Family medicine rotations and medical students' intention to pursue family medicine: Descriptive study.
Bibliographic record
Abstract
OBJECTIVE: To identify specific factors occurring during family medicine (FM) rotations that were associated with a change in intention to pursue FM. DESIGN: Transversal descriptive study. A self-administered questionnaire was distributed on SurveyMonkey between September 2015 and April 2016. SETTING: Family medicine rotation sites affiliated with the University of Montreal in Quebec. PARTICIPANTS: Medical students who were conducting their rotations at participating sites and who had not yet chosen their residency specialty. MAIN OUTCOME MEASURES: Specific factors occurring during a rotation that influenced medical students' intention to pursue FM in residency. RESULTS: In the sample population, it was found that the FM rotation was generally highly appreciated by study participants, and that it improved the FM specialty's image while positively influencing the participants' intention to pursue FM. The degree of exposure to different areas of practice, overall atmosphere, the presence of role models, and the desire to return to the rotation site to practise were all moderately associated with a positive change in intention to pursue FM. There was a weak association between pursuing FM and participants' perception of physicians' interest in their work, rural rotation sites, positive interactions with physicians, perceptions of the rotation's level of difficulty, and degree of satisfaction with the final assessment. The results for other factors were not statistically significant. Concerning a negative change in the intention to pursue FM in residency, 2 factors were identified: the absence of a role model and lack of interest in returning to the rotation site. New positive factors were identified: overall atmosphere and the desire to return to the rotation site to practise. CONCLUSION: Several factors related to the FM rotations appeared to act as prime motivators for change toward pursuing FM. This could support the development of an assessment tool and the improvement of FM rotations.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".