• Arch. Dis. Child. · Nov 2017

    Observational Study

    The role of nurses' clinical impression in the first assessment of children at the emergency department.

    • Joany M Zachariasse, Dominique van der Lee, Nienke Seiger, Evelien de Vos-Kerkhof, Rianne Oostenbrink, and Henriëtte A Moll.
    • Department of General Paediatrics, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands.
    • Arch. Dis. Child. 2017 Nov 1; 102 (11): 1052-1056.

    ObjectiveTo assess the diagnostic value and determinants of nurses' clinical impression for the recognition of children with a serious illness on presentation to the emergency department (ED).DesignSecondary analysis of a prospective cohort.Setting And Patients6390 consecutive children <16 years of age presenting to a paediatric ED with a non-surgical chief complaint and complete data available.Main Outcome MeasuresDiagnostic accuracy of nurses' clinical impression for the prediction of serious illness, defined by intensive care unit (ICU) and hospital admission. Determinants of nurses' impression that a child appeared ill.ResultsNurses considered a total of 1279 (20.0%) children appearing ill. Sensitivity of nurses' clinical impression for the recognition of patients requiring ICU admission was 0.70 (95% CI 0.62 to 0.76) and specificity was 0.81 (95% CI 0.80 to 0.82). Sensitivity for hospital admission was 0.48 (95% CI 0.45 to 0.51) and specificity was 0.88 (95% CI 0.87 to 0.88). When adjusted for age, gender, triage urgency and abnormal vital signs, nurses' impression remained significantly associated with ICU (OR 4.54; 95% CI 3.09 to 6.66) and hospital admission (OR 4.00; 95% CI 3.40 to 4.69). Ill appearance was positively associated with triage urgency, fever and abnormal vital signs and negatively with self-referral and presentation outside of office hours.ConclusionThe overall clinical impression of experienced nurses at the ED is on its own, not an accurate predictor of serious illness in children, but provides additional information above some well-established and objective predictors of illness severity.© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

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