Abstract
BackgroundDifferences in the classification results among triage nurses in the emergency room can be improved by training or applying an algorithm. This study aimed to confirm whether the agreement among triage nurses could be improved through learner-led problem-based learning.MethodsThis study had a single-group time series design to investigate the effect of problem-based learning led by triage nurses on the agreement of Korean Triage and Acuity Scale classification results for patients who visited the emergency department. We extracted 300 patients each in May and August 2018 before learning began and 300 patients each in May and August 2019 after learning.ResultsAfter problem-based learning was applied, the self-efficacy of triage nurses for emergency patient classification increased statistically significantly compared to before learning (7.88 ± 0.96, p < .001), and the weighted kappa coefficient was also found to be almost perfectly agreement (0.835, p < .001).ConclusionsIn this study, problem-based learning improved the inter-rater agreement of Korean Triage and Acuity Scale classification results and self-efficacy of triage nurses. Therefore, problem-based learning can contribute to patient safety in the emergency department by enhancing the expertise of triage nurses and increasing the accuracy of triage classification.
Highlights
Differences in the classification results among triage nurses in the emergency room can be improved by training or applying an algorithm
According to statistics released by the National Emergency Medical Center in Korea in 2019, more than 10 million patients visited the emergency department (ED) during 2018, which was more than 20% higher than that in 2008 as a result, ED overcrowding is increasing [1]
General characteristics of study patients and triage nurses according to investigation time Homogeneity test was performed for general characteristics of study patients and triage nurses at the time of the investigation
Summary
Differences in the classification results among triage nurses in the emergency room can be improved by training or applying an algorithm. As the number of patients who visited the ED increases, ED overcrowding has been pointed out as one of the most important problems [2]. One of the most important ways to relieve ED overcrowding is by reducing the Classifying the severity appropriately through initial assessment of patients visiting the ED is a process of determining where to receive treatment [7]. Triage nurses in charge of initial assessment in the ED should quickly and appropriately categorize the severity of patients visiting the ED. This is one of the most important tasks of ED triage nurses [9]
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