亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Factors associated with work engagement of nurses during the fifth wave of the COVID-19 pandemic in Japan: Web-based cross-sectional study (Preprint)

工作投入 大流行 横断面研究 2019年冠状病毒病(COVID-19) 心理健康 政府(语言学) 心理学 护理部 工作满意度 比例(比率) 医学 工作(物理) 家庭医学 精神科 社会心理学 地理 内科学 传染病(医学专业) 机械工程 疾病 病理 工程类 语言学 哲学 地图学
作者
Kei Muroi,Mami Ishitsuka,Tomoko Hachisuka,Itsuka Shibata,Takuma Ikeda,Daisuke Hori,Shotaro Doki,Tsukasa Takahashi,Shinichiro Sasahara,Ichiyo Matsuzaki
出处
期刊:JMIR formative research [JMIR Publications Inc.]
卷期号:7: e45830-e45830 被引量:1
标识
DOI:10.2196/45830
摘要

The COVID-19 pandemic has brought to light the prevalence of mental health issues among nurses. Work engagement (WE) is a concept that describes work-related positive psychological states and is of importance within mental health measures. There is, however, a lack of research on factors associated with the WE of nurses during the COVID-19 pandemic.We aimed to determine which factors are associated with WE among nurses during the COVID-19 pandemic using the job demands-resources (JD-R) model as a framework.A web-based cross-sectional survey was conducted among nurses working in acute care and psychiatric institutions in the prefectures of Chiba and Tokyo in Japan. The survey period occurred between August 8 and September 30, 2021, during a time when the number of patients with a positive COVID-19 infection increased. The 3-item version of the Utrecht Work Engagement Scale (UWES-3) was used to measure WE. Factors such as age, gender, years of experience, affiliated ward, COVID-19-related stress, financial rewards from the government and hospital, encouragement from the government and patients, and workplace social capital were assessed. A total of 187 participants were included in the final analysis. Multiple regression analysis was performed to examine the factors related to WE. Partial regression coefficients (B), 95% CI, and P values were calculated.The mean overall score for the UWES-3 was 3.19 (SD 1.21). Factors negatively associated with UWES-3 were COVID-19-related stress on work motivation and escape behavior (Β -0.16, 95% CI -0.24 to -0.090; P<.001), and factors positively associated with UWES-3 were affiliation of intensive care units (Β 0.76, 95% CI 0.020-1.50; P=.045) and financial rewards from the government and hospital (Β 0.40, 95% CI 0.040-0.76; P=.03).This study examined factors related to WE among nurses during the COVID-19 pandemic using the JD-R model. When compared with findings from previous studies, our results suggest that nurses' WE was lower than before the COVID-19 pandemic. Negative motivation and escape behaviors related to COVID-19 were negatively associated with WE, while there were positive associations with financial rewards from the government and hospital and affiliation with an intensive care unit. Further research into larger populations is needed to confirm these findings.

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
冷傲的夜白完成签到,获得积分10
2秒前
2秒前
0_O给喂我的求助进行了留言
3秒前
PennPeak发布了新的文献求助10
4秒前
清爽的天川完成签到,获得积分10
4秒前
5秒前
6秒前
8秒前
dsjlove发布了新的文献求助20
10秒前
cxk发布了新的文献求助10
13秒前
21秒前
23秒前
cxk关闭了cxk的文献求助
24秒前
24秒前
dsjlove发布了新的文献求助10
28秒前
28秒前
28秒前
十一完成签到,获得积分10
32秒前
健壮的从寒完成签到,获得积分10
35秒前
幽默赛君完成签到 ,获得积分10
51秒前
52秒前
kaio_escolar的应助被科研通管家采纳,获得10
52秒前
传奇3的应助被科研通管家采纳,获得10
52秒前
酷波er的应助被dsjlove采纳,获得10
58秒前
1分钟前
1分钟前
zzq发布了新的文献求助10
1分钟前
无情的聪健的应助被zzq采纳,获得20
1分钟前
欢呼的兰完成签到,获得积分10
1分钟前
1分钟前
仰勒完成签到 ,获得积分10
1分钟前
1分钟前
gly发布了新的文献求助10
1分钟前
molihuakai的应助被明理的夜南采纳,获得10
1分钟前
1分钟前
SCI又中了发布了新的文献求助10
1分钟前
悦耳的过客完成签到,获得积分20
1分钟前
林曦完成签到,获得积分10
1分钟前
1分钟前
light完成签到,获得积分10
1分钟前
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
Les Mantodea De Guyane 2000
Energie-Contracting 1500
Klimaschutzrecht durch den Energiesektor im Mehrebenensystem – Ein Rechtsvergleich 1000
Stochastic Models in Operations Research,Vol. 2 600
Guidelines for fracture-safe and fatigue-reliable design of steel structures 600
Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8023531
求助须知:如何正确求助?哪些是违规求助? 9466069
关于积分的说明 21216051
捐赠科研通 7593848
什么是DOI,文献DOI怎么找? 3386994
关于科研通互助平台的介绍 2519528
邀请新用户注册赠送积分活动 2422806