在基于智能手机应用程序的认知行为疗法中使用辅导来治疗身体形障碍
Emily E Bernstein1,2, Jennifer L Greenberg1,2, Hilary Weingarden1,2
1Massachusetts General Hospital, United States of America.
Internet interventions
|April 25, 2024
概括
对身体形障碍 (BDD) 的数字心理健康干预表明,大多数患者使用最少的教练消息,主要是为了参与. 个性化辅导可以改善执法,并减少BDD (CBT-BDD) 认知行为疗法中学风险.
科学领域:
- 数字心理健康数字心理健康
- 临床心理学 临床心理学
- 行为科学是一种行为科学.
背景情况:
- 身体形障碍 (BDD) 是一种严重的,治疗不足的疾病.
- 数字心理健康为基于证据的治疗提供了一个可扩展的解决方案,例如BDD的认知行为疗法 (CBT-BDD).
- 教练指导对于数字干预的有效性至关重要,但患者的使用模式及其与结果的联系不明.
研究的目的:
- 研究BDD患者如何在数字CBT-BDD干预中利用辅导.
- 识别教练沟通的不同模式及其与临床结果的关系.
- 探索教练使用的基线预测因素,并为个性化教练策略提供信息.
主要方法:
- 分析了77名成年人和教练在12周的智能手机CBT-BDD计划中交换的400条异步信息.
- 隐性资料分析以分类信息频率 (治疗中期的峰值,双模早期/晚期,低/无通信) 和内容 (参与,适合,知识,各种).
- 评估沟通概况,基线特征,治疗坚持和学率之间的关系.
主要成果:
- 出现了三个不同的通信频率概况:峰值治疗中期 (16.88%),双模早期/晚期 (10.39%) 和低/无通信 (72.73%).
- 确定了四个内容配置文件:主要是参与 (51.95%),适合 (15.58%),知识 (15.58%),以及各种/没有消息 (16.88%).
- 年长的参与者表现出更高的沟通频率;治疗中期的高峰用户有更好的坚持. 专注于参与的用户的学率较低,而没有接触的用户的学率更高.
结论:
- 大多数患者开始的接触是最小的,参与是主要的沟通目标.
- 老年人可能会从更多的初始支持中受益. 参与驱动的辅导与减少学率有关.
- 结果支持个性化,数据驱动的辅导协议,以有效地分配BDD的数字心理健康资源.
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