Most used nursing diagnoses in confirmed cases of covid-19 in Brazil
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/16878 |
Resumo: | When the patient progresses to the severe condition of covid-19, the nurse must systematize, plan and direct nursing care so that the patient's recovery occurs. Thus, this study has the central objective of identifying the most frequent nursing diagnoses in patients contaminated by covid-19. The study was carried out through a literature review with a descriptive and qualitative approach, in digital libraries, which allow a search in their own databases using standardized descriptors. It was possible to identify 12 frequent diagnoses in patients with covid-19, which are: health promotion: ineffective protection, risk of electrolyte imbalance, diarrhea, decreased cardiac output, spiritual distress, related hyperthermia, related acute pain. Finally, there was a shortage of national publications on the topic addressed in this research, so authors expect this study to contribute to the development of new research related to nursing diagnoses in patients affected by covid-19. When properly applied, the ND has a positive impact on nursing care and contributes to a better patient's recovery, in addition to avoiding unnecessary interventions. |
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Most used nursing diagnoses in confirmed cases of covid-19 in BrazilDiagnósticos de enfermería más utilizados en casos confirmados de covid-19 en BrasilDiagnósticos de enfermagem mais utilizados em casos confirmados de covid-19 no BrasilCoronavirus infectionsNursing diagnosisNursing careplan.Infecciones por coronavirusDiagnóstico de enfermeríaPlan de atención a enfermería.Infecções por coronavírusDiagnóstico de enfermagemPlano de assistência de enfermagem.When the patient progresses to the severe condition of covid-19, the nurse must systematize, plan and direct nursing care so that the patient's recovery occurs. Thus, this study has the central objective of identifying the most frequent nursing diagnoses in patients contaminated by covid-19. The study was carried out through a literature review with a descriptive and qualitative approach, in digital libraries, which allow a search in their own databases using standardized descriptors. It was possible to identify 12 frequent diagnoses in patients with covid-19, which are: health promotion: ineffective protection, risk of electrolyte imbalance, diarrhea, decreased cardiac output, spiritual distress, related hyperthermia, related acute pain. Finally, there was a shortage of national publications on the topic addressed in this research, so authors expect this study to contribute to the development of new research related to nursing diagnoses in patients affected by covid-19. When properly applied, the ND has a positive impact on nursing care and contributes to a better patient's recovery, in addition to avoiding unnecessary interventions.Cuando el paciente progresa a la condición severa de covid-19, la enfermera debe sistematizar, planificar y dirigir los cuidados de enfermería para que se produzca la recuperación del paciente. Así, este estudio tiene como objetivo central identificar los diagnósticos de enfermería más frecuentes en pacientes contaminados por covid-19. El estudio se llevó a cabo mediante una revisión de la literatura con un enfoque descriptivo y cualitativo, en bibliotecas digitales, que permiten una búsqueda en sus propias bases de datos mediante el uso de descriptores estandarizados. Fue posible identificar 12 diagnósticos frecuentes en pacientes con covid-19, los cuales son: promoción de la salud: protección ineficaz, riesgo de desequilibrio electrolítico, diarrea, disminución del gasto cardíaco, angustia espiritual, hipertermia relacionada, dolor agudo relacionado. Finalmente, hubo una falta de publicaciones nacionales sobre el tema abordado en esta investigación, por lo que los autores esperan que este estudio contribuya al desarrollo de nuevas investigaciones relacionadas con los diagnósticos de enfermería en pacientes afectados por covid-19. Cuando se aplica correctamente, el ND tiene un impacto positivo en los cuidados de enfermería y contribuye a una mejor recuperación del paciente, además de evitar intervenciones innecesarias.No momento em que o paciente evolui para o quadro grave da covid-19, o enfermeiro deve sistematizar, planejar e direcionar à assistência de enfermagem para que ocorra a recuperação deste paciente. Deste modo, este estudo possui o objetivo central de identificar os diagnósticos de enfermagem mais frequentes em pacientes contaminados pela covid-19. O estudo foi realizado por meio de uma revisão bibliográfica de abordagem descritiva e qualitativa, em bibliotecas digitais, que permitem uma busca em bases de dados próprias por meio da utilização de descritores padronizados. Foi possível identificar 12 diagnósticos frequentes em pacientes com covid-19, que são: promoção da saúde: proteção ineficaz, risco de desequilíbrio eletrolítico, diarreia, débito cardíaco diminuído, sofrimento espiritual, hipertermia relacionada, dor aguda relacionada. Por fim, constatou-se uma escassez de publicações nacionais a respeito do tema abordado nesta pesquisa, com isto os autores esperam que este estudo contribua para o desenvolvimento de novas pesquisas relacionadas aos diagnósticos de enfermagem em pacientes acometidos pelo covid-19. Quando bem aplicado, o DE impacta de maneira positiva na assistência de enfermagem e contribuir para uma melhor recuperação do paciente, além de