Nursing diagnosis of patients using mechanical ventilation in Intensive Care Units

Detalhes bibliográficos
Autor(a) principal: Santos, Jhéssica Mariany Mendes
Data de Publicação: 2022
Outros Autores: Gomes, Gabriella Dias, Gomes, Bruna Katerine Godinho, Pereira, Vanessa Soares, Dias, Ana Cecília Antunes, Vieira, Hilária Augusto Lopes, Santos, Bruna Emanuelle, Fernandes , Isabella Cristina Vieira, Almeida, Larissa Ariella Gonçalves, Torres, Fernanda Gabrielle Simões
Tipo de documento: Artigo
Idioma: por
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/32405
Resumo: Objective: To verify the most used nursing diagnoses regarding Mechanical Ventilation in Intensive Care Units. Method: Integrative literature review, with 11 files selected between the years 2016 to 2021 in the SciELO, BDENF, LILACS and MEDLINE databases. Results: In the studies in question, the following diagnoses were identified: Risk of Infection, Dysfunctional response to ventilator weaning, Risk of Acute Confusion/Acute Confusion, Hospital Infection, Risk of Dry Eye, Risk of Infection, Pain, Ineffective breathing pattern and impaired spontaneous ventilation, in addition to mentioning keratopathy that is not considered a nursing diagnosis, but its inclusion is due to the importance that nurses have in its detection. Conclusion: Knowing about Nursing Diagnoses and associating them with problems related to mechanical ventilation, in addition to being part of the Nursing Process, is an essential step for nurses to become able to offer technical, comprehensive, resolute and systematized assistance to their patients.
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spelling Nursing diagnosis of patients using mechanical ventilation in Intensive Care UnitsDiagnóstico de enfermería de pacientes usuarios de ventilación mecánica en Unidades de Cuidados IntensivosDiagnóstico de enfermagem a pacientes em uso de ventilação mecânica nas Unidades de Terapia IntensivaDiagnóstico de EnfermeríaVentilación MecánicaUnidades de cuidados intensivos.Diagnóstico de enfermagemVentilação MecânicaUnidade de terapia intensiva.Nursing DiagnosisMechanical VentilationIntensive care units.Objective: To verify the most used nursing diagnoses regarding Mechanical Ventilation in Intensive Care Units. Method: Integrative literature review, with 11 files selected between the years 2016 to 2021 in the SciELO, BDENF, LILACS and MEDLINE databases. Results: In the studies in question, the following diagnoses were identified: Risk of Infection, Dysfunctional response to ventilator weaning, Risk of Acute Confusion/Acute Confusion, Hospital Infection, Risk of Dry Eye, Risk of Infection, Pain, Ineffective breathing pattern and impaired spontaneous ventilation, in addition to mentioning keratopathy that is not considered a nursing diagnosis, but its inclusion is due to the importance that nurses have in its detection. Conclusion: Knowing about Nursing Diagnoses and associating them with problems related to mechanical ventilation, in addition to being part of the Nursing Process, is an essential step for nurses to become able to offer technical, comprehensive, resolute and systematized assistance to their patients.Objetivo: Verificar los diagnósticos de enfermería más utilizados sobre Ventilación Mecánica en Unidades de Cuidados Intensivos. Método: Revisión integrativa de la literatura, con 11 archivos seleccionados entre los años 2016 a 2021 en las bases de datos SciELO, BDENF, LILACS y MEDLINE. Resultados: En los estudios en cuestión se identificaron los siguientes diagnósticos: Riesgo de infección, respuesta disfuncional al destete del ventilador, riesgo de confusión aguda/Confusión aguda, infección hospitalaria, riesgo de ojo seco, riesgo de infección, dolor, patrón respiratorio ineficaz y ventilación espontánea alterada, además de mencionar la queratopatía que no se considera un diagnóstico de enfermería, pero su inclusión se debe a la importancia que tienen las enfermeras en su detección. Conclusión: Conocer los Diagnósticos de Enfermería y asociarlos a problemas relacionados con la ventilación mecánica, además de ser parte del Proceso de Enfermería, es un paso fundamental para que el enfermero sea capaz de ofrecer una asistencia técnica, integral, resolutiva y sistematizada a sus pacientes.Objetivo: Verificar os diagnósticos de enfermagem mais usados frente à Ventilação Mecânica nas Unidades de Terapia Intensiva. Método: Revisão integrativa da literatura, com 11 arquivos selecionados entre os anos de 2016 a 2021 nas bases de dados SciELO, BDENF, LILACS e MEDLINE. Resultados: Nos estudos em questão, foram identificados os seguintes diagnósticos: Risco de Infecção, Resposta Disfuncional ao Desmame Ventilatório, Risco de confusão aguda/Confusão Aguda, Infecção Hospitalar, Risco de Olho seco, Risco de Infecção, Dor, Padrão respiratório ineficaz e Ventilação espontânea prejudicada, além de citar sobre a ceratopatia que não é considerado um diagnóstico de enfermagem, mas sua inclusão se dá em razão à importância que o enfermeiro possui perante sua detecção. Conclusão: Conhecer sobre os Diagnósticos de Enfermagem e associa-los aos problemas relativos à ventilação mecânica, além de fazer parte do Processo de Enfermagem se configuram como etapa essencial para o enfermeiro se tornar apto a ofertar uma assistência qualificada, integral, resolutiva e sistematizada para seus pacientes.Research, Society and