How increased job demand affects nurses' task mastery and deviance in the pandemic era

偏差(统计) 规范性 心理学 正偏差 医疗保健 工作满意度 工作态度 大流行 压力源 社会心理学 工作表现 医学 2019年冠状病毒病(COVID-19) 临床心理学 疾病 政治学 计算机科学 病理 机器学习 传染病(医学专业) 法学
作者
Jinyi Zhou,Ke‐fu Zhang
出处
期刊:Journal of Advanced Nursing [Wiley]
卷期号:78 (8): 2349-2356 被引量:5
标识
DOI:10.1111/jan.15145
摘要

Although normative and ethical procedures are extremely critical for health care providers, during this unique time, when the pandemic suddenly increased job requirements and workloads, maintaining a morally appropriate working style became an increasingly difficult challenge for nurses. Few previous studies have examined whether these highly increased job demands influence nurses' resource condition, in turn affecting their deviance and task mastery.In the current study, we proposed a theoretical model examining whether nurses' job demands (the predictor) will affect task mastery and deviance (the outcomes) by increasing resource depletion.A multiwave field study of 172 nurses from two comprehensive hospitals was conducted to test the proposed theoretical model from April to August 2020. Descriptive statistics, confirmatory factor analyses, correlation coefficients and linear regressions were used to test the hypotheses.The results suggested that even though job demands may temporarily increase nurses' task mastery and decrease their organizational deviance, they ultimately have a negative influence since resource depletion acts as a side effect that suppresses the two direct effects.The theoretical contributions and practical implications of our findings were discussed. Specifically, we suggested that healthcare institutions should provide abundant support for nurses to supplement their resource reserves to avoid the risk of potential medical malpractice.Practically, this study tried to emphasize the important role of nurses' resource condition. Especially we aimed to remind managers and leaders cannot just improve nurses' job demand to deal with the public health crises. They also need to focus on their resource condition during pandemics.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
zfd发布了新的文献求助10
2秒前
汉堡包应助欣慰冬亦采纳,获得10
2秒前
Akim应助陆启明采纳,获得10
2秒前
Zz完成签到,获得积分10
2秒前
蓝色记忆发布了新的文献求助10
3秒前
橘子完成签到,获得积分10
3秒前
哭泣耷发布了新的文献求助10
3秒前
3秒前
yy完成签到,获得积分10
4秒前
4秒前
5秒前
熬夜通关中完成签到,获得积分10
6秒前
6秒前
7秒前
orixero应助考研小白采纳,获得10
7秒前
Devil完成签到 ,获得积分10
7秒前
烟花应助黄礼韬采纳,获得10
9秒前
谨慎大神完成签到,获得积分10
9秒前
I Think完成签到,获得积分10
9秒前
123完成签到,获得积分20
9秒前
9秒前
10秒前
Jasper应助cuijiawen采纳,获得10
10秒前
MYYY发布了新的文献求助10
10秒前
季一发布了新的文献求助30
11秒前
隐形的小蚂蚁完成签到,获得积分10
11秒前
11秒前
自觉从筠发布了新的文献求助10
11秒前
王聪聪发布了新的文献求助10
12秒前
taro完成签到 ,获得积分10
13秒前
13秒前
14秒前
自然冥茗发布了新的文献求助30
14秒前
zl12发布了新的文献求助10
15秒前
Doran_luffy完成签到,获得积分10
15秒前
欣慰冬亦发布了新的文献求助10
15秒前
月山完成签到,获得积分10
15秒前
XL神放完成签到 ,获得积分10
15秒前
震动的冰旋完成签到,获得积分10
15秒前
15秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Metallurgy at high pressures and high temperatures 2000
Tier 1 Checklists for Seismic Evaluation and Retrofit of Existing Buildings 1000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 1000
The Organic Chemistry of Biological Pathways Second Edition 1000
Free parameter models in liquid scintillation counting 1000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6331490
求助须知:如何正确求助?哪些是违规求助? 8147978
关于积分的说明 17098995
捐赠科研通 5387139
什么是DOI,文献DOI怎么找? 2856088
邀请新用户注册赠送积分活动 1833557
关于科研通互助平台的介绍 1684871