Factors associated with specialist assessment and treatment for hepatitis C virus infection in New South Wales, Australia
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
Assessment and treatment for hepatitis C virus (HCV) in the community remains low. We evaluated factors associated with HCV specialist assessment and treatment in a cross-sectional study to evaluate treatment considerations in a sample of 634 participants with self-reported HCV infection in New South Wales, Australia. Participants having received HCV specialist assessment (n = 294, 46%) were more likely to be have been older (vs <35 years; 35-44 OR 1.64, P = 0.117; 45-54 OR 2.00, P = 0.024; ≥55 OR 5.43, P = 0.002), have greater social support (vs low; medium OR 3.07, P = 0.004; high OR 4.31, P < 0.001), HCV-related/attributed symptoms (vs none; 1-10 OR 3.89, P = 0.032; 10-21 OR 5.01, P = 0.010), a diagnosis of cirrhosis (OR 2.40, P = 0.030), have asked for treatment information (OR 1.91, P = 0.020), have greater HCV knowledge (OR 2.49, P = 0.001), have been told by a doctor to go onto treatment (OR 3.00, P < 0.001), and less likely to be receiving opiate substitution therapy (OR 0.10, P < 0.001) and never to have seen a general practitioner (OR 0.24, P < 0.001). Participants having received HCV treatment (n = 154, 24%) were more likely to have greater fibrosis (vs no biopsy; none/minimal OR 3.45, P = 0.001; moderate OR 11.47, P < 0.001; severe, OR 19.51, P < 0.001), greater HCV knowledge (OR 2.57; P = 0.004), know someone who has died from HCV (OR 2.57, P = 0.004), been told by a doctor to go onto treatment (OR 3.49, P < 0.001), were less likely to have been female (OR 0.39, P = 0.002), have recently injected (OR 0.42, P = 0.002) and be receiving opiate substitution therapy (OR 0.22, P < 0.001). These data identify modifiable patient-, provider- and systems-level barriers associated with HCV assessment and treatment in the community that could be addressed by targeted interventions.
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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) | 0.001 | 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 | 0.001 |
| 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 it