2015
DOI: 10.1111/1471-0528.13614
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Network for Surveillance of Severe Maternal Morbidity: a powerful national collaboration generating data on maternal health outcomes and care

Abstract: Objective To identify cases of severe maternal morbidity (SMM) during pregnancy and childbirth, their characteristics, and to test the feasibility of scaling up World Health Organization criteria for identifying women at risk of a worse outcome.Design Multicentre cross-sectional study.Setting Twenty-seven referral maternity hospitals from all regions of Brazil.Population Cases of SMM identified among 82 388 delivering women over a 1-year period.Methods Prospective surveillance using the World Health Organizati… Show more

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Cited by 66 publications
(107 citation statements)
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“…35 There was also a similarity between the causes of MNM and those of maternal death in Brazil. Direct obstetric causes still prevail, but indirect ones are increasing.…”
Section: Discussionmentioning
confidence: 88%
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“…35 There was also a similarity between the causes of MNM and those of maternal death in Brazil. Direct obstetric causes still prevail, but indirect ones are increasing.…”
Section: Discussionmentioning
confidence: 88%
“…35 Several articles originated from this population data, although there were no comparative studies among these 9,555 women and those who had their childbirths in the 27 units, however presenting no complications. The aspects that differ from the methodology of the study are shown in Table 2, along with each of the 13 articles.…”
Section: National Hospital Based Studiesmentioning
confidence: 99%
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“…From the information given it is difficult to assess the overall numbers that should be expected. One of the criticisms of this paper is the lack of denominator data which means that many assumptions are based on data from other populations: for example the authors’ estimates of morbidity are based on Brazilian data [11]. The prevalence of medical co-morbidities among Israeli parturients would illuminate the data provided.…”
Section: Main Textmentioning
confidence: 99%