Use este identificador para citar ou linkar para este item: http://repositorio.unirn.edu.br/jspui/handle/123456789/1113
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Campo DCValorIdioma
dc.creatorCosta, Maria-
dc.creatorDias, Gabriele-
dc.date.accessioned2025-07-01T17:12:49Z-
dc.date.available2025-07-01T17:12:49Z-
dc.date.issued2025-06-17-
dc.identifier.urihttp://repositorio.unirn.edu.br/jspui/handle/123456789/1113-
dc.description.abstractObjective: To analyze how the implementation of the MEOWS scale can contribute to reducing maternal mortality. Method: During the months of March and April 2025, the research was carried out using the following cross-reference: (Maternal Mortality) AND (Clinical Deterioration) AND (Early Warning Score) through the following databases: Scielo (Scientific Electronic Library Online), LILACS (Latin American and Caribbean Health Sciences Literature) and MEDLINE (Medical Literature Analysis and Retrieval System Online), accessed through the Virtual Health Library. The stages of identification, screening, eligibility assessment and inclusion of articles were followed, culminating in 9 studies selected for this review. Results: Alert systems, such as MEOWS, provide early detection of signs of worsening in the clinical condition of pregnant and postpartum women, enabling an effective and immediate approach by the obstetric team. Conclusion: Based on the studies analyzed, it can be concluded that the application of the Modified Early Obstetric Warning System (MEOWS) would contribute to reducing maternal morbidity and mortality. It is essential to standardize the protocols and parameters present in this system, in addition to aligning its implementation with ongoing education and constant training of the professional nursing team.pt_BR
dc.description.sponsorshipCNPqpt_BR
dc.languageporpt_BR
dc.publisherCentro Universitário do Rio Grande do Nortept_BR
dc.rightsAcesso Abertopt_BR
dc.subjectMortalidade maternapt_BR
dc.subjectDeterioração clínicapt_BR
dc.subjectEscore de alerta precocept_BR
dc.titleA escala Meows na redução da mortalidade materna : identificação e monitoramento de riscos obstétricospt_BR
dc.title.alternativeThe Meows scale in reducing maternal mortality: identifying and monitoring obstetric riskspt_BR
dc.typeTrabalho de Conclusão de Cursopt_BR
dc.contributor.advisor1Abreu, Natasha-
dc.contributor.referee1Duarte, Fernando-
dc.contributor.referee2Ferreira, Maria-
dc.contributor.referee3Abreu, Natasha-
dc.description.resumoObjetivo: Analisar como a implementação da escala MEOWS pode contribuir para a redução da mortalidade materna. Método: Durante o mês de março e abril de 2025 a pesquisa foi realizada a partir do seguinte cruzamento: (Mortalidade Materna) AND (Deterioração Clínica) AND (Escore de Alerta Precoce) por meio das seguintes bases de dados: Scielo (Scientific Electronic Library Online), LILACS (Literatura Latino-Americana e do Caribe em Ciências da Saúde) e MEDLINE (Medical Literature Analysis and Retrievel System Online), acessados pela Biblioteca Virtual em Saúde. foram seguidas as etapas de identificação, triagem, avaliação de elegibilidade e inclusão de artigos, culminando em 9 estudos selecionados para esta revisão. Resultados: Sistemas de alerta, como MEOWS, proporcionam a detecção precoce de sinais de agravamento no quadro clínico de gestantes e puérperas, possibilitando uma abordagem eficaz e imediata da equipe obstétrica. Conclusão: Com base nos estudos analisados, pode-se concluir que a aplicação do Modified Early Obstetric Warning System (MEOWS) contribuiria para a redução de morbimortalidade materna, sendo indispensável que haja uma padronização dos protocolos e parâmetros presentes nesse sistema, além de alinhar sua implementação à educação permanente e treinamento constante da equipe profissional de enfermagem.pt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentEnfermagempt_BR
