Insights into virtual reality-based training for unexplained disease outbreaks: A qualitative exploration of Chinese standardized training nurses' experiences
- PMID: 39178809
- DOI: 10.1016/j.nedt.2024.106358
Insights into virtual reality-based training for unexplained disease outbreaks: A qualitative exploration of Chinese standardized training nurses' experiences
Abstract
Background: An unexplained disease outbreak refers to a scenario wherein a group of individuals encounters similar health issues within a short timeframe, yet healthcare professionals find it challenging to promptly identify the specific cause or pathogenic factors triggering the outbreak. Emerging as a vital force in China, standardized training nurses can significantly mitigate the impact of unforeseen events.
Objective: This study aims to illuminate the experiences of Chinese standardized training nurses engaged in training for unexplained disease outbreaks utilizing virtual reality (VR) technology.
Design: A qualitative descriptive research design was employed.
Participants: Thirty Chinese standardized training nurses participated in semi-structured interviews.
Methods: Data were collected through semi-structured interviews conducted from April 2023 to June 2023. Braun and Clark's thematic analysis method was applied for data analysis.
Results: The study revealed five prominent themes: Surpassing Expectations, Enjoyable Learning, Self-challenge, Reflective Learning, and Promotion-Worthy. In essence, Chinese standardized training nurses perceived VR training as effective, meaningful, and conducive to reflective opportunities. Nevertheless, they expressed challenges in composing epidemiological reports, particularly when lacking expertise in epidemiology and having limited exposure to simulated training.
Conclusion: Virtual Reality (VR) technology plays a crucial role in continuing education after graduation (standardized training for nurses) in China, contributing to the enhancement of clinical practice standards and the promotion of teamwork collaboration. Its broader application is considered worthy of promotion.
Keywords: Qualitative; Simulation; Standardized training nurses; Virtual reality.
Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.
Conflict of interest statement
Declaration of competing interest The authors declare no conflicts of interest.
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