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BackTrack is a multi-component, community-based program designed to build capacity amongst high-risk young people. The aim of this study was to conduct a benefit-cost analysis of BackTrack, which was implemented in Armidale, a rural town in New South Wales, Australia. Costs and benefits were identified, measured and valued in 2016 Australian dollars. Costs were estimated from program financial and administrative records. Benefits were estimated using a pre-post design and conservative economic assumptions. Benefits included education attendance or completion; employment; engagement with health service providers; reduced homelessness; economic productivity; reduced vandalism to local infrastructure; reduced youth crime; reduced engagement with the justice system; and program income generated by participants. The counterfactual baseline was zero educational outcome, based on discussions with BackTrack staff and expert informants. We tested this assumption compared to the assumption that participants had a Year 8 education. There was evidence of significant quantifiable improvements in several outcomes: high school attendance or completion, vocational education attendance or completion, unskilled or vocationally qualified employment and economic productivity. Reduced homelessness, engagement with health services and acquisition of job readiness skills, as well as reduced local infrastructure vandalism and reduced crime were further quantifiable improvements. The net social benefit of BackTrack was estimated at $3,267,967 with a benefit-cost ratio of 2.03, meaning that every dollar invested in BackTrack would return $2.03 in benefits. BackTrack represents a viable funding option for a government interested in addressing the needs of high-risk young people.

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BACKGROUND AND AIMS: Given ongoing community concern about high rates of alcohol-related crimes (ARCs) experienced by disadvantaged populations, a more specific and nuanced understanding of factors associated with ARCs would help inform the development of more sophisticated programs and policies aimed at reducing ARCs. This study estimates rates of ARCs across all communities in New South Wales (NSW), Australia, using routinely collected police data; investigates whether there are differences between communities; and identifies individual and community characteristics that are significantly associated with higher rates of ARCs. SHORT SUMMARY: This study analysed routinely collected police data in New South Wales, Australia, to identify individual and community characteristics associated with alcohol-related crimes. Young people, Aboriginal Australians, socio-economically disadvantaged communities, remote and regional communities and communities with higher per capita rate of on-venue liquor licenses are at risk of alcohol-related crimes. METHODS: Age standardized rates of ARCs were calculated. A multi-level Poisson regression analysis was conducted to investigate the individual and community factors that were statistically significantly associated with higher rates of ARC, separately for Aboriginal and non-Aboriginal Australians. RESULTS: Rates of ARCs were statistically significantly higher for Aboriginal Australians, young people (aged 13-37 years) and on weekends. ARCs varied significantly across communities, and were significantly higher in remote or regional communities, in communities with a higher per capita rate of on-venue licences, and for socio-economically disadvantaged communities for non-Aboriginal Australians, but not for Aboriginal females. CONCLUSION: This analysis shows that the impact of national-level and jurisdictional-level legislation and policies is uneven across communities and defined populations, leaving young people, socio-economically disadvantaged communities and Aboriginal Australians at increased risk of ARCs. To more equitably reduce the exposure of all Australians to ARC, mechanisms that effectively engage vulnerable communities and defined populations, need to be developed in consultation with them, implemented and evaluated.

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BACKGROUND: Young people who engage in multiple risk behaviour (high-risk young people) such as substance abuse, antisocial behaviour, low engagement in education and employment, self-harm or suicide ideation are more likely to experience serious harms later in life including homelessness, incarceration, violence and premature death. In addition to personal disadvantage, these harms represent an avoidable social and economic cost to society. Despite these harms, there is insufficient evidence about how to improve outcomes for high-risk young people. A key reason for this is a lack of standardisation in the way in which programs provided by services are defined and evaluated. METHODS: This paper describes the development of a standardised intervention model for high-risk young people. The model can be used by service providers to achieve greater standardisation across their programs, outcomes and outcome measures. To demonstrate its feasibility, the model is applied to an existing program for high-risk young people. CONCLUSIONS: The development and uptake of a standardised intervention model for these programs will help to more rapidly develop a larger and more rigorous evidence-base to improve outcomes for high-risk young people.

