IDEAS home Printed from https://ideas.repec.org/a/sae/medema/v35y2015i6p734-744.html
   My bibliography  Save this article

Value of Genetic Testing for Hereditary Colorectal Cancer in a Probability-Based US Online Sample

Author

Listed:
  • Sara J. Knight
  • Ateesha F. Mohamed
  • Deborah A. Marshall
  • Uri Ladabaum
  • Kathryn A. Phillips
  • Judith M. E. Walsh

Abstract

Background . While choices about genetic testing are increasingly common for patients and families, and public opinion surveys suggest public interest in genomics, it is not known how adults from the general population value genetic testing for heritable conditions. We sought to understand in a US sample the relative value of the characteristics of genetic tests to identify risk of hereditary colorectal cancer, among the first genomic applications with evidence to support its translation to clinical settings. Methods . A Web-enabled choice-format conjoint survey was conducted with adults age 50 years and older from a probability-based US panel. Participants were asked to make a series of choices between 2 hypothetical blood tests that differed in risk of false-negative test, privacy, and cost. Random parameters logit models were used to estimate preferences, the dollar value of genetic information, and intent to have genetic testing. Results . A total of 355 individuals completed choice-format questions. Cost and privacy were more highly valued than reducing the chance of a false-negative result. Most (97% [95% confidence interval (CI)], 95%−99%) would have genetic testing to reduce the risk of dying of colorectal cancer in the best scenario (no false negatives, results disclosed to primary care physician). Only 41% (95% CI, 25%−57%) would have genetic testing in the worst case (20% false negatives, results disclosed to insurance company). Conclusions . Given the characteristics and levels included in the choice, if false-negative test results are unlikely and results are shared with a primary care physician, the majority would have genetic testing. As genomic services become widely available, primary care professionals will need to be increasingly knowledgeable about genetic testing decisions.

