减少症状和参与认知行为手机应用程序:对用户分析进行研究,以确定预后指标
Danilo Moggia1, Wolfgang Lutz1, Nikolaos Kazantzis2
1University of Trier.
Behavior therapy
|February 28, 2024
概括
这项研究确定了心理健康应用程序中的用户配置文件,发现参与度较高的年轻用户表现出改善. 然而,老年人参与度较低,这表明需要为这个人口群体改进应用程序.
科学领域:
- 数字心理健康数字心理健康
- 心理干预 心理干预
- 用户参与分析分析.
背景情况:
- 认知行为心理健康应用程序提供可访问的支持.
- 了解用户配置文件和参与度对于优化数字干预至关重要.
- 潜伏过渡分析可以揭示基于应用程序的心理健康支持中的用户轨迹.
研究的目的:
- 为了调查一般人群中潜在的用户配置文件,认知行为心理健康应用程序.
- 检查基线用户特征作为这些配置文件的预测因素.
- 评估应用程序参与在用户随时间的转变中的作用.
主要方法:
- 541名用户在基线和30天完成了患者健康问卷-9和一般焦虑障碍-7.
- 随机拦截潜伏过渡分析确定了用户配置文件和过渡模式.
- 年龄,情绪自我意识尺度修订 (ESAS-R) 和家庭作业评分尺度移动应用程序 (HRS-MA) 被用作预测因素.
主要成果:
- 一个3类解决方案出现,反映症状严重程度 (轻度至中度严重).
- 更高的年龄和ESAS-R预测了较低的初始痛苦.
- 更大的参与度 (HRS-MA) 预测了改善,特别是对于年轻的,更有症状的用户;老年用户参与度较低.
结论:
- 数字干预对于患有轻度至中度精神健康问题的年轻人来说是很重要的.
- 应用程序参与是改善治疗的关键因素.
- 未来的研究应该专注于增强老年人数字心理健康工具.
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