IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v379y2025ics0277953625004885.html

Excess neonatal mortality among private facility births in rural parts of high-mortality states of India: Demographic analysis of a national survey

Author

Listed:
  • Coffey, Diane
  • Srivastav, Nikhil
  • Priya, Aditi
  • Verma, Asmita
  • Franz, Nathan
  • Kumar, Alok
  • Spears, Dean

Abstract

Almost one-fourth of neonatal deaths occur in India, many of them in the Empowered Action Group (EAG) states. Research has compared facility births with home births, with limited investigation of mortality differences between births at public and private facilities. We ask how early-life mortality in the rural population of the EAG states and the rest of India differs according to the setting of birth. We consider whether quality of care can help explain the differences we find. Using rural births in India's 2019-21 Demographic and Health Survey, we find that in the rural population of EAG states, neonatal mortality among private facility births is 44 per 1000 (95 % CI: 40–48), compared with 29 per 1000 in public facilities (95 % CI: 27–30) and 38 per 1000 for home births (95 % CI: 34–41). Standardization by socioeconomic status increases the public-private gap. These differences persist even stratifying on key predictors of neonatal mortality. The excess mortality among births to the rural population in private facilities, compared with public facilities, accounts for about 43,000 excess neonatal deaths annually in EAG states. Evidence suggests that low-quality care is among the important causes. Most births in India now occur in facilities. Many happen in private facilities run by providers who lack training, resources, and legal permission. The quality of private health facilities serving the rural EAG population appears to be particularly poor.

