Dong Sandy L, Bullard Michael J, Meurer David P, Colman Ian, Blitz Sandra, Holroyd Brian R, Rowe Brian H
Department of Emergency Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada.
Acad Emerg Med. 2005 Jun;12(6):502-7. doi: 10.1197/j.aem.2005.01.005.
Emergency department (ED) triage prioritizes patients based on urgency of care; however, little previous testing of triage tools in a live ED environment has been performed.
To determine the agreement between a computer decision tool and memory-based triage.
Consecutive patients presenting to a large, urban, tertiary care ED were assessed in the usual fashion and by a blinded study nurse using a computerized decision support tool. Triage score distribution and agreement between the two triage methods were reported. A random subset of patients was selected and reviewed by a blinded expert panel as a consensus standard.
Over five weeks, 722 ED patients were assessed; complete data were available from 693 (96%) score pairs. Agreement between the two methods was poor (kappa = 0.202; 95% confidence interval [95% CI] = 0.150 to 0.254); however, agreement improved when using weighted kappa (0.360; 95% CI = 0.305 to 0.415) or "within one" level kappa (0.732; 95% CI = 0.644 to 0.821). When compared with the expert panel, the nurse triage scores showed lower agreement (0.263; 95% CI = 0.133 to 0.394) than the tool (kappa = 0.426; 95% CI = 0.289 to 0.564). There was a significant down-triaging of patients when patients were triaged without the computerized tool. Admission rates also differed between the triage systems.
There was significant discrepancy by nurses using memory-based triage when compared with a computer tool. Triage decision support tools can mitigate this drift, which has administrative implications for EDs.
急诊科分诊根据护理的紧急程度对患者进行优先排序;然而,此前很少在真实的急诊科环境中对分诊工具进行测试。
确定计算机决策工具与基于记忆的分诊之间的一致性。
以常规方式对连续就诊于一家大型城市三级护理急诊科的患者进行评估,并由一名盲法研究护士使用计算机决策支持工具进行评估。报告分诊分数分布以及两种分诊方法之间的一致性。选择患者的一个随机子集,由一个盲法专家小组进行审查作为共识标准。
在五周内,对722名急诊科患者进行了评估;693对(96%)分数对有完整数据。两种方法之间的一致性较差(kappa = 0.202;95%置信区间[95%CI] = 0.150至0.254);然而,使用加权kappa(0.360;95%CI = 0.305至0.415)或“相差一级”kappa(0.732;95%CI = 0.644至0.821)时一致性有所改善。与专家小组相比,护士分诊分数显示出的一致性(0.263;95%CI = 0.133至0.394)低于工具(kappa = 0.426;95%CI = 0.289至0.564)。在没有计算机工具的情况下对患者进行分诊时,患者被显著降低了分诊级别。分诊系统之间的入院率也有所不同。
与计算机工具相比,护士使用基于记忆的分诊存在显著差异。分诊决策支持工具可以减轻这种偏差,这对急诊科具有管理意义。