Causal Mediation of Neighborhood-Level Pediatric Hospitalization Inequities

Author:

Brokamp Cole12,Jones Margaret N.12,Duan Qing1,Rasnick Manning Erika1,Ray Sarah2,Corley Alexandra M.S.12,Michael Joseph1,Taylor Stuart1,Unaka Ndidi12,Beck Andrew F.12,

Affiliation:

1. aCincinnati Children’s Hospital Medical Center, Cincinnati, Ohio

2. bUniversity of Cincinnati College of Medicine, Cincinnati, Ohio

Abstract

BACKGROUND AND OBJECTIVES Population-wide racial inequities in child health outcomes are well documented. Less is known about causal pathways linking inequities and social, economic, and environmental exposures. Here, we sought to estimate the total inequities in population-level hospitalization rates and determine how much is mediated by place-based exposures and community characteristics. METHODS We employed a population-wide, neighborhood-level study that included youth <18 years hospitalized between July 1, 2016 and June 30, 2022. We defined a causal directed acyclic graph a priori to estimate the mediating pathways by which marginalized population composition causes census tract-level hospitalization rates. We used negative binomial regression models to estimate hospitalization rate inequities and how much of these inequities were mediated indirectly through place-based social, economic, and environmental exposures. RESULTS We analyzed 50 719 hospitalizations experienced by 28 390 patients. We calculated census tract-level hospitalization rates per 1000 children, which ranged from 10.9 to 143.0 (median 45.1; interquartile range 34.5 to 60.1) across included tracts. For every 10% increase in the marginalized population, the tract-level hospitalization rate increased by 6.2% (95% confidence interval: 4.5 to 8.0). After adjustment for tract-level community material deprivation, crime risk, English usage, housing tenure, family composition, hospital access, greenspace, traffic-related air pollution, and housing conditions, no inequity remained (0.2%, 95% confidence interval: −2.2 to 2.7). Results differed when considering subsets of asthma, type 1 diabetes, sickle cell anemia, and psychiatric disorders. CONCLUSIONS Our findings provide additional evidence supporting structural racism as a significant root cause of inequities in child health outcomes, including outcomes at the population level.

Publisher

American Academy of Pediatrics (AAP)

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