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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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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. |
format | Online Article Text |
id | pubmed-10101956 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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