Skip to main content

Advertisement

Log in

National health insurance and the choice of delivery facility among expectant mothers in Ghana

  • Research article
  • Published:
International Journal of Health Economics and Management Aims and scope Submit manuscript

Abstract

The effectiveness of health insurance in removing barriers to the utilisation of maternal healthcare in order to curb maternal mortality especially in developing countries is gaining ground. However, in assessing the effects of health insurance on choice of delivery facilities, previous studies either put all delivery services together and used binary techniques or failed to address endogeneity problem. Moreover, the age of data used for such analysis in Ghana may not tell a convincing story. This study used data from the 2014 to 2008 Ghana Demographic and Health Surveys with a sample of 6319 women and employed multinomial endogenous treatment effects models with Conditional Mixed Process estimator to examine the effects of national health insurance scheme (NHIS) on the choice delivery facility in Ghana. We found that NHIS has varied effects on the use of delivery services across service providers in the health system. Relative to home delivery services, being insured increases the probability of using public hospitals, public clinics and private health facilities for delivery by 20.3 percent, 9.1 percent and 2.3 percent respectively. Moreover, relative to an insured woman who gave birth before 2008, her counterpart who gave birth after 2008 is 6.3 percent, 4.9 percent and 0.77 percent more likely to use public hospitals, public clinics and private health facilities respectively for delivery.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. In 2017, about 295,000 women died of maternal death worldwide with daily death of 810. About 94% of all maternal deaths occur in low and lower middle-income countries, 66% occur in Sub-Saharan Africa (WHO 2019a). In 2017, Ghana had about 2700 maternal deaths with maternal mortality ratio (MMR) of 308 per 100,000 live births, lifetime risk of maternal death being one in 82 (WHO 2019b). Can Ghana achieve the SDG3 of MMR of 70 by the year 2030?

References

  • Abrokwah, S. O., Moser, C. M., & Norton, E. C. (2014). The effect of social health insurance on prenatal care: The case of Ghana. International Journal of Health Care Finance and Economics, 14(4), 385–406.

    Article  Google Scholar 

  • Agbanyo, R. (2012). Demand for institutional parturition care services in Ghana. M.Phil Thesis. School of Economics, University of Cape Coast.

  • Agbanyo, R. (2019). National health insurance, women’s autonomy and maternal healthcare utilisation in Ghana. PhD Thesis. School of Economics, University of Cape Coast.

  • Agbanyo, R. (2020). Ghana’s national health insurance, free maternal healthcare and facility-based delivery services. African Development Review, 32(1), 27–41.

    Article  Google Scholar 

  • Alhassan, H., Abu, B. M., & Nkegbe, P. K. (2020). Access to credit, farm productivity and market participation in Ghana: A conditional mixed process approach. The Journal of Applied Economic Research, 14(2), 226–246.

    Google Scholar 

  • Alkenbrack, S. E. (2011). Health insurance in Lao PDR: Examining enrolment, impacts, and the prospects for expansion. London: University of London.

    Google Scholar 

  • Anderson, 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.

    Article  Google Scholar 

  • Bormann, N. (2011). Conditional consociationalism: Electoral systems and grand coalitions. Political Violence and Institutions. Gallen, Switzerland: Center of Comparative and International Studies.

    Google Scholar 

  • Bullough, C., Meda, N., Makowiecka, K., Ronsmans, C., Achadi, E. L., & Hussein, J. (2005). Current strategies for the reduction of maternal mortality. BJOG An International Journal of Obstetrics and Gynaecology, 112(9), 1180–1188.

    Article  Google Scholar 

  • Chamberlain, G., & Griliches, Z. (1975). Unovservables with a variance-components structures: Ability, schooling, and the economic success of brothers. International Economic Review, 16(2), 422–449.

    Article  Google Scholar 

  • Comfort, A. B., Peterson, L. A., & Hatt, L. E. (2013). Effect of health insurance on the use and provision of maternal health services and maternal and neonatal health outcomes: A systematic review. Journal of Health, Population and Nutrition, 31(4), 81–105.

    Google Scholar 

  • Courtemanche, C., Tchernis, R., & Ukert, B. (2017). The effect of smoking on obesity: Evidence from a randomized trial. Journal of Health Economics, 57, 31–44.

    Article  Google Scholar 

  • Curley, C., Krause, R. M., Feiock, R., & Hawkins, C. V. (2019). Dealing with missing data: A comparative exploration of approaches using the integrated city sustainability database. Urban Affairs Review, 55(2), 591–615.

