Parents’ uptake of human papillomavirus vaccines for their children: a systematic review and meta-analysis of observational studies
Bibliographic record
Abstract
OBJECTIVE: To examine factors associated with parents' uptake of human papillomavirus (HPV) vaccines for their children. DESIGN: Systematic review and meta-analysis. DATA SOURCES: Cochrane Library, AIDSLINE, CINAHL, EMBASE, PsycINFO, Social Sciences Abstracts, Ovid MEDLINE, Scholars Portal, Social Sciences Citation Index and Dissertation Abstracts International from inception through November 2017. METHODS: We included studies that sampled parents and assessed uptake of HPV vaccines for their children (≤18 years) and/or sociodemographics, knowledge, attitudes or other factors associated with uptake. Study risk of bias was assessed using the Effective Public Health Practice Project tool. We pooled data using random-effects meta-analysis and conducted moderation analyses to examine variance in uptake by sex of child and parent. RESULTS: Seventy-nine studies on 840 838 parents across 15 countries were included. The pooled proportion of parents' uptake of HPV vaccines for their children was 41.5% (range: 0.7%-92.8%), twofold higher for girls (46.5%) than for boys (20.3%). In the meta-analysis of 62 studies, physician recommendation (r=0.46 (95% CI 0.34 to 0.56)) had the greatest influence on parents' uptake, followed by HPV vaccine safety concerns (r=-0.31 (95% CI -0.41 to -0.16)), routine child preventive check-up, past 12 months (r=0.22 (95% CI 0.11 to 0.33)) and parents' belief in vaccines (r=0.19 (95% CI 0.08 to 0.29)). Health insurance-covered HPV vaccination (r=0.16 (95% CI 0.04 to 0.29)) and lower out-of-pocket cost (r=-0.15 (95% CI -0.22 to -0.07)) had significant effects on uptake. We found significant moderator effects for sex of child. CONCLUSIONS: Findings indicate suboptimal levels of HPV vaccine uptake, twofold lower among boys, that may be improved by increasing physician recommendations, addressing parental safety concerns and promoting parents' positive beliefs about vaccines, in addition to expanding insurance coverage and reducing out-of-pocket costs. Limitations of this meta-analysis include the lack of intervention studies and high risk of bias in most studies reviewed. Further studies should disaggregate HPV vaccine uptake by sex of child and parent.
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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 | 0.032 | 0.091 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.019 | 0.036 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".