绘制与数字健康干预的参与过程:一个跨案例综合
Madison Milne-Ives1,2, Sophie R Homer3, Jackie Andrade3
1Faculty of Medical Sciences, Translational and Clinical Research Institute, Newcastle University, United Kingdom.
Mayo Clinic proceedings. Innovations, quality & outcomes
|June 12, 2025
概括
这项研究绘制了数字健康干预中的参与组件. 研究结果揭示了情感,认知和行为元素之间的相互作用,为增强干预设计和影响提供了一个框架.
科学领域:
- 数字健康干预措施 数字健康干预措施
- 人与计算机的互动.
- 行为科学是一种行为科学.
背景情况:
- 参与对于数字健康干预成功至关重要.
- 了解情感,认知和行为参与组件是关键.
- 现有的模型可能无法完全捕捉参与动态.
研究的目的:
- 绘制情感,认知和行为参与组件之间的关联.
- 制定一个改善数字卫生干预设计和影响的框架.
- 将经验发现与假设的参与模型进行比较.
主要方法:
- 探索性的多个案例研究设计.
- 检查了三个数字健康干预措施:儿童肥胖应用程序,心理健康聊天机器人和术后评估工具.
- 从半结构面试获得的定性数据,使用编码书主题分析进行分析.
主要成果:
- 在情感,认知和行为参与组件之间观察到密切的关联.
- 经验参与模式出现了,但与假设模型有所不同.
- 认知和情感参与之间的影响顺序因文献而异.
结论:
- 了解参与组件的相互作用对于干预优化至关重要.
- 拟议的框架为支持参与提供了指导.
- 需要对成分顺序和特征影响进行进一步的研究,以提高临床影响.
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