IDEAS home Printed from https://ideas.repec.org/a/spr/eujhec/v24y2023i6d10.1007_s10198-022-01517-y.html
   My bibliography  Save this article

Completing the time trade-off with respondents who are older, in poorer health or with an immigrant background in an EQ-5D-5L valuation study

Author

Listed:
  • Tonya Moen Hansen

    (Norwegian Institute of Public Health
    University of Oslo)

  • Knut Stavem

    (Akershus University Hospital
    University of Oslo
    Akershus University Hospital)

  • Kim Rand

    (Akershus University Hospital
    Maths in Health B.V.)

Abstract

Objectives To determine the effects of age, immigrant background, and poor self-reported health in a general population sample on the probability of non-completion or slow completion of the time trade-off (TTO). Methods We used data from an interrupted Norwegian EQ-5D-5L valuation study conducted between 2019 and 2020. All participants responded to background items, irrespective of completion. We used mixed effect logistic regression analysis to assess the effect of old age, poor health, and immigrant background on the probability of non-completion of the TTO, and, for those who completed the TTO, of slow completion times. Results First experiences from a Norwegian valuation study were that 29 (5.5%) respondents failed to complete the TTO tasks. For those reporting age over 65 years, poor health, or an immigrant background, 12% failed to complete the TTO. Adjusted odds ratios for predictors of non-completion were statistically significant (age > 65 years, 8.3; EQ-VAS ≤ 50, 3.49; immigrant background, 4.56). Being over 65 years or with an immigrant background also predicted slow completion of both the introduction and TTO tasks. Conclusions High age, poor health, and immigrant status increased the risk of not being able to complete the TTO tasks, and of slow completion. Higher non-completion rates and increased completion times suggest that elements of the TTO may be demanding for some respondent groups, with possible implications for representativeness.

