Social Determinants and Inequality in Maternal and Child Health in Sub-Saharan Africa: A Critical Review and Analytical Synthesis

Authors

Kayode David Toluhi

Department of Economics, Veritas University, Abuja (Nigeria)

Enitan Wale-Odunaiya

Department of Economics, Veritas University, Abuja (Nigeria)

Article Information

DOI: 10.47772/IJRISS.2026.100600505

Subject Category: Economics

Volume/Issue: 10/6 | Page No: 7245-7261

Publication Timeline

Submitted: 2026-06-06

Accepted: 2026-06-11

Published: 2026-06-27

Abstract

Sub-Saharan Africa (SSA) continues to bear a disproportionate burden of maternal and child mortality despite two decades of global health investment, accounting for approximately 70% of global maternal deaths and some of the highest under-five mortality rates worldwide. These outcomes are not reducible to biomedical or health-system failures alone; they reflect deeply rooted social determinants embedded within historical, political, and economic structures. This paper provides a comprehensive theoretical and empirical synthesis of the social determinants driving maternal and child health (MCH) inequalities in SSA, integrating the WHO Commission on Social Determinants of Health framework, the Mosley–Chen child survival model, and an intersectionality lens. A systematic narrative review of peer-reviewed literature, Demographic and Health Survey analyses, and multilateral organisation reports was conducted. Studies spanning wealth inequality, educational disadvantage, rural–urban spatial disparities, gender inequality, health system quality, temporal trends, and intersectional multiple disadvantages were critically synthesised. Persistent pro-rich inequalities in skilled birth attendance, antenatal care uptake, and child immunisation were identified across the region. Maternal education emerged as an independent protective factor for child survival. Rural populations face compounded barriers including geographic isolation, health workforce shortages, and weak emergency referral systems. Gender inequality and restricted female autonomy remain structural drivers of poor reproductive health outcomes. Healthcare quality deficits, not merely access gaps, contribute substantially to preventable mortality. The inverse equity hypothesis is supported: health improvements disproportionately benefit wealthier, urban populations first. MCH inequalities in SSA arise from the interaction of poverty, educational disadvantage, gender inequality, geographic isolation, and weak health systems. An intersectional approach reveals that compounded disadvantages produce multiplicative not merely additive harm. Achieving equitable MCH outcomes requires integrated policies addressing structural determinants alongside health system strengthening.

Keywords

maternal health; child health; social determinants; Sub-Saharan Africa

Downloads

References

1. Abdalla, S. M., & Galea S. (2026). Embracing complexity and innovation to tackle the social determinants of health. BMJ Glob Health, 1- 4. doi:10.1136/bmjgh-2025-020610 [Google Scholar] [Crossref]

2. Adewole, I. F., Filani, O., & Kana, I. (2024). Using performance-based grants to subnational governments to improve health outcomes: An evaluation of maternal and child health services in sub-Saharan Africa. BMJ Public Health, 2(1), e004048. [Google Scholar] [Crossref]

3. Ahinkorah, B. O., Ameyaw, E. K., Seidu, A.-A., Yaya, S., & Schack, T. (2021). Wealth inequality and under-five mortality in sub-Saharan Africa: Evidence from demographic and health surveys. BMC Public Health, 21(1), 1–12. [Google Scholar] [Crossref]

4. Ataguba, J. E., Ichoku, H. E., & Fonta, W. M. (2015). Socioeconomic inequalities in health and the implications for policy in Nigeria. Social Science & Medicine, 124, 104–110. [Google Scholar] [Crossref]

5. Banke-Thomas, A., Wong, K. L. M., Ayomoh, F., Abejirinde, I. O., & Banke-Thomas, O. (2020). 'In cities, it's not far, but it takes long': Comparing estimated and replicated travel times to reach life-saving obstetric services in Lagos, Nigeria. Health Policy and Planning, 35(9), 1170–1179. [Google Scholar] [Crossref]

