Iranian Journal of War and Public Health

eISSN (English): 2980-969X
eISSN (Persian): 2008-2630
pISSN (Persian): 2008-2622
JMERC
0.4
Volume 12, Issue 4 (2020)                   Iran J War Public Health 2020, 12(4): 223-233 | Back to browse issues page

Print XML PDF HTML


History

How to cite this article
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
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Rights and permissions
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   (2574 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:

References
1. Zhao S, Musa SS, Lin Q, Ran J, Yang G, Wang W, et al. Estimating the unreported number of novel Coronavirus (2019-ncov) cases in China in the first half of January 2020: A data-driven modelling analysis of the early outbreak. J Clin Med. 2020;9(2):388. [DOI:10.3390/jcm9020388]
2. Wang M, Zhou Y, Zong Z, Liang Z, Cao Y, Tang H, et al. A precision medicine approach to managing 2019 novel Coronavirus pneumonia. Precis Clin Med. 2020;3(1):14-21. [DOI:10.1093/pcmedi/pbaa002]
3. Cui J, Li F, Shi ZL. Origin and evolution of pathogenic Coronaviruses. Nat Rev Microbiol. 2019;17(3):181-92. [DOI:10.1038/s41579-018-0118-9]
4. Danesh F, GhaviDel S. Coronavirus: Scientometrics of 50 years of global scientific productions. Iran J Med Microbiol. 2020;14(1):1-16. [Persian] [DOI:10.30699/ijmm.14.1.1]
5. Nishiura H, Kobayashi T, Yang Y, Hayashi K, Miyama T, Kinoshita R, et al. The rate of underascertainment of novel Coronavirus (2019-nCoV) infection: Estimation using Japanese passengers data on evacuation flights. J Clin Med. 2020;9(2):419. [DOI:10.3390/jcm9020419]
6. Bonilla-Aldana DK, Quintero-Rada K, Montoya-PosadaJP, Ramirez S, Paniz-Mondolfi A, Rabaan A, et al. SARS-CoV, MERS-CoV and now the 2019-novel CoV: Have we investigated enough about coronaviruses? a bibliometric analysis. Travel Med Infect Dis. 2020;33:101566. [DOI:10.1016/j.tmaid.2020.101566]
7. Worldometers [Internet]. Publisher City Unknown: Worldometers; 2020 [Cited 2020 November 18]. Available from: https://www.worldometers.info/coronavirus/.
8. Liu J, Liao X, Qian S, Yuan J, Wang F, Liu Y, et al. Community transmission of severe acute respiratory syndrome Coronavirus 2, Shenzhen, China, 2020. Emerg Infect Dis. 2020;26(6):1320-3. [DOI:10.3201/eid2606.200239]
9. Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel Coronavirus in Wuhan, China. Lancet. 2020;395:497-506. [DOI:10.1016/S0140-6736(20)30183-5]
10. Fagherazzi G, Goetzinger C, Rashid MA, Aguayo GA, Huiart L. Digital health strategies to fight COVID-19 worldwide: Challenges, recommendations, and a call for papers. J Med Internet Res. 2020;22(6):1-10. [DOI:10.2196/19284]
11. Jalabneh R, Syed HZ, Pillai S, Apu EH, Hussein MR, Kabir R, et al. Use of mobile phone apps for contact tracing to control the COVID-19 pandemic: A literature review. SSRN Electron J. 2020;1-22. [DOI:10.2139/ssrn.3641961]
12. Hosseini SM, Afkhami H. Content analysis of Iranian mobile healthcare applications for elderly. J New Media Stud. 2019;5(17):107-36. [Persian]
13. Chan AKM, Nickson CP, Rudolph JW, Lee A, Joynt GM. Social media for rapid knowledge dissemination: early experience from the COVID‐19 pandemic. Anaesthesia. 2020;75(12):1579-82. [DOI:10.1111/anae.15057]
14. Parker MJ, Fraser C, Abeler-Dorner L, Bonsall D. Ethics of instantaneous contact tracing using mobile phone apps in the control of the COVID-19 pandemic. J Med Ethics. 2020;46(7):427-31. [DOI:10.1136/medethics-2020-106314]
15. Levine DM, Co Z, Newmark LP, Groisser AR, Jay Holmgren A, Haas JS, et al. Bates. design and testing of a mobile health application rating tool. NPJ Digit Med. 2020;3:74. [DOI:10.1038/s41746-020-0268-9]
16. Whitehead L, Seaton P. The effectiveness of self-management mobile phone and tablet apps in long-term condition management: A systematic review. J Med Internet Res. 2016;18(5):97. [DOI:10.2196/jmir.4883]
17. Wicks P, Chiauzzi E. Trust but verify-five approaches to ensure safe medical apps. BMC Med. 2015;13:205. [DOI:10.1186/s12916-015-0451-z]
18. Salehinejad S, Niakan Kalhori SR, Hajesmaeel Gohari S, Bahaadinbeigy K, Fatehi F. A review and content analysis of national apps for COVID 19 management using mobile application rating scale MARS. Inform Health Soc Care. 2021;46(1):42-55. [DOI:10.1080/17538157.2020.1837838]
19. Davoudi Kongsofla M, Najafi Ghezeljeh T, Saeidi A, Peyravi H, Kiaroosta N. Design and evaluation of a smartphone-based application to manage the treatment of people with heart failur. Iran J War Public Health. 2019;11(44):125-31. [Persian] [DOI:10.29252/ijwph.11.3.125]
