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RESEARCH NOTE • Epidemiol. Serv. Saúde 29 (2) • 2020 • https://doi.org/10.5123/S1679-49742020000200001   copy

Analysis of the application of a deterministic routine for identifying multiple pregnancies on SINASC, Brazil* * Article derived from the Ph.D. dissertation by Fernanda Pinheiro Aguiar entitled ‘Maternal age and schooling at birth and infant mortality’, defended at the Federal University of Rio de Janeiro Institute of Public Health Studies/Public Health Postgraduate Program (IESC/UFRJ), on May 22nd 2018.The authors receive research scholarships from the National Scientific and Technological Development Council/Ministry of Science, Technology, Innovation and Communications (CNPq/MCTIC) (Cláudia Medina Coeli, Process No. 447199/2014-5 and Process No. 305545/2015-9; Rejane Sobrino Pinheiro, Process No. 309728/2012-6; and Kenneth Rochel de Camargo Jr., Process No. 300686/2013-7) and from the Rio de Janeiro State Research Support Foundation (FAPERJ) (Cláudia Medina Coeli, Process No. E-26/203.195/2015; and Kenneth Rochel de Camargo Jr., Process No. E-26/102.900/2012), FAPERJ Scientific Initiation scholarship (Helena Pereira da Silva Santos, Process No. E-26/202.575/2016; and Luís Guilherme Santos Buteri Alves, Process No. E-26/219.275/2016) FAPERJ ‘Nota DEZ’ Ph.D. scholarship (Fernanda Pinheiro Aguiar, Process No. E-26/400.418/2016).

Authorship SCIMAGO INSTITUTIONS RANKINGS

Abstract

Objective:

to evaluate the application of a deterministic routine for identifying multiple pregnancies on the Brazilian Live Birth Information System (SINASC).

Methods:

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.

Results:

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.

Conclusion:

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:
Health Information Systems; Systems Integration; Health Evaluation; Pregnancy, Multiple

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