Developing and Testing a Social Network Data Capture Tool to Improve Partner Services

项目摘要 在艾滋病毒和性传播感染(STI)中，实时了解 最近感染的人对于快速诊断、治疗和预防新病例至关重要，而且在 洞察疾病是如何传播的，哪些人群风险最高，谁应该是 作为干预的目标。最有效和最广泛实施的方法之一是理解和 对传播网络进行干预的是合作伙伴服务，或者采访新诊断为 HIV，以便确定任何可能暴露的合作伙伴，并通知、测试，如有必要，将这些 需要关心的合作伙伴。由疾病控制和预防中心支持的循证干预 对于那些新诊断为艾滋病毒或性传播感染的人，合作伙伴服务是一个基本的公共卫生应对措施 在减缓艾滋病毒传播方面非常有效。不幸的是，合作伙伴服务的实施 公共卫生部门往往是一个挑战。卫生部门在资金和后勤方面都很有限 资源，疾病研究人员权衡建立关系信任的相互竞争的优先事项，同时 记录详细的数据，就其性质而言，性和毒品网络数据是复杂的，并构成巨大的 数据捕获、处理和存储过程中的方法挑战。为了应对类似的困难， 收集了社交网络的研究数据，我们团队构建了一个免费的开源和NIH资助的软件 为研究人员提供的套件，称为网络画布。通过利用我们现有软件工具的优势，我们 下一步，希望建立一个免费的开源软件工具，简化和现代化疾病调查 对于进行合作伙伴服务的公共卫生官员，这一拟议的R34将支持必要的 形成性工作。特别是，我们将确定公共卫生部门开展合作伙伴的需求 并制定满足这些需求所需的软件重新配置的详细规范。 我们还将在芝加哥部门的合作伙伴服务中开发和实施该软件的试点 以证明可行性和可接受性，并收集疗效的初步证据。 我们将在积极的实施框架的指导下进行这项工作，这些框架利用分阶段的方法和 与当地(例如，芝加哥公共卫生部)和国家利益攸关方(例如， 全国性病主管联盟)探索、安装和实施合作伙伴服务中的软件试点。 该项目将提供必要的形成工作，为未来的全面发展，R01- 我们将评估网络的有效性的层级多站点阶梯式楔形实施试验 改善合作伙伴服务成果的画布。最后，这款R34是与PA-18-780一起开发的 并测试一种新的干预措施，以改善艾滋病毒的预防、护理和计划执行(临床试验 可选)。

Project Summary Across HIV and sexually transmitted infections (STIs), the real-time understanding of transmission networks of recently infected individuals is vital for the rapid diagnosis, treatment, and prevention of new cases, and in providing insight into how the disease is transmitted, which populations are at highest risk, and who should be targeted for intervention. One of the most effective and widely implemented methods for understanding and intervening upon transmission networks is Partner Services - or interviewing a person newly diagnosed with HIV in order to identify any potentially exposed partners and notify, test, and if necessary, connect those partners to care. Backed by the Centers for Disease Control and Prevention as an evidence-based intervention for those newly diagnosed with HIV or STIs, Partner Services is a foundational public health response shown to be highly effective at slowing the spread of HIV. Unfortunately, the implementation of Partner Services by public health departments is often a challenge. Health departments have limited financial and logistical resources, disease investigators balance competing priorities of building relational trust while simultaneously recording detailed data, and by its nature, sexual and drug network data is complicated and poses enormous methodological challenges during data capture, processing, and storage. In response to similar difficulties in the collection of social network research data, our team has built a free open-source and NIH-funded software suite for researchers, called Network Canvas. By building on the strengths of our existing software tool, we next hope to build a free and open-source software tool that will simplify and modernize disease investigation for public health officials conducting Partner Services, and this proposed R34 will support the necessary formative work. In particular, we will characterize the needs of public health departments conducting Partner Services and develop a detailed specification of the software reconfiguration necessary to meet these needs. We will also develop and implement a pilot of the software within Partner Services at the Chicago Department of Public Health in order to demonstrate feasibility, acceptability, and gather preliminary evidence of efficacy. We will conduct this work guided by Active Implementation Frameworks which utilize a staged-approach and strong engagement with local (e.g., Chicago Department of Public Health) and national stakeholders (e.g., National Coalition of STD Directors) to explore, install, and implement a software pilot into Partner Services. This project will provide the formative work necessary to inform the development of a future full-scale, R01- level multi-site stepped wedge implementation trial in which we will evaluate the effectiveness of Network Canvas in improving outcomes for Partner Services. Finally, this R34 is in the line with PA-18-780 to develop and test a novel intervention to improve HIV prevention, care, and program implementation (Clinical Trial Optional).