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Efficacy of eHealth Interventions for Adults with Diabetes: A Systematic Review and Meta-Analysis.电子健康干预措施对糖尿病成人患者的疗效:系统评价和荟萃分析。
Int J Environ Res Public Health. 2021 Aug 26;18(17):8982. doi: 10.3390/ijerph18178982.
2
Relationships Between Mobile eHealth Literacy, Diabetes Self-care, and Glycemic Outcomes in Taiwanese Patients With Type 2 Diabetes: Cross-sectional Study.**标题**:台湾 2 型糖尿病患者的移动电子健康素养、自我护理与血糖控制结局之间的关系:一项横断面研究。
JMIR Mhealth Uhealth. 2021 Feb 5;9(2):e18404. doi: 10.2196/18404.
3
Influence of Personality on mHealth Use in Patients with Diabetes: Prospective Pilot Study.人格对糖尿病患者使用移动医疗的影响:前瞻性试点研究。
JMIR Mhealth Uhealth. 2020 Aug 10;8(8):e17709. doi: 10.2196/17709.
4
Prevalence and determinants of poor glycaemic control: a cross-sectional study among Moroccan type 2 diabetes patients.摩洛哥 2 型糖尿病患者中血糖控制不佳的流行情况及其决定因素:一项横断面研究。
Int Health. 2022 Jul 1;14(4):390-397. doi: 10.1093/inthealth/ihz107.
5
Sociodemographic Factors Influencing the Use of eHealth in People with Chronic Diseases.影响慢性病患者使用电子健康的社会人口学因素。
Int J Environ Res Public Health. 2019 Feb 21;16(4):645. doi: 10.3390/ijerph16040645.
6
Users' preferences and design recommendations to promote engagements with mobile apps for diabetes self-management: Multi-national perspectives.用户对促进糖尿病自我管理移动应用程序使用的偏好和设计建议:多国家视角。
PLoS One. 2018 Dec 10;13(12):e0208942. doi: 10.1371/journal.pone.0208942. eCollection 2018.
7
Longitudinal trends in HbA patterns and association with outcomes: A systematic review.HbA 模式的纵向趋势及其与结局的关系:系统评价。
Diabetes Metab Res Rev. 2018 Sep;34(6):e3015. doi: 10.1002/dmrr.3015. Epub 2018 May 22.
8
Gender Similarities and Differences for e-Health Behaviors Among U.S. Adults.美国成年人电子健康行为的性别相似性和差异性。
Telemed J E Health. 2018 May;24(5):335-343. doi: 10.1089/tmj.2017.0136. Epub 2017 Aug 16.
9
Factors Associated with Long-Term Control of Type 2 Diabetes Mellitus.与 2 型糖尿病长期控制相关的因素。
J Diabetes Res. 2016;2016:2109542. doi: 10.1155/2016/2109542. Epub 2016 Dec 20.
10
Factors that influence the implementation of e-health: a systematic review of systematic reviews (an update).影响电子健康实施的因素:系统评价的系统综述(更新版)
Implement Sci. 2016 Oct 26;11(1):146. doi: 10.1186/s13012-016-0510-7.

糖尿病患者采用电子健康管理模块与糖化血红蛋白(HbA1c)的最佳控制之间的关联。

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

作者信息

Huang Junjie, Chan Sze Chai, Ko Samantha, Tong Ellen, Cheung Clement S K, Wong Wing Nam, Cheung Ngai Tseung, Wong Martin C S

机构信息

JC School of Public Health and Primary Care, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong SAR, China.

Centre for Health Education and Health Promotion, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong SAR, China.

出版信息

NPJ Digit Med. 2023 Apr 13;6(1):67. doi: 10.1038/s41746-023-00807-w.

DOI:10.1038/s41746-023-00807-w
PMID:37055503
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10101956/
Abstract

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.

摘要

2021年1月,香港政府在香港推出了电子健康应用程序,以支持电子健康记录共享系统(eHRSS)。该电子健康应用程序中的健康管理模块引入了记录血压、血糖和心率以及下载和共享记录的新功能。本研究旨在比较电子健康应用程序用户和非用户之间的血糖控制水平。招募已加入电子健康记录共享系统且有现有糖化血红蛋白(HbA1c)水平记录的2型糖尿病患者。使用逻辑回归分析检查预测因素与最佳HbA1c控制(<7%)之间的相关性。总共纳入了109,823名参与者,其中76,356名非电子健康应用程序用户,31,723名电子健康应用程序用户,以及1744名同时使用电子健康管理模块和该应用程序的用户。我们收集了2021年1月至2022年5月的HbA1c值,平均是在使用该应用程序6个月后。发现在所有亚组中,使用电子健康管理模块的用户具有更优的HbA1c水平,在年轻女性中观察到的效果最强(调整后比值比[aOR]=1.66,95%置信区间[CI]=1.27-2.17)。使用电子健康应用程序也与更优的HbA1c水平呈正相关,尤其是在年轻女性中(aOR=1.17,95%CI=1.08-1.26)。总体而言,与非用户相比,电子健康应用程序和电子健康管理模块的用户表现出更优的HbA1c水平,尤其是在年轻人和女性中。这些发现支持了其在糖尿病患者中的潜在应用。未来的研究应考察电子健康干预对其他临床指标和糖尿病并发症的影响。