Skip to main content

Advertisement

Log in

Implementation of a Novel Patient Decision Aid for Women with Elevated Breast Cancer Risk Who Are Considering MRI Screening: A Pilot Study

  • Breast Oncology
  • Published:
Annals of Surgical Oncology Aims and scope Submit manuscript

Abstract

Purpose

To determine the feasibility and acceptability of using a patient decision aid (DA) for women with elevated breast cancer risk who are considering MRI screening.

Methods

This pilot study employed a mixed methods design to develop, modify, and test an interactive DA. The DA was administered among a consecutive patient sample with an estimated Tyrer-Cuzick v.8 lifetime breast cancer risk of 20% or greater and without a pathologic genetic mutation. The decisional conflict scale was used to measure decisional conflict. Post-intervention provider and patient feedback evaluated shared decision-making, feasibility, and acceptability.

Results

Twenty-four patients participated, with a median age of 44 years. Prior to DA use, sixteen patients (67%) were unsure whether to add MRI to their screening, six patients elected MRI (25%), and two patients declined MRI (8%). Following DA use, thirteen of sixteen of the initially undecided participants (81%) established a preference, with eleven electing to add MRI screening. Of participants with an initial preference, all maintained the same decision following use of the DA. Prior to the DA, the median decisional conflict score among participants was 25% (range 0–60%) compared with 0% (range 0–25%) after the DA. Healthcare providers reported that the DA was useful and easily incorporated into clinical workflow.

Conclusions

This pilot study shows that there may be a benefit to DA utilization in the high-risk breast cancer clinic to guide shared decision-making in establishing a screening preference. The findings warrant further research to test the use of the DA in a larger, multi-site trial.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Saslow D, Boetes C, Burke W, et al. American Cancer Society Guidelines for breast screening with MRI as an adjunct to mammography. CA Cancer J Clin. 2007;57(2):75–89.

    Article  PubMed  Google Scholar 

  2. National Comprehensive Cancer Network. NCCN Guidelines for breast cancer screening and diagnosis. 2023. https://www.nccn.org. Accessed 18 Apr 2023.

  3. Jiang X, McGuinness JE, Sin M, Silverman T, Kukafka R, Crew KD. Identifying women at high risk for breast cancer using data from the electronic health record compared with self-report. JCO Clin Cancer Inform. 2019;3:1–8.

    PubMed  Google Scholar 

  4. Freedman A, Graubard B, Rao S, McCaskill-Stevens W, Ballard-Barbash R, Gail M. Estimates of the number of U.S. women who could benefit from tamoxifen for breast cancer chemoprevention. J Natl Cancer Inst. 2003;95(7):526–32.

    Article  CAS  PubMed  Google Scholar 

  5. Breast Cancer Surveillance Consortium. 2023. http://www.bcsc-research.org/. Accessed 18 Apr 2023.

  6. Prummel MV, Done SJ, Muradali D, et al. Digital compared to screen-film mammography: breast cancer prognostic features in an organized screening program. Breast Cancer Res Treat. 2014;147(2):389–99.

    Article  PubMed  Google Scholar 

  7. Othman E, Wang J, Sprague BL, et al. Comparison of false positive rates for screening breast magnetic resonance imaging (MRI) in high risk women performed on stacked versus alternating schedules. SpringerPlus. 2015;4(1):77. https://doi.org/10.1186/s40064-015-0793-1.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Brewer NT, Salz T, Lillie SE. Systematic review: the long-term effects of false-positive mammograms. Ann Intern Med. 2007;146(7):502–10.

    Article  PubMed  Google Scholar 

  9. Dabbous FM, Dolecek TA, Berbaum ML, et al. Impact of a false-positive screening mammogram on subsequent screening behavior and stage at breast cancer diagnosis. Cancer Epidemiol Biomark Prev. 2017;26(3):397–403.

    Article  Google Scholar 

  10. Nelson HD, Pappas M, Cantor A, Griffin J, Daeges M, Humphrey L. Harms of breast cancer screening: systematic review to update the 2009 U.S. preventive services task force recommendation. Ann Intern Med. 2016;164(4):256–67.

    Article  PubMed  Google Scholar 

  11. Partnering with patients to drive shared decisions, better value, and care improvement: Workshop Proceedings. National Academies Press; 2014.

  12. Breast Screening Decisions. 2023. https://bsd.weill.cornell.edu/#/. Accessed 18 Apr 2023.

  13. Ikonopedia IBIS: online Tyrer-Cuzick model breast cancer risk evaluation tool. 2023. https://ibis.ikonopedia.com/. Accessed 12 Apr 2023.

