112 research outputs found

    Acesso a medicamentos pelo Sistema Único de Saúde e equidade: inquéritos de base populacional em São Paulo, Brasil

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    : Introduction: Since 2003, the access to medication has been increasing in Brazil and particularly in São Paulo. The present study aimed to analyze the access to medication obtained in the public sector and the socioeconomic differences in this access in 2003 and 2008. Also, we explored the difference in access to medication from 2003 to 2008. Method: Data were obtained from two cross-sectional population-based household surveys from São Paulo, Brazil (ISA-Capital 2003 and ISA-Capital 2008). Concentration curve and concentration index were calculated to analyze the associations between socioeconomic factors and access to medication in the public sector. Additionally, the differences between 2003 and 2008 regarding socioeconomic characteristics and access to medication were studied. Results: Access to medication was 89.55% in 2003 and 92.99% in 2008, and the proportion of access to medication did not change in the period. Access in the public sector increased from 26.40% in 2003 to 48.55% in 2008 and there was a decrease in the concentration index between 2003 and 2008 in access to medication in the public sector. Conclusions: The findings indicate an expansion of Brazilian Unified Health System (Sistema Único de Saúde ) users, with the inclusion of people of higher socioeconomic position in the public sector. As the SUS gives more support to people of lower socioeconomic position in terms of medication provision, the SUS tends to equity. Nevertheless, universal coverage for medication and equity in access to medication in the public sector are still challenges for the Brazilian public health system.: Introdução: Desde 2003, o acesso da população a medicamentos tem aumentado no Brasil e particularmente em São Paulo. O estudo visou analisar o acesso a medicamentos obtidos do setor público e as desigualdades socioeconômicas nesse acesso em 2003 e em 2008. Método: Os dados são provenientes dos inquéritos domiciliares de saúde ISA-Capital, realizados na cidade de São Paulo em 2003 e em 2008. Foi feita Regressão Logística para analisar os fatores associados ao acesso a medicamentos. A análise das desigualdades no acesso a medicamentos foi feita a partir da Curva de Concentração e Índice de Concentração. Adicionalmente, as diferenças entre os anos de 2003 e 2008 com relação às características socioeconômicas e ao acesso a medicamentos foram estudadas. Resultados: O acesso a medicamentos foi 89,55% em 2003 e 92,99% em 2008. O acesso a medicamentos pelo setor público aumentou de 26,40% em 2003 para 48,55% em 2008 e foi maior na população com menor poder aquisitivo, porém houve mudança no índice de concentração entre 2003 e 2008. Conclusões: Os achados indicam a expansão da clientela do Sistema Único de Saúde na cobertura de medicamentos, com a entrada da população com maior poder aquisitivo no setor público. O acesso continua maior na população com menor poder aquisitivo, o que sugere que o SUS tenta a equidade na provisão de medicamentos. Entretanto, a cobertura universal para gastos com medicamentos essenciais e a equidade no acesso a medicamentos pelo setor público ainda são desafios para o SUS.191263

    Acesso A Medicamentos Pelo Sistema Único De Saúde E Equidade: Inquéritos De Base Populacional Em São Paulo, Brasil

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    Since 2003, the access to medication has been increasing in Brazil and particularly in São Paulo. The present study aimed to analyze the access to medication obtained in the public sector and the socioeconomic differences in this access in 2003 and 2008. Also, we explored the difference in access to medication from 2003 to 2008. Method: Data were obtained from two cross-sectional population-based household surveys from São Paulo, Brazil (ISA-Capital 2003 and ISA-Capital 2008). Concentration curve and concentration index were calculated to analyze the associations between socioeconomic factors and access to medication in the public sector. Additionally, the differences between 2003 and 2008 regarding socioeconomic characteristics and access to medication were studied. Results: Access to medication was 89.55% in 2003 and 92.99% in 2008, and the proportion of access to medication did not change in the period. Access in the public sector increased from 26.40% in 2003 to 48.55% in 2008 and there was a decrease in the concentration index between 2003 and 2008 in access to medication in the public sector. Conclusions: The findings indicate an expansion of Brazilian Unified Health System (Sistema Único de Saúde ) users, with the inclusion of people of higher socioeconomic position in the public sector. As the SUS gives more support to people of lower socioeconomic position in terms of medication provision, the SUS tends to equity. Nevertheless, universal coverage for medication and equity in access to medication in the public sector are still challenges for the Brazilian public health system.191263

