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; 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HIV国家战略计划（HIV计划）认为污名是成功的障碍 结束艾滋病毒流行（EHE）倡议，给出了一致的数据，强调了污名之间的关系 以及次优的HIV检测，预防和治疗结果。政府对污名的优先次序 机构尚未转化为缩放污名策略，以改善心理健康， 生活质量，并优化艾滋病毒反应。作为回应，我们的目标是解决 通过系统地收集污名数据，与 优先领域的七个卫生部门和社区合作伙伴，系统地可视化关键污名 指标以及污名缓解对EHE支柱和当地艾滋病毒事件的潜在影响，并使用 实施研究，以优化这些工具的可用性并为污名化干预措施提供信息。 这些目标将通过以下特定目的实现： 特定目的1 - 使用来自AMI，Twist，Plhiv污名指数2.0的数据和未来迭代， NHB，再加上系统的评论，以创建集成到AIDSVU中的污名仪表板。 使用污名数据的特定目标2对污名和污名的影响进行建模和可视化 近端指标的干预措施，包括事件，身份知识，诊断，与艾滋病毒联系 护理，病毒抑制和准备范围。 特定目标3 - 与卫生部门和CBO合作伙伴使用定性方法通知 污名仪表板的优化包括可用性，演示和信息，以告知 与污名相关的政策以及局部污名缓解策略的制定。 这些目标对使用数据来支持的“回应：流行病学结束艾滋病毒流行”的反应高度敏感 有效和量身定制的方法来应对本地流行病，并包括平衡的合作 流行病学家，数据科学家，统计学家以及地方卫生部门和社区伙伴。钥匙 拟议研究的输出将包括整合到AIDSVU的精制，以用户为中心的污名仪表板 这允许数据可视化和工具来计划和评估干预的下游影响，以及 支持实施污名仪表板的使用的准则，并支持与污名证据的连接 缓解干预计划，以实现其他卫生部门的艾滋病毒流行控制目标。尽管 雄心勃勃的研究议程，该调查团队的潜水员经验和能力专注于 污名和现有伙伴关系使我们有利地为结束艾滋病毒做出贡献 通过改进对HIV相关和交叉污名的测量，使用和反应的测量，使用和反应，流行病计划。