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Accuracy of the defining characteristics of respiratory nursing diagnoses in patients with COVID-19.
Maurício, Aline Batista; Cavalcante, Agueda Maria Ruiz Zimmer; de Sá, Erika Silva; Bruni, Larissa Giardini; Vieira, Larissa Gabrielle Dias; Costa, Adriana; França, Letícia Diniz; Lopes, Marcos Venícios de Oliveira; de Barros, Alba Lucia Bottura Leite; da Silva, Viviane Martins.
Affiliation
  • Maurício AB; Paulista Nursing School, Federal University of São Paulo, São Paulo, Brazil.
  • Cavalcante AMRZ; College of Nursing, Federal University of Goiás, Goiânia, Brazil.
  • de Sá ES; College of Nursing, Federal University of Goiás, Goiânia, Brazil.
  • Bruni LG; Paulista Nursing School, Federal University of São Paulo, São Paulo, Brazil.
  • Vieira LGD; Nursing Department, Federal University of Ceará, Fortaleza, Brazil.
  • Costa A; Paulista Nursing School, Federal University of São Paulo, São Paulo, Brazil.
  • França LD; Paulista Nursing School, Federal University of São Paulo, São Paulo, Brazil.
  • Lopes MVO; Nursing Department, Federal University of Ceará, Fortaleza, Brazil.
  • de Barros ALBL; Paulista Nursing School, Federal University of São Paulo, São Paulo, Brazil.
  • da Silva VM; Nursing Department, Federal University of Ceará, Fortaleza, Brazil.
Int J Nurs Knowl ; 2024 Jul 01.
Article in En | MEDLINE | ID: mdl-38951045
ABSTRACT

OBJECTIVE:

To analyze the accuracy of the defining characteristics of four respiratory nursing diagnoses (ND) in patients with COVID-19 and on oxygen therapy.

METHODS:

This is a cross-sectional study conducted in four Brazilian public hospitals in two regions of the country. A total of 474 patients with COVID-19 receiving oxygen therapy were assessed. Latent-adjusted class analysis with random effects was used to establish the sensitivity (Se) and specificity (Sp) of the defining characteristics evaluated for each ND.

RESULTS:

Among the ND that constituted the study (impaired spontaneous ventilatory, impaired gas exchange, ineffective airway clearance, and dysfunctional ventilatory weaning response), the following defining characteristics had the highest simultaneous Se and Sp (>0.8) decrease in tidal volume, confusion, irritability, dyspnea, decreased breath sounds, orthopnea, impaired ability to cooperate and respond to coaching, and decrease in the level of consciousness.

CONCLUSIONS:

Recognizing the clinical signs that predict respiratory ND in patients affected by COVID-19 can contribute to the nurse's accurate diagnostic inference and designate the appropriate nursing interventions to achieve the desired results and avoid complications.
RESUMO

OBJETIVO:

Analisar a acurácia das características definidoras de quatro Diagnósticos de Enfermagem (DE) respiratórios em pacientes com COVID­19 e em uso de oxigenoterapia.

MÉTODOS:

Estudo transversal, realizado em quatro hospitais públicos brasileiros de duas regiões do país. Foram avaliados 474 pacientes diagnosticados com COVID­19 e em uso de oxigenoterapia. A análise de classe latente ajustada com efeitos randômicos foi utilizada para estabelecer a sensibilidade (Se) e especificidade (Sp) das características definidoras avaliadas para cada DE.

RESULTADOS:

As características definidoras volume corrente diminuído, confusão, irritabilidade, dispneia, sons respiratórios diminuídos, ortopneia, capacidade prejudicada para cooperar e responder orientações, e nível de consciência diminuído foram as que obtiveram maior sensibilidade e especificidade simultaneamente (> 0.8) dentre os diagnósticos de enfermagem compuseram o estudo Ventilação espontânea prejudicada, Resposta disfuncional ao desmame, Desobstrução ineficaz das vias aéreas e Troca de gases prejudicada.

CONCLUSÕES:

Conhecer os sinais clínicos preditores dos diagnósticos de enfermagem respiratórios em pacientes acometidos por COVID­19 pode contribuir para a inferência diagnóstica acurada do enfermeiro e designar as intervenções de enfermagem apropriadas para atingir os resultados desejados e evitar complicações.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Int J Nurs Knowl Year: 2024 Document type: Article Affiliation country: Brazil Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Int J Nurs Knowl Year: 2024 Document type: Article Affiliation country: Brazil Country of publication: United States