dc.publisher.initialsUNI-RNpt_BR
dc.subject.cnpqCNPQ::CIENCIAS DA SAUDEpt_BR
dc.relation.references1 Ministério da Saúde (BR). Secretaria de Atenção Primária à Saúde. Manual de gestação de alto risco. Brasília (DF): Ministério da Saúde; 2022. [access in: 2024 sep 19]. Available from: https://bvsms.saude.gov.br/bvs/publicacoes/manual_gestacao_alto_risco.pdf 2 Conselho Federal de Enfermagem (BR). Razão de mortalidade materna no Brasil se equipara à de 25 anos atrás. Brasília (DF): 2023 Apr. Available From: https://www.cofen.gov.br/razao-de-mortalidade-materna-no-brasil-se-equipara-a-de-25-anos/#:~:text=A%20raz%C3%A3o%20de%20mortalidade%20materna%20(RMM)%20%E2%80%93%20um%20dos%20mais,2020%2C%20de%2071%2C9 3 World Health Organization (WHO). Trends in maternal mortality 2000 to 2020: estimates by WHO, UNICEF, UNFPA, World Bank Group and UNDESA/Population Division. [access in 2025 may 03]. Available from: https://www.who.int/publications/i/item/9789240068759 4 Ministério da Saúde (BR). Departamento de Informática do Sistema Único de Saúde. Tabnet. Brasília (DF): Ministério da Saúde; 2023. [Access in: 22 aug. 2024] Available from: http://tabnet.datasus.gov.br/cgi/deftohtm.exe?sim/cnv/mat10uf.def. 5 Ministério da Saúde (BR). Portaria GM/MS nº 5.350, de 13 de setembro de 2024. Altera a Portaria de Consolidação GM/MS nº 3, de 28 de setembro de 2017, para dispor sobre a Rede Alyne. Brasília (DF). [Access in: 22 mar. 2025]. Available from: https://bvsms.saude.gov.br/bvs/saudelegis/gm/2024/prt5350_13_09_2024.html. 6 Jolene Moore, Duncan Thomson, Iona Pimentil, Bazezew Fekad, Wendy Graham. Introduction of a modified obstetric early warning system (MOEWS) at an Ethiopian referral hospital: a feasibility assessment. BMJ Quality improvement report [Internet]. 2019 Mar; 8 (1): 1-5. Available from: https://dx.doi.org/10.1136/bmjoq-2018-000503 7 Schuler L, Katz L, Melo BCP de, Coutinho IC. The use of the Modified Early Obstetric Warning System (MEOWS) in women after pregnancies: a descriptive study. Rev Bras Saude Mater Infant [Internet]. 2019 Jul; 19 (3): 545–55. Available from: https://doi.org/10.1590/1806-93042019000300004 8 Tanya Robbins, Andrew Shennan, Jane Sandall. Modified early obstetric warning scores: A promising tool but more evidence and standardization is required. Acta Obstetricia et gynecologica Scandinavica [Internet]. 2019 Jan; 98 (1): 7-10. Available from: https://doi.org/10.1111/aogs.13448 9 Débora Rodrigues L. Concordância Interavaliadores do Protocolo de Acolhimento e Classificação de Risco em Obstetrícia do Ministério da Saúde [Dissertação/Tese]. Minas Gerais (MG): Universidade Federal de Minas Gerais; 2021. Available from: https://repositorio.ufmg.br/handle/1843/41310 10 Marcela Tavares de Souza , Michelly Dias da Silva , Rachel de Carvalho. Integrative review: what is it? How to do it?. Einstein [Internet]. 2010; 8: 102-106. Available from: https://doi.org/10.1590/S1679-45082010RW1134. 11 Jimin J. Kim,Michaela K. Farber,Bushra W. Taha. Epidemiology, trends, and disparities in maternal mortality: A framework for obstetric anesthesiologists. Best Practice & Research Clinical Anaesthesiology [Internet]. 2024 Sep; 38 (3): 157-167. Available from: https://doi.org/10.1016/j.bpa.2024.11.005 12 Shrijit Nair, Aidan Spring ,Lucy Dockrell, Siaghal Mac Colgain. Irish maternal early warning score. Irish Journal of Medical Science (1971) [Internet]. 2019 jun; 189 (1): 229-235. Available from: https://link.springer.com/article/10.1007/s11845-019-02028-1 13 Katja Hannola, Sanna Hoppu, Susanna Mennander,Heini Huhtala, Hannele Laivuori, Kati Tihtonen. Obstetric early warning system to predict maternal morbidity of pre-eclampsia, postpartum hemorrhage and infection after birth in high-risk women: a prospective cohort study. Midwifery [Internet]. 