评估坦桑尼亚电子卫生系统可用性中环境问题的影响

Karisha Kavuta, Simon Msanjila, Nima Shidende
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引用次数: 0

摘要

在许多国家,卫生保健机构采用电子卫生系统的情况迅速增加。然而,主要的挑战是所采用的系统的可用性的质量和水平,挑战的复杂程度因国家而异,视具体情况而定。可用性还与上下文问题有关,这直接影响到在类似系统上决定提供服务的方法。本研究的重点是通过坦桑尼亚的一个案例研究,评估上下文问题对适用于评估电子卫生系统可用性的指标的影响。本研究的结果通过定量方法得到,并通过结构方程建模(SEM)进行分析,使用AMOS和SPSS应用程序。从这项研究中可以明显看出,上下文因素,如用户特征、目标和任务、技术环境、物理环境、资源和技术,显著影响对电子卫生系统评估很重要的可用性指标。本研究确定的电子卫生系统可用性指标包括导航可见性、可访问性、感知易用性、纠错、内部协作、信息质量、外部协作、技术质量、指导和支持以及感知效益。该研究还揭示了电子健康系统的可用性评估应该考虑通用指标和特定指标,以揭示一般信息系统和健康环境特定的可用性问题
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Assessment of the Influence of Contextual Issues in Evaluating eHealth Systems Usability in Tanzania
The adoption of eHealth systems in healthcare facilities has rapidly increased in many countries. However, the main challenge has been the quality and level of usability of those adopted systems, and the complexity of the challenge varies from one country to another based on contextual issues. Usability is also linked to contextual issues, which have a direct impact on deciding the methods for providing services on similar systems. This research focuses on assessing the influence of contextual issues on metrics that are applicable for evaluating the usability of eHealth systems through a case study of Tanzania. The findings of this research were obtained through the quantitative method, and the analysis was performed through structural equation modelling (SEM) using AMOS and SPSS applications. It is evident from this research that contextual factors, such as user characteristics, goals and tasks, technical environment, physical environment, and resources and technology, significantly impact the usability metrics that are important to the evaluation of eHealth systems. The usability metrics for eHealth systems identified in this research include navigation visibility, accessibility, perceived ease of use, error correction, internal collaboration, information quality, external collaboration, technical quality, guide and support, and perceived benefits. This study also revealed that the usability evaluation of eHealth systems should consider both common metrics and specific metrics in order to uncover both general information system and health context-specific usability issues
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