Research Article

Applications of Digital Mobile Technologies in Response to the COVID-19 Pandemic: Some Evidence from Frontline Healthcare Workers in Three Tertiary Hospitals in Ghana

Yiqun Geng 1 , John Demuyakor 1 *
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1 Institute of Communication Studies, Communication University of China, Beijing, CHINA* Corresponding Author
Online Journal of Communication and Media Technologies, 12(4), October 2022, e202226, https://doi.org/10.30935/ojcmt/12249
Published: 25 July 2022
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ABSTRACT

The World Health Organization (WHO) declared the COVID-19 pandemic a public health disaster of global concern on the 30th January 2020. With the highly infectious COVID-19 virus inevitably spreading across nations and causing significant health and economic impacts, leveraging Digital Mobile Technologies (DMTs) by frontline healthcare practitioners has been touted as a lifeline. Since January 2020, various frontline health workers, health experts, and health institutions across the globe have progressively embraced the use of numerous DMTs as an essential means of restraining the highly infectious disease spread. DMTs such as smart mobile phones and other digital mobile technologies are the reliable means of sharing pertinent health information, awareness, and surveillance as well as facilitating access to crucial healthcare services, especially in designated COVID-19 health facilities. Therefore, this study employed, an online survey using an exploratory-based research design to investigate how the COVID-19 pandemic has revolutionized the usage of DMTs among (n=1,126) frontline healthcare practitioners in three leading tertiary hospitals in Ghana. We adopted technology acceptance model (TAM) to study the adoption and utilization of DMTs and their limitations by frontline healthcare workers in COVID-19 management. We found that 75.1% (n=846 out of 1,126) of frontline healthcare workers, comprising nurses, medical doctors, physician assistants, and COVID-19 contact tracers were aware of DMTs, adopted and used DMTs in response to the COVID-19 pandemic and its management. However, 93.0% (n=784 out of 846) of those who were aware of the DMTs employed them in their daily operations beyond the fight against the COVID-19 pandemic. Our analyses also indicate that increased usage of these DMTs has significantly enhanced public healthcare campaigns and education on the COVID-19 pandemic in Ghana. These mobile applications have also improved and boosted healthcare communications among practitioners on measures against the COVID-19 pandemic. In terms of originality, this study expands our understanding of digital technology in response to the COVID-19 Pandemic in less studied regions such as Africa, West Africa, and Ghana to be specific. Secondly, the study contributes to filling a gap in our understanding of how theories such as TAM function in crisis communication management. Finally, the study recommends health authorities and governments in developing countries incorporate DMTs in their current health care systems, especially in public health emergencies like COVID-19 preparedness.

CITATION (APA)

Geng, Y., & Demuyakor, J. (2022). Applications of Digital Mobile Technologies in Response to the COVID-19 Pandemic: Some Evidence from Frontline Healthcare Workers in Three Tertiary Hospitals in Ghana. Online Journal of Communication and Media Technologies, 12(4), e202226. https://doi.org/10.30935/ojcmt/12249

