Text Network Analysis of Research Topics and Trends on Simulations Using Virtual Patients in Nursing Education

Abstract

Simulations using virtual patients have been utilized as an effective method in nursing education. However, keyword network analyses and topic modeling on simulations using virtual patients in nursing education have not yet been performed. In this study, 213 articles were retrieved from online research article databases. Abstracts from these articles were extracted, and network analysis was conducted using NetMiner version 4.3 (Cyram Inc, Seongnam, South Korea). Based on the study's analysis, scenario, communication, system, assessment, person, disaster, and management were identified as the keywords with high centrality values. Therefore, they were determined to be influential in the network. After topic modeling, 10 topics were derived as dementia care competency, pain assessment, airway placement management, operating procedure, presence and satisfaction, communication and attitude improvement, platform world, disaster response, game and video usability, and system for confidence. The identified trends in this study will help grasp the trends and insight to guide future research directions on simulations using virtual patients in nursing education.