1. A Web-Based Intervention to Increase Smokers’ Intentions to Participate in a Cessation Study Offered at the Point of Lung Screening: Factorial Randomized Trial
- Author
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Jordan M Neil, Yuchiao Chang, Brett Goshe, Nancy Rigotti, Irina Gonzalez, Saif Hawari, Lauren Ballini, Jennifer S Haas, Caylin Marotta, Amy Wint, Kim Harris, Sydney Crute, Efren Flores, and Elyse R Park
- Subjects
Medicine - Abstract
BackgroundScreen ASSIST is a cessation trial offered to current smokers at the point of lung cancer screening. Because of the unique position of promoting a prevention behavior (smoking cessation) within the context of a detection behavior (lung cancer screening), this study employed prospect theory to design and formatively evaluate a targeted recruitment video prior to trial launch. ObjectiveThe aim of this study was to identify which message frames were most effective at promoting intent to participate in a smoking cessation study. MethodsParticipants were recruited from a proprietary opt-in online panel company and randomized to a 2 (benefits of quitting vs risks of continuing to smoke at the time of lung screening; BvR) × 2 (gains of participating vs losses of not participating in a cessation study; GvL) message design experiment (N=314). The primary outcome was self-assessed intent to participate in a smoking cessation study. Message effectiveness and lung cancer risk perception measures were also collected. Analysis of variance examined the main effect of the 2 message factors and a least absolute shrinkage and selection operator (LASSO) approach identified predictors of intent to participate in a multivariable model. A mediation analysis was conducted to determine the direct and indirect effects of message factors on intent to participate in a cessation study. ResultsA total of 296 participants completed the intervention. There were no significant differences in intent to participate in a smoking cessation study between message frames (P=.12 and P=.61). In the multivariable model, quit importance (P
- Published
- 2021
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