Erfannia, Leila and Amraei, Morteza and Arji, Goli and Yazdani, Azita and Yaghoobi, Leila (2022) Reviewing and Content Analysis of Persian Language Mobile Health Apps for COVID-19 Management. Stud Health Technol Inform.
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Abstract
The present study aimed to systematically search in app stores and intended to carry out content analysis of free Persian mobile health apps in the management of COVID-19 and, ultimately determine the relationship between the popularity and quality of these apps. According to a researcher-made checklist including five axes of ease of use, privacy, data sharing, education, and monitoring, four app markets such as Myket, Bazzar, Google Play and App Store were searched from May 2021 up to now. The findings showed that all selected apps performed well in terms of ease of use and privacy but they needed to be improved in terms of education, monitoring, and data sharing. Also, there was no significant relationship between the popularity and quality of these apps. Owing to the high penetration rate of smartphones in Iran and the low popularity of COVID-19 apps, government, developers, and investors are required to improve the quality of apps and their marketing.
| Item Type: | Article |
|---|---|
| Subjects: | R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine R Medicine > RZ Other systems of medicine |
| Divisions: | Faculty of Medicine, Health and Life Sciences > School of Medicine |
| Depositing User: | samira sepahvandy |
| Date Deposited: | 01 Feb 2022 04:35 |
| Last Modified: | 01 Feb 2022 04:35 |
| URI: | http://eprints.lums.ac.ir/id/eprint/3642 |
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