数字健康中的微干预软件技术的设计框架:批判性解释合成
Dan Roland Persson1,2, Mel Ramasawmy3,4, Nushrat Khan3,5
1Department of Computer Science, University of Copenhagen, Copenhagen N, Denmark.
数字健康干预面临着参与挑战. 微干预软件技术设计 (D-MIST) 框架对微干预和叙述进行了分类,以改善长期用户参与和健康结果.
科学领域:
- 数字健康数字健康
- 人与计算机的交互
- 行为科学 行为科学
背景情况:
- 长期参与数字健康干预仍然是一个重大挑战.
- 微干预提供了一种灵活的方法,但将其整合到凝聚力的叙述中需要一个结构化的框架.
- 当前的研究往往侧重于个别的微干预,忽视了随着时间的推移整合的用户体验.
研究的目的:
- 引入设计微干预系统及其相关叙述的框架.
- 为微干预领域提供标准化术语和结构.
- 为了促进微干预系统的设计,评估和比较.
主要方法:
- 在主要的学术数据库中,按照PRISMA指南进行了系统的文献审查.
- 使用了批判性解释综合,包括相互翻译分析和反驳综合.
- 通过将其追溯到现有的微干预文献来验证开发的框架.
主要成果:
- 微干预软件技术设计 (D-MIST) 框架是基于35项研究开发的,其中80%是在2020年后发表的.
- D-MIST将微干预系统结构分为三个层次:叙事,微干预和事件.
- 该框架定义了关键组件,如决策规则,概念模型和交互模型,用于创建合并的用户体验.
结论:
- D-MIST框架为理解和开发微干预系统提供了一个全面的结构.
- 它强调了个性化健康叙述和改善远程健康结果的机会.
- 该框架旨在促进合作,促进数字健康微干预的研究.
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