IDEAS home Printed from
   My bibliography  Save this article

Exploring EQ-5D-Y-3L Experience-Based VAS Values Derived Among Adolescents


  • Mimmi Åström

    (Karolinska Institutet
    Karolinska Institutet
    Centre for Health Economics, Informatics and Health Services Research, Stockholm Health Care Services, Region Stockholm)

  • Ola Rolfson

    (Karolinska Institutet
    University of Gothenburg)

  • Kristina Burström

    (Karolinska Institutet
    Karolinska Institutet)


Objectives The EQ-5D-Y-3L is a generic health-related quality of life (HRQoL) instrument, developed from the adult version to be suitable for children and adolescents aged 8–15 years. To derive values for the EQ-5D-Y-3L different valuation methods and perspectives have been applied. The aim of this study was to explore EQ-5D-Y-3L experience-based visual analogue scale (VAS) values derived among adolescents. Methods Data were derived from a cross-sectional population survey administered via schools in 2014 to adolescents aged 13–18 years, in Sweden. Regression analyses were performed on individual data with the VAS value as dependent variable. Ordinary least-squares (OLS) and generalised linear models (GLM) were estimated with two dummy variables for each of the EQ-5D-Y-3L dimensions. Interaction variables were tested. One way of anchoring VAS at dead and full health by using the predicted values for worst and best health states defined by the EQ-5D-Y-3L descriptive system was explored. Results Of the 243 possible health states in EQ-5D-Y-3L, 92 were reported by the 6,468 respondents. The largest decrements in VAS values were observed for the dimension ‘feeling worried, sad or unhappy’ followed by ‘doing usual activities’. All models performed similarly in terms of monotonicity and goodness of fit but in terms of simplicity and understandability, the OLS main effect model was superior. Conclusions We have explored experience-based VAS values for the EQ-5D-Y-3L derived among adolescents. The findings suggest that it is possible for adolescents to value their own health state using the VAS, which makes it possible to capture aspects that are important for young people.

Suggested Citation

  • Mimmi Åström & Ola Rolfson & Kristina Burström, 2022. "Exploring EQ-5D-Y-3L Experience-Based VAS Values Derived Among Adolescents," Applied Health Economics and Health Policy, Springer, vol. 20(3), pages 383-393, May.
  • Handle: RePEc:spr:aphecp:v:20:y:2022:i:3:d:10.1007_s40258-021-00713-w
    DOI: 10.1007/s40258-021-00713-w

    Download full text from publisher

    File URL:
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL:
    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

