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Awareness and attitude of the public toward personalized medicine in Korea

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  • Iyn-Hyang Lee
  • Hye-Young Kang
  • Hae Sun Suh
  • Sukhyang Lee
  • Eun Sil Oh
  • Hotcherl Jeong

Abstract

Objectives: As personalized medicine (PM) is expected to greatly improve health outcomes, efforts have recently been made for its clinical implementation in Korea. We aimed to evaluate public awareness and attitude regarding PM. Methods: We performed a self-administered questionnaire survey to 703 adults, who participated in the survey on a voluntary basis. The primary outcome measures included public knowledge, attitude, and acceptance of PM. We conducted multinomial multivariate logistic analysis for outcome variables with three response categories and performed multivariate logistic regression analyses for dichotomous outcome variables. Results: Only 28% of participants had knowledge that genetic factors can contribute to inter-individual variations in drug response and the definition of PM (199 out of 702). Higher family income was correlated with greater knowledge concerning PM (OR = 3.76, p = 0.034). A majority of respondents preferred integrated pharmacogenomic testing over drug-specific testing and agreed to inclusion of pharmacogenomic testing in the national health examination (64% and 77%, respectively), but only 51% were willing to pay for it. Discussion: Our results identify the urgent need for public education as well as the potential health disparities in access to PM. This study helps to frame policies for implementing PM in clinical practice.

Suggested Citation

  • Iyn-Hyang Lee & Hye-Young Kang & Hae Sun Suh & Sukhyang Lee & Eun Sil Oh & Hotcherl Jeong, 2018. "Awareness and attitude of the public toward personalized medicine in Korea," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-14, February.
    • Handle: RePEc:plo:pone00:0192856
    DOI: 10.1371/journal.pone.0192856
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    1. Eric D. Green & Mark S. Guyer, 2011. "Charting a course for genomic medicine from base pairs to bedside," Nature, Nature, vol. 470(7333), pages 204-213, February.
    2. Eric S. Lander, 2011. "Initial impact of the sequencing of the human genome," Nature, Nature, vol. 470(7333), pages 187-197, February.
    3. Gail Javitt, 2010. "Which way for genetic-test regulation? Assign regulation appropriate to the level of risk," Nature, Nature, vol. 466(7308), pages 817-818, August.
    4. Peter J. Neumann & Joshua T. Cohen & James K. Hammitt & Thomas W. Concannon & Hannah R. Auerbach & ChiHui Fang & David M. Kent, 2012. "Willingness‐to‐pay for predictive tests with no immediate treatment implications: a survey of US residents," Health Economics, John Wiley & Sons, Ltd., vol. 21(3), pages 238-251, March.
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