Validity and Reliability of the Standardized Orthopedic Assessment Tool (SOAT): A Variation of the Traditional Objective Structured Clinical Examination
Bibliographic record
Abstract
CONTEXT: Health care professions have replaced traditional multiple choice tests or essays with structured and practical, performance-based examinations with the hope of eliminating rater bias and measuring clinical competence. OBJECTIVE: To establish the validity and reliability of the Standardized Orthopedic Assessment Tool (SOAT) as a measure of clinical competence of orthopaedic injury evaluation. DESIGN: Descriptive laboratory study. SETTING: University. PATIENTS OR OTHER PARTICIPANTS: A total of 60 undergraduate students and 11 raters from 3 Canadian universities and 1 standardized patient. INTERVENTION(S): Students were required to complete a 30-minute musculoskeletal evaluation in 1 of 2 randomly assigned mock scenarios involving the knee (second-degree medial collateral ligament sprain) or the shoulder (third-degree supraspinatus muscle strain). MAIN OUTCOME MEASURE(S): We measured interreliability with an intraclass correlation coefficient (ICC) (2,k) and stability of the tool with standard error of measurement and confidence intervals. Agreement was measured using Bland-Altman plots. Concurrent validity was measured using a Pearson product moment correlation coefficient whereby the raters' global rating of a student was matched to the cumulative mean grade score. RESULTS: The ICCs were 0.75 and 0.82 for the shoulder and knee cases, respectively. Bland-Altman plots indicated no systematic bias between raters. In addition, Pearson product moment correlation analysis demonstrated a strong relationship between the overall cumulative mean grade score and the global rating score of the examinees' performances. CONCLUSIONS: This study demonstrated good interrater reliability of the SOAT with a standard error of measurement that indicated very modest stability, strong agreement between raters, and correlation indicative of concurrent validity.
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How this classification was reachedexpand
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".