IDEAS home Printed from https://ideas.repec.org/a/spr/pharme/v40y2022i12d10.1007_s40273-022-01194-y.html
   My bibliography  Save this article

Conceptual Framework for Optimised Proxy Value Set Selection Through Supra-National Value Set Development for the EQ-5D Instruments

Author

Listed:
  • Agata Łaszewska

    (Medical University of Vienna)

  • Ayesha Sajjad

    (Erasmus University Rotterdam)

  • Jan Busschbach

    (Erasmus Medical Center)

  • Judit Simon

    (Medical University of Vienna
    University of Oxford)

  • Leona Hakkaart-van Roijen

    (Erasmus University Rotterdam)

Abstract

Background Preference differences between countries and populations justify the use of country-specific value sets for the EQ-5D instruments. There are no clear criteria based on which the selection of value sets for countries without a national value set should be made. As part of the European PECUNIA project, this study aimed to identify factors contributing to differences in preference-based valuations and develop supra-national value sets for homogenous country clusters in Europe. Methods A literature review was conducted to identify factors relevant to variations in the EQ-5D-3L/5L health state valuations across countries. Factors fulfilling the pre-specified criteria of validity, reliability, international feasibility and comparability were used to group 27 European Union member states, the European Free Trade Association countries and the UK. Clusters of countries were developed based on the frequency of their appearance in the same grouping. The supra-national value sets were estimated for these clusters from the coefficients of existing published valuation studies using the ordinary least-squares model. Results Ten factors were identified from 69 studies. From these, five grouping variables: (1) culture and religion; (2) linguistics; (3) healthcare system typology; (4) healthcare system financing; and (5) sociodemographic aspects were derived to define the groups of homogenous countries. Frequency-based grouping revealed five cohesive clusters: English-speaking, Nordic, Central-Western, Southern and Eastern European. Conclusions European countries were clustered considering variables that may relate to differences in health state valuations. Supra-national value sets provide optimised proxy value set selection in the lack of a national value set and/or for regional decision making.

