Improvement of Orthopedic Residency Programs and Diversity: Dilemmas and Challenges, an International Perspective.
Bibliographic record
Abstract
BACKGROUND: To date, little has been published comparing the structure and requirements of orthopedic training programs across multiple countries. The goal of this study was to summarize and compare the characteristics of orthopedic training programs in the U.S.A., U.K., Canada, Australia, Germany, India, China, Saudi Arabia, Russia and Iran. METHODS: We communicated with responders using a predetermined questionnaire regarding the national orthopedic training program requirements in each respondent's home country. Specific items of interest included the following: the structure of the residency program, the time required to become an orthopedic surgeon, whether there is a log book, whether there is a final examination prior to becoming an orthopedic surgeon, the type and extent of faculty supervision, and the nature of national in-training written exams and assessment methods. Questionnaire data were augmented by reviewing each country's publicly accessible residency training documents that are available on the web and visiting the official website of the main orthopedic association of each country. RESULTS: The syllabi consist of three elements: clinical knowledge, clinical skills, and professional skills. The skill of today's trainees predicts the quality of future orthopedic surgeons. The European Board of Orthopedics and Traumatology (EBOT) exam throughout the European Union countries should function as the European board examination in orthopedics. We must standardize many educational procedures worldwide in the same way we standardized patient safety. CONCLUSION: Considering the world's cultural and political diversity, the world is nearly unified in regards to orthopedics. The procedures (structure of the residency programs, duration of the residency programs, selection procedures, using a log book, continuous assessment and final examination) must be standardized worldwide, as implemented for patient safety. To achieve this goal, we must access and evaluate more information on the residency programs in different countries and their needs by questioning them regarding what they need and what we can do for them to make a difference.
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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 | 0.015 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".