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急诊科护士倦怠与神经质的关系:网络分析。

Relationships Between Burnout and Neuroticism Among Emergency Department Nurses: A Network Analysis.

机构信息

Department of Nursing, Air Force Medical University, Xi'an, China.

Department of Nursing, Shaanxi University of Chinese Medicine, Xianyang, China.

出版信息

Nurs Open. 2024 Nov;11(11):e70067. doi: 10.1002/nop2.70067.

Abstract

AIM

Although neuroticism has a negative impact on burnout among healthcare workers, there is little research exploring the specific interactions between different components of burnout and neuroticism. This study aims to investigate this relationship among nurses in Emergency Departments (ED) through network analysis method (NAM).

DESIGN

A cross-sectional investigative survey was conducted.

METHODS

A total of 408 Chinese nurses were recruited from ED of five hospitals in 2023 through Questionnaire Star. Components of burnout were measured by the 15-item Maslach Burnout Inventory-General Survey (MBI-GS), while components of neuroticism were measured by a subscale of the Eysenck Personality Questionnaire-Revised, Short Scale for Chinese (EPQ-RSC) questionnaire. NAM was applied to build relationship between components of burnout and neuroticism and identify the bridge expected influence (BEI).

RESULTS

Within burnout-neuroticism network, the relations between the components of burnout and neuroticism were mainly positive. Nt5 ('Anxious')-EE1 ('Exhausted'; weight = 0.281) and Nt5 ('Anxious')-EE5 ('Breakdown'; weight = 0.280) had stronger connections. Among the neuroticism, Nt5 ('Anxious') showed the strongest positive BEI, while Nt12 ('Guilty') showed the strongest negative BEI. Feeling anxiety and less guilt conscience in neuroticism were the critical factors to impact burnout of nurses in ED. Awareness of these relationships can help to develop strategies to identify and curtail burnout.

PATIENT OR PUBLIC CONTRIBUTION

A total of 408 emergency nurses participated in this survey.

摘要

目的

虽然神经质对医护人员的 burnout 有负面影响,但很少有研究探索 burnout 的不同成分与神经质之间的具体相互作用。本研究旨在通过网络分析方法(NAM)研究急诊科护士中的这种关系。

设计

横断面调查研究。

方法

2023 年通过 Questionnaire Star 从五家医院的急诊科招募了 408 名中国护士。采用 15 项 Maslach 倦怠量表通用量表(MBI-GS)测量倦怠的组成部分,采用艾森克人格问卷修订版,中国短式(EPQ-RSC)问卷的一个分量表测量神经质的组成部分。应用 NAM 构建倦怠与神经质成分之间的关系,并确定预期影响的桥梁(BEI)。

结果

在倦怠-神经质网络中,倦怠成分与神经质之间的关系主要是正相关。Nt5('焦虑')-EE1('疲惫';权重=0.281)和 Nt5('焦虑')-EE5('崩溃';权重=0.280)之间的联系较强。在神经质中,Nt5('焦虑')表现出最强的正 BEI,而 Nt12('内疚')表现出最强的负 BEI。神经质中感到焦虑和内疚感较少是影响急诊科护士 burnout 的关键因素。了解这些关系有助于制定识别和遏制 burnout 的策略。

患者或公众贡献

共有 408 名急诊护士参与了这项调查。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/109e/11581133/c3214cee04ef/NOP2-11-e70067-g005.jpg

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