BACKGROUND: Cardiopulmonary resuscitation training is a mandatory competency, especially for healthcare professionals. However, the spread of COVID-19 caused a sharp decline in the number of participants on advanced life support training, thereby accelerating the diversification of educational methods. Gamification is an increasingly popular method of diversifying instruction, but its effectiveness remains controversial.
OBJECTIVE: To evaluate the effectiveness of gamification learning in advanced life support training.
METHODS: A cluster randomized controlled trial.
METHODS: A single advanced life support training center.
METHODS: Clinical nurses who are currently practicing in a hospital.
METHODS: A part of the existing advanced life support course was gamified using Kahoot! platform. Conventional learning and gamified learning were each conducted 11 times, and the level of knowledge after training was assessed. The assessment questions were categorized into advanced life support algorithms, teamwork, and cardiac arrest rhythms.
RESULTS: A total of 267 were enrolled in the study, and 148 and 139 learners were assigned to CL and GL, respectively. There was no difference in post-training knowledge related to teamwork, and cardiac arrest rhythms between the conventional learning and gamified learning groups, but knowledge related to the advanced life support algorithm was low in the gamified learning group.
CONCLUSIONS: Even if the learners are the same, advanced life support gamification training can lead to negative outcomes depending on the simplicity or goal of the training content. To improve the effectiveness of the training, various methods of gamification training should be applied depending on the goal and content of the training.

Cardiac arrest is a time-sensitive condition requiring urgent intervention. Prompt and accurate recognition of cardiac arrest by emergency medical dispatchers at the time of the emergency call is a critical early step in cardiac arrest management allowing for initiation of dispatcher-assisted bystander CPR and appropriate and timely emergency response. The overall accuracy of dispatchers in recognizing cardiac arrest is not known. It is also not known if there are specific call characteristics that impact the ability to recognize cardiac arrest.
We performed a systematic review to examine dispatcher recognition of cardiac arrest as well as to identify call characteristics that may affect their ability to recognize cardiac arrest at the time of emergency call. We searched electronic databases for terms related to \"emergency medical dispatcher\", \"cardiac arrest\", and \"diagnosis\", among others, with a focus on studies that allowed for calculating diagnostic test characteristics (e.g. sensitivity and specificity). The review was consistent with Grading of Recommendations, Assessment, Development and Evaluation (GRADE) method for evidence evaluation.
We screened 2520 article titles, resulting in 47 studies included in this review. There was significant heterogeneity between studies with a high risk of bias in 18 of the 47 which precluded performing meta-analyses. The reported sensitivities for cardiac arrest recognition ranged from 0.46 to 0.98 whereas specificities ranged from 0.32 to 1.00. There were no obvious differences in diagnostic accuracy between different dispatching criteria/algorithms or with the level of education of dispatchers.
The sensitivity and specificity of cardiac arrest recognition at the time of emergency call varied across dispatch centres and did not appear to differ by dispatch algorithm/criteria used or education of the dispatcher, although comparisons were hampered by heterogeneity across studies. Future efforts should focus on ways to improve sensitivity of cardiac arrest recognition to optimize patient care and ensure appropriate and timely resource utilization.