Florian Vogt1, Theresa M Marteau. 1. Clinical Practice and Medication Use, Institute of Pharmaceutical Science, King's College London, Franklin-Wilkins Building, 150 Stamford Street, London SE1 9NH, UK. florian.vogt@kcl.ac.uk
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.
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.
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
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