Cost‐effectiveness analysis of hepatitis C virus (HCV) point‐of‐care assay for HCV screening
Bibliographic record
Abstract
BACKGROUND & AIMS: Hepatitis C virus (HCV) continues to pose significant public health concerns with approximately 44% of chronically infected Canadians undiagnosed. The current HCV screening in Canada is a two-step diagnosis pathway consisting of anti-HCV testing and HCV ribonucleic acid (RNA) testing. The introduction of HCV point-of-care assays, such as the Xpert HCV viral load finger-stick assay, can facilitate HCV RNA diagnosis during a single visit and provide quick linkage to care. We evaluated the cost-effectiveness of HCV point-of-care testing compared with current HCV screening strategies for injection drug users (IDUs) from a Canadian provincial Ministry of Health perspective. METHODS: A state-transition model based on published literature was developed to compare HCV point-of-care assay with the standard-of-care blood screening for a one-time HCV screening and treatment program. It adopted a lifetime time horizon and included health states related to treatment, fibrosis stages, and advanced liver disease clinical states. Outcomes were expressed in costs, quality-adjusted life years (QALYs), and incremental cost-effectiveness ratios. Sensitivity analyses were conducted to assess the robustness of the model. RESULTS: HCV point-of-care assay generated an additional 0.035 QALYs/person at a cost reduction of $21.15 compared with the standard-of-care screening. The results were the most sensitive to the specificity of HCV point-of-care assay. CONCLUSIONS: The implementation of HCV point-of-care screening in Canada is likely to be cost-saving for IDUs. Early detection and treatment of undiagnosed individuals can prolong people's life span and save healthcare costs associated with HCV-related complications.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.002 | 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 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".