebraska Organ
Recovery (NEOR)
The Living Legacy
Foundation of
Maryland (MDPC)
ConnectLife
(NYWN)
LifeShare of
Oklahoma (OKOP)
Washington
Regional Transplant
Community (DCTC)
OurLegacy - FL
(FLFH)
Pro posed Measure
Additional
Donors
Needed to
Upper
Reach
Donation Bound
25%
Rate
of CI
Cutoff
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
OPOName
Southwest
Transplant Alliance
(TXSB)
Mid-America
Transplant Services
(MOMA)
Donor Alliance
(CORS)
LifeGift (TXGC)
Sierra Donor
Services (CAGS)
Lifeshare Carolinas
(NCCM)
Gift of Hope Organ
& Tissue Donor
Network (ILIP)
Tennessee Donor
Services (TNDS)
Center for Organ
Recovery and
Education (PATF)
LifeSource - MN
(MNOP)
New Mexico Donor
Services (NMOP)
Legacy of Life Hawaii (HIOP)
LifeCenter Organ
Donor Network
(OHOV)
LifeCenter
Northwest (W ALC)
New Jersey Sharing
Network (NJTO)
LifeBanc (OHLB)
LifeLink of Florida
(FLWC)
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Pro posed Measure
Additional
Donors
Needed to
Upper
Reach
Donation Bound
25%
Rate
of CI
Cutoff
CALC Measure
Additional
Donors
Needed to
Upper
Reach
Donation Bound
25%
Rate
of CI
Cutoff
4.27
4.65
0
11.70
12.68
0
4.12
4.61
0
12.12
13.48
0
3.95
4.15
4.55
4.52
0
0
10.59
11.42
12.12
12.41
0
0
3.73
4.50
0
8.65
10.37
9
3.77
4.46
0
10.47
12.29
0
4.08
4.45
0
11.36
12.32
0
3.94
4.34
0
10.25
11.26
3
3.85
4.31
0
10.10
11.26
2
3.68
4.17
0
9.89
11.16
4
3.32
4.16
0
8.77
10.91
3
3.06
4.11
1
7.24
9.62
8
3.35
4.10
1
9.30
11.30
1
3.68
4.10
1
9.54
10.58
19
3.61
3.54
4.08
4.06
2
2
9.37
9.91
10.53
11.29
16
1
3.62
4.06
3
9.47
10.58
17
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70664
70665
OPOName
Louisiana Organ
Procurement Agency
(LAOP)
Life Alliance Organ
Recovery Agency
(FLMP)
Lifeline of Ohio
(OHLP)
Sharing Hope SC
(SCOP)
Donor Network
West (CADN)
OneLegacv (CAOP)
Pacific Northwest
Transplant Bank
(ORUO)
Life Connection of
Ohio (OHLC)
Gift of Life
Michigan (MIOP)
Texas Organ
Sharing Alliance
(TXSA)
LifeLink of Georgia
(GALL)
LifeQuest Organ
Recovery Services
(FLUF)
New England Organ
Bank (MAOB)
Mid-South
Transplant
Foundation (TNMS)
Carolina Donor
Services (NCNC)
LiveOnNY (NYRT)
Indiana Donor
Network (INOP)
VerDate Sep<11>2014
19:46 Dec 20, 2019
Jkt 250001
Pro posed Measure
Additional
Donors
Needed to
Upper
Reach
Donation Bound
25%
Rate
of CI
Cutoff
CALC Measure
Additional
Donors
Needed to
Upper
Reach
Donation Bound
25%
Rate
of CI
Cutoff
3.59
4.05
3
9.86
11.09
5
3.55
4.02
5
8.25
9.31
42
3.40
3.95
6
9.71
11.22
2
3.39
3.87
11
8.97
10.19
20
3.43
3.47
3.77
3.75
29
44
9.17
8.11
10.06
8.75
41
139
3.14
3.65
17
8.65
10.02
18
2.94
3.65
9
7.20
8.87
20
3.31
3.64
39
9.21
10.11
38
3.19
3.63
23
8.14
9.23
41
3.27
3.60
42
10.26
11.27
3
3.12
3.60
21
7.41
8.53
48
3.26
3.59
43
9.52
10.46
26
2.91
3.56
12
7.37
8.99
20
2.93
2.96
3.30
3.27
53
76
8.25
8.18
9.24
9.00
49
78
2.78
3.17
52
7.29
8.28
65
PO 00000
Frm 00039
Fmt 4701
Sfmt 4725
E:\FR\FM\23DEP2.SGM
23DEP2
EP23DE19.036
lotter on DSKBCFDHB2PROD with PROPOSALS2
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
70666
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
lotter on DSKBCFDHB2PROD with PROPOSALS2
BILLING CODE 4120–01–C
As discussed earlier in the preamble,
the CALC method proposed by Goldberg
et al, has been published in the
literature and presented in various
forums. This methodology uses the
same NCHS database and also uses
inpatient deaths to calculate the
denominator. The primary difference
between the CALC methodology and our
proposed methodology is that it uses the
ICD–10 codes to identify deaths that are
consistent with donation (that is,
inclusion criteria) whereas we exclude
ICD–10 codes that are an absolute
contraindications to organ donation
(that is, exclusion criteria). The
developers of the CALC methodology
believe that the ICD–10 codes used in
VerDate Sep<11>2014
19:46 Dec 20, 2019
Jkt 250001
CALC Measure
Additional
Donors
Needed to
Upper
Reach
Donation Bound
25%
Rate
of CI
Cutoff
2.43
3.07
21
6.27
7.86
27
2.53
3.07
29
7.13
8.61
27
2.64
3.03
56
7.38
8.44
55
2.43
2.94
35
7.30
8.77
26
2.34
2.91
29
7.07
8.72
21
2.24
2.81
30
6.49
8.09
26
1.99
2.33
90
5.50
6.44
91
1. 77
2.27
44
4.83
6.16
46
1.98
2.26
141
5.76
6.55
127
1.65
2.15
45
1,015
4.89
6.34
39
1,223
their inclusion criteria capture 98–99
percent of all donors:
• I20–I25 (ischemic heart disease);
• I60–I69 (cerebrovascular disease)
• V–1–Y89 (external causes of
morbidity and mortality): Blunt trauma,
gunshot wound, drug overdose, suicide,
drowning, and asphyxiation.
We performed a comparative analysis
of the CALC methodology and our
proposed methodology. There is
consistency in the OPOs that were
flagged for donation and organ
transplantation rates that were below
the top 25 percent. Notably, the
differences were in the total donor
potential (denominator) with CALC
method resulting in a donor potential of
101,479 inpatient deaths in 2017,
whereas our proposed methodology had
PO 00000
Frm 00040
Fmt 4701
Sfmt 4702
272,105 inpatient deaths. Where there
were differences in OPOs being flagged
for the donation rates (the CALC method
flagged more OPOs), the differences
were minor (only a small number of
donors per OPO). If all OPOs could
increase their donation rates to at the
threshold rate, under our proposed
methodology, there would be an
additional 1,015 donors (approximately
10.43 percent increase), whereas the
CALC methodology would yield an
additional 1,223 donors (12.57 percent
increase).
We also compared the CALC
methodology on organs transplanted, as
shown in the following table:
BILLING CODE 4120–01–P
E:\FR\FM\23DEP2.SGM
23DEP2
EP23DE19.037
OPOName
Iowa Donor
Network (IAOP)
Mississippi Organ
Recovery Agency
(MSOP)
LifeNet Health
(VATB)
LifeLink of Puerto
Rico (PRLL)
LifeChoice Donor
Services (CTOP)
Center for Donation
and Transplant
(NYAP)
Kentucky Organ
Donor Affiliates
(KYDA)
Arkansas Regional
Organ Recovery
Agency (AROR)
Legacy of Hope Alabama (ALOB)
Finger Lakes Donor
Recovery Network
(NYFL)
Totals
Pro oosed Measure
Additional
Donors
Needed to
Upper
Reach
Donation Bound
25%
Rate
of CI
Cutoff
70667
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
Table 13b. OPO Transplantation Rates Using CALC Measures
(Threshold organ transplantation rates are 13.73 for proposed, and 37.85 for CALC measure.
OPOs flagged are in balded italics.)
OPOName
Lifesharing - A Donate
Life Organization
(CASD)
Organ Procurement
Organization at the
University of Wisconsin
(WIUW)
Midwest Transplant
Network (MWOB)
DonorConnect (UTOP)
Versiti (WIDN)
Donor Network of
Arizona (AZOB)
Nebraska Organ
Recovery (NEOR)
The Living Legacy
Foundation of Maryland
(MDPC)
Nevada Donor Network
(NVLV)
Gift of Life Donor
Program (PADV)
Washington Regional
Transplant Community
(DCTC)
OurLegacy - FL (FLFH)
Southwest Transplant
Alliance (TXSB)
LifeGift (TXGC)
Lifeshare Carolinas
(NCCM)
Mid-America Transplant
Services (MOMA)
VerDate Sep<11>2014
19:46 Dec 20, 2019
Jkt 250001
PO 00000
CALC Measure
Upper
Bound
of CI
Additional
Organs
Needed to
Reach
25%
Cutoff
Upper
Bound
of CI
Additional
Organs
Needed to
Reach
25%
Cutoff
19.44
21.14
0
44.22
48.10
0
18.92
20.37
0
49.80
53.63
0
19.11
17.24
17.03
20.24
18.82
18.70
0
0
0
54.66
45.26
45.38
57.90
49.42
49.82
0
0
0
16.97
17.96
0
40.14
42.49
0
16.13
17.93
0
48.80
54.25
0
15.77
16.98
0
41.29
44.46
0
15.50
16.90
0
35.36
38.55
0
16.12
16.80
0
43.33
45.17
0
14.63
14.29
15.80
15.38
0
0
39.12
35.51
42.25
38.22
0
0
14.61
14.50
15.30
15.20
0
0
39.98
39.92
41.87
41.84
0
0
13.43
14.67
0
37.29
40.74
0
13.65
14.52
0
40.17
42.72
0
TX
Rate
Frm 00041
Fmt 4701
Sfmt 4725
TX
Rate
E:\FR\FM\23DEP2.SGM
23DEP2
EP23DE19.038
lotter on DSKBCFDHB2PROD with PROPOSALS2
Proposed Measure
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
lotter on DSKBCFDHB2PROD with PROPOSALS2
Proposed Measure
OPOName
ConnectLife (NYWN)
LifeShare of Oklahoma
(OKOP)
Gift of Hope Organ &
Tissue Donor Network
(ILIP)
Louisiana Organ
Procurement Agency
(LAOP)
Tennessee Donor
Services (TNDS)
Sierra Donor Services
(CAGS)
LifeSource - MN
(MNOP)
Sharing Hope SC
(SCOP)
Donor Alliance (CORS)
Donor Network West
(CADN)
LifeBanc (OHLB)
Lifeline of Ohio (OHLP)
Center for Organ
Recovery and Education
(PATF)
LifeCenter Northwest
(WALC)
Texas Organ Sharing
Alliance (TXSA)
LifeLink of Florida
(FLWC)
OneLegacv (CAOP)
New Mexico Donor
Services (NMOP)
New Jersey Sharing
Network (NJTO)
VerDate Sep<11>2014
19:46 Dec 20, 2019
Jkt 250001
PO 00000
CALC Measure
TX
Rate
12.59
Upper
Bound
of CI
14.38
Additional
Organs
Needed to
Reach
25%
Cutoff
0
TX
Rate
34.90
Upper
Bound
of CI
39.86
Additional
Organs
Needed to
Reach
25%
Cutoff
0
13.35
14.35
0
33.80
36.32
24
13.65
14.30
0
37.94
39.76
0
13.15
14.02
0
36.15
38.54
0
13.13
13.86
0
34.20
36.09
48
12.43
13.77
0
28.82
31.94
51
12.51
13.40
16
33.68
36.05
31
12.27
11.82
13.15
12.83
26
31
32.43
31.68
34.77
34.38
52
44
12.16
11.54
11.43
12.80
12.45
12.40
80
52
46
32.56
32.28
32.64
34.26
34.81
35.42
114
44
30
11.58
12.37
73
30.35
32.40
111
11.59
12.32
88
30.04
31.92
143
11.44
12.25
73
29.18
31.25
128
11.47
11.54
12.24
12.04
82
210
30.02
26.93
32.03
28.11
123
521
10.50
11.92
28
27. 76
31.51
37
11.09
11.89
91
28.77
30.84
134
Frm 00042
Fmt 4701
Sfmt 4725
E:\FR\FM\23DEP2.SGM
23DEP2
EP23DE19.039
70668
70669
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
OPOName
LifeCenter Organ Donor
Network (OHOV)
Indiana Donor Network
(INOP)
Life Alliance Organ
Recovery Agency
(FLMP)
New England Organ
Bank (MAOB)
Carolina Donor Services
(NCNC)
LifeQuest Organ
Recovery Services
(FLUF)
LifeLink of Georgia
(GALL)
Pacific Northwest
Transplant Bank
(ORUO)
Gift of Life Michigan
(MIOP)
Mid-South Transplant
Foundation (TNMS)
LiveOnNY (NYRT)
Legacy of Life - Hawaii
(HIOP)
Life Connection of Ohio
(OHLC)
LifeNet Health (VATB)
Mississippi Organ
Recovery Agency
(MSOP)
Iowa Donor Network
(IAOP)
LifeChoice Donor
Services (CTOP)
VerDate Sep<11>2014
19:46 Dec 20, 2019
Jkt 250001
PO 00000
CALC Measure
Upper
Bound
of CI
Additional
Organs
Needed to
Reach
25%
Cutoff
Upper
Bound
of CI
Additional
Organs
Needed to
Reach
25%
Cutoff
10.60
11.86
36
29.41
32.93
35
10.84
11.58
121
28.40
30.33
162
10.44
11.23
119
24.27
26.10
242
10.56
11.15
219
30.85
32.58
154
10.47
11.14
171
29.45
31.33
153
10.16
11.00
112
24.14
26.15
202
10.30
10.89
238
32.34
34.19
98
9.92
10.80
107
27.35
29.78
107
10.16
10.74
255
28.30
29.91
243
9.28
9.66
10.40
10.21
73
323
23.54
26.68
26.37
28.19
100
321
8.36
9.96
38
19.74
23.52
61
8.69
9.05
9.83
9.75
77
210
21.25
25.26
24.05
27.21
111
201
8.71
9.66
114
24.57
27.25
106
7. 72
8.79
100
19.88
22.62
120
7.42
8.37
131
22.38
25.24
102
TX
Rate
Frm 00043
Fmt 4701
Sfmt 4725
TX
Rate
E:\FR\FM\23DEP2.SGM
23DEP2
EP23DE19.040
lotter on DSKBCFDHB2PROD with PROPOSALS2
Proposed Measure
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
Proposed Measure
TX
Rate
OPOName
TX
Rate
Upper
Bound
of CI
Additional
Organs
Needed to
Reach
25%
Cutoff
7.33
7.97
300
20.29
22.05
298
(PRLL)
6.77
7.58
189
20.30
22.72
155
6.61
7.53
145
19.13
21. 79
129
6.18
6.66
551
17.96
19.34
497
5.72
6.56
178
15.63
17.91
181
4.47
5.23
200
4,903
13.25
15.51
177
5,590
(AROR)
Finger Lakes Donor
Recovery Network
(NYFL)
Totals
BILLING CODE 4120–01–C
For organs transplanted, if all flagged
OPOs were to increase their organs
transplanted to the range of the top 25
percent, then using the CMS
methodology, there would be an
additional 4,903 organs transplanted
(15.24 percent increase); using the
CALC methodology, there were would
be 5,590 more organs transplanted
(17.37 percent increase). Other than the
approximately 2 percent increase in
lotter on DSKBCFDHB2PROD with PROPOSALS2
Upper
Bound
of CI
Additional
Organs
Needed to
Reach
25%
Cutoff
Kentucky Organ Donor
Affiliates (KYDA)
LifeLink of Puerto Rico
Center for Donation and
Transplant (NY AP)
Legacy of Hope Alabama (ALOB)
Arkansas Regional Organ
Recovery Agency
VerDate Sep<11>2014
CALC Measure
19:46 Dec 20, 2019
Jkt 250001
donations and organ transplantation,
another difference in the methodologies
is the difference in how much of an
increase each particular OPO would
need to increase in organs transplanted.
We are seeking comments on these
differences and whether the CALC
method is a more precise and/or
accurate assessment of OPO
performance.
PO 00000
All Deaths, Age <=75 as the
Denominator
In addition to analyzing the CALC
method for the denominator, we also
considered using the total number of
deaths of people 75 years and younger,
regardless of location or cause of death
to define the donor potential. The
following tables show the effects of
measure the donor potential based on
the total deaths:
BILLING CODE 4120–01–P
Frm 00044
Fmt 4701
Sfmt 4702
E:\FR\FM\23DEP2.SGM
23DEP2
EP23DE19.041
70670
70671
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
OPOName
Organ Procurement
Organization at the
University of Wisconsin
(WIUW)
Lifesharing - A Donate
Life Organization
(CASD)
DonorConnect (UTOP)
Midwest Transplant
Network (MWOB)
Versiti (WIDN)
Nevada Donor Network
(NVLV)
Gift of Life Donor
Program (PADV)
Donor Network of
Arizona (AZOB)
Nebraska Organ
Recovery (NEOR)
The Living Legacy
Foundation of Maryland
(MDPC)
ConnectLife (NYWN)
LifeShare of Oklahoma
(OKOP)
Washington Regional
Transplant Community
(DCTC)
OurLegacy - FL (FLFH)
Southwest Transplant
Alliance (TXSB)
Mid-America Transplant
Services (MOMA)
Donor Alliance (CORS)
VerDate Sep<11>2014
19:46 Dec 20, 2019
Jkt 250001
Donation
Rate
PO 00000
Additional
Donors
Needed to
Upper
Reach
Bound
25%
of CI
Cutoff
Rate
(per
1,000
deaths)
Additional
Donors
Needed to
Upper
Reach
Bound
25%
of CI
Cutoff
5.65
6.45
0
9.91
11.37
0
5.49
5.22
6.42
6.12
0
0
10.77
9.34
12.64
10.99
0
0
5.35
4.99
5.96
5.92
0
0
9.39
9.31
10.48
11.10
0
0
4.99
5.80
0
10.81
12.61
0
5.21
5.60
0
9.99
10.75
0
4.83
5.36
0
8.49
9.45
0
4.34
5.33
0
8.74
10.76
0
4.51
4.04
5.17
5.10
0
0
7.77
7.35
8.94
9.34
0
0
4.48
5.06
0
8.68
9.84
0
4.37
4.32
5.03
4.93
0
0
8.98
8.15
10.35
9.33
0
0
4.27
4.65
0
9.12
9.93
0
4.12
3.95
4.61
4.55
0
0
8.76
6.57
9.81
7.58
0
11
Frm 00045
Fmt 4701
Sfmt 4725
E:\FR\FM\23DEP2.SGM
23DEP2
EP23DE19.042
lotter on DSKBCFDHB2PROD with PROPOSALS2
Table 14a: OPO Donation Rates Using Deaths (Age <=75) Measure
(Threshold donation rates are 4.11 for proposed, and 8.11 for Deaths (Age <=75) measure. OPOs
flagged are in balded italics.)
Proposed Measure
Deaths (Age<=75)
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
lotter on DSKBCFDHB2PROD with PROPOSALS2
Proposed Measure
OPOName
LifeGift (TXGC)
Sierra Donor Services
(CAGS)
Lifeshare Carolinas
(NCCM)
Gift of Hope Organ &
Tissue Donor Network
(ILIP)
Tennessee Donor
Services (TNDS)
Center for Organ
Recovery and Education
(PATF)
LifeSource - MN
(MNOP)
New Mexico Donor
Services (NMOP)
Legacy of Life - Hawaii
(HIOP)
LifeCenter Organ Donor
Network (OHOV)
LifeCenter Northwest
(WALC)
New Jersey Sharing
Network (NJTO)
LifeBanc (OHLB)
LifeLink of Florida
(FLWC)
Louisiana Organ
Procurement Agency
(LAOP)
Life Alliance Organ
Recovery Agency
(FLMP)
Lifeline of Ohio (OHLP)
Sharing Hope SC
(SCOP)
VerDate Sep<11>2014
19:46 Dec 20, 2019
Jkt 250001
Deaths (Age<=75)
Additional
Donors
Needed to
Reach
Rate
(per
25%
1,000
Cutoff
0
deaths)
8.70
Upper
Bound
of CI
9.50
Additional
Donors
Needed to
Reach
Donation
Rate
4.15
Upper
Bound
of CI
4.52
3.73
4.50
0
6.60
7.99
2
3.77
4.46
0
7.69
9.11
0
4.08
4.45
0
8.00
8.72
0
3.94
4.34
0
8.28
9.15
0
3.85
4.31
0
6.98
7.83
9
3.68
4.17
0
6.92
7.86
6
3.32
4.16
0
5.82
7.33
7
3.06
4.11
1
6.47
8.71
0
3.35
4.10
1
6.07
7.45
7
3.68
4.10
1
7.22
8.05
2
3.61
3.54
4.08
4.06
2
2
7.18
6.61
8.12
7.59
0
11
3.62
4.06
3
7.15
8.03
3
3.59
4.05
3
7.23
8.18
0
3.55
3.40
4.02
3.95
5
6
7.00
7.03
7.95
8.18
4
0
3.39
3.87
11
6.28
7.18
22
PO 00000
Frm 00046
Fmt 4701
Sfmt 4725
E:\FR\FM\23DEP2.SGM
23DEP2
25%
Cutoff
0
EP23DE19.043
70672
70673
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
OPOName
Donor Network West
(CADN)
OneLegacy (CAOP)
Pacific Northwest
Transplant Bank
(ORUO)
Life Connection of Ohio
(OHLC)
Gift of Life Michigan
(MIOP)
Texas Organ Sharing
Alliance (TXSA)
LifeLink of Georgia
(GALL)
LifeQuest Organ
Recovery Services
(FLUF)
New England Organ
Bank (MAOB)
Mid-South Transplant
Foundation (TNMS)
Carolina Donor Services
(NCNC)
LiveOnNY (NYRT)
Indiana Donor Network
(INOP)
Iowa Donor Network
(IAOP)
Mississippi Organ
Recovery Agency
(MSOP)
LifeNet Health (VATB)
LifeLink of Puerto Rico
(PRLL)
LifeChoice Donor
Services (CTOP)
VerDate Sep<11>2014
19:46 Dec 20, 2019
Jkt 250001
Deaths (Age<=75)
Additional
Donors
Needed to
Reach
Rate
(per
25%
1,000
Cutoff
deaths)
Upper
Bound
of CI
Additional
Donors
Needed to
Reach
Donation
Rate
Upper
Bound
of CI
3.43
3.47
3.77
3.75
29
44
6.71
7.26
7.39
7.86
31
15
3.14
3.65
17
5.50
6.41
35
2.94
3.65
9
4.89
6.08
24
3.31
3.64
39
6.42
7.09
45
3.19
3.63
23
6.80
7. 76
8
3.27
3.60
42
6.05
6.68
64
3.12
3.60
21
5.88
6.81
28
3.26
3.59
43
5.93
6.55
72
2.91
3.56
12
6.03
7.42
8
2.93
2.96
3.30
3.27
53
76
5.60
6.87
6.30
7.59
61
21
2.78
3.17
52
5.79
6.61
40
2.43
3.07
21
4.28
5.42
30
2.53
2.64
3.07
3.03
29
56
5.26
5.54
6.40
6.37
23
43
2.43
2.94
35
5.30
6.42
23
2.34
2.91
29
4.68
5.82
27
PO 00000
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Fmt 4701
Sfmt 4725
E:\FR\FM\23DEP2.SGM
23DEP2
25%
Cutoff
EP23DE19.044
lotter on DSKBCFDHB2PROD with PROPOSALS2
Proposed Measure
70674
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
Proposed Measure
Donation
Rate
Upper
Bound
of CI
Additional
Donors
Needed to
Reach
25%
Cutoff
Rate
(per
1,000
deaths)
Upper
Bound
of CI
Additional
Donors
Needed to
Reach
25%
Cutoff
2.24
2.81
30
4.21
5.30
34
1.99
2.33
90
3.98
4.69
87
1. 77
2.27
44
3.18
4.09
54
1.98
2.26
141
5.72
6.53
42
1.65
2.15
45
1,015
3.69
4.81
34
933
EP23DE19.046
Table 14b: OPO Transplantation Rate Using Deaths (Age <=75) Measure
(Threshold organ transplantation rates are 13.73, and 27.16 for Deaths (Age <=75 measure.
OPOs flagged are in balded italics.)
Proposed Measure
Deaths (Age<= 75)
Additional
Additional
Organs
Organs
Needed to
Rate
Needed to
Upper
Reach
(per
Upper
Reach
TX
Bound
25%
1,000 Bound
25%
deaths)
OPOName
of
CI
Cutoff
of
CI
Cutoff
Rate
Lifesharing - A Donate Life
Organization (CASD)
19.44 21.14
0
38.13 41.48
0
Organ Procurement
Organization at the
University of Wisconsin
(WIUW)
18.92 20.37
0
33.20 35.75
0
Midwest Transplant
Network (MWOB)
19.11 20.24
0
33.52 35.51
0
DonorConnect (UTOP)
17.24 18.82
0
30.83 33.67
0
Versiti (WION)
17.03 18.70
0
31.79 34.90
0
Donor Network of Arizona
(AZOB)
16.97 17.96
0
29.84 31.58
0
VerDate Sep<11>2014
19:46 Dec 20, 2019
Jkt 250001
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E:\FR\FM\23DEP2.SGM
23DEP2
EP23DE19.045
lotter on DSKBCFDHB2PROD with PROPOSALS2
OPOName
Center for Donation and
Transplant (NY AP)
Kentucky Organ Donor
Affiliates (KYDA)
Arkansas Regional Organ
Recovery Agency
(AROR)
Legacy of Hope Alabama (ALOB)
Finger Lakes Donor
Recovery Network
(NYFL)
Totals
Deaths (Age<=75)
70675
OPOName
Nebraska Organ Recovery
(NEOR)
The Living Legacy
Foundation of Maryland
(MDPC)
Nevada Donor Network
(NVLV)
Gift of Life Donor Program
(PADV)
Washington Regional
Transplant Community
(DCTC)
OurLegacy - FL (FLFH)
Southwest Transplant
Alliance (TXSB)
LifeGift (TXGC)
Lifeshare Carolinas
(NCCM)
Mid-America Transplant
Services (MOMA)
ConnectLife (NYWN)
LifeShare of Oklahoma
(OKOP)
Gift of Hope Organ &
Tissue Donor Network
(ILIP)
Louisiana Organ
Procurement Agency
CLAOP)
Tennessee Donor Services
(TNDS)
Sierra Donor Services
(CAGS)
LifeSource - MN (MNOP)
Sharing Hope SC (SCOP)
Donor Alliance (CORS)
Donor Network West
(CADN)
VerDate Sep<11>2014
19:46 Dec 20, 2019
Jkt 250001
PO 00000
Proposed Measure
Additional
Organs
Needed to
Upper
Reach
TX
Bound
25%
of CI
Cutoff
Rate
Deaths (Age<= 75)
Additional
Organs
Rate
Needed to
(per
Upper
Reach
1,000
Bound
25%
deaths) of CI
Cutoff
16.13
17.93
0
32.45
36.07
0
15.77
16.98
0
27.17
29.26
0
15.50
16.90
0
33.61
36.64
0
16.12
16.80
0
30.92
32.24
0
14.63
14.29
15.80
15.38
0
0
30.05
26.96
32.45
29.01
0
0
14.61
14.50
15.30
15.20
0
0
31.16
30.39
32.63
31.84
0
0
13.43
14.67
0
27.38
29.92
0
13.65
12.59
14.52
14.38
0
0
29.03
22.93
30.88
26.19
0
7
13.35
14.35
0
25.88
27.81
0
13.65
14.30
0
26.72
28.00
0
13.15
14.02
0
26.49
28.24
0
13.13
13.86
0
27.63
29.16
0
12.43
12.51
12.27
11.82
13.77
13.40
13.15
12.83
0
16
26
31
22.01
23.58
22.71
19.65
24.39
25.24
24.34
21.32
32
47
68
118
12.16
12.80
80
23.82
25.06
92
Frm 00049
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E:\FR\FM\23DEP2.SGM
23DEP2
EP23DE19.047
lotter on DSKBCFDHB2PROD with PROPOSALS2
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
OPOName
LifeBanc (OHLB)
Lifeline of Ohio (OHLP)
Center for Organ Recovery
and Education (PATF)
LifeCenter Northwest
(WALC)
Texas Organ Sharing
Alliance (TXSA)
LifeLink of Florida (FLWC)
OneLegacv (CAOP)
New Mexico Donor
Services (NMOP)
New Jersey Sharing
Network (NJTO)
LifeCenter Organ Donor
Network (OHOV)
Indiana Donor Network
(INOP)
Life Alliance Organ
Recovery Agency (FLMP)
New England Organ Bank
(MAOB)
Carolina Donor Services
(NCNC)
LifeQuest Organ Recovery
Services (FLUF)
LifeLink of Georgia
(GALL)
Pacific Northwest
Transplant Bank (ORUO)
Gift of Life Michigan
(MIOP)
Mid-South Transplant
Foundation (TNMS)
LiveOnNY (NYRT)
Legacy of Life - Hawaii
(HIOP)
VerDate Sep<11>2014
19:46 Dec 20, 2019
Jkt 250001
PO 00000
Proposed Measure
Additional
Organs
Needed to
Upper
Reach
TX
Bound
25%
of CI
Cutoff
Rate
11.54 12.45
52
11.43 12.40
46
Deaths (Age<= 75)
Additional
Organs
Rate
Needed to
(per
Upper
Reach
1,000
Bound
25%
deaths) of CI
Cutoff
21.53 23.22
85
23.63 25.64
26
11.58
12.37
73
20.98
22.40
141
11.59
12.32
88
22.73
24.15
96
11.44
11.47
11.54
12.25
12.24
12.04
73
82
210
24.40
22.67
24.12
26.14
24.19
25.19
24
83
118
10.50
11.92
28
18.44
20.93
55
11.09
11.89
91
22.05
23.64
88
10.60
11.86
36
19.20
21.49
61
10.84
11.58
121
22.55
24.09
83
10.44
11.23
119
20.61
22.17
121
10.56
11.15
219
19.21
20.29
322
10.47
11.14
171
19.98
21.26
205
10.16
11.00
112
19.17
20.76
139
10.30
10.89
238
19.07
20.16
317
9.92
10.80
107
17.37
18.92
172
10.16
10.74
255
19.74
20.86
277
9.28
9.66
10.40
10.21
73
323
19.27
22.41
21.58
23.67
59
138
8.36
9.96
38
17.65
21.04
29
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E:\FR\FM\23DEP2.SGM
23DEP2
EP23DE19.048
lotter on DSKBCFDHB2PROD with PROPOSALS2
70676
70677
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
lotter on DSKBCFDHB2PROD with PROPOSALS2
BILLING CODE 4120–01–C
Using total number of deaths as the
denominator, the donor potential was
1,376,541 deaths in 2017 of people 75
years and younger (compared with our
donor potential of 272,105 inpatient
deaths). Despite this large discrepancy
in the denominator, we find very similar
results for those OPOs being flagged by
our methodology versus an approach
that uses total deaths. If all OPOs were
able to achieve the threshold 25 percent
rate using this methodology, we would
have 933 additional donors (compared
with the 1,105 with our proposed
methodology) and 4,851 more organs
transplanted, compared with the 4,903
organs from our proposed methodology.
Similar to the CALC method, where
there were differences in the OPOs
VerDate Sep<11>2014
19:46 Dec 20, 2019
Jkt 250001
8.69
9.05
9.83
9.75
8.71
Deaths (Age<= 75)
Additional
Organs
Rate
Needed to
(per
Upper
Reach
1,000
Bound
25%
deaths) of CI
Cutoff
210
14.44
18.98
16.34
20.44
129
169
9.66
114
18.12
20.10
95
7. 72
8.79
100
13.59
15.47
135
7.42
8.37
131
14.82
16.71
128
7.33
7.97
300
14.71
15.99
290
6.77
7.58
189
14.74
16.50
150
6.61
7.53
145
12.41
14.14
162
6.18
6.66
551
17.83
19.20
215
5.72
6.56
178
10.30
11.80
212
4.47
5.23
200
4,903
9.98
11.68
163
4,851
77
being flagged for donation rates, the
additional donors needed were mostly
in the single digits. For the organ
transplantation rates, the greatest
differences were not in which OPOs
were flagged, but rather, it was the
differences by OPO in the number of
additional organs that needed to be
transplanted in order to reach the top 25
percent threshold rate.
Total Population, Age <75
A third alternative denominator that
we analyzed used the U.S. population
from the 2010 census of persons less
than 75 years old as the denominator.43
A population-based approach to re43 For convenience, we used less than 75 years
old rather than 75 and younger because of how the
Census data is publicly reported.
