IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v302y2022ics0277953622002854.html
   My bibliography  Save this article

A standardized approach for measuring multivariate equity in vaccination coverage, cost-of-illness, and health outcomes: Evidence from the Vaccine Economics Research for Sustainability & Equity (VERSE) project

Author

Listed:
  • Patenaude, Bryan
  • Odihi, Deborah
  • Sriudomporn, Salin
  • Mak, Joshua
  • Watts, Elizabeth
  • de Broucker, Gatien

Abstract

Following a call from the World Health Organization in 2017 for a methodology to monitor immunization coverage equity in line with the 2030 Agenda for Sustainable Development, this study outlines a standardized approach for measuring multivariate equity in vaccine coverage, economic impact, and health outcomes. The Vaccine Economics Research for Sustainability & Equity (VERSE) composite vaccination equity measurement approach is derived from literature on the measurement of socioeconomic inequality combined with measures of direct unfairness in healthcare access. The final metrics take the form of a concentration index for vaccination coverage where individuals are ranked by multivariate unfairness in access and an absolute equity gap representing the difference in coverage between the top and bottom quintiles of individuals ranked by multivariate unfairness in access. Regression decomposition is applied to the concentration index to determine each factor's relative influence on observed inequity. These methods are applied to India's National Family Health Survey (NFHS) from 2015 to 2016 to assess the equity in being fully-immunized for age vaccination coverage and zero-dose status. The multivariate absolute equity gap is 0.120 (SE: 003) and 0.371 (SE: 0.008) for zero-dose status and fully-immunized for age, respectively. Therefore, the most disadvantaged quintile is 12 percentage points more likely to be zero-dose than the most advantaged quintile and 37.1 percentage points less likely to be fully immunized. The primary correlate of unfair disadvantage for both outcomes is maternal education accounting for 27.4% and 19.1% of observed inequality. The VERSE model provides a standardized approach for measuring multivariate vaccine coverage equity. It also allows policymakers to determine the relative magnitude of factors influencing multivariate equity rather than only the correlates of socioeconomic or bivariate equity. This framework could be adapted to track equitable progress toward Universal Health Coverage (UHC) or outcomes beyond the vaccine space.

