Evidence map›Paper›PMID 21524312›Full record

ArticleBMC health services research2011

Analyzing generic and branded substitution patterns in the Netherlands using prescription data.

Petros Pechlivanoglou, Willem Jan van der Veen, Jens H Bos, Maarten J Postma

Abstract read
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Article in BMC health services research, 2011. 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

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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

11 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. The diffusion of generics after patent expiry in Germany.The European journal of health economics : HEPAC : health economics in prevention and care · 2016
    Article
  9. Article
  10. Observational
  11. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Petros PechlivanoglouUnit of PharmacoEpidemiology and PharmacoEconomics (PE2), Department of Pharmacy, University of Groningen, A, Deusinglaan 1, 9713 AV Groningen, The Netherlands. P.Pechlivanoglou@rug.nl
Willem Jan van der Veen
Jens H Bos
Maarten J Postma

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs in other societies, pharmaceutical expenditures in the Netherlands are rising every year. As a consequence, needs for cost control are often expressed. One possible solution for cost control could come through increasing generic substitution by pharmacists. We aim to analyse the extent and nature of substitution in recent years and estimate the likelihood of generic or branded substitution in Dutch pharmacies in relation to various characteristics.

methodsWe utilized a linked prescription dataset originating from a general practitioner (GP) and a pharmacy database, both from the northern Netherlands. We selected specific drugs of interest, containing about 55,000 prescriptions from 15 different classes. We used a crossed generalized linear mixed model to estimate the effects that certain patient and pharmacy characteristics as well as timing have on the likelihood that a prescription will eventually be substituted by the pharmacist.

resultsGeneric substitution occurred at 25% of the branded prescriptions. Generic substitution was more likely to occur earlier in time after patent expiry and to patients that were older and more experienced in their drug use. Individually owned pharmacies had a lower probability of generic substitution compared to chain pharmacies. Oppositely, branded substitution occurred in 10% of generic prescriptions and was positively related to the patients' experience in branded use. Individually owned pharmacies were more likely to substitute a generic drug to a branded compared to other pharmacies. Antidepressant and PPI prescriptions were less prone to generic and more prone to branded substitution.

conclusionAnalysis of prescription substitution by the pharmacist revealed strong relations between substitution and patient experience on drug use, pharmacy status and timing. These findings can be utilised to design further strategies to enhance generic substitution.

Indexed as

Antidepressive AgentsDatabases, FactualDrugs, GenericDrug SubstitutionGeneral PractitionersHealth Care CostsHumansMultivariate AnalysisNetherlandsPharmacistsPractice Patterns, Physicians'Prescription DrugsProton Pump InhibitorsStatistics as TopicAntidepressive AgentsDrugs, GenericPrescription DrugsProton Pump Inhibitors

Identifiers

PMID21524312
PMCPMC3107776

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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.