evitar intervenções desnecessárias.Research, Society and Development2021-07-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1687810.33448/rsd-v10i8.16878Research, Society and Development; Vol. 10 No. 8; e4010816878Research, Society and Development; Vol. 10 Núm. 8; e4010816878Research, Society and Development; v. 10 n. 8; e40108168782525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/16878/15186Copyright (c) 2021 Thays Vieira Cusato; Judith Victoria Castillo Mejía; Priscila Gramata da Silva Vitorino; Daiana Moreira Gomes; Daniele Vignoli Ribeiro; Luana de Oliveira Hernandes; Thais Oliveira de Paula Lima; Natasha Vila Chã; VIctor Hugo de Paula Flauzino; Jonas Magno dos Santos Cesáriohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessCusato, Thays VieiraMejía, Judith Victoria CastilloVitorino, Priscila Gramata da SilvaGomes, Daiana MoreiraRibeiro, Daniele VignoliHernandes, Luana de OliveiraLima, Thais Oliveira de PaulaChã, Natasha VilaFlauzino, VIctor Hugo de Paula Cesário, Jonas Magno dos Santos2021-08-21T18:46:59Zoai:ojs.pkp.sfu.ca:article/16878Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:37:18.853821Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Most used nursing diagnoses in confirmed cases of covid-19 in Brazil Diagnósticos de enfermería más utilizados en casos confirmados de covid-19 en Brasil Diagnósticos de enfermagem mais utilizados em casos confirmados de covid-19 no Brasil |
title |
Most used nursing diagnoses in confirmed cases of covid-19 in Brazil |
spellingShingle |
Most used nursing diagnoses in confirmed cases of covid-19 in Brazil Cusato, Thays Vieira Coronavirus infections Nursing diagnosis Nursing careplan. Infecciones por coronavirus Diagnóstico de enfermería Plan de atención a enfermería. Infecções por coronavírus Diagnóstico de enfermagem Plano de assistência de enfermagem. |
title_short |
Most used nursing diagnoses in confirmed cases of covid-19 in Brazil |
title_full |
Most used nursing diagnoses in confirmed cases of covid-19 in Brazil |
title_fullStr |
Most used nursing diagnoses in confirmed cases of covid-19 in Brazil |
title_full_unstemmed |
Most used nursing diagnoses in confirmed cases of covid-19 in Brazil |
title_sort |
Most used nursing diagnoses in confirmed cases of covid-19 in Brazil |
author |
Cusato, Thays Vieira |
author_facet |
Cusato, Thays Vieira Mejía, Judith Victoria Castillo Vitorino, Priscila Gramata da Silva Gomes, Daiana Moreira Ribeiro, Daniele Vignoli Hernandes, Luana de Oliveira Lima, Thais Oliveira de Paula Chã, Natasha Vila Flauzino, VIctor Hugo de Paula Cesário, Jonas Magno dos Santos |
author_role |
author |
author2 |
Mejía, Judith Victoria Castillo Vitorino, Priscila Gramata da Silva Gomes, Daiana Moreira Ribeiro, Daniele Vignoli Hernandes, Luana de Oliveira Lima, Thais Oliveira de Paula Chã, Natasha Vila Flauzino, VIctor Hugo de Paula Cesário, Jonas Magno dos Santos |
author2_role |
author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Cusato, Thays Vieira Mejía, Judith Victoria Castillo Vitorino, Priscila Gramata da Silva Gomes, Daiana Moreira Ribeiro, Daniele Vignoli Hernandes, Luana de Oliveira Lima, Thais Oliveira de Paula Chã, Natasha Vila Flauzino, VIctor Hugo de Paula Cesário, Jonas Magno dos Santos |
dc.subject.por.fl_str_mv |
Coronavirus infections Nursing diagnosis Nursing careplan. Infecciones por coronavirus Diagnóstico de enfermería Plan de atención a enfermería. Infecções por coronavírus Diagnóstico de enfermagem Plano de assistência de enfermagem. |
topic |
Coronavirus infections Nursing diagnosis Nursing careplan. Infecciones por coronavirus Diagnóstico de enfermería Plan de atención a enfermería. Infecções por coronavírus Diagnóstico de enfermagem Plano de assistência de enfermagem. |
description |
When the patient progresses to the severe condition of covid-19, the nurse must systematize, plan and direct nursing care so that the patient's recovery occurs. Thus, this study has the central objective of identifying the most frequent nursing diagnoses in patients contaminated by covid-19. The study was carried out through a literature review with a descriptive and qualitative approach, in digital libraries, which allow a search in their own databases using standardized descriptors. It was possible to identify 12 frequent diagnoses in patients with covid-19, which are: health promotion: ineffective protection, risk of electrolyte imbalance, diarrhea, decreased cardiac output, spiritual distress, related hyperthermia, related acute pain. Finally, there was a shortage of national publications on the topic addressed in this research, so authors expect this study to contribute to the development of new research related to nursing diagnoses in patients affected by covid-19. When properly applied, the ND has a positive impact on nursing care and contributes to a better patient's recovery, in addition to avoiding unnecessary interventions. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-07-04 |
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/16878 10.33448/rsd-v10i8.16878 |
url |
https://rsdjournal.org/index.php/rsd/article/view/16878 |
identifier_str_mv |
10.33448/rsd-v10i8.16878 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/16878/15186 |
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. 10 No. 8; e4010816878 Research, Society and Development; Vol. 10 Núm. 8; e4010816878 Research, Society and Development; v. 10 n. 8; e4010816878 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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1797052807412449280 |