Comparative efficacy of digital cognitive behavioral therapy for insomnia: A systematic review and network meta-analysis

Faizul Hasan, Yu-Kang Tu, Chien-Ming Yang, Christopher Gordon, Dean Wu, Hsin-Chien Lee, Lia Taurussia Yuliana, Lucky Herawati, Ting-Jhen Chen, Hsiao-Yean Chiu

研究成果: 雜誌貢獻回顧型文獻同行評審

13 引文 斯高帕斯(Scopus)


Summary The comparative efficacy of various approaches of digital cognitive behavioral therapy for insomnia (CBTi) is still unclear. This network meta-analysis explored the comparative efficacy of digital CBTi approaches in adults with insomnia. Four electronic databases were searched from inception to June 27, 2020. Primary outcomes were self-reported total sleep time (TST), sleep onset latency (SOL), wake after sleep onset (WASO), sleep efficiency (SE), and insomnia symptoms; these were measured using sleep diaries or valid questionnaires. A random-effects network meta-analysis in a frequentist framework was used. Fifty-four randomized controlled trials comprising 11,815 participants were included. Compared with usual care, web-based CBTi with a therapist demonstrated significantly longer TST (mean difference [MD]: 23.19 min, 95% confidence interval [CI]: 18.98 to 27.39 min), shorter SOL (MD: −18.76 min, 95% CI −24.20 to –13.31 min), lower WASO (MD: −31.40 min, 95% CI: −36.26 to −26.55 min), and greater SE (MD: 10.37%, 95% CI: 8.08% to 12.65%). The surface under the cumulative ranking curve indicates that web-based CBTi with therapists is most likely to be ranked the highest among all treatments, and thus, this network meta-analysis suggests that such a treatment is the optimal intervention for improving sleep duration and SE as well as the reductions in SOL and WASO. PROSPERO registration number CRD42020171134.
期刊Sleep Medicine Reviews
出版狀態已發佈 - 2月 2022

ASJC Scopus subject areas

  • 肺和呼吸系統醫學
  • 神經內科
  • 神經病學(臨床)
  • 生理學(醫學)


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