IDEAS home Printed from https://ideas.repec.org/a/spr/pharme/v38y2020i5d10.1007_s40273-020-00884-9.html
   My bibliography  Save this article

Feasibility, Validity and Differences in Adolescent and Adult EQ-5D-Y Health State Valuation in Australia and Spain: An Application of Best–Worst Scaling

Author

Listed:
  • Kim Dalziel

    (The University of Melbourne)

  • Max Catchpool

    (The University of Melbourne)

  • Borja García-Lorenzo

    (University of Barcelona
    Fundación Canaria de Investigación Sanitaria (FUNCANIS)
    Health Services Research on Chronic Patients Network (REDISSEC))

  • Inigo Gorostiza

    (Health Services Research on Chronic Patients Network (REDISSEC)
    Basurto University Hospital)

  • Richard Norman

    (Curtin University)

  • Oliver Rivero-Arias

    (Fundación Canaria de Investigación Sanitaria (FUNCANIS)
    Health Services Research on Chronic Patients Network (REDISSEC)
    University of Oxford)

Abstract

Background The measurement and valuation of health-related quality of life for and by young people are increasingly important, yet research on the impact of study perspective and validity of preferences obtained from young populations remains limited. Objective The objective of this study was to evaluate the feasibility and validity of collecting EQ-5D Youth version (EQ-5D-Y) preferences from adolescents, adults, and adults from a child perspective. Methods A profile case best–worst scaling (BWS) online survey was administered to representative Australian and Spanish adult (age ≥ 18 years) and child (age 11–17 years) samples. Adults were told to either answer from their own perspective or for a hypothetical 10-year-old child. Marginal best- and worst-choice frequencies, analysis of dominant choices, self-reported difficulty completing the tasks, and time to complete tasks were used to determine the validity of responses. Results In Australia, 2134 adults and 1010 adolescents completed the survey. In Spain, 2007 adults and 1000 adolescents completed it. Analysis of marginal choice frequencies and dominant choices indicated that the pattern of responses between adolescents and adults was similar. For Australian respondents, having no mobility problems was rated as best by adolescents, while adults rated having no pain and discomfort as ‘best’. In Spain, both adults and adolescents rated no pain or discomfort as ‘best’. Australian adolescents rated very worried, sad or unhappy as ‘worst’, while Spanish adolescents, Spanish adults and Australian adults rated a lot of pain and discomfort as ‘worst’. Conclusions Results suggest preferences from adolescents using direct BWS are valid. Our descriptive analysis also suggest that there are age-related and country-specific differences in elicitation values for the EQ-5D-Y.

