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Quality of Physical Activity Apps: Systematic Search in App Stores and Content Analysis
BACKGROUND: Physical inactivity is a major contributor to the development and persistence of chronic diseases. Mobile health apps that foster physical activity have the potential to assist in behavior change. However, the quality of the mobile health apps available in app stores is hard to assess fo...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8262667/ https://www.ncbi.nlm.nih.gov/pubmed/34106073 http://dx.doi.org/10.2196/22587 |
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author | Paganini, Sarah Terhorst, Yannik Sander, Lasse Bosse Catic, Selma Balci, Sümeyye Küchler, Ann-Marie Schultchen, Dana Plaumann, Katrin Sturmbauer, Sarah Krämer, Lena Violetta Lin, Jiaxi Wurst, Ramona Pryss, Rüdiger Baumeister, Harald Messner, Eva-Maria |
author_facet | Paganini, Sarah Terhorst, Yannik Sander, Lasse Bosse Catic, Selma Balci, Sümeyye Küchler, Ann-Marie Schultchen, Dana Plaumann, Katrin Sturmbauer, Sarah Krämer, Lena Violetta Lin, Jiaxi Wurst, Ramona Pryss, Rüdiger Baumeister, Harald Messner, Eva-Maria |
author_sort | Paganini, Sarah |
collection | PubMed |
description | BACKGROUND: Physical inactivity is a major contributor to the development and persistence of chronic diseases. Mobile health apps that foster physical activity have the potential to assist in behavior change. However, the quality of the mobile health apps available in app stores is hard to assess for making informed decisions by end users and health care providers. OBJECTIVE: This study aimed at systematically reviewing and analyzing the content and quality of physical activity apps available in the 2 major app stores (Google Play and App Store) by using the German version of the Mobile App Rating Scale (MARS-G). Moreover, the privacy and security measures were assessed. METHODS: A web crawler was used to systematically search for apps promoting physical activity in the Google Play store and App Store. Two independent raters used the MARS-G to assess app quality. Further, app characteristics, content and functions, and privacy and security measures were assessed. The correlation between user star ratings and MARS was calculated. Exploratory regression analysis was conducted to determine relevant predictors for the overall quality of physical activity apps. RESULTS: Of the 2231 identified apps, 312 met the inclusion criteria. The results indicated that the overall quality was moderate (mean 3.60 [SD 0.59], range 1-4.75). The scores of the subscales, that is, information (mean 3.24 [SD 0.56], range 1.17-4.4), engagement (mean 3.19 [SD 0.82], range 1.2-5), aesthetics (mean 3.65 [SD 0.79], range 1-5), and functionality (mean 4.35 [SD 0.58], range 1.88-5) were obtained. An efficacy study could not be identified for any of the included apps. The features of data security and privacy were mainly not applied. Average user ratings showed significant small correlations with the MARS ratings (r=0.22, 95% CI 0.08-0.35; P<.001). The amount of content and number of functions were predictive of the overall quality of these physical activity apps, whereas app store and price were not. CONCLUSIONS: Apps for physical activity showed a broad range of quality ratings, with moderate overall quality ratings. Given the present privacy, security, and evidence concerns inherent to most rated apps, their medical use is questionable. There is a need for open-source databases of expert quality ratings to foster informed health care decisions by users and health care providers. |
format | Online Article Text |
id | pubmed-8262667 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-82626672021-07-27 Quality of Physical Activity Apps: Systematic Search in App Stores and Content Analysis Paganini, Sarah Terhorst, Yannik Sander, Lasse Bosse Catic, Selma Balci, Sümeyye Küchler, Ann-Marie Schultchen, Dana Plaumann, Katrin Sturmbauer, Sarah Krämer, Lena Violetta Lin, Jiaxi Wurst, Ramona Pryss, Rüdiger Baumeister, Harald Messner, Eva-Maria JMIR Mhealth Uhealth Original Paper BACKGROUND: Physical inactivity is a major contributor to the development and persistence of chronic diseases. Mobile health apps that foster physical activity have the potential to assist in behavior change. However, the quality of the mobile health apps available in app stores is hard to assess for making informed decisions by end users and health care providers. OBJECTIVE: This study aimed at systematically reviewing and analyzing the content and quality of physical activity apps available in the 2 major app stores (Google Play and App Store) by using the German version of the Mobile App Rating Scale (MARS-G). Moreover, the privacy and security measures were assessed. METHODS: A web crawler was used to systematically search for apps promoting physical activity in the Google Play store and App Store. Two independent raters used the MARS-G to assess app quality. Further, app characteristics, content and functions, and privacy and security measures were assessed. The correlation between user star ratings and MARS was calculated. Exploratory regression analysis was conducted to determine relevant predictors for the overall quality of physical activity apps. RESULTS: Of the 2231 identified apps, 312 met the inclusion criteria. The results indicated that the overall quality was moderate (mean 3.60 [SD 0.59], range 1-4.75). The scores of the subscales, that is, information (mean 3.24 [SD 0.56], range 1.17-4.4), engagement (mean 3.19 [SD 0.82], range 1.2-5), aesthetics (mean 3.65 [SD 0.79], range 1-5), and functionality (mean 4.35 [SD 0.58], range 1.88-5) were obtained. An efficacy study could not be identified for any of the included apps. The features of data security and privacy were mainly not applied. Average user ratings showed significant small correlations with the MARS ratings (r=0.22, 95% CI 0.08-0.35; P<.001). The amount of content and number of functions were predictive of the overall quality of these physical activity apps, whereas app store and price were not. CONCLUSIONS: Apps for physical activity showed a broad range of quality ratings, with moderate overall quality ratings. Given the present privacy, security, and evidence concerns inherent to most rated apps, their medical use is questionable. There is a need for open-source databases of expert quality ratings to foster informed health care decisions by users and health care providers. JMIR Publications 2021-06-09 /pmc/articles/PMC8262667/ /pubmed/34106073 http://dx.doi.org/10.2196/22587 Text en ©Sarah Paganini, Yannik Terhorst, Lasse Bosse Sander, Selma Catic, Sümeyye Balci, Ann-Marie Küchler, Dana Schultchen, Katrin Plaumann, Sarah Sturmbauer, Lena Violetta Krämer, Jiaxi Lin, Ramona Wurst, Rüdiger Pryss, Harald Baumeister, Eva-Maria Messner. Originally published in JMIR mHealth and uHealth (https://mhealth.jmir.org), 09.06.2021. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), 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 https://mhealth.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Paganini, Sarah Terhorst, Yannik Sander, Lasse Bosse Catic, Selma Balci, Sümeyye Küchler, Ann-Marie Schultchen, Dana Plaumann, Katrin Sturmbauer, Sarah Krämer, Lena Violetta Lin, Jiaxi Wurst, Ramona Pryss, Rüdiger Baumeister, Harald Messner, Eva-Maria Quality of Physical Activity Apps: Systematic Search in App Stores and Content Analysis |
title | Quality of Physical Activity Apps: Systematic Search in App Stores and Content Analysis |
title_full | Quality of Physical Activity Apps: Systematic Search in App Stores and Content Analysis |
title_fullStr | Quality of Physical Activity Apps: Systematic Search in App Stores and Content Analysis |
title_full_unstemmed | Quality of Physical Activity Apps: Systematic Search in App Stores and Content Analysis |
title_short | Quality of Physical Activity Apps: Systematic Search in App Stores and Content Analysis |
title_sort | quality of physical activity apps: systematic search in app stores and content analysis |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8262667/ https://www.ncbi.nlm.nih.gov/pubmed/34106073 http://dx.doi.org/10.2196/22587 |
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