Effect of Emergency Escape Room Simulation on Students' Knowledge, Anxiety and Satisfaction Level: Randomized Controlled Study

This research is a randomized controlled study type. The population of the research consisted of a total of 40 students studying at the Hamidiye Nursing Faculty of the University of Health Sciences and taking the emergency nursing course in the 2023-2024 academic year. The sample consisted of nursing students who took this course in the same date range and agreed to participate in the research. In this study, participants were divided into two equal groups: intervention (n=20) and control group (n=20) using a computer-based randomization method (https://www.random.org/). Due to the nature of the research, the participants and the principal investigator were not blinded, while the evaluator was blinded to the groups. In addition to the traditional training method within the scope of emergency nursing training, an escape room application was applied to the intervention group after 14 weeks of emergency nursing training. No intervention other than the traditional training method was applied to the control group within the scope of the 14-week emergency nursing education. Data from the participants were collected through face-to-face interviews using the Personal Information Form, Emergency Nursing Knowledge Test, VAS Satisfaction Scale and State Anxiety Inventory. Participants were informed about the study before the application and filled out a Personal Information Form. Emergency Nursing Knowledge Test, VAS Satisfaction Scale, and State Anxiety Inventory were administered to both groups immediately before and immediately after the escape room simulation application. One week and one month after the application, the Knowledge Test was applied again to both groups. Data collection took approximately 30 minutes. Analysis of data will be performed using IBM SPSS Statistics, version 25.0 (IBM Corporation, Armonk, NY). Descriptive statistical methods such as percentage, mean, standard deviation and median will be used to evaluate the data, and the Kolmogorov-Smirnov distribution test will be used to examine normal distribution. Depending on the characteristics of the variables, chi-square test will be used for categorical data, t-test/Mann Whitney-U test, One-Way ANOVA/Kruskall Wallis tests will be used for measurement data, and Tukey's HSD test/Mann Whitney U test will be used to determine the differences between groups in these tests. Statistical significance will be evaluated at p<0.05 level.