REFERENCES

  1. Alwashmi, M. F. (2020). The use of digital health in the detection and management of COVID-19. International Journal of Environmental Research and Public Health, 17(8), 2906. https://doi.org/10.3390/ijerph17082906
  2. Bettinger, K. (2020, April). Emerging technologies under COVID-19 and the need for governance. World Economic Forum. https://www.weforum.org/agenda/2020/04/covid-19-emerging-technologies-are-now-critical-infrastructure-what-that-means-for-governance/
  3. Budd, J., Miller, B. S., Manning, E. M., Lampos, V., Zhuang, M., Edelstein, M., Rees, G., Emery, V. C., Stevens, M. M., Keegan, N., Short, M. J., Pillay, D., Manley, E., Cox, I. J., Heymann, D., Johnson, A. M., & McKendry, R. A. (2020). Digital technologies in the public-health response to COVID-19. Nature Medicine, 26(8), 1183-1192. https://doi.org/10.1038/s41591-020-1011-4
  4. CDC. (2020, February). Coronavirus disease 2019 (COVID-19). Centre for Disease Control and Prevention. https://www.cdc.gov/coronavirus/2019-ncov/hcp/telehealth.html
  5. Chua, A. Q., Tan, M. M. J., Verma, M., Han, E. K. L., Hsu, L. Y., Cook, A. R., Teo, Y. Y., Lee, V. J., & Legido-Quigley, H. (2020). Health system resilience in managing the COVID-19 pandemic: Lessons from Singapore. BMJ Global Health, 5(9), e003317. https://doi.org/10.1136/bmjgh-2020-003317
  6. Clipper, B. (2020). The influence of the COVID-19 pandemic on technology. Nurse Leader, 18(5), 500-503. https://doi.org/10.1016/j.mnl.2020.06.008
  7. Cory, N., & Stevens, P. (2020). Building a global framework for digital health services in the era of COVID-19. Information Technology and Innovation Foundation. https://itif.org/publications/2020/05/26/building-global-framework-digital-health-services-era-covid-19
  8. Creswell, J. W. (2016). Reflections on the MMIRA the future of mixed methods task force report. Journal of Mixed Methods Research, 10(3), 215-219. https://doi.org/10.1177/1558689816650298
  9. Davies, F. D. (1989). A technology acceptance model for empirically testing new end-user information systems: Theory and result in a doctoral dissertation. MIT Sloan School of Management.
  10. Dean, G. (2021). Ghana is using drones to deliver coronavirus vaccines to rural communities. Business Insider. https://www.businessinsider.com/covid-vaccine-ghana-drones-covax-who-coronavirus-zipline-rural-communities-2021-3
  11. Demuyakor, J. (2020). Ghana goes digital agenda: The impact of zipline drone technology on digital emergency health delivery in Ghana. Shanlax International Journal of Arts, Science, and Humanities, 8(1), 242-253. https://doi.org/10.34293/sijash.v8i1.3301
  12. Galle, A., Semaan, A., Huysmans, E., Audet, C., Asefa, A., Delvaux, T., Afolabi, B. B., Ayadi, A. M. E., & Benova, L. (2021). A double-edged sword—telemedicine for maternal care during COVID-19: Findings from a global mixed-methods study of healthcare providers. BMJ Global Health, 6(2), e004575. https://doi.org/10.1136/bmjgh-2020-004575
  13. Gasser, U., Ienca, M., Scheibner, J., Sleigh, J., & Vayena, E. (2020). Digital tools against COVID-19: Taxonomy, ethical challenges, and navigation aid. The Lancet Digital Health, 2(8), e425-e434. https://doi.org/10.1016/S2589-7500(20)30137-0
  14. Gerke, S., Shachar, C., Chai, P. R., & Cohen, I. G. (2020). Regulatory, safety, and privacy concerns of home monitoring technologies during COVID-19. Nature Medicine, 26(8), 1176-1182. https://doi.org/10.1038/s41591-020-0994-1
  15. Ghana Health Service. (2022). COVID-19 updates|Ghana. https://www.ghanahealthservice.org/covid19/archive.php
  16. Haleem, A., Javaid, M., & Vaishya, R. (2020). Effects of COVID-19 pandemic in daily life. Current Medicine Research and Practice, 10(2), 78-79. https://doi.org/10.1016/j.cmrp.2020.03.011
  17. Hammarberg, K., Kirkman, M., & de Lacey, S. (2016). Qualitative research methods: When to use them and how to judge them. Human Reproduction, 31(3), 498-501. https://doi.org/10.1093/humrep/dev334
  18. Horgan, D., Hackett, J., Westphalen, C. B., Kalra, D., Richer, E., Romao, M., Andreu, A. L., Lal, J. A., Bernini, C., Tumiene, B., Boccia, S., & Montserrat, A. (2020). Digitalisation and COVID-19: The perfect storm. Biomedicine Hub, 43-65. https://doi.org/10.1159/000511232
  19. Huang, Y., Sun, M., & Sui, Y. (2020, April). How digital contact tracing slowed COVID-19 in East Asia. Harvard Business Review. https://hbr.org/2020/04/how-digital-contact-tracing-slowed-covid-19-in-east-asia
  20. Kapoor, A., Guha, S., Kanti Das, M., Goswami, K. C., & Yadav, R. (2020). Digital healthcare: The only solution for better healthcare during the COVID-19 pandemic? Indian Heart Journal, 72(2), 61-64. https://doi.org/10.1016/j.ihj.2020.04.001
  21. Kim, S. H., Mims, C., & Holmes, K. P. (2006). An introduction to current trends and benefits of mobile wireless technology use in higher education. AACE Journal, 14(1), 77-100.
  22. Kopelovich, S. L., & Turkington, D. (2021). Remote CBT for psychosis during the COVID-19 pandemic: Challenges and opportunities. Community Mental Health Journal, 57(1), 30-34. https://doi.org/10.1007/s10597-020-00718-0
