AccScience Publishing / GHES / Online First / DOI: 10.36922/ghes.3324
ORIGINAL RESEARCH ARTICLE

Income inequalities in maternal health-care service utilization in India: Applying the Blinder–Oaxaca decomposition method

Madhurima Ghosh1 Arvind Kumar Yadav2* Bhavna Sahni3
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1 Department of Economics, CHRIST (Deemed to be University), Yeshwantpur Campus, Bangalore, Karnataka, India
2 Department of Economics, School of Economics and Commerce, Kalinga Institute of Industrial Technology, KIIT, Deemed to be University, Bhubaneswar, Khordha, Odisha, India
3 Department of Community Medicine, ASCOMS and Hospitals, Sidhra, Jammu, Jammu and Kashmir, India
Submitted: 29 March 2024 | Accepted: 20 June 2024 | Published: 30 September 2024
© 2024 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

Maternal health-care service (MHCS) utilization is a crucial indicator of a country’s progress in protecting the health and well-being of its women and children. This paper examines trends, patterns, determinants, and disparities in MHCS utilization between the poorest and richest women in India’s Empowered Action Group. The study used data from the second (1998 – 1999), third (2005 – 2006), fourth (2015 – 2016), and fifth (2019 – 2021) rounds of the National Family Health Survey. A logistic regression model was applied to assess MHCS utilization, and the Blinder–Oaxaca decomposition method (BODM) was used to explain inequalities in utilization between the poorest and richest women. The findings indicate that MHCS utilization has increased over the years among both groups. However, the utilization rate is higher among the poorest women. Furthermore, rural women are less likely to utilize MHCS compared to urban women. Key determinants include women’s education, their partners’ education, mass media exposure (MME), and women’s empowerment. The BODM results show that although MHCS utilization has increased among both groups, inequalities persist, largely explained by coefficient effects. A trend analysis reveals a reduction in discrimination between the poorest and richest women over time. Women’s education, MME, and autonomy are the key factors driving the reduction of inequalities. There is a need for comprehensive strategies to enhance education among disadvantaged women, increase MME, and promote health awareness. The government should empower women through incentives, such as cash benefits, to ensure higher MHCS utilization among poorer women.

Keywords
Antenatal care
Skilled birth attendance
Postnatal care
Blinder–Oaxaca decomposition method
Empower action group states
Funding
None.
Conflict of interest
The authors declare that they have no competing interests.
References

Alam, N., Hajizadeh, M., Dumont, A., & Fournier, P. (2015). Inequalities in maternal health care utilization in sub- Saharan African countries: A multiyear and multi-country analysis. PLoS One, 10(4):e0120922. https://doi.org/10.1371/journal.pone.0120922

 

Bango, M., & Ghosh, S. (2022). Social and regional disparities in utilization of maternal and child healthcare services in India: A study of the post-national health mission period. Frontiers in Pediatrics, 10:895033. https://doi.org/10.3389/fped.2022.895033

 

Bhanderi, M.N., & Srinivasan, K. (2015). Utilization of maternal health services and determinants of skilled care during delivery in slums of Gujarat, India. Obstetrics and Gynecology International Journal, 2015(1):1-9. https://doi.org/10.5171/2015.293492

 

Bhatta, D.N., & Aryal, U.R. (2015). Paternal factors and inequity associated with access to maternal health care service utilization in Nepal: A community based cross-sectional study. PLoS One, 10(6):e0130380. https://doi.org/10.1371/journal.pone.0130380

 

Bhowmik, J., Biswas, R.K., & Ananna, N. (2020). Women’s education and coverage of skilled birth attendance: An assessment of sustainable development Goal 3.1 in the south and Southeast Asian Region. PLoS One, 15(4):e0231489. https://doi.org/10.1371/journal.pone.0231489

 

Bhusal, U.P. (2021). Predictors of wealth-related inequality in institutional delivery: A decomposition analysis using Nepal multiple Indicator cluster survey (MICS) 2019. BMC Public Health, 21(1):2246. https://doi.org/10.1186/s12889-021-12287-2

 

