Development, Feasibility, Validity, and Reliability of a Scale for Objective Assessment of Operative Performance in Laparoscopic Gastric Bypass Surgery
Bibliographic record
Abstract
BACKGROUND: There is no objective scale for assessment of operative skill in laparoscopic gastric bypass (LGBP). The objective of this study was to develop and demonstrate feasibility of use, validity, and reliability of a Bariatric Objective Structured Assessment of Technical Skill (BOSATS) scale. STUDY DESIGN: The BOSATS scale was developed using a hierarchical task analysis (HTA), a Delphi questionnaire, and a panel of international experts in bariatric surgery. The feasibility of use, reliability, and validity of the developed scale were demonstrated by reviewing 52 prospectively collected video recordings of LGBP performed by novice and experienced surgeons. RESULTS: A total of 214 discrete steps were identified in HTA. A total of 12 and 17 panel members completed the first and second round of the Delphi questionnaire, respectively. Consensus among the panel was achieved after the second round (Cronbach's alpha = 0.85). The BOSATS scale demonstrated high inter-rater (intraclass correlation coefficient [ICC] = 0.954; p < 0.001) and test-retest reliability (ICC = 0.99; p < 0.001). Significant differences between BOSATS scores of experienced and novice surgeon groups were noted for the creation of jejunojejunostomy (JJ), gastric pouch, linear stapled gastrojejunostomy (GJ), circular stapled GJ, and hand-sewn GJ. Moderate to high correlations between BOSATS scale and Objective Structured Assessment of Technical Skills Global Rating Scale (OSATS GRS) were seen for JJ (rho = 0.59; p = 0.001), gastric pouch (rho = 0.48; p = 0.0004), linear stapled GJ (rho = 0.70; p = 0.0001), and hand-sewn GJ (rho = 0.96; p < 0.0001). CONCLUSIONS: The BOSATS scale is a feasible to use, reliable, and valid instrument for objective assessment of operative performance in LGBP. Implementation of this scale is expected to facilitate deliberate practice and provide a means for future certification in bariatric surgery.
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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 | 0.024 | 0.049 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".