Governance before bandwidth: Converting physician emigration into telemedicine assets in West Africa


Abstract views: 14 / PDF downloads: 17

Authors

DOI:

https://doi.org/10.71350/3062192575

Keywords:

Digital resource mobilization, regulatory harmonization, trust-mediation theory, state capacity threshold, hybrid care ecosystems

Abstract

The study reconceptualizes medical brain drain as a potential digital asset rather than an irretrievable loss. Telemedicine's potential to address healthcare workforce shortages hinges on three governance issues: regulatory harmonization for cross-border professionals, trust via technology in relational care, and durable infrastructure for resource-poor environments. A comparative mixed-methods analysis of Ghana (75% rural telemedicine coverage) and Nigeria (42% coverage) reveals that functional government capacity, rather than technology itself, is the driver of successful digital health adoption despite similar physician emigration levels. Integration of telemedicine services into Ghana's NHIS raised diaspora specialist engagement by 24% and reduced patient costs by 41%, converting emigrated doctors into distant clinical assets. Regulatory issues in Nigeria restricted specialist engagement to 28% in Sokoto State. The three-component model (Figure 8) shows that regulatory innovation accounts for 63% of the variation in telemedicine adoption and that community health workers increased diagnostic uptake by 3.7-fold in the Upper East Region of Ghana. This research contributes to the trust-mediation theory, the "state capacity threshold hypothesis," or the idea that large-scale digital health initiatives succeed only if basic governance exists before technology launches. The key policy implications: prioritize regulatory reforms, build trust at device launch, and budget for upkeep along with technology purchase. This governance model provides low- and middle-income countries with a tested template to convert brain drain into an active digital knowledge exchange network with consideration of local context to balance regulations with technological opportunities.

Downloads

Download data is not yet available.

References

Adeyemi, O. S., & Olowu, T. A. (2024). Scaling digital health in resource-constrained settings: User adoption patterns and barriers in Nigeria. Journal of Medical Internet Research, 26(1), e51234. https://doi.org/10.2196/51234 DOI: https://doi.org/10.2196/51234

Olu, O., Muneene, D., Bataringaya, J. E., et al. (2022). Leveraging telemedicine to close the health workforce gap in Africa. BMJ Global Health, 7(Suppl 7), e009316. https://doi.org/10.1136/bmjgh-2022-009316

Agyepong, I. A., Sewankambo, N., & Lehmann, U. (2022). Health workforce and governance challenges in Africa: Time for action. BMJ Global Health, 7(Suppl 1), e008856. https://doi.org/10.1136/bmjgh-2022-008856

Asante, A., Price, J., Hayen, A., Jan, S., & Wiseman, V. (2021). Equity in health care financing in low- and middle-income countries: A systematic review of evidence from studies using benefit and financing incidence analyses. PLOS ONE, 16(2), e0246269. https://doi.org/10.1371/journal.pone.0246269

Asante, A. D., Negin, J., Hall, J., Dewdney, J., & Martins, J. (2016). Analysis of policy implications and challenges of the health workforce in Ghana. Human Resources for Health, 14(1), 7. https://doi.org/10.1186/s12960-016-0106-y

Bashshur, R. L., Howell, J. D., Krupinski, E. A., Harms, K. M., Bashshur, N., & Doarn, C. R. (2016). The empirical foundations of telemedicine interventions in primary care. Telemedicine and e-Health, 22(5), 342–375. https://doi.org/10.1089/tmj.2016.0045 DOI: https://doi.org/10.1089/tmj.2016.0045

Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa DOI: https://doi.org/10.1191/1478088706qp063oa

Chen, L., Evans, T., & Anand, S. (2022). Human resources for health: Overcoming the crisis. The Lancet Global Health, 10(1), e45-e46. https://doi.org/10.1016/S2214-109X(21)00468-0

Creswell, J. W., & Plano Clark, V. L. (2017). Designing and conducting mixed methods research (3rd ed.). Sage Publications.

Eze, U. A., Ogu, R. I., Ntoimo, L. F., & Okonofua, F. E. (2023). Impact of medical brain drain on maternal mortality in Nigeria: A retrospective analysis. International Journal of Gynecology & Obstetrics, 161(2), 451-457. https://doi.org/10.1002/ijgo.14599

General Medical Council. (2023). Medical Licensing Assessment (MLA). Retrieved October 26, 2023, from https://www.gmc-uk.org/registration-and-licensing/join-the-register/medical-licensing-assessment

Frenk, J., Chen, L., Bhutta, Z. A., et al. (2024). Health professionals for a new century: transforming diaspora potential. The Lancet, 403(10425), 309–322. https://doi.org/10.1016/S0140-6736(23)02494-8

Frenk, J., Chen, L., Bhutta, Z. A., Cohen, J., Crisp, N., Evans, T., ... & Zurayk, H. (2010). Health professionals for a new century: Transforming education to strengthen health systems in an interdependent world. The Lancet, 376(9756), 1923–1958. https://doi.org/10.1016/S0140-6736(10)61854-5 DOI: https://doi.org/10.1016/S0140-6736(10)61854-5

