Computational approaches to understand the impact of social determinants of health on HIV care continuums
了解健康社会决定因素对艾滋病毒护理连续体影响的计算方法
基本信息
- 批准号:10327081
- 负责人:
- 金额:$ 24.6万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-07-08 至 2023-06-30
- 项目状态:已结题
- 来源:
- 关键词:AIDS preventionAIDS/HIV problemAddressAdherenceAffectCaringChicagoChronic DiseaseCohort StudiesCommunitiesComplexComputer ModelsComputing MethodologiesContinuity of Patient CareCriminal JusticeCross-Sectional StudiesDataData AnalysesData SourcesDecision MakingDependenceDistalEconomicsEmploymentFeedbackFutureGeographic LocationsGoalsHIVHIV diagnosisHealthHousingIllinoisImprisonmentIncidenceIndividualInterventionLiteratureLogisticsLongterm Follow-upMediator of activation proteinMental HealthMethodsModelingOutcomePathway interactionsPeriodicityPopulationPreventionPublic HealthRandomizedRecordsResearchResourcesRiskScienceSeriesSex BehaviorStatistical MethodsStructureSystemTestingTimeTobacco useUnemploymentViralWorkbarrier to carebaseblack men who have sex with mendisease transmissionexperienceexperimental studyfollow-uphealth inequalitieshousing instabilityimplementation scienceimprovedimproved outcomeinsightintervention effectmathematical modelmemberpre-exposure prophylaxispreventive interventionpsychosocialsocialsocial health determinantssocial structurestressorsubstance usetherapy developmenttransmission processuptakevirtual
项目摘要
PROJECT SUMMARY/ABSTRACT
Background: Black men who have sex with men (MSM) are disproportionately affected by HIV and other
socio-structural factors that contribute to inequities along the HIV prevention and care continuum. Evidence
suggests that factors such as housing instability, criminal justice involvement, and unemployment may pose
significant barriers to engagement in HIV prevention and care for Black MSM. To date however, existing
interventions have been ineffective at addressing these barriers for Black MSM. Because such interventions
are resource intensive and logistically challenging, particularly for vulnerable communities who are often highly
mobile and less likely to engage in research in traditional settings, guidance is needed at the intervention
development stage to determine the most impactful and efficient intervention strategies. Agent-based models
(ABMs) provide an opportunity to virtually evaluate candidate interventions to facilitate more efficient and timely
intervention development. Because they allow for the conduct of counterfactual experiments, ABMs can also
facilitate identification of effects that would be difficult to isolate using traditional approaches and provide
valuable insights to guide implementation of HIV prevention interventions. Objective: Building on an existing
modeling platform, this proposal will utilize multiple existing data sources to characterize relationships among
socio-structural stressors, psychosocial mediators, and HIV prevention and care continuum outcomes among
Black MSM and combine methods from implementation science and agent-based modeling to understand the
potential impact of structural interventions for reducing HIV transmission. Methods: We will utilize local
empirical data to create a realistic synthetic population within an existing agent-based model and apply
statistical and computational methods to better understand how socio-structural factors impact engagement in
HIV prevention and care continuums. We will then conduct a series of experiments to evaluate how socio-
structural factors impact the uptake of existing biomedical interventions and compare outcomes under
scenarios with different combinations of interventions Significance: A better understanding of where and how
to focus intervention efforts offers potential to improve outcomes along the care continuum by addressing
socio-structural barriers to HIV prevention and care engagement for Black MSM. Once developed, our
approach can be adapted to other geographic areas to reflect prevention priorities for local health departments
and can serve as an example application of ABM methods within implementation science to advance HIV
prevention science.
项目总结/文摘
项目成果
期刊论文数量(0)
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Anna Hotton其他文献
Anna Hotton的其他文献
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{{ truncateString('Anna Hotton', 18)}}的其他基金
Computational modeling to evaluate socio-structural interventions for HIV and substance use
用于评估艾滋病毒和药物滥用的社会结构干预措施的计算模型
- 批准号:
10789121 - 财政年份:2023
- 资助金额:
$ 24.6万 - 项目类别:
Computational approaches to understand the impact of social determinants of health on HIV care continuums
了解健康社会决定因素对艾滋病毒护理连续体影响的计算方法
- 批准号:
10447767 - 财政年份:2021
- 资助金额:
$ 24.6万 - 项目类别:














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