  23. Krishna, P. P., Brooke, J., & Gaire, T. (2020). High demand for digital health technologies for elderly and dementia care during COVID-19 pandemic. JMIR Aging. https://doi.org/10.2196/preprints.26024
  24. Marmot, M., Allen, J., Boyce, T., Goldblatt, P. & Morrison, J. (2020). Health equity in England: The Marmot Review 10 years on. The Health Foundation. https://doi.org/10.1136/bmj.m693
  25. Owusu, P. N. (2020). Digital technology applications for contact tracing: The new promise for COVID-19 and beyond? Global Health Research and Policy, 5(1), 36. https://doi.org/10.1186/s41256-020-00164-1
  26. Patton, M. Q. (2021). Qualitative research & evaluation methods. SAGE.
  27. Perneger, T. V., Courvoisier, D. S., Hudelson, P. M., & Gayet-Ageron, A. (2015). Sample size for pre-tests of questionnaires. Quality of Life Research, 24(1), 147-151. https://doi.org/10.1007/s11136-014-0752-2
  28. Romero-Rodríguez, J.-M., Aznar-Díaz, I., Hinojo-Lucena, F.-J., & Cáceres-Reche, M.-P. (2020). Models of good teaching practices for mobile learning in higher education. Palgrave Communications, 6(1), 80. https://doi.org/10.1057/s41599-020-0468-6
  29. Safi, S., Danzer, G., & Schmailzl, K. J. (2019). Empirical research on the acceptance of digital technologies in medicine among patients and healthy users: A questionnaire study. JMIR Human Factors, 6(4), e13472. https://doi.org/10.2196/13472
  30. Sarrab, M., Al-Shihi, H., & Khan, A. I. (2015). An empirical analysis of mobile learning (m-learning) awareness and acceptance in higher education. In Proceedings of the 2015 International Conference on Computing and Network Communications (pp. 960-963). https://doi.org/10.1109/CoCoNet.2015.7411307
  31. Scott, B. K., Miller, G. T., Fonda, S. J., Yeaw, R. E., Gaudaen, J. C., Pavliscsak, H. H., Quinn, M. T., & Pamplin, J. C. (2020). Advanced digital health technologies for covid-19 and future emergencies. Telemedicine and E-Health, 26(10), 1226-1233. https://doi.org/10.1089/tmj.2020.0140
  32. Siriwardhana, Y., Gur, G., Ylianttila, M., & Liyanage, M. (2020). The role of 5G for digital healthcare against COVID-19 pandemic: Opportunities and challenges. ICT Express, S2405959520304744. https://doi.org/10.1016/j.icte.2020.10.002
  33. Vaishya, R., Javaid, M., Khan, I. H., & Haleem, A. (2020). Artificial intelligence (AI) applications for COVID-19 pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(4), 337-339. https://doi.org/10.1016/j.dsx.2020.04.012
  34. Varela-Aldás, J., Buele, J., Ramos Lorente, P., García-Magariño, I., & Palacios-Navarro, G. (2021). A virtual reality-based cognitive telerehabilitation system for use in the COVID-19 pandemic. Sustainability, 13(4), 2183. https://doi.org/10.3390/su13042183
  35. Walton, G., Childs, S., & Blenkinsopp, E. (2005). Using mobile technologies to give health students access to learning resources in the UK community setting. Health Information and Libraries Journal, 22(s2), 51-65. https://doi.org/10.1111/j.1470-3327.2005.00615.x
  36. Whitelaw, S., Mamas, M. A., Topol, E., & Van Spall, H. G. C. (2020). Applications of digital technology in COVID-19 pandemic planning and response. The Lancet Digital Health, 2(8), e435-e440. https://doi.org/10.1016/S2589-7500(20)30142-4
  37. Wiśniowski, A., Sakshaug, J. W., Perez Ruiz, D. A., & Blom, A. G. (2020). Integrating probability and nonprobability samples for survey inference. Journal of Survey Statistics and Methodology, 8(1), 120-147. https://doi.org/10.1093/jssam/smz051
  38. Wittbold, K., Carroll, C., Iansiti, M., Zhang, H.M., and Landman, A.B., (2020). How hospitals are using AI to battle COVID-19. Harvard Business Review. https://hbr.org/2020/04/how-hospitals-are-using-ai-to-battle-covid-19
  39. WHO. (2020a). Contact tracing. World Health Organization. https://www.who.int/news-room/q-a-detail/contact-tracing
  40. WHO. (2020b). Emergency guideline: Implementation and management of contact tracing for Ebola virus disease. World Health Organization. https://www.who.int/csr/resources/publications/ebola/contact-tracing/en/
  41. WHO. (2020c). Statement on the second meeting of the international health regulations (2005) emergency committee regarding the outbreak of novel coronavirus (2019-nCoV). World Health Organization. https://www.who.int/news-room/detail/30-01-2020-statement-on-the-second-meeting-of-the-international-health-regulations-(2005)-emergency-committee
  42. WHO. (2021). Global strategy on digital health 2020-2025. World Health Organization. https://apps.who.int/iris/handle/10665/344249
  43. WHO. (2022). Global coronavirus cases. World Health Organization. https://covid19.who.int/?gclid=CjwKCAiAz4b_BRBbEiwA5XlVVteq5h6jvirgDJd-Q0M4gjwyzu73wtJUCJPQBvlWWP4JSZ_8KvOs6RoCcN4QAvD_BwE
  44. Yu, M., Li, Z., Yu, Z., He, J., & Zhou, J. (2020). Communication-related health crisis on social media: A case of COVID-19 outbreak. Current Issues in Tourism, 1-7. https://doi.org/10.1080/13683500.2020.1752632
  45. Zhu, N., Zhang, D., Wang, W., Li, X., Yang, B., Song, J., Zhao, X., Huang, B., Shi, W., Lu, R., Niu, P., Zhan, F., Ma, X., Wang, D., Xu, W., Wu, G., Gao, G. F., & Tan, W. (2020). A novel coronavirus from patients with pneumonia in china, 2019. New England Journal of Medicine, 382(8), 727-733. https://doi.org/10.1056/NEJMoa2001017