    Socioeconomic Inequalities In Dental Health Services In Sao Paulo, Brazil, 2003-2008

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    Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Access to, and use of, dental health services in Brazil have improved since 2003. The increase of private health care plans and the implementation of the "Smiling Brazil" Program, the largest public oral health care program in the world, could have influenced this increase in access. However, we do not yet know if inequalities in the use of dental health services persist after the improvement in access. The aims of this study are to analyze socioeconomic differences for dental health service use between 2003 and 2008 in Sao Paulo and to examine changes in these associations since the implementation of the Smiling Brazil program in 2003. Method: Data was obtained via two household health surveys (ISA-Capital 2003 and ISA-Capital 2008) which investigated living conditions, lifestyle, health status and use of health care services. Logistic regression was used to analyze associations between socioeconomic factors and dental services use. Additionally, trends from 2003 to 2008 regarding socioeconomic characteristics and dental health service use were explored. Results: Overall, dental health service use increased between 2003 and 2008 and was at both time points more common among those who had higher income, better education, better housing conditions, private health care plans and were Caucasian. Inequalities in use of dental health care did not decrease over time. Among the reasons for not seeking dental care, not having teeth and financial difficulty were more common in lower socioeconomic groups, while thinking it was unnecessary was more common in higher socioeconomic groups. Conclusions: The Brazilian oral health policy is still in a period of expansion and seems to have contributed slightly to increased dental health service use, but has not influenced socioeconomic inequalities in the use of these services. Acquiring deeper knowledge about inequalities in dental health service use will contribute to better understanding of potential barriers to reducing them.16Sao Paulo Research Foundation-FAPESP [2012/214153-0, 2013/26687-2]National Council for Scientific and Technological Development (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq

    Uso, Acesso E Equidade Nos Serviços De Saúde Em São Paulo, Brasil

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    The study analyzed how socioeconomic factors are associated with seeking, access, use, and quality of health care services in São Paulo, Brazil. Data were obtained from two household health surveys in São Paulo. We used logistic regression to analyze associations between socioeconomic factors and seeking, access, use, and quality of health care services. Access to health care services was high among those who sought it (94.91% in 2003 and 94.98% in 2008). The proportion of access to and use of health care services did not change significantly from 2003 to 2008. Use of services in the public sector was more frequent in lower socioeconomic groups. There were some socioeconomic differences in seeking health care and resolution of health problems. The study showed almost universal access to health care services, but the results suggest problems in quality of services and differences in quality experienced by lower socioeconomic groups, who mostly use the Brazilian Unified National Health System (SUS).33

    Qual a influência de hábitos de vida e fatores socioeconômicos na ocorrência de câncer de próstata no Brasil?

