Musculoskeletal disorders among orthopedic pediatric surgeons: An overlooked entity
Bibliographic record
Abstract
INTRODUCTION: Forceful and repetitive maneuvers constitute the majority of pediatric orthopedic surgical tasks, thus subjecting surgeons to the risk of musculoskeletal (MSK) injuries during their years in practice. The aim of this study was to assess the prevalence, characteristics and impact of MSK disorders among pediatric orthopedic surgeons. METHODS: A modified version of the physical discomfort survey was sent to surgeons who were members of the Pediatric Orthopedic Society of North America (POSNA) via e-mail. The collected data were analyzed using descriptive statistics, one-way analysis of variance, and Fisher's exact test. p values of <0.05 were considered statistically significant. RESULTS: Of the 402 respondents, 67 % reported that they had sustained a work-related MSK injury, of which the most common diagnoses were low back pain (28.6 %) and lateral elbow epicondylitis (15.4 %). Among those which reported an injury, 26 % required surgical treatment and 31 % needed time off work as a direct result of their injury. The number of work-related injuries incurred by a surgeon increased significantly with increasing age (p < 0.001), working in a non-academic institute (p < 0.05), working in more than one institute (p < 0.05), and being in active practice for >21 years (p < 0.05). The need to undergo treatment or take time off due to the injury was associated with increased number of injuries (p < 0.001). In addition, surgeons were more likely to require time off work when they were >56 years of age (p < 0.001), had been in practice for >21 years (p < 0.001), required surgical management of their disorder (p < 0.001), and had experienced an exacerbation of a previous disorder (p < 0.001). DISCUSSION AND CONCLUSION: This study is the first of its kind to assess MSK injuries sustained by pediatric orthopedic surgeons. The high incidence of these disorders may place a financial and psychological burden on these surgeons and thus the healthcare system. These results should shed a light on awareness and the need for further studies to prevent and help decrease the incidence of these disorders not only in orthopedic surgeons but also in the surgical population in general.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".