Effect of a Digital Assistant on the Quality of Cardiopulmonary Resuscitation Performed by Medical Students
Year: 2026
Type: article
Study designs: Randomized Controlled Trial, Clinical Trial
Abstract: The aim of the research : To evaluate the effect of a mobile digital assistant on the quality of the basic cardiopulmonary resuscitation (CPR) algorithm performed by first-year medical students in a simulated environment. Materials and methods . A single-center randomized controlled trial was conducted in 2024 with 196 firstyear students. Participants were randomized into an experimental group (n = 80), who performed CPR using a digital assistant, and a control group (n = 116), who performed resuscitation without it. CPR quality was assessed using AmbuMan® CPR trainers with digital feedback. Non-parametric statistical analysis was performed: the Mann-Whitney U-test was used for quantitative variables, and Fisher's exact test with odds ratios (OR) and 95% confidence intervals (CI) was used for qualitative variables. Results . The use of the digital assistant led to a statistically significant increase in the time to chest compressions: the median in the experimental group was 97,0 seconds [interquartile range: 56,8–125,0] compared to 55,0 seconds [42,3–74,0] in the control group (p < 0,001). At the same time, participants in the digital assistant group were significantly more likely to correctly assess consciousness (75,0% vs. 61,2%; OR 1,90, 95% CI 1,01–3,57; p = 0,047) and breathing (81,2% vs. 50,9%; OR 4,19, 95% CI 2,14–8,17; p < 0,001). No statistically significant differences in the quality of compressions (depth, rate, recoil) or ventilations were found between the groups. Conclusion . The digital assistant effectively improves the performance of the diagnostic steps of the CPR algorithm by medical students without clinical experience. However, its use is associated with a significant delay in the initiation of compressions, which is a critical negative effect that requires further optimization of the application interface and the development of specialized training protocols.
Authors: A. S. Abuldinov, S. V. Khodus, V. S. Oleksik
Institution: Amur State Medical Academy
Language: English
Subfield: Emergency Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W7130850282