将数字心理健康干预的特征分类为患者决策援助的发展信息
Gemma Bradley1, Lucia Rehackova2, Kayleigh Devereaux3
1Department of Social Work, Education and Community Wellbeing, Faculty of Health and Life Sciences, Northumbria University, United Kingdom.
PLOS digital health
|March 26, 2025
概括
数字心理健康干预 (DMHI) 提供可扩展的心理支持. 对24个DMHI的审查提供了决策辅助,帮助用户根据偏好和证据选择合适的数字工具.
科学领域:
- 数字心理健康数字心理健康
- 医疗信息学 医疗信息学
- 心理干预 心理干预
背景情况:
- 数字心理健康干预 (DMHI) 是一种可扩展的方法,可以提高获得心理支持的机会.
- DMHI包含多种功能,包括交付系统 (应用程序,网站) 和功能 (信息,监控,治疗),需要以用户为中心的选择.
- 决策辅助对于在可用的DMHI中做出知情,基于偏好的选择至关重要.
研究的目的:
- 审查英国现有的数字心理健康干预 (DMHI) 的特点.
- 为开发患者决策辅助工具提供信息,以支持DMHI患者的共享决策.
- 扩展现有的DMHIs分类系统,以指导数据提取和合成.
主要方法:
- 通过指导小组会议,调查和与用户的采访确定在英国可用的DMHIs的审查.
- 将以前的分类系统扩展到八个维度:目标人群,系统,功能,时间,便利性,持续时间和强度以及研究证据.
- 数据提取和综合24个符合条件的DMHIs的特征,针对16岁以上患有心理健康状况的用户.
主要成果:
- 大多数DMHIs (54%) 针对低情绪,焦虑或抑郁,主要通过应用程序或网站提供.
- 大多数人提供单向信息 (88%),其中许多包括治疗功能 (75%),监测 (42%) 或决策支持 (38%).
- 33%的DMHIs从随机对照试验中得到了有效性的证据;大多数是自导和免费或低成本的.
结论:
- 对24个DMHI的全面审查确定了与用户偏好相关的关键特征.
- 为原型决策辅助工具开发了六个偏好诱导声明.
- 原型决策辅助工具旨在支持对数字心理健康干预措施的知情,基于偏好的选择.
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