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Adolescent Community Reinforcement Approach (A-CRA)

Substance Use Disorders: Treatment for Youth
  Literature review updated September 2018.
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Adolescent Community Reinforcement Approach (A-CRA) is a behavioral intervention that aims to support recovery from substance use disorders. A-CRA targets youth aged 12 to 25 years old with clinical diagnosis of a substance use disorder. The A-CRA model has guidelines for three types of sessions: adolescents alone, caregivers alone, and adolescents and caregivers together. A participant’s specific needs are determined and then inform which among the 17 A-CRA components a youth would receive. These components encourage problem-solving skills to cope with stressors, communication skills, and participation in positive social and recreational activities.

In the included study, participants were homeless youth who received 12 weekly individual sessions with a trained provider. The comparison youth were referred to usual services found in a community drop-in center.
 
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META-ANALYSIS
CITATIONS

Meta-analysis is a statistical method to combine the results from separate studies on a program, policy, or topic in order to estimate its effect on an outcome. WSIPP systematically evaluates all credible evaluations we can locate on each topic. The outcomes measured are the types of program impacts that were measured in the research literature (for example, crime or educational attainment). Treatment N represents the total number of individuals or units in the treatment group across the included studies.

An effect size (ES) is a standard metric that summarizes the degree to which a program or policy affects a measured outcome. If the effect size is positive, the outcome increases. If the effect size is negative, the outcome decreases. See Estimating Program Effects Using Effect Sizes for additional information.

Adjusted effect sizes are used to calculate the benefits from our benefit cost model. WSIPP may adjust effect sizes based on methodological characteristics of the study. For example, we may adjust effect sizes when a study has a weak research design or when the program developer is involved in the research. The magnitude of these adjustments varies depending on the topic area.

WSIPP may also adjust the second ES measurement. Research shows the magnitude of some effect sizes decrease over time. For those effect sizes, we estimate outcome-based adjustments which we apply between the first time ES is estimated and the second time ES is estimated. We also report the unadjusted effect size to show the effect sizes before any adjustments have been made. More details about these adjustments can be found in our Technical Documentation.

Meta-Analysis of Program Effects
Outcomes measured No. of effect sizes Treatment N Adjusted effect size(ES) and standard error(SE) Unadjusted effect size (random effects model)
ES SE Age ES p-value
19 1 81 -0.275 0.193 19 -0.275 0.154
19 1 81 -0.396 0.226 19 -0.396 0.080
19 1 81 -0.405 0.194 19 -0.405 0.037
19 1 81 -0.097 0.193 19 -0.097 0.615
19 1 81 -0.362 0.194 19 -0.362 0.062

Citations Used in the Meta-Analysis

Slesnick, N., Prestopnik, J.L., Meyers, R.J., & Glassman, M. (2007). Treatment outcome for street-living, homeless youth. Addictive Behaviors, 32(6), 1237-1251.