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307 Patients expectations of benefits from large-panel genomic tumor testing in rural community oncology practices

Published online by Cambridge University Press:  19 April 2022

Eric C. Anderson
Affiliation:
Tufts University School of Medicine
John DiPlazzo
Affiliation:
Maine Medical Center
Jens Rueter
Affiliation:
The Jackson Laboratory
Paul Han
Affiliation:
Maine Medical Center
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Abstract

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OBJECTIVES/GOALS: Large-panel genomic tumor testing (GTT) is a new technology that promises to make cancer treatment more precise. However, patients may have unrealistic expectations of its benefits. The goal of this project is to assess expectations for GTT among cancer patients in community oncology practices. METHODS/STUDY POPULATION: A survey assessing expectations of the benefits of GTT was administered to cancer patients participating in a statewide study of GTT implementation, prior to receiving test results. Descriptive and regression analyses were conducted to assess expectations and the factors associated with these expectations. The study sample (N = 1,139) consisted of patients with a range of cancer types (22% gynecologic, 14% lung, 10% colon, 10% breast,and 46% other malignancies). Mean age was 64 years (standard deviation = 11); 668 (59%) were women; 71% had no college degree; 57% came from households with less than $50,000 US dollars household income; and 73% lived in a rural area. RESULTS/ANTICIPATED RESULTS: Generally, patients had high expectations that they would benefit from GTT (M = 2.81 on 0-4 scale) and positive attitudes toward it (M = 2.98 on 0-4 scale). Patients also had relatively poor knowledge about GTT (48% correct answers on an objective test of GTT knowledge). Greater expectations for GTT were associated with lower knowledge (b = –0.46; p < .001), more positive attitudes (b = 0.40; < .001), and lower education (b = –0.53; < .001). DISCUSSION/SIGNIFICANCE: This research suggests patients have high expectations that they will benefit from GTT, which is associated with low knowledge, positive attitudes, and low education. Interventions may be needed to boost understanding and moderate expectations, particularly for disadvantaged patients.

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This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Author(s), 2022. The Association for Clinical and Translational Science