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      Transition to universal primary health care coverage in Brazil: Analysis of uptake and expansion patterns of Brazil’s Family Health Strategy (1998-2012)

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          Abstract

          Family Health Strategy, the primary health care program in Brazil, has been scaled up throughout the country, but its expansion has been heterogeneous across municipalities. We investigate if there are unique municipal characteristics that can explain the timing of uptake and the pattern of expansion of the Family Health Strategy from years 1998 to 2012. We categorized municipalities in six groups based on the relative speed of the Family Health Strategy uptake and the pattern of Family Health Strategy coverage expansion. We assembled data for 11 indicators for years 2000 and 2010, for 5,507 municipalities, and assessed differences in indicators across the six groups, which we mapped to examine spatial heterogeneities. Important factors differentiating early and late adopters of the Family Health Strategy were supply of doctors and population density. Sustained coverage expansion was related mainly to population size, marginal benefits of the program and doctors’ supply. The uptake was widespread nationwide with no distinct patterns among regions, but highly heterogeneous at the state and municipal level. The Brazilian experience of expanding primary health care offers three lessons in relation to factors influencing diffusion of primary health care. First, the funding mechanism is critical for program implementation, and must be accompanied by ways to support the supply of primary care physicians in low density areas. Second, in more developed and bigger areas the main challenge is lack of incentives to pursue universal coverage, especially due to the availability of private insurance. Third, population size is a crucial element to guarantee coverage sustainability over time.

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          Overcoming health-systems constraints to achieve the Millennium Development Goals.

          Effective interventions exist for many priority health problems in low income countries; prices are falling, and funds are increasing. However, progress towards agreed health goals remains slow. There is increasing consensus that stronger health systems are key to achieving improved health outcomes. There is much less agreement on quite how to strengthen them. Part of the challenge is to get existing and emerging knowledge about more (and less) effective strategies into practice. The evidence base also remains remarkably weak, partly because health-systems research has an image problem. The forthcoming Ministerial Summit on Health Research seeks to help define a learning agenda for health systems, so that by 2015, substantial progress will have been made to reducing the system constraints to achieving the MDGs.
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            Ill-defined causes of death in Brazil: a redistribution method based on the investigation of such causes

            OBJECTIVE To propose a method of redistributing ill-defined causes of death (IDCD) based on the investigation of such causes. METHODS In 2010, an evaluation of the results of investigating the causes of death classified as IDCD in accordance with chapter 18 of the International Classification of Diseases (ICD-10) by the Mortality Information System was performed. The redistribution coefficients were calculated according to the proportional distribution of ill-defined causes reclassified after investigation in any chapter of the ICD-10, except for chapter 18, and used to redistribute the ill-defined causes not investigated and remaining by sex and age. The IDCD redistribution coefficient was compared with two usual methods of redistribution: a) Total redistribution coefficient, based on the proportional distribution of all the defined causes originally notified and b) Non-external redistribution coefficient, similar to the previous, but excluding external causes. RESULTS Of the 97,314 deaths by ill-defined causes reported in 2010, 30.3% were investigated, and 65.5% of those were reclassified as defined causes after the investigation. Endocrine diseases, mental disorders, and maternal causes had a higher representation among the reclassified ill-defined causes, contrary to infectious diseases, neoplasms, and genitourinary diseases, with higher proportions among the defined causes reported. External causes represented 9.3% of the ill-defined causes reclassified. The correction of mortality rates by the total redistribution coefficient and non-external redistribution coefficient increased the magnitude of the rates by a relatively similar factor for most causes, contrary to the IDCD redistribution coefficient that corrected the different causes of death with differentiated weights. CONCLUSIONS The proportional distribution of causes among the ill-defined causes reclassified after investigation was not similar to the original distribution of defined causes. Therefore, the redistribution of the remaining ill-defined causes based on the investigation allows for more appropriate estimates of the mortality risk due to specific causes.
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              O financiamento da Atenção Básica e da Estratégia Saúde da Família no Sistema Único de Saúde

              Analisa-se o financiamento do nível da Atenção Básica à saúde, com ênfase na expansão dos recursos alocados para a Estratégia Saúde da Família. A primeira parte detalha o crescimento dos recursos do Ministério da Saúde para a Atenção Básica, particularmente os transferidos mediante o Piso de Atenção Básica Variável, que incorpora os diferentes incentivos financeiros destinados aos municípios que desenvolvem os programas neste nível de atenção. A segunda parte analisa as dificuldades do financiamento tendo em vista a instabilidade dos recursos próprios municipais e também discute algumas sugestões de modificações nos critérios de repasse dos recursos federais transferidos aos municípios.
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                Author and article information

