The involvement of partners in breast cancer treatment decision making.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 6023-6023
Author(s):  
Sarah T. Hawley ◽  
Nancy K. Janz ◽  
Sarah E Lillie ◽  
Kendra L. Schwartz ◽  
John Graff ◽  
...  

6023 Background: Incorporating partners into treatment decision making is an important element of patient-centered care, yet little is known about the role of partners in the decision process. Methods: We surveyed 503 partners of a population-based sample of breast cancer survivor 4 years after diagnosis (RR= 76%, N=382).The outcome was partners’ reports of decision regret. Independent variables included decision making process measures (partners’ reports of sufficient treatment information receipt and sufficient involvement in decision making), race/ethnicity, age, education and income. Multivariable logistic regression was used to assess associations between decision regret and race/ethnicity, controlling for other variables. Results: 49% of partners were white, 14% African American, 15% more-acculturated Latino, and 18% less-acculturated Latino. One quarter (26%) of partners reported that they received insufficient information and one third (35%) desired more involvement in decision-making. Compared to whites, less-acculturated Latino partners more often reported that they received insufficient information (41% vs. 18%, p<0.05) and desired more involvement in decision-making (49% vs. 14%, p<0.001). Overall 30% of partners reported high decision regret. Multivariate analyses showed factors associated with high decision regret were less-acculturated Latinos, insufficient information receipt and desire for more involvement (Table). Conclusions: Most partners of breast cancer survivors reported low decision regret and positively appraised their involvement in the decision process. Less acculturated Latinos reported more dissatisfaction with the decision process. Findings suggest the need for culturally appropriate treatment decision support interventions that include partners. [Table: see text]

2010 ◽  
Vol 28 (21) ◽  
pp. 3442-3447 ◽  
Author(s):  
Michael A. Andrykowski ◽  
Jessica L. Burris ◽  
Erin Walsh ◽  
Brent J. Small ◽  
Paul B. Jacobsen

Purpose The trend toward personalized medicine will involve cancer treatment increasingly being tailored to the genetic characteristics of individuals. However, the availability of genetic information does not imply this information is desired or would impact treatment decision making. Methods One hundred sixty breast cancer survivors (BC group) and 205 healthy controls (HC group) were randomly assigned to respond to two different clinical scenarios varying in genetic-related risk of cognitive impairment (CI; little v very likely) and severity of CI (little v moderate problem) after chemotherapy. Ratings of the importance of being told this genetic information (information importance) and the likelihood this information would affect their decision to receive chemotherapy (information impact) were obtained. Results Results indicated the importance ascribed to genetic information was greatest when CI likelihood and severity were both high or low (P < .05). Information impact ratings were not sensitive to differences in CI likelihood or severity; the BC group was less likely to indicate genetic information would affect their decision to receive chemotherapy than the HC group (P < .001). Conclusion Results suggest lessened enthusiasm for genetic information that maintains or increases uncertainty about a specific course of action and highlight the importance of including clinically relevant groups in treatment decision-making research that employs hypothetical scenarios. Although women generally believe it is important to receive genetic information, they might benefit from assistance (eg, decision aid) in the difficult task of integrating information about survival and risk for adverse late effects from cancer treatment.


2007 ◽  
Author(s):  
Mary A. O'Brien ◽  
Timothy Whelan ◽  
Amiram Gafni ◽  
Cathy Charles ◽  
Peter Ellis

2020 ◽  
Vol 27 (17) ◽  
pp. 2826-2839 ◽  
Author(s):  
Roberta Caputo ◽  
Daniela Cianniello ◽  
Antonio Giordano ◽  
Michela Piezzo ◽  
Maria Riemma ◽  
...  

The addition of adjuvant chemotherapy to hormonal therapy is often considered questionable in patients with estrogen receptor-positive early breast cancer. Low risk of disease relapse after endocrine treatment alone and/or a low sensitivity to chemotherapy are reasons behind not all patients benefit from chemotherapy. Most of the patients could be exposed to unnecessary treatment- related adverse events and health care costs when treatment decision-making is based only on classical clinical histological features. Gene expression profile has been developed to refine physician’s decision-making process and to tailor personalized treatment to patients. In particular, these tests are designed to spare patients the side effects of unnecessary treatment, and ensure that adjuvant chemotherapy is correctly recommended to patients with early breast cancer. In this review, we will discuss the main diagnostic tests and their potential clinical applications (Oncotype DX, MammaPrint, PAM50/Prosigna, EndoPredict, MapQuant Dx, IHC4, and Theros-Breast Cancer Gene Expression Ratio Assay).


Author(s):  
Julie D. Johnson ◽  
Cleora S. Roberts ◽  
Charles E. Cox ◽  
Douglas S. Reintgen ◽  
Judi S. Levine ◽  
...  

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