Pretreatment and during treatment risk factors for dropout among patients with substance use disorders
- PMID: 15979244
- DOI: 10.1016/j.addbeh.2005.05.024
Pretreatment and during treatment risk factors for dropout among patients with substance use disorders
Abstract
Objective: The aim of this study was to use pretreatment and treatment factors to predict dropout from residential substance use disorder program and to examine how the treatment environment modifies the risk for dropout.
Method: This study assessed 3649 male patients at entry to residential substance use disorder treatment and obtained information about their perceptions of the treatment environment.
Results: Baseline factors that predicted dropout included younger age, greater cognitive dysfunction, more drug use, and lower severity of alcohol dependence. Patients in treatment environments appraised as low in support or high in control also were more likely to drop out. Further, patients at high risk of dropout were especially likely to dropout when treated in a highly controlling treatment environment.
Conclusion: Better screening of risk factors for dropout and efforts to create a less controlling treatment environment may result in increased retention in substance use disorder treatment.
Similar articles
-
Distress tolerance as a predictor of early treatment dropout in a residential substance abuse treatment facility.J Abnorm Psychol. 2005 Nov;114(4):729-34. doi: 10.1037/0021-843X.114.4.729. J Abnorm Psychol. 2005. PMID: 16351393
-
Therapeutic alliance, patient behaviour and dropout in a drug rehabilitation programme: the moderating effect of clinical subpopulations.Addiction. 2007 Dec;102(12):1960-70. doi: 10.1111/j.1360-0443.2007.02027.x. Addiction. 2007. PMID: 18031431
-
Client retention in residential drug treatment for Latinos.Eval Program Plann. 2008 Feb;31(1):102-12. doi: 10.1016/j.evalprogplan.2007.05.008. Epub 2007 Jul 4. Eval Program Plann. 2008. PMID: 18222144
-
Predictors of dropout among men who batter: a review of studies with implications for research and practice.Violence Vict. 2000 Summer;15(2):137-60. Violence Vict. 2000. PMID: 11108498 Review.
-
Back to basics: fundamental cognitive therapy skills for keeping drug-dependent individuals in treatment.NIDA Res Monogr. 1997;165:207-32. NIDA Res Monogr. 1997. PMID: 9243552 Review.
Cited by
-
Disadvantageous Decision-Making as a Predictor of Drop-Out among Cocaine-Dependent Individuals in Long-Term Residential Treatment.Front Psychiatry. 2013 Nov 15;4:149. doi: 10.3389/fpsyt.2013.00149. eCollection 2013. Front Psychiatry. 2013. PMID: 24298260 Free PMC article.
-
Methods to analyze treatment effects in the presence of missing data for a continuous heavy drinking outcome measure when participants drop out from treatment in alcohol clinical trials.Alcohol Clin Exp Res. 2014 Nov;38(11):2826-34. doi: 10.1111/acer.12543. Alcohol Clin Exp Res. 2014. PMID: 25421518 Free PMC article. Clinical Trial.
-
Positive Effects of Laser Acupuncture in Methamphetamine Users Undergoing Group Cognitive Behavioral Therapy: A Pilot Study.Evid Based Complement Alternat Med. 2021 May 22;2021:5514873. doi: 10.1155/2021/5514873. eCollection 2021. Evid Based Complement Alternat Med. 2021. PMID: 34122593 Free PMC article.
-
Seeing the forest for the trees: Predicting attendance in trials for co-occurring PTSD and substance use disorders with a machine learning approach.J Consult Clin Psychol. 2021 Oct;89(10):869-884. doi: 10.1037/ccp0000688. J Consult Clin Psychol. 2021. PMID: 34807661 Free PMC article.
-
Assessing health service satisfaction among users with substance use disorders within the municipalities in Norway.Subst Abuse Treat Prev Policy. 2019 May 6;14(1):18. doi: 10.1186/s13011-019-0207-4. Subst Abuse Treat Prev Policy. 2019. PMID: 31060571 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical