Correlates of turnover intention among nursing staff in the COVID-19 pandemic: a systematic review

Author:

Tolksdorf Katharina Herta,Tischler Ulla,Heinrichs Katherina

Abstract

Abstract Background During the COVID-19 pandemic, shortage of nursing staff became even more evident. Nurses experienced great strain, putting them at risk to leave their jobs. Individual and organizational factors were known to be associated with nurses’ turnover intention before the pandemic. The knowledge of factors associated with turnover intention during the pandemic could help to foster nurses’ retention. Therefore, this review aims to identify factors associated with nurses’ turnover intention during the COVID-19 pandemic. Methods After a systematic search of six databases, the resulting records were screened in a two-step process based on pre-defined inclusion and exclusion criteria. The included quantitative studies were synthesized qualitatively due to their methodological heterogeneity. Results A total of 19 articles were included in the analysis. Individual factors such as health factors or psychological symptoms and demographic characteristics were associated with nurses’ turnover intention. Organizational factors associated with turnover intention were e.g., caring for COVID-19 patients, low job control or high job demands, and moral distress. Resilience and supporting leadership could mitigate adverse associations with turnover intention. Conclusions The results help to identify high-risk groups according to individual factors and to develop possible interventions, such as trainings for nurses and their superiors, addressing individual and organizational factors. Future research should focus on longitudinal designs applying carefully defined concepts of turnover intention.

Funder

Charité - Universitätsmedizin Berlin

Publisher

Springer Science and Business Media LLC

Subject

General Nursing

Reference82 articles.

1. WHO. WHO Director-General's opening remarks at the media briefing on COVID-19 - 11 March 2020. 2020. Available from: https://www.who.int/director-general/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---11-march-2020.

2. WHO. State of the world's nursing 2020: investing in education, jobs and leadership. 2020. Available from: https://apps.who.int/iris/bitstream/handle/10665/331677/9789240003279-eng.pdf?sequence=1&isAllowed=y.

3. OECD. Beyond containment: Health systems responses to COVID-19 in the OECD. 2020. Available from: https://www.oecd-ilibrary.org/content/paper/6ab740c0-en.

4. Rollison S, Horvath C, Gardner B, McAuliffe M, Benson A. Redeployment of Certified Registered Nurse Anesthetists During the Coronavirus Disease 2019 Pandemic. AANA J. 2021;89(2):133–40.

5. Zamanzadeh V, Valizadeh L, Khajehgoodari M, Bagheriyeh F. Nurses’ experiences during the COVID-19 pandemic in Iran: a qualitative study. BMC Nurs. 2021;20:9. https://doi.org/10.1186/s12912-021-00722-z.

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