year 16, Issue 1 (January - February 2022)                   Iran J Med Microbiol 2022, 16(1): 49-55 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Saeidnia H R, Karajizadeh M, Mohammadzadeh Z, Abdoli S, Hassanzadeh M. Usability Evaluation of the Mask Mobile Application: The Official Application of the Iranian Government. Iran J Med Microbiol 2022; 16 (1) :49-55
1- Department of Knowledge and Information Science Tarbiat Modares University, (TMU) Tehran, Iran
2- Department of Health Information Management, Health Human Resources Research Center, School of Management & Medical Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
3- Health Information Technology, Kashan University of Medical Sciences and Health Services, Kashan, Iran
4- Information Science Department, Allameh Tabataba'i Univesity, Tehran, Iran
5- Department of Knowledge and Information Science, Tarbiat Modares University (TMU), Tehran, Iran ,
Abstract:   (4852 Views)

Background and Objective: Health Information Technology helps individuals prevent COVID-19. Many information technology applications have been developed to prevent Coronavirus infection globally; however, the quality level of these applications is uncertain. This study aims to evaluate the usability of the Mask mobile application, which is designed to fight COVID-19.
Materials and Methods: The Mask mobile application is evaluated in two phases in this study. In the first phase, five experts performed the evaluation by Jacob Nielsen's 10 general principles, and in the second phase, 124 participants evaluated the Mask mobile application. Data collection tools were the System Usability Scale (SUS) questionnaire.
Results: Mask mobile application was poor in experts evaluating it in terms of error prevention, flexibility, and efficiency. In the user-based test method, the user score of this application was 89 out of 100, which was equal to an excellent ranking and grade A.
Conclusion: The results have indicated that the usability of the Mask mobile application to prevent COVID-19 has been excellent. As a result of the study, mobile application developers might improve or modify their existing mobile health application designs to achieve optimal outcomes.

Full-Text [PDF 508 kb]   (967 Downloads) |   |   Full-Text (HTML)  (1445 Views)  
Type of Study: Original Research Article | Subject: Computer Vision
Received: 2021/07/26 | Accepted: 2021/12/5 | ePublished: 2022/01/20

