Comparing Anesthesiology Residency Training Structure and Requirements in Seven Different Countries on Three Continents
Bibliographic record
Abstract
Little has been published comparing the graduate medical education training structure and requirements across multiple countries. The goal of this study was to summarize and compare the characteristics of anesthesiology training programs in the USA, UK, Canada, Japan, Brazil, Denmark, and Switzerland as a way to better understand efforts to train anesthesiologists in different countries. Two physicians trained in each of the seven countries (convenience sample) were interviewed using a semi-structured approach. The interview was facilitated by use of a predetermined questionnaire that included, for example, the duration of post-medical school training and national requirements for certain rotations, a number of cases, faculty supervision, national in-training written exams, and duty hour limits. These data were augmented by review of each country's publicly available residency training documents as available on the internet. Post-medical school anesthesia residency duration varied: three years (Brazil), four years (USA), five years (Canada and Switzerland), six years (Japan and Denmark) to nine years (UK), as did the number of explicitly required clinical rotations of a defined duration: zero (Denmark), one (Switzerland and UK), four (Brazil), six (Canada), and 12 (USA). Minimum case requirements exist in the USA, Japan, and Brazil, but not in the other countries. National written exams taken during training exist for all countries studied except Japan and Denmark. The countries studied increasingly aim to have competency-based education with milestone assessments. Training duty hour limits also varied including for example 37 hours/week averaged over a one month with limitations on night duties (Denmark), a weekly average of 48 hours taken over a 17 week period (UK), 50 hours/week maximum (Switzerland), 60 hours/week maximum (Brazil), and 80 hours/week averaged over four weeks (USA). Some countries have highly structured training programs with multiple national requirements with training principally carried out at a home institution. Other countries have a more decentralized and unregulated approach with fewer (if any) specific case or rotation requirements, where the trainee creates his/her own customized training to meet broad objectives and goals. The countries studied have different national training requirements, unique duty hour rules and are at varying stages in transitioning to an outcome based model of residency.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".