Suggested Citation

  • Agata Łaszewska & Ayesha Sajjad & Jan Busschbach & Judit Simon & Leona Hakkaart-van Roijen, 2022. "Conceptual Framework for Optimised Proxy Value Set Selection Through Supra-National Value Set Development for the EQ-5D Instruments," PharmacoEconomics, Springer, vol. 40(12), pages 1221-1234, December.
  • Handle: RePEc:spr:pharme:v:40:y:2022:i:12:d:10.1007_s40273-022-01194-y
    DOI: 10.1007/s40273-022-01194-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40273-022-01194-y
    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/s40273-022-01194-y?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. Darrell J. Gaskin & Kevin D. Frick, 2008. "Race and Ethnic Disparities in Valuing Health," Medical Decision Making, , vol. 28(1), pages 12-20, January.
    2. Dolan, Paul & Roberts, Jennifer, 2002. "To what extent can we explain time trade-off values from other information about respondents?," Social Science & Medicine, Elsevier, vol. 54(6), pages 919-929, March.
    3. Böhm, Katharina & Schmid, Achim & Götze, Ralf & Landwehr, Claudia & Rothgang, Heinz, 2013. "Five types of OECD healthcare systems: Empirical results of a deductive classification," Health Policy, Elsevier, vol. 113(3), pages 258-269.
    4. Bram Roudijk & A. Rogier T. Donders & Peep F. M. Stalmeier, 2019. "Cultural Values: Can They Explain Differences in Health Utilities between Countries?," Medical Decision Making, , vol. 39(5), pages 605-616, July.
    5. Feng Xie & Eleanor Pullenayegum & A. Simon Pickard & Juan Manuel Ramos Goñi & Min‐woo Jo & Ataru Igarashi, 2017. "Transforming Latent Utilities to Health Utilities: East Does Not Meet West," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 1524-1533, December.
    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. Stefan A. Lipman & Brigitte A. B. Essers & Aureliano P. Finch & Ayesha Sajjad & Peep F. M. Stalmeier & Bram Roudijk, 2022. "In a Child’s Shoes: Composite Time Trade-Off Valuations for EQ-5D-Y-3L with Different Proxy Perspectives," PharmacoEconomics, Springer, vol. 40(2), pages 181-192, December.
    2. Reibling, Nadine & Ariaans, Mareike & Wendt, Claus, 2019. "Worlds of Healthcare: A Healthcare System Typology of OECD Countries," Health Policy, Elsevier, vol. 123(7), pages 611-620.
    3. Ammi, Mehdi & Fortier, Grant, 2017. "The influence of welfare systems on pay-for-performance programs for general practitioners: A critical review," Social Science & Medicine, Elsevier, vol. 178(C), pages 157-166.
    4. Alvaro S Almeida, 2016. "The Role Of Private Non-Profit Healthcare Organizations In Nhs Systems: Implications For The Portuguese Hospital Devolution Program," FEP Working Papers 577, Universidade do Porto, Faculdade de Economia do Porto.
    5. Joana Cima & Alvaro S Almeida, 2018. "Health Expenditure, GDP Growth and the Financial Crisis: A Panel Data Analysis for OECD European Countries," FEP Working Papers 602, Universidade do Porto, Faculdade de Economia do Porto.
    6. Kharroubi, Samer & Brazier, John E. & O'Hagan, Anthony, 2007. "Modelling covariates for the SF-6D standard gamble health state preference data using a nonparametric Bayesian method," Social Science & Medicine, Elsevier, vol. 64(6), pages 1242-1252, March.
    7. Olivier Jacques & Alain Noel, 2022. "Austerity Reduces Public Health Investment," CIRANO Working Papers 2022s-02, CIRANO.
    8. Marisa Santos & Monica A. C. T. Cintra & Andrea L. Monteiro & Braulio Santos & Fernando Gusmão-filho & Mônica Viegas Andrade & Kenya Noronha & Luciane N. Cruz & Suzi Camey & Bernardo Tura & Paul Kin, 2016. "Brazilian Valuation of EQ-5D-3L Health States," Medical Decision Making, , vol. 36(2), pages 253-263, February.
    9. Bonasia, Mariangela & Kounetas, Konstantinos & Oreste, Napolitano, 2020. "Assessment of regional productive performance of European health systems under a metatechnology framework," Economic Modelling, Elsevier, vol. 84(C), pages 234-248.
    10. Plümper, Thomas & Neumayer, Eric, 2014. "Income Inequality, Redistribution and their Effect on Inequality in Longevity," CAGE Online Working Paper Series 210, Competitive Advantage in the Global Economy (CAGE).
    11. Katharine S. Gries & Dean A. Regier & Scott D. Ramsey & Donald L. Patrick, 2017. "Utility Estimates of Disease-Specific Health States in Prostate Cancer from Three Different Perspectives," Applied Health Economics and Health Policy, Springer, vol. 15(3), pages 375-384, June.
    12. Allin, Sara & Farmer, Julie & Quiñonez, Carlos & Peckham, Allie & Marchildon, Gregory & Panteli, Dimitra & Henschke, Cornelia & Fattore, Giovanni & Lamloum, Demetrio & Holden, Alexander C.L. & Rice, T, 2020. "Do health systems cover the mouth? Comparing dental care coverage for older adults in eight jurisdictions," Health Policy, Elsevier, vol. 124(9), pages 998-1007.
    13. Asrul Akmal Shafie & Annushiah Vasan Thakumar, 2020. "Multiplicative modelling of EQ-5D-3L TTO and VAS values," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(9), pages 1411-1420, December.
    14. Anna-Theresa Renner, 2020. "Inefficiencies in a healthcare system with a regulatory split of power: a spatial panel data analysis of avoidable hospitalisations in Austria," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(1), pages 85-104, February.
    15. Jacques, Olivier & Noël, Alain, 2022. "The politics of public health investments," Social Science & Medicine, Elsevier, vol. 309(C).
    16. Floortje Nooten & Jan Busschbach & Michel Agthoven & Job Exel & Werner Brouwer, 2018. "What should we know about the person behind a TTO?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(9), pages 1207-1211, December.
    17. 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.
    18. Vincent Šoltés & Beáta Gavurová, 2014. "The possibilities of day surgery system development within the health policy in Slovakia," Health Economics Review, Springer, vol. 4(1), pages 1-12, December.
    19. Matthias Klumpp & Dominic Loske & Silvio Bicciato, 2022. "COVID-19 health policy evaluation: integrating health and economic perspectives with a data envelopment analysis approach," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(8), pages 1263-1285, November.
    20. Sahar Al Shabasy & Fatima Al Sayah & Maggie Abbassi & Samar Farid, 2022. "Determinants of Health Preferences Using Data from the Egyptian EQ-5D-5L Valuation Study," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 15(5), pages 589-598, 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:spr:pharme:v:40:y:2022:i:12:d:10.1007_s40273-022-01194-y. 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.