Department of Information Systems, College of Computer Science and Information Technology, King Faisal University, Al Ahsa 31982, Saudi Arabia.
Int J Environ Res Public Health. 2023 Feb 10;20(4):3132. doi: 10.3390/ijerph20043132.
This research aims to identify the technological and non-technological factors influencing user acceptance of the CDSS in a group of healthcare facilities in Saudi Arabia. The study proposes an integrated model that indicates the factors to be considered when designing and evaluating CDSS. This model is developed by integrating factors from the "Fit between Individuals, Task, and Technology" (FITT) framework into the three domains of the human, organization, and technology-fit (HOT-fit) model. The resulting FITT-HOT-fit integrated model was tested using a quantitative approach to evaluate the currently implemented CDSS as a part of Hospital Information System BESTCare 2.0 in the Saudi Ministry of National Guard Health Affairs. For data collection, a survey questionnaire was conducted at all Ministry of National Guard Health Affairs hospitals. Then, the collected survey data were analyzed using Structural Equation Modeling (SEM). This analysis included measurement instrument reliability, discriminant validity, convergent validity, and hypothesis testing. Moreover, a CDSS usage data sample was extracted from the data warehouse to be analyzed as an additional data source. The results of the hypotheses test show that usability, availability, and medical history accessibility are critical factors influencing user acceptance of CDSS. This study provides prudence about healthcare facilities and their higher management to adopt CDSS.
本研究旨在确定影响沙特阿拉伯一组医疗保健机构用户对 CDSS 接受程度的技术和非技术因素。该研究提出了一个综合模型，指出了在设计和评估 CDSS 时需要考虑的因素。该模型通过将“个体、任务和技术之间的适配性”（FITT）框架中的因素整合到人、组织和技术适配性（HOT-fit）模型的三个领域中，开发而成。使用定量方法测试了由此产生的 FITT-HOT-fit 综合模型，以评估沙特国民卫队卫生部当前实施的 CDSS 作为其医院信息系统 BESTCare 2.0 的一部分。为了收集数据，在沙特国民卫队卫生部的所有医院进行了问卷调查。然后，使用结构方程建模（SEM）对收集到的调查数据进行了分析。该分析包括测量仪器的可靠性、判别有效性、收敛有效性和假设检验。此外，还从数据仓库中提取了 CDSS 使用数据样本进行分析，作为附加数据源。假设检验的结果表明，可用性、可及性和病史可访问性是影响用户对 CDSS 接受程度的关键因素。本研究为医疗保健机构及其高层管理人员提供了采用 CDSS 的审慎意见。
