Utilizing All of Us data to examine the impact of COVID-19 on mental health among people living with HIV
Utilizing All of Us data to examine the impact of COVID-19 on mental health among people living with HIV
批准号:
10657875
负责人:
Xiaoming Li
金额:
$10.73万
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-08-16 至 2023-11-30
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
中文摘要
点击翻译按钮获取中文摘要
英文摘要
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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Big Data Analytics Emerging Scholar (e-Scholar) Program for Minority Students
-
批准号:10554786
-
项目类别:
-
资助金额:$31.33万
-
财政年份:2023
-
负责人:Xiaoming Li
-
依托单位:
University of South Carolina Big Data Health Science Conference
-
批准号:10751656
-
项目类别:
-
资助金额:$2.0万
-
财政年份:2023
-
负责人:Xiaoming Li
-
依托单位:
Visualizing and predicting new and late HIV diagnosis in South Carolina: A Big Data approach
-
批准号:10815140
-
项目类别:
-
资助金额:$69.91万
-
财政年份:2023
-
负责人:Xiaoming Li
-
依托单位:
Informatics Approach to Identification and Deep Phenotyping of PASC Cases
-
批准号:10574753
-
项目类别:
-
资助金额:$21.79万
-
财政年份:2022
-
负责人:Xiaoming Li
-
依托单位:
Curating a Knowledge Base for Individuals with Coinfection of HIV and SARS-CoV-2: EHR-based Data Mining
-
批准号:10481286
-
项目类别:
-
资助金额:$22.29万
-
财政年份:2022
-
负责人:Xiaoming Li
-
依托单位:
Informatics Approach to Identification and Deep Phenotyping of PASC Cases
-
批准号:10696087
-
项目类别:
-
资助金额:$18.04万
-
财政年份:2022
-
负责人:Xiaoming Li
-
依托单位:
Curating a Knowledge Base for Individuals with Coinfection of HIV and SARS-CoV-2: EHR-based Data Mining
-
批准号:10665078
-
项目类别:
-
资助金额:$18.57万
-
财政年份:2022
-
负责人:Xiaoming Li
-
依托单位:
Big Data Health Science Fellow Program in Infectious Disease Research
-
批准号:10666508
-
项目类别:
-
资助金额:$35.1万
-
财政年份:2021
-
负责人:Xiaoming Li
-
依托单位:
Big Data Health Science Fellow Program in Infectious Disease Research
-
批准号:10311679
-
项目类别:
-
资助金额:$35.1万
-
财政年份:2021
-
负责人:Xiaoming Li
-
依托单位:
Big Data Health Science Fellow Program in Infectious Disease Research
-
批准号:10897421
-
项目类别:
-
资助金额:$10.8万
-
财政年份:2021
-
负责人:Xiaoming Li
-
依托单位:
Big Data Health Science Fellow Program in Infectious Disease Research
-
批准号:10461949
-
项目类别:
-
资助金额:$35.1万
-
财政年份:2021
-
负责人:Xiaoming Li
-
依托单位:
Multilevel Determinants of Racial and Ethnic Disparities in Maternal Morbidity and Mortality in the Context of COVID-19 Pandemic
-
批准号:10392607
-
项目类别:
-
资助金额:$88.62万
-
财政年份:2021
-
负责人:Xiaoming Li
-
依托单位:
Mitigate the effect of HIV-related stigma through a resilience approach
-
批准号:10401515
-
项目类别:
-
资助金额:$63.03万
-
财政年份:2021
-
负责人:Xiaoming Li
-
依托单位:
BDD CIS: Big Data Driven Clinical Informatics & Surveillance - A Multimodal Database Focused Clinical, Community, & Multi-Omics Surveillance Plan for COVID19
-
批准号:10190370
-
项目类别:
-
资助金额:$62.63万
-
财政年份:2020
-
负责人:Xiaoming Li
-
依托单位:
Big Data analytics of HIV treatment gaps in South Carolina: Identification and prediction
-
批准号:10160773
-
项目类别:
-
资助金额:$58.96万
-
财政年份:2017
-
负责人:Xiaoming Li
-
依托单位:
Big Data analytics of HIV treatment gaps in South Carolina: Identification and prediction
-
批准号:9404773
-
项目类别:
-
资助金额:$65.56万
-
财政年份:2017
-
负责人:Xiaoming Li
-
依托单位:
Theory-based HIV Disclosure Intervention for Parents
-
批准号:9135005
-
项目类别:
-
资助金额:$32.39万
-
财政年份:2015
-
负责人:Xiaoming Li
-
依托单位:
Theory-based HIV Disclosure Intervention for Parents
-
批准号:8517170
-
项目类别:
-
资助金额:$33.88万
-
财政年份:2012
-
负责人:Xiaoming Li
-
依托单位:
Theory-based HIV Disclosure Intervention for Parents
-
批准号:8390381
-
项目类别:
-
资助金额:$37.58万
-
财政年份:2012
-
负责人:Xiaoming Li
-
依托单位:
Theory-based HIV Disclosure Intervention for Parents
-
批准号:8704975
-
项目类别:
-
资助金额:$33.99万
-
财政年份:2012
-
负责人:Xiaoming Li
-
依托单位:
海外基金