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本文引用的文献

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Front Endocrinol (Lausanne). 2023 May 4;14:1068254. doi: 10.3389/fendo.2023.1068254. eCollection 2023.
2
Comparing the Acceptance of Mobile Hypertension Apps for Disease Management Among Patients Versus Clinical Use Among Physicians: Cross-sectional Survey.比较患者对用于疾病管理的移动高血压应用程序的接受度与医生的临床使用情况:横断面调查。
JMIR Cardio. 2022 Jan 6;6(1):e31617. doi: 10.2196/31617.
3
Clinical Improvements by Telemedicine Interventions Managing Type 1 and Type 2 Diabetes: Systematic Meta-review.远程医疗干预对 1 型和 2 型糖尿病管理的临床改善:系统荟萃评价。
J Med Internet Res. 2021 Feb 19;23(2):e23244. doi: 10.2196/23244.
4
My Diabetes Coach, a Mobile App-Based Interactive Conversational Agent to Support Type 2 Diabetes Self-Management: Randomized Effectiveness-Implementation Trial.我的糖尿病教练,一个基于移动应用程序的互动对话代理,用于支持 2 型糖尿病自我管理:随机有效性实施试验。
J Med Internet Res. 2020 Nov 5;22(11):e20322. doi: 10.2196/20322.
5
Potential Benefits and Risks Resulting From the Introduction of Health Apps and Wearables Into the German Statutory Health Care System: Scoping Review.将健康类应用程序和可穿戴设备引入德国法定医疗保险体系的潜在获益与风险:范围综述。
JMIR Mhealth Uhealth. 2020 Sep 23;8(9):e16444. doi: 10.2196/16444.
6
Effectiveness of Smartphone App-Based Interactive Management on Glycemic Control in Chinese Patients With Poorly Controlled Diabetes: Randomized Controlled Trial.基于智能手机应用程序的交互式管理对中国血糖控制不佳的糖尿病患者血糖控制的有效性:随机对照试验。
J Med Internet Res. 2019 Dec 9;21(12):e15401. doi: 10.2196/15401.
7
Use, Perspectives, and Attitudes Regarding Diabetes Management Mobile Apps Among Diabetes Patients and Diabetologists in China: National Web-Based Survey.中国糖尿病患者和糖尿病专家对糖尿病管理移动应用的使用、观点和态度:全国性网络调查。
JMIR Mhealth Uhealth. 2019 Feb 8;7(2):e12658. doi: 10.2196/12658.
8
Patient Acceptance of e-Health Services in Saudi Arabia: An Integrative Perspective.沙特阿拉伯的电子医疗服务接受度:综合视角。
Telemed J E Health. 2019 Sep;25(9):847-852. doi: 10.1089/tmj.2018.0107. Epub 2018 Nov 16.
9
A Mobile Health Intervention for Self-Management and Lifestyle Change for Persons With Type 2 Diabetes, Part 2: One-Year Results From the Norwegian Randomized Controlled Trial RENEWING HEALTH.移动健康干预对 2 型糖尿病患者的自我管理和生活方式改变,第 2 部分:挪威随机对照试验 RENEWING HEALTH 的一年结果。
JMIR Mhealth Uhealth. 2014 Dec 11;2(4):e57. doi: 10.2196/mhealth.3882.

[2型糖尿病患者使用电子健康管理疾病的意愿及影响机制]

[Type 2 diabetes patients use E-health to manage disease willingness and influence mechanisms].

作者信息

Chen Z, Zhang X, Gu Y, Chang C

出版信息

Beijing Da Xue Xue Bao Yi Xue Ban. 2025 Jun 18;57(3):522-528. doi: 10.19723/j.issn.1671-167X.2025.03.016.

DOI:10.19723/j.issn.1671-167X.2025.03.016
PMID:40509830
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12171611/
Abstract

OBJECTIVE

To comprehensively investigate how the willingness of patients with type 2 diabetes mellitus to use E-health technologies, such as the application (APP) or Wechat mini-programs and the underlying influencing factors works for its mechanisms.

