[Evaluation of data from the Brazilian Information System on Live Births (SINASC)].
Celia Szwarcwald LandmannMaria do Carmo LealAna Paula Esteves PereiraWanessa da Silva de AlmeidaPaulo Germano de FriasGiseli Nogueira DamacenaPaulo Roberto Borges de Souza-JuniorNarayani Martins RochaPriscila Melissa Honorato MullacheryPublished in: Cadernos de saude publica (2019)
This study is a quantitative and qualitative assessment of data from the Brazilian Information System on Live Births (SINASC) in Brazil. Coverage of the data by municipality was estimated as the ratio between reported and estimated live births. Data quality in the SINASC was assessed via probabilistic linkage with the database from the Birth in Brazil study, 2011-2012, and kappa coefficients of agreement were calculated. In 2013, data coverage was high and homogeneous in all states of Brazil. However, the analysis according to municipalities (counties) showed greater spatial heterogeneity. As for completeness of information in SINASC, kappa coefficients were statistically different from zero for all the tested variables (p < 0.001), and marginal distributions of all the variables were similar in the two databases. Gestational age was the variable with the worst agreement, with a kappa value of 0.461. The indicator that describes the inconsistencies, measured by the sum of the square of the differences between the reported and expected prematurity rates by birthweight bracket, showed the highest value in the North of Brazil and the lowest in the South, pointing to geographic inequalities in measurement of gestational age.
Keyphrases
- gestational age
- birth weight
- preterm birth
- electronic health record
- big data
- nuclear factor
- healthcare
- emergency department
- gene expression
- preterm infants
- machine learning
- genome wide
- low birth weight
- body mass index
- physical activity
- affordable care act
- inflammatory response
- high resolution
- social media
- health insurance
- monte carlo
- weight gain