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Background: It is well established that First Nations Peoples in Australia are overrepresented within the criminal justice system. However, First Nations Peoples appear to be comparatively underrepresented in the forensic mental health system, and little is known about their outcomes once released from secure care. Objective: To compare the characteristics and rates of repeat criminal justice contact for a criminal charge of First Nations and non-First Nations forensic patients in New South Wales. Methods: Data on the sample were extracted from the New South Wales Mental Health Review Tribunal paper and electronic files matched to the Bureau of Crime Statistics and Research Reoffending Database. Characteristics of First Nations and non-First Nations patients were compared using univariate logistic regression analysis. Univariate and multivariate Cox proportional hazard regression was used to determine predictors of post-release criminal charges. Results: Key differences in the sociodemographic, clinical and forensic characteristics of First Nations compared with non-First Nations forensic patients were identified. The time to first criminal justice contact following release was significantly shorter for First Nations forensic patients (p < 0.01). Conclusion: The findings of this study confirm that First Nations forensic patients have distinct and complex needs that are apparent at entry to the forensic mental health system and that their poorer criminal justice contact rates following release from secure care indicate that these needs are not being adequately met either during treatment or once in the community. Responses to these study findings must consider the complex and continuing impact of colonisation on First Nations Peoples, as well as the need for solutions to be culturally safe. [ABSTRACT FROM AUTHOR]

Background: The need to understand and respond to the unique characteristics and drivers of suicidal behaviour in rural areas has been enabled through the Australian Government's 2015 mental health reforms facilitating a move to an evidence-based, regional approach to suicide prevention. However, a key challenge has been the complex decision-making environment and lack of appropriate tools to facilitate the use of evidence, data and expert knowledge in a way that can inform contextually appropriate strategies that will deliver the greatest impact. This paper reports the co-development of an advanced decision support tool that enables regional decision makers to explore the likely impacts of their decisions before implementing them in the real world. Methods: A system dynamics model for the rural and remote population catchment of Western New South Wales was developed. The model was based on defined pathways to mental health care and suicidal behaviour and reproduced historic trends in the incidence of attempted suicide (self-harm hospitalisations) and suicide deaths in the region. A series of intervention scenarios were investigated to forecast their impact on suicidal behaviour over a 10-year period. Results: Post-suicide attempt assertive aftercare was forecast to deliver the greatest impact, reducing the numbers of self-harm hospitalisations and suicide deaths by 5.65% (95% interval, 4.87−6.42%) and 5.45% (4.68−6.22%), respectively. Reductions were also projected for community support programs (self-harm hospitalisations: 2.83%, 95% interval 2.23−3.46%; suicide deaths: 4.38%, 95% interval 3.78−5.00%). Some scenarios produced unintuitive impacts or effect sizes that were significantly lower than what has been anticipated under the traditional evidence-based approach to suicide prevention and provide an opportunity for learning. Conclusion: Systems modelling and simulation offers significant potential for regional decision makers to better understand and respond to the unique characteristics and drivers of suicidal behaviour in their catchments and more effectively allocate limited health resources. [ABSTRACT FROM AUTHOR]