Blinder, A.S. (1973). Wage discrimination: Reduced form and structural estimates. Journal of Human Resources, 8:436-455. https://doi.org/10.2307/144855

 

Blumenberg, C., Costa, J.C., Ricardo, L.I., Jacobs, C., Ferreira, L.Z., Vidaletti, L.P., et al. (2023). Coverage, trends, and inequalities of maternal, newborn, and child health indicators among the poor and non-poor in the most populous cities from 38 Sub- Saharan African countries. Journal of Urban Health, 1-14. https://doi.org/10.1007/s11524-023-00806-y

 

Chauhan, B.G., Sivanandan, V., Singh, M.N., & Ojha, D.K. (2021). Inequalities and trends in maternal health care services utilization in India, 1992-2016: Strategies in the Search for Improvements. Demography India, 50:65-87.

 

Do, N., Tran, H.T.G., Phonvisay, A., & Oh, J. (2018). Trends of socioeconomic inequality in using maternal health care services in Lao People’s democratic republic from year 2000 to 2012. BMC Public Health, 18:875. https://doi.org/10.1186/s12889-018-5811-0

 

Donnay, F. (2000). Maternal survival in developing countries: What has been done, what can be achieved in the next decade. International Journal of Gynecology and Obstetrics, 70(1):89-97. https://doi.org/10.1016/S0020-7292(00)00236-8

 

Fatema, K., & Lariscy, J.T. (2020). Mass media exposure and maternal healthcare utilization in South Asia. SSM-Population Health, 11:100614. https://doi.org/10.1016/j.ssmph.2020.100614

 

Jeffery, P., & Jeffery, R. (2010). Only when the boat has started sinking: A maternal death in rural north India. Social Science and Medicine, 71(10):1711-1718. https://doi.org/10.1016/j.socscimed.2010.05.002

 

Khalil, A., Samara, A., O’Brien, P., Coutinho, C.M., Quintana, S.M., & Ladhani, S.N. (2023). A call to action: The global failure to effectively tackle maternal mortality rates. The Lancet Global Health, 11(8):e1165-e1167. https://doi.org/10.1016/S2214-109X(23)00247-4

 

Kumar, R., & Paswan, B. (2021). Changes in socio-economic inequality in nutritional status among children in EAG states, India. Public Health Nutrition, 24(6):1304-1317. https://doi.org/10.1017/S1368980021000343

 

Kumar, S. (2010). Reducing maternal mortality in India: Policy, equity, and quality issues. Indian Journal of Public Health, 54(2):57-64. https://doi.org/10.4103/0019-557X.73271

 

Liddle, B., & Messinis, G. (2015). Which comes first-urbanization or economic growth? Evidence from heterogeneous panel causality tests. Applied Economics Letters, 22(5):349-355. https://doi.org/10.1080/13504851.2014.943877

 

Lozano, R., Wang, H., Foreman, K.J., Rajaratnam, J.K., Naghavi, M., Marcus, J.R., et al. (2011). Progress towards Millennium Development Goals 4 and 5 on maternal and child mortality: An updated systematic analysis. The Lancet, 378(9797):1139-1165. https://doi.org/10.1016/S0140-6736(11)61337-8

 

Mehta, B.S., Alambusha, R., Misra, A., Mehta, N., & Madan, A. (2023). Assessment of utilisation of government programmes and services by pregnant women in India. PLoS One, 18(10):e0285715. https://doi.org/10.1371/journal.pone.0285715

 

Neumark, D. (1988). “Employers” discriminatory behavior and estimation of wage discrimination. Journal of Human Resource, 23(3):279-295. https://doi.org/10.2307/145830

 

Oaxaca, R. (1973). Male-female wage differentials in urban labor markets. International Economic Review, 14:693-709. https://doi.org/10.2307/2525981

 

Oaxaca, R.L., & Ransom, M.R. (1988). Searching for the effect of unionism on the wages of union. Journal of Labor Research, 9(2):139.

