Evaluating a Decision Aid for Improving Decision Making in Patients with Early-stage Breast Cancer

  • Sarah T. Hawley
  • Lisa Newman
  • Jennifer J. Griggs
  • Mary Ann Kosir
  • Steven J. Katz
Original Research Article

DOI: 10.1007/s40271-015-0135-y

Cite this article as:
Hawley, S.T., Newman, L., Griggs, J.J. et al. Patient (2016) 9: 161. doi:10.1007/s40271-015-0135-y

Abstract

Background

Early-stage breast cancer patients face a series of complex treatment decisions, with the first typically being choice of locoregional treatment. There is a need for tools to support patients in this decision-making process.

Methods

We developed an innovative, online locoregional treatment tool based on International Patient Decision Aids Standards criteria. We evaluated its impact on patient knowledge about treatment and appraisal of decision making in a pilot study using a clinical sample of newly diagnosed, breast cancer patients who were randomized to view the decision aid website first or complete a survey prior to viewing the decision aid. Differences in knowledge and decision appraisal between the two groups were compared using t-tests and chi-square tests. Computer-generated preferences for treatment were compared with patients’ stated preferences using chi-square tests.

Results

One hundred and one newly diagnosed patients were randomized to view the website first or take a survey first. Women who viewed the website first had slightly higher, though not significantly, knowledge about surgery (p = 0.29) and reconstruction (p = 0.10) than the survey-first group. Those who viewed the website first also appraised their decision process significantly more favorably than did those who took the survey first (p < 0.05 for most decision outcomes). There was very good concordance between computer-suggested and stated treatment preferences.

Conclusion

This pilot study suggests that an interactive decision tool shows promise for supporting early-stage breast cancer patients with complicated treatment decision making.

Copyright information

© Springer International Publishing Switzerland (outside the USA) 2015

Authors and Affiliations

  • Sarah T. Hawley
    • 1
    • 4
  • Lisa Newman
    • 2
  • Jennifer J. Griggs
    • 1
  • Mary Ann Kosir
    • 3
  • Steven J. Katz
    • 1
  1. 1.Department of Internal MedicineUniversity of MichiganAnn ArborUSA
  2. 2.Department of SurgeryUniversity of MichiganAnn ArborUSA
  3. 3.Karmanos Cancer InstituteDetroitUSA
  4. 4.Ann Arbor VA Healthcare SystemAnn ArborUSA

Personalised recommendations