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Analysis of the application of a deterministic routine for identifying multiple pregnancies on SINASC, Brazil.

Authors: Fernanda Pinheiro, Aguiar; Patrícia Viana Guimarães, Flores; Luis Carlos Torres, Guillen; Helena Pereira da Silva, Santos; Luís Guilherme Santos Buteri, Alves; Kenneth Rochel de, Camargo; Rejane Sobrino, Pinheiro; +1 Authors

Analysis of the application of a deterministic routine for identifying multiple pregnancies on SINASC, Brazil.

Abstract

to evaluate the application of a deterministic routine for identifying multiple pregnancies on the Brazilian Live Birth Information System (SINASC).SINASC data deduplication and linkage with the mortality database (fetal deaths) for Rio de Janeiro state for the period 2007-2008; we used a deterministic routine, using a key based on SINASC maternal and birth information, complemented by manual review.of the 433,874 SINASC records, 9,036 (2.1%) were classified as multiple pregnancy newborns; after implementing the routine, we reclassified 385 records as twins, and 286 as singletons; accuracy of multiple pregnancy information on the SINASC database was high (sensitivity=95.8%; specificity=99.9%); applying the routine without the manual review process increased sensitivity by 4.2%, with no significant change of specificity.despite the accuracy of information regarding multiple pregnancy held on SINASC, we suggest the use of this routine as an option for improving classification of twins.

Keywords

Databases, Factual, Pregnancy, Pregnancy, Twin, Humans, Female, Pregnancy, Multiple, Live Birth, Brazil, Data Accuracy, Information Systems

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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