Does smoker profile determine adoption of a decision aid to improve evidence-based Cessation support uptake?

Abstract

Background: Using evidence-based smoking cessation support tools can double the chance of successful quitting, but uptake is low (6-13%). An online decision aid can help smokers choose the right tool to aid their cessation efforts, but it is unclear whether smokers are interested in adopting such a support tool. Aim of this study is to identify smoker profiles and to investigate the influence of these profiles on smokers’ intention to use such a decision aid. Methods: Cross-sectional online questionnaire data (based on Self-Determination Theory) from 200 current smokers wanting to quit smoking within six months will be collected. Smoker profiles will be identified using a hierarchical cluster analysis based on general causality orientations, locus of control and decision-making style, and compared on demographics, smoking-related behaviour and cognitions and intention to use the decision aid, using regression analyses. Expected results: We expect to be able to present at least two clusters of smokers, which will significantly differ in their intention to use a decision aid to support evidence-based cessation tool selection. However, as no current similar studies are available, we have not developed specific working hypotheses. Current stage of work: Data will be collected in the first half of 2017. Discussion: The study will result in increased knowledge on different smoker profiles based on cognitive beliefs and decision making characteristics. Findings will be directly applied to inform the content and diffusion of a decision aid to support evidence-based cessation tool selection for current smokers.