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Treating depression with a smartphone-delivered self-help cognitive behavioral therapy for insomnia: study protocol
Victoria Ka-Ying Hui1, Christy Yim-Fan Wong1, Eric Ka-Yiu Ma1
1Department of Psychology, The University of Hong Kong, Pokfulam Road, Hong Kong SAR, Hong Kong.
Trials
|October 10, 2020
Summary
Smartphone-delivered cognitive behavioral therapy for insomnia (CBT-I) shows promise for treating depression. This study evaluated a self-help app, proACT-S, for major depression and insomnia in Hong Kong Chinese adults.
Area of Science:
- Mental Health
- Digital Therapeutics
- Sleep Medicine
Background:
- Major depression and insomnia are significant public health issues.
- Cognitive Behavioral Therapy for Insomnia (CBT-I) is effective but faces accessibility challenges.
- Smartphone-based CBT-I offers a potential solution to overcome traditional treatment barriers.
Purpose of the Study:
- To evaluate the efficacy of a self-help smartphone-based CBT-I (proACT-S) for individuals with major depression and insomnia.
- To compare the smartphone CBT-I intervention against a waitlist control group.
- To assess changes in sleep quality, insomnia severity, and depression severity.
Main Methods:
- A two-arm parallel randomized controlled trial involving 285 Hong Kong Chinese adults (aged 17+) with major depression and insomnia.
- Participants were randomized 1:1 to receive immediate smartphone CBT-I (proACT-S) or a waitlist control.
- Primary outcomes included changes in sleep quality, insomnia severity, and depression severity, measured at baseline, post-intervention, and 6-week follow-up.
Main Results:
- The study protocol was designed to examine the efficacy of the proACT-S intervention.
- Recruitment for the trial has been completed.
- Analysis will utilize multilevel linear mixed models based on the intention-to-treat principle.
Conclusions:
- Smartphone-based CBT-I (proACT-S) is expected to be an effective brief, self-help treatment for comorbid depression and insomnia.
- If proven effective, proACT-S could serve as a community-based early intervention.
- This approach may help reduce the burden on public healthcare systems.
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