Digital cognitive behavior therapy for insomnia improving sleep quality: a real-world study

作者：Sugai Liang, Hongjing Mao, Jingyun Yang, Wei Deng, Bo Cao, Zhenghe Yu, Lili Yang, You Xu, Nannan Hu, Wenjuan Liu, Andrew J. Greenshaw, Tao Li · 发表于：BMC Psychiatry · 年份：2022 · DOI：10.1186/s12888-022-04411-2 · 被引用次数：16 · 研究领域：Sleep and related disorders、Sleep and Wakefulness Research、Digital Mental Health Interventions

BACKGROUND: Digital cognitive behavior therapy for insomnia (dCBT-I) is an effective treatment in alleviating insomnia. This study examined the effect of dCBT-I for improving sleep quality in patients with insomnia complaints from a clinical population in a real-world setting. METHODS: The study included 6,002 patients aged 18 years and above with primary complaints of dissatisfying sleep from a sleep clinic in a psychiatric hospital from November 2016 to April 2021. Patients were diagnosed with insomnia, anxiety disorders, or anxiety comorbid with insomnia or depression according to ICD-10. A mobile app was developed for self-reported assessment and delivering dCBT-I interventions and treatment prescriptions to participants. The primary outcome was change in global sleep quality measured by the Pittsburgh Sleep Quality Index (PSQI). At 8- and 12-week follow-up, 509 patients were reassessed. Data were analyzed with non-parametric tests for repeated measures. RESULTS: Patients treated with dCBT-I monotherapy were younger, with a more frequent family history of insomnia compared to those with medication monotherapy and those with combined dCBT-I and medication therapy. Improvements of sleep quality from baseline to 8-week follow-up were significant in each treatment type. Compared to 8-week follow-up, PSQI scores at 12-week were significantly decreased in the depression group receiving combined therapy and in the anxiety group treated with dCBT-I monotherapy and with combined t...