Key result
A low-cost simulation model for AVT pacing was considered realistic by all 10 testers and successfully identified 5 specific working steps prone to major performance errors.
A low-cost simulation model for AVT pacing is realistic and useful for identifying technical pitfalls and training pediatric cardiologists.
May aid low-cost AVT pacing training; leaves open whether it reduces pediatric errors.
BACKGROUND: Postoperative junctional ectopic tachycardia (JET) occurs frequently after pediatric cardiac surgery. R-wave synchronized atrial (AVT) pacing is used to re-establish atrioventricular synchrony. AVT pacing is complex, with technical pitfalls. We sought to establish and to test a low-cost simulation model suitable for training and analysis in AVT pacing. METHODS: A simulation model was developed based on a JET simulator, a simulation doll, a cardiac monitor, and a pacemaker. A computer program simulated electrocardiograms. Ten experienced pediatric cardiologists tested the model. Their performance was analyzed using a testing protocol with 10 working steps. RESULTS: Four testers found the simulation model realistic; 6 found it very realistic. Nine claimed that the trial had improved their skills. All testers considered the model useful in teaching AVT pacing. The simulation test identified 5 working steps in which major mistakes in performance test may impede safe and effective AVT pacing and thus permitted specific training. The components of the model (exclusive monitor and pacemaker) cost less than $50. Assembly and training-session expenses were trivial. CONCLUSIONS: A realistic, low-cost simulation model of AVT pacing is described. The model is suitable for teaching and analyzing AVT pacing technique.
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Entenmann et al. (2016) studied Postoperative junctional ectopic tachycardia (JET) pacing training (n=10). Low-cost simulation model for AVT pacing was evaluated on User performance and model evaluation. A low-cost simulation model for AVT pacing was considered realistic by all 10 testers and successfully identified 5 specific working steps prone to major performance errors.
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