Cargando…

Characterising smoking cessation smartphone applications in terms of behaviour change techniques, engagement and ease-of-use features

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Ubhi, Harveen Kaur, Michie, Susan, Kotz, Daniel, van Schayck, Onno C. P., Selladurai, Abiram, West, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4987605/
https://www.ncbi.nlm.nih.gov/pubmed/27528530
http://dx.doi.org/10.1007/s13142-015-0352-x
_version_ 1782448327862779904
author Ubhi, Harveen Kaur
Michie, Susan
Kotz, Daniel
van Schayck, Onno C. P.
Selladurai, Abiram
West, Robert
author_facet Ubhi, Harveen Kaur
Michie, Susan
Kotz, Daniel
van Schayck, Onno C. P.
Selladurai, Abiram
West, Robert
author_sort Ubhi, Harveen Kaur
collection PubMed
description 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s13142-015-0352-x) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-4987605
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Springer US
record_format MEDLINE/PubMed
spelling pubmed-49876052016-08-30 Characterising smoking cessation smartphone applications in terms of behaviour change techniques, engagement and ease-of-use features Ubhi, Harveen Kaur Michie, Susan Kotz, Daniel van Schayck, Onno C. P. Selladurai, Abiram West, Robert Transl Behav Med Original Research 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s13142-015-0352-x) contains supplementary material, which is available to authorized users. Springer US 2015-11-23 2016-09 /pmc/articles/PMC4987605/ /pubmed/27528530 http://dx.doi.org/10.1007/s13142-015-0352-x Text en © The Author(s) 2015 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Research
Ubhi, Harveen Kaur
Michie, Susan
Kotz, Daniel
van Schayck, Onno C. P.
Selladurai, Abiram
West, Robert
Characterising smoking cessation smartphone applications in terms of behaviour change techniques, engagement and ease-of-use features
title Characterising smoking cessation smartphone applications in terms of behaviour change techniques, engagement and ease-of-use features
title_full Characterising smoking cessation smartphone applications in terms of behaviour change techniques, engagement and ease-of-use features
title_fullStr Characterising smoking cessation smartphone applications in terms of behaviour change techniques, engagement and ease-of-use features
title_full_unstemmed Characterising smoking cessation smartphone applications in terms of behaviour change techniques, engagement and ease-of-use features
title_short Characterising smoking cessation smartphone applications in terms of behaviour change techniques, engagement and ease-of-use features
title_sort characterising smoking cessation smartphone applications in terms of behaviour change techniques, engagement and ease-of-use features
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4987605/
https://www.ncbi.nlm.nih.gov/pubmed/27528530
http://dx.doi.org/10.1007/s13142-015-0352-x
work_keys_str_mv AT ubhiharveenkaur characterisingsmokingcessationsmartphoneapplicationsintermsofbehaviourchangetechniquesengagementandeaseofusefeatures
AT michiesusan characterisingsmokingcessationsmartphoneapplicationsintermsofbehaviourchangetechniquesengagementandeaseofusefeatures
AT kotzdaniel characterisingsmokingcessationsmartphoneapplicationsintermsofbehaviourchangetechniquesengagementandeaseofusefeatures
AT vanschayckonnocp characterisingsmokingcessationsmartphoneapplicationsintermsofbehaviourchangetechniquesengagementandeaseofusefeatures
AT selladuraiabiram characterisingsmokingcessationsmartphoneapplicationsintermsofbehaviourchangetechniquesengagementandeaseofusefeatures
AT westrobert characterisingsmokingcessationsmartphoneapplicationsintermsofbehaviourchangetechniquesengagementandeaseofusefeatures