Suggested Citation

  • Sara J. Knight & Ateesha F. Mohamed & Deborah A. Marshall & Uri Ladabaum & Kathryn A. Phillips & Judith M. E. Walsh, 2015. "Value of Genetic Testing for Hereditary Colorectal Cancer in a Probability-Based US Online Sample," Medical Decision Making, , vol. 35(6), pages 734-744, August.
    • Handle: RePEc:sae:medema:v:35:y:2015:i:6:p:734-744
    DOI: 10.1177/0272989X14565820
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0272989X14565820
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0272989X14565820?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Semra Ozdemir & Jia Jia Lee & Isha Chaudhry & Remee Rose Quintana Ocampo, 2022. "A Systematic Review of Discrete Choice Experiments and Conjoint Analysis on Genetic Testing," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 15(1), pages 39-54, January.
    2. Maria C. McCarthy & Richard De Abreu Lourenco & Laura J. McMillan & Elena Meshcheriakova & Alice Cao & Lynn Gillam, 2020. "Finding Out What Matters in Decision-Making Related to Genomics and Personalized Medicine in Pediatric Oncology: Developing Attributes to Include in a Discrete Choice Experiment," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 13(3), pages 347-361, June.
    3. N. Morrish & T. Snowsill & S. Dodman & A. Medina-Lara, 2024. "Preferences for Genetic Testing to Predict the Risk of Developing Hereditary Cancer: A Systematic Review of Discrete Choice Experiments," Medical Decision Making, , vol. 44(3), pages 252-268, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhifeng Gao & Ted C. Schroeder, 2009. "Consumer responses to new food quality information: are some consumers more sensitive than others?," Agricultural Economics, International Association of Agricultural Economists, vol. 40(3), pages 339-346, May.
    2. Cheng, Leilei & Yin, Changbin & Chien, Hsiaoping, 2015. "Demand for milk quantity and safety in urban China: evidence from Beijing and Harbin," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 59(2), April.
    3. Johannes Buggle & Thierry Mayer & Seyhun Orcan Sakalli & Mathias Thoenig, 2023. "The Refugee’s Dilemma: Evidence from Jewish Migration out of Nazi Germany," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(2), pages 1273-1345.
    4. Christelis, Dimitris & Dobrescu, Loretti I. & Motta, Alberto, 2020. "Early life conditions and financial risk-taking in older age," The Journal of the Economics of Ageing, Elsevier, vol. 17(C).
    5. Ortega, David L. & Wang, H. Holly & Wu, Laping & Hong, Soo Jeong, 2015. "Retail channel and consumer demand for food quality in China," China Economic Review, Elsevier, vol. 36(C), pages 359-366.
    6. Doyle, Orla & Fidrmuc, Jan, 2006. "Who favors enlargement?: Determinants of support for EU membership in the candidate countries' referenda," European Journal of Political Economy, Elsevier, vol. 22(2), pages 520-543, June.
    7. Tovar, Jorge, 2012. "Consumers’ Welfare and Trade Liberalization: Evidence from the Car Industry in Colombia," World Development, Elsevier, vol. 40(4), pages 808-820.
    8. Pereira, Pedro & Ribeiro, Tiago, 2011. "The impact on broadband access to the Internet of the dual ownership of telephone and cable networks," International Journal of Industrial Organization, Elsevier, vol. 29(2), pages 283-293, March.
    9. Mark Morrison & Craig Nalder, 2009. "Willingness to Pay for Improved Quality of Electricity Supply Across Business Type and Location," The Energy Journal, , vol. 30(2), pages 117-134, April.
    10. Simon P. Anderson & André de Palma, 2012. "Competition for attention in the Information (overload) Age," RAND Journal of Economics, RAND Corporation, vol. 43(1), pages 1-25, March.
    11. Mtimet, Nadhem & Ujiie, Kiyokazu & Kashiwagi, Kenichi & Zaibet, Lokman & Nagaki, Masakazu, 2011. "The effects of Information and Country of Origin on Japanese Olive Oil Consumer Selection," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114642, European Association of Agricultural Economists.
    12. Chavez, Daniel E. & Palma, Marco A. & Nayga, Rodolfo M. & Mjelde, James W., 2020. "Product availability in discrete choice experiments with private goods," Journal of choice modelling, Elsevier, vol. 36(C).
    13. Doherty, Edel & Campbell, Danny, 2011. "Demand for improved food safety and quality: a cross-regional comparison," 85th Annual Conference, April 18-20, 2011, Warwick University, Coventry, UK 108791, Agricultural Economics Society.
    14. Abdurrahman B. Aydemir & Erkan Duman, 2021. "Migrant Networks and Destination Choice: Evidence from Moves across Turkish Provinces," Koç University-TUSIAD Economic Research Forum Working Papers 2109, Koc University-TUSIAD Economic Research Forum.
    15. Brown, Sarah & Greene, William H. & Harris, Mark N. & Taylor, Karl, 2015. "An inverse hyperbolic sine heteroskedastic latent class panel tobit model: An application to modelling charitable donations," Economic Modelling, Elsevier, vol. 50(C), pages 228-236.
    16. Divine Ikenwilo & Sebastian Heidenreich & Mandy Ryan & Colette Mankowski & Jameel Nazir & Verity Watson, 2018. "The Best of Both Worlds: An Example Mixed Methods Approach to Understand Men’s Preferences for the Treatment of Lower Urinary Tract Symptoms," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 11(1), pages 55-67, February.
    17. Paleti, Rajesh, 2018. "Generalized multinomial probit Model: Accommodating constrained random parameters," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 248-262.
    18. Grzybowski, Lukasz & Hasbi, Maude & Liang, Julienne, 2018. "Transition from copper to fiber broadband: The role of connection speed and switching costs," Information Economics and Policy, Elsevier, vol. 42(C), pages 1-10.
    19. Filiz-Ozbay, Emel & Guryan, Jonathan & Hyndman, Kyle & Kearney, Melissa & Ozbay, Erkut Y., 2015. "Do lottery payments induce savings behavior? Evidence from the lab," Journal of Public Economics, Elsevier, vol. 126(C), pages 1-24.
    20. Bouscasse, Hélène & de Lapparent, Matthieu, 2019. "Perceived comfort and values of travel time savings in the Rhône-Alpes Region," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 370-387.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:medema:v:35:y:2015:i:6:p:734-744. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.