Study about the Hospitalization Length at Patients with Oro-Maxillo-Facial Traumas Using GLM Univariate Models

Abstract

The General Linear Modeling is a statistical method which combines the regression and the variance analysis for a dependent variable in the presence of an independent variable and one or more factors, whose effects can be analyzed separately or combined. We used the GLM univariate models on a database made from 6384 patients, recorded in the Oro-Maxillo-Facial Clinic, "Sf. Spiridon" Hospital Iasi, between 2004 – 2015, in order to investigate the influence of patients’ age over the hospitalization length, modulated by gender, domicile, season, etiology and main diagnostics. We found as significant factors the domicile, the season and the diagnostics: the patients from rural areas are expected to stay in hospital with 0.396 days less than those from urban areas, those hospitalized during spring stay in hospital with 0.320 days less than those hospitalized during other seasons, and the patients with maxillary fractures have an hospitalization length longer with 0.877 days than the other patients; the patients with mandible fractures have an hospitalization length longer with 0.755 days than the other patients and the patients with dental fracture and dislocations have an hospitalization length shorter with 0.840 days than the other patients. No significant interactions between these factors were identified.