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
- 来源:
- 关键词:Acquired Immunodeficiency SyndromeAddressAffectAge-YearsAgingAll of Us Research ProgramAnxietyAnxiety DisordersCOVID-19COVID-19 impactCOVID-19 outbreakCOVID-19 pandemicCOVID-19 pandemic effectsCOVID-19 vaccinationCaringChronic DiseaseCodeCollaborationsComplementComplexDataData AnalysesData ScienceDiabetes MellitusDiagnosisDisadvantagedEducationElectronic Health RecordEthnic OriginFinancial HardshipFosteringFrightGender IdentityGoalsHIVHealthHealth PromotionHealth Services AccessibilityHigh PrevalenceHypertensionImmune systemImpairmentIncomeIndividualInternational Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10)InterventionInvestmentsKnowledgeLonelinessLow incomeLung diseasesMeasuresMental HealthMental disordersMental health promotionMood DisordersNational Institute of Mental HealthOutcomeParticipantPatient Self-ReportPatternPersonal SatisfactionPersonality DisordersPersonsPopulationPositioning AttributePreventionPsyche structurePublic HealthRaceReduce health disparitiesResearchResearch PriorityRisk FactorsSARS-CoV-2 infectionSample SizeSchizophreniaSeriesServicesSexual and Gender MinoritiesSocial IdentificationSocial SciencesSocial supportStigmatizationStressSubgroupSubstance Use DisorderSurveysSymptomsTestingTranslationsUnited StatesUnited States National Institutes of HealthVulnerable Populationsbasecloud basedcohortcomorbiditydesigndisparity reductioneffective interventionethnic minorityexperiencehealth assessmenthealth disparityhigh riskimprovedlarge scale datamultiple datasetsnegative affectpandemic diseaseparent grantparent projectprogramsprotective factorspsychologicpsychosocial wellbeingpublic health emergencyracial and ethnicrecruitresilienceresponsesexual identitysocial disadvantagesocial stigmasocioeconomic disadvantagestress related disordertheoriestrend
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.
抽象的
为了响应 NOSI (NOT-PM-22-002),我们建议扩展复原力概念框架
我们的家长拨款(1R01MH127961-01A1,12/2021-11/2026)到不同的背景(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弹性
方法可用于减轻 COVID-19 对 PLWH 心理健康的负面影响。我们
将利用 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 (COPE) 调查以及其他自我报告的调查数据。整合这些
根据参与 COPE 的约 12,000 名 PLWH 的数据,我们将: 1) 研究以下趋势和模式:
心理健康结果(即通过 ICD-10 进行精神疾病诊断和通过 ICD-10 进行心理健康评估)
调查)在 COVID-19 爆发前后的 PLWH 中; 2)确定多个保护因素
社会生态层面,包括个人层面(例如复原力)、人际层面(例如社会支持)、
和卫生机构水平(例如,卫生服务的可及性)可以减轻负面影响
COVID-19 大流行对 PLWH 心理健康结果的影响,尤其是具有社交能力的亚群体
弱势地位(低收入和低教育)和污名化身份(种族/族裔少数群体、
性和性别少数)。基于大量 PLWH 的丰富数据,研究结果将推动我们的研究
了解他们在大流行期间的心理健康需求以及不同地区感染者的心理健康差异
美国并提供量身定制的健康干预措施,以改善 PLWH 的心理健康结果,特别是
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
心理健康研究所在社会科学研究和健康差异方面的研究重点
减少。拟议的研究将利用现有的 NIH 投资,利用对
PLWH 的心理健康需求,刺激与“我们所有人”计划的更多合作,以及
促进将“我们所有人”的数据转化为对公共卫生的影响。经验和初步数据
从本补充中获得的数据将使我们能够进一步努力利用我们所有人的数据来改善心理
以及美国艾滋病病毒感染者和艾滋病患者的其他健康结果。
项目成果
期刊论文数量(0)
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Xiaoming Li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:
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- 批准号:
10815140 - 财政年份:2023
- 资助金额:
$ 10.73万 - 项目类别:
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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:
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
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- 批准号:
10574753 - 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:
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
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$ 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
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10897421 - 财政年份:2021
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