Do plastic surgery division heads and program directors have the necessary tools to provide effective leadership?
Bibliographic record
Abstract
Background Effective leadership is imperative in a changing health care landscape driven by increasing expectations in a setting of rising fiscal pressures. Because evidence suggests that leadership abilities are not simply innate but, rather, effective leadership can be learned, it is prudent for plastic surgeons to evaluate the training and challenges of their leaders because there may be opportunities for further growth and support. Objective To investigate the practice profiles, education/training, responsibilities and challenges of leaders within academic plastic surgery. Methods Following research ethics board approval, an anonymous online survey was sent to division heads and program directors from all university-affiliated plastic surgery divisions in Canada. Survey themes included demographics, education/training, job responsibilities and challenges. Results A response rate of 74% was achieved. The majority of respondents were male (94%), promoted to their current position at a mean age of 48 years, did not have a leadership-focused degree (88%), directly manage 30 people (14 staff, 16 faculty) and were not provided with a job description (65%). Respondents worked an average of 65 h per week, of which 18% was devoted to their leadership role, 59% clinically and the remainder on teaching and research. A discrepancy existed between time spent on their leadership role (18%) and related compensation (10%). Time management (47%) and managing conflict (24%) were described as the greatest leadership challenges by respondents. Conclusions Several gaps were identified among leaders in plastic surgery including predominance of male sex, limitations in formal leadership training and requisite skill set, as well as compensation and human resources management (emotional intelligence). Leadership and managerial skills are key core competencies, not only for trainees, but certainly for those in a position of leadership. The present study provides evidence that academic departments, universities and medical centres may benefit by re-evaluating how they train, promote and support their leaders in plastic surgery.
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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 | 0.004 | 0.058 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".