Validated and culturally specific screening tools and early response programs for the detection and prevention of eating disorders among First Nations peoples in Australia: a scoping review
Bibliographic record
Abstract
Eating disorders (EDs) are complex mental health conditions that can have severe health consequences, exacerbating the overall disease burden and causing significant economic impacts on healthcare systems. Globally, cultural and societal factors influence the presentation and management of these disorders, necessitating culturally specific approaches to screening and prevention. Among First Nations peoples in Australia, the intersection of historical, cultural, and social factors offers both context and strength in addressing EDs, while also presenting distinct challenges in identification and prevention. This scoping review seeks to map and evaluate existing research on culturally specific and validated screening tools and early response programs tailored for the prevention and detection of EDs among the First Nations population in Australia. The goal is to acquire relevant information and identify gaps that need to be addressed in the literature to develop standardised screening tools and early response programs that are validated, effective, and culturally sensitive. A literature search was conducted through seven online academic databases (PubMed, MEDLINE, PsycINFO, Scopus, Web of Science, CINAHL, and Informit) and included publications from 2009 to 2024. The search strategy focused on ED prevention strategies among First Nations peoples in Australia, with emphasis on screening tools and early response programs. The scoping review found no culturally specific and validated screening tools and early response programs exist that have been specifically developed for First Nations peoples in Australia. After removing the cultural specificity criterion, seven studies were found that utilised six different screening tools and one early response program. Participant demographics across these studies were predominantly Caucasians or non-Indigenous, with First Nations individuals being underrepresented in sample sizes. The findings reveal significant gaps in literature on culturally specific screening tools and early response programs for eating disorders among First Nations peoples in Australia. Existing studies often underrepresent these populations and rely on tools designed for non-Indigenous groups, questioning the generalisability of the effectiveness to First Nations peoples in Australia. This review emphasises the need for future research to adopt culturally competent methodologies led by First Nations peoples. Developing culturally specific tools and programs is crucial for improving health outcomes and achieving equitable mental health within Australian healthcare systems, ensuring that resources are justly distributed. Eating disorders (EDs) are serious mental health conditions that affect people differently based on their cultural background. This research looked at how First Nations peoples in Australia are supported in detecting and preventing eating disorders. We found that most tools and programs used today were designed for non-Indigenous communities and do not consider the unique cultural needs, histories, and strengths of First Nations peoples. Our team reviewed existing studies and found no tools or programs specifically created for First Nations communities. Even when we included general tools, very few First Nations peoples were part of the research - on average, only 6% of participants. This makes it hard to know if these tools or programs work well for their needs. This gap in culturally safe resources can lead to unequal health outcomes. We urge researchers and healthcare systems to partner with First Nations communities to develop tools and programs that respect their cultural values. By centring First Nations voices and leadership, we can create better solutions that truly meet their needs. Together, we can work toward fairer mental health care for all.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".