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.
journal_name
Transl Behav Medjournal_title
Translational behavioral medicineauthors
Ubhi HK,Michie S,Kotz D,van Schayck OC,Selladurai A,West Rdoi
10.1007/s13142-015-0352-xsubject
Has Abstractpub_date
2016-09-01 00:00:00pages
410-7issue
3eissn
1869-6716issn
1613-9860pii
10.1007/s13142-015-0352-xjournal_volume
6pub_type
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