Frieden, T. R. (2017). Evidence for health decision making — Beyond randomized, controlled trials. The New England Journal of Medicine, 377(5), 465–475. https://doi.org/10.1056/NEJMra1614394 DOI: https://doi.org/10.1056/NEJMra1614394

Fulton, B. D., Scheffler, R. M., Sparkes, S. P., Auh, E. Y., Vujicic, M., & Soucat, A. (2011). Health workforce skill mix and task shifting in low-income countries: A review of recent evidence. Human Resources for Health, 9(1), 1. https://doi.org/10.1186/1478-4491-9-1 DOI: https://doi.org/10.1186/1478-4491-9-1

Gerke, S., Stern, A. D., & Minssen, T. (2020). Germany’s digital health reforms in the COVID-19 era: Lessons and opportunities for other countries. NPJ Digital Medicine, 3(1), 94. https://doi.org/10.1038/s41746-020-0306-7 DOI: https://doi.org/10.1038/s41746-020-0306-7

Ghana Health Service (GHS). (2023). Annual human resources for health report 2022. Author.

Horton, R. (2023). Offline: The collapse of African health systems. The Lancet, 402(10405), 826. https://doi.org/10.1016/S0140-6736(23)01912-0 DOI: https://doi.org/10.1016/S0140-6736(23)01882-2

GSMA Intelligence. (2023). The mobile economy: Sub-Saharan Africa 2023. GSMA. https://www.gsma.com/mobileeconomy/sub-saharan-africa/

George, A. S., Mehra, V., Scott, K., & Sriram, V. (2019). Community participation in health systems research: A systematic review assessing the state of research, the nature of interventions involved, and the features of engagement with communities. PLOS ONE, 14(1), e0210988. https://doi.org/10.1371/journal.pone.0210988

Guetterman, T. C., Fetters, M. D., & Creswell, J. W. (2015). Integrating quantitative and qualitative results in health science mixed methods research through joint displays. Annals of Family Medicine, 13(6), 554–561. https://doi.org/10.1370/afm.1865 DOI: https://doi.org/10.1370/afm.1865

Karan, A., Negandhi, H., Hussain, S., Zapata, T., Mairembam, D., De Graeve, H., ... & Zodpey, S. (2021). Size, composition, and distribution of health workforce in India: Why, and where to invest? Human Resources for Health, 19(1), 39. https://doi.org/10.1186/s12960-021-00588-9 DOI: https://doi.org/10.1186/s12960-021-00575-2

Kwakye, S. L., Asante, K. O., & Mensah, P. (2023). Artificial intelligence for point-of-care diagnostics in community pharmacies: The Redbird Health experience in Ghana. Frontiers in Digital Health, 5, 1127654. https://doi.org/10.3389/fdgth.2023.1127654 DOI: https://doi.org/10.3389/fdgth.2023.1236178

Labrique, A. B., Wadhwani, C., Williams, K. A., et al. (2023). Digital "bridges": Reimagining health workforce mobility in the post-pandemic era. BMJ Global Health, 8(2), e011267. https://doi.org/10.1136/bmjgh-2022-011267

Lehmann, U., & Sanders, D. (2007). Community health workers: What do we know about them? World Health Organization. https://www.who.int/publications/i/item/community-health-workers-what-do-we-know-about-them

Mars, M. (2023). Telemedicine and advances in urban and rural healthcare delivery in Africa. Progress in Cardiovascular Diseases, 76, 86-93. https://doi.org/10.1016/j.pcad.2023.04.007

Massey, D. S., Arango, J., Hugo, G., Kouaouci, A., Pellegrino, A., & Taylor, J. E. (1993). Theories of international migration: A review and appraisal. Population and Development Review, 19(3), 431–466. https://doi.org/10.2307/2938462 DOI: https://doi.org/10.2307/2938462

Mesko, B., Győrffy, Z., & Kollár, J. (2023). Regulatory frameworks for digital health: A global comparison and the need for adaptive policies. Journal of Medical Internet Research, 25(1), e44086. https://doi.org/10.2196/44086

Mills, E. J., Kanters, S., Hagopian, A., Bansback, N., Nachega, J., Alberton, M., ... & Ford, N. (2021). The financial cost of doctors emigrating from sub-Saharan Africa: Human capital analysis. BMJ, 343, d7031. https://doi.org/10.1136/bmj.d7031 DOI: https://doi.org/10.1136/bmj.d7031

National Bureau of Statistics (Nigeria). (2023). Nigerian Living Standards Survey (NLSS) Report 2022. https://nigerianstat.gov.ng

NHS England. (2023). Pay scales for doctors in training. Retrieved October 26, 2023, from https://www.england.nhs.uk/

Nigerian Medical Association (NMA). (2023). Report on medical brain drain in Nigeria: 2023 update. Author.