PO 00000
Frm 00051
Fmt 4701
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certifying OPOs was used by the
Department until the passage of the
OPO Certification Act of 2000, which
specifically raised concerns about ‘‘[a]n
exclusive reliance on population-based
measures of performance that do not
account for the potential in the
population for organ donation and do
not permit consideration of other
outcome and process standards that
would more accurately reflect the
relative capability and performance of
each organ procurement organization.’’
While we considered this approach, for
this reason, and others that we discuss
in further detail, we chose not to
propose it. The following tables show
the effects of using an eligible
population as the donor potential:
BILLING CODE 4120–01–P
E:\FR\FM\23DEP2.SGM
23DEP2
EP23DE19.049
OPOName
Life Connection of Ohio
(OHLC)
LifeNet Health (VATB)
Mississippi Organ Recovery
Agency (MSOP)
Iowa Donor Network
(IAOP)
LifeChoice Donor Services
(CTOP)
Kentucky Organ Donor
Affiliates (KYDA)
LifeLink of Puerto Rico
(PRLL)
Center for Donation and
Transplant (NYAP)
Legacy of Hope - Alabama
(ALOB)
Arkansas Regional Organ
Recovery Agency (AROR)
Finger Lakes Donor
Recovery Network (NYFL)
Totals
Proposed Measure
Additional
Organs
Needed to
Upper
Reach
TX
Bound
25%
of CI
Cutoff
Rate
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
Table 15a: OPO Donation Rates Using Census Population (Age< 75) Measure
(Threshold donation rates are 4.11, and 4.31 for Census Population (Age <75) measure. OPOs
flagged are in balded italics.)
Proposed Measure
Census Population (Age <75)
Additional
Additional
Donors
Donors
Rate
Needed to
Needed to
Upper
Reach
(per
Upper
Reach
Donation Bound
25%
100,000 Bound
25%
pop.)
OPOName
Rate
of CI
Cutoff
of CI
Cutoff
Organ
Procurement
Organization at the
University of
Wisconsin
(WIUW)
5.65
6.45
0
4.73
5.42
0
Lifesharing - A
Donate Life
Organization
(CASD)
5.49
6.42
0
3.76
4.42
0
DonorConnect
(UTOP)
5.22
6.12
0
3.39
3.99
10
Midwest
Transplant
Network (MWOB)
5.35
5.96
0
4.85
5.41
0
Versiti (WIDN)
4.99
5.92
0
4.27
5.10
0
Nevada Donor
Network (NVL V)
4.99
5.80
0
6.31
7.37
0
Gift of Life Donor
Program (PADV)
5.21
5.60
0
5.27
5.67
0
Donor Network of
Arizona (AZOB)
4.83
5.36
0
4.37
4.87
0
Nebraska Organ
Recovery (NEOR)
4.34
5.33
0
4.02
4.96
0
The Living Legacy
Foundation of
Maryland (MDPC)
4.51
5.17
0
4.33
4.99
0
ConnectLife
(NYWN)
4.04
5.10
0
3.84
4.88
0
LifeShare of
Oklahoma
(OKOP)
4.48
5.06
0
5.46
6.19
0
Washington
Regional
Transplant
4.37
5.03
0
3.04
3.51
34
VerDate Sep<11>2014
19:46 Dec 20, 2019
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E:\FR\FM\23DEP2.SGM
23DEP2
EP23DE19.050
lotter on DSKBCFDHB2PROD with PROPOSALS2
70678
70679
OPOName
Community
(DCTC)
OurLegacy - FL
(FLFH)
Southwest
Transplant
Alliance (TXSB)
Mid-America
Transplant
Services (MOMA)
Donor Alliance
(CORS)
LifeGift (TXGC)
Sierra Donor
Services (CAGS)
Lifeshare
Carolinas (NCCM)
Gift of Hope
Organ & Tissue
Donor Network
(ILIP)
Tennessee Donor
Services (TNDS)
Center for Organ
Recovery and
Education (PATF)
LifeSource - MN
(MNOP)
New Mexico
Donor Services
(NMOP)
Legacy of Life Hawaii (HIOP)
LifeCenter Organ
Donor Network
(OHOV)
VerDate Sep<11>2014
19:46 Dec 20, 2019
Jkt 250001
Proposed Measure
Additional
Donors
Needed to
Upper
Reach
Donation Bound
25%
Rate
of CI
Cutoff
Census Population (Age <75)
Additional
Donors
Rate
Needed to
(per
Upper
Reach
100,000 Bound
25%
pop.)
of CI
Cutoff
4.32
4.93
0
5.18
5.94
0
4.27
4.65
0
4.51
4.92
0
4.12
4.61
0
5.40
6.06
0
3.95
4.15
4.55
4.52
0
0
2.80
4.09
3.23
4.47
50
0
3.73
4.50
0
2.97
3.60
17
3.77
4.46
0
4.43
5.26
0
4.08
4.45
0
3.48
3.79
53
3.94
4.34
0
5.95
6.57
0
3.85
4.31
0
4.55
5.11
0
3.68
4.17
0
2.87
3.26
60
3.32
4.16
0
3.02
3.81
9
3.06
4.11
1
2.83
3.82
6
3.35
4.10
1
3.50
4.30
1
PO 00000
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E:\FR\FM\23DEP2.SGM
23DEP2
EP23DE19.051
lotter on DSKBCFDHB2PROD with PROPOSALS2
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
OPOName
LifeCenter
Northwest
(WALC)
New Jersey
Sharing Network
(NJTO)
LifeBanc (OHLB)
LifeLink of
Florida (FLWC)
Louisiana Organ
Procurement
Agency (LAOP)
Life Alliance
Organ Recovery
Agency (FLMP)
Lifeline of Ohio
(OHLP)
Sharing Hope SC
(SCOP)
Donor Network
West (CADN)
OneLegacy
(CAOP)
Pacific Northwest
Transplant Bank
(ORUO)
Life Connection of
Ohio (OHLC)
Gift of Life
Michigan (MIOP)
Texas Organ
Sharing Alliance
(TXSA)
LifeLink of
Georgia (GALL)
LifeQuest Organ
Recovery Services
(FLUF)
VerDate Sep<11>2014
19:46 Dec 20, 2019
Jkt 250001
Proposed Measure
Additional
Donors
Needed to
Upper
Reach
Donation Bound
25%
Rate
of CI
Cutoff
Census Population (Age <75)
Additional
Donors
Rate
Needed to
(per
Upper
Reach
100,000 Bound
25%
pop.)
of CI
Cutoff
3.68
4.10
1
3.31
3.69
42
3.61
3.54
4.08
4.06
2
2
2.85
4.04
3.22
4.65
67
0
3.62
4.06
3
4.93
5.55
0
3.59
4.05
3
4.58
5.18
0
3.55
4.02
5
3.37
3.82
24
3.40
3.95
6
4.13
4.81
0
3.39
3.87
11
4.07
4.65
0
3.43
3.77
29
2.64
2.90
153
3.47
3.75
44
2.59
2.80
248
3.14
3.65
17
2.71
3.16
48
2.94
3.65
9
3.01
3.74
11
3.31
3.64
39
3.42
3.77
44
3.19
3.63
23
2.88
3.29
55
3.27
3.60
42
3.21
3.54
64
3.12
3.60
21
4.08
4.72
0
PO 00000
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E:\FR\FM\23DEP2.SGM
23DEP2
EP23DE19.052
lotter on DSKBCFDHB2PROD with PROPOSALS2
70680
70681
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
VerDate Sep<11>2014
19:46 Dec 20, 2019
Jkt 250001
Census Population (Age <75)
Additional
Donors
Rate
Needed to
(per
Upper
Reach
100,000 Bound
25%
pop.)
of CI
Cutoff
3.26
3.59
43
2.67
2.95
139
2.91
3.56
12
3.77
4.64
0
2.93
3.30
53
3.23
3.64
40
2.96
3.27
76
2.44
2.69
177
2.78
3.17
52
3.25
3.71
28
2.43
3.07
21
1.99
2.52
43
2.53
3.07
29
3.59
4.37
0
2.64
3.03
56
3.10
3.56
33
2.43
2.94
35
2.37
2.88
44
2.34
2.91
29
2.09
2.60
45
2.24
2.81
30
2.00
2.52
45
1.99
2.33
90
2.83
3.34
35
1. 77
2.27
44
2.13
2.74
31
1.98
2.26
141
3.85
4.40
0
PO 00000
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Sfmt 4725
E:\FR\FM\23DEP2.SGM
23DEP2
EP23DE19.053
lotter on DSKBCFDHB2PROD with PROPOSALS2
OPOName
New England
Organ Bank
(MAOB)
Mid-South
Transplant
Foundation
(TNMS)
Carolina Donor
Services (NCNC)
LiveOnNY
(NYRT)
Indiana Donor
Network (INOP)
Iowa Donor
Network (IAOP)
Mississippi Organ
Recovery Agency
(MSOP)
LifeNet Health
(VATB)
LifeLink of Puerto
Rico (PRLL)
LifeChoice Donor
Services (CTOP)
Center for
Donation and
Transplant
(NYAP)
Kentucky Organ
Donor Affiliates
(KYDA)
Arkansas Regional
Organ Recovery
Agency (AROR)
Legacy of Hope Alabama (ALOB)
Proposed Measure
Additional
Donors
Needed to
Upper
Reach
Donation Bound
25%
Rate
of CI
Cutoff
70682
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
OPOName
Finger Lakes
Donor Recovery
Network (NYFL)
Totals
Proposed Measure
Additional
Donors
Needed to
Upper
Reach
Donation Bound
25%
Rate
of CI
Cutoff
1.65
2.15
45
1,015
Census Population (Age <75)
Additional
Donors
Rate
Needed to
(per
Upper
Reach
100,000 Bound
25%
pop.)
of CI
Cutoff
1. 76
2.30
43
1,699
Table 15b: OPO Organ Transplantation Rates Using Census Population (Age< 75)
Measure
(Threshold donation rates are 13.73, and 14.26 for Census Population (Age <75) measure. OPOs
Census Population (Age <75)
Additional
Organs
Rate
Needed to
(per
Upper
Reach
100,000 Bound
25%
pop.)
of CI
Cutoff
19.44
21.14
0
13.31
14.48
0
18.92
20.37
0
15.83
17.04
0
19.11
20.24
0
17.30
18.32
0
17.24
17.03
18.82
18.70
0
0
11.19
14.58
12.22
16.01
62
0
16.97
17.96
0
15.37
16.27
0
16.13
17.93
0
14.93
16.60
0
15.77
16.98
0
15.15
16.32
0
15.50
16.90
0
19.61
21.38
0
EP23DE19.055
OPOName
Lifesharing - A
Donate Life
Organization (CASD)
Organ Procurement
Organization at the
University of
Wisconsin (WIUW)
Midwest Transplant
Network (MWOB)
DonorConnect
(UTOP)
Versiti (WIDN)
Donor Network of
Arizona (AZOB)
Nebraska Organ
Recovery (NEOR)
The Living Legacy
Foundation of
Maryland (MDPC)
Nevada Donor
Network (NVL V)
Proposed Measure
Additional
Organs
Needed to
Upper
Reach
TX
Bound
25%
Rate
of CI
Cutoff
VerDate Sep<11>2014
19:46 Dec 20, 2019
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E:\FR\FM\23DEP2.SGM
23DEP2
EP23DE19.054
lotter on DSKBCFDHB2PROD with PROPOSALS2
flagged are in balded italics.)
70683
OPOName
Gift of Life Donor
Program (PADV)
Washington Regional
Transplant
Community (DCTC)
OurLegacy - FL
(FLFH)
Southwest Transplant
Alliance (TXSB)
LifeGift (TXGC)
Lifeshare Carolinas
(NCCM)
Mid-America
Transplant Services
(MOMA)
ConnectLife (NYWN)
LifeShare of
Oklahoma (OKOP)
Gift of Hope Organ &
Tissue Donor Network
(ILIP)
Louisiana Organ
Procurement Agency
CLAOP)
Tennessee Donor
Services (TNDS)
Sierra Donor Services
(CAGS)
LifeSource - MN
(MNOP)
Sharing Hope SC
(SCOP)
Donor Alliance
(CORS)
Donor Network West
(CADN)
LifeBanc (OHLB)
VerDate Sep<11>2014
19:46 Dec 20, 2019
Jkt 250001
Proposed Measure
Additional
Organs
Needed to
Upper
Reach
TX
Bound
25%
Rate
of CI
Cutoff
Census Population (Age <75)
Additional
Organs
Rate
Needed to
(per
Upper
Reach
100,000 Bound
25%
pop.)
of CI
Cutoff
16.12
16.80
0
16.30
16.99
0
14.63
15.80
0
10.18
11.00
144
14.29
15.38
0
17.13
18.44
0
14.61
14.50
15.30
15.20
0
0
15.43
14.31
16.16
14.99
0
0
13.43
14.67
0
15.79
17.26
0
13.65
12.59
14.52
14.38
0
0
17.91
11.98
19.04
13.68
0
8
13.35
14.35
0
16.27
17.49
0
13.65
14.30
0
11.62
12.18
219
13.15
14.02
0
16.78
17.89
0
13.13
13.86
0
19.84
20.94
0
12.43
13.77
0
9.92
10.99
82
12.51
13.40
16
9.77
10.46
223
12.27
13.15
26
14.71
15.77
0
11.82
12.83
31
8.37
9.08
245
12.16
11.54
12.80
12.45
80
52
9.36
13.18
9.85
14.21
488
2
PO 00000
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E:\FR\FM\23DEP2.SGM
23DEP2
EP23DE19.056
lotter on DSKBCFDHB2PROD with PROPOSALS2
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
OPOName
Lifeline of Ohio
(OHLP)
Center for Organ
Recovery and
Education (PATF)
LifeCenter Northwest
(WALC)
Texas Organ Sharing
Alliance (TXSA)
LifeLink of Florida
(FLWC)
OneLegacy (CAOP)
New Mexico Donor
Services (NMOP)
New Jersey Sharing
Network (NJTO)
LifeCenter Organ
Donor Network
(OHOV)
Indiana Donor
Network (INOP)
Life Alliance Organ
Recovery Agency
(FLMP)
New England Organ
Bank (MAOB)
Carolina Donor
Services (NCNC)
LifeQuest Organ
Recovery Services
(FLUF)
LifeLink of Georgia
(GALL)
Pacific Northwest
Transplant Bank
(ORUO)
Gift of Life Michigan
(MIOP)
VerDate Sep<11>2014
19:46 Dec 20, 2019
Jkt 250001
Proposed Measure
Additional
Organs
Needed to
Upper
Reach
TX
Bound
25%
Rate
of CI
Cutoff
Census Population (Age <75)
Additional
Organs
Rate
Needed to
(per
Upper
Reach
100,000 Bound
25%
pop.)
of CI
Cutoff
11.43
12.40
46
13.87
15.06
0
11.58
12.37
73
13.68
14.60
0
11.59
12.32
88
10.42
11.07
222
11.44
12.25
73
10.33
11.06
175
11.47
11.54
12.24
12.04
82
210
15.64
8.61
16.69
8.98
0
884
10.50
11.92
28
9.57
10.86
58
11.09
11.89
91
8.74
9.37
307
10.60
11.86
36
11.08
12.41
35
10.84
11.58
121
12.67
13.54
35
10.44
11.23
119
9.91
10.66
182
10.56
11.15
219
8.64
9.13
534
10.47
11.14
171
11.53
12.27
120
10.16
11.00
112
13.29
14.40
0
10.30
10.89
238
10.11
10.69
304
9.92
10.80
107
8.55
9.31
210
10.16
10.74
255
10.50
11.10
262
PO 00000
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Fmt 4701
Sfmt 4725
E:\FR\FM\23DEP2.SGM
23DEP2
EP23DE19.057
lotter on DSKBCFDHB2PROD with PROPOSALS2
70684
70685
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
OPOName
Mid-South Transplant
Foundation (TNMS)
LiveOnNY (NYRT)
Legacy of Life Hawaii (HIOP)
Life Connection of
Ohio (OHLC)
LifeNet Health
(VATB)
Mississippi Organ
Recovery Agency
(MSOP)
Iowa Donor Network
(IAOP)
LifeChoice Donor
Services (CTOP)
Kentucky Organ
Donor Affiliates
(KYDA)
LifeLink of Puerto
Rico (PRLL)
Center for Donation
and Transplant
(NYAP)
Legacy of Hope Alabama (ALOB)
Arkansas Regional
Organ Recovery
Agency (AROR)
Finger Lakes Donor
Recovery Network
(NYFL)
Totals
lotter on DSKBCFDHB2PROD with PROPOSALS2
BILLING CODE 4120–01–C
In the population-based approach, we
would have 1,699 more organ donors
and 7,000 more organs transplanted if
all flagged OPOs were able to increase
their performance to that of the top 25
percent. This increase does not seem
realistic given how significantly it
differs from the increases utilizing the
CALC and total death analysis. A
VerDate Sep<11>2014
19:46 Dec 20, 2019
Jkt 250001
Census Population (Age <75)
Additional
Organs
Rate
Needed to
(per
Upper
Reach
100,000 Bound
25%
pop.)
of CI
Cutoff
9.28
9.66
10.40
10.21
73
323
12.05
7.95
13.50
8.40
13
655
8.36
9.96
38
7. 72
9.20
55
8.69
9.83
77
8.88
10.05
81
9.05
9.75
210
10.60
11.42
128
8.71
9.66
114
12.37
13.72
11
7. 72
8.79
100
6.32
7.19
176
7.42
8.37
131
6.62
7.46
186
7.33
7.97
300
10.46
11.37
106
6.77
7.58
189
6.61
7.39
216
6.61
7.53
145
5.90
6.73
197
6.18
6.66
551
12.00
12.93
54
5.72
6.56
178
6.91
7.91
130
4.47
5.23
200
4,903
4.77
5.58
191
7,000
fundamental requirement to achieve
these increases is a sufficient number of
deaths that could lead to organ
donation. A population based approach
does not account for the death
requirement and is problematic given
variance in DSA mortality rates from
3.39 to 7.11. We also found a pattern
where OPOs in the geographic areas
PO 00000
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with lower mortality rates, such as the
Pacific Northwest, the Rocky Mountain
area, New England, Los Angeles area,
New York City area, and Hawaii, had
depressed performance rates under this
method, as compared to the OPOs in the
areas of the country with the highest
rates of deaths consistent with organ
E:\FR\FM\23DEP2.SGM
23DEP2
EP23DE19.058
Proposed Measure
Additional
Organs
Needed to
Upper
Reach
TX
Bound
25%
Rate
of CI
Cutoff
70686
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
measure could be reflective of the organ
donation potential.
donation.44 Although we would not
consider a measure which is based
solely on population size, we are
seeking comments as to whether there
are appropriate risk-adjustments that
could be used so that a population
Changing the Confidence Interval
lotter on DSKBCFDHB2PROD with PROPOSALS2
44 Cannon RM, Jones CM, et al, ‘‘Patterns of
geographic variability in mortality and eligible
deaths between organ procurement organizations,’’
AmJTransplant. 2019;00:4 (Fig. 2).
VerDate Sep<11>2014
19:46 Dec 20, 2019
Jkt 250001
In addition to considering other
denominator sources, we considered
changing the way in which we
measured success. One way in which
we measure success is in the confidence
that our rate is flagging correctly. Our
PO 00000
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Fmt 4701
Sfmt 4702
methodology uses a 95 percent CI, so we
analyzed the effects of both the 90
percent and 99 percent CIs; that is, we
increased and decreased our confidence
that we appropriately flagged OPOs
based on our donation and organ
transplantation threshold rates. The
following tables show the effects of
these different CIs:
BILLING CODE 4120–01–P
E:\FR\FM\23DEP2.SGM
23DEP2
70687
Table 16a. OPO Donor Rates Compared at 90 Percent, 95 Percent and 99 Percent
Confidence Levels
Threshold donation rate is 4.11.)
Upper
Upper
Upper
All
Bound of
Bound of
Bound of
Organ
Confidence Confidence Confidence
Donation
Interval
Interval
Interval
OPOName
Rate
90%
95%
99%
Organ Procurement Organization
at the University of Wisconsin
(WIUW)
5.65
6.27
6.45
6.81
Lifesharing - A Donate Life
Organization (CASD)
5.49
6.21
6.42
6.83
DonorConnect (UTOP)
5.22
5.92
6.12
6.52
Midwest Transplant Network
(MWOB)
5.35
5.82
5.96
6.22
Versiti (WIDN)
4.99
5.71
5.92
6.34
4.99
5.61
5.80
6.16
Nevada Donor Network (NVL V)
Gift of Life Donor Program
(PADV)
5.21
5.51
5.60
5.76
Donor Network of Arizona
(AZOB)
4.83
5.24
5.36
5.60
Nebraska Organ Recovery
(NEOR)
4.34
5.10
5.33
5.77
The Living Legacy Foundation
of Maryland (MDPC)
4.51
5.02
5.17
5.46
ConnectLife (NYWN)
4.04
4.86
5.10
5.59
LifeShare of Oklahoma (OKOP)
4.48
4.93
5.06
5.32
Washington Regional Transplant
Community (DCTC)
4.37
4.88
5.03
5.31
OurLegacv - FL (FLFH)
4.32
4.80
4.93
5.20
Southwest Transplant Alliance
(TXSB)
4.27
4.57
4.65
4.81
Mid-America Transplant
Services (MOMA)
4.12
4.50
4.61
4.82
Donor Alliance (CORS)
3.95
4.41
4.55
4.81
LifeGift (TXGC)
4.15
4.44
4.52
4.69
3.73
4.32
4.50
4.84
Sierra Donor Services (CAGS)
Lifeshare Carolinas (NCCM)
3.77
4.30
4.46
4.76
Gift of Hope Organ & Tissue
Donor Network (ILIP)
4.08
4.36
4.45
4.60
Tennessee Donor Services
(TNDS)
3.94
4.25
4.34
4.51
VerDate Sep<11>2014
19:46 Dec 20, 2019
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E:\FR\FM\23DEP2.SGM
23DEP2
EP23DE19.059
lotter on DSKBCFDHB2PROD with PROPOSALS2
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
OPOName
Center for Organ Recovery and
Education (PATF)
LifeSource - MN (MNOP)
New Mexico Donor Services
(NMOP)
Legacy of Life - Hawaii (HIOP)
LifeCenter Organ Donor
Network (OHOV)
LifeCenter Northwest (W ALC)
New Jersey Sharing Network
(NJTO)
LifeBanc (OHLB)
LifeLink of Florida (FLWC)
Louisiana Organ Procurement
Agency (LAOP)
Life Alliance Organ Recovery
Agency (FLMP)
Lifeline of Ohio (OHLP)
Sharing Hope SC (SCOP)
Donor Network West (CADN)
OneLegacy (CAOP)
Pacific Northwest Transplant
Bank (ORUO)
Life Connection of Ohio
(OHLC)
Gift of Life Michigan (MIOP)
Texas Organ Sharing Alliance
(TXSA)
LifeLink of Georgia (GALL)
LifeQuest Organ Recovery
Services (FLUF)
New England Organ Bank
(MAOB)
Mid-South Transplant
Foundation (TNMS)
Carolina Donor Services
(NCNC)
LiveOnNY (NYRT)
VerDate Sep<11>2014
19:46 Dec 20, 2019
Jkt 250001
PO 00000
All
Organ
Donation
Rate
Upper
Bound of
Confidence
Interval
90%
Upper
Bound of
Confidence
Interval
95%
Upper
Bound of
Confidence
Interval
99%
3.85
3.68
4.21
4.05
4.31
4.17
4.51
4.38
3.32
3.06
3.97
3.86
4.16
4.11
4.55
4.59
3.35
3.68
3.93
4.00
4.10
4.10
4.44
4.28
3.61
3.54
3.62
3.97
3.94
3.96
4.08
4.06
4.06
4.28
4.29
4.25
3.59
3.95
4.05
4.26
3.55
3.40
3.39
3.43
3.47
3.91
3.83
3.76
3.69
3.69
4.02
3.95
3.87
3.77
3.75
4.23
4.19
4.08
3.92
3.88
3.14
3.54
3.65
3.88
2.94
3.31
3.48
3.57
3.65
3.64
3.97
3.79
3.19
3.27
3.53
3.53
3.63
3.60
3.83
3.75
3.12
3.49
3.60
3.81
3.26
3.52
3.59
3.74
2.91
3.41
3.56
3.86
2.93
2.96
3.22
3.20
3.30
3.27
3.46
3.40
Frm 00062
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E:\FR\FM\23DEP2.SGM
23DEP2
EP23DE19.060
lotter on DSKBCFDHB2PROD with PROPOSALS2
70688
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
OPOName
Indiana Donor Network (INOP)
Iowa Donor Network (IAOP)
Mississippi Organ Recovery
Agency (MSOP)
LifeNet Health (VATB)
LifeLink of Puerto Rico (PRLL)
LifeChoice Donor Services
(CTOP)
Center for Donation and
Transplant (NYAP)
Kentucky Organ Donor
Affiliates (KYDA)
Arkansas Regional Organ
Recovery Agency (AROR)
Legacy of Hope - Alabama
(ALOB)
Finger Lakes Donor Recovery
Network (NYFL)
All
Organ
Donation
Rate
2.78
2.43
Upper
Bound of
Confidence
Interval
90%
3.08
2.93
2.53
2.64
2.43
2.95
2.95
2.82
3.07
3.03
2.94
3.31
3.21
3.17
2.34
2.78
2.91
3.17
2.24
2.68
2.81
3.08
1.99
2.25
2.33
2.49
1.77
2.15
2.27
2.50
1.98
2.20
2.26
2.38
1.65
2.03
2.15
2.38
70689
Upper
Upper
Bound of
Bound of
Confidence Confidence
Interval
Interval
95%
99%
3.17
3.34
3.37
3.07
Table 16b. OPO Organ Transplantation Rates Compared at 90 Percent, 95 Percent
and 99 Percent Confidence Levels
Upper
Bound of
Confidence
Interval
95%
Upper
Bound of
Confidence
Interval
99%
19.44
20.77
21.14
21.86
18.92
20.05
20.37
20.98
19.11
17.24
17.03
19.99
18.47
18.33
20.24
18.82
18.70
20.72
19.49
19.40
16.97
17.74
17.96
18.38
TX
Rate
EP23DE19.062
OPOName
Lifesharing - A Donate Life
Organization (CASD)
Organ Procurement Organization at
the University of Wisconsin
(WIUW)
Midwest Transplant Network
(MWOB)
DonorConnect (UTOP)
Versiti (WIDN)
Donor Network of Arizona
(AZOB)
Upper
Bound of
Confidence
Interval
90%
VerDate Sep<11>2014
19:46 Dec 20, 2019
Jkt 250001
PO 00000
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E:\FR\FM\23DEP2.SGM
23DEP2
EP23DE19.061
lotter on DSKBCFDHB2PROD with PROPOSALS2
(Th res h o ld organ transp 1antat10n rate 1s
. 13 73)
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
OPOName
Nebraska Organ Recovery (NEOR)
The Living Legacy Foundation of
Maryland (MDPC)
Nevada Donor Network (NVL V)
Gift of Life Donor Program
(PADV)
Washington Regional Transplant
Community (DCTC)
OurLegacy - FL (FLFH)
Southwest Transplant Alliance
(TXSB)
LifeGift (TXGC)
Lifeshare Carolinas (NCCM)
Mid-America Transplant Services
(MOMA)
ConnectLife (NYWN)
LifeShare of Oklahoma (OKOP)
Gift of Hope Organ & Tissue
Donor Network (ILIP)
Louisiana Organ Procurement
Agency (LAOP)
Tennessee Donor Services (TNDS)
Sierra Donor Services (CAGS)
LifeSource - MN (MNOP)
Sharing Hope SC (SCOP)
Donor Alliance (CORS)
Donor Network West (CADN)
LifeBanc (OHLB)
Lifeline of Ohio (OHLP)
Center for Organ Recovery and
Education (PATF)
LifeCenter Northwest (W ALC)
Texas Organ Sharing Alliance
(TXSA)
LifeLink of Florida (FLWC)
OneLegacv (CAOP)
New Mexico Donor Services
(NMOP)
VerDate Sep<11>2014
19:46 Dec 20, 2019
Jkt 250001
PO 00000
Frm 00064
TX
Rate
16.13
Upper
Bound of
Confidence
Interval
90%
17.53
Upper
Bound of
Confidence
Interval
95%
17.93
Upper
Bound of
Confidence
Interval
99%
18.69
15.77
15.50
16.71
16.59
16.98
16.90
17.49
17.49
16.12
16.65
16.80
17.09
14.63
14.29
15.54
15.14
15.80
15.38
16.29
15.84
14.61
14.50
13.43
15.15
15.04
14.40
15.30
15.20
14.67
15.59
15.49
15.20
13.65
12.59
13.35
14.33
13.98
14.13
14.52
14.38
14.35
14.89
15.14
14.77
13.65
14.16
14.30
14.58
13.15
13.13
12.43
12.51
12.27
11.82
12.16
11.54
11.43
13.83
13.70
13.48
13.20
12.96
12.60
12.66
12.25
12.19
14.02
13.86
13.77
13.40
13.15
12.83
12.80
12.45
12.40
14.38
14.16
14.34
13.77
13.52
13.25
13.06
12.83
12.81
11.58
11.59
12.19
12.16
12.37
12.32
12.69
12.62
11.44
11.47
11.54
12.07
12.07
11.93
12.25
12.24
12.04
12.59
12.57
12.26
10.50
11.61
11.92
12.53
Fmt 4701
Sfmt 4725
E:\FR\FM\23DEP2.SGM
23DEP2
EP23DE19.063
lotter on DSKBCFDHB2PROD with PROPOSALS2
70690
OPOName
New Jersey Sharing Network
(NJTO)
LifeCenter Organ Donor Network
(OHOV)
Indiana Donor Network (INOP)
Life Alliance Organ Recovery
Agency (FLMP)
New England Organ Bank
(MAOB)
Carolina Donor Services (NCNC)
LifeQuest Organ Recovery
Services (FLUF)
LifeLink of Georgia (GALL)
Pacific Northwest Transplant Bank
(ORUO)
Gift of Life Michigan (MIOP)
Mid-South Transplant Foundation
(TNMS)
LiveOnNY (NYRT)
Legacy of Life - Hawaii (HIOP)
Life Connection of Ohio (OHLC)
LifeNet Health (VATB)
Mississippi Organ Recovery
Agency (MSOP)
Iowa Donor Network (IAOP)
LifeChoice Donor Services (CTOP)
Kentucky Organ Donor Affiliates
(KYDA)
LifeLink of Puerto Rico (PRLL)
Center for Donation and Transplant
(NYAP)
Legacy of Hope - Alabama
(ALOB)
Arkansas Regional Organ Recovery
Agency (AROR)
Finger Lakes Donor Recovery
Network (NYFL)
BILLING CODE 4120–01–C
By changing to a 99 percent CI, 24
OPOs were flagged for donation rates
compared with 33 OPOs (95 percent CI);
and, 35 OPOs were flagged for organ
transplantation rates compared with 36
VerDate Sep<11>2014
19:46 Dec 20, 2019
Jkt 250001
Upper
Bound of
Confidence
Interval
90%
Upper
Bound of
Confidence
Interval
95%
Upper
Bound of
Confidence
Interval
99%
11.09
11. 72
11.89
12.23
10.60
10.84
11.58
11.42
11.86
11.58
12.40
11.89
10.44
11.06
11.23
11.57
10.56
10.47
11.02
10.99
11.15
11.14
11.40
11.42
10.16
10.30
10.81
10.76
11.00
10.89
11.35
11.14
9.92
10.16
10.61
10.62
10.80
10.74
11.17
10.99
9.28
9.66
8.36
8.69
9.05
10.15
10.09
9.60
9.58
9.59
10.40
10.21
9.96
9.83
9.75
10.87
10.44
10.65
10.32
10.04
8.71
7.72
7.42
9.45
8.55
8.16
9.66
8.79
8.37
10.07
9.24
8.77
7.33
6.77
7.83
7.40
7.97
7.58
8.23
7.92
6.61
7.33
7.53
7.92
6.18
6.55
6.66
6.86
5.72
6.37
6.56
6.91
4.47
5.06
5.23
5.55
TX
Rate
OPOs being flagged (95 percent CI).
When we examined the effects of the 90
percent CI, the differences were even
less noticeable: For donation rates, 35
(90 percent CI) versus 33 (95 percent CI)
PO 00000
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and for transplantation rates, 38 (90
percent CI) versus 36 (95 percent CI).
E:\FR\FM\23DEP2.SGM
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lotter on DSKBCFDHB2PROD with PROPOSALS2
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
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Changing the Threshold Rates
median based on data from 2016 for
analyzing data from 2017.
BILLING CODE 4120–01–P
Table 17a. OPO Donation Rates Using Geometric Mean or Median Measures
(Threshold donation rates are 4.11 for the proposed measure, 3.54 for the median measure, and
3.40 for the geometric mean measure. OPOs flagged are in bolded italics.)
