Classification of Mental Health Court Participants: Implications for Completion and Recidivism

The aims of this study were to (a) classify the types of individuals who might be most appropriately served by a mental health court (MHC) and (2) describe the association between class membership on recidivism and MHC completion. Criminal and treatment history data for 350 MHC participants were used. Class memberships were derived using hidden Markov models. Mediation analysis was then used determine the relationship between class, successful MHC completion, and recidivism. Modeling identified a three-class solution and a subsequent path analysis found that those classes associated with lower criminal justice system involvement were more likely to finish MHC successfully and were less likely to recidivate. This study supports research showing patterns of criminal behavior and health/mental health service use is associated with MHC completion and recidivism. The classification of individuals presented here may help court professionals determine to whom MHC should be offered.