Translation and validation of a Hebrew version of the Western Ontario Shoulder Instability index
Bibliographic record
Abstract
BACKGROUND: The Western Ontario Shoulder Instability index (WOSI) is a questionnaire designed to measure health-related quality of life in patients with shoulder instability. The aim of the current study was to translate the WOSI into Hebrew and assess its psychometric properties. METHODS: The WOSI was translated into Hebrew according to World Health Organization guidelines. Twenty-five patients completed the WOSI and the Disabilities of Arm, Shoulder, and Hand (DASH) questionnaire 2 weeks and 2 months after surgical shoulder stabilization. Internal consistency (Cronbach's α), criterion validity (Pearson's correlation coefficient with DASH), responsiveness, and floor and ceiling effects were assessed. RESULTS: Cronbach's α was 0.88-0.95 for total WOSI (range 0.68-0.95 for different sections). Strong correlation with DASH score (r = 0.76-0.84) indicated good criterion validity. Changes between baseline and follow-up for WOSI and DASH scores were moderately correlated (r = 0.68), suggesting moderate responsiveness. Some items demonstrated floor and ceiling effects, especially at baseline, but no floor or ceiling effects were observed for total WOSI or for the WOSI sections. CONCLUSIONS: The results of the current study demonstrate that the Hebrew version of the WOSI is a valid instrument that can be used to assess disability in patients with shoulder instability. Additional studies are warranted to assess its psychometric properties among various subpopulations. TRIAL REGISTRATION: The study was pre-registered at the ClinicalTrials.gov website, registration number NCT02978365 .
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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 | 0.012 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".