Do Micropauses Prevent Surgeon's Fatigue and Loss of Accuracy Associated With Prolonged Surgery? An Experimental Prospective Study
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: This prospective experimental study evaluates the effectiveness of micropauses (MPs) to prevent muscular fatigue and its deleterious effect on surgeons during prolonged surgical procedures. BACKGROUND: Operating is a hazard for surgeon's health. Beyond acute injuries and blood-borne infections, back and neck pain is a poorly recognized factor causing chronic ailment in more than half the surgeons surveyed. MP, a 20-second break every 20 minutes, is an accepted strategy used widely in the workplace. METHODS: We designed a crossover experimental study. Sixteen surgeons were tested 3 times: once in a control situation before any surgery (CTL) and twice after a prolonged, reproducible operation (at least 2 hours), 1 of these with formal MP (WMP) the other without (WOMP). Muscular fatigue was tested by holding a 2.5-kg weight as long as possible with a stretched arm. Accuracy was evaluated with a device, measuring the mistakes made when following a predetermined path on a board. Finally, discomfort was measured by visual analog scale. RESULTS: We found a statistically and more importantly clinically significant difference between the CTL and WOMP groups in all 3 tests. MPs prevented completely or almost completely the effects of fatigue associated with surgery [accuracy (No. errors) CTL: 1.1, WOMP: 7.7, WMP: 1.7; fatigue (seconds) CTL: 137, WOMP: 92, WMP: 142]. CONCLUSIONS: Surgical procedures are associated with significant muscular fatigue that can be measured simply and which has a direct effect on comfort and surgical accuracy. More important, this effect is completely or almost completely prevented by MPs.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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