Tao Da, Yuan Juan, Shao Fenglian, Li Debiao, Zhou Qi, Qu Xingda
Author Affiliations: Institute of Human Factors and Ergonomics College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen (Dr Tao, Mss Yuan and Shao, and Dr Qu); Department of Management Science and Engineering, Fuzhou University, Fuzhou (Dr Li); and China Institute of Atomic Energy, Beijing (Ms Zhou), China.
Comput Inform Nurs. 2018 Nov;36(11):530-539. doi: 10.1097/CIN.0000000000000467.
Despite the proliferation of health and nursing informatics applications in the past decade, factors influencing consumer acceptance of the applications are not well understood. This study was conducted to investigate factors affecting acceptance of a consumer-used nursing informatics application (ie, online health information portal) within the framework of the Technology Acceptance Model. A cross-sectional study was conducted in which 201 Chinese young adults were invited to participate in usability testing with a typical health information portal and to complete a self-report questionnaire measuring the model's constructs and five hypothesized variables drawn from consumer and portal characteristics. Hierarchical regression analyses were used to test research hypotheses. Fifteen of the 22 research hypotheses were supported. Perceived ease of use and perceived usefulness predicted satisfaction and behavioral intention, respectively, over and above the portal and consumer characteristics examined in the study. All portal and consumer characteristics had significant, although varied, impacts on the original model constructs. This study demonstrated that an adapted Technology Acceptance Model, extended with portal and consumer characteristics, provides an effective means to understand consumer acceptance of health portals. The findings hold important implications for design and implementation strategies to increase the likelihood of acceptance of consumer-used nursing informatics applications.
尽管在过去十年中健康与护理信息学应用不断涌现,但影响消费者对这些应用接受度的因素仍未得到充分理解。本研究旨在技术接受模型的框架内,调查影响消费者对一款供消费者使用的护理信息学应用(即在线健康信息门户)接受度的因素。开展了一项横断面研究,邀请201名中国年轻人参与对一个典型健康信息门户的可用性测试,并完成一份自我报告问卷,以测量该模型的构成要素以及从消费者和门户特征中提取的五个假设变量。采用分层回归分析来检验研究假设。22个研究假设中有15个得到支持。感知易用性和感知有用性分别预测了满意度和行为意向,超出了本研究中所考察的门户和消费者特征的影响。所有门户和消费者特征对原始模型构成要素均有显著影响,尽管影响程度各不相同。本研究表明,一个结合了门户和消费者特征的适应性技术接受模型,为理解消费者对健康门户的接受度提供了一种有效方法。这些发现对于提高消费者使用的护理信息学应用接受可能性的设计和实施策略具有重要意义。