Bibliographic record
Abstract
PURPOSE: To document senior medical students’ experiences in caring for patients with multiple chronic illnesses in family medicine clerkship and explore their attitudes towards the inclusion of this topic in existing curricula. METHODS: A cohort of third-year medical students from the Schulich School of Medicine and Dentistry at the University of Western Ontario were surveyed following their core family medicine clerkship. RESULTS: One hundred percent of students surveyed participated in the care of patients with multiple chronic illnesses during their family medicine clerkship. However, only 28% percent reported receiving formal teaching on this topic while 89.5% felt that multimorbidity should be taught at the clerkship level. The majority of students surveyed felt comfortable caring for this patient population. CONCLUSION: Patients with multiple chronic illnesses are common in family practice. All third-year medical students encountered patients with multimorbidity during their family medicine clerkship. This study contributes to a growing body of literature that suggests the need for a shift in medical education and health care delivery in order to better serve an increasingly complex patient population.
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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 | 0.002 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".