20. Anderson RM, Heesterbeek H, Klinkenberg D, Hollingsworth TD. How will country-based mitigation measures influence the course of the COVID-19 epidemic?. Lancet. 2020;395(10228):931-4. [DOI:10.1016/S0140-6736(20)30567-5]
21. World health organization. Responding to community spread of COVID-19: Interim guidance, 7 March 2020 [Internet]. Geneva: World Health Organization; 2020 [Cited 2020 October 18]. Available from: https://apps.who.int/iris/handle/10665/331421.
22. Abeler J, Backer M, Buermeyer U, Zillessen H. COVID-19 contact tracing and data protection can go together. JMIR Mhealth Uhealth. 2020;8(4):19359. [DOI:10.2196/19359]
23. Bankmycell [Internet]. New York: Bankmycell; 2020 [Cited 2020 October 18]. Available from: https://www.bankmycell.com/blog/how-many-phones-are-in-the-world.
24. Canada.ca [Internet]. Publisher City Unknown: Canada.ca; 2020 [Cited 2020 October 18]. Available from: https://www.canada.ca/en/public-health/services/diseases/coronavirus-disease-covid-19/covid-alert.html.
25. Zhou X, Snoswell CL, Harding LE, Bambling M, Edirippulige S, Bai X, et al. The role of telehealth in reducing the mental health burden from COVID-19. Telemed Health. 2020;26(4):377-9. [DOI:10.1089/tmj.2020.0068]
26. Mozur P, Zhong R, Krolik A. In coronavirus fight, China gives citizens a color code, with red flags [Internet]. New York: The New York Times; 2020 [Cited 2020 October 18]. Available from: https://www.nytimes.com/2020/03/01/business/china-coronavirus-surveillance.html
27. Bashir Dar A, Hamid Lone A, Zahoor S, Amin Khan A, Naaz R. Applicability of mobile contact tracing in fighting pandemic (COVID-19): Issues, challenges and solutions. Comput Sci Rev. 2020;38:100307. [DOI:10.1016/j.cosrev.2020.100307]
28. Collado-Borrell R, Escudero-Vilaplana V, Villanueva-Bueno C, Herranz-Alonso A, Sanjurjo-Saez M. Features and functionalities of smartphone apps related to COVID-19: Systematic search in app stores and content analysis. J Med Internet Res. 2020;22(8):20334. [DOI:10.2196/20334]
29. Lopez Segui F, Franch Parella J, Girones Garcia X, Mendioroz Pena J, Garcia Cuyas F, Adroher Mas C, et al. A cost-minimization analysis of a medical record-based, store and forward and provider-to-provider telemedicine compared to usual care in Catalonia: More agile and efficient, especially for users. Int J Environ Res Public Health. 2020;17(6):2008. [DOI:10.3390/ijerph17062008]
30. Oliver N, Lepri B, Sterly H, Lambiotte R, Deletaille S, De Nadai M, et al. Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle. Sci Adv. 2020;6(23):1-6. [DOI:10.1126/sciadv.abc0764]
31. Mahmood S, Hasan K, Colder Carras M, Labrique A. Global preparedness against COVID-19: We must leverage the power of digital health. JMIR Public Health Surveill. 2020;6(2):18980. [DOI:10.2196/18980]
32. Nguyen A, Mosadeghi S, Almario CV. Persistent digital divide in access to and use of the internet as a resource for health information: Results from a California population-based study. Int J Med Inform. 2017;103:49-54. [DOI:10.1016/j.ijmedinf.2017.04.008]
33. Banskota S, Healy M, Goldberg EM. 15 smartphone apps for older adults to use while in isolation during the COVID-19 pandemic. West J Emerg Med. 2020;21(3):514-25. [DOI:10.5811/westjem.2020.4.47372]
34. Pennycook G, Mcphetres J, Zhang Y, Lu JG, Rand DG. Fighting COVID-19 misinformation on social media: Experimental evidence for a scalable accuracy nudge intervention. Psychol Sci. 2020;31(7):770-80. [DOI:10.1177/0956797620939054]
35. Ni MY, Yang L, Leung CMC, Li N, Yao XI, Wang Y, et al. Risk factors, and social media use during the covid-19 epidemic and cordon sanitaire among the community and health professionals in Wuhan, China: Cross-sectional survey. JMIR Ment Health. 2020;7(5):19009. [DOI:10.2196/19009]
36. Liu S, Yang L, Zhang C, Xiang YT, Liu Z, Hu S, et al. Online mental health services in China during the COVID-19 outbreak. Lancet Psychiatry. 2020;7(4):17-8. [DOI:10.1016/S2215-0366(20)30077-8]
37. Torous J, Myrick JK, Rauseo-Ricupero N, Firth J. Digital mental health and COVID-19: Using technology today to accelerate the curve on access and quality tomorrow. JMIR Ment Health. 2020;7(3):18848. [DOI:10.2196/18848]
38. Inkster B, Obrien R, Selby E, Joshi S, Subramanian V, Kadaba M, et al. Digital health management during and beyond the COVID-19 pandemic: Opportunities, barriers, and recommendations. JMIR Ment Health. 2020;7(7):19246. [DOI:10.2196/19246]
39. Shu M, Li J. Health digital technology in COVID-19 pandemic: Experience from China. BMJ Innov. 2020;6(4):259-61. [DOI:10.1136/bmjinnov-2020-000477]

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author