Enhancing our ability to diagnose cardiac valve disease by applying a graphical educational game

Abstract

Objectives: This study aimed to compare a newly designed graphical educational game (GEG) with a casebased learning (CBL) exercise and to enhance our ability to apply physiological knowledge of the cardiac cycle to diagnose cardiac valvular diseases among preclinical medical students. Methods: In this interventional study, first-year undergraduate medical students were randomly assigned to a GEG group (n ¼ 42) and a CBL group (n ¼ 37). The GEG group involved shading cardiac cycle graphs and pressureevolume loops while the CBL group worked on two cases of cardiac valve diseases. A multiple-choice question (MCQ) test was then used to assess conceptual understanding of the cardiac cycle. After brief exposure to murmur auscultation on a simulator manikin, the groups were assessed in a simulator manikin test for their ability to diagnose cardiac valve disease. Median MCQ scores and mean scores in the simulator test were then compared using the ManneWhitney U test. The student’s perspectives of the GEG and simulation session were acquired on a 5-point Likert scale questionnaire. Results: The GEG group had significantly higher median MCQ scores (p < 0.001) and mean simulator test scores (p < 0.001) when compared to the CBL group. Moreover, 91% of students agreed that the GEG helped them to clarify concepts, and 88% agreed that the concepts and knowledge gained through the GEG helped them to diagnose valve disease in the manikins. Conclusion: The GEG was positively received by students and was more useful than the CBL in enhancing the application of cardiac physiology concepts and improving diagnostic ability in a simulated clinical setting.