Boosting Human Papillomavirus Vaccination Rates: Protocol for a Randomized Controlled Trial of Awareness Interventions in Réunion Island
Notice bibliographique
Résumé
BACKGROUND: Human papillomavirus (HPV) is the most common sexually transmitted infection worldwide and imposes a significant public health burden. In 2019, HPV was responsible for approximately 620,000 cancer cases in women, 70,000 in men, and more than 300,000 deaths globally. Despite the proven efficacy of the vaccine, vaccination rates remain alarmingly low in certain regions of France. In Réunion Island, only 16% of girls and 9% of boys under 16 years old were fully vaccinated in 2024. This underscores the need for increased awareness, education, and outreach programs. Peer learning is well-established in health education, whereas serious game-style card games are newer and require further research. Both methods have been shown to improve knowledge on specific topics. OBJECTIVE: The main objective of this study is to assess the impact of 2 awareness-raising strategies on increasing HPV vaccination rates among middle school students by actively involving them in the process. METHODS: This protocol describes the design of a randomized, open-label, controlled trial aimed at evaluating the effectiveness of 2 awareness-raising interventions-peer learning and a card-based serious game-in improving HPV vaccination rates among middle school students in Réunion Island. The study will span an entire school year, beginning in August. Approximately 3600 students from 24 middle schools in Réunion Island will be included, with schools randomized into 3 groups of 8 each: (1) a control group receiving the existing national vaccination campaign initiated by the French public health institute; (2) ambassador classes, whose students will receive education about the HPV vaccine and later educate other students in the same school; and (3) serious game card group, where students can play and learn about HPV during a science class. The primary outcome will be the proportion of teenagers who initiate the vaccination process, compared across the 3 groups using appropriate statistical methods. Anonymized data will be collected at the end of the school year using social security records. Teenagers' knowledge of HPV will be assessed both before and 3 months after each intervention, and satisfaction will also be evaluated after the intervention in each group. RESULTS: As of May 2025, a preliminary result enrolling 124 students showed an increase in vaccination coverage after students played a serious game. We expect higher vaccination rates in the intervention groups compared with the control group, although it is difficult to predict which strategy will be more effective. The estimated target vaccination coverage for groups b and c is 45%. CONCLUSIONS: This study aims to improve HPV vaccination rates among teenagers in Réunion Island by evaluating the impact of 2 awareness-raising strategies using innovative and engaging tools. If successful, this approach could be adapted and implemented in other regions of France or internationally. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/73366.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,029 | 0,026 |
| Méta-épidémiologie (sens strict) | 0,007 | 0,004 |
| Méta-épidémiologie (sens large) | 0,013 | 0,005 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,004 | 0,004 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,004 | 0,002 |
| Intégrité de la recherche | 0,009 | 0,009 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,078 | 0,010 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».