Achieving Hepatitis C Elimination By Using Person-Centered, Nurse-Led Models of Care
Bibliographic record
Abstract
Nurse-led models of care are an important strategy in the management of patients with chronic disease because of the person-centered approach that allows the needs of the individual to be prioritized and addressed in accessible settings. Hepatitis C is caused by a blood-borne virus that can cause liver disease and liver cancer; it predominantly affects marginalized populations, including people who inject drugs. Since 2013, all oral, direct-acting antiviral regimens have been available to cure hepatitis C. Nurses are well placed to be involved in the delivery of hepatitis C testing and treatment because of their extensive reach within marginalized communities and holistic approach to patient care. Four case studies of nurse-led models of care operating in Australia, Canada, the United Kingdom, and the United States are presented to illustrate the important role nurses have in delivering accessible, person-centered hepatitis C testing and treatment. Each case study demonstrates the success of overcoming barriers to hepatitis C testing and treatment such as geographic isolation, incarceration, social marginalization, and inflexible healthcare systems. Achieving the global target to eliminate hepatitis C by 2030 will require the nursing profession to embrace its role as the first point of contact to the healthcare system for many members of marginalized communities potentially at risk of hepatitis C. Nurses are well placed to reduce barriers and facilitate access to healthcare by scaling up activities focused on hepatitis C testing and treatment.
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How this classification was reachedexpand
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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".