Perlman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Operations & Information Management Department, Wisconsin School of Business, University of Wisconsin-Madison, Madison, WI.
Am J Emerg Med. 2014 Apr;32(4):342-5. doi: 10.1016/j.ajem.2013.12.047. Epub 2014 Jan 3.
Although several studies have demonstrated that wait time is a key factor that drives high leave-without-being-seen (LWBS) rates, limited data on ideal wait times and impact on LWBS rates exist.
We studied the LWBS rates by triage class and target wait times required to achieve various LWBS rates.
We conducted a 3-year retrospective analysis of patients presenting to an urban, tertiary, academic, adult emergency department (ED). We divided the 3-year study period into 504 discrete periods by year, day of the week, and hour of the day. Patients of same triage level arriving in the same bin were exposed to similar ED conditions. For each bin, we calculate the mean actual wait time and the proportion of patients that abandoned. We performed a regression analysis on the abandonment proportion on the mean wait time using weighted least squares regression.
A total of 143,698 patients were included for analysis during the study period. The R(2) value was highest for Emergency Severity Index (ESI) 3 (R(2) = 0.88), suggesting that wait time is the major factor driving LWBS of ESI 3 patients. Assuming that ESI 2 patients wait less than 10 minutes, our sensitivity analysis shows that the target wait times for ESI 3 and ESI 4/5 patients should be less than 45 and 60 minutes, respectively, to achieve an overall LWBS rate of less than 2%.
Achieving target LWBS rates requires analysis to understand the abandonment behavior and redesigning operations to achieve the target wait times.
尽管已有多项研究表明等待时间是导致高“未就诊离院”(LWBS)率的关键因素,但关于理想等待时间和其对 LWBS 率的影响的数据有限。
我们研究了不同分诊级别患者的 LWBS 率,以及实现不同 LWBS 率所需的目标等待时间。
我们对一家城市三级学术成人急诊部的患者进行了为期 3 年的回顾性分析。我们将 3 年的研究期间分为 504 个离散时段,按年、周和日以及小时划分。处于同一分诊级别的患者在同一时间段内进入急诊部,所面临的急诊条件相似。对于每个时间段,我们计算了平均实际等待时间和放弃就诊的患者比例。我们使用加权最小二乘法回归对放弃就诊比例与平均等待时间进行回归分析。
在研究期间,共有 143698 名患者纳入分析。紧急严重程度指数(ESI)3 的 R²值最高(R²=0.88),表明等待时间是导致 ESI 3 患者 LWBS 的主要因素。假设 ESI 2 患者的等待时间少于 10 分钟,我们的敏感性分析表明,ESI 3 和 ESI 4/5 患者的目标等待时间应分别少于 45 分钟和 60 分钟,以实现总体 LWBS 率低于 2%。
要实现目标 LWBS 率,需要进行分析以了解患者的放弃就诊行为,并重新设计操作以达到目标等待时间。