    1. Brazier, John & Ratcliffe, Julie & Salomon, Joshua & Tsuchiya, Aki, 2016. "Measuring and Valuing Health Benefits for Economic Evaluation," OUP Catalogue, Oxford University Press, edition 2, number 9780198725923.
    2. Aki Tsuchiya & Shunya Ikeda & Naoki Ikegami & Shuzo Nishimura & Ikuro Sakai & Takashi Fukuda & Chisato Hamashima & Akinori Hisashige & Makoto Tamura, 2002. "Estimating an EQ‐5D population value set: the case of Japan," Health Economics, John Wiley & Sons, Ltd., vol. 11(4), pages 341-353, June.
    3. David Parkin & Nancy Devlin, 2006. "Is there a case for using visual analogue scale valuations in cost‐utility analysis?," Health Economics, John Wiley & Sons, Ltd., vol. 15(7), pages 653-664, July.
    4. Chris Sampson;David Parkin;Nancy Devlin, 2020. "Drop Dead: Is Anchoring at ‘Dead’ a Theoretical Requirement in Health State Valuation?," Research Paper 002308, Office of Health Economics.
    5. Drummond, Michael F. & Sculpher, Mark J. & Claxton, Karl & Stoddart, Greg L. & Torrance, George W., 2015. "Methods for the Economic Evaluation of Health Care Programmes," OUP Catalogue, Oxford University Press, edition 4, number 9780199665884.
    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. Joseph Kwon & Sung Wook Kim & Wendy J. Ungar & Kate Tsiplova & Jason Madan & Stavros Petrou, 2018. "A Systematic Review and Meta-analysis of Childhood Health Utilities," Medical Decision Making, , vol. 38(3), pages 277-305, April.
    2. Ian Ross & Giulia Greco & Charles Opondo & Zaida Adriano & Rassul Nala & Joe Brown & Robert Dreibelbis & Oliver Cumming, 2022. "Measuring and valuing broader impacts in public health: Development of a sanitation‐related quality of life instrument in Maputo, Mozambique," Health Economics, John Wiley & Sons, Ltd., vol. 31(3), pages 466-480, March.
    3. Richard Norman & Paula Cronin & Rosalie Viney, 2012. "Deriving utility weights for the EQ-5D-5L using a discrete choice experiment. CHERE Working Paper 2012/01," Working Papers 2012/01, CHERE, University of Technology, Sydney.
    4. 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.
    5. Stavros Petrou & Joseph Kwon & Jason Madan, 2018. "A Practical Guide to Conducting a Systematic Review and Meta-analysis of Health State Utility Values," PharmacoEconomics, Springer, vol. 36(9), pages 1043-1061, September.
    6. Roberta Ara & Tessa Peasgood & Clara Mukuria & Helene Chevrou-Severac & Donna Rowen & Ismail Azzabi-Zouraq & Suzy Paisley & Tracey Young & Ben Hout & John Brazier, 2017. "Sourcing and Using Appropriate Health State Utility Values in Economic Models in Health Care," PharmacoEconomics, Springer, vol. 35(1), pages 7-9, December.
    7. Rodríguez-Míguez, E. & Abellán-Perpiñán, J.M. & Alvarez, X.C. & González, X.M. & Sampayo, A.R., 2016. "The DEP-6D, a new preference-based measure to assess health states of dependency," Social Science & Medicine, Elsevier, vol. 153(C), pages 210-219.
    8. Bansback, Nick & Brazier, John & Tsuchiya, Aki & Anis, Aslam, 2012. "Using a discrete choice experiment to estimate health state utility values," Journal of Health Economics, Elsevier, vol. 31(1), pages 306-318.
    9. Spencer, Anne & Rivero-Arias, Oliver & Wong, Ruth & Tsuchiya, Aki & Bleichrodt, Han & Edwards, Rhiannon Tudor & Norman, Richard & Lloyd, Andrew & Clarke, Philip, 2022. "The QALY at 50: One story many voices," Social Science & Medicine, Elsevier, vol. 296(C).
    10. Michał Jakubczyk, 2009. "Impact of Complementarity and Heterogeneity on Health Related Utility of Life," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 1(2), pages 139-156, November.
    11. Donna Rowen & Oliver Rivero-Arias & Nancy Devlin & Julie Ratcliffe, 2020. "Review of Valuation Methods of Preference-Based Measures of Health for Economic Evaluation in Child and Adolescent Populations: Where are We Now and Where are We Going?," PharmacoEconomics, Springer, vol. 38(4), pages 325-340, April.
    12. Samer Kharroubi, 2015. "A Comparison of Japan and UK SF-6D Health-State Valuations Using a Non-Parametric Bayesian Method," Applied Health Economics and Health Policy, Springer, vol. 13(4), pages 409-420, August.
    13. Helen Dakin & Alastair Gray, 2018. "Decision Making for Healthcare Resource Allocation: Joint v. Separate Decisions on Interacting Interventions," Medical Decision Making, , vol. 38(4), pages 476-486, May.
    14. Versteegh, M.M. & Brouwer, W.B.F., 2016. "Patient and general public preferences for health states: A call to reconsider current guidelines," Social Science & Medicine, Elsevier, vol. 165(C), pages 66-74.
    15. Irina Pokhilenko & Luca M. M. Janssen & Aggie T. G. Paulus & Ruben M. W. A. Drost & William Hollingworth & Joanna C. Thorn & Sian Noble & Judit Simon & Claudia Fischer & Susanne Mayer & Luis Salvador-, 2023. "Development of an Instrument for the Assessment of Health-Related Multi-sectoral Resource Use in Europe: The PECUNIA RUM," Applied Health Economics and Health Policy, Springer, vol. 21(2), pages 155-166, March.
    16. Chiranjeev Sanyal & Don Husereau, 2020. "Systematic Review of Economic Evaluations of Services Provided by Community Pharmacists," Applied Health Economics and Health Policy, Springer, vol. 18(3), pages 375-392, June.
    17. Samer A. Kharroubi & Yara Beyh & Marwa Diab El Harake & Dalia Dawoud & Donna Rowen & John Brazier, 2020. "Examining the Feasibility and Acceptability of Valuing the Arabic Version of SF-6D in a Lebanese Population," IJERPH, MDPI, vol. 17(3), pages 1-15, February.
    18. Joanna Coast & Hareth Al‐Janabi & Eileen J. Sutton & Susan A. Horrocks & A. Jane Vosper & Dawn R. Swancutt & Terry N. Flynn, 2012. "Using qualitative methods for attribute development for discrete choice experiments: issues and recommendations," Health Economics, John Wiley & Sons, Ltd., vol. 21(6), pages 730-741, June.
    19. Joanna M Charles & Deirdre M Harrington & Melanie J Davies & Charlotte L Edwardson & Trish Gorely & Danielle H Bodicoat & Kamlesh Khunti & Lauren B Sherar & Thomas Yates & Rhiannon Tudor Edwards, 2019. "Micro-costing and a cost-consequence analysis of the ‘Girls Active’ programme: A cluster randomised controlled trial," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-17, August.
    20. Andrew J. Mirelman & Miqdad Asaria & Bryony Dawkins & Susan Griffin & Richard Cookson & Peter Berman, 2020. "Fairer Decisions, Better Health for All: Health Equity and Cost-Effectiveness Analysis," World Scientific Book Chapters, in: Paul Revill & Marc Suhrcke & Rodrigo Moreno-Serra & Mark Sculpher (ed.), Global Health Economics Shaping Health Policy in Low- and Middle-Income Countries, chapter 4, pages 99-132, World Scientific Publishing Co. Pte. Ltd..

    More about this item


    Access and download statistics


    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:aphecp:v:20:y:2022:i:3:d:10.1007_s40258-021-00713-w. 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: .

    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: .

    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.