Early assessment systems in the identification of maternal diseases: systematic review

Detalhes bibliográficos
Autor(a) principal: Galvao, Jarbas
Data de Publicação: 2018
Outros Autores: Silva, Jean Carl
Tipo de documento: Artigo
Idioma: por
Título da fonte: Saúde e Pesquisa (Online)
DOI: 10.17765/1983-1870.2017v10n3p587-596
Texto Completo: https://periodicos.unicesumar.edu.br/index.php/saudpesq/article/view/5856
Resumo: Early assessment systems applied to pregnant women, describing vital parameters, similarities/differences, and the efficaciousness of such tools, are analyzed. Systematic review was based on databases MEDLINE, SciELO, LILACS, BIREME and PubMed, with 191 scientific articles. The articles without the theme as focus were excluded and only 16 papers were analyzed. Results showed four evaluation tools applied to patients to predict physiological deterioration, namely, EWS, NEWS, MEWS, MEOWS. The tools had relevant positive points, such as indicators of care management, hospital and social costs, even though further studies were needed for better evaluation. MEOWS is the best tool for maternal conditions, albeit non-validated, and should be adapted to physiological changes related to different diseases. Further studies on this tool should be undertaken to improve its specificity and make it more reliable as a near miss predictor.
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spelling Early assessment systems in the identification of maternal diseases: systematic reviewSistemas de avaliação precoce na identificação de morbidades maternas: revisão sistemáticaMaternal mortalityMorbidityEarly alert systemComplications in pregnancyNear missMortalidade maternaMorbidadeSistema de alerta precoceComplicações na gravidezNear MissMortalidade MaternaMorbidadeSistema de Alerta PrecoceComplicações na GravidezNear Miss.Early assessment systems applied to pregnant women, describing vital parameters, similarities/differences, and the efficaciousness of such tools, are analyzed. Systematic review was based on databases MEDLINE, SciELO, LILACS, BIREME and PubMed, with 191 scientific articles. The articles without the theme as focus were excluded and only 16 papers were analyzed. Results showed four evaluation tools applied to patients to predict physiological deterioration, namely, EWS, NEWS, MEWS, MEOWS. The tools had relevant positive points, such as indicators of care management, hospital and social costs, even though further studies were needed for better evaluation. MEOWS is the best tool for maternal conditions, albeit non-validated, and should be adapted to physiological changes related to different diseases. Further studies on this tool should be undertaken to improve its specificity and make it more reliable as a near miss predictor.O objetivo desse trabalho foi identificar, por meio de uma revisão sistemática, os sistemas de avaliação precoce existentes que são aplicados às gestantes, descrevendo os parâmetros vitais utilizados, as semelhanças\diferenças, bem como a efetividade desses instrumentos. Trata-se de um estudo de revisão sistemática, cujas pesquisas foram realizadas utilizando as bases de dados MEDLINE, SciELO, LILACS, BIREME e PubMed sendo encontrados 191 artigos. Excluíram-se os artigos que não tinham como foco o estudo, restando 16 artigos. Os resultados encontrados foram quatro instrumentos de avaliação aplicadas em pacientes para predizer deterioração fisiológica, sendo eles: EWS, NEWS, MEWS, MEOWS. Os instrumentos apresentaram pontos positivos relevantes, como indicadores do gerenciamento do cuidado, de custo hospitalar e social, porém, recomendando-se mais estudos para refinamento. O MEOWS é a ferramenta mais apropriada às condições maternas, não validada, e que necessita de adaptação às alterações fisiológicas relacionadas às diferentes morbidades. Sugere-se aumentar o corpo de estudos sobre este instrumento a fim de melhorar a sua especificidade, tornando-a uma ferramenta mais ajustada e confiável como preditora de near miss.Universidade Cesumar - UniCesumar2018-02-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionRevisão integrativa.application/pdfhttps://periodicos.unicesumar.edu.br/index.php/saudpesq/article/view/585610.17765/1983-1870.2017v10n3p587-596Saúde e Pesquisa; Vol 10 No 3 (2017): set./dez.; 587-596Saúde e Pesquisa; v. 10 n. 3 (2017): set./dez.; 587-5962176-9206reponame:Saúde e Pesquisa (Online)instname:Cesumar Diretoria de Pesquisainstacron:CESUMARporhttps://periodicos.unicesumar.edu.br/index.php/saudpesq/article/view/5856/3142Galvao, JarbasSilva, Jean Carlinfo:eu-repo/semantics/openAccess2022-07-01T14:02:15Zoai:ojs.pkp.sfu.ca:article/5856Revistahttps://periodicos.unicesumar.edu.br/index.php/saudpesqPUBhttps://periodicos.unicesumar.edu.br/index.php/saudpesq/oainaep@cesumar.br2176-92061983-1870opendoar:2022-07-01T14:02:15Saúde e Pesquisa (Online) - Cesumar Diretoria de Pesquisafalse
dc.title.none.fl_str_mv Early assessment systems in the identification of maternal diseases: systematic review
Sistemas de avaliação precoce na identificação de morbidades maternas: revisão sistemática
title Early assessment systems in the identification of maternal diseases: systematic review
spellingShingle Early assessment systems in the identification of maternal diseases: systematic review
Early assessment systems in the identification of maternal diseases: systematic review
Galvao, Jarbas
Maternal mortality
Morbidity
Early alert system
Complications in pregnancy
Near miss
Mortalidade materna
Morbidade
Sistema de alerta precoce
Complicações na gravidez
Near Miss
Mortalidade Materna
Morbidade
Sistema de Alerta Precoce
Complicações na Gravidez
Near Miss.
