Prescribing trends in direct-acting antivirals for the treatment of hepatitis C in Ontario, Canada
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
Background: Direct-acting antivirals (DAA) offer an opportunity to cure hepatitis C. Reimbursement for DAAs has changed on two occasions since their inclusion on the Ontario public formulary. Whether these changes have appreciably modified prescribing patterns and increased access to DAAs is unknown. Methods: We conducted a repeated cross-sectional study of DAA reimbursement by the Ontario Public Drug Programs from January 1, 2012, to December 31, 2018, to summarize the use of DAAs in Ontario and describe changes in DAA prescribing physician specialties over this period. We measured the total number of users quarterly. Results are reported overall and by prescriber type. Results: = 17,813; 65.7%) of all DAAs were prescribed by gastroenterologists, hepatologists, or infectious disease specialists. Use of DAAs over time appears to have had three major phases in uptake: (1) the introduction of DAA treatments on the Ontario public drug formulary as a prior authorization benefit in Q1 2015, (2) expanded listing of all DAAs as limited-use products on the formulary in Q1 2017, and (3) the introduction of newer DAAs in Q2 2018. Conclusions: Changes in listing of these agents had a direct impact on the use of DAAs overall. Generally, broader listing expanded access but did not appear to shift utilization patterns to primary care prescribers. Further understanding of who is not receiving treatment is needed.
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) | 0.000 | 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) | 0.001 | 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