BMC Nursing | |
Effect of problem-based learning on severity classification agreement by triage nurses | |
Kyoung Jun Song1  Kyeongmin Jang2  Eunmi Jo3  | |
[1] Department of Emergency Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul National University College of Emergency Medicine, Seoul, Korea;Department of Nursing, Bucheon University, 56, Sosa-ro, Bucheon-si, Gyeonggi-do, Republic of Korea;Department of Nursing, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, 20 Boramae-ro 5-gil, Dongjak-gu, 07061, Seoul, Korea; | |
关键词: Triage; Problem-based learning; Length of stay; Emergency department; Patient safety; | |
DOI : 10.1186/s12912-021-00781-2 | |
来源: Springer | |
【 摘 要 】
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.
【 授权许可】
CC BY
【 预 览 】
Files | Size | Format | View |
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RO202203042912888ZK.pdf | 912KB | download |