Evidence map›Paper›PMID 38193960›Full record

ArticleJAMA2024

Measuring Equity in Readmission as a Distinct Assessment of Hospital Performance.

Katherine A Nash, Himali Weerahandi, Huihui Yu, Arjun K Venkatesh, Louisa W Holaday, Jeph Herrin, Zhenqiu Lin, Leora I Horwitz, Joseph S Ross, Susannah M Bernheim

Open access · greenAbstract readComparative Study
In one paragraph

Article in JAMA, 2024. 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
16.9field-weighted citation impact, top 1% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 1 country.

Katherine A NashDepartment of Pediatrics, Columbia University Vagelos College of Physicians and Surgeons, New York, New York.
Himali WeerahandiDivision of Hospital Medicine, Department of Medicine, University of California, San Francisco.
Huihui YuCenter for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut.
Arjun K VenkateshDepartment of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut.
Louisa W HoladayDivision of General Internal Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
Jeph HerrinFlying Buttress Associates, Charlottesville, Virginia.
Zhenqiu LinCenter for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut.
Leora I HorwitzCenter for Healthcare Innovation and Delivery Science, NYU Langone Health, New York, New York.
Joseph S RossCenter for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut.
Susannah M BernheimDivision of General Internal Medicine, Department of Medicine, Yale University School of Medicine, New Haven, Connecticut.
Yale University · USYale New Haven Hospital · USColumbia University · USIcahn School of Medicine at Mount Sinai · USUniversity of California, San Francisco · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
The Lifespan/Brown Criminal Justice Research Program on Substance Use and HIVR25DA037190 · NIDA · MIRIAM HOSPITAL · PI CURT G BECKWITH · 2014 to 2026
$3.5M
Advancing Health Disparities Research in Aging: The Aging Research in Criminal Justice & Health (ARCH) NetworkR24AG065175 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LISA C BARRY, BRIE A WILLIAMS · 2019 to 2026
$3.3M
Understanding hospital value: provider, hospital and community effectsR01HS022882 · AHRQ · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HORWITZ, LEORA · 2014 to 2023
$2.9M
Research Training for the Care of Vulnerable Older Adults with Alzheimer’s Disease and Related Dementias and Other Chronic ConditionsT32AG066598 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Alex D Federman · 2020 to 2026
$2.3M
Characteristics of Transitions from Skilled Nursing Facility to Home Following Heart Failure HospitalizationK23HL145110 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WEERAHANDI, HIMALI · 2019 to 2023
$958k
AHRQ HHS R01 HS022882NCATS NIH HHS UL1 TR001863NHLBI NIH HHS K23 HL145110NIA NIH HHS R24 AG065175NIA NIH HHS T32 AG066598NIDA NIH HHS R25 DA037190
6 · The paper itself

Abstract

Importance: Equity is an essential domain of health care quality. The Centers for Medicare & Medicaid Services (CMS) developed 2 Disparity Methods that together assess equity in clinical outcomes. Objectives: To define a measure of equitable readmissions; identify hospitals with equitable readmissions by insurance (dual eligible vs non-dual eligible) or patient race (Black vs White); and compare hospitals with and without equitable readmissions by hospital characteristics and performance on accountability measures (quality, cost, and value). Design, Setting, and Participants: Cross-sectional study of US hospitals eligible for the CMS Hospital-Wide Readmission measure using Medicare data from July 2018 through June 2019. Main Outcomes and Measures: We created a definition of equitable readmissions using CMS Disparity Methods, which evaluate hospitals on 2 methods: outcomes for populations at risk for disparities (across-hospital method); and disparities in care within hospitals' patient populations (within-a-single-hospital method). Exposures: Hospital patient demographics; hospital characteristics; and 3 measures of hospital performance-quality, cost, and value (quality relative to cost). Results: Of 4638 hospitals, 74% served a sufficient number of dual-eligible patients, and 42% served a sufficient number of Black patients to apply CMS Disparity Methods by insurance and race. Of eligible hospitals, 17% had equitable readmission rates by insurance and 30% by race. Hospitals with equitable readmissions by insurance or race cared for a lower percentage of Black patients (insurance, 1.9% [IQR, 0.2%-8.8%] vs 3.3% [IQR, 0.7%-10.8%], P < .01; race, 7.6% [IQR, 3.2%-16.6%] vs 9.3% [IQR, 4.0%-19.0%], P = .01), and differed from nonequitable hospitals in multiple domains (teaching status, geography, size; P < .01). In examining equity by insurance, hospitals with low costs were more likely to have equitable readmissions (odds ratio, 1.57 [95% CI, 1.38-1.77), and there was no relationship between quality and value, and equity. In examining equity by race, hospitals with high overall quality were more likely to have equitable readmissions (odds ratio, 1.14 [95% CI, 1.03-1.26]), and there was no relationship between cost and value, and equity. Conclusion and Relevance: A minority of hospitals achieved equitable readmissions. Notably, hospitals with equitable readmissions were characteristically different from those without. For example, hospitals with equitable readmissions served fewer Black patients, reinforcing the role of structural racism in hospital-level inequities. Implementation of an equitable readmission measure must consider unequal distribution of at-risk patients among hospitals.

Indexed as

Healthcare DisparitiesHealth EquityHospitalsMedicarePatient ReadmissionQuality of Health CareAgedBlack or African AmericanBlack PeopleCross-Sectional StudiesHumansPatient Outcome AssessmentUnited StatesWhite

Identifiers

PMID38193960
PMCPMC10777266
OpenAlexW4390772799

What OpenQuestion holds

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Registered trials

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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.