Examining the role of Indigenous primary healthcare across the globe in supporting populations during public health crises
Bibliographic record
Abstract
When health systems are overwhelmed during a public health crisis regular care is often delayed and deaths result from lapses in routine care. Indigenous primary healthcare (PHC) can include a range of programmes that incorporate treatment and management, prevention and health promotion, as well as addressing the social determinants of health (SDoH) and a focus on redressing health inequities. We examined how Indigenous PHC mobilises and innovates during a public health crisis to address patient needs and the broader SDoH. A rapid review methodology conducted from January 2021 - March 2021 was purposefully chosen given the urgency with COVID-19, to understand the role of Indigenous PHC during a public health crisis. Our review identified five main themes that highlight the role of Indigenous PHC during a public health crisis: (1) development of culturally appropriate communication and education materials about vaccinations, infection prevention, and safety; (2) Indigenous-led approaches for the prevention of infection and promotion of health; (3) strengthening intergovernmental and interagency collaboration; (4) maintaining care continuity; and (5) addressing the SDoH. The findings highlight important considerations for mobilising Indigenous PHC services to meet the needs of Indigenous patients during a public health crisis such as the COVID-19 pandemic.
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How this classification was reachedexpand
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 | 0.019 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.005 |
| Science and technology studies | 0.014 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".