IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0174823.html
   My bibliography  Save this article

Socioeconomic inequalities in skilled birth attendance and child stunting in selected low and middle income countries: Wealth quintiles or deciles?

Author

Listed:
  • Kerry L M Wong
  • María Clara Restrepo-Méndez
  • Aluísio J D Barros
  • Cesar G Victora

Abstract

Background: Wealth quintiles derived from household asset indices are routinely used for measuring socioeconomic inequalities in the health of women and children in low and middle-income countries. We explore whether the use of wealth deciles rather than quintiles may be advantageous. Methods: We selected 46 countries with available national surveys carried out between 2003 and 2013 and with a sample size of at least 3000 children. The outcomes were prevalence of under-five stunting and delivery by a skilled birth attendant (SBA). Differences and ratios between extreme groups for deciles (D1 and D10) and quintiles (Q1 and Q5) were calculated, as well as two summary measures: the slope index of inequality (SII) and concentration index (CIX). Results: In virtually all countries, stunting prevalence was highest among the poor, and there were larger differences between D1 and D10 than between Q1 and Q5. SBA coverage showed pro-rich patterns in all countries; in four countries the gap was greater than 80 pct points. With one exception, differences between extreme deciles were larger than between quintiles. Similar patterns emerged when using ratios instead of differences. The two summary measures provide very similar results for quintiles and deciles. Patterns of top or bottom inequality varied with national coverage levels. Conclusion: Researchers and policymakers should consider breakdowns by wealth deciles, when sample sizes allow. Use of deciles may contribute to advocacy efforts, monitoring inequalities over time, and targeting health interventions. Summary indices of inequalities were unaffected by the use of quintiles or deciles in their calculation.

Suggested Citation

  • Kerry L M Wong & María Clara Restrepo-Méndez & Aluísio J D Barros & Cesar G Victora, 2017. "Socioeconomic inequalities in skilled birth attendance and child stunting in selected low and middle income countries: Wealth quintiles or deciles?," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-17, May.
    • Handle: RePEc:plo:pone00:0174823
    DOI: 10.1371/journal.pone.0174823
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0174823
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0174823&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0174823?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
    ---><---

    References listed on IDEAS

    as
    1. Deon Filmer & Kinnon Scott, 2012. "Assessing Asset Indices," Demography, Springer;Population Association of America (PAA), vol. 49(1), pages 359-392, February.
    2. Wagstaff, Adam & Paci, Pierella & van Doorslaer, Eddy, 1991. "On the measurement of inequalities in health," Social Science & Medicine, Elsevier, vol. 33(5), pages 545-557, January.
    3. Deon Filmer & Lant Pritchett, 2001. "Estimating Wealth Effects Without Expenditure Data—Or Tears: An Application To Educational Enrollments In States Of India," Demography, Springer;Population Association of America (PAA), vol. 38(1), pages 115-132, February.
    4. Aluísio J D Barros & Cesar G Victora, 2013. "Measuring Coverage in MNCH: Determining and Interpreting Inequalities in Coverage of Maternal, Newborn, and Child Health Interventions," PLOS Medicine, Public Library of Science, vol. 10(5), pages 1-9, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wong, Kerry L.M. & Brady, Oliver J. & Campbell, Oona M.R. & Banke-Thomas, Aduragbemi & Benova, Lenka, 2020. "Too poor or too far? Partitioning the variability of hospital-based childbirth by poverty and travel time in Kenya, Malawi, Nigeria and Tanzania," LSE Research Online Documents on Economics 103300, London School of Economics and Political Science, LSE Library.
    2. Conrad Murendo & Gamuchirai Murenje & Pepukai Prince Chivenge & Rumbidzai Mtetwa, 2021. "Financial Inclusion, Nutrition and Socio‐Economic Status Among Rural Households in Guruve and Mount Darwin Districts, Zimbabwe," Journal of International Development, John Wiley & Sons, Ltd., vol. 33(1), pages 86-108, January.

