Health-State Utilities and Quality of Life in Hepatitis C Patients
Bibliographic record
Abstract
OBJECTIVE: Health-state utilities are global measurements of quality of life on a scale from 0 (death) to 1 (full health). Utilities are used to evaluate health outcomes and are the preferred outcome measure for policy models that determine the cost-effectiveness of treatments. Currently, utilities for hepatitis C virus (HCV)-infected patients have been estimated using expert judgments. The purpose of this study was to elicit HCV utilities directly from patients. METHODS: We assessed the utilities of 193 outpatients at various stages of chronic HCV progression by using a visual analog scale, the standard gamble technique, the Health Utilities Index Mark 3 survey, and the EuroQol Index survey. We also incorporated the nonutility-based Short Form-36v2 survey, which provides a detailed profile of health status. RESULTS: The mean standard gamble utilities were: 0.78 for patients without a recent liver biopsy and no signs of cirrhosis; 0.79 for mild to moderate chronic HCV infection; 0.80 for compensated cirrhosis; 0.60 for decompensated cirrhosis; 0.72 for hepatocellular carcinoma; 0.73 for transplant; and 0.86 for sustained virological responders to interferon +/- ribavirin treatment. The Health Utilities Index Mark 3 survey and the EuroQol Index survey utilities were lower than Canadian population norms (p < 0.001). Patient-elicited utilities were lower than previous expert estimates for mild/moderate chronic infection and sustained virological responders, but higher for decompensated cirrhosis and hepatocellular carcinoma. The Short Form-36v2 survey scores revealed several significant health impairments (p < 0.005) when compared with U.S. population norms. CONCLUSIONS: These findings 1) suggest that quality of life (QOL) differences across the HCV clinical spectrum are smaller than previously believed; 2) support other evidence suggesting that QOL is significantly diminished in HCV patients; and 3) provide utility values derived directly from HCV patients.
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 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 | 0.014 | 0.002 |
| 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 | 0.000 |
| 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".