The Marurra-U Partnership: providing a hybrid, multidisciplinary, wraparound model of care for Aboriginal children living with complex needs in the remote Fitzroy Valley, Australia
Bibliographic record
Abstract
INTRODUCTION: Aboriginal and Torres Strait Islander peoples have knowledge and strengths to promote health and wellbeing in their communities. There is a need to understand how multidisciplinary models of care and partnerships between Aboriginal Community-Controlled Organisations and health service providers can improve outcomes for children with complex needs. The aim of this study is to describe the development, characteristics, and implementation of the Marurra-U Partnership, which is a hybrid (telecare and in-person), multidisciplinary, wraparound model of care for children with complex neurodevelopmental needs and their families in the Fitzroy Valley, Kimberley Region, Western Australia. METHODS: This study is part of a broader research program that used an Aboriginal Participatory Action Research approach. In-depth interviews were conducted with eleven staff involved in designing and implementing the Marurra-U Partnership. Data were analysed using reflexive thematic analysis. RESULTS: Five themes were constructed relevant to the aim of the study: 1) responding to the need for multidisciplinary, wraparound services for Aboriginal children with complex needs in the Kimberley; 2) strengths, resilience, and future directions of the partnership; 3) principles and characteristics of the model of care; 4) climate change, environmental factors and geographic remoteness as consistent challenges to implementation of the model of care; and 5) shared recognition of the importance of genuine community partnership and leadership to implement models of care like Marurra-U. DISCUSSION: The Marurra-U Partnership, between an Aboriginal Community-Controlled Organisation and a non-government organisation that provide neurodevelopmental services, has developed a model of care for delivering wraparound, trauma-informed, multi-disciplinary developmental health and capacity-building services. It offers insights for supporting Aboriginal children with complex neurodevelopmental needs and their families in remote Australia.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.001 | 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".