To develop and validate a prediction model for mental health needs (MHN) and psychiatric needs (PN) using specific social indicators, obtainable from census data, within low-density departments (LDD) and high- density departments (HDD).In a population-based study of 20,404 participants from 22 departments in France, mental health needs were defined into three categories (no needs, MHN, and PN) using the Composite International Diagnosis Interview Short-Form, Sheehan disability scale, and presence of depressive and alcohol disorders. Within HDD (n=9) and LDD (n=13) departments, two separate logistic regression models, using MHN or PN as an endpoint, were fitted using available sociodemographic data. Model validation was performed using 2007 census data. Overall accuracy was evaluated using average residuals (AR) calculated within density stratum.In LDD and HDD respectively, 26.6

作者：Viviane, Kovess-Masfety；Anders, Boyd

来源：Clinical practice and epidemiology in mental health : CP & EMH 2015 年 11卷