Coverage and Determinants of Uptake for Privately Funded Rotavirus Vaccine in a Canadian Birth Cohort, 2008–2013
Bibliographic record
Abstract
BACKGROUND: Rotavirus can lead to serious illness or death, even in developed countries. While vaccination can provide protection, many jurisdictions are still grappling with the issue of whether to introduce a universal publicly funded rotavirus vaccination program. This retrospective population-based study assessed rotavirus vaccine coverage, determinants of uptake, and compliance with the recommended schedule in a Canadian jurisdiction with a privately-funded rotavirus vaccination program. METHODS: Analysis of pharmaceutical dispensing, vital statistics, and administrative health data determined vaccine coverage and schedule compliance from 2008 to 2013. Multivariable logistic regression was used to assess characteristics of families purchasing vaccine. RESULTS: Vaccine coverage ranged from 1% to 4% between 2008-2013, with 52% of vaccinated children completing the full vaccine series; 7.9% and 3.8% of children received doses before and after the recommended ages, respectively. Children who received ≥1 doses of the vaccine were more likely to have mothers who were married (adjusted odds ratio [aOR] 1.76, 95% CI1.64-1.88), fewer siblings (aOR 3.44, 95%CI 3.01-3.94), be non-First Nations (aOR 2.29, 95%CI 1.78-2.94), and be born prematurely (aOR 1.32, 95%CI 1.23-1.42). Income was a strong influence in urban areas, but not in rural regions, where coverage was lower overall. CONCLUSIONS: Vaccine coverage in a privately-funded model was very low and left high risk populations unprotected. Vaccine series completion and compliance with recommended scheduling was also suboptimal.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".