6. Barros, A. J. D., Victora, C. G., Cesar, J. A., Neumann, N. A., Bertoldi, A. D., & Gwatkin, D. (2020). Subnational inequalities in RMNCH. BMJ Global Health, 5(1). [Google Scholar] [Crossref]

7. Bobo, F. T., Yesuf, E. A., & Woldie, M. (2022). Inequalities in maternal health service utilisation in Sub-Saharan Africa: A multilevel analysis. International Journal for Equity in Health, 21(1), 1–14. [Google Scholar] [Crossref]

8. Bohren, M. A., Vogel, J. P., Hunter, E. C., Lutsiv, O., Makh, S. K., Souza, J. P., & Gülmezoglu, A. M. (2015). The mistreatment of women during childbirth in health facilities globally: A mixed-methods systematic review. PLoS Medicine, 12(6), e1001847. [Google Scholar] [Crossref]

9. Bowleg, L. (2012). The problem with the phrase 'women and minorities': Intersectionality an important theoretical framework for public health. American Journal of Public Health, 102(7), 1267–1273. [Google Scholar] [Crossref]

10. Braveman, P., Arkin, E., Orleans, T., Proctor, D., & Plough, A. (2022). What is health equity? And what difference does a definition make? Milbank Quarterly, 100(2), 169–199. https://doi.org/10.1111/1468-0009.12554 [Google Scholar] [Crossref]

11. Budu, E., Chattu, V. K., Ahinkorah, B. O., et al. (2021). Early age at first childbirth and skilled birth attendance during delivery among young women in sub-Saharan Africa. BMC Pregnancy and Childbirth, 21, 834. [Google Scholar] [Crossref]

12. Caldwell, J. C. (1979). Education as a factor in mortality decline: An examination of Nigerian data. Population Studies, 33(3), 395–413. [Google Scholar] [Crossref]

13. Chiroma, H. A. (2021). Socioeconomic factors affecting maternal mortality in Sub-Saharan Africa: A scoping review. Public Health Institute Journal, 2. [Google Scholar] [Crossref]

14. Cleland, J. G., & van Ginneken, J. K. (1988). Maternal education and child survival in developing countries: The search for pathways of influence. Social Science & Medicine, 27(12), 1357–1368. [Google Scholar] [Crossref]

15. Crenshaw, K. (1989). Demarginalizing the intersection of race and sex. University of Chicago Legal Forum, 1989(1), 139–167. [Google Scholar] [Crossref]

16. Ezeh, A., Oyebode, O., Satterthwaite, D., Chen, Y.-F., Ndugwa, R., Sartori, J., & Caiaffa, W. (2017). The history, geography, and sociology of slums and the health problems of people who live in slums. The Lancet, 389(10068), 547–558. [Google Scholar] [Crossref]

17. Frenk, J., Chen, L., Bhutta, Z. A., Cohen, J., Crisp, N., Evans, T., & Zurayk, H. (2010). Health professionals for a new century. The Lancet, 376(9756), 1923–1958. [Google Scholar] [Crossref]

18. Hosseinpoor, A. R., Bergen, N., Mendis, S., Harper, S., Verdes, E., Kunst, A., & Chatterji, S. (2012). Socioeconomic inequality in the prevalence of noncommunicable diseases. BMC Public Health, 12(1), 474. [Google Scholar] [Crossref]

19. Jejeebhoy, S. J. (1995). Women's education, autonomy, and reproductive behaviour: Experience from developing countries. Clarendon Press. [Google Scholar] [Crossref]

20. Kawachi, I., Subramanian, S. V., & Almeida-Filho, N. (2002). A glossary for health inequalities. Journal of Epidemiology and Community Health, 56(9), 647–652. https://doi.org/10.1136/jech.56.9.647 [Google Scholar] [Crossref]

21. Kim, J. Y., Millen, J. V., Irwin, A., & Gershman, J. (2000). Dying for growth: Global inequality and the health of the poor. Common Courage Press. [Google Scholar] [Crossref]

