Predictors of substance abuse treatment outcomes in Tennessee.
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...
| Publicado en: | Journal of Drug Education Vol. 33; no. 1; pp. 25 - 48 |
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| Autores principales: | , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2003
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=106882737&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 106882737 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00472379 JDR jtl: Journal of Drug Education issn: 00472379 maglogo: N pubinfo: dt: 2003 vid: 33 iid: 1 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 106882737 106882737 2003151214 10.2190/rd7b-mded-mepj-g7cd NLM12773023 106882737 ppf: 25 ppct: 23 formats: tig: atl: Predictors of substance abuse treatment outcomes in Tennessee. aug: au: Kedia S Williams C affil: Assistant Professor of Medical Anthropology, Dept of Anthropology, University of Memphis, 316 Manning Hall, Memphis, TN 38152; skkedia@memphis.edu sug: subj: Drug Rehabilitation Programs Tennessee Outcomes (Health Care) Tennessee Adolescence Adult Analysis of Variance Chi Square Test Confidence Intervals Convenience Sample Data Analysis Software Discriminant Analysis Interviews Logistic Regression Middle Age Odds Ratio Pearson's Correlation Coefficient Pretest-Posttest Design Questionnaires Telephone Tennessee Funding Source Human Adolescent: 13-18 years Adult: 19-44 years Middle Aged: 45-64 years ab: 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 pretreatment, 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. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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