Hazard vulnerability analysis of delivery rooms in tertiary hospitals in Liaoning Province based on Kaiser model
10.3760/cma.j.cn211501-20220106-00069
- VernacularTitle:基于Kaiser模型的辽宁省三级甲等医院分娩室灾害脆弱性分析
- Author:
Lina GE
1
;
Huihui YE
;
Xiaonan LIU
;
Meiwen CHEN
Author Information
1. 中国医科大学附属盛京医院妇产科，沈阳 110004
- Keywords:
Emergency management;
Delivery room;
Hazard vulnerability analysis;
Kaiser model
- From:
Chinese Journal of Practical Nursing
2022;38(18):1368-1374
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the delivery room disaster vulnerabilities of 7 tertiary hospitals in Liaoning Province, evaluate the nursing management disasters vulneratility, and provid support for emergency management of delivery room nursing.Methods:The Kaiser model analysis was used to design a disaster vulnerability assessment form for the delivery room, combined with the actual risk prevention and control in the delivery room. The survey was conducted from March 18 to 27, 2020 by paper questionnaire among 200 nursing staff in the delivery room, and the risk values for emergencies were calculated and the matrix distribution was analyzed and evaluated.Results:Totally 190 valid questionnaires were collected. The top 10 risk events faced by the delivery room were epidemic outbreaks, failure to adequately protective equipment for emergency admission to the delivery room, maternal poor protection awareness, nursing staff were contaminated with amniotic fluid and body fluids, poor maternal compliance with midwife orders, shortage of supplies of medical care protective equipment, nursing staff suffered needlestick injuries, high fever in patients, masks and gloves were worn or removed incorrectly, and doctor-patient tension due to poor compliance.Conclusion:Kaiser model-based hazard vulnerability analysis of delivery rooms can provide an important basis for risk identification and early warning and emergency plan improvement and formulation, which should be applied flexibly with the actual and specific characteristics of delivery rooms and dynamic changes of risks.
