Iranian Journal of War and Public Health

eISSN (English): 2980-969X
eISSN (Persian): 2008-2630
pISSN (Persian): 2008-2622
JMERC
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Volume 12, Issue 4 (2020)                   Iran J War Public Health 2020, 12(4): 223-233 | Back to browse issues page

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Abdolkarimi S, Mousavi B, A. M. Content Analysis of Health-Based Iranian Systems and Apps on Covid-19. Iran J War Public Health 2020; 12 (4) :223-233
URL: http://ijwph.ir/article-1-927-en.html
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1- Janbazan Medical and Engineering Research Center (JMERC), Tehran, Iran
2- Prevention Department, Janbazan Medical and Engineering Research Center (JMERC), Tehran, Iran , mousavi.b@gmail.com
3- Asre Danesh Afzar Company, Tehran, Iran
* Corresponding Author Address: Janbazan Medical and Engineering Research Center (JMERC), Tehran, Iran Postal Code: 1985946563
Abstract   (2339 Views)
Aims: E-health services play an important role in controlling the epidemic, implementing quarantine and responding to current and future health needs. The aim of the study was to evaluate the quality and content of Persian-centric covid-19 health systems and applications.
Instrument & Methods: In this descriptive study, the feedback and information of Iranian health-oriented applications and systems (screening, prevention and treatment) related to Covid-19 and having direct and indirect interaction with users in December 2020 were examined. Keyword (s): system, site, software, application, app, installation, sars-cov-2, covid-19, coronavirus, covid-19, coronavirus, self-assessment, health, care, consulting, screening, prevention, follow, disease, diagnosis, treatment, emergency, instructions, training, online, online and testing were searched on the sites of Google, Yahoo and Bing and the markets of Bazaar Cafe, Miket, Charkhooneh, Anardoni, Apple App, Sibcheh. Then the software and systems were reviewed and the items related to Covid-19 were evaluated based on the MARS scale.
Findings: Iranian health-oriented apps/systems included 8 applications, 4 systems and 4 mobile application systems. The total number of installed applications in the country was 941173 and "Mask" had the highest installation with 75% (n=700000). The acceptance rate/use of Covid-19 screening-treatment systems and applications was 2.2% of the population with smartphones in the country. Based on the ranking scale of the smartphone application, the highest average was in the dimension of information (3.2) and the lowest was in the individual perception of the quality of the application (2) and interaction (2.3) (total average 2.6). The 4030, Clinic, Mask, and Corona-115 apps scored the most points with 3.6, 3.5, 3.3, and 3.1 out of 5, respectively.
Conclusion: This study suggests that most COVID-related apps meet acceptable criteria for content, or functionality, and poor criteria for quality, esthetic and interesting features.
Keywords:

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