Literature DB >> 12957346

Short-term alcohol and drug treatment outcomes predict long-term outcome.

Constance Weisner1, G Thomas Ray, Jennifer R Mertens, Derek D Satre, Charles Moore.   

Abstract

INTRODUCTION: Although addiction is recognized as a chronic, relapsing condition, few treatment studies, and none in a commercially insured managed care population, have measured long-term outcomes. We examined the relationship of 6-month treatment outcomes to abstinence 5 years post-treatment, and whether the predictors of abstinence at 5 years were different for those who were, and were not, abstinent at 6 months.
METHODS: The sample (N=784) is from an outpatient (day hospital and traditional outpatient) managed care chemical dependency program. Subjects were interviewed at baseline, 6 months, and 5 years. Logistic regression analysis was used to assess which individual, treatment and extra-treatment characteristics predicted alcohol and drug abstinence at 5 years.
RESULTS: Abstinence at 6 months was an important predictor of abstinence at 5 years. Among those abstinent at 6 months, predictors of abstinence at 5 years were older age, being female, 12-step meeting attendance, and recovery-oriented social networks. Among those not abstinent at 6 months, being alcohol dependent rather than drug dependent, 12-step meeting attendance, treatment readmission, and recovery-oriented social networks predicted abstinence at 5 years.
CONCLUSION: Our findings demonstrate a clear association between short-term and long-term treatment success. In addition, these results strongly support the importance of recovery-oriented social networks for those with good short-term outcomes, and the beneficial impact of readmission for those not initially successful in treatment.

Entities:  

Mesh:

Year:  2003        PMID: 12957346     DOI: 10.1016/s0376-8716(03)00167-4

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.492


  51 in total

1.  Application of multivariate probabilistic (Bayesian) networks to substance use disorder risk stratification and cost estimation.

Authors:  Lawrence Weinstein; Todd A Radano; Timothy Jack; Philip Kalina; John S Eberhardt
Journal:  Perspect Health Inf Manag       Date:  2009-09-16

2.  Predictors of Abstinence From Heavy Drinking During Follow-Up in COMBINE.

Authors:  Ralitza Gueorguieva; Ran Wu; Lisa M Fucito; Stephanie S O'Malley
Journal:  J Stud Alcohol Drugs       Date:  2015-11       Impact factor: 2.582

3.  Time to relapse following treatment for methamphetamine use: a long-term perspective on patterns and predictors.

Authors:  Mary-Lynn Brecht; Diane Herbeck
Journal:  Drug Alcohol Depend       Date:  2014-03-12       Impact factor: 4.492

Review 4.  Substance abuse treatment entry, retention, and outcome in women: a review of the literature.

Authors:  Shelly F Greenfield; Audrey J Brooks; Susan M Gordon; Carla A Green; Frankie Kropp; R Kathryn McHugh; Melissa Lincoln; Denise Hien; Gloria M Miele
Journal:  Drug Alcohol Depend       Date:  2006-06-08       Impact factor: 4.492

5.  Predictors of longitudinal substance use and mental health outcomes for patients in two integrated service delivery systems.

Authors:  Christine E Grella; Judith A Stein; Constance Weisner; Felicia Chi; Rudolf Moos
Journal:  Drug Alcohol Depend       Date:  2010-03-24       Impact factor: 4.492

6.  Disparities in pharmacotherapy for alcohol use disorder in the context of universal health care: a Swedish register study.

Authors:  Katherine J Karriker-Jaffe; Jianguang Ji; Jan Sundquist; Kenneth S Kendler; Kristina Sundquist
Journal:  Addiction       Date:  2017-05-16       Impact factor: 6.526

7.  Does sponsorship improve outcomes above Alcoholics Anonymous attendance? A latent class growth curve analysis.

Authors:  Jane Witbrodt; Lee Kaskutas; Jason Bond; Kevin Delucchi
Journal:  Addiction       Date:  2012-02       Impact factor: 6.526

8.  The role of medical conditions and primary care services in 5-year substance use outcomes among chemical dependency treatment patients.

Authors:  Jennifer R Mertens; Alan J Flisher; Derek D Satre; Constance M Weisner
Journal:  Drug Alcohol Depend       Date:  2008-06-20       Impact factor: 4.492

Review 9.  Predicting treatment outcome in stimulant dependence.

Authors:  Martina Reske; Martin P Paulus
Journal:  Ann N Y Acad Sci       Date:  2008-10       Impact factor: 5.691

10.  Does age at first treatment episode make a difference in outcomes over 11 years?

Authors:  Felicia W Chi; Constance Weisner; Christine E Grella; Yih-Ing Hser; Charles Moore; Jennifer Mertens
Journal:  J Subst Abuse Treat       Date:  2013-12-23
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