Who is analysing what? The opportunities, risks and implications of using predictive risk modelling with Indigenous Australians in child protection: A scoping review

Author(s):  
Jacynta Krakouer ◽  
Wei Wu Tan ◽  
Arno Parolini
Author(s):  
Hélène Vannier Ducasse

Abstract In UK, the involvement of the state in private family life has significantly changed since 1989, and is about to undergo yet further transformation with the adoption of predictive risk modelling. Its implementation by at least eight local authorities and promotion by the central government operates an ontological and methodological revolution in child protection policies and practice. This article particularly discusses the conceptual and empirical limits to their use. It makes the case that the data fed to risk models, and the institutional structures through which they are run, limit the understanding of maltreatment. Based on misleading evidence, risk models are set to mistakenly equate socio-economic disadvantage with risks, thus threatening to automatise the discrimination and alienation of the poorest sections of the population.


2017 ◽  
Vol 20 (9) ◽  
pp. 1208-1224 ◽  
Author(s):  
Stephen Bell ◽  
Peter Aggleton ◽  
James Ward ◽  
Lisa Maher

2020 ◽  
Author(s):  
Camila A Kairuz ◽  
Lisa M Casanelia ◽  
Keziah Bennett-Brook ◽  
Julieann Coombes ◽  
Uday Narayan Yadav

Abstract Background Racism is increasingly recognised internationally as a key factor contributing to health disparities. A comprehensive body of strong research from international authors has reported negative associations between racism and health outcomes. In Australia, although the literature is more limited, available findings follow global trends. Australia has an identified health gap between Aboriginal and Torres Strait Islander peoples and non-Indigenous Australians, and despite efforts to bridge this gap, health inequities continue to exist. This scoping review aims to assess, analyse and synthesise the relationship between racism and discrimination on the physical and mental health of Aboriginal and Torres Strait Islander peoples living in Australia.Method This is the study protocol for a scoping review. A systematic search will be conducted using five electronic databases: PubMed, CINAHL, Embase, Web of Science and the Australia’s National Institute for Aboriginal and Torres Strait Islander Health Research. The database search will include studies published between 2000 and 2020. Reference lists of the included articles will be searched. Outcome measures will include physical and mental health components including chronic conditions, depression and anxiety, psychological distress, social and emotional difficulties, suicide and health-related outcomes such as wellbeing and life satisfaction. Duplications will be removed, and titles and abstracts will be reviewed to select studies. Full-text screening of preselected studies will be performed by four reviewers independently, to select studies according to inclusion criteria. Included studies will be appraised for quality using appropriate tools tailored for each study design. Data will be extracted, and study findings and characteristics synthesised in a narrative summary. Discussion Our scoping review will synthesise the evidence on the impacts of racism and discrimination in relation to the physical and mental health of Aboriginal and Torres Strait Islander peoples living in Australia. These findings could guide future health interventions by addressing the exposure of racism and racial discrimination in order to reduce health disparity. It is anticipated the findings to be of interest to policymakers, researchers, Aboriginal and Torres Strait Islander communities and community health organisations and other stakeholders interested in optimising public health interventions for and in partnership with Aboriginal and Strait Torres Islander communities of Australia. Scoping review registration The protocol for this review has been registered on the International prospective register of systematic reviews (PROSPERO). The registration ID is CRD42020186193.


2021 ◽  
pp. 152483802110360
Author(s):  
Nutmeg Hallett ◽  
Joanna Garstang ◽  
Julie Taylor

Kinship care is a global phenomenon with a long history, which in high-income countries (HICs) at least, is being increasingly formalized through legislation and policy. There are many benefits to kinship care, including improved child mental health and well-being when compared to other types of out-of-home care. Despite this, kinship care is not without its risks with a lack of support and training for kinship carers putting children at an increased risk of abuse and neglect. This scoping review was conducted across 11 databases to explore the breadth and depth of the literature about abuse and neglect within kinship care in HICs and to provide initial indications about the relationship between kinship care and abuse. Of the 2,308 studies initially identified, 26 met the inclusion criteria. A majority of studies were from the United States, and most used case review methods. From the included studies, rates of re-abuse, and particularly rates of physical and sexual abuse, appear to be lower in kinship care settings when compared to other out-of-home care settings, but rates of neglect are often higher. This review has demonstrated that a small but significant number of children living in kinship care experience neglect or abuse.


2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Adam Burt ◽  
Deborah Mitchison ◽  
Kerrie Doyle ◽  
Phillipa Hay

Abstract Background Aboriginal and Torres Strait Islander Australians (Indigenous Australians) have poorer mental health compared to other Australians. Yet, there is a lack of research into mental disorders among this population, especially for eating disorders (ED), which are amongst the most lethal and debilitating mental disorders. Aim We aimed to answer 2 questions: 1. What is the volume and content of literature on ED among Indigenous Australians? 2. Has a screening or diagnostic tool/instrument been developed for the assessment of ED amongst Indigenous Australians? Method We conducted a scoping review of electronic databases (Pubmeb, Embase, PsychInfo, Proquest, Cochrane Library, Indigenous HealtInfoNet and Scopus), for studies addressing ED, body image, muscle dysmorphia, weight and shape concern among Indigenous Australians, as well as diagnostic and screening tools. All relevant studies were reviewed in full by 2 researchers. Narrative synthesis of the data was performed. Results There is limited evidence for ED among Indigenous Australians, however, the evidence available strongly suggests that ED are more common among Indigenous Australians compared to other Australians. Eating disorders among Indigenous Australians are also associated with high levels of overvaluation of weight and shape. The increased risk of ED among Indigenous Australians was largely explained by factors such as poorer psychosocial wellbeing. No evidence was found for the existence of validated diagnostic or screening tools for ED in Indigenous Australians. Conclusion The evidence suggests ED are common among Indigenous Australians, and there are no diagnostic or screening tools available to assist clinicians in assessing them. More research is required in this field, especially towards the development of a validated and culturally specific screening or diagnostic tool for ED among Indigenous Australians.


2019 ◽  
Vol 53 (01n02) ◽  
pp. 15-27
Author(s):  
NEIL BALLANTYNE

This article reviews the political and ethical dimensions of technology applications in social work by focusing on a descriptive case study. The case study is of an initiative undertaken by the New Zealand government between 2011 and 2015 to develop an algorithm that would allow child protection services to predict future child maltreatment at the point of birth and to pre-empt it before it occurs. The paper explores the new threats to human rights and social justice associated with the rise of algorithmic governance and explores the sources of algorithmic injustice. It also outlines some of the key ethical issues and political challenges associated with algorithmic governance.


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