摘要
Objective: The objective is to correlate the nursing diagnoses of the domain Safety/Protection of NANDA-I in critically ill patients with sociodemographic and clinical data. Method: A cross-sectional study with 86 individuals was conducted, from October 2013 to May 2014 in the Intensive Care Unit of a university hospital in northeastern Brazil, through a formal interview and physical examination. Results: It was possible to identify a total of 20 significant statistical associations, and 15 were clinically justified by the literature, namely: risk for aspiration and reason for admission;impaired dentition and age;risk for peripheral neurovascular dysfunction and sex and comorbidity;skin integrity and comorbidity;risk for impaired skin integrity and gender and reason for admission;impaired tissue integrity and gender and reason for admission;risk for perioperative positioning injury and reason for admission;risk for thermal injury and age and comorbidity;delayed surgical recovery and reason for admission;risk for poisoning and years of schooling;and risk for imbalanced body temperature and age. Conclusions: By understanding the relationship between customers’ answers and the sociodemographic and clinical profile, positive health outcomes can be achieved in particular in the prevention of risks facing vulnerability characteristics, providing greater safety and protection for the critical customer.
Objective: The objective is to correlate the nursing diagnoses of the domain Safety/Protection of NANDA-I in critically ill patients with sociodemographic and clinical data. Method: A cross-sectional study with 86 individuals was conducted, from October 2013 to May 2014 in the Intensive Care Unit of a university hospital in northeastern Brazil, through a formal interview and physical examination. Results: It was possible to identify a total of 20 significant statistical associations, and 15 were clinically justified by the literature, namely: risk for aspiration and reason for admission;impaired dentition and age;risk for peripheral neurovascular dysfunction and sex and comorbidity;skin integrity and comorbidity;risk for impaired skin integrity and gender and reason for admission;impaired tissue integrity and gender and reason for admission;risk for perioperative positioning injury and reason for admission;risk for thermal injury and age and comorbidity;delayed surgical recovery and reason for admission;risk for poisoning and years of schooling;and risk for imbalanced body temperature and age. Conclusions: By understanding the relationship between customers’ answers and the sociodemographic and clinical profile, positive health outcomes can be achieved in particular in the prevention of risks facing vulnerability characteristics, providing greater safety and protection for the critical customer.
