Evidence map›Paper›PMID 42152165›Full record

ArticleHealth economics2026

Evaluation of a Partial Ban on Rx-Rebates in Germany.

Maximilian M Gail, Georg Götz, Daniel Herold, Jan T Schäfer

Abstract read
In one paragraph

Article in Health economics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Maximilian M GailDepartment of Economics, Chair for Industrial Organization, Regulation and Antitrust, Justus Liebig University Giessen. Licher Strasse 62, Giessen, Germany.
Georg GötzDepartment of Economics, Chair for Industrial Organization, Regulation and Antitrust, Justus Liebig University Giessen. Licher Strasse 62, Giessen, Germany.
Daniel HeroldDepartment of Economics, Chair for Industrial Organization, Regulation and Antitrust, Justus Liebig University Giessen. Licher Strasse 62, Giessen, Germany.ORCID 0000-0002-4500-4385
Jan T SchäferDepartment of Economics, Chair for Industrial Organization, Regulation and Antitrust, Justus Liebig University Giessen. Licher Strasse 62, Giessen, Germany.ORCID 0000-0001-5008-356X

Funding

AVWL
6 · The paper itself

Abstract

We investigate patients' price sensitivity for prescription (Rx) drugs with regards to patronizing online or brick-and-mortar pharmacies. In doing so, we exploit a policy change in Germany that prohibited online pharmacies from granting rebates to one part of the population, the members of the statutory health insurance scheme. This policy change created a natural experiment, allowing us to analyze its impact on the pharmaceutical market using Difference-in-Differences (DiD). Utilizing a novel dataset obtained from merchandize information systems, we find that the ban led to a shift in consumer behavior, increasing offline pharmacy Rx sales by 1.42%-1.67%. In a second step, we assess to what extent the policy change achieved its alleged goal of supporting brick-and-mortar pharmacies. Our findings indicate that pharmacies with low revenues, which are most exposed to market exit, saw only a minor increase in annual revenues of around € 1587. At the same time, pharmacies in the highest decile gained roughly four times that amount. This indicates that the policy change alone was insufficient to reverse the declining trend in pharmacy numbers in Germany. To strengthen the comprehensive supply of pharmaceuticals to the general population, additional reforms seem necessary.

Indexed as

Pharmaceutical Services, OnlinePharmaciesPrescription DrugsDrug CostsGermanyHumansPrescription Drugs

Identifiers

PMID42152165
PMCPMC13327509

What OpenQuestion holds

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LicenceCC BY
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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.