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Indexed/Abstracted in: CAB, EMBASE, PubMed/MEDLINE, Science Citation Index Expanded (SciSearch), Scopus
Impact Factor 0,532
Online ISSN 1827-1715
Silvia FONTANAZZA 1, Emanuela PICCOTTI 1, Marina SARTINI 2, Maria L. CRISTINA 2, Anna M. SPAGNOLO 2, Antonella PALMIERI 1, Pasquale DI PIETRO 1
1 Pediatric Emergency Department, “G. Gaslini” Children’s Hospital, Genoa, Italy; 2 Department of Health Sciences, University of Genoa, Genoa, Italy
BACKGROUND: The aim of this study was to find stratification criteria in a group of children assigned to the green triage category at an emergency department (ED).
METHODS: We analyzed a sample of patients admitted to the ED of Gaslini Children’s Hospital in Genoa between February 2014 and January 2015 who had been given a green code on triage. We analyzed the following parameters: age, sex, nationality, reason for admission, number and type of the procedures performed, length of stay in the ED, destination on discharge, color code and diagnosis on discharge.
RESULTS: Of the 2875 patients enrolled, 258 (8.97%) were hospitalized, 135 (4.70%) were placed in short intensive observation, 1609 (55.97%) were discharged from the ED without any intervention, 829 (28.83%) were discharged after undergoing procedures (blood tests, microbiology investigation, imaging, specialist evaluation) and 44 (1.5%) spontaneously left the ED. Among the patients who were hospitalized and those kept under short intensive observation, the most frequent discharge diagnosis was gastrointestinal disease; among those patients discharged with and without undergoing procedures, the most frequent diagnosis was respiratory disease. The mean age of patients admitted to hospital and of those discharged without undergoing procedures was 46 months, while the mean ages of patients kept under short intensive observation and of those discharged after undergoing procedures were 54 and 61 months, respectively.
CONCLUSIONS: These preliminary results suggest that one of the main criteria of stratification of green codes on triage is the association between 2 variables: age and pathology.