Maternal near-miss in labor and delivery in the light of technologies in health
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista da Escola de Enfermagem da USP (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0080-62342018000100493 |
Resumo: | ABSTRACT Objective: To know maternal near-miss situations during labor and delivery according to technologies in health. Method: A quantitative study conducted with puerperal women in a public institution in which the maternity department is a reference for high risk care. Data collection was performed from October 2016 to August 2017, and data were processed in SPSS 20.0. Technologies in health were used for discussing the results. Results: Participation of 319 puerperal women. Primiparous women (p=0.027), previous diagnosis of hypertension (p=0.0001), preeclampsia (p=0.0001) and urinary tract infection (p=0.002) were items with statistical significance for the maternal near-miss outcome in labor and delivery. The hard technology associated with the outcome was transportation for hospitalization (p=0.035). Among the light-hard technologies, the following were associated: characteristics of amniotic fluid (p=0.05), vital signs check (p=0.0001), and initiation of the partograph for cesarean section (p=0.026). Among the light technologies, user satisfaction was relevant (p=0.007). Conclusion: Health technologies can be used for structuring the assistance in order to prevent maternal near-miss. |
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Revista da Escola de Enfermagem da USP (Online) |
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Maternal near-miss in labor and delivery in the light of technologies in healthNear Miss, HealthcarePregnancy, High-RiskParturitionObstetric NursingTechnologyABSTRACT Objective: To know maternal near-miss situations during labor and delivery according to technologies in health. Method: A quantitative study conducted with puerperal women in a public institution in which the maternity department is a reference for high risk care. Data collection was performed from October 2016 to August 2017, and data were processed in SPSS 20.0. Technologies in health were used for discussing the results. Results: Participation of 319 puerperal women. Primiparous women (p=0.027), previous diagnosis of hypertension (p=0.0001), preeclampsia (p=0.0001) and urinary tract infection (p=0.002) were items with statistical significance for the maternal near-miss outcome in labor and delivery. The hard technology associated with the outcome was transportation for hospitalization (p=0.035). Among the light-hard technologies, the following were associated: characteristics of amniotic fluid (p=0.05), vital signs check (p=0.0001), and initiation of the partograph for cesarean section (p=0.026). Among the light technologies, user satisfaction was relevant (p=0.007). Conclusion: Health technologies can be used for structuring the assistance in order to prevent maternal near-miss.Universidade de São Paulo, Escola de Enfermagem2018-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0080-62342018000100493Revista da Escola de Enfermagem da USP v.52 2018reponame:Revista da Escola de Enfermagem da USP (Online)instname:Universidade de São Paulo (USP)instacron:USP10.1590/s1980-220x2017049603409info:eu-repo/semantics/openAccessSantos,Izabel Dayana de LemosMedeiros,Fabiana FontanaFerrari,Rosângela Aparecida PimentaSerafim,DeiseMaciel,Sandra MaraCardelli,Alexandrina Aparecida Macieleng2019-01-04T00:00:00Zoai:scielo:S0080-62342018000100493Revistahttp://www.scielo.br/reeuspPUBhttps://old.scielo.br/oai/scielo-oai.php||nursingscholar@usp.br1980-220X0080-6234opendoar:2019-01-04T00:00Revista da Escola de Enfermagem da USP (Online) - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Maternal near-miss in labor and delivery in the light of technologies in health |
title |
Maternal near-miss in labor and delivery in the light of technologies in health |
spellingShingle |
Maternal near-miss in labor and delivery in the light of technologies in health Santos,Izabel Dayana de Lemos Near Miss, Healthcare Pregnancy, High-Risk Parturition Obstetric Nursing Technology |
title_short |
Maternal near-miss in labor and delivery in the light of technologies in health |
title_full |
Maternal near-miss in labor and delivery in the light of technologies in health |
title_fullStr |
Maternal near-miss in labor and delivery in the light of technologies in health |
title_full_unstemmed |
Maternal near-miss in labor and delivery in the light of technologies in health |
title_sort |
Maternal near-miss in labor and delivery in the light of technologies in health |
author |
Santos,Izabel Dayana de Lemos |
author_facet |
Santos,Izabel Dayana de Lemos Medeiros,Fabiana Fontana Ferrari,Rosângela Aparecida Pimenta Serafim,Deise Maciel,Sandra Mara Cardelli,Alexandrina Aparecida Maciel |
author_role |
author |
author2 |
Medeiros,Fabiana Fontana Ferrari,Rosângela Aparecida Pimenta Serafim,Deise Maciel,Sandra Mara Cardelli,Alexandrina Aparecida Maciel |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Santos,Izabel Dayana de Lemos Medeiros,Fabiana Fontana Ferrari,Rosângela Aparecida Pimenta Serafim,Deise Maciel,Sandra Mara Cardelli,Alexandrina Aparecida Maciel |
dc.subject.por.fl_str_mv |
Near Miss, Healthcare Pregnancy, High-Risk Parturition Obstetric Nursing Technology |
topic |
Near Miss, Healthcare Pregnancy, High-Risk Parturition Obstetric Nursing Technology |
description |
ABSTRACT Objective: To know maternal near-miss situations during labor and delivery according to technologies in health. Method: A quantitative study conducted with puerperal women in a public institution in which the maternity department is a reference for high risk care. Data collection was performed from October 2016 to August 2017, and data were processed in SPSS 20.0. Technologies in health were used for discussing the results. Results: Participation of 319 puerperal women. Primiparous women (p=0.027), previous diagnosis of hypertension (p=0.0001), preeclampsia (p=0.0001) and urinary tract infection (p=0.002) were items with statistical significance for the maternal near-miss outcome in labor and delivery. The hard technology associated with the outcome was transportation for hospitalization (p=0.035). Among the light-hard technologies, the following were associated: characteristics of amniotic fluid (p=0.05), vital signs check (p=0.0001), and initiation of the partograph for cesarean section (p=0.026). Among the light technologies, user satisfaction was relevant (p=0.007). Conclusion: Health technologies can be used for structuring the assistance in order to prevent maternal near-miss. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0080-62342018000100493 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0080-62342018000100493 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/s1980-220x2017049603409 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Universidade de São Paulo, Escola de Enfermagem |
publisher.none.fl_str_mv |
Universidade de São Paulo, Escola de Enfermagem |
dc.source.none.fl_str_mv |
Revista da Escola de Enfermagem da USP v.52 2018 reponame:Revista da Escola de Enfermagem da USP (Online) instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Revista da Escola de Enfermagem da USP (Online) |
collection |
Revista da Escola de Enfermagem da USP (Online) |
repository.name.fl_str_mv |
Revista da Escola de Enfermagem da USP (Online) - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
||nursingscholar@usp.br |
_version_ |
1748936539696529408 |