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Social network analysis: Understanding nurses' advice-seeking interactions
Filiz Kantek1, Hande Yesilbas2, Nezaket Yildirim3
1Professor, Department of Nursing Management, Faculty of Nursing, Akdeniz University, Antalya, 07070, Turkey.
International Nursing Review
|May 11, 2022
Summary
Social network analysis revealed key advice-seeking patterns among nurses. Nursing managers, especially those with higher education, significantly strengthen these professional networks.
Area of Science:
- Nursing
- Social Network Analysis
- Healthcare Management
Background:
- Understanding advice-seeking behaviors is crucial for effective nursing practice and collaboration.
- Social network analysis (SNA) offers a quantitative approach to map professional relationships.
Purpose of the Study:
- To analyze advice-seeking interactions among nurses in a private hospital setting.
- To identify key influencers and network structures within nursing staff.
Main Methods:
- Cross-sectional descriptive study involving 70 nurses.
- Data collected via a social network analysis questionnaire.
- Analysis of network density, components, degree centrality, and betweenness centrality using UCINET and SPSS.
Main Results:
- Network density was 0.062, with three distinct components identified.
- Nurse Y1 exhibited the highest degree and betweenness centrality.
- Education, department, and position were significant factors influencing degree centrality.
Conclusions:
- Social network analysis is effective for mapping strengths and weaknesses in nurse advice-seeking relationships.
- Nursing managers play a pivotal role in advice-seeking networks.
- Enhancing the educational qualifications of nursing managers can improve network dynamics.
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