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ORIGINAL ARTICLE • Epidemiol. Serv. Saúde 28 (2) • June 2019 • https://doi.org/10.5123/S1679-49742019000200014   copy

Trend of incompleteness of vital statistics in the neonatal period, State of Rio de Janeiro, Brazil, 1999-2014* * This article is derived from the Master’s Degree dissertation by Renata Rodrigues Garcia Lino, entitled ‘Temporal analysis of information system (SINASC and SIM) completeness: live births and neonatal deaths in the State of Rio de Janeiro, 1999-2014’, defended at the Public Health Postgraduate Program, Institute of Public Health, Universidade Federal Fluminense, in February 2018. It is one of the elements of the research project entitled ‘Integrated Health Records: application of the chain link model in women’s and children’s health studies’, funded by the National Council for Scientific and Technological Development/ Ministry of Science, Technology, Innovation and Communications (CNPq: 447199/2014-5) and by the Rio de Janeiro State Research Support Foundation (FAPERJ: E-26/203.195/2015). Cláudia Medina Coeli is a CNPq Productivity fellow (305545/2015-9).

Authorship SCIMAGO INSTITUTIONS RANKINGS

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.

Keywords:
Vital Statistics; Live Birth; Health Information Systems; Time Series Studies

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