Japanese health utilities index mark 3 (HUI3): measurement properties in a community sample
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: The McMaster Health Utilities Index Mark 3 (HUI3) is a generic multi-attribute, preference-based system for assessing health-related quality of life (HRQOL). This study describes the translation procedures and cultural adaptation of the Japanese HUI3 and its measurement properties in a community sample. METHODS: The Japanese HUI3 was developed through forward and back translations in cooperation with the developers of the HUI. Acceptability, comprehensibility of questionnaires, and test-retest reliability were assessed. In a community survey of a total of 3860 people (age: 41 ± 14.3, male/female: 2651/1209), the Canadian scoring function was used to calculate utility scores. Construct validity was assessed by examining the relationship between 20 personal characteristics and utility scores. RESULTS: Linear regression estimates demonstrated a significant negative relation between HUI3 utility score and low education, male gender, poor interpersonal relationships, older age, and a higher number of chronic diseases. Single-attribute utility scores were associated with chronic conditions in the manner expected. The community samples were relatively healthy. More than 90% of the respondents were distributed in levels 1 and 2 in all attributes except cognition. Interpretability of utility score was assessed by estimation of the relationship between visual analogue scale (VAS) and the self-rated health and utility score. Independence of attributes was assessed. For only 3 of the 28 possible cross-comparisons among the 8 attributes were correlations coefficients greater than 0.25. CONCLUSION: Translation and adaptation of the HUI3 questionnaire into Japanese was successful, but the sample size and selection bias limit the interpretation of our study conclusions.
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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 | 0.018 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it