1. Using computerised interactive response technology to assess electrocardiographers and for aggregating diagnoses.
- Author
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Peace A, Ramsewak A, Cairns A, Finlay D, Guldenring D, Clifford G, and Bond R
- Subjects
- Algorithms, Humans, Ireland, Work Performance classification, Arrhythmias, Cardiac diagnosis, Clinical Competence statistics & numerical data, Electrocardiography statistics & numerical data, Task Performance and Analysis, User-Computer Interface, Work Performance statistics & numerical data
- Abstract
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., (Crown Copyright © 2015. Published by Elsevier Inc. All rights reserved.)
- Published
- 2015
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