    Article  Google Scholar 

  • Damrongplasit, K., & Wangdi, T. (2017). Healthcare utilization, bypass, and multiple visits: The case of Bhutan. International Journal of Health Economics and Management, 17(1), 51–81.

    Article  Google Scholar 

  • Dang, T. (2018). Do the more educated utilize more health care services? Evidence from Vietnam using a regression discontinuity design. International Journal of Health Economics and Management, 18(3), 277–299.

    Article  Google Scholar 

  • Dixon, J., Tenkorang, E. Y., Luginaah, I. N., Kuuire, V. Z., & Boateng, G. O. (2014). National health insurance scheme enrolment and antenatal care among women in ghana: Is there any relationship? Tropical Medicine and International Health, 19(1), 98–106.

    Article  Google Scholar 

  • Figueiredo, K. M. S., Gonçalves, G. A. A., Batista, H. M. T., Akerman, M., Pinheiro, W. R., & Nascimento, V. B. (2018). Actions of primary health care professionals to reduce maternal mortality in the Brazilian Northeast. International Journal for Equity in Health, 17(1), 1–8.

    Article  Google Scholar 

  • Frimpong, J. A., Helleringer, S., Awoonor-Williams, J. K., Aguilar, T., Phillips, J. F., & Yeji, F. (2014). The complex association of health insurance and maternal health services in the context of a premium exemption for pregnant women: A case study in Northern Ghana. Health Policy and Planning, 29(8), 1043–1053.

    Article  Google Scholar 

  • Ghana Ministry of Health. (2011). Ghana human resources for health country profile. New Delhi: Ministry of Health.

    Google Scholar 

  • Giedion, U., Díaz, B. Y., Alfonso, E. A., & Savedoff, W. D. (2007). The impact of subsidized health insurance on access, utilization and health status in Colombia (Amanda L. Glassman, M.-L. Escobar, A. Giuffrida, & U. Giedion (eds.). The World Bank.

  • Grossman, M. (1972). On the concept of health capital and the demand for health. Journal of Political Economy, 80(2), 223–255.

    Article  Google Scholar 

  • Ghana Statistical Services, GHS, & ICF International. (2015). Ghana Demographic and Health Survey 2014. Accra Ghana.

  • Gobah, F. G., & Liang Z. (2011). The National Health Insurance Scheme in Ghana: Prospects and Challenges: a cross-sectional evidence. Global Journal of Health Science, 3(2), 90–101.

  • Gujarati, D. N. (2003). Basic econometrics (4th ed.). New York: The McGraw-Hili Companies, Inc.

    Google Scholar 

  • Gustafsson-Wright, E., Popławska, G., Tanović, Z., & van der Gaag, J. (2018). The impact of subsidized private health insurance and health facility upgrades on healthcare utilization and spending in rural Nigeria. International Journal of Health Economics and Management, 18(3), 221–276.

    Article  Google Scholar 

  • Haider, M. R., Qureshi, Z. P., & Khan, M. M. (2017). Effects of women’s autonomy on maternal healthcare utilization in Bangladesh: Evidence from a national survey. Sexual and Reproductive Healthcare, 14, 40–47.

    Article  Google Scholar 

  • Jowett, M., Deolalikar, A., & Martinsson, P. (2004). Health insurance and treatment seeking behaviour: Evidence from a low-income country. Health Economics, 13, 845–857.

    Article  Google Scholar 

  • Kang, H. (2013). The prevention and handling of the missing data. Korean Journal of Anesthesiology, 64(5), 402–406.

    Article  Google Scholar 

  • Karahalios, A., Baglietto, L., Carlin, J. B., English, D. R., & Simpson, J. A. (2012). A review of the reporting and handling of missing data in cohort studies with repeated assessment of exposure measures. BMC Medical Research Methodology, 12(1), 1–10.

    Article  Google Scholar 

  • Lang’At, E., Mwanri, L., & Temmerman, M. (2019). Effects of implementing free maternity service policy in Kenya: An interrupted time series analysis. BMC Health Services Research, 19(1), 1–10.

    Article  Google Scholar 

  • Maitra, P. (2004). Parental bargaining, health inputs and child mortality in India. Journal of Health Economics, 23(2), 259–291.

    Article  Google Scholar 

  • Makate, C., Wang, R., Makate, M., & Mango, N. (2016). Crop diversification and livelihoods of smallholder farmers in Zimbabwe: Adaptive management for environmental change. Springer Plus, 5(1), 1–18.

    Article  Google Scholar 

  • Mensah, J., Oppong, J. R., & Schmidt, C. M. (2010). Ghana’s national health insurance scheme in the context of the health MDGs: An empirical evaluation using propensity score matching. Health Economics, 19(11), 95–106.