Upper Bound of CI
Donation
Geometric
Proposed
Median
Rate
Mean
OPOName
Organ Procurement Organization at
the University of Wisconsin
(WIUW)
5.65
6.45
6.45
6.45
Lifesharing - A Donate Life
Organization (CASD)
5.49
6.42
6.42
6.42
DonorConnect (UTOP)
5.22
6.12
6.12
6.12
Midwest Transplant Network
(MWOB)
5.35
5.96
5.96
5.96
Versiti (WIDN)
4.99
5.92
5.92
5.92
Nevada Donor Network (NVL V)
4.99
5.80
5.80
5.80
Gift of Life Donor Program
(PADV)
5.21
5.60
5.60
5.60
Donor Network of Arizona
(AZOB)
4.83
5.36
5.36
5.36
Nebraska Organ Recovery (NEOR)
4.34
5.33
5.33
5.33
The Living Legacy Foundation of
Maryland (MDPC)
4.51
5.17
5.17
5.17
ConnectLife (NYWN)
4.04
5.10
5.10
5.10
LifeShare of Oklahoma (OKOP)
4.48
5.06
5.06
5.06
Washington Regional Transplant
Community (DCTC)
4.37
5.03
5.03
5.03
4.32
4.93
4.93
4.93
OurLegacy - FL (FLFH)
Southwest Transplant Alliance
(TXSB)
4.27
4.65
4.65
4.65
Mid-America Transplant Services
(MOMA)
4.12
4.61
4.61
4.61
Donor Alliance (CORS)
3.95
4.55
4.55
4.55
LifeGift (TXGC)
4.15
4.52
4.52
4.52
3.73
4.50
4.50
4.50
Sierra Donor Services (CAGS)
Lifeshare Carolinas (NCCM)
3.77
4.46
4.46
4.46
Gift of Hope Organ & Tissue
Donor Network (ILIP)
4.08
4.45
4.45
4.45
3.94
4.34
4.34
4.34
Tennessee Donor Services (TNDS)
Center for Organ Recovery and
Education (PATF)
3.85
4.31
4.31
4.31
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lotter on DSKBCFDHB2PROD with PROPOSALS2
An alternative way to measure
success would be to change the
threshold rate by which OPOs are
measured. We examined the impact of
using a static, absolute threshold rate
based on the geometric mean and the
OPOName
LifeSource - MN (MNOP)
New Mexico Donor Services
(NMOP)
Legacy of Life - Hawaii (HIOP)
LifeCenter Organ Donor Network
(OHOV)
LifeCenter Northwest (W ALC)
New Jersey Sharing Network
(NJTO)
LifeBanc (OHLB)
LifeLink of Florida (FLWC)
Louisiana Organ Procurement
Agency (LAOP)
Life Alliance Organ Recovery
Agency (FLMP)
Lifeline of Ohio (OHLP)
Sharing Hope SC (SCOP)
Donor Network West (CADN)
OneLegacy (CAOP)
Pacific Northwest Transplant Bank
(ORUO)
Life Connection of Ohio (OHLC)
Gift of Life Michigan (MIOP)
Texas Organ Sharing Alliance
(TXSA)
LifeLink of Georgia (GALL)
LifeQuest Organ Recovery Services
(FLUF)
New England Organ Bank
(MAOB)
Mid-South Transplant Foundation
(TNMS)
Carolina Donor Services (NCNC)
LiveOnNY (NYRT)
Indiana Donor Network (INOP)
Iowa Donor Network (IAOP)
Mississippi Organ Recovery
Agency (MSOP)
LifeNet Health (VATB)
LifeLink of Puerto Rico (PRLL)
VerDate Sep<11>2014
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Donation
Rate
3.68
Fmt 4701
Upper Bound of CI
Geometric
Proposed
Median
Mean
4.17
4.17
4.17
3.32
3.06
4.16
4.11
4.16
4.11
4.16
4.11
3.35
3.68
4.10
4.10
4.10
4.10
4.10
4.10
3.61
3.54
3.62
4.08
4.06
4.06
4.08
4.06
4.06
4.08
4.06
4.06
3.59
4.05
4.05
4.05
3.55
3.40
3.39
3.43
3.47
4.02
3.95
3.87
3.77
3.75
4.02
3.95
3.87
3.77
3.75
4.02
3.95
3.87
3.77
3.75
3.14
2.94
3.31
3.65
3.65
3.64
3.65
3.65
3.64
3.65
3.65
3.64
3.19
3.27
3.63
3.60
3.63
3.60
3.63
3.60
3.12
3.60
3.60
3.60
3.26
3.59
3.59
3.59
2.91
2.93
2.96
2.78
2.43
3.56
3.30
3.27
3.17
3.07
3.56
3.30
3.27
3.17
3.07
3.56
3.30
3.27
3.17
3.07
2.53
2.64
2.43
3.07
3.03
2.94
3.07
3.03
2.94
3.07
3.03
2.94
Sfmt 4725
70693
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lotter on DSKBCFDHB2PROD with PROPOSALS2
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
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Upper Bound of CI
Geometric
Proposed
Median
Mean
2.91
2.91
2.91
2.24
2.81
2.81
2.81
1.99
2.33
2.33
2.33
1.77
2.27
2.27
2.27
1.98
2.26
2.26
2.26
1.65
2.15
2.15
2.15
EP23DE19.068
Table 17b. OPO Transplant Rates Using Geometric Mean or Median Measures
(Threshold transplant rates are 13. 73 for the proposed measure, 11.61 for the median measure,
and 11.25 for the geometric mean measure. OPOs flagged are in balded italics.)
Upper Bound of CI
Transplant
Geometric
Proposed
Median
Rate
Mean
OPOName
Lifesharing - A Donate Life
Organization (CASD)
19.44
21.14
21.14
21.14
Organ Procurement Organization at
the University of Wisconsin
(WIUW)
18.92
20.37
20.37
20.37
Midwest Transplant Network
(MWOB)
19.11
20.24
20.24
20.24
DonorConnect (UTOP)
17.24
18.82
18.82
18.82
Versiti (WIDN)
17.03
18.70
18.70
18.70
Donor Network of Arizona
(AZOB)
16.97
17.96
17.96
17.96
Nebraska Organ Recovery (NEOR)
16.13
17.93
17.93
17.93
The Living Legacy Foundation of
Maryland (MDPC)
15.77
16.98
16.98
16.98
Nevada Donor Network (NVL V)
15.50
16.90
16.90
16.90
Gift of Life Donor Program
(PADV)
16.12
16.80
16.80
16.80
Washington Regional Transplant
Community (DCTC)
14.63
15.80
15.80
15.80
OurLegacy - FL (FLFH)
14.29
15.38
15.38
15.38
Southwest Transplant Alliance
(TXSB)
14.61
15.30
15.30
15.30
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lotter on DSKBCFDHB2PROD with PROPOSALS2
OPOName
LifeChoice Donor Services (CTOP)
Center for Donation and Transplant
(NYAP)
Kentucky Organ Donor Affiliates
(KYDA)
Arkansas Regional Organ Recovery
Agency (AROR)
Legacy of Hope - Alabama
(ALOB)
Finger Lakes Donor Recovery
Network (NYFL)
Donation
Rate
2.34
OPOName
LifeGift (TXGC)
Lifeshare Carolinas (NCCM)
Mid-America Transplant Services
(MOMA)
ConnectLife (NYWN)
LifeShare of Oklahoma (OKOP)
Gift of Hope Organ & Tissue
Donor Network (ILIP)
Louisiana Organ Procurement
Agency (LAOP)
Tennessee Donor Services (TNDS)
Sierra Donor Services (CAGS)
LifeSource - MN (MNOP)
Sharing Hope SC (SCOP)
Donor Alliance (CORS)
Donor Network West (CADN)
LifeBanc (OHLB)
Lifeline of Ohio (OHLP)
Center for Organ Recovery and
Education (PATF)
LifeCenter Northwest (W ALC)
Texas Organ Sharing Alliance
(TXSA)
LifeLink of Florida (FLWC)
OneLegacy (CAOP)
New Mexico Donor Services
(NMOP)
New Jersey Sharing Network
(NJTO)
LifeCenter Organ Donor Network
(OHOV)
Indiana Donor Network (INOP)
Life Alliance Organ Recovery
Agency (FLMP)
New England Organ Bank
(MAOB)
Carolina Donor Services (NCNC)
LifeQuest Organ Recovery
Services (FLUF)
LifeLink of Georgia (GALL)
VerDate Sep<11>2014
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Transplant
Rate
14.50
13.43
Fmt 4701
Upper Bound of CI
Geometric
Proposed
Median
Mean
15.20
15.20
15.20
14.67
14.67
14.67
13.65
12.59
13.35
14.52
14.38
14.35
14.52
14.38
14.35
14.52
14.38
14.35
13.65
14.30
14.30
14.30
13.15
13.13
12.43
12.51
12.27
11.82
12.16
11.54
11.43
14.02
13.86
13.77
13.40
13.15
12.83
12.80
12.45
12.40
14.02
13.86
13.77
13.40
13.15
12.83
12.80
12.45
12.40
14.02
13.86
13.77
13.40
13.15
12.83
12.80
12.45
12.40
11.58
11.59
12.37
12.32
12.37
12.32
12.37
12.32
11.44
11.47
11.54
12.25
12.24
12.04
12.25
12.24
12.04
12.25
12.24
12.04
10.50
11.92
11.92
11.92
11.09
11.89
11.89
11.89
10.60
10.84
11.86
11.58
11.86
11.58
11.86
11.58
10.44
11.23
11.23
11.23
10.56
10.47
11.15
11.14
11.15
11.14
11.15
11.14
10.16
10.30
11.00
10.89
11.00
10.89
11.00
10.89
Sfmt 4725
70695
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lotter on DSKBCFDHB2PROD with PROPOSALS2
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
OPOName
Pacific Northwest Transplant Bank
(ORUO)
Gift of Life Michigan (MIOP)
Mid-South Transplant Foundation
(TNMS)
LiveOnNY (NYRT)
Legacy of Life - Hawaii (HIOP)
Life Connection of Ohio (OHLC)
LifeNet Health (VATB)
Mississippi Organ Recovery
Agency (MSOP)
Iowa Donor Network (IAOP)
LifeChoice Donor Services (CTOP)
Kentucky Organ Donor Affiliates
(KYDA)
LifeLink of Puerto Rico (PRLL)
Center for Donation and Transplant
(NYAP)
Legacy of Hope - Alabama
(ALOB)
Arkansas Regional Organ Recovery
Agency (AROR)
Finger Lakes Donor Recovery
Network (NYFL)
lotter on DSKBCFDHB2PROD with PROPOSALS2
BILLING CODE 4120–01–C
We are actively considering use of a
static, absolute threshold as a viable
alternative to use of a relative
performance metric, but question
whether this approach could
inadvertently incentivize all OPO
performances to move towards a static
threshold, thus decreasing total
donations and transplantations. We are
interested in robust public comments
that support or refute these concerns
and comments that list the potential
impacts, benefits, or consequences of
implementing this approach. We
specifically request that commenters
present data, studies, or other analysis
to support their recommendations. We
also seek comments on ways to
incentivize continual improvement of
all OPOs, including high performers and
low performers. Additionally, we are
interested in ways to ensure that the
rates for re-certification continue to be
based upon current performance and
appropriately reflect potential
improvements and changes in
VerDate Sep<11>2014
19:46 Dec 20, 2019
Jkt 250001
Transplant
Rate
Upper Bound of CI
Geometric
Proposed
Median
Mean
9.92
10.16
10.80
10.74
10.80
10.74
10.80
10.74
9.28
9.66
8.36
8.69
9.05
10.40
10.21
9.96
9.83
9.75
10.40
10.21
9.96
9.83
9.75
10.40
10.21
9.96
9.83
9.75
8.71
7.72
7.42
9.66
8.79
8.37
9.66
8.79
8.37
9.66
8.79
8.37
7.33
6.77
7.97
7.58
7.97
7.58
7.97
7.58
6.61
7.53
7.53
7.53
6.18
6.66
6.66
6.66
5.72
6.56
6.56
6.56
4.47
5.23
5.23
5.23
technology (such as the development of
an implantable, artificial kidney or
bioengineered pancreatic islet cells).
There were other alternatives that we
chose not to propose. We received
comment in response to our RFI that we
should consider using the deaths
referred from donor hospitals as our
donor potential. This approach could
rely on the regulatory requirement for
hospitals to report imminent deaths to
OPOs. We declined to propose this on
the basis of concerns regarding its
potential for inaccuracy. We believe that
this approach incorrectly places the
requirement to report an imminent
death solely on the donor hospital,
rather we believe this is a joint
responsibility shared with an OPO.
Another option suggested by some
members of the OPO community and
commenters in response to the RFI is
using donor/ventilated deaths for donor
potential. While we appreciate this
suggestion, there are no standardized
databases that would allow us to
determine the ventilator status of
PO 00000
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Fmt 4701
Sfmt 4702
deaths, and we are concerned this
approach incorrectly assigns ‘‘potential
donor’’ status solely based on the fact
that the patient is on a ventilator in an
ICU. This approach does not consider
the role of OPOs in educating donor
hospital staff about the range of
potential donors, such that resuscitation
efforts are sufficient and appropriate
referrals are made for organ donation,
even for older, single-organ donors.
Furthermore, asking hospitals to report
the ventilator status of inpatient deaths
or expecting OPOs to report that status
would create an additional burden for
all hospitals (not just transplant
hospitals or just OPOs) and is
inconsistent with our goals in proposing
these new performance measures: To
reduce the reporting burdens so that
resources can go towards increasing
organ donation and transplantation.
Also discussed in the preamble, we
recognize that the OPO in Hawaii is at
a considerable geographic disadvantage
for placement of all the organs it could
procure. As an alternative, we
E:\FR\FM\23DEP2.SGM
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considered measuring the performance
of the Hawaii OPO based solely on its
kidney donation and transplantation
rates, excluding other organs, because
Hawaii has a kidney transplant program,
yet has greater geographic barriers
associated with transporting the extrarenal organs outside of the DSA. These
tables show the effects of the kidney
donation and transplantation rates:
BILLING CODE 4120–01–P
OPOName
Organ Procurement
Organization at the
University of Wisconsin
(WIUW)
Lifesharing - A Donate Life
Organization (CASD)
(NVLV)
lotter on DSKBCFDHB2PROD with PROPOSALS2
Gift of Life Donor Program
(PADV)
Donor Network of Arizona
(AZOB)
Nebraska Organ Recovery
(NEOR)
The Living Legacy
Foundation of Maryland
(MDPC)
ConnectLife (NYWN)
LifeShare of Oklahoma
(OKOP)
Washington Regional
Transplant Community
(DCTC)
OurLegacy - FL (FLFH)
Southwest Transplant
Alliance (TXSB)
Mid-America Transplant
Services (MOMA)
Donor Alliance (CORS)
LifeGift (TXGC)
19:46 Dec 20, 2019
Jkt 250001
Kidney
Only
Donors
Kidney
Donation
Rate
Upper
Bound
of CI
Additional
Donors
Needed to
Reach
Cutoff
5.65
6.45
0
120
4.55
5.28
0
5.49
6.42
0
96
4.83
5.72
0
5.22
6.12
0
94
4.59
5.44
0
5.35
5.96
0
200
4.65
5.22
0
4.99
5.92
0
70
3.80
4.63
0
4.99
5.80
0
89
3.76
4.48
0
5.21
5.60
0
408
4.18
4.53
0
4.83
5.36
0
215
4.31
4.82
0
4.34
5.33
0
60
3.95
4.89
0
4.51
5.17
0
107
3.37
3.96
0
4.04
5.10
0
44
3.55
4.57
0
4.48
5.06
0
153
3.87
4.42
0
4.37
4.32
5.03
4.93
0
0
127
137
3.66
3.87
4.24
4.45
0
0
4.27
4.65
0
300
3.44
3.78
0
4.12
4.61
0
165
3.13
3.56
0
3.95
4.15
4.55
4.52
0
0
50
293
1.95
3.42
2.48
23
3.76
0
All Organ
Donation
Rate
DonorConnect (UTOP)
Midwest Transplant Network
(MWOB)
Versiti (WIDN)
Nevada Donor Network
VerDate Sep<11>2014
Upper
Bound
of CI
Additional
Donors
Needed to
Reach
Cutoff
PO 00000
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Table 18a. OPO Donation Rates for All Organs Compared to Kidneys Only with
Top 25 Percent Cutoff
(Threshold donation
. rate £or all donors IS
. 4 . 11 and £or kdn
. 3.45)
I
ev donors IS
Donors for Any Organs
Donors of Only Kidneys
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
Donors for Any Organs
OPOName
Sierra Donor Services
(CAGS)
Lifeshare Carolinas (NCCM)
Gift of Hope Organ & Tissue
Donor Network (ILIP)
Tennessee Donor Services
(TNDS)
Center for Organ Recovery
and Education (PATF)
LifeSource - MN (MNOP)
New Mexico Donor Services
(NMOP)
Legacy of Life - Hawaii
(HIOP)
lotter on DSKBCFDHB2PROD with PROPOSALS2
VerDate Sep<11>2014
19:46 Dec 20, 2019
Jkt 250001
Upper
Bound
ofCl
Additional
Donors
Needed to
Reach
Cutoff
Kidney
Only
Donors
Kidney
Donation
Rate
Upper
Bound
of Cl
Additional
Donors
Needed to
Reach
Cutoff
3.73
3.77
4.50
4.46
0
0
67
85
3.20
3.27
3.92
3.92
0
0
4.08
4.45
0
287
3.15
3.47
0
3.94
4.34
0
227
3.16
3.52
0
3.85
3.68
4.31
4.17
0
0
173
149
3.15
3.17
3.57
3.62
0
0
3.32
4.16
0
48
2.95
3.75
0
3.06
4.11
1
31
2.88
3.89
0
3.35
4.10
1
55
2.71
3.40
1
3.68
4.10
1
213
3.32
3.72
0
3.61
3.54
3.62
4.08
4.06
4.06
2
2
3
150
107
167
2.95
2.58
2.95
3.37
3.03
3.35
4
17
6
3.59
4.05
3
143
2.82
3.24
10
3.55
3.40
3.39
4.02
3.95
3.87
5
6
11
142
99
131
2.88
2.76
2.85
3.31
3.26
3.29
7
7
7
3.43
3.47
3.77
3.75
29
44
256
353
2.94
2.77
3.26
3.03
16
52
3.14
3.65
17
110
2.90
3.40
2
2.94
3.65
9
46
2.22
2.85
12
All Organ
Donation
Rate
LifeCenter Organ Donor
Network (OHOV)
LifeCenter Northwest
(WALC)
New Jersey Sharing Network
(NJTO)
LifeBanc (OHLB)
LifeLink of Florida (FLWC)
Louisiana Organ
Procurement Agency
(LAOP)
Life Alliance Organ
Recovery Agency (FLMP)
Lifeline of Ohio (OHLP)
Sharing Hope SC (SCOP)
Donor Network West
(CADN)
OneLegacy (CAOP)
Pacific Northwest Transplant
Bank(ORUO)
Life Connection of Ohio
(OHLC)
PO 00000
Donors of Only Kidneys
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Donors for Any Organs
OPOName
Gift of Life Michigan
(MIOP)
Texas Organ Sharing
Alliance (TXSA)
LifeLink of Georgia (GALL)
LifeQuest Organ Recovery
Services (FU.JF)
New England Organ Bank
(MAOB)
Mid-South Transplant
Foundation (TNMS)
Carolina Donor Services
(NCNC)
LiveOnNY (NYRT)
Indiana Donor Network
(INOP)
Iowa Donor Network (IAOP)
Mississippi Organ Recovery
Agency (MSOP)
LifeNet Health (VA TB)
LifeLink of Puerto Rico
(PRLL)
LifeChoice Donor Services
(CTOP)
Center for Donation and
Transplant (NYAP)
Kentucky Organ Donor
Affiliates (KYDA)
Arkansas Regional Organ
Recovery Agency (AROR)
Legacy of Hope - Alabama
(ALOB)
Finger Lakes Donor
Recovery Network (NYFL)
Totals
All Organ
Donation
Rate
Upper
Bound
of CI
Donors of Only Kidneys
Additional
Donors
Needed to
Reach
Cutoff
Kidney
Only
Donors
Kidney
Donation
Rate
Upper
Bound
of CI
Additional
Donors
Needed to
Reach
Cutoff
3.31
3.64
39
232
2.66
2.96
41
3.19
3.27
3.63
3.60
23
42
153
206
3.01
2.40
3.44
2.70
1
62
3.12
3.60
21
110
2.60
3.04
16
3.26
3.59
43
248
2.85
3.16
24
2.91
3.56
12
54
2.34
2.94
11
2.93
2.96
3.30
3.27
53
76
174
225
2.57
2.40
2.91
2.68
35
69
2.78
2.43
3.17
3.07
52
21
138
2.39
2.15
2.75
2.76
38
2.53
2.64
3.07
3.03
29
56
124
2.12
2.28
2.62
2.64
23
42
2.43
2.94
35
56
1.75
2.19
37
2.34
2.91
29
115
3.64
4.25
0
2.24
2.81
30
44
1.80
2.32
26
1.99
2.33
90
87
1.61
1.93
77
1.77
2.27
44
39
1.50
1.96
35
1.98
2.26
141
117
1.46
1. 70
133
1.65
2.15
45
1,015
33
8,030
1.33
1.78
38
886
46
62
14
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BILLING CODE 4120–01–C
BILLING CODE 4120–01–P
70700
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
Table 18b. OPO Organ Transplantation Rates for All Organs Compared to Kidneys
Only with Top 25 Percent Cutoff
(Threshold organ t ransp1lantati on rat e £or all organs 1s
. 13 73 and £or k1dneys 1s
. 6.67)
Donors for Any Organs
Additional
Organs
All Organ Upper Needed to Number of
Kidney
Upper
Transplant Bound
Reach
Kidneys
Transplant Bound
Additional Kidneys
Rate
of CI
Cutoff
Transplanted
of CI Needed to Reach Cutoff
Rate
0
9.37
10.58
0
232
8.79
9.81
0
0
380
8.84
9.63
0
18.82
18.70
0
0
181
134
8.84
7.27
10.00
8.39
0
0
16.97
17.96
0
411
8.23
8.94
0
16.13
17.93
0
114
7.50
8.77
0
15.77
16.98
0
200
6.31
7.09
0
(NVLV)
15.50
16.90
0
167
7.06
8.02
0
Gift of Life
Donor Program
(PADV)
16.12
16.80
0
778
7.96
8.45
0
VerDate Sep<11>2014
19.44
21.14
18.92
20.37
0
19.11
20.24
17.24
17.03
186
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OPOName
Lifesharing - A
Donate Life
Organization
(CASD)
Organ
Procurement
Organization at
the University
of Wisconsin
(WIUW)
Midwest
Transplant
Network
(MWOB)
DonorConnect
(UTOP)
Versiti (WIDN)
Donor Network
of Arizona
(AZOB)
Nebraska
Organ
Recovery
(NEOR)
The Living
Legacy
Foundation of
Maryland
(MDPC)
Nevada Donor
Network
Donors of Only Kidneys
OPOName
Washington
Regional
Transplant
Community
(DCTC)
OurLegacy - FL
(FLFH)
Southwest
Transplant
Alliance
(TXSB)
LifeGift
(TXGC)
Lifeshare
Carolinas
(NCCM)
Mid-America
Transplant
Services
(MOMA)
ConnectLife
(NYWN)
LifeShare of
Oklahoma
(OKOP)
Gift of Hope
Organ & Tissue
Donor Network
(ILIP)
Louisiana
Organ
Procurement
Agency
(LAOP)
Tennessee
Donor Services
lotter on DSKBCFDHB2PROD with PROPOSALS2
(TNDS)
VerDate Sep<11>2014
70701
Donors for Any Organs
Donors of Only Kidneys
Additional
Organs
All Organ Upper Needed to
Transplant Bound
Reach
Rate
of CI
Cutoff
Number of
Kidney
Upper
Kidneys
Transplant Bound
Additional Kidneys
Transplanted
of CI Needed to Reach Cutoff
Rate
14.63
15.80
0
223
7.06
7.89
0
14.29
15.38
0
252
7.12
7.90
0
14.61
15.30
0
570
6.53
7.00
0
14.50
15.20
0
548
6.39
6.86
0
13.43
14.67
0
160
6.16
7.02
0
13.65
14.52
0
312
5.92
6.51
9
12.59
14.38
0
85
6.86
8.22
0
13.35
14.35
0
284
7.18
7.92
0
13.65
14.30
0
535
5.87
6.31
32
13.15
14.02
0
271
5.34
5.91
37
13.13
13.86
0
426
5.93
6.42
18
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Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
Donors for Any Organs
lotter on DSKBCFDHB2PROD with PROPOSALS2
OPOName
Sierra Donor
Services
(CAGS)
LifeSource MN (MNOP)
Sharing Hope
SC (SCOP)
Donor Alliance
(CORS)
Donor Network
West(CADN)
LifeBanc
(OHLB)
Lifeline of Ohio
(OHLP)
Center for
Organ
Recovery and
Education
(PATF)
LifeCenter
Northwest
(WALC)
Texas Organ
Sharing
Alliance
(TXSA)
LifeLink of
Florida
(FLWC)
OneLegacy
(CAOP)
New Mexico
Donor Services
(NMOP)
New Jersey
Sharing
VerDate Sep<11>2014
Donors of Only Kidneys
Additional
Organs
Kidney
Upper
All Organ Upper Needed to Number of
Transplant Bound
Reach
Kidneys
Transplant Bound
Additional Kidneys
Rate
of CI
Cutoff
Transplanted
of CI Needed to Reach Cutoff
Rate
12.43
13.77
0
128
6.12
7.09
0
12.51
13.40
16
286
6.08
6.70
0
12.27
13.15
26
253
5.50
6.11
25
11.82
12.83
31
246
7.09
7.88
0
12.16
12.80
80
487
5.60
6.03
54
11.54
12.45
52
199
4.80
5.39
51
11.43
12.40
46
186
5.19
5.86
28
11.58
12.37
73
324
5.89
6.46
12
11.59
12.32
88
393
6.13
6.67
1
11.44
12.25
73
287
5.65
6.23
22
11.47
12.24
82
312
5.51
6.05
34
11.54
12.04
210
668
5.25
5.60
133
10.50
11.92
28
91
5.59
6.65
1
11.09
11.89
91
286
5.62
6.19
24
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23DEP2
EP23DE19.076
70702
OPOName
Network
(NJTO)
LifeCenter
Organ Donor
Network
(OHOV)
Indiana Donor
Network
(INOP)
Life Alliance
Organ
Recovery
Agency
(FLMP)
New England
Organ Bank
(MAOB)
Carolina Donor
Services
(NCNC)
LifeQuest
Organ
Recovery
Services
(FLUF)
LifeLink of
Georgia
(GALL)
Pacific
Northwest
Transplant
Bank(ORUO)
Gift of Life
Michigan
(MIOP)
Donors for Any Organs
Donors of Only Kidneys
Additional
Organs
All Organ Upper Needed to
Transplant Bound
Reach
Rate
of CI
Cutoff
Number of
Kidney
Upper
Kidneys
Transplant Bound
Additional Kidneys
Transplanted
of CI Needed to Reach Cutoff
Rate
10.60
11.86
36
98
4.83
5.71
18
10.84
11.58
121
254
4.39
4.87
100
10.44
11.23
119
268
5.44
6.01
31
10.56
11.15
219
460
5.28
5.70
82
10.47
11.14
171
331
4.88
5.35
86
10.16
11.00
112
205
4.84
5.44
50
10.30
10.89
238
383
4.47
4.86
150
9.92
10.80
107
209
5.51
6.18
18
10.16
10.74
255
421
4.82
5.22
122
9.28
10.40
73
103
4.47
5.26
31
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Mid-South
Transplant
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Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
70704
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
Donors for Any Organs
Additional
Organs
Kidney
Upper
All Organ Upper Needed to Number of
Transplant Bound
Reach
Kidneys
Transplant Bound
Additional Kidneys
Rate
of CI
Cutoff
Transplanted
of CI Needed to Reach Cutoff
Rate
(NYRn
lotter on DSKBCFDHB2PROD with PROPOSALS2
Legacy of Life
-Hawaii
(HIOP)
Life
Connection of
Ohio(OHLC)
LifeNet Health
(VATB)
Mississippi
Organ
Recovery
Agency
(MSOP)
Iowa Donor
Network
(IAOP)
LifeChoice
Donor Services
(CTOP)
Kentucky
Organ Donor
Affiliates
(KYDA)
LifeLink of
Puerto Rico
(PRLL)
Center for
Donation and
Transplant
(NYAP)
Legacy of Hope
-Alabama
(ALOB)
VerDate Sep<11>2014
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9.66
10.21
323
431
4.59
4.97
154
8.36
9.96
38
61
5.66
7.01
0
8.69
9.83
77
84
4.05
4.86
35
9.05
9.75
210
235
4.31
4.81
97
8.71
9.66
114
119
4.07
4.73
53
7.72
8.79
100
87
4.07
4.87
36
7.42
8.37
131
90
3.51
4.19
60
7.33
7.97
300
171
3.17
3.60
157
6.77
7.58
189
101
3.15
3.72
89
6.61
7.53
145
83
3.39
4.06
60
6.18
6.66
551
221
2.75
3.08
276
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EP23DE19.078
OPOName
Foundation
(TNMS)
LiveOnNY
Donors of Only Kidneys
70705
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
Donors for Any Organs
OPOName
Arkansas
Regional Organ
Recovery
Agency
(AROR)
Finger Lakes
Donor
Recovery
Network
(NYFL)
Totals
Donors of Only Kidneys
Additional
Organs
All Organ Upper Needed to
Number of
Kidney
Upper
Transplant Bound
Reach
Kidneys
Transplant Bound
Additional Kidneys
Rate
of CI
Cutoff
Transplanted
of CI Needed to Reach Cutoff
Rate
5.72
6.56
178
73
2.80
3.41
79
4.47
5.23
200
4,903
61
15,144
2.45
3.04
84
BILLING CODE 4120–01–C
Using just these measures, the Hawaii
OPO would be in the top 25 percent for
both kidney donation rates and kidney
transplantation rates. If we were to use
our proposed measure to assess the
Hawaii OPO’s performance, it would
need one additional donor and 38
additional organs transplanted to meet
the threshold rate for the top 25 percent
of rates. The reason we did not propose
this approach for assessing the Hawaii
OPO is that we are aware of newer
technologies that could significantly
reduce the clinical impact of prolonged
transport of extra-renal organs and
would prefer a policy that encourages
the innovation and adoption of these
types of technologies for the benefit of
all potential recipients. We are seeking
comments on this alternative or any
other approach that would accurately
measure the performance of the Hawaii
OPO, such as a phased approach to
implementing our new measures.
In analyzing all these different
alternatives, we recognize that there
were many OPOs whose performance is
in the top 25 percent, regardless of
which methodology was used. These
2,349
OPOs are truly high performers and
should be the models for the other
OPOs. We encourage those OPOs to
continue to strive to be top performers
and encourage the widespread uptake of
best practices. In summary, we welcome
comments both on the comparative
advantages and disadvantages of
alternatives within the scope of this
proposed rule, and suggestions for other
alternatives that could be addressed in
subsequent rule-makings or
administrative actions to further
improve performance of the organ
donation and transplantation system.
H. Accounting Statement and Table
As required by OMB Circular A–4
(available at https://
www.whitehouse.gov/sites/
whitehouse.gov/files/omb/circulars/A4/
a-4.pdf), in Table 18, we have prepared
an accounting statement showing the
classification of the benefits, transfers,
and costs that we estimate will arise
from the reforms if this proposed rule is
adopted.
These reforms will create substantial
out-year effects, and the annualized
estimates provided in this table display
the effects that are expected over the
next 5 years, rather than over a longer
period of time. The performance
uncertainties, technology uncertainties,
and future policy uncertainties are so
great that we are reluctant to project
farther into the future. This means,
however, that the Accounting Table
estimates do not include very
substantial out-year benefits to patients
and savings to the ESRD program that
will occur outside the five-year
estimating window. Also, the effects of
this proposed rule on organ recovery
and transplantation are of unusual
uncertainty even in the short run. The
upper bound for benefit and cost
reduction estimates are as discussed
elsewhere in this regulatory impact
analysis. We welcome comments on the
estimates made in this proposed rule
and on ways to improve their
calculation or presentation.
The rule generates a cluster of
interrelated effects, so we are treating
the increase in health care expenditures
as ‘‘negative benefits’’ for purposes of
the Accounting Table.
TABLE 19—ACCOUNTING STATEMENT: CLASSIFICATION OF ESTIMATED BENEFITS, TRANSFERS, AND COSTS
Units
Primary
estimate
Category
Benefits:
Health Benefits Annualized Monetized ($million/year) .......................
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estimate
........................
........................
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High
estimate
<0
<0
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Year
dollars
698
769
E:\FR\FM\23DEP2.SGM
2017
2017
23DEP2
Discount
rate
(percent)
Period
covered
7
3
2021–2025
2021–2025
EP23DE19.079
lotter on DSKBCFDHB2PROD with PROPOSALS2
[$ millions]
70706
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
TABLE 19—ACCOUNTING STATEMENT: CLASSIFICATION OF ESTIMATED BENEFITS, TRANSFERS, AND COSTS—Continued
[$ millions]
Units
Primary
estimate
Category
Medical Expenditure Annualized
Monetized ($million/year) ..............
