Health disparities in the risk of severe acidosis: real-world evidence from the All of Us cohort.

Autor:	Gatz AE; Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, United States., Xiong C; Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN 46202, United States.; Department of Computer and Information Technology, Purdue University, West Lafayette, IN 47907, United States., Chen Y; Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN 46202, United States., Jiang S; Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN 46202, United States., Nguyen CM; Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN 46202, United States., Song Q; Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL 32608, United States., Li X; Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN 46202, United States., Zhang P; Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN 46202, United States., Eadon MT; Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, United States., Su J; Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN 46202, United States.
Jazyk:	angličtina
Zdroj:	Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2024 Oct 14. Date of Electronic Publication: 2024 Oct 14.
DOI:	10.1093/jamia/ocae256
Abstrakt:	Objective: To assess the health disparities across social determinants of health (SDoH) domains for the risk of severe acidosis independent of demographical and clinical factors. Materials and Methods: A retrospective case-control study (n = 13 310, 1:4 matching) is performed using electronic health records (EHRs), SDoH surveys, and genomics data from the All of Us participants. The propensity score matching controls confounding effects due to EHR data availability. Conditional logistic regressions are used to estimate odds ratios describing associations between SDoHs and the risk of acidosis events, adjusted for demographic features, and clinical conditions. Results: Those with employer-provided insurance and those with Medicaid plans show dramatically different risks [adjusted odds ratio (AOR): 0.761 vs 1.41]. Low-income groups demonstrate higher risk (household income less than $25k, AOR: 1.3-1.57) than high-income groups ($100-$200k, AOR: 0.597-0.867). Other high-risk factors include impaired mobility (AOR: 1.32), unemployment (AOR: 1.32), renters (AOR: 1.41), other non-house-owners (AOR: 1.7), and house instability (AOR: 1.25). Education was negatively associated with acidosis risk. Discussion: Our work provides real-world evidence of the comprehensive health disparities due to socioeconomic and behavioral contributors in a cohort enriched in minority groups or underrepresented populations. Conclusions: SDoHs are strongly associated with systematic health disparities in the risk of severe metabolic acidosis. Types of health insurance, household income levels, housing status and stability, employment status, educational level, and mobility disability play significant roles after being adjusted for demographic features and clinical conditions. Comprehensive solutions are needed to improve equity in healthcare and reduce the risk of severe acidosis. (© The Author(s) 2024. Published by Oxford University Press on behalf of the American Medical Informatics Association.)
Databáze:	MEDLINE
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