Quantifying treatment preferences and their association with financial toxicity in women with breast cancer.

Authors

Courtney Williams

Courtney Williams

National Cancer Institute, Bethesda, MD

Courtney Williams, Kathleen D. Gallagher, Katie Deehr, Monica S. Aswani, Andres Azuero, Casey L. Daniel, Eric W Ford, Stacey A. Ingram, Alan James Balch, Gabrielle Betty Rocque

Organizations

National Cancer Institute, Bethesda, MD, Patient Advocate Foundation, Hampton, VA, University of Alabama at Birmingham, Birmingham, AL, University of South Alabama Mitchell Cancer Institute, Mobile, AL

Research Funding

Other
Breast Cancer Research Foundation of Alabama.

Background: This study sought to understand treatment preferences and their association with financial toxicity in breast cancer patients served by Patient Advocate Foundation (PAF). Methods: This cross-sectional study used survey data from a nationwide sample of women with breast cancer who received assistance from PAF. Choice-based conjoint analysis elicited patient preferences and trade-offs. Latent class analysis segmented respondents into distinct preference groups. The Comprehensive Score for Financial Toxicity (COST) tool captured financial toxicity (range 0-44, lower scores indicate worse financial toxicity). Cramer’s V determined magnitude of relationships in bivariate associations. COST score differences by preference archetype was estimated by least square means and naïve 95% confidence intervals (CI) from adjusted generalized linear models. Results: Of 220 respondents (65% response rate), median age was 58 years (interquartile range [IQR] 49-66) and 60% had household incomes < $40,000. Most respondents were diagnosed with early stage cancer (91%), with 41% diagnosed within the past 2 years; 38% had recurred. Almost two-thirds (61%) were on active treatment. Treatment choice was most affected by preferences related to affordability and impact on activities of daily living (ADLs). Two distinct treatment preference archetypes emerged. The “Cost-Prioritizing Group” (75% of respondents) was most concerned about affordability, impact on ADLs, and burdening care partners. The “Functional Independence-Prioritizing Group” (25% of respondents) was most concerned about ability to work, physical side effects, and interference with important life events. Cost- vs. functional independence-prioritizing respondents were more often diagnosed with an early stage cancer (88% vs. 78%; V = .22), white (78% vs. 56%; V = .21), or privately insured (45% vs. 36%; V = .12). Functional independence- vs. cost-prioritizing respondents more often had household incomes < $40,000 (76% vs. 54%; V = .20), identified as Hispanic/Latino (20% vs. 9%; V = .15), or had Medicaid (15% vs. 7%; V = .12). COST scores were similar between archetypes in adjusted models (Cost-Prioritizing COST = 12, 95% CI 9-14; Functional Independence-Prioritizing COST = 11, 95% CI 9-13). Conclusions: Patients with breast cancer prioritized affordability or maintaining functional independence when making treatment decisions. Because of this variability, preference evaluation during treatment decision-making could optimize patients’ treatment experiences.

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Abstract Details

Meeting

2020 ASCO Quality Care Symposium

Session Type

Rapid Oral Abstract Session

Session Title

Rapid Abstract Session C: Understanding Barriers to Clinical Trial Participation and Treatment Selection

Track

Cost, Value, and Policy,Technology and Innovation in Quality of Care,Health Care Access, Equity, and Disparities,Patient Experience,Quality, Safety, and Implementation Science

Sub Track

Communication and Shared Decision-Making Research

Citation

J Clin Oncol 38, 2020 (suppl 29; abstr 141)

DOI

10.1200/JCO.2020.38.29_suppl.141

Abstract #

141

Abstract Disclosures

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