Evidence map›Paper›PMID 41746643›Full record

ArticleJAMA network open2026

Accountable Care Organization Efficiency on Entry and Shared Savings Bonuses.

Arnav Srivastava, Addison Shay, Samuel R Kaufman, Xiu Liu, Avinash Maganty, Mary K Oerline, Paula A Guro, Dawson Hill, Christopher Dall, Kassem S Faraj and 3 more

Abstract read
In one paragraph

Article in JAMA network open, 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

13 authors.

Arnav SrivastavaDow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor.
Addison ShayDow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor.
Samuel R KaufmanDow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor.
Xiu LiuDepartment of Urology, Massachusetts General Hospital, Boston.
Avinash MagantyDepartment of Urology, Massachusetts General Hospital, Boston.
Mary K OerlineDow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor.
Paula A GuroDow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor.
Dawson HillDow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor.
Christopher DallDepartment of Urology, Massachusetts General Hospital, Boston.
Kassem S FarajDow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor.
Meiling YingDepartment of Foundations of Medicine, New York University Grossman Long Island School of Medicine, New York, New York.
Vahakn B ShahinianDow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor.
Brent K HollenbeckDow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor.

Funding

Accelerating the Shift to Downside Risk in Medicare Accountable Care Organizations: Effects on Clinical Quality and Costs among Older PatientsR01AG068074 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HOLLENBECK, BRENT K. · 2020 to 2024
$2.0M
NIA NIH HHS R01 AG068074
6 · The paper itself

Abstract

Importance: Spending benchmarks in the Medicare Shared Savings Program previously only considered an accountable care organization's (ACO) historical spending, potentially disadvantaging efficient organizations in favor of inefficient ones. To more sustainably reward efficient ACOs, benchmark calculation has evolved, such as the incorporation of average regional spending in 2017, but how benchmarking policy, and its changes, have affected the financial performance of ACOs across the efficiency spectrum remains unclear. Objective: To measure the association between ACO efficiency on entry (ie, the ratio of observed to expected spending) with earning a shared savings bonus. Design, Setting, and Participants: This cross-sectional study used a 20% national sample of Medicare claims to identify ACOs that participated in the Shared Savings Program for a minimum of 4 years between January 2013 and December 2020. ACOs were sorted in quartiles based on their observed to expected spending ratio in their first year of participants. Data analysis was conducted from July 2024 to May 2025. Exposure: Quartiles of ACO efficiency with a higher spending ratio denoting lower efficiency. Main Outcomes and Measures: The primary outcome was receipt of a shared savings bonus in the second, third, and fourth agreement years. Multivariable logistic regression was used to estimate the association between ACO efficiency quartiles and earning a bonus and how the regional benchmark adjustment in 2017 affected this association across measured agreement years. Results: Across 402 ACOs, the median (IQR) spending ratio was 1.000 (0.993- 1.005). After adjustment, the most efficient ACOs (ie, lowest quartile of the spending ratio) had an increased probability of earning a bonus from 24.4% (95% CI, 15.3%-33.4%) to 45.2% (95% CI, 35.4%-55.0%) after the 2017 introduction of the regional benchmark adjustment. However, the least efficient ACOs (ie, top quartile of the spending ratio) were significantly more likely to earn bonuses prior to (43.8%; 95% CI, 33.7%-53.9%) and after (60.7%; 95% CI, 51.3%-70.1%) the benchmarking change, without evidence that this gap narrowed. Conclusions and Relevance: In this cross-sectional study, ACOs across the range of efficiency on entry had greater odds of earning bonuses after the introduction of the regional benchmark adjustment in 2017. However, less efficient ACOs had significantly greater odds of earning bonuses compared with more efficient ACOs, before and after the policy change.

Identifiers

PMID41746643
PMCPMC12947013

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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.