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Measuring Health Spillover Effects in Caregivers of Children with Autism Spectrum Disorder: A Comparison of the EQ-5D-3L and SF-6D

Author

Listed:
  • Clare C. Brown

    (University of Arkansas for Medical Sciences)

  • J. Mick Tilford

    (University of Arkansas for Medical Sciences)

  • Nalin Payakachat

    (University of Arkansas for Medical Sciences)

  • D. Keith Williams

    (University of Arkansas for Medical Sciences)

  • Karen A. Kuhlthau

    (Harvard Medical School
    Massachusetts General Hospital)

  • Jeffrey M. Pyne

    (Center for Mental Healthcare and Outcomes Research, Central Arkansas Veterans Healthcare System and Psychiatric Research Institute, University of Arkansas for Medical Sciences)

  • Renske J. Hoefman

    (Erasmus University)

  • Werner B. F. Brouwer

    (Erasmus University)

Abstract

Background and Objective Healthcare interventions that improve the health of children with autism spectrum disorder (ASD) have the potential to affect the health of caregivers. This study compares the three-level EuroQoL-5 Dimension (EQ-5D-3L) and the Short Form-6 Dimension (SF-6D) in their ability to value such spillover effects in caregivers. Methods Clinical data collected from two Autism Treatment Network (ATN) sites was combined with survey data of caregivers of children diagnosed with ASD. Caregivers completed instruments by proxy describing child health and completed the EQ-5D-3L and SF-6D preference-weighted instruments to describe their own health. Results There was a strong correlation between the health utility scores of the two preference-weighted instruments (ρ = 0.6172, p

Suggested Citation

  • Clare C. Brown & J. Mick Tilford & Nalin Payakachat & D. Keith Williams & Karen A. Kuhlthau & Jeffrey M. Pyne & Renske J. Hoefman & Werner B. F. Brouwer, 2019. "Measuring Health Spillover Effects in Caregivers of Children with Autism Spectrum Disorder: A Comparison of the EQ-5D-3L and SF-6D," PharmacoEconomics, Springer, vol. 37(4), pages 609-620, April.
  • Handle: RePEc:spr:pharme:v:37:y:2019:i:4:d:10.1007_s40273-019-00789-2
    DOI: 10.1007/s40273-019-00789-2
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    References listed on IDEAS

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    1. Tara Lavelle & Eve Wittenberg & Kara Lamarand & Lisa Prosser, 2014. "Variation in the Spillover Effects of Illness on Parents, Spouses, and Children of the Chronically Ill," Applied Health Economics and Health Policy, Springer, vol. 12(2), pages 117-124, April.
    2. Dolan, Paul, 2000. "The measurement of health-related quality of life for use in resource allocation decisions in health care," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 32, pages 1723-1760, Elsevier.
    3. Renske J. Hoefman & Job Exel & Werner B. F. Brouwer, 2017. "Measuring Care-Related Quality of Life of Caregivers for Use in Economic Evaluations: CarerQol Tariffs for Australia, Germany, Sweden, UK, and US," PharmacoEconomics, Springer, vol. 35(4), pages 469-478, April.
    4. John Brazier & Jennifer Roberts & Aki Tsuchiya & Jan Busschbach, 2004. "A comparison of the EQ‐5D and SF‐6D across seven patient groups," Health Economics, John Wiley & Sons, Ltd., vol. 13(9), pages 873-884, September.
    5. Stavros Petrou & Christine Hockley, 2005. "An investigation into the empirical validity of the EQ‐5D and SF‐6D based on hypothetical preferences in a general population," Health Economics, John Wiley & Sons, Ltd., vol. 14(11), pages 1169-1189, November.
    6. A. J. Culyer & J. P. Newhouse (ed.), 2000. "Handbook of Health Economics," Handbook of Health Economics, Elsevier, edition 1, volume 1, number 1.
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    1. Shitong Xie & Jing Wu & Gang Chen, 2024. "Comparative performance and mapping algorithms between EQ-5D-5L and SF-6Dv2 among the Chinese general population," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(1), pages 7-19, February.
    2. Henry, Edward & Cullinan, John, 2021. "Mental health spillovers from serious family illness: Doubly robust estimation using EQ-5D-5L population normative data," Social Science & Medicine, Elsevier, vol. 279(C).

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