Trend of incompleteness of the Robson Classification variables in the Live Birth Information (SINASC) in the state of Paraná, Brazil, 2014-2020
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Published on: July 29, 2020
Larissa Pereira Falavina1, Elizabeth Fujimori1, Maicon Henrique Lentsck2
1Universidade de São Paulo, Programa de Pós-Graduação em Enfermagem, São Paulo, SP, Brazil.
Objective:
To assess the incompleteness of the Robson Classification variables in the Live Birth Information System (Sistema de Informação sobre Nascidos Vivos - SINASC), in the state of Paraná, and its trend, 2014-2020.
Methods:
This was a time-series study that analyzed six variables, according to health macro-regions. Incompleteness was classified (percentage of "ignored" and "blank fields") as follows: excellent (< 1.0%); good (1.0-2.9%); regular (3.0-6.9%); poor (≥ 7.0%). Prais-Winsten regression was used to estimate trends.
Results:
A total of 1,089,116 births were evaluated. The variable "cesarean section before the onset of labor" was classified as poor in 2014 (39.4%) and 2015 (44.3%) in the state and in all macro-regions, but with a decreasing trend in incompleteness. The variables "gestational age" in the North and Northwest macro-regions, and "parity" and "number of fetuses" in the Northwest macro-region showed an increasing trend.
Conclusion:
Most of the variables evaluated showed low percentages of incompleteness with a decreasing trend, but there is a need to improve the completion of some variables.
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