Intention of parents to have male children vaccinated with the human papillomavirus vaccine
Bibliographic record
Abstract
BACKGROUND: Although already approved for use in males in some jurisdictions, there is little information about parental attitudes toward having their sons receive the human papillomavirus (HPV) vaccine. The goal of this study was to ascertain parental intentions to vaccinate their sons with an HPV vaccine and to determine factors that predict this intention. METHODS: Parents of children aged 8-18 years were recruited from across Canada through random digit dialling. Participants were asked to respond to a series of questions in the context of a Grade 6 (age 11/12 years old), publicly funded school-based HPV vaccine programme, including their intention to vaccinate their sons with the HPV vaccine. Parents were also asked about a series of characteristics thought to predict intention to vaccinate as well as demographic characteristics. Backwards logistic regression was conducted to calculate adjusted odds ratios (AOR) to identify the factors that are predictive of parents' intention to vaccinate their son(s) against HPV. RESULTS: Of the 1381 respondents with male children, 67.8% (95% CI 65.3 to 70.3) intend to vaccinate their son(s) against HPV. Parents who had positive attitudes toward vaccines and the HPV vaccine in particular (AOR 41.5, 95% CI 9.5 to 181.7), parents who were influenced by subjective norms (AOR 7.8, 95% CI 5.8 to 10.5), parents who felt that the vaccine had limited influence on sexual behaviour (AOR 2.3, 95% CI 1.6 to 3.3) and parents who were aware of HPV (AOR 1.4, 95% CI 1.1 to 2.0) were significantly more likely to report an intention to vaccinate boys against HPV. In contrast, residence in British Columbia compared to Atlantic Canada (AOR 0.4, 95% CI 0.2 to 0.8) and higher education (AOR 0.7, 95% CI 0.5 to 0.9) were negatively associated with intention to vaccinate. Parents who reported an intention to vaccinate their daughters were also highly likely to report an intention to vaccinate their sons (kappa = 0.9, p<0.001). DISCUSSION: The majority of Canadian parents would intend to have their male children receive the HPV vaccine in the context of a publicly funded school-based immunisation programme. Overall attitudes toward vaccine, recommendations from health professionals and impact of the vaccine on sexual practices are important predictors of intention to have a male child receive the HPV vaccine.
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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 | 0.006 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".