Development2022-07-23info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/3240510.33448/rsd-v11i10.32405Research, Society and Development; Vol. 11 No. 10; e73111032405Research, Society and Development; Vol. 11 Núm. 10; e73111032405Research, Society and Development; v. 11 n. 10; e731110324052525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/32405/27562Copyright (c) 2022 Jhéssica Mariany Mendes Santos; Gabriella Dias Gomes; Bruna Katerine Godinho Gomes; Vanessa Soares Pereira; Ana Cecília Antunes Dias; Hilária Augusto Lopes Vieira; Bruna Emanuelle Santos; Isabella Cristina Vieira Fernandes ; Larissa Ariella Gonçalves Almeida; Fernanda Gabrielle Simões Torreshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSantos, Jhéssica Mariany MendesGomes, Gabriella DiasGomes, Bruna Katerine GodinhoPereira, Vanessa SoaresDias, Ana Cecília AntunesVieira, Hilária Augusto LopesSantos, Bruna EmanuelleFernandes , Isabella Cristina Vieira Almeida, Larissa Ariella GonçalvesTorres, Fernanda Gabrielle Simões2022-08-12T22:23:03Zoai:ojs.pkp.sfu.ca:article/32405Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:48:25.629754Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Nursing diagnosis of patients using mechanical ventilation in Intensive Care Units
Diagnóstico de enfermería de pacientes usuarios de ventilación mecánica en Unidades de Cuidados Intensivos
Diagnóstico de enfermagem a pacientes em uso de ventilação mecânica nas Unidades de Terapia Intensiva
title Nursing diagnosis of patients using mechanical ventilation in Intensive Care Units
spellingShingle Nursing diagnosis of patients using mechanical ventilation in Intensive Care Units
Santos, Jhéssica Mariany Mendes
Diagnóstico de Enfermería
Ventilación Mecánica
Unidades de cuidados intensivos.
Diagnóstico de enfermagem
Ventilação Mecânica
Unidade de terapia intensiva.
Nursing Diagnosis
Mechanical Ventilation
Intensive care units.
title_short Nursing diagnosis of patients using mechanical ventilation in Intensive Care Units
title_full Nursing diagnosis of patients using mechanical ventilation in Intensive Care Units
title_fullStr Nursing diagnosis of patients using mechanical ventilation in Intensive Care Units
title_full_unstemmed Nursing diagnosis of patients using mechanical ventilation in Intensive Care Units
title_sort Nursing diagnosis of patients using mechanical ventilation in Intensive Care Units
author Santos, Jhéssica Mariany Mendes
author_facet Santos, Jhéssica Mariany Mendes
Gomes, Gabriella Dias
Gomes, Bruna Katerine Godinho
Pereira, Vanessa Soares
Dias, Ana Cecília Antunes
Vieira, Hilária Augusto Lopes
Santos, Bruna Emanuelle
Fernandes , Isabella Cristina Vieira
Almeida, Larissa Ariella Gonçalves
Torres, Fernanda Gabrielle Simões
author_role author
author2 Gomes, Gabriella Dias
Gomes, Bruna Katerine Godinho
Pereira, Vanessa Soares
Dias, Ana Cecília Antunes
Vieira, Hilária Augusto Lopes
Santos, Bruna Emanuelle
Fernandes , Isabella Cristina Vieira
Almeida, Larissa Ariella Gonçalves
Torres, Fernanda Gabrielle Simões
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Santos, Jhéssica Mariany Mendes
Gomes, Gabriella Dias
Gomes, Bruna Katerine Godinho
Pereira, Vanessa Soares
Dias, Ana Cecília Antunes
Vieira, Hilária Augusto Lopes
Santos, Bruna Emanuelle
Fernandes , Isabella Cristina Vieira
Almeida, Larissa Ariella Gonçalves
Torres, Fernanda Gabrielle Simões
dc.subject.por.fl_str_mv Diagnóstico de Enfermería
Ventilación Mecánica
Unidades de cuidados intensivos.
Diagnóstico de enfermagem
Ventilação Mecânica
Unidade de terapia intensiva.
Nursing Diagnosis
Mechanical Ventilation
Intensive care units.
topic Diagnóstico de Enfermería
Ventilación Mecánica
Unidades de cuidados intensivos.
Diagnóstico de enfermagem
Ventilação Mecânica
Unidade de terapia intensiva.
Nursing Diagnosis
Mechanical Ventilation
Intensive care units.
description Objective: To verify the most used nursing diagnoses regarding Mechanical Ventilation in Intensive Care Units. Method: Integrative literature review, with 11 files selected between the years 2016 to 2021 in the SciELO, BDENF, LILACS and MEDLINE databases. Results: In the studies in question, the following diagnoses were identified: Risk of Infection, Dysfunctional response to ventilator weaning, Risk of Acute Confusion/Acute Confusion, Hospital Infection, Risk of Dry Eye, Risk of Infection, Pain, Ineffective breathing pattern and impaired spontaneous ventilation, in addition to mentioning keratopathy that is not considered a nursing diagnosis, but its inclusion is due to the importance that nurses have in its detection. Conclusion: Knowing about Nursing Diagnoses and associating them with problems related to mechanical ventilation, in addition to being part of the Nursing Process, is an essential step for nurses to become able to offer technical, comprehensive, resolute and systematized assistance to their patients.
publishDate 2022
dc.date.none.fl_str_mv 2022-07-23
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/32405
10.33448/rsd-v11i10.32405
url https://rsdjournal.org/index.php/rsd/article/view/32405
identifier_str_mv 10.33448/rsd-v11i10.32405
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/32405/27562
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 11 No. 10; e73111032405
Research, Society and Development; Vol. 11 Núm. 10; e73111032405
Research, Society and Development; v. 11 n. 10; e73111032405
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
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