29
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Acesso à assistência oncológica: mapeamento dos fluxos origem-destino das internações e dos atendimentos ambulatoriais. O caso do câncer de mama Translated title: Access to cancer care: mapping hospital admissions and high-complexity outpatient care flows. The case of breast cancer

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Este estudo analisa o fluxo de pacientes atendidas com câncer de mama, no Brasil, no âmbito do SUS, segundo o tipo de tratamento recebido. Foram identificadas redes de atenção oncológica com base nas informações do Sistema de Informações Hospitalares e do Sistema Informações Ambulatoriais de Alta Complexidade em Oncologia, relativas ao período 2005-2006, utilizando os programas TabWin e TerraView. O atendimento está amplamente distribuído pelo território nacional, com forte concentração nos maiores centros, e indícios de escassez de atendimento mesmo nas regiões onde a oferta de serviços é maior. Grande proporção das pacientes reside a mais de 150km do local de atendimento. A identificação das redes constitui ferramenta com aplicação importante no planejamento e na melhoria da distribuição dos serviços, considerando que o acesso geográfico é relevante para o desfecho do tratamento. A redução das taxas de morbidade e mortalidade depende da identificação precoce, pois, uma vez identificado o caso, o tratamento adequado e ágil concorre para reduzir os impactos da doença.

          Translated abstract

          This study analyzes the flow of patients with breast cancer treated in Brazil's Unified National Health System (SUS) by type of treatment (surgery, radiotherapy, and chemotherapy). Hospital and outpatient services networks were identified based on data from the National Information System for Inpatient Care (SIH), and the National Information System for Outpatient Cancer Care, for 2005-2006, using TabWin and TerraView. Health services networks reach most of the country, and few municipalities are not connected to a network. However, treatment is highly concentrated in the largest cities, and even the latter show evidence of service shortages. Furthermore, a large proportion of patients live more than 150km from the respective service. Network identification is important for planning and improving services distribution, since geographic access is a relevant issue for treatment outcome. Reduction of morbidity and mortality requires early identification, and appropriate and prompt treatment can reduce the impacts of the disease.

          Related collections

          Most cited references18

          • Record: found
          • Abstract: found
          • Article: not found

          Late-Stage Breast Cancer Diagnosis and Health Care Access in Illinois.

          The variations of breast cancer mortality rates from place to place reflect both underlying differences in breast cancer prevalence and differences in diagnosis and treatment that affect the risk of death. This article examines the role of access to health care in explaining the variation of late-stage diagnosis of breast cancer. We use cancer registry data for the state of Illinois by zip code to investigate spatial variation in late diagnosis. Geographic information systems and spatial analysis methods are used to create detailed measures of spatial access to health care such as convenience of visiting primary care physicians and travel time from the nearest mammography facility. The effects of spatial access, in combination with the influences of socioeconomic factors, on late-stage breast cancer diagnosis are assessed using statistical methods. The results suggest that for breast cancer, poor geographical access to primary health care significantly increases the risk of late diagnosis for persons living outside the city of Chicago. Disadvantaged population groups including those with low income and racial and ethnic minorities tend to experience high rates of late diagnosis. In Illinois, poor spatial access to primary health care is more strongly associated with late diagnosis than is spatial access to mammography. This suggests the importance of primary care physicians as gatekeepers in early breast cancer detection.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            A graph theory interpretation of nodal regions

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Global Cancer Facts & Figures 2007

                Bookmark

                Author and article information

                Journal
                csp
                Cadernos de Saúde Pública
                Cad. Saúde Pública
                Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz (Rio de Janeiro, RJ, Brazil )
                0102-311X
                1678-4464
                February 2011
                : 27
                : 2
                : 317-326
                Affiliations
                [04] Rio de Janeiro Rio de Janeiro orgnameInstituto Nacional de Câncer Brazil
                [01] Rio de Janeiro orgnameInstituto Brasileiro de Geografia e Estatística Brazil
                [02] Rio de Janeiro Rio de Janeiro orgnameUniversidade Federal do Estado do Rio de Janeiro orgdiv1Escola de Enfermagem Alfredo Pinto Brazil
                [03] Rio de Janeiro Rio de Janeiro orgnameUniversidade Federal do Rio de Janeiro orgdiv1Instituto de Estudos em Saúde Coletiva Brazil
                [05] Rio de Janeiro Rio de Janeiro orgnameFundação Oswaldo Cruz orgdiv1Escola Nacional de Saúde Pública Sergio Arouca Brazil
                Article
                S0102-311X2011000200013 S0102-311X(11)02700213
                10.1590/S0102-311X2011000200013
                21359468
                2011125e-f99a-4906-a721-6001d4cb0d53

                This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

                History
                : 13 August 2010
                : 01 April 2010
                : 13 October 2010
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 21, Pages: 10
                Product

                SciELO Public Health

                Self URI: Texto completo somente em PDF (PT)
                Categories
                Artigo

                Informations Systems,Spatial Analysis,Health Services Accessibility,Neoplasmas de Mama,Análise Espacial,Sistemas de Informação,Breast Neoplasms,Acesso aos Serviços de Saúde

                Comments

                Comment on this article

                scite_

                Similar content279

                Cited by41

                Most referenced authors114