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

Hasan, Faizul and Tu, Yu-Kang and Yang, Chien-Ming and James Gordon, Christopher and Wu, Dean and Lee, Hsin-Chien and Yuliana, Lia Taurussia and Herawati, Lucky and Chen, Ting-Jhen and Chiu, Hsiao-Yean (2021) Comparative efficacy of digital cognitive behavioral therapy for insomnia: A systematic review and network meta-analysis. Comparative efficacy of digital cognitive behavioral therapy for insomnia: A systematic review and network meta-analysis, 61. pp. 1-11. ISSN 1087-0792

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Abstract

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]: 18.98e27.39 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%e12.65%). The surface under the cumulative ranking curve indicates that webbased 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.

Item Type:	Article
Subjects:	H Social Sciences > H Social Sciences (General)
Divisions:	Poltekkes Kemenkes Yogyakarta
Depositing User:	Prof Lucky Herawati
Date Deposited:	11 Jan 2022 02:49
Last Modified:	11 Jan 2022 02:49
URI:	http://eprints.poltekkesjogja.ac.id/id/eprint/7874

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