This paper discusses the development and application of a socio-economic status (SES) index, created to explore the relationship between socio-economic variables and psychiatric service use. The study was conducted in a community-based mental health service (CMHS) in Verona, Northern Italy, utilising service use data from 1996. An ecological SES index was constructed through a factor analysis from 1991 Census data, at census block level.
View Article and Find Full Text PDFBackground: Mental health services should be provided on the basis of need. This study investigated a representative sample of patients attending a community-based psychiatric service. The aim was to identify the profile of patients with higher needs for care, by considering a full range of potential demographic, clinical, social and service correlates.
View Article and Find Full Text PDFEpidemiol Psichiatr Soc
March 2004
Objective: This study provides a framework for mental health inequalities beginners. It describes the methods used to measure socio economic inequalities and the inter-relations with different aspects of mental health: residence, mental health services organisation and main diagnostic categories.
Method: Literature electronic-search on Medline, Psyclit, Econlit, Social Science Index and SocioSearch using and relating the key-words inequalities, deprivation, poverty, socio-economic status, social class, occupational class, mental health for the period 1965-2002 (June).
Epidemiol Psichiatr Soc
January 2004
Aims: Reconstructing the models used for approaching the inequalities issues in health, identifying the most relevant theoretical and conceptual contributions.
Method: Literature electronic-search on Medline, Psyclit, Econlit, Social Science Index and SocioSearch using the key-words inequalities, deprivation, poverty, socio-economic status, social class, occupational class, mental health for the period 1965-2002; integrated with manual search. The material was classified according to the conceptual and theoretical interpretative models or to the analyses of the association 'inequalities-health' where health was expressed as mortality, morbidity or services utilisation.