Health utilities and psychometric quality of life in patients with early‐ and late‐stage hepatitis C virus infection
Bibliographic record
Abstract
BACKGROUND AND AIM: Hepatitis C virus (HCV) infection is associated with impairment in health-related quality of life (HRQOL). The purpose of this study was to evaluate HRQOL across the HCV disease spectrum using preference-based (utility) and non-preference-based (psychometric) methods, adjusting for sociodemographic factors and co-morbidity. METHODS: Hepatitis C virus patients (n = 751) were recruited from several tertiary care settings in Vancouver, Canada for this observational, cross-sectional cohort study. Patients completed the Health Utilities Index Mark 2/3, a self-administered time trade-off utility instrument, and the Hepatitis Quality of Life Questionnaire (SF-36 with HCV-specific items). We examined the association between HRQOL and disease stage using linear regression adjusting for age, education, marital status, income, and co-morbidities. RESULTS: Utility scores were low across disease stage and instrument, ranging from 0.51 to 0.80. On the SF-36, the mean Physical Component Summary score ranged from 37.2 to 49.2 across disease stage, and the Mental Component Summary score ranged from 39.7 to 45.7 (United States norms = 50). In general, patients with viral clearance had the highest scores, and those with late-stage disease (cirrhosis, liver cancer) had the lowest. Multivariable linear regression showed that the effect of disease stage was modest overall. Increasing age, lower income, unattached marital status, and high comorbidity were strongly associated with impairment in HRQOL. CONCLUSIONS: The effect of stage of disease on HRQOL is modest, although viral clearance is associated with higher HRQOL. HCV patients' HRQOL is strongly associated with concomitant illness and sociodemographic factors.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".