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临床护士心理健康的相关因素:一项应用社会生态模型的定性研究

Factors associated with clinical nurse's mental health: a qualitative study applying the social ecological model.

作者信息

Yu Qiang, Huang Chongmei, Tian Yusheng, Yang Jiaxin, Li Xuting, Ning Meng, Chen Zengyu, Du Jie, He Jiaqing, Li Yamin

机构信息

Clinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, China.

School of Nursing, Ningxia Medical University, Yinchuan, China.

出版信息

BMC Nurs. 2024 May 16;23(1):330. doi: 10.1186/s12912-024-02005-9.


DOI:10.1186/s12912-024-02005-9
PMID:38755588
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11097552/
Abstract

BACKGROUND: The prevalence of burnout, depression, and anxiety among Chinese nurses was 34%, 55.5%, and 41.8% respectively. Mental health problems have significant impacts on their personal well-being, work performance, patient care quality, and the overall healthcare system. Mental health is influenced by factors at multiple levels and their interactions. METHODS: This was a descriptive qualitative study using phenomenological approach. We recruited a total of 48 nurses from a tertiary hospital in Changsha, Hunan Province, China. Data were collected through focus group interviews. Audio-recorded data were transcribed and inductively analysed. RESULTS: Four major themes with 13 subthemes were identified according to the social ecological model: (1) individual-level factors, including personality traits, sleep quality, workplace adaptability, and years of work experience; (2) interpersonal-level factors, encompassing interpersonal support and role conflict; (3) organization-level factors, such as organizational climate, organizational support, career plateau, and job control; and (4) social-level factors, which included compensation packages, social status, and legislative provision and policy. CONCLUSIONS: Our study provides a nuanced understanding of the multifaceted factors influencing nurses' mental health. Recognizing the interconnectedness of individual, interpersonal, organizational, and social elements is essential for developing targeted interventions and comprehensive strategies to promote and safeguard the mental well-being of nurses in clinical settings. TRIAL AND PROTOCOL REGISTRATION: The larger study was registered with Chinese Clinical Trial Registry: ChiCTR2300072142 (05/06/2023) https://www.chictr.org.cn/showproj.html?proj=192676 . REPORTING METHOD: This study is reported according to the Consolidated Criteria for Reporting Qualitative Research (COREQ).

摘要

背景:中国护士职业倦怠、抑郁和焦虑的发生率分别为34%、55.5%和41.8%。心理健康问题对护士的个人幸福感、工作表现、患者护理质量以及整个医疗系统都有重大影响。心理健康受到多个层面因素及其相互作用的影响。 方法:这是一项采用现象学方法的描述性定性研究。我们从中国湖南省长沙市的一家三级医院共招募了48名护士。通过焦点小组访谈收集数据。对录音数据进行转录并进行归纳分析。 结果:根据社会生态模型确定了四个主要主题和13个子主题:(1)个人层面因素,包括人格特质、睡眠质量、工作场所适应性和工作年限;(2)人际层面因素,包括人际支持和角色冲突;(3)组织层面因素,如组织氛围、组织支持、职业发展停滞和工作控制;(4)社会层面因素,包括薪酬待遇、社会地位以及立法规定和政策。 结论:我们的研究对影响护士心理健康的多方面因素提供了细致入微的理解。认识到个人、人际、组织和社会因素之间的相互联系对于制定有针对性的干预措施和全面战略以促进和保障临床环境中护士的心理健康至关重要。 试验和方案注册:更大规模的研究已在中国临床试验注册中心注册:ChiCTR2300072142(2023年6月5日)https://www.chictr.org.cn/showproj.html?proj=192676 。 报告方法:本研究按照定性研究报告统一标准(COREQ)进行报告。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6ba/11097552/c50cb4355060/12912_2024_2005_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6ba/11097552/c50cb4355060/12912_2024_2005_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6ba/11097552/c50cb4355060/12912_2024_2005_Fig1_HTML.jpg

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本文引用的文献

[1]
The other side of COVID-19: A cross-sectional study on mental health in a sample of Italian nurses during the second wave.

Front Psychiatry. 2023-3-1

[2]
Mental health status of mental health nurses in China: Results from a national survey.

J Psychiatr Ment Health Nurs. 2023-6

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Lancet Reg Health West Pac. 2023-1

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Int Nurs Rev. 2022-12

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Int J Environ Res Public Health. 2021-7-23

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Compr Psychiatry. 2020-8-12

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Asian Nurs Res (Korean Soc Nurs Sci). 2020-8

[9]
Psychological distress, coping behaviors, and preferences for support among New York healthcare workers during the COVID-19 pandemic.

Gen Hosp Psychiatry. 2020-6-16

[10]
Social support and mental health among health care workers during Coronavirus Disease 2019 outbreak: A moderated mediation model.

PLoS One. 2020-5-29

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