Patients newly diagnosed with breast cancer face a series of complex decisions regarding locoregional and systemic treatment. Currently many of these decisions do not meet the definition of a high quality decision, defined as one that is both informed (i.e., based on an accurate understanding of the treatment risks and benefits) and preference-concordant (i.e., consistent with the patients'underlying preferences). Moreover, the introduction of evaluative tests has made these decisions more complicated for many patients. There is a need to improve the quality of locoregional and systemic treatment decisions for breast cancer patients, and to help patients understand the role of evaluative tests in this decision process. Ensuring patients can deliberate effectively about these decisions, assert their views and communicate with their clinicians is likely to improve their overall decision preparedness and satisfaction. Project 3 will focus on the third pillar of individualized care by evaluating the impact of an innovative decision tool on locoregional and systemic therapy decision making for newly diagnosed breast cancer patients. The innovative online decision tool has been developed and tested over the past two years by the CanSORT team (R21 CA129859). Pilot data suggests that this tool has a positive impact on patient knowledge and decision outcomes. The goal of project 3 is to evaluate the impact of this tool, after it is enhanced in collaboration with our Communication and Dissemination Core, on the quality of decision making for locoregional and systemic breast cancer treatment decision making. We will conduct a randomized controlled trial (RCT) of 444 newly diagnosed patients with invasive early stage breast cancer, seen by 28-30 surgeons in two SEER catchment areas. Patients will be randomized to view our comprehensive decision tool or a """"""""state of the art"""""""" existing website. The primary outcomes will be the rate of high quality decisions about locoregional and systemic therapy for patients viewing the CanSORT tool vs. the existing website. Additional outcomes will include patient knowledge about evaluative tests and the extent of decision deliberation. The results of this RCT will be highly relevant to future breast cancer patients making these decisions and to their clinicians.

Public Health Relevance

Breast cancer patients make many complex decisions from locoregional through systemic treatment. Ensuring these decisions are high quality is a priority. Project 3 will deploy and evaluate an innovative decision tool designed to improve locoregional and systemic breast cancer treatment decision making. The results can be translated into efforts to improve individualized decicision making for future patients.

National Institute of Health (NIH)
National Cancer Institute (NCI)
Research Program Projects (P01)
Project #
Application #
Study Section
Special Emphasis Panel (ZCA1-RPRB-B)
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
University of Michigan Ann Arbor
Ann Arbor
United States
Zip Code
Martinez, Kathryn A; Resnicow, Ken; Williams, Geoffrey C et al. (2016) Does physician communication style impact patient report of decision quality for breast cancer treatment? Patient Educ Couns 99:1947-1954
Wallner, Lauren P; Martinez, Kathryn A; Li, Yun et al. (2016) Use of Online Communication by Patients With Newly Diagnosed Breast Cancer During the Treatment Decision Process. JAMA Oncol 2:1654-1656
Kerber, Kevin A; Meurer, William J; Brown, Devin L et al. (2015) Stroke risk stratification in acute dizziness presentations: A prospective imaging-based study. Neurology 85:1869-78
Martinez, Kathryn A; Kurian, Allison W; Hawley, Sarah T et al. (2015) How can we best respect patient autonomy in breast cancer treatment decisions? Breast Cancer Manag 4:53-64
Katz, Steven J; Kurian, Allison W; Morrow, Monica (2015) Treatment Decision Making and Genetic Testing for Breast Cancer: Mainstreaming Mutations. JAMA 314:997-8
Shumway, Dean; Griffith, Kent A; Jagsi, Reshma et al. (2015) Psychometric properties of a brief measure of autonomy support in breast cancer patients. BMC Med Inform Decis Mak 15:51
Katz, Steven J (2014) Treatment decision aids are unlikely to cut healthcare costs. BMJ 348:g1172
Resnicow, Ken; Abrahamse, Paul; Tocco, Rachel S et al. (2014) Development and psychometric properties of a brief measure of subjective decision quality for breast cancer treatment. BMC Med Inform Decis Mak 14:110
Katz, Steven J; Belkora, Jeffrey; Elwyn, Glyn (2014) Shared decision making for treatment of cancer: challenges and opportunities. J Oncol Pract 10:206-8
Katz, Steven J; Hawley, Sarah (2014) Patient-physician shared decision making--reply. JAMA 311:864

Showing the most recent 10 out of 12 publications