 

Ogu, R.N., Agholor, K.N., & Okonofua, F.E. (2016). Engendering the attainment of the SDG-3 in Africa: overcoming the socio-cultural factors contributing to maternal mortality. African Journal of Reproductive Health, 20(3):62-74. https://doi.org/10.29063/ajrh2016/v20i3.11

 

Pathak, P.K., Singh, A., & Subramanian, S.V. (2010). Economic inequalities in maternal health care: Prenatal care and skilled birth attendance in India, 1992-2006. PLoS One, 5(10):e13593. https://doi.org/10.1371/journal.pone.0013593

 

Paul, P., & Chouhan, P. (2020). Socio-demographic factors influencing utilization of maternal health care services in India. Clinical Epidemiology and Global Health, 8(3):666-670. https://doi.org/10.1016/j.cegh.2019.12.023

 

Say, L., Chou, D., Gemmill, A., Tunçalp, Ö., Moller, A.B., Daniels, J., Gülmezoglu, A.M., et al. (2014). Global causes of maternal death: A WHO systematic analysis. The Lancet Global Health, 2(6):e323-e333. https://doi.org/10.1016/S2214-109X(14)70227-X

 

Singh, L., Rai, R.K., & Singh, P.K. (2012). Assessing the utilization of maternal and child health care among married adolescent women: Evidence from India. Journal of Biosocial Science, 44(1):1-26. https://doi.org/10.1017/S0021932011000472

 

Sohn, M., & Jung, M. (2020). Effects of empowerment and media use by women of childbearing age on maternal health care utilization in developing countries of Southeast Asia. International Journal of Health Services, 50(1):32-43. https://doi.org/10.1177/0020731419867532

 

SRS. (2020). Special Bulletin on Maternal Mortality in India 2018-20. Available from: https://censusindia.gov.in/nada/ index.php/catalog/44379 [Last accessed on 2024 Sep 26].

 

Totade, M., Gaidhane, A., & Sahu, P. (2023). Interventions in maternal anaemia to reduce maternal mortality rate across India. Cureus, 15(10):1-10. https://doi.org/10.7759/cureus.46617

 

UNICEF. (2024). Available from: https://www.unicef.org/ afghanistan/health [Last accessed on 2024 Sep 19].

 

WHO, UNICEF, & World Bank Group. (2020). Trends in Maternal Mortality 2000 to 2017. file:///C:/Users/DELL/ Downloads/9789241516488-eng.pdf [Last accessed on 2024 Sep 19].

 

WHO. (2021). Available from: https://data.worldbank.org/ indicator/SH.STA.MMRT?locations=PL [Last accessed on 2024 Sep 26].

 

WHO. (2023). Available from: https://data.who.int/indicators/i/ C071DCB/AC597B1 [Last accessed on 2024 Sep 19].

 

Yadav, A.K., & Jena, P.K. (2020). Maternal health outcomes of socially marginalized groups in India. International Journal of Health Care Quality Assurance, 33(2):172-188. https://doi.org/10.1108/IJHCQA-08-2018-0212

 

Yadav, A.K., & Jena, P.K. (2022). Explaining changing patterns and inequalities in maternal healthcare services utilization in India. Journal of Public Affairs, 22(3):e2570. https://doi.org/10.1002/pa.2570

 

Yadav, A.K., Jena, P.K., Sahni, B., & Mukhopadhyay, D. (2021). Comparative study on maternal healthcare services utilisation in selected empowered action group states of India. Health and Social Care in the Community, 29(6):1948-1959. https://doi.org/10.1111/hsc.13309

 

Yadav, A.K., Sahni, B., & Jena, P.K. (2021). Education, employment, economic status and empowerment: Implications for maternal health care services utilization in India. Journal of Public Affairs, 21(3):e2259. https://doi.org/10.1002/pa.2259

 

Yadav, A.K., Sahni, B., Kumar, D., Bala, K., & Kalotra, A. (2021). Effect of women’s and partners’ education on maternal health-care services utilization in five empowered action group States of India: An analysis of 13,443 women of reproductive age. International Journal of Applied and Basic Medical Research, 11(4):231. https://doi.org/10.4103/ijabmr.ijabmr_121_21

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Global Health Economics and Sustainability, Electronic ISSN: 2972-4570 Published by AccScience Publishing