Purpose
Hybrid simulation has emerged to increase the practicality of simulation training by combining simulators and standardized patient (SP) that implement realistic clinical environments at a high level. This study aimed to develop a hybrid simulation program focused on case of pediatric cardiac catheterization and to evaluate its effectiveness. Methods: The hybrid simulation program was developed according to the Analyze, Design, Develop, Implement, and Evaluate (ADDIE) model. And deep learning-based analysis program was used to analyze non-verbal communication with SP and applied it for debriefing sessions. To verify the effect of the program, a quasi-experimental study using a random assignment design was conducted. In total, 48 nursing students (n=24 in the experimental group; n=24 in the control group) participated in the study.
Results
Knowledge (F=3.53, p=.038), confidence in clinical performance (F=9.73, p<.001), and communication self-efficacy (F=5.20, p=.007) showed a significant difference in both groups and interaction between time points, and the communication ability of the experimental group increased significantly (t=3.32, p=.003).
Conclusion
Hybrid simulation program developed in this study has been proven effective, it can be implemented in child nursing education. Future research should focus on developing and incorporating various hybrid simulation programs using SP into the nursing curriculum and evaluating their effectiveness.

Citations

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  Nurse Education in Practice.2025; 84: 104294.     CrossRef
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  Nurse Education in Practice.2025; 84: 104345.     CrossRef
• Developing scales for clinical emotional intelligence and clinical competency and initial testing in a randomized controlled trial with hybrid simulation
  Jefferson Garcia Guerrero
  Nurse Education in Practice.2025; 87: 104450.     CrossRef
• Clinical simulation in teaching nursing students: Scoping review
  Daniel Ferreira, Delfina Borges, Maria José Oliveira, Paula Flores, Hélder Cunha, Mafalda Silva
  Athena Health & Research Journal.2025;[Epub]     CrossRef