Advancing Family Practice Nursing in Canada: An Environmental Scan of International Literature and National Efforts towards Competency Development
Bibliographic record
Abstract
Family practice nurses (also known as primary care nurses) are registered nurses who practice in primary healthcare and function as generalists who provide a broad range of health services, including preventative screening, health education, chronic disease management, care coordination, and system navigation. This paper reports on the current state of family practice nursing in Canada and findings from an environmental scan of literature focused on family practice nursing competency development internationally. Overall, there is a lack of clear information regarding the deployment of family practice nurses in Canada and a lack of clarity about their role in primary healthcare teams. Although family practice nurses play a key role within interprofessional primary healthcare teams, the degree to which family practice nurses have been integrated into primary healthcare varies substantially across provinces/territories. Our environmental scan indicates that the development of family practice nursing competencies is occurring internationally. The steps being taken to develop a defined set of national Canadian family practice nursing competencies are described and implications for policy, administration, leadership, education and patients are discussed.
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.018 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".