The Korean Triage and Acuity Scale (KTAS) is used to determine emergency patient priority. The purpose of this study was to develop the Competency-Based Triage Education Application (CTEA) using KTAS and evaluate its effectiveness on emergency nurses' triage competency and performance. The developed CTEA mobile application comprised 4 lectures, 12 text-based cases, and 8 video-based triage scenarios. A quasi-experimental pre-post design with a comparison group (CG) was used to evaluate the effectiveness of the CTEA. Thirty-one participants were assigned to an intervention group (IG) and used the application for at least 100 min over one week. Thirty-five participants were assigned to a CG and underwent book-based learning, which covered the same content as the CTEA. Triage competency (t = 2.55, = 0.013) and performance (t = 2.11, = 0.039) were significantly improved in the IG. The IG's undertriage error was significantly reduced compared to that of the CG (t = 2.08, = 0.041). These results indicated that the CTEA was effective in improving the emergency nurses' triage competency and performance. This application will be useful as a program for providing repeated and continuous triage education.
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http://dx.doi.org/10.3390/healthcare10040596 | DOI Listing |
Background: In this study, we implemented an indoor positioning system to track the activities of healthcare professionals during their shifts in an emergency department, aiming to gain a better understanding of the emergency care production process.
Methods: An ultrawideband-based tracking system was used in an experiment at the emergency department of Le Corbusier Hospital in Firminy, France. Over a 46-day period, healthcare professionals, including assistant nurses, nurses, doctors, and managers, wore a sensor to record their location within the emergency department.
Int J Emerg Med
March 2025
Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia.
Background: The efficient performance of an Emergency Department (ED) relies heavily on an effective triage system that prioritizes patients based on the severity of their medical conditions. Traditional triage systems, including those using the Canadian Triage and Acuity Scale (CTAS), may involve subjective assessments by healthcare providers, leading to potential inconsistencies and delays in patient care.
Objective: This study aimed to evaluate six Machine Learning (ML) models K-Nearest Neighbors (KNN), Support Vector Machine (SCM), Decision Tree (DT), Random Forest (RF), Gaussian Naïve Bayes (GNB), and Light GBM (Light Gradient Boosting Machine) for triage prediction in the King Abdulaziz University Hospital using the CTAS framework.
PLOS Digit Health
March 2025
KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
Sepsis occurs predominantly in low-middle-income countries. Sub-optimal triage contributes to poor early case recognition and outcomes from sepsis. Improved recognition and quality of care can lead to improved outcomes.
View Article and Find Full Text PDFPan Afr Med J
March 2025
Department of Health Policy Planning and Management, School of Public Health, Makerere University, Kampala, Uganda.
Introduction: robust data on the utility of chest ultrasound scans (CUS) for triage and diagnosis of pediatric tuberculosis (TB) are lacking. Therefore, we aimed to compare CUS features to chest radiography (CXR), which is the recommended imaging modality in children with presumptive pulmonary tuberculosis (PTB).
Methods: eighty children ≤14 years of age with presumptive TB underwent CUS and CXR performed by two separate radiologists for each modality, who looked for the presence of consolidation, lymphadenopathy, and pleural effusion in both modalities.
BMC Prim Care
March 2025
Institute of Family Medicine, University Medical Center Schleswig-Holstein, Campus Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany.
Background: Increasing visits to out-of-hours practices and Emergency Departments (EDs) for non-life-threatening urgent cases (NLTUCs) have placed a significant burden on healthcare systems worldwide. General practitioners (GPs), as the first point of contact in primary care, play a critical role in managing acute medical cases. However, limited research has focused on their contribution to acute care, and tools for assessing these cases remain non-existent.
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