Disaster Preparedness and Associated Factors Among Emergency Nurses in Guangdong Province, China: A Descriptive Cross-Sectional Study

应急管理 准备 备灾 医疗急救 横断面研究 医学 描述性统计 中国大陆 自杀预防 职业安全与健康 毒物控制 人为因素与人体工程学 护理部 中国 地理 政治学 统计 数学 考古 病理 法学
作者
Jia Wang,Xinglan Sun,Sihui Lu,Fen Wang,Meijuan Wan,Hanxi Chen,Yibing Tan
出处
期刊:Disaster Medicine and Public Health Preparedness [Cambridge University Press]
卷期号:17 被引量:11
标识
DOI:10.1017/dmp.2021.327
摘要

The purpose of this study was to examine the prevalence of disaster preparedness and to explore associated factors among emergency nurses in Guangdong Province, China.In this descriptive, cross-sectional study, the mainland China version of the Disaster Preparedness Evaluation Tool was used to collect data from 633 nurses working in 26 emergency departments, in August 2018. Descriptive analyses were used to examine the disaster preparedness, and multiple linear regression analysis was used to investigate associated factors.The perceived disaster preparedness of emergency nurses was at a moderate level. Among the 5 dimensions, the score for disaster management was lowest. Emergency nurses' disaster training (r = .26; P < 0.001) and drill experiences (r = .22; P < 0.001) were significantly correlated with disaster preparedness. Six significant factors associated with disaster preparedness were identified in this study: age, gender, disaster training experience, disaster drill experience, willingness, and educational level (R2 = .14; F = 18.20; P < 0.001).Hospitals and nurse managers should carry out interdisciplinary and multidisciplinary cooperation to improve emergency nurses' disaster preparedness, especially disaster management. Organizing disaster simulation exercises, providing psychological support and safety considerations, and formulating disaster nursing training programs may be beneficial for emergency nurses' disaster preparedness.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
1秒前
鱼鱼子999完成签到,获得积分10
1秒前
沈星星完成签到,获得积分10
1秒前
肥肉叉烧完成签到,获得积分10
2秒前
woxue完成签到,获得积分10
2秒前
3秒前
研友_VZG7GZ应助苦哈哈采纳,获得10
3秒前
4秒前
xiaoGuo应助ZHAO采纳,获得10
4秒前
4秒前
4秒前
5秒前
zch曹县66发布了新的文献求助10
6秒前
立志天天看文献完成签到,获得积分20
6秒前
6秒前
6秒前
6秒前
科研通AI2S应助小鱼采纳,获得10
7秒前
小AB发布了新的文献求助10
7秒前
8秒前
kame完成签到 ,获得积分10
8秒前
相齐完成签到,获得积分10
8秒前
AIR发布了新的文献求助10
9秒前
科研通AI2S应助温柔寄文采纳,获得10
9秒前
852应助sjk采纳,获得10
9秒前
hongjie_w发布了新的文献求助10
9秒前
风中的宛白应助ntrip采纳,获得10
10秒前
Cy发布了新的文献求助10
10秒前
刻苦幻梅发布了新的文献求助10
10秒前
大虫子发布了新的文献求助10
10秒前
11秒前
个别完成签到,获得积分10
11秒前
小点点发布了新的文献求助10
12秒前
13秒前
淡然夜白完成签到,获得积分10
13秒前
怡然铃铛发布了新的文献求助10
14秒前
14秒前
Ava应助lgd2021采纳,获得10
15秒前
15秒前
务实的数据线应助破晓采纳,获得10
15秒前
高分求助中
Sustainability in Tides Chemistry 2800
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
Le dégorgement réflexe des Acridiens 800
Defense against predation 800
Very-high-order BVD Schemes Using β-variable THINC Method 568
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3135885
求助须知:如何正确求助?哪些是违规求助? 2786652
关于积分的说明 7778992
捐赠科研通 2442900
什么是DOI,文献DOI怎么找? 1298731
科研通“疑难数据库(出版商)”最低求助积分说明 625219
版权声明 600870