IDEAS home Printed from https://ideas.repec.org/a/spr/patien/v14y2021i2d10.1007_s40271-020-00448-1.html
   My bibliography  Save this article

Genomic Testing for Relapsed and Refractory Lymphoid Cancers: Understanding Patient Values

Author

Listed:
  • Sarah Costa

    (Canadian Centre for Applied Research in Cancer Control, BC Cancer)

  • Dean A. Regier

    (Canadian Centre for Applied Research in Cancer Control, BC Cancer
    University of British Columbia)

  • Adam J. N. Raymakers

    (Canadian Centre for Applied Research in Cancer Control, BC Cancer
    Simon Fraser University)

  • Samantha Pollard

    (Canadian Centre for Applied Research in Cancer Control, BC Cancer)

Abstract

Background New clinical genomic assays for lymphoid cancers allow for improved disease stratification and prognostication. At present, clinical implementation has been appropriately limited, owing to a paucity of evidence to support clinical and cost effectiveness. Understanding patients’ values for precision oncology under conditions of uncertainty can be used to inform priority-setting decisions. Objectives Our objective was to ascertain patients’ qualitative preferences and attitudes for prognostic-based genomic testing. Methods Individuals who were diagnosed with lymphoid cancer between 2000 and 2018 in British Columbia, Canada, were recruited to participate in one of three focus groups. A maximum variation sampling technique was used to capture a diversity of perspectives. A patient partner was involved in the development of the focus group topic guide and presentation materials. All sessions were audio recorded and analyzed using NVivo qualitative analysis software, version 12. Results In total, 26 participants took part in focus groups held between November 2018 and February 2019. Results illustrate qualitative preference heterogeneity for situations under which individuals would be willing to undergo genomic testing for relapsed lymphoid cancers. Preferences were highly contextualized within personal experiences with disease and treatment protocols. Hypothetical willingness to pay for testing was contingent on invasiveness, the potential for treatment de-escalation, and personal health benefit. Conclusions Patients are supportive and accepting of evidentiary uncertainty up until the point at which they are required to trade-off the potential for improved quality and length of life. Demand for precision medicine is contingent on expectations for benefit alongside an acknowledgment of the opportunity cost required for implementation. The clinical implementation of precision medicine will be required to address evidentiary uncertainty surrounding personal benefit while ensuring equitable access to emerging innovations.

Suggested Citation

  • Sarah Costa & Dean A. Regier & Adam J. N. Raymakers & Samantha Pollard, 2021. "Genomic Testing for Relapsed and Refractory Lymphoid Cancers: Understanding Patient Values," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 14(2), pages 187-196, March.
  • Handle: RePEc:spr:patien:v:14:y:2021:i:2:d:10.1007_s40271-020-00448-1
    DOI: 10.1007/s40271-020-00448-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40271-020-00448-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s40271-020-00448-1?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Caroline Vass & Dan Rigby & Katherine Payne, 2017. "The Role of Qualitative Research Methods in Discrete Choice Experiments," Medical Decision Making, , vol. 37(3), pages 298-313, April.
    2. Matthew Quaife & Fern Terris-Prestholt & Gian Luca Di Tanna & Peter Vickerman, 2018. "How well do discrete choice experiments predict health choices? A systematic review and meta-analysis of external validity," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(8), pages 1053-1066, November.
    Full references (including those not matched with items on IDEAS)

