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Published in: The European Journal of Health Economics 6/2011

01-12-2011 | Original Paper

The impact of repeated cost containment policies on pharmaceutical expenditure: experience in Spain

Authors: Iván Moreno-Torres, Jaume Puig-Junoy, Josep M. Raya

Published in: The European Journal of Health Economics | Issue 6/2011

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Abstract

The growth in expenditure on the financing of pharmaceuticals is a factor that accounts for a large part of the increase in public health spending in most developed countries. In an attempt to kerb this growth, many health authorities, particularly in Europe, have introduced numerous regulatory measures that have affected the market, especially on the supply side. These measures include the system of reference pricing, the reduction of wholesale distributors’ and retailers’ markups and compulsory reductions of ex-factory prices. We assess the impact of these cost containment measures on expenditure per capita, prescriptions per capita and the average price of pharmaceuticals financed by the public sector in Catalonia (Spain), from 1995 to 2006. We apply an autoregressive integrated moving average (ARIMA) time series model using dummy variables to represent the various cost containment measures implemented. Twelve of the 16 interventions analysed that were intended to contain the overall pharmaceutical expenditure were not effective in reducing it even in the short term, and the four that were effective were not so in the long term, thus amounting to a moderate annual saving.
Footnotes
1
In a strict version, it means that the joint distribution function of the process is the same regardless of the moment in time.
 
2
The process has a finite memory.
 
3
That is, an intervention which effect will last from this period to the final period. In this case, the dummy variable that captures an intensification measure, for example the markup readjustment in June of 1999 that reinforce the previous one in March of 1997, can be interpreted as a interaction variable. In this sense, the dummy variable “June 1999” inform us about the effect in the period in which both interventions overlap and its interpretation is how much adds this second intervention (to the effect of the previous one) to the cost per capita, price per prescription or prescriptions per capita.
 
4
Following the form ARIMA(p,d,q)(P,D,Q)12, where d and D are the number of integrations in the regular and seasonal part respectively.
 
5
This model has a least square error value of 0.0082.
 
6
A Dickey-Fuller test has been employed in order to test this hypothesis.
 
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Metadata
Title
The impact of repeated cost containment policies on pharmaceutical expenditure: experience in Spain
Authors
Iván Moreno-Torres
Jaume Puig-Junoy
Josep M. Raya
Publication date
01-12-2011
Publisher
Springer-Verlag
Published in
The European Journal of Health Economics / Issue 6/2011
Print ISSN: 1618-7598
Electronic ISSN: 1618-7601
DOI
https://doi.org/10.1007/s10198-010-0271-1

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