The evolving role of nurses in primary care medical settings
Bibliographic record
Abstract
The role of nurses in primary care is understudied. The purpose of this study was to describe the current registered nurse (RN) role in three Primary Care Networks (PCNs) in western Canada and to identify opportunities for optimal utilization of RNs in these settings. Case study methodology included interviews and document review. Although the RN role evolved during the study, most RNs focused on chronic disease management. Role ambiguity was evident between nurses and with interprofessional team members. Relationships of RNs to other providers, particularly physicians, impacted the enactment of the nursing role. Other barriers to role enactment included physician fee-for-service remuneration, management structures and processes, lack of access to electronic medical records and lack of previous opportunities to apply primary health-care education in the practice setting. Further work is needed to optimize the RN role in primary care to ensure maximum impact for patients, providers and the health system overall.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".