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Collaborative Networks in Critical Care Nursing Teams: Based on Social Network Analysis and Multiple Regression
Jiaqi Shi1,2, Qingxia Quan1, Kaili Ye1
1Department of Intensive Care Unit, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325015, China, wzhospital.cn.
Journal of Nursing Management
|June 18, 2026
Summary
Intensive care unit (ICU) nurse collaboration varies by task, with work assignment proximity being a key driver. Optimizing team proximity and psychological safety can improve care quality.
Area of Science:
- Nursing Science
- Healthcare Management
- Organizational Behavior
Background:
- Effective intensive care unit (ICU) nurse collaboration is vital for patient safety.
- Traditional analyses often overlook relational dependencies in teamwork.
Purpose of the Study:
- Delineate task-specific collaboration structures in ICUs.
- Identify pair-level determinants of nurse collaboration using network-aware methodologies.
Main Methods:
- Cross-sectional study in a tertiary ICU with 96 registered nurses.
- Collaboration defined as coparticipation in clinical events across four task types.
- Network analysis and MRQAP (Stochastic Actor-Oriented Model) used to analyze collaboration determinants.
Main Results:
- Distinct collaboration topologies observed: compact clustering in emergent care, hub-and-spoke in procedural care.
- Work assignment proximity was the strongest predictor of collaboration (β=0.314, p<0.001).
- Psychological safety similarity (β=0.176, p=0.004) and competency complementarity (β=0.142, p=0.021) also significantly predicted collaboration.
Conclusions:
- ICU nurse collaboration is multidimensional and task-dependent.
- Managerial strategies should focus on optimizing spatial proximity through roster design.
- Fostering psychological safety and developing complementary competencies are crucial for enhancing team resilience and care quality.
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