1. Paterlini M. On the front lines of coronavirus: the Italian response to covid-19. Bmj. 2020;368. [DOI:10.1136/bmj.m1065] [PMID]
2. WHO. WHO Coronavirus (COVID-19) Dashboard: WHO; 2021 [Available from:]
3. Ting DSW, Carin L, Dzau V, Wong TY. Digital technology and COVID-19. Nature medicine. 2020;26(4):459-61. [DOI:10.1038/s41591-020-0824-5] [PMID] [PMCID]
4. Abbas R, Michael K. COVID-19 contact trace app deployments: learnings from Australia and Singapore. IEEE Consum Electron Mag. 2020;9(5):65-70. [DOI:10.1109/MCE.2020.3002490]
5. Islam MN, Islam I, Munim KM, Islam AN. A review on the mobile applications developed for COVID-19: an exploratory analysis. IEEE Access. 2020;8:145601-10. [DOI:10.1109/ACCESS.2020.3015102] [PMID] [PMCID]
6. Zens M, Brammertz A, Herpich J, Südkamp N, Hinterseer M. App-based tracking of self-reported COVID-19 symptoms: analysis of questionnaire data. J Med Internet Res. 2020;22(9):e21956. [DOI:10.2196/21956] [PMID] [PMCID]
7. Gómez-Ramírez O, Medeiros P, Wainer R, Iyamu I. 13 Does the 'Canada COVID-19 alert'app stand up to critical scrutiny? A rapid qualitative assessment. British Medical Journal Publishing Group; 2021. [DOI:10.1136/bmjopen-2021-QHRN.13]
8. Abbas HSM, Xu X, Sun C. Role of COVIDsafe app and control measures in Australia in combating COVID-19 pandemic. Transform Gov: People Process Policy. 2021. [DOI:10.1108/TG-01-2021-0004]
9. Mask. Mask app iran2021 [cited 2021 March 10, 2021]. Available from:
10. J G. Regulating electronic means to fight the spread of COVID‐19: Libr Congr; 2020 [Available from:]
11. Rizzo E. COVID-19 contact tracing apps: the 'elderly paradox'. Public Health. 2020;185:127. [DOI:10.1016/j.puhe.2020.06.045] [PMID] [PMCID]
12. Saeidnia HR, Mohammadzadeh Z, Hassanzadeh M. Evaluation of Mobile Phone Healthcare Applications During the Covid-19 Pandemic. Studies in Health Technology and Informatics. 2021;281:1100-1. [DOI:10.3233/SHTI210363] [PMID]
13. Walls DM, editor User experience in social justice contexts. Proceedings of the 34th ACM International Conference on the Design of Communication; 2016. [DOI:10.1145/2987592.2987604]
14. Zahra F, Hussain A, Mohd H, editors. Usability evaluation of mobile applications; where do we stand? AIP Conference Proceedings; 2017: AIP Publishing LLC. [DOI:10.1063/1.5005389]
15. Schnall R, Cho H, Liu J. Health Information Technology Usability Evaluation Scale (Health-ITUES) for usability assessment of mobile health technology: validation study. JMIR mHealth and uHealth. 2018;6(1). [DOI:10.2196/mhealth.8851] [PMID] [PMCID]
16. Scherr TF, DeSousa JM, Moore CP, Hardcastle A, Wright DW. App Use and Usability of a Barcode-Based Digital Platform to Augment COVID-19 Contact Tracing: Postpilot Survey and Paradata Analysis. JMIR Public Health and Surveillance. 2021;7(3):e25859. [DOI:10.2196/25859] [PMID] [PMCID]
17. Bente BE, Roderick van't JWJ, Schreijer MA, Berkemeier L, van Gend JE, Slijkhuis PJH, et al. The Dutch COVID-19 Contact Tracing App (the CoronaMelder): Usability Study. JMIR formative research. 2021;5(3):e27882. [DOI:10.2196/27882] [PMID] [PMCID]
18. Brown J, Nam Kim H, editors. Usability evaluation of Alzheimer's mHealth applications for caregivers. Proceedings of the Human Factors and Ergonomics Society Annual Meeting; 2018: SAGE Publications Sage CA: Los Angeles, CA. [DOI:10.1177/1541931218621115]
19. Balasubramoniam V, Tungatkar N. Study of user experience (UX) and UX evaluation methods. Int J Adv Res Comput Sci Eng Inf technol. 2013;2(3):1214-9.
20. Barnum C. The state of UX research. J Usability Stud. 2019;15(1):1-7.
21. Lewis JR. The system usability scale: past, present, and future. Int J Hum Comput Stud. 2018;34(7):577-90. [DOI:10.1080/10447318.2018.1455307]
22. Paterno F, Santoro C. Preventing user errors by systematic analysis of deviations from the system task model. Int J Hum Comput Stud. 2002;56(2):225-45. [DOI:10.1006/ijhc.2001.0523]
23. Gregoriades A, Sutcliffe A, Shin JE. Assessing the reliability of socio‐technical systems. Systems engineering. 2003;6(3):210-23. [DOI:10.1002/sys.10044]
24. Tiffany B, Blasi P, Catz SL, McClure JB. Mobile apps for oral health promotion: content review and heuristic usability analysis. JMIR mHealth and uHealth. 2018;6(9):e11432. [DOI:10.2196/11432] [PMID] [PMCID]
25. Hutton L, Price BA, Kelly R, McCormick C, Bandara AK, Hatzakis T, et al. Assessing the privacy of mhealth apps for self-tracking: heuristic evaluation approach. JMIR mHealth and uHealth. 2018;6(10):e185. [DOI:10.2196/mhealth.9217] [PMID] [PMCID]
26. Kondylakis H, Katehakis DG, Kouroubali A, Logothetidis F, Triantafyllidis A, Kalamaras I, et al. COVID-19 Mobile Apps: A Systematic Review of the Literature. J Med Internet Res. 2020;22(12):e23170. [DOI:10.2196/23170] [PMID] [PMCID]
27. Saeidnia H, Mohammadzadeh Z, Saeidnia M, Mahmoodzadeh A, Ghorbani N, Hasanzadeh M. Identifying Requirements of a Self-care System on smartphones for preventing coronavirus disease 2019 (COVID-19). Iran J Med MIcrobiol. 2020;14(3):241-6. [DOI:10.30699/ijmm.14.3.241]
28. Gonçalves-Bradley DC, Maria ARJ, Ricci-Cabello I, Villanueva G, Fønhus MS, Glenton C, et al. Mobile technologies to support healthcare provider to healthcare provider communication and management of care. Cochrane Database of Systematic Reviews. 2020(8). [DOI:10.1002/14651858.CD012927.pub2] [PMID] [PMCID]
29. Saeidnia HR, Ghorbi A, Kozak M, Herteliu C. Smartphone-Based Healthcare Apps for Older Adults in the COVID-19 Era: Heuristic Evaluation. Stud Health Technol Inform. 2022; 289:128-131. [DOI:10.3233/SHTI210875] [PMID]
30. Karajizadeh M, Zand F, Vazin A, Sharifian R, Bayati N. Usability of Venous Thromboembolism Prophylaxis Recommender System: A Pilot Study. Stud Health Technol Inform. 2022. ;289:220-223. [DOI:10.3233/SHTI210899] [PMID]

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

Send email to the article author

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Iranian Journal of Medical Microbiology

Designed & Developed by : Yektaweb | Publisher: Farname Inc