Low
estimate
........................
........................
High
estimate
¥923
¥996
>0
>0
Discount
rate
(percent)
Year
dollars
2017
2017
Period
covered
7
3
2021–2025
2021–2025
Benefits Notes: Because increased transplant activity imposes costs upfront but yields savings over time, a longer time horizon would show
medical expenditure impacts falling in magnitude, potentially to the point of being exceeded by longevity benefits.
Costs:
Annualized Monetized ($million/year)
........................
........................
0.477
0.445
........................
........................
2017
2017
7
3
2021–2025
2021–2025
Cost Notes: Transition costs in the event of OPO decertification have not been estimated.
Transfers ...........................................
None quantified
I. Reducing Regulation and Controlling
Regulatory Costs
Executive Order 13771 (January 30,
2017) requires that the costs associated
with significant new regulations ‘‘to the
extent permitted by law, be offset by the
elimination of existing costs associated
with at least two prior regulations.’’
This proposed rule has been designated
a significant regulatory action as defined
by Executive Order 12866, and, if
finalized as proposed, is expected to be
an E.O. 13771 regulatory action.
J. Conclusion
This proposed rule would
substantially reform the incentives
facing OPOs and as a result,
substantially increase organ
procurement and transplants over time
for all organs, while reducing
continuing costs for dialysis and other
treatments for patients with severe
kidney disease. Because organ
transplants are life-saving and lifeextending events, we believe that these
benefits to patients will be far more
consequential than the effects on
medical treatments and costs. Our
expectation is that the numbers of lives
saved or extended will be many
thousands each year, as estimated in the
preceding analysis.
In accordance with the provisions of
Executive Order 12866, this regulation
was reviewed by the Office of
Management and Budget.
List of Subjects in 42 CFR Part 486
Medicare, Organ procurement, and
Definitions.
For the reasons set forth in the
preamble, the Centers for Medicare &
Medicaid Services proposes to amend
42 CFR chapter IV, part 486, as set forth
below:
PART 486—CONDITIONS FOR
COVERAGE OF SPECIALIZED
SERVICES FURNISHED BY
SUPPLIERS
1. The authority citation for part 486
continues to read as follows:
■
Authority: 42 U.S.C. 1302 and 1395hh.
2. Section 486.302 is amended by—
a. Adding definitions for ‘‘Death that
is not an absolute contraindication to
organ donation’’ and ‘‘Donation rate’’;
■
■
Tuberculosis .............................................................................................
Other bacterial diseases ..........................................................................
lotter on DSKBCFDHB2PROD with PROPOSALS2
Viral infections of the central nervous system ......................................
Viral infections characterized by skin and mucous membrane lesions
Human immunodeficiency virus [HIV] disease ....................................
Sequelae of infectious and parasitic diseases ........................................
Malignant neoplasms of lip, oral cavity and pharynx ..........................
Malignant neoplasms of digestive organs ..............................................
Malignant neoplasms of respiratory and intrathoracic organs .............
Melanoma and other malignant neoplasms of skin ..............................
Malignant neoplasms of bone and articular cartilage ...........................
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b. Revising the definition of ‘‘Donor’’;
■ c. Adding a definition for ‘‘Donor
potential’’;
■ d. Removing the definitions of
‘‘Eligible death’’, ‘‘Eligible donor’’, and
‘‘Expected donation rate’’;
■ e. Adding a definition for ‘‘Lowest rate
among the top 25 percent’’;
■ f. Removing the definition of
‘‘Observed donation rate’’;
■ g. Revising the definition of ‘‘Organ’’;
■ h. Adding a definition for ‘‘Organ
transplantation rate’’’ and
■ i. Removing the definition of
‘‘Standard criteria donor (SCD)’’.
The additions and revisions read as
follows:
■
§ 486.302
Definitions.
*
*
*
*
*
Death that is not an absolute
contraindication to organ donation
means all deaths from the state death
certificates except those with any cause
of death identified by the specific ICD–
10 codes that would preclude donation
under any circumstance.
all.
A39 Meningococcal infection.
A40 Streptococcal septicaemia.
A41 Other septicaemia.
A82 Rabies.
B03 Smallpox.
B20 Human immunodeficiency virus [HIV] disease with infectious
and parasitic diseases.
B21 Human immunodeficiency virus [HIV] disease with malignant
neoplasms.
B90 Sequelae of tuberculosis.
all.
all.
all.
C43 Malignant melanoma of skin.
all.
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Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 / Proposed Rules
Melanoma and other malignant neoplasms of skin ..............................
Malignant neoplasms of methothelial and soft tissue ..........................
Malignant neoplasm of breast .................................................................
Malignant neoplasms of female genital organs .....................................
Malignant neoplasms of male genital organs ........................................
Malignant neoplasms of thyroid and other endocrine glands ..............
Malignant neoplasms of ill-defined, secondary and unspecified sites
Malignant neoplasms of lymphoid, haematopoietic and related tissue
Malignant neoplasms of independent (primary) multiple sites ...........
Neoplasms of uncertain or unknown behavior .....................................
Coagulation defects, purpura and other haemorrhagic conditions ......
Metabolic disorders .................................................................................
Infections specific to the perinatal period .............................................
all.
all.
all.
all.
all.
all.
all.
all.
all.
D44 Neoplasm of uncertain or unknown behaviour of endocrine
glands.
D46 Meylodysplastic syndromes.
D47 Other neoplasms of uncertain or unknown behavior of lymphoid, haematopietic and related tissue.
D48 Neoplasms of uncertain or unknown behavior of other and unspecified sites.
D65 Disseminated intravascular coagulation [defibrination syndrome].
D69 Purpura and other haemorrhagic conditions.
E84 Cystic fibrosis.
P36 Bacterial sepsis of newborn.
*
lotter on DSKBCFDHB2PROD with PROPOSALS2
*
*
*
*
Donation rate is the number of donors
as a percentage of the donor potential.
*
*
*
*
*
Donor means a deceased individual
from whom at least one vascularized
organ (heart, liver, lung, kidney,
pancreas, or intestine) is transplanted.
An individual also would be considered
a donor if only the pancreas is procured
and is used for research or islet cell
transplantation.
*
*
*
*
*
Donor potential is the number of
inpatient deaths within the DSA among
patients 75 and younger with any cause
of death that is not an absolute
contraindication to organ donation.
*
*
*
*
*
Lowest rate among the top 25 percent
will be calculated by taking the number
of total OPOs in the time period
identified for establishing the threshold
rate. That number will be multiplied by
0.25 and rounded to the closest integer
(0.5 will round to the higher integer).
The donation rates and organ
transplantation rates will be separately
ranked and the threshold rate will be
the rate that corresponds to the integer
when counting down the ranking.
*
*
*
*
*
Organ means a human kidney, liver,
heart, lung, pancreas, or intestine (or
multivisceral organs when transplanted
at the same time as an intestine). The
pancreas counts as an organ even if it is
used for research or islet cell
transplantation.
Number of
organs
transplanted
Organ type
Right or Left Kidney ............................
Right and Left Kidney .........................
Double/En-Bloc Kidney .......................
Heart ....................................................
Intestine ...............................................
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1
2
2
1
1
Number of
organs
transplanted
Organ type
Intestine Segment 1 or Segment 2 .....
Intestine Segment 1 and Segment 2 ..
Liver .....................................................
Liver Segment 1 or Segment 2 ...........
Liver Segments 1 and Segment 2 ......
Right or Left Lung ...............................
Right and Left Lung ............................
Double/En-bloc Lung ...........................
Pancreas (transplanted whole, research, islet transplant) ...................
Pancreas Segment 1 or Segment 2 ...
Pancreas Segment 1 and Segment 2
1
2
1
1
2
1
2
2
1
1
2
Organ transplantation rate is the
number of organs transplanted from
donors in the DSA as a percentage of the
donor potential.
*
*
*
*
*
■ 3. Section 486.316 is amended by
revising paragraphs (a)(1) and (2), (b),
(c), and (d) introductory text to read as
follows:
§ 486.316 Re-certification and competition
processes.
(a) * * *
(1) Meets the performance
requirements of the outcome measures
at § 486.318 at the end of the
certification cycle; and
(2) Has been shown by survey to be
in compliance with the requirements for
certification at § 486.303, including the
conditions for coverage at §§ 486.320
through 486.360.
(b) De-certification and competition. If
an OPO does not meet the performance
requirements of the outcome measures
as described in paragraph (a)(1) of this
section at the final assessment prior to
the end of the re-certification cycle or
the requirements described in paragraph
(a)(2) of this section the OPO is decertified. If the OPO does not appeal or
the OPO appeals and the
reconsideration official and CMS
hearing officer uphold the de-
PO 00000
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certification, the OPO’s service area is
opened for competition from other
OPOs. The de-certified OPO is not
permitted to compete for its open area
or any other open area. An OPO
competing for an open service area must
submit information and data that
describe the barriers in its service area,
how they affected organ donation, what
steps the OPO took to overcome them,
and the results.
(c) Criteria to compete. To compete
for an open service area, an OPO must
meet the performance requirements of
the outcome measures at § 486.318 and
the requirements for certification at
§ 486.303, including the conditions for
coverage at §§ 486.320 through 486.360.
The OPO must compete for the entire
service area.
(d) Criteria for selection. CMS will
consider the following criteria in
designating an OPO for an open service
area:
*
*
*
*
*
■ 4. Section 486.318 is revised to read
as follows:
§ 486.318
Condition: Outcome measures.
(a) Outcome measures. An OPO is
evaluated by measuring the donation
rate and the organ transplantation rate
in their DSA.
(1) The donation rate is calculated as
the number of donors in the DSA as a
percentage of the donor potential.
(2) The organ transplantation rate is
calculated as the number of organs
transplanted from organs procured in
the DSA as a percentage of the donor
potential.
(3) The numerator of donors and
organs transplanted is based on the data
submitted to the OPTN as required in
§ 486.328 and/or 42 CFR 121.11.
(4) The denominator is the donor
potential and is based on inpatient
deaths within the DSA from patients 75
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or younger with any cause of death that
is an absolute contraindication to organ
donation. The data is obtained from the
most recent 12 months data from state
death certificates.
(5) These outcome measures will be
effective beginning with the 2022 recertification cycle.
(b) OPO performance on outcome
measures. An OPO must demonstrate a
success rate on the outcome measures in
accordance with the following
parameters and requirements:
(1) For the assessment period, a
threshold rate will be established based
on the lowest rate among the top 25
percent of donation rates during the 12month period immediately prior to the
period being evaluated.
(2) For the assessment period, a
threshold rate will be established based
on the lowest rate among the top 25
percent of organ transplantation rates
during the 12-month period prior to the
period being evaluated.
(3) The 95 percent confidence interval
for each OPO will be calculated using a
one-sided test.
(4) OPOs whose upper limit of the
one-sided 95 percent confidence
interval is less than the threshold rate
established will be flagged.
(c) Assessment and data for the
outcome measures. (1) An OPO’s
performance on the outcome measures
is based on an assessment at least every
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12 months with the most recent 12
months of data from the OPTN and state
death certificates, beginning December
31 of the first year of the re-certification
cycle and ending December 31, prior to
the end of the re-certification cycle.
(2) If an OPO’s performance falls
below the outcome measure described
in paragraph (b) of this section prior to
the last cycle before the end of the
certification period, the OPO must meet
the requirements of § 486.348(d)(3).
(3) If an OPO takes over another
OPO’s service area on a date later than
January 1 of the first year of the recertification cycle so that 12 months of
data are not available to evaluate the
OPO’s performance in its new service
area, we will not hold the OPO
accountable for its performance in the
new area until 12 months of data are
available.
§ 486.328
[Amended]
5. Section 486.328 is amended—
a. In paragraph (a) introductory text by
removing the word ‘‘Beneficiaries’’ and
adding in its place the word
‘‘Recipients’’ and by removing the
acronym ‘‘DHHS’’ and adding in its
place the acronym ‘‘HHS’’.
■ b. By removing and reserving
paragraph (a)(4); and
■ c. In paragraph (a)(7), by removing,
the word ‘‘eligible’’.
■ 6. Section 486.348 is amended by
adding paragraph (d) to read as follows:
■
■
PO 00000
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§ 486.348 Condition: Quality assessment
and performance improvement (QAPI).
*
*
*
*
*
(d) Standard: Review of outcome
measures. (1) An OPO must include a
process to review its performance on the
outcome measure requirements at
§ 486.318. The process must be a
continuous activity to improve
performance.
(2) An OPO must incorporate data on
the outcome measures into their QAPI
program.
(3) If the outcome measure at each
assessment cycle, except the final
assessment before re-certification, is
statistically significantly lower than the
top 25 percent of donation rates or organ
transplantation rates, the OPO must
identify opportunities for improvement
and implement changes that lead to
improvement in these measures.
Dated: September 27, 2019.
Seema Verma,
Administrator, Centers for Medicare &
Medicaid Services.
Dated: November 7, 2019
Alex M. Azar II,
Secretary, Department of Health and Human
Services.
Note: The following appendix will not
appear in the Code of Federal Regulations.
BILLING CODE 4120–01–P
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Donation Rate by OPO
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[FR Doc. 2019–27418 Filed 12–17–19; 4:15 pm]
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BILLING CODE 4120–01–C
Agencies
[Federal Register Volume 84, Number 246 (Monday, December 23, 2019)]
[Proposed Rules]
[Pages 70628-70710]
From the Federal Register Online via the Government Publishing Office [www.gpo.gov]
[FR Doc No: 2019-27418]
[[Page 70627]]
Vol. 84
Monday,
No. 246
December 23, 2019
Part II
Department of Health and Human Services
-----------------------------------------------------------------------
Centers for Medicare & Medicaid Services
-----------------------------------------------------------------------
42 CFR Part 486
Medicare and Medicaid Programs; Organ Procurement Organizations
Conditions for Coverage: Revisions to the Outcome Measure Requirements
for Organ Procurement Organization; Proposed Rule
Federal Register / Vol. 84, No. 246 / Monday, December 23, 2019 /
Proposed Rules
[[Page 70628]]
-----------------------------------------------------------------------
DEPARTMENT OF HEALTH AND HUMAN SERVICES
Centers for Medicare & Medicaid Services
42 CFR Part 486
[CMS-3380-P]
RIN 0938-AU02
Medicare and Medicaid Programs; Organ Procurement Organizations
Conditions for Coverage: Revisions to the Outcome Measure Requirements
for Organ Procurement Organization
AGENCY: Centers for Medicare & Medicaid Services (CMS), HHS.
ACTION: Proposed rule.
-----------------------------------------------------------------------
SUMMARY: This proposed rule would revise the Organ Procurement
Organization (OPO) Conditions for Coverage (CfCs) to increase donation
rates and organ transplantation rates by replacing the current measures
with new transparent, reliable, and objective measures.
DATES: To be assured consideration, comments must be received at one of
the addresses provided below, no later than 5 p.m. EST on February 21,
2020.
ADDRESSES: In commenting, please refer to file code CMS-3380-P when
commenting on the issues in this proposed rule. 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 (and we encourage you to) submit
electronic comments on this regulation to https://www.regulations.gov.
Follow the instructions under the ``submit a comment'' tab.
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-3380-P, P.O. Box 8010,
Baltimore, MD 21244-1850.
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 via
express or overnight mail to the following address ONLY: Centers for
Medicare & Medicaid Services, Department of Health and Human Services,
Attention: CMS-3380-P, Mail Stop C4-26-05, 7500 Security Boulevard,
Baltimore, MD 21244-1850.
b. For delivery in Baltimore, MD--Centers for Medicare & Medicaid
Services, Department of Health and Human Services, 7500 Security
Boulevard, Baltimore, MD 21244-1850.
For information on viewing public comments, we refer readers to the
beginning of the SUPPLEMENTARY INFORMATION section.
FOR FURTHER INFORMATION CONTACT: Diane Corning (410) 786-8486, Eric
Laib (410) 786-9759, Jesse Roach (410) 786-1000, Alpha-Banu Wilson
(410) 786-8687, or CAPT Hui-Hsing Wong (410) 786-9007.
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.
I. Background
A. The Importance of Organ Procurement Organizations and the Need To
Reform the Organ Procurement System
Organ procurement organizations (OPOs) are vital partners in the
procurement, distribution, and transplantation of human organs in a
safe and equitable manner for all potential transplant recipients. The
role of OPOs is critical to ensuring that the maximum possible number
of transplantable human organs is available to seriously ill people who
are on a waiting list for an organ transplant. There are currently 58
OPOs that are responsible for identifying eligible donors and
recovering organs from deceased donors in the United States (U.S.).
Therefore, OPO performance is a critical element of the organ
transplantation system in the U.S.
As of September 2019, a total of 112,846 people were on the waiting
lists for a lifesaving organ transplant.\1\ Many people face tremendous
quality of life burdens or even death while on the waiting list. An OPO
that is efficient in procuring organs and delivering them to recipients
will help more people on the waiting list receive lifesaving organ
transplants, which could ultimately save more lives.
---------------------------------------------------------------------------
\1\ Organ Procurement and Transplantation Network (OPTN) Data.
https://optn.transplant.hrsa.gov/data/.
---------------------------------------------------------------------------
Given OPOs' important role in the organ donation system in the
U.S., some stakeholders have argued that underperformers have faced few
consequences for poor performance. These stakeholders, mainly from
advocacy organizations, have noted that ``Performance varies across the
OPO network, with many persistent underperformers failing to improve
over the last decade.'' \2\ They further note that there are serious
negative impacts to both organ transplantation and donation when OPOs
are underperforming, in that ``[w]hen OPOs are inefficient or
ineffective, donor hospitals are reluctant to refer potential donors,
and transplant centers have fewer organ offers for patients on the
waiting list. The end result is a bottleneck within the system that
leads to avoidable deaths and increased national health care
spending.'' \3\
---------------------------------------------------------------------------
\2\ The Bridgespan Group. Reforming Organ Donation in America.
https://www.bridgespan.org/bridgespan/Images/articles/reforming-organ-donation-in-america/reforming-organ-donation-in-america-12-2018.pdf.
\3\ ORGANIZE. Organ Donation Reform Report. 2019.
---------------------------------------------------------------------------
Some stakeholders, including members of the OPO industry, agree
that the OPO outcome measures should be reformed. Some of these
stakeholders note that ``[e]xisting regulations need dramatic
improvement to remove perverse incentives to organ procurement (for
example, OPOs are evaluated on the number of organs procured per donor,
which leads to older single-organ donors being overlooked) and increase
continuous performance accountability.'' \4\ Reforming the outcome
measures can be achieved, they indicated, through metrics that improve
accountability and ``by replacing current ineffective metrics for OPO
performance with a simplified transparent metric that enables
independent performance measurement.'' \5\
---------------------------------------------------------------------------
\4\ The Bridgespan Group. Reforming Organ Donation in America.
https://www.bridgespan.org/bridgespan/Images/articles/reforming-organ-donation-in-america/reforming-organ-donation-in-america-12-2018.pdf.
\5\ The Bridgespan Group. Reforming Organ Donation in America.
https://www.bridgespan.org/bridgespan/Images/articles/reforming-organ-donation-in-america/reforming-organ-donation-in-america-12-2018.pdf.
---------------------------------------------------------------------------
Based on public feedback and our own internal analysis of organ
donation and transplantation rates, we agree that the current OPO
outcome measures are not sufficiently objective and transparent to
ensure public trust in assessing OPO performance, nor do they properly
incentivize the adoption of
[[Page 70629]]
best practices and optimization of donation and organ placement rates.
B. Statutory and Regulatory Provisions
To be an OPO, an entity must meet the applicable requirements of
both the Social Security Act (the Act) and the Public Health Service
Act (the PHS Act). Section 1138(b) of the Act provides the statutory
qualifications and requirements that an OPO must meet in order for
organ procurement costs to be paid under the Medicare program or the
Medicaid program. Section 1138(b)(1)(A) of the Act specifies that
payment may be made for organ procurement costs only if the agency is a
qualified OPO operating under a grant made under section 371(a) of the
PHS Act or has been certified or re-certified by the Secretary of the
Department of Health and Human Services (the Secretary) as meeting the
standards to be a qualified OPO within a certain time period. Section
1138(b)(1)(C) of the Act provides that payment may be made for organ
procurement costs ``only if'' the OPO meets the performance-related
standards prescribed by the Secretary. Section 1138(b)(1)(F) of the Act
requires that to receive payment under the Medicare program or the
Medicaid program for organ procurement costs, the entity must be
designated by the Secretary. The requirements for such designation are
set forth in 42 CFR 486.304 and include being certified as a qualified
OPO by CMS.
Pursuant to section 371(b)(1)(D)(ii)(II) of the PHS Act, the
Secretary is required to establish outcome and process performance
measures for OPOs to meet based on empirical evidence, obtained through
reasonable efforts, of organ donor potential and other related factors
in each service area of the qualified OPO. Section 1138(b)(1)(D) of the
Act requires an OPO to be a member of, and abide by the rules and
requirements of, the Organ Procurement and Transplantation Network
(OPTN). OPOs must also comply with the regulations governing the
operation of the OPTN (42 CFR part 121). The Department has explained
that only those policies approved by the Secretary will be considered
``rules and requirements'' of the OPTN for purposes of section 1138 of
the Act. The OPTN is a membership organization that links all
professionals in the U.S. organ donation and transplantation system.
Currently, the United Network for Organ Sharing (UNOS) serves as the
OPTN under contract. OPOs are required under the OPTN final rule (42
CFR 121.11(b)(2)) and 42 CFR 486.328 of the OPO Conditions for Coverage
(CfCs) to report specific information to the OPTN, including the data
used to calculate the outcome measures for OPOs.
In addition, OPOs are required to comply with Section 504 of the
Rehabilitation Act of 1973, 29 U.S.C. 794, and section 1557 of the
Patient Protection and Affordable Care Act, 42 U.S.C. 18116, which
protects qualified individuals with a disability, including prospective
organ recipients with a disability and prospective organ donors with a
disability, from unlawful discrimination in the administration of organ
transplant programs. Under these laws, OPOs must ensure that qualified
individuals with a disability are afforded opportunities to participate
in or benefit from the organ transplant program that are equal to
opportunities afforded others. Decisions to approve or deny organ
transplants must be made based on objective facts related to the
individual in question. ``Individuals with disabilities are also
entitled to reasonable accommodations needed to participate in and
benefit from a program, and auxiliary aids and services needed for
effective communication. These rights extend in some circumstances to
family members of a prospective organ donor or recipient. For example,
health care providers and organ donation programs are required to
provide auxiliary aids and services (including sign language
interpreters) when necessary for effective communication between a
relative involved in a prospective donor or recipient's care and a
health care provider or donation program.''
We established CfCs for OPOs at 42 CFR part 486, subpart G, and
OPOs must meet these requirements in order to be able to receive
payments from the Medicare and Medicaid programs. These regulations set
forth the certification and re-certification processes, outcome
requirements, and process performance measures for OPOs and became
effective on July 31, 2006 (71 FR 30982).
Section 486.322 requires that an OPO must have a written agreement
with 95 percent of the Medicare- and Medicaid-participating hospitals
and critical access hospitals in its service area that have both a
ventilator and an operating room, and have not been granted a waiver by
CMS to work with another OPO. Meanwhile, 42 CFR 482.45 requires a
hospital have written protocols that incorporate an agreement with an
OPO under which it must notify, in a timely manner, the OPO or a third
party designated by the OPO, of individuals whose death is imminent or
who have died in the hospital. Potential organ donors may encounter
Medicare- and Medicaid-certified providers prior to an emergency
department visit or hospital admission to a critical care unit.
Therefore, we expect that each OPO's responsibilities and work began
long before a hospital notified the OPO of an impending death--through,
but not limited to, extensive training and education of all Medicare
and Medicaid-certified providers along the continuum of care and by
fostering a collaborative relationship among them.
C. HHS Initiatives Related to OPO Services and Executive Order 13879
In 2000, the Secretary's Advisory Committee on Organ
Transplantation (ACOT) was established under the general authority of
section 222 of the PHS Act, as amended, and implementing regulations
under 42 CFR 121.12. ACOT is charged to (1) advise the Secretary,
acting through the Administrator, Health Resources and Services
Administration (HRSA) on all aspects of organ donation, procurement,
allocation, and transplantation, and on such other matters that the
Secretary determines; (2) advise the Secretary on federal efforts to
maximize the number of deceased donor organs made available for
transplantation and to support the safety of living organ donation; (3)
at the request of the Secretary, review significant proposed OPTN
policies submitted for the Secretary's approval to recommend whether
they should be made enforceable; and (4) provide expert input to the
Secretary on the latest advances in the science of transplantation, the
OPTN's system of collecting, disseminating and ensuring the validity,
accuracy, timeliness and usefulness of data, and additional medical,
public health, patient safety, ethical, legal, financial coverage,
social science, and socioeconomic issues that are relevant to
transplantation.\6\
---------------------------------------------------------------------------
\6\ https://www.organdonor.gov/about-dot/acot/charter.html.
---------------------------------------------------------------------------
A 2012 recommendation by ACOT stated: ``The ACOT recognizes that
the current CMS and HRSA/OPTN structure creates unnecessary burdens and
inconsistent requirements on transplant centers (TCs) and OPOs and that
the current system lacks responsiveness to advances in TCs and OPO
performance metrics. The ACOT recommends that the Secretary direct CMS
and HRSA to confer with the OPTN, Scientific Registry of Transplant
Recipients (SRTR), the OPO community, and TCs representatives to
conduct a comprehensive review of regulatory and other requirements,
and to promulgate regulatory and policy changes to requirements for
OPOs and TCs that
[[Page 70630]]
unify mutual goals of increasing organ donation, improving recipient
outcomes, and reducing organ wastage and administrative burden on TCs
and OPOs. These revisions should include, but not be limited to,
improved risk adjustment methodologies for TCs and a statistically
sound method for yield measures for OPOs--. . . .'' \7\
---------------------------------------------------------------------------
\7\ Available at: https://www.organdonor.gov/about-dot/acot/acotrecs55.html.
---------------------------------------------------------------------------
On July 10, 2019, President Trump issued Executive Order 13879
titled Advancing American Kidney Health. The Executive Order 13879
states that it is the policy of the U.S. to ``prevent kidney failure
whenever possible through better diagnosis, treatment, and incentives
for preventive care; increase patient choice through affordable
alternative treatments for ESRD by encouraging higher value care,
educating patients on treatment alternatives, and encouraging the
development of artificial kidneys; and increase access to kidney
transplants by modernizing the organ recovery and transplantation
systems and updating outmoded and counterproductive regulations.''
Further, the Executive Order aims to increase the utilization of
available organs by ordering that, within 90 days of the date of the
order, the Secretary propose a regulation to enhance the procurement
and utilization of organs available through deceased donation by
revising OPO rules and evaluation metrics to establish more
transparent, reliable, and enforceable objective measures for
evaluating an OPO's performance. In conjunction with the Executive
Order, the Department set a goal to deliver more organs for
transplantation and aims to double the number of kidneys available for
transplant by 2030.\8\
---------------------------------------------------------------------------
\8\ https://aspe.hhs.gov/system/files/pdf/262046/AdvancingAmericanKidneyHealth.pdf.
---------------------------------------------------------------------------
In accordance with the Executive Order and in response to ACOT's
recommendations and stakeholder feedback, we are proposing to revise
the OPO outcome and process measures so that they are more transparent,
reliable, and objective measures of OPO performance. We believe that
these changes will lead to increased procurement opportunities for
transplantation, increased organ utilization, and as a result, more
lives saved.
II. Provisions of the Proposed Regulations
A. Proposed Changes to Outcome Requirements (Sec. 486.318)
On May 31, 2006, CMS published the final rule, ``Medicare and
Medicaid Programs: Conditions for Coverage for Organ Procurement
Organizations (OPOs)'' in the Federal Register (71 FR 30982). That
final rule established the CfCs that OPOs must comply with in order to
receive Medicare and Medicaid reimbursement for organ procurement
costs. It also set forth outcome measures at 42 CFR 486.318 and
specifies the condition for reporting of data, 42 CFR 486.328. OPOs
must report data to the OPTN in accordance with 42 CFR 121.11(b)(2)
(describing data specified by the Secretary) and 42 CFR 486.328
(describing data required by the Secretary) for the operations of the
OPTN and for CMS's assessment of OPO performance. Under these
authorities, OPOs must report data to the OPTN or the SRTR specified by
the Secretary (including on OMB-approved forms pursuant to the
Paperwork Reduction Act of 1995). The CfCs for OPOs at 42 CFR
486.318(a) and (b) have required that an OPO must meet two of the three
following outcome measures:
The OPO's donation rate of eligible donors as a percentage
of eligible deaths is no more than 1.5 standard deviations below the
mean national donation rate of eligible donors as a percentage of
eligible deaths, averaged over the 4 years of the re-certification
cycle. Both the numerator and denominator of an individual OPO's
donation rate ratio are adjusted by adding a 1 for each donation after
cardiac death donor and each donor over the age of 70;
The observed donation rate is not significantly lower than
the expected donation rate for 18 or more months of the 36 months of
data used for re-certification, as calculated by SRTR;
The OPO data reports, averaged over the 4 years of the re-
certification cycle, must meet the rules and requirements of the most
current OPTN aggregate donor yield measure.
For the 2022 re-certification cycle only however, under 42 CFR
486.316(a)(3), OPOs are not required to meet the second outcome measure
(the observed donation rate is not significantly lower than the
expected donation rate for 18 or more months of the 36 months of data
used for re-certification, as calculated by SRTR). OPOs must instead
meet one out of the two outcome measure requirements described in Sec.
486.318(a)(1) and (3) for OPOs not operating exclusively in the
noncontiguous States, Commonwealths, Territories, or possessions; or
Sec. 486.318(b)(1) and (3) for OPOs operating exclusively in
noncontiguous States, Commonwealths, Territories, and possessions (84
FR 61434 through 61436).
We have heard concerns from some stakeholders within the organ
donation and transplantation community about these outcome measures
since finalization in 2006. Some stakeholders contend that the current
outcome measures are not reliable and transparent indicators of OPO
performance. Most comments have centered on the self-defined and self-
reported nature of the data on ``eligible deaths'' that are used for
the evaluation of the outcome measures. Stakeholders increasingly have
brought to our attention that the interpretation of ``eligible deaths''
appears to be inconsistent across donation service areas (DSAs), and
that ``all OPO data is unaudited and self-reported'' and therefore,
``the accuracy and consistency of that data cannot be assured.'' \9\
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\9\ Letter from Helen Irving, President and CEO, New York Organ
Donor Network, to Howard Shelanksi, Administrator, Office of
Information and Regulatory Affairs, Office of Management and Budget.
Oct. 2013. Available at: https://obamawhitehouse.archives.gov/sites/default/files/omb/assets/oira_0938/0938_10292013b-1.pdf
---------------------------------------------------------------------------
In addition, there were concerns about the donor yield outcome
measure. According to stakeholders, there are ``pressures from donor
yield reporting'' that ``drives OPOs to walk away from cases in which
the donor only has one organ viable for transplant (such as for older
patients, where it is common that only the liver is medically viable),
even in cases where next of kin consents to donation.'' \10\ As a
result, some commenters have suggested that ``the regulations may be
causing OPOs to `game' the process of meeting [this] standard by only
targeting `high-yield' organ candidates.'' \11\ Given these comments,
we are concerned that potentially transplantable organs may be wasted,
exacerbating the organ shortage problem.
---------------------------------------------------------------------------
\10\ ORGANIZE. Organ Donation Reform Report. 2019.
\11\ Letter from Helen Irving, President and CEO, New York Organ
Donor Network, to Howard Shelanksi, Administrator, Office of
Information and Regulatory Affairs, Office of Management and Budget.
Oct. 2013. Available at: https://obamawhitehouse.archives.gov/sites/default/files/omb/assets/oira_0938/0938_10292013b-1.pdf.
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To address some of these stakeholder concerns, we made several
changes to these outcome measures since we finalized the CfCs for OPOs
in 2006. In 2012, we modified the definition of ``donor document''
(that is, the document that an individual can sign to authorize the
procurement of their own
[[Page 70631]]
organs after their death) (77 FR 29020). In 2013, we changed the
requirement that an OPO had to meet three outcome measures to requiring
that the OPO had to meet only two out of the three outcome measures (78
FR 75141). In 2016, we modified our definition of ``eligible death'' to
be consistent with the OPTN definition, modified current requirements
for documentation of donor information that is sent to the transplant
center with the organ, and modified the yield measure to the most
current OPTN aggregate donor yield measure (81 FR 79830).
