The experiences of mental health nurses working through COVID-19: an analysis of long-term support needs

Author:

Farrington Aoife1,King Marie1,Donohue Gráinne2,McCann Edward2

Affiliation:

1. St Patrick's Mental Health Services, Dublin, Ireland

2. Trinity Centre for Practice and Healthcare Innovation, School of Nursing and Midwifery, Trinity College Dublin, University of Dublin, Dublin, Ireland

Abstract

Background/Aims Throughout the global pandemic, nurses have had to deal with increased workloads, the fear of exposure to COVID-19 on top of risking their own health and that of their families. In mental health services, the challenge of providing care for distressed service users while managing identified personal experiences has been significant. The aim of this study was to explore mental health nurses' professional experiences of working through the global pandemic and how personal circumstances may have impacted on this. The objectives were to examine the consequences of working through the pandemic to identify future support needs. Methods This qualitative study used descriptive data from (n=161) responses received via a Qualtrics survey that was subjected to a thematic analysis. Results Following data analysis, four themes were identified: contamination; alienation; resilience; and existential shift. Conclusions Mental health nurses continue to prove their ability to adapt and operationalise change in a high intensity environment. However, there is an impact in having to manage personal safety, fears, personal circumstances and mental health in the long term. Strong and emotionally supportive leadership and individualised support is needed to help alleviate the long-term burden on mental health nurses.

Publisher

Mark Allen Group

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Mental health nurses' experience of resilience during COVID‐19: A qualitative inquiry;International Journal of Mental Health Nursing;2023-08-21

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3