Comparative Evaluation of the Measurement Properties of Various Shoulder Outcome Instruments
Bibliographic record
Abstract
BACKGROUND: Various shoulder outcome instruments have been used despite lack of information on their measurement properties; reliability, responsiveness, and validity; and correlation with health-related quality of life. HYPOTHESIS: Most shoulder outcome instruments have poor correlation with Short Form-36, a general measure of health-related quality of life, and with each other. STUDY DESIGN: Cohort study (diagnosis); Level of evidence, 2. METHODS: A consecutive group of 285 patients who had undergone shoulder surgery completed several shoulder outcome instruments-Short Form-36; University of California, Los Angeles shoulder score; American Shoulder and Elbow Surgeons shoulder evaluation form; Constant score; Simple Shoulder Test; Western Ontario Shoulder Instability Index; and the rating sheet for Bankart repair (Rowe score)-preoperatively and at 3, 6, 9, and 12 months postoperatively. Internal consistency, standardized response mean, effect size, and Pearson correlation were used to evaluate reliability, responsiveness, and validity. RESULTS: The American Shoulder and Elbow Surgeons form, Simple Shoulder Test, and Western Ontario Shoulder Instability Index displayed good internal consistency. The University of California, Los Angeles shoulder score and American Shoulder and Elbow Surgeons form exhibited good responsiveness, whereas Short Form-36 showed the least responsiveness. Pearson correlation coefficients between the shoulder outcome instruments and Short Form-36 were less than excellent (r < .60). Pearson correlation coefficients between the outcome instruments were generally low except for the Constant score and University of California, Los Angeles shoulder score (r = .673, P < .01). CONCLUSION: There was no single shoulder outcome instrument that was superior to the others in terms of the measurement properties. Most of the tested shoulder outcome instruments did not reflect health-related quality of life well and poorly correlated with each other. This meant that the comparison of a given surgical result with different outcome instruments might be of little practical utility. Further prospective and serial studies should be conducted to develop better shoulder outcome instruments that have significant reliability, responsiveness, validity, and correlation with health-related quality of life. A careful combination of outcome instruments might be necessary to compensate the current evaluation systems.
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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 | 0.069 | 0.163 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| 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".