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影响 2 型糖尿病患者使用数字疾病管理应用意愿的因素:一项横断面研究。

Factors affecting the willingness of patients with type 2 diabetes to use digital disease management applications: a cross-sectional study.

机构信息

School of Nursing, Chengdu Medical College, Chengdu, Sichuan, China.

West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.

出版信息

Front Public Health. 2023 Oct 23;11:1259158. doi: 10.3389/fpubh.2023.1259158. eCollection 2023.

DOI:10.3389/fpubh.2023.1259158
PMID:37937072
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10626484/
Abstract

BACKGROUND

The global burden of type 2 diabetes has significantly increased, leading to a considerable impact on healthcare systems worldwide. While the advent of mobile healthcare has provided some relief by addressing the shortage of certain medical resources, its adoption among the Chinese population remains relatively low. To extend the benefits of mHealth to a greater number of Chinese diabetic patients, it is essential to investigate the factors that influence their willingness to utilize it and implement targeted interventions based on these influencing factors. The Technology Acceptance Model (TAM) is widely employed to examine users' ultimate usage behaviors, and previous studies have indicated the potential relevance of the Perceived Risk (PR) theory and the eHealth Literacy Theory to users' usage behaviors.

OBJECTIVE

Our objective was to investigate the determinants that affect the willingness of Chinese patients diagnosed with type 2 diabetes patients to utilize digital disease management applications (DDMAs).

METHODS

We conducted a cross-sectional study of patients with type 2 diabetes in three tertiary general hospitals in Chengdu using questionnaires designed by the investigators. Participants were sampled using a convenience sampling method. The questionnaire comprised three sections: socio-demographic profile and medical history; current awareness and willingness to use digital disease management applications; and the current level of e-health literacy. Structural equation modeling was employed to assess the impact of patient awareness of DDMAs and e-health literacy on the willingness to use such DDMAs.

RESULTS

(1) Patients' attitudes toward using DDMAs were significantly influenced by perceived ease of use ( = 0.380, < 0.001) and perceived usefulness ( = 0.546, < 0.001); (2) Electronic health literacy exerted a significant impact on patients' perceived usefulness ( = 0.115, = 18) and perceived ease of use ( = 0.659, < 0.001); (3) Patients' willingness to use was significantly influenced by perceived usefulness ( = 0.137, < 0.001) and use attitude ( = 0.825, < 0.001).

CONCLUSIONS

The present research findings hold both theoretical and practical significance, and can serve as a guide for healthcare practitioners and researchers to gain a deeper comprehension of the acceptance of digital disease management applications (DDMAs) among type 2 diabetes patients.

摘要

背景

全球 2 型糖尿病的负担显著增加,给全球医疗系统带来了重大影响。虽然移动医疗的出现通过解决某些医疗资源的短缺问题提供了一些缓解,但在中国人群中的采用率仍然相对较低。为了将移动医疗的益处扩展到更多的中国糖尿病患者,有必要调查影响他们使用意愿的因素,并根据这些影响因素实施有针对性的干预措施。技术接受模型(TAM)被广泛用于研究用户的最终使用行为,并且之前的研究表明感知风险(PR)理论和电子健康素养理论对用户的使用行为具有潜在的相关性。

目的

我们的目的是调查影响中国 2 型糖尿病患者使用数字疾病管理应用程序(DDMAs)意愿的决定因素。

方法

我们在成都的三家三级综合医院对 2 型糖尿病患者进行了横断面研究,使用研究人员设计的问卷进行调查。采用方便抽样法对参与者进行抽样。问卷包括三部分:社会人口统计学特征和病史;当前对数字疾病管理应用程序的认识和使用意愿;以及当前的电子健康素养水平。结构方程模型用于评估患者对 DDMAs 的认识和电子健康素养对使用此类 DDMAs 的意愿的影响。

结果

(1)患者使用 DDMAs 的态度受到感知易用性( = 0.380, < 0.001)和感知有用性( = 0.546, < 0.001)的显著影响;(2)电子健康素养对患者的感知有用性( = 0.115, = 18)和感知易用性( = 0.659, < 0.001)产生了显著影响;(3)患者的使用意愿受到感知有用性( = 0.137, < 0.001)和使用态度( = 0.825, < 0.001)的显著影响。

结论

本研究结果具有理论和实践意义,可以为医疗保健从业者和研究人员提供指导,以加深对 2 型糖尿病患者对数字疾病管理应用程序(DDMAs)接受程度的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3449/10626484/5fb3e02f9eec/fpubh-11-1259158-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3449/10626484/5fb3e02f9eec/fpubh-11-1259158-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3449/10626484/5fb3e02f9eec/fpubh-11-1259158-g0001.jpg

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本文引用的文献

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2
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Front Public Health. 2022 Oct 31;10:1030887. doi: 10.3389/fpubh.2022.1030887. eCollection 2022.
3
Exploring Users' Health Behavior Changes in Online Health Communities: Heuristic-Systematic Perspective Study.
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Front Public Health. 2024 Jun 20;12:1348673. doi: 10.3389/fpubh.2024.1348673. eCollection 2024.
探索在线健康社区中用户健康行为的变化:启发式-系统方法研究。
Int J Environ Res Public Health. 2022 Sep 18;19(18):11783. doi: 10.3390/ijerph191811783.
4
The Determinants of User Acceptance of Mobile Medical Platforms: An Investigation Integrating the TPB, TAM, and Patient-Centered Factors.移动医疗平台用户接受度的决定因素:整合 TPB、TAM 和以患者为中心因素的调查。
Int J Environ Res Public Health. 2022 Aug 29;19(17):10758. doi: 10.3390/ijerph191710758.
5
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Sensors (Basel). 2022 Aug 15;22(16):6092. doi: 10.3390/s22166092.
6
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7
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8
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