Evidence map›Paper›PMID 40166492›Full record

ArticleTobacco prevention & cessation2025

Developing a media literacy-based e-cigarette education program via medical record systems.

Hongying Daisy Dai, Ellen Kerns, Hana Niebur, Ashley Deschamp, Rachel Johnson, Kaeli Samson, James Buckley, Summer Woolsey

Abstract read
In one paragraph

Article in Tobacco prevention & cessation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Hongying Daisy DaiCollege of Public Health, University of Nebraska Medical Center, Omaha, United States.
Ellen KernsDepartment of Pediatrics, University of Nebraska Medical Center, Omaha, United States.
Hana NieburDepartment of Pediatrics, University of Nebraska Medical Center, Omaha, United States.
Ashley DeschampDepartment of Pediatrics, University of Nebraska Medical Center, Omaha, United States.
Rachel JohnsonDepartment of Pediatrics, University of Nebraska Medical Center, Omaha, United States.
Kaeli SamsonCollege of Public Health, University of Nebraska Medical Center, Omaha, United States.
James BuckleyCollege of Public Health, University of Nebraska Medical Center, Omaha, United States.
Summer WoolseyCollege of Public Health, University of Nebraska Medical Center, Omaha, United States.

Funding

Parents helping Parents for Youth Vaping Cessation (PhP-VX)R34CA287719 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI Hongying Daisy Dai, Jonathan P Winickoff · 2024 to 2026
$716k
Racial disparities in biomarkers, tobacco cessation, and smoking relapse in association with electronic cigarette useR21DA054818 · NIDA · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI DAI, HONGYING DAISY · 2021 to 2022
$435k
NCI NIH HHS R34 CA287719NIDA NIH HHS R21 DA054818
6 · The paper itself

Abstract

introductionThis is a prospective, interventional pilot study that seeks to evaluate the impact of MediaSense, a media-literacy-based vaping prevention program, in adolescents including an oversample of those with asthma.

methodsDuring July and December 2022, participants in Nebraska were recruited via electronic health record (EHR)-based messaging, and MediaSense was self-administrated by interactive e-learning with REDCap surveys before and after the intervention. Regression analysis evaluated changes in vaping media literacy, vaping expectancy, and harm perception pre- and post-intervention. Factor analysis was conducted on 22 items on usability, to determine which latent factors were most related to interactive e-learning modules.

resultsAdolescents aged 12-17 years participated in the MediaSense intervention (n=67; 59.7% with asthma). The pre- and post-intervention surveys showed a 148% increase in vaping media literacy (ranging 0-6; 2.9 vs 4.5, p<0.0001). Vaping expectancy (ranging1-5) decreased from 3.6 to 1.2 (p<0.0001), and the perception of vaping as harmful rose from 40.3% to 86.0% (p<0.0001). Participants rated the intervention highly on usability, technical assistance, design, content clarity, navigation, flow, multimedia, interactivity, and learning outcomes. Two distinct factors were identified in the factor analysis: motivating and engaging content (Factor 1) and user-friendly module design (Factor 2). Participants with higher usability ratings of the e-modules (Factor 1: B=0.6; 95% CI: 0.3-0.9, p=0.0004; Factor 2: B=0.7; 95% CI: 0.4-1.0, p=0.0001), and those with asthma (vs no asthma: B=0.5; 95% CI: 0.1-0.9, p=0.01) had significantly higher vaping refusal and media literacy.

conclusionsThe MediaSense program demonstrated acceptability and feasibility in recruiting and preventing adolescent vaping through EHR and digital interventions. Media literacy helps adolescents to critically evaluate vaping-related marketing messages, resist persuasive marketing, and make informed decisions.

Indexed as

adolescentanti-marketing educatione-cigaretteelectronic health recordinteractive e-learningmedia literacy

Identifiers

PMID40166492
PMCPMC11956842

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.