Kremer Lisanne, Leeser Lea, Breil Bernhard
Hochschule Niederrhein, University of Applied Sciences.
Stud Health Technol Inform. 2019 Sep 3;267:289-296. doi: 10.3233/SHTI190840.
Assessing Mental Workload related to Health Information Systems can help to analyze weak points of the use of Health Information Systems and in health care work processes. Our objectives were to give an overview of current research and applied measurement methods as well as gaining insights into influencing factors of mental workload on the use of health information systems and vice versa.
We applied a structured literature research by searching for "mental workload" on PubMed. Studies were included into our review if they assessed related to Health Information Systems.
The research in PubMed led to 124 articles, resulting in 17 papers taken into in-depth analyses. We identified three categories referring to different study design types. Additionally, articles showed that mental workload was influenced by using health information systems and vice versa.
The review was limited to only one database but revealed that future research with sociotechnical focus including mental workload is necessary.
In contrast to the high relevance only a few articles address mental workload in Health Information systems. The quality of the studies in terms of evidence and external validity appears to be largely in need of development and should be improved in ongoing research.
评估与健康信息系统相关的心理负荷有助于分析健康信息系统使用过程以及医疗工作流程中的薄弱环节。我们的目标是概述当前的研究及应用的测量方法,同时深入了解健康信息系统使用过程中心理负荷的影响因素,反之亦然。
我们通过在PubMed上搜索“心理负荷”进行了结构化文献研究。如果研究评估了与健康信息系统相关的内容,则纳入我们的综述。
PubMed上的研究产生了124篇文章,最终17篇论文被纳入深入分析。我们确定了三类不同的研究设计类型。此外,文章表明,使用健康信息系统会影响心理负荷,反之亦然。
该综述仅限于一个数据库,但表明未来有必要开展以社会技术为重点、包括心理负荷的研究。
与高相关性形成对比的是,仅有少数文章涉及健康信息系统中的心理负荷。这些研究在证据和外部效度方面的质量似乎在很大程度上有待提高,应在正在进行的研究中加以改进。