Nurse-led Digital Cognitive Behavioral Therapy for Insomnia (dCBT-I) in University Students With Mild to Moderate Mental Health Problems
1 other identifier
interventional
100
1 country
1
Brief Summary
This study aims to evaluate the feasibility, acceptability, and potential effectiveness of a nurse-led digital cognitive behavioral therapy for insomnia (dCBT-I) via large language model based-chatbot among university students with mental health problems.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Sep 2026
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
July 13, 2026
CompletedFirst Posted
Study publicly available on registry
July 17, 2026
CompletedStudy Start
First participant enrolled
September 1, 2026
ExpectedPrimary Completion
Last participant's last visit for primary outcome
September 30, 2027
Study Completion
Last participant's last visit for all outcomes
October 31, 2027
July 24, 2026
July 1, 2026
1.1 years
July 13, 2026
July 23, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Self-reported insomnia severity
Assessed using the Insomnia Severity Index (ISI). The ISI is a 7-item self-report instrument that evaluates both nocturnal and daytime symptoms of insomnia, with total scores ranging from 0 to 28, higher scores indicate greater insomnia severity.
6-month follow-up
Secondary Outcomes (6)
Health-related quality of life
3- and 6-month follow-ups
Sleep-related quality of life
3- and 6-month follow-ups
Depressive symptoms
3- and 6-month follow-ups
Anxiety symptoms
3- and 6-month follow-ups
Sleep effort
3- and 6-month follow-ups
- +1 more secondary outcomes
Other Outcomes (5)
Recruitment rate
Baseline
Retention rate
3- and 6-month follow-ups
Engagement rate of the interventions
3- and 6-month follow-ups
- +2 more other outcomes
Study Arms (2)
Intervention group
EXPERIMENTALControl group
ACTIVE COMPARATORInterventions
At baseline, both groups will receive a 1-on-1 brief sleep health advice developed using guidelines by U.S. Centers for Diseases Control and Prevention and a booklet providing behavioral guidance on lifestyle and environmental factors related to sleep and insomnia.
Participants in the intervention group will also receive cognitive behavioral therapy for insomnia (CBT-I) delivered via an LLM-based chatbot through WhatsApp over a 10-week period. The intervention is fully automated and available 24/7, with underlying algorithms enabling the delivery of information, therapeutic support, and advice in a personalized and adaptive manner, informed by participants' ongoing inputs and interaction patterns. The intervention will be structured into 20 chatbot-delivered instant messaging (2 pieces per week). The therapeutic content is adapted from established CBT-I manuals and led by research nurse, incorporating evidence-based behavioral, cognitive, and educational components. Behavioral strategies include sleep restriction, stimulus control, and relaxation techniques. Cognitive components comprise paradoxical intention, cognitive restructuring, mindfulness-based techniques, positive imagery, and strategies for "putting the day to rest." Educational compone
Following randomization, participants in the intervention group will complete a 2-week chatbot-based daily sleep diary. Each morning (e.g., 8:00 am), participants will be prompted via Whatsapp message delivered by chatbot to report key sleep parameters from the previous night, including bedtime, wake time, sleep onset latency, number and duration of nocturnal awakenings, total sleep time, and perceived sleep quality. The collected sleep diary data will be processed by the chatbot to generate tailored and personalized feedback, supporting individualized sleep recommendations and behavioral adjustments. At the initiation of the intervention, participants will also complete a brief baseline questionnaire to establish personalized treatment goals related to sleep improvement. Throughout the intervention period, participants will have continuous access to chatbot-delivered support, including adaptive guidance based on diary inputs, reinforcement of recommended sleep strategies, and progress
Eligibility Criteria
You may qualify if:
- Students aged ≥ 18 years from 22 local higher education institutions (University or Colleges) listed in Education Bureau.
- Screening score indicating mild to moderate anxiety or depression, defined as a GAD-7 score of 5-14 and/or a PHQ-9 score of 5-14 at baseline.
- Screened positive for insomnia symptoms using the Sleep Condition Indicator (SCI) and meeting DSM-5 diagnostic criteria for insomnia disorder.
- Reporting a self-reported sleep efficiency of less than 85% over the past month.
- Able to communicate in Chinese.
You may not qualify if:
- Participants who self-reported diagnosis of epilepsy, schizophrenia, or bipolar disorder
- Participants who self-reported current suicidal ideation with intent or a suicide attempt within the past 2 months
- Participants who self-reported current receipt of psychological or behavioral treatment for insomnia from a health professional
- Participants who self-reported participation in an online or digital insomnia treatment programme at the time of enrolment.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
School of Public Health, The University of Hong Kong, 18/F, Metro South Tower 1, 39 Wong Chuk Hang Road, Wong Chuk Hang, Hong Kong
Hong Kong, Hong Kong
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Shengzhi Zhao
The University of Hong Kong
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Masking Details
- Blinding of the participants and treatment providers will not be possible because the behavior nature of the intervention, but the outcome assessors and statistical analysts will be blinded to group allocation.
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Research Assistant Professor
Study Record Dates
First Submitted
July 13, 2026
First Posted
July 17, 2026
Study Start (Estimated)
September 1, 2026
Primary Completion (Estimated)
September 30, 2027
Study Completion (Estimated)
October 31, 2027
Last Updated
July 24, 2026
Record last verified: 2026-07
Data Sharing
- IPD Sharing
- Will not share