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A Review of the Development and Application of Generic Multi-Attribute Utility Instruments for Paediatric Populations

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  • Gang Chen
  • Julie Ratcliffe

Abstract

Multi-attribute utility instruments (MAUIs) are increasingly being used as a means of quantifying utility for the calculation of quality-adjusted life-years within the context of cost utility analysis. Traditionally, MAUIs have been developed and applied in adult populations. However, increasingly, researchers in health economics and other disciplines are recognising the importance of the measurement and valuation of health in both children and adolescents. Presently, there are nine generic MAUIs available internationally that have been used in paediatric populations: the Quality of Well-Being Scale (QWB), the Health Utility Index Mark 2 (HUI2), the HUI3, the Sixteen-dimensional measure of health-related quality of life (HRQoL) (16D), the Seventeen-dimensional measure of HRQoL (17D), the Assessment of Quality of Life 6-Dimension (AQoL-6D) Adolescent, the Child Health Utility 9D (CHU9D), the EQ-5D Youth version (EQ-5D-Y) and the Adolescent Health Utility Measure (AHUM). This paper critically reviews the development and application of the above nine MAUIs and discusses the specific challenges of health utility measurement in children and adolescents. Areas for further research relating to the development and application of generic MAUIs in paediatric populations are highlighted. Copyright Springer International Publishing Switzerland 2015

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  • 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.
    • Handle: RePEc:spr:pharme:v:33:y:2015:i:10:p:1013-1028
    DOI: 10.1007/s40273-015-0286-7
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    Cited by:

    1. 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.
    2. 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.
    3. Ramesh Lamsal & Jennifer D. Zwicker, 2017. "Economic Evaluation of Interventions for Children with Neurodevelopmental Disorders: Opportunities and Challenges," Applied Health Economics and Health Policy, Springer, vol. 15(6), pages 763-772, December.
    4. 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).
    5. 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.
    6. Valentina Prevolnik Rupel & Marko Ogorevc, 2021. "EQ-5D-Y Value Set for Slovenia," PharmacoEconomics, Springer, vol. 39(4), pages 463-471, April.
    7. Julio Gallego-Méndez & Jorge Perez-Gomez & José Ignacio Calzada-Rodríguez & Ángel Manuel Denche-Zamorano & María Mendoza-Muñoz & Jorge Carlos-Vivas & Miguel Ángel Garcia-Gordillo & Jose C. Adsuar, 2020. "Relationship between Health-Related Quality of Life and Physical Activity in Children with Hyperactivity," IJERPH, MDPI, vol. 17(8), pages 1-16, April.
    8. Ruslan Jabrayilov & Antoinette D I van Asselt & Karin M Vermeulen & Sheri Volger & Patrick Detzel & Livia Dainelli & Paul F M Krabbe & for the Pediatrics expert group, 2018. "A descriptive system for the Infant health-related Quality of life Instrument (IQI): Measuring health with a mobile app," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-14, August.
    9. Samantha Husbands & Paul Mark Mitchell & Joanna Coast, 2020. "A Systematic Review of the Use and Quality of Qualitative Methods in Concept Elicitation for Measures with Children and Young People," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 13(3), pages 257-288, June.
    10. 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.
    11. Wenjing Zhou & Anle Shen & Zhihao Yang & Pei Wang & Bin Wu & Michael Herdman & Nan Luo, 2021. "Patient-caregiver agreement and test–retest reliability of the EQ-5D-Y-3L and EQ-5D-Y-5L in paediatric patients with haematological malignancies," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(7), pages 1103-1113, September.
    12. 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.
    13. 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.
    14. Carlos King Ho Wong & Prudence Wing Hang Cheung & Nan Luo & Jason Pui Yin Cheung, 2019. "A head-to-head comparison of five-level (EQ-5D-5L-Y) and three-level EQ-5D-Y questionnaires in paediatric patients," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(5), pages 647-656, July.
    15. 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.
    16. 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.
    17. Husbands, Samantha & Mitchell, Paul Mark & Kinghorn, Philip & Byford, Sarah & Bailey, Cara & Anand, Paul & Peters, Tim J. & Floredin, Isabella & Coast, Joanna, 2024. "Is well-becoming important for children and young people? Evidence from in-depth interviews with children and young people and their parents," LSE Research Online Documents on Economics 122060, London School of Economics and Political Science, LSE Library.
    18. Ruvini M. Hettiarachchi & Peter Arrow & Sameera Senanayake & Hannah Carter & David Brain & Richard Norman & Utsana Tonmukayawul & Lisa Jamieson & Sanjeewa Kularatna, 2023. "Developing an Australian utility value set for the Early Childhood Oral Health Impact Scale-4D (ECOHIS-4D) using a discrete choice experiment," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(8), pages 1285-1296, November.
    19. 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.

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