Evidence map›Paper›PMID 35532549›Full record

ArticlePopulation health management2022

The Proportion of Marginalized Individuals in US Communities and Hospital Participation in Bundled Payments.

Joshua M Liao, Said A Ibrahim, Qian Huang, John Connolly, Deborah S Cousins, Jingsan Zhu, Amol S Navathe

Abstract read
In one paragraph

Article in Population health management, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Article
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

7 authors.

Joshua M LiaoDepartment of Medicine, University of Washington School of Medicine, Seattle, Washington, USA.
Said A IbrahimDepartment of Medicine, Northwell Health, New York, New York, USA.
Qian HuangDepartment of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
John ConnollyPerelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Deborah S CousinsDepartment of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Jingsan ZhuDepartment of Medical Ethics and Health Policy, Perelman School of Medicine, 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
Comparing the Impact of Voluntary and Mandatory Bundled Payments on Disparities in Surgical CareR01MD013859 · NIMHD · UNIVERSITY OF PENNSYLVANIA · PI IBRAHIM, SAID A, LIAO, JOSHUA M · 2019 to 2022
$2.2M
The effect of voluntary bundled payments on vulnerable populationsR01HS027595 · AHRQ · UNIVERSITY OF PENNSYLVANIA · PI LIAO, JOSHUA M, NAVATHE, AMOL S · 2021 to 2024
$1.6M
AHRQ HHS R01 HS027595NIMHD NIH HHS R01 MD013859NIMHD NIH HHS R01 MD015055
6 · The paper itself

Abstract

Hospitals have demonstrated the benefits of both voluntary and mandatory bundled payments for joint replacement surgery. However, given generalizability and disparities concerns, it is critical to understand the availability of care through bundled payments to historically marginalized groups, such as racial and ethnic minorities and individuals with lower socioeconomic status (SES). This cross-sectional analysis of 3880 US communities evaluated the relationship between the proportion of Black and Hispanic individuals (minority share) or Medicare/Medicaid dual-eligible individuals (low SES share) and community-level participation in Bundled Payments for Care Improvement initiative (BPCI) (being a BPCI community) and Comprehensive Care for Joint Replacement (CJR) model (being a CJR community). An increase from the lowest to highest quartile of minority share was not associated with differences in the probability of being a BPCI community (3.5 percentage point [pp] difference, 95% confidence interval [CI] -1.2% to 8.3%,

Indexed as

MedicareReimbursement MechanismsAgedCross-Sectional StudiesHospitalsHumansUnited Statesbundled paymentshealth disparitieshealth equityMedicare

Identifiers

PMID35532549
PMCPMC9419980

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.