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Meta-Analysis of the Effectiveness and Safety of Shugan Jieyu Capsules for the Treatment of Insomnia
Published on: February 17, 2023
Systematic review and meta-analysis on fully automated digital cognitive behavioral therapy for insomnia
Ji Woo Hwang1, Ga Eun Lee2, Jae Hyun Woo1,2
1Department of Regulatory Science for Medical Device, Dongguk University, Seoul, Republic of Korea.
Fully automated digital Cognitive Behavioral Therapy for Insomnia (FA dCBT-I) effectively reduces insomnia severity. While accessible, it
Area of Science:
- Sleep Medicine
- Digital Health
- Psychiatry
Background:
- Insomnia significantly impacts daily life and health.
- Cognitive Behavioral Therapy for Insomnia (CBT-I) is effective but faces accessibility barriers.
- Fully automated digital CBT-I (FA dCBT-I) offers a scalable solution.
Purpose of the Study:
- To systematically review and meta-analyze the effectiveness of FA dCBT-I.
- To compare FA dCBT-I with various control conditions and therapist-assisted CBT-I.
- To identify factors influencing FA dCBT-I outcomes.
Main Methods:
- Systematic review and meta-analysis of 29 randomized controlled trials (RCTs).
- Inclusion of 9475 participants evaluating FA dCBT-I.
- Meta-regression analysis to explore outcome moderators.
Main Results:
- FA dCBT-I showed moderate to large effects on reducing insomnia severity compared to controls.
- FA dCBT-I was less effective than therapist-assisted CBT-I.
- Control group type moderated outcomes, but completion rate did not significantly impact results.
Conclusions:
- FA dCBT-I is a promising, accessible intervention for insomnia management.
- Treatment adherence is critical for FA dCBT-I effectiveness.
- A hybrid model integrating therapist support may offer superior outcomes.
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