Evaluating Ergonomics Education in United States Ophthalmology Residency Programs
Bibliographic record
Abstract
Background: Musculoskeletal disorders are prevalent among ophthalmologists because of occupational risks that include repetitive movements and uncomfortable postures. Teaching proper ergonomic practices early in an ophthalmologist’s career may help avoid outcomes such as chronic pain and early retirement. Purpose: To investigate the level of formal ergonomics education in U.S. ophthalmology residencies. Methods: An Association of University Professors of Ophthalmology (AUPO) approved survey was distributed to program directors and coordinators of 113 residency programs via the AUPO email listserv. Results: The survey had a response rate of 33.6%. Of the 38 programs that responded, only 13 (34.2%) had a formal ergonomics curriculum. The average instruction time was 2.25 hours per year, with didactic sessions being the primary mode of education. Although 80% of respondents from programs with ergonomics curricula considered ergonomic education “very important,” only 60% of those without formal curricula did. Conclusion: Despite sporadic teaching in some programs, there is a significant gap in standardized ergonomics education across residencies.
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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 | 0.006 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".