Validity of the Iranian Version of Health Utility Index Mark 3 Quality of Life Questionnaire
Bibliographic record
Abstract
Background: The aim of this study was to standardize and develop the health utility index III (HUI3); quality of life questionnaire. This study was conducted for the first time in Iran. Method: Forward-backward translation method was applied in order to translate the Canadian version into Persian. The final version was developed after modifications. Double stage cluster sampling and simple random sampling were respectively used for population and patients. A total of 511 healthy people in 15 regions of Esfahan/Iran and 51 patients suffering from cardiovascular disease completed the questionnaire. Cronbach's alpha and interclass correlation coefficient were used for testing the reliability of the questionnaire. Results: The mean age of population was 32.8 ± 11.3 years and the mean age of patients was 48.8 ± 6.2 years. The assessment of Interclass Correlation Coefficient of the tool in patients after two weeks in all eight questions ranged from 0.76 to 1 (ICC=0/91) that shows its high reliability. In addition, the average score in Alfa Cronbach was 0.68. Content validity of the questionnaire was 0.82. Differentiability of the test shows that a higher quality of life can be affected by male gender, higher education, low age, and employment In addition, the utility result of quality of life indicates a significant difference in the quality of life of patients compared with the general population (p = 0.004) Conclusion: The results showed a translated version is valid, reliable and applicable in medical sciences studies and can be used to Persian language.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.008 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".