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Record W2801266636 · doi:10.1177/0844562118770334

Culturally Safe Health Initiatives for Indigenous Peoples in Canada: A Scoping Review

2018· review· en· W2801266636 on OpenAlexafffundvenueabout
Lauren A. Brooks-Cleator, Breanna Phillipps, Audrey R. Giles

Bibliographic record

VenueCanadian Journal of Nursing Research · 2018
Typereview
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of Ottawa
FundersInstitute of Aboriginal Peoples Health
KeywordsCultural safetyIndigenousThematic analysisHealth carePublic relationsContext (archaeology)NursingPopulationPopulation healthMedicineSociologyPolitical sciencePublic healthQualitative researchEnvironmental healthGeographySocial science

Abstract

fetched live from OpenAlex

BACKGROUND: Cultural safety has the potential to improve the health disparities between Indigenous and non-Indigenous Canadians, yet practical applications of the concept are lacking in the literature. PURPOSE: This study aims to identify the key components of culturally safe health initiatives for the Indigenous population of Canada to refine its application in health-care settings. METHODS: We conducted a scoping review of the literature pertaining to culturally safe health promotion programs, initiatives, services, or care for the Indigenous population in Canada. Our initial search yielded 501 publications, but after full review of 44 publications, 30 were included in the review. After charting the data, we used thematic analysis to identify themes in the data. RESULTS: We identified six themes: collaboration/partnerships, power sharing, address the broader context of the patient's life, safe environment, organizational and individual level self-reflection, and training for health-care providers. CONCLUSION: While it is important to recognize that the provision of culturally safe initiatives depend on the specific interaction between the health-care provider and the patient, having a common understanding of the components of cultural safety, such as those that we identified through this research, will help in the transition of cultural safety from theory into practice.

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)0.010
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.851
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0070.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.198
GPT teacher head0.516
Teacher spread0.319 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations66
Published2018
Admission routes4
Has abstractyes

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