Keep It Up! 3.0: Study protocol for a type III hybrid implementation-effectiveness cluster-randomized trial.
Keep It Up! 3.0: Study protocol for a type III hybrid implementation-effectiveness cluster-randomized trial.
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继续努力吧！
DOI：
10.1016/j.cct.2023.107134
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发表时间：
2023
影响因子：
2.2
通讯作者：
Dean
中科院分区：
文献类型：
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作者：
Mustanski,Brian;Saber,Rana;Jones,JustinPatrick;Macapagal,Kathryn;Benbow,Nanette;Li,DennisH;Brown,CHendricks;Janulis,Patrick;Smith,JustinD;Marsh,Elizabeth;Schackman,BruceR;Linas,BenjaminP;Madkins,Krystal;Swann,Gregory;Dean
背景尽管有证据表明，电子健康的方法可以有效地降低艾滋病毒的风险，他们的实施要求，公共卫生规模没有很好地建立，有效的战略，使这些计划付诸实践仍然是未知的。继续努力！(KIU!)是一个在线计划，证明可以降低男男性行为者（YMSM）的艾滋病毒风险，是制定和评估实施电子健康艾滋病毒预防计划的新策略的理想人选。阿秋！3.0是一项III型混合强制性-实施群集随机试验，旨在1）比较实施KIU！的两种策略：社区为基础的组织（CBO）与集中直接面向消费者（DTC）招聘; 2）检查的影响，战略和决定因素的变化，在实施成功;和3）开发材料，以维持KIU！在审判结束后。在这篇文章中，我们描述了用于实现这些目标的approaches.MethodsUsing县级人口估计YMSM，66个县被选中，并随机2：1的CBO和DTC的方法。RE-AIM模型用于驱动结果测量，这些测量是从CBO工作人员、YMSM和技术提供商那里收集的。映射到域的综合框架实施研究的混合方法的研究将检查的决定因素和他们的关系与implementation outcomes.DiscussionIn比较我们的实施招聘模型，我们正在研究两个战略，已显示出有效性，在过去提供卫生技术干预措施，但很少有人知道他们的比较优势和劣势，在实施。试验结果将进一步了解电子健康预防干预措施的实施情况。
BackgroundDespite evidence that eHealth approaches can be effective in reducing HIV risk, their implementation requirements for public health scale up are not well established, and effective strategies to bring these programs into practice are still unknown. Keep It Up! (KIU!) is an online program proven to reduce HIV risk among young men who have sex with men (YMSM) and ideal candidate to develop and evaluate novel strategies for implementing eHealth HIV prevention programs. KIU! 3.0 is a Type III Hybrid Effectiveness-Implementation cluster randomized trial designed to 1) compare two strategies for implementing KIU!: community-based organizations (CBO) versus centralized direct-to-consumer (DTC) recruitment; 2) examine the effect of strategies and determinants on variability in implementation success; and 3) develop materials for sustainment of KIU! after the trial concludes. In this article, we describe the approaches used to achieve these aims.MethodsUsing county-level population estimates of YMSM, 66 counties were selected and randomized 2:1 to the CBO and DTC approaches. The RE-AIM model was used to drive outcome measurements, which were collected from CBO staff, YMSM, and technology providers. Mixed-methods research mapped onto the domains of the Consolidated Framework for Implementation Research will examine determinants and their relationship with implementation outcomes.DiscussionIn comparing our implementation recruitment models, we are examining two strategies which have shown effectiveness in delivering health technology interventions in the past, yet little is known about their comparative advantages and disadvantages in implementation. The results of the trial will further the understanding of eHealth prevention intervention implementation.