Cross Cultural Adaptation, Validity and Reliability Test of the Arabic Version of Rotator Cuff Quality of Life Questionnaire
Bibliographic record
Abstract
Background: Shoulder pain is a common problem in orthopedic clinics. The Rotator Cuff Quality of Life Index (RC-QOL) questionnaire covers pain, frequency, severity, symptoms, quality of life, and activities of daily living affected by shoulder disorders and has no Arabic version. Purpose: To find out the validity and reliability of the translated version of RC-QOL among the Arab population in Egypt. Methods: The questionnaire translated into Arabic according to recent guidelines by Tsang. Four experts panels and 340 patients with rotator cuff disorders (RCD) participated in this study. Test-retest was measured by interclass correlation (ICC) with confidence interval (CI) 95% and internal consistency analysis were measured by Cronbach’s alpha value to test reliability. Face, content, and construct validity were evaluated for the RC-QOL. Factor analysis and internal construct validity were assessed, and convergent and divergent validity were tested by the correlation between RC-QOL, Disabilities of The Arm, Shoulder and Hand (DASH) and Western Ontario Shoulder Instability Index (WOSI) questionnaires. Results: The study showed that the scale index of clarity was 90% to 100% and the mean index of clarity was 98.82%, the item content validity index (CVI) ranged from 0.7 to 1, the scale CVI (S-CVI) was 0.97 (97%), the experts proportion of relevance ranged from 91.18 to 100% and the mean was 97.94%. The questionnaire items were filled out 100% on all sheets and it needed less than 13 min maximum and a minimum 3 min to be answered. Cronbach’s alpha was 0.998, ICC was 0.928 to 0.953 with 95%. Conclusion: The Arabic version of the RC-QOL questionnaire is a reliable and valid tool to assess Rotator Cuff Disorder in the Egyptian population.
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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 | 0.001 | 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 | 0.001 |
| 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".