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Validity of the Electronic Triage System in Predicting Patient Outcomes in Tabriz, Iran: A Cross-Sectional Study

机译:电子分流系统在预测伊朗大不里士患者结果中的有效性:一项跨部门研究

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Objective: To validate the triage ratings performed by the Electronic Triage System (ETS) using hospitalization, length of stay, resource use, in-hospital mortality and patient bills as outcome measures. Methods: In this retrospective cross-sectional study the medical records of 387 patients were reviewed in a one-week period. The data included triage category and the outcome measures were hospitalization, length of stay, in-hospital mortality, patient bill, and used resources. The association between the triage category and hospitalization and death was assessed. The association between the triage category and the number of resources, length of stay, and the bill was also assessed. Results: The mean age of the patients was 43.65 ±21.17 years. Women comprised 40% (n=155) of 387 people who were included in the study. The frequency of Emergency Severity Index (ESI) 1, 2, 3, 4 and 5 categories were 18, 61, 127, 181 and 0 respectively. Phi and Cramer’s V for hospitalization and death were 0.365 ( p &0.001) and 0.305 ( p &0.001). Spearman's rho for bill, length of stay, and resource use were -0.483 ( p &0.001), -0.228 ( p &0.001) and -0.490 ( p &0.001). The association between triage category and resource consumption was stronger than other outcomes. Conclusion: The ETS was valid in predicting all studied patient outcomes. The ETS has also the advantages of providing quick reports, giving feedback and providing data for research purposes.
机译:目的:使用住院,住院时间,资源使用,医院内死亡率和患者账单作为结果指标,验证电子分诊系统(ETS)进行的分诊评分。方法:在这项回顾性横断面研究中,在一周内对387例患者的病历进行了回顾。数据包括分类分类,结果指标为住院,住院时间,住院死亡率,患者账单和使用的资源。评估了分类分类与住院和死亡之间的关联。分流分类与资源数量,停留时间和账单之间的关联也得到了评估。结果:患者的平均年龄为43.65±21.17岁。在这项研究中,在387人中,女性占40%(n = 155)。紧急程度指数(ESI)1、2、3、4和5的频率分别为18、61、127、181和0。 Phi和Cramer的住院和死亡V值分别为0.365(p <0.001)和0.305(p <0.001)。 Spearman的账单,停留时间和资源使用的rho为-0.483(p <0.001),-0.228(p& 0.001)和-0.490(p& 0.001)。分诊类别与资源消耗之间的关联性强于其他结果。结论:ETS可有效预测所有研究的患者预后。 ETS还具有提供快速报告,提供反馈和提供用于研究目的的数据的优势。

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