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Prevalence and factors associated with Maternal Near Misses: a survey of the population in a capital city of the Brazilian Northeast

Overview of attention for article published in Ciência & Saúde Coletiva, April 2015
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Title
Prevalence and factors associated with Maternal Near Misses: a survey of the population in a capital city of the Brazilian Northeast
Published in
Ciência & Saúde Coletiva, April 2015
DOI 10.1590/1413-81232015204.09052014
Pubmed ID
Authors

Tatyana Maria Silva de Souza Rosendo, Angelo Giuseppe Roncalli

Abstract

The scope of this study was to determine the prevalence of near misses and complications during pregnancy and the puerperal period, identifying the main clinical and intervention markers and socioeconomic and demographic factors associated with near misses. It involved a cross-sectional, population-based and probabilistic study with multi-stage complex sampling design conducted in Natal, State of Rio Grande do Norte, Brazil. A validated questionnaire was given to 848 women aged 15 to 49 identified in 8,227 households in 60 census sectors. In theanalysis of associations, the Chi-square test applied and calculated the prevalence ratio (PR) with Confidence Interval (CI) of 95% and 5% significance. The prevalence of maternal near misses was 41.1/1000LB, with hospitalization in an Intensive Care Unit (19.1/1000LB) and eclampsia (13.5/1000LB) being the most important markers. The prevalence of complications during pregnancy and the puerperal period was 21.2%. The highest prevalence of near misses was observed in older women, of black/brown race and low socioeconomic status. Conducting population surveys is feasible and may add important information to the study of near misses and the markers highlight the need for enhancing maternal care to reduce health inequality.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 16%
Researcher 4 13%
Student > Doctoral Student 3 9%
Student > Postgraduate 3 9%
Student > Master 3 9%
Other 1 3%
Unknown 13 41%
Readers by discipline Count As %
Medicine and Dentistry 11 34%
Nursing and Health Professions 2 6%
Social Sciences 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Unknown 17 53%