Validity and reliability of the Mini-Osteoarthritis Knee and Hip Quality of Life scale in Turkish population
Bibliographic record
Abstract
Objectives: This study aims to investigate the validity and reliability of the Turkish version of the Mini-Osteoarthritis Knee and Hip Quality of Life (Mini-OAKHQoL) scale developed to assess the quality of life (QoL) in patients with knee and/or hip osteoarthritis. Patients and methods: Between May 2018 and May 2020, a total of 83 patients (11 males, 72 females; mean age: 58.1±10.0 years; range, 39 to 81 years) with knee and/or hip osteoarthritis were included. Demographic, clinical, and survey data (Mini-OAKHQoL, Nottingham Health Profile, Short Form-36, Western Ontario and McMaster Universities Osteoarthritis Index, Lequesne Index, and Visual Analog Scale of pain intensity) were recorded. Missing data, floor effect, and ceiling effect were calculated. For reliability analysis, internal consistency and test-retest reliability were discovered. Face, content, convergent, and divergent validities were applied. Results: Among the patients, 52 (62.65%) had knee osteoarthritis, 26 (31.32%) had hip osteoarthritis, and five (6.02%) had both. Mini-OAKHQoL had a good face and content validity. The average item completion rate was 96.9%, with the time needed to perform was about 4 min. None of the subscales of Mini-OAKHQoL presented floor or ceiling effect, with a good range of responses. The Cronbach alpha coefficients and intraclass correlation coefficient (ICC) analysis of the subscales ranged from 0.927 to 0.676 and 0.987 to 0.843, respectively. Regarding convergent validity, the physical activities, mental health, and pain subscales of Mini-OAKHQoL had moderate to high correlations with the topic-related subset of the other QoL surveys. There were no or weak correlations between Mini-OAKHQoL and non-QoL parameters, indicating its divergent validity. Conclusion: The Turkish version of Mini-OAKHQoL is a valid, reliable, simple, practical, accurate, completable, comprehensive, and disease-specific self-report instrument to assess QoL in patients with knee and/or hip osteoarthritis.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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".