22. Kruk, M. E., Gage, A. D., Arsenault, C., Jordan, K., Leslie, H. H., Roder-DeWan, S., & Pate, M. (2018). High-quality health systems in the Sustainable Development Goals era. The Lancet Global Health, 6(11), e1196–e1252. [Google Scholar] [Crossref]

23. Marmot M. (2017). The Health Gap: The Challenge of an Unequal World: The argument. International journal of epidemiology, 46(4), 1312–1318. https://doi.org/10.1093/ije/dyx163 [Google Scholar] [Crossref]

24. Marmot, M. (2005). Social determinants of health inequalities. The Lancet, 365(9464), 1099 –1104. [Google Scholar] [Crossref]

25. Mosley, W. H., & Chen, L. C. (1984). An analytical framework for the study of child survival in developing countries. Population and Development Review, 10 (Supplement), 25– 45. [Google Scholar] [Crossref]

26. Navarro, V. (2007). Neoliberalism and health inequalities. International Journal of Health Services, 37(1), 109–118. [Google Scholar] [Crossref]

27. Neal, S., Matthews, Z., Frost, M., Fogstad, H., Camacho, A. V., & Laski, L. (2016). Childbearing in adolescents aged 12–15 years in low-resource countries. New Estimates from Demographic and Household Surveys in 42 Countries. [Google Scholar] [Crossref]

28. Nwosu, C. O., & Ataguba, J. E. (2019). Socioeconomic inequalities in maternal health service utilisation: A case of antenatal care in Nigeria. BMC Public Health, 19(1), 1493. [Google Scholar] [Crossref]

29. Samadoulougou, F. K., Fassinou, L. C., Garba, M. L. I., Maïga, A., Zeger, S. L., & Amouzou, A. (2025). Assessing the joint effects of education, economic status, empowerment, and employment (4Es) disparities on the co-coverage of maternal, newborn and child health care services in sub-Saharan Africa. Journal of Global Health, 15, Article 04124. [Google Scholar] [Crossref]

30. Sen, A. (1999). Development as freedom. Oxford University Press.. [Google Scholar] [Crossref]

31. Sen, G., Iyer, A., & Mukherjee, C. (2009). A methodology to analyse the intersections of social inequalities in health. Journal of Human Development and Capabilities, 10(3), 397–415. [Google Scholar] [Crossref]

32. Solar, O., & Irwin, A. (2010). A conceptual framework for action on the social determinants of health. World Health Organization. [Google Scholar] [Crossref]

33. Thaddeus, S., & Maine, D. (1994). Too far to walk: Maternal mortality in context. Social Science & Medicine, 38(8), 1091–1110. [Google Scholar] [Crossref]

34. United Nations. (2021). Policy brief: The impact of COVID-19 on Africa. United Nations. [Google Scholar] [Crossref]

35. UNESCO. (2022). Global education monitoring report 2022. UNESCO. [Google Scholar] [Crossref]

36. Van Malderen, C., Amouzou, A., Barros, A. J. D., Masquelier, B., Van Oyen, H., & Speybroeck, N. (2019). Socioeconomic factors contributing to under-five mortality in Sub-Saharan Africa. Global Health Action, 12(1), 1557322. [Google Scholar] [Crossref]

37. Victora, C. G., Joseph, G., Silva, I. C. M., Maia, F. S., & Vaughan, J. P. (2018). The inverse equity hypothesis: Analyses of institutional deliveries in 286 national surveys. American Journal of Public Health, 108(4), 464–471. [Google Scholar] [Crossref]

38. Whitehead, M. (1992). The concepts and principles of equity and health. International Journal of Health Services, 22(3), 429–445. [Google Scholar] [Crossref]

39. World Health Organization (WHO). (2023). World health statistics 2023: Monitoring health for the SDGs. WHO. [Google Scholar] [Crossref]

40. Yaya, S., Uthman, O. A., Okonofua, F., & Bishwajit, G. (2019). Decomposing the rural-urban gap in the factors of under-five mortality in sub-Saharan Africa? Evidence from 35 countries. BMC Public Health, 19, 616. [Google Scholar] [Crossref]

Metrics

Views & Downloads

Similar Articles