2021 Aug; 99: 1-8. Available from: https://doi.org/10.1016/j.midw.2021.103015 14 Valéria Smith, Louise C Kenny, Jane Sandall, Declan Devane, Maria Noonan. Physiological track‐and‐trigger/early warning systems for use in maternity care. Cochrane Database of Systematic Reviews [Internet]. 2021 Sep; (9): 1-38. Available from: https://www.cochranelibrary.com/cdsr/doi/10.1002/14651858.CD013276.pub2/abstract 15 M. Drake, G. Austin, L. Dann, Y. Li, C. Shuker, A. Psirides. Introduction of a standardised maternity early warning system: indicative data from a before-and-after study at a large pilot site before national rollout in Aotearoa New Zealand. Association of anaesthetists [Internet]. 2021 Aug; 76 (12): 1600–1606. Available from: https://doi.org/10.1111/anae.15557 16 Jeeventh Kaur, Cameron Thompson, Catherine Varner. Application of the Modified Early Obstetrical Warning System (MEOWS) in postpartum patients in the emergency department. Canadian Journal of Emergency Medicine [Internet]. 2023 Abr; 25: 481–488. Available from: https://doi.org/10.1007/s43678-023-00500-7 17 James Cheshire, David Lissauer, Will Parry-Smith, Aurelio Tobias, Gary B. Smith, Richard Isaacs. Escalation triggers and expected responses in obstetric early warning systems used in UK consultant-led maternity units. Resuscitation Plus [Internet]. 2021 Mar; 5: 1-8. Available from: https://dx.doi.org/10.1016/j.resplu.2020.100060 18 David E. Arnolds, Kyle A. Carey, Lena Braginsky, Roxane Holt, Dana P. Edelson1 , Barbara M. Scavone. Comparison of early warning scores for predicting clinical deterioration and infection in obstetric patients. BMC Pregnancy and Childbirth [Internet]. 2022 Abr;. 22 (295): 1-9. Available from: https://link.springer.com/article/10.1186/s12884-022-04631-0 19 Yamikani Chimwazaa, Alexandra Huntc, Livia Oliveira Ciabatid, Laura Bonnettc, Edgardo Abalosf , Cristina Cuesta. Early warning systems for identifying severe maternal outcomes: findings from the WHO global maternal sepsis study. EClinicalMedicine [Internet]. 2025 Jan; 79: 1-12. Available from: https://dx.doi.org/10.1016/j.eclinm.2024.102981 20 Xu Y, Zhu S, Song H, Lian X, Zeng M, He J. A new modified obstetric early warning score for prognostication of severe maternal morbidity. BMC Pregnancy and Childbirth [Internet]. 2022 Dez; 22 (1): 901. Available from: 10.1186/s12884-022-05216-7 21 Preeti Yadav, Ranjana Sinha. Validating the Performance of Modified Early Obstetrics Warning Score (MEOWS) for Prediction of Obstetrics Morbidity: A Prospective Observational Study in a Tertiary Care Institute in East India. The Journal of Obstetrics and Gynecology of India [Internet].2023 Nov; 73 (2): 227–233. Available from: 10.1007/s13224-023-01855-8 22 Laura Bacelar de Araujo Lourenço, Mariana de Jesus Meszaros,Michele de Freitas Neves Silva,Thaís Moreira São-João. Nursing Training for Early Clinical Deterioration Risk Assessment: Protocol for an Implementation Study. research protocols [Internet]. 2023 Out; 12: 1-9. Available from: https://dx.doi.org/10.2196/47293 23 Vitória Espindola Leite Borges, Francisco Barbosa Jr, Fábio Fernandes Neves, Maria Rita de Souza Mesquita, Elaine Christine Dantas Moisés. National survey regarding obstetricians perspective of obstetric emergencies in Brazil. Clinics [Internet]. 2024 Dez; 79: 1-7. Available from: https://doi.org/10.1016/j.clinsp.2024.100333 24 Bruna Rafaela de Oliveira. Identificação Precoce de Deterioração Clínica em Pacientes Obstétricas - MEOWS [Internet]. Rio de Janeiro (RJ); 2025 Mar. [access in: 2025 Jun. 05]. Available from: https://subpav.org/aps/uploads/publico/repositorio/pt_BR
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