  14. Hollen PJ, Gralla RJ, Jones RA, et al. A theory-based decision aid for patients with cancer: results of feasibility and acceptability testing of DecisionKEYS for cancer. Support Care Cancer. 2013;21(3):889–99.

    Article  PubMed  Google Scholar 

  15. Janis IL, Mann L. A theoretical framework for decision counseling. Yale University Press; 1982.

    Google Scholar 

  16. Janis IL, Mann L. Decision making: a psychological analysis of conflict, choice, and commitment. 8th edn. Free Press; 1979.

    Google Scholar 

  17. Chu C, Yoder J, Smolkin M, Hollen PJ, Dengel LT. A decision aid for patients with minimally suspicious screening mammograms: a pilot study. Oncol Nurs Forum. 2022;49(5):471–9.

    PubMed  Google Scholar 

  18. O’Connor AM, Rostom A, Fiset V, et al. Decision aids for patients facing health treatment or screening decisions: systematic review. BMJ. 1999;319(7212):731–4.

    Article  PubMed  PubMed Central  Google Scholar 

  19. O’Connor AM, Jacobsen MJ, Stacey D. An evidence-based approach to managing women’s decisional conflict. J Obstet Gynecol Neonatal Nurs. 2002;31(5):570–81.

    Article  PubMed  Google Scholar 

  20. O’Connor A. Decisional conflict scale. 2003. https://decisionaid.ohri.ca/docs/develop/User_Manuals/UM_decisional_conflict.pdf.

  21. RStudio Team (2020). RStudio: integrated development for R. RStudio, PBC, Boston, MA. http://www.rstudio.com/.

  22. Stacey D, Légaré F, Lewis K, et al. Decision aids for people facing health treatment or screening decisions. Cochrane Database Syst Rev. 2017. https://doi.org/10.1002/14651858.CD001431.pub5.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Fowler FJ, Gallagher PM, Drake KM, Sepucha KR. Decision dissonance: evaluating an approach to measuring the quality of surgical decision making. Jt Comm J Qual Patient Saf. 2013;39(3):136–44.

    PubMed  PubMed Central  Google Scholar 

  24. Frongillo M, Feibelmann S, Belkora J, Lee C, Sepucha K. Is there shared decision making when the provider makes a recommendation? Patient Educ Couns. 2013;90(1):69–73.

    Article  PubMed  Google Scholar 

  25. Rosenberg SM, Tracy MS, Meyer ME, et al. Perceptions, knowledge, and satisfaction with contralateral prophylactic mastectomy among young women with breast cancer: a cross-sectional survey. Ann Intern Med. 2013;159(6):373–81.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Sepucha K, Feibelmann S, Chang Y, et al. Factors associated with the quality of patients’ surgical decisions for treatment of hip and knee osteoarthritis. J Am Coll Surg. 2013;217(4):694–701.

    Article  PubMed  Google Scholar 

  27. Sepucha KR, Borkhoff CM, Lally J, et al. Establishing the effectiveness of patient decision aids: key constructs and measurement instruments. BMC Med Inform Decis Mak. 2013;13(2):1–11. https://doi.org/10.1186/1472-6947-13-S2-S12.

    Article  Google Scholar 

  28. Joseph-Williams N, Edwards A, Elwyn G. Power imbalance prevents shared decision making. BMJ. 2014;348:g3178. https://doi.org/10.1136/bmj.g3178.

    Article  PubMed  Google Scholar 

  29. Légaré F, Ratté S, Gravel K, Graham ID. Barriers and facilitators to implementing shared decision-making in clinical practice: update of a systematic review of health professionals’ perceptions. Patient Educ Couns. 2008;73(3):526–35.

    Article  PubMed  Google Scholar 

Download references

Acknowledgment

Financial support for this study was provided entirely by a Grant from the University of Virginia, Internal Department of Surgery Grant.

Funding

Research supported by a Pilot Project Grant from the University of Virginia, Internal Department of Surgery Grant. The funding agreement ensured the authors’ independence in designing the study, interpreting the data, writing, and publishing the report.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Crystal D. Chu PhD, RN.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chu, C., Smith, C.E., Gorski, J. et al. Implementation of a Novel Patient Decision Aid for Women with Elevated Breast Cancer Risk Who Are Considering MRI Screening: A Pilot Study. Ann Surg Oncol 30, 6152–6158 (2023). https://doi.org/10.1245/s10434-023-13901-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1245/s10434-023-13901-w

Keywords

Navigation