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修订版瑞士急救分类量表的可靠性:计算机模拟研究。

Reliability of the revised Swiss Emergency Triage Scale: a computer simulation study.

机构信息

Department of Community, Primary Care and Emergency Medicine, Division of Emergency Medicine.

Department of Interdisciplinary Centers and Medical Logistics, Division of Emergency Medicine, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland.

出版信息

Eur J Emerg Med. 2018 Aug;25(4):264-269. doi: 10.1097/MEJ.0000000000000449.

Abstract

BACKGROUND

The Swiss Emergency Triage Scale (SETS) is a four-level emergency scale that previously showed moderate reliability and high rates of undertriage due to a lack of standardization. It was revised to better standardize the measurement and interpretation of vital signs during the triage process.

OBJECTIVE

The aim of this study was to explore the inter-rater and test-retest reliability, and the rate of correct triage of the revised SETS.

PATIENTS AND METHODS

Thirty clinical scenarios were evaluated twice at a 3-month interval using an interactive computerized triage simulator by 58 triage nurses at an urban teaching emergency department admitting 60 000 patients a year. Inter-rater and test-retest reliabilities were determined using κ statistics. Triage decisions were compared with a gold standard attributed by an expert panel. Rates of correct triage, undertriage, and overtriage were computed. A logistic regression model was used to identify the predictors of correct triage.

RESULTS

A total of 3387 triage situations were analyzed. Inter-rater reliability showed substantial agreement [mean κ: 0.68; 95% confidence interval (CI): 0.60-0.78] and test-retest almost perfect agreement (mean κ: 0.86; 95% CI: 0.84-0.88). The rate of correct triage was 84.1%, and rates of undertriage and overtriage were 7.2 and 8.7%, respectively. Vital sign measurement was an independent predictor of correct triage (odds ratios for correct triage: 1.29 for each additional vital sign measured, 95% CI: 1.20-1.39).

CONCLUSION

The revised SETS incorporating standardized vital sign measurement and interpretation during the triage process resulted in high reliability and low rates of mistriage.

摘要

背景

瑞士急救分类量表(SETS)是一个四级急救分类量表,由于缺乏标准化,其之前的可靠性为中等,且过度分类的比例较高。该量表经过修订,以更好地规范在分诊过程中对生命体征的测量和解读。

目的

本研究旨在探讨修订版 SETS 的组内和重测信度,以及正确分诊的比例。

患者和方法

3 个月间隔内,58 名分诊护士使用城市教学急诊室的交互式计算机分诊模拟器评估了 30 个临床场景,该急诊室每年接诊 6 万例患者。使用 κ 统计量评估组内和重测信度。将分诊决策与专家小组确定的金标准进行比较。计算正确分诊、分诊不足和分诊过度的比例。使用逻辑回归模型确定正确分诊的预测因素。

结果

共分析了 3387 次分诊情况。组内信度显示出高度一致性(平均 κ:0.68;95%置信区间 [CI]:0.60-0.78),重测信度几乎为完美一致(平均 κ:0.86;95% CI:0.84-0.88)。正确分诊的比例为 84.1%,分诊不足和过度分诊的比例分别为 7.2%和 8.7%。生命体征测量是正确分诊的独立预测因素(正确分诊的比值比:每增加一个测量的生命体征,95% CI:1.20-1.39)。

结论

在分诊过程中纳入标准化的生命体征测量和解读的修订版 SETS 可实现高可靠性和低误诊率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c07a/6039392/b13ff1c12c0b/mej-25-264-g005.jpg

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