What Predicts Patients' Adoption Intention Toward mHealth Services in China: Empirical Study.
What Predicts Patients' Adoption Intention Toward mHealth Services in China: Empirical Study.
复制标题
什么可以预测中国患者对移动医疗服务的采用意愿：实证研究
DOI：
10.2196/mhealth.9316
复制
发表时间：
2018-08-29
影响因子：
5
通讯作者：
Xiang F
中科院分区：
文献类型：
--
作者：
Deng Z;Hong Z;Ren C;Zhang W;Xiang F
随着中国对个人健康的日益关注和信息技术的发展，移动健康使患者能够随时随地获取健康信息，与医生互动。检查患者使用移动医疗的意愿被认为是至关重要的，因为它的成功取决于患者的接受程度。本研究的目的是利用具有信任和感知风险的扩展技术接受模型（TAM），探讨中国患者采用移动医疗服务的决定因素。我们对国内3家大型医院进行问卷调查，并采用结构方程模型对数据进行分析。结果表明，该模型拟合良好。信任、感知有用性和感知易用性与移动医疗服务的采用呈正相关。隐私和绩效风险与患者对移动医疗服务的信任和采用意愿呈负相关。此外，患者的年龄和慢性病可以分别预测其对移动健康的信任程度和采用意愿。我们的结论是，尽管TAM的重要性有所下降，但TAM通常在移动医疗采用的背景下起作用。除了技术因素外，信任和感知风险是解释中国患者采用移动医疗服务的关键因素。
With the increasing concerns about the health of individuals in China and the development of information technology, mHealth enables patients to access health information and interact with doctors anytime and anywhere. Examining patients’ willingness to use mHealth is considered critical because its success depends on the adoption of patients. The objective of our study was to explore the determinants of mHealth service adoption among Chinese patients using an extended technology acceptance model (TAM) with trust and perceived risks. We conducted a questionnaire-based survey in 3 large hospitals in China and analyzed the data using structural equation modeling. The results corroborated that the proposed model fits well. Trust, perceived usefulness, and perceived ease of use positively correlated with mHealth service adoption. Privacy and performance risks negatively correlated with the patients’ trust and adoption intention toward mHealth services. In addition, patients’ age and chronic diseases can help predict their trust level and adoption intention toward mHealth, respectively. We concluded that the TAM generally works in the context of mHealth adoption, although its significance has declined. In addition to technical factors, trust and perceived risks are critical for explaining mHealth service adoption among Chinese patients.
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