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Developing an Australian utility value set for the Early Childhood Oral Health Impact Scale-4D (ECOHIS-4D) using a discrete choice experiment

Author

Listed:
  • Ruvini M. Hettiarachchi

    (Queensland University of Technology (QUT))

  • Peter Arrow

    (University of Adelaide
    Dental Health Services
    University of Western Australia)

  • Sameera Senanayake

    (Queensland University of Technology (QUT))

  • Hannah Carter

    (Queensland University of Technology (QUT))

  • David Brain

    (Queensland University of Technology (QUT))

  • Richard Norman

    (Curtin University)

  • Utsana Tonmukayawul

    (Deakin University)

  • Lisa Jamieson

    (University of Adelaide)

  • Sanjeewa Kularatna

    (Queensland University of Technology (QUT))

Abstract

Purpose Preference-based quality of life measures (PBMs) are used to generate quality-adjusted life years (QALYs) in economic evaluations. A PBM consists of (1) a health state classification system and (2) a utility value set that allows the instrument responses to be converted to QALYs. A new, oral health-specific classification system, the Early Childhood Oral Health Impact Scale-4D (ECOHIS-4D) has recently been developed. The aim of this study was to generate an Australian utility value set for the ECOHIS-4D. Methods A discrete choice experiment with duration (DCETTO) was used as the preference elicitation technique. An online survey was administered to a representative sample of Australian adults over 18 years. Respondents were given 14 choice tasks (10 tasks from the DCE design of 50 choice sets blocked into five blocks, 2 practice tasks, a repeated and a dominant task). Data were analyzed using the conditional logit model. Results A total of 1201 respondents from the Australian general population completed the survey. Of them, 69% (n = 829) perceived their oral health status to be good, very good, or excellent. The estimated coefficients from the conditional logit models were in the expected directions and were statistically significant (p

Suggested Citation

  • 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.
    • Handle: RePEc:spr:eujhec:v:24:y:2023:i:8:d:10.1007_s10198-022-01542-x
    DOI: 10.1007/s10198-022-01542-x
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    References listed on IDEAS

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    1. Edward J. D. Webb & John O’Dwyer & David Meads & Paul Kind & Penny Wright, 2020. "Transforming discrete choice experiment latent scale values for EQ-5D-3L using the visual analogue scale," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(5), pages 787-800, July.
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    4. 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.
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    7. Tracy A. Comans & Kim-Huong Nguyen & Julie Ratcliffe & Donna Rowen & Brendan Mulhern, 2020. "Valuing the AD-5D Dementia Utility Instrument: An Estimation of a General Population Tariff," PharmacoEconomics, Springer, vol. 38(8), pages 871-881, August.
    8. Katherine Stevens, 2012. "Valuation of the Child Health Utility 9D Index," PharmacoEconomics, Springer, vol. 30(8), pages 729-747, August.
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    More about this item

    Keywords

    Preference based; Quality-adjusted life years; Children; Health state valuations; Discrete choice experiments; Economic evaluation; Oral health; Early childhood; Pediatric;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

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