Department of Emergency Medicine, Inselspital, University Hospital, University of Bern, Bern, Switzerland.
Institute of Health Economics and Clinical Epidemiology, University Hospital of Cologne, Cologne, Germany.
PLoS One. 2021 Feb 19;16(2):e0247244. doi: 10.1371/journal.pone.0247244. eCollection 2021.
Emergency Department (ED) visits and health care costs are increasing globally, but little is known about contributing factors of ED resource consumption. This study aims to analyse and to predict the total ED resource consumption out of the patient and consultation characteristics in order to execute performance analysis and evaluate quality improvements.
Characteristics of ED visits of a large Swiss university hospital were summarized according to acute patient condition factors (e.g. chief complaint, resuscitation bay use, vital parameter deviations), chronic patient conditions (e.g. age, comorbidities, drug intake), and contextual factors (e.g. night-time admission). Univariable and multivariable linear regression analyses were conducted with the total ED resource consumption as the dependent variable.
In total, 164,729 visits were included in the analysis. Physician resources accounted for the largest proportion (54.8%), followed by radiology (19.2%), and laboratory work-up (16.2%). In the multivariable final model, chief complaint had the highest impact on the total ED resource consumption, followed by resuscitation bay use and admission by ambulance. The impact of age group was small. The multivariable final model was validated (R2 of 0.54) and a scoring system was derived out of the predictors.
More than half of the variation in total ED resource consumption can be predicted by our suggested model in the internal validation, but further studies are needed for external validation. The score developed can be used to calculate benchmarks of an ED and provides leaders in emergency care with a tool that allows them to evaluate resource decisions and to estimate effects of organizational changes.
全球范围内,急诊科(ED)就诊次数和医疗保健费用都在不断增加,但对于导致 ED 资源消耗的因素知之甚少。本研究旨在分析和预测患者和就诊特征对 ED 资源总消耗的影响,以便进行绩效分析和评估质量改进。
根据急性患者病情因素(如主要症状、复苏室使用、生命体征偏差)、慢性患者病情(如年龄、合并症、药物使用)和环境因素(如夜间入院)总结了一家瑞士大型大学医院的 ED 就诊特征。将 ED 资源总消耗作为因变量进行单变量和多变量线性回归分析。
共纳入 164729 次就诊。医师资源占比最大(54.8%),其次是放射科(19.2%)和实验室检查(16.2%)。在多变量最终模型中,主要症状对 ED 资源总消耗的影响最大,其次是复苏室使用和救护车入院。年龄组的影响较小。多变量最终模型得到验证(R2 为 0.54),并从预测因素中得出了评分系统。
在内部验证中,我们提出的模型可以预测 ED 资源总消耗的 50%以上的变异,但需要进一步的外部验证研究。所开发的评分可用于计算 ED 的基准,并为急救护理领域的领导者提供一种工具,使他们能够评估资源决策,并估计组织变革的效果。