Attitudes of undergraduate university women towards HPV vaccination: a cross-sectional study in Ottawa, Canada
Bibliographic record
Abstract
BACKGROUND: Persistent infection with certain subtypes of human papillomavirus (HPV) is a necessary cause of cervical cancer. Although two prophylactic vaccines have been licensed in Canada against cancerous subtypes of HPV, vaccine uptake has been lower than anticipated. The primary objective of this study was to determine the acceptability of catch-up HPV vaccination to undergraduate university women under the age of 25, by assessing their perceptions of HPV vaccination. METHODS: A total of 401 University of Ottawa female undergraduate students participated in a cross-sectional bilingual web-based survey on HPV vaccination. RESULTS: The prevalence of immunization with at least 1 HPV vaccine dose was 49% in the study population. Although the overall attitude of study participants towards the vaccine was positive, vaccinated respondents had a more favourable attitude towards the vaccine than non-vaccinated respondents. Approximately half of the non-vaccinated respondents were interested in receiving the vaccine at some point in the future. The primary barriers to HPV vaccination identified by non-vaccinated respondents were lack of knowledge about the vaccines, potential vaccine side effects and cost of vaccination. Multivariable analysis comparing non-vaccinated respondents who intended to be vaccinated and those who did not suggests that the former group had a more favourable attitude towards the vaccine and would be influenced by doctor recommendation. CONCLUSIONS: Offering HPV vaccination for women aged 18 to 25 provides an opportunity to address suboptimal vaccination coverage in the population and may reduce health inequities demonstrated by variations in cervical cancer incidence within jurisdictions.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".