Role of Indigenous health workers in the delivery of comprehensive primary health care in Canada, Australia, and New Zealand: a scoping review protocol
Bibliographic record
Abstract
OBJECTIVE: The aim of this review is to identify and describe Indigenous health workers' roles, functions, activities, and involvement in decision-making in the provision of primary health care for Indigenous peoples and communities in Canada, Australia, and New Zealand. INTRODUCTION: The Indigenous health worker workforce is the cornerstone to providing culturally safe, primary health care for Indigenous peoples and communities. Yet, wide-ranging role variation has created a general lack of understanding of who Indigenous health workers are, what Indigenous health workers do, and how to best coordinate their roles and skills with other care providers to further improve the health care experience and outcomes for Indigenous peoples and communities. INCLUSION CRITERIA: This review will consider full text, peer-reviewed publications and gray literature that include Indigenous health workers who identify as belonging to, and are recognized as such by their communities, any First Peoples group in Canada (First Nations, Inuit, Métis), Australia (Aboriginal, Torres Strait Islander), and New Zealand (Māori); and who describe their role as the provision of primary health care to Indigenous peoples and communities, in clinical and non-clinical settings, in both mainstream health systems and within community-controlled primary health care sectors. METHODS: MEDLINE, CINAHL, Scopus, Embase, Informit (Indigenous Collection, New Zealand Collection, Rural and Remote Health Database, APAIS-ATSIS, Aboriginal and Torres Strait Islander health bibliography), Sociological Abstracts, and Australian Indigenous HealthInfoNet will be searched for studies. Additional sources of unpublished literature, including government websites and community-controlled health organization websites in Canada, Australia, and New Zealand, will also be searched. Articles in English and French will be included, with no set date restrictions. Screening and selection will follow JBI methodology and findings will be summarized in tabular form accompanied by narrative text.
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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 | 0.090 | 0.068 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.008 | 0.007 |
| Bibliometrics | 0.025 | 0.023 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.005 | 0.007 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.019 | 0.002 |
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".