A Web-Based Human Papillomavirus Vaccination Intervention for Young Gay, Bisexual, and Other Men Who Have Sex With Men: Protocol for a Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: Gay, bisexual, and other men who have sex with men experience several disparities related to human papillomavirus (HPV) infection, including high incidence rates of anal cancer. Although the HPV vaccine is currently recommended for young adults, HPV vaccine coverage is modest among young gay, bisexual, and other men who have sex with men (YGBMSM). OBJECTIVE: We describe the design and methods for a randomized controlled trial (RCT) to rigorously evaluate Outsmart HPV, a population-targeted, individually tailored, Web-based HPV vaccination intervention for YGBMSM. The RCT is designed to determine the efficacy of the intervention, the mechanism by which the intervention has an effect (ie, mediation), and whether efficacy varies by participant characteristics (ie, moderation). METHODS: Outsmart HPV was previously developed and pilot-tested. This study is a 3-arm prospective RCT that will enroll a projected 1995 YGBMSM who are aged 18 to 25 years, live in the United States, and have not received any doses of the HPV vaccine. Participants will be recruited by means of paid advertisements on social media sites and randomized to receive (1) standard information on the Web about HPV vaccine (control group), (2) Outsmart HPV content on the Web with monthly unidirectional vaccination reminders sent via text messages, or (3) Outsmart HPV content on the Web with monthly interactive vaccination reminders sent via text messages. Participants will complete Web-based surveys at 4 time points during the study: baseline, immediately after engaging with Web-based content, 3 months after randomization, and 9 months after randomization. Primary outcomes will include both HPV vaccine initiation (ie, receipt of 1 or more doses of the HPV vaccine) and completion (receipt of all 3 doses recommended for this age range). We will examine constructs from the intervention's theoretical framework as potential mediators and demographic and health-related characteristics as potential moderators of intervention effects. RESULTS: The institutional review board at The Ohio State University has approved the study. Materials have been developed and finalized for all study groups. Recruitment for the RCT began in fall 2019. CONCLUSIONS: If shown to be efficacious, Outsmart HPV has the potential to fill an important gap by promoting HPV vaccination among a population at increased risk of HPV infection and HPV-related disease. TRIAL REGISTRATION: ClinicalTrials.gov NCT04032106; http://clinicaltrials.gov/show/NCT04032106. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/16294.
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How this classification was reachedexpand
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 | 0.009 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.002 | 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 teacher head, 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".