We evaluated : a) whether the frequency of variable measurement could influence the performance of the Pediatric Risk of Mortality (PRISM) score ; b) whether measurement frequency of physiologic variables varied between individual pediatric intensive care units (ICUs), and c) if so, how much of this variability could be attributed to institution-level and patient-level factors.
Sixteen pediatric ICUs, chosen for their diversity.
Consecutive admissions (n=5,415).
First, the measurement frequency of the 14 physiologic variables in the PRISM score was included in the logistic regression model predicting mortality risk.
Measurement frequency was not significant, alone or in its interaction with the PRISM score.
Second, the presence or absence of measurement of each physiologic variable was included in the logistic model using indicator variables ; none was significant.
Finally, the contribution of the individual pediatric ICUs and patient factors in explaining the variability in the frequency of physiologic variable measurement were investigated with linear regression analysis.
In this analysis, the separation of severity of illness from measurement frequency was accomplished by computing the PRISM score from the first 4 hrs and measurement frequencies from hours 5 through 24.
Overall, 70.22% (r2) of the variability of measurement frequency coul...
Mots-clés Pascal : Unité soin intensif, Pédiatrie, Indicateur, Mortalité, Prédiction, Pronostic, Indice gravité, Evaluation performance, Echelle évaluation, Assurance qualité, Etude cohorte, Prospective, Biais, Service hospitalier
Mots-clés Pascal anglais : Intensive care unit, Pediatrics, Indicator, Mortality, Prediction, Prognosis, Severity score, Performance evaluation, Evaluation scale, Quality assurance, Cohort study, Prospective, Hospital ward
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Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 96-0121333
Code Inist : 002B30A01C. Création : 199608.