Evidence map›Paper›PMID 42204993›Full record

ArticlePopulation health management2026

Participants in Medicare's New Mandatory Bundled Payment Program.

Joshua M Liao, Yixin Tang, Danielle S Browne, Isabelle J Carroll, Ayush Arora, Jennifer R Cardin, Aidan P Crowley, Vrushabh Ladage, Austin S Kilaru, Amol S Navathe

Abstract read
In one paragraph

Article in Population health management, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Joshua M LiaoDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Yixin TangDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Danielle S BrowneDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID 0009-0007-5667-9322
Isabelle J CarrollDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Ayush AroraSidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Jennifer R CardinDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Aidan P CrowleyLeonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Vrushabh LadageLeonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Austin S KilaruLeonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Amol S NavatheLeonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Funding

The impact of population and episode-based payment models on surgical disparitiesR01MD015055 · NIMHD · UNIVERSITY OF PENNSYLVANIA · PI IBRAHIM, SAID A, LIAO, JOSHUA M · 2021 to 2024
$2.6M
AHRQ HHS R01 HS027595NIMHD NIH HHS R01 MD015055
6 · The paper itself

Abstract

To date, most bundled payment programs have been voluntary in design. However, such programs are limited by provider and patient selection, the potential exacerbation of health disparities, and results with limited generalizability. In 2026, Medicare will address these concerns through the Transforming Episode Accountability Model (TEAM), the first mandatory program to require nationwide participation across multiple surgical procedures. To anticipate whether the TEAM model can provide generalizable evidence for scaling bundled payments nationwide, the authors used Medicare data to conduct a cross-sectional analysis comparing the characteristics of markets and hospitals selected to participate in TEAM with those that were not. The current study found that, although the 186 TEAM markets were larger than the 618 markets that will not participate, they were similar with regard to structural characteristics (e.g., Medicare advantage penetration, exposure to prior bundled payment programs) and population characteristics (e.g., education, income). The 727 TEAM hospitals differed from the 2155 others with regard to key characteristics, including teaching and safety-net status, profit margin, and patient volume. Overall, these findings suggest that TEAM may generate findings that can be generalized to all US markets while expanding the types of hospitals that have participated in bundled payment programs.

Indexed as

Mandatory ProgramsMedicarePatient Care BundlesReimbursement MechanismsCross-Sectional StudiesHumansUnited Statesbundled paymenthealth equityMedicare

Identifiers

PMID42204993
PMCPMC13539580

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.