Assessment of mental health status among Chinese nursing staff in the intensive care unit: a network analysis

Backgrounds: Nursing is the key group to provide healthcare services, and it is easy for nursing staff to develop mental health problems. Aims: The study aimed to evaluate prevalence of psychological symptoms in nurses working in an intensive care unit (ICU) and the inter-relationship of association...

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Veröffentlicht in:Journal of research in nursing 2023-06, Vol.28 (4), p.285-298
Hauptverfasser: Zeng, Liang-Nan, Cai, Hong, Gao, Fei, Guan, Bi, Chen, Wen-Jin, He, Wei, Peng, Tang-Ming, Li, Xiao-Peng, Li, Yan, Kung, Sui Sum, Wang, Xiao-Meng, Liu, Wei, Zhao, Di, Yan, Shu
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container_end_page 298
container_issue 4
container_start_page 285
container_title Journal of research in nursing
container_volume 28
creator Zeng, Liang-Nan
Cai, Hong
Gao, Fei
Guan, Bi
Chen, Wen-Jin
He, Wei
Peng, Tang-Ming
Li, Xiao-Peng
Li, Yan
Kung, Sui Sum
Wang, Xiao-Meng
Liu, Wei
Zhao, Di
Yan, Shu
description Backgrounds: Nursing is the key group to provide healthcare services, and it is easy for nursing staff to develop mental health problems. Aims: The study aimed to evaluate prevalence of psychological symptoms in nurses working in an intensive care unit (ICU) and the inter-relationship of associations of psychological symptoms using network analysis. Methods: This study is a cross-sectional design study. The Chinese version of the Symptom Check List-90 (SCL-90) was used to measure the psychological status of ICU nurses. The network structure of psychological symptoms was characterised, and indices of ‘Expected influence’ were used to identify symptoms central to the network. Network stability was examined using a case-dropping bootstrap procedure. Results: Multiple logistic regression analysis found those who had worked more than 15 years were less likely to experience positive psychological symptoms, whereas nurses working in emergency ICU and other ICUs, nurses working in departments with over 16 beds were more likely to develop psychological symptoms. In addition, ‘Anxiety’, ‘Mental degeneration’ and ‘Depression’ were central symptoms in the network. Conclusions: ICU nurses reported a high level of psychological symptoms, which may affect the quality of their work and worsen public health problems.
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Aims: The study aimed to evaluate prevalence of psychological symptoms in nurses working in an intensive care unit (ICU) and the inter-relationship of associations of psychological symptoms using network analysis. Methods: This study is a cross-sectional design study. The Chinese version of the Symptom Check List-90 (SCL-90) was used to measure the psychological status of ICU nurses. The network structure of psychological symptoms was characterised, and indices of ‘Expected influence’ were used to identify symptoms central to the network. Network stability was examined using a case-dropping bootstrap procedure. Results: Multiple logistic regression analysis found those who had worked more than 15 years were less likely to experience positive psychological symptoms, whereas nurses working in emergency ICU and other ICUs, nurses working in departments with over 16 beds were more likely to develop psychological symptoms. 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title Assessment of mental health status among Chinese nursing staff in the intensive care unit: a network analysis
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