In addition, in November 2019, we finalized a proposal to reconcile
the definition of ``expected donation rate'' in the OPO CfCs with the
definition currently used by the SRTR. The rule also finalized a policy
that requires OPOs to meet one out of the two outcome measures for the
2022 re-certification cycle only. OPOs therefore are not required to
meet the second outcome measure (the observed donation rate is not
significantly lower than the expected donation rate for 18 or more
months of the 36 months of data used for re-certification, as
calculated by SRTR) for the 2022 re-certification cycle. Absent
additional regulatory changes, an OPO would be required to meet 2 of
the 3 regulatory requirements for future evaluation cycles (84 FR 61434
through 61436). We also published a Request for Information (RFI) in
the CY 2020 OPPS/ASC proposed rule that solicited comments regarding
what revisions may be appropriate for the current CfCs for OPOs that
are set forth at 42 CFR 486.301 through 486.360 and the current
Conditions of Participation (CoPs) for TCs that are set forth at 42 CFR
482.68 through 482.104 (84 FR 39595 through 39598). That RFI also
requested comments on two potential outcome measures, which we now
describe in more detail in this proposed rule.
In a continued effort to respond to these concerns and as required
by Executive Order 13879 and controlling statutes, we are proposing to
revise the outcome measures for re-certification at Sec. 486.318 to
replace the existing outcome measures with two new outcome measures
that would be used to assess an OPO's performance: ``donation rate''
and ``organ transplantation rate'' effective for CY 2022. The
``donation rate'' would be measured as the number of actual deceased
donors as a percentage of total inpatient deaths in the DSA among
patients 75 years of age or younger with any cause of death that would
not be an absolute contraindication to organ donation; and the ``organ
transplantation rate'' would be measured as the number of organs
procured within the DSA and transplanted as a percentage of total
inpatient deaths in the DSA among patients 75 years of age or younger
with any cause of death that would not be an absolute contraindication
to organ donation.
The first measure, ``donation rate'', would demonstrate the OPO's
percentage of possible deceased donors who become actual donors and the
second measure, ``organ transplantation rate'', would demonstrate the
percentage of organs transplanted after procurement. We have chosen
this combination of measures to reflect our view that OPOs should be
expanding their efforts on both converting potential donors into actual
donors and successfully placing all possible organs for
transplantation. We chose to include actual organ donors who had at
least one organ transplanted in our measure to encourage the pursuit of
single-organ donors because we believe that these donors are the
greatest opportunity for growth; it is our understanding that
transplant centers have recently been willing to expand the definition
of traditional organ donors and accept organs from these donors. We
also chose the total number of organs transplanted to emphasize the
role of the OPO in successful organ placement. We acknowledge concerns
that donation rate and transplant rate measures may seem redundant and
highly correlated; however, we believe that evidence of the high level
of correlation is due to our current outcome measures that include both
donation rates and organ transplant yield. We selected both donation
rates and transplantation rates in order to reduce the risk that
resources would be diverted to focus on one measure rather than
increasing overall efforts to address both types of measures, which we
believe could result in more single-organ donors and minimize
discarding of transplantable organs. We are cautious in creating
outcome measures that inadvertently decrease one or the other type of
measure. For example, if we choose measures based only on donation
rates, we are concerned whether there would be sufficient incentives to
place as many as possible organs from each donor, which can be time-
consuming. Conversely, if we chose measures based solely on organ
transplantation rates, we would be concerned that there would be fewer
incentives to procure single organs from older donors or donors after
cardiac death, as there would be to procure multiple organs from the
younger, healthier donor after brain death.
For the first measure, donation rate, the numerator is defined as
the number of actual deceased donors in the DSA who had at least one
organ transplanted based on data reported to the OPTN. In the current
Sec. 486.302 Definitions, we define ``Donor'' to mean a deceased
individual from whom at least one vascularized organ (heart, liver,
lung, kidney, pancreas, or intestine) is recovered for the purpose of
transplantation. We are proposing to change this definition to require
that the organ be transplanted, not just recovered. There are three
primary reasons for requiring that the organ be actually transplanted:
(1) To discourage the discarding of procured organs, (2) to encourage
transplantation of every organ, including those from single-organ
donors, and (3) because it is easier to verify the existence of a donor
who had at least one organ transplanted compared with donors who did
not have an organ transplanted. We are seeking comments on the change
in definition of ``donor.''
For the second measure, organ transplantation rate, we are not
changing the definition of ``Organ,'' but propose to provide
clarification as to how the organs are counted (see Table 1) for
purposes of determining the organ transplantation rate (as our current
regulations do not provide the specificity that we now propose to more
accurately track donations). We are excluding organs procured for
research, but not transplanted, from our definition, except for
pancreata that are procured for islet cell transplantation or research
(transplanted or not transplanted), as this is required by section
371(c) of the PHS Act. The numerator is defined as the number of actual
organs transplanted based on data obtained from the OPTN. We are
seeking comments on this proposed change and clarification.
Table 1--Organs Transplanted Count
------------------------------------------------------------------------
Number of
Organ type organs
transplanted
------------------------------------------------------------------------
Right or Left Kidney.................................... 1
Right and Left Kidney................................... 2
Double/En-Bloc Kidney................................... 2
Heart................................................... 1
Intestine............................................... 1
Intestine Segment 1 or Segment 2........................ 1
Intestine Segment 1 and Segment 2....................... 2
Liver................................................... 1
[[Page 70632]]
Liver Segment 1 or Segment 2............................ 1
Liver Segments 1 and Segment 2.......................... 2
Right or Left Lung...................................... 1
Right and Left Lung..................................... 2
Double/En-bloc Lung..................................... 2
Pancreas (transplanted whole, research, islet 1
transplant)............................................
Pancreas Segment 1 or Segment 2......................... 1
Pancreas Segment 1 and Segment 2........................ 2
------------------------------------------------------------------------
Some members of the OPO community have stated that the proposed
measure, organ transplantation rate, reflects the transplant hospitals'
acceptance practices and that OPOs should not be held accountable for
the transplant hospitals' decisions. We understand the role of
transplant hospitals in the organ transplantation rate measure;
however, we also recognize the influence OPOs have on transplant
hospital practice through OPO advisory boards (Sec. 486.324(a)(5)),
which include a transplant surgeon from every transplant hospital in
the DSA. Although the historical basis of this requirement was so that
transplant hospitals could advise OPOs about transplant practices and
have input into their policies,\12\ we believe the relationship has
evolved bilaterally, such that OPOs can educate transplant hospitals in
the DSA about the performance of organs that were turned down by one
hospital, but accepted by another. By serving on the OPO advisory
board, transplant surgeons can learn more about the practices of the
other transplant surgeons on the board, as well as about acceptance
practices at transplant hospitals outside the DSA, and share that
information with their own transplant hospitals. We also note that OPOs
are often expected to place their organs outside of their DSA; our
understanding of organ transplant practice is that there are numerous
transplant hospitals throughout the country that successfully
transplant ``less than perfect'' organs. It is our belief that given
the unacceptable number of patients dying on the waiting list or on
dialysis waiting for a transplant, there are transplant hospitals in
the U.S. that will accept ``less than perfect,'' but still
transplantable organs. As such, we believe it is the OPO's
responsibility to ensure that those organs are transplanted, instead of
discarded. Our goal for this rule and the organ transplantation rate
measure is to incentivize the ``system'' to establish efficiencies that
will result in substantial improvement of organ placement and
transplantation.
---------------------------------------------------------------------------
\12\ Senate Report 104-256--Organ and Bone Marrow Transplant
Program Reauthorization Act of 1995 and Sec. 486.324.
---------------------------------------------------------------------------
The numerators for these measures will be based on the actual
donors who had at least one organ transplanted and the number of organs
procured and transplanted from those donors in the DSA. Since the data
for the numerators for both of these measures are already being
submitted by the OPOs and verified by the transplant hospitals when
they perform the transplant, we do not believe that these proposed
changes create additional reporting burdens for the OPOs or the
transplant hospitals.\13\ Also, we are confident in the veracity of the
information as it can be corroborated by the OPTN, which has a record
of all organs in which a match is run for allocation, and requires
reporting of the transplantation by the OPO, as well as the transplant
program, and requires documentation of the disposition of the organ.
---------------------------------------------------------------------------
\13\ The data submitted to the OPTN has already been accounted
for in the OPTN final rule's Paperwork Reduction Act analysis.
---------------------------------------------------------------------------
For both measures, the denominator (that is, donor potential) is
defined as the number of total inpatient deaths within the DSA among
patients 75 years of age or younger with a cause of death that would
not be an absolute contraindication to organ donation. For calculating
the denominator, we would use data obtained from state death
certificates. Currently, this information can be obtained from the
Center for Disease Controls' (CDC), National Center for Health
Statistics' (NCHS's) Detailed Multiple Cause of Death (MCOD) as
described in more detail in this section. The MCOD is published
annually and is publicly available upon request. The MCOD meets NCHS
data privacy and security requirements.
The MCOD comprises county-level national mortality data that
include a record for every death of a U.S. resident recorded in the
U.S. The MCOD files contain an extensive set of variables derived from
the death certificates which are standardized across the 57
jurisdictions that provide CDC with the data (50 states, New York City,
the District of Columbia and the five territories). The jurisdictions
use the U.S. Standard Certificate of Death as a template for their
forms.\14\
---------------------------------------------------------------------------
\14\ https://www.cdc.gov/nchs/data/dvs/DEATH11-03final-acc.pdf.
---------------------------------------------------------------------------
Within the standard certificate of death are key variables relevant
to our measures such as where the death occurred: Hospital (inpatient,
emergency room/outpatient, and dead on arrival) or somewhere other than
a hospital (hospice facility, nursing home/long-term care facility,
decedent's home, other). In addition, there is information on the cause
of death. The information on the cause of death is based on free text
entered by the certifier, usually a physician, medical examiner, or
coroner. Based on the causes of death on the certificate, NCHS assigns
a code from the International Classification of Diseases, Tenth
Revision (ICD-10) to each cause of death reported. This coding is done
centrally at NCHS with software designed for this purpose or manually
using expert coders; they have been using ICD-10 codes since 1999. In
addition to the underlying cause of death, each record has space for up
to 20 multiple cause codes. The ICD-10 codes that could be assigned are
found in CDC's Instruction Manual, Part 2e, Volume 1: ICD-10,
International Statistical Classification of Diseases and Related Health
Statistical Classification of Diseases and Related Health Problems.
Tabular List, 2017; modified by the National Center for Health
Statistics for use in the classification and analysis of medical
mortality data in the U.S.\15\ Although there may be inaccuracies in
the description of the causes of deaths in these death certificates, we
have no evidence that there are differences in the rate of errors on
inpatient death certificates based on the DSA and that any particular
DSA would be disproportionately affected.
---------------------------------------------------------------------------
\15\ https://www.cdc.gov/nchs/data/dvs/2e_volume1_2017.pdf.
---------------------------------------------------------------------------
Deaths that are not an absolute contraindication to organ donation
are calculated from those ICD-10 codes and would exclude clinical
causes of death in which organs would never be used for
transplantation. Our definition of ``a death that is not an absolute
contraindication to organ donation'' means all deaths except those
identified by the specific ICD-10 codes that would preclude donation
under any circumstance. This information would be obtained from the
state death certificates, and include both immediate cause of death and
contributing causes of death. We have listed the three character
categories of ICD-10 codes in Table 2 to be absolute contraindications
to organ donation which was generated
[[Page 70633]]
from and reviewed by several sources (the current list of eligible
deaths, public stakeholder input, and HHS medical advisors). We are
interested in comments on whether all appropriate subcategories are
included and whether other ICD-10 codes should also be excluded from
the denominator.
Table 2--ICD-10 Codes Excluded From the Denominator
------------------------------------------------------------------------
------------------------------------------------------------------------
Tuberculosis........................... All.
Other bacterial diseases............... A39 Meningococcal infection.
A40 Streptococcal septicaemia.
A41 Other septicaemia.
Viral infections of the central nervous A82 Rabies.
system.
Viral infections characterized by skin B03 Smallpox.
and mucous membrane lesions.
Human immunodeficiency virus [HIV] B20 Human immunodeficiency
disease. virus [HIV] disease with
infectious and parasitic
diseases.
B21 Human immunodeficiency
virus [HIV] disease with
malignant neoplasms.
Sequelae of infectious and parasitic B90 Sequelae of tuberculosis.
diseases.
Malignant neoplasms of lip, oral cavity All.
and pharynx.
Malignant neoplasms of digestive organs All.
Malignant neoplasms of respiratory and All.
intrathoracic organs.
Melanoma and other malignant neoplasms C43 Malignant melanoma of skin.
of skin.
Malignant neoplasms of bone and All.
articular cartilage.
Melanoma and other malignant neoplasms All.
of skin.
Malignant neoplasms of methothelial and All.
soft tissue.
Malignant neoplasm of breast........... All.
Malignant neoplasms of female genital All.
organs.
Malignant neoplasms of male genital All.
organs.
Malignant neoplasms of thyroid and All.
other endocrine glands.
Malignant neoplasms of ill-defined, All.
secondary and unspecified sites.
Malignant neoplasms of lymphoid, All.
haematopoietic and related tissue.
Malignant neoplasms of independent All.
(primary) multiple sites.
Neoplasms of uncertain or unknown D44 Neoplasm of uncertain or
behavior. unknown behaviour of endocrine
glands.
D46 Meylodysplastic syndromes.
D47 Other neoplasms of
uncertain or unknown behavior
of lymphoid, haematopietic and
related tissue.
D48 Neoplasms of uncertain or
unknown behavior of other and
unspecified sites.
Coagulation defects, purpura and other D65 Disseminated intravascular
haemorrhagic conditions. coagulation [defibrination
syndrome].
D69 Purpura and other
haemorrhagic conditions.
Metabolic disorders.................... E84 Cystic fibrosis.
Infections specific to the perinatal P36 Bacterial sepsis of
period. newborn.
------------------------------------------------------------------------
One of our current measures used to measure OPO performance relies
upon measuring the donation rate based on eligible deaths. While the
``eligible death'' definition allows for a more narrow and definitive
estimation of the organ donation potential, it also limits the pool of
potential organ donors by which OPOs are evaluated and does not take
into account the advances in medicine that could expand the pool of
potential donors (such as, very effective treatments for hepatitis C
allowing hepatitis C positive donors to donate to patients who do not
have hepatitis C); \16\ further, it is subject to bias in
interpretation and reporting. By using inpatient deaths from this
objective data source and eliminating causes of death that are absolute
contraindications to organ donation, we are targeting a specific
population that is more likely to be organ donors and mitigating
concerns that the data could be manipulated based upon varying
interpretations of an eligible death.
---------------------------------------------------------------------------
\16\ Woolley, AE, et al, ``Heart and Lung Transplants from HCV-
Infected Donors to Uninfected Recipients,'' NEJM, 2019; 390:1606-
1617.
---------------------------------------------------------------------------
The denominator will be the number of inpatient deaths of someone
75 years old or younger identified using the most recent prior 12
months of available data from the state death certificates from the
DSA, and the numerators will be based on the number of donors and
organs transplanted during the same corresponding time period. We chose
to calculate our measures based on the most recent prior 12 months of
available data from the DSA because we do not want to penalize OPOs
that have improved their performance by using older data. Also, since
the purpose of our performing this assessment is to re-certify an OPO
for another 4 years, historical performance from more than two years
prior may be less reflective of current performance or less predictive
of future performance. Finally, we are interested in comments on
whether there are alternative or additional data sources or types we
should consider, including those already being collected, when
assessing OPO performance. As stated earlier, we acknowledge that there
are certain limitations of the CDC Multiple Cause of Death File. We are
therefore interested in whether there are additional data sources, such
as those collected by the OPTN, which could supplement the precision of
outcome measures. We are also interested in the availability and
utility of additional types of data, such as donor enrollment
practices, discarded organs, or referral management.
In the regulatory impact analysis (RIA) section of this proposed
rule, we present tables reflecting the results of our proposed measures
using data from January 1, 2017 to December 31, 2017. We found a wide
range of donation rates (1.65 to 6.45 donors/100 inpatient deaths) and
organ transplantation rates (4.47 to 21.14 transplants/100 inpatient
deaths). We did not find a correlation between the performance of OPOs
and the number of deaths (reflecting experience with larger volumes of
potential donors) or the number of patients on the waiting list
(reflecting the demand for organs) in the DSA.
[[Page 70634]]
Although Cannon et al. found statistically significant clustering of
the top 5 causes of death in organ donors (blunt trauma, gunshot
wounds, drug overdose, cerebrovascular accidents, and cardiovascular
disease), we compared the donation rates and organ transplantation
rates using these proposed measures to the geographic variability in
those top five causes of death and found no correlation between high
OPO performance and distribution or incidence of those causes of
death.\17\ We examined the characteristics of the DSAs among the top 25
percent performing OPOs and found that they include geographic areas
representative of all parts of the U.S. and diverse racial and ethnic
populations. Despite this seemingly broader definition of potential
organ donors, we did not notice any particular geographic patterns
(including urban vs. rural) distinguishing the top performing OPOs from
the rest of the cohort, leading us to conclude that our broad
definition, inpatient deaths among those 75 and younger within the DSA,
excluding causes of deaths that are an absolute contraindication for
organ donation, appropriately describes the donor potential in a DSA
and that the primary factors for differences in OPO performance using
these measures are within the control of the OPOs to change. We are
seeking comments as to the accuracy of our assessment and whether
additional research is necessary to ensure that all DSAs will be
impacted equally under the new measures. Specifically, we are
requesting public comments that provide evidence-based support, such as
peer-reviewed literature, that we should consider to inform our
conclusion that our proposed definitions would not disadvantage any
particular OPO as a result of population demographics or incidence of
disease within a DSA.
---------------------------------------------------------------------------
\17\ Cannon RM, Jones CM, et al, ``Patterns of geographic
variability in mortality and eligible deaths between organ
procurement organizations,'' AmJTransplant. 2019;00:4 (Fig. 2).
---------------------------------------------------------------------------
Since our criteria for the denominator takes into consideration
many of the clinical characteristics associated with possible organ
donation (the age of the potential donor, the inpatient
hospitalization, and contraindication to donation), we believe all
appropriate risk-adjustments to the clinical characteristics of the
donor potential have been made. We are aware of literature identifying
racial disparities among organ donors, specifically that African
Americans were less willing to donate their own organs compared with
whites (72.6% v. 88.3%).\18\ However, we are concerned regarding the
applicability of that study, given it was from 2000, and more recent
evidence suggesting that the racial concordance of the OPO requester
plays a role in the rate of authorization for organ donation.\19\
Further, we are not aware of any validated coefficients that reflect
the likelihood of a particular racial/ethnic group to donate organs and
we are concerned that any current risk-adjustments factors being used
include the historical poorer performances. Based on the most recent
literature and our internal analyses, we have decided not to risk-
adjust for race. We seek comments as to whether there is other
literature or data regarding race or other demographics or other public
health factors that warrant the consideration of further risk
adjustment.
---------------------------------------------------------------------------
\18\ Siminoff, LA, et al, ``Racial Disparities in Preferences
and Perceptions Regarding Organ Donation,'' JGIM, 2006; 21:995-100.
\19\ Bodenheimer, HC, et al, ``The Impact of Race on Organ
Donation Authorization Discussed in the Context of Liver
Transplantation,'' Transactions of the American Clinical and
Climatological Association, Vol. 123, 2012.
---------------------------------------------------------------------------
Similarly, we are not proposing any additional risk-adjustments to
our measures other than the exclusion of the ICD-10 codes that are
absolute contraindications to organ donation, the age of 75 and
younger, and the requirement that the death occurred as an inpatient in
the hospital. However, we are seeking comments on whether other risk-
adjustments are necessary and which ones, such as donor demographic
characteristics (race, gender, age, disease condition) or DSA
characteristics (number of ICU beds or level I and II trauma centers),
would be significant and clinically appropriate in the context of our
proposed approach to identifying OPOs in need of improved performance.
If risk adjustment were to be implemented, it would likely be done
retrospectively by identifying risk factors that have a statistically
significant impact on transplantation rates using regression analysis.
We are interested in comments on specific risk adjustment public health
emergencies or other local activities (for example, legislative changes
on presumed consent). We are also requesting that commenters provide
evidence and data sources that would be necessary to calculate the
risk-adjustments recommended. Finally, we are seeking comments about
any potential unintended consequence of using risk-adjustments to our
measures. Depending on the substance of the public comments received,
we could establish a risk adjustment methodology in the final rule.
In order to ensure that our measures adjust to changes in medical
technology and causes of death and in order to achieve the goal of
doubling the number of kidneys available for transplantation by 2030,
we are proposing to use our measures in the context of a comparative
donation rate and organ transplantation rate relative to the highest-
performing OPOs. By using comparative rates, we assume that the highest
performing OPOs are adjusting their practices to reflect medical
technology and other factors that may impact the number of donors and
organs transplanted. Our ultimate definition of success, however, is to
encourage the performance of all OPOs to cluster around the highest
performers. Therefore, our proposed definition of success will be based
on how OPOs perform on the outcome measures of donation rate and organ
transplantation rate compared with the top 25 percent of donation and
transplantation rates for OPOs. We acknowledge that there may be other
success factors for assessing performance of OPOs outside of the two
outcome measures of donation rate and organ transplantation rate. Thus,
we are soliciting public comments on whether or not comparing OPO
performance should be based solely on the performance of the top 25
percent of OPOs within these two outcome measures, whether a different
percentile or calculation of OPO performance should be used, or whether
additional outcome, structure, or process criteria could be used to
inform stakeholders of OPO performance over time.
In determining our calculations, we will establish a threshold
donation rate and organ transplantation rate based on the lowest rate
among the top 25 percent of donation rates and organ transplantation
rates during the 12-month period prior to the time period that is being
evaluated. For example, if we are doing an assessment on December 31,
2024 and using data from January 1, 2023 to December 31, 2023, the
threshold rates would be based on the lowest donation rate and organ
transplantation rate of the top 25 percent donation and organ
transplantation rates for the time period of January 1, 2022 to
December 31, 2022. Since there are currently 58 OPOs, there are 15 OPO
rates (rounded to the closest integer) in the top 25 percent. There are
two primary benefits for using this separate cohort to establish the
threshold rates: (1) The predetermined threshold rate obtained from an
external source would be known to OPOs before their evaluation cycle
and (2) from a
[[Page 70635]]
statistical standpoint, such a predetermined threshold rate would be
considered a known constant, not subject to random variation. If we
were to use a threshold rate based on the same time period being
evaluated, then the threshold rate would not be known to OPOs before
their evaluation cycle. From a statistical standpoint, such a threshold
rate would not be considered a constant; in that case, its uncertainty
would need to be accounted for in the testing procedure, resulting in
lower statistical power. To avoid this problem, we instead use a
predetermined threshold rate obtained from an external source.
Then, we will determine whether the donation rates and organ
transplantation rates for each of the OPOs are statistically
significantly lower than the predetermined threshold rate by
calculating the 95 percent confidence interval (CI) for each OPO and
flagging those OPOs whose upper limit of the one-sided 95 percent CI is
lower than the threshold rate. By using this approach, we allow all
OPOs the opportunity to re-certify as long as their performance is not
statistically significantly different from the top 25 percent.
Importantly, Executive Order 13879 recognizes the problem of organ
discards. In choosing the 25 percent cutoff, we hope to encourage OPOs
to successfully place every organ they procure and to improve their
donation rates. We analyzed the impact of these new outcome measures on
data from January 1, 2017 to December 31, 2017 and determined that if
all underperforming OPOs reached the threshold rate for that time
period, we would have approximately 4,900 more organs transplanted.
According to the OPTN data, from that same time period, there were a
total of 4,905 organs discarded, of which 3,542 were kidneys.\20\ A
recent study showed that if U.S. transplant centers expanded the type
of deceased donor kidneys that they transplanted to include the lower
quality kidneys, similar to those transplanted in France, there would
be 17,435 more kidneys transplanted, resulting in 132,445 allograft
years over an 11-year period.\21\
---------------------------------------------------------------------------
\20\ OPTN databased accessed on August 28, 2019 (https://optn.transplant.hrsa.gov/data/view-data-reports/build-advanced/).
\21\ Aubert, Reese, et al, ``Disparities in Acceptance of
Deceased Donor Kidneys Between the United States and France and
Estimated Effects of Increased US Acceptance, JAMA Intern Med.
Published online August 26, 2019. Doi:10.1001/
jamainternmed.2019.2322.
---------------------------------------------------------------------------
However, eliminating all inappropriate organ discards alone will
not be enough to achieve the 4,900 more organs transplanted that we
hope to achieve in setting the top 25 percent threshold. The reason we
believe a top 25 percent threshold rate is appropriate is that we also
found a wide variation in donation rates among OPOs, suggesting that
there is significant opportunity, especially among the lower-
performing OPOs, to increase their donation rates and subsequently,
their organ transplantation rates. If we had not seen such a wide
variation in donation rates, we would have aligned our expected
increase in organs transplanted with the number of organs discarded
that we believed could be transplantable and set a lower threshold
rate, such as 30 percent or 40 percent. We are seeking comments on the
threshold rate cutoffs for determining success and our methodology for
calculating the threshold rates.
Our proposed measures are similar to the measures presented in the
study, ``Importance of incorporating standardized, verifiable,
objective metrics of organ procurement organization performance into
discussions about organ allocation.'' \22\ This study describes a
similar approach using the NCHS data, but uses a cause, age, and
location consistent (CALC) donation measure. We are actively
considering this approach as well as other alternatives and have
described them in greater detail in the RIA, Section G: Alternatives
Considered.
---------------------------------------------------------------------------
\22\ Goldberg D, Karp S, et al, ``Importance of incorporating
standardized, verifiable, objective metrics of organ procurement
organization performance into discussions about organ allocation,''
Am J Transplant. 2019;00:1-6.
---------------------------------------------------------------------------
We believe that the consistency and quality of these proposed
measures would be a significant improvement over the current measures
because they would rely on independent data to measure donor potential.
Stakeholders have increasingly brought to CMS' and HHS' attention that
the self-reporting of data could inadvertently reward poor performance,
suggesting that OPOs who are less proficient at identifying eligible
deaths in their donation service area could have lower denominators,
resulting in higher rates of donations. The current outcome measures
also include potentially burdensome OPO self-defined and self-reported
``eligible deaths'' for evaluation purposes. We believe that using CDC
data on inpatient deaths from the state death certificates as the
denominator would greatly reduce reporting burdens on OPOs and allow
them to more efficiently utilize their resources to improving donation
rates and organ transplantation rates.
By establishing a definition of success that is compared with the
top performing OPOs, we hope to increase the number of organs,
particularly kidneys, to achieve the goal of doubling kidney
transplantations by 2030. Therefore, we do not think it is appropriate
for us to include a measure that assesses the OPO's actual donation or
transplantation rates based on their expected donation or
transplantation rates since that measure relies on average performances
to assess OPOs. Our new measures are designed to drive OPOs to perform
optimally by motivating them to pursue every organ, every time, rather
than setting standards at or near the current average performance. For
all the reasons stated above, we believe that the proposed changes to
our outcome measures would standardize the assessment of OPO
performance, reduce reporting burdens on OPOs, and increase the number
of transplantable organs. We would expect OPOs to continue their
quality improvement efforts through their Quality Assurance and
Performance Improvement (QAPI) program, as required by our rules at
Sec. 486.348, and they would continue to seek and implement best
practices for organ procurement. We note that OPOs are already required
to develop, implement, and maintain a comprehensive, data-driven QAPI
program designed to monitor and evaluate performance of all donation
services, and we expect them to use the data provided as part of their
QAPI program.
In the current regulations, we have specifically separated OPOs
operating exclusively in noncontiguous States, Commonwealths,
Territories, or possessions from the other OPOs. In this proposed rule,
we are not proposing different outcome measures for these OPOs because
we believe the residents of those areas deserve every opportunity for
organ transplantation and that OPOs servicing those areas should
perform at the same level as the top 25 percent of OPOs. Although these
OPOs may not be in a DSA with transplant hospitals capable of
transplanting all organs that possibly could be procured, organs are
frequently offered to hospitals outside of the DSAs in which they are
procured. Further, we believe that geographical distances may not be as
much of a hurdle as previously believed. For example, the OPO in Puerto
Rico is geographically proximal to the continental U.S. where there are
numerous transplant hospitals. The OPO in Hawaii may have more
difficulty placing all organs given how long it takes to reach the
continental
[[Page 70636]]
U.S. from there; however, we understand that there are new technologies
that could be employed to allow for transport for organs that cannot
tolerate longer transport time (such as for kidneys, livers, and lungs)
and that the geographic distance may be less of a barrier to placement
of these organs. We are seeking comments on this proposed change,
particularly the burden and unique challenges that may face OPOs in the
noncontiguous States, Commonwealths, Territories, or possessions, and
whether using just the kidney transplantation rate for the Hawaii OPO
would be an appropriate measure of performance as discussed in the RIA,
Section G: Alternatives Considered.
B. Proposed Changes to Definitions (Sec. 486.302) and Re-Certification
and Competition Processes (Sec. 486.316)
In line with our proposal to change the outcome measures at Sec.
486.318, as discussed in section II.A. of this document, we are
proposing to modify language in Sec. 486.316(a)(1) that an OPO must
meet two out of the three outcome measures at Sec. 486.318 and at
Sec. 486.316 (a)(3) that for the 2022 re-certification cycle only that
an OPO must meet one out of the two outcome measures described in Sec.
486.318 (a)(1) and (3) and (b)(1) and (3). We are also proposing to
remove several definitions from Sec. 486.302, since these terms would
no longer apply. Specifically, we are proposing to remove the
definitions of ``eligible death,'' ``eligible donor,'' ``expected
donation rate,'' ``observed donation rate'', and ``Standard criteria
donor (SCD)''. Finally, we are proposing to modify the definition of
``donor'' as described in section II.A of this rule and are proposing
to add the terms ``death that is not an absolute contraindication to
organ donation,'' ``donation rate,'' ``donor potential,'' and ``organ
transplantation rate.'' We are proposing to define these terms as
follows:
``Death that is not an absolute contraindication to organ
donation'': All deaths from the state death certificates except those
with any cause of death identified by the specific ICD-10 codes that
would preclude donation under any circumstance.
``Donor potential'': Is the number of inpatient deaths
with in the DSA among patients 75 and younger with any cause of death
that is not an absolute contraindication to organ donation.
``Donation rate'': Is the number of donors as a percentage
of the donor potential.
``Organ transplantation rate'': The number of organs
transplanted as a percentage of the donor potential.
Accordingly, we are proposing to modify the reporting requirements
in Sec. 486.328 to eliminate the reporting of the ``Number of eligible
deaths'' and modifying the reporting of ``Number of eligible donors''
to ``Number of donors.'' In addition, we are proposing to revise the
language that incorrectly refers to the ``Scientific Registry of
Transplant Beneficiaries'' and ``DHHS'' in this section. We would
instead include the terms ``Scientific Registry of Transplant
Recipients'' and ``HHS.'' We are requesting comments on these
proposals.
Sections 486.316 (c) and (d) describe the criteria that an OPO must
meet in order to compete for an open service area and the criteria for
selection of an OPO for an open service area, respectively. Once an OPO
is de-certified and their agreement is terminated, either voluntarily
or involuntarily as described in Sec. 486.312, the OPO's service area
is open to competition from other OPOs. Under Sec. 486.316(b), the OPO
that has been de-certified is not permitted to compete for its service
area or any other service area. If an OPO is interested in competing
for an open service area, the OPO must submit information and data that
describe the barriers in its service area, how they affected organ
donation, what steps the OPO took to overcome them, and the results.
These current requirements for competition once an OPO is de-certified
will continue to apply if we finalize the changes to the outcome
measures described in this proposed rule. If no OPO applies to compete
for a de-certified OPO's open area, Sec. 486.316 (e) allows for CMS to
select a single OPO to take over the entire open area or adjust the
service area boundaries of two or more contiguous OPOs to incorporate
the open area. CMS would select the new OPO to take over the entire
open area based on the criteria set out at Sec. 486.316(d); however,
our regulations do not require that the DSAs merge when a new OPO takes
over. However, we acknowledge that decertification of multiple OPOs
could require changes to OPTN policies. We are soliciting comments on
our current regulations related to assigning an open DSA in the case
where no OPO applies to compete for that open area or in the case where
CMS selects an OPO to take over the entire open DSA, but the OPO
refuses to do so.
Our goal is to ensure continuous coverage of an OPO service area in
the event an OPO is decertified. Although we would attempt to minimize
disruptions to organ procurement services in an open service area as
much as possible, we acknowledge that there is the potential for
disruption when one or multiple OPOs are decertified. We are therefore
seeking comments on ways that we can reduce any potential disruptions
when an OPO is decertified and their service area is open to
competition. We are particularly interested in comments on such
potential options including ways that we could improve or ease the
process of transitioning an open service area from the decertified OPO
to another OPO and other related factors that may impact organ donation
or the OPO's ability to meet the outcome measures.
OPOs are also required to meet certain criteria in order to compete
for an open service area. In general, OPOs must meet two out of the
three outcome measures requirements at Sec. 486.318 (with the
exception of the 2022 re-certification cycle where OPOs are required to
meet one out of two outcome measures) and the OPO must be in compliance
with the requirements for certification at Sec. 486.303, including the
conditions for coverage at Sec. Sec. 486.320 through 486.360. The OPO
that is applying to compete for the open service area must also meet
additional criteria, including that the OPO's:
Performance on the donation rate outcome measure and yield
outcome measure is at or above 100 percent of the mean national rate
averaged over the 4 years of the re-certification cycle; and
Donation rate is at least 15 percentage points higher than
the donation rate of the OPO currently designated for the service area.
