IDEAS home Printed from https://ideas.repec.org/a/spr/eujhec/v25y2024i1d10.1007_s10198-023-01569-8.html
   My bibliography  Save this article

COVID-19 and EQ-5D-5L health state valuation

Author

Listed:
  • Edward J. D. Webb

    (Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds)

  • Paul Kind

    (Institute of Epidemiology and Health, University College London, UK and Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds)

  • David Meads

    (Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds)

  • Adam Martin

    (Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds)

Abstract

Background We investigate whether and how general population health state values were influenced by the initial stages of the COVID-19 pandemic. Changes could have important implications, as general population values are used in health resource allocation. Data In Spring 2020, participants in a UK general population survey rated 2 EQ-5D-5L states, 11111 and 55555, as well as dead, using a visual analogue scale (VAS) from 100 = best imaginable health to 0 = worst imaginable health. Participants answered questions about their pandemic experiences, including COVID-19’s effect on their health and quality of life, and their subjective risk/worry about infection. Analysis VAS ratings for 55555 were transformed to the full health = 1, dead = 0 scale. Tobit models were used to analyse VAS responses, as well as multinomial propensity score matching (MNPS) to create samples balanced according to participant characteristics. Results Of 3021 respondents, 2599 were used for analysis. There were statistically significant, but complex associations between experiences of COVID-19 and VAS ratings. For example, in the MNPS analysis, greater subjective risk of infection implied higher VAS ratings for dead, yet worry about infection implied lower ratings. In the Tobit analysis, people whose health was affected by COVID-19 rated 55555 higher, whether the effect on health was positive or negative. Conclusion The results complement previous findings that the onset of the COVID-19 pandemic may have impacted EQ-5D-5L health state valuation, and different aspects of the pandemic had different effects.

