BackgroundResuscitation is a life-saving measure usually instructed in simulation sessions. Small-group teaching is effective. However, feasible group sizes for resuscitation classes are unknown. We investigated the impact of different group sizes on the outcome of resuscitation training.MethodsMedical students (n = 74) were randomized to courses with three, five or eight participants per tutor. The course duration was adjusted according to the group size, so that there was a time slot of 6 minutes hands-on time for every student. All participants performed an objective structured clinical examination before and after training. The teaching sessions were videotaped and resuscitation quality was scored using a checklist while we measured the chest compression parameters with a manikin. In addition, we recorded hands-on-time, questions to the tutor and unrelated conversation.ResultsResults are displayed as median (IQR). Checklist pass rates and scores were comparable between the groups of three, five and eight students per tutor in the post-test (93%, 100% and 100%). Groups of eight students asked fewer questions (0.5 (0.0 – 1.0) vs. 3.0 (2.0 – 4.0), p < .001), had less hands-on time (2:16 min (1:15 – 4:55 min) vs. 4:07 min (2:54 – 5:52 min), p = .02), conducted more unrelated conversations (17.0 ± 5.1 and 2.9 ± 1.7, p < 0.001) and had lower self-assessments than groups of three students per tutor (7.0 (6.1 – 9.0) and 8.2 (7.2 – 9.0), p = .03).ConclusionsResuscitation checklist scores and pass rates after training were comparable in groups of three, five or eight medical students, although smaller groups had advantages in teaching interventions and hands-on time. Our results suggest that teaching BLS skills is effective in groups up to eight medical students, but smaller groups yielded more intense teaching conditions, which might be crucial for more complex skills or less advanced students.Electronic supplementary materialThe online version of this article (doi:10.1186/1472-6920-14-185) contains supplementary material, which is available to authorized users.
IntroductionEarly defibrillation is an important factor of survival in cardiac arrest. However, novice resuscitators often struggle with cardiac arrest patients. We investigated factors leading to delayed defibrillation performed by final-year medical students within a simulated bystander cardiac arrest situation.MethodsFinal-year medical students received a refresher lecture and basic life support training before being confronted with a simulated cardiac arrest situation in a simulation ambulance. The scenario was analyzed for factors leading to delayed defibrillation. We compared the time intervals the participants needed for various measures with a benchmark set by experienced resuscitators. After training, the participants were interviewed regarding challenges and thoughts during the scenario.ResultsThe median time needed for defibrillation was 158 s (n = 49, interquartile range: 107–270 s), more than six-fold of the benchmark time. The major part of total defibrillation time (49%; median, n = 49) was between onset of ventricular fibrillation and beginning to prepare the defibrillator, more specifically the time between end of preparation of the defibrillator and actual delivery of the shock, with a mean proportion of 26% (n = 49, SD = 17%) of the overall time needed for defibrillation (maximum 67%). Self-reported reasons for this delay included uncertainty about the next step to take, as reported by 73% of the participants. A total of 35% were unsure about which algorithm to follow. Diagnosing the patient was subjectively difficult for 35% of the participants. Overall, 53% of the participants felt generally confused.ConclusionsOur study shows that novice resuscitators rarely achieve guideline-recommended defibrillation times. The most relative delays were observed when participants had to choose what to do next or which algorithm to follow, and thus i.e. performed extensive airway management before a life-saving defibrillation. Our data provides a first insight in the process of defibrillation delay and can be used to generate new hypotheses on how to provide a timely defibrillation.
Background: Simulation training in medical education is a valuable tool for skill acquisition. Standard audio/ video-feedback systems for training surveillance and subsequent video feedback are expensive and often not available. Methods: We investigated solutions for a low-budget audio/video-feedback system based on consumer hardware and open source software. Results: Our results indicate that inexpensive, movable network cameras are suitable for high-quality video transmission including bidirectional audio transmission and an integrated streaming platform. In combination with a laptop, a WLAN connection, and the open source software iSpyServer, one or more cameras represent the easiest, yet fully functional audio/video-feedback system. For streaming purposes, the open source software VLC media player
In pandemic times, medical staff is becoming a key resource in fighting the infection. To achieve the best medical care, relevant techniques and procedures have to be taught to medical staff while reducing the risk of infection. COVID-19 patients often develop an acute respiratory distress syndrome with respiratory failure. Prone positioning is established as a core component of management in COVID-19 patients, to enable ventilation of a greater lung area and thereby improve gas exchange. This video shows the prone positioning of a COVID-19 patient while taking personal infection protection into account.
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