Predictive factors of physicians' satisfaction with telemedicine services acceptance
Predictive factors of physicians' satisfaction with telemedicine services acceptance
复制标题
医生对远程医疗服务接受度满意度的预测因素
DOI：
10.1177/1460458219892162
复制
发表时间：
2019-12-19
影响因子：
3
通讯作者：
Ernest, Oyeh
中科院分区：
文献类型：
--
作者：
Kissi, Jonathan;Dai, Baozhen;Ernest, Oyeh
尽管远程医疗服务技术有了显著的增长，但在一些医疗保健环境中，它的采用和使用一直相当缓慢。在当今全球化的世界里，人们普遍认为，远程医疗服务的成功取决于用户的满意度。让医生和患者满意是远程医疗成功的关键目标之一。本研究试图使用技术接受模型来评估医生对远程医疗服务采用和利用的满意度。在构建技术接受模型的基础上，采用结构化问卷对四个不同政府卫生机构的参与者进行了数据收集。采用目的性和方便性抽样技术，从不同的医疗领域选择卫生保健专业人员。数据分析采用结构方程模型。感知的易用性和感知的远程医疗服务的有用性被发现影响医生的行为意图。这提高了效率，提高了服务质量，提供了高质量的病人护理，并提高了医生使用远程医疗服务的满意度。我们注意到，远程医疗服务在临床环境中的采用取决于医生和患者对服务使用的满意度。这项研究通过确定影响医生远程医疗服务满意度的关键预测因素，有助于获得经验性知识。
Despite the significant increase in telemedicine services technology, its adoption and use have been quite slow in some healthcare settings. It is generally accepted in today's globalizing world that the success of telemedicine services relies on users' satisfaction. Satisfying physicians and patients is one of the crucial objectives of telemedicine success. This study seeks to evaluate physicians' satisfaction with telemedicine services adoption and utilization using the technology acceptance model. A structured questionnaire based on the construct of technology acceptance model was used to solicit for data from participants in four different government health institutions. Purposive and convenience sampling techniques were employed to select healthcare professionals from various medical fields. Structural equation modeling was utilized in the data analysis. Perceived ease of use and perceived usefulness of telemedicine services were found to influence physicians' behavioral intentions. This resulted in increased efficiency, quality of services, quality patient care delivery, and satisfaction among physicians in using telemedicine services. We noted that the adoption of telemedicine services in clinical settings depends on physicians' and patients' satisfaction with the use of the service. The study contributes to empirical knowledge by identifying the vital predictive factors affecting telemedicine services satisfaction among physicians.