Evidence map›Paper›PMID 31903523›Full record

ArticlePharmacoEconomics2020

Determinants of Orphan Drug Prices in Germany.

Franziska Worm, Charalabos-Markos Dintsios

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Article in PharmacoEconomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

  1. Price development of orphan drugs in Germany after market access and subsequent assessments: a descriptive analysis.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
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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

2 authors.

Franziska WormHealth Economics, University Duisburg-Essen, Essen, Germany.
Charalabos-Markos DintsiosInstitute for Health Services Research and Health Economics, Medical Faculty, Heinrich-Heine-University Düsseldorf, Building: 12.49, Moorenstr. 5, 40225, Düsseldorf, Germany. dintsios@hhu.de.ORCID 0000-0003-3469-092X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveLegislation introduced in 2011 in Germany has instituted an early benefit assessment of newly licensed pharmaceuticals with a subsequent price negotiation. For orphan drugs (ODs) a special legal framework applies, which accounts for the fact that ODs do not have to prove an added benefit over an appropriate comparative therapy previously determined by the decision maker. As, in addition, the content of negotiations between pharmaceutical companies and the payer is confidential, the aim of this study was to identify factors influencing the negotiated prices of ODs.

methodsTwelve hypotheses on factors influencing the negotiated OD price were derived based on the existing literature and framework agreement between payers and pharmaceutical unions according to German social legislation. Univariate analyses were applied to detect statistically significant correlations between annual therapeutic costs of ODs and the hypothesized factors. Bivariate analyses were used to determine confounding factors. In addition, a multiple ordinary least squares (OLS) regression with backward selection was conducted. Finally, sensitivity analyses assessed the robustness of the results.

resultsThirty-five ODs were included in the analysis. The univariate analyses and subsequent sensitivity analyses validated five of the 12 hypotheses formulated. Univariate analyses suggest a statistically significant association between the OD price and the (i) therapeutic area; (ii) approval for pediatric care; (iii) treatment population size; (iv) cost of comparative therapies; and (v) European prices. The OLS regression identified European prices as the variable with the strongest association with the negotiated prices.

conclusionWe show that German OD pricing is a multivariate phenomenon. However, due to interdependencies, these results must be treated with caution.

Indexed as

AdultChildCosts and Cost AnalysisDrug CostsDrug IndustryGermanyHumansLeast-Squares AnalysisOrphan Drug ProductionPediatricsPopulation Density

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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.