An Original Remote Digital Serious Game for Neonatal Resuscitation Training: New Opportunities from COVID-19 Era.

Abstract

Background: The social restrictions imposed by the COVID-19 pandemic have disrupted traditional teaching methods and encouraged the development of innovative and safer approaches based on distance learning. Among these novel techniques, digital game-based learning (DGBL) is a method that facilitates learning through the efficient use of interactive software tailored to the user. Methods: In this work, we investigated the effectiveness of the DGBL methodology for remote training using a game-based digital learning software designed about remote neonatal resuscitation. The DGBL approach was validated in 52 anesthesiologist trainees and compared to a homogenous retrospective control group of pediatric trainees with the same prior knowledge, who followed an in-person training course using the digital serious game. Scores obtained during each game session are recorded and used to assess progress in knowledge of the flowchart, decision time, timing of assisted ventilation, and ability to check equipment. Results: The results confirmed the effectiveness of the remote training mode for each of the analyzed features, whereas no statistically significant advantages of using a supervised DGBL were found. Conclusion: In conclusion, the DGBL remote training approach is a valuable tool that can provide users with an interactive, effective, and enjoyable learning experience. Future developments will concern the implementation of multiplayer versions to stimulate interaction between users for the development of inter-professional and teamwork skills.