一个复杂的数字健康干预来支持艾滋病毒感染者:组织准备调查研究研究和混合有效性-实施研究的预实施计划
Jacqueline Hodges1, Wendy Cohn2, Amanda Castel3
1Division of Infectious Diseases, Department of Medicine, Duke University, 315 Trent Drive, Durham, NC, 27710, United States, 1 919 681 1309, 1 434 404 4578.
Journal of medical Internet research
|January 22, 2026
概括
规划混合数字健康干预试验需要仔细考虑实施结果和决定因素. 本研究概述了一种主动的方法来衡量这些因素在一个大的队列,突出挑战和机会,现实世界的有效性.
科学领域:
- 实施科学 实施科学
- 数字健康干预措施 数字健康干预措施
- 医疗保健服务研究 医疗服务研究
背景情况:
- 在实践中评估数字健康干预 (DHI) 是复杂的,涉及不同的用户和流程.
- 设计混合DHI研究的操作指导是有限的,尽管需要主动规划.
- 实施决定因素和结果必须被捕捉到混合研究.
研究的目的:
- 积极定义,优先考虑和操作化测量DHI混合有效性-实施试验的实施结果和决定因素.
- 在大规模的队列研究中描述计划实施评估的优点和局限性.
- 分享审前组织准备性评估结果.
主要方法:
- 一个集群随机化,II型混合有效性-实施试验计划用于PositiveLinks智能手机应用程序的HIV护理.
- 实施科学框架 (RE-AIM,CFIR) 被用于指导实施结果和决定因素的测量.
- 修改或创建了用于收集数据的仪器,并制定了数据收集计划.
- 供应商调查评估了数字工具的使用情况和组织准备实施变革的情况.
主要成果:
- 该研究确定了DHI和实施策略,以衡量计划的覆盖范围和采用.
- 映射到RE-AIM框架强调了捕捉覆盖范围和实施维度的考虑因素.
- 创建了工具,以在大型样本中获得CFIR领域的详细决定因素.
- 提供者和研究助理报告了高基准数字工具使用和组织准备程度.
结论:
- 在队列人群中混合DHI试验中的规划实施评估带来了独特的挑战和机会.
- 未来的试验规划必须平衡普遍性与严格的有效性测量.
- 对于大型多站点混合研究的评估,需要快速,可扩展的工具.
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