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Eliciting preferences for medical devices in South Korea: A discrete choice experiment

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  • Lee, Hye-Jae
  • Bae, Eun-Young

Abstract

This study aims to identify the attributes that contribute to the value of medical devices and quantify the relative importance of them using a discrete choice experiment. Based on a literature review and expert consultation, seven attributes and their levels were identified—severity of disease (2), availability of substitutes (2), improvement in procedure (3), improvement in clinical outcomes (2), increase in survival (2), improvement in quality of life (3), and cost (4). Among 576 hypothetical profiles, optimal choice sets with 20 choices were developed and experts experienced in health technology assessment and reimbursement decision making in South Korea were surveyed. A total of 102 respondents participated in the survey. The results of the random-effect probit model showed that among the seven attributes, six, except for improvement in procedure, had a significant impact on respondents’ choices on medical devices. Respondents were willing to pay the highest amount for devices that provided substantial improvements in quality of life, followed by increased survival, improved clinical outcome, treatment without substitutes, and technology for treating severe diseases. The findings of this experiment will inform decision-makers of the relative importance of the criteria and help them in reimbursement decision making of medical devices.

Suggested Citation

  • Lee, Hye-Jae & Bae, Eun-Young, 2017. "Eliciting preferences for medical devices in South Korea: A discrete choice experiment," Health Policy, Elsevier, vol. 121(3), pages 243-249.
    • Handle: RePEc:eee:hepoli:v:121:y:2017:i:3:p:243-249
    DOI: 10.1016/j.healthpol.2017.01.002
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    References listed on IDEAS

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    1. Esther Bekker-Grob & Bas Donkers & Marcel Jonker & Elly Stolk, 2015. "Sample Size Requirements for Discrete-Choice Experiments in Healthcare: a Practical Guide," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 8(5), pages 373-384, October.
    2. Mandy Ryan & Karen Gerard & Gillian Currie, 2012. "Using Discrete Choice Experiments in Health Economics," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 41, Edward Elgar Publishing.
    3. Esther W. de Bekker‐Grob & Mandy Ryan & Karen Gerard, 2012. "Discrete choice experiments in health economics: a review of the literature," Health Economics, John Wiley & Sons, Ltd., vol. 21(2), pages 145-172, February.
    4. Deborah Marshall & John Bridges & Brett Hauber & Ruthanne Cameron & Lauren Donnalley & Ken Fyie & F. Reed Johnson, 2010. "Conjoint Analysis Applications in Health — How are Studies being Designed and Reported?," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 3(4), pages 249-256, December.
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    Cited by:

    1. Peter Ghijben & Yuanyuan Gu & Emily Lancsar & Silva Zavarsek, 2018. "Revealed and Stated Preferences of Decision Makers for Priority Setting in Health Technology Assessment: A Systematic Review," PharmacoEconomics, Springer, vol. 36(3), pages 323-340, March.
    2. van de Pol, Jeroen M. & Heringa, Mette & Koster, Ellen S. & Bouvy, Marcel L., 2021. "Preferences of patients regarding community pharmacy services: A discrete choice experiment," Health Policy, Elsevier, vol. 125(11), pages 1415-1420.
    3. Wenbo Li & Ruyin Long & Hong Chen & Baoqi Dou & Feiyu Chen & Xiao Zheng & Zhengxia He, 2020. "Public Preference for Electric Vehicle Incentive Policies in China: A Conjoint Analysis," IJERPH, MDPI, vol. 17(1), pages 1-16, January.
    4. Vikas Soekhai & Esther W. Bekker-Grob & Alan R. Ellis & Caroline M. Vass, 2019. "Discrete Choice Experiments in Health Economics: Past, Present and Future," PharmacoEconomics, Springer, vol. 37(2), pages 201-226, February.

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