Abstract

6517 Background: As federal policy, Medicare Part D was designed to reduce OOP costs for Medicare beneficiaries, but the extent to which this occurred for patients with cancer has not been measured. The aim of this study is to quantify the impact of Part D eligibility on out-of-pocket (OOP) cost for prescription drugs for cancer patients. Methods: Differences-in-differences analyses were used to estimate the effects of Medicare Part D eligibility on OOP pharmaceutical costs, by comparing 4-year periods before and after Part D implementation. Analyses were based on data from the publicly available Medical Expenditure Panel Survey, a nationally representative, all-payer sample of the United States non-institutionalized civilian population. Our analysis compared per-capita OOP burden between Medicare beneficiaries (age 65+) with cancer to near-elderly patients age 55-64 years old with cancer. Statistical weights provided with the dataset were used to generate nationally representative estimates. Results: Overall, 2,147 near-elderly individuals with cancer and 5,296 individuals with Medicare and cancer were included in the analysis (total n=7,443), representing over 88 million people with cancer in 8 years of study. As expected, prescription drug coverage more than doubled among individuals with Medicare from before Part D (34.4%) to after (77.8%); in contrast, prescription drug coverage among the near-elderly remained stable before vs. after Part D (72.0% vs. 71.1%). The mean per-capita OOP cost for Medicare beneficiaries with cancer before Part D was $935 (SE ±30) and decreased to $616 (±25) after implementation of Medicare Part D—a decline of 34%. Compared with changes in OOP pharmaceutical costs for non-elderly patients with cancer over the same period, implementation of Medicare Part D was associated with a further reduction of $159 (±73) per person with cancer. Conclusions: The implementation of Medicare D has significantly reduced OOP prescription drug costs for seniors with cancer, beyond trends observed for younger patients. Further analyses will examine OOP cost patterns for patients with cancer with specific sociodemographic and clinical characteristics.

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