Capacity Enhancement of Hepatitis C Virus Treatment through Integrated, Community-Based Care
Bibliographic record
Abstract
BACKGROUND: An estimated 250,000 Canadians are infected with the hepatitis C virus (HCV). The present study describes a cohort of individuals with HCV referred to community-based, integrated prevention and care projects developed in British Columbia. Treatment outcomes are reported for a subset of individuals undergoing antiviral therapy at four project sites. METHODS: Four demonstration projects based on a public health nurse and physician partnership were established in rural and small urban centres in British Columbia. Comprehensive medical assessments determined whether individuals received treatment, or counselling and education. Outcomes of the treatment group were compared with published randomized controlled trials. Client demographics were mapped using geographical information systems applications. RESULTS: A total of 1795 individuals were referred to the clinics for medical assessment between September 2001 and December 2005. After assessment, 26% were eligible for therapy, while 74% received counselling and education. Wait times decreased annually, with one-half of all referrals assessed within 30 days. Combination antiviral therapy was initiated in 363 clients with interferon plus ribavirin (n=36) or pegylated interferon plus ribavirin (n=327). Treatment outcomes were available for 205 individuals. The overall rate of sustained virological response was 61% (126 of 205 individuals). The number of individuals assessed at each site represented, on average, 20% of the total cumulative reported HCV cases in the catchment areas. DISCUSSION: The study findings illustrate how a public health nurse and physician partnership can service a population with complex medical needs while simultaneously increasing local capacity. Treatment outcomes were comparable with published clinical trials.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".