UsingAll of Usdata to examine the mental health change during COVID-19 pandemic among people living with HIV: A longitudinal study protocol

Author:

Qiao ShanORCID,Zhang Jiajia,Liang ChenORCID,Li Xiaoming

Abstract

IntroductionThe COVID-19 pandemic has negatively affected people’s mental health around the globe. Such effects may be especially compounded among some vulnerable populations such as people living with HIV (PLWH). However, large-scale data on mental health outcomes among PLWH are limited. Few studies have also identified potential protective factors for mental health outcomes.Methods and analysisGuided by theories of resilience and socioecology, we will leverage multiple datasets from National Institutes of Health’s Cloud-basedAll of UsProgramme including electronic health records (EHRs), a series of COVID-19 Participant Experience (COPE) Surveys conducted from May 2020 to February 2021, and other self-reported survey data to achieve two specific aims: (1) to examine the mental health outcome changes during COVID-19 pandemic among PLWH by employing both EHR data (2018–2022) and survey data (2020–2021) in theAll of UsProgramme; and (2) to identify potential protective factors based on COPE Survey data for mental health outcomes at multiple socioecological levels including individual level (eg, coping strategy), interpersonal level (eg, social support) and health institutional level (eg, health service accessibility), adjusting for pre-existing health conditions including psychiatric disorders and other relevant factors (eg, COVID-19 infection). Interaction terms will be included in the multivariable analysis to identify different socially disadvantaged or stigmatised subgroups.Ethics and disseminationThe study has been approved by the institutional review board at the University of South Carolina (Pro00124044). Study findings will be disseminated through presentations at academic conferences and publications in peer-reviewed journals.

Funder

NIH/NIMH

Publisher

BMJ

Subject

General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3