Griebel Lena, Sedlmayr Brita, Prokosch Hans-Ulrich, Criegee-Rieck Manfred, Sedlmayr Martin
Department of Medical Informatics, University of Erlangen-Nuremberg.
Stud Health Technol Inform. 2013;192:965.
Personalized e-health services hold many promises, e.g. the improvement of health care quality or the reduction of costs. However, such services can't tap their full potential if they will not be used. That's why it is essential to understand what brings potential users to accept them. In the literature many acceptance models exist that predict the usage of innovations, but none of them specifically refers to the adoption of e-health services. Therefore we combined the Unified Theory of Acceptance and Use of Technology (UTAUT) and the e-health literacy concept and enhanced the resulting model with additional factors. MEDLINE® was searched; 75 studies were included for final analysis. Apart from the UTAUT variables and e-health literacy, 10 additional factors were identified: anxiety, trust, attitude toward using, computer self-efficacy, perceived system quality, search strategy, user's condition, health specific knowledge, Internet dependency and satisfaction with medical care. Future research will include the devolvement of an instrument for assessing these factors and testing the initial research model in an international context.
个性化电子健康服务有诸多前景，例如提高医疗质量或降低成本。然而，如果这些服务不被使用，它们就无法充分发挥其潜力。这就是为什么了解是什么促使潜在用户接受它们至关重要。文献中有许多预测创新使用情况的接受模型，但没有一个专门针对电子健康服务的采用。因此，我们将技术接受与使用统一理论（UTAUT）和电子健康素养概念相结合，并用其他因素对所得模型进行了强化。我们检索了MEDLINE®；75项研究被纳入最终分析。除了UTAUT变量和电子健康素养外，还确定了10个其他因素：焦虑、信任、使用态度、计算机自我效能感、感知系统质量、搜索策略、用户状况、健康特定知识、网络依赖和对医疗护理的满意度。未来的研究将包括开发一种评估这些因素的工具，并在国际背景下测试初始研究模型。
