Translation, cross‐cultural adaptation, reliability and validity of the Turkish version of the Western Ontario Meniscal Evaluation Tool (WOMET)
Bibliographic record
Abstract
PURPOSE: The Western Ontario Meniscal Evaluation Tool (WOMET) is a questionnaire designed to evaluate quality of life related to the health (HRQOL) of patients with meniscus pathology. The purpose of this study was to translate and culturally adapt the WOMET into Turkish, and thereby to determine the reliability and validity of the translated version. METHODS: The WOMET was translated into Turkish in accordance with the stages recommended by Guillemin. Ninety-six patients [35 male, 61 female; mean age: 43.6 ± 11.7 (23-71) years] with meniscal pathology were included in the study. The WOMET was completed twice at 3-7-day intervals. The inter-rater correlation coefficient was used for reliability, and Cronbach's α was used for internal consistency. Patients were asked to answer the Lysholm knee scale and the short form-36 (SF-36) for the validity of the estimation. The distribution of ceiling and floor effects was determined. RESULTS: Mean and standard deviation of the first and second evaluations of the total WOMET were 1,048.9 ± 271.6 and 1,000.4 ± 255.2 (p = 0.03), respectively. The test-retest reliability of the total score, physical function, sports/work/lifestyle and emotion domains were 0.88, 0.78, 0.80 and 0.85, respectively. Cronbach's α was 0.89. WOMET was most strongly related to the physical function scale and the physical component score (ρ 0.54, ρ 0.60, respectively; p < 0.001). The weakest correlations between the WOMET and the SF-36 were for the mental component score and the emotional role functioning (ρ 0.11, ρ 0.03, respectively). We observed no ceiling and floor effects of the overall WOMET score, but 36.5 % of the patients showed floor effect in the question of "numbness", and 40.6 % of the patients showed ceiling effect in the question of "consciousness". CONCLUSION: The Turkish version of the WOMET is valid and reliable. It can therefore be used for HRQOL of patients with meniscal pathology.
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".