Abstract

7041 Background: Cancer patients spend substantial amounts on their healthcare services, and are at high risk for financial toxicity, a patient-reported outcome shown to be associated with care non-adherence. Even with insurance, cancer patients often face unpredictable or unmanageable costs. In women with breast cancer enrolled in TAILORx trial, we investigated the association between study entry insurance status and adherence to endocrine therapy (ET). Methods: Women with hormone-receptor–positive, human epidermal growth factor receptor 2–negative, axillary node–negative breast cancer enrolled in TAILORx clinical trial who started ET within a year of study entry were included. Early discontinuation was defined as stopping ET within 4 years of start for reasons other than distant recurrence or death, and the rate was calculated using Kaplan-Meier estimates. Cox proportional hazards model was used to analyze association between the patients’ insurance status at study entry and early discontinuation of ET incorporating patients’ treatment, age, race and Recurrence Score in the model. Results: A total of 9,475 patients were included (mean age: 55.6; 84% white; 9% Hispanic). A total of 58.0% had private insurance, while 11.7% had Medicare; 5.8% had Medicaid; 0.98% had military/VA insurance; 3.8% were self-pay, and 19.1% were patient recruited from international sites. The rates of 4-year early discontinuation were highest among self-pay (18.7%) and Medicaid patients (18%) and lowest among patients with military/VA insurance (8.6%) and international sites (9.8%). In multivariable analysis, compared to private insurance patients with Medicaid (HR 1.6; 95% CI 1.3-2.0) and self-pay (HR 1.6; 95% CI 1.3-2.1) had higher probability of discontinuing ET within 4 years of start and those at international sites had lower probability of early discontinuation (HR 0.8; 95% CI 0.7-0.9) (All p values < 0.05). Conclusions: Patients’ insurance status plays an important role in adherence to ET with uninsured and underinsured having a high rate of treatment non-adherence. Early identification of patients at risk and enrollment in insurance optimization programs may improve adherence to therapy. Clinical trial information: NCT00310180 .

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