INTERNATIONAL JOURNAL OF TECHNOLOGY ASSESSMENT IN HEALTH CARE, vol. 7, n° 1, 1991, pages 22-29, 12 réf., ISSN 0266-4623, GBR
ALMEIDA (R.T.) *, PANERAI (R.B.), DE CARVALHO (M.), LOPES (J.M.A.)
The use of 53 different technologies was studied in 82 patients in a neonatal intensive care unit.
Using a coefficient of similarity based on the utilization pattern of these technologies, it was possible to identify five clusters of patients that can be correlated with the primary diagnostic groups and such other variables as birth weight (BW), gestational age, length of stay (LOS), and weight gain.
Four interdependent models were identified by multiple regression analysis.
Mots-clés BDSP : Homme, Amérique, Nouveau né, Appareil biologie médicale, Diagnostic, Modèle, Economie santé, Réanimation, Brésil
Mots-clés Pascal : Homme, Amérique du Sud, Amérique, Unité soin intensif, Nouveau né, Equipement biomédical, Diagnostic, Modèle, Analyse amas, Analyse régression, Utilisation, Economie santé, Génie biomédical, Réanimation, Brésil
Mots-clés Pascal anglais : Human, South America, America, Intensive care unit, Newborn, Biomedical equipment, Diagnosis, Models, Cluster analysis, Regression analysis, Use, Health economy, Biomedical engineering, Resuscitation, Brazil
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 91-0437376
Code Inist : 002B30E. Création : 199406.