Risk factors for dropout from psychological substance use disorder treatment programs in criminal justice settings

被引:1
|
作者
Lantz, Lina [1 ]
Chang, Zheng [2 ]
Virtanen, Suvi [2 ,3 ]
机构
[1] Uppsala Univ, Fac Med, Uppsala, Sweden
[2] Karolinska Inst, Dept Med Epidemiol & Biostat, SE-17177 Stockholm, Sweden
[3] Univ Eastern Finland, Sch Educ Sci & Psychol, Joensuu, Finland
关键词
Substance use; Criminal justice; Prison; Treatment; dropout; Risk factor; Psychological; ABUSE TREATMENT; PSYCHIATRIC-DISORDERS; SELF-HARM; PRISON; IMPULSIVITY; PREDICTORS; RETENTION; RELEASE; COMPLETION; MOTIVATION;
D O I
10.1016/j.drugalcdep.2024.111314
中图分类号
R194 [卫生标准、卫生检查、医药管理];
学科分类号
摘要
Background: Substance use disorders are highly prevalent in people within the criminal justice system. Psychological programs are the most common type of treatment available and have been shown to decrease recidivism, but dropping out of treatment is common. Risk factors associated with treatment dropout remain unclear in this setting, and whether the risk factors differ by treatment form (group -based vs. individual). Methods: Outcome (treatment dropout) was defined as not finishing the program due to client's own wish, misbehavior, no-shows, or because program leader found client to be unsuitable. Predictors of treatment dropout included a comprehensive set of individual -level clinical, socioeconomic, and crime -related pre-treatment characteristics. Multivariable regression models were used to estimate the associations between predictors and dropout. Findings: The study cohort included 5239 criminal justice clients who participated in a psychological treatment program (group -based or individual). Multivariable logistic regression models showed that female sex (OR =1.64, 95% CI 1.20-2.25), age (0.99, [0.97-1.00]), sentence length (0.98, [0.97-0.98]), higher education (0.54, [0.28-1.00]), number of violent offenses (1.03, [1.01-1.05]), and anxiety disorders (1.32, [1.01-1.72]) were associated with dropout from the individual treatment program. For the group -based program, age (OR =0.98, 95% CI 0.96-1.00), sentence length (OR =0.96, 95% CI 0.94-0.98), stimulant use disorder (OR =1.48, 95%, 1.00-2.19), and self -harm (OR 1.52, 95% CI 1.00-2.34) were associated with dropout. Conclusions: We identified certain sociodemographic, crime -related, and clinical characteristics that were particularly important in predicting dropout from psychological treatment. Further, we find that there are similarities and differences in predictors of dropout from group -based and individual treatment forms.
引用
收藏
页数:8
相关论文
共 50 条
  • [31] Risk of criminal justice system involvement among people with co-occurring severe mental illness and substance use disorder
    Prince, Jonathan D.
    Wald, Claudia
    INTERNATIONAL JOURNAL OF LAW AND PSYCHIATRY, 2018, 58 : 1 - 8
  • [32] Addressing substance abuse and violence in substance use disorder treatment and batterer intervention programs
    Timko, Christine
    Valenstein, Helen
    Lin, Patricia Y.
    Moos, Rudolf H.
    Stuart, Gregory L.
    Cronkite, Ruth C.
    SUBSTANCE ABUSE TREATMENT PREVENTION AND POLICY, 2012, 7
  • [33] Addressing substance abuse and violence in substance use disorder treatment and batterer intervention programs
    Christine Timko
    Helen Valenstein
    Patricia Y Lin
    Rudolf H Moos
    Gregory L Stuart
    Ruth C Cronkite
    Substance Abuse Treatment, Prevention, and Policy, 7
  • [34] Intention to quit tobacco use among clients in substance use disorder treatment settings
    Moore, Dennis
    Langlois, Marietta
    Gerber, Bridget M.
    Gaddis, Ray
    Hallam, Jeffrey S.
    Arnold, Rudy
    SUBSTANCE USE & MISUSE, 2007, 42 (05) : 871 - 879
  • [35] Predicting Dropout from Inpatient Substance Use Disorder Treatment: A Prospective Validation Study of the OQ-Analyst
    Brorson, Hanne H.
    Arnevik, Espen Ajo
    Rand, Kim
    SUBSTANCE ABUSE-RESEARCH AND TREATMENT, 2019, 13
  • [36] Factors Associated with HIV Testing Among Participants from Substance Use Disorder Treatment Programs in the US: A Machine Learning Approach
    Pan, Yue
    Liu, Hongmei
    Metsch, Lisa R.
    Feaster, Daniel J.
    AIDS AND BEHAVIOR, 2017, 21 (02) : 534 - 546
  • [37] Factors Associated with HIV Testing Among Participants from Substance Use Disorder Treatment Programs in the US: A Machine Learning Approach
    Yue Pan
    Hongmei Liu
    Lisa R. Metsch
    Daniel J. Feaster
    AIDS and Behavior, 2017, 21 : 534 - 546
  • [38] Needs-service matching in substance use disorder treatment programs
    Byrnes, HF
    Finney, J
    Tier, OQ
    Tregor, G
    Liu, L
    Kuang, S
    Strumolo, A
    ALCOHOLISM-CLINICAL AND EXPERIMENTAL RESEARCH, 2004, 28 (05) : 27A - 27A
  • [39] Availability of Outpatient Substance Use Disorder Treatment Programs in the United States
    Perron, Brian E.
    Gillespie, David F.
    Alexander-Eitzman, Ben
    Delva, Jorge
    SUBSTANCE USE & MISUSE, 2010, 45 (7-8) : 1097 - 1111
  • [40] Assessing continuity of care practices in substance use disorder treatment programs
    Schaefer, JA
    Cronkite, R
    Ingudomnukul, E
    JOURNAL OF STUDIES ON ALCOHOL, 2004, 65 (04): : 513 - 520