Chow Meyrick, Chan Lawrence, Lo Bill, Chu Wai-Pong, Chan Tao, Lai Yau-Ming
School of Nursing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong.
Nurse Educ Today. 2013 Jun;33(6):655-62. doi: 10.1016/j.nedt.2012.01.009. Epub 2012 Feb 13.
Clinical imaging plays an integral role in disease diagnosis and patient care. It is good for healthcare professionals such as nurses to acquire skills and knowledge in radiological examination requests and image interpretation, since this kind of role extension provides more personalized patient care and streamlines the service. This study described the development of a clinical imaging portal to facilitate independent learning in image interpretation and explored factors affecting intentions to use the portal based on the technology acceptance model (TAM), with the computer self-efficacy construct as an external variable. One hundred and twenty-eight nursing students participated in this survey study and the results indicated that the portal was perceived as easy to use, useful and satisfying. Structural equation modeling (SEM) showed that attitude toward using the portal exhibited the strongest total effect on behavioral intention to use, followed by perceived ease of use and computer self-efficacy. Although some TAM researchers have suggested that the inclusion of attitude is not meaningful, we argue that attitude should continue to be used in subsequent research.
临床影像学在疾病诊断和患者护理中发挥着不可或缺的作用。护士等医疗保健专业人员掌握放射检查申请和图像解读方面的技能和知识是有益的,因为这种角色扩展能提供更个性化的患者护理并简化服务流程。本研究描述了一个临床影像学门户网站的开发,以促进图像解读方面的自主学习,并基于技术接受模型(TAM)探讨了影响使用该门户网站意愿的因素,将计算机自我效能结构作为外部变量。128名护理专业学生参与了这项调查研究,结果表明该门户网站被认为易于使用、有用且令人满意。结构方程模型(SEM)显示,对使用该门户网站的态度对使用行为意愿的总体影响最强,其次是感知易用性和计算机自我效能。尽管一些TAM研究人员认为纳入态度并无意义,但我们认为在后续研究中应继续使用态度这一变量。