Assessment of Knowledge, Attitudes, and Practices Regarding Chronic Hepatitis C Treatment and Its Challenges: A Survey of Internal Medicine Residents in a Community Hospital
Bibliographic record
Abstract
BACKGROUND: Despite recent advances in chronic hepatitis C (CHC) treatment, only a small proportion of patients are connected with care and receive treatment. Internal medicine (IM) residents spend nearly one-third of their training in primary care settings and play a crucial role in diagnosing and counseling patients as well as linking patients with care and following up. METHODS: IM residents in a community hospital completed an anonymous questionnaire regarding their knowledge, attitude, and practice associated with CHC treatment and its challenges. RESULTS: Descriptive analysis of the survey showed that there is a substantial gap in knowledge regarding the newer treatment of CHC between IM residents' perceptions of patient awareness and IM residents. CONCLUSION: Updated education regarding CHC that is geared towards medical residents and focused on new modalities of treatment can narrow the gap and lead to considerable increases in the rates of diagnosis and treatment and decreases in morbidity and mortality.
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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 | 0.007 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".