Published in:
Open Access
01-09-2016 | Original Research
Characterising smoking cessation smartphone applications in terms of behaviour change techniques, engagement and ease-of-use features
Authors:
Harveen Kaur Ubhi, M.Sc., Susan Michie, D.Phil., Daniel Kotz, Ph.D., Onno C. P. van Schayck, Ph.D., Abiram Selladurai, B.Sc., Robert West, Ph.D.
Published in:
Translational Behavioral Medicine
|
Issue 3/2016
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Abstract
The aim of this study was to assess whether or not behaviour change techniques (BCTs) as well as engagement and ease-of-use features used in smartphone applications (apps) to aid smoking cessation can be identified reliably. Apps were coded for presence of potentially effective BCTs, and engagement and ease-of-use features. Inter-rater reliability for this coding was assessed. Inter-rater agreement for identifying presence of potentially effective BCTs ranged from 66.8 to 95.1 % with ‘prevalence and bias adjusted kappas’ (PABAK) ranging from 0.35 to 0.90 (p < 0.001). The intra-class correlation coefficients between the two coders for scores denoting the proportions of (a) a set of engagement features and (b) a set of ease-of-use features, which were included, were 0.77 and 0.75, respectively (p < 0.001). Prevalence estimates for BCTs ranged from <10 % for medication advice to >50 % for rewarding abstinence. The average proportions of specified engagement and ease-of-use features included in the apps were 69 and 83 %, respectively. The study found that it is possible to identify potentially effective BCTs, and engagement and ease-of-use features in smoking cessation apps with fair to high inter-rater reliability.