IDEAS home Printed from https://ideas.repec.org/a/sae/medema/v38y2018i1p95-106.html
   My bibliography  Save this article

What Factors Influence Women’s Perceptions of their Systemic Recurrence Risk after Breast Cancer Treatment?

Author

Listed:
  • Kamaria L. Lee
  • Nancy K. Janz
  • Brian J. Zikmund-Fisher
  • Reshma Jagsi
  • Lauren P. Wallner
  • Allison W. Kurian
  • Steven J. Katz
  • Paul Abrahamse
  • Sarah T. Hawley

Abstract

Background. Breast cancer patients’ misunderstanding of their systemic cancer recurrence risk has consequences on decision-making and quality of life. Little is known about how women derive their risk estimates. Methods. Using Los Angeles and Georgia’s SEER registries (2014–2015), a random sample of early-stage breast cancer patients was sent surveys about 2 to 3 months after surgery ( N = 3930; RR, 68%). We conducted an inductive thematic analysis of open-ended responses about why women chose their risk estimates in a uniquely large sub-sample ( N = 1,754). Clinician estimates of systemic recurrence risk were provided for patient sub-groups with DCIS and with low-, intermediate-, and high-risk invasive disease. Women’s perceived risk of systemic recurrence (0% to 100%) was categorized as overestimation, reasonably accurate estimation, or underestimation (0% for invasive disease) and was compared across identified factors and by clinical presentation. Results. Women identified 9 main factors related to their clinical experience (e.g., diagnosis and testing; treatment) and non-clinical beliefs (e.g., uncertainty; spirituality). Women who mentioned at least one clinical experience factor were significantly less likely to overestimate their risk (12% v. 43%, P

