Evidence map›Paper›PMID 35192093›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2022

Pharmaceutical pricing dynamics in an internal reference pricing system: evidence from changing drugs' reimbursements.

Eduardo Costa, Carolina Santos

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Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Indication-wide drug pricing: Insights from the pharma market.Journal of pharmaceutical policy and practice · 2022
    Article
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.

Eduardo CostaNova School of Business and Economics, Carcavelos, Portugal.ORCID https://orcid.org/0000-0002-4347-6338
Carolina SantosNova School of Business and Economics, Carcavelos, Portugal. carolina.santos.2012@novasbe.pt.ORCID https://orcid.org/0000-0001-8367-8156

Funding

Fundação para a Ciência e a Tecnologia BD128545/2017Fundação para a Ciência e a Tecnologia BD135299/2017
6 · The paper itself

Abstract

Reference pricing systems for prescription drugs are usually implemented with the aim of curbing public expenditure with pharmaceuticals, induce drug substitution from branded to generic drugs, and enhance competition. In these systems, patients co-pay the difference between the drug's pharmacy retail price and the health system reimbursement level. Relying on a detailed product-level panel dataset of prescription drugs sold in Portuguese retail pharmacies, from 2016 to 2019, we evaluate pharmaceutical firms' pricing decisions for branded and generic drugs, as well as consumers' reaction to price changes. In particular, we exploit the variation induced by a policy change, which decreased reference prices for 36% of the drug groups in our sample. Results from difference-in-differences analyses show that, despite the reference price decrease, affected firms increased their prices-particularly for off-patent branded products. Such reaction from firms resulted in an increase in the co-payment paid by patients. Such price effects caused a 17% decline on branded drugs' consumption, with significant heterogeneity across therapeutics. Estimates suggest that NHS reimbursement savings were mainly achieved through higher co-payments paid by patients. Additionally, pharmaceutical firms' reaction to the reference price decrease was contrary to what was expected, suggesting underlying competitive dynamics which should be considered prior to policy changes.

Indexed as

PharmacyPrescription DrugsCosts and Cost AnalysisDrug CostsDrugs, GenericEconomics, PharmaceuticalHealth ExpendituresHumansDrugs, GenericPrescription DrugsCo-paymentsNHS reimbursementsPrescription drugsPrice elasticityReference pricing

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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.