Comparison of intelligent virtual reality first-aid training outcomes among individuals with different demographic characteristics

Abstract

Objective: To compare the outcomes of intelligent first-aid training based on virtual reality (VR) among individuals with different demographic characteristics. Methods: A total of 50 nonmedical professional volunteers from Nanchang were conveniently sampled in March 2021. All participants underwent intelligent VR first-aid training, and a comparative analysis was conducted by dividing them into different groups based on demographic characteristics. Results: Male participants had a lower chest compression interruption time compared to female participants (7.40 ± 0.50 vs. 8.04 ± 0.56, t = −4.231, p < 0.001). Additionally, male participants had a higher proportion of compressions with correct compression depth (81.33 ± 1.24 vs. 79.78 ± 1.48, t = 4.038, p < 0.001), higher mean ventilation volume (518.11 ± 1.50 vs. 516.61 ± 2.17, t = 2.881, p = 0.006), and higher theoretical knowledge test score (8.74 ± 0.59 vs. 8.00 ± 0.43, t = 4.981, p < 0.001). There were statistically significant differences in the mean chest compression frequency (110.38 ± 5.74 vs. 105.00 ± 4.78 vs. 107.80 ± 5.97, F = 5.187, p = 0.009) among participants with different educational backgrounds. Pairwise comparisons showed that technical degree holders had a higher mean chest compression frequency than bachelor's degree holders, whereas no statistically significant difference was observed between master's degree holders and bachelor's degree holders. Conclusion: The outcomes of first-aid training differ among participants of different genders and with different educational backgrounds. With all participants meeting the training qualifications, it is believed that the application of intelligent VR first-aid training platforms can improve the first aid capabilities of the public.