Wang Yanchi, Sha Sha, Lu Xiangjun, Gu Jian
Affiliated Nantong Hospital of Shanghai University (The Sixth People's Hospital of Nantong), Nantong, Jiangsu, 226011, China.
Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
BMC Nurs. 2025 Jul 1;24(1):735. doi: 10.1186/s12912-025-03409-x.
Intensive Care Unit (ICU) nurses experience significant psychological distress due to the high-stakes and high-intensity nature of their work environments. This study aims to explore the differences in emotional symptom networks between tertiary-A and tertiary-B hospital ICU nurses using network analysis to identify central symptoms and inform targeted interventions.
A total of 498 ICU nurses were divided into two groups based on hospital level: the tertiary-A hospital group (n = 174) and the tertiary-B hospital group (n = 324). Mood states were measured using the Profile of Mood States-Short Form (POMS-SF). Network analysis was employed to estimate and compare the symptom networks between the two groups, identify central symptoms that link distinct symptom clusters, and conduct network comparison tests to assess differences in overall and local network structures.
In the tertiary-A hospital group, the most prominent symptoms were POMS4 (Depression-Dejection), POMS1 (Tension-Anxiety), and POMS2 (Anger-Hostility), with the expected influence value indicating that POMS4 (Depression-Dejection) was the most significant. In the tertiary-B hospital group, the most significant central symptoms were POMS1 (Tension-Anxiety), POMS2 (Anger-Hostility), and POMS4 (Depression-Dejection), where POMS1 (Tension-Anxiety) had the highest expected influence value. The network comparison test revealed significant differences in the network invariance test (M = 0.345, P = 0.003) and the Global expected influence invariance test (S = 0.173, P = 0.020).
This study identifies distinct emotional symptom networks in ICU nurses across tertiary-A and tertiary-B hospitals, with depression-dejection (POMS4) central in tertiary-A hospitals and tension-anxiety (POMS1) more prominent in tertiary-B hospitals. These findings highlight the need for tailored interventions and hospital-tier-specific mental health support to address the unique emotional challenges faced by ICU nurses, ultimately improving nurse well-being and patient care quality.
Not applicable.
重症监护病房（ICU）护士因其工作环境的高风险和高强度性质而经历显著的心理困扰。本研究旨在利用网络分析来识别核心症状并为有针对性的干预提供信息，以探讨三级甲等医院和三级乙等医院ICU护士的情绪症状网络差异。
共有498名ICU护士根据医院级别分为两组：三级甲等医院组（n = 174）和三级乙等医院组（n = 324）。使用简式情绪状态量表（POMS-SF）测量情绪状态。采用网络分析来估计和比较两组之间的症状网络，识别连接不同症状簇的核心症状，并进行网络比较测试以评估整体和局部网络结构的差异。
在三级甲等医院组中，最突出的症状是POMS4（抑郁-沮丧）、POMS1（紧张-焦虑）和POMS2（愤怒-敌意），预期影响值表明POMS4（抑郁-沮丧）最为显著。在三级乙等医院组中，最显著的核心症状是POMS1（紧张-焦虑）、POMS2（愤怒-敌意）和POMS4（抑郁-沮丧），其中POMS1（紧张-焦虑）的预期影响值最高。网络比较测试显示，网络不变性测试（M = 0.345，P = 0.003）和全局预期影响不变性测试（S = 0.173，P = 0.020）存在显著差异。
本研究识别出三级甲等医院和三级乙等医院ICU护士中不同的情绪症状网络，抑郁-沮丧（POMS4）在三级甲等医院中处于核心地位，紧张-焦虑（POMS1）在三级乙等医院中更为突出。这些发现凸显了需要针对不同层级医院的ICU护士所面临的独特情绪挑战进行量身定制的干预措施和特定层级医院的心理健康支持，最终改善护士的幸福感和患者护理质量。
不适用。
