Case study of virtual reality sepsis management- instructional design and ITEM outcomes

Abstract

This case study focuses on the instructional design and outcomes of a virtual reality (VR) application for sepsis management in healthcare education. The instructional design of the VR sepsis application follows five principles adapted from Merrill’s instructional design theory and Bloom’s taxonomy. The VR simulation is structured to provide a coherent and realistic experience, with instructional materials and feedback incorporated to guide and support the learners. A pilot study was conducted with medical students on clinical placement. Participants experienced the VR sepsis simulation and completed a questionnaire using the Immersive Technology Evaluation Measure (ITEM) to assess their immersion, intrinsic motivation, cognitive load, system usability, and debrief feedback. Descriptive analysis of the data showed median scores indicating high immersion and presence, intrinsic motivation, and perceived learning. However, participants reported a moderately high cognitive load. Comparison with a neutral response to ITEM suggested that users had a significantly higher user experience (p <  0.05) in all domains. This case study highlights the potential of VR in healthcare education and its application in sepsis management. The findings suggest that the instructional design principles used in the VR application can effectively engage learners and provide a realistic learning experience. Further research and evaluation are necessary to assess the impact of VR on learning outcomes and its integration into healthcare education settings.

Keywords:

• Immersive technology
• medical education
• simulation
• virtual reality

Disclosure statement

Author Dr Chris Jacobs is a scientific and technical editor for Journal of Visual Communication in Medicine. This was disclosed from outset and author had no part in editorial process. Gogglemind Ltd provided the virtual simulation software and hardware. Gogglemind Ltd had no influence in the data collection, analysis and subsequent write-up.