TY - JOUR
T1 - Enhancing triage accuracy
T2 - The influence of nursing education on risk prediction
AU - Zaboli, Arian
AU - Sibilio, Serena
AU - Massar, Magdalena
AU - Brigiari, Gloria
AU - Magnarelli, Gabriele
AU - Parodi, Marta
AU - Mian, Michael
AU - Pfeifer, Norbert
AU - Brigo, Francesco
AU - Turcato, Gianni
N1 - Lehr-KHs Bozen und Meran: Innovation, Research and Teaching Service (SABES-ASDAA), Teaching Hospital of the Paracelsus Medical Private University (PMU), Bolzano, Italy; Department of Emergency Medicine, Hospital of Merano-Meran (SABES-ASDAA), Merano-Meran, Italy; Lehrkrankenhaus der Paracelsus Medizinischen Privatuniversit ̈at, Salzburg, Austria
PY - 2024/8
Y1 - 2024/8
N2 - 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.
AB - 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.
KW - Accuracy
KW - Advanced nursing practice
KW - Education
KW - Emergency nurse
KW - Manchester triage system
KW - Nurse
KW - Triage
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=pmu_pure&SrcAuth=WosAPI&KeyUT=WOS:001261582900001&DestLinkType=FullRecord&DestApp=WOS_CPL
U2 - 10.1016/j.ienj.2024.101486
DO - 10.1016/j.ienj.2024.101486
M3 - Original Article
C2 - 38936274
SN - 1755-599X
VL - 75
JO - INTERNATIONAL EMERGENCY NURSING
JF - INTERNATIONAL EMERGENCY NURSING
M1 - 101486
ER -