    Article  Google Scholar 

  • Munkin, M. K., & Trivedi, P. K. (2003). Bayesian analysis of a self-selection model with multiple outcomes using simulation-based estimation: An application to the demand for healthcare. Journal of Econometrics, 114(2), 197–220.

    Article  Google Scholar 

  • Mwaro, J. O., Chaba, L., & Odhiambo, C. (2020). Using Statistical Learning to Treat Missing Data: A Case of HIV/TB Co-Infection in Kenya. Journal of Data Analysis and Information Processing, 08(03), 110–133.

    Article  Google Scholar 

  • NHIA (2010). National Health Insurance Authority 2010 Annual reports.

  • Nketiah-Amponsah, E., & Arthur, E. (2013). Choice of delivery facility among expectant mothers in ghana: does access to health insurance matter? Journal of Health Management, 15(4), 509–524.

    Article  Google Scholar 

  • Osei Adu, K. (2020). Effects of national health insurance status on individual’s choice of healthcare facility in selected Regions of Ghana. International Journal of Statistics and Economics, 21(1), 25–40.

    Google Scholar 

  • Owusu-Sekyere, E., & Chiaraah, A. (2014). Demand for health insurance in Ghana: What factors influence enrollment? American Journal of Public Health Research, 2(1), 27–35.

    Article  Google Scholar 

  • Roodman, D. (2011). Fitting fully observed recursive mixed-process models with cmp. The Stata Journal, 11(2), 159–206.

    Article  Google Scholar 

  • Roodman, D. (2018). How to do endogeneity test using cmp. The stata forum of statalist. Retrieved 20th May 2019. https://www.statalist.org/forums/forum/general-stata-discussion/general/1440994-how-to-do-endogeneity-test-using-cmp?

  • Salkeld, G., Ryan, M., & Short, L. (2000). The veil of experience: Do consumers prefer what they know best? Health Economics, 9(3), 267–270.

    Article  CAS  Google Scholar 

  • Schneider, P. (2004). Why should the poor insure? Theories of decision-making in the context of health insurance. Health Policy and Planning, 19(6), 349–355.

    Article  Google Scholar 

  • Wado, Y. D. (2013). Women’s autonomy and reproductive healthcare-seeking behavior in Ethiopia. In DHS Working Papers No. 91. United States Agency for International Development.

  • Wagner, A. K., Graves, A. J., Reiss, S. K., LeCates, R., Zhang, F., & Ross-Degnan, D. (2011). Access to care and medicines, burden of health care expenditures, and risk protection: Results from the World Health Survey. Health Policy, 100(2–3), 151–158.

    Article  Google Scholar 

  • Wang, W., Temsah, G., & Mallick, L. (2017). The impact of health insurance on maternal health care utilization: Evidence from Ghana, Indonesia and Rwanda. Health Policy and Planning, 32(3), 366–375.

    PubMed  Google Scholar 

  • WHO (2014). WHO recomendations on postnatal care of the mother and newborn. In World Health Organization. Retrieved 20th May 2019. https://apps.who.int/iris/bitstream/10665/97603/1/9789241506649_eng.pdf

  • WHO (2019a). Maternal mortality. https://www.who.int/news-room/fact-sheets/detail/maternal-mortality. Retrieved 20th May 2020.

  • WHO. (2019b). Trends in maternal mortality 2000–2017. Geneva, Switzerland: In World Health Organization.

    Google Scholar 

  • WHO & UNICEF (2012) Building a future for women and children count down to 2015 maternal, newborn and child survival, the 2012 report. Geneva: World Health Organization.

Download references

Acknowledgements

The content is solely the responsibility of the authors. The authors are grateful to DHS and the Ghana Statistical Services, for granting permission to use GDHS 2014 and GDHS 2008 datasets.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Richard Agbanyo.

Ethics declarations

Conflict of interest

The authors declare that there were no conflicts of interest.

Ethical approval

The study used secondary data accessed from the Demographic and Health Survey.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendix

Appendix

See Table 5.

Table 5 Factors influencing facility delivery—Conditional Mixed Process (CMP) and multinomial probit regression coefficients–(coefficients)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Agbanyo, R., Peprah, J.A. National health insurance and the choice of delivery facility among expectant mothers in Ghana. Int J Health Econ Manag. 21, 27–49 (2021). https://doi.org/10.1007/s10754-020-09288-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10754-020-09288-w

Keywords

JEL Classification

Navigation