Arian Zaboli , Serena Sibilio , Magdalena Massar , Gloria Brigiari , Gabriele Magnarelli , Marta Parodi , Michael Mian , Norbert Pfeifer , Francesco Brigo , Gianni Turcato
{"title":"提高分诊准确性：护理教育对风险预测的影响。","authors":"Arian Zaboli , Serena Sibilio , Magdalena Massar , Gloria Brigiari , Gabriele Magnarelli , Marta Parodi , Michael Mian , Norbert Pfeifer , Francesco Brigo , Gianni Turcato","doi":"10.1016/j.ienj.2024.101486","DOIUrl":null,"url":null,"abstract":"<div><h3>Aim</h3><p>This study aimed to compare the performance in risk prediction of various outcomes between specially trained triage nurses and the Manchester Triage System (MTS).</p></div><div><h3>Design</h3><p>Prospective observational study.</p></div><div><h3>Methods</h3><p>The study was conducted from June 1st to December 31st, 2023, at the Emergency Department of Merano Hospital. Triage nurses underwent continuous training through dedicated courses and daily audits. We compared the risk stratification performed by expert nurses with that of MTS on various outcomes such as mortality, hospitalisation, and urgency defined by the physicians. Comparisons were made using the Areas Under the Receiver Operating Characteristic curve (AUROC).</p></div><div><h3>Results</h3><p>The agreement in code classification between the MTS and the expert nurse was very low. The AUROC curve analysis showed that the expert nurse outperformed the MTS in all outcomes. The triage nurse’s experience led to statistically significant better stratification in admission rates, ICU admissions, and all outcomes based on the physician’s assessment.</p></div><div><h3>Conclusions</h3><p>The continuous training of nurses enables them to achieve better risk prediction compared to standardized triage systems like MTS, emphasizing the utility and necessity of implementing continuous training pathways for these highly specialised personnel.</p></div>","PeriodicalId":48914,"journal":{"name":"International Emergency Nursing","volume":"75 ","pages":"Article 101486"},"PeriodicalIF":1.8000,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancing triage accuracy: The influence of nursing education on risk prediction\",\"authors\":\"Arian Zaboli , Serena Sibilio , Magdalena Massar , Gloria Brigiari , Gabriele Magnarelli , Marta Parodi , Michael Mian , Norbert Pfeifer , Francesco Brigo , Gianni Turcato\",\"doi\":\"10.1016/j.ienj.2024.101486\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Aim</h3><p>This study aimed to compare the performance in risk prediction of various outcomes between specially trained triage nurses and the Manchester Triage System (MTS).</p></div><div><h3>Design</h3><p>Prospective observational study.</p></div><div><h3>Methods</h3><p>The study was conducted from June 1st to December 31st, 2023, at the Emergency Department of Merano Hospital. Triage nurses underwent continuous training through dedicated courses and daily audits. We compared the risk stratification performed by expert nurses with that of MTS on various outcomes such as mortality, hospitalisation, and urgency defined by the physicians. Comparisons were made using the Areas Under the Receiver Operating Characteristic curve (AUROC).</p></div><div><h3>Results</h3><p>The agreement in code classification between the MTS and the expert nurse was very low. The AUROC curve analysis showed that the expert nurse outperformed the MTS in all outcomes. The triage nurse’s experience led to statistically significant better stratification in admission rates, ICU admissions, and all outcomes based on the physician’s assessment.</p></div><div><h3>Conclusions</h3><p>The continuous training of nurses enables them to achieve better risk prediction compared to standardized triage systems like MTS, emphasizing the utility and necessity of implementing continuous training pathways for these highly specialised personnel.</p></div>\",\"PeriodicalId\":48914,\"journal\":{\"name\":\"International Emergency Nursing\",\"volume\":\"75 \",\"pages\":\"Article 101486\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2024-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Emergency Nursing\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1755599X24000818\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"NURSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Emergency Nursing","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1755599X24000818","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NURSING","Score":null,"Total":0}
Enhancing triage accuracy: The influence of nursing education on risk prediction
Aim
This study aimed to compare the performance in risk prediction of various outcomes between specially trained triage nurses and the Manchester Triage System (MTS).
Design
Prospective observational study.
Methods
The study was conducted from June 1st to December 31st, 2023, at the Emergency Department of Merano Hospital. Triage nurses underwent continuous training through dedicated courses and daily audits. We compared the risk stratification performed by expert nurses with that of MTS on various outcomes such as mortality, hospitalisation, and urgency defined by the physicians. Comparisons were made using the Areas Under the Receiver Operating Characteristic curve (AUROC).
Results
The agreement in code classification between the MTS and the expert nurse was very low. The AUROC curve analysis showed that the expert nurse outperformed the MTS in all outcomes. The triage nurse’s experience led to statistically significant better stratification in admission rates, ICU admissions, and all outcomes based on the physician’s assessment.
Conclusions
The continuous training of nurses enables them to achieve better risk prediction compared to standardized triage systems like MTS, emphasizing the utility and necessity of implementing continuous training pathways for these highly specialised personnel.
期刊介绍：
International Emergency Nursing is a peer-reviewed journal devoted to nurses and other professionals involved in emergency care. It aims to promote excellence through dissemination of high quality research findings, specialist knowledge and discussion of professional issues that reflect the diversity of this field. With an international readership and authorship, it provides a platform for practitioners worldwide to communicate and enhance the evidence-base of emergency care.
The journal publishes a broad range of papers, from personal reflection to primary research findings, created by first-time through to reputable authors from a number of disciplines. It brings together research from practice, education, theory, and operational management, relevant to all levels of staff working in emergency care settings worldwide.
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