PP50 How Do Target Population Sizes In Health Technology Assessments Impact Drug Price Changes?

Abstract

IntroductionThe relationship between heath technology assessment (HTA) recommendations and drug prices has received little attention in the published literature. We consider whether target population sizes estimated as part of positive HTA decisions impact future price changes. We hypothesize that larger target populations may result in larger drug price reductions, as overall budget impact is an important component of price negotiations.MethodsHTA and pricing data were obtained from the Context Matters Market Access Platform (MAP) and IHS Markit's PharmOnline International (POLI) pricing database, respectively. We analyzed 55 HTA decisions from the Gemeinsame Bundesausschuss (G-BA; Germany) and the Haute Autorité de Santé (HAS; France) for oncology products receiving European Medicines Agency approval between 2011 and the end of 2014. Pricing and HTA histories were tracked from the beginning of 2012 until October 2018. Using multiple regression to control for HTA agency, country-specific scores (Improvement in Actual Benefit and Additional Benefit scores), pack size, and initial price, we examined the relationship between a drug's price change in the year following an HTA review and the increase in target population resulting from the HTA decision.ResultsWe found that larger increases in target population were related to larger reductions in drug prices (p = 0.014). The magnitude of the effect size was low.ConclusionsFor the sample evaluated, we found a small but statistically significant association between target population size increases (as estimated by HTA bodies) and price reductions, supporting our hypothesis that target population plays a role in price negotiations. Confidential discounts and managed-access agreements likely account, in part, for the low magnitude of the observed association. Future work on this topic will involve larger samples covering a greater number of HTA agencies to improve the power and generalizability of the analysis.