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Record W4413668155 · doi:10.2196/73366

Boosting Human Papillomavirus Vaccination Rates: Protocol for a Randomized Controlled Trial of Awareness Interventions in Réunion Island

2025· article· en· W4413668155 on OpenAlexvenueno aff
Julie Duclaud, A. Bertolotti, Emmanuel Chirpaz, Jessica Sambourg, K. Diallo, Vincent Balaya, Phuong Lien Tran

Bibliographic record

VenueJMIR Research Protocols · 2025
Typearticle
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsnot available
Fundersnot available
KeywordsPreprintPsychological interventionRandomized controlled trialProtocol (science)VaccinationMedicineBoosting (machine learning)PsychologyAlternative medicineComputer scienceNursingVirologyWorld Wide WebSurgery

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.029
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.078
Threshold uncertainty score0.260

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0290.026
Meta-epidemiology (narrow)0.0070.004
Meta-epidemiology (broad)0.0130.005
Bibliometrics0.0020.003
Science and technology studies0.0040.004
Scholarly communication0.0030.003
Open science0.0040.002
Research integrity0.0090.009
Insufficient payload (model declined to judge)0.0780.010

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.

Opus teacher head0.331
GPT teacher head0.655
Teacher spread0.324 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreProtocol

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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