Decision Support and Shared Decision Making About Active Surveillance Versus Active Treatment Among Men Diagnosed with Low-Risk Prostate Cancer: a Pilot Study.
Publication/Presentation Date
2-1-2018
Abstract
This study aimed to explore the effects of a decision support intervention (DSI) and shared decision making (SDM) on knowledge, perceptions about treatment, and treatment choice among men diagnosed with localized low-risk prostate cancer (PCa). At a multidisciplinary clinic visit, 30 consenting men with localized low-risk PCa completed a baseline survey, had a nurse-mediated online DS session to clarify preference for active surveillance (AS) or active treatment (AT), and met with clinicians for SDM. Participants also completed a follow-up survey at 30 days. We assessed change in treatment knowledge, decisional conflict, and perceptions and identified predictors of AS. At follow-up, participants exhibited increased knowledge (p < 0.001), decreased decisional conflict (p < 0.001), and more favorable perceptions of AS (p = 0.001). Furthermore, 25 of the 30 participants (83 %) initiated AS. Increased family and clinician support predicted this choice (p < 0.001). DSI/SDM prepared patients to make an informed decision. Perceived support of the decision facilitated patient choice of AS.
Volume
33
Issue
1
First Page
180
Last Page
185
ISSN
1543-0154
Published In/Presented At
Myers, R. E., Leader, A. E., Censits, J. H., Trabulsi, E. J., Keith, S. W., Petrich, A. M., Quinn, A. M., Den, R. B., Hurwitz, M. D., Lallas, C. D., Hegarty, S. E., Dicker, A. P., Zeigler-Johnson, C. M., Giri, V. N., Ayaz, H., & Gomella, L. G. (2018). Decision Support and Shared Decision Making About Active Surveillance Versus Active Treatment Among Men Diagnosed with Low-Risk Prostate Cancer: a Pilot Study. Journal of cancer education : the official journal of the American Association for Cancer Education, 33(1), 180–185. https://doi.org/10.1007/s13187-016-1073-7
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
27418065
Department(s)
Administration and Leadership
Document Type
Article