Determinants of internal medicine residents' choice in the canadian R4 Fellowship Match: A qualitative study
Bibliographic record
Abstract
BACKGROUND: There is currently a discrepancy between Internal Medicine residents' decisions in the Canadian subspecialty fellowship match (known as the R4 match) and societal need. Some studies have been published examining factors that influence career choices. However, these were either demographic factors or factors pre-determined by the authors' opinion as possibly being important to incorporate into a survey. METHODS: A qualitative study was undertaken to identify factors that determine the residents choice in the subspecialty (R4) fellowship match using focus group discussions involving third and fourth year internal medicine residents RESULTS: Based on content analysis of the discussion data, we identified five themes:1) Practice environment including acuity of practice, ability to do procedures, lifestyle, job prospects and income 2) Exposure in rotations and to role models 3) Interest in subspecialty's patient population and common diseases 4) Prestige and respect of subspecialty 5) Fellowship training environment including fellowship program resources and length of training CONCLUSIONS: There are a variety of factors that contribute to Internal Medicine residents' fellowship choice in Canada, many of which have been identified in previous survey studies. However, we found additional factors such as the resources available in a fellowship program, the prestige and respect of a subspecialty/career, and the recent trend towards a two-year General Internal Medicine fellowship in our country.
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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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".