Investigating Mental Health Implications for Drug Court Participants.

Drug Court Treatment (DCT) Programs seek to integrate substance abuse treatment into the criminal justice system by providing a structured environment for offenders who engage in treatment in lieu of incarceration. DCT has shown successes in reducing drug/alcohol use, recidivism, and cost, but the impact of DCT on non-substance-related mental health outcomes is less clear. This study evaluated mental health correlates within a DCT sample through analyses of participants' pre-entry and pre-graduation Minnesota Multiphasic Personality Inventory-Second Edition (MMPI-2) profiles. When diagnostic information was available, mood disorders had the highest comorbidity with alcohol/substance use diagnoses. Comparisons across administrations of the MMPI-2 indicated significant differences among mean scores on 6 Clinical scales, and mean profile elevation scores significantly decreased. Results suggest a significant presence of mental health comorbidities in DCT programs, and significant mental health improvements were seen for graduates, suggesting the utility of DCT for treating mental health problems in addition to substance use.

Using the PAI-A to Classify Juvenile Offenders by Adjudicated Offenses.

To improve understanding and treatment of criminal behavior, researchers have developed typologies of juvenile offenders, primarily focusing on personality traits and criminal history to classify according to type of offense committed. Existing literature has examined underlying personality characteristics found in different subcategories of criminal offenses in juveniles; however, few studies have employed the Personality Assessment Inventory-Adolescent (PAI-A), instead choosing the MMPI-A. A typical classification model of juvenile offenses categorizes offenses into: Interpersonal, Property, and Drug/Alcohol-related charges, to further study within-group differences. The current study examines how personality profiles, examined by the PAI-A, can classify offenders into these offense-type groups. Personality profiles of participants were obtained through pre-sentencing psychological evaluations of 142 juvenile offenders ages 14 to 17. Binary logistic regressions were conducted using PAI-A Clinical, Treatment Consideration, and Interpersonal scales to predict offense-type group classifications. Results yielded statistically significant full models for all offense-type groups, with an average overall accuracy rate of 76.3%. Overall, results suggest that the PAI-A has good predictive power to classify juvenile offender types, and may be more effective in classifying certain types of offenders than the MMPI-A. Notably, Interpersonal and Treatment consideration scales were stronger predictors of offense-type than Clinical scales. This model of juvenile offender classification holds promise for more effective treatment, management, and prediction of behavior for juvenile offenders.