Romero Dalia E, Cunha Cynthia Braga da
Centro de Informação Científica e Tecnológica, Fundação Oswaldo Cruz, Avenida Brazil 4365, Rio de Janeiro, RJ 21045-900, Brazil.
Cad Saude Publica. 2007 Mar;23(3):701-14. doi: 10.1590/s0102-311x2007000300028.
This study evaluates the quality of data in the Brazilian Live Births Information System (SINASC), focusing on the methodological clarity of documentation and adequate data completeness and consistency at the national, regional, and State levels in 2002. The variables analyzed were: skin color/race of newborn, maternal schooling, maternal marital status, maternal occupation, maternal age, prenatal visits, live births, stillbirths, and birth weight. For most of the variables, SINASC shows good data completeness and consistency, but there were serious problems with the quality of data on previous children and maternal occupation. Related to race, there were some methodological problems in the definition and incomplete filling-in for the Federal District (Brasília) and the States of São Paulo, Bahia, and Sergipe. Statistical analysis confirmed a significant association between data completeness and indicators of poverty and inequality. The study showed that improvements in SINASC data quality could make this system a good epidemiological source for identifying risk factors and socioeconomic conditioning factors.
本研究评估了巴西活产信息系统（SINASC）中的数据质量，重点关注2002年国家、地区和州层面文件记录的方法清晰度以及数据的充分完整性和一致性。分析的变量包括：新生儿的肤色/种族、母亲受教育程度、母亲婚姻状况、母亲职业、母亲年龄、产前检查、活产、死产和出生体重。对于大多数变量，SINASC显示出良好的数据完整性和一致性，但以前子女和母亲职业的数据质量存在严重问题。关于种族，联邦区（巴西利亚）以及圣保罗州、巴伊亚州和塞尔希培州在定义和填写不完整方面存在一些方法问题。统计分析证实数据完整性与贫困和不平等指标之间存在显著关联。该研究表明，SINASC数据质量的提高可使该系统成为识别风险因素和社会经济制约因素的良好流行病学来源。
