IDEAS home Printed from https://ideas.repec.org/a/spr/patien/v12y2019i4d10.1007_s40271-018-00354-7.html
   My bibliography  Save this article

EQ-5D-5L is More Responsive than EQ-5D-3L to Treatment Benefit of Cataract Surgery

Author

Listed:
  • Mihir Gandhi

    (Singapore Clinical Research Institute
    Duke-NUS Medical School
    University of Tampere and Tampere University Hospital)

  • Marcus Ang

    (Singapore National Eye Centre
    Duke-NUS Medical School)

  • Kelvin Teo

    (Singapore National Eye Centre)

  • Chee Wai Wong

    (Singapore National Eye Centre)

  • Yvonne Chung-Hsi Wei

    (Singapore National Eye Centre)

  • Rachel Lee-Yin Tan

    (National University of Singapore)

  • Mathieu F. Janssen

    (Erasmus MC)

  • Nan Luo

    (National University of Singapore)

Abstract

Background It is not clear whether 5-level EQ-5D (EQ-5D-5L) utilities based on recently developed value sets are more responsive than 3-level EQ-5D (EQ-5D-3L) utilities. Objectives The study aims were to compare (1) the responsiveness of EQ-5D-5L and EQ-5D-3L utilities and (2) the responsiveness of these utilities with the Short Form–6 Dimension (SF-6D) and Health Utilities Index Mark 3 (HUI3) utilities to the treatment benefit of cataract surgery. Methods A total of 148 patients were interviewed before and after their cataract surgery using EQ-5D-3L, EQ-5D-5L, SF-6D, and HUI3. Responsiveness was assessed for all measures using the mean change (post-treatment—pre-treatment), standardized effect size (SES), standardized response mean (SRM), and F-statistic. Results Using the Singapore value sets, mean change for EQ-5D-3L and EQ-5D-5L utilities was 0.016 and 0.028, SES was 0.097 and 0.199; SRM was 0.091 and 0.196; and F-statistic was 1.2 and 5.7, respectively. Similar trends were observed using the UK/England EQ-5D value sets, although the magnitude was slightly smaller. The mean change, SES, SRM and F-statistics for SF-6D (UK value set) were 0.020, 0.234, 0.249, and 9.2, respectively. The values of mean change, SES, SRM and F-statistics for HUI3 (Canada value set) were 0.080, 0.472, 0.474, and 33.3, respectively. Conclusions The EQ-5D-5L utilities tend to be more responsive than the EQ-5D-3L utilities to treatment benefits of cataract surgery. The HUI3 utilities are more responsive than both the EQ-5D-5L and SF-6D, and SF-6D utilities may be slightly more responsive than the EQ-5D-5L for assessing patients undergoing cataract surgery.

Suggested Citation

  • Mihir Gandhi & Marcus Ang & Kelvin Teo & Chee Wai Wong & Yvonne Chung-Hsi Wei & Rachel Lee-Yin Tan & Mathieu F. Janssen & Nan Luo, 2019. "EQ-5D-5L is More Responsive than EQ-5D-3L to Treatment Benefit of Cataract Surgery," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 12(4), pages 383-392, August.
  • Handle: RePEc:spr:patien:v:12:y:2019:i:4:d:10.1007_s40271-018-00354-7
    DOI: 10.1007/s40271-018-00354-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40271-018-00354-7
    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/s40271-018-00354-7?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. Brendan Mulhern & Yan Feng & Koonal Shah & Mathieu F. Janssen & Michael Herdman & Ben Hout & Nancy Devlin, 2018. "Comparing the UK EQ-5D-3L and English EQ-5D-5L Value Sets," PharmacoEconomics, Springer, vol. 36(6), pages 699-713, June.
    2. W Furlong & D Feeny & G Torrance & C Goldsmith & S DePauw & Z Zhu & M Denton & M Boyle, 1998. "Multiplicative Multi-Attribute Utility Function for the Health Utilities Index Mark 3 (HUI3) System: A Technical Report," Centre for Health Economics and Policy Analysis Working Paper Series 1998-11, Centre for Health Economics and Policy Analysis (CHEPA), McMaster University, Hamilton, Canada.
    3. Nan Luo & Pei Wang & Julian Thumboo & Yee-Wei Lim & Hubertus Vrijhoef, 2014. "Valuation of EQ-5D-3L Health States in Singapore: Modeling of Time Trade-Off Values for 80 Empirically Observed Health States," PharmacoEconomics, Springer, vol. 32(5), pages 495-507, May.
    4. Nancy J. Devlin & Koonal K. Shah & Yan Feng & Brendan Mulhern & Ben van Hout, 2018. "Valuing health‐related quality of life: An EQ‐5D‐5L value set for England," Health Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 7-22, January.
    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. Finch, Aureliano Paolo & Meregaglia, Michela & Ciani, Oriana & Roudijk, Bram & Jommi, Claudio, 2022. "An EQ-5D-5L value set for Italy using videoconferencing interviews and feasibility of a new mode of administration," Social Science & Medicine, Elsevier, vol. 292(C).
    2. Mihir Gandhi & Marcus Ang & Kelvin Teo & Chee Wai Wong & Yvonne Chung-Hsi Wei & Rachel Lee-Yin Tan & Mathieu F. Janssen & Nan Luo, 2020. "A vision ‘bolt-on’ increases the responsiveness of EQ-5D: preliminary evidence from a study of cataract surgery," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(4), pages 501-511, June.
    3. Finch, Aureliano Paolo & Mulhern, Brendan, 2022. "Where do measures of health, social care and wellbeing fit within a wider measurement framework? Implications for the measurement of quality of life and the identification of bolt-ons," Social Science & Medicine, Elsevier, vol. 313(C).

