Proceedings of the 23rd Annual Meeting of the Society in Europe for Simulation Applied to Medicine
A1 Effectiveness of learning cardiopulmonary murmurs using Harvey simulator Anna Klimenko, Zhanna Tigai RUDN University, Simulation Training Center, Moscow, Russia Correspondence: Anna Klimenko (zavyalova_a@mail.ru) Introduction & Aims Medical simulation is an important technique to provide educ...
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Veröffentlicht in: | Advances in simulation (London) 2017-12, Vol.2(Suppl 1) (S1), p.1-10 |
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Zusammenfassung: | A1 Effectiveness of learning cardiopulmonary murmurs using Harvey simulator Anna Klimenko, Zhanna Tigai RUDN University, Simulation Training Center, Moscow, Russia Correspondence: Anna Klimenko (zavyalova_a@mail.ru) Introduction & Aims Medical simulation is an important technique to provide education as well as clinical evaluation with physical examination. Simulation is now regarded as a strategy to improve safety of learning (to patient and student) and quality in real medical practice. The aim of this study was to evaluate students’ confidence levels in detection of heart and respiratory murmurs with Harvey the Cardiopulmonary Patient Simulator compared to real patients with cardiopulmonary disorders. Methods Three hundred and eighty 3rd year medical students underwent pre-study multiple-choice question test (MCQ) to assess their confidence of cardiopulmonary examination and to detect cardiopulmonary murmurs. Three hundred and eleven students successfully passed (>51% test score). They were divided in two groups: G1 (n=155) firstly examine patients with cardiopulmonary disorders - pneumonia with crackles (CR), bronchial asthma with wheezes (WZ), typical mitral stenosis (MS) and aortic stenosis (AS) and then participate in the Harvey simulation (the same scenarios). G2 (n=156) firstly participate in the Harvey simulation and then examine real patients. At the end, all the students completed the post-study MCQ to assess their confidence in detecting murmurs. Statistical analysis was performed using Statistica 10.0. Data was presented as M±SD. For comparison of frequency we used x2-criterion. Mann-Whitney and multiple logistic regression analysis were performed. P 0.05). After completing the first activity there were no differences in detecting CR and WZ between groups (74% vs 72%, 80 vs 78%, p>0.05 respectively), but there was significantly higher confidence in detecting MS and AS in G2 (50 vs 72%, x2= 15,1, p |
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ISSN: | 2059-0628 |
DOI: | 10.1186/s41077-017-0058-x |