Effect of intensified electrocardiogram identification by using spectrogram for the enhancing of monitoring and nursing capacity / 中国医学装备

ABSTRACT

Objective:To explore the effect of intensified electrocardiogram (ECG) identification by using spectrogram for the monitoring and nursing ability of nurses who worked in department of cardiology.Methods: Monitoring and nursing capacity of 120 nurses of cardiology who had been trained on the intensified ECG identification by using spectrogram were researched by retrospective analysis. The 120 nurses were divided into control group (60 cases) and intervention group (60 cases) as the random number table. The nurses of control group only received routine training of ECG identification, while the nurses of intervention group received the training of using spectrogram for ECG identification on basic routine training of control group. A series of indicators, including the scores of ECG comprehensive application ability, identification ability of abnormal electrocardiogram, and the number of the identified abnormal malignance ECG and successfully treated patients, between the two groups were compared and analyzed.Results: After the training, the scores of basic theory, abilities of description and recording, and analysis ability in field operation of the intervention group were significantly higher than those of the control group, respectively (t=11.896,t=8.596,t=8.283,P<0.05). The identified ability including room speed, atrial flutter, ventricular flutter and other abnormal ECG of intervention group were significantly better than these of control group, respectively (x2=18.836,x2=17.698,x2=16.773,P<0.05). Besides, the discovery rate of abnormal malignance ECG (73.3%) and the successful rate of treatment (100.0%)of intervention group were significantly higher than that (31.7% and 81.7%) of control group, respectively (x2=19.184,x2=10.484,P<0.05). Conclusion:The training of intensified ECG identification by using spectrogram for nurse of cardiology can effectively enhance the capacities of identification for ECG and comprehensive application for nurses, and can faster confirm the situation of patient, and can contribute to achieve precision diagnosis for doctors.