Application effect of risk assessment in nosocomial infection control in Stomatology Department

医学 入射(几何) 风险评估 感染控制 急诊医学 PDCA公司 风险因素 分离(微生物学) 重症监护医学 内科学 质量管理 管理制度 运营管理 物理 计算机安全 微生物学 计算机科学 经济 光学 生物
作者
Ting Gong,Hong Zhang,Wei Ben-juan
出处
期刊:Chinese Journal of Modern Nursing [Chinese Medical Association]
卷期号:25 (29): 3807-3810
标识
DOI:10.3760/cma.j.issn.1674-2907.2019.29.021
摘要

Objective To explore the effect of risk assessment on nosocomial infection control in Stomatology Department. Methods In December 2017, members of the Hospital Infection Management Committee and the Hospital Infection Management Committee of the Department of Stomatology were organized to identify the risk of nosocomial infection in Stomatology Department by brainstorming method. Referring to the 'Risk Assessment and Plan for Epidemiological and Infection Control of the National Children's Medical Center in Washington, USA', the risk assessment mainly adopted matrix method. The top three risk priority factors were controlled. The incidence of nosocomial infection in Stomatology Department before and after risk assessment were compared. Results The three risk factors with the highest risk priority were multi-drug resistant bacterial infection, disinfection and isolation, and the use of disposable items. The first three risk factors were dealt with by PDCA (plan, do, check, act) cycle model, including risk factor analysis, improvement plan (time stage, target, measure) , tracking and next stage target. After risk assessment, the incidence of nosocomial infection in Stomatology Department was 0.73%, which was lower than 3.65% before risk assessment. The difference was statistically significant (χ2=7.754, P=0.005) . Conclusions The risk assessment of nosocomial infection in Stomatology Department can effectively find out the main potential risk factors, reduce the incidence of nosocomial infection, and standardize the management of nosocomial infection in Stomatology Department. Key words: Nosocomial infection; Stomatology Department; Risk assessment; Risk factors; PDCA

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
刚刚
2秒前
Yangon发布了新的文献求助10
2秒前
Max发布了新的文献求助10
3秒前
爆米花应助颜九采纳,获得10
4秒前
4秒前
lijingqi发布了新的文献求助10
5秒前
善学以致用应助安渝采纳,获得10
5秒前
HAWE发布了新的文献求助10
5秒前
7秒前
7秒前
8秒前
leona发布了新的文献求助10
8秒前
张朋朋完成签到,获得积分20
8秒前
111完成签到 ,获得积分10
9秒前
10秒前
10秒前
11秒前
11秒前
无极微光应助huohaha采纳,获得20
11秒前
12秒前
12秒前
kll发布了新的文献求助10
13秒前
充电宝应助橙子采纳,获得10
13秒前
边伯贤发布了新的文献求助10
14秒前
accerue发布了新的文献求助10
15秒前
fsd完成签到,获得积分10
15秒前
cheng发布了新的文献求助10
15秒前
可靠的难胜完成签到,获得积分10
16秒前
年年发布了新的文献求助10
16秒前
17秒前
JamesPei应助bored采纳,获得10
17秒前
不吃香菜发布了新的文献求助20
18秒前
充电宝应助王鸿鑫采纳,获得10
19秒前
yjczuishuai发布了新的文献求助10
19秒前
Cc完成签到 ,获得积分10
19秒前
19秒前
叶知秋发布了新的文献求助10
20秒前
21秒前
不吃垃圾食品完成签到,获得积分10
22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
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
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 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6018778
求助须知:如何正确求助?哪些是违规求助? 7609483
关于积分的说明 16160244
捐赠科研通 5166562
什么是DOI,文献DOI怎么找? 2765340
邀请新用户注册赠送积分活动 1746976
关于科研通互助平台的介绍 1635419