Understanding the Wellbeing Needs of First Nations Children in Out-of-Home Care in Australia: A Comprehensive Literature Review
Bibliographic record
Abstract
Introduction: Despite the increasing overrepresentation of Aboriginal and Torres Strait Islander (hereafter respectfully referred to as First Nations) children living in out-of-home care (OOHC) in Australia, little is known about their wellbeing needs. This comprehensive literature review aimed to identify these needs and the features of care required to meet them. Methods: MEDLINE, CINAHL, Scopus, Informit, PsycINFO, and Embase databases and relevant grey literature were searched from inception to December 2023 for articles presenting qualitative accounts and perspectives relevant to the wellbeing needs of First Nations children in OOHC. These included reports from First Nations children in OOHC; First Nations adults with lived experience of OOHC; carers, caseworkers, and organizational stakeholders; and First Nations community members with relevant lived and/or professional experience. We used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and Braun and Clarke’s reflexive thematic analysis method for data analysis. Results: Thirty-five articles (19 peer-reviewed, 16 grey literature) met the inclusion criteria. Our analysis revealed six wellbeing needs of First Nations children in OOHC: Being seen, being heard; a sense of stability; holistic health support; social and cultural connections; culturally safe OOHC providers; and preparedness for transitioning out of care. A range of features of OOHC were also identified as critical for supporting these needs. Conclusions: Our findings suggest that First Nations children in OOHC have unique wellbeing needs in addition to safety, security, and health. Attention to the development and maintenance of social and cultural connections is an important concern that must be addressed by OOHC providers (caseworkers and organizations) and carers and supported by OOHC policy and the associated systems in Australia as part of providing culturally safe and supportive care.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.017 | 0.014 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".