Publicly Funded, Pegylated Interferon-Alpha Treatment in British Columbia: Disparities in Treatment Patterns for People with Hepatitis C
Bibliographic record
Abstract
BACKGROUND: An estimated 60,000 British Columbians are chronically infected with the hepatitis C virus (HCV); 10% to 20% will develop cirrhosis after 20 years and 5% to 10% of these will develop hepatocellular carcinoma. Although treatment may prevent cirrhosis and liver cancer, and improve quality of life, availability is limited. METHODS: Individuals with HCV genotypes 1, 4, 5 and 6 who underwent baseline HCV-RNA tests between January 1, 2003 and December 31, 2005, and were eligible for publicly funded treatment through PharmaCare were linked to British Columbia's reportable disease database. Patterns in treatment were examined, including age at treatment, sex, location, time to treatment from HCV diagnosis and seasonality of treatment. RESULTS: When corrected for HCV prevalence, men were more likely to receive treatment than women (RR 1.16, 95% CI 1.02 to 1.31). Patients aged 35 to 54 years and 55 years or older were 3.45 times (95% CI 2.80 to 4.26 times) and 4.49 times (95% CI 3.55 to 5.69 times), respectively, more likely to initiate treatment than 15- to 34-year-olds. Differences were noted between health authorities. Patients in rural health service delivery areas (HSDAs) were 1.25 times (95% CI 1.10 to 1.42 times) more likely to receive treatment than those in urban HSDAs. Patients had an average lapse of four years between HCV diagnosis and receiving treatment. The highest proportion of patients initiated therapy between January and March (36.5%), with the lowest between October and December (less than 14%). CONCLUSIONS: This data linkage enabled us to identify populations less likely to receive publicly funded treatment. Rural HSDAs have higher rates of therapy initiation; this pattern merits further research but may be a result of integrated prevention and care projects in rural areas. Policy changes to the current PharmaCare funding co-payment schedules could reduce seasonal variability of treatment initiations throughout the year.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".