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    Objective: the investigation of physical, lifestyle and socioeconomic features that may be associated with the occurrence of prostate cancer in Brazil. Methods: a microdata base referring to the 2019 National Health Survey in Brazil was used, with the selection of 42,799 male individuals; this group was analyzed using statistical methods and machine learning modeling (logistic regression and decision tree). Results: the models applied allowed us to identify with a good level of accuracy individuals with prostate cancer diagnosis (DCP), in addition to groups with specific features more strongly associated with such a disease. Conclusion: the models indicate a significant influence of socioeconomic, physical and dietary factors on the frequency of DCP in the analyzed group. The high level of accuracy and sensitivity of the models demonstrates the potential of machine learning methods for predicting DCP.Objetivo: investigar características físicas, de estilo de vida y socioeconómicas que pueden estar asociadas con la aparición de cáncer de próstata en Brasil. Métodos: se utilizó una base de microdatos referente a la Encuesta Nacional de Salud de 2019, con la selección de 42.799 individuos del sexo masculino; este grupo fue analizado mediante métodos estadísticos y modelado de machine learning (regresión logística y árbol de decisión). Resultados: los modelos aplicados permitieron identificar con buen nivel de exactitud a los individuos con diagnóstico de cáncer de próstata (DCP), además de grupos con características específicas más fuertemente asociadas a esta enfermedad. Conclusión: los modelos indican influencia significativa de factores socioeconómicos, físicos y dietéticos sobre la frecuencia de DCP en el grupo analizado. El alto nivel de exactitud y sensibilidad de los modelos demuestra el potencial de los métodos de machine learning para predecir la DCP.Objetivo: investigar características físicas, de hábitos de vida e socioeconômicas que podem estar associadas à ocorrência de câncer de próstata no Brasil. Métodos: uma base de microdados referente à Pesquisa Nacional de Saúde 2019 foi utilizada, com a seleção de 42.799 indivíduos do sexo masculino; este grupo foi analisado por meio de métodos estatísticos e modelagem por machine learning (regressão logística e árvore de decisão). Resultados: os modelos aplicados permitiram identificar com bom nível de acurácia os indivíduos que receberam o diagnóstico de câncer de próstata (DCP), além de grupos com características específicas mais fortemente associados a esta doença. Conclusão: os modelos indicam uma influência significativa de fatores socioeconômicos, físicos e alimentares na frequência de DCP no grupo analisado. O alto nível de acurácia e sensibilidade dos modelos demonstra o potencial dos métodos de machine learning para a previsão de DCP

    Use of medicines in São Paulo, Brazil, and State Health Care Coverage, 2003 and 2015

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    OBJECTIVES: To analyze the use and acquisition of medicines in São Paulo, Brazil, in 2003 and 2015, according to sociodemographic factors, socioeconomic status, and health conditions of the population. METHODS: Data were obtained from population health surveys “ISA-Capital”. Descriptive analysis, bivariate analysis, and logistic regression models were used to evaluate the use of medicines and coverage by the Brazilian Unified Health System (SUS) according to socioeconomic status and health conditions in two periods: 2003 and 2015. RESULTS: From 2003 to 2015, the surveys showed an increase in the income and education level of the study population. There was no increase in the prevalence of chronic diseases and use of medicines from 2003 to 2015. The provision of medicines by SUS was higher in 2015 than in 2003, and the coverage by SUS was higher in the population with lower education level and income in both 2003 and 2015. CONCLUSIONS: The use of medicines, mainly for chronic disease control, did not change over the years, and there was an increase in SUS coverage for medicines during 2003-2015 in all population groups, with a greater impact on the lower socioeconomic status population. The programs of the provision of medicines implanted since 2003 had influenced the greater SUS coverage for medicines and in the reduction of inequalities in access to medicines

    Social inequalities in access to cancer screening and early detection: A population-based study in the city of São Paulo, Brazil

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    Objective: This study monitors trends in access to cancer screening, focusing on mammography, Papanicolaou (Pap smear), and Prostate-Specific Antigen (PSA), assessing the magnitude of inequality in the city of São Paulo from 2003 to 2015 according to education level. Method: This is a cross-sectional population-based study conducted with data from the 2003, 2008, and 2015 editions of the Health Survey of the City of São Paulo (ISA-Capital). Outcome variables were the proportion of mammography, Papanicolaou (Pap smear), and Prostate-Specific Antigen (PSA) tests according to the protocols. Inequality was measured by education level according to years of study. For static analysis, Poisson regression was used to estimate proportion ratios. Results: The proportion of Pap smears remained stationary at a high level (>89%) throughout the study period, while access to mammography and PSA tests significantly increased in the 2003‒2015 period. The present results indicate inequalities in access to cancer screening due to education, and being more expressive for mammography and PSA tests. However, this inequality significantly decreased over the period analyzed comparing the most educated individuals with those with the lowest educational level. In addition, an increase in the proportion of tests performed in the Brazilian Unified Health System was identified, especially for mammography and PSA tests, in the period 2003‒2015. Conclusions: The inequalities observed in the access to preventive exams were influenced by the level of education. The offer of exams was expanded, more significantly for mammography and PSA, especially among the less educated group

