Literature DB >> 31596402

[Evaluation of data from the Brazilian Information System on Live Births (SINASC)].

Célia Landmann Szwarcwald1, Maria do Carmo Leal2, Ana Paula Esteves-Pereira2, Wanessa da Silva de Almeida1, Paulo Germano de Frias3, Giseli Nogueira Damacena1, Paulo Roberto Borges de Souza Júnior1, Narayani Martins Rocha1, Priscila Melissa Honorato Mullachery4.   

Abstract

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.

Mesh:

Year:  2019        PMID: 31596402     DOI: 10.1590/0102-311X00214918

Source DB:  PubMed          Journal:  Cad Saude Publica        ISSN: 0102-311X            Impact factor:   1.632


  6 in total

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Authors:  Enny S Paixao; Christian Bottomley; Liam Smeeth; Maria Conceicao N da Costa; Maria Gloria Teixeira; Maria Yury Ichihara; Ligia Gabrielli; Mauricio L Barreto; Oona M R Campbell
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Review 3.  Mortality inequalities measured by socioeconomic indicators in Brazil: a scoping review.

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Journal:  Rev Saude Publica       Date:  2022-10-10       Impact factor: 2.772

4.  Factors associated with low birth weight at term: a population-based linkage study of the 100 million Brazilian cohort.

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Journal:  BMC Pregnancy Childbirth       Date:  2020-09-14       Impact factor: 3.007

5.  Brazilian Maternal and Child Nutrition Consortium: establishment, data harmonization and basic characteristics.

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6.  Data Sources for Drug Utilization Research in Brazil-DUR-BRA Study.

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  6 in total

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