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The article "Impact of a Competency-Based Mechanical Ventilation Course Using Virtual Simulation" explores the impact of a competency-based mechanical ventilation (MV) course using the Xlung Trainer virtual simulator. The study was led by Bruno Rocha de Macedo and collaborators, including Prof. Marcelo Alcantara Holanda (creator of the Xlung platform and simulators) and Prof. Juliana Ferreira (InCor - HCFMUSP).

Key Highlights of the Study:

1. Objective:
   To develop and evaluate a competency-based MV course using the Xlung Trainer, designed for internal medicine residents.
2. Methodology:
• An 8-month online course structured into 8 modules—6 synchronous sessions (1 hour: 20 minutes of lecture + 40 minutes of simulation) and 2 self-directed modules.
• The Xlung Trainer was the core practical tool, allowing manipulation of ventilatory modes, adjustment of respiratory parameters, and interpretation of ventilatory waveforms in complex clinical scenarios.
3. Results:
• 81 residents completed the course (out of 103 enrolled).
• The course received a high Net Promoter Score (NPS) of 9.2, indicating strong recommendation.
• Residents reported a significant increase in confidence when managing MV in various clinical scenarios.
• Theoretical test scores increased by 1.19 points after the course.
• Practical simulation performance averaged 6.15 (PGY-1) and 6.48 (PGY-2), with no statistically significant difference between residency years.
• Basic skills, such as recognizing ventilatory modes, had a high success rate (up to 92.6%), while more complex tasks, like adjusting parameters to correct asynchronies, showed lower performance (27.2% accuracy).
4. Conclusions:
• The virtual simulation-based course effectively enhanced residents' theoretical knowledge and confidence.
• The Xlung Trainer proved to be a valuable and well-accepted tool for teaching mechanical ventilation.
• Although knowledge improved, performance in complex practical skills was limited, suggesting the need for greater focus on higher-order competencies in future training.

🔗 [Access the full article HERE.]

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