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Published on: December 11, 2016
[Comparative evaluation of methods to determine efficiency potentials in drug utilisation].
M S Pfannkuche1, F Hoffmann, F Meyer
1Universität Bremen, ZeS, AG Arzneimittelanwendungsforschung, Ausser der Schleifmühle 35-3728203 Bremen. pfannkuche@zes.uni-bremen.de
Determining drug utilization savings requires careful method selection, as different approaches yield varied efficiency potentials. Savings estimates for Omeprazol ranged from 2.9% to 13.1% based on the calculation method used.
Area of Science:
- Health economics
- Pharmaceutical policy
- Health services research
Background:
- Healthcare policy aims to improve drug utilization efficiency.
- Quantifying savings potentials often relies on health insurance claims data.
- This study addresses methodological discussions in determining drug utilization savings.
Purpose of the Study:
- To present and compare four distinct methods for calculating efficiency potentials in the generic drug market.
- To illustrate the impact of different methodologies using Omeprazol as a case study.
- To contribute to the methodological discourse on drug utilization savings.
Main Methods:
- Analysis of claims data from Gmuender ErsatzKasse (GEK) for the year 2005.
- Application of four different methods to assess efficiency potentials in generic drug markets.
- Case study focusing on the drug Omeprazol to demonstrate method variations.
Main Results:
- The choice of method significantly influences the required data and estimations.
- Efficiency potentials for Omeprazol varied widely, from €165,000 to €741,000 (an 80% difference).
- Calculated savings potentials ranged from 2.9% to 13.1% of total Omeprazol expenditures, depending on the method.
Conclusions:
- The magnitude and relevance of theoretical savings potentials are highly dependent on underlying assumptions and chosen methodologies.
- For accurate outcome evaluation, detailed descriptions of the methods employed are essential.
- Drug price considerations at the point of prescription are crucial for optimizing savings calculations across multiple drugs.
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