Objective: To assess the safety of the Manchester Triage System in pediatric emergency care for children who require admission to the intensive care unit (ICU).
Study Design: Between 2006 and 2013, 50 062 consecutive emergency department visits of children younger than the age of 16 years were included. We determined the percentage of undertriage, defined as the proportion of children admitted to ICU triaged as low urgent according to the Manchester Triage System, and diagnostic performance measures, including sensitivity, specificity, and diagnostic OR. Characteristics of undertriaged patients were compared with correctly triaged patients. In a logistic regression model, risk factors for undertriage were determined.
Results: In total, 238 (28.7%) of the 830 children admitted to ICU during the study period were undertriaged. Sensitivity of high Manchester Triage System urgency levels to detect ICU admission was 71% (95% CI 68%-74%) and specificity 85% (95% CI 85%-85%). Severity of illness was lower in undertriaged children than correctly triaged children admitted to ICU. Risk factors for undertriage were age <3 months, medical presenting problem, comorbidity, referral by a medical specialist or emergency medical services, and presentation during the evening or night shift.
Conclusion: The Manchester Triage System misclassifies a substantial number of children who require ICU admission. Modifications targeted at young children and children with a comorbid condition could possibly improve safety of the Manchester Triage System in pediatric emergency care.
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http://dx.doi.org/10.1016/j.jpeds.2016.06.068 | DOI Listing |
J Eval Clin Pract
February 2025
Department of Orthopaedics and Trauma, Gold Coast Hospital and Health Service, Southport, Queensland, Australia.
Rationale: Hospitals are increasingly utilising allied-health professionals to provide clinical triage to patients. While these positions are routinely implemented, and several observational studies have reported positive outcomes, the effectiveness of this intervention has been rarely tested in a clinical trial.
Aims And Objectives: The objectives of this study were to (i) evaluate a podiatry-led orthopaedic triage service using patient-reported outcome measures (PROMs), and (ii) determine if it is cost-effective in terms of incremental cost/quality-adjusted life years (QALYs).
BMJ Open Qual
January 2025
Division of Cardiovascular Sciences, The University of Manchester, Manchester, UK.
Introduction: Stroke is a leading cause of mortality and morbidity, demanding prompt and accurate identification. However, prehospital diagnosis is challenging, with up to 50% of suspected strokes having other diagnoses. A prehospital video triage (PHVT) system was piloted in Greater Manchester to improve prehospital diagnostic accuracy and appropriate conveyance decisions.
View Article and Find Full Text PDFInt J Clin Health Psychol
December 2024
University Hospital of Psychiatry I, Department of Psychiatry, Psychotherapy, Psychosomatics and Medical Psychology, Medical University of Innsbruck, Austria.
Background: The increasing prevalence of dementia and new therapeutic developments for Alzheimer's disease (AD) have created an urgent need for rapid and cost-effective methods to diagnose those affected in the early stages of the disease. Unlike emergency departments, memory clinics lack triage systems, e.g.
View Article and Find Full Text PDFJ Clin Nurs
December 2024
Department of Internal Medicine, Intermediate Care Unit, Hospital Alto Vicentino (AULSS-7), Santorso, Italy.
BMJ Health Care Inform
December 2024
Department of Computer Science, Durham University, Durham, UK
Objectives: Increasing operational pressures on emergency departments (ED) make it imperative to quickly and accurately identify patients requiring urgent clinical intervention. The widespread adoption of electronic health records (EHR) makes rich feature patient data sets more readily available. These large data stores lend themselves to use in modern machine learning (ML) models.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!