实施科学框架的操作化,以规划数字卫生干预措施的混合有效性-实施研究
Jacqueline Hodges1, Wendy Cohn2, Amanda D Castel3
1Duke University.
Research square
|November 28, 2024
概括
计划在混合试验中实施数字健康干预需要仔细考虑现实世界的适用性和严格的评估方法. 本研究概述了一个框架,用于捕捉复杂的医疗保健环境中的实施决定因素和结果.
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
- 公共卫生 公共卫生
背景情况:
- 在实践中评估数字健康干预 (DHI) 是复杂的,因为不同的用户和多步骤的过程.
- 对于DHI实施研究,特别是混合试验的操作指南是有限的.
- 积极的规划对于在混合研究中捕捉实施决定因素和结果至关重要.
研究的目的:
- 描述在混合有效性-实施试验中评估DHI实施的规划过程.
- 概述在现实环境中捕捉实施决定因素和结果的方法.
- 在规划混合试验的DHI实施评估时识别挑战和机会.
主要方法:
- 一个集群随机化,II型混合试验测试了PositiveLinks智能手机应用程序用于HIV护理.
- 该研究涉及定义DHI组件,选择实施科学框架 (RE-AIM),并将其映射到评估目标.
- 修改/创建了工具,以收集有关实施结果和决定因素的数据,并制定了兼容的数据收集计划.
主要成果:
- 规范DHI组件和战略,根据计划覆盖范围和采用情况进行评估.
- 该RE-AIM框架为实施战略步骤和成果的数据收集提供了指导.
- 现有和新工具捕捉了代表性,覆盖范围,采用,提供者调整,剂量和忠实性.
- 挑战包括反映现实世界的实施和修改方面,以保持内部有效性.
结论:
- 在混合试验中规划DHI实施评估提出了挑战和机遇.
- 混合试验规划必须平衡通用性与严格的有效性测量程序.
- 对于大型的多站点混合研究,需要进一步研究快速,可扩展的工具.
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