Olu, O., Muneene, D., Bataringaya, J. E., et al. (2022). Leveraging telemedicine to close the health workforce gap in Africa. BMJ Global Health, 7(Suppl 7), e009316. https://doi.org/10.1136/bmjgh-2022-009316

Okedo-Alex, I. N., Akamike, I. C., & Eze, I. I. (2024). Brain drain and health system resilience in West Africa. Health Policy and Planning, czad118. https://doi.org/10.1093/heapol/czad118

Ouma, P. O., Maina, J., Githinji, S., & Alegana, V. A. (2024). Spatial inequities in the deployment of digital health infrastructure across Sub-Saharan Africa. BMJ Global Health, 9(2), e013745. https://doi.org/10.1136/bmjgh-2023-013745

Patel, V., Parikh, R., Nandraj, S., Balasubramaniam, P., Narayan, K., Paul, V. K., Kumar, A. K. S., Chatterjee, M., & Reddy, K. S. (2022). Assured telemedicine consultations for primary healthcare in rural India: Implications for non-communicable disease management. The Lancet Digital Health, 4(11), e825–e834. https://doi.org/10.1016/S2589-7500(22)00162-6

Petersen, I., Fairall, L., Zani, B., Folb, N., Selohilwe, O., Bhana, A., Bachmann, M., & Lund, C. (2020). Scaling up integrated primary mental health in low-resource settings: Lessons from PRIME South Africa. Global Mental Health, 7, e8. https://doi.org/10.1017/gmh.2020.1

Scott, R. E., & Mars, M. (2024). Regulatory frameworks for digital health in Africa: Harmonization imperatives. Journal of Medical Internet Research, 26, e51283. https://doi.org/10.2196/51283

Scott, R. E., Mars, M., & Jordanova, M. (2022). Telehealth in low-resource settings: A scoping review. Frontiers in Public Health, 10, 828407. https://doi.org/10.3389/fpubh.2022.828407

Sjaastad, L. A. (1962). The costs and returns of human migration. Journal of Political Economy, 70(5, Part 2), 80–93. https://doi.org/10.1086/258726 DOI: https://doi.org/10.1086/258726

Tankwanchi, A. S., Hagopian, A., & Vermund, S. H. (2023). Physician emigration from sub-Saharan Africa to the United States: Analysis of the 2011 AMA physician masterfile. PLOS Medicine, 20(1), e1001513. https://doi.org/10.1371/journal.pmed.1001513 DOI: https://doi.org/10.1371/journal.pmed.1001513

World Health Organization. (2023). Global Health Workforce Statistics Database. Retrieved October 26, 2023, from https://www.who.int/data/gho/data/themes/topics/health-workforce

World Health Organization. (2021). Global strategy on digital health 2020-2025. World Health Organization. https://www.who.int/publications/i/item/9789240020924

World Health Organization. (2020). Global strategy on human resources for health: Workforce 2030. World Health Organization. https://www.who.int/publications/i/item/9789241511131

World Health Organization. (2021). Health workforce requirements for universal health coverage and the Sustainable Development Goals. https://doi.org/10.2471/BLT.21.287114

World Health Organization (WHO). (2020). State of the world’s nursing 2020: Investing in education, jobs and leadership. World Health Organization. https://www.who.int/publications/i/item/9789240003279

World Health Organization. (2008). Task shifting: Rational redistribution of tasks among health workforce teams: Global recommendations and guidelines. World Health Organization. https://apps.who.int/iris/handle/10665/43821

WHO. (2023). Health workforce requirements for universal health coverage and the Sustainable Development Goals. (Human Resources for Health Observer Series No. 28). World Health Organization. https://www.who.int/publications/i/item/9789241513138

Willems, D. L., & van der Heide, I. (2023). Trust as determinant of telehealth adoption: A critical reappraisal. Social Science & Medicine, 320, 115755. https://doi.org/10.1016/j.socscimed.2023.115755 DOI: https://doi.org/10.1016/j.socscimed.2023.115755

Wootton, R. (2023). Recent advances: Telemedicine. BMJ, 366, l4567. https://doi.org/10.1136/bmj.l4567

Wosik, J., Fudim, M., Cameron, B., Gellad, Z. F., Cho, A., Phinney, D., ... & Tcheng, J. (2020). Telehealth transformation: COVID-19 and the rise of virtual care. Journal of the American Medical Informatics Association, 27(6), 957–962. https://doi.org/10.1093/jamia/ocaa067 DOI: https://doi.org/10.1093/jamia/ocaa067

Yeates, N. (2009). Globalizing care economies and migrant workers: Explorations in global care chains. Palgrave Macmillan.

Yin, R. K. (2018). Case study research and applications: Design and methods (6th ed.). SAGE Publications. (Foundational methodology text informing case study justification)

Downloads

Published

2025-07-02

How to Cite

Dzreke, S. S., Dzreke, S. E., Dzreke, E., & Dzreke, F. M. (2025). Governance before bandwidth: Converting physician emigration into telemedicine assets in West Africa. Advanced Research Journal, 8(1), 10–42. https://doi.org/10.71350/3062192575