Suggested Citation

  • Kamaria L. Lee & Nancy K. Janz & Brian J. Zikmund-Fisher & Reshma Jagsi & Lauren P. Wallner & Allison W. Kurian & Steven J. Katz & Paul Abrahamse & Sarah T. Hawley, 2018. "What Factors Influence Women’s Perceptions of their Systemic Recurrence Risk after Breast Cancer Treatment?," Medical Decision Making, , vol. 38(1), pages 95-106, January.
  • Handle: RePEc:sae:medema:v:38:y:2018:i:1:p:95-106
    DOI: 10.1177/0272989X17724441
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0272989X17724441
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0272989X17724441?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. Charles, Cathy & Gafni, Amiram & Whelan, Tim, 1997. "Shared decision-making in the medical encounter: What does it mean? (or it takes at least two to tango)," Social Science & Medicine, Elsevier, vol. 44(5), pages 681-692, March.
    2. Wändi Bruine de Bruin & Paul S. Fischbeck & Neil A. Stiber & Baruch Fischhoff, 2002. "What Number is “Fifty‐Fifty”?: Redistributing Excessive 50% Responses in Elicited Probabilities," Risk Analysis, John Wiley & Sons, vol. 22(4), pages 713-723, August.
    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. Manuel Antonio Espinoza & Andrea Manca & Karl Claxton & Mark Sculpher, 2018. "Social value and individual choice: The value of a choice‐based decision‐making process in a collectively funded health system," Health Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 28-40, February.
    2. Hyojung Tak & Gregory Ruhnke & Ya-Chen Shih, 2015. "The Association between Patient-Centered Attributes of Care and Patient Satisfaction," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 8(2), pages 187-197, April.
    3. Miller, Nancy & Weinstein, Marcie, 2007. "Participation and knowledge related to a nursing home admission decision among a working age population," Social Science & Medicine, Elsevier, vol. 64(2), pages 303-313, January.
    4. Joan Costa-Font & Cristina Vilaplana-Prieto, 2022. "Biased survival expectations and behaviours: Does domain specific information matter?," Journal of Risk and Uncertainty, Springer, vol. 65(3), pages 285-317, December.
    5. Foster, Gigi & Frijters, Paul & Schaffner, Markus & Torgler, Benno, 2018. "Expectation formation in an evolving game of uncertainty: New experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 154(C), pages 379-405.
    6. France Légaré & Annette M. O'Connor & Ian D. Graham & Georges A. Wells & Stéphane Tremblay, 2006. "Impact of the Ottawa Decision Support Framework on the Agreement and the Difference between Patients' and Physicians' Decisional Conflict," Medical Decision Making, , vol. 26(4), pages 373-390, July.
    7. Odette Wegwarth & Wolfgang Gaissmaier & Gerd Gigerenzer, 2011. "Deceiving Numbers," Medical Decision Making, , vol. 31(3), pages 386-394, May.
    8. Karnieli-Miller, Orit & Eisikovits, Zvi, 2009. "Physician as partner or salesman? Shared decision-making in real-time encounters," Social Science & Medicine, Elsevier, vol. 69(1), pages 1-8, July.
    9. Paul C. Schroy III & Karen Emmons & Ellen Peters & Julie T. Glick & Patricia A. Robinson & Maria A. Lydotes & Shamini Mylvanaman & Stephen Evans & Christine Chaisson & Michael Pignone & Marianne Prout, 2011. "The Impact of a Novel Computer-Based Decision Aid on Shared Decision Making for Colorectal Cancer Screening," Medical Decision Making, , vol. 31(1), pages 93-107, January.
    10. Mei-Chun Cheung & Derry Law & Joanne Yip & Jason Pui Yin Cheung, 2022. "Adolescents’ Experience during Brace Treatment for Scoliosis: A Qualitative Study," IJERPH, MDPI, vol. 19(17), pages 1-10, August.
    11. Meike Müller-Engelmann & Norbert Donner-Banzhoff & Heidi Keller & Lydia Rosinger & Carsten Sauer & Kerstin Rehfeldt & Tanja Krones, 2013. "When Decisions Should Be Shared," Medical Decision Making, , vol. 33(1), pages 37-47, January.
    12. Margaret Gerteis & Rosemary Borck, "undated". "Shared Decision-Making in Practice: Lessons from Implementation Efforts," Mathematica Policy Research Reports f802e52b8442486594ecda927, Mathematica Policy Research.
    13. Mark Sculpher & Amiram Gafni, 2001. "Recognizing diversity in public preferences: The use of preference sub‐groups in cost‐effectiveness analysis," Health Economics, John Wiley & Sons, Ltd., vol. 10(4), pages 317-324, June.
    14. Coast, Joanna, 2018. "A history that goes hand in hand: Reflections on the development of health economics and the role played by Social Science & Medicine, 1967–2017," Social Science & Medicine, Elsevier, vol. 196(C), pages 227-232.
    15. Ruth Astbury & Ashley Shepherd & Helen Cheyne, 2017. "Working in partnership: the application of shared decision‐making to health visitor practice," Journal of Clinical Nursing, John Wiley & Sons, vol. 26(1-2), pages 215-224, January.
    16. repec:cup:judgdm:v:13:y:2018:i:6:p:607-621 is not listed on IDEAS
    17. Vivek Goel & Carol A. Sawka & Elaine C. Thiel & Elaine H. Gort & Annette M. O’Connor, 2001. "Randomized Trial of a Patient Decision Aid for Choice of Surgical Treatment for Breast Cancer," Medical Decision Making, , vol. 21(1), pages 1-6, February.
    18. Solomon, Josie & Knapp, Peter & Raynor, D.K. & Atkin, Karl, 2013. "Worlds apart? An exploration of prescribing and medicine-taking decisions by patients, GPs and local policy makers," Health Policy, Elsevier, vol. 112(3), pages 264-272.
    19. Debra Kerr & Rosie Crone & Trisha Dunning, 2020. "Perspectives about dignity during acute care for older people and their relatives: A qualitative study," Journal of Clinical Nursing, John Wiley & Sons, vol. 29(21-22), pages 4116-4127, November.
    20. Tate, Alexandra, 2020. "Invoking death: How oncologists discuss a deadly outcome," Social Science & Medicine, Elsevier, vol. 246(C).
    21. Wirtz, Veronika & Cribb, Alan & Barber, Nick, 2006. "Patient-doctor decision-making about treatment within the consultation--A critical analysis of models," Social Science & Medicine, Elsevier, vol. 62(1), pages 116-124, January.

    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:38:y:2018:i:1:p:95-106. 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.