The Role of Non-Physician Health Care Professionals in the Education of Medical Students at Satellite Campuses
Bibliographic record
Abstract
Phenomenon: Satellite campuses of medical schools in Canada introduce smaller communities to new medical learners. Non-physician health care professionals (NPHCPs) in regional hospitals may have had little prior exposure to learners. Lack of clarity regarding the role of the medical student is a barrier that hinders interprofessional collaboration. The purpose of this project was to examine the educational relationship between students and NPHCPs in regional hospitals. Approach: Surveys were distributed to NPHCPs of various disciplines at two community hospitals in Waterloo Region. A second survey was distributed to medical students attending a satellite medical campus of McMaster University. Findings: Surveys completed by 141 NPHCPs identified the following themes: frequent student interaction, no orientation to students, uncertainty of roles, willingness to teach, and barriers to teaching. Student surveys demonstrated frequent interactions, lack of familiarity of their role by NPHCPs at regional hospitals, desire to learn from NPHCPs, and specific teachable procedures. Insights: NPHCPs and medical students agree that interprofessional medical education can improve patient care, communication and the quality of education. While there is interest in involving NPHCPs in teaching, orienting NPHCPs to the roles of students in regional hospitals may improve relationships and allow informal teaching opportunities. Funding: This work was supported by the Michael G. DeGroote School of Medicine, McMaster University.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".