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

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

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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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