The current study examined the impact of a mental health court (MHC) on mental health recovery, criminogenic needs, and recidivism in a sample of 196 community-based offenders with mental illness. Using a pre-post design, mental health recovery and criminogenic needs were assessed at the time of MHC referral and discharge. File records were reviewed to score the Level of Service/Risk-Need-Responsivity instrument (Andrews, Bonta, & Wormith, 2008) to capture criminogenic needs, and a coding guide was used to extract mental health recovery information at each time point. Only mental health recovery data were available at 12 months post-MHC involvement. Recidivism (i.e., charges) was recorded from police records over an average follow-up period of 40.67 months post-MHC discharge. Case management adherence to the Risk-Need-Responsivity (RNR) model of offender case management was also examined. Small but significant improvements were found for criminogenic needs and some indicators of mental health recovery for MHC completers relative to participants who were prematurely discharged or referred but not admitted to the program. MHC completers had a similar rate of general recidivism (28.6%) to cases not admitted to MHC and managed by the traditional criminal justice system (32.6%). However, MHC case plans only moderately adhered to the RNR model. Implications of these results suggest that the RNR model may be an effective case management approach for MHCs to assist with decision-making regarding admission, supervision intensity, and intervention targets, and that interventions in MHC contexts should attend to both criminogenic and mental health needs.

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The risk-need-responsivity model (RNR; Bonta & Andrews, 2017) has become a leading approach for effective offender case management, but field tests of this model are still required. The present study first assessed the predictive validity of the RNR-informed Level of Service/Case Management Inventory (LS/CMI; Andrews, Bonta, & Wormith, 2004) with a sample of Atlantic Canadian male and female community-supervised provincial offenders (N = 136). Next, the case management plans prepared from these LS/CMI results were analyzed for adherence to the principles of risk, need, and responsivity. As expected, the LS/CMI was a strong predictor of general recidivism for both males (area under the curve = .75, 95% confidence interval [.66, .85]), and especially females (area under the curve = .94, 95% confidence interval [.84, 1.00]), over an average 3.42-year follow-up period. The LS/CMI was predictive of time to recidivism, with lower risk cases taking longer to reoffend than higher risk cases. Despite the robust predictive validity of the LS/CMI, case management plans developed by probation officers generally reflected poor adherence to the RNR principles. These findings highlight the need for better training on how to transfer risk appraisal information from valid risk tools to case plans to better meet the best-practice principles of risk, need, and responsivity for criminal behavior risk reduction. (PsycINFO Database Record