Understanding human papillomavirus vaccination and vaccine hesitancy among Canadian parents
Bibliographic record
Abstract
The human papillomavirus (HPV) is the cause of several oral and genital cancers with potentially high morbidity and mortality. Vaccines that target the oncogenic strains of HPV have been developed and licensed in Canada for girls (since 2007) and boys (since 2010). These vaccines have been proven to be safe and efficacious and have been identified as a new frontier in cancer prevention. Achieving vaccine coverage targets is important for protecting individuals as well as the health of the general population. To support HPV-related cancer prevention, all Canadian provinces and territories have now implemented universal vaccination programs. However, problematically, school-based vaccination programs in Canada are not reaching coverage targets and vaccination uptake rates vary considerably along structural lines such as by region, child's gender, ethnicity, and other socio-demographic variables. Some have attributed suboptimal HPV vaccine coverage to anti-vaccine sentiments and HPV vaccine hesitancy. Understanding parental attitudes towards immunization and why children do not receive the HPV vaccine is paramount for understanding and improving the impact of Canada's HPV vaccination programs. This dissertation is comprised of four novel studies. Manuscript 1 and Manuscript 2 report on the psychometric characteristics of two new scales—the Vaccine Conspiracy Belief Scale and the Vaccine Hesitancy Scale—to identify and consistently measure these important attitudes. Manuscript 3, a project protocol paper, detailed the objectives and methodology of the first Canadian survey of a large national sample to examine HPV vaccine knowledge, attitudes, and behavioural change among parents of boys and girls. The final study, Manuscript 4, addressed one of the central objectives of this research; namely, to examine the modifying factors and individual health beliefs associated with Canadian parents' stage of decision-making using a theoretical stage model (the Precaution Adoption Process Model). Overall, this body of work contributes to the measurement of vaccine attitudes and the understanding of the psychosocial factors affecting HPV vaccination decisions and vaccine hesitancy in Canadian parents of boys and girls.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.010 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".