如何改进和优先考虑数字卫生干预的关键绩效指标:关于使用共识方法论的教程,以实现对新型数字卫生干预的有意义评估
Catherine McCabe1, Leona Connolly1, Yuri Quintana2,3
1School of Nursing and Midwifery, Trinity College Dublin, Dublin, Ireland.
Journal of medical Internet research
|April 16, 2025
概括
本研究概述了为数字卫生干预 (DHIs) 制定关键绩效指标 (KPIs) 的四个阶段过程. 它强调了利益相关方的商和德尔菲技术,以达成对评估DHI的KPI的共识.
科学领域:
- 数字健康数字健康
- 医疗信息学 医疗信息学
- 医疗保健服务研究 医疗服务研究
背景情况:
- 数字健康干预 (DHIs) 为改善和促进医疗保健提供了巨大的潜力.
- 在制定,完善和优先考虑DHI评估的关键绩效指标 (KPIs) 的既定方法中存在一个显著的差距.
- "重力健康"项目旨在通过创建创新的数字健康解决方案来解决这一问题.
研究的目的:
- 呈现一个结构化的,四个阶段的过程,用于开发,完善和优先级的KPI的DHIs.
- 建立一个框架,在数字健康项目中制定KPI的利益相关者商和达成共识.
- 在Gravitate Health项目中创建一套强大的KPI来评估DHIs.
主要方法:
- 一个四个阶段的过程,涉及到利益相关者商,范围审查和Delphi技术.
- 最初的利益相关者商确定了7个类别的KPI的广泛清单.
- 在250名财团成员中,Delphi技术被用来改进和优先考虑KPI.
主要成果:
- 这一过程导致消除了一类关键关键指标,留下六个优先级类别.
- 德尔菲技术在一个大而多样化的财团中促进了对关键关键指标的大量列表的共识.
- 最终的关键指标清单对各种利益相关者的需求敏感,并捕获用于DHI评估的真实数据.
结论:
- 提出的四个阶段过程,包括利益相关者商和德尔菲技术,为DHIs的KPI开发提供了可行的框架.
- 该方法确保创建相关和优先级的KPI,以进行有效的DHI评估.
- 开发的关键关键指标对于捕获现实世界的数据至关重要,以评估数字健康干预措施的影响和成功.
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