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Optimisation and Evaluation of a Just-in-time Adaptive Intervention (JITAI) for Sleep and Circadian Problems (Phase III)
The JITAI approach holds considerable promise for addressing current challenges in mHealth, including the limitations in supporting real-time monitoring, timely intervention, and poor adherence. However, research on JITAIs in the field of behavioural sleep medicine is still in its infancy. Leveraging existing pilot data, this project will entail a micro-randomised trial (MRT) designed to optimise the JITAI components and a randomised controlled trial (RCT) to examine the efficacy of the optimised JITAI on sleep and circadian functions. Specifically, research has indicated that contextually tailored suggestions are more effective in promoting health behaviors compared to generic messages.This study will include personalised, in-the-moment actionable suggestions based on the Transdiagnostic Intervention for Sleep and Circadian Dysfunction (TranS-C) to evaluate their efficacy in contrast to generic messages and no notifications. The proposed project will have three phases. Phase I will be the technological advancement of the JITAI app, GoodShleep. Based on research findings, additional intervention engagement strategies will be added to improve adherence, including personalisation (i.e., personalised feedback and intervention content), gamification (i.e., goal setting and rewards for a completed mission), and reminders (i.e., push notifications). The refined app will be beta-tested by the research team and five individuals experiencing sleep or circadian problems to ensure the app's functionality and usability. Issues that may arise during Phase I will be resolved prior to commencing Phase II. Phase II will be an MRT aiming to optimise the advanced GoodShleep alongside wearable devices and ecological momentary assessment (EMA). A total of 77 participants with sleep or circadian problems will participate in the JITAI through the advanced GoodShleep, which will comprise (1) an 8-week, smartphone-based JITAI on TranS-C; (2) EMA prompted by push notifications to detect s
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