Abstract

ABSTRACTBackground and Objective: Orphan drugs have been a highlight of discussions due to their higher prices than non-orphan drugs. There is currently no European consensus on the method of value assessment for orphan drugs. This study assessed the relationship between the prevalence of rare diseases and the annual treatment cost of orphan drugs in France, Germany, Italy, Norway, Spain, Sweden, and UK.Methods: Approved orphan drugs and prevalence data were extracted from the European Medicines Agency website. Annual treatment costs were calculated using ex-factory price. Simple regression was used to analyse the relationship between costs and prevalence. A specific bivariate analysis was performed for the rarest diseases (≤1 per 10,000).Results: 120 drugs were analysed. Prevalence ranged from 0.001 to 5 per 10,000 (mean 1.24, median 1). Annual treatment costs per patient ranged from €755 to €1,051,956 (mean €100,000, median €39,303). Results show a statistically significant inverse correlation between annual treatment cost and disease prevalence in all countries (France: r = −0.370, p = 0.002; Germany: r = −0.365, p = 0.002; Italy: r = −0.340, p = 0.002; Spain: r = −0.316, p = 0.041; UK: r = −0.358, p = 0.0004; Sweden: r = −0.414, p = 0.014; Norway: r = −0.367, p = 0.002). When analysis was focused on the rarest diseases, a stronger correlation exists in all countries (France: r = −0.525, Germany: r = −0.482, Italy: r = −0.497, Spain: r = −0.531, UK: r = −0.436, Sweden: r = −0.455, Norway: r = −0.466; all p < 0.05 except Sweden p = 0.077).Conclusions: This study shows an inverse correlation between annual treatment cost and prevalence with high statistical significance in the studied countries. Although pricing is a complex process where different attributes are assessed, this study supports the idea that payers value rarity in pricing decisions.

Highlights

  • Rare disease definition and burdenRare diseases are uncommon and serious conditions which are defined in the European Union (EU) as lifethreatening or chronically debilitating conditions with a prevalence of no more than five in 10,000 people.[1]

  • A five-step process was implemented in order to assess the relationship between the annual cost of treatment of orphan drugs and the prevalence of the corresponding rare diseases: (1) extraction of the approved orphan drugs from the European Medicines Agency (EMA) website; (2) extraction of ex-factory price for all products in the countries of scope from IHS POLI database and country-specific price database; (3) calculation of annual treatment cost per patient; (4) extraction of disease prevalence at EU level from the EMA website; and (5) analysis of annual treatment costs versus disease prevalence

  • Ninety-five authorised orphan drugs were extracted from the EMA website and were complemented with 25 drugs with expired or withdrawn orphan drug designations, for a total of 120 (Table 1)

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Summary

Introduction

Rare disease definition and burdenRare diseases are uncommon and serious conditions which are defined in the European Union (EU) as lifethreatening or chronically debilitating conditions with a prevalence of no more than five in 10,000 people.[1]. This study assessed the relationship between the prevalence of rare diseases and the annual treatment cost of orphan drugs in France, Germany, Italy, Norway, Spain, Sweden, and UK. Results show a statistically significant inverse correlation between annual treatment cost and disease prevalence in all countries (France: r = −0.370, p = 0.002; Germany: r = −0.365, p = 0.002; Italy: r = −0.340, p = 0.002; Spain: r = −0.316, p = 0.041; UK: r = −0.358, p = 0.0004; Sweden: r = −0.414, p = 0.014; Norway: r = −0.367, p = 0.002). When analysis was focused on the rarest diseases, a stronger correlation exists in all countries (France: r = −0.525, Germany: r = −0.482, Italy: r = −0.497, Spain: r = −0.531, UK: r = −0.436, Sweden: r = −0.455, Norway: r = −0.466; all p < 0.05 except Sweden p = 0.077). Pricing is a complex process where different attributes are assessed, this study supports the idea that payers value rarity in pricing decisions

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