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Determining socio‐demographic predictors of treatment dropout: results in a therapeutic community
Author(s) -
LópezGoñi José J.,
Fernández Montalvo Javier,
Illescas Cristina,
Landa Natalia,
Lorea Iñaki
Publication year - 2008
Publication title -
international journal of social welfare
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.664
H-Index - 47
eISSN - 1468-2397
pISSN - 1369-6866
DOI - 10.1111/j.1468-2397.2008.00584.x
Subject(s) - dropout (neural networks) , therapeutic community , medicine , demography , therapeutic effect , school dropout , psychology , gerontology , psychiatry , sociology , socioeconomics , machine learning , computer science
This article presents a study of a number of socio‐demographic factors that predict treatment dropout from a residential substance use disorder programme in Spain ( Proyecto Hombre Therapeutic Community). A sample of 430 patients (173 who completed treatment and 257 who dropped out of treatment) was assessed at entry to the therapeutic community programme in order to collect information on socio‐demographic characteristics of the participants. According to the results obtained, factors that predicted treatment dropout included younger age, male gender and previous treatment history in the Proyecto Hombre therapeutic community. Patients with these characteristics were at significantly greater risk of dropping out of treatment. The implications of these results for further research and clinical practice are commented upon.