Socioeconomic and Health-Related Characteristics Associated with Initiation and Completion of Human Papillomavirus Vaccination among Males in the United States: An In-Depth Systematic Review and Meta-Analysis
Why this work is in the frame
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Bibliographic record
Abstract
Human papillomavirus (HPV) vaccination among males is poorly understood. We systematically reviewed individual socioeconomic/health-related characteristics associated with HPV vaccine initiation and vaccination series completion among males in the United States. We searched for literature up to August 1, 2023, and pooled appropriate multivariable-adjusted results using an inverse variance random effects model, with results expressed as odds ratios. Among pediatric males (<18 years old), we observed moderately increased odds of vaccine initiation in urban residence, with being a Black/Hispanic male versus White male, public versus private health insurance, and visiting a health care provider in the past year. Influenza vaccination in the past year strongly increased the odds. Further, urban residence and having a parent with lower/no education moderately increased the odds of vaccination series completion, whereas influenza vaccination strongly increased the odds. Among adult males (≥18 years old), we observed moderately increased odds of vaccine initiation in the US-born, unemployed, unmarried/separated/divorced/widowed; among the states in the Northern versus Western region; having had a sexually transmitted infection; and being gay/bisexual. Younger age, living in the states in the Northern versus Southern region, having health insurance, and having visited a health care provider in the past year strongly increased the odds. Further, higher education, unmarried/separated/divorced/widowed, being a White male versus Black male, living in the states in the Northern versus Western region, and having a primary care physician moderately increased the odds of vaccination series completion, whereas having health insurance and being gay/bisexual strongly increased the odds. These findings may inform age-targeted future vaccination program planning.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 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) | 0.000 | 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 it