Peace Aaron, Ramsewak Adesh, Cairns Andrew, Finlay Dewar, Guldenring Daniel, Clifford Gari, Bond Raymond
Department of Cardiology, Altnagelvin Hospital, Western Health and Social Care Trust; Northern Ireland Centre for Stratified Medicine, CITRIC, University of Ulster.
Department of Cardiology, Altnagelvin Hospital, Western Health and Social Care Trust.
J Electrocardiol. 2015 Nov-Dec;48(6):995-9. doi: 10.1016/j.jelectrocard.2015.08.003. Epub 2015 Aug 4.
The 12-lead electrocardiogram (ECG) is a crucial diagnostic tool. However, the ideal method to assess competency in ECG interpretation remains unclear. We sought to evaluate whether keypad response technology provides a rapid, interactive way to assess ECG knowledge. 75 participants were enrolled [32 (43%) Primary Care Physicians, 24 (32%) Hospital Medical Staff and 19 (25%) Nurse Practitioners]. Nineteen ECGs with 4 possible answers were interpreted. Out of 1425 possible decisions 1054 (73.9%) responses were made. Only 570/1425 (40%) of the responses were correct. Diagnostic accuracy varied (0% to 78%, mean 42%±21%) across the entire cohort. Participation was high, (median 83%, IQR 50%-100%). Hospital Medical Staff had significantly higher diagnostic accuracy than nurse practitioners (50±20% vs. 38±19%, p=0.04) and Primary Care Physicians (50±20% vs. 40±21%, p=0.07) although not significant. Interactive voting systems can be rapidly and successfully used to assess ECG interpretation. Further education is necessary to improve diagnostic accuracy.
12 导联心电图(ECG)是一种关键的诊断工具。然而,评估心电图解读能力的理想方法仍不明确。我们试图评估键盘响应技术是否能提供一种快速、交互式的方式来评估心电图知识。招募了75名参与者[32名(43%)初级保健医生、24名(32%)医院医务人员和19名(25%)执业护士]。对19份带有4种可能答案的心电图进行了解读。在1425个可能的决策中,做出了1054个(73.9%)回应。只有570/1425(40%)的回应是正确的。整个队列的诊断准确率各不相同(0%至78%,平均42%±21%)。参与度很高(中位数83%,四分位距50%-100%)。医院医务人员的诊断准确率显著高于执业护士(50±20%对38±19%,p = 0.04)和初级保健医生(50±20%对40±21%,p = 0.07),尽管差异不显著。交互式投票系统可快速且成功地用于评估心电图解读。需要进一步开展教育以提高诊断准确率。