PurposeTobacco prevention media campaigns are an important tool to address youth tobacco use. We developed a theory-based perceived message effectiveness (PME) Scale to use when vetting messages for campaigns.MethodsParticipants were a national sample of N=623 US adolescents (ages 13–17 years) recruited from a national probability-based panel. In an online experiment, we randomised adolescents to view tobacco prevention ads. All participants viewed an ad on smoking or vaping from the US Food and Drug Administration’s The Real Cost campaign and a control video, in a random order. After ad exposure, we assessed PME using nine candidate items and constructs for convergent and criterion validity analyses. We used confirmatory factor analysis and examined information curves to select the scale items.ResultsA brief PME scale with three items (α=0.95) worked equally well for demographically diverse adolescents with different patterns of tobacco use. The Real Cost ads generated higher PME scores than the control videos for both vaping and smoking (convergent validity; p<0.05). Higher PME scores were associated with greater attention, fear, cognitive elaboration and anticipated social interactions (convergent validity; r=0.31–0.66), as well as more negative attitudes toward and lower susceptibility to vaping and smoking (criterion validity; r=−0.14 to −0.37). A single-item PME measure performed similarly to the three-item version.ConclusionsThe University of North Carolina PME Scale for Youth is a reliable and valid measure of the potential effectiveness of vaping and smoking prevention ads. Employing PME scales during message development and selection may help youth tobacco prevention campaigns deploy more effective ads.

No abstract

Introduction Perceived message effectiveness (PME) is a common metric to understand receptivity to tobacco prevention messages, yet most measures have been developed with adults. We examined adolescents’ interpretation of language within candidate items for a new youth-targeted PME measure using cognitive interviewing. We sought to understand the meaning adolescents’ assigned to our candidate PME items to improve item wording. Methods Participants were 20 adolescents ages 13-17 from the United States. Cognitive interviews used a structured guide to elicit feedback on comprehension, answer retrieval, and language regarding a set of Reasoned Action Approach-based survey items that assessed the PME of smoking and vaping prevention ads. We employed thematic analysis to synthesize findings from the interviews. Results Interviews identified three main issues related to survey items: ambiguity of language, word choice (risk and other terminology), and survey item phrasing. Adolescents preferred direct, definitive language over more ambiguous phrasing which they saw as less serious (e.g., “will” instead of “could”). For risk terminology, they preferred terms such as “harmful” and “dangerous” over “risky,” which was viewed as easy to discount. The term “negative effects” was interpreted as encompassing a broader set of tobacco harms than “health effects.” Adolescents said that the term “vape” was preferable to “e-cigarette,” and identified ways to simplify item wording for greater clarity. Conclusions Tobacco risk terms that appear similar differ in meaning to adolescents, and more direct and unambiguous language is preferred. Our findings informed changes to the PME scale items to improve clarity and reduce measurement error. Implications This study adds to the literature on how adolescents interpret tobacco prevention language. Adolescents may interpret terminology differently than adults, which could lead to ambiguity in meaning and thus measurement error. Through cognitive interviewing, we identified and improved the language in a youth-focused perceived message effectiveness (PME) measure for tobacco and vaping prevention.

Employing qualitative structured interviews with mobile health app users, this research describes shared mental models for mHealth and reveals their complexity. The findings uncover prototypical design components common to mental models beyond health apps and suggest that users’ mental models are multimodal, containing distinct and often contradictory dimensions for evaluations of aesthetics and for craftsmanship. The findings also indicate that users’ mental models are informed by experiences with apps from across the mobile landscape. This research suggests that designers of consumer mobile health apps and mobile health interventions should incorporate prototypical or salient features. In doing so, they should index designs to trends across the larger app landscape and innovate the means to balance between multidimensional and conflicting mental models.

No abstract