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An Evaluation of Mobile Health Application Tools

BACKGROUND: The rapid growth in the number of mobile health applications could have profound significance in the prevention of disease or in the treatment of patients with chronic disease such as diabetes. OBJECTIVE: The objective of this study was to describe the characteristics of the most common...

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Autores principales: Sama, Preethi R, Eapen, Zubin J, Weinfurt, Kevin P, Shah, Bimal R, Schulman, Kevin A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications Inc. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4114419/
https://www.ncbi.nlm.nih.gov/pubmed/25099179
http://dx.doi.org/10.2196/mhealth.3088
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author Sama, Preethi R
Eapen, Zubin J
Weinfurt, Kevin P
Shah, Bimal R
Schulman, Kevin A
author_facet Sama, Preethi R
Eapen, Zubin J
Weinfurt, Kevin P
Shah, Bimal R
Schulman, Kevin A
author_sort Sama, Preethi R
collection PubMed
description BACKGROUND: The rapid growth in the number of mobile health applications could have profound significance in the prevention of disease or in the treatment of patients with chronic disease such as diabetes. OBJECTIVE: The objective of this study was to describe the characteristics of the most common mobile health care applications available in the Apple iTunes marketplace. METHODS: We undertook a descriptive analysis of a sample of applications in the “health and wellness” category of the Apple iTunes Store. We characterized each application in terms of its health factor and primary method of user engagement. The main outcome measures of the analysis were price, health factors, and methods of user engagement. RESULTS: Among the 400 applications that met the inclusion criteria, the mean price of the most frequently downloaded paid applications was US $2.24 (SD $1.30), and the mean price of the most currently available paid applications was US $2.27 (SD $1.60). Fitness/training applications were the most popular (43.5%, 174/400). The next two most common categories were health resource (15.0%, 60/400) and diet/caloric intake (14.3%, 57/400). Applications in the health resource category constituted 5.5% (22/400) of the applications reviewed. Self-monitoring was the most common primary user engagement method (74.8%, 299/400). A total of 20.8% (83/400) of the applications used two or more user engagement approaches, with self-monitoring and progress tracking being the most frequent. CONCLUSIONS: Most of the popular mobile health applications focus on fitness and self-monitoring. The approaches to user engagement utilized by these applications are limited and present an opportunity to improve the effectiveness of the technology.
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spelling pubmed-41144192014-08-04 An Evaluation of Mobile Health Application Tools Sama, Preethi R Eapen, Zubin J Weinfurt, Kevin P Shah, Bimal R Schulman, Kevin A JMIR Mhealth Uhealth Short Paper BACKGROUND: The rapid growth in the number of mobile health applications could have profound significance in the prevention of disease or in the treatment of patients with chronic disease such as diabetes. OBJECTIVE: The objective of this study was to describe the characteristics of the most common mobile health care applications available in the Apple iTunes marketplace. METHODS: We undertook a descriptive analysis of a sample of applications in the “health and wellness” category of the Apple iTunes Store. We characterized each application in terms of its health factor and primary method of user engagement. The main outcome measures of the analysis were price, health factors, and methods of user engagement. RESULTS: Among the 400 applications that met the inclusion criteria, the mean price of the most frequently downloaded paid applications was US $2.24 (SD $1.30), and the mean price of the most currently available paid applications was US $2.27 (SD $1.60). Fitness/training applications were the most popular (43.5%, 174/400). The next two most common categories were health resource (15.0%, 60/400) and diet/caloric intake (14.3%, 57/400). Applications in the health resource category constituted 5.5% (22/400) of the applications reviewed. Self-monitoring was the most common primary user engagement method (74.8%, 299/400). A total of 20.8% (83/400) of the applications used two or more user engagement approaches, with self-monitoring and progress tracking being the most frequent. CONCLUSIONS: Most of the popular mobile health applications focus on fitness and self-monitoring. The approaches to user engagement utilized by these applications are limited and present an opportunity to improve the effectiveness of the technology. JMIR Publications Inc. 2014-05-01 /pmc/articles/PMC4114419/ /pubmed/25099179 http://dx.doi.org/10.2196/mhealth.3088 Text en ©Preethi R Sama, Zubin J Eapen, Kevin P Weinfurt, Bimal R Shah, Kevin A Schulman. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 01.05.2014. 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 JMIR mhealth and uhealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Short Paper
Sama, Preethi R
Eapen, Zubin J
Weinfurt, Kevin P
Shah, Bimal R
Schulman, Kevin A
An Evaluation of Mobile Health Application Tools
title An Evaluation of Mobile Health Application Tools
title_full An Evaluation of Mobile Health Application Tools
title_fullStr An Evaluation of Mobile Health Application Tools
title_full_unstemmed An Evaluation of Mobile Health Application Tools
title_short An Evaluation of Mobile Health Application Tools
title_sort evaluation of mobile health application tools
topic Short Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4114419/
https://www.ncbi.nlm.nih.gov/pubmed/25099179
http://dx.doi.org/10.2196/mhealth.3088
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