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BACKGROUND: There is little evidence about how to improve outcomes for high-risk young people, of whom Indigenous young people are disproportionately represented, due to few evaluation studies of interventions. One way to increase the evidence is to have researchers and service providers collaborate to embed evaluation into the routine delivery of services, so program delivery and evaluation occur simultaneously. This study aims to demonstrate the feasibility of integrating best-evidence measures into the routine data collection processes of a service for high-risk young people, and identify the number and nature of risk factors experienced by participants. METHODS: The youth service is a rural based NGO comprised of multiple program components: (i) engagement activities; (ii) case management; (iii) diversionary activities; (iv) personal development; and (v) learning and skills. A best-evidence assessment tool was developed by staff and researchers and embedded into the service's existing intake procedure. Assessment items were organised into demographic characteristics and four domains of risk: education and employment; health and wellbeing; substance use; and crime. Descriptive data are presented and summary risk variables were created for each domain of risk. A count of these summary variables represented the number of co-occurring risks experienced by each participant. The feasibility of this process was determined by the proportion of participants who completed the intake assessment and provided research consent. RESULTS: This study shows 85% of participants completed the assessment tool demonstrating that data on participant risk factors can feasibly be collected by embedding a best-evidence assessment tool into the routine data collection processes of a service. The most prevalent risk factors were school absence, unemployment, suicide ideation, mental distress, substance use, low levels of physical activity, low health service utilisation, and involvement in crime or with the juvenile justice system. All but one participant experienced at least two co-occurring domains of risk, and the majority of participants (58%) experienced co-occurring risk across four domains. CONCLUSIONS: This is the first study to demonstrate that best-evidence measures can feasibly be embedded into the routine data collection processes of a service for high-risk young people. This process allows services to tailor their activities to the most prevalent risks experienced by participants, and monitor these risks over time. Replication of this process in other services would improve the quality of services, facilitate more high quality evaluations of services, and contribute evidence on how to improve outcomes for high-risk young people.

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OBJECTIVE: To identify evaluations of interventions that target multiple risk factors in high-risk young people, describe their characteristics, critique their methodological quality and summarise their effectiveness. METHODS: A search of the literature published between 2009 and 2014 identified 13 evaluations of interventions that targeted multiple risk factors, compared to 95 evaluations that targeted single risk factors. The methodological adequacy of the 13 evaluation studies was analysed using the Quality Assessment Tool for Quantitative Studies and information regarding characteristics and intervention effectiveness was extracted and summarised. RESULTS: There were very few outcome evaluation studies of interventions that targeted multiple risk factors, relative to single risk factors, among high-risk young people. Of the identified studies, half were methodologically weak. Interventions delivered in community settings targeted a greater number of risk factors, while those delivered in a school or health setting reported a higher proportion of statistically significant outcomes. No economic analyses were conducted. Conclusions and Implications for Public Health: More methodologically rigorous evaluations of interventions targeting multiple risk factors among high-risk young people are required, especially for those delivered in community settings. Four key areas for improvement are: i) more precisely defining the risk factors experienced by high-risk young people; ii) achieving greater consistency across interventions; iii) standardising outcome measures; and iv) conducting economic analyses.

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OBJECTIVE: In recent years, there has been a call for greater awareness of the relationship between trauma and psychosis, and several studies involving patients with psychotic disorders have found a link between traumatic life experience and the development of psychosis. However, little research has examined psychotic experiences in a traumatised population. METHOD: This study investigated psychotic experiences in a sample of 40 survivors of sexual assault (SA) compared to a control group without a history of sexual assault (measured using a self-report questionnaire) and examined the psychological factors that may contribute to the development of psychotic experiences in sexually traumatised individuals. In particular, the role of dissociation and cognitive factors such as post-traumatic cognitions were explored. RESULTS: Of the 26 sexually assaulted participants that were interviewed, 46% reported auditory hallucinations and 46% reported visual hallucinations. A significantly higher rate of psychotic phenomena (delusional ideation and predisposition to hallucinations) was found in the sexually assaulted group compared to the control group. Severity of SA trauma was significantly associated with severity of PTSD and psychotic symptomatology. Dissociation was strongly associated with all measures of psychotic phenomena and negative cognitions about the self and the world were associated with predisposition to hallucinations and delusional ideation. Regression analyses revealed that after controlling for the severity of SA trauma, dissociation and negative beliefs about the self significantly predicted delusional distress, and dissociation significantly predicted predisposition to visual hallucinations. CONCLUSIONS: These exploratory findings support the idea that psychotic phenomena may be caused by traumatic life experiences and highlight the need for further research. The implications of these results for research and clinical practice are discussed.

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