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Methodological issues raised by preference‐based approaches to measuring the health status of children

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  • Stavros Petrou

Abstract

This paper identifies and discusses a number of methodological issues that require consideration when applying preference‐based approaches to the measurement of the health status of children. It is argued that the decision about which dimensions of health status to incorporate into health state descriptions or classifications should depend, in part, upon whether the measure will be used to inform resource allocation within or across age groups. In addition, the paper identifies and discusses a number of methodological issues surrounding the appropriate respondents for descriptions and valuations of health status in different contexts; potential sources of bias in the description and valuation processes; and the psychometric integrity of alternative measurement approaches. Copyright © 2003 John Wiley & Sons, Ltd.

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  • Stavros Petrou, 2003. "Methodological issues raised by preference‐based approaches to measuring the health status of children," Health Economics, John Wiley & Sons, Ltd., vol. 12(8), pages 697-702, August.
    • Handle: RePEc:wly:hlthec:v:12:y:2003:i:8:p:697-702
    DOI: 10.1002/hec.775
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    Cited by:

    1. Gillian A. Lancaster, 2009. "Statistical issues in the assessment of health outcomes in children: a methodological review," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(4), pages 707-727.
    2. Wendy Ungar & Katherine Boydell & Sharon Dell & Brian Feldman & Deborah Marshall & Andrew Willan & James Wright, 2012. "A Parent-Child Dyad Approach to the Assessment of Health Status and Health-Related Quality of Life in Children with Asthma," PharmacoEconomics, Springer, vol. 30(8), pages 697-712, August.
    3. 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).
    4. Lisa Prosser & Scott Grosse & Eve Wittenberg, 2012. "Health Utility Elicitation," PharmacoEconomics, Springer, vol. 30(2), pages 83-86, February.
    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. Stavros Petrou & Emil Kupek, 2009. "Estimating Preference-Based Health Utilities Index Mark 3 Utility Scores for Childhood Conditions in England and Scotland," Medical Decision Making, , vol. 29(3), pages 291-303, May.
    7. Krupnick, Alan & Hoffmann, Sandra & Adamowicz, Wictor, 2005. "Economic Uncertainties in Valuing Reductions in Children's Environmental Health Risks," RFF Working Paper Series dp-05-27, Resources for the Future.
    8. Azusa Sato & Joan Costa-Font, 2014. "The Hedonic Procedural Effect of Traditional Medicines," Journal of Happiness Studies, Springer, vol. 15(5), pages 1061-1084, October.
    9. Rishworth, Andrea & Cao, Tiffany & Niraula, Ashika & Wilson, Kathi, 2023. "Navigating the quality-of-life impacts of a chronic inflammatory disease (CID) among South Asian children and parents," Social Science & Medicine, Elsevier, vol. 326(C).
    10. 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.
    11. R. Trafford Crump & Lauren M. Beverung & Ryan Lau & Rita Sieracki & Mateo Nicholson, 2017. "Reliability, Validity, and Feasibility of Direct Elicitation of Children’s Preferences for Health States," Medical Decision Making, , vol. 37(3), pages 314-326, April.
    12. 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.
    13. Katherine Stevens, 2012. "Valuation of the Child Health Utility 9D Index," PharmacoEconomics, Springer, vol. 30(8), pages 729-747, August.
    14. Eckermann, Simon & Dawber, James & Yeatman, Heather & Quinsey, Karen & Morris, Darcy, 2014. "Evaluating return on investment in a school based health promotion and prevention program: The investment multiplier for the Stephanie Alexander Kitchen Garden National Program," Social Science & Medicine, Elsevier, vol. 114(C), pages 103-112.
    15. Ungar, Wendy J. & Mirabelli, Cara & Cousins, Martha & Boydell, Katherine M., 2006. "A qualitative analysis of a dyad approach to health-related quality of life measurement in children with asthma," Social Science & Medicine, Elsevier, vol. 63(9), pages 2354-2366, November.
    16. Clazien Bouwmans & Annemarie Kolk & Mark Oppe & Saskia Schawo & Elly Stolk & Michel Agthoven & Jan Buitelaar & LeonaHakkaart Roijen, 2014. "Validity and responsiveness of the EQ-5D and the KIDSCREEN-10 in children with ADHD," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(9), pages 967-977, December.
    17. 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.
    18. Lisa Prosser & James Hammitt & Ron Keren, 2007. "Measuring Health Preferences for Use in Cost-Utility and Cost-Benefit Analyses of Interventions in Children," PharmacoEconomics, Springer, vol. 25(9), pages 713-726, September.

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