摘要
目的:分析失效模式与效应分析模式在呼吸道传染性疾病感染应急管理中的应用效果。方法:在呼吸内科开展呼吸道传染性疾病感染的应急管理。对照组采取常规应急管理;观察组在常规应急管理基础上开展失效模式与效应分析(FEMA)模式管理。比较两组管理效果。结果:观察组临床工作者对病区潜在院感防控风险认知及行为评分均显著高于对照组,差异有统计学意义(P<0.05);观察组干预后风险优先指数(RPN)各项评分均低于对照组,差异有统计学意义(P<0.05);观察组医生护士对相关改进环节满意度高于对照组,差异有统计学意义(P<0.05)。结论:FEMA模型应用在呼吸道传染性疾病应急管理中的效果良好,可更加精准地评判风险优先指数,发挥出失效模式查找的对应效果,结合相关资料制定有效的改进措施,以提高医生及护士对于相关环节的满意程度。
Objective:To analyze the application effect of failure mode and effect analysis mode in emergency management of respiratory infectious disease infection.Methods:To carry out emergency management of respiratory infectious disease infection in respiratory department.The control group took conventional emergency management.The observation group carried out failure mode and effect analysis mode management on the basis of conventional emergency management.The management effects between the two groups were compared.Results:The cognition and behavior scores of clinical workers in the observation group were significantly higher than the control group,the difference was statistically significant(P<0.05).The risk priority index(RPN)scores of the observation group were lower than the control group after intervention,the difference was statistically significant(P<0.05).The satisfaction of doctors and nurses in the observation group was higher than the control group,the difference was statistically significant(P<0.05).Conclusion:The failure modes and effects analysis model used in the respiratory tract infectious disease in the emergency management effect is good,can be more accurate to judge the risk priority index,the failure mode to find the corresponding effect,combined with the related data to make effective improvement measures,in order to improve the doctors and nurses satisfaction with the degree of related links.
作者
曾静
卢苹
陈瑶
文艳红
Zeng Jing;Lu Ping;Chen Yao;Wen Yanhong(People's Hospital of Deyang City,Sichuan Deyang 618000)
出处
《中国社区医师》
2021年第35期172-173,共2页
Chinese Community Doctors
基金
四川医院管理和发展研究中心,SCYG2020-25青年基金。
关键词
失效模式
效应分析模型
呼吸道传染性疾病
Failure mode
Effect analysis model
Infectious respiratory diseases