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

IF 4.7 2区 医学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Allison E Gatz, Chenxi Xiong, Yao Chen, Shihui Jiang, Chi Mai Nguyen, Qianqian Song, Xiaochun Li, Pengyue Zhang, Michael T Eadon, Jing Su
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引用次数: 0

Abstract

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.

严重酸中毒风险的健康差异:来自 "我们所有人 "队列的真实证据。
摘要评估不同健康社会决定因素(SDoH)领域的健康差异对严重酸中毒风险的影响,不受人口和临床因素的影响:利用 "我们所有人 "参与者的电子健康记录(EHR)、SDoH 调查和基因组学数据,开展一项回顾性病例对照研究(n = 13 310,1:4 匹配)。倾向得分匹配可控制因电子健康记录数据可用性而产生的混杂效应。条件逻辑回归用于估计描述 SDoHs 与酸中毒事件风险之间关系的几率比,并对人口特征和临床条件进行调整:拥有雇主提供的保险和医疗补助计划的人群所面临的风险大不相同[调整后的几率比(AOR):0.761 vs 1.41]。低收入人群(家庭收入低于 2.5 万美元,AOR:1.3-1.57)的风险高于高收入人群(10-20 万美元,AOR:0.597-0.867)。其他高危因素包括行动不便(AOR:1.32)、失业(AOR:1.32)、租房(AOR:1.41)、其他无房者(AOR:1.7)和房屋不稳定(AOR:1.25)。教育程度与酸中毒风险呈负相关:我们的工作提供了现实世界的证据,证明了在少数民族群体或代表性不足的人群中,由于社会经济和行为因素造成的全面健康差异:SDoHs与严重代谢性酸中毒风险的系统性健康差异密切相关。医疗保险类型、家庭收入水平、住房状况和稳定性、就业状况、教育水平和行动不便在调整人口特征和临床条件后发挥着重要作用。我们需要全面的解决方案来改善医疗保健的公平性并降低严重酸中毒的风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of the American Medical Informatics Association
Journal of the American Medical Informatics Association 医学-计算机:跨学科应用
CiteScore
14.50
自引率
7.80%
发文量
230
审稿时长
3-8 weeks
期刊介绍: JAMIA is AMIA''s premier peer-reviewed journal for biomedical and health informatics. Covering the full spectrum of activities in the field, JAMIA includes informatics articles in the areas of clinical care, clinical research, translational science, implementation science, imaging, education, consumer health, public health, and policy. JAMIA''s articles describe innovative informatics research and systems that help to advance biomedical science and to promote health. Case reports, perspectives and reviews also help readers stay connected with the most important informatics developments in implementation, policy and education.
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