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3D- Simulator Training in Interventional Cardiology: a potential game changer?
Session:
Posters (Sessão 1 - Écran 7) - Saúde Digital e Economia da Saúde
Speaker:
João Borges Rosa
Congress:
CPC 2023
Topic:
N. E-Cardiology / Digital Health, Public Health, Health Economics, Research Methodology
Theme:
37. Miscellanea
Subtheme:
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Session Type:
Pósters Electrónicos
FP Number:
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Authors:
João Borges-Rosa; Carolina Sequeira; Ana Rita M. Gomes; Diogo de Almeida Fernandes; Eric Alberto Monteiro; Gil Cunha; Gonçalo Ferraz Costa; Gustavo M. Campos; Joana Guimarães; Rafaela Fernandes; Vanessa Lopes; Gustavo Norte; Manuel Oliveira-Santos; Lino Gonçalves
Abstract
<p style="text-align:justify"><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><span style="font-size:10.0pt">Introduction: Three-dimensional (3D) printing has rapidly evolved in cardiology as a useful tool in the diagnosis and planning of percutaneous interventions. Moreover, the simulation of these procedures in 3D models provides the opportunity to manipulate real devices and learn intervention skills in a realistic, controlled, and safe environment with potential benefits in training programs. However, to ensure that simulators provide a realistic comparison to real-life they must undergo scientific validation. We aimed to evaluate the 3D printed simulator SimuHeart® for face and content validity and to demonstrate its value as a training tool.</span></span></span></p> <p style="text-align:justify"><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><span style="font-size:10.0pt">Methods: We recruited cardiologists, sub-specialists, cardiology residents, nurses, and technicians from sixteen Portuguese hospitals. Participants performed a simulation protocol on the 3D-printed simulator SimulHeart®. All participants received a 30-minute introduction followed by a demonstration of each task and finally attempted to perform it for 2 hours (selective coronary catheterization by radial or femoral access; angioplasty of calcified lesions with rotational atherectomy/litoplasty; and transcatheter aortic valve implantation). A post-training questionnaire with 3 main areas (the appearance of the simulation, simulation content, and satisfaction/self-efficacy) was administered to all participants.</span></span></span></p> <p style="text-align:justify"><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><span style="font-size:10.0pt">Results: We included 56 participants, mean age 35.6 years and 55.4% males: 16 “experts” (cardiologists and sub-specialists), 26 “novices” (cardiology residents), and 14 others (cardiology nurses and technicians). The overall mean score of face validity was 4.38 ± 0.35 (Fig. 1A), while the overall mean score of content validity was 4.69 ± 0.32, (Fig. 1B). There was no statistically significant difference in the scores of “experts” and “novices”. In the questionnaire satisfaction/self-efficacy, 75% strongly considered that the course improved theoretical knowledge, and 61% considered it strongly improved skills. 68% strongly agreed that after the simulation training, they felt confident to explain the procedure to a patient while 82% agreed or strongly agreed that they felt confident to perform the procedure on a patient. 86% of all participants strongly agreed they would recommend the course to colleagues. Additionally, 96% “agreed” or “strongly agreed” that the simulator should be integrated into the cardiology residency curriculum. The mean score (on a 10-point Likert scale) in general terms for the use of the model in training was 9.41 ± 0.80.</span></span></span></p> <p style="text-align:justify"><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><span style="font-size:10.0pt">Conclusion: 3D printed simulator SimulHeart® showed good face and content validity. 3D simulation might play an important role in interventional cardiology training programs. In this study, strong support was found from both “experts” and “novices” for its inclusion in resident education. Further research is required to correlate simulation to clinical performance.</span></span></span></p>
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