The objective of this study was to analyze admissions in the hospital health care system in Brazil in the year of 2006, starting from the admitted subjects. The initial data were the admissions SUS (SIH), non-SUS (CIH) in 2006 and 2007. The identification of the individual was by probabilistic method of associations of registrations (linkage) and, for the composition of the admission data, specific algorithms were applied to the data. A total of 12,391,990 admissions with at least one day in hospital in the year of 2006 were analyzed. The imprecise nature of the probabilistic method at a certain degree, the adoption of conservative parameters in order to avoid the inclusion of false positive, and the subnotification of CIH represent possible limitations of this study. The Hospital Services System in Brazil presented admission rate of 5.6% in total, 5.0% SUS and 1.6% non-SUS, with differences according to age and region. The non-SUS admissions data collected by CIH give important additional information to the analysis of the hospital utilization in the country. The SUS administrative data are valid for analyses of admissions and the algorithms for admission data composition enhance the analysis of the Hospital Services System in Brazil.
Padrão de qualidade de um sistema de informaçãoA utilização de sistemas de informações enquanto instrumento de definição do perfil epidemiológico, ações de planejamento e avaliação de serviço, passa primeiramente pela avaliação da qualidade dos dados e informações geradas.Para garantir a confiabilidade de sua utilização nos processos de decisão o Centro de Informações de Saúde, vem pesquisando a qualidade dos dados e sistematizando rotinas que permitam identificar o grau de alcance dos objetivos estabelecidos para cada sistema e acompanhando o grau de entendimento do conceito de suas variáveis. Como exemplo, citamos o trabalho, em cooperação técnica com a Fundação SEADE, relativo a coleta do dado diagnóstico do sistema AIH.Parece-nos claro que a questão da qualidade da informação está intrinsecamente vinculada à sua utilização na gestão do Sistema de Saúde. O avanço dos recursos de informática tem permitido avaliação da coleta de dados e o retorno das informações em tempo hábil às tomadas de decisões.A expectativa de que as informações só podem ser utilizadas após a devolução pelos órgãos estaduais ou nacionais, tem diminuído com a descentralização da gestão do Sistema de Saúde. Os sistemas de informação tem sido moldados para serem tratados no nível local verificando-se o aumento de sua utilização enquanto instrumento de reorganização e definição das ações de saúde.
OBJECTIVE To describe the migration flows of demand for public and private hospital care among the health regions of the state of Sao Paulo, Brazil.METHODS Study based on a database of hospitalizations in the public and private systems of the state of Sao Paulo, Southeastern Brazil, in 2006. We analyzed data from 17 health regions of the state, considering people hospitalized in their own health region and those who migrated outwards (emigration) or came from other regions (immigration). The index of migration effectiveness of patients from both systems was estimated. The coverage (hospitalization coefficient) was analyzed in relation to the number of inpatient beds per population and the indexes of migration effectiveness.RESULTS The index of migration effectiveness applied to the hospital care demand flow allowed characterizing health regions with flow balance, with high emigration of public and private patients, and with high attraction of public and private patients.CONCLUSIONS There are differences in hospital care access and opportunities among health regions in the state of Sao Paulo, Brazil.
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