Suggested Citation

  • Patenaude, Bryan & Odihi, Deborah & Sriudomporn, Salin & Mak, Joshua & Watts, Elizabeth & de Broucker, Gatien, 2022. "A standardized approach for measuring multivariate equity in vaccination coverage, cost-of-illness, and health outcomes: Evidence from the Vaccine Economics Research for Sustainability & Equity (VERSE," Social Science & Medicine, Elsevier, vol. 302(C).
  • Handle: RePEc:eee:socmed:v:302:y:2022:i:c:s0277953622002854
    DOI: 10.1016/j.socscimed.2022.114979
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953622002854
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socscimed.2022.114979?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    2. Fleurbaey, Marc & Schokkaert, Erik, 2009. "Unfair inequalities in health and health care," Journal of Health Economics, Elsevier, vol. 28(1), pages 73-90, January.
    3. FLEURBAEY, Marc & SCHOKKAERT, Erik, 2011. "Equity in health and health care," LIDAM Discussion Papers CORE 2011026, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    4. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    5. Adam Wagstaff, 2011. "The concentration index of a binary outcome revisited," Health Economics, John Wiley & Sons, Ltd., vol. 20(10), pages 1155-1160, October.
    6. Barbosa, Estela Capelas & Cookson, Richard, 2019. "Multiple inequity in health care: An example from Brazil," Social Science & Medicine, Elsevier, vol. 228(C), pages 1-8.
    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. Van de Poel, Ellen & Van Doorslaer, Eddy & O’Donnell, Owen, 2012. "Measurement of inequity in health care with heterogeneous response of use to need," Journal of Health Economics, Elsevier, vol. 31(4), pages 676-689.
    2. Aizawa, Toshiaki, 2019. "Ex-ante Inequality of Opportunity in Child Malnutrition: New Evidence from Ten Developing Countries in Asia," Economics & Human Biology, Elsevier, vol. 35(C), pages 144-161.
    3. Chao Ma & Ze Song & Qingqing Zong, 2021. "Urban-Rural Inequality of Opportunity in Health Care: Evidence from China," IJERPH, MDPI, vol. 18(15), pages 1-13, July.
    4. Barbosa, Estela Capelas & Cookson, Richard, 2019. "Multiple inequity in health care: An example from Brazil," Social Science & Medicine, Elsevier, vol. 228(C), pages 1-8.
    5. Hashmi, Rubayyat & Alam, Khorshed & Gow, Jeff, 2020. "Socioeconomic inequalities in mental health in Australia: Explaining life shock exposure," Health Policy, Elsevier, vol. 124(1), pages 97-105.
    6. Sun, Jiawei & Ma, Chao & Song, Ze & Gu, Hai, 2013. "Inequality of Opportunity in Health Care in China: Suggestion on the Construction of the Urban-Rural Integrated Medical Insurance System," MPRA Paper 49389, University Library of Munich, Germany.
    7. Chandan Sharma & Sudharshan Reddy Paramati, 2018. "Measuring Inequality of Opportunity for the Backward Communities: Regional Evidence from the Indian Labour Market," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 138(2), pages 479-503, July.
    8. Mohammad Habibullah Pulok & Kees Gool & Mohammad Hajizadeh & Sara Allin & Jane Hall, 2020. "Measuring horizontal inequity in healthcare utilisation: a review of methodological developments and debates," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(2), pages 171-180, March.
    9. Eric French & Elaine Kelly & Richard Cookson & Carol Propper & Miqdad Asaria & Rosalind Raine, 2016. "Socio‐Economic Inequalities in Health Care in England," Fiscal Studies, Institute for Fiscal Studies, vol. 37, pages 371-403, September.
    10. 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.
    11. 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.
    12. Marco Caliendo & Frank M. Fossen & Alexander Kritikos & Miriam Wetter, 2015. "The Gender Gap in Entrepreneurship: Not just a Matter of Personality," CESifo Economic Studies, CESifo Group, vol. 61(1), pages 202-238.
    13. Alison L. Booth, 2006. "The Glass Ceiling in Europe: Why Are Women Doing Badly in the Labour Market?," CEPR Discussion Papers 542, Centre for Economic Policy Research, Research School of Economics, Australian National University.
    14. Valentine Fays & Benoît Mahy & François Rycx, 2023. "Wage differences according to workers' origin: The role of working more upstream in GVCs," LABOUR, CEIS, vol. 37(2), pages 319-342, June.
    15. Michael E. Martell & Peyton Nash, 2020. "For Love and Money? Earnings and Marriage Among Same-Sex Couples," Journal of Labor Research, Springer, vol. 41(3), pages 260-294, September.
    16. Howard Bodenhorn & Christopher Ruebeck, 2007. "Colourism and African–american wealth: evidence from the nineteenth-century south," Journal of Population Economics, Springer;European Society for Population Economics, vol. 20(3), pages 599-620, July.
    17. Huong Thu Le & Ha Trong Nguyen, 2018. "The evolution of the gender test score gap through seventh grade: new insights from Australia using unconditional quantile regression and decomposition," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-42, December.
    18. Ward-Warmedinger, Melanie E., 1999. "Salary and the Gender Salary Gap in the Academic Profession," IZA Discussion Papers 64, Institute of Labor Economics (IZA).
    19. Sieds, 2017. "Complete Volume LXXI n. 3 2017," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 71(3), pages 1-150, July-Sept.
    20. Ilhom Abdulloev & Ira N Gang & Myeong-Su Yun, 2014. "Migration, Education and the Gender Gap in Labour Force Participation," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 26(4), pages 509-526, September.

    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:302:y:2022:i:c:s0277953622002854. 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.