Suggested Citation

  • Edward J. D. Webb & Paul Kind & David Meads & Adam Martin, 2024. "COVID-19 and EQ-5D-5L health state valuation," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(1), pages 117-145, February.
  • Handle: RePEc:spr:eujhec:v:25:y:2024:i:1:d:10.1007_s10198-023-01569-8
    DOI: 10.1007/s10198-023-01569-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10198-023-01569-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10198-023-01569-8?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. Jennifer Beam Dowd & Liliana Andriano & David M. Brazel & Valentina Rotondi & Per Block & Xuejie Ding & Yan Liu & Melinda C. Mills, 2020. "Demographic science aids in understanding the spread and fatality rates of COVID-19," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(18), pages 9696-9698, May.
    2. Edward J. D. Webb & John O’Dwyer & David Meads & Paul Kind & Penny Wright, 2020. "Transforming discrete choice experiment latent scale values for EQ-5D-3L using the visual analogue scale," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(5), pages 787-800, July.
    3. Arthur Eumann Mesas & Iván Cavero-Redondo & Celia Álvarez-Bueno & Marcos Aparecido Sarriá Cabrera & Selma Maffei de Andrade & Irene Sequí-Dominguez & Vicente Martínez-Vizcaíno, 2020. "Predictors of in-hospital COVID-19 mortality: A comprehensive systematic review and meta-analysis exploring differences by age, sex and health conditions," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-23, November.
    4. David Daeho Kim & Peter J. Neumann, 2020. "Analyzing the Cost Effectiveness of Policy Responses for COVID-19: The Importance of Capturing Social Consequences," Medical Decision Making, , vol. 40(3), pages 251-253, April.
    5. Mark Oppe & Kim Rand-Hendriksen & Koonal Shah & Juan M. Ramos‐Goñi & Nan Luo, 2016. "EuroQol Protocols for Time Trade-Off Valuation of Health Outcomes," PharmacoEconomics, Springer, vol. 34(10), pages 993-1004, October.
    6. Beatriz González López-Valcárcel & Laura Vallejo-Torres, 2021. "The costs of COVID-19 and the cost-effectiveness of testing," Applied Economic Analysis, Emerald Group Publishing Limited, vol. 29(85), pages 77-89, February.
    7. Claudia R. Schneider & Sarah Dryhurst & John Kerr & Alexandra L. J. Freeman & Gabriel Recchia & David Spiegelhalter & Sander van der Linden, 2021. "COVID-19 risk perception: a longitudinal analysis of its predictors and associations with health protective behaviours in the United Kingdom," Journal of Risk Research, Taylor & Francis Journals, vol. 24(3-4), pages 294-313, April.
    8. Edward J. D. Webb & Paul Kind & David Meads & Adam Martin, 2021. "Does a health crisis change how we value health?," Health Economics, John Wiley & Sons, Ltd., vol. 30(10), pages 2547-2560, September.
    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. Jorge Paz, 2020. "Notas sobre la demografía del COVID-19 en Argentina," Working Papers 22, Instituto de Estudios Laborales y del Desarrollo Económico (IELDE) - Universidad Nacional de Salta - Facultad de Ciencias Económicas, Jurídicas y Sociales.
    2. Battiston, Pietro & Gamba, Simona, 2021. "COVID-19: R0 is lower where outbreak is larger," Health Policy, Elsevier, vol. 125(2), pages 141-147.
    3. Laliotis, Ioannis & Minos, Dimitrios, 2022. "Religion, social interactions, and COVID-19 incidence in Western Germany," European Economic Review, Elsevier, vol. 141(C).
    4. Nepomuceno, Marília, 2020. "Vulnerable groups at increased risk of COVID-19 in sub-Saharan Africa: The case of the HIV population," OSF Preprints uyzjv, Center for Open Science.
    5. Jina Choo & Sooyeon Park & Songwhi Noh, 2021. "Associations of COVID-19 Knowledge and Risk Perception with the Full Adoption of Preventive Behaviors in Seoul," IJERPH, MDPI, vol. 18(22), pages 1-14, November.
    6. Sánchez-Romero, Miguel & Di Lego, Vanessa & Fürnkranz-Prskawetz, Alexia & Queiroz, Bernardo Lanza, 2020. "How many lives can be saved? A global view on the impact of testing, herd immunity and demographics on COVID-19 fatality rates," ECON WPS - Working Papers in Economic Theory and Policy 05/2020, TU Wien, Institute of Statistics and Mathematical Methods in Economics, Economics Research Unit.
    7. Alfonso Gastelum-Strozzi & Claudia Infante-Castañeda & Juan Guillermo Figueroa-Perea & Ingris Peláez-Ballestas, 2021. "Heterogeneity of COVID-19 Risk Perception: A Socio-Mathematical Model," IJERPH, MDPI, vol. 18(21), pages 1-14, October.
    8. Naudé, Wim & Cameron, Martin, 2020. "Failing to Pull Together: South Africa's Troubled Response to COVID-19," IZA Discussion Papers 13649, Institute of Labor Economics (IZA).
    9. Jen-Yu Amy Chang & Chien-Ning Hsu & Juan Manuel Ramos-Goñi & Nan Luo & Hsiang-Wen Lin & Fang-Ju Lin, 2024. "Beyond 10-year lead-times in EQ-5D-5L: leveraging alternative lead-times in willingness-to-accept questions to capture preferences for worse-than-dead states and their implication," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(6), pages 1041-1055, August.
    10. Stefan A. Lipman & Liying Zhang & Koonal K. Shah & Arthur E. Attema, 2023. "Time and lexicographic preferences in the valuation of EQ-5D-Y with time trade-off methodology," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(2), pages 293-305, March.
    11. David J. Mott & Nancy J. Devlin & Simone Kreimeier & Richard Norman & Koonal K. Shah & Oliver Rivero-Arias, 2022. "Analytical Considerations When Anchoring Discrete Choice Experiment Values Using Composite Time Trade-Off Data: The Case of EQ-5D-Y-3L," PharmacoEconomics, Springer, vol. 40(2), pages 129-137, December.
    12. Hensel, Lukas & Witte, Marc & Caria, A. Stefano & Fetzer, Thiemo & Fiorin, Stefano & Götz, Friedrich M. & Gomez, Margarita & Haushofer, Johannes & Ivchenko, Andriy & Kraft-Todd, Gordon & Reutskaja, El, 2022. "Global Behaviors, Perceptions, and the Emergence of Social Norms at the Onset of the COVID-19 Pandemic," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 473-496.
    13. Aydogan, Yigit, 2020. "Are Covid-19 Cases Independent of the City Sizes?," MPRA Paper 99697, University Library of Munich, Germany.
    14. Anthony Medford & Sergi Trias-Llimós, 2020. "Population age structure only partially explains the large number of COVID-19 deaths at the oldest ages," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 43(19), pages 533-544.
    15. Zbyslaw Dobrowolski, 2021. "Why Some Countries Win and others Loose from the COVID-19 Pandemic? Navigating the Uncertainty," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 1217-1226.
    16. Apostolos Davillas & Andrew M Jones, 2021. "The first wave of the COVID‐19 pandemic and its impact on socioeconomic inequality in psychological distress in the UK," Health Economics, John Wiley & Sons, Ltd., vol. 30(7), pages 1668-1683, July.
    17. Tenbensel, Tim & Cumming, Jacqueline & Willing, Esther, 2023. "The 2022 restructure of Aotearoa New Zealand's health system: Will it succeed in advancing equity where others have failed?," Health Policy, Elsevier, vol. 134(C).
    18. Nicola Borri & Francesco Drago & Chiara Santantonio & Francesco Sobbrio, 2021. "The “Great Lockdown”: Inactive workers and mortality by Covid‐19," Health Economics, John Wiley & Sons, Ltd., vol. 30(10), pages 2367-2382, September.
    19. Chenghe Guan & Junjie Tan & Brian Hall & Chao Liu & Ying Li & Zhichang Cai, 2022. "The Effect of the Built Environment on the COVID-19 Pandemic at the Initial Stage: A County-Level Study of the USA," Sustainability, MDPI, vol. 14(6), pages 1-17, March.
    20. Hakan Yilmazkuday, 2020. "COVID‐19 and unequal social distancing across demographic groups," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(6), pages 1235-1248, December.

    More about this item

    Keywords

    COVID-19; EQ-5D-5L; Valuation; Visual analogue scale; Health shock;
    All these keywords.

    JEL classification:

    • D7 - Microeconomics - - Analysis of Collective Decision-Making
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General

    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:spr:eujhec:v:25:y:2024:i:1:d:10.1007_s10198-023-01569-8. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.