Department of Health Policy and Administration, Pennsylvania State University, State College, Pennsylvania, USA.
Penn State Cancer Institute, Hershey, Pennsylvania, USA.
Health Serv Res. 2023 Aug;58(4):828-843. doi: 10.1111/1475-6773.14076. Epub 2022 Oct 12.
To examine the association of higher emergency department (ED) census with inpatient outcomes on the day of discharge (inpatient length of stay, in-hospital mortality, ED revisits, and readmissions).
All-payer ED and inpatient discharge data and hospital characteristics data from all non-federal, general, and acute care hospitals in the state of California from October 1, 2015 to December 31, 2017.
In retrospective data analysis, we examined whether ED census was associated with inpatient outcomes for all inpatients, including those not admitted through the ED. The main predictor variable was ED census on day of discharge, categorized based on hospital year and day of week. Separate linear regression models with robust SEs and hospital fixed effects examined the association of ED census on inpatient outcomes (length of stay, 3-day ED revisit, 30-day all-cause readmission, in-hospital mortality), controlling for patient and visit-level factors. We stratified analyses by whether admission was elective or unscheduled.
Inpatient discharges in non-federal, general medical hospitals with EDs.
We examined 5,784,253 discharges. The adjusted model showed that, compared to when the ED was below the median, higher ED census on the day of discharge was associated with longer inpatient length of stay, lower readmissions, and higher in-hospital mortality (90th percentile for length of stay: +0.8% [95% confidence interval, CI: +0.6% to +1.1%]; readmissions: -0.59 percentage points [or -5.6%] [95% CI: -0.0071 to -0.0048]; mortality: +0.14 percentage points [or +5.4%] [95% CI: +0.0009 to +0.0018]). [Correction added on 18 November 2022, after first online publication: '[odds rato, OR -5.6%]' and '[OR +5.4%]' of the preceding sentence have been corrected to '[or -5.6%]' and '[or +5.4%]', respectively, in this version.] Results for length of stay were primarily driven by patients with elective admissions, while results for readmissions and in-hospital mortality were primarily driven by patients with unscheduled admissions.
This study suggests that ED crowding may affect inpatients throughout the hospital, even patients who are already admitted to the hospital.
探讨较高的急诊部(ED)患者量与出院日(住院时间、院内死亡率、ED 复诊和再入院)的住院患者结局之间的关系。
2015 年 10 月 1 日至 2017 年 12 月 31 日,来自加利福尼亚州所有非联邦、普通和急性护理医院的所有患者的支付者 ED 和住院患者出院数据以及医院特征数据。
在回顾性数据分析中,我们检查了 ED 患者量是否与所有住院患者的住院患者结局相关,包括那些未通过 ED 入院的患者。主要预测变量是基于医院年份和周几的出院日 ED 患者量。使用稳健标准误和医院固定效应的单独线性回归模型,控制患者和就诊水平的因素,研究 ED 患者量对住院结局(住院时间、3 天内 ED 复诊、30 天内全因再入院、院内死亡率)的关联。我们按入院是择期还是非择期进行分层分析。
非联邦普通医疗医院 ED 的住院患者出院数据。
我们检查了 5784253 例出院患者。调整后的模型表明,与 ED 量处于中位数以下相比,出院日 ED 量较高与住院时间延长、再入院率降低和院内死亡率升高相关(住院时间第 90 个百分位数:+0.8%[95%CI:+0.6%至+1.1%];再入院率:-0.59 个百分点[或-5.6%][95%CI:-0.0071 至-0.0048];死亡率:+0.14 个百分点[或+5.4%][95%CI:+0.0009 至+0.0018])。[2022 年 11 月 18 日更正:上一句中的“[比值比,OR-5.6%]”和“[OR+5.4%]”已更正,在这个版本中分别为“[OR-5.6%]”和“[OR+5.4%]”。]住院时间的结果主要由择期入院的患者驱动,而再入院和院内死亡率的结果主要由非择期入院的患者驱动。
这项研究表明,ED 拥堵可能会影响整个医院的住院患者,甚至是已经住院的患者。