Suggested Citation

  • Coffey, Diane & Srivastav, Nikhil & Priya, Aditi & Verma, Asmita & Franz, Nathan & Kumar, Alok & Spears, Dean, 2025. "Excess neonatal mortality among private facility births in rural parts of high-mortality states of India: Demographic analysis of a national survey," Social Science & Medicine, Elsevier, vol. 379(C).
  • Handle: RePEc:eee:socmed:v:379:y:2025:i:c:s0277953625004885
    DOI: 10.1016/j.socscimed.2025.118158
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953625004885
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socscimed.2025.118158?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Michael Geruso, 2012. "Black-White Disparities in Life Expectancy: How Much Can the Standard SES Variables Explain?," Demography, Springer;Population Association of America (PAA), vol. 49(2), pages 553-574, May.
    2. Chalasani, Satvika, 2012. "Understanding wealth-based inequalities in child health in India: A decomposition approach," Social Science & Medicine, Elsevier, vol. 75(12), pages 2160-2169.
    3. Michael Geruso & Dean Spears, 2018. "Neighborhood Sanitation and Infant Mortality," American Economic Journal: Applied Economics, American Economic Association, vol. 10(2), pages 125-162, April.
    4. Bhatia, M. & Dwivedi, L.K. & Banerjee, K. & Dixit, P., 2020. "An epidemic of avoidable caesarean deliveries in the private sector in India: Is physician-induced demand at play?," Social Science & Medicine, Elsevier, vol. 265(C).
    5. Coffey, Diane, 2014. "Costs and consequences of a cash transfer for hospital births in a rural district of Uttar Pradesh, India," Social Science & Medicine, Elsevier, vol. 114(C), pages 89-96.
    6. DiNardo, John & Fortin, Nicole M & Lemieux, Thomas, 1996. "Labor Market Institutions and the Distribution of Wages, 1973-1992: A Semiparametric Approach," Econometrica, Econometric Society, vol. 64(5), pages 1001-1044, September.
    7. Jishnu Das & Jeffrey Hammer & Kenneth Leonard, 2008. "The Quality of Medical Advice in Low-Income Countries," Journal of Economic Perspectives, American Economic Association, vol. 22(2), pages 93-114, Spring.
    8. Emily R Smith & Lisa Hurt & Ranadip Chowdhury & Bireshwar Sinha & Wafaie Fawzi & Karen M Edmond & on behalf of the Neovita Study Group, 2017. "Delayed breastfeeding initiation and infant survival: A systematic review and meta-analysis," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-16, July.
    9. Paul, Sohini & Paul, Sourabh & Gupta, Ashish Kumar & James, K.S., 2022. "Maternal education, health care system and child health: Evidence from India," Social Science & Medicine, Elsevier, vol. 296(C).
    10. Diane Coffey & Payal Hathi, 2016. "Underweight and Pregnant: Designing Universal Maternity Entitlements to Improve Health," Indian Journal of Human Development, , vol. 10(2), pages 176-190, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Spears, Dean, 2020. "Exposure to open defecation can account for the Indian enigma of child height," Journal of Development Economics, Elsevier, vol. 146(C).
    2. Diane Coffey & Ashwini Deshpande & Jeffrey Hammer & Dean Spears, 2019. "Local Social Inequality, Economic Inequality, and Disparities in Child Height in India," Demography, Springer;Population Association of America (PAA), vol. 56(4), pages 1427-1452, August.
    3. Vyas, Sangita & Kov, Phyrum & Smets, Susanna & Spears, Dean, 2016. "Disease externalities and net nutrition: Evidence from changes in sanitation and child height in Cambodia, 2005–2010," Economics & Human Biology, Elsevier, vol. 23(C), pages 235-245.
    4. Coffey, Diane & Spears, Dean, 2019. "Neonatal Death in India: Birth Order in a Context of Maternal Undernutrition," IZA Discussion Papers 12288, IZA Network @ LISER.
    5. repec:osf:socarx:x4rv7_v1 is not listed on IDEAS
    6. Aashish Gupta & Diane Coffey, 2020. "Caste, Religion, and Mental Health in India," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 39(6), pages 1119-1141, December.
    7. Michael Geruso & Dean Spears, 2018. "Neighborhood Sanitation and Infant Mortality," American Economic Journal: Applied Economics, American Economic Association, vol. 10(2), pages 125-162, April.
    8. Yuriy Pylypchuk & James B. Kirby, 2017. "The role of marriage in explaining racial and ethnic disparities in access to health care for men in the US," Review of Economics of the Household, Springer, vol. 15(3), pages 807-832, September.
    9. Afridi, Farzana & Dinkelman, Taryn & Mahajan, Kanika, 2016. "Why Are Fewer Married Women Joining the Work Force in India? A Decomposition Analysis over Two Decades," IZA Discussion Papers 9722, IZA Network @ LISER.
    10. Farzana Afridi & Taryn Dinkelman & Kanika Mahajan, 2018. "Why are fewer married women joining the work force in rural India? A decomposition analysis over two decades," Journal of Population Economics, Springer;European Society for Population Economics, vol. 31(3), pages 783-818, July.
    11. Kajori Banerjee & Laxmi Kant Dwivedi, 2020. "Disparity in childhood stunting in India: Relative importance of community-level nutrition and sanitary practices," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-21, September.
    12. Gupta, Aashish, 2020. "Seasonal variation in infant mortality in India," SocArXiv x4rv7, Center for Open Science.
    13. Abhishek Kumar & Aditya Singh, 2013. "Decomposing the Gap in Childhood Undernutrition between Poor and Non–Poor in Urban India, 2005–06," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-9, May.
    14. Thomas Y. Mathä & Alessandro Porpiglia & Michael Ziegelmeyer, 2014. "Wealth differences across borders and the effect of real estate price dynamics: Evidence from two household surveys," BCL working papers 90, Central Bank of Luxembourg.
    15. Mao, Minghai & Raiola, Antonio & Yang, Da, 2025. "Double machine learning for Oaxaca-Blinder decomposition," Economics Letters, Elsevier, vol. 255(C).
    16. Xiaodong Dong & Junling Zhao & Ziyin Zhao & Can Su & Xiaochen Ma, 2026. "Reducing Primary Healthcare Bypass Behaviour: A Discrete Choice Experiment Study Exploring the Preferences for Primary Eye Care Services in Rural Xinjiang," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 19(2), pages 313-328, March.
    17. Matias Busso & Patrick Kline, 2008. "Do Local Economic Development Programs Work? Evidence from the Federal Empowerment Zone Program," Cowles Foundation Discussion Papers 1639, Cowles Foundation for Research in Economics, Yale University.
    18. Zsófia L. Bárány, 2016. "The Minimum Wage and Inequality: The Effects of Education and Technology," Journal of Labor Economics, University of Chicago Press, vol. 34(1), pages 237-274.
    19. Gabriella Conti & Kosuke Imai & Cynthia Kinnan & Anup Malani & Morgen Miller & Shailender Swaminathan & Alessandra Voena & Bartosz Woda, 2024. "Evaluating pricing health insurance in lower-income countries: A field experiment in India," IFS Working Papers W24/33, Institute for Fiscal Studies.
    20. Corak, Miles & Lauzon, Darren, 2009. "Differences in the distribution of high school achievement: The role of class-size and time-in-term," Economics of Education Review, Elsevier, vol. 28(2), pages 189-198, April.
    21. Richard V. Burkhauser & Shuaizhang Feng & Stephen P. Jenkins, 2009. "Using The P90/P10 Index To Measure U.S. Inequality Trends With Current Population Survey Data: A View From Inside The Census Bureau Vaults," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(1), pages 166-185, March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:socmed:v:379:y:2025:i:c:s0277953625004885. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.