The Impact of a Human Papillomavirus Facebook-Based Intervention (#HPVVaxTalks) Among Young Black (African American and Sub-Saharan African Immigrants) Adults: Pilot Pre- and Poststudy
Bibliographic record
Abstract
Background: Despite the availability of prophylactic human papillomavirus (HPV) vaccines, uptake remains suboptimal among young Black adults. Social media is a platform for the dissemination of health information and can be used to promote HPV vaccination among young Black adults. Objective: This study aimed to assess the impact of a Facebook-based intervention (#HPVVaxTalks), which consisted of 40 posts over 8 weeks in improving cognitive outcomes, reducing vaccine hesitancy, and increasing vaccine intention, and uptake among young Black adults aged 18-26 years. Methods: A pilot 1-group pre- and poststudy was conducted among 43 young Black adults who engaged in an 8-week Facebook intervention (#HPVVaxTalks). #HPVVaxTalks was developed in collaboration with a youth community advisory committee. Participants were actively recruited by research staff from community settings using flyers, and flyers were posted in public places in communities. Eligible participants were screened for eligibility and consented prior to study participation. Participants completed baseline surveys and were added to a Facebook page created for the study to receive intervention posts. Participants completed pre- and postdata on HPV knowledge, HPV vaccine knowledge, vaccine hesitancy, and vaccine uptake via REDCap (Research Electronic Data Capture) surveys distributed by email. Participants' satisfaction with the intervention was collected via individual interviews. Data were analyzed using 2-tailed paired t tests and repeated measures analysis. Results: Overall, 32 of the 43 (74%) participants completed the follow-up survey, and of the 23 participants who reported not having ever received the vaccine at baseline, 7 (30%) reported receiving the vaccine at follow-up. Participants demonstrated significant improvements in HPV knowledge and receiving the vaccine at follow-up. Participants demonstrated significant improvements in HPV knowledge (pre: mean 7.3, SD 4.2 and post: mean 11.1, SD 4.3; P=.004) and HPV vaccine knowledge (pre: mean 2.8, SD 2.5 and post: mean 4.7, SD 2.2; P=.003) and reduction in vaccine hesitancy (pre: mean 28.3, SD 4.2 and post: mean 29.9, SD 3.6; P=.007) after the intervention. However, there were no significant changes in other outcomes. Feedback from open-ended questions and qualitative interviews highlighted participants' satisfaction with the intervention and its role in increasing HPV and HPV vaccine awareness. Conclusions: The findings from this study underscore the potential of social media platforms for health promotion among underrepresented populations and the importance of advocating for culturally appropriate interventions to improve HPV vaccination rates and reduce disparities.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".