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 考古 法学 病理 统计 数学
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: e65-e65 被引量:20
标识
DOI:10.1017/dmp.2021.327
摘要

ABSTRACT Objective: 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. Methods: 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. Results: 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 ( R 2 = .14; F = 18.20; P < 0.001). Conclusions: 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
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
思源应助天真玲采纳,获得10
2秒前
无情颖完成签到 ,获得积分10
2秒前
丘比特应助11采纳,获得10
3秒前
lhl完成签到,获得积分10
3秒前
JJ_fly完成签到,获得积分10
4秒前
SciGPT应助arniu2008采纳,获得10
4秒前
兔子不爱吃胡萝卜完成签到,获得积分10
4秒前
科研通AI6.2应助车道出采纳,获得30
4秒前
清河聂氏完成签到,获得积分10
5秒前
谨慎的佐罗完成签到,获得积分10
6秒前
小张完成签到,获得积分10
6秒前
6秒前
sagitar应助ESTHERDY采纳,获得50
7秒前
7秒前
7秒前
7秒前
梓歆完成签到 ,获得积分10
10秒前
搞怪的白竹完成签到,获得积分10
10秒前
Jenniful完成签到,获得积分10
11秒前
高景行完成签到 ,获得积分10
12秒前
liupc2019发布了新的文献求助10
14秒前
风中的修杰完成签到 ,获得积分10
14秒前
吃了就会胖完成签到 ,获得积分10
15秒前
锡嘻完成签到 ,获得积分10
15秒前
Jenniful发布了新的文献求助10
16秒前
phoenix001完成签到,获得积分0
16秒前
儒雅黑裤完成签到,获得积分10
17秒前
lbx完成签到,获得积分10
17秒前
stepwise完成签到,获得积分10
18秒前
废羊羊完成签到 ,获得积分10
18秒前
DZQ完成签到,获得积分10
19秒前
小魏哥完成签到,获得积分10
19秒前
韶可愁完成签到,获得积分10
19秒前
ys完成签到 ,获得积分10
21秒前
Luigi发布了新的文献求助10
21秒前
阿梨完成签到 ,获得积分10
21秒前
Zhangtao完成签到,获得积分10
25秒前
微风呵劲草完成签到 ,获得积分10
25秒前
华仔应助火星上的元容采纳,获得10
25秒前
yt完成签到,获得积分10
26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
An Introduction to Foreign Language Learning and Teaching 750
The Oxford Handbook of Digital Classical Studies 550
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7620038
求助须知:如何正确求助?哪些是违规求助? 9195378
关于积分的说明 19707131
捐赠科研通 7191461
什么是DOI,文献DOI怎么找? 3272467
关于科研通互助平台的介绍 2435099
邀请新用户注册赠送积分活动 2267654