Sun Na, Rau Pei-Luen Patrick
Institute of Human Factors and Ergonomics, Department of Industrial Engineering, Tsinghua University, Beijing 100084, China.
Institute of Human Factors and Ergonomics, Department of Industrial Engineering, Tsinghua University, Beijing 100084, China.
Int J Med Inform. 2015 Apr;84(4):288-97. doi: 10.1016/j.ijmedinf.2015.01.002. Epub 2015 Jan 14.
Personal health devices (PHDs) are rapidly developing and getting smarter. But little is known about chronic patients' acceptance of such PHDs.
The objective of this study is to explore how chronic patients accept PHDs and what are the main factors that predict use intention of PHDs. The results will provide suggestions for the design of PHDs and e-health services.
A questionnaire survey was conducted to identify the main factors that affect chronic patients' acceptance of PHDs. Three hundred and forty-six valid responses from chronic patients were collected and the data were analyzed using exploratory factor analysis and regression analysis method. The questionnaire also included questions about respondents' experience of PHDs and preference of PHD functions. These questions help to understand lived experience of PHD users and to explain the factors that influence their use intention.
Five influencing factors that predict use intention of PHDs were identified: attitude toward technology, perceived usefulness, ease of learning and availability, social support, and perceived pressure. An acceptance model of PHDs was proposed based on these factors, and suggestions for PHD designers and e-health service designers were discussed. The exploration of PHD experience indicated that ease of learning and social norm significantly influenced PHD use intention, and many respondents expressed negative opinions on the accuracy, durability and maintenance service of PHDs. Besides, people generally expressed positive attitude toward future functions of a PHD.
个人健康设备（PHDs）正在迅速发展并变得更加智能。但对于慢性病患者对这类个人健康设备的接受情况却知之甚少。
本研究的目的是探讨慢性病患者如何接受个人健康设备以及预测个人健康设备使用意愿的主要因素有哪些。研究结果将为个人健康设备及电子健康服务的设计提供建议。
通过问卷调查来确定影响慢性病患者接受个人健康设备的主要因素。收集了346份慢性病患者的有效回复，并使用探索性因素分析和回归分析方法对数据进行分析。问卷还包括有关受访者使用个人健康设备的体验以及对个人健康设备功能偏好的问题。这些问题有助于了解个人健康设备用户的实际体验，并解释影响其使用意愿的因素。
确定了五个预测个人健康设备使用意愿的影响因素：对技术的态度、感知有用性、学习易用性和可得性、社会支持以及感知压力。基于这些因素提出了个人健康设备的接受模型，并讨论了对个人健康设备设计者和电子健康服务设计者的建议。对个人健康设备体验的探索表明，学习易用性和社会规范显著影响个人健康设备的使用意愿，许多受访者对个人健康设备的准确性、耐用性和维护服务表达了负面意见。此外，人们普遍对个人健康设备的未来功能持积极态度。
