PLoS ONE (Jan 2021)

Shortness of breath in children at the emergency department: Variability in management in Europe.

  • Dorine Borensztajn,
  • Joany M Zachariasse,
  • Susanne Greber-Platzer,
  • Claudio F Alves,
  • Paulo Freitas,
  • Frank J Smit,
  • Johan van der Lei,
  • Ewout W Steyerberg,
  • Ian Maconochie,
  • Henriëtte A Moll

DOI
https://doi.org/10.1371/journal.pone.0251046
Journal volume & issue
Vol. 16, no. 5
p. e0251046

Abstract

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ObjectiveOur aim was to describe variability in resource use and hospitalization in children presenting with shortness of breath to different European Emergency Departments (EDs) and to explore possible explanations for variability.DesignThe TrIAGE project, a prospective observational study based on electronic health record data.Patients and settingConsecutive paediatric emergency department visits for shortness of breath in five European hospitals in four countries (Austria, Netherlands, Portugal, United Kingdom) during a study period of 9-36 months (2012-2014).Main outcome measuresWe assessed diversity between EDs regarding resource use (diagnostic tests, therapy) and hospital admission using multivariable logistic regression analyses adjusting for potential confounding variables.ResultsIn total, 13,552 children were included. Of those, 7,379 were categorized as immediate/very urgent, ranging from 13-80% in the participating hospitals. Laboratory tests and X-rays were performed in 8-33% of the cases and 21-61% was treated with inhalation medication. Admission rates varied between 8-47% and PICU admission rates varied between 0.1-9%. Patient characteristics and markers of disease severity (age, sex, comorbidity, urgency, vital signs) could explain part of the observed variability in resource use and hospitalization. However, after adjusting for these characteristics, we still observed substantial variability between settings.ConclusionEuropean EDs differ substantially regarding the resource use and hospitalization in children with shortness of breath, even when adjusting for patient characteristics. Possible explanations for this variability might be unmeasured patient characteristics such as underlying disease, differences in guideline use and adherence or different local practice patterns.