使用网络分析识别三个重症监护病房的护理诊断模式。
Identifying Nursing Diagnosis Patterns in Three Intensive Care Units Using Network Analysis.
作者信息
Moon Mikyung
机构信息
College of Nursing, The Research Institute of Nursing Science, Kyungpook National University, Daegu, South Korea.
出版信息
Int J Nurs Knowl. 2019 Jul;30(3):137-146. doi: 10.1111/2047-3095.12226. Epub 2018 Oct 14.
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.
目的
本研究旨在运用网络分析方法，分析三种不同类型重症监护病房（ICU）中使用的护理诊断模式。
方法
利用582例患者的临床数据集进行二次分析。进行了频率、度数/中间中心性和亚组分析。
结果与结论
研究结果揭示了具有高中心性和高频率的核心护理诊断。中心性分析确定了每个ICU之间的差异和独特特征。亚组分析揭示了与ICU患者所接受的特定护理相关的护理问题组。
对护理实践的启示
这些结果为帮助ICU护士在护理诊断方面迅速做出决策提供了知识库。
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