Evidence map›Paper›PMID 31644724›Full record

ArticleRevista de saude publica2019

Brazilian generics market change after Farmácia Popular program.

Andréa Dâmaso Bertoldi, Luisa Arueira Chaves, Dennis Ross-Degnan, Vera Lucia Luiza, Isabel Cristina Martins Emmerick, Rondineli Mendes da Silva, Mônica Rodrigues Campos

Abstract read
In one paragraph

Article in Revista de saude publica, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pharmaceutical policies: effects of regulating drug insurance schemes.The Cochrane database of systematic reviews · 2022
    Pooled it
  2. Review
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

7 authors.

Andréa Dâmaso BertoldiUniversidade Federal de Pelotas . Faculdade de Medicina . Programa de Pós-graduação em Epidemiologia . Pelotas , RS , Brasil.ORCID http://orcid.org/0000-0002-4680-3197
Luisa Arueira ChavesUniversidade Federal do Rio de Janeiro , Campus Macaé . Macaé , RJ , Brasil.ORCID http://orcid.org/0000-0002-9597-3651
Dennis Ross-DegnanHarvard Medical School & Harvard Pilgrim Health Care Institute . Department of Population Medicine , Drug Policy Research Group. Boston , MA , USA.ORCID http://orcid.org/0000-0002-0066-1242
Vera Lucia LuizaFundação Oswaldo Cruz . Escola Nacional de Saúde Pública Sergio Arouca . Departamento de Política de Medicamentos e Assistência Farmacêutica . Rio de Janeiro , RJ , Brasil.ORCID http://orcid.org/0000-0001-6245-7522
Isabel Cristina Martins EmmerickHarvard Medical School & Harvard Pilgrim Health Care Institute . Department of Population Medicine , Drug Policy Research Group. Boston , MA , USA.ORCID http://orcid.org/0000-0002-0383-2465
Rondineli Mendes da SilvaFundação Oswaldo Cruz . Escola Nacional de Saúde Pública Sergio Arouca . Departamento de Política de Medicamentos e Assistência Farmacêutica . Rio de Janeiro , RJ , Brasil.ORCID http://orcid.org/0000-0002-6243-5179
Mônica Rodrigues CamposFundação Oswaldo Cruz . Escola Nacional de Saúde Pública Sergio Arouca . Departamento de Ciências Sociais . Rio de Janeiro , RJ , Brasil.ORCID http://orcid.org/0000-0002-7443-5977

Funding

Translational Research Core - Health Engagement & Action Translational (HEAT)P30DK092924 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI Alyce Sophia Adams, HILARY Kessler SELIGMAN · 2011 to 2026
$9.2M
NIDDK NIH HHS P30 DK092924
6 · The paper itself

Abstract

objectiveTo evaluate trends in the use of generic and non-generic medicines to treat hypertension and diabetes under the Farmácia Popular Program (FP) and its impact on generic medicines sales volume and market share in the Brazilian pharmaceutical market.

methodsThis longitudinal, retrospective study used interrupted time series design to analyze changes in monthly sales volume and proportion of medicines sales (market share) for oral antidiabetic and antihypertensive medicines for generic versus non-generic products. Analyses were conducted in a combined dataset that aggregate monthly sales volumes from the Farmácia Popular program and from the QuintilesIMS™ (IQVIA) national market sales data from January 2007 to December 2012. The Farmácia Popular program phases analyzed included: a) 2009 reductions in medicines reference prices (AFP-II) and b) 2011 implementation of free medicines program for hypertension and diabetes, the Saúde não tem preço (SNTP - Health has no price).

resultsPatterns of use for FP-covered antidiabetic and antihypertensive medicines were similar to their use in the market in general. After one year of the decreases in government subsidies in April 2010, market share of antidiabetic and antihypertensive medicines experienced relative declines of -54.5% and -59.9%, respectively. However, when FP-covered medicines were made free to patients, overall market volume for antidiabetic and antihypertensive generics increased dramatically, with 242.6% and 277.0% relative increases by February 2012, as well as non-generics with relative increase of 209.7% and 279% for antidiabetic and antihypertensive medicines, respectively.

conclusionsMinistry of Health policies on the amount of patient cost sharing and on the choice of medicines on coverage lists have substantial impacts on overall generic sales volume in retail pharmacies.

Indexed as

Antihypertensive AgentsBrazilCommerceCommunity Pharmacy ServicesDiabetes MellitusDrugs, GenericHealth PolicyHumansHypertensionHypoglycemic AgentsInterrupted Time Series AnalysisLongitudinal StudiesNational Health ProgramsPharmaciesProgram EvaluationReference ValuesAntihypertensive AgentsDrugs, GenericHypoglycemic Agents

Identifiers

PMID31644724
PMCPMC9586443

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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.