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Record W3163434688 · doi:10.11124/jbies-20-00476

Role of Indigenous health workers in the delivery of comprehensive primary health care in Canada, Australia, and New Zealand: a scoping review protocol

2021· article· en· W3163434688 on OpenAlexaboutno aff

Bibliographic record

VenueJBI Evidence Synthesis · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
FundersGriffith University
KeywordsIndigenousGovernment (linguistics)Health careProtocol (science)NarrativePrimary carePrimary health careRural health

Abstract

fetched live from OpenAlex

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 Additional sources of unpublished literature, including government websites and community-controlled health organization websites in Canada, Australia, and New Zealand, will also be searched.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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.553
Threshold uncertainty score0.829

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.027
GPT teacher head0.359
Teacher spread0.332 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2021
Admission routes1
Has abstractyes

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