Evidence map›Paper›PMID 26573841›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2016

The diffusion of generics after patent expiry in Germany.

Katharina Elisabeth Fischer, Tom Stargardt

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Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
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  5. Article
  6. Attitude and Purchase Intention to Generic Drugs.International journal of environmental research and public health · 2021
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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.

Katharina Elisabeth FischerHamburg Center for Health Economics, Universität Hamburg, Esplanade 36, 20354, Hamburg, Germany. katharina.fischer@uni-hamburg.de.
Tom StargardtHamburg Center for Health Economics, Universität Hamburg, Esplanade 36, 20354, Hamburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To identify the influences on the diffusion of generics after patent expiry, we analyzed 65 generic entries using prescription data of a large German sickness fund between 2007 and 2012 in a sales model. According to theory, several elements are responsible for technology diffusion: (1) time reflecting the rate of adaption within the social system, (2) communication channels, and (3) the degree of incremental innovation, e.g., the modifications of existing active ingredient's strength. We investigated diffusion in two ways: (1) generic market share (percentage of generic prescriptions of all prescriptions of a substance) and, (2) generic sales quantity (number of units sold) over time. We specified mixed regression models. Generic diffusion takes considerable time. An average generic market share of about 75 % was achieved not until 48 months. There was a positive effect of time since generic entry on generic market share (p < 0.001) and sales (p < 0.001). Variables describing the communication channels and the degree of innovation influenced generic market share (mostly p < 0.001), but not generic sales quantity. Market structure, e.g., the number of generic manufacturers (p < 0.001) and prices influenced both generic market share and sales. Imperfections in generic uptake through informational cascades seem to be largely present. Third-party payers could enhance means to promote generic diffusion to amplify savings through generic entry.

Indexed as

Drug CostsDiffusion of InnovationDrug IndustryDrugs, GenericDrug UtilizationEconomic CompetitionGermanyHumansModels, EconometricPatents as TopicTime FactorsDrugs, GenericGeneric entryGeneric market shareMarket regulationOff-patent marketsPharmaceutical industryProduct life cycle

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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.