Unlocking Pricing Power With Threshold Analysis: Conclusions From a Hypothetical Markov Model
Speaker(s)
Chalmers K, Armand J, Rinciog C
Symmetron Limited, London, LON, UK
Presentation Documents
OBJECTIVES: Early cost-effectiveness models are frequently based on limited data and are used to explore pricing expectations focusing on the incremental cost-effectiveness ratio (ICER). Threshold analysis is typically used to examine the impact on the ICER when changing one or more parameters over a range of values. This study aims to highlight how threshold analyses based on the maximum achievable price can better inform pricing.
METHODS: A hypothetical Markov model comparing a new intervention (TxA) to best supportive care (BSC) was constructed. TxA was assumed to have superior efficacy outcomes compared to BSC. A series of hypothetical outcomes (probability of progression, hospitalization and discontinuation) were varied in one- and two-way threshold analyses. The analysis output was the maximum achievable price for TxA to remain cost-effective using a £30,000 willingness-to-pay (WTP) threshold.
RESULTS: The maximum annual price for TxA in the base-case was £2,979 whilst maintaining cost-effectiveness using a £30,000 WTP threshold. One-way analyses showed hospitalization had minimal impact on the price, while discontinuation varied it from £1,236 to £4,992, and progression from £776 to £6,957. This suggested potential price increases of up to 68% (£2,013) and 134% (£3,978) for discontinuation and progression, respectively, could be missed. Two-way analyses indicated that varying progression and discontinuation simultaneously had the greatest impact, with prices ranging from £248 to £11,562. This suggested even greater price increases (up to £8,583, representing a percentage increase of 188%) could be missed when multiple parameters are varied simultaneously.
CONCLUSIONS: This study highlighted that threshold analyses based on price can demonstrate the maximum achievable price of a new treatment and conditions for potential price increases. Threshold analyses can identify key price-driving parameters and can guide further research to focus on more impactful parameters. Companies should conduct threshold analyses to ensure they do not miss higher pricing opportunities.
Code
EE716
Topic
Economic Evaluation
Topic Subcategory
Thresholds & Opportunity Cost
Disease
No Additional Disease & Conditions/Specialized Treatment Areas