Optimisation and Evaluation of a Just-in-time Adaptive Intervention (JITAI) for Sleep and Circadian Problems (Phase I and II)

Summary

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 sleep-wake regularity and mood status; and (3) 24-hour real-time wearables assessing sleep and activity. Participants will be randomly assigned to receive contextually personalised suggestions, generic messages, and no notifications based on our micro-randomised algorithm.

Phase III will involve an RCT to evaluate the optimised JITAI app, GoodShleep + in both short- (immediately after intervention) and medium-term (12 weeks after intervention). Eighty participants with sleep and circadian problems will be randomised into the optimised JITAI (GoodShleep+) and the care-as-usual (CAU) group in a 1:1 allocation ratio. The JITAI (GoodShleep) will be adjusted and finalised based on the findings from Phase II to transform into the optimised JITAI (GoodShleep+). The GoodShleep+ group will receive an 8-week, smartphone-based GoodShleep+ based on TranS-C. The CAU group will not receive the GoodShleep+ but will have access to usual care based on their needs and preferences. The CAU group will receive GoodShleep+ after completing all the assessments. Major assessments will be conducted at baseline, immediate post-intervention and 12-week follow-up. Participants' sleep conditions will be evaluated using the brief consensus sleep diary and wearables. Activity levels will be measured using wearables at multiple time points. Mood status will be assessed using selected items from PANAS-SF. Participants' weekly sleep and circadian functions will be monitored using Patient-Reported Outcomes Measurement Information System (PROMIS) Sleep Disturbance (SD) and Sleep-Related Impairment (SRI). Other outcomes will include sleep quality, anxiety and depression symptoms, sleep-related cognitions, overall daytime sleepiness, fatigue, quality of life and functional impairment. Intervention acceptability and intervention adherence will also be assessed.

The current registration is only for Phase I and II of the current research project.

Conditions

• Sleep and Circadian Problems

Interventions

BEHAVIORAL

Just-in-time adaptive intervention (JITAI) based on TranS-C (GoodShleep)

GoodShleep will comprise (1) an 8-week, smartphone-based JITAI on TranS-C; (2) EMA prompted by push notifications to detect sleep-wake regularity and mood status; and (3) 24-hour real-time wearables assessing sleep and activity. The TranS-C materials will be presented in text format supplemented with diagrams, video/audio clips, quizzes, and culturally relevant examples. Across the 8 sessions, 4 cross-cutting modules will be introduced, including case formulation, sleep and circadian education, motivational interviewing, and goal setting. In addition, the participants will receive 4 core modules addressing sleep-wake regularity, daytime functioning, correcting beliefs, and maintaining behavioral change. Additionally, 5 selected optional modules will be delivered based on the participant's sleep-wake features and presentations addressing sleep efficiency, excessive time in bed, delayed/advanced sleep phase, sleep-related worry, and nightmares.

Sponsors & Collaborators

• Chinese University of Hong Kong

  lead OTHER

Study Design

Allocation

NA

Purpose

TREATMENT

Masking

NONE

Model

SINGLE_GROUP

Eligibility

Min Age

18 Years

Max Age

65 Years

Sex

ALL

Healthy Volunteers

No

Timeline & Regulatory

Start

2026-01-01

Primary Completion

2028-02-29

Completion

2029-02-28

Countries

• Hong Kong

Study Locations