• Rev Calid Asist · Jun 2016

    [Results of applying a paediatric early warning score system as a healthcare quality improvement plan].

    • M J Rivero-Martín, S Prieto-Martínez, M García-Solano, M Montilla-Pérez, E Tena-Martín, and M M Ballesteros-García.
    • Servicio de Pediatría, Hospital Universitario de Fuenlabrada, Fuenlabrada, Madrid, España. Electronic address: mriverom@salud.madrid.org.
    • Rev Calid Asist. 2016 Jun 1; 31 Suppl 1: 11-9.

    ObjectivesThe aims of this study were to introduce a paediatric early warning score (PEWS) into our daily clinical practice, as well as to evaluate its ability to detect clinical deterioration in children admitted, and to train nursing staff to communicate the information and response effectively.Material And MethodsAn analysis was performed on the implementation of PEWS in the electronic health records of children (0-15 years) in our paediatric ward from February 2014 to September 2014. The maximum score was 6. Nursing staff reviewed scores >2, and if >3 medical and nursing staff reviewed it. Monitoring indicators: % of admissions with scoring; % of complete data capture; % of scores >3; % of scores >3 reviewed by medical staff, % of changes in treatment due to the warning system, and number of patients who needed Paediatric Intensive Care Unit (PICU) admission, or died without an increased warning score.ResultsThe data were collected from all patients (931) admitted. The scale was measured 7,917 times, with 78.8% of them with complete data capture. Very few (1.9%) showed scores >3, and 14% of them with changes in clinical management (intensifying treatment or new diagnostic tests). One patient (scored 2) required PICU admission. There were no deaths. Parents or nursing staff concern was registered in 80% of cases.ConclusionsPEWS are useful to provide a standardised assessment of clinical status in the inpatient setting, using a unique scale and implementing data capture. Because of the lack of severe complications requiring PICU admission and deaths, we will have to use other data to evaluate these scales.Copyright © 2016 SECA. Published by Elsevier Espana. All rights reserved.

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