Interprofessional education: A nurse practitioner impacts family medicine residents' smoking cessation counselling experiences
Bibliographic record
Abstract
This qualitative research paper describes a successful example of interprofessional education with family medicine residents (FMR) by a nurse practitioner (NP) colleague. The educational impact of the NP role in regard to smoking cessation counselling is revealed by the analysis of 16 semi-structured interviews using a phenomenological approach. The key themes depicted the NP as an educator and mentor, encourager and referral resource. Outcomes of improved knowledge, skills, and motivation towards providing smoking cessation counselling are described. This research provides some understanding of how professional students' learning and practice can be affected by a member of another profession through direct and indirect approaches. The experiences identified how interprofessional education and collaborative clinical practice can affect FMRs' attitudes, knowledge and behaviours. This learning can guide us in enhancing the quality of education provided to all health care professionals.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 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".