Galvao, Jarbas
Maternal mortality
Morbidity
Early alert system
Complications in pregnancy
Near miss
Mortalidade materna
Morbidade
Sistema de alerta precoce
Complicações na gravidez
Near Miss
Mortalidade Materna
Morbidade
Sistema de Alerta Precoce
Complicações na Gravidez
Near Miss.
title_short Early assessment systems in the identification of maternal diseases: systematic review
title_full Early assessment systems in the identification of maternal diseases: systematic review
title_fullStr Early assessment systems in the identification of maternal diseases: systematic review
Early assessment systems in the identification of maternal diseases: systematic review
title_full_unstemmed Early assessment systems in the identification of maternal diseases: systematic review
Early assessment systems in the identification of maternal diseases: systematic review
title_sort Early assessment systems in the identification of maternal diseases: systematic review
author Galvao, Jarbas
author_facet Galvao, Jarbas
Galvao, Jarbas
Silva, Jean Carl
Silva, Jean Carl
author_role author
author2 Silva, Jean Carl
author2_role author
dc.contributor.author.fl_str_mv Galvao, Jarbas
Silva, Jean Carl
dc.subject.por.fl_str_mv Maternal mortality
Morbidity
Early alert system
Complications in pregnancy
Near miss
Mortalidade materna
Morbidade
Sistema de alerta precoce
Complicações na gravidez
Near Miss
Mortalidade Materna
Morbidade
Sistema de Alerta Precoce
Complicações na Gravidez
Near Miss.
topic Maternal mortality
Morbidity
Early alert system
Complications in pregnancy
Near miss
Mortalidade materna
Morbidade
Sistema de alerta precoce
Complicações na gravidez
Near Miss
Mortalidade Materna
Morbidade
Sistema de Alerta Precoce
Complicações na Gravidez
Near Miss.
description Early assessment systems applied to pregnant women, describing vital parameters, similarities/differences, and the efficaciousness of such tools, are analyzed. Systematic review was based on databases MEDLINE, SciELO, LILACS, BIREME and PubMed, with 191 scientific articles. The articles without the theme as focus were excluded and only 16 papers were analyzed. Results showed four evaluation tools applied to patients to predict physiological deterioration, namely, EWS, NEWS, MEWS, MEOWS. The tools had relevant positive points, such as indicators of care management, hospital and social costs, even though further studies were needed for better evaluation. MEOWS is the best tool for maternal conditions, albeit non-validated, and should be adapted to physiological changes related to different diseases. Further studies on this tool should be undertaken to improve its specificity and make it more reliable as a near miss predictor.
publishDate 2018
dc.date.none.fl_str_mv 2018-02-12
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Revisão integrativa.
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.unicesumar.edu.br/index.php/saudpesq/article/view/5856
10.17765/1983-1870.2017v10n3p587-596
url https://periodicos.unicesumar.edu.br/index.php/saudpesq/article/view/5856
identifier_str_mv 10.17765/1983-1870.2017v10n3p587-596
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.unicesumar.edu.br/index.php/saudpesq/article/view/5856/3142
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Cesumar - UniCesumar
publisher.none.fl_str_mv Universidade Cesumar - UniCesumar
dc.source.none.fl_str_mv Saúde e Pesquisa; Vol 10 No 3 (2017): set./dez.; 587-596
Saúde e Pesquisa; v. 10 n. 3 (2017): set./dez.; 587-596
2176-9206
reponame:Saúde e Pesquisa (Online)
instname:Cesumar Diretoria de Pesquisa
instacron:CESUMAR
instname_str Cesumar Diretoria de Pesquisa
instacron_str CESUMAR
institution CESUMAR
reponame_str Saúde e Pesquisa (Online)
collection Saúde e Pesquisa (Online)
repository.name.fl_str_mv Saúde e Pesquisa (Online) - Cesumar Diretoria de Pesquisa
repository.mail.fl_str_mv naep@cesumar.br
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dc.identifier.doi.none.fl_str_mv 10.17765/1983-1870.2017v10n3p587-596

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