Translation, Cross-Cultural Adaptation, and Validation of the Persian Version of the Harris Hip Score
Bibliographic record
Abstract
Background: The Harris hip score (HHS), a self-administered questionnaire, is widely used to evaluate hip pathology affecting health-related quality of life and physical function. This study's purpose was HHS translation to Persian (HHS-Pr) and validation in patients with different hip pathologies. Methods: Translation and cultural adaptation followed existing guidelines. Hip pathology patients (n = 151) completed the HHS, 12-Item Health Survey, and the Western Ontario and McMaster Universities Arthritis Index (WOMAC). Criterion validity was determined from comparisons between the HHS measures and the different corresponding WOMAC domains. Internal consistency used Cronbach's alpha (α), content validity the "content validity index," and floor/ceiling effect the end-range 15%. Test-retest reliability used the intraclass correlation coefficient (subsample n = 30) at 3-7 days that compared baseline with a repeated measure. Measurement precision and change sensitivity used longitudinal assessment (subgroup n = 30) from the standard error of the measurement and minimal detectable change. Results: Cross-cultural adaptation required minor wording changes. The mean HHS-Pr was 57.77 ± 19.69. Criterion validity was significant with the WOMAC (r = -0.76) and 12-Item Health Survey Physical Component Summary (r = 0.47). Internal consistency was high before (α = 0.75) and after standardization (α = 0.86). Content validity was satisfactory (content validity index = 0.88). No floor/ceiling effects were found. Test-retest reliability (intraclass correlation coefficient = 0.85) was excellent, as was standard error of the measurement (raw score = 5.8) and minimal detectable change (raw score = 11.4). Conclusions: The HHS-Pr demonstrated adequate validity, reliability, and sensitivity to change. These psychometric properties sufficiently measure functional status in patients with hip pathologies in a Persian-speaking 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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".