    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. Winters, P. & Kafle, K. & Benfica, R., 2018. "IFAD RESEARCH SERIES 21 - Does relative deprivation induce migration? Evidence from sub-Saharan Africa," IFAD Research Series 280070, International Fund for Agricultural Development (IFAD).
    2. Janina Isabel Steinert & Lucie Dale Cluver & G. J. Melendez-Torres & Sebastian Vollmer, 2018. "One Size Fits All? The Validity of a Composite Poverty Index Across Urban and Rural Households in South Africa," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(1), pages 51-72, February.
    3. Cardenas, Helena & Whittington, Dale, 2019. "The consequences of increasing block tariffs on the distribution of residential electricity subsidies in Addis Ababa, Ethiopia," Energy Policy, Elsevier, vol. 128(C), pages 783-795.
    4. Richard Mussa, 2013. "Spatial Comparisons of Poverty and Inequality in Living Standards in Malawi," South African Journal of Economics, Economic Society of South Africa, vol. 81(2), pages 192-210, June.
    5. Francisco Azpitarte & Gaston Yalonetzky, 2023. "The measurement of asset and wealth poverty," Chapters, in: Jacques Silber (ed.), Research Handbook on Measuring Poverty and Deprivation, chapter 38, pages 410-419, Edward Elgar Publishing.
    6. Mausumi Mahapatro & Deborah Johnston, 2020. "Imperfection Measures and the Production of Poverty: A Case Study of the Use of the Asset Index in Bangladesh," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(2), pages 513-531, November.
    7. Headey, Derek & Hoddinott, John & Ali, Disha & Tesfaye, Roman & Dereje, Mekdim, 2015. "The Other Asian Enigma: Explaining the Rapid Reduction of Undernutrition in Bangladesh," World Development, Elsevier, vol. 66(C), pages 749-761.
    8. Donfouet, Hermann Pythagore Pierre & Mohamed, Shukri F. & Otieno, Peter & Wambiya, Elvis & Mutua, Martin Kavao & Danaei, Goodarz, 2020. "Economic valuation of setting up a social health enterprise in urban poor-resource setting in Kenya," Social Science & Medicine, Elsevier, vol. 266(C).
    9. Schleicher, Michael & Souares, Aurélia & Pacere, Athanase Narangoro & Sauerborn, Rainer & Klonner, Stefan, 2016. "Decentralized versus Statistical Targeting of Anti-Poverty Programs: Evidence from Burkina Faso," Working Papers 0623, University of Heidelberg, Department of Economics.
    10. Hermann Pythagore Pierre Donfouet & Shukri F. Mohamed & Eric Malin, 2021. "Socioeconomic inequality in tobacco use in Kenya: a concentration analysis," International Journal of Health Economics and Management, Springer, vol. 21(2), pages 247-269, June.
    11. Kafle, Kashi & Jolliffe, Dean & Winter-Nelson, Alex, 2018. "Do different types of assets have differential effects on child education? Evidence from Tanzania," World Development, Elsevier, vol. 109(C), pages 14-28.
    12. Maitra, Sudeshna, 2016. "The poor get poorer: Tracking relative poverty in India using a durables-based mixture model," Journal of Development Economics, Elsevier, vol. 119(C), pages 110-120.
    13. Mohamed Arouri & Nguyen Viet Cuong, 2020. "Wealth inequality and inter-governorate migration: Evidence from Egypt," Progress in Development Studies, , vol. 20(2), pages 119-139, April.
    14. Lovaton Davila, Rodrigo & McCarthy, Aine Seitz & Gondwe, Dorothy & Kirdruang, Phatta & Sharma, Uttam, 2022. "Water, walls, and bicycles: wealth index composition using census microdata," Journal of Demographic Economics, Cambridge University Press, vol. 88(1), pages 79-120, March.
    15. Francisco Ferreira & Jérémie Gignoux & Meltem Aran, 2011. "Measuring inequality of opportunity with imperfect data: the case of Turkey," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(4), pages 651-680, December.
    16. 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.
    17. Olufunke Alaba & Lumbwe Chola, 2014. "Socioeconomic Inequalities in Adult Obesity Prevalence in South Africa: A Decomposition Analysis," IJERPH, MDPI, vol. 11(3), pages 1-20, March.
    18. Beegle, Kathleen & Filmer, Deon & Stokes, Andrew & Tiererova, Lucia, 2010. "Orphanhood and the Living Arrangements of Children in Sub-Saharan Africa," World Development, Elsevier, vol. 38(12), pages 1727-1746, December.
    19. Jolliffe, Dean & Baah, Samuel Kofi Tetteh, 2024. "Identifying the poor – Accounting for household economies of scale in global poverty estimates," World Development, Elsevier, vol. 179(C).
    20. Delia Boccia & James Hargreaves & Bianca Lucia De Stavola & Katherine Fielding & Ab Schaap & Peter Godfrey-Faussett & Helen Ayles, 2011. "The Association between Household Socioeconomic Position and Prevalent Tuberculosis in Zambia: A Case-Control Study," PLOS ONE, Public Library of Science, vol. 6(6), pages 1-11, June.

    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:plo:pone00:0174823. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.