Nursing Diagnoses in Patients Under Intensive Care
Alex Patrick Oliveira da Silva *
Universidade da Amazônia (UNAMA). Ananindeua, Pará, Brazil.
Sebastião Kauã de Sousa Bispo
Universidade da Amazônia (UNAMA). Ananindeua, Pará, Brazil.
Maísa Barroso de Araújo
Universidade da Amazônia (UNAMA). Ananindeua, Pará, Brazil.
Marcelo Mesquita Moura Júnior
Universidade da Amazônia (UNAMA). Ananindeua, Pará, Brazil.
Brenda Tereza Freitas Viana
Universidade da Amazônia (UNAMA). Ananindeua, Pará, Brazil.
Carlos Eduardo Franco de Sá de Medeiros
Universidade da Amazônia (UNAMA). Ananindeua, Pará, Brazil.
Lucas de Sousa Miranda
Universidade da Amazônia (UNAMA). Ananindeua, Pará, Brazil.
Marina Rodrigues Andrade Costa
Universidade da Amazônia (UNAMA). Ananindeua, Pará, Brazil.
Giselly do Socorro Santos de Oliveira
Universidade da Amazônia (UNAMA). Ananindeua, Pará, Brazil.
Daniele Melo Sardinha
Programa de Pós-Graduação em Biologia Parasitária na Amazônia, Universidade do Estado do Para e Instituto Evandro Chagas (PPGBPA/UEPA/IEC). Belém, Pará, Brazil.
Tamires de Nazaré Soares
Programa de Pós-Graduação em Biologia Parasitária na Amazônia, Universidade do Estado do Para e Instituto Evandro Chagas (PPGBPA/UEPA/IEC). Belém, Pará, Brazil.
*Author to whom correspondence should be addressed.
Abstract
The objective of this research is to identify nursing diagnoses based on the NANDA taxonomy in patients under intensive care. Nurses are health professionals inserted in all spheres of complexity, as they apply their care based on the Systematization of Nursing Care (NCS), which offers a systematized and science-based service. Thus, in the context of patients in intensive care, characterized as critical, they need differentiated care. Thus, the objective is to identify nursing diagnoses based on the NANDA taxonomy in patients under intensive care. It was carried out from a descriptive, exploratory, integrative literature review study, in the LILACS and VHL databases, including articles published in the last five years, in Portuguese, English and Spanish. The data were analyzed by tabulation using an instrument developed by the authors. 4 articles were searched for the sample, and the following nursing diagnoses were highlighted: Impaired skin integrity; Risk of Impaired Skin Integrity; Risk of infection; Risk of aspiration; Deficit of self-care bathing/hygiene; Interrupted family process; Risk of disuse syndrome; impaired oral mucosa; Ineffective breathing pattern; Unbalanced nutrition. It is concluded that the nurse's performance from the NCS enhances the quality of the service provided, and has repercussions on patient safety. NCS studies promote evidence-based practice and promote the health of patients assisted.
Keywords: Nursing diagnoses, nursing care, critical care, intensive care units