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新冠疫情期间影响护士创伤后成长的因素:贝叶斯网络分析

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

作者信息

Yao Xi, Wang Junyi, Yang Yingrui, Zhang Hongmei

机构信息

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.

Office of Teaching and Graduate Management, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.

出版信息

Front Psychiatry. 2023 Aug 23;14:1163956. doi: 10.3389/fpsyt.2023.1163956. eCollection 2023.

DOI:10.3389/fpsyt.2023.1163956
PMID:37680448
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10482097/
Abstract

OBJECTIVE

During 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.

METHODS

A 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.

RESULTS

In 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.

CONCLUSION

Although 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.

摘要

目的

在新冠疫情期间,护士,尤其是女性护士以及在重症监护病房或急诊科工作的护士,比其他医护人员更容易出现不适和急性应激症状。本研究旨在探讨新冠疫情期间护士的创伤后成长及相关影响因素。

方法

在河南省人民医院采用在线调查的横断面研究方法收集护士数据。使用一组问卷来测量参与者的职业认同、组织支持、心理韧性和创伤后成长。采用单因素分析、相关性分析和多元线性回归分析来确定影响创伤后成长的显著因素。构建基于贝叶斯网络的理论框架以全面了解创伤后成长及其相关因素。

结果

共有1512名护士参与研究,报告显示创伤后成长处于中高水平。筛选后,选取包括心理咨询、平均每日工作时长、平均每日睡眠时间、职业认同、组织支持和心理韧性等确定变量构建贝叶斯网络模型。贝叶斯网络结果显示,职业认同和心理韧性直接对创伤后成长产生积极影响,在低分和高分群体中尤为明显。而组织支持则间接对创伤后成长产生积极影响。

结论

尽管本研究发现护士的创伤后成长处于中高水平,但医院和护理管理者应优先采取积极措施,通过职业认同和组织支持来提高心理韧性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08b6/10482097/258208472682/fpsyt-14-1163956-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08b6/10482097/258208472682/fpsyt-14-1163956-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08b6/10482097/258208472682/fpsyt-14-1163956-g001.jpg

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Occupational Stress and Insomnia Symptoms Among Nurses During the Outbreak of COVID-19 in China: The Chain Mediating Effect of Perceived Organizational Support and Psychological Capital.中国新冠疫情期间护士的职业压力与失眠症状:感知组织支持和心理资本的链式中介作用
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