Simulation-Based Training for Radiography Students as a Solution in Covid-19 Pandemic: Student's Perspective from a Developing Country

Background and Objective: Under the impact of global Covid-19 pandemic, in-hospital training for radiologic technologist students meets several difficulties. The specificity radiography sciences requires numerous practical exercises. We conducted a tutorial lesson using X-ray simulation software to learn how operate machines. study aimed evaluate students' satisfaction with teaching method based on in radiological sciences. Method: 57 third-year were enrolled. All joined classes onsite from May August 2021. main topic was routine in-house that built by Hue University collaboration Duy Tan University. evaluated following Likert 5 scale 14 specific items. Descriptive statistics one-sample t-test performed SPSS Version 20 (IBM, USA). Result: findings show 68% satisfied hypothetical clinical situation given simulation-based class. One-sample suggests average score all criteria is greater than 3, 3.49 4.07. Most wanted participate further similar class future (91.23%). Simulation-based improves experience, radiograph creation ability, image quality evaluation. Conclusion: skills, enhances visual thinking practice ability students. This seems be appropriate solution medical imaging technology pandemic. However, studies larger population are needed comprehensively effectiveness computer-based approach compared conventional methods.