Cohort of live births from 2012 to 2020 in the municipality of Sao Paulo: identification of maternal, fetal, and newborn outcomes

Author:

Melo Tarcisio Cantos1,Corrêa Fernanda Ferreira1,Bonilha Eliana de Aquino1,Aly Célia Maria Castex1,Diniz Carmen Simone1

Affiliation:

1. University of Sao Paulo

Abstract

Abstract The population’s health care may generate a large volume of data concerning services provided, making more knowledge available and making it possible to guide managers with respect to actions regarding health care. Among the databases processed by the Unified Health System [ Sistema Único de Saúde – SUS], are the System of Information on Live Births [Sistema de Informações sobre Nascidos Vivos (SINASC)], the System of Hospital Data [Sistema de Informações Hospitalares (SIH)] of the Ministry of Health, the System of Information on Mortality [Sistema de Informações de Mortalidade (SIM)], and, in the Municipality of Sao Paulo, the Integrated System of Health Care Management of the Municipal Department of Health [Sistema Integrado de Gestão da Assistência à Saúde da Secretaria Municipal de Saúde (SIGA)]. The objective of this study is to describe a method of linkage between the databases SIGA, SINASC, SIH and SIM making it possible to identify pregnant women/parturients and their fetuses and newborns in all these records. Consequently, analysis of the procedures and interventions undertaken on a woman during pregnancy and birth, those undertaken on her baby during and soon after birth, as well as hospitalizations, including those which occurred after discharge from hospital are attained. This study is part of a research project entitled, “How can interventions during labor and its outcomes become more visible to the data systems?”. The linkage of data from the SIGA, SINASC, SIH and SIM databases underwent 5 phases: treatment of the SIGA base, linkage, validations, descriptions, and metrics calculation.

Publisher

Research Square Platform LLC

Reference8 articles.

1. Lima CP. Comparando a saúde no Brasil com os países da OCDE: explorando dados de saúde pública. 2016. Dissertação (Mestrado) – Escola de Matemática Aplicada, Fundação Getúlio Vargas, Rio de Janeiro, 2016. Disponível em:

2. Cherchiglia ML, et al. O uso de Sistemas de Informação do Sistema Único de Saúde (SUS) na análise de desfecho: limites e perspectivas. In: Nita ME, et al. editors. Avaliação de Tecnologias em Saúde: evidência clínica, análise econômica e análise de decisão. Porto Alegre: Artmed; 2010. pp. 124–5.

3. Dados do mundo real: uma ferramenta para tomada de decisões em saúde;Mussonilo MF;Jornal Brasileiro de Economia da Saúde,2013

4. Towards good practice for health statistics: lessons from the Millennium Development Goal health indicators;Murray CJ;Lancet,2007

5. Office of E-government and IT. Office of Management and Budget: Data.gov Concept of Operations Draft. Washington DC: Executive office of the President of the United States; 2009.

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