The OPO must also compete for the entire service area.
These existing requirements, however, are not consistent with our
proposed method of assessing an OPO's performance, which would compare
OPOs to an established threshold rate (using the lowest rate among the
top 25 percent of donation rates and organ transplantation rates during
the 12-month period prior to the time period that is being evaluated).
We therefore are proposing to remove the additional requirement for an
OPO's performance on the donation rate outcome measure and yield
outcome measure (is at or above 100 percent of the mean national rate
averaged over the 4 years of the re-certification cycle) and the
requirement that an OPO's donation rate be at least 15 percentage
points higher than the donation rate of the OPO currently designated
for the service area. We believe that OPOs will be held to a high
standard of performance under the new proposed outcome measures. This
would ensure that any OPO that is seeking to compete for an open
service
[[Page 70637]]
area performs significantly better than the de-certified OPO. By
meeting the outcome measure requirements, an OPO would also demonstrate
its ability to perform well in its own DSA. We are soliciting comments
on whether there should be additional criteria beyond what we are
proposing to include here to demonstrate that an OPO is performing
significantly better than the de-certified OPO. We are not proposing to
eliminate the requirement that OPOs compete for the entire service
area. Maintaining this requirement will prevent competition of partial
service areas, which may lead to OPOs attempting to obtain certain
neighboring service areas purely for business reasons, with no regard
to whether the OPO can increase organ donation in those areas.
Finally, the current requirements list certain criteria for
selection of an OPO for designation of an open service area including:
Performance on the outcome measures at Sec. 486.318;
Relative success in meeting the process performance
measures and other conditions at Sec. Sec. 486.320 through 486.360;
Contiguity to the open service area; and
Success in identifying and overcoming barriers to donation
within its own service area and the relevance of those barriers to
barriers in the open area. An OPO competing for an open service area
must submit information and data that describe the barriers in its
service area, how they affected organ donation, what steps the OPO took
to overcome them, and the results.
We are proposing to make a clarifying change to these requirements
to emphasize that CMS will consider the current criteria when
determining which OPO to designate for an open service area. Our
original intent was to list these criteria as guidelines as opposed to
requirements that an OPO must meet in order to be selected. For
example, we could select a high performing OPO that meets the outcome
measures and other CfC requirements, but may not be contiguous to the
open service area. This change would provide clarity to the
circumstances under which CMS would select an OPO to take over an open
service area.
We are soliciting comments on all of our proposed changes to Sec.
486.316. We are especially interested in comments on whether the
contiguity of an OPO to the open service area is still an important
factor to consider when selecting an OPO to take over an open service
area. Since we implemented the OPO CfCs in 2006, there have been
advances in technology that have improved organ procurement and
transplantation and that have changed the way and the speed, in which
OPOs and transplant centers communicate with each other. It may be the
case that an OPO that is taking over an open service area may no longer
need to be contiguous to the open service, especially if that OPO is a
high performer that could increase the number of organs procured and
eventually transplanted in an open service area. We are seeking
comments on whether this specific criterion is still applicable.
We are also soliciting comments on whether we should reconsider
opening the service area of every OPO for competition at the conclusion
of every re-certification cycle, regardless of whether the OPO met the
outcome performance standards for the prior re-certification cycle.
Under our current regulations, OPOs that successfully pass the outcome
and process performance measures and comply with our CfCs are
automatically renewed. Only OPOs that are unsuccessful in meeting these
regulatory requirements could be de-certified. We are seeking comments
on an alternative approach where all OPO service areas would be open
for competition at the end of each agreement cycle. Any OPO seeking to
renew the agreement could face competition from another OPO that wanted
to take over that DSA.
In 2005, we proposed opening every OPO's service area for
competition at the end of every re-certification cycle. Specifically,
we proposed that once we determined that an OPO met the outcome
measures at proposed Sec. 486.318 for the previous re-certification
cycle and was found to be in compliance with the process performance
measures at Sec. Sec. 486.320 through 486.360, that we would open the
OPO's service area for competition from other OPOs. Some of the
comments we received at the time included concerns that such a proposal
would threaten cooperation and collaboration between OPOs, and would
impact the sharing of best practices and change strategies between OPOs
(71 FR 30996). In response to this feedback, we finalized a modified
version of this proposal whereby this process would only occur in the
service areas of OPOs that have been de-certified. We are seeking
comments as to whether circumstances in the past 15 years have changed
that would warrant our reconsidering our policy of limiting the
competition to just open service areas. If we were to consider a policy
to open the service areas of all OPOs, we seek comment on how much
effort it would take to prepare a bid for the open service area, how
this type of competition may affect organ donation, and how it would
affect cooperation when transplant centers are receiving organs from
outside the service area.
C. Proposed Changes to the Re-Certification Cycle (Sec. 486.302 and
Sec. 486.318)
In accordance with our rules at Sec. 486.308(b)(1), OPOs are re-
certified on a four-year cycle. Currently, OPOs are assessed based on
36 months of data analysis. This data period begins six months after
the certification period starts and ends six months prior to the end of
the certification cycle. CMS analyzes these data and determines if the
OPO is out of compliance with outcomes prior to the end of the current
cycle and prior to the start of the next cycle. OPOs are given interim
reports every six months during the certification period to gauge
performance. The survey and certification administrative enforcement
actions begin six months before the end of the certification period.
For instance, the data collection period for the previous re-
certification cycle ended on December 31, 2017. Re-certification
surveys were conducted January 1, 2018 through July 31, 2018 and
outcomes measures were assessed for the 36 month period beginning
January 1, 2015 through December 31, 2017, with the next certification
cycle beginning on August 1, 2018. We recognize that waiting a full 36
months to assess and take actions to improve OPO performance would
result in numerous lost opportunities to procure and transplant
potentially viable organs. Therefore, we propose that the outcome
measures assessment occur at least every year and be based on data from
the most recent 12 months of data from the state death certificates.
OPOs that are flagged as having donation rates or organ transplantation
rates that are statistically significantly less than the threshold
rates established by the top 25 percent of OPOs are expected to take
actions to improve their performance and include the specific actions
that they will undertake to improve their outcome measures in their
QAPI program. Currently, OPOs receive data on their performance from
the SRTR every six months, so our proposed methodology would not
provide assessments as frequently. But, this approach could provide for
a continuous assessment of OPO performance and allow for more
responsive performance improvement actions from low performers because
of
[[Page 70638]]
the role of the QAPI program. In the spirit of transparency, we intend
make these outcome measures public at each assessment.
Although the assessments would occur at least once every 12 months,
no OPO may be de-certified until the end of the re-certification cycle,
except in cases of urgent need.\23\ We are proposing to use the most
recent prior 12 months of data at the last assessment cycle before re-
certification to be the basis for de-certification. The reason we are
proposing to use only the prior 12 months of data is that we do not
want to penalize an OPO who has made legitimate and successful efforts
to improve their performance by including the older data, nor do we
want to reward an OPO whose recent performance has fallen to be able to
rely on past performance as the basis for a subsequent four-year re-
certification. In the past, we have used 36 months of data to determine
re-certification, so we are seeking comments on the use of the shorter
length of data as opposed to all the data during the re-certification
cycle. Although using the longer period of time would include data that
does not reflect the OPO's current status, it would allow OPOs who had
been performing adequately through most of the four-year cycle to
remain certified even if they had a lapse in performance at the last
cycle. We are also seeking comments on other approaches to use the data
to identify high-performing OPOs for re-certification.
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\23\ The Organ Procurement Organization Certification Act of
2000 changed the re-certification cycle from every 2 years to every
4 years; Sec. 486.312(d) and Sec. 486.302 states that CMS can give
written notice of de-certification in cases of urgent need and
defines urgent need as occurring when an OPO's noncompliance with
one or more conditions for coverage has caused, or is likely to
cause, serious injury, harm, impairment, or death to a potential or
actual donor or an organ beneficiary.
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After considering public comments and finalizing this rule, we
expect to begin calculations of the outcomes measures before the
beginning of the next re-certification cycle in 2022. We are requesting
comments on this proposed change to the applicability of the outcome
measure requirements for the cycle beginning in 2022 and ending in
2026.
D. Proposed Change to the Quality Assessment and Performance
Improvement Requirement (Sec. 486.348)
QAPI requirements for OPOs were first established in 2006 (71 FR
31054). OPOs are required to develop, implement, and maintain a
comprehensive, data-driven QAPI program designed to monitor and
evaluate performance of all donation services, including services
provided under contract or arrangement under Sec. 486.348. In
addition, an OPO's QAPI program must include objective measures to
evaluate and demonstrate improved performance with regard to certain
OPO activities, and the OPO must take actions that result in
performance improvements and track performance to ensure that
improvements are sustained.
A QAPI program is an important, data driven process that allows
health care entities to assess their functioning continuously and make
changes to improve their quality and efficiency over time. Since we are
proposing to revise the outcome measure requirements at Sec. 486.318
and the re-certification process at Sec. 486.316, we believe that OPOs
should also be required to include a process to address and improve
poor performance on their outcome measures as part of their QAPI
program. We currently do not have such a requirement for an OPO's QAPI
program, but because OPOs are re-certified every 4 years, it is
important that OPOs continuously strive to improve outcomes over the
course of the re-certification cycle. An OPO's QAPI program provides a
process to achieve these improvements. We, therefore, are proposing to
require that OPOs include a process to evaluate and address their
outcome measures in their QAPI program if their rates are statistically
significantly lower than the top 25 percent at each assessment, for
each assessment period except the final assessment. Failure to meet the
outcome measure in the final assessment period would result in de-
certification. For all other assessment periods, if the OPO does not
meet the outcome measures, the OPO must identify opportunities for
improvement and implement changes that lead to improvement in these
measures.
As we have previously described in this proposed rule, we are
proposing that an OPO's performance on the outcome measures be assessed
at least every 12 months, based on the most recent prior 12 months of
data. We would expect OPOs to use the data that are obtained from each
assessment to drive changes to their QAPI program in order to improve
their performance on the outcome measures. If proactive changes are
made early in the re-certification cycle, an OPO would be able to begin
to address poor performance on the outcome measures early in the re-
certification cycle and prior to the re-certification determination. We
are additionally interested in whether the QAPI process is sufficiently
robust to capture year over year improvements, as well as other
quantitative factors that may not be captured in our proposed outcome
metrics. As such, we encourage commenters to consider ways the QAPI
process may be modified or enhanced to better assess OPO performance
relative to past performance and to other OPOs. As proposed in this
rule, an OPO that was deemed compliant on its QAPI, but did not meet
one or both of the proposed outcome measures would be subject to
decertification.
E. Solicitation of Comments
In addition to our requests for comments throughout the preamble,
we are specifically seeking the public's input on the following
questions:
Should OPO outcome measures also include an assessment of
organ transplantation rates by type of organ transplanted?
We are proposing to use a performance measure that is
based on the OPO's performance relative to the top 25 percent of
donation rates and organ transplantation rates. Should CMS use a static
level or a different criterion from what is being proposed? What
statistical approach to the data or incentives can we use to encourage
all OPOs to strive to be high performers? Can the current performance
parameter, which requires that the donation rate be no more than 1.5
standard deviations below the mean national donation rate, be
appropriately applied to achieve this goal? We are requesting that
commenters explain and include any evidence or data they have to
support their comments.
What are the benefits, consequences, or unintended
consequences, of using these two proposed measures and what are their
potential impact on OPOs, transplant centers, organ donation, patient
access, and transplant recipients?
Are there potential additional compliance burdens on OPOs
or transplant centers if the two proposed measures were finalized?
Please explain.
In Sec. 486.316(c)(3), we require an OPO to compete for an entire
service area as a criterion to compete for an open service area. At
this time, we are not proposing to change this requirement but would
like comments as to whether we should consider revising this subsection
and redefining the open service area for competition. Although we have
proposed eliminating the definition of ``eligible deaths,'' we have not
proposed to remove the requirement that OPOs conduct monthly death
record reviews. We are seeking comments as to whether Sec. 486.348(b)
[[Page 70639]]
should be revised or removed altogether to eliminate such reviews.
Please include justifications and explanations in your comments.
We encourage detailed comments that answer all of the
aforementioned questions. Additionally, in the RIA, Section G:
Alternatives considered, we discuss a number of different alternatives
that we are actively considering. These alternatives examine different
type of denominators, different statistical confidence intervals for
calculations, and different threshold rates for assessment. We are
actively considering these policy alternatives and are seeking comments
on them.
III. Collection of Information Requirements
Under the Paperwork Reduction Act (PRA) 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 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.
We are soliciting public comment on each of these issues for the
following sections of this document that contain information collection
requirements (ICRs):
A. ICRs Regarding Re-Certification and Competition Processes (Sec.
486.316)
At Sec. 486.316(b), we are proposing to modify language that
refers to the current outcome measure requirements that states that an
OPO must meet two out of the three outcome measures at Sec. 486.318.
They would instead be required to meet both newly proposed outcome
measures, or face de-certification which may then be appealed by the
OPO. If the OPO does not appeal or the OPO appeals and the
reconsideration official and CMS hearing officer uphold the de-
certification, the OPO's service area would be opened for competition
by other OPOs.
The current information collection request for the OPO CfC (OMB
Control Number 0938-0688, Exp. February 2021) estimates that one OPO
would face de-certification per year, and under the proposed outcome
measures, this number would have potential to increase. We do not know
exactly how many would be de-certified under these new measures;
however, based on the improvement required to meet the proposed
measures it is possible that approximately 7 to 33 OPOs could be de-
certified. Assuming some number of these de-certifications are upheld,
their respective service areas would be opened for competition.
Under Sec. 486.316(b), an OPO competing for an open service area
must submit information and data that describe the barriers in its
service area, how they affected organ donation, what steps the OPO took
to overcome them, and the results. In addition, Sec. 486.316(c) states
that to compete for an open service area, an OPO must meet the
performance requirements of the outcome measures at Sec. 486.318 and
the requirements for certification at Sec. 486.303, including the
conditions for coverage at Sec. Sec. 486.320 through 486.348. The OPO
must also compete for the entire service area.
The burden associated with this requirement is the time it would
take to create a document that contains the required information and
data related to the OPO's success in identifying and addressing the
barriers in its own service area and how they relate to the open
service area. We will refer to this documentation as a plan.
Based on historical data and our previous experience with the OPOs,
we would expect a total of nine OPOs will want to compete for a new
service area and three of those OPOs may want to compete for more than
one service area. Thus, we believe there will be a total of 12 plans
that will need to be developed for the competition process.
We believe that developing each plan would require the collective
efforts of a QAPI director (Registered Nurse, $71/hour), organ
procurement coordinator (RN or social worker, $71/hour), medical
director ($107/hour), OPO director ($107/hour), and a medical secretary
($35/hour). All wages are adjusted upwards by 100 percent to account
for the cost of fringe benefits and overhead. Assuming, consistent with
past rulemaking, that it would take these professionals 104 hours to
develop such a plan, we estimate each competition would require 1,248
burden hours for all 9 OPOs to complete 12 plans and would cost all 9
OPOs $79,416 (($71 RN x 30 hours x 9 OPOs) + ($71 organ procurement
coordinator x 30 hours x 9 OPOs) + ($107 medical director x 12 hours x
9 OPOs) + ($107 OPO director x 30 x 9 OPOs) + ($35 medical secretary x
2 hours x 9 OPOs)). For the annual burden, each of these figures needs
to be divided by 4, since competition for open service areas will
typically occur every 4 years. Thus, the annual burden hours for all 9
OPOs to prepare 12 plans would be 312 (1,248/4) and the annual cost
estimate would be $19,854 ($79,416/4).
B. ICRs Regarding Condition: Reporting of Data (Sec. 486.328)
We are proposing to revise Sec. 486.318 to eliminate the reporting
of the ``Number of eligible deaths'' and modify the reporting of
``Number of eligible donors'' to ``Number of donors.'' Although the
current outcome measures include the potentially burdensome OPO self-
defined and self-reported ``eligible deaths'' for evaluation purposes,
the current information collection request for the OPO requirements
(OMB Control Number 0938-0688, Exp. February 2021) does not attribute
any burden to this requirement. This is because the type of data and
how it is reported to the OPTN is already covered by the information
collection requirements associated with the OPTN final rule (42 CFR
121). Thus, we are not attributing any quantifiable burden reduction to
this proposed change.
C. ICRs Regarding Quality Assessment and Performance Improvement (Sec.
486.348)
At Sec. 486.348(d) we are proposing to require that OPOs include a
process to evaluate and address their outcome measures in their QAPI
program if their rates are statistically significantly lower than the
top 25 percent at each assessment. Assessments would occur at least
every 12 months with the most recent prior 12 months of available data,
meaning there would be 3 assessments in each 4 year re-certification
cycle that might require modifications to an OPO's QAPI program.
As stated in the information collection request for the OPO
requirements (OMB Control Number 0938-0688, Exp. February 2021), we
believe the information collection requirements associated with
maintaining a QAPI program are exempt as defined in 5 CFR 1320.3(b)(2)
because the time, effort, and financial resources necessary to comply
with this collection of information would be incurred by persons in the
normal course of their activities. Accordingly, we do not believe this
proposed change would
[[Page 70640]]
impose any additional ongoing quantifiable burden.
If you comment on these information collection, that is, reporting,
recordkeeping or third-party disclosure requirements, please submit
your comments electronically as specified in the ADDRESSES section of
this proposed rule.
Comments must be received on/by February 21, 2020.
IV. 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.
V. Regulatory Impact Analysis
A. Statement of Need
All major government regulations should undergo periodic review to
ensure that they do not unduly burden regulated entities or the
American people, and that they accomplish their goals effectively and
efficiently. It has been apparent for a number of years that the
current system for organ donation and the rules under which OPO
performance is measured do not create the necessary incentives to
optimize organ donation and transplantation as evidenced by performance
discrepancies among OPOs, the wide geographic and population diversity
among both higher- and lower-performing OPOs, and the significant gap
between the number of potential organ donors and the number of actual
donors (see the following Tables 3 and 4). Recent article titles tell
the story as well: ``Reforms to Organ Donation System Would Save
Thousands of Lives, Millions of Taxpayer Dollars Annually,'' ``Lives
Lost, Organs Wasted,'' and ``A Simple Bureaucratic Organ Donation Fix
Will Save Thousands of Lives.'' \24\ All three of these articles
include, or reference, in-depth studies of the current organ donation
system's problems and discuss reforms that could increase its
performance. These problems and the reforms needed to improve organ
donation and transplantation have multiple dimensions, including the
underperformance of many OPOs to procure and place organs at the levels
of the best-performing OPOs and is the basis for President Trump's July
10, 2019 Executive Order on Advancing American Kidney Health, to
``increase access to kidney transplants by modernizing the organ
recovery and transplantation systems and updating outmoded and
counterproductive regulations.''
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\24\ These articles were written by and published in: Goran
Klintman, RealClearHealth, March 4, 2019; Kimberly Kindy, Lenny
Bernstein, and Dan Keating, Washington Post, December 20, 2018; and
Laura and John Arnold, STAT, July 24, 2019.
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We note that the Secretary recently issued a final rule to reduce
regulatory burden on several types of health care providers (``Medicare
and Medicaid Programs; Regulatory Provisions To Promote Program
Efficiency, Transparency, and Burden Reduction; Fire Safety
Requirements for Certain Dialysis Facilities; Hospital and Critical
Access Hospital (CAH) Changes To Promote Innovation, Flexibility, and
Improvement in Patient Care,'' 84 FR 51732, September 30, 2019) that
directly addresses the same policy concern. Under that final rule,
performance standards for transplant hospitals were revised to reduce
the practice of transplanting only the best organs in the healthiest
patients and allowing transplantable organs to be discarded and sicker
patients to die without a transplant. Those performance standards
rewarded very high one-year organ and patient survival rates by
threatening program closure to hospitals that did not achieve such
rates. In so doing, those performance standards gave no weight to
maximizing treating the many patients on the waiting lists whose lives
would be saved, even at a higher risk of failure. As discussed in the
regulatory impact analysis (RIA) for CMS-3346-F, there is the potential
for regulatory reform to reduce the number of ``transplant quality''
discarded organs, and through transplantation of those organs, save the
lives of many patients each year.
Finally, the Executive Order directs the Secretary of HHS as
follows: ``Within 90 days of the date of this order, the Secretary
shall propose a regulation to enhance the procurement and utilization
of organs available through deceased donation by revising Organ
Procurement Organization (OPO) rules and evaluation metrics to
establish more transparent, reliable, and enforceable objective metrics
for evaluating an OPO's performance.'' That directive applies directly
to this proposed rule.
B. Scope of Review
We have examined the impacts of this proposed rule as required by
E.O. 12866 on Regulatory Planning and Review (September 30, 1993), E.O.
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),
E.O. 13132 on Federalism (August 4, 1999), the Congressional Review Act
(5 U.S.C. 804(2)) and E.O. 13771 on Reducing Regulation and Controlling
Regulatory Costs (January 30, 2017).
E.O. 13771 states that it is essential to manage the costs
associated with the government imposition of private expenditures
required to comply with federal regulations and establishes policies
and procedures to reduce the costs of both new and existing federal
regulations. 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 E.O. 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 E.O.
An RIA must be prepared for major rules with economically
significant effects ($100 million or more in any one 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 an RIA that to
the best of our ability presents the costs and benefits of this
rulemaking.
C. Effects on OPO Performance
We are proposing two new outcome measures that would be used to
assess an OPO's performance: A measure of an OPO's donation rate and
organ
[[Page 70641]]
transplantation rate. Table 3 shows current performance using the
donation rate outcome measure that we propose derived from data
spanning January 1, 2017 to December 31, 2017. The number of potential
donors is similar to the measure used in the current regulatory
provisions (on numbers of deceased persons that potentially qualify as
organ donors, but the proposed measure would be nationally
standardized, using an objective data source); however, the performance
variable is the number of actual donors who had at least one organ
transplanted, regardless of the number of organs that each provides.
This measure focuses on the key task of obtaining family consent,
clinically managing the donor, and arranging for the actual surgical
and handling procedures involved in getting at least one organ from the
deceased donor to placement in a patient on a waiting list. Hearts,
lungs, kidneys, intestine, and pancreata (those transplanted or sent
for research) count towards this measure of success.
In the tables that follow, the first two digits of the letters in
parentheses are, in most cases, the primary state of the OPO. Some OPOs
serve more than one state, and some states have more than one OPO. We
are also including, in the Appendix, a map for each proposed measure
that depicts geographic trends in performance. In a few cases in the
tables below, we have abbreviated an OPO name to improve simplicity of
presentation. For a complete OPO listing and additional information,
see the following link: https://optn.transplant.hrsa.gov/members/member-directory/?memberType=Organ%20Procurement%20Organizations.\25\
These tables show the performance required of each OPO to reach the
proposed performance standard, including an allowance for statistical
``confidence'' (one-tailed test), for the OPOs that fell below the
standard. Confidence intervals are calculated based on test statistics
derived from the assumed binomial and Poisson distribution for the
donation rate and transplant rate, respectively. Specifically, the
Wilson score interval with continuity correction (Newcombe 1998) is
used to calculate the confidence interval for the donation rate of each
OPO. The Wilson and Hilferty formula (Wilson and Hilferty 1931, Breslow
and Day 1987, Kulkarni and Hemangi 2012) is used to calculate the
confidence interval for the transplant rate of each OPO.
---------------------------------------------------------------------------
\25\ Some of these OPOs have changed names in recent years, so
some other published lists may be out of date. However, the codes
shown in parentheses in our tables have not changed.
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We are committed to using all available data to continue our
analysis of OPO performance, including, where possible, historical
trends in OPO performance; a range of potential outcomes, including a
scenario where high performers remain at steady state; and year over
year OPO performance and distribution of scores and improvements within
the past two certification cycles, using the proposed metrics.
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Table 4 shows the current range of organ transplantation
performance, using the new proposed standard of measuring the total
number of organs transplanted from deceased donors (including all
transplanted organs from each donor) as a percentage of the same donor
potential used for the donation rate.\26\ According to the NCHS, there
are about 2.8 million deaths each year in the U.S., but the potential
donor pool is far lower because it only includes those who die in
hospitals, who are age 75 or less, and who have no contraindications to
donation (such as metastatic cancers). Table 4 shows that organ
transplantation rates range from 19.44 at the highest levels to 4.47
(using data from calendar year 2017), a range of about four to one from
highest to lowest. The top one-fourth of OPOs achieve rates above 12
donors/100 inpatient deaths, more than double the rates of many lower
performing OPOs. The top-performing OPOs are geographically and
demographically diverse, with potential donor pools ranging from about
2,000 deaths a year to almost 10,000 a year. We recognize that some
OPOs have fewer transplant programs within their service areas than
others, but allocation policies allow OPOs to place organs outside
their DSA. The organ match run, which lists all potential recipients
for a donated organ, includes eligible patients on the waiting list for
that particular organ and organs are often offered to hospitals outside
of the DSAs in which the organs were procured.
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\26\ These results would look similar if we used the current
estimates of ``eligible'' deaths but would be an imperfect
comparison since that is not a standardized measure.
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Both proposed outcome measures address multiple goals not met by
the current requirements: (1) They can be uniformly applied across all
OPOs; (2) they capture not only success in obtaining donors but also
success in placing as many organs as possible; (3) they capture the
entire pool of possible donors (not the pool as determined separately
by each OPO); (4) they adjust for the geographic differences in the
number and causes of death; and (5) they meet central necessities for a
workable performance standard that exhibits uniformity, timeliness, and
stability year-to-year. Of particular importance, these measures would
replace the non-standardized criteria for ``eligible'' donors as
determined by each OPO. The existing denominator standard allows OPOs
to exclude from the calculated potential donor pool those cases where
the next-of-kin did not authorize donation, a crucial task we believe
all OPOs should be effective and continually improving at. For an
extensive discussion of these and related issues, see ``Changing
Metrics of Organ Procurement Organization Performance in Order to
Increase Organ Donation Rates in the United States.'' \27\ The proposed
measures do not control for every variable that can affect OPO
performance for reasons beyond its control. For example, states without
motorcycle helmet laws have higher rates of accidents that create
potential donors. Some DSAs have greater transplant hospital
competition than others, and more competition for transplantable organs
is associated with greater use of organs that might otherwise be
discarded.\28\ Regardless, it is our belief that the untapped donor and
organ potential is sufficiently large in every DSA so that every OPO
has
[[Page 70648]]
both potential donors, organs, and transplant recipients to exceed its
current performance level.
---------------------------------------------------------------------------
\27\ Goldberg D, et al, ``Changing Metrics of Organ Procurement
Organization Performance in Order to Increase Organ Donation Rates
in the United States,'' AmJTransplant 2017; 17:3183-3192.
\28\ Adler, et al ``Is Donor Service Area Market Competition
Associated with Organ Procurement Organization Performance?''
Transplantation 2016; 100; 1349-1355.
---------------------------------------------------------------------------
Tables 3 and 4 also show a very important quantitative result: At
present, there are about 10,000 deceased donors a year, which is only
about three percent of the 272,000 potential donors in 2017.
Importantly, the proposed criteria for potential donors already exclude
many deaths, and focus on decedents with greater potential to provide
transplantable organs. Hence, all OPOs will have a pool of potential
donors many times higher than the number of donors and organs needed to
meet the proposed performance standards.
If the number of donors at the lower-performing OPOs were to reach
what is now the 75th percentile of achievement, the number of donors
would increase by over one thousand by the end of the four-year
performance period. Both through this increase, and greater success in
maximizing the number of organs actually transplanted from each donor,
achieving the 75th percentile for the transplant rate would increase
the number of such transplants from about 32,000 by as many as 6,000 by
2024, and by as many as 10,000 by 2026, for a total of about 42,000 in
that year (see Table 12). Achieving higher success rates would be
unlikely to occur in just the lower performers, and these estimates
assume improvements at all current levels of performance as better
techniques and methods are identified and widely adopted. For example,
there have been major recent improvements in perfusion techniques used
to preserve kidneys and extend the time period allowed between donation
and transplantation. This technology rewards focusing efforts on
extending the placement of organs beyond local areas for appropriate
transplant candidates on waiting lists. These techniques are available
to all OPOs, but have not been adopted by all OPOs. There may be future
improvements as well, but our estimates do not assume any major
breakthroughs will be routinely available in the near term. In
September 2019, the National Institutes of Health reported that a new
method of preserving livers for transplantation would potentially
increase the viability of livers from nine to 27 hours, but this is
still in a development stage.\29\ Our estimates in Tables 5 and 6
assume that all OPOs would achieve either the 75th percentile targets,
or increase performance on both measures by 20 percent, whichever is
greater.
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\29\ https://www.nih.gov/news-events/news-releases/scientists-triple-storage-time-human-donor-livers.
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Nothing guarantees that all OPOs will manage to meet the standards
if finalized as proposed. But, the administrative steps we propose to
take, the periodic assessments, and the incentives for an OPO to
maintain certification at the end of the four-year evaluation period
will provide both means and incentives for all OPOs to meet or exceed
our proposed standards. Furthermore, there is no need to wait until the
end of the four-year period to take action regarding any OPOs that are
underperforming. With continuous assessment and public disclosure of
the information, OPOs who cannot achieve the outcome measures may
decide to voluntarily de-certify and allow a high-performing OPO to
take over the DSA, even before the end of the re-certification cycle or
form a partnership with a high-performing OPO and allow that OPO to
take over the management of the DSA. Our low-end cost and performance
calculations assume that this could be avoided through adoption of
proven techniques and improved leadership and management by lower-
performing OPOs, because careful planning and implementation of de-
certification and OPO replacement actions could ease such transitions.
The new proposed outcome measures and performance expectations will
give each OPO both the opportunity and market incentives to assess its
performance and motivate the widespread adoption of best practices.
While we cannot predict future achievement levels, we have
developed a hypothetical scenario that we believe is likely to nearly
achieve HHS' 2030 target in 2026 (with 4 years remaining to attain that
goal) and that we can use in estimating benefits and costs while
allowing for either higher or lower results. In Tables 5 and 6, we show
the results of all OPOs achieving the minimum performance requirements,
or improving by 20 percent, whichever is greater, by 2026. These
projections are estimates and are subject to change based on future
events and decisions, but fall within the improvement ranges seen in
recent years in some OPOs, as well as the consistently high performance
levels in many OPOs. Additionally, for these projections we assume CMS
monitors OPO performance as frequently as every 12 months, using
nationally consistent and timely data in both the numerator and
denominator of performance measures, and intervening when the
performance lags. Finally, these projections reflect the direct
incentives to both OPOs and transplant hospitals to improve donation
and transplantation rates from older donors to older patients, which
will ultimately facilitate the utilization of the large number of
discarded, but transplantable, organs. In assessing this scenario,
about 85 percent of all potential donors would still be potential
rather than actual donors. These potential donors are concentrated
among those in the age range of 55 to 74, but the vast majority of them
could provide organs of transplant quality if donated. In this regard,
it is important to note that according to OPTN and NCHS mortality data,
donation rates are highest among the young and far lower among
potential donors in their 50s, 60s, and early 70s.\30\ With advances in
successful utilization of organs from older donors, we believe the
upward potential for both donation and transplantation is higher than
shown in tables 5 and 6.
---------------------------------------------------------------------------
\30\ Organ donors <50 make up approximately 67 percent of
donors, but make up less than 10 percent of deaths.
---------------------------------------------------------------------------
Table 5 shows all OPOs achieving the minimum standard, or a 20
percent increase, whichever is greater. With these parameters, the
number of annual donors would rise from about 10,000 in 2017 to over
12,000 by 2026.
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Table 6 shows a similar magnitude of change for rates of
transplantation. It shows an increase in the number of transplants, and
a performance of achieving the minimum standard, or a 20 percent
increase, whichever is greater. With these parameters, the number of
annual transplants would rise from about 32,000 in 2017 to almost
42,000 by 2026. (By contrast, Table 4 shows that, in isolation,
achievement of the proposed minimum standard would yield 4,903
additional transplants per year, roughly half the 9,474 [= 41,647-
32,173] implied by Table 6.)
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While there is no certainty that these or higher levels of
performance will be realized, there is additional evidence beyond the
known performance levels of the higher-achieving OPOs. A recent study
compared French and American organ utilization in the period from 2004
to 2014.\31\ This study showed that the discard rate for kidneys from
deceased donors was about nine percent in France and 18 percent in the
U.S. The lower discard rate reflected a far greater use in France of
kidneys from older donors that had inferior ``kidney donor risk index''
(KDRI) scores. The mean age of donor kidneys in France was 51 years and
in the U.S., 37 years. Despite the higher use of seemingly less
desirable organs, the study estimates that had the U.S. used French
practices, there would have been about 132,000 additional years of
graft (and patient) survival in the U.S. While most European countries
use mandatory nation-wide ``opt-out'' rather than ``opt-in'' policies
and hence more strongly encourage organ donation than in the U.S.
