Quality of Physical Activity Apps: Systematic Search in App Stores and Content Analysis.

exercise mHealth mobile apps quality indicators sports systematic review

Journal

JMIR mHealth and uHealth
ISSN: 2291-5222
Titre abrégé: JMIR Mhealth Uhealth
Pays: Canada
ID NLM: 101624439

Informations de publication

Date de publication:
09 06 2021
Historique:
received: 17 07 2020
accepted: 05 01 2021
revised: 30 11 2020
entrez: 9 6 2021
pubmed: 10 6 2021
medline: 8 7 2021
Statut: epublish

Résumé

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. 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. 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. 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. 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.

Sections du résumé

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.

Identifiants

pubmed: 34106073
pii: v9i6e22587
doi: 10.2196/22587
pmc: PMC8262667
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e22587

Informations de copyright

©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.

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Auteurs

Sarah Paganini (S)

Department of Sport Psychology, Institute of Sports and Sport Science, Albert-Ludwigs-University Freiburg, Freiburg, Germany.

Yannik Terhorst (Y)

Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, Ulm University, Ulm, Germany.

Lasse Bosse Sander (LB)

Department of Rehabilitation Psychology and Psychotherapy, Institute of Psychology, Albert-Ludwigs-University Freiburg, Freiburg, Germany.

Selma Catic (S)

Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, Ulm University, Ulm, Germany.

Sümeyye Balci (S)

Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, Ulm University, Ulm, Germany.

Ann-Marie Küchler (AM)

Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, Ulm University, Ulm, Germany.

Dana Schultchen (D)

Department of Clinical and Health Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany.

Katrin Plaumann (K)

Institute of Media Informatics, Ulm University, Ulm, Germany.

Sarah Sturmbauer (S)

Chair of Health Psychology, Department of Psychology, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.

Lena Violetta Krämer (LV)

Department of Rehabilitation Psychology and Psychotherapy, Institute of Psychology, Albert-Ludwigs-University Freiburg, Freiburg, Germany.

Jiaxi Lin (J)

Department of Psychiatry and Psychotherapy Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany.

Ramona Wurst (R)

Department of Sport Psychology, Institute of Sports and Sport Science, Albert-Ludwigs-University Freiburg, Freiburg, Germany.

Rüdiger Pryss (R)

Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany.

Harald Baumeister (H)

Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, Ulm University, Ulm, Germany.

Eva-Maria Messner (EM)

Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, Ulm University, Ulm, Germany.

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