Impact of failure mode and effect analysis on risk management of acute coronary syndromes emergency care process
10.3760/cma.j.issn.1674-2907.2019.06.019
- VernacularTitle:基于失效模式与效应分析的急性冠状动脉综合征患者急救护理流程风险管控的研究
- Author:
Hong CAI
1
;
Lili YIN
;
Yi WANG
;
Yurong WANG
;
Yun CHEN
;
Furong LIU
Author Information
1. 上海市杨浦区市东医院急诊科 200438
- Keywords:
First aid;
? Failure mode and effect analysis;
? Acute coronary syndromes;
? Nursing care procedure;
? Risk control
- From:
Chinese Journal of Modern Nursing
2019;25(6):737-742
- CountryChina
- Language:Chinese
-
Abstract:
Objective? To study and analyze the impact of failure mode and effect analysis (FMEA) on risk management of Acute Coronary Syndromes (ACS) emergency care process. Methods? A convenient sampling method was used. According to the time sequence of patients admitted to the emergency department, 84 patients with ACS admitted to our hospital from July 2016 to June 2017 were assigned as the control group and 78 patients admitted from July 2017 to June 2018 were assigned as the observation group. The control group was treated by routine ACS emergency diagnosis and treatment. The observation group was treated by the FMEA method integrated into the ACS emergency care process, in which the failure mode was identified and used to correct the failure factors and to achieve risk control of the process. To measure the effectiveness of FMEA, we used the following indicators: the time from the first medical contact (FMC) with chest pain patients to the first electrocardiogram(EKG), the time from the first EKG to the ACS diagnosis, the completion time of the high-sensitivity troponin test (hs-cTn), the time from admission to the time of door-to-balloon (D2B), the occurrence rate of adverse events, and the patient satisfaction. Results? The first EKG to ACS diagnosis time, hs-cTn completion time and D2B time of the ACS patients in the observation group were shorter than the control group, and the differences were statistically significant (P＜0.05). The satisfaction of ACS patients in the observation group was higher than that in the control group, and the occurance rate of adverse events was lower than that in the control group, and the differences were statistically significant (P＜0.05). Conclusions? The utilization of FMEA can control the risk of ACS emergency care, thus reducing the risk factors in nursing practices, which is worthy of clinical application.