Suggested Citation

  • Tonya Moen Hansen & Knut Stavem & Kim Rand, 2023. "Completing the time trade-off with respondents who are older, in poorer health or with an immigrant background in an EQ-5D-5L valuation study," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(6), pages 877-884, August.
  • Handle: RePEc:spr:eujhec:v:24:y:2023:i:6:d:10.1007_s10198-022-01517-y
    DOI: 10.1007/s10198-022-01517-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10198-022-01517-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/s10198-022-01517-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. Dominik Golicki & Michał Jakubczyk & Katarzyna Graczyk & Maciej Niewada, 2019. "Valuation of EQ-5D-5L Health States in Poland: the First EQ-VT-Based Study in Central and Eastern Europe," PharmacoEconomics, Springer, vol. 37(9), pages 1165-1176, September.
    2. 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.
    3. Donna Rowen & Ismail Azzabi Zouraq & Helene Chevrou-Severac & Ben Hout, 2017. "International Regulations and Recommendations for Utility Data for Health Technology Assessment," PharmacoEconomics, Springer, vol. 35(1), pages 11-19, December.
    4. Eliza L. Y. Wong & Juan Manuel Ramos-Goñi & Annie W. L. Cheung & Amy Y. K. Wong & Oliver Rivero-Arias, 2018. "Assessing the Use of a Feedback Module to Model EQ-5D-5L Health States Values in Hong Kong," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 11(2), pages 235-247, April.
    5. de Freitas, Cláudia & Martin, Graham, 2015. "Inclusive public participation in health: Policy, practice and theoretical contributions to promote the involvement of marginalised groups in healthcare," Social Science & Medicine, Elsevier, vol. 135(C), pages 31-39.
    6. Feng Xie & A. Pickard & Paul Krabbe & Dennis Revicki & Rosalie Viney & Nancy Devlin & David Feeny, 2015. "A Checklist for Reporting Valuation Studies of Multi-Attribute Utility-Based Instruments (CREATE)," PharmacoEconomics, Springer, vol. 33(8), pages 867-877, August.
    7. Ratcliffe, Julie & Huynh, Elisabeth & Chen, Gang & Stevens, Katherine & Swait, Joffre & Brazier, John & Sawyer, Michael & Roberts, Rachel & Flynn, Terry, 2016. "Valuing the Child Health Utility 9D: Using profile case best worst scaling methods to develop a new adolescent specific scoring algorithm," Social Science & Medicine, Elsevier, vol. 157(C), pages 48-59.
    8. Torbjørn Wisløff & Gunhild Hagen & Vida Hamidi & Espen Movik & Marianne Klemp & Jan Olsen, 2014. "Estimating QALY Gains in Applied Studies: A Review of Cost-Utility Analyses Published in 2010," PharmacoEconomics, Springer, vol. 32(4), pages 367-375, April.
    9. 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.
    10. Julie Ratcliffe & Leah Couzner & Terry Flynn & Michael Sawyer & Katherine Stevens & John Brazier & Leonie Burgess, 2011. "Valuing child health utility 9D health states with a young adolescent sample," Applied Health Economics and Health Policy, Springer, vol. 9(1), pages 15-27, January.
    11. Eleanor M. Pullenayegum & A. Simon Pickard & Feng Xie, 2019. "Latent Class Models Reveal Poor Agreement between Discrete-Choice and Time Tradeoff Preferences," Medical Decision Making, , vol. 39(4), pages 421-436, May.
    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. Paul Mark Mitchell & Samantha Husbands & Sarah Byford & Philip Kinghorn & Cara Bailey & Tim J. Peters & Joanna Coast, 2021. "Challenges in developing capability measures for children and young people for use in the economic evaluation of health and care interventions," Health Economics, John Wiley & Sons, Ltd., vol. 30(9), pages 1990-2003, September.
    2. Eliza Lai Yi Wong & Richard Huan Xu & Annie Wai Ling Cheung, 2020. "Health-related quality of life in elderly people with hypertension and the estimation of minimally important difference using EQ-5D-5L in Hong Kong SAR, China," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(6), pages 869-879, August.
    3. Richard De Abreu Lourenço & Nancy Devlin & Kirsten Howard & Jason J. Ong & Julie Ratcliffe & Jo Watson & Esther Willing & Elisabeth Huynh, 2021. "Giving a Voice to Marginalised Groups for Health Care Decision Making," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 14(1), pages 5-10, January.
    4. 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.
    5. Osman, Ahmed M.Y. & Wu, Jing & He, Xiaoning & Chen, Gang, 2021. "Eliciting SF-6Dv2 health state utilities using an anchored best-worst scaling technique," Social Science & Medicine, Elsevier, vol. 279(C).
    6. Peasgood, Tessa & Bourke, Mackenzie & Devlin, Nancy & Rowen, Donna & Yang, Yaling & Dalziel, Kim, 2023. "Randomised comparison of online interviews versus face-to-face interviews to value health states," Social Science & Medicine, Elsevier, vol. 323(C).
    7. Moustapha Touré & Christian R. C. Kouakou & Thomas G. Poder, 2021. "Dimensions Used in Instruments for QALY Calculation: A Systematic Review," IJERPH, MDPI, vol. 18(9), pages 1-22, April.
    8. Koonal K. Shah & Bryan Bennett & Andrew Lenny & Louise Longworth & John E. Brazier & Mark Oppe & A. Simon Pickard & James W. Shaw, 2021. "Adapting preference-based utility measures to capture the impact of cancer treatment-related symptoms," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(8), pages 1301-1309, November.
    9. Richard Huan Xu & Anju Devianee Keetharuth & Ling-ling Wang & Annie Wai-ling Cheung & Eliza Lai-yi Wong, 2022. "Measuring health-related quality of life and well-being: a head-to-head psychometric comparison of the EQ-5D-5L, ReQoL-UI and ICECAP-A," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(2), pages 165-176, March.
    10. Antony P. Martin & Enrico Ferri Grazzi & Claudia Mighiu & Manoj Chevli & Farrukh Shah & Louise Maher & Anum Shaikh & Aliah Sagar & Hayley Hubberstey & Bethany Franks & Juan M. Ramos-Goñi & Mark Oppe &, 2023. "Health state utilities for beta-thalassemia: a time trade-off study," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(1), pages 27-38, February.
    11. 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).
    12. Sullivan, Trudy & Hansen, Paul & Ombler, Franz & Derrett, Sarah & Devlin, Nancy, 2020. "A new tool for creating personal and social EQ-5D-5L value sets, including valuing ‘dead’," Social Science & Medicine, Elsevier, vol. 246(C).
    13. S. A. Lipman & V. T. Reckers-Droog & M. Karimi & M. Jakubczyk & A. E. Attema, 2021. "Self vs. other, child vs. adult. An experimental comparison of valuation perspectives for valuation of EQ-5D-Y-3L health states," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(9), pages 1507-1518, December.
    14. Kelleher, Dan & Barry, Luke & Hobbins, Anna & O'Neill, Stephen & Doherty, Edel & O'Neill, Ciaran, 2020. "Examining the transnational health preferences of a group of Eastern European migrants relative to a European host population using the EQ-5D-5L," Social Science & Medicine, Elsevier, vol. 246(C).
    15. Ratcliffe, Julie & Huynh, Elisabeth & Chen, Gang & Stevens, Katherine & Swait, Joffre & Brazier, John & Sawyer, Michael & Roberts, Rachel & Flynn, Terry, 2016. "Valuing the Child Health Utility 9D: Using profile case best worst scaling methods to develop a new adolescent specific scoring algorithm," Social Science & Medicine, Elsevier, vol. 157(C), pages 48-59.
    16. Round, Jeff, 2012. "Is a QALY still a QALY at the end of life?," Journal of Health Economics, Elsevier, vol. 31(3), pages 521-527.
    17. Chen, Gang & Ratcliffe, Julie & Milte, Rachel & Khadka, Jyoti & Kaambwa, Billingsley, 2021. "Quality of care experience in aged care: An Australia-Wide discrete choice experiment to elicit preference weights," Social Science & Medicine, Elsevier, vol. 289(C).
    18. Coast, Joanna, 2018. "A history that goes hand in hand: Reflections on the development of health economics and the role played by Social Science & Medicine, 1967–2017," Social Science & Medicine, Elsevier, vol. 196(C), pages 227-232.
    19. 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.
    20. Axel C. Mühlbacher & Anika Kaczynski & Peter Zweifel & F. Reed Johnson, 2016. "Experimental measurement of preferences in health and healthcare using best-worst scaling: an overview," Health Economics Review, Springer, vol. 6(1), pages 1-14, December.

    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:24:y:2023:i:6:d:10.1007_s10198-022-01517-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.