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在应用程序中使用低强度认知行为疗法技术来支持担忧管理的使用和参与:日志数据的内容分析
Paul Farrand1,2, Patrick J Raue3, Earlise Ward4
1Clinical Education, Development and Research, Faculty of Health and Life Sciences, University of Exeter, Exeter, United Kingdom.
JMIR mHealth and uHealth
|November 29, 2023
概括
通过结合低强度认知行为疗法 (LICBT) 技术,Iona Mind Well-being (IMWW) 应用程序有效地减少了焦虑和低情绪. 参与特定的LICBT模块,如"担心时间"和"解决问题"与症状改善相关.
科学领域:
- 数字心理健康干预数字心理健康干预
- 认知行为疗法 (CBT) 应用.
- 焦虑障碍管理 焦虑障碍管理
背景情况:
- 低强度认知行为疗法 (LICBT) 在英格兰用于管理泛性焦虑症 (GAD) 并改善幸福感.
- 由于接入障碍,LICBT的可扩展性受到限制.
- 焦虑管理的Iona Mind Wellbeing应用程序 (IMWW) 将LICBT技术与对话代理集成在一起,以解决这些局限性.
研究的目的:
- 为了评估用户对IMWW移动应用程序的参与度,以进行担忧管理.
- 在应用程序中分析与特定LICBT技术的相互作用.
- 评估应用程序在减少焦虑症状方面的潜力.
主要方法:
- 分析了完成最低应用模块 (担忧时间,问题解决) 的"参与"用户的日志数据.
- 配对样本t测试以评估IMWW对焦虑和焦虑的影响.
- 多变量线性回归以确定技术完成对症状减轻的影响.
主要成果:
- 通过核心LICBT技术 (担心时间,解决问题) 观察到高参与度;对话代理有效地支持用户.
- 显著减少焦虑 (t=5.5,P<.001) 和低情绪 (t=2.3,P=.03) 的记录.
- 在应用程序中与"担心时间"和"解决问题"的互动有显著的预测,大致减少了通用焦虑障碍-7分数.
结论:
- 用户在IMWW中成功地与LICBT技术进行了交互,这表明对过度担忧管理的潜在有效性.
- 对结果测量和反思的参与度较低,表明需要改进的领域.
- 剂量-反应关系突出了日志数据在应用程序开发和增强用户参与度的价值,以获得更大的好处.
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