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eHealth profile of patients with diabetes

BACKGROUND: Digital health technology can be useful to improve the health of patients with diabetes, to support patient-centered care, and self-management. In this cross-sectional study, we described the eHealth profile of patients with diabetes, based on their use of digital health technology, and...

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Autores principales: Jendly, M, Santschi, V, Tancredi, S, Konzelmann, I, Raboud, L, Chiolero, Arnaud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10595318/
http://dx.doi.org/10.1093/eurpub/ckad160.1223
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author Jendly, M
Santschi, V
Tancredi, S
Konzelmann, I
Raboud, L
Chiolero, Arnaud
author_facet Jendly, M
Santschi, V
Tancredi, S
Konzelmann, I
Raboud, L
Chiolero, Arnaud
author_sort Jendly, M
collection PubMed
description BACKGROUND: Digital health technology can be useful to improve the health of patients with diabetes, to support patient-centered care, and self-management. In this cross-sectional study, we described the eHealth profile of patients with diabetes, based on their use of digital health technology, and its association with sociodemographic characteristics. METHODS: We used data from the “Qualité Diabète Valais” cohort study, conducted in one region of Switzerland (Canton Valais) since 2020. Participants with type 1 or type 2 diabetes completed questionnaires on sociodemographic characteristics and on the use of digital health technology. We defined eHealth profiles based on three features, i.e., ownership or use of 1) internet-connected devices (smartphone, tablet, or computer), 2) mHealth applications, and 3) connected health tools (activity sensor, smart weight scale, or connected blood glucose meter). We assessed the association between sociodemographic characteristics and participants’ eHealth profiles using stratified analyses and logistic regression models. RESULTS: 398 participants (38% women) with a mean age of 65 years were included. The vast majority (94%) were Swiss citizens or bi-national; 14% had a primary level education, 51% a secondary level, and 32% a tertiary level. Some 75% of participants had type 2 diabetes. Some 90% of the participants owned internet-connected devices, 43% used mHealth applications, and 44% owned a connected health tool. Older age and a lower educational level were associated with lower odds of all features of the eHealth profile. CONCLUSIONS: While most participants owned internet-connected devices, only about half of them used mHealth applications or owned connected health tools. Older participants and those with a lower educational level were less likely to use digital health technology. eHealth implementation strategies need to consider these sociodemographic patterns among patients with diabetes. KEY MESSAGES: • eHealth use among patients with diabetes was associated with younger age and higher education. • eHealth strategies need to consider that patients at higher risk of complications are those who use eHealth the least.
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spelling pubmed-105953182023-10-25 eHealth profile of patients with diabetes Jendly, M Santschi, V Tancredi, S Konzelmann, I Raboud, L Chiolero, Arnaud Eur J Public Health Poster Displays BACKGROUND: Digital health technology can be useful to improve the health of patients with diabetes, to support patient-centered care, and self-management. In this cross-sectional study, we described the eHealth profile of patients with diabetes, based on their use of digital health technology, and its association with sociodemographic characteristics. METHODS: We used data from the “Qualité Diabète Valais” cohort study, conducted in one region of Switzerland (Canton Valais) since 2020. Participants with type 1 or type 2 diabetes completed questionnaires on sociodemographic characteristics and on the use of digital health technology. We defined eHealth profiles based on three features, i.e., ownership or use of 1) internet-connected devices (smartphone, tablet, or computer), 2) mHealth applications, and 3) connected health tools (activity sensor, smart weight scale, or connected blood glucose meter). We assessed the association between sociodemographic characteristics and participants’ eHealth profiles using stratified analyses and logistic regression models. RESULTS: 398 participants (38% women) with a mean age of 65 years were included. The vast majority (94%) were Swiss citizens or bi-national; 14% had a primary level education, 51% a secondary level, and 32% a tertiary level. Some 75% of participants had type 2 diabetes. Some 90% of the participants owned internet-connected devices, 43% used mHealth applications, and 44% owned a connected health tool. Older age and a lower educational level were associated with lower odds of all features of the eHealth profile. CONCLUSIONS: While most participants owned internet-connected devices, only about half of them used mHealth applications or owned connected health tools. Older participants and those with a lower educational level were less likely to use digital health technology. eHealth implementation strategies need to consider these sociodemographic patterns among patients with diabetes. KEY MESSAGES: • eHealth use among patients with diabetes was associated with younger age and higher education. • eHealth strategies need to consider that patients at higher risk of complications are those who use eHealth the least. Oxford University Press 2023-10-24 /pmc/articles/PMC10595318/ http://dx.doi.org/10.1093/eurpub/ckad160.1223 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the European Public Health Association. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Poster Displays
Jendly, M
Santschi, V
Tancredi, S
Konzelmann, I
Raboud, L
Chiolero, Arnaud
eHealth profile of patients with diabetes
title eHealth profile of patients with diabetes
title_full eHealth profile of patients with diabetes
title_fullStr eHealth profile of patients with diabetes
title_full_unstemmed eHealth profile of patients with diabetes
title_short eHealth profile of patients with diabetes
title_sort ehealth profile of patients with diabetes
topic Poster Displays
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10595318/
http://dx.doi.org/10.1093/eurpub/ckad160.1223
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