Integrating the Visualization and Use of Stigma Data to Maximize the Impact of the Ending the HIV Epidemic Initiative

整合污名数据的可视化和使用，最大限度地发挥结束艾滋病毒流行倡议的影响

• 批准号: 10459729
• 负责人: Stefan David Baral
• 金额: $ 100.9万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-08 至 2027-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10459729
• 关键词: AIDS prevention; Address; Affect; American; Americas; Area; Behavioral; Caring; Centers for Disease Control and Prevention (U.S.); Collaborations; Communities; Competence; Complement; Consolidated Framework for Implementation Research; Data; Data Scientist; Diagnosis; Diagnostic; Ensure; Epidemic; Epidemiologist; Epidemiology; Evaluation; Future; Goals; Government Agencies; Guidelines; HIV; Health; Health Status; Human immunodeficiency virus test; Incidence; Internet; Intervention; Knowledge; Letters; Measurement; Mental Health; Modeling; Municipalities; Output; Persons; Policy Developments; Policy Maker; Population Heterogeneity; Prevention; Process; Qualitative Methods; Quality of life; Research; Risk; Solid; Strategic Planning; Surveys; System; Testing; Translating; Treatment outcome; United States; United States National Institutes of Health; Update; Viral; Visualization; Visualization software; Work; base; cisgender; dashboard; data visualization; design; experience; health disparity; human centered design; implementation research; improved; indexing; mathematical model; meetings; men; men who have sex with men; network models; personalized approach; pre-exposure prophylaxis; programs; response; social stigma; success; systematic review; tool; transgender women; treatment response; usability

The 2021-2025 HIV National Strategic Plan (HIV Plan) recognizes stigma as a barrier to the success of the Ending the HIV Epidemic (EHE) initiative given consistent data highlighting the relationship between stigma and suboptimal HIV testing, prevention, and treatment outcomes. The prioritization of stigma by government agencies has yet to translate to scaled stigma mitigation strategies as a means of improving mental health, quality of life, and optimizing the HIV response. In response, our goal is to address the disconnect between practice and priorities in HIV epidemic control by systematically collecting stigma data in partnership with seven health departments and community partners in priority EHE areas, systematically visualizing key stigma indicators and the potential impact of stigma mitigation on EHE pillars and local HIV incidence, and using implementation research to optimize the usability of these tools and inform stigma mitigation interventions. These goals will be achieved via the following specific aims: Specific Aim 1 – Use historical and future iterations of data from AMIS, TWIST, PLHIV Stigma Index 2.0, NHBS, combined with systematic reviews to create stigma dashboards integrated into AIDSVu. Specific Aim 2 Using stigma data to model and visualize the effects of stigma and stigma mitigation interventions on proximal EHE indicators including incidence, knowledge of status, diagnoses, linkage to HIV care, viral suppression, and PrEP coverage. Specific Aim 3 – Use qualitative methods with health departments and CBO partners to inform the optimization of the Stigma Dashboard including usability, presentation, and information included to inform stigma-related policies and the development of local stigma mitigation strategies. These aims are highly responsive to “Respond: Epidemiology to End the HIV Epidemic” in using data to support effective and tailored approaches to respond to local epidemics and include balanced collaborations between epidemiologists, data scientists, statisticians, and local health departments and community partners. The key outputs of the proposed research will include refined, user-centered stigma dashboards integrated into AIDSVu that allow for data visualization and tools to plan and assess downstream impacts of intervention, as well as guidelines to support implementation of use of stigma dashboards and support connection to evidence for stigma mitigation intervention planning to achieve HIV epidemic control goals in additional health departments. While an ambitious research agenda, the diverse experience and competencies of this investigative team focused on stigma and existing partnerships makes us well placed to be successful in contributing to the Ending HIV Epidemic plan through improved measurement, use of, and response to HIV-related and intersectional stigmas.

2021-2025 年艾滋病毒国家战略计划（艾滋病毒计划）承认耻辱是成功的障碍 鉴于一致的数据强调了耻辱之间的关系，结束艾滋病毒流行（EHE）倡议 政府对艾滋病毒检测、预防和治疗结果的重视程度不高。 各机构尚未将减轻耻辱的战略转化为改善心理健康的手段， 生活质量和优化艾滋病毒应对措施作为回应，我们的目标是解决两者之间的脱节。 通过与以下机构合作系统地收集污名数据来控制艾滋病毒流行的实践和优先事项 优先 EHE 领域的七个卫生部门和社区合作伙伴，系统地可视化关键的耻辱 指标以及减轻耻辱感对 EHE 支柱和当地艾滋病毒发病率的潜在影响，并利用 实施研究，以优化这些工具的可用性并为减轻耻辱干预措施提供信息。 这些目标将通过以下具体目标来实现： 具体目标 1 – 使用 AMIS、TWIST、PLHIV 耻辱指数 2.0 的历史和未来数据迭代， NHBS 结合系统审查来创建集成到 AIDSVu 中的耻辱仪表板。 具体目标 2 使用污名数据对污名和污名缓解的效果进行建模和可视化 对近端 EHE 指标的干预措施，包括发病率、状况知识、诊断、与 HIV 的联系 护理、病毒抑制和 PrEP 覆盖范围。 具体目标 3 – 与卫生部门和 CBO 合作伙伴一起使用定性方法来告知 优化 Stigma 仪表板，包括可用性、演示文稿和包含的信息 与耻辱相关的政策和制定当地减轻耻辱战略。 这些目标高度响应“应对：流行病学以结束艾滋病毒流行”，利用数据支持 采取有效和量身定制的方法来应对当地流行病，包括之间的平衡合作 流行病学家、数据科学家、统计学家以及当地卫生部门和社区合作伙伴。 拟议研究的成果将包括集成到 AIDSVu 中的精致的、以用户为中心的耻辱仪表板 允许数据可视化和工具来规划和评估干预的下游影响，以及 支持实施耻辱仪表板的使用并支持与耻辱证据联系的指南 缓解干预计划，以在其他卫生部门实现艾滋病毒流行控制目标。 雄心勃勃的研究议程，该调查团队的多样化经验和能力，重点关注 污名和现有的合作伙伴关系使我们有能力成功地为终结艾滋病毒做出贡献 通过改进对艾滋病毒相关污名和交叉污名的测量、使用和应对来制定流行病计划。