虚拟弹性,真实共识:使用改进的德尔菲方法进行基于虚拟现实的弹性干预的方法框架。

Martin Ernst, Yvonne Prinzellner, Nina Dalkner, Sebastian Egger-Lampl, Eva Turk
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引用次数: 0

摘要

这篇概念论文概述了地平线2020项目XR2esilience中进行的一项修改后的德尔菲研究的方法设计和基本原理,该研究旨在为护士开发基于虚拟现实(VR)的弹性培训。本文重点讨论了以共识为导向的德尔菲方法,以支持数字健康干预措施的早期共同开发。来自护理、心理学、教育和VR开发的专家参与了多轮过程,以确定内容领域、实施策略和背景考虑的优先级。德尔菲法适应了数字化干预设计中跨学科协作和利益相关者整合的需要。作为一份概念文件,它概述了方法基础和协商一致进程,为寻求将技术创新与卫生保健领域参与性、协商一致驱动的发展相结合的类似举措提供指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Virtual Resilience, Real Consensus: Methodological Framework for a VR-Based Resilience Intervention Using a Modified Delphi Approach.

This concept paper outlines the methodological design and rationale behind a modified Delphi study conducted within the Horizon 2020 project XR2esilience, which aims to develop a virtual reality (VR)-based resilience training for nurses. The paper focuses on the consensus-oriented Delphi approach to support the early-phase co-development of digital health interventions. Experts from nursing, psychology, education, and VR development participated in a multi-round process to prioritize content areas, implementation strategies, and contextual considerations. The Delphi method was adapted to the needs of interdisciplinary collaboration and stakeholder integration in digital intervention design. As a concept paper, it outlines methodological foundations and consensus processes, offering guidance for similar initiatives seeking to combine technological innovation with participatory, consensus-driven development in healthcare.

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