Predisposing, reinforcing and enabling factors associated with hepatitis B testing in Chinese Canadians in British Columbia.
Bibliographic record
Abstract
BACKGROUND: Liver cancer, a significant health problem in Chinese, can be controlled through HBV blood testing, vaccination, and community education about HBV. The PRECEDE framework has been very helpful in identifying factors associated with health practices. OBJECTIVES: The objective was to identify factors associated with HBV testing in Chinese Canadians, using the PRECEDE framework. METHODS: Five hundred and thirty-three randomly selected Chinese Canadian adults were interviewed about HBV blood testing practices. Factors were grouped as predisposing, reinforcing and enabling. RESULTS: Fifty-five percent had received HBV blood testing. Several predisposing factors, all reinforcing factors and one enabling factor were associated with HBV testing in bivariate analysis. A physician's recommendation for testing was the strongest factor associated with testing in multiple logistic regression analysis (OR=4.4, p<0.0001). INTERPRETATION: Many Chinese Canadian adults in Vancouver have not been tested for HBV. Continuing educational efforts are needed and the PRECEDE framework can inform the development of health education interventions.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".