Using cognitive behavioral therapy-based chatbots to alleviate symptoms of insomnia, depression, and anxiety: A randomized controlled trial

<b>Background:</b> Insomnia is common among psychiatric outpatients in Taiwan and often coexists with anxiety and depression. Early insomnia changes may predict long-term depression. Although CBT-I is effective, face-to-face therapy requires many resources. This study evaluated the effectiveness of a chatbot to enhance access to sleep training. <b>Methods:</b> This study recruited 80 patients from a psychosomatic outpatient clinic in Taiwan and randomly assigned them 1:1 to the intervention or control group. Due to withdrawals or incomplete assessments, 35 in the intervention group and 31 in the control group completed all procedures. The intervention group used a CBT-I chatbot for 4 weeks, while the control group received basic sleep education via a website. Sleep quality and mental health were assessed using the PSQI, BSRS-5, PHQ-9, BDI, and BAI. <b>Results:</b> The intervention group showed significant PSQI improvement (t (34) = 3.80, <i>p</i> < .001) and reduced BSRS-5, PHQ-9, BDI, and BAI scores (<i>p</i> < .05). The control group showed no significant changes. <b>Conclusions:</b> A CBT-I chatbot significantly enhances sleep and mental health, offering accessible, effective support with broad clinical potential.

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Publication Details

Journal
Health Informatics Journal
Published
2025-10-01
DOI
https://doi.org/10.1177/14604582251396428
Citations
1
Primary Topic
Sleep and related disorders
Type
article
Field-Weighted Citation Impact
2.12
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article

Using cognitive behavioral therapy-based chatbots to alleviate symptoms of insomnia, depression, and anxiety: A randomized controlled trial

Yen-Fen Lee, Li‐Chen Cheng, Huang‐Li Lin, Yi-Hang Chiu
1 citations
Health Informatics Journal
Sleep and related disorders
2.12
article

Using cognitive behavioral therapy-based chatbots to alleviate symptoms of insomnia, depression, and anxiety: A randomized controlled trial

Yen-Fen Lee, Li‐Chen Cheng, Huang‐Li Lin, Yi-Hang Chiu
article en
1 citations

Abstract

<b>Background:</b> Insomnia is common among psychiatric outpatients in Taiwan and often coexists with anxiety and depression. Early insomnia changes may predict long-term depression. Although CBT-I is effective, face-to-face therapy requires many resources. This study evaluated the effectiveness of a chatbot to enhance access to sleep training. <b>Methods:</b> This study recruited 80 patients from a psychosomatic outpatient clinic in Taiwan and randomly assigned them 1:1 to the intervention or control group. Due to withdrawals or incomplete assessments, 35 in the intervention group and 31 in the control group completed all procedures. The intervention group used a CBT-I chatbot for 4 weeks, while the control group received basic sleep education via a website. Sleep quality and mental health were assessed using the PSQI, BSRS-5, PHQ-9, BDI, and BAI. <b>Results:</b> The intervention group showed significant PSQI improvement (t (34) = 3.80, <i>p</i> < .001) and reduced BSRS-5, PHQ-9, BDI, and BAI scores (<i>p</i> < .05). The control group showed no significant changes. <b>Conclusions:</b> A CBT-I chatbot significantly enhances sleep and mental health, offering accessible, effective support with broad clinical potential.

Health Informatics JournalVol. 31(4)
National Taipei University of Technology (TW), Chang Gung University (TW), Chang Gung Memorial Hospital (TW), Wan Fang Hospital (TW), Taipei Medical University (TW)
Openalex Percentile: Top 10%
Sleep and related disorders
2.12
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Using cognitive behavioral therapy-based chatbots to alleviate symptoms of insomnia, depression, and anxiety: A randomized controlled trial — Yen-Fen Lee, Li‐Chen Cheng, et al. · Health Informatics Journal (2025) | TGRS Research Map | TGRS