Bergs Jochen, Verelst Sandra, Gillet Jean-Bernard, Vandijck Dominique
Hasselt, Leuven, and Ghent, Belgium.
Hasselt, Leuven, and Ghent, Belgium.
J Emerg Nurs. 2014 Nov;40(6):592-7. doi: 10.1016/j.jen.2014.01.006. Epub 2014 Mar 12.
Triage aims to categorize patients based on their clinical need and the available departmental resources. To accomplish this goal, one needs to ensure that the implemented triage system is reliable and that staff use it correctly. Therefore this study assessed the ability of Belgium nurses to apply the Emergency Severity Index (ESI), version 4, to hypothetical case scenarios after an educational intervention.
An ESI educational intervention was implemented in accordance with the ESI manual. Using paper case scenarios, nurses' interrater agreement was assessed by comparing triage nurse ESI levels with the reference answers noted in the implementation manual. Interrater agreement was measured by the percentage of agreement and Cohen's κ coefficient using different weighting schemes.
Overall, 77.5% of the scenario cases were coded according the ESI guidelines, resulting in a good interrater agreement (κ = 0.72, linear weighted κ = 0.84, quadratic weighted κ = 0.92, and triage-weighted scheme = 0.79). Interrater agreement varied when evaluating each ESI level separately. Undertriage was more common than overtriage. The highest misclassification range (37.8%) occurred in ESI level 2 scenarios, with 99.2% of the misclassifications being undertriaged.
Implementation of the ESI into a novel setting guided by a locally developed training program resulted in suboptimal interrater agreement. Existing weighted κ schemes overestimated the interrater agreement between the triage nurse-assigned ESI level and the reference standard. By providing an aggregated measure of agreement, which allows partial agreement, clinically significant misclassification was masked by a misleading "good" interrater agreement.
分诊旨在根据患者的临床需求和可用的科室资源对患者进行分类。为实现这一目标,需要确保所实施的分诊系统可靠且工作人员正确使用它。因此,本研究评估了比利时护士在接受教育干预后,将第4版紧急严重程度指数(ESI)应用于假设病例情景的能力。
根据ESI手册实施ESI教育干预。使用纸质病例情景,通过将分诊护士的ESI级别与实施手册中记录的参考答案进行比较,评估护士之间的评分者间一致性。使用不同的加权方案,通过一致性百分比和科恩κ系数来衡量评分者间一致性。
总体而言,77.5%的情景病例根据ESI指南进行了编码,从而产生了良好的评分者间一致性(κ = 0.72,线性加权κ = 0.84,二次加权κ = 0.92,分诊加权方案 = 0.79)。分别评估每个ESI级别时,评分者间一致性有所不同。低分诊比高分诊更常见。最高的错误分类范围(37.8%)出现在ESI 2级情景中,其中99.2%的错误分类为低分诊。
在当地制定的培训计划指导下,将ESI应用于新环境中导致了次优的评分者间一致性。现有的加权κ方案高估了分诊护士指定的ESI级别与参考标准之间的评分者间一致性。通过提供一个允许部分一致性的一致性汇总度量,具有临床意义的错误分类被误导性的“良好”评分者间一致性所掩盖。