ArticleJournal of the American Heart Association2019
Contributions of Geography and Nongeographic Factors to the White-Black Gap in Hospital Quality for Coronary Heart Disease: A Decomposition Analysis.
Article in Journal of the American Heart Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed, 15 citations in OpenAlex.
- Bridging the Gap: Multidisciplinary Decision Making to Address Systemic Barriers in Cardiovascular Care.Current cardiology reports · 2026Review
- Geospatial Access to Pediatric Cardiac and Cardiac-Surgical Services by Neighborhood-Level Determinants of Health.Journal of the American Heart Association · 2026Article
- Article
- Referrals and Black-White Coronary Heart Disease Treatment Disparities: A Qualitative Study of Primary Care Physician Perspectives.Journal of general internal medicine · 2025Article
- Referral Networks, Racial Inequity, and Hospital Quality for Open Heart Surgery.Circulation. Cardiovascular quality and outcomes · 2025Article
- The segregation of physician networks providing care to black and white patients with heart disease: Concepts, measures, and empirical evaluation.Social science & medicine (1982) · 2024Article
- Patient Characteristics Associated With Admission to Low-Safety Inpatient Psychiatric Facilities: Evidence for Racial Inequities.Psychiatric services (Washington, D.C.) · 2021Article
- Racial Diversity Among American Cardiologists: Implications for the Past, Present, and Future.Circulation · 2021Article
- Contributions of Geography and Nongeographic Factors to the White-Black Gap in Hospital Quality for Coronary Heart Disease: A Decomposition Analysis.Journal of the American Heart Association · 2019Article
- Understanding Why Black Patients Have Worse Coronary Heart Disease Outcomes: Does the Answer Lie in Knowing Where Patients Seek Care?Journal of the American Heart Association · 2019Article
Corrections and comments
- Commented on by
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
Background Differences in hospital proximity and nongeographic factors affect disparities in hospital quality for heart disease, but their relative contributions are unknown. The current study quantifies the influences of these factors on the white-black gap in high- and low-quality hospital use for acute myocardial infarction (AMI) and coronary artery bypass grafting (CABG) surgery. Methods and Results We used Medicare claims to identify fee-for-service Medicare beneficiaries aged 65 and older hospitalized during 2009-2011 with AMI (n=384 443) and CABG (n=71 411). Hospital quality was measured using publicly available AMI mortality rates. In national and regional analyses, we used conditional multinomial logit models to estimate the white-black gap in high- and low-quality hospital use and decompose the gap into geographic and nongeographic contributions. Overall, more whites used high-quality hospitals for both conditions (34.8% versus 32.4% for AMI; 39.0% versus 29.9% for CABG;
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.