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Purpose: To compare the effectiveness of mixed reality and traditional manikin-based simulation in basic life support (BLS) training, making the hypothesis that mixed reality was non-inferior to manikin-based simulation.
Methods: Non-inferiority randomized controlled trial. Third-year medical students were randomized in two groups. The mixed reality group (MR) received 32 minutes of individual training using a virtual reality headset and a torso for chest compressions (CC). The manikin simulation group (MK) participated in 2 hours of group training with theoretical and practical sessions using a low-fidelity manikin. The primary outcome was the overall BLS performance score, assessed at one month through a standardized BLS scenario, using a 10-item assessment scale. The quality of CC, students' satisfaction and confidence levels were secondary outcomes, assessed through superiority analyses.
Full description
1.A. Context and Scientific Rationale
Out-of-hospital cardiac arrest is associated with a survival rate of less than 10% after hospital discharge (1). It is well established that the early initiation of basic cardiopulmonary resuscitation (CPR) directly influences patient survival (2). Training in basic CPR is therefore essential, particularly for medical students who will be confronted with cardiac arrest situations throughout their education and professional careers.
Simulation is currently the most widely used training tool for teaching CPR. It allows for the replication of real-world conditions by using mannequins and scenarios, placing learners in a "semi-authentic" context. This enables them to practice external chest compressions (ECC), organize basic CPR by calling for help, initiating ECC, and using an automated external defibrillator (AED). Simulation has demonstrated its effectiveness in teaching both technical skills and non-technical skills such as teamwork and communication (3,4).
New teaching methods, such as augmented reality (AR), allow immersion in virtual scenarios and interaction between physical and digital elements (5). Students can perform ECC on a mannequin while being immersed in a virtual scenario. Evaluating these new technologies is relevant to identify devices that could improve or innovate basic CPR training.
1.A.1. Current Practices in Basic CPR Training
Current training programs integrate various steps of the survival chain according to the European Resuscitation Council (ERC) guidelines (6). These steps include early recognition of cardiac arrest, calling emergency services, initiating chest compressions, and using an AED. Health simulation provides an immersive approach, exposing learners to simulated cardiac arrest situations with varying levels of realism. Using simulation mannequins, students can practice chest compressions and coordinate different CPR steps. Scenarios can be adapted to reflect different contexts, from hospital settings to emergency situations in daily life. This pedagogical approach enhances skill retention and builds confidence in responding effectively to emergencies (3). Furthermore, simulation offers a risk-free environment where errors can be identified and corrected, reinforcing hands-on learning.
1.A.2. Evaluating the Use of Virtual and Augmented Reality in Basic CPR Training
A scoping review of the literature (Dubreucq et al., in submission) was conducted to assess the use of virtual and augmented reality in basic CPR training. The analysis of 22 included studies did not conclude that virtual or augmented reality training was superior to "traditional" training, as control groups varied greatly across studies, making comparisons difficult. The primary assessment criteria used included theoretical knowledge, overall CPR performance, and the quality of ECC. The latter parameter is the most frequently evaluated and appears to be relevant due to its direct impact on survival (7).
1.A.3. Study Objectives
The present study aims to compare two CPR teaching methods: one using an augmented reality device and the other employing conventional simulation-based training. The quality of CPR performed by participants in both groups will be compared after training.
B. Objectives and Hypotheses
This is a single-blind, non-inferiority randomized controlled trial comparing basic CPR training using augmented reality (AR group) to low-fidelity simulation-based training, which is currently used at the medical school (control group).
The primary objective is to compare the overall CPR performance of both groups in a 2-minute scenario, assessed one month after training using a 10-item checklist (Appendix 1).
Secondary objectives will be detailed afterward.
General Hypothesis
The study hypothesis is that augmented reality is at least as effective as low-fidelity simulation for learning basic CPR.
MATERIALS AND METHODS
2.A. Participants
Number of Participants: 225
Recruitment Method:
Third-year medical students at Sorbonne University participating in the mandatory "Cardiac Arrest Level 1" training.
All students enrolled in the training will receive an email with an information notice and will be invited to sign a consent form after attending a preliminary information session explaining the study.
Participation in the study is independent of participation in the mandatory training; students may decline to participate and will still attend the regular training session using traditional mannequin-based simulation.
The one-month assessment will be presented as optional for study participants, who may withdraw at any time.
Inclusion Criteria: Third-year medical students attending "Cardiac Arrest Level 1" training.
Exclusion Criteria: Declining participation in the study, physical inability to perform basic CPR (self-reported).
Randomization: After consent is obtained, participants will be randomized by training date. Sessions will be assigned randomly to the "simulation" or "augmented reality" group, with 16 students per AR session and 16-20 students per simulation session. Randomization will occur one month before the start of training. Non-participating students will attend standard simulation training without randomization.
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225 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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