• Jie Pan, Yu-Juan Liu, Chuang Yang, Peng Zeng, Tao Gong, Lu Tao, Ying Zheng, Gui-Ying Ye, and Nai Zhang.
• Department of Emergency, The Third Hospital of Nanchang, Nanchang, China.
• J Eval Clin Pract. 2024 Aug 29.

ObjectiveTo compare the outcomes of intelligent first-aid training based on virtual reality (VR) among individuals with different demographic characteristics.MethodsA 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.ResultsMale 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.ConclusionThe 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.© 2024 John Wiley & Sons Ltd.

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