(where no states use ``opt-out''), a recent study shows that this
policy does not explain European success rates and that many American
states have organ donation rates higher than many European
countries.\32\ One important policy difference that does seem to matter
is that in France, as in most other European countries, organs from
older donors are systematically matched for use by older patients,
[[Page 70655]]
without penalizing transplant programs for the lower success rates that
inevitably result.\33\ These results strongly suggest that with the
regulatory penalties removed on transplant centers that do not achieve
the highest possible one-year graft and patient survival outcomes (as
discussed in the proposed rule, ``Medicare and Medicaid Programs;
Regulatory Provisions To Promote Program Efficiency, Transparency, and
Burden Reduction'' 83 FR 47686) and with the greater accountability for
OPO performance proposed in this rule, performance results such as
those achieved in France could be achievable in the U.S.
---------------------------------------------------------------------------
\31\ Olivier Aubert et al, ``Disparities in Acceptance of
Deceased Donor Kidneys Between the United States and France and
Estimated Effects of Increased U.S. Acceptance,'' JAMA Intern Med.
Doi:10:1001/jamainternmed.2019.2322.
\32\ Alexandra Glazier and Thomas Mone, ``Success in Opt-In
Organ Donation Policy in the United States,'' August 8, 2019,
doi:10.1001/JAMA.2019.9187.
\33\ See Olivier Aubert, et al.
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D. Anticipated Costs and Benefits
There are intrinsic connections between the costs and benefits
examined in this section. Consider, for instance, the relatively low
costs for OPOs and other entities in the health care industry set forth
in the ``Implementation and Continuing Costs'' subsection; such low
magnitudes are plausible primarily if OPO decertification is very rare.
Without a credible threat of decertification, OPO behavior change may
be minimal, in which case low costs would be accompanied by low
longevity benefits and medical expenditure impacts (significantly lower
than the estimates appearing below in Tables 11R and 12R).
An opposite case is one in which decertification is common, thus
motivating OPO behavior change and making non-negligible benefits
plausible. OPOs undergoing management change would experience
transition costs that are substantial (although difficult to quantify).
Broader societal transition costs could include reduced organ recovery
while the decertification process unfolds, even if improved practices
increase transplant activity in the medium- to long-term.
1. Effects on Medical Costs. In the estimates that follow, we rely
primarily on recent estimates by staff of the actuarial and consulting
firm Milliman. Their study, ``2017 U.S. Organ and Tissue Transplant
Cost Estimates and Discussion'' compares charges before, during, and
after transplantation for all major and minor categories of
transplant.\34\ The advantage of these estimates for our purposes is
that they cover the pre-, intra-, and post-transplant costs on all
organs using a consistent cost-estimating methodology. Unfortunately,
accurate medical cost estimates are not publicly available from health
insurance firms, since the network discounts received by private firms
are generally treated as trade secrets, and Medicare's payments are
typically not based directly on costs (with some exceptions, including
payments to OPOs). Hence, Milliman uses ``charges'' for its estimates.
As with likely excess of charges over costs, there's a netting off of
non-transplantation costs--that is, costs associated with organ failure
that are not affected by transplantation itself. For estimating
purposes, we assume that these divergences between costs and charges
largely cancel each other out, but that the net effect is that actual
costs are about 20 percent less than the Milliman charge estimates.
---------------------------------------------------------------------------
\34\ T. Scott Bentley and Steven J. Phillips, 2017, available to
download at https://www.milliman.com/insight/2017/2017-U_S_-organ-and-tissue-transplant-cost-estimates-and-discussion/.
---------------------------------------------------------------------------
In analyzing the medical costs of the proposed rule, we first
estimate the costs per transplant of the three most common organ
transplants: Kidneys, livers, and hearts. Between them, they account
for about 90 percent of all transplants. Kidneys alone are over 60
percent of all organs transplanted. Table 7 shows the data for hearts:
Table 7--First Year Cost per Heart Transplant ($)
----------------------------------------------------------------------------------------------------------------
Immuno-
Milliman Likely excess Assumed non-TX suppressive Net transplant
Heart charge of charges costs drugs (six cost
estimate over costs months)
----------------------------------------------------------------------------------------------------------------
30 days pre-transplant.......... 43,000 9,000 20,000 0 14,000
Procurement..................... 102,000 0 0 0 102,000
Hospital Transplant Admission... 887,000 177,000 0 0 710,000
Physician During Admission...... 92,000 18,000 0 0 74,000
180 Days Medical Post Discharge. 223,000 45,000 60,000 0 118,000
180 Days Drugs Post Discharge... 34,000 7,000 10,000 15,000 32,000
-------------------------------------------------------------------------------
Total....................... 1,381,000 256,000 90,000 15,000 1,050,000
----------------------------------------------------------------------------------------------------------------
As shown in Table 7, the one-time cost of a heart transplant is
just over one million dollars after adjusting charges to costs and
reducing the estimates to account for medical and drug costs, both pre-
and post-discharge, that are unlikely to be transplant-related.
Table 8--First Year Cost per Liver Transplant ($)
----------------------------------------------------------------------------------------------------------------
Immuno-
Milliman Likely excess Assumed non-TX suppressive Net transplant
Liver charge of charges costs drugs (six cost
estimate over costs months)
----------------------------------------------------------------------------------------------------------------
30 days pre-transplant.......... 41,000 8,000 10,000 0 23,000
Procurement..................... 94,000 0 0 0 94,000
Hospital Transplant Admission... 463,000 93,000 0 0 370,000
Physician During Admission...... 56,000 11,000 0 0 45,000
180 Days Medical Post Discharge. 127,000 25,000 60,000 0 42,000
180 Days Drugs Post Discharge... 31,000 6,000 10,000 15,000 30,000
-------------------------------------------------------------------------------
Total....................... 812,000 143,000 80,000 15,000 604,000
----------------------------------------------------------------------------------------------------------------
[[Page 70656]]
Table 8 shows the estimated average cost for a liver transplant,
estimated on the same basis. Table 9 estimates kidney transplant costs,
with an additional adjustment. In the case of a kidney transplant,
there is an off-setting saving for the elimination of ESRD kidney
dialysis costs. This is a substantial saving and in the first year
alone, saves about one-third of the estimated transplant cost.
Table 9--First Year Cost per Kidney Transplant ($)
--------------------------------------------------------------------------------------------------------------------------------------------------------
Immuno-
Milliman Likely excess Assumed non-TX suppressive Net transplant Annual Net first year
Kidney charge of charges costs drugs (six cost subtotal dialysis costs cost
estimate over costs months) avoided
--------------------------------------------------------------------------------------------------------------------------------------------------------
30 days pre-transplant.................. 30,000 (6,000) (10,000) 0 14,000 0 14,000
Procurement............................. 97,000 0 0 0 97,000 0 97,000
Hospital Transplant Admission........... 159,000 (32,000) 0 0 127,000 0 127,000
Physician During Admission.............. 25,000 (5,000) 0 0 20,000 0 20,000
180 Days Medical Post Discharge......... 75,000 (15,000) (60,000) 0 0 * (90,000) (90,000)
180 Days Drugs Post Discharge........... 29,000 (6,000) (10,000) 15,000 28,000 0 28,000
---------------------------------------------------------------------------------------------------------------
Total............................... 415,000 (64,000) (80,000) 15,000 286,000 (90,000) 196,000
--------------------------------------------------------------------------------------------------------------------------------------------------------
* Estimated annual dialysis costs.
Using these results, it is possible to estimate the extended
effects of added and reduced costs over time. In Table 10 we provide a
5-year projection, giving both results for a patient who survives all 5
years with the transplanted organ, and the same estimate adjusted to
assume only an 80 to 90 percent patient and organ survival rate for the
full 5 years (the higher rate is for kidneys). These estimates do not
account for all the varied circumstances that can arise, such as
patients whose organs fail and who are then re-transplanted. They
include the costs of immunosuppressive drugs. In the case of kidney
transplants, the estimates assume a savings of $90,000 for ending
dialysis, offset by a $30,000 cost for the immunosuppressive drugs. The
weighted results take into account that kidneys account for about 65
percent of transplants for these three organs. As shown in the table,
kidney transplants actually save money for the patients who survive the
full 5-year period.
Table 10--Five Year Costs per Weighted Average Transplant ($)
----------------------------------------------------------------------------------------------------------------
All three
Heart Liver Kidney organs
weighted
----------------------------------------------------------------------------------------------------------------
Annual Percent of Total TX...................... 11% 24% 65% 100%
First Year...................................... 1,050,000 604,000 196,000 387,860
Second Year..................................... 20,000 20,000 (60,000) (32,000)
Third Year...................................... 20,000 20,000 (60,000) (32,000)
Fourth Year..................................... 20,000 20,000 (60,000) (32,000)
Fifth Year...................................... 20,000 20,000 (60,000) (32,000)
---------------------------------------------------------------
Total....................................... 1,130,000 684,000 (44,000) 259,860
---------------------------------------------------------------
80 to 90% Survival Total *.................. 1,122,000 676,000 (20,000) 272,660
----------------------------------------------------------------------------------------------------------------
* Rate is higher for kidneys than for other organs. All deaths are assumed to occur prior to Year 2 (that is,
before any dialysis-related savings can accrue).
An annually growing performance increase to about 8,000 additional
transplants in the last year of the next four-year OPO performance
period would be essential in order to have enough growth in the second
half of the decade to meet the HHS' 2030 goal of doubling the number of
kidneys available for transplants. As Table 11 shows, that will require
multi-billion dollar increases over current transplant spending levels
by the middle of the next decade (and far more by 2030). As we show in
our benefit estimates, these levels are exceeded by the life-saving and
life-extending benefits of these additional transplants. As discussed
later in this analysis, most of the cost increases we estimate in this
proposed rule are reimbursed by private payers, not by Medicare.
HHS has set a quantitative goal of doubling the number of kidneys
available for transplant by 2030. While there are multiple pathways to
achieve this goal, such as increasing the number of living donors,
avoiding penalizing transplant programs for using kidneys with lower
likelihood to transplantation success, and improving techniques for
maintaining organs during the time before transplantation to reduce
discards of organs shared outside the DSA, the main approach for
achieving this ambitious goal is to increase the number of deceased
donors. This will require continuing improvements over time, and we
have estimated the approximate numbers that would have to be achieved
in the next four-year OPO performance period to move about half way
towards an annual increase of approximately 20,000 more kidneys
available and (assuming a reduction in discard rates) approximately
16,000
[[Page 70657]]
more kidney transplants by 2030, as shown in Table 11.
In Tables 11 and 12 we show the annual results as each cohort of
new transplants arrives over the OPO performance period from 2021 to
2025. These estimates include totals for all organs since one deceased
donor normally provides multiple organs. The 10,000 increase shown for
2025 includes about 6,500 kidneys transplanted. These figures assume a
5-year patient and graft survival rate of 90 percent for kidney
transplants. As can be seen, the costs grow substantially with each new
cohort. These tables include an extra column for 2026 that shows the
effects of these same cohorts alone in the sixth year. While total
costs grow over time with each new and larger cohort of new
transplants, the savings from reduced kidney dialysis costs from
previous kidney transplants grow over time, as do the benefits for
those patients whose lives were both extended and improved by
transplantation.
Table 11--Costs Over Time as Organ Transplants Hypothetically Increase
[$ millions]
--------------------------------------------------------------------------------------------------------------------------------------------------------
Year 2021 2022 2023 2024 2025 2026
--------------------------------------------------------------------------------------------------------------------------------------------------------
Increase Over Base Year in Number 1,000 3,000 6,000 8,000 10,000 Same Cohorts
Transplants.
Costs for 2021-2 Cohort................. $388 ($29) ($29) ($29) ($29) ($29)
Costs for 2022-3 Cohort................. .............. $1,164 ($86) ($86) ($86) ($86)
Costs for 2023-4 Cohort................. .............. .............. $2,327 ($173) ($173) ($173)
Costs for 2024-5 Cohort................. .............. .............. .............. $3,103 ($230) ($230)
Costs for 2025-6 Cohort................. .............. .............. .............. .............. $3,879 ($288)
---------------------------------------------------------------------------------------------------------------
Total............................... $388 $1,135 $2,212 $2,815 $3,360 ($806)
--------------------------------------------------------------------------------------------------------------------------------------------------------
We note that the expenditure data include procurement costs, which
average almost $100,000 per organ transplanted across all three organ
types. Accordingly, a cohort of 1,000 patients would involve total
procurement costs of about $100 million, and a cohort of 8,000 patients
about $800 million. These data do not include all organ types, nor all
cost savings (notably end-of-life costs), but are a reasonable
approximation to the magnitudes involved. The great bulk of the
procurement costs are paid to OPOs and finance not only direct
involvement with donor families and donations, but also management and
direction of the OPO.
Our estimates also do not include costs of changes in treatment
options for both liver and heart patients, including new drug
treatments for hepatitis C, one of the main causes of liver failure,
and heart assist devices that can serve as a bridge while waiting for a
heart transplant.
Table 11R shows estimates using the same per-transplant inputs but
with aggregates reflecting the 4,903 new annual transplants shown in
Table 4; impacts are assumed to begin in 2023 because existing OPO
contracts run through 2022, thus preventing any decertification before
then. (We note that a steady new transplant level may be an
oversimplification because the proposed policy, setting a threshold at
the 75th percentile performance amongst OPOs, could lead to a continual
ratcheting of the performance necessary for compliance, and we request
comment that would allow for such year-to-year changes to be reflected
in our analysis.) These estimates feed into the upper bound estimates
that appear in the accounting statement (Table 19), below.
Table 11R--Costs Over Time as Organ Transplants Increase
[$ millions]
--------------------------------------------------------------------------------------------------------------------------------------------------------
Year 2021 2022 2023 2024 2025 2026
--------------------------------------------------------------------------------------------------------------------------------------------------------
Increase Over Base Year in Number 0 0 4,903 4,903 4,903 Same Cohorts
Transplants.
Costs for 2023-4 Cohort................. .............. .............. $1,902 ($142) ($142) ($142)
Costs for 2024-5 Cohort................. .............. .............. .............. $1,902 ($142) ($142)
Costs for 2025-6 Cohort................. .............. .............. .............. .............. $1,902 ($142)
---------------------------------------------------------------------------------------------------------------
Total............................... $0 $0 $1,902 $1,760 $1,618 ($427)
--------------------------------------------------------------------------------------------------------------------------------------------------------
2. Effects on Patients. Every organ that is used for
transplantation has a very high probability of substantially extending
the life of the recipient. There is extensive literature on life
expectancy before and after transplant, quality of life, and cost
savings for kidney patients. A recent literature synthesis found
essentially universal agreement that kidney transplants were not only
substantially life extending, but also cost reducing.\35\ The authors
performed an extensive literature search and found that from 1968 to
2007, seventeen studies assessed the cost-effectiveness of renal
transplantation. The authors concluded that ``[r]enal transplantation .
. . is the most beneficial treatment option for patients with end-stage
renal disease and is highly cost-effective compared to no therapy. In
comparison to dialysis, renal transplantation has been found to reduce
costs by nontrivial amounts while improving health both in terms of the
number of years of life and the quality of those years of life'' (page
31). More recent studies have reached similar conclusions, as have
other syntheses. For example, in the article, ``Systematic Review:
Kidney Transplantation Compared with Dialysis in Clinically Relevant
Outcome,'' the authors reviewed 110 studies and
[[Page 70658]]
concluded that the vast majority of kidney transplant recipients showed
major improvement in life quality and reductions in mortality compared
to those remaining on dialysis.\36\ The Annual Data Report of the
United States Renal Data System utilizes national data on ESRD, and
reports that deaths per 1,000 patient years in 2016 were about 134 for
dialysis patients and about 29 for transplant recipients (see 2018
report, volume 2, Figure 5.1; accessed at https://www.usrds.org/adr.aspx and https://www.usrds.org/2018/download/v2_c05_Mortality_18_usrds.pdf). There are similar data on other organs.
For example, in 1998, HHS published a final rule with comment period
that established governance procedures for the OPTN (63 FR 16296). In
the RIA for that rule, HHS estimated that ``the annual benefits of
organ transplantation include about eleven thousand lives vastly
improved by kidney transplantation, and another eight thousand lives
both vastly improved and prolonged by transplantation of other major
organs'' (63 FR 16323).
---------------------------------------------------------------------------
\35\ Huang, E, et al,''The Cost-Effectiveness of Renal
Transplantation,'' When Altruism Isn't Enough, edited by Sally Satel
(AEI Press, 2008).
\36\ Tonelli M, et al, AmJTransplant 2011: 2093-2109.
---------------------------------------------------------------------------
Accordingly, the per-patient potential benefits are substantial.
For each new kidney transplant, there would be an average of 10
additional life years per transplant patient compared to those on
dialysis.\37\ Using the more usual metric of survival rates, the five-
year survival rate for kidney transplant patients is 86 percent
(Milliman, page 13).
---------------------------------------------------------------------------
\37\ Wolfe RA et al, ``Comparisons of Mortality in All Patients
on Dialysis, Patients on Dialysis Awaiting Transplantation, and
Recipients of a First Cadaveric Transplant,'' NEJM, 1999, 341:1725-
30; accessed at https://www.nejm.org/doi/full/10.1056/NEJM199912023412303#t=article).
---------------------------------------------------------------------------
HHS ``Guidelines for Regulatory Impact Analysis'' explain in some
detail the concept of QALYs.\38\ QALYS, when multiplied by a monetary
estimate such as the Value of a Statistical Life Year (VSLY), are
estimates of the value that people are willing to pay for life-
prolonging and life-improving health care interventions of any kind
(see sections 3.2 and 3.3 of the HHS Guidelines for a detailed
explanation). The QALY and VSLY amounts used in any estimate of overall
benefits, including this one, is not meant to be precise estimates, but
instead are rough statistical measures that allow an overall estimate
of benefits expressed in dollars.\39\
---------------------------------------------------------------------------
\38\ https://aspe.hhs.gov/pdf-report/guidelines-regulatory-impact-analysis.
\39\ Using such a measure to make coverage or reimbursement
determinations is prohibited by Section 1182(e) of the Act. That
prohibition does not apply to the situation addressed in this
proposed rule, where the purpose is not to determine medical
coverage for individual patients, but to measure overall success in
raising the number of persons who obtain life-saving treatments.
---------------------------------------------------------------------------
Table 12 provides estimates of the life-extending and life-
improving value of the proposed rule assuming that it succeeds in
improving OPO performance in early years at the magnitudes necessary to
meet the 2030 HHS goal. For simplicity, we estimate that transplants
occur halfway through the year.
Table 12--Life-Extending and Improving Benefits Over First 5 Years as Transplants Hypothetically Increase
[$ millions]
--------------------------------------------------------------------------------------------------------------------------------------------------------
Year 2021 2022 2023 2024 2025 2026
--------------------------------------------------------------------------------------------------------------------------------------------------------
Increase Over Base Year in Number 1,000 3,000 6,000 8,000 10,000 Same Cohorts.
Transplants.
2021-2 Cohort........................... $94 $187 $187 $187 $187 $187.
2022-3 Cohort........................... .............. $281 $562 $562 $562 $562.
2023-4 Cohort........................... .............. .............. $562 $1,123 $1,123 $1,123.
2024-5 Cohort........................... .............. .............. .............. $749 $1,497 $1,497.
2025-6 Cohort........................... .............. .............. .............. .............. $936 $1,872.
---------------------------------------------------------------------------------------------------------------
Total............................... $94 $468 $1,310 $2620 $4,305 $5,241.
--------------------------------------------------------------------------------------------------------------------------------------------------------
This table shows only the first 5 years of increasing transplants,
with an extra year added with no new cohort to illustrate how the
benefits for each group grow over time. Over a ten year period, total
life extending benefits from about 18,000 additional kidney transplants
would be $23 billion (without discounting) from the 2021 to 2025
cohorts of additional transplants shown in Table 12 (28,000 organs
times 65 percent of which are kidneys times \2/3\ patient survival rate
times $1 million per surviving transplant recipient in life extending
benefits = $23 billion). A similar calculation for all additional
transplant recipients reaches a total of $35 billion over ten years,
with even more years of benefits to most of the same recipients yet to
come.\40\
---------------------------------------------------------------------------
\40\ This method of calculating the value of kidney
transplantation is similar to but substantially simplified from the
method used in P.J. Held et al, ``A Cost-Benefit Analysis of
Government Compensation of Kidney Donors,'' American Journal of
Transplantation, 2016, pages 877-885 (plus 65 pages of supplementary
details explaining all assumptions, data sources, and calculations).
Factors for Hearts and Livers come from Elisa F. Long et al,
``Comparative Survival and Cost-Effectiveness of Advance Therapies
for End-Stage Heart Failure,'' https://circheartfailiure.ahajournals.org, April 7, 2017; and Fredrik Aberg
et al, ``Cost of a Quality-Adjusted Life Year in Liver
Transplantation: The Influence of the Indication and the Model for
End-Stage Liver Disease Score,'' Liver Transplantation 17:1333-1343,
2011.
---------------------------------------------------------------------------
We note that these estimates are averages across patients who vary
widely in age, medical condition, and life expectancy, as well as type
of organ failure. For example, the sickest patients typically have very
low life expectancies without transplant, and hence stand to gain the
most years of life from a transplant. Offsetting this, these same
patients, on average, have slightly lower survival rates post-
transplant. Organ and patient survival issues are complex and dealt
with by detailed policies and procedures developed and used by the
transplant community. These policies are reviewed and revised
frequently based on actual experience and changing technology--over
time the success rate from previously marginal organs, and in older and
sicker patients, have both increased substantially. There are
additional complexities that we have not used in these broad estimates,
such as the ability of kidney transplant recipients to return to
dialysis if a transplanted kidney fails, leading to both additional
costs and additional benefits. For presentation purposes, we have not
discounted future costs and benefits to ``present value'' in the
preceding tables, but handle discounting in our annualized estimates
shown in the Accounting Table that follows. For
[[Page 70659]]
purposes of this analysis, the proper measure is the average gain
across all patients who would receive transplants in the presence of
the proposed rule but not in its absence.
Table 12R shows estimates using the same per-transplant inputs but
with aggregates reflecting the 4,903 new annual transplants shown in
Table 4; increases are assumed to begin in 2023 because existing OPO
contracts run through 2022, thus preventing any decertification before
then. (We note that a steady new transplant level may be an
oversimplification because the proposed policy, setting a threshold at
the 75th percentile performance amongst OPOs, could lead to a continual
ratcheting of the performance necessary for compliance, and we request
comment that would allow for such year-to-year changes to be reflected
in our analysis.) These estimates feed into the upper bound estimates
that appear in the accounting statement (Table 19), below.
Table 12R--Life-Extending and Improving Benefits Over First 5 Years as Transplants Increase
[$ millions]
--------------------------------------------------------------------------------------------------------------------------------------------------------
Year 2021 2022 2023 2024 2025 2026
--------------------------------------------------------------------------------------------------------------------------------------------------------
Increase Over Base Year in Number 0 0 4,903 4,903 4,903 Same Cohorts.
Transplants.
Costs for 2023-4 Cohort................. .............. .............. $461 $917 $917 $917.
Costs for 2024-5 Cohort................. .............. .............. .............. $461 $917 $917.
Costs for 2025-6 Cohort................. .............. .............. .............. .............. $461 $917.
---------------------------------------------------------------------------------------------------------------
Total............................... $0 $0 $461 $1,378 $2,295 $2,751.
--------------------------------------------------------------------------------------------------------------------------------------------------------
3. Implementation and Continuing Costs. The requirements of the
final rule, if issued, would necessarily have to be read, understood,
and implemented by all OPOs. This would create one-time costs even
though the proposed requirements would not directly create unreimbursed
cost burdens. In many cases, these costs would be very low, and may be
as simple as learning where the OPO stands in relationship to other
facilities in meeting the new performance standards. In some cases, the
OPO would need to significantly adjust its procedures and techniques.
In still other cases, time would have to be spent deciding how to
change existing policy and procedures. These effects would be felt
primarily by the 58 OPOs, but secondarily by the approximately 750
transplant programs in about 250 transplant hospitals. Many of these
hospitals would need to respond if OPOs implement new technologies or
procedures to optimize their performance. These costs, however, are
part of the acquisition costs associated with organ procurement and
would be paid by Medicare and other health insurers. Therefore, our
estimates assume that ongoing management operations will continue at
current levels and focus on costs needed to understand the new rules
and plan changes needed for compliance. We welcome comments on our
estimates as to skills and occupations involved, and time likely to be
spent.
In total, there are about 800 affected entities or programs. We
assume that on average there would be one hour of time spent by a
lawyer, two hours of time by an administrator or health services
manager, and two hours of time by other staff (we assume registered
nurses or equivalent in wage costs) of each affected provider to
understand the regulatory change(s) and make the appropriate changes in
procedures. We further assume that for one-tenth of these providers,
two hours of physician time would be needed to consider changes in
facility policy. Average hourly costs for these professions, with wage
rates doubled to account for fringe benefits and overhead costs, are
$139 for lawyers (occupation code 23-1011), $109 for medical and health
services managers (occupation code 11-9111), $89 for statisticians
(occupation code 15-2041), $73 for registered nurses (occupation code
29-1141), $56 for healthcare social worker (21-1022), and $203 for
physicians (occupation code 29-1060). The medical and health services
managers would include such occupations as transplant administrator,
organ procurement coordinator, and director of nursing. The
statistician might instead be a computer analyst or operations research
analyst at a similar wage. The underlying wage numbers are from BLS
statistics for 2018, at https://www.bls.gov/oes/current/oes_nat.htm#23-0000.
We assume that on average, an OPO would involve one person in each
occupation and an average of eight hours on an interdisciplinary team
tasked with learning the new rules, understanding their implications
for that OPO, and initiating plans to address performance levels. Total
costs, on average, would be $139 plus $109 plus $89 plus $73 plus $56
plus $203, for a total of $669 per hour and $5,352 (8 x $669) for eight
hours. For the 58 OPOs, the first-year cost would therefore be about
$310,000 (58 x $5,352). A somewhat different mix of occupations would
lead to a similar total cost. For transplant programs, we assume that
only half as many hours would be needed, using a similar mix of
occupations, for a total of $669 per hour and $2,676 ($669 x 4) for
four hours. For 750 transplant programs the total first year cost would
therefore be about $2,007,000 ($2,676 x 750).
There would also be continuing and far larger costs over time as
OPOs and hospitals manage the substantial increases in numbers of
donors and number of organs transplanted. These procurement costs are
included in the cost estimates shown in Tables 7 to 9 and summarized in
Tables 10 and 11, and average approximately $100,000 per organ. Each
additional 1,000 organs would cost about $100 million, with insurance
reimbursement and patient cost-sharing covering essentially all of
those costs (see the next section of the analysis). As procurement
grows, there would be two significant effects. First, there are
economies of scale as OPOs and hospitals expand their donor-related and
transplant services. Second, and more than offsetting such gains,
substantial improvements over time would require additional efforts.
Some OPOs would also likely incur additional costs as they consider and
in some cases prepare for such actions as mergers or replacements. For
both cost savings and cost increases, effects are primarily from
staffing changes; we assume there are relatively few fixed investments
in plant and equipment. And in both cases, current reimbursement
policies and programs pay for all reasonable costs. We welcome comments
and if possible, data on these and other workload, cost, and revenue
issues and estimates.
[[Page 70660]]
We do not expect substantial costs would be incurred by CMS. The
data collection required for enforcement of the proposed standards
already exists and can readily be used to assess performance. OPOs are
already reviewed and assessed on a continuing basis. There would be
additional costs for technical assistance and possibly more severe
actions regarding any OPOs with major compliance problems, or increased
appeals related activities, but our expectation is that these would be
managed through any necessary reallocations of staff time from lower
priority activities. The number of affected facilities is also small
compared to the number of facilities that CMS works with on a regular
basis. Regardless, these oversight activities are unlikely to require
more than three or four additional person-years of effort, with annual
costs of one million dollars or less.
The preceding analysis does not reflect the potentially substantial
transition costs associated with the disruptive process of
decertification. We request comment that would inform estimates of this
category of costs.
E. Effects on Medicare, Medicaid, and Private Payers
The preceding cost estimates include all procurement and
transplantation costs, regardless of payer. In practice, however, most
of the costs are covered by insurance, and the remainder primarily by
patients. Typical insurance shares, both public and private, range from
100 percent (Medicaid) to 80-90 percent in private insurance and
Medicare, taking into account hospital, physician, ESRD, and drug
costs. While overall cost sharing by category of expense is broadly
similar among insurance sources and across organ types, both the
transplant cost and the shares paid by public and private insurance
vary widely by organ type. Specifically, for heart and liver
transplants, the vast majority of patients are enrolled in private
insurance or in some cases in Medicaid. Relatively few are Medicare
patients. This is because these patients are overwhelmingly below age
65 and ineligible for Medicare unless disabled. The age 65 and older
percentage is only 17 percent for hearts, and 18 percent for livers. In
sharp contrast, the vast majority of kidney transplants (about 80
percent) are received by patients who have end-stage renal disease and,
as ESRD patients, are nearly all entitled to Medicare regardless of age
(about half of ESRD patients are also enrolled in Medicaid, but
Medicare is ``primary'' and pays most costs). This ESRD/kidney
transplant group also differs radically in initial transplant cost
(much lower than for hearts and livers, as shown in Tables 7 through
10), and in cost over time. For kidney transplant patients who live 4
years or more after the transplant year, total medical costs over time
are lower than for dialysis, resulting in savings to Medicare (see
Table 10). For ESRD patients who receive kidney transplants, the public
insurance programs would save money over time.
We do not have a definitive estimate of costs to each category of
payer because those shares will change considerably over time as new
cohorts of patients are served, and will also change depending on
whether costs are estimated for 1, 5, or 10 years or more. For kidney
patients, who account for almost two-thirds of transplants, Medicare
cumulatively saves more money than the transplant cost by the fourth or
fifth year after transplant. One simple calculation method is to
consider the weighted average of costs billed to Medicare for each
1,000 patients transplanted and surviving 5 years. Taking into account
all the preceding factors, the weighted average total cost billed by
providers to all payers would be about $270 million (See Table 10). The
Medicare share of that would be about $40 million, largely reflecting
the lower initial costs of kidney transplants, the continuing dialysis
savings, and the relatively small share of heart and liver transplants
paid by Medicare. In the first year for these same 1,000 patients (the
year of the actual transplant) the Medicare cost would be about $150
million of the $388 million total, reflecting the Medicare coverage of
the majority of transplants as well as the lower average cost for those
kidney transplants. Across the first 5 years after the final rule takes
effect (years in which much of the dialysis savings would not yet be
realized), total costs shown in Table 11 over this period are about $10
billion and the average billed to Medicare would be about 25 percent of
this, or $2.5 billion. Of this, patients would pay on average almost 20
percent, reducing the Medicare costs to about $2 billion over the five
year period.
F. Effects on Small Entities, Effects on Small Rural Hospitals,
Unfunded Mandates, and Federalism
1. Regulatory Flexibility Act. The Regulatory Flexibility Act (RFA)
requires agencies to analyze options for regulatory relief of small
entities, if a proposed rule would have a significant impact on a
substantial number of small entities. For purposes of the RFA, we
estimate that almost all health care providers regulated by CMS are
small entities as that term is used in the RFA (including small
businesses, nonprofit organizations, and small governmental
jurisdictions). The great majority of hospitals and most other health
care providers and suppliers are small entities, either by being
nonprofit organizations or by meeting the SBA definition of a small
business (having revenues of less than $7.5 million to $38.5 million in
any 1 year, varying by type of provider and highest for hospitals). On
average, the 58 OPOs have annual revenues of about $50 million in a
market with annual organ acquisition revenues of about $3 billion
annually.\41\ While few of these would meet SBA revenue size standards
for ``small,'' all are by law non-profits. Accordingly, almost all of
the direct effects on businesses that this proposed rule would create
will affect small entities.
---------------------------------------------------------------------------
\41\ Brigitte Sullivan, Executive Director, NYU Langone
Transplant Institute, ``Maximizing Medicare Cost Report
Reimbursement,'' 2015, online at https://organdonationalliance.org/wp-content/uploads/2015/08/ATC_BSullivan_CostReport_062016_S5N0001.pdf.
---------------------------------------------------------------------------
The RFA requires that an Initial Regulatory Flexibility Analysis
(IRFA) be prepared if a proposed rule would have a ``significant
economic impact'' on a ``substantial number'' of such entities. The HHS
standard for ``significant economic impact'' is 3 percent or more of
annual revenues. Although the HHS position is that this only applies to
negative impacts because the RFA requires agencies to ``minimize''
economic impact, HHS practice in cases involving significant positive
effects is to perform the analysis, regardless of the statutory issue.
In the case of this rule, we expect some OPOs to prosper as they reform
their practices to meet the standards under the proposed rule, but some
may lose their certification and be replaced by more effective OPOs.
The HHS standard for ``substantial number'' is 5 percent or more of
those that will be significantly impacted, but never fewer than 20.
There is a possibility that as many as 20 OPOs would lose certification
and hence we are unable to certify that an Initial Regulatory
Flexibility Analysis is not required under the RFA. Accordingly, we are
preparing an IRFA.
