Hepatitis C models of care: approaches to elimination
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Hepatitis C direct-acting antivirals (DAAs) have an efficacy of 95% or greater, with pangenotypic options. Many regions in Canada have recently abolished the need to demonstrate fibrosis before treatment with DAAs, and several combination therapies are available under public and private insurance coverage. As a result, efforts to increase treatment are largely focused on engaging specific populations and providers. With minimal side effects and decreased need for monitoring, hepatitis C screening, linkage, and treatment can largely be done in a single setting. In this article, we highlight both Canadian and international examples of the specialist's ongoing role and discuss the task shifting of hepatitis C treatment to primary care; specialized community clinics; and mental health, corrections, addictions, and opioid substitution therapy settings. Although specialists continue to support most models of care described in the literature, we highlight the potential for non-specialist care in working toward the elimination of hepatitis C in Canada.
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 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 | 0.001 |
| 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