Dunn Heather, Quinn Laurie, Corbridge Susan J, Eldeirawi Kamal, Kapella Mary, Collins Eileen G
1 University of Illinois at Chicago, IL, USA.
West J Nurs Res. 2018 Nov;40(11):1658-1676. doi: 10.1177/0193945917707705. Epub 2017 May 16.
The use of cluster analysis in the nursing literature is limited to the creation of classifications of homogeneous groups and the discovery of new relationships. As such, it is important to provide clarity regarding its use and potential. The purpose of this article is to provide an introduction to distance-based, partitioning-based, and model-based cluster analysis methods commonly utilized in the nursing literature, provide a brief historical overview on the use of cluster analysis in nursing literature, and provide suggestions for future research. An electronic search included three bibliographic databases, PubMed, CINAHL and Web of Science. Key terms were cluster analysis and nursing. The use of cluster analysis in the nursing literature is increasing and expanding. The increased use of cluster analysis in the nursing literature is positioning this statistical method to result in insights that have the potential to change clinical practice.
聚类分析在护理文献中的应用仅限于创建同类群组的分类以及发现新的关系。因此,明确其用途和潜力很重要。本文的目的是介绍护理文献中常用的基于距离、基于划分和基于模型的聚类分析方法,简要概述聚类分析在护理文献中的应用历史,并为未来研究提供建议。一项电子检索纳入了三个文献数据库,即PubMed、护理学与健康领域数据库(CINAHL)和科学网(Web of Science)。检索关键词为聚类分析和护理。聚类分析在护理文献中的应用正在增加和扩展。护理文献中聚类分析使用的增加使这种统计方法有可能产生改变临床实践的见解。