    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. Magda Aguiar & Mark Harrison & Sarah Munro & Tiasha Burch & K. Julia Kaal & Marie Hudson & Nick Bansback & Tracey-Lea Laba, 2021. "Designing Discrete Choice Experiments Using a Patient-Oriented Approach," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 14(4), pages 389-397, July.
    2. Gregory Merlo & Mieke Driel & Lisa Hall, 2020. "Systematic review and validity assessment of methods used in discrete choice experiments of primary healthcare professionals," Health Economics Review, Springer, vol. 10(1), pages 1-9, December.
    3. 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).
    4. Stefan C. Wolter & Thea Zoellner, 2024. "Are parents an obstacle to gender-atypical occupational choices?," Economics of Education Working Paper Series 0216, University of Zurich, Department of Business Administration (IBW).
    5. Ozdemir, Semra & Gonzalez, Juan Marcos & Bansal, Prateek & Huynh, Vinh Anh & Sng, Ban Leong & Finkelstein, Eric, 2024. "Getting it right with discrete choice experiments: Are we hot or cold?," Social Science & Medicine, Elsevier, vol. 348(C).
    6. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part I. Macro-scale analysis of literature and integrative synthesis of empirical evidence from applied economics, experimental psychology and neuroimag," Journal of choice modelling, Elsevier, vol. 41(C).
    7. Sydenham, Rikke Vognbjerg & Jarbøl, Dorte Ejg & Hansen, Malene Plejdrup & Justesen, Ulrik Stenz & Watson, Verity & Pedersen, Line Bjørnskov, 2022. "Prescribing antibiotics: Factors driving decision-making in general practice. A discrete choice experiment," Social Science & Medicine, Elsevier, vol. 305(C).
    8. Jackson, Louise & Al-Janabi, Hareth & Roberts, Tracy & Ross, Jonthan, 2021. "Exploring young people's preferences for STI screening in the UK: A qualitative study and discrete choice experiment," Social Science & Medicine, Elsevier, vol. 279(C).
    9. Anthony Scott & Peter Sivey, 2022. "Motivation and competition in health care," Health Economics, John Wiley & Sons, Ltd., vol. 31(8), pages 1695-1712, August.
    10. Simon Deeming & Kim Edmunds & Alice Knight & Andrew Searles & Anthony P. Shakeshaft & Christopher M. Doran, 2022. "A Benefit-Cost Analysis of BackTrack, a Multi-Component, Community-Based Intervention for High-Risk Young People in a Rural Australian Setting," IJERPH, MDPI, vol. 19(16), pages 1-12, August.
    11. Scott, Anthony & Witt, Julia, 2020. "Loss aversion, reference dependence and diminishing sensitivity in choice experiments," Journal of choice modelling, Elsevier, vol. 37(C).
    12. Cattaneo, Maria Alejandra & Gschwendt, Christian & Wolter, Stefan C., 2024. "How Scary Is the Risk of Automation? Evidence from a Large Scale Survey Experiment," IZA Discussion Papers 17097, Institute of Labor Economics (IZA).
    13. Adewole, Ayooluwa & Shipworth, Michelle & Lemaire, Xavier & Sanderson, Danielle, 2023. "Peer-to-Peer energy trading, independence aspirations and financial benefits among Nigerian households," Energy Policy, Elsevier, vol. 174(C).
    14. Werbeck, Anna, 2024. "Stated preferences and actual choices in german health insurance," Ruhr Economic Papers 1091, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    15. Osborne, Matthew & Lambe, Fiona & Ran, Ylva & Dehmel, Naira & Tabacco, Giovanni Alberto & Balungira, Joshua & Pérez-Viana, Borja & Widmark, Erik & Holmlid, Stefan & Verschoor, Arjan, 2022. "Designing development interventions: The application of service design and discrete choice experiments in complex settings," World Development, Elsevier, vol. 158(C).
    16. de Bekker-Grob, E.W. & Donkers, B. & Bliemer, M.C.J. & Veldwijk, J. & Swait, J.D., 2020. "Can healthcare choice be predicted using stated preference data?," Social Science & Medicine, Elsevier, vol. 246(C).
    17. Wang, Sophie Y. & Cantarelli, Paola & Groene, Oliver & Stargardt, Tom & Belle, Nicola, 2023. "Patient expectations do matter - Experimental evidence on antibiotic prescribing decisions among hospital-based physicians," Health Policy, Elsevier, vol. 128(C), pages 11-17.
    18. Colene Bentley & Sara Izadi-Najafabadi & Adam Raymakers & Helen McTaggart-Cowan, 2022. "Qualitative Research Informing a Preference Study on Selecting Cannabis for Cancer Survivor Symptom Management: Design of a Discrete Choice Experiment," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 15(4), pages 497-507, July.
    19. Ou Yang & Peter Sivey & Andrea M. de Silva & Anthony Scott, 2020. "Parents' Demand for Sugar Sweetened Beverages for Their Pre‐School Children: Evidence from a Stated‐Preference Experiment," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 480-504, March.
    20. Lina Isacs & Cecilia Håkansson & Therese Lindahl & Ulrika Gunnarsson-Östling & Pernilla Andersson, 2024. "‘I didn’t count “willingness to pay†as part of the value’: Monetary valuation through respondents’ perspectives," Environmental Values, , vol. 33(2), pages 163-188, April.

    More about this item

    Statistics

    Access and download statistics

    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:spr:patien:v:14:y:2021:i:2:d:10.1007_s40271-020-00448-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.