Wang Zhiwei, Liang Qian, Yan Zeping, Liu Jian, Liu Mengqi, Wang Xiaoli, Wang Jiurui, Huang Junting, Luan Xiaorong
School of Nursing and Rehabilitation, Qilu Hospital, Shandong University, Shandong, China.
University of Health and Rehabilitation Sciences, Shandong, China.
BMC Nurs. 2023 Feb 25;22(1):54. doi: 10.1186/s12912-023-01216-w.
Compared to other healthcare workers, nurses are more vulnerable to the potentially devastating effects of pandemic-related stressors. Studies have not yet investigated the deeper characteristics of the relationship between team resilience and team performance among nurses during the COVID-19 pandemic. This study aimed to elucidate the characteristics of team resilience and performance networks among nurses during the pandemic.
A cross-sectional study involving 118 nursing teams comprising 1627 practice nurses from four tertiary-A and secondary-A hospitals in Shandong Province, China, was conducted. Analyzing and Developing Adaptability and Performance in Teams to Enhance Resilience Scale and the Team Effectiveness Scale were used to measure team resilience and performance, respectively. The estimation of the network model and calculation of related metrics, network stability and accuracy, and network comparison tests were performed using R 4.0.2.
Node monitoring had the highest centralities in the team resilience and performance network model, followed by node anticipation, cooperation satisfaction, and cooperation with other departments. Moreover, node cooperation satisfaction and learning had the highest levels of bridge centrality in the entire network.
Monitoring, anticipation, cooperation satisfaction, cooperation with other departments, and learning constituted core variables maintaining the team resilience-performance network structure of nurses during the pandemic. Clinical interventions targeting core variables may be effective in maintaining or promoting both team resilience and performance in this population.
与其他医护人员相比，护士更容易受到疫情相关压力源的潜在破坏性影响。目前尚无研究调查新冠疫情期间护士团队复原力与团队绩效之间关系的深层特征。本研究旨在阐明疫情期间护士团队复原力和绩效网络的特征。
在中国山东省的四家三甲和二甲医院开展了一项横断面研究，涉及118个护理团队，共1627名执业护士。分别使用《团队适应性与绩效分析及发展以增强复原力量表》和《团队效能量表》来测量团队复原力和绩效。使用R 4.0.2进行网络模型估计、相关指标计算、网络稳定性和准确性以及网络比较测试。
在团队复原力和绩效网络模型中，节点监测的中心性最高，其次是节点预期、合作满意度以及与其他部门的合作。此外，节点合作满意度和学习在整个网络中的桥接中心性水平最高。
监测、预期、合作满意度、与其他部门的合作以及学习构成了疫情期间维持护士团队复原力-绩效网络结构的核心变量。针对核心变量的临床干预可能对维持或提升该人群的团队复原力和绩效有效。
