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Grant Details

Grant Number: 5R01CA253013-05 Interpret this number
Primary Investigator: Evans, W
Organization: George Washington University
Project Title: Digital Media for Cancer Control: Randomized Controlled Trial and Dose Response Effects
Fiscal Year: 2024


Abstract

Project Description Tobacco remains the single leading preventable cause of death in the US and annual tobacco-related health care costs are estimated at $170 billion. In 2016, 20% of high school students (3.05 million youth) reported recent use of tobacco products and estimated 5.6 million youth under the age of 18 will die early due to smoking-related illness demonstrating a need for prevention interventions. According to the CDC, some 13.1% of adults aged 18-24 were smokers, and over 5 million of these young adults will die early due to smoking-related illness. Moreover, the significant declines in youth cigarette smoking may be eclipsed by other tobacco products and use of JUUL, a highly-effective nicotine delivery product. Given their widespread use, there is a need to leverage digital media to influence health outcomes and public education campaigns are increasingly using them. Recent studies show that social media can be effective in countering tobacco industry product promotion online and as a tobacco control campaign platform. However, there is little published data on exposure to and evaluations of large-scale, online tobacco control campaigns. The proposed R01 project addresses this gap and builds on over 16 years of collaboration among the research team in evaluating the national Truth campaign. This application is significant for several reasons. First, tobacco use prevention and other health behavior change campaigns are increasingly delivered through digital channels, yet few studies have focused on rigorous measurement of digital message exposure and response. Exposure measures are a critical component since analyses either compare those exposed to the unexposed, or examine a dose-response curve among varying levels of campaign exposure. This research will use pixel tracking (HTML codes embedded in digital ads) to measure campaign dose-response effects. While the predictive value of self-report and exogenous mass media measures of exposure (e.g., GRPs) has been well studied, there is little evidence on the effects of digital exposure. Finally, little is known about the independent effects of varying levels of digital message exposure to promote anti-tobacco attitudes, beliefs, or behaviors among youth and young adults. In aim 1, we will conduct a 6-month controlled, online, randomized study to compare the effects of varying levels of digital media exposure, measured by pixel tracking, on campaign-targeted tobacco-related knowledge, attitudes, beliefs and behavioral outcomes. In aim 2, we will conduct a field-based randomized trial to evaluate a truth digital campaign to confirm the relationship between digital media exposure, message awareness, and tobacco-related outcomes over 36 months. The result of these studies will be benchmark methods and measures of digital ad exposure that have wide application to future digital health campaigns.



Publications

Effects of a Social Media Intervention on Vaping Intentions: Randomized Dose-Response Experiment.
Authors: Evans W.D. , Bingenheimer J. , Cantrell J. , Kreslake J. , Tulsiani S. , Ichimiya M. , D'Esterre A.P. , Gerard R. , Martin M. , Hair E.C. .
Source: Journal Of Medical Internet Research, 2024-03-12 00:00:00.0; 26, p. e50741.
EPub date: 2024-03-12 00:00:00.0.
PMID: 38470468
Related Citations

Assessing the Feasibility of Studying Awareness of a Digital Health Campaign on Facebook: Pilot Study Comparing Young Adult Subsamples.
Authors: Tulsiani S. , Ichimiya M. , Gerard R. , Mills S. , Bingenheimer J.B. , Hair E.C. , Vallone D. , Evans W.D. .
Source: Jmir Formative Research, 2022-08-29 00:00:00.0; 6(8), p. e37856.
EPub date: 2022-08-29 00:00:00.0.
PMID: 36036974
Related Citations

The Measurement of Dose and Response for Smoking Behavior Change Interventions in the Digital Age: Systematic Review.
Authors: Ichimiya M. , Gerard R. , Mills S. , Brodsky A. , Cantrell J. , Evans W.D. .
Source: Journal Of Medical Internet Research, 2022-08-25 00:00:00.0; 24(8), p. e38470.
EPub date: 2022-08-25 00:00:00.0.
PMID: 36006682
Related Citations




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