Abstract P2-09-15: A multi-institutional, prospective study of incorporating the genomic platform breast cancer index as a tool for decision-making regarding extension of adjuvant endocrine therapy

Author(s):  
T Sanft ◽  
A Berkowitz ◽  
B Schroeder ◽  
C Hatzis ◽  
C Schnabel ◽  
...  
2017 ◽  
Vol 35 (8_suppl) ◽  
pp. 25-25
Author(s):  
Tara Beth Sanft ◽  
Alyssa Berkowitz ◽  
Brock Schroeder ◽  
Christos Hatzis ◽  
Catherine A. Schnabel ◽  
...  

25 Background: Previous research has demonstrated the benefit of EET for HRBC, however, the absolute benefit is modest and commits women to an extra 5 yrs of treatment. The Breast Cancer Index (BCI) is a gene expression-based test that has been validated to quantify the risk of late recurrence (BCI subscore) and to predict likelihood of benefit from EET (H/I subscore). We have previously shown that the use of BCI increases patient and physician confidence in decision-making and leads to fewer recommendations for EET. The current analysis extends our results to a larger sample size and presents a health economic analysis to assess the cost effectiveness of the use of BCI for EET decision-making. Methods: We developed a fact-based economic model to project the cost effectiveness of BCI using a cohort of 140 patients with stage I-III HRBC from Yale Cancer Center and University of Pittsburgh Medical Center who had completed ≥3.5 yrs of endocrine therapy and had undergone BCI testing in the context of this study. Physicians completed questionnaires to indicate their recommendations for EET before and after BCI results. Costs associated with EET, toxicity, follow-up, and metastatic recurrence were modeled over 5 yrs of extended therapy. Model inputs were based on published literature. Sensitivity analyses were performed around key inputs to estimate effects on the model. Results: Changes in EET recommendations after BCI were observed in 29% of patients, with 21% changing from recommended to not recommended, and 8% from not recommended to recommended. The projected net cost savings of BCI testing in this population of patients who are disease free at 5 yrs post-diagnosis is $5,190 per patient tested. Gross cost savings were projected to be achieved through reduced recurrence in patients receiving EET based on BCI results and decreased adverse events and comorbidities for patients with low BCI scores who did not receive EET. Conclusions: Based on the decision impact of BCI in a real-world cohort, the test is projected to be cost saving for women with early stage hormone receptor positive breast cancer who are recurrence free at 5 yrs post-diagnosis on adjuvant endocrine therapy.


2016 ◽  
Vol 37 (1) ◽  
pp. 79-90 ◽  
Author(s):  
Louise L. Beryl ◽  
Katharine A. S. Rendle ◽  
Meghan C. Halley ◽  
Katherine A. Gillespie ◽  
Suepattra G. May ◽  
...  

Background. Studies show adjuvant endocrine therapy increases survival and decreases risk of breast cancer recurrence for hormone receptor–positive tumors. Yet studies also suggest that adherence rates among women taking this therapy may be as low as 50% owing largely to adverse side effects. Despite these rates, research on longitudinal patient decision making regarding this therapy is scant. Objective. We sought to map the decision-making process for women considering and initiating adjuvant endocrine therapy, paying particular attention to patterns of uncertainty and decisional change over time. Methods. A longitudinal series of semistructured interviews conducted at a multispecialty health care organization in Northern California with 35 newly diagnosed patients eligible for adjuvant endocrine therapy were analyzed. Analysis led to the identification and indexing of 3 new decision-making constructs—decisional phase, decisional direction, and decisional resolve—which were then organized using a visual matrix and examined for patterns characterizing the decision-making process. Results. Our data reveal that most patients do not make a single, discrete decision to take or not take hormone therapy but rather traverse multiple decisional states, characterized by 1) phase, 2) direction, and 3) strength of resolve. Our analysis tracks these decisional states longitudinally using a grayscale-coded matrix. Our data show that decisional resolve wavers not just when considering therapy, as the existing concept of decisional conflict suggests, but even after initiating it, which may signal future decisions to forgo therapy. Conclusions. Adjuvant endocrine therapy, like other chronic care decisions, has a longer decision-making process and implementation period. Thus, theoretical, empirical, and clinical approaches should consider further exploring the new concept and measurement of decisional resolve, as it may help to improve subsequent medication adherence.


2019 ◽  
Vol 8 (1) ◽  
pp. BMT22
Author(s):  
Tara Sanft ◽  
Alyssa Berkowitz ◽  
Brock Schroeder ◽  
Christos Hatzis ◽  
Catherine A Schnabel ◽  
...  

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