Evidence map›Paper›PMID 41991177›Full record

Observational studyHealth services research2026

Income and Geographic Disparities in in-Hospital Mortality Following Cardiovascular Procedures: Evidence From the National Inpatient Sample, 2016-2022.

Alon Bergman, Ashwin Nathan

Abstract readObservational Study
In one paragraph

Observational study in Health services research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Alon BergmanDepartment of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0003-4228-8543
Ashwin NathanDivision of Cardiology, Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine whether income- and geography-related disparities in in-hospital mortality after major cardiovascular procedures arise from differences in patient acuity, hospital characteristics, or inequities within hospitals. STUDY SETTING AND

designThis observational study analyzed national data on eight major cardiovascular procedures performed between 2016 and 2022. We used multivariable logistic regression with progressive adjustment for demographics, clinical severity (All Patient Refined Diagnosis Related Groups [APR-DRG] risk and severity scores), and hospital characteristics. DATA SOURCES AND ANALYTIC SAMPLE: We analyzed secondary data from the National Inpatient Sample including 1,120,235 discharges (weighted N = 5,906,795) representing adults undergoing percutaneous coronary intervention, coronary artery bypass grafting, carotid endarterectomy/stenting, surgical valve replacement, transcatheter valve procedures, non-carotid endarterectomy, aneurysm repair, or peripheral bypass. Patient income was proxied using ZIP code-level median household income quartiles. Geographic location was classified as large metropolitan (≥ 1 million population), smaller metropolitan (50,000-999,999), or non-metropolitan. PRINCIPAL

findingsLowest-income patients presented with mean APR-DRG risk scores 0.15-0.25 points higher than highest-income patients. After full adjustment with hospital fixed effects, in-hospital mortality was 0.67% points higher (95% CI: 0.08-1.26) among lowest-income patients. Geographic patterns were complex: after adjusting for hospital characteristics, non-metropolitan location was associated with 0.48% points higher mortality, though this was not statistically significant (95% CI: -0.01 to 0.97), and smaller metropolitan areas with 1.03% points higher mortality (95% CI: 0.30-1.76). Between-hospital differences explained 11.6% of mortality variance.

conclusionsSocioeconomic and geographic disparities in mortality following major cardiovascular procedures persist after adjustment for clinical and hospital factors. These disparities remain, with slightly larger point estimates, in within-hospital analyses, suggesting that hospital-level differences alone do not account for observed inequities. Interventions should address both social determinants and intra-hospital inequities. Multilevel interventions targeting both social determinants and within-hospital processes may be needed.

Indexed as

Cardiovascular Surgical ProceduresHealthcare DisparitiesHospital MortalityIncomeAdultAgedFemaleHumansInpatientsMaleMiddle AgedSocioeconomic Disparities in HealthSocioeconomic FactorsUnited Statescardiovascular diseasesdisparitiesgeographymortalitysocioeconomic factors

Identifiers

PMID41991177
PMCPMC13086525

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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.