Literature DB >> 31291437

Trend of incompleteness of vital statistics in the neonatal period, State of Rio de Janeiro, Brazil, 1999-2014.

Renata Rodrigues Garcia Lino1, Sandra Costa Fonseca1, Pauline Lorena Kale2, Patrícia Viana Guimarães Flores2, Rejane Sobrino Pinheiro2, Cláudia Medina Coeli2.   

Abstract

OBJECTIVE: to analyze the incompleteness of variables retrieved from the Live Birth Information System (SINASC) and the Mortality Information System (SIM), in the State of Rio de Janeiro, in the time series 1999 to 2014.
METHODS: this was a time series study of SINASC and SIM; the Romero & Cunha score was used to analyze incompleteness; Joinpoint regression was used to analyze temporal trend; in 2014, deaths were evaluated separately according to investigation.
RESULTS: regarding SINASC variables, in 1999 marital status (37.40%), number of stillborn children (31.30%), and race/skin color (24.63%) had the highest incompleteness percentages; in 2014, no variable exceeded 5% incompleteness, except occupation; regarding SIM variables, in 1999 five variables exceeded 20%, and missing data for previous stillborn children was over 60%; in 2014, only one variable exceeded 20% incompleteness; investigated deaths had better completeness.
CONCLUSION: both systems were found to have improved; the quality of SINASC completeness remained superior to that of SIM.

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Year:  2019        PMID: 31291437     DOI: 10.5123/S1679-49742019000200014

Source DB:  PubMed          Journal:  Epidemiol Serv Saude        ISSN: 1679-4974


  1 in total

1.  Record linkage under suboptimal conditions for data-intensive evaluation of primary care in Rio de Janeiro, Brazil.

Authors:  Claudia Medina Coeli; Valeria Saraceni; Paulo Mota Medeiros; Helena Pereira da Silva Santos; Luis Carlos Torres Guillen; Luís Guilherme Santos Buteri Alves; Thomas Hone; Christopher Millett; Anete Trajman; Betina Durovni
Journal:  BMC Med Inform Decis Mak       Date:  2021-06-15       Impact factor: 2.796

  1 in total

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