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Do physical activity and dietary smartphone applications incorporate evidence-based behaviour change techniques?
BACKGROUND: There has been a recent proliferation in the development of smartphone applications (apps) aimed at modifying various health behaviours. While interventions that incorporate behaviour change techniques (BCTs) have been associated with greater effectiveness, it is not clear to what extent...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4080693/ https://www.ncbi.nlm.nih.gov/pubmed/24965805 http://dx.doi.org/10.1186/1471-2458-14-646 |
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author | Direito, Artur Pfaeffli Dale, Leila Shields, Emma Dobson, Rosie Whittaker, Robyn Maddison, Ralph |
author_facet | Direito, Artur Pfaeffli Dale, Leila Shields, Emma Dobson, Rosie Whittaker, Robyn Maddison, Ralph |
author_sort | Direito, Artur |
collection | PubMed |
description | BACKGROUND: There has been a recent proliferation in the development of smartphone applications (apps) aimed at modifying various health behaviours. While interventions that incorporate behaviour change techniques (BCTs) have been associated with greater effectiveness, it is not clear to what extent smartphone apps incorporate such techniques. The purpose of this study was to investigate the presence of BCTs in physical activity and dietary apps and determine how reliably the taxonomy checklist can be used to identify BCTs in smartphone apps. METHODS: The top-20 paid and top-20 free physical activity and/or dietary behaviour apps from the New Zealand Apple App Store Health & Fitness category were downloaded to an iPhone. Four independent raters user-tested and coded each app for the presence/absence of BCTs using the taxonomy of behaviour change techniques (26 BCTs in total). The number of BCTs included in the 40 apps was calculated. Krippendorff’s alpha was used to evaluate interrater reliability for each of the 26 BCTs. RESULTS: Apps included an average of 8.1 (range 2-18) techniques, the number being slightly higher for paid (M = 9.7, range 2-18) than free apps (M = 6.6, range 3-14). The most frequently included BCTs were “provide instruction” (83% of the apps), “set graded tasks” (70%), and “prompt self-monitoring” (60%). Techniques such as “teach to use prompts/cues”, “agree on behavioural contract”, “relapse prevention” and “time management” were not present in the apps reviewed. Interrater reliability coefficients ranged from 0.1 to 0.9 (Mean 0.6, SD = 0.2). CONCLUSIONS: Presence of BCTs varied by app type and price; however, BCTs associated with increased intervention effectiveness were in general more common in paid apps. The taxonomy checklist can be used by independent raters to reliably identify BCTs in physical activity and dietary behaviour smartphone apps. |
format | Online Article Text |
id | pubmed-4080693 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-40806932014-07-03 Do physical activity and dietary smartphone applications incorporate evidence-based behaviour change techniques? Direito, Artur Pfaeffli Dale, Leila Shields, Emma Dobson, Rosie Whittaker, Robyn Maddison, Ralph BMC Public Health Research Article BACKGROUND: There has been a recent proliferation in the development of smartphone applications (apps) aimed at modifying various health behaviours. While interventions that incorporate behaviour change techniques (BCTs) have been associated with greater effectiveness, it is not clear to what extent smartphone apps incorporate such techniques. The purpose of this study was to investigate the presence of BCTs in physical activity and dietary apps and determine how reliably the taxonomy checklist can be used to identify BCTs in smartphone apps. METHODS: The top-20 paid and top-20 free physical activity and/or dietary behaviour apps from the New Zealand Apple App Store Health & Fitness category were downloaded to an iPhone. Four independent raters user-tested and coded each app for the presence/absence of BCTs using the taxonomy of behaviour change techniques (26 BCTs in total). The number of BCTs included in the 40 apps was calculated. Krippendorff’s alpha was used to evaluate interrater reliability for each of the 26 BCTs. RESULTS: Apps included an average of 8.1 (range 2-18) techniques, the number being slightly higher for paid (M = 9.7, range 2-18) than free apps (M = 6.6, range 3-14). The most frequently included BCTs were “provide instruction” (83% of the apps), “set graded tasks” (70%), and “prompt self-monitoring” (60%). Techniques such as “teach to use prompts/cues”, “agree on behavioural contract”, “relapse prevention” and “time management” were not present in the apps reviewed. Interrater reliability coefficients ranged from 0.1 to 0.9 (Mean 0.6, SD = 0.2). CONCLUSIONS: Presence of BCTs varied by app type and price; however, BCTs associated with increased intervention effectiveness were in general more common in paid apps. The taxonomy checklist can be used by independent raters to reliably identify BCTs in physical activity and dietary behaviour smartphone apps. BioMed Central 2014-06-25 /pmc/articles/PMC4080693/ /pubmed/24965805 http://dx.doi.org/10.1186/1471-2458-14-646 Text en Copyright © 2014 Direito et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Direito, Artur Pfaeffli Dale, Leila Shields, Emma Dobson, Rosie Whittaker, Robyn Maddison, Ralph Do physical activity and dietary smartphone applications incorporate evidence-based behaviour change techniques? |
title | Do physical activity and dietary smartphone applications incorporate evidence-based behaviour change techniques? |
title_full | Do physical activity and dietary smartphone applications incorporate evidence-based behaviour change techniques? |
title_fullStr | Do physical activity and dietary smartphone applications incorporate evidence-based behaviour change techniques? |
title_full_unstemmed | Do physical activity and dietary smartphone applications incorporate evidence-based behaviour change techniques? |
title_short | Do physical activity and dietary smartphone applications incorporate evidence-based behaviour change techniques? |
title_sort | do physical activity and dietary smartphone applications incorporate evidence-based behaviour change techniques? |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4080693/ https://www.ncbi.nlm.nih.gov/pubmed/24965805 http://dx.doi.org/10.1186/1471-2458-14-646 |
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