Evidence map›Paper›PMID 36161120›Full record

ArticlePreventive medicine reports2022

The impact of HPV vaccine narratives on social media: Testing narrative engagement theory with a diverse sample of young adults.

Amy E Leader, Michelle Miller-Day, Rikishi T Rey, Preethi Selvan, Anne E Pezalla, Michael L Hecht

Abstract read
In one paragraph

Article in Preventive medicine reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Amy E LeaderDivision of Population Science, Department of Medical Oncology, Thomas Jefferson University, United States.
Michelle Miller-DaySchool of Communication, Chapman University, United States.
Rikishi T ReyDepartment of Communication, Clemson University, United States.
Preethi SelvanDivision of Population Science, Department of Medical Oncology, Thomas Jefferson University, United States.
Anne E PezallaREAL Prevention, LLC, United States.
Michael L HechtREAL Prevention, LLC, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rates of human papillomavirus (HPV) infection are highest in young adults, who can be vaccinated against HPV if they were not vaccinated as adolescents. Since young adults increasingly access health information on social media, we tested the impact of a social media campaign with narrative-based health information on intentions related to HPV vaccination. We also aimed to understand which ads resonated most with young adults and led to higher survey completion rates. We created social media posts featuring videos promoting HPV vaccination. We launched a sponsored ad campaign on Facebook to reach young women, ages 18-26, across the country. Participants were randomly assigned one of 6 videos and then completed a brief survey about video engagement and intentions to: talk with a health care professional, talk with friends or family, and vaccinate against HPV. A descriptive correlational design and a test for moderation were used to explore hypothesized relationships. Across all ads, 1332 link clicks led to 991 completed surveys that were reduced to 607 surveys (95 % ages 18-26, 63 % non-Caucasian; 58 % sexually active). Higher video engagement was associated with stronger intentions to talk with a health care professional (

Indexed as

Health communicationHuman papillomavirus (HPV) vaccinationNarrative engagement theorySocial media

Identifiers

PMID36161120
PMCPMC9502044

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.