心理健康应用程序随机临床试验的方法质量:系统性审查和纵向分析
Jake Linardon1, Qiang Xie2,3,4, Caroline Swords2,3
1SEED Lifespan Strategic Research Centre, School of Psychology, Faculty of Health, Deakin University, Geelong, Victoria, Australia jake.linardon@deakin.edu.au sbgoldberg@wisc.edu.
BMJ mental health
|April 12, 2025
概括
对于抑郁和焦虑的心理健康应用程序试验的方法质量显示,随着时间的推移,改善的程度很小. 对于这些数字健康工具的可靠证据,需要更高的标准.
科学领域:
- 数字健康数字健康
- 心理健康研究 心理健康研究
- 临床试验 临床试验
背景情况:
- 心理健康应用程序越来越多地用于抑郁和焦虑.
- 评估这些应用程序的临床试验的方法严谨性至关重要.
研究的目的:
- 调查心理健康应用的随机对照试验 (RCT) 的方法质量.
- 为了确定这些试验的质量是否随着时间的推移而有所改善.
主要方法:
- 包括176个针对抑郁症和焦虑症 (2011-2023) 的心理健康应用的RCT.
- 编码了20个质量指标,包括偏见风险,参与者多样性,研究设计和应用程序可访问性.
- 使用回归模型来评估随时间变化的质量指标.
主要成果:
- 发现了常见的方法问题,其中不到20%是复制试验,不到35%报告了不良事件.
- 预先注册和报告不良事件的显著增加.
- 发现报告的与iOS/Android兼容性下降.
结论:
- 对于心理健康应用试验的方法质量显著改善的证据是微不足道的.
- 强调需要在数字心理健康研究中加强方法标准.
- 确保数字心理健康工具的证据可靠性和普遍性至关重要.
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