Coverage from Ontario, Canada's school-based HPV vaccine program: The first three years
Bibliographic record
Abstract
BACKGROUND: In 2007, Ontario implemented a school-based human papillomavirus (HPV) vaccination program targeting grade 8 girls. Girls may complete the series in grade 9 (extended eligibility). Limitations in the existing provincial data sources for assessing HPV vaccine coverage in Ontario prompted the use of two surveys of Health Units (HUs) to calculate provincial vaccine coverage for the first three years of the vaccination program. METHODS: We surveyed Ontario's 36 HUs in March and November 2011 to obtain vaccine coverage information, including source of denominator data, and use of local information systems. The second survey was necessary in order to assess coverage including extended eligibility for the third year. HU-reported HPV vaccine coverage was compared to coverage estimates obtained from two provincial systems: the Immunization Records Information System (IRIS) and the HPV reimbursement database, a system used to remunerate HUs for HPV vaccine doses administered. RESULTS: 100% of HUs participated in the two surveys. The provincial coverage estimates using HU-reported data were: 51% (2007-2008), 58% (2008-2009), and 59% (2009-2010) with large variation by HU. Coverage increased significantly over time. The number of HUs that were able to report on doses given as part of extended eligibility also increased over time (47% in 2007-2008 to 89% in 2009-2010; p=0.0008). Comparisons across the three data sources (survey, IRIS and reimbursement database) revealed significantly different coverage estimates. Class or school lists were the most common source of denominator data used by HUs (27/36, 75%), however independent schools were not included by all. CONCLUSIONS: As not all HUs were able to report on HPV vaccine coverage including extended eligibility doses these findings likely underestimate the true coverage attained by Ontario's program. Although coverage is below the Canadian Immunization Committee benchmark of 80% within two years of program implementation, the upward trend in coverage is encouraging.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".