Utilizing All of Us data to examine the impact of COVID-19 on mental health among people living with HIV

利用 All of Us 数据研究 COVID-19 对 HIV 感染者心理健康的影响

基本信息

  • 批准号:
    10657875
  • 负责人:
  • 金额:
    $ 10.73万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-08-16 至 2023-11-30
  • 项目状态:
    已结题

项目摘要

Abstract In response to the NOSI (NOT-PM-22-002), we propose to expand the resilience conceptual framework in our parent grant (1R01MH127961-01A1, 12/2021-11/2026) to a different context (COVID-19) and a new population (people living with HIV [PLWH] in the United States). Further, we propose to explore if a resilience approach can be used to mitigate the negative impacts of COVID-19 on the mental health among PLWH. We will leverage multiple datasets from the All of Us program, including electronic health records (EHR), a series of COVID-19 Participant Experience (COPE) surveys, and other self-reported survey data. Integrating these data from about 12 thousand PLWH who participated in COPE, we will: 1) examine the trends and patterns of mental health outcomes (i.e., psychiatric disorder diagnoses via ICD-10 and mental health assessments via survey) among PLWH before and after the COVID-19 outbreak; and 2) identify protective factors at multiple socioecological levels including the individual level (e.g., resilience), interpersonal level (e.g., social support), and health institutional level (e.g., health service accessibility) that may mitigate the negative impacts of the COVID-19 pandemic on mental health outcomes among PLWH, especially the subgroups with socially disadvantaged status (low income and low education) and stigmatized identities (racial/ethnic minorities, sexual and gender minorities). Based on rich data from a large cohort of PLWH, the findings will advance our understanding of their mental health needs during the pandemic and mental health disparities of PLWH in the US and inform tailored health interventions to improve mental health outcomes among PLWH, especially those from disadvantaged subgroups. Our study goal is aligned with the Office of AIDS Research's and National Institute of Mental Health's research priorities in terms of social sciences studies and health disparities reduction. The proposed study will leverage existing NIH investment, capitalize on a rapid understanding of mental health needs among PLWH, stimulate additional collaborations with the All of Us program, and promote the translation of All of Us data to public health implications. The experience and preliminary data obtained from this supplement will position us for further efforts in utilizing All of Us data to improve mental and other health outcomes of PLWH in the US.
摘要 为回应NOSI(NOT-PM-22-002),我们建议在 我们的母公司补助金(1 R 01 MH 127961 - 01 A1,12/2021-11/2026)用于不同的背景(COVID-19)和新的 人口(美国艾滋病毒感染者[PLWH])。此外,我们建议探讨是否有一个弹性, 我们的方法可用于减轻COVID-19对艾滋病毒携带者心理健康的负面影响。我们 将利用来自All of Us计划的多个数据集,包括电子健康记录(EHR),一系列 COVID-19参与者体验(科普)调查和其他自我报告的调查数据。整合这些 从大约12000名参与科普的PLWH的数据中,我们将:1)检查 心理健康结果(即,通过ICD-10进行精神疾病诊断,通过 调查)在2019冠状病毒病爆发前后的艾滋病毒携带者中;以及2)在多种情况下确定保护因素 包括个体水平的社会生态水平(例如,弹性),人际层面(例如,社会支持), 和卫生机构一级(例如,卫生服务的可获得性), 2019冠状病毒病大流行对艾滋病病毒携带者心理健康结果的影响,特别是有社交活动的亚组 弱势地位(低收入和低教育水平)和被污名化的身份(种族/族裔少数, 性和性别少数群体)。基于大量PLWH队列的丰富数据,这些发现将推动我们的研究。 了解他们在大流行期间的心理健康需求以及 美国并提供量身定制的健康干预措施,以改善艾滋病毒携带者的心理健康结果, 那些来自弱势群体的人。我们的研究目标与艾滋病研究办公室和国家艾滋病研究中心一致。 心理健康研究所在社会科学研究和健康差距方面的研究重点 还原拟议的研究将利用现有的NIH投资,利用对 PLWH中的心理健康需求,刺激与我们所有人计划的额外合作, 促进将All of Us数据转化为公共卫生影响。经验和初步数据 从本补充材料中获得的信息将使我们能够进一步努力利用All of Us数据来改善心理健康 以及美国PLWH的其他健康结果。

项目成果

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Xiaoming Li其他文献

Xiaoming Li的其他文献

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{{ truncateString('Xiaoming Li', 18)}}的其他基金

Big Data Analytics Emerging Scholar (e-Scholar) Program for Minority Students
少数民族学生大数据分析新兴学者(e-Scholar)计划
  • 批准号:
    10554786
  • 财政年份:
    2023
  • 资助金额:
    $ 10.73万
  • 项目类别:
University of South Carolina Big Data Health Science Conference
南卡罗来纳大学大数据健康科学会议
  • 批准号:
    10751656
  • 财政年份:
    2023
  • 资助金额:
    $ 10.73万
  • 项目类别:
Visualizing and predicting new and late HIV diagnosis in South Carolina: A Big Data approach
可视化和预测南卡罗来纳州新的和晚期的艾滋病毒诊断:大数据方法
  • 批准号:
    10815140
  • 财政年份:
    2023
  • 资助金额:
    $ 10.73万
  • 项目类别:
Informatics Approach to Identification and Deep Phenotyping of PASC Cases
PASC 病例识别和深度表型分析的信息学方法
  • 批准号:
    10574753
  • 财政年份:
    2022
  • 资助金额:
    $ 10.73万
  • 项目类别:
Curating a Knowledge Base for Individuals with Coinfection of HIV and SARS-CoV-2: EHR-based Data Mining
为 HIV 和 SARS-CoV-2 混合感染者打造知识库:基于 EHR 的数据挖掘
  • 批准号:
    10481286
  • 财政年份:
    2022
  • 资助金额:
    $ 10.73万
  • 项目类别:
Informatics Approach to Identification and Deep Phenotyping of PASC Cases
PASC 病例识别和深度表型分析的信息学方法
  • 批准号:
    10696087
  • 财政年份:
    2022
  • 资助金额:
    $ 10.73万
  • 项目类别:
Curating a Knowledge Base for Individuals with Coinfection of HIV and SARS-CoV-2: EHR-based Data Mining
为 HIV 和 SARS-CoV-2 混合感染者打造知识库:基于 EHR 的数据挖掘
  • 批准号:
    10665078
  • 财政年份:
    2022
  • 资助金额:
    $ 10.73万
  • 项目类别:
Big Data Health Science Fellow Program in Infectious Disease Research
传染病研究大数据健康科学研究生计划
  • 批准号:
    10666508
  • 财政年份:
    2021
  • 资助金额:
    $ 10.73万
  • 项目类别:
Big Data Health Science Fellow Program in Infectious Disease Research
传染病研究大数据健康科学研究生计划
  • 批准号:
    10311679
  • 财政年份:
    2021
  • 资助金额:
    $ 10.73万
  • 项目类别:
Big Data Health Science Fellow Program in Infectious Disease Research
传染病研究大数据健康科学研究生计划
  • 批准号:
    10897421
  • 财政年份:
    2021
  • 资助金额:
    $ 10.73万
  • 项目类别:

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