Morbidade materna grave identificada no Sistema de Informações Hospitalares do Sistema Único de Saúde, no estado do Paraná, 2010*

Silva, Thaise Castanho da; Varela, Patrícia Louise Rodrigues; Oliveira, Rosana Rosseto de; Mathias, Thaís Aidar de Freitas

doi:10.5123/s1679-49742016000300017

Cited by 8 publications

(14 citation statements)

References 14 publications

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“…59 However, Magalhães et al 57 used the SIH as a source and WHO criteria in their study, and evaluated the results found as satisfactory. Silva et al 56 supports the use of Waterstone's criteria for studies with SIH to increase sensitivity.…”

Section: Discussionmentioning

confidence: 97%

“…Limitations for the WHO near miss criteria in case of using the SIH-SUS as a data source: difficulty in correlating these criteria with diagnoses of ICD-10 and with procedures codes adopted by SIH-SUS 56 and low sensitivity. 59 However, Magalhães et al 57 used the SIH as a source and WHO criteria in their study, and evaluated the results found as satisfactory.…”

Section: Discussionmentioning

confidence: 99%

“…54 Regarding the criteria, three [54][55][56] used Waterstone and Mantel's criteria, [54][55][56] and two 57,58 used the WHO criteria with some adaptations. Women with a history of gestation, delivery and puerperium, women diagnosed with severe maternal morbidity, and women hospitalized for obstetric procedures were included.…”

Section: Information Systems Based Studiesmentioning

confidence: 99%

“…56 Nakamura-Pereira et al 58 evaluated the information quality of the Sistema de Informações Hospitalares do Sistema Único de Saúde (SIH-SUS) (Hospital Information System of the Public Health Service) for the study on severe maternal morbidity and estimated low sensitivity (18.5%) with high specificity (94.3%).…”

Section: Information Systems Based Studiesmentioning

confidence: 99%

See 3 more Smart Citations

Concepts, prevalence and characteristics of severe maternal morbidity and near miss in Brazil: a systematic review

Silva

Fonseca

Dias

et al. 2018

Rev. Bras. Saude Mater. Infant.

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Section: Discussionmentioning

confidence: 97%

Section: Discussionmentioning

confidence: 99%

Section: Information Systems Based Studiesmentioning

confidence: 99%

Section: Information Systems Based Studiesmentioning

confidence: 99%

See 2 more Smart Citations

Concepts, prevalence and characteristics of severe maternal morbidity and near miss in Brazil: a systematic review

Silva

Fonseca

Dias

et al. 2018

Rev. Bras. Saude Mater. Infant.

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“…As principais causas de Mortalidade Materna no Brasil registradas são: hipertensão, hemorragias, infecções pós-parto e abortos (18) . De acordo com dados oficiais, o Brasil se encontra com altos índices de Mortalidade Materna, estes números vão de 50 a 149 por 100.000 nascidos.…”

Section: As Principais Consequências Da Mortalidade Maternaunclassified

Análise da mortalidade materna como indicador de gestão do enfermeiro na atenção primária í saúde

Silva¹,

Silva²,

Barros³

et al. 2020

SaudColetiv (Barueri)

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Objetivo Refletir acerca dos fatores que contribuem para a mortalidade materna. Metodologia: Tipo descritiva, com abordagem quantitativa e para análise dos dados, foram consultados o Sistema de Informação sobre Mortalidade (SIM), o Módulo de Investigação do SIM e o Sistema de Informação sobre Nascidos Vivos (SINASC) do DATASUS. (SIM), Ciências da Saúde (LILACS). O estudo revelou que a Razão de Mortalidade Materna (RMM) no Rio de Janeiro apresentou uma ascendência no ano de 2017 e que a mortalidade continua sendo um aspecto preocupante onde a mesma atinge os países em desenvolvimento, em mulheres de classe econômica menos favorecida. Observa-se a necessidade de assistência pré-natal adequada, equipe multiprofissional qualificada, medidas para impedir a gravidez indesejada, melhora no sistema de referência e contra referência e equidade no atendimento as gestantes.

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Temporal Trend of Near Miss and its Regional Variations in Brazil from 2010 to 2018

Herdt

Magajewski

Linzmeyer

et al. 2021

Rev Bras Ginecol Obstet

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Cases of maternal near miss are those in which women survive severe maternal complications during pregnancy or the puerperium. This ecological study aimed to identify the temporal trend of near-miss cases in different regions of Brazil between 2010 and 2018, using data from the Hospital Information System (HIS) of the Unified Brazilian Health System (SUS, in the Portuguese acronym). Hospital admission records of women between 10 and 49 years old with diagnosis included in the 10th Revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10) and codes indicating near-miss events were selected. From 20,891,040 admissions due to obstetric causes, 766,249 (3.66%) near-miss cases were identified, and 31,475 women needed admission to the intensive care unit (ICU). The cases were found to be more predominant in black women over 35 years old from the North and Northeast regions. There was a trend of increase in near-miss rates of ∼ 13.5% a year during the period of the study. The trend presented a different behavior depending on the level of development of the region studied. The main causes of near miss were preeclampsia (47%), hemorrhage (24%), and sepsis (18%).

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Morbidade materna grave identificada no Sistema de Informações Hospitalares do Sistema Único de Saúde, no estado do Paraná, 2010*

Abstract: the results indicate the need to pay greater attention to women aged 35 and over since they had higher rates of near miss.

Cited by 8 publications

References 14 publications

Concepts, prevalence and characteristics of severe maternal morbidity and near miss in Brazil: a systematic review

Concepts, prevalence and characteristics of severe maternal morbidity and near miss in Brazil: a systematic review

Análise da mortalidade materna como indicador de gestão do enfermeiro na atenção primária í saúde

Temporal Trend of Near Miss and its Regional Variations in Brazil from 2010 to 2018

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