University of Massachusetts Medical School, Department of Emergency Medicine, Worcester, Massachusetts.
University of Colorado School of Medicine, Department of Emergency Medicine, Aurora, Colorado.
West J Emerg Med. 2023 Jan 31;24(2):178-184. doi: 10.5811/westjem.2022.10.56609.
Prolonged emergency department (ED) length of stay (LOS) has been shown to adversely affect patient care. We sought to determine factors associated with ED LOS via analysis of a large, national, ED operations database.
We performed retrospective, multivariable, linear regression modeling using the 2019 Emergency Department Benchmarking Alliance survey results to identify associated factors of ED LOS for admitted and discharged patients.
A total of 1,052 general and adult-only EDs responded to the survey. Median annual volume was 40,946. The median admit and discharge LOS were 289 minutes and 147 minutes, respectively. R-squared values for the admit and discharge models were 0.63 and 0.56 with out-of-sample R-squared values of 0.54 and 0.59, respectively. Both admit and discharge LOS were associated with academic designation, trauma level designation, annual volume, proportion of ED arrivals occurring via emergency medical services, median boarding, and use of a fast track. Additionally, admit LOS was associated with transfer-out percentage, and discharge LOS was associated with percentage of high Current Procedural Terminology, percentage of patients <18 years old, use of radiographs and computed tomography, and use of an intake physician.
Models derived from a large, nationally representative cohort identified diverse associated factors of ED length of stay, several of which were not previously reported. Dominant within the LOS modeling were patient population characteristics and other factors extrinsic to ED operations, including boarding of admitted patients, which was associated with both admitted and discharged LOS. The results of the modeling have significant implications for ED process improvement and appropriate benchmarking.
延长急诊部门(ED)的停留时间(LOS)已被证明会对患者护理产生不利影响。我们试图通过分析一个大型的全国性 ED 运营数据库,确定与 ED LOS 相关的因素。
我们使用 2019 年急诊部基准联盟调查结果进行回顾性、多变量线性回归建模,以确定住院和出院患者 ED LOS 的相关因素。
共有 1052 家普通和成人专用 ED 对调查做出了回应。年度中位数容量为 40946。中位数入院和出院 LOS 分别为 289 分钟和 147 分钟。入院和出院模型的 R 平方值分别为 0.63 和 0.56,样本外 R 平方值分别为 0.54 和 0.59。入院和出院 LOS 均与学术指定、创伤级别指定、年度容量、通过紧急医疗服务到达 ED 的比例、中位数滞留和使用快速通道相关。此外,入院 LOS 与转院百分比相关,而出院 LOS 与高现行程序术语百分比、<18 岁患者百分比、使用 X 光和计算机断层扫描以及使用入院医师相关。
从大型全国代表性队列中得出的模型确定了 ED 停留时间的多种相关因素,其中一些以前没有报道过。在 LOS 建模中占主导地位的是患者人群特征和 ED 运营以外的其他因素,包括住院患者的滞留,这与入院和出院 LOS 都相关。建模的结果对 ED 流程改进和适当的基准测试具有重要意义。