The question arises as to whether transplant programs are affected
entities. We believe they are not. They are all medical units within
hospitals. Only the hospital itself can be a small entity, and many
are, as a consequence of their non-profit status. However, nothing in
this proposed rule directly
[[Page 70661]]
regulates either hospitals or their transplant programs. Moreover,
nothing in this proposed rule would have any adverse effects on those
programs. They would, instead, likely gain revenues from increases in
patients transplanted. The pattern of such increases is impossible to
predict since organs are increasingly shared across OPO service area
boundaries and, in many cases, across hundreds or thousands of miles.
Regardless, in the aggregate, hospital revenues nationwide exceed one
trillion dollars a year; the estimated costs of this proposed rule over
the first 5 years are about $10 billion, averaging $2 billion a year,
of which only half falls on transplant programs. This would be a
fraction of one percent of hospital costs or revenues in the hospitals
that host transplant programs, which are generally larger hospitals.
Since organ acquisition costs are reimbursed by patient health
insurance, net costs to hospitals with transplant programs are
approximately zero and may actually be negative.\42\ Indeed, if any
hospital determined that its transplant program was no longer a profit
center, it could simply cease providing that service. Hence, we
conclude that there would be no ``significant economic effect'' on a
``substantial number'' of hospitals, and that increases in transplant
volume will be neutral or positive (however, see the further discussion
of payment issues in the Alternatives section).
---------------------------------------------------------------------------
\42\ Patients are not ordinarily accepted on transplant waiting
lists if they do not have the insurance or other means to ensure
that they can pay not only the hospital and surgical fees, but also
for the immunosuppressive drugs that are needed for post-transplant
survival.
---------------------------------------------------------------------------
The potential economic effects on OPOs depend on their ability to
meet the thresholds established at the beginning of the four-year
performance period. OPOs who are at or above this threshold by the end
of this period should face relatively small effects (a likely increase
in organ donors and organs transplanted that we estimate to be likely
to be near 20 percent, with revenues from Medicare that reimburse their
incurred reasonable costs) and other health insurers. Those currently
below the threshold that can achieve the threshold rate over the four-
year period will benefit from the increased revenue associated with
procuring more organs. For OPOs that cannot meet the new performance
standards, the issue would be making the necessary changes to avert a
loss of certification. Our methodology was designed to allow all OPOs
the opportunity to achieve the threshold rates; however, based on
Tables 3 and 4, we believe that there are a range of potential
outcomes, assuming the high performers remain at steady state. These
include:
Eight OPOs who would be subject to de-certification
because they would need to increase their donation and/or
transplantation rates by more than 50 percent to meet the threshold
rates.
Eighteen OPOs who would be subject to de-certification
because they would need to increase their donation and/or
transplantation rates by more than 25 percent to meet the threshold
rates.
Thirty-three OPOs who would be subject to de-certification
because they would need to increase their donation and/or
transplantation rates by more than 10 percent to meet the threshold
rates.
In most cases of potential decertification, we would reasonably
expect another OPO to take over that service area, retaining the
original staff, but changing the leadership and many of the organ
procurement practices. Conversely, it is also possible that an OPO
taking over a new service area would need to increase its staff or
incur costs related to retraining, or implementation of best practices
unfamiliar to the de-certified OPO's staff. We solicit comment on the
costs associated with an OPO entering a new DSA after a
decertification, including retraining, leadership, relationship
building, and implementation of other best practices.
Tables 3 and 4 present a list of all affected OPOs and of the gap
between their current performance and the proposed standards. These
tables use as a base year 2017 data but for most OPOs, the potential
donor data from the state death certificates are not likely to change
substantially from updates between the proposed and final rule and
between the final rule and first performance year. These tables show
for each OPO what it would have to achieve over a four-year period to
meet the proposed performance standards. Since the threshold rate would
be established prior to the assessment period, each OPO would know from
its own workload data and the latest potential donor data exactly where
it stands at any point in time over the four-year performance period.
Since the cost of each OPO's increased effort and performance is
covered by Medicare, this is not primarily a cost or revenue issue for
the OPOs. Instead, our new performance measures would create an
organizational survival issue. The future of an OPO depends largely on
its performance in obtaining donors and on utilization of those organs
for transplantation.
Since all OPOs are ``small entities,'' all of the alternatives and
options presented throughout this preamble meet the RFA requirement
that effects on these entities be addressed. We emphasize, however,
that we already know that many OPOs already meet or in many cases far
exceed our proposed standards without any regulatory relief, and we
know that the HHS goal for increasing kidney donation and
transplantation can not be met without a substantial increase in
performance. We also know that the current performance requirements
permit most OPOs to perform far below the levels of their peers in
serving the long waiting lists of patients in need of organ donation
and transplantation.
Because our proposals are performance standards, they provide
flexibility to the OPOs in meeting the standards. For example, in
addition to all the possible internal reforms that an OPO could make,
OPOs could merge, or service areas could be merged. These flexibilities
are not limited to bilateral agreements and could involve multiple OPOs
in partnership with each other or with transplant hospitals. OPO boards
could replace the executive leadership and the leadership could replace
any ineffective coordinators. They could work to improve working
relationships with donor hospitals within their service areas through
programs such as the Workplace Partnership for Life. Should any case
arise where an OPO is unable to make the changes necessary to or
constrained by circumstances beyond its control that it cannot reach
the performance levels of others, CMS can intervene with technical
assistance or to facilitate mergers or other changes. We believe that
every OPO can meet the proposed standards through good faith reforms to
improve both donation and organ placement.
The RFA contains a number of requirements for the content of an
Initial Regulatory Flexibility Analysis, including a description of the
reasons why action is being considered, a statement of the objectives
and legal basis for the proposed rule, a description of any reporting
or record-keeping requirements of the proposed rule, and a description
of any other Federal rules that duplicate, overlap, or conflict with
the proposed rule (there are none in this case), among others. This RIA
and the preamble taken as a whole meet these requirements. We welcome
comments about effects on small entities and on alternatives that might
improve the rule in meeting its stated objectives. We note that the RFA
emphasizes the use of performance
[[Page 70662]]
rather than design standards, which is precisely what we propose.
2. Small Rural Hospitals. Section 1102(b) of the Act requires us to
prepare an RIA if a rule may have a significant impact on the
operations of a substantial number of small rural hospitals. This
analysis must conform to the provisions of section 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. This proposed rule's
direct effects do not fall on hospitals and there are no small rural
hospitals that operate transplant programs. Accordingly, the Secretary
has determined that this proposed rule will not have a significant
impact on the operations of a substantial number of small rural
hospitals.
3. Unfunded Mandates Reform Act. 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 one year of $100 million in 1995 dollars,
updated annually for inflation. In 2019, that threshold is
approximately $154 million. This proposed rule contains no mandates
that directly impose spending costs on State, local, or tribal
governments, or by the private sector. Some OPOs would undoubtedly find
that meeting the proposed standards would require additional spending,
but others may find that better performance can be achieved at little
or no cost. In either case, reimbursement by both public and private
payers would cover all reasonably estimated costs.
4. Federalism. E.O. 13132 establishes certain requirements that an
agency must meet when it promulgates a proposed rule (and subsequent
final rule) that imposes substantial direct requirement costs on state
and local governments, preempts state law, or otherwise has Federalism
implications. This proposed rule would impose no such requirements.
G. Alternatives Considered
Throughout the preamble sections, we present our proposals and seek
comments on potential alternatives. We seek to implement reform
measures that (1) establish empirically-based outcome and process
performance measures for OPOs, (2) that can be uniformly applied to all
OPOs, (3) that would capture the entire pool of potential deceased-
donors, (4) that would use transparent, reliable and objective data
that would not require entity-specific judgments, (5) that use data
that accounts for geographic differences in the number and causes of
death, and (6) that use data that are easily captured and tallied on a
continuing annual basis.
In choosing the outcomes measures that we are proposing and setting
the threshold donation and organ transplantation rate at the top 25
percent of rates, we sought to strike a balance between the goals set
forth by HHS and the potential disruption that could happen if only a
few OPOs could comply with our standards. We also analyzed three types
of alternatives that could be applied to all the OPOs: Changing the
denominator, changing the confidence intervals, and changing the
threshold rates. For changes to the denominator, we examined the impact
of using the CALC measure as the denominator; using the total
unadjusted number of deaths in the DSA as denominator; and using the
total population in the DSA as the denominator. For changes to the
confidence interval, we examined the impact of changing the confidence
interval (CI) to 90 and 99 percent. For changes to the threshold rates,
we examined the impact of setting the threshold at an absolute value
based on the geometric mean or the median from the year 2016. For the
Hawaii OPO, we analyzed one additional alternative to consider: Using
the kidney donation and transplantation rates as a measure of success
because of the geographical barriers to transporting the other organs
for transplantation outside of Hawaii. We are seeking comments to these
alternatives in addition to our proposed outcome measures.
Changes to the Denominator
CALC as the Denominator
The following table shows the likely effects of using the CALC to
define the donor potential:
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As discussed earlier in the preamble, the CALC method proposed by
Goldberg et al, has been published in the literature and presented in
various forums. This methodology uses the same NCHS database and also
uses inpatient deaths to calculate the denominator. The primary
difference between the CALC methodology and our proposed methodology is
that it uses the ICD-10 codes to identify deaths that are consistent
with donation (that is, inclusion criteria) whereas we exclude ICD-10
codes that are an absolute contraindications to organ donation (that
is, exclusion criteria). The developers of the CALC methodology believe
that the ICD-10 codes used in their inclusion criteria capture 98-99
percent of all donors:
I20-I25 (ischemic heart disease);
I60-I69 (cerebrovascular disease)
V-1-Y89 (external causes of morbidity and mortality):
Blunt trauma, gunshot wound, drug overdose, suicide, drowning, and
asphyxiation.
We performed a comparative analysis of the CALC methodology and our
proposed methodology. There is consistency in the OPOs that were
flagged for donation and organ transplantation rates that were below
the top 25 percent. Notably, the differences were in the total donor
potential (denominator) with CALC method resulting in a donor potential
of 101,479 inpatient deaths in 2017, whereas our proposed methodology
had 272,105 inpatient deaths. Where there were differences in OPOs
being flagged for the donation rates (the CALC method flagged more
OPOs), the differences were minor (only a small number of donors per
OPO). If all OPOs could increase their donation rates to at the
threshold rate, under our proposed methodology, there would be an
additional 1,015 donors (approximately 10.43 percent increase), whereas
the CALC methodology would yield an additional 1,223 donors (12.57
percent increase).
We also compared the CALC methodology on organs transplanted, as
shown in the following table:
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For organs transplanted, if all flagged OPOs were to increase their
organs transplanted to the range of the top 25 percent, then using the
CMS methodology, there would be an additional 4,903 organs transplanted
(15.24 percent increase); using the CALC methodology, there were would
be 5,590 more organs transplanted (17.37 percent increase). Other than
the approximately 2 percent increase in donations and organ
transplantation, another difference in the methodologies is the
difference in how much of an increase each particular OPO would need to
increase in organs transplanted. We are seeking comments on these
differences and whether the CALC method is a more precise and/or
accurate assessment of OPO performance.
All Deaths, Age <=75 as the Denominator
In addition to analyzing the CALC method for the denominator, we
also considered using the total number of deaths of people 75 years and
younger, regardless of location or cause of death to define the donor
potential. The following tables show the effects of measure the donor
potential based on the total deaths:
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Using total number of deaths as the denominator, the donor
potential was 1,376,541 deaths in 2017 of people 75 years and younger
(compared with our donor potential of 272,105 inpatient deaths).
Despite this large discrepancy in the denominator, we find very similar
results for those OPOs being flagged by our methodology versus an
approach that uses total deaths. If all OPOs were able to achieve the
threshold 25 percent rate using this methodology, we would have 933
additional donors (compared with the 1,105 with our proposed
methodology) and 4,851 more organs transplanted, compared with the
4,903 organs from our proposed methodology. Similar to the CALC method,
where there were differences in the OPOs being flagged for donation
rates, the additional donors needed were mostly in the single digits.
For the organ transplantation rates, the greatest differences were not
in which OPOs were flagged, but rather, it was the differences by OPO
in the number of additional organs that needed to be transplanted in
order to reach the top 25 percent threshold rate.
Total Population, Age <75
A third alternative denominator that we analyzed used the U.S.
population from the 2010 census of persons less than 75 years old as
the denominator.\43\ A population-based approach to re-certifying OPOs
was used by the Department until the passage of the OPO Certification
Act of 2000, which specifically raised concerns about ``[a]n exclusive
reliance on population-based measures of performance that do not
account for the potential in the population for organ donation and do
not permit consideration of other outcome and process standards that
would more accurately reflect the relative capability and performance
of each organ procurement organization.'' While we considered this
approach, for this reason, and others that we discuss in further
detail, we chose not to propose it. The following tables show the
effects of using an eligible population as the donor potential:
---------------------------------------------------------------------------
\43\ For convenience, we used less than 75 years old rather than
75 and younger because of how the Census data is publicly reported.
---------------------------------------------------------------------------
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In the population-based approach, we would have 1,699 more organ
donors and 7,000 more organs transplanted if all flagged OPOs were able
to increase their performance to that of the top 25 percent. This
increase does not seem realistic given how significantly it differs
from the increases utilizing the CALC and total death analysis. A
fundamental requirement to achieve these increases is a sufficient
number of deaths that could lead to organ donation. A population based
approach does not account for the death requirement and is problematic
given variance in DSA mortality rates from 3.39 to 7.11. We also found
a pattern where OPOs in the geographic areas with lower mortality
rates, such as the Pacific Northwest, the Rocky Mountain area, New
England, Los Angeles area, New York City area, and Hawaii, had
depressed performance rates under this method, as compared to the OPOs
in the areas of the country with the highest rates of deaths consistent
with organ
[[Page 70686]]
donation.\44\ Although we would not consider a measure which is based
solely on population size, we are seeking comments as to whether there
are appropriate risk-adjustments that could be used so that a
population measure could be reflective of the organ donation potential.
---------------------------------------------------------------------------
\44\ Cannon RM, Jones CM, et al, ``Patterns of geographic
variability in mortality and eligible deaths between organ
procurement organizations,'' AmJTransplant. 2019;00:4 (Fig. 2).
---------------------------------------------------------------------------
Changing the Confidence Interval
In addition to considering other denominator sources, we considered
changing the way in which we measured success. One way in which we
measure success is in the confidence that our rate is flagging
correctly. Our methodology uses a 95 percent CI, so we analyzed the
effects of both the 90 percent and 99 percent CIs; that is, we
increased and decreased our confidence that we appropriately flagged
OPOs based on our donation and organ transplantation threshold rates.
The following tables show the effects of these different CIs:
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By changing to a 99 percent CI, 24 OPOs were flagged for donation
rates compared with 33 OPOs (95 percent CI); and, 35 OPOs were flagged
for organ transplantation rates compared with 36 OPOs being flagged (95
percent CI). When we examined the effects of the 90 percent CI, the
differences were even less noticeable: For donation rates, 35 (90
percent CI) versus 33 (95 percent CI) and for transplantation rates, 38
(90 percent CI) versus 36 (95 percent CI).
[[Page 70692]]
Changing the Threshold Rates
An alternative way to measure success would be to change the
threshold rate by which OPOs are measured. We examined the impact of
using a static, absolute threshold rate based on the geometric mean and
the median based on data from 2016 for analyzing data from 2017.
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We are actively considering use of a static, absolute threshold as
a viable alternative to use of a relative performance metric, but
question whether this approach could inadvertently incentivize all OPO
performances to move towards a static threshold, thus decreasing total
donations and transplantations. We are interested in robust public
comments that support or refute these concerns and comments that list
the potential impacts, benefits, or consequences of implementing this
approach. We specifically request that commenters present data,
studies, or other analysis to support their recommendations. We also
seek comments on ways to incentivize continual improvement of all OPOs,
including high performers and low performers. Additionally, we are
interested in ways to ensure that the rates for re-certification
continue to be based upon current performance and appropriately reflect
potential improvements and changes in technology (such as the
development of an implantable, artificial kidney or bioengineered
pancreatic islet cells).
There were other alternatives that we chose not to propose. We
received comment in response to our RFI that we should consider using
the deaths referred from donor hospitals as our donor potential. This
approach could rely on the regulatory requirement for hospitals to
report imminent deaths to OPOs. We declined to propose this on the
basis of concerns regarding its potential for inaccuracy. We believe
that this approach incorrectly places the requirement to report an
imminent death solely on the donor hospital, rather we believe this is
a joint responsibility shared with an OPO.
Another option suggested by some members of the OPO community and
commenters in response to the RFI is using donor/ventilated deaths for
donor potential. While we appreciate this suggestion, there are no
standardized databases that would allow us to determine the ventilator
status of deaths, and we are concerned this approach incorrectly
assigns ``potential donor'' status solely based on the fact that the
patient is on a ventilator in an ICU. This approach does not consider
the role of OPOs in educating donor hospital staff about the range of
potential donors, such that resuscitation efforts are sufficient and
appropriate referrals are made for organ donation, even for older,
single-organ donors. Furthermore, asking hospitals to report the
ventilator status of inpatient deaths or expecting OPOs to report that
status would create an additional burden for all hospitals (not just
transplant hospitals or just OPOs) and is inconsistent with our goals
in proposing these new performance measures: To reduce the reporting
burdens so that resources can go towards increasing organ donation and
transplantation.
Also discussed in the preamble, we recognize that the OPO in Hawaii
is at a considerable geographic disadvantage for placement of all the
organs it could procure. As an alternative, we
[[Page 70697]]
considered measuring the performance of the Hawaii OPO based solely on
its kidney donation and transplantation rates, excluding other organs,
because Hawaii has a kidney transplant program, yet has greater
geographic barriers associated with transporting the extra-renal organs
outside of the DSA. These tables show the effects of the kidney
donation and transplantation rates:
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Using just these measures, the Hawaii OPO would be in the top 25
percent for both kidney donation rates and kidney transplantation
rates. If we were to use our proposed measure to assess the Hawaii
OPO's performance, it would need one additional donor and 38 additional
organs transplanted to meet the threshold rate for the top 25 percent
of rates. The reason we did not propose this approach for assessing the
Hawaii OPO is that we are aware of newer technologies that could
significantly reduce the clinical impact of prolonged transport of
extra-renal organs and would prefer a policy that encourages the
innovation and adoption of these types of technologies for the benefit
of all potential recipients. We are seeking comments on this
alternative or any other approach that would accurately measure the
performance of the Hawaii OPO, such as a phased approach to
implementing our new measures.
In analyzing all these different alternatives, we recognize that
there were many OPOs whose performance is in the top 25 percent,
regardless of which methodology was used. These OPOs are truly high
performers and should be the models for the other OPOs. We encourage
those OPOs to continue to strive to be top performers and encourage the
widespread uptake of best practices. In summary, we welcome comments
both on the comparative advantages and disadvantages of alternatives
within the scope of this proposed rule, and suggestions for other
alternatives that could be addressed in subsequent rule-makings or
administrative actions to further improve performance of the organ
donation and transplantation system.
H. Accounting Statement and Table
As required by OMB Circular A-4 (available at https://www.whitehouse.gov/sites/whitehouse.gov/files/omb/circulars/A4/a-4.pdf), in Table 18, we have prepared an accounting statement showing
the classification of the benefits, transfers, and costs that we
estimate will arise from the reforms if this proposed rule is adopted.
These reforms will create substantial out-year effects, and the
annualized estimates provided in this table display the effects that
are expected over the next 5 years, rather than over a longer period of
time. The performance uncertainties, technology uncertainties, and
future policy uncertainties are so great that we are reluctant to
project farther into the future. This means, however, that the
Accounting Table estimates do not include very substantial out-year
benefits to patients and savings to the ESRD program that will occur
outside the five-year estimating window. Also, the effects of this
proposed rule on organ recovery and transplantation are of unusual
uncertainty even in the short run. The upper bound for benefit and cost
reduction estimates are as discussed elsewhere in this regulatory
impact analysis. We welcome comments on the estimates made in this
proposed rule and on ways to improve their calculation or presentation.
The rule generates a cluster of interrelated effects, so we are
treating the increase in health care expenditures as ``negative
benefits'' for purposes of the Accounting Table.
Table 19--Accounting Statement: Classification of Estimated Benefits, Transfers, and Costs
[$ millions]
--------------------------------------------------------------------------------------------------------------------------------------------------------
Units
Primary -----------------------------------------------
Category estimate Low estimate High estimate Discount rate
Year dollars (percent) Period covered
--------------------------------------------------------------------------------------------------------------------------------------------------------
Benefits:
Health Benefits Annualized Monetized ($million/year) .............. <0 698 2017 7 2021-2025
.............. <0 769 2017 3 2021-2025
[[Page 70706]]
Medical Expenditure Annualized Monetized ($million/ .............. >0 -923 2017 7 2021-2025
year)..............................................
.............. >0 -996 2017 3 2021-2025
--------------------------------------------------------------------------------------------------------------------------------------------------------
Benefits Notes: Because increased transplant activity imposes costs upfront but yields savings over time, a longer time horizon would show medical
expenditure impacts falling in magnitude, potentially to the point of being exceeded by longevity benefits.
--------------------------------------------------------------------------------------------------------------------------------------------------------
Costs:
Annualized Monetized ($million/year)................ .............. 0.477 .............. 2017 7 2021-2025
.............. 0.445 .............. 2017 3 2021-2025
--------------------------------------------------------------------------------------------------------------------------------------------------------
Cost Notes: Transition costs in the event of OPO decertification have not been estimated.
--------------------------------------------------------------------------------------------------------------------------------------------------------
Transfers........................................... None quantified
--------------------------------------------------------------------------------------------------------------------------------------------------------
I. Reducing Regulation and Controlling Regulatory Costs
Executive Order 13771 (January 30, 2017) requires that the costs
associated with significant new regulations ``to the extent permitted
by law, be offset by the elimination of existing costs associated with
at least two prior regulations.'' This proposed rule has been
designated a significant regulatory action as defined by Executive
Order 12866, and, if finalized as proposed, is expected to be an E.O.
13771 regulatory action.
J. Conclusion
This proposed rule would substantially reform the incentives facing
OPOs and as a result, substantially increase organ procurement and
transplants over time for all organs, while reducing continuing costs
for dialysis and other treatments for patients with severe kidney
disease. Because organ transplants are life-saving and life-extending
events, we believe that these benefits to patients will be far more
consequential than the effects on medical treatments and costs. Our
expectation is that the numbers of lives saved or extended will be many
thousands each year, as estimated in the preceding analysis.
In accordance with the provisions of Executive Order 12866, this
regulation was reviewed by the Office of Management and Budget.
List of Subjects in 42 CFR Part 486
Medicare, Organ procurement, and Definitions.
For the reasons set forth in the preamble, the Centers for Medicare
& Medicaid Services proposes to amend 42 CFR chapter IV, part 486, as
set forth below:
PART 486--CONDITIONS FOR COVERAGE OF SPECIALIZED SERVICES FURNISHED
BY SUPPLIERS
0
1. The authority citation for part 486 continues to read as follows:
Authority: 42 U.S.C. 1302 and 1395hh.
0
2. Section 486.302 is amended by--
0
a. Adding definitions for ``Death that is not an absolute
contraindication to organ donation'' and ``Donation rate'';
0
b. Revising the definition of ``Donor'';
0
c. Adding a definition for ``Donor potential'';
0
d. Removing the definitions of ``Eligible death'', ``Eligible donor'',
and ``Expected donation rate'';
0
e. Adding a definition for ``Lowest rate among the top 25 percent'';
0
f. Removing the definition of ``Observed donation rate'';
0
g. Revising the definition of ``Organ'';
0
h. Adding a definition for ``Organ transplantation rate''' and
0
i. Removing the definition of ``Standard criteria donor (SCD)''.
The additions and revisions read as follows:
Sec. 486.302 Definitions.
* * * * *
Death that is not an absolute contraindication to organ donation
means all deaths from the state death certificates except those with
any cause of death identified by the specific ICD-10 codes that would
preclude donation under any circumstance.
Tuberculosis........................... all.
Other bacterial diseases............... A39 Meningococcal infection.
A40 Streptococcal septicaemia.
A41 Other septicaemia.
Viral infections of the central nervous A82 Rabies.
system.
Viral infections characterized by skin B03 Smallpox.
and mucous membrane lesions.
Human immunodeficiency virus [HIV] B20 Human immunodeficiency
disease. virus [HIV] disease with
infectious and parasitic
diseases.
B21 Human immunodeficiency
virus [HIV] disease with
malignant neoplasms.
Sequelae of infectious and parasitic B90 Sequelae of tuberculosis.
diseases.
Malignant neoplasms of lip, oral cavity all.
and pharynx.
Malignant neoplasms of digestive organs all.
Malignant neoplasms of respiratory and all.
intrathoracic organs.
Melanoma and other malignant neoplasms C43 Malignant melanoma of skin.
of skin.
Malignant neoplasms of bone and all.
articular cartilage.
[[Page 70707]]
Melanoma and other malignant neoplasms all.
of skin.
Malignant neoplasms of methothelial and all.
soft tissue.
Malignant neoplasm of breast........... all.
Malignant neoplasms of female genital all.
organs.
Malignant neoplasms of male genital all.
organs.
Malignant neoplasms of thyroid and all.
other endocrine glands.
Malignant neoplasms of ill-defined, all.
secondary and unspecified sites.
Malignant neoplasms of lymphoid, all.
haematopoietic and related tissue.
Malignant neoplasms of independent all.
(primary) multiple sites.
Neoplasms of uncertain or unknown D44 Neoplasm of uncertain or
behavior. unknown behaviour of endocrine
glands.
D46 Meylodysplastic syndromes.
D47 Other neoplasms of
uncertain or unknown behavior
of lymphoid, haematopietic and
related tissue.
D48 Neoplasms of uncertain or
unknown behavior of other and
unspecified sites.
Coagulation defects, purpura and other D65 Disseminated intravascular
haemorrhagic conditions. coagulation [defibrination
syndrome].
D69 Purpura and other
haemorrhagic conditions.
Metabolic disorders.................... E84 Cystic fibrosis.
Infections specific to the perinatal P36 Bacterial sepsis of
period. newborn.
* * * * *
Donation rate is the number of donors as a percentage of the donor
potential.
* * * * *
Donor means a deceased individual from whom at least one
vascularized organ (heart, liver, lung, kidney, pancreas, or intestine)
is transplanted. An individual also would be considered a donor if only
the pancreas is procured and is used for research or islet cell
transplantation.
* * * * *
Donor potential is the number of inpatient deaths within the DSA
among patients 75 and younger with any cause of death that is not an
absolute contraindication to organ donation.
* * * * *
Lowest rate among the top 25 percent will be calculated by taking
the number of total OPOs in the time period identified for establishing
the threshold rate. That number will be multiplied by 0.25 and rounded
to the closest integer (0.5 will round to the higher integer). The
donation rates and organ transplantation rates will be separately
ranked and the threshold rate will be the rate that corresponds to the
integer when counting down the ranking.
* * * * *
Organ means a human kidney, liver, heart, lung, pancreas, or
intestine (or multivisceral organs when transplanted at the same time
as an intestine). The pancreas counts as an organ even if it is used
for research or islet cell transplantation.
------------------------------------------------------------------------
Number of
Organ type organs
transplanted
------------------------------------------------------------------------
Right or Left Kidney...................................... 1
Right and Left Kidney..................................... 2
Double/En-Bloc Kidney..................................... 2
Heart..................................................... 1
Intestine................................................. 1
Intestine Segment 1 or Segment 2.......................... 1
Intestine Segment 1 and Segment 2......................... 2
Liver..................................................... 1
Liver Segment 1 or Segment 2.............................. 1
Liver Segments 1 and Segment 2............................ 2
Right or Left Lung........................................ 1
Right and Left Lung....................................... 2
Double/En-bloc Lung....................................... 2
Pancreas (transplanted whole, research, islet transplant). 1
Pancreas Segment 1 or Segment 2........................... 1
Pancreas Segment 1 and Segment 2.......................... 2
------------------------------------------------------------------------
Organ transplantation rate is the number of organs transplanted
from donors in the DSA as a percentage of the donor potential.
* * * * *
0
3. Section 486.316 is amended by revising paragraphs (a)(1) and (2),
(b), (c), and (d) introductory text to read as follows:
Sec. 486.316 Re-certification and competition processes.
(a) * * *
(1) Meets the performance requirements of the outcome measures at
Sec. 486.318 at the end of the certification cycle; and
(2) Has been shown by survey to be in compliance with the
requirements for certification at Sec. 486.303, including the
conditions for coverage at Sec. Sec. 486.320 through 486.360.
(b) De-certification and competition. If an OPO does not meet the
performance requirements of the outcome measures as described in
paragraph (a)(1) of this section at the final assessment prior to the
end of the re-certification cycle or the requirements described in
paragraph (a)(2) of this section the OPO is de-certified. If the OPO
does not appeal or the OPO appeals and the reconsideration official and
CMS hearing officer uphold the de-certification, the OPO's service area
is opened for competition from other OPOs. The de-certified OPO is not
permitted to compete for its open area or any other open area. An OPO
competing for an open service area must submit information and data
that describe the barriers in its service area, how they affected organ
donation, what steps the OPO took to overcome them, and the results.
(c) Criteria to compete. To compete for an open service area, an
OPO must meet the performance requirements of the outcome measures at
Sec. 486.318 and the requirements for certification at Sec. 486.303,
including the conditions for coverage at Sec. Sec. 486.320 through
486.360. The OPO must compete for the entire service area.
(d) Criteria for selection. CMS will consider the following
criteria in designating an OPO for an open service area:
* * * * *
0
4. Section 486.318 is revised to read as follows:
Sec. 486.318 Condition: Outcome measures.
(a) Outcome measures. An OPO is evaluated by measuring the donation
rate and the organ transplantation rate in their DSA.
(1) The donation rate is calculated as the number of donors in the
DSA as a percentage of the donor potential.
(2) The organ transplantation rate is calculated as the number of
organs transplanted from organs procured in the DSA as a percentage of
the donor potential.
(3) The numerator of donors and organs transplanted is based on the
data submitted to the OPTN as required in Sec. 486.328 and/or 42 CFR
121.11.
(4) The denominator is the donor potential and is based on
inpatient deaths within the DSA from patients 75
[[Page 70708]]
or younger with any cause of death that is an absolute contraindication
to organ donation. The data is obtained from the most recent 12 months
data from state death certificates.
(5) These outcome measures will be effective beginning with the
2022 re-certification cycle.
(b) OPO performance on outcome measures. An OPO must demonstrate a
success rate on the outcome measures in accordance with the following
parameters and requirements:
(1) For the assessment period, a threshold rate will be established
based on the lowest rate among the top 25 percent of donation rates
during the 12-month period immediately prior to the period being
evaluated.
(2) For the assessment period, a threshold rate will be established
based on the lowest rate among the top 25 percent of organ
transplantation rates during the 12-month period prior to the period
being evaluated.
(3) The 95 percent confidence interval for each OPO will be
calculated using a one-sided test.
(4) OPOs whose upper limit of the one-sided 95 percent confidence
interval is less than the threshold rate established will be flagged.
(c) Assessment and data for the outcome measures. (1) An OPO's
performance on the outcome measures is based on an assessment at least
every 12 months with the most recent 12 months of data from the OPTN
and state death certificates, beginning December 31 of the first year
of the re-certification cycle and ending December 31, prior to the end
of the re-certification cycle.
(2) If an OPO's performance falls below the outcome measure
described in paragraph (b) of this section prior to the last cycle
before the end of the certification period, the OPO must meet the
requirements of Sec. 486.348(d)(3).
(3) If an OPO takes over another OPO's service area on a date later
than January 1 of the first year of the re-certification cycle so that
12 months of data are not available to evaluate the OPO's performance
in its new service area, we will not hold the OPO accountable for its
performance in the new area until 12 months of data are available.
Sec. 486.328 [Amended]
0
5. Section 486.328 is amended--
0
a. In paragraph (a) introductory text by removing the word
``Beneficiaries'' and adding in its place the word ``Recipients'' and
by removing the acronym ``DHHS'' and adding in its place the acronym
``HHS''.
0
b. By removing and reserving paragraph (a)(4); and
0
c. In paragraph (a)(7), by removing, the word ``eligible''.
0
6. Section 486.348 is amended by adding paragraph (d) to read as
follows:
Sec. 486.348 Condition: Quality assessment and performance
improvement (QAPI).
* * * * *
(d) Standard: Review of outcome measures. (1) An OPO must include a
process to review its performance on the outcome measure requirements
at Sec. 486.318. The process must be a continuous activity to improve
performance.
(2) An OPO must incorporate data on the outcome measures into their
QAPI program.
(3) If the outcome measure at each assessment cycle, except the
final assessment before re-certification, is statistically
significantly lower than the top 25 percent of donation rates or organ
transplantation rates, the OPO must identify opportunities for
improvement and implement changes that lead to improvement in these
measures.
Dated: September 27, 2019.
Seema Verma,
Administrator, Centers for Medicare & Medicaid Services.
Dated: November 7, 2019
Alex M. Azar II,
Secretary, Department of Health and Human Services.
Note: The following appendix will not appear in the Code of
Federal Regulations.
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[FR Doc. 2019-27418 Filed 12-17-19; 4:15 pm]
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