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

《2021-2025年艾滋病毒国家战略计划》（艾滋病毒计划）认识到，污名化是艾滋病毒/艾滋病防治工作取得成功的一个障碍。 鉴于一致的数据，结束艾滋病毒流行病倡议， 以及次优的艾滋病毒检测、预防和治疗结果。政府将污名问题列为优先事项 各机构尚未将减轻耻辱感的战略转化为改善心理健康的手段， 提高生活质量，优化艾滋病毒应对措施。作为回应，我们的目标是解决 艾滋病毒流行病控制方面的做法和优先事项， 在EHE优先领域的七个卫生部门和社区合作伙伴，系统地可视化关键的耻辱 指标和减轻耻辱对EHE支柱和当地艾滋病毒发病率的潜在影响，并使用 实施研究，以优化这些工具的可用性，并为减轻污名的干预措施提供信息。 这些目标将通过以下具体目标实现： 具体目标1 -使用来自AMIS、TWIST、PLHIV污名指数2.0的历史和未来迭代数据， NHBS，结合系统审查，创建整合到艾滋病SVu的耻辱仪表板。 具体目标2利用污名数据对污名和污名缓解的影响进行建模和可视化 对近端EHE指标进行干预，包括发病率、对状况的了解、诊断、与艾滋病毒的联系 护理、病毒抑制和PrEP覆盖率。 具体目标3 -与卫生部门和社区组织合作伙伴一起使用定性方法， 优化耻辱仪表板，包括可用性，演示文稿和信息，包括通知 与污名化有关的政策和制定地方减轻污名化战略。 这些目标高度响应“应对：流行病学，以结束艾滋病毒的流行”在使用数据，以支持 采取有效和有针对性的办法应对地方流行病， 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。关键 拟议研究的成果将包括整合到艾滋病受害者信息系统中的、以用户为中心的、经过改进的污名化仪表板 这使得数据可视化和工具能够规划和评估干预措施的下游影响， 支持使用污名仪表板和支持与污名证据联系的准则 在更多的卫生部门制定缓解干预计划，以实现艾滋病毒流行病控制目标。而 一个雄心勃勃的研究议程，这个调查团队的多样化经验和能力，重点是 污名和现有的伙伴关系使我们能够成功地为消除艾滋病毒作出贡献。 通过改进对艾滋病毒相关和交叉污名的衡量、使用和应对，制定流行病计划。

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.