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Simulated Medicare Drug Price Negotiation Under the Inflation Reduction Act of 2022
Benjamin N Rome1,2, Sarosh Nagar1, Alexander C Egilman1,2
1Program on Regulation, Therapeutics, and Law (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
The Inflation Reduction Act could save Medicare $26.5 billion on prescription drugs by negotiating prices. However, limitations in drug selection criteria may affect overall savings for Medicare drug spending.
Area of Science:
- Health Economics
- Health Policy
- Pharmaceutical Policy
Background:
- The Inflation Reduction Act of 2022 grants Medicare authority to negotiate prescription drug prices.
- The specific drugs selected and negotiation mechanisms remain undefined, necessitating policy simulation.
Purpose of the Study:
- To simulate Medicare drug selection and estimate potential savings under price negotiation provisions.
- To analyze the impact of statutory ceiling prices on Medicare spending from 2018 to 2020.
Main Methods:
- Cross-sectional policy simulation analysis of high-spending Medicare Part B and Part D drugs.
- Evaluation of eligibility criteria and statutory ceiling prices for negotiation from January 2018 to December 2020.
Main Results:
- Forty drugs were identified for potential negotiation, predominantly in endocrine, neurologic, and cardiovascular classes.
- Simulated negotiation at statutory ceiling prices could have saved an estimated $26.5 billion (5% of net spending) between 2018 and 2020.
- A median of 12 years elapsed between FDA approval and potential selection for negotiation.
Conclusions:
- The Inflation Reduction Act's drug negotiation policy, despite limitations like strict selection criteria, can yield significant Medicare savings.
- Statutory ceiling prices offer substantial discounts, particularly by curbing price increases exceeding inflation.
- Potential ineligibility of drugs during the selection-to-negotiation window presents a challenge for policy implementation.
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