    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. Mihir Gandhi & Marcus Ang & Kelvin Teo & Chee Wai Wong & Yvonne Chung-Hsi Wei & Rachel Lee-Yin Tan & Mathieu F. Janssen & Nan Luo, 2020. "A vision ‘bolt-on’ increases the responsiveness of EQ-5D: preliminary evidence from a study of cataract surgery," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(4), pages 501-511, June.
    2. Rowen, Donna & Mukuria, Clara & Bray, Nathan & Carlton, Jill & Longworth, Louise & Meads, David & O'Neill, Ciaran & Shah, Koonal & Yang, Yaling, 2022. "Assessing the comparative feasibility, acceptability and equivalence of videoconference interviews and face-to-face interviews using the time trade-off technique," Social Science & Medicine, Elsevier, vol. 309(C).
    3. Brendan Mulhern & Richard Norman & John Brazier, 2021. "Valuing SF-6Dv2 in Australia Using an International Protocol," PharmacoEconomics, Springer, vol. 39(10), pages 1151-1162, October.
    4. Tianxin Pan & Brendan Mulhern & Rosalie Viney & Richard Norman & Janel Hanmer & Nancy Devlin, 2022. "A Comparison of PROPr and EQ-5D-5L Value Sets," PharmacoEconomics, Springer, vol. 40(3), pages 297-307, March.
    5. D. Stratmann‐Schoene & T. Kuehn & R. Kreienberg & R. Leidl, 2006. "A preference‐based index for the SF‐12," Health Economics, John Wiley & Sons, Ltd., vol. 15(6), pages 553-564, June.
    6. Stengos, Thanasis & Thompson, Brennan S., 2012. "Testing for bivariate stochastic dominance using inequality restrictions," Economics Letters, Elsevier, vol. 115(1), pages 60-62.
    7. Eliza Kruger & Daniel Aggio & Hayley Freitas & Andrew Lloyd, 2023. "Estimation of Health Utility Scores for Glycogen Storage Disease Type Ia," PharmacoEconomics - Open, Springer, vol. 7(4), pages 627-638, July.
    8. Emmanuelle Piérard, 2016. "The effect of health care expenditures on self-rated health status and the Health Utility Index: Evidence from Canada," International Journal of Health Economics and Management, Springer, vol. 16(1), pages 1-21, March.
    9. Mónica Hernández‐Alava & Stephen Pudney, 2022. "Mapping between EQ‐5D‐3L and EQ‐5D‐5L: A survey experiment on the validity of multi‐instrument data," Health Economics, John Wiley & Sons, Ltd., vol. 31(6), pages 923-939, June.
    10. Joan Costa-Font & Frank A. Cowell, 2022. "The measurement of health inequalities: does status matter?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(2), pages 299-325, June.
    11. Barry Dewitt & Alexander Davis & Baruch Fischhoff & Janel Hanmer, 2017. "An Approach to Reconciling Competing Ethical Principles in Aggregating Heterogeneous Health Preferences," Medical Decision Making, , vol. 37(6), pages 647-656, August.
    12. John Mullahy, 2018. "Treatment Effects with Multiple Outcomes," NBER Working Papers 25307, National Bureau of Economic Research, Inc.
    13. Anna Selivanova & Erik Buskens & Paul F. M. Krabbe, 2018. "Head-to-Head Comparison of EQ‐5D‐3L and EQ‐5D‐5L Health Values," PharmacoEconomics, Springer, vol. 36(6), pages 715-725, June.
    14. Dhfer Alshayban & Royes Joseph, 2020. "Health-related quality of life among patients with type 2 diabetes mellitus in Eastern Province, Saudi Arabia: A cross-sectional study," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-12, January.
    15. Ole Marten & Brendan Mulhern & Nick Bansback & Aki Tsuchiya, 2020. "Implausible States: Prevalence of EQ-5D-5L States in the General Population and Its Effect on Health State Valuation," Medical Decision Making, , vol. 40(6), pages 735-745, August.
    16. Jorgen Lauridsen & Terkel Christiansen & Unto Häkkinen, 2004. "Measuring inequality in self‐reported health—discussion of a recently suggested approach using Finnish data," Health Economics, John Wiley & Sons, Ltd., vol. 13(7), pages 725-732, July.
    17. Elliott, Jack & Tsuchiya, Aki, 2022. "Do they just know more, or do they also have different preferences? An exploratory analysis of the effects of self-reporting serious health problems on health state valuation," Social Science & Medicine, Elsevier, vol. 315(C).
    18. Nan Luo & Qinan Wang & David Feeny & Geraldine Chen & Shu-Chuen Li & Julian Thumboo, 2007. "Measuring Health Preferences for Health Utilities Index Mark 3 Health States: A Study of Feasibility and Preference Differences among Ethnic Groups in Singapore," Medical Decision Making, , vol. 27(1), pages 61-70, January.
    19. Bleichrodt, Han & Herrero, Carmen & Pinto, Jose Luis, 2002. "A proposal to solve the comparability problem in cost-utility analysis," Journal of Health Economics, Elsevier, vol. 21(3), pages 397-403, May.
    20. Gamze Bayin Donar & Mehmet Top, 2020. "A conceptual framework of quality of life in chronic kidney disease in Turkey: A patient‐focused approach," International Journal of Health Planning and Management, Wiley Blackwell, vol. 35(6), pages 1335-1350, November.

    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:patien:v:12:y:2019:i:4:d:10.1007_s40271-018-00354-7. 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.