绘制理论,模型和框架来评估数字健康干预:范围审查
Geneviève Rouleau1,2,3, Kelly Wu2, Karishini Ramamoorthi2
1Nursing department, Université du Québec en Outaouais, Saint-Jérôme, QC, Canada.
Journal of medical Internet research
|February 5, 2024
概括
该研究绘制了用于评估数字健康干预 (DHI) 的理论,模型和框架 (TMF). 调查结果显示,TMF主要为数据收集和分析提供信息,强调需要更清晰地报告实际用例,以加强DHI评估.
科学领域:
- 数字健康数字健康
- 医疗保健服务研究 医疗服务研究
- 实施科学 实施科学
背景情况:
- 数字健康干预措施 (DHIs) 显示出希望,但在现实世界的采用和影响方面面临挑战.
- 理论,模型和框架 (TMF) 可以解释DHI实施中的复杂相互作用.
- 了解TMF如何在实践中指导DHI评估至关重要,但未被充分探索.
研究的目的:
- 绘制DHI评估研究中使用的TMF景观.
- 描述TMF,它们的目标构造,以及它们在DHI评估中的未来角色.
- 评估TMF在DHI研究中的应用对知识用户的相关性和实用性.
主要方法:
- 使用综合知识翻译方法进行了范围审查.
- 包括的研究提供了DHI评估中TMF应用的主要见解.
- 从2000年开始发表的论文在多个数据库中进行了搜索.
主要成果:
- 包括2000年至2022年间发表的156项研究,确定了68种不同的TMF.
- 最常报告的TMF包括实施研究综合框架 (CFIR) 和覆盖范围,有效性,采用,实施和维护 (RE-AIM) 框架.
- TMF主要用于信息数据收集 (86项研究),数据分析 (69项研究) 和识别障碍/促进因素 (52项研究).
结论:
- TMF主要用于支持DHI评估中的数据收集和分析.
- 研究人员应该将洞察力综合到实际用例中,以提高发现的相关性和可消化性.
- 在评估中报告DHI和TMF使用的指导方针需要开发,以确保基于证据的技术转型.
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