The structural and organizational aspects of human papillomavirus vaccine affecting immunization coverage in Europe: a systematic review
Bibliographic record
Abstract
The introduction of HPV vaccinations, that can prevent most prevalent HPV-related cancers of various body districts, is a public health milestone. Despite broad immunization programs, European Health Systems face structural and organizational difficulties that hinder care. This study examined structural and organizational elements that may affect HPV vaccine coverage. We searched numerous databases from January 1, 1995 to May 15, 2023, for literature on HPV immunization research methodologies. Structural and Organizational aspects that cause HPV vaccine concerns in women and men were examined in the outcome evaluations and the research examined vaccination willingness factors. Ottawa, JBI's critical appraisal tool, and Amstar quality assessment assessed bias. A total of 10 articles from 312 studies met the inclusion criteria. Studies were undertaken in Italy, Belgium, England, Switzerland, France, the UK, and Spain. There were also combined-diverse studies in 15 and 27 European countries. Several primary healthcare strategies have increased HPV vaccination rates. These include vaccine procurement and cost-effectiveness, school-based immunization programs, electronic health databases, health professional training, health education and communication, and monitoring and surveillance.
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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 | 0.007 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.009 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".