HISTORIC PRICE DIFFERENTIALS AND MOST-FAVORED NATION PRESCRIPTION DRUG PRICING POLICY IMPACT: SCENARIO ANALYSIS USING POLI DATA ACROSS EIGHT GLOBAL MARKETS
Author(s)
Katie Mahony, .1, Helen Hale, MBA2, Abhishek Gaur, MBA2;
1Syneos Health, New York, NY, USA, 2Syneos Health, Morrisville, NC, USA
1Syneos Health, New York, NY, USA, 2Syneos Health, Morrisville, NC, USA
OBJECTIVES: This study aimed to 1) quantify historic price differentials for select therapies across US and eight ex-US markets (UK, France, Germany, Italy, Canada, Japan, Denmark, Switzerland), 2) model the impact of MFN pricing on US revenues, focusing on Medicare and Medicaid segments, and 3) assess implications for market access planning.
METHODS: We conducted a retrospective analysis using PharmOnline International (POLI) database to extract WAC (US) and ex-manufacturer prices (global) for five branded drugs—sitagliptin, sitagliptin + metformin, midostaurin, semaglutide, tirzepatide—across eight countries. US revenue estimates were derived from company reports and segmented into commercial, Medicare, and Medicaid channels using claims-based percentages. Hypothetical MFN policy impact was modeled by applying the lowest international benchmark prices exclusively to Medicare and Medicaid segments, under the assumption that commercial payer prices may remain unaffected.
RESULTS: Current global prices were 50-98% lower than the US prices across the five therapies analyzed. Modeling MFN pricing to Medicare and Medicaid segments resulted in estimated revenue declines of 15-70% for obesity and diabetes therapies and ~30% for the oncology therapy evaluated.
CONCLUSIONS: Aggregate analysis suggests MFN implementation could significantly reduce government payer expenditures and manufacturer revenue for products with MFN pricing applied. MFN drug pricing is currently only applicable through voluntary agreements between manufacturers and the US government, and is separate from concurrent US drug pricing policies like the Inflation Reduction Act Medicare Drug Price Negotiation Program. It is critical for manufacturers to assess the impact of evolving US drug pricing policies by integrating claims-derived payer mix, pricing, rebate, and market-based data in proactive scenario planning
METHODS: We conducted a retrospective analysis using PharmOnline International (POLI) database to extract WAC (US) and ex-manufacturer prices (global) for five branded drugs—sitagliptin, sitagliptin + metformin, midostaurin, semaglutide, tirzepatide—across eight countries. US revenue estimates were derived from company reports and segmented into commercial, Medicare, and Medicaid channels using claims-based percentages. Hypothetical MFN policy impact was modeled by applying the lowest international benchmark prices exclusively to Medicare and Medicaid segments, under the assumption that commercial payer prices may remain unaffected.
RESULTS: Current global prices were 50-98% lower than the US prices across the five therapies analyzed. Modeling MFN pricing to Medicare and Medicaid segments resulted in estimated revenue declines of 15-70% for obesity and diabetes therapies and ~30% for the oncology therapy evaluated.
CONCLUSIONS: Aggregate analysis suggests MFN implementation could significantly reduce government payer expenditures and manufacturer revenue for products with MFN pricing applied. MFN drug pricing is currently only applicable through voluntary agreements between manufacturers and the US government, and is separate from concurrent US drug pricing policies like the Inflation Reduction Act Medicare Drug Price Negotiation Program. It is critical for manufacturers to assess the impact of evolving US drug pricing policies by integrating claims-derived payer mix, pricing, rebate, and market-based data in proactive scenario planning
Conference/Value in Health Info
2026-05, ISPOR 2026, Philadelphia, PA, USA
Value in Health, Volume 29, Issue S6
Code
HPR8
Topic
Health Policy & Regulatory
Topic Subcategory
Pricing Policy & Schemes
Disease
SDC: Diabetes/Endocrine/Metabolic Disorders (including obesity), SDC: Oncology, STA: Multiple/Other Specialized Treatments