IDEAS home Printed from https://ideas.repec.org/p/zbw/glodps/727.html
   My bibliography  Save this paper

Unmet health care need and income-related horizontal equity in access during the COVID-19 pandemic

Author

Listed:
  • Davillas, Apostolos
  • Jones, Andrew M.

Abstract

Using monthly data from the Understanding Society (UKHLS) COVID-19 Survey we analyse the evolution of unmet need and assess how the UK health care system performed against the norm of horizontal equity in health care access during the first wave of COVID-19 wave. Unmet need was most evident for hospital care, and less pronounced for primary health services (medical helplines, GP consultations, local pharmacist advice, over the counter medications and prescriptions). Despite this, there is no evidence that horizontal equity, with respect to income, was violated for NHS hospital outpatient and inpatient care during the first wave of the pandemic. There is evidence of pro-rich inequities in access to GP consultations, prescriptions and medical helplines at the peak of the first wave, but these were eliminated as the pandemic progressed. There are persistent pro-rich inequities for services that relate to individuals' ability to pay (over the counter medications and advice from the local pharmacist).

Suggested Citation

  • Davillas, Apostolos & Jones, Andrew M., 2020. "Unmet health care need and income-related horizontal equity in access during the COVID-19 pandemic," GLO Discussion Paper Series 727, Global Labor Organization (GLO).
  • Handle: RePEc:zbw:glodps:727
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/226656/1/GLO-DP-0727.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Erreygers, Guido, 2009. "Correcting the Concentration Index: A reply to Wagstaff," Journal of Health Economics, Elsevier, vol. 28(2), pages 521-524, March.
    3. Erreygers, Guido & Van Ourti, Tom, 2011. "Measuring socioeconomic inequality in health, health care and health financing by means of rank-dependent indices: A recipe for good practice," Journal of Health Economics, Elsevier, vol. 30(4), pages 685-694, July.
    4. Bago d'Uva, Teresa & Jones, Andrew M. & van Doorslaer, Eddy, 2009. "Measurement of horizontal inequity in health care utilisation using European panel data," Journal of Health Economics, Elsevier, vol. 28(2), pages 280-289, March.
    5. Adam Wagstaff, 2005. "The bounds of the concentration index when the variable of interest is binary, with an application to immunization inequality," Health Economics, John Wiley & Sons, Ltd., vol. 14(4), pages 429-432, April.
    6. Erreygers, Guido, 2009. "Correcting the Concentration Index," Journal of Health Economics, Elsevier, vol. 28(2), pages 504-515, March.
    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. Carrieri, Vincenzo & Wuebker, Ansgar, 2013. "Assessing inequalities in preventive care use in Europe," Health Policy, Elsevier, vol. 113(3), pages 247-257.
    2. 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).
    3. Carrieri, V. & Wuebker, A., 2012. "Assessing inequalities in preventive care use in Europe: A special case of health-care inequalities?," Health, Econometrics and Data Group (HEDG) Working Papers 12/25, HEDG, c/o Department of Economics, University of York.
    4. Apostolos Davillas & Andrew M. Jones, 2021. "Unmet health care need and income‐Related horizontal equity in use of health care during the COVID‐19 pandemic," Health Economics, John Wiley & Sons, Ltd., vol. 30(7), pages 1711-1716, July.
    5. 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.
    6. Pulok, Mohammad Habibullah & van Gool, Kees & Hall, Jane, 2020. "Horizontal inequity in the utilisation of healthcare services in Australia," Health Policy, Elsevier, vol. 124(11), pages 1263-1271.
    7. Roselinde Kessels & Guido Erreygers, 2019. "A direct regression approach to decomposing socioeconomic inequality of health," Health Economics, John Wiley & Sons, Ltd., vol. 28(7), pages 884-905, July.
    8. Adam Wagstaff, 2011. "The concentration index of a binary outcome revisited," Health Economics, John Wiley & Sons, Ltd., vol. 20(10), pages 1155-1160, October.
    9. Kjellsson, Gustav & Gerdtham, Ulf-G., 2013. "On correcting the concentration index for binary variables," Journal of Health Economics, Elsevier, vol. 32(3), pages 659-670.
    10. Aristides dos Santos, Anderson Moreira & Perelman, Julian & Jacinto, Paulo de Andrade & Tejada, Cesar Augusto Oviedo & Barros, Aluísio J.D. & Bertoldi, Andréa D. & Matijasevich, Alicia & Santos, Iná S, 2019. "Income-related inequality and inequity in children’s health care: A longitudinal analysis using data from Brazil," Social Science & Medicine, Elsevier, vol. 224(C), pages 127-137.
    11. Guido Erreygers & Roselinde Kessels, 2017. "Socioeconomic Status and Health: A New Approach to the Measurement of Bivariate Inequality," IJERPH, MDPI, vol. 14(7), pages 1-23, June.
    12. Makdissi, Paul & Yazbeck, Myra, 2014. "Measuring socioeconomic health inequalities in presence of multiple categorical information," Journal of Health Economics, Elsevier, vol. 34(C), pages 84-95.
    13. Kristof Bosmans, 2016. "Consistent Comparisons of Attainment and Shortfall Inequality: A Critical Examination," Health Economics, John Wiley & Sons, Ltd., vol. 25(11), pages 1425-1432, November.
    14. Eliana Barrenho & Marisa Miraldo & Peter C. Smith, 2019. "Does global drug innovation correspond to burden of disease? The neglected diseases in developed and developing countries," Health Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 123-143, January.
    15. Costa-Font, Joan & Hernández-Quevedo, Cristina, 2012. "Measuring inequalities in health: What do we know? What do we need to know?," Health Policy, Elsevier, vol. 106(2), pages 195-206.
    16. García-Gómez, Pilar & Hernández-Quevedo, Cristina & Jiménez-Rubio, Dolores & Oliva-Moreno, Juan, 2015. "Inequity in long-term care use and unmet need: Two sides of the same coin," Journal of Health Economics, Elsevier, vol. 39(C), pages 147-158.
    17. Paul Allanson & Dennis Petrie, 2013. "On The Choice Of Health Inequality Measure For The Longitudinal Analysis Of Income‐Related Health Inequalities," Health Economics, John Wiley & Sons, Ltd., vol. 22(3), pages 353-365, March.
    18. Pulok, Mohammad Habibullah & Hajizadeh, Mohammad, 2022. "Equity in the use of physician services in Canada's universal health system: A longitudinal analysis of older adults," Social Science & Medicine, Elsevier, vol. 307(C).
    19. Peng Nie & Andrew E. Clarck & Conchita D'Ambrosio & Lanlin Ding, 2020. "Income-related health inequality in urban China (1991-2015): The role of homeownership and housing conditions," Working Papers 524, ECINEQ, Society for the Study of Economic Inequality.
    20. Kjellsson, Gustav, 2014. "Extending Decomposition Analysis to Account for Socioeconomic Background: Income-Related Smoking Inequality among Swedish Women," Working Papers 2014:29, Lund University, Department of Economics.

    More about this item

    Keywords

    inequity; COVID-19; unmet need; health care; UKHLS;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:zbw:glodps:727. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/glabode.html .

    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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/glabode.html .

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.