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Home-based digital health technologies for older adults to self-manage multiple chronic conditions: A data-informed analysis of user engagement from a longitudinal trial

BACKGROUND: Ageing populations are resulting in higher prevalence of people with multiple chronic conditions (multimorbidity). Digital health platforms have great potential to support self-management of multimorbidity, increasing a person's awareness of their health and well-being, supporting a...

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Autores principales: Sheng, Yiyang, Doyle, Julie, Bond, Raymond, Jaiswal, Rajesh, Gavin, Shane, Dinsmore, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9511338/
https://www.ncbi.nlm.nih.gov/pubmed/36171962
http://dx.doi.org/10.1177/20552076221125957
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author Sheng, Yiyang
Doyle, Julie
Bond, Raymond
Jaiswal, Rajesh
Gavin, Shane
Dinsmore, John
author_facet Sheng, Yiyang
Doyle, Julie
Bond, Raymond
Jaiswal, Rajesh
Gavin, Shane
Dinsmore, John
author_sort Sheng, Yiyang
collection PubMed
description BACKGROUND: Ageing populations are resulting in higher prevalence of people with multiple chronic conditions (multimorbidity). Digital health platforms have great potential to support self-management of multimorbidity, increasing a person's awareness of their health and well-being, supporting a better understanding of diseases and encouraging behaviour change. However, little research has explored the long-term engagement of older adults with such digital interventions. METHODS: The aim of this study is to analyse how 60 older adults with multimorbidity engaged with digital symptom and well-being monitoring through a digital health platform over a period of approximately 12 months. Data analysis focused on user retention, frequency of monitoring, intervals in monitoring and patterns of daily engagement. RESULTS: Our findings show that the overall engagement with the digital health platform was high, with more than 80% of participants using the technology devices for over 200 days. The submission frequency for symptom parameters (e.g. blood glucose (BG), blood pressure (BP), etc.) was between three and four times per week which was higher than that of self-report (2.24) and weight (2.84). Submissions of exercise (6.12) and sleep (5.67) were more frequent. The majority of interactions happened in the morning time. The most common time of submission for symptom parameters was 10 am, whereas 8 am was the most common time for weight measurements. CONCLUSIONS: The findings indicate the patterns of engagement of older adults with complex chronic diseases with digital home-based self-management systems.
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spelling pubmed-95113382022-09-27 Home-based digital health technologies for older adults to self-manage multiple chronic conditions: A data-informed analysis of user engagement from a longitudinal trial Sheng, Yiyang Doyle, Julie Bond, Raymond Jaiswal, Rajesh Gavin, Shane Dinsmore, John Digit Health The Senses and Digital Health BACKGROUND: Ageing populations are resulting in higher prevalence of people with multiple chronic conditions (multimorbidity). Digital health platforms have great potential to support self-management of multimorbidity, increasing a person's awareness of their health and well-being, supporting a better understanding of diseases and encouraging behaviour change. However, little research has explored the long-term engagement of older adults with such digital interventions. METHODS: The aim of this study is to analyse how 60 older adults with multimorbidity engaged with digital symptom and well-being monitoring through a digital health platform over a period of approximately 12 months. Data analysis focused on user retention, frequency of monitoring, intervals in monitoring and patterns of daily engagement. RESULTS: Our findings show that the overall engagement with the digital health platform was high, with more than 80% of participants using the technology devices for over 200 days. The submission frequency for symptom parameters (e.g. blood glucose (BG), blood pressure (BP), etc.) was between three and four times per week which was higher than that of self-report (2.24) and weight (2.84). Submissions of exercise (6.12) and sleep (5.67) were more frequent. The majority of interactions happened in the morning time. The most common time of submission for symptom parameters was 10 am, whereas 8 am was the most common time for weight measurements. CONCLUSIONS: The findings indicate the patterns of engagement of older adults with complex chronic diseases with digital home-based self-management systems. SAGE Publications 2022-09-22 /pmc/articles/PMC9511338/ /pubmed/36171962 http://dx.doi.org/10.1177/20552076221125957 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle The Senses and Digital Health
Sheng, Yiyang
Doyle, Julie
Bond, Raymond
Jaiswal, Rajesh
Gavin, Shane
Dinsmore, John
Home-based digital health technologies for older adults to self-manage multiple chronic conditions: A data-informed analysis of user engagement from a longitudinal trial
title Home-based digital health technologies for older adults to self-manage multiple chronic conditions: A data-informed analysis of user engagement from a longitudinal trial
title_full Home-based digital health technologies for older adults to self-manage multiple chronic conditions: A data-informed analysis of user engagement from a longitudinal trial
title_fullStr Home-based digital health technologies for older adults to self-manage multiple chronic conditions: A data-informed analysis of user engagement from a longitudinal trial
title_full_unstemmed Home-based digital health technologies for older adults to self-manage multiple chronic conditions: A data-informed analysis of user engagement from a longitudinal trial
title_short Home-based digital health technologies for older adults to self-manage multiple chronic conditions: A data-informed analysis of user engagement from a longitudinal trial
title_sort home-based digital health technologies for older adults to self-manage multiple chronic conditions: a data-informed analysis of user engagement from a longitudinal trial
topic The Senses and Digital Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9511338/
https://www.ncbi.nlm.nih.gov/pubmed/36171962
http://dx.doi.org/10.1177/20552076221125957
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