Factors influencing nurses’ post-traumatic growth during the COVID-19 pandemic: Bayesian network analysis

Frontiers in Psychiatry

Psychiatry

Xi Yao¹  Yingrui Yang¹  Hongmei Zhang²  Junyi Wang³ 

[1] Henan Eye Institute, Henan Eye Hospital, and Henan Key Laboratory of Ophthalmology and Visual Science, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, People’s Hospital of Henan University, Zhengzhou, Henan, China;Nursing Department, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, People’s Hospital of Henan University, Zhengzhou, Henan, China;Office of Teaching and Graduate Management, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China;

关键词: post-traumatic growth;    COVID-19;    nurses;    influence factors;    Bayesian network;   

DOI  :  10.3389/fpsyt.2023.1163956

 received in 2023-02-11, accepted in 2023-08-08,  发布年份 2023

来源: Frontiers

【 摘 要 】

ObjectiveDuring the COVID-19 pandemic, nurses, especially if females and working in intensive care units or emergencies unit, were much more at risk than other health-workers categories to develop malaise and acute stress symptoms. This study aimed to examine the nurses’ post-traumatic growth and associated influencing factors during the COVID-19 pandemic.MethodsA cross-sectional study using an online survey was conducted at Henan Provincial People’s Hospital to gather data from nurses. A set of questionnaires was used to measure the participants’ professional identity, organizational support, psychological resilience and post-traumatic growth. Univariate, correlation, and multiple linear regression analyses were used to determine significant factors influencing post-traumatic growth. A theoretical framework based on the Bayesian network was constructed to understand post-traumatic growth and its associated factors comprehensively.ResultsIn total, 1,512 nurses participated in the study, and a moderate-to-high level of post-traumatic growth was reported. After screening, the identified variables, including psychological counseling, average daily working hours, average daily sleep duration, professional identity, organizational support, and psychological resilience, were selected to build a Bayesian network model. The results of Bayesian network showed that professional identity and psychological resilience positively affected post-traumatic growth directly, which was particularly pronounced in low- and high-scoring groups. While organizational support positively affected post-traumatic growth indirectly.ConclusionAlthough this study identified a moderate-to-high level of nurses’ post-traumatic growth, proactive measures to improve psychological resilience fostered by professional identity and organizational support should be prioritized by hospitals and nursing managers.

【 授权许可】

Unknown   
Copyright © 2023 Yao, Wang, Yang and Zhang.