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S14-01 Geographical Variations for Addiction Risk Among Dually Diagnosed People Cared in Parallel Systems

Published online by Cambridge University Press:  17 April 2020

G. Carrà
Affiliation:
Department Mental Health Sciences, University College Medical School, London, UK
G. Segagni Lusignani
Affiliation:
Department of Health Sciences, Section of Medical Statistics and Epidemiology, University of Pavia, Pavia
P. Sciarini
Affiliation:
Department of Health Sciences, Section of Medical Statistics and Epidemiology, University of Pavia, Pavia
P. Borrelli
Affiliation:
Department of Health Sciences, Section of Medical Statistics and Epidemiology, University of Pavia, Pavia
I. Popa
Affiliation:
Department of Health Sciences, Section of Medical Statistics and Epidemiology, University of Pavia, Pavia
C. Montomoli
Affiliation:
Department of Health Sciences, Section of Medical Statistics and Epidemiology, University of Pavia, Pavia
M. Clerici
Affiliation:
Department of Neurosciences and Biomedical Technologies, University of Milan Bicocca, Milan, Italy

Abstract

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Objective

Concerns are growing from increasing prevalence rates for comorbid substance misuse and mental illness. Along with understanding which clinical populations are at high risk, an epidemiologically informed approach is needed to assess effectiveness of established service delivery. The aims of the study is to investigate the risk of developing an alcohol and other psychoactive substances dependence syndrome according to area of residence.

Method

A cross-sectional survey design was used analysing data from the Psychiatric and Addictive Dual Disorders in Italy Study. Staff rating was used to assess comorbid substance use.

Results

Significant differences were found between different geographical areas (Northern vs. Centre vs. Southern Italy). Peculiar diagnostic subgroups showed higher risk to develop such comorbid condition, whilst a number of clinical and sociodemographic variables, including area of residence, were associated with the risk to develop a dependence syndrome.

Conclusions

High comorbid rates do not seem necessarily the direct result of biological features inherent in schizophrenia, but social factors play an important role. A number of risk factors associated with dual diagnosis could build up an evidence base about how many people with dual diagnosis present and what the nature of their substance use is, providing targeted service planning and policy making. The higher risk of developing a dependence syndrome as associated with area of residence, could be considered as a reliable proxy measure of effective integration between mental health and addiction services. There is the need for implementing appropriate shared programmes to fill this gap in targeted areas.

Type
Addiction and Dual Diagnosis Treatment
Copyright
Copyright © European Psychiatric Association 2010
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