Purpose: This study, as presented by Kern, Thomas, and Hughes , aims to verify the effectiveness of clinical inference education through digital storytelling programs based on Smith and Mann’s (2002) mobile education model in accordance with the six stages of the medical course development model. Based on the mobile education model of Smith and Mann (2002), the effectiveness of clinical reasoning education is verified through the mobile education program. Method: A single group pre-post test design that evaluates the clinical reasoning education effects of the mobile education program was used. Results: A statistically significant improvement was observed in clinical inference capacity from before intervention (t=-9.81, p<0.001); there was also a greater difference in the average value after intervention than before intervention in all of the results. Conclusion: This study suggests that while scenarios were constructed around five cases of high-risk Infant with respiratory and mechanical problems, in the future, additional scenarios should be developed to include different body systems.

Purpose: This study aimed to develop an algorithm-based simulation scenario for emergency measures for a high-risk newborn presenting apnea. Methods: A methodological study design was used to develop the algorithm-based simulation scenario. Expert evaluation was used to establish the developed algorithm’s content validity. Results: The simulation scenario was developed using several steps of algorithm development based on the Neonatal Resuscitation Program (NRP). The content validity was established. Based on the expert evaluation results, an eight-frame algorithm was selected for the final simulation scenario. The scenario courseware was composed of six major components: pre-learning activity simulation orientation, simulation operation, SBAR-format recording, watching the video-clip of their performance for self-evaluation and debriefing. After simulation, student’s clinical performance and communication skill were evaluated with the developed instrument. Conclusion: Considering that nursing students have limited access to high-risk newborns during their clinical experience and that newborns presenting apnea are common in the neonatal intensive care unit, the algorithm-based simulation scenario developed in this study can provide students with the opportunity to practice alternative emergency measures for high-risk newborns.