METHODS

Based on the extended technology acceptance model, a cross-sectional questionnaire survey was conducted among 559 patients with type 2 diabetes from six provinces or municipalities in the eastern, central, and western regions of China from November to December 2024. The survey aimed to investigate the patients' willingness to use APP or Wechat mini-programs and the influencing factors. Correlation analysis and structural equation modeling methods were used to analyze the influencing factors of patients ' willingness to use and to explore the mechanisms.

RESULTS

A total of 559 patients were surveyed, with an average willingness score of 10.68 (out of a total score of 15). Age and education level were found to be influencing factors of willingness to use, younger age and higher education (high school/college) were significantly associated with stronger willingness to use ( < 0.05). Spearman correlation analysis revealed that perceived usefulness, perceived ease of use, disease perception, social support, self-efficacy, and external cues were positively correlated with willingness to use, while perceived barriers were negatively correlated (all < 0.05). Structural equation modeling demonstrated direct effects of perceived usefulness (=0.375, < 0.001), disease perception (=-0.240, < 0.001), self-efficacy (=0.313, =0.019), social support (=-0.336, =0.042), and external cues (=0.609, < 0.001) on willingness to use. Perceived ease of use indirectly influenced willingness through perceived usefulness (total effect=0.374). Self-efficacy affected usage intention partially mediated by disease perception, external cues influenced intention through perceived usefulness, and perceived barriers impacted intention perceived usefulness, with external cues exhibiting the strongest total effect (=0.672). All these effects were statistically significant ( < 0.05).

CONCLUSION

Patients with type 2 diabetes mellitus have a high willingness to use E-health technologies like APP or Wechat mini-programs, particularly younger individuals and those with high school/college education. Increasing perceived usefulness, self-efficacy, and external promotion can enhance willingness to use. However, higher disease perception and higher social support are associated with decreased willingness to use. Perceived ease of use and self-efficacy can also affect willingness to use through multiple mechanisms.

摘要

目的

全面调查2型糖尿病患者使用电子健康技术(如应用程序(APP)或微信小程序)的意愿及其潜在影响因素,并探究其作用机制。

方法

基于扩展技术接受模型,于2024年11月至12月对中国东部、中部和西部六个省或直辖市的559例2型糖尿病患者进行横断面问卷调查。该调查旨在了解患者使用APP或微信小程序的意愿及其影响因素。采用相关性分析和结构方程建模方法分析患者使用意愿的影响因素并探究其机制。

结果

共调查559例患者,平均意愿得分为10.68分(满分15分)。年龄和教育水平是使用意愿的影响因素,年龄较小和教育程度较高(高中/大专)与较强的使用意愿显著相关(<0.05)。Spearman相关性分析显示,感知有用性、感知易用性、疾病认知、社会支持、自我效能感和外部线索与使用意愿呈正相关,而感知障碍与使用意愿呈负相关(均<0.05)。结构方程建模表明,感知有用性(=0.375,<0.001)、疾病认知(=-0.240,<0.001)、自我效能感(=0.313,=0.019)、社会支持(=-0.336,=0.042)和外部线索(=0.609,<0.001)对使用意愿有直接影响。感知易用性通过感知有用性间接影响使用意愿(总效应=0.374)。自我效能感通过疾病认知部分介导对使用意愿的影响,外部线索通过感知有用性影响意愿,感知障碍通过感知有用性影响意愿,其中外部线索的总效应最强(=0.672)。所有这些效应均具有统计学意义(<0.05)。

结论

2型糖尿病患者使用APP或微信小程序等电子健康技术的意愿较高,尤其是年轻人和高中/大专学历者。提高感知有用性、自我效能感和外部推广可增强使用意愿。然而,较高的疾病认知和较高的社会支持与较低的使用意愿相关。感知易用性和自我效能感也可通过多种机制影响使用意愿。