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Spatial distribution of Robson 10‐group classification system and poverty in southern and southeastern Brazil
Author(s) -
Brunherotti Marisa A.A.,
Prado Marli F.,
Martinez Edson Z.
Publication year - 2019
Publication title -
international journal of gynecology and obstetrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.895
H-Index - 97
eISSN - 1879-3479
pISSN - 0020-7292
DOI - 10.1002/ijgo.12831
Subject(s) - poverty , geography , demography , index (typography) , spatial distribution , distribution (mathematics) , socioeconomics , spatial analysis , cartography , sociology , economic growth , economics , mathematics , mathematical analysis , remote sensing , world wide web , computer science
Objective To assess the spatial distribution of the Robson 10‐group classification system ( TGCS ) and poverty in southeastern and southern regions of Brazil in 2016. Methods An ecologic study based on public data from the Brazilian Information System on Live Births and the Brazilian Institute of Geography and Statistics, including 1 519 289 (53.2%) of all live‐born neonates in Brazil between January and December 2016. Statistical analysis used Bayesian modelling with spatial distribution following an autoregressive conditional structure, and Moran index. Results In 2016, the percentage of live‐born neonates delivered by cesarean was 58.8% and 60.7% in the southeastern and southern regions, respectively. Robson groups 1 and 3, involving spontaneous labor, were related to regions with higher poverty (Moran index, 0.36 and 0.44, respectively), whereas groups 2 and 5, involving cesarean delivery, were related to poorer regions (Moran index, 0.56 and 0.45, respectively). Conclusion The frequencies of each group of the Robson TGCS were heterogeneously distributed in the geographic space owing to important associations with the proportion of poverty in the different regions. Actions are needed to develop the poorest regions in order to minimize existing disparities.