2019
DOI: 10.1590/1806-93042019000100007
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Temporal trends of maternal near miss in Brazil between 2000 and 2012

Abstract: Objectives: to identify the temporal trends and regional variations in maternal near miss in Brazil. Methods: ecological study of temporal trends. The units of analysis are in the States, the regions and Brazil, between 2000 and 2012, the dependent variable being the maternal near miss rate (MNMR), calculated from the records of the Sistema de Informações Hospitalares do Sistema Único de Saúde (SIH-SUS) (National Health Hospital Information System).Regression analysis using Joinpoint regression software, vers… Show more

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Cited by 6 publications
(3 citation statements)
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“…12 When taking into account the average rates of SAMM in Brazil during the period between 2010 and 2018, there is a risk rate of 5.89 near-miss cases per every 100 deliveries, which is higher than those of other studies that also used the HIS/SUS database. [2][3][4][5][6][7][8][9][10][11][12][13] In the population-based study of Sousa et al in 2008, 14 they analyzed different Brazilian capitals and macroregions and found a rate of 44.3/1,000 live births.…”
Section: Discussionmentioning
confidence: 99%
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“…12 When taking into account the average rates of SAMM in Brazil during the period between 2010 and 2018, there is a risk rate of 5.89 near-miss cases per every 100 deliveries, which is higher than those of other studies that also used the HIS/SUS database. [2][3][4][5][6][7][8][9][10][11][12][13] In the population-based study of Sousa et al in 2008, 14 they analyzed different Brazilian capitals and macroregions and found a rate of 44.3/1,000 live births.…”
Section: Discussionmentioning
confidence: 99%
“…16 In a broad sense, even with the improvement of the indicators of maternal and child health care verified in several studies, socioeconomic and health-care differences are still prevalent in the North and the Northeast, which might explain the possible negative association between the highest risk rates and the lowest indexes of obstetric care verified in these regions. [9][10][11][12][13][14][15][16][17][18][19][20] Moreover, the North region presented a relative risk of hemorrhage two times higher and a 33% higher risk of of infection than the region with the lowest rates. This context suggests challenges in the access of pregnant women to health care units and specialized treatment, and fits the Three Delays Model of Thaddeus and Maine, 21 in which patients delay the search for assistance due to sociocultural reasons, are not able to access obstetric care, and when they manage to do it, they have to wait for a long time to receive treatment.…”
Section: Discussionmentioning
confidence: 99%
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