Cosmetic Surgery Training in Canadian Plastic Surgery Residencies: Are We Training Competent Surgeons?
Bibliographic record
Abstract
BACKGROUND: With the demand for cosmetic surgery continuing to rise, it is necessary to reevaluate the current state of cosmetic surgery training during plastic surgery residency. An evaluation of cosmetic surgery training in US plastic surgery residency programs in 2006 identified several areas for improvement, resulting in changes to both the duration and content of training. OBJECTIVES: The authors assess the current state of cosmetic surgery training in Canadian plastic surgery residency programs. METHODS: A paper survey of all graduating Canadian plastic surgery residents eligible to complete the 2009 Royal College of Physicians and Surgeons of Canada fellowship examinations was performed (N = 29). The survey was conducted primarily at the Canadian Plastic Surgery Review Course in February 2009, with surveys collected from absent residents by e-mail within 1 month after the course. The survey covered 2 broad areas: (1) specifics regarding resident cosmetic surgery training and (2) confidence and satisfaction associated with this experience. RESULTS: Of the 29 residents surveyed, 28 responded (96%). The majority of Canadian plastic surgery residency programs (75%) have a designated cosmetic surgery rotation, but 90% of respondents felt it has become increasingly difficult to gain exposure to cosmetic procedures as most are performed at private surgery centers. Elective rotations at cosmetic surgery practices and resident cosmetic clinics were considered the most beneficial for cosmetic surgery education. Residents considered cosmetic surgery procedures of the face (such as rhinoplasty and facelift) more challenging, but they had more confidence with breast and body contouring procedures. CONCLUSIONS: Canadian plastic surgery residency programs need to ensure that residents continue to receive comprehensive exposure to both surgical and nonsurgical cosmetic procedures to ensure our specialty's continued leadership in this evolving and highly competitive field. A multidimensional approach utilizing a variety of readily available resources will ensure that the current and future cosmetic surgery educational needs of Canadian plastic surgery residents are met.
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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 | 0.004 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".