College of Business, University of Jeddah, Jeddah 23445, Saudi Arabia.
LARODEC, ISG, University of Tunis, Le Bardo 2000, Tunisia.
Int J Environ Res Public Health. 2024 Jul 9;21(7):889. doi: 10.3390/ijerph21070889.
This study employs the Technology Acceptance Model to investigate the factors influencing Saudi Arabian diabetic patients' intention to use digital health services. There is an urgent need to investigate the possibilities of digital health services in managing diabetes given the startlingly rapidly increasing prevalence rate of diabetes in KSA. The study examines the variables affecting patients' acceptance and desire to use digital health tools to manage their diabetes. The study employs the Technology Acceptance Model to ascertain the crucial factors that impact patients' opinions regarding the usefulness and ease of use of digital healthcare technologies. The proposed model extends the traditional Technology Acceptance Model by adding two new constructs, perceived privacy and trust. These constructs were examined by analyzing the intentions of 600 respondents through online surveys. The study's conclusions showed that attitudes toward using digital health services for KSA diabetic patients are greatly influenced by every component of the extended Technology Acceptance Model. The study's conclusions add to the body of knowledge already in existence and offer insightful information to decision-makers hoping to improve digital health services.
本研究采用技术接受模型来调查影响沙特阿拉伯糖尿病患者使用数字健康服务意愿的因素。鉴于沙特阿拉伯糖尿病患病率惊人地迅速上升，迫切需要研究数字健康服务在管理糖尿病方面的可能性。本研究考察了影响患者接受和渴望使用数字健康工具来管理糖尿病的变量。本研究采用技术接受模型来确定影响患者对数字医疗技术的有用性和易用性的看法的关键因素。该模型通过分析 600 名受访者的在线调查，扩展了传统的技术接受模型，增加了两个新的结构，感知隐私和信任。研究结论表明，沙特阿拉伯糖尿病患者使用数字健康服务的态度受到扩展技术接受模型的每个组成部分的极大影响。该研究的结论增加了现有的知识体系，并为希望改善数字健康服务的决策者提供了有见地的信息。