Suggested Citation

  • Kim Dalziel & Max Catchpool & Borja García-Lorenzo & Inigo Gorostiza & Richard Norman & Oliver Rivero-Arias, 2020. "Feasibility, Validity and Differences in Adolescent and Adult EQ-5D-Y Health State Valuation in Australia and Spain: An Application of Best–Worst Scaling," PharmacoEconomics, Springer, vol. 38(5), pages 499-513, May.
  • Handle: RePEc:spr:pharme:v:38:y:2020:i:5:d:10.1007_s40273-020-00884-9
    DOI: 10.1007/s40273-020-00884-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40273-020-00884-9
    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/s40273-020-00884-9?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. Gang Chen & Julie Ratcliffe, 2015. "A Review of the Development and Application of Generic Multi-Attribute Utility Instruments for Paediatric Populations," PharmacoEconomics, Springer, vol. 33(10), pages 1013-1028, October.
    2. Christopher McCabe & Katherine Stevens & Jennifer Roberts & John Brazier, 2005. "Health state values for the HUI 2 descriptive system: results from a UK survey," Health Economics, John Wiley & Sons, Ltd., vol. 14(3), pages 231-244, March.
    3. 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.
    4. Dominic Thorrington & Ken Eames, 2015. "Measuring Health Utilities in Children and Adolescents: A Systematic Review of the Literature," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-21, August.
    5. Currie, Candace & Molcho, Michal & Boyce, William & Holstein, Bjørn & Torsheim, Torbjørn & Richter, Matthias, 2008. "Researching health inequalities in adolescents: The development of the Health Behaviour in School-Aged Children (HBSC) Family Affluence Scale," Social Science & Medicine, Elsevier, vol. 66(6), pages 1429-1436, March.
    6. Julie Ratcliffe & Gang Chen & Katherine Stevens & Sandra Bradley & Leah Couzner & John Brazier & Michael Sawyer & Rachel Roberts & Elisabeth Huynh & Terry Flynn, 2015. "Valuing Child Health Utility 9D Health States with Young Adults: Insights from a Time Trade Off Study," Applied Health Economics and Health Policy, Springer, vol. 13(5), pages 485-492, October.
    7. Nicolas Krucien & Verity Watson & Mandy Ryan, 2017. "Is Best–Worst Scaling Suitable for Health State Valuation? A Comparison with Discrete Choice Experiments," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 1-16, December.
    8. Julie Ratcliffe & Elisabeth Huynh & Katherine Stevens & John Brazier & Michael Sawyer & Terry Flynn, 2016. "Nothing About Us Without Us? A Comparison of Adolescent and Adult Health‐State Values for the Child Health Utility‐9D Using Profile Case Best–Worst Scaling," Health Economics, John Wiley & Sons, Ltd., vol. 25(4), pages 486-496, April.
    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. 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.
    2. Clara Mukuria & Donna Rowen & Sue Harnan & Andrew Rawdin & Ruth Wong & Roberta Ara & John Brazier, 2019. "An Updated Systematic Review of Studies Mapping (or Cross-Walking) Measures of Health-Related Quality of Life to Generic Preference-Based Measures to Generate Utility Values," Applied Health Economics and Health Policy, Springer, vol. 17(3), pages 295-313, June.
    3. 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.
    4. Valentina Prevolnik Rupel & Marko Ogorevc, 2021. "EQ-5D-Y Value Set for Slovenia," PharmacoEconomics, Springer, vol. 39(4), pages 463-471, April.
    5. 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.
    6. Karin Dam Petersen & Gang Chen & Christine Mpundu-Kaambwa & Katherine Stevens & John Brazier & Julie Ratcliffe, 2018. "Measuring Health-Related Quality of Life in Adolescent Populations: An Empirical Comparison of the CHU9D and the PedsQLTM 4.0 Short Form 15," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 11(1), pages 29-37, February.
    7. Khadka, Jyoti & Kwon, Joseph & Petrou, Stavros & Lancsar, Emily & Ratcliffe, Julie, 2019. "Mind the (inter-rater) gap. An investigation of self-reported versus proxy-reported assessments in the derivation of childhood utility values for economic evaluation: A systematic review," Social Science & Medicine, Elsevier, vol. 240(C).
    8. Aizaki, Hideo & Fogarty, James, 2019. "An R package and tutorial for case 2 best–worst scaling," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
    9. Kern, Matthias Robert & Heinz, Andreas & Stevens, Gonneke W.J.M. & Walsh, Sophie D. & Willems, Helmut, 2020. "“What's a normal weight?” – Origin and receiving country influences on weight-status assessment among 1.5 and 2nd generation immigrant adolescents in Europe," Social Science & Medicine, Elsevier, vol. 264(C).
    10. Nielsen, Line & Koushede, Vibeke & Vinther-Larsen, Mathilde & Bendtsen, Pernille & Ersbøll, Annette Kjær & Due, Pernille & Holstein, Bjørn E., 2015. "Does school social capital modify socioeconomic inequality in mental health? A multi-level analysis in Danish schools," Social Science & Medicine, Elsevier, vol. 140(C), pages 35-43.
    11. Corominas, Mari & González-Carrasco, Mònica & Casas, Ferran, 2021. "Analyzing factors for an optimum play environment through children’s subjective well-being indicators," Children and Youth Services Review, Elsevier, vol. 122(C).
    12. Timo-Kolja Pförtner & Bart Clercq & Michela Lenzi & Alessio Vieno & Katharina Rathmann & Irene Moor & Anne Hublet & Michal Molcho & Anton Kunst & Matthias Richter, 2015. "Does the association between different dimension of social capital and adolescent smoking vary by socioeconomic status? a pooled cross-national analysis," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 60(8), pages 901-910, December.
    13. Elgar, Frank J. & De Clercq, Bart & Schnohr, Christina W. & Bird, Phillippa & Pickett, Kate E. & Torsheim, Torbjørn & Hofmann, Felix & Currie, Candace, 2013. "Absolute and relative family affluence and psychosomatic symptoms in adolescents," Social Science & Medicine, Elsevier, vol. 91(C), pages 25-31.
    14. Yekaterina Chzhen & Irene Moor & William Pickett & Emilia Toczydlowska & Gonneke Stevens & UNICEF Innocenti Research Centre, 2016. "Family Affluence and Inequality in Adolescent Health and Life Satisfaction: Evidence from the HBSC study 2002-2014," Papers inwopa836, Innocenti Working Papers.
    15. Luis Rajmil & Noemí Robles & Dolors Rodriguez-Arjona & Marta Azuara & Francisco Codina & Hein Raat & Ulrike Ravens-Sieberer, 2014. "Comparison of the Web-Based and Digital Questionnaires of the Spanish and Catalan Versions of the KIDSCREEN-52," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-13, December.
    16. De Clercq, B. & Vyncke, V. & Hublet, A. & Elgar, F.J. & Ravens-Sieberer, U. & Currie, C. & Hooghe, M. & Ieven, A. & Maes, L., 2012. "Social capital and social inequality in adolescents’ health in 601 Flemish communities: A multilevel analysis," Social Science & Medicine, Elsevier, vol. 74(2), pages 202-210.
    17. Vander Ploeg, Kerry A. & Maximova, Katerina & McGavock, Jonathan & Davis, Wendy & Veugelers, Paul, 2014. "Do school-based physical activity interventions increase or reduce inequalities in health?," Social Science & Medicine, Elsevier, vol. 112(C), pages 80-87.
    18. Reiss, Franziska, 2013. "Socioeconomic inequalities and mental health problems in children and adolescents: A systematic review," Social Science & Medicine, Elsevier, vol. 90(C), pages 24-31.
    19. Gabriel Fernandez de Grado & Virginie Ehlinger & Emmanuelle Godeau & Catherine Arnaud & Cathy Nabet & Nadia Benkirane-Jessel & Anne-Marie Musset & Damien Offner, 2021. "Changes in tooth brushing frequency and its associated factors from 2006 to 2014 among French adolescents: Results from three repeated cross sectional HBSC studies," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-12, March.
    20. Heidi Carlerby & Eija Viitasara & Anders Knutsson & Katja Gillander Gådin, 2013. "How Bullying Involvement is Associated with the Distribution of Parental Background and With Subjective Health Complaints Among Swedish Boys and Girls," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 111(3), pages 775-783, May.

    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:38:y:2020:i:5:d:10.1007_s40273-020-00884-9. 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: http://www.springer.com .

    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 hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.