AN ANALYSIS OF HOW NOT TO USE COST-EFFECTIVENESS ANALYSIS FOR PRICE-SETTING

Author(s)

Standaert B*1;Ethgen O2;Emerson RA3, Postma MJ4 1GlaxoSmithKline Vaccines, Wavre, Belgium, 2University of Liege, Liege, Belgium, 3Emerson Consulting c/o GlaxoSmithKline Vaccines, Wavre, Belgium, 4University of Groningen, Groningen, Netherlands

Objectives:  Cost-effectiveness Analysis (CEA) and the calculation of the Incremental Cost-Effectiveness Ratio (ICER) together with its comparison with a threshold such as Gross Domestic Product (GDP)/capita, have long been used to assess the value for money of a new intervention compared with a comparator that this new intervention precisely seeks to displace.  In this paper we show the paradoxical increase in cost-effective price using data from middle, low and very low income settings. Methods:  Using the introduction of rotavirus vaccination compared with no-vaccination as the example.  We create a theoretical framework for calculating the ICER by gradually decreasing the investment for treatment of rotavirus related disease (the ‘no-vaccination comparator’) representing different countries with different GDP levels and decreasing levels of existing healthcare investment. We compare these results with an analysis of cost-effectiveness using real data from 9 countries representing a range of different GDP levels. Results:  The theoretical framework works well in situations where the GDP/capita exceeds $10,000 – as expected the cost-effective price decreases with a decrease in the GDP/capita.  Below this the scant investment in healthcare infrastructure, thereby reducing potential cost-offsets, coupled with the significant increase in the potential effect gain, results in a much wider margin between a cost-neutral and cost-effective price that could effectively be set using this approach.  Conclusions:  Although Cost-Effectiveness Analysis is widely used to assess the value for money of a new intervention for a particular price, we would argue that where investment in healthcare is low and disease burden is high, the use of CEA leads to paradoxes in price-setting.

Conference/Value in Health Info

2013-11, ISPOR Europe 2013, The Convention Centre Dublin

Value in Health, Vol. 16, No. 7 (November 2013)

Code

PRM234

Topic

Methodological & Statistical Research

Topic Subcategory

Confounding, Selection Bias Correction, Causal Inference

Disease

Multiple Diseases

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