The role of registered nurses in primary care and public health collaboration: A scoping review
Bibliographic record
Abstract
Aim: The purpose of this work was to examine the roles of Registered Nurses (RNs) in primary care (PC) and public health (PH) collaboration. Additionally, we aimed to explore whether the current scope of practice for RNs is adequate to support their roles in PC/PH collaboration. Design: A scoping review of current literature relating to the RN's role in PC/PH collaboration was conducted using the PRISMA 2009 checklist. Methods: The review used key terms: primary care, public health, collaboration, nursing and nurse role across six electronic databases; 23 articles that were included in the final review were published over a 7-year span. Results: Four key RN roles relating to PC/PH collaboration were identified: relationship builder, outreach professional, programme facilitator and care coordinator. RNs supported transitions in chronic disease, communicable disease care and maternity care at various healthcare system levels including systemic, organizational, intrapersonal and interpersonal levels.
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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 | 0.024 | 0.068 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.012 | 0.014 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".