AlSerkal Yousif, AlBlooshi Kalthoom, AlBlooshi Sumaya, Khan Yasir, Naqvi Sadaf A, Fincham Colin, AlMehiri Noor
Hospital Sector, Ministry of Health and Prevention, Dubai, United Arab Emirates.
Hospital Department, Ministry of Health and Prevention, Dubai, United Arab Emirates.
Open Access Emerg Med. 2020 Dec 1;12:427-434. doi: 10.2147/OAEM.S263805. eCollection 2020.
The Ministry of Health and Prevention of the UAE acquired an electronic medical record system (Wareed) through which they incorporated the Emergency Severity Index as the standard triaging tool. This raised the need to review population dynamics and the accuracy of triage performed by the health-care providers utilizing the tool.
This research aimed to study demographics and dynamics of the population presenting to emergency departments (EDs) during 2018, evaluate the accuracy of triage assessment using comparative analysis techniques, and determine relationships between patient factors (severity of illness, age-group) and the accuracy of triage.
This was an observational study that aimed to ascertain findings from ED data over 1 year (January 2018-December 2018) and explore factors associated with reduced accuracy in acuity assignment. We employed comparative analysis to measure the level of agreement between standard guidelines and local findings.
A total of 576,154 patients visited EDs in 2018, of which 54.4% were male. A statistically significant increase in length of stay with increasing severity of illness was observed (Kruskal-Wallis test). Overall triage accuracy was 41.6%, with a positive association with increasing severity of illness. We found a positive association between severity of illness and accuracy of triage (OR 0.14, =0). We also found on logistic regression that the age-group 11-20 years had the highest probability of accurate triage acuity ( =0.41, =0).
Conducted on a very large data set from the UAE, our study reflects upon population dynamics and triage accuracy distribution among different variables. This study paves the way for further in-depth analysis of factors that may impact triage accuracy within EDs, and utilizing a similar approach it can be replicated in other settings as well.
阿联酋卫生与预防部购置了一套电子病历系统(Wareed),并将急诊严重程度指数作为标准分诊工具纳入其中。这就需要对人群动态以及使用该工具的医护人员进行分诊的准确性进行评估。
本研究旨在调查2018年前往急诊科(ED)就诊人群的人口统计学特征和动态变化,运用比较分析技术评估分诊评估的准确性,并确定患者因素(疾病严重程度、年龄组)与分诊准确性之间的关系。
这是一项观察性研究,旨在确定1年(2018年1月至2018年12月)急诊科数据的研究结果,并探索与 acuity 分配准确性降低相关的因素。我们采用比较分析来衡量标准指南与当地研究结果之间的一致性水平。
2018年共有576,154名患者前往急诊科就诊,其中54.4%为男性。观察到住院时间随疾病严重程度增加而有统计学意义的增加(Kruskal-Wallis检验)。总体分诊准确率为41.6%,与疾病严重程度增加呈正相关。我们发现疾病严重程度与分诊准确性之间存在正相关(OR 0.14,=0)。我们还通过逻辑回归发现,11至20岁年龄组的分诊 acuity 准确概率最高(=0.41,=0)。
我们的研究基于阿联酋的一个非常大的数据集进行,反映了不同变量之间的人群动态和分诊准确性分布。本研究为进一步深入分析可能影响急诊科分诊准确性的因素铺平了道路,并且采用类似方法也可在其他环境中进行复制。