Augmenting electronic health record data with social and environmental determinant of health measures to understand regional factors associated with asthma exacerbations

Alana Schreibman, Kimberly Lactaoen, Jaehyun Joo, Patrick K Gleeson, Gary E Weissman, Andrea J Apter, Rebecca A Hubbard and Blanca E Himes

PLOS Digital Health, 2025, vol. 4, issue 6, 1-24

Abstract: Electronic health records (EHRs) provide rich data for diverse populations but often lack information on social and environmental determinants of health (SEDH) that are important for the study of complex conditions such as asthma, a chronic inflammatory lung disease. We integrated EHR data with seven SEDH datasets to conduct a retrospective cohort study of 6,656 adults with asthma. Using Penn Medicine encounter data from January 1, 2017 to December 31, 2020, we identified individual-level and spatially-varying factors associated with asthma exacerbations. Black race and prescription of an inhaled corticosteroid were strong risk factors for asthma exacerbations according to a logistic regression model of individual-level risk. A spatial generalized additive model (GAM) identified a hotspot of increased exacerbation risk (mean OR = 1.41, SD 0.14, p

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pdig00:0000677

DOI: 10.1371/journal.pdig.0000677

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