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比较新冠疫情前及疫情期间,新冠肺炎对卡塔尔护士离职意愿的影响。

Comparing the Impact of COVID-19 on Nurses' Turnover Intentions before and during the Pandemic in Qatar.

作者信息

Nashwan Abdulqadir J, Abujaber Ahmad A, Villar Ralph C, Nazarene Ananth, Al-Jabry Mahmood M, Fradelos Evangelos C

机构信息

Department of Nursing, Hazm Mebaireek General Hospital (HMGH), Hamad Medical Corporation (HMC), Doha 3050, Qatar.

Faculty of Nursing, University of Calgary in Qatar (UCQ), Doha P.O. Box 23133, Qatar.

出版信息

J Pers Med. 2021 May 24;11(6):456. doi: 10.3390/jpm11060456.

Abstract

BACKGROUND

Although several studies examining nurses' turnover intentions have been conducted, few studies have been conducted to explore how COVID-19 contributes to nurses' turnover intentions. This study aims to compare nurses' turnover (TO) intentions before and during COVID-19.

METHODS

The cross-sectional study was conducted using the Turnover Intention Scale (TIS-6) and a convenience sample of participants from the largest healthcare provider in Qatar between August and September 2020.

RESULTS

A total of 512 nurses were included in the final analysis. The majority were between 31 and 40 years of age (61.5%), 67.6% were females, 76.4% were married, 79.7% had a BSN, 43% had less than 5 years of experience, and 60.4% had worked in COVID-19 designated facilities. The turnover intentions were higher compared with before COVID-19 ( < 0.01).

CONCLUSION

Nurses in Qatar have higher TO intentions during COVID-19. The participants' characteristics and stress levels are playing a major role in nurses' decision to leave during COVID-19. Understanding the factors that contribute to turnover intentions is crucial for workforce planning, especially during pandemics.

摘要

背景

尽管已经开展了多项关于护士离职意愿的研究,但很少有研究探讨新冠疫情如何影响护士的离职意愿。本研究旨在比较新冠疫情之前和期间护士的离职意愿。

方法

本横断面研究采用离职意愿量表(TIS-6),于2020年8月至9月对卡塔尔最大的医疗服务提供商的参与者进行便利抽样。

结果

最终分析纳入了512名护士。大多数护士年龄在31至40岁之间(61.5%),67.6%为女性,76.4%已婚,79.7%拥有护理学学士学位,43%工作经验少于5年,60.4%曾在新冠疫情指定设施工作。与新冠疫情之前相比,离职意愿更高(<0.01)。

结论

卡塔尔的护士在新冠疫情期间离职意愿更高。参与者的特征和压力水平在护士在新冠疫情期间离职的决定中起主要作用。了解导致离职意愿的因素对于劳动力规划至关重要,尤其是在疫情期间。

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