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Predictors of substance abuse treatment outcomes in Tennessee.
(Facteurs de prédiction des résultats des traitements de l'abus de drogues dans le Tennessee)
Auteur(s) :
KEDIA S. ;
C. WILLIAMS
Article en page(s) :
25-47
Refs biblio. :
31
Domaine :
Plusieurs produits / Several products
Langue(s) :
Anglais
Note générale :
Journal of Drug Education, 2003, 33, (1), 25-47
Note de contenu :
Tab.
Résumé :
ENGLISH :
In planning and implementing programs to treat substance abuse, it is important to understand which factors influence post-treatment abstinence. This article identifies and analyzes several variables important in predicting the likelihood of abstinence among substance abuse clients. The data used in this study was collected from 1,350 clients treated for alcohol or drug abuse in residential, halfway house, or outpatient facilities in Tennessee. We analyzed 22 variables as possible treatment outcome predictors by using two statistical procedures: stepwise logistic regression analysis and Quick, Unbiased, Efficient, Statistical Tree (QUEST) analysis, a tree-structured classification algorithm analysis. We found one pre-treatment, five in-treatment, and three post-treatment variables to be significant predictors of treatment outcome: previous treatment history, perceived helpfulness of the treatment, simultaneous treatment for mental health, number of days in treatment, completion of treatment, special skills training during treatment, obtaining healthcare services for major physical health problem after treatment, living with someone using alcohol or drugs post treatment, and arrest record since treatment. (Author's abstract)
ENGLISH :
In planning and implementing programs to treat substance abuse, it is important to understand which factors influence post-treatment abstinence. This article identifies and analyzes several variables important in predicting the likelihood of abstinence among substance abuse clients. The data used in this study was collected from 1,350 clients treated for alcohol or drug abuse in residential, halfway house, or outpatient facilities in Tennessee. We analyzed 22 variables as possible treatment outcome predictors by using two statistical procedures: stepwise logistic regression analysis and Quick, Unbiased, Efficient, Statistical Tree (QUEST) analysis, a tree-structured classification algorithm analysis. We found one pre-treatment, five in-treatment, and three post-treatment variables to be significant predictors of treatment outcome: previous treatment history, perceived helpfulness of the treatment, simultaneous treatment for mental health, number of days in treatment, completion of treatment, special skills training during treatment, obtaining healthcare services for major physical health problem after treatment, living with someone using alcohol or drugs post treatment, and arrest record since treatment. (Author's abstract)
Affiliation :
Tennessee Outcomes Alcohol Drug Services, Dept. Anthropology, Univ. Memphis, 316 Manning Hall, Memphis, TN 38152
Etats-Unis. United States.
Etats-Unis. United States.
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