                Contributors
                Role: Formal analysisRole: MethodologyRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: Writing – review & editing
                Role: Writing – review & editing
                Role: Data curationRole: VisualizationRole: Writing – review & editing
                Role: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                10 August 2018
                2018
                : 13
                : 8
                : e0201723
                Affiliations
                [1 ] Center for Development and Regional Planning, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
                [2 ] Takemi Program in International Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
                [3 ] Faculty of Medical Sciences, University of São Paulo, São Paulo, São Paulo, Brazil
                [4 ] Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
                Netherlands Institute for Health Services Research, NETHERLANDS
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-6821-1598
                Article
                PONE-D-17-34642
                10.1371/journal.pone.0201723
                6086633
                30096201
                31ed84de-5c58-445a-aca6-189efb03a24a
                © 2018 Andrade et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 24 September 2017
                : 20 July 2018
                Page count
                Figures: 4, Tables: 0, Pages: 11
                Funding
                The authors received no specific funding for this work.
                Categories
                Research Article
                People and places
                Geographical locations
                South America
                Brazil
                Biology and Life Sciences
                Population Biology
                Population Metrics
                Population Density
                Medicine and Health Sciences
                Health Care
                Socioeconomic Aspects of Health
                Medicine and Health Sciences
                Public and Occupational Health
                Socioeconomic Aspects of Health
                Social Sciences
                Economics
                Health Economics
                Health Insurance
                Medicine and Health Sciences
                Health Care
                Health Economics
                Health Insurance
                Social Sciences
                Economics
                Development Economics
                Economic Development
                People and Places
                Population Groupings
                Professions
                Medical Personnel
                Medical Doctors
                Medicine and Health Sciences
                Health Care
                Health Care Providers
                Medical Doctors
                Medicine and Health Sciences
                Health Care
                Health Care Providers
                Allied Health Care Professionals
                Social Sciences
                Economics
                Finance
                Custom metadata
                All data were extracted from publicly available sources, and are de-identified. 1. IBGE. Produto Interno Bruto Municipal. Rio de Janeiro: Instituto Brasileiro de Geografia e Estatística, Sistema de Contas Nacionais. http://www.sidra.ibge.gov.br/bda/pesquisas/PIBMun/default.asp; 2015. 2. IBGE. Deflator do Produto Interno Bruto Municipal. Rio de Janeiro: Instituto Brasileiro de Geografia e Estatística, Sistema de Contas Nacionais. http://seriesestatisticas.ibge.gov.br/series.aspx?no=12&op=0&vcodigo=SCN54&t=deflator-produto-interno-bruto; 2015. 3. PNUD FJP, IPEA. Atlas do Desenvolvimento Humano no Brasil www.atlasbrasil.org.br/2013/ Programa das Nações Unidas para o Desenvolvimento (PNUD), Fundação João Pinheiro, Instituto de Pesquisa Econômica Aplicada (IPEA). 4. IBGE. Pesquisa Assistência Médico Sanitária. Rio de Janeiro: Ministério da Saúde, DATASUS. http://www2.datasus.gov.br/DATASUS/index.php?area=0204&id=11690; 2015. 5. Ministerio da Saúde. Cadastro Nacional dos Estabelecimentos de Saúde. Rio de Janeiro: Ministerio da Saúde, DATASUS. http://cnes.datasus.gov.br/pages/downloads/arquivosBaseDados.jsp; 2015. 6. Agência Nacional de Saúde Suplementar. Indicadores de Saúde Suplementar. Rio de Janeiro: Agência Nacional de Saúde Suplementar (ANS). http://www.ans.gov.br/perfil-do-setor/dados-e-indicadores-do-setor; 2015. 7. Brasil. Ministério da Saúde. Sistema de Informações sobre Mortalidade (SIM). Brasília, DF: Ministério da Saúde. http://www2.datasus.gov.br/DATASUS/index.php?area=0205&id=6937&VObj=http://tabnet.datasus.gov.br/cgi/deftohtm.exe?sim/cnv/obt10; 2015. 8. Historico da cobertura da Saude da Familia. In: Saúde MdS-Pd, editor. Historico da cobertura da Saude da Familia. http://dab.saude.gov.br/portaldab/historico_cobertura_sf.php.

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