Are there any sociodemographic factors associated with non-uptake of HPV vaccination of girls in high-income countries with school-based vaccination programmes? A systematic review
Bibliographic record
Abstract
BACKGROUND: Uptake of human papillomavirus (HPV) vaccination is generally high in high-income countries with school-based vaccination programmes; however, lower uptake in certain population subgroups could continue pre-immunisation inequalities in cervical cancer. METHODS: Six electronic databases were searched for quantitative articles published between 1 September 2006 and 20 February 2023, which were representative of the general population, with individual-level data on routine school-based vaccination (with >50% coverage) and sociodemographic measures. Titles, abstracts and full-text articles were screened for eligibility criteria and assessed for bias. A second independent reviewer randomly screened 20% of articles at each stage. A narrative synthesis summarised findings. RESULTS: 24 studies based in eight countries (Australia, Belgium, Canada, New Zealand, Norway, Sweden, Switzerland, UK) were included. Studies reported vaccination uptake by individual-level and area-level socioeconomic status (SES), parental education, religion, ethnicity and/or country of birth. 19 studies reported that more than 70% were vaccinated (range: 50.7%-93.0%). Minority ethnic groups and migrants were more likely to have lower vaccination uptake than White groups and non-migrants (11/11 studies). Lower SES was also associated with lower uptake of vaccination (11/17 studies). Associations with other sociodemographic characteristics, such as parental education and religion, were less clear. CONCLUSIONS: Even in high-income countries with high coverage school-based vaccination programmes, inequalities are seen. The totality of available evidence suggests girls from lower SES and minority ethnic groups tend to be less likely to be vaccinated. Findings could inform targeted approaches to mop-up vaccination and cervical cancer screening amidst changing HPV epidemiology in a vaccine era. TRIAL REGISTRATION NUMBER: CRD42023399648.
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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 | 0.014 | 0.083 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.010 | 0.009 |
| Bibliometrics | 0.010 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".