Predicting program success for adult offenders with serious mental illness in a court ordered diversion program

ABSTRACT

Individuals with mental illnesses are disproportionately involved with the criminal justice system and are now being diverted from jails to community-based supervision. This study examines secondary data from a state hospital, mental health diversion program. Logistic regression was used to examine risk factors that best predicted successful program completion. Results indicate that non-whites are more likely to complete. Participants in supervised housing, ever been re-hospitalized, diagnosed with a depressive or psychotic disorder or who had their probation revoked were less likely to complete. Findings indicate practitioners should provide a holistic and individually oriented treatment approach for success.