Literature DB >> 27480197

Safety of the Manchester Triage System to Detect Critically Ill Children at the Emergency Department.

Joany M Zachariasse1, Jan Willem Kuiper2, Matthijs de Hoog2, Henriëtte A Moll1, Mirjam van Veen3.   

Abstract

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.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  emergency medical services; intensive care units; patient safety; pediatric; triage; validity

Mesh:

Year:  2016        PMID: 27480197     DOI: 10.1016/j.jpeds.2016.06.068

Source DB:  PubMed          Journal:  J Pediatr        ISSN: 0022-3476            Impact factor:   4.406


  7 in total

1.  Association between hypotension and serious illness in the emergency department: an observational study.

Authors:  Nienke N Hagedoorn; Joany M Zachariasse; Henriette A Moll
Journal:  Arch Dis Child       Date:  2019-04-04       Impact factor: 3.791

2.  Diversity in the emergency care for febrile children in Europe: a questionnaire study.

Authors:  Dorine Borensztajn; Shunmay Yeung; Nienke N Hagedoorn; Anda Balode; Ulrich von Both; Enitan D Carrol; Juan Emmanuel Dewez; Irini Eleftheriou; Marieke Emonts; Michiel van der Flier; Ronald de Groot; Jethro Adam Herberg; Benno Kohlmaier; Emma Lim; Ian Maconochie; Federico Martinón-Torres; Ruud Nijman; Marko Pokorn; Franc Strle; Maria Tsolia; Gerald Wendelin; Dace Zavadska; Werner Zenz; Michael Levin; Henriette A Moll
Journal:  BMJ Paediatr Open       Date:  2019-06-27

3.  Improving the prioritization of children at the emergency department: Updating the Manchester Triage System using vital signs.

Authors:  Joany M Zachariasse; Ian K Maconochie; Ruud G Nijman; Susanne Greber-Platzer; Frank J Smit; Daan Nieboer; Johan van der Lei; Claudio F Alves; Henriëtte A Moll
Journal:  PLoS One       Date:  2021-02-09       Impact factor: 3.240

4.  Practice variation across five European paediatric emergency departments: a prospective observational study.

Authors:  Fabienne Ropers; Patrick Bossuyt; Ian Maconochie; Frank J Smit; Claudio Alves; Susanne Greber-Platzer; Henriette A Moll; Joany Zachariasse
Journal:  BMJ Open       Date:  2022-03-31       Impact factor: 2.692

5.  Improving the safety of the Manchester triage system for children with congenital heart disease.

Authors:  Franziska Leeb; Ursula Sharma; Lusine Yeghiazaryan; Henriëtte A Moll; Susanne Greber-Platzer
Journal:  Eur J Pediatr       Date:  2022-08-27       Impact factor: 3.860

6.  Characteristics of revisits of children at risk for serious infections in pediatric emergency care.

Authors:  Evelien de Vos-Kerkhof; Dorien H F Geurts; Ewout W Steyerberg; Monica Lakhanpaul; Henriette A Moll; Rianne Oostenbrink
Journal:  Eur J Pediatr       Date:  2018-02-03       Impact factor: 3.183

7.  Machine Learning-Based Prediction of Clinical Outcomes for Children During Emergency Department Triage.

Authors:  Tadahiro Goto; Carlos A Camargo; Mohammad Kamal Faridi; Robert J Freishtat; Kohei Hasegawa
Journal:  JAMA Netw Open       Date:  2019-01-04
  7 in total

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