基于情绪调节的过程模型,用于解决情绪问题的基于数字干预
Diyang Qu1, Dongyu Liu1, Chengxi Cai1
1Vanke School of Public Health, Tsinghua University, Beijing, China.
Digital health
|July 24, 2023
概括
数字心理健康计划TEA在一项32名参与者的在线研究中有效地减少了抑郁和焦虑症状. 这种自我指导的干预措施显示了持久的效果和高的从业者满意度,解决了心理健康服务的差距.
科学领域:
- 数字心理健康数字心理健康
- 心理干预 心理干预
- 全球健康 全球健康
背景情况:
- 解决发展中国家缺乏心理健康专业人员的问题.
- 探讨了一种新的自导数字干预,情绪适应训练 (TEA) 的可行性.
研究的目的:
- 评估TEA计划的可行性和有效性.
- 评估TEA对抑郁和焦虑症状的影响.
主要方法:
- 第一个阶段:来自11名精神卫生从业人员的反TEA可行性.
- 第二阶段:混合方法单臂研究,32名在线参与者在14天内完成7次会议.
- 通过问卷 (前,后,14天,30天后续) 和与10名参与者的半结构化访谈收集数据.
主要成果:
- 实践者对TEA的专业性 (8.91/10) 和适用性 (8.09/10) 进行了高度评价.
- 观察到抑郁和焦虑症状的显著减少,干预后30天持续的效应 (科恩d > 1).
- 主题分析确定了需要改进的关键领域:内容,交互和错误修复.
结论:
- 作为一个数字心理健康干预措施,TEA显示了初步的有效性.
- 该计划有可能解决迫切需要远程心理健康服务的需求,特别是在获取有限的地区.
- 调查结果支持使用数字工具来增强心理健康护理的提供.
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