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Identifying vulnerable populations in the electronic Framingham Heart Study to improve digital device adherence

The usage of digital devices in clinical and research settings has rapidly increased. Despite their promise, optimal use of these devices is often hampered by low adherence. The relevant factors predictive of long-term adherence have yet to be fully explored. A recent study investigated device usage...

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Autores principales: Mittermaier, Mirja, Venkatesh, Kaushik P., Kvedar, Joseph C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10011379/
https://www.ncbi.nlm.nih.gov/pubmed/36914728
http://dx.doi.org/10.1038/s41746-023-00789-9
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author Mittermaier, Mirja
Venkatesh, Kaushik P.
Kvedar, Joseph C.
author_facet Mittermaier, Mirja
Venkatesh, Kaushik P.
Kvedar, Joseph C.
author_sort Mittermaier, Mirja
collection PubMed
description The usage of digital devices in clinical and research settings has rapidly increased. Despite their promise, optimal use of these devices is often hampered by low adherence. The relevant factors predictive of long-term adherence have yet to be fully explored. A recent study investigated device usage over 12 months in a cohort of the electronic Framingham Heart Study. It identified sociodemographic and health-related factors associated with the long-term use of three digital health components: a smartphone app, a digital blood pressure cuff, and a smartwatch. The authors found that depressive symptoms and lower self-rated health were associated with lower smartwatch usage. Female sex and higher education levels were associated with higher app-based survey completion. Here, we discuss factors predictive for adherence and personalized strategies to promote adherence to digital tools.
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spelling pubmed-100113792023-03-15 Identifying vulnerable populations in the electronic Framingham Heart Study to improve digital device adherence Mittermaier, Mirja Venkatesh, Kaushik P. Kvedar, Joseph C. NPJ Digit Med Editorial The usage of digital devices in clinical and research settings has rapidly increased. Despite their promise, optimal use of these devices is often hampered by low adherence. The relevant factors predictive of long-term adherence have yet to be fully explored. A recent study investigated device usage over 12 months in a cohort of the electronic Framingham Heart Study. It identified sociodemographic and health-related factors associated with the long-term use of three digital health components: a smartphone app, a digital blood pressure cuff, and a smartwatch. The authors found that depressive symptoms and lower self-rated health were associated with lower smartwatch usage. Female sex and higher education levels were associated with higher app-based survey completion. Here, we discuss factors predictive for adherence and personalized strategies to promote adherence to digital tools. Nature Publishing Group UK 2023-03-13 /pmc/articles/PMC10011379/ /pubmed/36914728 http://dx.doi.org/10.1038/s41746-023-00789-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Editorial
Mittermaier, Mirja
Venkatesh, Kaushik P.
Kvedar, Joseph C.
Identifying vulnerable populations in the electronic Framingham Heart Study to improve digital device adherence
title Identifying vulnerable populations in the electronic Framingham Heart Study to improve digital device adherence
title_full Identifying vulnerable populations in the electronic Framingham Heart Study to improve digital device adherence
title_fullStr Identifying vulnerable populations in the electronic Framingham Heart Study to improve digital device adherence
title_full_unstemmed Identifying vulnerable populations in the electronic Framingham Heart Study to improve digital device adherence
title_short Identifying vulnerable populations in the electronic Framingham Heart Study to improve digital device adherence
title_sort identifying vulnerable populations in the electronic framingham heart study to improve digital device adherence
topic Editorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10011379/
https://www.ncbi.nlm.nih.gov/pubmed/36914728
http://dx.doi.org/10.1038/s41746-023-00789-9
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