Exploring the Relation between Contextual Social Determinants of Health and COVID-19 Occurrence and Hospitalization

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dc.citation.articleNumber4en_US
dc.citation.issueNumber1en_US
dc.citation.journalTitleInformaticsen_US
dc.citation.volumeNumber11en_US
dc.contributor.authorChen, Aokunen_US
dc.contributor.authorZhao, Yunpengen_US
dc.contributor.authorZheng, Yien_US
dc.contributor.authorHu, Huien_US
dc.contributor.authorHu, Xiaen_US
dc.contributor.authorFishe, Jennifer N.en_US
dc.contributor.authorHogan, William R.en_US
dc.contributor.authorShenkman, Elizabeth A.en_US
dc.contributor.authorGuo, Yien_US
dc.contributor.authorBian, Jiangen_US
dc.date.accessioned2024-07-25T20:55:16Zen_US
dc.date.available2024-07-25T20:55:16Zen_US
dc.date.issued2024en_US
dc.description.abstractIt is prudent to take a unified approach to exploring how contextual social determinants of health (SDoH) relate to COVID-19 occurrence and outcomes. Poor geographically represented data and a small number of contextual SDoH examined in most previous research studies have left a knowledge gap in the relationships between contextual SDoH and COVID-19 outcomes. In this study, we linked 199 contextual SDoH factors covering 11 domains of social and built environments with electronic health records (EHRs) from a large clinical research network (CRN) in the National Patient-Centered Clinical Research Network (PCORnet) to explore the relation between contextual SDoH and COVID-19 occurrence and hospitalization. We identified 15,890 COVID-19 patients and 63,560 matched non-COVID-19 patients in Florida between January 2020 and May 2021. We adopted a two-phase multiple linear regression approach modified from that in the exposome-wide association (ExWAS) study. After removing the highly correlated SDoH variables, 86 contextual SDoH variables were included in the data analysis. Adjusting for race, ethnicity, and comorbidities, we found six contextual SDoH variables (i.e., hospital available beds and utilization, percent of vacant property, number of golf courses, and percent of minority) related to the occurrence of COVID-19, and three variables (i.e., farmers market, low access, and religion) related to the hospitalization of COVID-19. To our best knowledge, this is the first study to explore the relationship between contextual SDoH and COVID-19 occurrence and hospitalization using EHRs in a major PCORnet CRN. As an exploratory study, the causal effect of SDoH on COVID-19 outcomes will be evaluated in future studies.en_US
dc.identifier.citationChen, A., Zhao, Y., Zheng, Y., Hu, H., Hu, X., Fishe, J. N., Hogan, W. R., Shenkman, E. A., Guo, Y., & Bian, J. (2024). Exploring the Relation between Contextual Social Determinants of Health and COVID-19 Occurrence and Hospitalization. Informatics, 11(1), Article 1. https://doi.org/10.3390/informatics11010004en_US
dc.identifier.digitalinformatics-11-00004en_US
dc.identifier.doihttps://doi.org/10.3390/informatics11010004en_US
dc.identifier.urihttps://hdl.handle.net/1911/117513en_US
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.rightsExcept where otherwise noted, this work is licensed under a Creative Commons Attribution (CC BY) license.  Permission to reuse, publish, or reproduce the work beyond the terms of the license or beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.titleExploring the Relation between Contextual Social Determinants of Health and COVID-19 Occurrence and Hospitalizationen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
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