对偏执症的数字心理健康干预 (STOP应用):对用户接受度的定性研究
Laura Eid1, Alexandra Kenny2, Rayan Taher1
1Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, London, United Kingdom.
JMIR human factors
|August 7, 2025
概括
发现STOP智能手机应用程序是偏执症的认知偏见修改工具,被用户接受并积极接受. 这支持其代开发,以准解释偏见.
科学领域:
- 心理学 心理学 心理学
- 数字健康数字健康
- 临床干预 临床干预
背景情况:
- 解释认知偏差修改 (CBM-I) 针对负面偏差,特别是在焦虑症中.
- 解释偏见在维持偏执症方面发挥着作用.
- 成功治疗偏执症 (STOP) 应用程序是针对偏执症开发的CBM-I工具.
研究的目的:
- 让服务用户参与STOP应用程序的设计,开发和测试.
- 评估在偏执症患者中STOP应用程序的可接受性.
- 将STOP应用与数字健康技术 (DHT) 的NICE标准进行评估.
主要方法:
- 12名患有轻度至中度偏执症的参与者完成了每周6次STOP会议.
- 通过半结构面试收集了定性反.
- 采访被分析使用框架分析,结合演和归纳方法.
主要成果:
- 六个关键主题出现了:独立使用,数字与传统方法,用户反应,对认知和福祉的影响,设计/可用性和干预的相关性.
- STOP应用程序被广泛接受,并受到大多数参与者的积极欢迎.
- 结果与NICE DHT标准保持一致,用户参与开发和测试.
结论:
- STOP应用程序是一个广泛接受的数字干预,用于患有偏执症的个人.
- 用户参与设计和测试过程有助于积极的接待和满意度.
- 结果将为STOP应用程序的持续代开发提供信息,以准解释偏差.
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