Cargando…

There’s an App for That: Content Analysis of Paid Health and Fitness Apps

BACKGROUND: The introduction of Apple’s iPhone provided a platform for developers to design third-party apps, which greatly expanded the functionality and utility of mobile devices for public health. OBJECTIVE: This study provides an overview of the developers’ written descriptions of health and fit...

Descripción completa

Detalles Bibliográficos
Autores principales: West, Joshua H, Hall, P. Cougar, Hanson, Carl L, Barnes, Michael D, Giraud-Carrier, Christophe, Barrett, James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Gunther Eysenbach 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3799565/
https://www.ncbi.nlm.nih.gov/pubmed/22584372
http://dx.doi.org/10.2196/jmir.1977
_version_ 1782287894086418432
author West, Joshua H
Hall, P. Cougar
Hanson, Carl L
Barnes, Michael D
Giraud-Carrier, Christophe
Barrett, James
author_facet West, Joshua H
Hall, P. Cougar
Hanson, Carl L
Barnes, Michael D
Giraud-Carrier, Christophe
Barrett, James
author_sort West, Joshua H
collection PubMed
description BACKGROUND: The introduction of Apple’s iPhone provided a platform for developers to design third-party apps, which greatly expanded the functionality and utility of mobile devices for public health. OBJECTIVE: This study provides an overview of the developers’ written descriptions of health and fitness apps and appraises each app’s potential for influencing behavior change. METHODS: Data for this study came from a content analysis of health and fitness app descriptions available on iTunes during February 2011. The Health Education Curriculum Analysis Tool (HECAT) and the Precede-Proceed Model (PPM) were used as frameworks to guide the coding of 3336 paid apps. RESULTS: Compared to apps with a cost less than US $0.99, apps exceeding US $0.99 were more likely to be scored as intending to promote health or prevent disease (92.55%, 1925/3336 vs 83.59%, 1411/3336; P<.001), to be credible or trustworthy (91.11%, 1895/3336 vs 86.14%, 1454/3349; P<.001), and more likely to be used personally or recommended to a health care client (72.93%, 1517/2644 vs 66.77%, 1127/2644; P<.001). Apps related to healthy eating, physical activity, and personal health and wellness were more common than apps for substance abuse, mental and emotional health, violence prevention and safety, and sexual and reproductive health. Reinforcing apps were less common than predisposing and enabling apps. Only 1.86% (62/3336) of apps included all 3 factors (ie, predisposing, enabling, and reinforcing). CONCLUSIONS: Development efforts could target public health behaviors for which few apps currently exist. Furthermore, practitioners should be cautious when promoting the use of apps as it appears most provide health-related information (predisposing) or make attempts at enabling behavior, with almost none including all theoretical factors recommended for behavior change.
format Online
Article
Text
id pubmed-3799565
institution National Center for Biotechnology Information
language English
publishDate 2012
publisher Gunther Eysenbach
record_format MEDLINE/PubMed
spelling pubmed-37995652013-10-22 There’s an App for That: Content Analysis of Paid Health and Fitness Apps West, Joshua H Hall, P. Cougar Hanson, Carl L Barnes, Michael D Giraud-Carrier, Christophe Barrett, James J Med Internet Res Original Paper BACKGROUND: The introduction of Apple’s iPhone provided a platform for developers to design third-party apps, which greatly expanded the functionality and utility of mobile devices for public health. OBJECTIVE: This study provides an overview of the developers’ written descriptions of health and fitness apps and appraises each app’s potential for influencing behavior change. METHODS: Data for this study came from a content analysis of health and fitness app descriptions available on iTunes during February 2011. The Health Education Curriculum Analysis Tool (HECAT) and the Precede-Proceed Model (PPM) were used as frameworks to guide the coding of 3336 paid apps. RESULTS: Compared to apps with a cost less than US $0.99, apps exceeding US $0.99 were more likely to be scored as intending to promote health or prevent disease (92.55%, 1925/3336 vs 83.59%, 1411/3336; P<.001), to be credible or trustworthy (91.11%, 1895/3336 vs 86.14%, 1454/3349; P<.001), and more likely to be used personally or recommended to a health care client (72.93%, 1517/2644 vs 66.77%, 1127/2644; P<.001). Apps related to healthy eating, physical activity, and personal health and wellness were more common than apps for substance abuse, mental and emotional health, violence prevention and safety, and sexual and reproductive health. Reinforcing apps were less common than predisposing and enabling apps. Only 1.86% (62/3336) of apps included all 3 factors (ie, predisposing, enabling, and reinforcing). CONCLUSIONS: Development efforts could target public health behaviors for which few apps currently exist. Furthermore, practitioners should be cautious when promoting the use of apps as it appears most provide health-related information (predisposing) or make attempts at enabling behavior, with almost none including all theoretical factors recommended for behavior change. Gunther Eysenbach 2012-05-14 /pmc/articles/PMC3799565/ /pubmed/22584372 http://dx.doi.org/10.2196/jmir.1977 Text en ©Joshua H. West, P. Cougar Hall, Carl L. Hanson, Michael D. Barnes, Christophe Giraud-Carrier, James Barrett. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 14.05.2012. http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
West, Joshua H
Hall, P. Cougar
Hanson, Carl L
Barnes, Michael D
Giraud-Carrier, Christophe
Barrett, James
There’s an App for That: Content Analysis of Paid Health and Fitness Apps
title There’s an App for That: Content Analysis of Paid Health and Fitness Apps
title_full There’s an App for That: Content Analysis of Paid Health and Fitness Apps
title_fullStr There’s an App for That: Content Analysis of Paid Health and Fitness Apps
title_full_unstemmed There’s an App for That: Content Analysis of Paid Health and Fitness Apps
title_short There’s an App for That: Content Analysis of Paid Health and Fitness Apps
title_sort there’s an app for that: content analysis of paid health and fitness apps
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3799565/
https://www.ncbi.nlm.nih.gov/pubmed/22584372
http://dx.doi.org/10.2196/jmir.1977
work_keys_str_mv AT westjoshuah theresanappforthatcontentanalysisofpaidhealthandfitnessapps
AT hallpcougar theresanappforthatcontentanalysisofpaidhealthandfitnessapps
AT hansoncarll theresanappforthatcontentanalysisofpaidhealthandfitnessapps
AT barnesmichaeld theresanappforthatcontentanalysisofpaidhealthandfitnessapps
AT giraudcarrierchristophe theresanappforthatcontentanalysisofpaidhealthandfitnessapps
AT barrettjames theresanappforthatcontentanalysisofpaidhealthandfitnessapps