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Hindi Research Article
Role of Two Clusters of Cocaine-Dependent Outpatients in Treatment Retention
Flavia Ismael1 and Danilo Antonio Baltieri1,2*1Department of Psychiatry, University of Sao Paulo, Brazil
2Department of Psychiatry, ABC Medical School, Santo Andre, Sao Paulo, Brazil
- *Corresponding Author:
- Danilo Antonio Baltieri
Avenida Angelica, nº 2100, conjunto 13
CEP: 01228-200, Sao Paulo, SP, Brazil
Tel: +5511-3120-6896
E-mail: dbaltieri@uol.com.br
Received September 03, 2012; Accepted October 29, 2012; Published November 02, 2012
Citation: Ismael F, Baltieri DA (2012) Role of Two Clusters of Cocaine-Dependent Outpatients in Treatment Retention. J Addict Res Ther 3:136. doi:10.4172/2155-6105.1000136
Copyright: © 2012 Ismael F, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
Background: Cocaine dependents are a highly heterogeneous population. An appropriate system of classification should represent a broad understanding of underlying psychosocial aspects of cocaine dependence, as well as being related to a therapeutic proposal, a possible prognosis, and different forms of approach. Our aim was to identify types of cocaine dependents and evaluate if these types show different retention rates in a cognitive behavioral treatment.
Methods: The sample comprised 100 cocaine-dependent outpatients who were enrolled in an individual and manualized cognitive-behavioral treatment. Classes of participants sharing common psychosocial features, cocaine use-related aspects, and impulsiveness were identified with latent class analysis. The association of sociodemographic, clinical, and psychological variables with treatment retention was also investigated.
Results: Two clusters were delineated. Participants belonging to cluster 1 (n=60) were characterized by higher impulsiveness level, more years of cocaine use, higher educational level, more previous treatment episodes for cocaine addiction, and more frequent family history of cocaine use problems than Cluster 2 (n=40). Cluster 1 persons adhered longer to the treatment. As to the independent variables, only the highest educational level and the route of administration (crack cocaine) were associated with higher treatment retention.
Conclusions: Information about patients’ characteristics linked to noncompliance or dropout should be used to make treatment programs more responsive and attractive, combining more intensive and diversified psychosocial interventions.
