Professor, Department of Nursing Management, Faculty of Nursing, Akdeniz University, Antalya, 07070, Turkey.
Nurse Supervisor, VM Medical Park Kocaeli Hospital, Kocaeli, 41140, Turkey.
Int Nurs Rev. 2023 Sep;70(3):322-328. doi: 10.1111/inr.12763. Epub 2022 May 11.
This study aimed to determine advice-seeking interactions of nurses in a private hospital by using social network analysis.
This study was designed as a cross-sectional descriptive study.
The study was conducted in a private hospital with 70 nurses. The data were collected with a social network analysis questionnaire. The social network analysis (SNA) focused on certain values such as network density, component, degree centrality, and betweenness centrality. The SNA was carried out using UCINET, and statistical analyses were performed with SPSS version 23.0.
The network density was reported to be 0.062, and it was composed of three components. It was further noted that nurse Y1 was found to have the highest scores of degree and betweenness centrality. Chi-Square Automatic Interaction Detector (CHAID) analysis indicated that the most common variables that affected degree centrality score were education, department, and position.
It was concluded that social network analysis was a useful instrument to delineate strengths and weaknesses of seeking advice relationships among nurses.
Top- and middle-level nursing managers occupy a significant position in advice-seeking networks. Nursing managers with higher education degrees will absolutely improve advice-seeking networks.
本研究旨在通过社会网络分析来确定私立医院护士的咨询互动情况。
本研究设计为横断面描述性研究。
该研究在一家拥有 70 名护士的私立医院进行。使用社会网络分析问卷收集数据。社会网络分析（SNA）侧重于网络密度、组成、度数中心度和中间中心度等特定值。SNA 使用 UCINET 进行，统计分析使用 SPSS 版本 23.0 进行。
报告的网络密度为 0.062，由三个组成部分组成。进一步指出，护士 Y1 的度数和中间中心度得分最高。卡方自动交互检测（CHAID）分析表明，影响度数中心度得分的最常见变量是教育程度、部门和职位。
社会网络分析是一种有用的工具，可以描绘护士寻求咨询关系的优势和劣势。
高层和中层护理管理人员在寻求咨询的网络中占据重要地位。具有较高学历的护理管理人员肯定会改善寻求咨询的网络。