    Use, access, and equity in health care services in São Paulo, Brazil

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    The study analyzed how socioeconomic factors are associated with seeking, access, use, and quality of health care services in São Paulo, Brazil. Data were obtained from two household health surveys in São Paulo. We used logistic regression to analyze associations between socioeconomic factors and seeking, access, use, and quality of health care services. Access to health care services was high among those who sought it (94.91% in 2003 and 94.98% in 2008). The proportion of access to and use of health care services did not change significantly from 2003 to 2008. Use of services in the public sector was more frequent in lower socioeconomic groups. There were some socioeconomic differences in seeking health care and resolution of health problems. The study showed almost universal access to health care services, but the results suggest problems in quality of services and differences in quality experienced by lower socioeconomic groups, who mostly use the Brazilian Unified National Health System (SUS)

    Use of and access to health services in Brazil, 2013 National Health Survey

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    OBJETIVO Descrever o uso de serviços de saúde na população brasileira segundo fatores sociodemográficos, de acordo com dados da Pesquisa Nacional de Saúde, 2013. MÉTODOS Foram analisados dados referentes a 205 mil brasileiros, de todas as faixas etárias, que participaram da Pesquisa Nacional de Saúde, estudo transversal conduzido em 2013. Calcularam-se as prevalências e seus intervalos de confiança para indicadores referentes ao acesso e a utilização dos serviços de saúde, segundo grupos de idade, nível de instrução do chefe da família e macrorregiões do país. RESULTADOS Dentre os indivíduos que procuraram o serviço de saúde nas duas semanas prévias à pesquisa, 95,3% (IC95% 94,9–95,8) conseguiu usá-lo na primeira vez que procurou. As proporções foram maiores: no grupo de 60 anos ou mais; cujo chefe da família tinha nível superior completo; e nas regiões Sul e Sudeste. Ainda, dos indivíduos atendidos e que tiveram medicamentos receitados, 82,5% (IC95% 81,2–83,7) conseguiram obter todos os medicamentos, sendo 1/3 pelo SUS. Menos da metade da população brasileira (44,4%; IC95% 43,8–45,1) consultou um dentista nos 12 meses anteriores à pesquisa, com proporções menores entre: indivíduos com 60 anos ou mais; cujo chefe da família não possuía nível de instrução ou tinha até o fundamental incompleto; e indivíduos que residiam na região Norte do país. CONCLUSÕES Pessoas que residem nas regiões Sul e Sudeste ainda possuem maior acesso aos serviços de saúde, bem como aquelas cujo chefe da família tem maior nível de instrução. A (re)formulação de políticas de saúde no intuito de reduzir disparidades deve considerar as diferenças regionais e entre níveis sociais encontradas.OBJECTIVE To analyze the use of health services in the Brazilian population by sociodemographic factors, according to data from the 2013 Brazilian National Health Survey. METHODS The study analyzed data from 205,000 Brazilian citizens in all age groups who participated in the Brazilian National Health Survey, a cross-sectional study carried out in 2013. Prevalence and confidence intervals were estimated for indicators related to access to and use of health services according to age group, level of education of head of household, and Brazilian macroregions. RESULTS Among individuals who sought health services in the two weeks prior to the survey, 95.3% (95%CI 94.9–95.8) received care in their first visit. Percentages were higher in the following groups: 60 years of age and over; head of household with complete tertiary education; living in the South and Southeast regions. In addition, 82.5% (95%CI 81.2–83.7) of individuals who received health care and prescriptions were able to obtain all the necessary medicines, 1/3 of them from SUS. Less than half the Brazilian population (44.4%; 95%CI 43.8–45.1) visited a dentist in the 12 months prior to the survey, with smaller percentages among the following groups: 60 years of age or older; head of household with no education or up to incomplete elementary; living in the North region of Brazil. CONCLUSIONS People living in the South and Southeast regions still have greater access to health services, as do those whose head of household has a higher level of education. The (re)formulation of health policies to reduce disparities should consider differences encountered between regions and social levels
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