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Predicting program success for adult offenders with serious mental illness in a court ordered diversion program [2018]

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.

Alesa Liles , Ph.D., MSW, Johanna Thomas , Ph.D., LMSW & Stacy Moak , JD, Ph.D.

Social Work in Mental Health, Volume 16, 2018 – Issue 6

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