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Clinical Trial Summary

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.


Clinical Trial Description

This interventional study will be a multicenter, assessor-blinded, pragmatic stepped-wedge cluster randomized controlled trial. A total of 18 districts will be included in the study and the randomization will be carried out based on the districts. The stepped-care CBT-I intervention will be sequentially rolled out to the 4-6 districts per step according to a computer-generated random number while the remaining clusters will continue to stay unexposed to the CBT-I intervention over the control period. Therefore after 4-step exposure, all clusters will receive the stepped-care CBT-I intervention. A total of 3 follow-up assessments (post intervention, 3-month and 12-month follow up) will be conducted to assess the effectiveness and long-term effects of the stepped care model. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT06156293
Study type Interventional
Source Chinese University of Hong Kong
Contact Rachel Ngan Yin Chan
Phone 39710550
Email rachel.chan@cuhk.edu.hk
Status Recruiting
Phase N/A
Start date December 1, 2023
Completion date June 1, 2026

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