计算机辅助认知行为疗法和用于抑郁和焦虑的移动应用:为临床实践提供基于证据的数字工具
Lavanya Rajeshkumar1, Matthew Mishkind1, Jeremy J Coleman2
1Department of Psychiatry, University of Colorado School of Medicine, Aurora, CO.
Journal of psychiatric practice
|December 10, 2024
概括
计算机辅助认知行为疗法 (CCBT) 在临床医生为抑郁症和焦虑症提供支持时显示出有效性. 由于证据有限和安全问题,移动心理健康应用程序需要谨慎使用.
科学领域:
- 数字心理健康数字心理健康
- 精神病学是一个精神病学.
- 卫生技术 卫生技术 卫生技术
背景情况:
- 传统的心理健康保健面临诸如提供者短缺等障碍.
- 基于技术的服务旨在改善心理健康治疗的获取,效率和便利性.
- 计算机辅助认知行为疗法 (CCBT) 和移动心理健康应用程序是新兴的解决方案.
研究的目的:
- 审查关于CCBT和抑郁和焦虑的移动心理健康应用程序的研究.
- 评估这些数字工具在提供或增强治疗方面的有效性.
- 评估患者和医疗服务提供者的使用情况,并为临床使用提供建议.
主要方法:
- 对CCBT和移动心理健康应用的研究进行系统审查.
- 评估研究结果的治疗疗效,患者/提供者吸收和安全问题.
- 分析随机对照试验和其他研究方法的证据.
主要成果:
- 当CCBT得到临床医生的支持时,它表现出很强的疗效;作为独立治疗,效果不那么好.
- 目前的CCBT程序缺乏先进的功能,例如用于患者沟通的AI.
- 许多针对抑郁症/焦虑症的移动健康应用程序缺乏可靠的有效性数据,保留率低,并引发安全问题.
结论:
- CCBT和心理健康应用程序有可能提高心理健康治疗的交付.
- 强有力的证据支持CCBT的有效性,而移动应用程序研究较不发达.
- 提供了临床使用的建议,强调数字心理健康工具的优点和缺点.
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