Improving cultural competence of healthcare workers in First Nations communities: a narrative review of implemented educational interventions in 2015–20
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Cultural competency is often promoted as a strategy to address health inequities; however, there is little evidence linking cultural competency with improved patient outcomes. This article describes the characteristics of recent educational interventions designed to improve cultural competency in healthcare workers for First Nations peoples of Australia, New Zealand, Canada and the USA. METHODS: In total, 13 electronic databases and 14 websites for the period from January 2015 to May 2021 were searched. Information on the characteristics and methodological quality of included studies was extracted using standardised assessment tools. RESULTS: Thirteen published evaluations were identified; 10 for Australian Aboriginal and Torres Strait Islander peoples. The main positive outcomes reported were improvements in health professionals' attitudes and knowledge, and improved confidence in working with First Nations patients. The methodological quality of evaluations and the reporting of methodological criteria were moderate. CONCLUSIONS: Cultural competency education programs can improve knowledge, attitudes and confidence of healthcare workers to improve the health of First Nations peoples. Providing culturally safe health care should be routine practice, particularly in places where there are concentrations of First Nations peoples, yet there is relatively little research in this area. There remains limited evidence of the effectiveness of cultural education programs alone on community or patient outcomes.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it