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Title: | Enhancing our ability to diagnose cardiac valve disease by applying a graphical educational game |
Authors: | Punja, Dhiren Suryavanshi, Chinmay A. Nayak, Kirtana R. Prabhu, Krishnamoorthi M. |
Keywords: | Application of basic sciences Diagnosing cardiac valve disease Game-based learning Medical education Simulation |
Issue Date: | 2022 |
Publisher: | Journal of Taibah University Medical Sciences |
Series/Report no.: | Original Article;834-843 |
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. |
URI: | http://localhost:8080/xmlui/handle/123456789/7327 |
ISSN: | 1658-3612 |
Appears in Collections: | Vol 17 No 5 (2022) |
Files in This Item:
File | Description | Size | Format | |
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834-843.pdf | 834-843 | 2.4 MB | Adobe PDF | View/Open |
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