Suppr超能文献

Clinical Documentation of Social Determinants of Health and Its Relationship With COVID-19 Outcomes Among People With and Without HIV: A Retrospective Analysis of Nation-Level Data.

作者信息

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

机构信息

Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC.

South Carolina SmartState Center for Healthcare Quality, Arnold School of Public Health, University of South Carolina, Columbia, SC.

出版信息

J Acquir Immune Defic Syndr. 2025 Oct 1;100(2):170-179. doi: 10.1097/QAI.0000000000003717.

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 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, that is, community/social domain, socioeconomic domain, and environmental domain. Logistic regression models were used 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 1 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.

CONCLUSIONS

Although documented Z code associations with severe COVID-19 outcomes were similar between PWH and 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.

摘要

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验