Impact of a Papillomavirus Vaccination Promotion Program in Middle School: Study Protocol for a Cluster Controlled Trial
Bibliographic record
Abstract
BACKGROUND: On Reunion Island, incidence and mortality for uterine cervical cancer is high, yet coverage rate for human papillomavirus (HPV) vaccination is low. OBJECTIVE: The main objective of the study is to evaluate the impact of a health promotion program promoting HPV vaccination on the proportion of middle school girls who complete the full HPV vaccination schedule (2 or 3 doses) by the end of school year. METHODS: This study is a cluster controlled intervention study using a superiority design. A combined health promotion program will be offered containing information to students and parents, training of general practitioners, and free school-based vaccination (in a "health bus"). Children who attend this program will constitute the intervention group and will be compared to children from another middle school who will not attend the program constituting the control group. RESULTS: Recruitment began in October 2020. In the intervention school, of 780 students, 245 were randomly selected in the 12 classes. In the control school, 259 students out of 834 were randomly selected. CONCLUSIONS: In this study, we explore the impact of a health promotion program combining information toward students, parents, and general practitioners with free school-based vaccination. We expect a significantly higher HPV vaccination coverage in the intervention school as compared to the control school, whether it be among girls or boys. The final implication would be an extension of this program in all middle schools on the Island and thus an increase in HPV vaccination coverage. TRIAL REGISTRATION: ClinicalTrials.gov NCT04459221; https://clinicaltrials.gov/ct2/show/NCT04459221. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/35695.
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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 | 0.033 | 0.029 |
| Meta-epidemiology (narrow) | 0.007 | 0.004 |
| Meta-epidemiology (broad) | 0.018 | 0.008 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.008 | 0.007 |
| Insufficient payload (model declined to judge) | 0.073 | 0.011 |
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".