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Analysis of Diabetes Apps to Assess Privacy-Related Permissions: Systematic Search of Apps

BACKGROUND: Mobile health has become a major vehicle of support for people living with diabetes. Accordingly, the availability of mobile apps for diabetes has been steadily increasing. Most of the previous reviews of diabetes apps have focused on the apps’ features and their alignment with clinical...

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Autores principales: Flors-Sidro, José Javier, Househ, Mowafa, Abd-Alrazaq, Alaa, Vidal-Alaball, Josep, Fernandez-Luque, Luis, Sanchez-Bocanegra, Carlos Luis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7840294/
https://www.ncbi.nlm.nih.gov/pubmed/33439129
http://dx.doi.org/10.2196/16146
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author Flors-Sidro, José Javier
Househ, Mowafa
Abd-Alrazaq, Alaa
Vidal-Alaball, Josep
Fernandez-Luque, Luis
Sanchez-Bocanegra, Carlos Luis
author_facet Flors-Sidro, José Javier
Househ, Mowafa
Abd-Alrazaq, Alaa
Vidal-Alaball, Josep
Fernandez-Luque, Luis
Sanchez-Bocanegra, Carlos Luis
author_sort Flors-Sidro, José Javier
collection PubMed
description BACKGROUND: Mobile health has become a major vehicle of support for people living with diabetes. Accordingly, the availability of mobile apps for diabetes has been steadily increasing. Most of the previous reviews of diabetes apps have focused on the apps’ features and their alignment with clinical guidelines. However, there is a lack of knowledge on the actual compliance of diabetes apps with privacy and data security guidelines. OBJECTIVE: The aim of this study was to assess the levels of privacy of mobile apps for diabetes to contribute to the raising of awareness of privacy issues for app users, developers, and governmental data protection regulators. METHODS: We developed a semiautomatic app search module capable of retrieving Android apps’ privacy-related information, particularly the dangerous permissions required by apps, with the aim of analyzing privacy aspects related to diabetes apps. Following the research selection criteria, the original 882 apps were narrowed down to 497 apps that were included in the analysis. RESULTS: Approximately 60% of the analyzed diabetes apps requested potentially dangerous permissions, which pose a significant risk to users’ data privacy. In addition, 28.4% (141/497) of the apps did not provide a website for their privacy policy. Moreover, it was found that 40.0% (199/497) of the apps contained advertising, and some apps that claimed not to contain advertisements actually did. Ninety-five percent of the apps were free, and those belonging to the “medical” and “health and fitness” categories were the most popular. However, app users do not always realize that the free apps’ business model is largely based on advertising and, consequently, on sharing or selling their private data, either directly or indirectly, to unknown third parties. CONCLUSIONS: The aforementioned findings confirm the necessity of educating patients and health care providers and raising their awareness regarding the privacy aspects of diabetes apps. Therefore, this research recommends properly and comprehensively training users, ensuring that governments and regulatory bodies enforce strict data protection laws, devising much tougher security policies and protocols in Android and in the Google Play Store, and implicating and supervising all stakeholders in the apps’ development process.
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spelling pubmed-78402942021-01-29 Analysis of Diabetes Apps to Assess Privacy-Related Permissions: Systematic Search of Apps Flors-Sidro, José Javier Househ, Mowafa Abd-Alrazaq, Alaa Vidal-Alaball, Josep Fernandez-Luque, Luis Sanchez-Bocanegra, Carlos Luis JMIR Diabetes Original Paper BACKGROUND: Mobile health has become a major vehicle of support for people living with diabetes. Accordingly, the availability of mobile apps for diabetes has been steadily increasing. Most of the previous reviews of diabetes apps have focused on the apps’ features and their alignment with clinical guidelines. However, there is a lack of knowledge on the actual compliance of diabetes apps with privacy and data security guidelines. OBJECTIVE: The aim of this study was to assess the levels of privacy of mobile apps for diabetes to contribute to the raising of awareness of privacy issues for app users, developers, and governmental data protection regulators. METHODS: We developed a semiautomatic app search module capable of retrieving Android apps’ privacy-related information, particularly the dangerous permissions required by apps, with the aim of analyzing privacy aspects related to diabetes apps. Following the research selection criteria, the original 882 apps were narrowed down to 497 apps that were included in the analysis. RESULTS: Approximately 60% of the analyzed diabetes apps requested potentially dangerous permissions, which pose a significant risk to users’ data privacy. In addition, 28.4% (141/497) of the apps did not provide a website for their privacy policy. Moreover, it was found that 40.0% (199/497) of the apps contained advertising, and some apps that claimed not to contain advertisements actually did. Ninety-five percent of the apps were free, and those belonging to the “medical” and “health and fitness” categories were the most popular. However, app users do not always realize that the free apps’ business model is largely based on advertising and, consequently, on sharing or selling their private data, either directly or indirectly, to unknown third parties. CONCLUSIONS: The aforementioned findings confirm the necessity of educating patients and health care providers and raising their awareness regarding the privacy aspects of diabetes apps. Therefore, this research recommends properly and comprehensively training users, ensuring that governments and regulatory bodies enforce strict data protection laws, devising much tougher security policies and protocols in Android and in the Google Play Store, and implicating and supervising all stakeholders in the apps’ development process. JMIR Publications 2021-01-13 /pmc/articles/PMC7840294/ /pubmed/33439129 http://dx.doi.org/10.2196/16146 Text en ©José Javier Flors-Sidro, Mowafa Househ, Alaa Abd-Alrazaq, Josep Vidal-Alaball, Luis Fernandez-Luque, Carlos Luis Sanchez-Bocanegra. Originally published in JMIR Diabetes (http://diabetes.jmir.org), 13.01.2021. 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 Diabetes, is properly cited. The complete bibliographic information, a link to the original publication on http://diabetes.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Flors-Sidro, José Javier
Househ, Mowafa
Abd-Alrazaq, Alaa
Vidal-Alaball, Josep
Fernandez-Luque, Luis
Sanchez-Bocanegra, Carlos Luis
Analysis of Diabetes Apps to Assess Privacy-Related Permissions: Systematic Search of Apps
title Analysis of Diabetes Apps to Assess Privacy-Related Permissions: Systematic Search of Apps
title_full Analysis of Diabetes Apps to Assess Privacy-Related Permissions: Systematic Search of Apps
title_fullStr Analysis of Diabetes Apps to Assess Privacy-Related Permissions: Systematic Search of Apps
title_full_unstemmed Analysis of Diabetes Apps to Assess Privacy-Related Permissions: Systematic Search of Apps
title_short Analysis of Diabetes Apps to Assess Privacy-Related Permissions: Systematic Search of Apps
title_sort analysis of diabetes apps to assess privacy-related permissions: systematic search of apps
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7840294/
https://www.ncbi.nlm.nih.gov/pubmed/33439129
http://dx.doi.org/10.2196/16146
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