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在 COVID-19 大流行期间,开发、坚持和评估数字简短疗法治疗失眠症(dBTI)的平台。

The platform development, adherence and efficacy to a digital Brief therapy for insomnia (dBTI) during the COVID-19 pandemic.

机构信息

Department of Psychiatry, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China; Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangzhou, People's Republic of China.

Adai Technology (Beijing) Co., Ltd, Beijing, People's Republic of China.

出版信息

Methods. 2022 Sep;205:39-45. doi: 10.1016/j.ymeth.2022.04.016. Epub 2022 May 5.

DOI:10.1016/j.ymeth.2022.04.016
PMID:35526723
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9070004/
Abstract

Brief therapy for insomnia (BTI) is a short-term cognitive behavioral therapy for insomnia. At present, there is no study combining BTI with digital technology. However, in the context of the outbreak of coronavirus disease 2019 (COVID-19), patients with acute insomnia may need an online treatment which can quickly improve insomnia symptoms. Our team built a digital BTI (dBTI) platform based on the WeChat mini program. This research provides a framework design and a course design of dBTI, and evaluates the system via recruiting participants suffering from acute insomnia in pandemic. What's more, it explores patients' adherence, the efficiency of the system and their relationship. As the result demonstrates, 68% of participants have completed more than half of the course with medium to high adherence. Gender, pre-sleep arousal scale (PSAS) somatic score and insomnia severity index (ISI) score have affected participants' adherence, and higher adherence has led to better improvement in the severity of insomnia and somatic pre-sleep arousal. It is proved that the platform we built is effective, which not only offers an entry point for the study of how to set up a dBTI platform, but also provides theoretical basis for its clinical application.

摘要

简短的失眠治疗(BTI)是一种短期的失眠认知行为疗法。目前,尚无将 BTI 与数字技术相结合的研究。然而,在 2019 年冠状病毒病(COVID-19)爆发的背景下,急性失眠患者可能需要一种能够快速改善失眠症状的在线治疗方法。我们的团队基于微信小程序构建了一个数字 BTI(dBTI)平台。本研究提供了 dBTI 的框架设计和课程设计,并通过招募在大流行中患有急性失眠的参与者来评估该系统。此外,还探讨了患者的依从性、系统的效率及其关系。结果表明,68%的参与者完成了一半以上的课程,具有中高度的依从性。性别、睡前唤醒量表(PSAS)躯体评分和失眠严重程度指数(ISI)评分影响了参与者的依从性,更高的依从性导致失眠严重程度和躯体性睡前唤醒的改善更好。证明我们构建的平台是有效的,它不仅为研究如何建立 dBTI 平台提供了切入点,而且为其临床应用提供了理论依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/409c/9070004/16e048cfb62f/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/409c/9070004/55d251f62264/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/409c/9070004/16e048cfb62f/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/409c/9070004/55d251f62264/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/409c/9070004/16e048cfb62f/gr2_lrg.jpg

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