Evidence map›Paper›PMID 36131191›Full record

ArticleInternational journal of health economics and management2023

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

Michael Berger, Markus Pock, Miriam Reiss, Gerald Röhrling, Thomas Czypionka

Abstract read
In one paragraph

Article in International journal of health economics and management, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Michael BergerDepartment of Health Economics Center for Public Health, Medical University of Vienna, Vienna, Austria.
Markus PockInstitute for Advanced Studies, Josefstädterstraße 39, Vienna, Austria.
Miriam ReissInstitute for Advanced Studies, Josefstädterstraße 39, Vienna, Austria.
Gerald RöhrlingInstitute for Advanced Studies, Josefstädterstraße 39, Vienna, Austria.
Thomas CzypionkaInstitute for Advanced Studies, Josefstädterstraße 39, Vienna, Austria. czypionk@ihs.ac.at.ORCID http://orcid.org/0000-0002-3381-1075

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Drug CostsHealth ExpendituresCost SharingHumansLeast-Squares AnalysisPharmaceutical PreparationsPharmaceutical PreparationsHealth expenditurePanel data modelsPharmaceutical policyPublic pharmaceutical expenditureWeighted-average least squares

Identifiers

PMID36131191
PMCPMC9968684

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.