Evidence map›Paper›PMID 38249949›Full record

ArticleSAGE open medicine2024

Association of hospital and market characteristics with 30-day readmission rates from 2009 to 2015.

Gabriel S Tajeu, Ganisher Davlyatov, David Becker, Robert Weech-Maldonado, Abby Swanson Kazley

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in SAGE open medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 15% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

5 authors at 4 institutions in 1 country.

Gabriel S TajeuDepartment of Health Services Administration and Policy, Temple University, Philadelphia, PA, USA.ORCID https://orcid.org/0000-0002-9982-5250
Ganisher DavlyatovDepartment of Health Administration and Policy, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
David BeckerDepartment of Health Care Organization and Policy, University of Alabama at Birmingham, Birmingham, AL, USA.
Robert Weech-MaldonadoDepartment of Health Administration, University of Alabama at Birmingham, Birmingham, AL, USA.
Abby Swanson KazleyDepartment of Healthcare Leadership and Management, Medical University of South Carolina, Charleston, SC, USA.
University of Alabama at Birmingham · USMedical University of South Carolina · USTemple University · USUniversity of Oklahoma Health Sciences Center · US

Funding

Machine Learning to Reduce Hypertension Treatment Clinical InertiaK01HL151974 · NHLBI · TEMPLE UNIV OF THE COMMONWEALTH · PI TAJEU, GABRIEL S · 2020 to 2024
$739k
NHLBI NIH HHS K01 HL151974NHLBI NIH HHS L30 HL148987
6 · The paper itself

Abstract

Objectives: The US government implemented the Hospital Readmission Reduction Program on 1 October 2012 to reduce readmission rates through financial penalties to hospitals with excessive readmissions. We conducted a pooled cross-sectional analysis of US hospitals from 2009 to 2015 to determine the association of the Hospital Readmission Reduction Program with 30-day readmissions. Methods: We utilized multivariable linear regression with year and state fixed effects. The model was adjusted for hospital and market characteristics lagged by 1 year. Interaction effects of hospital and market characteristics with the Hospital Readmission Reduction Program indicator variable was also included to assess whether associations of Hospital Readmission Reduction Program with 30-day readmissions differed by these characteristics. Results: In multivariable adjusted analysis, the main effect of the Hospital Readmission Reduction Program was a 3.80 percentage point ( Conclusion: Findings of the current study support the effectiveness of the Hospital Readmission Reduction Program but also point to the need to consider the ability of hospitals to respond to penalties and incentives based on their characteristics during policy development.

Indexed as

30-day readmissionshospital characteristicshospital readmission reduction programmarket characteristicssocial determinants of health

Identifiers

PMID38249949
PMCPMC10798130
OpenAlexW4390988153

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.