Sociodemographic profile of medicines users in brazil: results from the 2014 pnaum survey

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dc.contributor.author Bertoldi, Andrea Damaso
dc.contributor.author Dal Pizzol, Tatiane da Silva
dc.contributor.author Ramos, Luiz Roberto [UNIFESP]
dc.contributor.author Mengue, Sotero Serrate
dc.contributor.author Luiza, Vera Lucia
dc.contributor.author Leao Tavares, Noemia Urruth
dc.contributor.author Farias, Mareni Rocha
dc.contributor.author Oliveira, Maria Auxiliadora
dc.contributor.author Dourado Arrais, Paulo Sergio
dc.date.accessioned 2019-01-21T10:29:34Z
dc.date.available 2019-01-21T10:29:34Z
dc.date.issued 2016
dc.identifier http://dx.doi.org/10.1590/s1518-8787.2016050006119
dc.identifier.citation Revista De Saude Publica. Sao paulo, v. 50, n. 2, p. 5s, 2016.
dc.identifier.issn 0034-8910
dc.identifier.uri http://repositorio.unifesp.br/handle/11600/49277
dc.description.abstract OBJECTIVE: To analyze the prevalence of medicine use by the Brazilian population and its distribution according to sociodemographic factors. METHODS: Study using data from the Pesquisa Nacional de Acesso, Utilizacao e Promocao do Uso Racional de Medicamentos (PNAUM - National Survey on Access, Use and Promotion of Rational Use of Medicines), a nationwide household survey of a representative sample of the Brazilian urban population. The data were collected between September 2013 and February 2014. The overall use of medicines, defined as the use of any medicine, use of medicines for treating chronic medical conditions and for acute health conditions, was evaluated. The independent variables included gender, age group, socioeconomic position, and region of Brazil. Analyzes included prevalence calculations, 95% confidence intervals (95% CI) and Pearson Chi-square tests to evaluate the differences between groups, considering a 5% level of significance. RESULTS: The prevalence of medicines use was 50.7% (95% CI 49.3-52.2), with 39.3% (95% CI 37.5-41.1) accounting for men and 61.0% (95% CI 59.3-62.6) for women. Medicines use was observed to increase with increasing age, except among children within the zero to four years age group. The lowest prevalence for medicines use was found among those with a low socioeconomic position and those who reside in the North region of Brazil. The prevalence of medicine use to treat chronic diseases was 24.3% (95% CI 23.3-25.4), whereas it was 33.7% (95% CI 32.1-35.4) for treating acute diseases. CONCLUSIONS: We found extensive variability in the prevalence of medicines use across regions of Brazil. The poorest regions (North, Northeast, and Midwest) have a lower prevalence of medicines use to treat chronic diseases, indicating the need to minimize inequalities in access to medicines within the country. en
dc.description.sponsorship Department of Pharmaceutical Services and Strategic Health Supplies (DAF) of the Secretariat of Science, Technology and Strategic Inputs from the Ministry of Health (SCTIE/MS) [25000,111834/2]
dc.description.sponsorship Department of Science and Technology (DECIT) of the Secretariat of Science, Technology and Strategic Inputs from the Ministry of Health (SCTIE/MS) [25000,111834/2]
dc.format.extent 5s
dc.language.iso eng
dc.publisher Hindawi Publishing Corp
dc.relation.ispartof Revista De Saude Publica
dc.rights Acesso aberto
dc.subject Drug Utilization en
dc.subject Self-Medication en
dc.subject Sao-Paulo en
dc.subject Adults en
dc.subject Campinas en
dc.title Sociodemographic profile of medicines users in brazil: results from the 2014 pnaum survey en
dc.title Perfil sociodemográfico dos usuários de medicamentos no Brasil: resultados da PNAUM 2014 pt
dc.type Artigo
dc.description.affiliation Departamento de Medicina Social. Faculdade de Medicina. Universidade Federal de Pelotas. Pelotas, RS, Brasil
dc.description.affiliation Departamento de Produção e Controle de Medicamentos. Faculdade de Farmácia. Universidade Federal do Rio Grande do Sul. Porto Alegre, RS, Brasil
dc.description.affiliation Departamento de Medicina Preventiva. Escola Paulista de Medicina. Universidade Federal de São Paulo. São Paulo, SP, Brasil
dc.description.affiliation Programa de Pós-Graduação em Epidemiologia. Faculdade de Medicina. Universidade Federal do Rio Grande do Sul. Porto Alegre, RS, Brasil
dc.description.affiliation Departamento de Política de Medicamentos e Assistência Farmacêutica. Escola Nacional de Saúde Pública Sérgio Arouca. Fundação Oswaldo Cruz. Rio de Janeiro, RJ, Brasil
dc.description.affiliation Departamento de Farmácia. Faculdade de Ciências da Saúde. Universidade de Brasília. Brasília, DF, Brasil
dc.description.affiliation Departamento de Ciências Farmacêuticas. Centro de Ciências da Saúde. Universidade Federal de Santa Catarina. Florianópolis, SC, Brasil
dc.description.affiliation Departamento de Farmácia. Faculdade de Farmácia, Odontologia e Enfermagem. Universidade Federal do Ceará. Fortaleza, CE, Brasil
dc.description.affiliationUnifesp Departamento de Medicina Preventiva. Escola Paulista de Medicina. Universidade Federal de São Paulo. São Paulo, SP, Brasil
dc.description.sponsorshipID SCTIE/MS: 25000,111834/2
dc.identifier.file S0034-89102016000300310.pdf
dc.identifier.scielo S0034-89102016000300310
dc.identifier.doi 10.1590/S1518-8787.2016050006119
dc.description.source Web of Science
dc.identifier.wos WOS:000391447400004



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