Barriers to hepatitis C diagnosis and treatment in the DAA era: Preliminary results of a community-based survey of primary care practitioners
Bibliographic record
Abstract
Notwithstanding the groundbreaking achievement of hepatitis C curative treatment with direct-acting antiviral therapies, Canada faces an uphill battle in reaching the 2030 goal of viral elimination set forth by the World Health Organization, a goal made more difficult by the COVID-19 pandemic. There is limited understanding of the diagnostic and treatment barriers, and challenges in linkage to care in Canada, especially as it pertains to primary care providers in a community context. Therefore, in this article, the authors conducted a survey study to evaluate the following factors: primary care providers' knowledge of specialist treatment options and the importance of screening and treatment; and patient factors, including transportation, linguistic barriers, and other socio-economic status indicators that impact the screening and management of hepatitis C. The results suggest that public health campaigns that protocolize and/or incentivize screening and referrals may provide solutions to addressing such barriers.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".