Investigation of Scenario-Based Simulation for Communication Skills Development in Healthcare Education
DOI:
https://doi.org/10.56294/hl2022173Keywords:
Healthcare Education, ANOVA, Regression Analysis, Paired t-test, Scenario-based simulations, Traditional classroom-based trainingAbstract
In healthcare settings, effective communication is essential; it affects team relationships and patient outcomes. Scenario-based simulation has become a viable approach to enhancing communication skills in healthcare education. Research examines how scenario-based simulation can improve healthcare students' communication skills. 250 participants were gathered and split into two groups: the Experimental Group (EG) (n=140), which consisted of healthcare students who participated in scenario-based simulations to enhance their communication skills, such as patient interaction and empathy, while a Control Group (CG) (n=110) received traditional classroom-based training, which focused on communication skills, without participating in the simulations. The goal of both groups was to enhance clinical communication abilities. Research used a mixed-methods technique to collect both quantitative and qualitative data. The IBM SPSS software version of 29.0 was utilized. Three statistical methods were used to analyse using Regression Analysis (RA) to ascertain the effect of the intervention on communication outcomes, ANOVA to compare the improvement between the EG and CG, and Paired t-tests to evaluate communication scores pre- and post-intervention. In comparison to the control group (CG), the experimental group (EG) exhibited significant improvements in communication skills, including empathy, clarity, and cultural sensitivity. The findings show that scenario-based simulation is a useful technique for improving clinical cooperation, communication skills, patient rapport, and confidence in managing interpersonal difficulties. Adding scenario-based simulations to healthcare education programs can result in more capable and sympathetic medical workers. This suggests that more investigation be done into the optimization and long-term impacts of simulation-based training.
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Copyright (c) 2022 Shivangi Bansal , Suraj Rajesh Karpe , Sujayaraj Samuel Jayakumar , Swarup Kumar Bisoi (Author)
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