This medical education study investigates stress levels among undergraduate medical students during basic life support (BLS) training. It compares traditional face-to-face teaching session with virtual reality (VR) training simulating a resuscitation scenario in a public place. We will measure heart rate, heart rate variability, and self-reported stress to assess acute stress responses. The study also examines physical sensations related to VR, the realism of the virtual environment, and the suitability of VR for BLS training.
Cardiac arrest is a major cause of mortality, with survival depending heavily on timely and effective cardiopulmonary resuscitation (CPR). Basic life support (BLS) training teaches recognition of cardiac arrest, calling for help, providing chest compressions and ventilations, and using an automated external defibrillator (AED). For healthcare students, regular BLS training is essential but often limited by time, resources, and staff availability. Simulation-based training provides safe practice opportunities, but traditional methods can be resource-intensive. Virtual reality (VR) offers an alternative, enabling immersive, interactive training with lower resource requirements. VR can simulate realistic resuscitation scenarios in varied environments, potentially increasing engagement, situational awareness, and learning outcomes. However, VR may also induce physical symptoms such as nausea or dizziness, and its effectiveness compared with conventional training remains under investigation. This pilot study compares conventional face-to-face BLS training with VR-based training delivered via head-mounted displays simulating a public cardiac arrest. The primary objective is to evaluate stress responses between the two methods, measured physiologically by heart rate variability (HRV) and psychologically by validated stress and workload questionnaires. Secondary objectives are to assess VR-related physical symptoms, the perceived realism and usability of the VR environment, and its suitability as a BLS teaching method. The VR environment replicates a public setting with bystanders and distractions. Compressions are performed on a manikin mapped to a virtual patient, with real-time feedback on depth and rate. A virtual AED is integrated into the simulation. Sixty first- or second-year medical students will be randomized to VR-based or conventional manikin-based BLS training (30 per group). Exclusion criteria include pregnancy, prior healthcare experience, and BLS training within the past six months. Previous VR experience will be recorded. Physiological stress will be recorded using a three-lead surface ECG (Bittium Faros 180, Finland), providing continuous heart rate and HRV data. Approximately three hours of data will be collected, including baseline rest, training, and post-session recovery. Participants will complete pre- and post-session questionnaires (STAI (state anxiety; NASA-TLX (task load); System Usability Scale (SUS); Simulation Sickness Questionnaire (SSQ); Simulation Design Scale (SDS): Credibility/Presence measures) All surveys will be completed electronically. A standard debrief follows each session. The study is approved by the regional ethics committee and conducted under GDPR and the Declaration of Helsinki. Participation is voluntary with informed consent. VR may cause mild symptoms such as nausea or dizziness; sessions will be stopped if symptoms become limiting. Data are pseudonymized and securely stored.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
OTHER
Masking
NONE
Enrollment
60
One basic life support training session / participant. Duration of educational session aprox. 30min.
Knoppi - Clinical Skills Centre, Faculty of Medicine, University of Oulu
Oulu, North Ostrobothnia, Finland
RECRUITINGStress and Workload Compared Between Two Basic Life Support Training Environments
To determine whether basic life support training in a virtual environment causes more stress and workload than conventional training. Stress will be measured using heart rate variability (HRV), and perceived mental workload will be assessed with validated questionnaires (STAI, NASA-TLX).
Time frame: During training session (approximately 2 hours, including pre/post questionnaires)
Stress (State-Trait Anxiety Inventory, STAI) questionary
Description: Stress levels assessed using the State-Trait Anxiety Inventory (STAI). Range: 20-80. Interpretation: Higher scores indicate greater situational anxiety/stress.
Time frame: Immediately after training
Physiological Stress (Heart Rate Variability, HRV)
Physiological Stress (Heart Rate Variability, HRV). Continuous three-lead ECG recording using skin-surface electrodes with the Bittium Faros 180 device. Parameters: Standard HRV indices (time-domain: SDNN, RMSSD; frequency domain: LF, HF, LF/HF ratio). Interpretation: Lower HRV (e.g. higher LF/HF ratio) indicates greater physiological stress.
Time frame: During training session (approximately 2 hours/participant)
Perceived Workload (NASA Task Load Index)
Questionnaire assessing workload across six dimensions (mental, physical, temporal demand, performance, effort, frustration). Range: 0-100. Interpretation: Higher scores indicate greater perceived workload.
Time frame: Immediately after training
Evaluation of physical symptoms caused by virtual environment - Simulation Sickness (Simulation Sickness Questionnaire, SSQ)
The SSQ is a validated tool to assess simulator-related adverse effects (e.g., nausea, oculomotor strain, disorientation). Scoring: Items rated and combined into subscales (Nausea, Oculomotor, Disorientation) and a total score. Range: Scores scaled; higher scores indicate greater severity of simulation sickness. Interpretation: Higher total and subscale scores indicate stronger symptoms of simulator sickness.
Time frame: Immediately after training
Suitability of virtual environment for Basic life support training - System Usability (System Usability Scale, SUS)
To explore the suitability of a virtual learning environment for resuscitation training. 10-item questionnaire on usability, scored on a 5-point Likert scale and converted to a 0-100 scale. Range: 0-100. Interpretation: Higher scores indicate better usability
Time frame: Immediately after training
Simulation Design Quality (Simulation Design Scale, SDS)
20-item questionnaire evaluating simulation design (objectives, support, problem-solving, feedback, fidelity), rated 1-5. Range: 20-100 total. Interpretation: Higher scores indicate stronger agreement that the simulation was well designed.
Time frame: Immediately after training
Sense of Presence (Slater-Usoh-Steed Questionnaire)
Questionnaire measuring the feeling of "being there" in a virtual reality environment. Range: 1-7 per item; mean score calculated. Interpretation: Higher scores indicate a stronger sense of presence in VR.
Time frame: Immediately after training
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