Accepted for/Published in: JMIR Research Protocols
Date Submitted: Jan 15, 2023
Open Peer Review Period: Jan 15, 2023 - Mar 12, 2023
Date Accepted: Apr 12, 2023
(closed for review but you can still tweet)
Assessing a Sleep Interviewing chatbot to improve subjective and objective sleep: Protocol for an Observational Feasibility Study
ABSTRACT
Background:
Sleep disorders are common among the ageing population and people with neurodegenerative diseases. Sleep disorders have a strong bidirectional relationship with neurodegenerative diseases, where they accelerate and worsen one another. Although one-to-one individual cognitive behavioural interventions (conducted in-person or online) have shown promise for significant improvements in sleep efficiency among adults, many may experience difficulties accessing interventions with sleep specialists, psychiatrists, or psychologists. Therefore, delivering sleep intervention through an automated chatbot platform may be an effective strategy to increase the accessibility and reach of sleep disorder intervention among the ageing population and people with neurodegenerative diseases.
Objective:
This project aims to: 1) Determine the feasibility and usability of an automated chatbot (named MotivSleep) that conducts sleep interviews to encourage the ageing population to report behaviours that may affect their sleep, followed by providing personalised recommendations for better sleep based on participants’ self-reported behaviours; 2) Assess the self-reported sleep assessment changes before, during, and after using our automated sleep disturbance intervention chatbot; 3) Assess the changes in objective sleep assessment recorded by a sleep tracking device before, during, and after using the automated chatbot MotivSleep.
Methods:
We will recruit 30 older adult participants from West London for this pilot study. Each participant will have a sleep analyzer installed under their mattress. This contactless sleep monitoring device passively records movements, heart, and breathing rates while participants are in bed. In addition, each participant will use our proposed chatbot MotivSleep, accessible on WhatsApp, to describe their sleep and behaviours related to their sleep and receive personalised recommendations for better sleep tailored to their specific reasons for disrupted sleep. We will analyse questionnaire responses before and after the study to assess their perception of our proposed chatbot; questionnaire responses before, during, and after the study to assess their subjective sleep quality changes; and sleep parameters recorded by the sleep analyzer throughout the study to assess their objective sleep quality changes.
Results:
Recruitment will begin in May 2023 through UK Dementia Research Institute (UKDRI) Care Research and Technology Centre (CRT) organised community outreach. Data collection will run from May 2023 until December 2023. We hypothesise that participants will perceive our proposed chatbot as intelligent and trustworthy; we also hypothesise that our proposed chatbot can help improve participants’ subjective and objective sleep assessment throughout the study.
Conclusions:
The MotivSleep automated chatbot has the potential to provide additional care to older adults who wish to improve their sleep in more accessible and less costly ways than conventional face-to-face therapy. Clinical Trial: N/A
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