Efficacy Testing of a Multi-Access Metaverse-Based Early Onset Schizophrenia Nursing Simulation Program: A Quasi-Experimental Study

Sun-Yi Yang and Mi-Kyung Kang ()
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Sun-Yi Yang: College of Nursing, Medical Campus, Konyang University, 158, Gwanjeodong-ro, Seo-gu, Daejeon 35365, Republic of Korea
Mi-Kyung Kang: College of Nursing, Chungwoon University, 25 Daehak-gil, Hongseong-eup, Hongseong-gun 32244, Chungnam, Republic of Korea

IJERPH, 2022, vol. 20, issue 1, 1-18

Abstract: This study investigated the effects of a multi-access, metaverse-based early onset schizophrenia nursing simulation program based on Raskin and Rogers’ person-centered therapy. The program’s effectiveness was tested using a nonequivalent control group pre-test/post-test design. A quasi-experimental simulation study with both pre- and post-test designs was adopted. The experimental group ( n = 29) used the simulation program, whereas the control group ( n = 29) received only an online lecture on schizophrenia nursing. Changes in scores among experimental and control groups were compared using independent t -tests and analyses of covariance with PASW SPSS-WIN 27.0. Post-intervention, the knowledge regarding patients with early onset schizophrenia, critical thinking ability, and the ability to facilitate communication increased significantly in the experimental group compared with the control group. The nursing simulation program for children with early onset schizophrenia using a metaverse improved nursing students’ knowledge, critical thinking ability, and ability to facilitate communication. This training method should be adapted without spatiotemporal constraints by partially supplementing clinical and simulation-based practice. In clinical nursing training, metaverse technical limitations should be identified, and training topics should be selected. Employing EduTech in a metaverse environment can provide clinical education to nurses in psychiatric wards and improve therapeutic communication with their psychiatric patients.

Keywords: nursing education; user computer interface; patient simulation; psychiatric nursing; nursing–patient relations (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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