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沙特阿拉伯公众对电子健康服务采用影响因素的实证研究。

An empirical study of factors influencing e-health services adoption among public in Saudi Arabia.

机构信息

University of Jeddah, College of Computing and Information Technology at Khulais, 441424Department of Information Technology, Jeddah, Saudi Arabia.

School of Computing, 65293Universiti Utara Malaysia, Sintok, Malaysia.

出版信息

Health Informatics J. 2022 Apr-Jun;28(2):14604582221102316. doi: 10.1177/14604582221102316.

DOI:10.1177/14604582221102316
PMID:35702832
Abstract

Until now most of the studies concerning eHealth in Saudi Arabia are about the exploration of the national benefits from eHealth and the technical and infrastructural challenges in implementing eHealth rather than finding the factors influencing the users in adopting eHealth services. Further, the eHealth adoption rate in Saudi Arabia is low despite the scope of potential growth for the eHealth market. In this study, the authors added Trust, Privacy and System Quality factors to Technology Acceptance Model by considering the research context to examine the factors influencing eHealth services adoption. The proposed model was empirically tested based on the data collected, through survey questionnaire from 314 responses in Saudi Arabia. Structural Equation Modelling was followed to analysis and validates the proposed model based on partial least squares method using SmartPLS. Based on the findings, Perceived Usefulness in addition to Privacy significantly affect eHealth adoption. Moreover, Perceived Ease of Use factor has indirect effect on people perception toward eHealth services. Furthermore, the results show that System Quality and Trust are not influencing factors. This study is important for the healthcare policymakers for getting direction for future studies to avail the maximum benefits of eHealth in Saudi Arabia.

摘要

到目前为止,大多数关于沙特阿拉伯电子健康的研究都集中在探索电子健康带来的国家利益,以及在实施电子健康方面的技术和基础设施挑战,而不是寻找影响用户采用电子健康服务的因素。此外,尽管电子健康市场有很大的潜在增长空间,但沙特阿拉伯的电子健康采用率仍然很低。在这项研究中,作者通过考虑研究背景,将信任、隐私和系统质量因素添加到技术接受模型中,以检验影响电子健康服务采用的因素。根据从沙特阿拉伯收集的 314 份调查问卷,采用结构方程模型,使用 SmartPLS 基于偏最小二乘法对所提出的模型进行了实证检验。根据研究结果,除了隐私之外,感知有用性也显著影响电子健康的采用。此外,感知易用性因素对人们对电子健康服务的看法有间接影响。此外,结果表明系统质量和信任不是影响因素。这项研究对医疗保健政策制定者来说非常重要,他们可以从中获得指导,以便在沙特阿拉伯充分利用电子健康的优势。

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