Sociocultural Factors That Potentially Affect the Institution of Prevention and Treatment Strategies for Hepatitis B in Chinese Canadians
Bibliographic record
Abstract
BACKGROUND: Despite the availability of screening for chronic hepatitis B (CHB) infection and effective treatments now available, many at-risk individuals fail to seek appropriate medical attention. OBJECTIVE: To identify the barriers to care for CHB infection in a Chinese Canadian community. METHODS: A survey conducted in English or Chinese collected information from individuals with CHB infection that evaluated the level of understanding and identified the barriers that may prevent Chinese patients from undergoing monitoring, screening and/or treatment for CHB infection. RESULTS: Among the 204 patients enrolled, common misconceptions were that sharing food transmits hepatitis B and that patients with severe disease are always symptomatic. Patients with a better understanding of hepatitis B were better educated, younger and were being followed at a tertiary care centre (P<0.01 for all). Prominent barriers to health care were time, inconvenience and language difficulties. Patients under the care of family physicians who had extended office hours were less likely to cite time (P=0.06) and distance (P=0.05) as barriers. CONCLUSION: Patient misconceptions that severe liver disease due to hepatitis B infection is symptomatic may factor into the unwillingness to spare the time and undergo the inconvenience associated with regular medical follow-up. Implementation of programs that increase awareness of the silent progression of CHB infection and provide culturally responsive clinics, better able to work within patients' time constraints may improve Chinese patients' access to health care.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".