Impacts of the Quality of Human Resources and Equipment on Access to Healthcare in Cameroon
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Abstract
This study analyzes the effects of the quality of human resources and equipment on access to healthcare in Cameroon using data from the 2018 Demographic and Health Survey (DHS). Using a Logit model estimated through the Maximum Likelihood Method, the findings show that the quality of human resources significantly improves access to healthcare, whereas medical equipment has a positive but less robust effect. The study also highlights the determining role of geographical accessibility and financial constraints, which reduce the use of health services, as well as the positive effect of educational attainment. The results are generally confirmed by robustness tests. In terms of public policy, the study recommends strengthening human resources for health, improving the provision and functionality of medical equipment, and reducing financial barriers to improve equitable access to healthcare in Cameroon.
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References
1) Akaike, H. (1973). Information theory and an extension of the maximum likelihood principle. In Proceedings of the Second International Symposium on Information Theory. https://doi.org/10.1007/978-1-4612-1694-0
2) Andersen, R. M. (1968). Behavioral model of families’ use of health service. Chicago, IL: Research Services, Center for Health Administration Studies, University of Chicago. https://www.rand.org/pubs/reports/R2658.html
3) Andersen, R. M. (1995). Revisiting the behavioral model and access to medical care: Does it matter? Journal of Health and Social Behavior, 36(1), 1–10. https://doi.org/10.2307/2137284
4) Belsley, D. A., Kuh, E., & Welsch, R. E. (1980). Regression diagnostics: Identifying influential data and sources of collinearity. New York, NY: Wiley.
5) Campbell, J., Dussault, G., Buchan, J., Pozo-Martin, F., Guerra Arias, M., Leone, C., Siyam, A., & Cometto, G. (2013). A universal truth: No health without a workforce. Geneva: World Health Organization.
6) Campbell, J., et al. (2014). Building high-quality health systems. The Lancet. https://doi.org/10.1016/S0140-6736(14)60693-5
7) Cox, D. R., & Snell, E. J. (1989). Analysis of binary data (2nd ed.). London: Chapman & Hall. https://doi.org/10.1007/978-1-4899-0699-7
8) Donabedian, A. (1988). The quality of care: How can it be assessed? JAMA, 260(12), 1743–1748. https://doi.org/10.1001/jama.1988.03410120089033
9) Ensor, T., & Cooper, S. (2004). Overcoming barriers to health service access. Health Policy and Planning, 19(2), 69–79. https://doi.org/10.1093/heapol/czh009
10) Frenk, J., Chen, L., Bhutta, Z. A., Cohen, J., Crisp, N., Evans, T., Fineberg, H., Garcia, P., Ke, Y., Kelley, P., et al. (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
11) Gertler, P., & van der Gaag, J. (1990). The willingness to pay for medical care. Washington, DC: World Bank.
12) Gulliford, M., et al. (2002). Access to health care. Journal of Public Health Medicine, 24(4), 283–284. https://doi.org/10.1093/pubmed/24.4.283
13) Hosmer, D. W., Lemeshow, S., & Sturdivant, R. X. (2013). Applied logistic regression (3rd ed.). New York, NY: Wiley.
14) Institut National de la Statistique (INS), & ICF. (2019). Enquête Démographique et de Santé du Cameroun 2018. Yaoundé, Cameroun & Rockville, MD: INS et ICF. https://dhsprogram.com/publications/publication-FR360-DHS-Final-Reports.cfm
15) Kruk, M. E., Gage, A. D., Arsenault, C., Jordan, K., Leslie, H. H., Roder-DeWan, S., Adeyi, O., Barker, P., Daelmans, B., Doubova, S. V., et al. (2018). High-quality health systems in the Sustainable Development Goals era: Time for a revolution. Lancet Global Health, 6(11), e1196–e1252. https://doi.org/10.1016/S2214-109X(18)30386-3
16) Ministère de la Santé Publique (MINSANTE). (2016). Plan de Développement des Ressources Humaines pour la Santé au Cameroun 2016–2020. Yaoundé: République du Cameroun.
17) Ministère de la Santé Publique du Cameroun (MINSANTE). (2021). Plan National de Développement Sanitaire 2021–2025. Yaoundé: MINSANTE.
18) Ndziessi, G. (2018). Geographical disparities in access to health services in Cameroon. BMC Health Services Research.
19) Ndziessi, G. (2020). Health system capacity and service delivery in Cameroon. International Journal of Health Planning and Management.
20) Penchansky, R., & Thomas, J. W. (1981). The concept of access. Medical Care, 19(2), 127–140. https://doi.org/10.1097/00005650-198102000-00001
21) Tandi, T. E., Cho, Y., Akam, A. J. C., Afoh, C. O., Ryu, S. H., Choi, M. S., & Kim, K. (2015). Health-seeking behaviour and health system response in Cameroon. BMC Health Services Research.
22) United Nations. (2015). Transforming our world: The 2030 Agenda for Sustainable Development. New York, NY: United Nations. https://sdgs.un.org/2030agenda
23) Wagstaff, A., & van Doorslaer, E. (2003). Catastrophe and impoverishment in paying for health care. Health Economics, 12(11), 921–934. https://doi.org/10.1002/hec.771
24) Weiss, D. J. (2018). Global maps of travel time to healthcare. Nature Medicine, 24, 1835–1838. https://doi.org/10.1038/s41591-018-0131-5
25) World Health Organization. (2016). Global strategy on human resources for health: Workforce 2030. Geneva: WHO. https://www.who.int/publications/i/item/9789241511131
26) World Health Organization. (2023). Global Health Observatory data repository. Geneva: WHO. https://www.who.int/data/gho
27) World Health Organization. (2023). Universal health coverage (UHC). Geneva: WHO. https://www.who.int/health-topics/universal-health-coverage
28) Xu, K., et al. (2003). Household catastrophic health expenditure. The Lancet, 362(9388), 111–117. https://doi.org/10.1016/S0140-6736(03)15299-7