Collaboration between family physicians and nurse clinicians: opinions of graduates in family medicine.
Bibliographic record
Abstract
OBJECTIVE: To determine whether graduating family physicians are exposed to collaboration between family physicians and nurse clinicians during their training, as well as their opinions about shared care between doctors and nurse clinicians in the delivery of patient care. DESIGN: Anonymous online survey. SETTING: Two French-Canadian university family medicine residency programs. PARTICIPANTS: The 2010 and 2011 graduating family physicians (N = 343) from the University of Montreal and Laval University in Quebec. MAIN OUTCOME MEASURES: The extent to which nurse clinicians in graduating family physicians' training milieu were involved in preventive and curative patient care activities, and graduates' opinions about nurse clinicians sharing care with physicians. RESULTS: Of 343 graduates, 186 (54.2%) participated in the survey. Although as residents in family medicine their exposure to shared care with nurse clinicians was somewhat limited, respondents indicated that they were generally quite open to the idea of sharing care with nurse clinicians. More than 70% of respondents agreed or strongly agreed that nurse clinicians could adjust, according to protocols of clinical guidelines, the treatment of patients with diabetes, hypertension, and asthma, as well as regulate medication for pain control in terminally ill patients. By contrast, respondents were less favourable to nurse clinicians adjusting the treatment of patients with depression. More than 80% of respondents agreed or strongly agreed that nurse clinicians could initiate treatment via a medical directive for routine hormonal contraception, acne, uncomplicated cystitis, and sexually transmitted infections. Respondents' opinions on nurse clinicians initiating treatment for pharyngitis and otitis were more divided. CONCLUSION: Graduating family physicians are quite open to collaborating with nurse clinicians. Although they have observed some collaboration between physicians and nurses, there are areas of shared clinical activities in which they would benefit from further exposure and training.
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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 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".