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An algorithm to assist novices with electrocardiogram interpretation: Validation with the Delphi Method
Susil Pallikadavath1, Jamie Watts2, Alastair J Sandilands3
1Department of Cardiovascular Sciences, University of Leicester and the NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom.
Purpose:
Electrocardiograms (ECG) are often poorly interpreted by novices and this can delay time-sensitive, critical intervention. This study aimed to assess, improve and validate a stepwise ECG algorithm designed to assist with ECG interpretation by novices by soliciting the opinions of an international cohort of expert cardiologists.
Methods:
The Delphi Method was used, and an online questionnaire was sent to an international panel of cardiologists. Experts were required to evaluate each step of the algorithm and offer comments. Feedback was analysed by the investigators, changes to the algorithm were made and these were sent back to the experts until a consensus was reached. Two rounds of the Delphi Method were required to achieve consensus.
Results:
Overall, 55 responses were achieved (round one = 33, round two = 22). The average agreement in round one was 90.2% with 25 changes from 124 comments. Round two achieved 93.4% agreement with 12 changes from 57 comments. The threshold for consensus was set at 90% and was confirmed as being reached by all four investigators of this study. A final algorithm was therefore established. The ECG algorithm was validated through a rigorous two-stage development and review process.
Conclusions:
The algorithm was validated as a safe, informative tool for novices to use to improve ECG interpretation. Real-world user validation is now required to further improve the algorithm.
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