Prevention of Insomnia Using a Stepped Care Model in Adults
Recruiting now · Not applicable
Conditions studied: Sleep Disturbance
In brief
Insomnia is one of the most common sleep disorders and affects approximately 10 - 40% of the population across different age groups in Hong Kong. Our previous study has shown that insomnia can be prevented through a brief cognitive behavioral prevention program in adolescents. However, there is very limited data in the adult population. Current study aims to evaluate a digital sleep-focused platform which consists of different intervention plan according to user's insomnia severity level and employed a stepped care model. Thus, the effectiveness of the stepped care model will be evaluated in a real world setting using stepped wedge cluster randomized controlled design to evaluate potential preventive effect on adults who only with mild insomnia symptoms. The program will be rolled out to different districts in Hong Kong sequentially in 18 districts over 4 steps with a equally spaced time periods. The primary aim of this study is to evaluate the effects of a stepped-care CBT-I model in improving sleep and prevent the incidence of insomnia among participants with mild insomnia.
Key facts
- Study ID
- NCT06156293
- Run by
- Chinese University of Hong Kong
- People needed
- 1016
- Starts
- 2023-12-01
- Expected to finish
- 2026-12-31
- Last updated by the study team
- 2026-03-23
Who can join
Age: 18 and older, up to 70. Sex: any. Healthy volunteers: accepted.
You may qualify if…
- Chinese adults aged 18-70 years old,
- The score of Insomnia Severity Index < 10.
You may not qualify if…
- present with psychotic disorders such as bipolar disorder and schizophrenia,
- present with severe depression or suicidal ideation,
- present with neurodegenerative diseases that prevent participant from completing the intervention (e.g., dementia and Parkinson's disease).
- unable to provide consent
Where it is running
- Department of Psychiatry, the Chinese University of Hong Kong — Hong Kong, China (enrolling)
Full record on ClinicalTrials.gov
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