Engagement with consumer smartwatches for tracking symptoms of individuals living with multiple long-term conditions (multimorbidity): A longitudinal observational study

Introduction People living with multiple long-term conditions (multimorbidity) (MLTC-M) experience an accumulating combination of different symptoms. It has been suggested that these symptoms can be tracked longitudinally using consumer technology, such as smartphones and wearable devices. Aim The a...

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Autores principales:	Syed Mustafa Ali, David A Selby, Kazi Khalid, Katherine Dempsey, Elaine Mackey, Nicola Small, Sabine N van der Veer, Brian Mcmillan, Peter Bower, Benjamin Brown, John McBeth, William G Dixon
Formato:	article
Lenguaje:	EN
Publicado:	SAGE Publishing 2021
Materias:	Medicine R
Acceso en línea:	https://doaj.org/article/b653e3cd1755417db10662679a0e42a1
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spelling	oai:doaj.org-article:b653e3cd1755417db10662679a0e42a12021-11-30T23:34:30ZEngagement with consumer smartwatches for tracking symptoms of individuals living with multiple long-term conditions (multimorbidity): A longitudinal observational study2235-042X10.1177/26335565211062791https://doaj.org/article/b653e3cd1755417db10662679a0e42a12021-11-01T00:00:00Zhttps://doi.org/10.1177/26335565211062791https://doaj.org/toc/2235-042XIntroduction People living with multiple long-term conditions (multimorbidity) (MLTC-M) experience an accumulating combination of different symptoms. It has been suggested that these symptoms can be tracked longitudinally using consumer technology, such as smartphones and wearable devices. Aim The aim of this study was to investigate longitudinal user engagement with a smartwatch application, collecting survey questions and active tasks over 90 days, in people living with MLTC-M. Methods ‘Watch Your Steps ’ was a prospective observational study, administering multiple questions and active tasks over 90 days. Adults with more than one clinician-diagnosed long-term conditions were loaned Fossil® Sport smartwatches, pre-loaded with the study app. Around 20 questions were prompted per day. Daily completion rates were calculated to describe engagement patterns over time, and to explore how these varied by patient characteristics and question type. Results Fifty three people with MLTC-M took part in the study. Around half were male ( = 26; 49%) and the majority had a white ethnic background ( n = 45; 85%). About a third of participants engaged with the smartwatch app nearly every day. The overall completion rate of symptom questions was 45% inter-quartile range (IQR 23–67%) across all study participants. Older patients and those with greater MLTC-M were more engaged, although engagement was not significantly different between genders. Conclusion It was feasible for people living with MLTC-M to report multiple symptoms per day over 3 months. User engagement appeared as good as other mobile health studies that recruited people with single health conditions, despite the higher daily data entry burden.Syed Mustafa AliDavid A SelbyKazi KhalidKatherine DempseyElaine MackeyNicola SmallSabine N van der VeerBrian McmillanPeter BowerBenjamin BrownJohn McBethWilliam G DixonSAGE PublishingarticleMedicineRENJournal of Comorbidity, Vol 11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R
spellingShingle	Medicine R Syed Mustafa Ali David A Selby Kazi Khalid Katherine Dempsey Elaine Mackey Nicola Small Sabine N van der Veer Brian Mcmillan Peter Bower Benjamin Brown John McBeth William G Dixon Engagement with consumer smartwatches for tracking symptoms of individuals living with multiple long-term conditions (multimorbidity): A longitudinal observational study
description	Introduction People living with multiple long-term conditions (multimorbidity) (MLTC-M) experience an accumulating combination of different symptoms. It has been suggested that these symptoms can be tracked longitudinally using consumer technology, such as smartphones and wearable devices. Aim The aim of this study was to investigate longitudinal user engagement with a smartwatch application, collecting survey questions and active tasks over 90 days, in people living with MLTC-M. Methods ‘Watch Your Steps ’ was a prospective observational study, administering multiple questions and active tasks over 90 days. Adults with more than one clinician-diagnosed long-term conditions were loaned Fossil® Sport smartwatches, pre-loaded with the study app. Around 20 questions were prompted per day. Daily completion rates were calculated to describe engagement patterns over time, and to explore how these varied by patient characteristics and question type. Results Fifty three people with MLTC-M took part in the study. Around half were male ( = 26; 49%) and the majority had a white ethnic background ( n = 45; 85%). About a third of participants engaged with the smartwatch app nearly every day. The overall completion rate of symptom questions was 45% inter-quartile range (IQR 23–67%) across all study participants. Older patients and those with greater MLTC-M were more engaged, although engagement was not significantly different between genders. Conclusion It was feasible for people living with MLTC-M to report multiple symptoms per day over 3 months. User engagement appeared as good as other mobile health studies that recruited people with single health conditions, despite the higher daily data entry burden.
format	article
author	Syed Mustafa Ali David A Selby Kazi Khalid Katherine Dempsey Elaine Mackey Nicola Small Sabine N van der Veer Brian Mcmillan Peter Bower Benjamin Brown John McBeth William G Dixon
author_facet	Syed Mustafa Ali David A Selby Kazi Khalid Katherine Dempsey Elaine Mackey Nicola Small Sabine N van der Veer Brian Mcmillan Peter Bower Benjamin Brown John McBeth William G Dixon
author_sort	Syed Mustafa Ali
title	Engagement with consumer smartwatches for tracking symptoms of individuals living with multiple long-term conditions (multimorbidity): A longitudinal observational study
title_short	Engagement with consumer smartwatches for tracking symptoms of individuals living with multiple long-term conditions (multimorbidity): A longitudinal observational study
title_full	Engagement with consumer smartwatches for tracking symptoms of individuals living with multiple long-term conditions (multimorbidity): A longitudinal observational study
title_fullStr	Engagement with consumer smartwatches for tracking symptoms of individuals living with multiple long-term conditions (multimorbidity): A longitudinal observational study
title_full_unstemmed	Engagement with consumer smartwatches for tracking symptoms of individuals living with multiple long-term conditions (multimorbidity): A longitudinal observational study
title_sort	engagement with consumer smartwatches for tracking symptoms of individuals living with multiple long-term conditions (multimorbidity): a longitudinal observational study
publisher	SAGE Publishing
publishDate	2021
url	https://doaj.org/article/b653e3cd1755417db10662679a0e42a1
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Engagement with consumer smartwatches for tracking symptoms of individuals living with multiple long-term conditions (multimorbidity): A longitudinal observational study

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