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Literature review

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Young people, online worlds and respectful relationships education: what the research tells us


This research summary aims to inform the design and development of evidence-based teaching and learning materials that are relevant to and supportive of children and young people, to enable respectful, equitable, inclusive and safe relationships in the Australian context. It examines young people’s experiences of sex, gender and relationships, both online and offline.
Report

Risk and protective factors for child abuse and neglect


Child abuse and neglect is a major problem in Australia. This policy and practice paper provides an overview of recent research evidence on the risk and protective factors for child abuse and neglect in families. It also discusses how knowledge of risk and protective factors can inform practice for practitioners and other professionals working with...
Journal article

Access to preventive health assessments for people with intellectual disability

Sally Hall Dykgraaf, Paul Caltabiano, Bradley Shea, Nicholas Lennox, Kanchana Ekanayake, Ross Stewart Bailie
This scoping review examines the multiple dimensions of access to health assessments; identifying the supply- and demand-side factors that impact access for people with intellectual disability. It concludes that supply-side factors are well-documented, while demand-side factors warrant further investigation and research.
Report

Preventing suicides of First Nations people

Tjalaminu Mia, Julie Robotham, Australian Institute of Health and Welfare

This paper explores the existing literature, data and lived experience relating to suicide prevention for First Nations people. It brings together community knowledge, research and policy to highlight what is already known about protective factors, particularly the roles of culture, connection, self-determination and healing. The paper concludes by arguing that First Nations suicide prevention requires...
Report

AI-assisted vs human-only evidence review


This report describes an exercise to investigate the robustness and reliability of using generative AI to help produce rapid evidence reviews. The AI-assisted output was completed in 23% less time than the human-only output but was judged to be less fluent and required more revisions.