Parental Awareness, Attitude, and Acceptability of the Human Papillomavirus Vaccine in Jeddah, Saudi Arabia: An Analytical Cross-Sectional Study
Bibliographic record
Abstract
Background Human papillomavirus (HPV) is a significant public health concern linked to various cancers and genital warts. Despite the availability of effective vaccines, vaccination rates remain suboptimal in many regions. Understanding parental awareness, attitudes, and acceptability of the HPV vaccine is critical for developing targeted interventions to increase vaccination uptake. Objective This study aims to assess parental awareness, attitudes, and acceptability of the HPV vaccine in Jeddah, Saudi Arabia, and identify factors influencing their decision-making regarding HPV vaccination for their children. Methods An analytical cross-sectional study was conducted in Jeddah, Saudi Arabia, in 2023. The calculated sample size was 420 parents. Eligible parents with at least one female child aged from nine to 18 years old were invited to participate in the study. A structured questionnaire was administered to parents, collecting data on demographics, knowledge of HPV and its vaccine, attitudes toward vaccination, and reasons for vaccine acceptability or hesitancy. Descriptive statistics were used to summarize the data, and inferential statistics were applied to identify associations between demographic factors and vaccine acceptability. Results The study included a diverse sample of parents. Approximately 153 (35.9%) of participants believed the HPV vaccine was effective, while 129 (30.3%) felt the benefits outweighed the risks. Common reasons for vaccinating included protection against sexually transmitted diseases (159, 37.3%) and genital cancers (178, 41.8%). Hesitancy was primarily due to fear of adverse effects (141, 33.1%) and insufficient information (84, 19.7%). Statistical analysis revealed significant correlations between vaccine acceptability and parental education level, employment status, and personal vaccination history. Conclusion The findings highlight a moderate level of awareness and acceptability of the HPV vaccine among parents in Jeddah. Educational interventions focusing on vaccine safety and efficacy are essential to address misconceptions and increase vaccination rates. Further research should explore tailored strategies to enhance parental acceptance of HPV vaccination in similar contexts.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".