Mobile Health Applications to Support COVID-19 Self-management: Review and Evaluation

Document Type : review

Authors

1 Department of Health Information Technology, Faculty of Para Medicine, Mazandaran University of Medical Sciences

2 Management and Health Information Technology Department, School of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran

3 School of Allied Medical Sciences, Tehran University of Medical Sciences (TUMS)

Abstract

Aim: During the epidemic and with an increase in coronavirus (COVID-19) disease prevalence, emergency care is essential to help people stay informed and undertake self-management measures to protect their health. One of these self-management procedures is the use of mobile apps in health. Mobile health (mHealth) applications include mobile devices in collecting clinical health data, sharing healthcare information for practitioners and patients, real-time monitoring of patient vital signs, and the direct provision of care (via mobile telemedicine). Mobile apps are increasing to improve health, but before healthcare providers can recommend these applications to patients, they need to be sure the apps will help change patients' lifestyles.
Method: A search was conducted systematically using the keywords "Covid-19," "Coronavirus," "Covid-19, and Self-management" at the "Apple App Store". Then we evaluated the apps according to MARS criteria in May 2020.
Results: A total of 145 apps for COVID-19 self-management were identified, but only 32 apps met our inclusion criteria after being assessed. The overall mean MARS score was 2.9 out of 5, and more than half of the apps had a minimum acceptability score (range 2.5-3.9). The "who academy" app received the highest functionality score. Who Academy, Corona-Care and First Responder COVID-19 Guide had the highest scores for behavior change.
Conclusion: Our findings showed that few apps meet the quality, content, and functionality criteria for Covid-19 self-management. Therefore, developers should use evidence-based medical guidelines in creating mobile health applications so that, they can provide comprehensive and complete information to both patients and healthcare provider.

Keywords

References

  1. Ren X, Zhai Y, Song X, Wang Z, Dou D, Li Y. The Application of Mobile Telehealth System to Facilitate Patient Information Presentation and Case Discussion. Telemedicine and e-Health. 2020;26(6):725-33.

