Evidence map›Paper›PMID 30646146›Full record

ArticleJAMA network open2018

Association of Racial and Socioeconomic Disparities With Outcomes Among Patients Hospitalized With Acute Myocardial Infarction, Heart Failure, and Pneumonia: An Analysis of Within- and Between-Hospital Variation.

Nicholas S Downing, Changqin Wang, Aakriti Gupta, Yongfei Wang, Sudhakar V Nuti, Joseph S Ross, Susannah M Bernheim, Zhenqiu Lin, Sharon-Lise T Normand, Harlan M Krumholz

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 3 pooled it
18.0field-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

43 citing papers in PubMed, 3 syntheses or guidelines pooled it, 61 citations in OpenAlex.

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  14. Hospital Allocation and Racial Disparities in Health Care.The review of economics and statistics · 2024
    Article
  15. Modifiable risk factors of inequalities in hypertension: analysis of 100 million health checkups recipients.Hypertension research : official journal of the Japanese Society of Hypertension · 2024
    Article
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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 at 4 institutions in 1 country.

Nicholas S DowningBrigham and Women's Hospital, Boston, Massachusetts.
Changqin WangCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut.
Aakriti GuptaCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut.
Yongfei WangCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut.
Sudhakar V NutiYale School of Medicine, New Haven, Connecticut.
Joseph S RossCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut.
Susannah M BernheimCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut.
Zhenqiu LinCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut.
Sharon-Lise T NormandDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Harlan M KrumholzCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut.
Yale University · USYale New Haven Hospital · USHarvard University · USYale New Haven Health System · US

Funding

POSTDOCTORAL TRAINING IN CARDIOVASCULAR DISEASET32HL007854 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Marwah Abdalla, Michael Argenziano · 1996 to 2026
$14.7M
NHLBI NIH HHS T32 HL007854
6 · The paper itself

Abstract

Importance: Although studies have described differences in hospital outcomes by patient race and socioeconomic status, it is not clear whether such disparities are driven by hospitals themselves or by broader systemic effects. Objective: To determine patterns of racial and socioeconomic disparities in outcomes within and between hospitals for patients with acute myocardial infarction, heart failure, and pneumonia. Design, Setting, and Participants: Retrospective cohort study initiated before February 2013, with additional analyses conducted during the peer-review process. Hospitals in the United States treating at least 25 Medicare fee-for-service beneficiaries aged 65 years or older in each race (ie, black and white) and neighborhood income level (ie, higher income and lower income) for acute myocardial infarction, heart failure, and pneumonia between 2009 and 2011 were included. Main Outcomes and Measures: For within-hospital analyses, risk-standardized mortality rates and risk-standardized readmission rates for race and neighborhood income subgroups were calculated at each hospital. The corresponding ratios using intraclass correlation coefficients were then compared. For between-hospital analyses, risk-standardized rates were assessed according to hospitals' proportion of patients in each subgroup. These analyses were performed for each of the 12 analysis cohorts reflecting the unique combinations of outcomes (mortality and readmission), demographics (race and neighborhood income), and conditions (acute myocardial infarction, heart failure, and pneumonia). Results: Between 74% (3545 of 4810) and 91% (4136 of 4554) of US hospitals lacked sufficient racial and socioeconomic diversity to be included in this analysis, with the number of hospitals eligible for analysis varying among cohorts. The 12 analysis cohorts ranged in size from 418 to 1265 hospitals and from 144 417 to 703 324 patients. Within included hospitals, risk-standardized mortality rates tended to be lower among black patients (mean [SD] difference between risk-standardized mortality rates in black patients compared with white patients for acute myocardial infarction, -0.57 [1.1] [P = .47]; for heart failure, -4.7 [1.3] [P < .001]; and for pneumonia, -1.0 [2.0] [P = .05]). However, risk-standardized readmission rates among black patients were higher (mean [SD] difference between risk-standardized readmission rates in black patients compared with white patients for acute myocardial infarction, 4.3 [1.4] [P < .001]; for heart failure, 2.8 [1.8] [P < .001], and for pneumonia, 3.7 [1.3] [P < .001]). Intraclass correlation coefficients ranged from 0.68 to 0.79, indicating that hospitals generally delivered consistent quality to patients of differing races. While the coefficients in the neighborhood income analysis were slightly lower (0.46-0.60), indicating some heterogeneity in within-hospital performance, differences in mortality rates and readmission rates between the 2 neighborhood income groups were small. There were no strong, consistent associations between risk-standardized outcomes for white or higher-income neighborhood patients and hospitals' proportion of black or lower-income neighborhood patients. Conclusions and Relevance: Hospital performance according to race and socioeconomic status was generally consistent within and between hospitals, even as there were overall differences in outcomes by race and neighborhood income. This finding indicates that disparities are likely to be systemic, rather than localized to particular hospitals.

Indexed as

Health Status DisparitiesSocial ClassAgedAged, 80 and overBlack or African AmericanBlack PeopleCohort StudiesFee-for-Service PlansFemaleHeart FailureHospitalizationHospitalsHumansMaleMedicareMiddle Aged

Identifiers

PMID30646146
PMCPMC6324513
OpenAlexW2890933529

What OpenQuestion holds

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LicenceCC BY
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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.