Defining characteristics of decreased cardiac output: a literature review

Identifying Nursing Diagnosis Patterns in Three Intensive Care Units Using Network Analysis

PURPOSE

This study aimed to analyze the patterns of nursing diagnoses used in three different types of intensive care units (ICUs) using network analysis.

METHODS

A secondary analysis was conducted using clinical datasets of 582 patients. Frequency, degree/betweenness centrality, and subgroup analysis were performed.

FINDINGS AND CONCLUSIONS

The findings illuminated core nursing diagnoses with high centrality as well as high frequency. The centrality analysis identified the differences between and unique characteristics of each ICU. The subgroup analysis revealed the nursing problem groups related to the specific nursing care delivered to ICU patients.

IMPLICATIONS FOR NURSING PRACTICE

Theses results provide a knowledge base to aid ICU nurses' prompt decision making regarding nursing diagnoses.

Risk factors for unstable blood glucose level: integrative review of the risk factors related to the nursing diagnosis

Objective

to identify evidence in the literature on the possible risk factors for the risk of unstable blood glucose diagnosis in individuals with type 2 diabetes mellitus, and to compare them with the risk factors described by NANDA International.

Method

an integrative literature review guided by the question: what are the risk factors for unstable blood glucose level in people with type 2 diabetes mellitus? Primary studies were included whose outcomes were variations in glycemic levels, published in English, Portuguese or Spanish, in PubMed or CINAHL between 2010 and 2015.

Results

altered levels of glycated hemoglobin, body mass index>31 kg/m2, previous history of hypoglycemia, cognitive deficit/dementia, autonomic cardiovascular neuropathy, comorbidities and weight loss corresponded to risk factors described in NANDA International. Other risk factors identified were: advanced age, black skin color, longer length of diabetes diagnosis, daytime sleepiness, macroalbuminuria, genetic polymorphisms, insulin therapy, use of oral antidiabetics, and use of metoclopramide, inadequate physical activity and low fasting glycemia.

Conclusions

risk factors for the diagnosis, risk for unstable blood glucose level, for persons with type 2 diabetes mellitus were identified, and 42% of them corresponded to those of NANDA International. These findings may contribute to the practice of clinical nurses in preventing the deleterious effects of glycemic variation.