A Novel Approach to Assessing Technical Competence of Colorectal Surgery Residents
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To develop and evaluate an objective method of technical skills assessment for graduating subspecialists in colorectal (CR) surgery-the Colorectal Objective Structured Assessment of Technical Skill (COSATS). BACKGROUND: It may be reasonable for the public to assume that surgeons certified as competent have had their technical skills assessed. However, technical skill, despite being the hallmark of a surgeon, is not directly assessed at the time of certification by surgical boards. METHODS: A procedure-based, multistation technical skills examination was developed to reflect a sample of the range of skills necessary for CR surgical practice. These consisted of bench, virtual reality, and cadaveric models. Reliability and construct validity were evaluated by comparing 10 graduating CR residents with 10 graduating general surgery (GS) residents from across North America. Expert CR surgeons, blinded to level of training, evaluated performance using a task-specific checklist and a global rating scale. The mean global rating score was used as the overall examination score and a passing score was set at "borderline competent for CR practice." RESULTS: The global rating scale demonstrated acceptable interstation reliability (0.69) for a homogeneous group of examinees. Both the overall checklist and global rating scores effectively discriminated between CR and GS residents (P < 0.01), with 27% of the variance attributed to level of training. Nine CR residents but only 3 GS residents were deemed competent. CONCLUSIONS: The Colorectal Objective Structured Assessment of Technical Skill effectively discriminated between CR and GS residents. With further validation, the Colorectal Objective Structured Assessment of Technical Skill could be incorporated into the colorectal board examination where it would be the first attempt of a surgical specialty to formally assess technical skill at the time of certification.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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