Province-to-province variability in hepatitis C testing, care, and treatment across Canada
Bibliographic record
Abstract
Background: Few countries have implemented the necessary policy changes to reduce the number of steps in the cascade of care to achieve hepatitis C virus (HCV) elimination, including Canada. The aim of this study was to describe and compare legislation, scope of practice, and policy as it relates to the provision of HCV care in each province. Methods: We reviewed grey literature and regulatory and legislative documents which affect various aspects of the HCV cascade of care. Findings were verified by content experts. Results: HCV RNA reflex testing ensures those that are antibody positive get an HCV RNA test; however only 80% of provinces have reflex test. Point-of-care antibody testing can be offered in most community non-health care settings, yet many types of health care providers are unable to do this independently. Following a positive test, it may not be feasible to complete venipuncture; however only a single province processes HCV RNA dried blood spot cards. In many provinces, training and verification are required for novice prescribers, and in some provinces prescribing continues to be restricted to specialists. Only a single province has task-shifted treatment to a non-physician non-nurse practitioner model, where pharmacists can prescribe treatment. Finally, 80% of provinces require authorization forms, and 30% require proof of investigations for treatment. Conclusions: No single province is optimizing the use of diagnostic tools and task shifting and decreasing paperwork to expedite treatment initiation. Collaboration between provinces is needed to streamline practice, update policy, and promote equity in HCV diagnosis, care, and treatment.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".