The role of mobile health technologies in promoting COVID-19 prevention: A narrative review of intervention effectiveness and adoption

Author:

Katusiime Jane12ORCID,Tumuhimbise Wilson2ORCID,Rwambuka Mugyenyi Godfrey3,Kobutungi Phionah2,Mugaba Aaron2,Zender Raphael1,Pinkwart Niels1,Musiimenta Angella2ORCID

Affiliation:

1. Department of Computer Science, Humboldt Universität zu Berlin, Berlin, Germany

2. Faculty of Computing and Informatics, Mbarara University of Science and Technology, Mbarara, Uganda

3. Faculty of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda

Abstract

Background Researchers have found innovative ways of using mobile health (mHealth) technologies to prevent the spread of coronavirus disease 2019 (COVID-19). However, fewer studies have been done to determine their adoption and effectiveness. Objective This review summarises the published evidence on the effect of mHealth technologies on the adoption of COVID-19 preventive measures, prevention knowledge acquisition and risk perception as well as technology adoption features for COVID-19 prevention. Methods PubMed, IEEE and Google Scholar databases were searched for peer-reviewed literature from 1 January 2020 to 31 March 2022 for studies that evaluated the effect of mHealth technologies on COVID-19 preventive measures adoption, prevention knowledge acquisition and risk perception. Thirteen studies met the inclusion criteria and were included in this review. All the included studies were checked for quality using the mHealth evidence reporting and assessment (mERA) checklist. Results The review found out that the utilisation of mHealth interventions such as alert text messages, tracing apps and social media platforms was associated with adherence behaviour such as wearing masks, washing hands and using sanitisers, maintaining social distance and avoiding crowded places. The use of contact tracing was linked to low-risk perception as users considered themselves well informed about their status and less likely to pose transmission risks compared to non-users. Privacy and security issues, message personalisation and frequency, technical issues and trust concerns were identified as technology adoption features that influence the use of mHealth technologies for promoting COVID-19 prevention. Conclusion Utilisation of mHealth may be a feasible and effective way to prevent the spread of COVID-19. However, the small study samples and short study periods prevent generalisation of the findings and calls for larger, longitudinal studies that encompass diverse study settings.

Funder

The German Federal Ministry of Education and Research

Publisher

SAGE Publications

Subject

Health Information Management,Computer Science Applications,Health Informatics,Health Policy

Reference56 articles.

1. World Health Organization. WHO Director-General’s opening remarks at the media briefing on COVID-19 – 11 March 2020 – World Health Organization. World Health Organization. 2020.

2. World Health Organization. COVID-19: Variants [Internet], https://www.who.int/westernpacific/emergencies/covid-19/information/covid-19-variants (2022, accessed 14 March 2022).

3. World Health Organization. Global situation [Internet]. WHO Corona Virus (COVID-19) Dashboard, https://covid19.who.int/ (2022, accessed 14 March 2022).

4. World Health Organization. COVID-19 cases top 10 000 in Africa [Internet], https://www.afro.who.int/news/covid-19-cases-top-10-000-africa (2020, accessed 23 August 2021).

5. World Health Organization. Media briefings on COVID-19 [Internet], https://www.afro.who.int/health-topics/coronavirus-covid-19 (2022, accessed 14 March 2022).

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