A comparison of scoring models for computerised mental health screening for federal prison inmates.

BACKGROUND: There are high rates of mental disorder in correctional environments, so effective mental health screening is needed. Implementation of the computerised mental health screen of the Correctional Service of Canada has led to improved identification of offenders with mental health needs but with high rates of false positives. AIMS: The goal of this study is to evaluate the use of an iterative classification tree (ICT) approach to mental health screening compared with a simple binary approach using cut-off scores on screening tools. METHODS: A total of 504 consecutive admissions to federal prison completed the screen and were also interviewed by a mental health professional. Relationships between screening results and more extended assessment and clinical team discussion were tested. RESULTS: The ICT was more parsimonious in identifying probable 'cases' than standard binary screening. ICT was also highly accurate at detecting mental health needs (AUC=0.87, 95% CI 0.84-0.90). The model identified 118 (23.4%) offenders as likely to need further assessment or treatment, 87% of whom were confirmed cases at clinical interview. Of the 244 (48.4%) offenders who were screened out, only 9% were clinically assessed as requiring further assessment or treatment. Standard binary screening was characterised by more false positives and a comparable false negative rate. CONCLUSIONS: The use of ICTs to interpret screening data on the mental health of prisoners needs further evaluation in independent samples in Canada and elsewhere. This first evaluation of the application of such an approach offers the prospect of more effective and efficient use of the scarce resource of mental health services in prisons. Although not required, the use of computers can increase the ease of implementing an ICT model.

Stopping the revolving door: a meta-analysis on the effectiveness of interventions for criminally involved individuals with major mental disorders.

Faced with high and increasing rates of mental disorder within the criminal justice system (CJS), a range of interventions have been implemented in an effort to prevent continued involvement in criminal activities among this population. A meta-analytic review was undertaken to consider the effectiveness of interventions for criminally involved adults with a mental disorder targeting either improved criminal justice or mental health outcomes. Furthermore, characteristics that were hypothesized to predict better outcomes were examined. Studies that considered sex offender interventions, or focused solely on antisocial personality, intellectual and cognitive, or substance use disorders were excluded. Results assuming a fixed-effects model combining 37 effect sizes from 25 studies (N = 15,678) support the effectiveness of these interventions in terms of reductions in any CJS involvement (d = 0.19 excluding one outlier). Interventions had no significant effect on an aggregate mental health outcome (d = 0.00). However, when considering distinct mental health outcomes, intervention participants had significantly better functioning (d = 0.20) and fewer symptoms (d = 0.12). There were no significant effects of the interventions on mental health service or medication use. Moderator analyses identified seven sample, intervention, and design characteristics that were related to the magnitude of the effect sizes for criminal justice outcomes, and suggest implications for service provision, policy, and research. Results suggested some relationship between intervention effects on mental health and criminal justice reinvolvement, although future research is needed in this area, especially given the absence of mental health outcome data in many studies.