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Associations between adoption of eHealth management module and optimal control of HbA1c in diabetes patients

In January 2021, the eHealth App was launched in Hong Kong by the Hong Kong government to support the Electronic Health Record Sharing System (eHRSS). A Health Management Module in the eHealth App introduced new functions to record blood pressure, blood sugar, and heart rate, and downloading and sha...

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Autores principales: Huang, Junjie, Chan, Sze Chai, Ko, Samantha, Tong, Ellen, Cheung, Clement S. K., Wong, Wing Nam, Cheung, Ngai Tseung, Wong, Martin C. S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10101956/
https://www.ncbi.nlm.nih.gov/pubmed/37055503
http://dx.doi.org/10.1038/s41746-023-00807-w
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author Huang, Junjie
Chan, Sze Chai
Ko, Samantha
Tong, Ellen
Cheung, Clement S. K.
Wong, Wing Nam
Cheung, Ngai Tseung
Wong, Martin C. S.
author_facet Huang, Junjie
Chan, Sze Chai
Ko, Samantha
Tong, Ellen
Cheung, Clement S. K.
Wong, Wing Nam
Cheung, Ngai Tseung
Wong, Martin C. S.
author_sort Huang, Junjie
collection PubMed
description In January 2021, the eHealth App was launched in Hong Kong by the Hong Kong government to support the Electronic Health Record Sharing System (eHRSS). A Health Management Module in the eHealth App introduced new functions to record blood pressure, blood sugar, and heart rate, and downloading and sharing records. This study aims to compare the level of glycaemic control between users of the eHealth App and non-users. Type 2 diabetes patients who have joined the eHRSS with existing haemoglobin A1c (HbA1c) level records are recruited. Correlations between predictors and optimal HbA1c control (<7%) are examined using logistic regression analyses. A total of 109,823 participants are included, with 76,356 non-users of eHealth App, 31,723 users of eHealth App, and 1744 users of the eHealth Management Module together with the App. We collect HbA1c values from Jan 2021 to May 2022, and they are 6 months after the use of the App on average. Users of the eHealth Management Module are found to have more optimal HbA1c levels across all subgroups, with the strongest effect observed in younger females (aOR = 1.66, 95% CI = 1.27–2.17). eHealth App usage is also positively associated with optimal HbA1c levels, particularly amongst younger females (aOR = 1.17, 95% CI = 1.08–1.26). Overall, users of eHealth App and eHealth Management Module demonstrate more optimal HbA1c levels when compared with non-users, particularly among younger adults and females. These findings support its potential adoption in diabetes patients. Future studies should examine the impact of eHealth interventions on other clinical targets and diabetes complications.
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spelling pubmed-101019562023-04-15 Associations between adoption of eHealth management module and optimal control of HbA1c in diabetes patients Huang, Junjie Chan, Sze Chai Ko, Samantha Tong, Ellen Cheung, Clement S. K. Wong, Wing Nam Cheung, Ngai Tseung Wong, Martin C. S. NPJ Digit Med Article In January 2021, the eHealth App was launched in Hong Kong by the Hong Kong government to support the Electronic Health Record Sharing System (eHRSS). A Health Management Module in the eHealth App introduced new functions to record blood pressure, blood sugar, and heart rate, and downloading and sharing records. This study aims to compare the level of glycaemic control between users of the eHealth App and non-users. Type 2 diabetes patients who have joined the eHRSS with existing haemoglobin A1c (HbA1c) level records are recruited. Correlations between predictors and optimal HbA1c control (<7%) are examined using logistic regression analyses. A total of 109,823 participants are included, with 76,356 non-users of eHealth App, 31,723 users of eHealth App, and 1744 users of the eHealth Management Module together with the App. We collect HbA1c values from Jan 2021 to May 2022, and they are 6 months after the use of the App on average. Users of the eHealth Management Module are found to have more optimal HbA1c levels across all subgroups, with the strongest effect observed in younger females (aOR = 1.66, 95% CI = 1.27–2.17). eHealth App usage is also positively associated with optimal HbA1c levels, particularly amongst younger females (aOR = 1.17, 95% CI = 1.08–1.26). Overall, users of eHealth App and eHealth Management Module demonstrate more optimal HbA1c levels when compared with non-users, particularly among younger adults and females. These findings support its potential adoption in diabetes patients. Future studies should examine the impact of eHealth interventions on other clinical targets and diabetes complications. Nature Publishing Group UK 2023-04-13 /pmc/articles/PMC10101956/ /pubmed/37055503 http://dx.doi.org/10.1038/s41746-023-00807-w 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 Article
Huang, Junjie
Chan, Sze Chai
Ko, Samantha
Tong, Ellen
Cheung, Clement S. K.
Wong, Wing Nam
Cheung, Ngai Tseung
Wong, Martin C. S.
Associations between adoption of eHealth management module and optimal control of HbA1c in diabetes patients
title Associations between adoption of eHealth management module and optimal control of HbA1c in diabetes patients
title_full Associations between adoption of eHealth management module and optimal control of HbA1c in diabetes patients
title_fullStr Associations between adoption of eHealth management module and optimal control of HbA1c in diabetes patients
title_full_unstemmed Associations between adoption of eHealth management module and optimal control of HbA1c in diabetes patients
title_short Associations between adoption of eHealth management module and optimal control of HbA1c in diabetes patients
title_sort associations between adoption of ehealth management module and optimal control of hba1c in diabetes patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10101956/
https://www.ncbi.nlm.nih.gov/pubmed/37055503
http://dx.doi.org/10.1038/s41746-023-00807-w
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