Literature DB >> 22121243

Perceived effectiveness of stop smoking interventions: impact of presenting evidence using numbers, visual displays, and different timeframes.

Florian Vogt1, Theresa M Marteau.   

Abstract

INTRODUCTION: This study investigates the impact of visual and numerical representations of effectiveness and different lengths of follow-up upon the perceived effectiveness of stop smoking interventions.
METHODS: This study entails two between-subjects experiments with smokers from the general population. In Experiment 1, U.K. smokers (n = 318) viewed information about a stop smoking intervention that included (a) no effectiveness information, (b) standard numerical effectiveness information, or (c) numerical and visual absolute effectiveness information. In Experiment 2, U.K. smokers (n = 320) viewed numerical and visual absolute effectiveness information about a stop smoking intervention showing either the short-term (1-month) or the long-term (12-month) quit rate with and without intervention. Outcome measures included perceived effectiveness of stop smoking interventions and intentions to use them.
RESULTS: In Experiment 1, numerical and visual absolute effectiveness information compared with no effectiveness information resulted in greater perceived effectiveness (Scheffé test, p = .033, Cohen's d = 0.36) and intentions to use stop smoking interventions (Scheffé test, p = .012, d = 0.43). No differences were detected between standard numerical effectiveness information and no effectiveness information. In Experiment 2, the short-term quit rate compared with long-term quit rate resulted in greater perceived effectiveness, t(318) = 3.2, p = .002, d = 0.35, but not significantly greater intentions to use stop smoking interventions, t(318) = 1.59, p = .11, d = 0.18.
CONCLUSIONS: Presenting numerical and visual absolute effectiveness information about the short-term effectiveness of stop smoking interventions may increase the use of stop smoking interventions.

Mesh:

Year:  2011        PMID: 22121243     DOI: 10.1093/ntr/ntr197

Source DB:  PubMed          Journal:  Nicotine Tob Res        ISSN: 1462-2203            Impact factor:   4.244


  3 in total

1.  Smokers' Treatment Expectancies Predict Smoking Cessation Success.

Authors:  Lisa M Fucito; Benjamin A Toll; Corey R Roos; Andrea C King
Journal:  J Smok Cessat       Date:  2014-08-27

2.  Visual analogies, not graphs, increase patients' comprehension of changes in their health status.

Authors:  Meghan Reading Turchioe; Lisa V Grossman; Annie C Myers; Dawon Baik; Parag Goyal; Ruth M Masterson Creber
Journal:  J Am Med Inform Assoc       Date:  2020-05-01       Impact factor: 4.497

3.  Text-Based vs. Graphical Information Formats in Sepsis Prevention and Early Detection: A Randomized Controlled Trial on Informed Choice.

Authors:  Luka Johanna Debbeler; Anne Pohrt; Carolin Fleischmann-Struzek; Daniel Schwarzkopf; Sebastian Born; Konrad Reinhart; Odette Wegwarth
Journal:  J Clin Med       Date:  2022-06-24       Impact factor: 4.964

  3 in total

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