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Willingness‐to‐pay for predictive tests with no immediate treatment implications: a survey of US residents

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  • Peter J. Neumann
  • Joshua T. Cohen
  • James K. Hammitt
  • Thomas W. Concannon
  • Hannah R. Auerbach
  • ChiHui Fang
  • David M. Kent

Abstract

We assessed how much, if anything, people would pay for a laboratory test that predicted their future disease status. A questionnaire was administered via an internet‐based survey to a random sample of adult US respondents. Each respondent answered questions about two different scenarios, each of which specified: one of four randomly selected diseases (Alzheimer's, arthritis, breast cancer, or prostate cancer); an ex ante risk of developing the disease (randomly designated 10 or 25%); and test accuracy (randomly designated perfect or ‘not perfectly accurate’). Willingness‐to‐pay (WTP) was elicited with a double‐bounded, dichotomous‐choice approach. Of 1463 respondents who completed the survey, most (70‐88%, depending on the scenario) were inclined to take the test. Inclination to take the test was lower for Alzheimer's and higher for prostate cancer compared with arthritis, and rose somewhat with disease prevalence and for the perfect versus imperfect test [Correction made here after initial online publication.]. Median WTP varied from $109 for the imperfect arthritis test to $263 for the perfect prostate cancer test. Respondents' preferences for predictive testing, even in the absence of direct treatment consequences, reflected health and non‐health related factors, and suggests that conventional cost‐effectiveness analyses may underestimate the value of testing. Copyright © 2010 John Wiley & Sons, Ltd.

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  • 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.
    • Handle: RePEc:wly:hlthec:v:21:y:2012:i:3:p:238-251
    DOI: 10.1002/hec.1704
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    2. Talya Miron-Shatz & Yaniv Hanoch & Glen M. Doniger & Zehra B. Omer & Elissa M. Ozanne, 2014. "Subjective but not objective numeracy influences willingness to pay for BRCA1/2 genetic testing," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 9(2), pages 152-158, March.
    3. Menegaki, Angeliki, N. & Olsen, Søren Bøye & Tsagarakis, Konstantinos P., 2016. "Towards a common standard – A reporting checklist for web-based stated preference valuation surveys and a critique for mode surveys," Journal of choice modelling, Elsevier, vol. 18(C), pages 18-50.
    4. Rapp, Thomas, 2014. "Patients' diagnosis decisions in Alzheimer's disease: The influence of family factors," Social Science & Medicine, Elsevier, vol. 118(C), pages 9-16.
    5. McKay, Lettie & DeLong, Karen L. & Jensen, Kimberly L. & Griffith, Andrew P. & Boyer, Christopher N., 2018. "Restaurants’ Willingness to Pay for Tennessee Certified Beef," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266578, Southern Agricultural Economics Association.
    6. Michael R. Eber & Cass R. Sunstein & James K. Hammitt & Jennifer M. Yeh, 2021. "The modest effects of fact boxes on cancer screening," Journal of Risk and Uncertainty, Springer, vol. 62(1), pages 29-54, February.
    7. 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.
    8. repec:cup:judgdm:v:9:y:2014:i:2:p:152-158 is not listed on IDEAS
    9. Phillips Kathryn A. & Sakowski Julie Ann & Liang Su-Ying & Ponce Ninez A., 2013. "Economic Perspectives on Personalized Health Care and Prevention," Forum for Health Economics & Policy, De Gruyter, vol. 16(2), pages 57-86, June.
    10. Peyron, Christine & Pélissier, Aurore & Béjean, Sophie, 2018. "Preference heterogeneity with respect to whole genome sequencing. A discrete choice experiment among parents of children with rare genetic diseases," Social Science & Medicine, Elsevier, vol. 214(C), pages 125-132.
    11. Azimatun Noor Aizuddin & Abdul Rahman Ramdzan & Sharifah Azween Syed Omar & Zuria Mahmud & Zarina A. Latiff & Salleh Amat & Keng Wee Teik & Ch’ng Gaik Siew & Haniza Rais & Syed Mohamed Aljunid, 2021. "Genetic Testing for Cancer Risk: Is the Community Willing to Pay for It?," IJERPH, MDPI, vol. 18(16), pages 1-11, August.

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