Educational Effectiveness of Telementoring as a Continuing Professional Development Intervention for Surgeons in Practice: A Systematic Review
Why this work is in the frame
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Bibliographic record
Abstract
Objective: We performed a systematic review to determine the educational effectiveness of telementoring as a continuing professional development (CPD) intervention for surgeons in practice. Background: Surgeons can mentor their peers in remote locations using videoconferencing communication, referred to as telementoring. Methods: We searched MEDLINE and EMBASE and included studies assessing the educational effectiveness of telementoring interventions used by surgeons in practice. We excluded studies involving only trainees and those not evaluating educational effectiveness. Two reviewers independently screened, extracted data, and assessed study quality using the Medical Education Research Study Quality Instrument (MERSQI; maximum score 18). Educational outcomes were categorized using Moore's Outcomes Framework. Results: We retrieved a total of 1351 records, and 252 studies were selected for full-text review. Twenty-eight studies were included with 1 randomized controlled trial, 19 cohort studies, 5 qualitative studies, and 3 case studies, totaling 178 surgeons and 499 cases. The average MERSQI score was 10.21 ± 2.2 out of 18. Educational outcomes included surgeons' satisfaction with telementoring interventions (Moore's Level 2) in 12 studies, improvement in surgeons' procedural knowledge (Level 3b) in 3 studies, improvements in surgeons' procedural competence in an educational setting (Level 4) in 4 studies, performance in a workplace-based setting (Level 5) in 23 studies, and patient outcomes (Level 6) in 3 studies. No studies reported community health outcomes (Level 7). Conclusions: Moderate-level evidence demonstrates the use of telementoring as effective in changing surgeons' knowledge and competence in both educational and workplace-based settings. Its use is also associated with changes in patient outcomes.
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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 | 0.014 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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 it