Department of Systems and Information Engineering, School of Engineering, University of Virginia, Charlottesville, VA, USA.
University of Virginia Health System, Charlottesville, VA, USA.
J Healthc Eng. 2017;2017:9626918. doi: 10.1155/2017/9626918. Epub 2017 Aug 3.
In the United States, emergency departments (EDs) are constantly pressured to improve operational efficiency and quality in order to gain financial benefits and maintain a positive reputation.
The first objective is to evaluate how efficiently EDs transform their input resources into quality outputs. The second objective is to investigate the relationship between the efficiency and quality performance of EDs and the factors affecting this relationship.
Using two data sources, we develop a data envelopment analysis (DEA) model to evaluate the relative efficiency of EDs. Based on the DEA result, we performed multinomial logistic regression to investigate the relationship between ED efficiency and quality performance.
The DEA results indicated that the main source of inefficiencies was working hours of technicians. The multinomial logistic regression result indicated that the number of electrocardiograms and X-ray procedures conducted in the ED and the length of stay were significantly associated with the trade-offs between relative efficiency and quality. Structural ED characteristics did not influence the relationship between efficiency and quality.
Depending on the structural and operational characteristics of EDs, different factors can affect the relationship between efficiency and quality.
在美国，急诊科（ED）不断面临提高运营效率和质量的压力，以获得经济效益并保持良好声誉。
第一个目标是评估急诊科如何有效地将其投入资源转化为高质量的产出。第二个目标是研究急诊科效率和质量绩效之间的关系以及影响这种关系的因素。
使用两个数据源，我们开发了一个数据包络分析（DEA）模型来评估急诊科的相对效率。基于 DEA 的结果，我们进行了多项逻辑回归，以研究急诊科效率和质量绩效之间的关系。
DEA 结果表明，效率低下的主要原因是技术人员的工作时间。多项逻辑回归结果表明，ED 中进行的心电图和 X 光检查次数以及住院时间与相对效率和质量之间的权衡有显著关联。急诊科的结构性特征并不影响效率和质量之间的关系。
根据急诊科的结构和运营特点，不同的因素可能会影响效率和质量之间的关系。
