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...
Autores principales: | , , , , , |
---|---|
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 |