Exploring the effectiveness of demand-side retail pharmaceutical expenditure reforms. Cross-country evidence from weighted-average least squares estimation

Berger, MichaelORCID: https://orcid.org/0000-0002-1183-8410; Pock, Markus; Reiss, MiriamORCID: https://orcid.org/0000-0002-7009-7341; Röhrling, Gerald and Czypionka, ThomasORCID: https://orcid.org/0000-0002-3381-1075 (2023) Exploring the effectiveness of demand-side retail pharmaceutical expenditure reforms. Cross-country evidence from weighted-average least squares estimation. International Journal of Health Economics and Management. https://doi.org/10.1007/s10754-022-09337-6

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Abstract

Increasing expenditures on retail pharmaceuticals bring a critical challenge to the financial stability of healthcare systems worldwide. Policy makers have reacted by introducing a range of measures to control the growth of public pharmaceutical expenditure (PPE). Using panel data on European and non-European OECD member countries from 1990 to 2015, we evaluate the effectiveness of six types of demand-side expenditure control measures including physician-level behaviour measures, system-level price-control measures and substitution measures, alongside a proxy for cost-sharing and add a new dimension to the existing empirical evidence hitherto based on national-level and meta-studies. We use the weighted-average least squares regression framework adapted for estimation with panel-corrected standard errors. Our empirical analysis suggests that direct patient cost-sharing and some—but not all—demand-side measures successfully dampened PPE growth in the past. Cost-sharing schemes stand out as a powerful mechanism to curb PPE growth, but bear a high risk of adverse effects. Other demand-side measures are more limited in effect, though may be more equitable. Due to limitations inherent in the study approach and the data, the results are only explorative.

Item Type: Article in Academic Journal
Keywords: Public pharmaceutical expenditure, Health expenditure, Pharmaceutical policy, Panel data models, Weighted-average least squares
Classification Codes (e.g. JEL): I18
Research Units: Health Economics and Health Policy
Date Deposited: 22 Sep 2022 07:35
Last Modified: 19 Sep 2024 08:54
DOI: 10.1007/s10754-022-09337-6
ISSN: 2199-9023
URI: https://irihs.ihs.ac.at/id/eprint/6269

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