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@article{Su:2023:10.2196/45752,
author = {Su, T and Calvo, RA and Jouaiti, M and Daniels, S and Kirby, P and Dijk, D-J and Della, Monica C and Vaidyanathan, R},
doi = {10.2196/45752},
journal = {JMIR Research Protocols},
pages = {1--10},
title = {Assessing a sleep interviewing chatbot to improve subjective and objective sleep: protocol for an observational feasibility study},
url = {http://dx.doi.org/10.2196/45752},
volume = {12},
year = {2023}
}
TY - JOUR
AB - BACKGROUND: Sleep disorders are common among the aging 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 behavioral interventions (conducted in-person or on the internet) 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 aging population and people with neurodegenerative diseases. OBJECTIVE: This work aims to (1) determine the feasibility and usability of an automated chatbot (named MotivSleep) that conducts sleep interviews to encourage the aging population to report behaviors that may affect their sleep, followed by providing personalized recommendations for better sleep based on participants' self-reported behaviors; (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 rate, and breathing rate while participants are in bed. In addition, each participant will use our proposed chatbot MotivSleep, accessible on WhatsApp, to describe their sleep and behaviors related to their sleep and receive personalized recommendations for better sleep tailored to their specific reasons for disrup
AU - Su,T
AU - Calvo,RA
AU - Jouaiti,M
AU - Daniels,S
AU - Kirby,P
AU - Dijk,D-J
AU - Della,Monica C
AU - Vaidyanathan,R
DO - 10.2196/45752
EP - 10
PY - 2023///
SN - 1929-0748
SP - 1
TI - Assessing a sleep interviewing chatbot to improve subjective and objective sleep: protocol for an observational feasibility study
T2 - JMIR Research Protocols
UR - http://dx.doi.org/10.2196/45752
UR - https://www.ncbi.nlm.nih.gov/pubmed/37166964
UR - https://www.researchprotocols.org/2023/1/e45752
VL - 12
ER -
Established in 2017 by its principal funder the Medical Research Council, in partnership with Alzheimer's Society and Alzheimer’s Research UK, The (UK DRI) is the UK’s leading biomedical research institute dedicated to neurodegenerative diseases.