Virtual reality environments (VRE) for pre-and post- registration health professional education

Article type
Authors
Kyaw BM1, Saxena N2, Posadzki P1, Vseteckova J3, Nikolaou CK4, Paul P2, Divakar U1, Kononowicz AA5, Masiello I6, Zary N7, Car J1, Tudor Car L8
1Centre for Population Health Sciences (CePHaS), Lee Kong Chian School of Medicine, Nanyang Technological University
2Health Services and Outcomes Research (HSOR), National Healthcare Group
3Faculty of Health and Social Care, The Open University
4Centre de philosophie du droit (Cellule Biogov), Universite Catholique de Louvain
5Department of Learning, Informatics, Management and Ethics (LIME), Karolinska Institutet
6Department of Clinical Science and Education, Karolinska Institutet
7Department of Learning, Informatics, Management and Ethics (LIME), Karolinska Institutet
8Centre for PopulaLee Kong Chian School of Medicine, Nanyang Technological University
Abstract
Background: Virtual Reality Environments (VRE) are simulated counterparts of a real world that can help users experience situations that would normally be difficult in the real world to gain practical knowledge and experience in a simulated environment.

Objectives: The objective of this Cochrane review is to assess the effectiveness of VRE-based eLearning for pre- and post-registration healthcare professionals (HCPs) in terms of their knowledge, skills, attitude gain and satisfaction.

Methods: Seven databases were searched for studies on eLearning from 1990 to August 2016.

Results: The search strategy yielded 25 739 records and 41 RCTs with 2700 participants were included. The interventions tested in studies consist of three dimensional (3D) VREs displayed on a computer screen, 3D digital anatomy models, virtual reality clinics, rooms and head-mounted virtual reality displays. The interventions that these were compared to (the control interventions) were traditional classroom/textbook learning, 2D images and 3D VREs. Our findings suggest that certain subgroups of VRE (Virtual clinics/patients and 3D models) probably improved knowledge gain post-intervention for pre-registration healthcare professionals compared to traditional learning (face-to-face lecture, textbooks, paper-based learning, printed models, simulated patients and manikins) or using 2D-images (computer- and textbook-based learning).

Conclusions: Based on our preliminary findings, the effectiveness of VRE-based eLearning interventions in medical education is promising. However, the overall quality of evidence was low due to unknown risk of bias and inconsistency.