    1. Keshvardoost S, Bahaadinbeigy K, Fatehi F. Role of telehealth in the management of COVID-19: lessons learned from previous SARS, MERS, and Ebola outbreaks. Telemedicine and e-Health. 2020:1-3.
    2. Amawi H, Abu Deiab GaI, A Aljabali AA, Dua K, Tambuwala MM. COVID-19 pandemic: an overview of epidemiology, pathogenesis, diagnostics and potential vaccines and therapeutics. Therapeutic delivery. 2020;11(4):245-68.
    3. Robbins T, Hudson S, Ray P, Sankar S, Patel K, Randeva H, et al. COVID-19: A new digital dawn? Digital Health. 2020;6:1-3.
    4. Smith AC, Thomas E, Snoswell CL, Haydon H, Mehrotra A, Clemensen J, et al. Telehealth for global emergencies: Implications for coronavirus disease 2019 (COVID-19). Journal of telemedicine and telecare. 2020:1-5.
    5. Paakkari L, Okan O. COVID-19: health literacy is an underestimated problem. The Lancet Public Health. 2020;5(5):e249-e50.
    6. Fatehi F, Gray LC, Russell AW. Mobile health (MHealth) for diabetes care: opportunities and challenges. Diabetes technology & therapeutics. 2017;19(1):1-3.
    7. Karim H, Choobineh H, Kheradbin N, Ravandi MH, Naserpor A, Safdari R. Mobile health applications for improving the sexual health outcomes among adults with chronic diseases: A systematic review. Digital health. 2020;6:1-15.
    8. Pappot N, Taarnhøj GA, Pappot H. Telemedicine and e-Health Solutions for COVID-19: Patients' Perspective. Telemedicine and e-Health. 2020; 26(7):1-3.
    9. Pan X-B. Application of personal-oriented digital technology in preventing transmission of COVID-19, China. Irish Journal of Medical Science. 2020:1-2.
    10. Kong T, Scott MM, Li Y, Wichelman C. Physician attitudes towards—and adoption of—mobile health. Digital health. 2020;6:1-10.
    11. Choi SK, Yelton B, Ezeanya VK, Kannaley K, Friedman DB. Review of the content and quality of mobile applications about Alzheimer's disease and related dementias. Journal of Applied Gerontology. 2018;39(6):601-8.
    12. Richardson B, Dol J, Rutledge K, Monaghan J, Orovec A, Howie K, et al. Evaluation of mobile apps targeted to parents of infants in the neonatal intensive care unit: systematic app review. JMIR MHealth and uHealth. 2019;7(4):e11620.
    13. Choi YK, Demiris G, Lin S-Y, Iribarren SJ, Landis CA, Thompson HJ, et al. Smartphone applications to support sleep self-management: review and evaluation. Journal of Clinical Sleep Medicine. 2018;14(10):1783-90.
    14. McKay FH, Cheng C, Wright A, Shill J, Stephens H, Uccellini M. Evaluating mobile phone applications for health behaviour change: a systematic review. Journal of telemedicine and telecare. 2018;24(1): 22-30.
    15. Chavez S, Fedele D, Guo Y, Bernier A, Smith M, Warnick J, et al. Mobile apps for the management of diabetes. Diabetes Care. 2017;40(10):e145-e6.
    16. Bardus M, van Beurden SB, Smith JR, Abraham C. A review and content analysis of engagement, functionality, aesthetics, information quality, and change techniques in the most popular commercial apps for weight management. International Journal of Behavioral Nutrition and Physical Activity. 2016;13(1):35.
    17. Salazar A, de Sola H, Failde I, Moral-Munoz JA. Measuring the quality of mobile apps for the management of pain: systematic search and evaluation using the mobile app rating scale. JMIR MHealth and uHealth. 2018;6(10):e10718.
    18. Stoyanov SR, Hides L, Kavanagh DJ, Zelenko O, Tjondronegoro D, Mani M. Mobile app rating scale: a new tool for assessing the quality of health mobile apps. JMIR MHealth and uHealth. 2015;3(1):e27.
    19. Davalbhakta S, Advani S, Kumar S, Agarwal V, Bhoyar S, Fedirko E, et al. A systematic review of smartphone applications available for corona virus disease 2019 (COVID19) and the assessment of their quality using the mobile application rating scale (MARS). Journal of medical systems. 2020;44(9):164.
    20. 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.
    21. Wang CJ, Ng CY, Brook RH. Response to COVID-19 in Taiwan: big data analytics, new technology, and proactive testing. Jama. 2020;323(14):1341-2.
    22. Cho KS, Yoon J. Fever screening and detection of febrile arrivals at an international airport in Korea: association among self-reported fever, infrared thermal camera scanning, and tympanic temperature. Epidemiology and health. 2014;36:1-6.
    23. Sun G, Nakayama Y, Dagdanpurev S, Abe S, Nishimura H, Kirimoto T, et al. Remote sensing of multiple vital signs using a CMOS camera-equipped infrared thermography system and its clinical application in rapidly screening patients with suspected infectious diseases. International Journal of Infectious Diseases. 2017;55:113-7.
    24. Gong M, Liu L, Sun X, Yang Y, Wang S, Zhu H. Cloud-Based System for Effective Surveillance and Control of COVID-19: Useful Experiences From Hubei, China. Journal of Medical Internet Research. 2020;22(4):e18948.
    25. Danquah LO, Hasham N, MacFarlane M, Conteh FE, Momoh F, Tedesco AA, et al. Use of a mobile application for Ebola contact tracing and monitoring in northern Sierra Leone: a proof-of-concept study. BMC infectious diseases. 2019;19(1):810.
    26. Alwashmi MF. The use of digital health in the detection and management of COVID-19. International Journal of Environmental Research and Public Health. 2020;17(8):2906.
    27. Abeler J, Bäcker M, Buermeyer U, Zillessen H. COVID-19 contact tracing and data protection can go together. JMIR MHealth and uHealth. 2020;8(4):e19359.
    28. Fähnrich C, Denecke K, Adeoye O, Benzler J, Claus H, Kirchner G, et al. Surveillance and Outbreak Response Management System (SORMAS) to support the control of the Ebola virus disease outbreak in West Africa. Eurosurveillance. 2015;20(12):21071.
    29. Adeoye OO, Tom-Aba D, Ameh CA, Ojo OE, Ilori EA, Gidado SO, et al. Implementing Surveillance and Outbreak Response Management and Analysis System (SORMAS) for public health in West Africa-lessons learnt and future direction. International Journal of TROPICAL DISEASE & Health. 2017;22(2):1-17.
    30. Yasaka TM, Lehrich BM, Sahyouni R. Peer-to-Peer contact tracing: development of a privacy-preserving smartphone app. JMIR MHealth and uHealth. 2020;8(4):e18936.
    31. Zamberg I, Manzano S, Posfay-Barbe K, Windisch O, Agoritsas T, Schiffer E. A Mobile Health Platform to Disseminate Validated Institutional Measurements During the COVID-19 Outbreak: Utilization-Focused Evaluation Study. JMIR Public Health and Surveillance. 2020;6(2): e18668.
    32. Hernández-García I, Giménez-Júlvez T. Assessment of health information about COVID-19 prevention on the internet: infodemiological study. JMIR public health and surveillance. 2020;6(2): e18717.
    33. Chatzipavlou IA, Christoforidou SA, Vlachopoulou M. A recommended guideline for the development of MHealth Apps. MHealth. 2016;2:21.
    34. Garvin W. The legal perspective of MHealth in the United States. Journal of Mobile Technology in Medicine. 2012;1(4):42-5.
    35. Martínez-Pérez B, De La Torre-Díez I, López-Coronado M. Privacy and security in mobile health apps: a review and recommendations. Journal of medical systems. 2015;39(1):181.
    36. Dehling T, Gao F, Schneider S, Sunyaev A. Exploring the far side of mobile health: information security and privacy of mobile health apps on iOS and Android. JMIR MHealth and uHealth. 2015;3(1):e8.

     

Applied Health Information Technology
Volume 2, Issue 2 - Serial Number 3
December 2021
Pages 44-56

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History

  • Receive Date: 19 July 2021
  • Revise Date: 05 August 2021
  • Accept Date: 28 November 2021

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