根因分析法在提高癫痫患者长程视频脑电图监测质量中的应用

Application of root cause analysis on long-range video EEG monitoring quality on epilepsy patients

目的探讨根因分析法(root cause analysis,RCA)在提高癫痫患者长程视频脑电图监测质量中的应用效果。方法应用RCA对癫痫患者长程视频脑电图监测的过程进行调查,从脑电图伪差和视频效果两方面分析影响癫痫发作捕捉质量的根本原因,并实施改进措施。结果除摄影头不够清晰外,RCA实施后患者发生干扰事件发生率少于干预前,前后比较,差异具有统计学意义(均P<0.001)。结论应用根因分析法能有效提高癫痫患者长程视频脑电图的监测质量,方法值得推广。

Objective To study the quality and effect of root cause analysis （RCA） on long-range video EEG monitoring on epilepsy patients. Methods The process of RCA long-range video EEG monitoring on patients with epilepsy was investigated to find out the root causes for quality of epilepsy capturing from pseudo differential of EEG and video effects. Then the measures were taken to improve the quality of monitoring. Result After the intervention, except canmera not clear enough, the incidences were significantly decreased compared with pre-intervention （all P 〈 0.001）. Conclusions Root cause analysis is effective in improving the quality of long-range video EEG monitoring on epilepsy patients. It is worth clinically promoting.