Cross-cultural Adaptation and Measurement Properties of an Italian Version of the Western Ontario Shoulder Instability Index (WOSI)
Bibliographic record
Abstract
STUDY DESIGN: Clinical measurement study. OBJECTIVES: To translate and cross-culturally adapt the Western Ontario Shoulder Instability Index (WOSI) into Italian, and to evaluate its measurement properties in patients with shoulder instability secondary to a first-time traumatic anterior dislocation. BACKGROUND: The WOSI was developed for English-speaking patients. To date, no Italian version of the WOSI exists. METHODS: The WOSI was cross-culturally adapted to Italian according to established guidelines. Sixty-four (16 women, 48 men) patients with unilateral shoulder anterior instability were prospectively recruited for the purposes of this study. Internal consistency, test-retest reliability, construct validity, and responsiveness of the WOSI were evaluated. RESULTS: The Italian version of the WOSI showed a high degree of internal consistency, with a Cronbach alpha of .93 (95% confidence interval [CI]: 0.91, 0.96). The test-retest reliability was high for both short-term (3 days, 64 patients) and medium-term (14 weeks, 20 patients) test-retest, with intraclass correlation coefficients of 0.95 (95% CI: 0.90, 0.97) and 0.92 (95% CI: 0.89, 0.95), respectively. The WOSI was more closely correlated to the Disabilities of the Arm, Shoulder and Hand questionnaire than to the Medical Outcomes Study 36-Item Short-Form Health Survey (r = 0.794 and 0.113, respectively). The receiver-operating-characteristic curve analysis revealed that the WOSI was more responsive than the Disabilities of the Arm, Shoulder and Hand questionnaire (P = .03), with an area under the curve of 0.90 (95% CI: 0.78, 0.97) for the WOSI and 0.76 (95% CI: 0.61, 0.88) for the Disabilities of the Arm, Shoulder and Hand questionnaire. CONCLUSION: The Italian version of the WOSI is a valid, reliable, and responsive tool that can be used to measure function in Italian-speaking patients with shoulder instability due to a first-time traumatic anterior dislocation.
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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 | 0.007 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".