Clinical documentation of social determinants of health and its relationship with COVID-19 outcomes among people with and without HIV.

Xueying Yang, Jiajia Zhang, Yunqing Ma, Shujie Chen, Rena C Patel, Daniela B Friedman, Brooks Yelton, Bankole Olatosi, Sharon Weissman, Xiaoming Li
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Abstract

Introduction: This study aimed to compare the clinical documentation of social determinants of health (SDoH) data and its associations with COVID-19 clinical outcomes among people with HIV (PWH) and people without HIV (PWoH) in the United States (US) using the nationally sampled electronic health records (EHR) repository called the National COVID Cohort Collaborative (N3C).

Methods: Information on all adult COVID-19 cases was retrieved in the N3C platform from 2020 through 2023. Under the Super-Utilizer Model, we categorized SDoH measures (identified by ICD-10-CM diagnosis codes ["Z codes"]) into different domains, i.e., community/social domain, socioeconomic domain, and environmental domain. Logistic regression models were employed for analysis.

Results: Among 41,759 PWH and 6,795,369 PWoH with a COVID-19 infection, 49.8% and 24.0% had at least one Z code documented in the EHR, respectively. For both PWH and PWoH, problems related to employment and housing in the socioeconomic domain and problems related to legal and psychosocial circumstances in the community/social domain were the most commonly documented Z codes associated with severe COVID-19 outcomes; while problems related to upbringing in community/social domain and economic issues in socioeconomic domain were associated with reduced risk of severe COVID-19 outcomes.

Conclusion: While documented Z code associations with severe COVID-19 outcomes were similar between PWH or PWoH, they varied between SDoH factors. Identification of Z code associations with severe COVID-19 related outcomes allows for intervention at the population health level, and even more broadly for tracking and resource allocation by public health officials or policymakers.

在艾滋病毒感染者和非艾滋病毒感染者中,健康的社会决定因素及其与COVID-19结局的关系的临床文件
本研究旨在比较美国HIV感染者(PWH)和非HIV感染者(PWoH)中健康社会决定因素(SDoH)数据的临床文献及其与COVID-19临床结果的关联,该数据使用称为国家COVID队列协作(N3C)的全国抽样电子健康记录(EHR)存储库。方法:在N3C平台检索2020 - 2023年所有成人COVID-19病例信息。在super - utilitizer模型下,我们将SDoH措施(由ICD-10-CM诊断代码[“Z代码”]确定)分为不同的领域,即社区/社会领域、社会经济领域和环境领域。采用Logistic回归模型进行分析。结果:在41759名PWH和6795369名感染COVID-19的PWH中,分别有49.8%和24.0%的人在电子病历中记录了至少一个Z代码。对于PWH和PWoH来说,与社会经济领域的就业和住房相关的问题以及与社区/社会领域的法律和社会心理环境相关的问题是与COVID-19严重后果相关的最常见的Z代码;而社区/社会领域的成长问题和社会经济领域的经济问题与降低COVID-19严重后果的风险相关。结论:虽然记录的Z码与严重COVID-19结局的关联在PWH或PWoH之间相似,但在SDoH因素之间存在差异。确定Z码与COVID-19严重相关结果的关联,可以在人口健康层面进行干预,甚至更广泛地用于公共卫生官员或政策制定者的跟踪和资源分配。
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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