Abstract
ABSTRACT
Background
The paper aims to examine circumstances that lead to improvement of patient outcomes by contribution of XR immersive technologies in clinical
skills and simulation-based education. The realist approach that is fundamentally concerned with theory development and refinement of complex
interventions is adopted to enable development of new knowledge and highlight success and areas of development [1-3].
Methods/ Design
Quality guidance and checklist of ‘RAMESES’ (Realist and meta-review Evidence Synthesis: Evolving Standards) were used to gain an understanding
of the different contexts of how interventions worked. A realist review included secondary data analysis using a database search of MEDLINE,
CINAHL, BNI, EMBASE, PubMed and Google Scholar. Main terms used were ‘digital technology’ ‘XR in Healthcare/Extended Reality’ and their
related synonyms. Once key data were extracted realist analysis was undertaken to identify impact of context and underlying causal mechanisms
that can lead to different outcomes.
Realist and meta-narrative review approaches are relatively new approaches to systematic review and are theory driven, guiding the process from
the beginning, with data extraction and synthesis being key aspects of theory refinement [4]. Much of the focus being on interactions between
interventions, Context (C), Mechanism (M) and Outcomes (O) configuration, aim to identify patterns and refine the theory.
Results
Literature search initially provided 179 inclusion-relevant papers. 37 studies that were primarily focused on research-related immersive experiences
were chosen for data extraction.
Context of emerging technologies in selected studies included:
• Virtual Reality (VR)
• Augmented Reality (AR)
• Mixed Reality (MR)
• Extended Reality (XR)
These were then themed through connections and chains of inference into the following categories:
• Skills
• Knowledge
• Quality
• Personal Characteristics
• Learner Experiences
• Cost-Benefit & Justification
• Patient Safety
• Affective Outcomes
The above approaches enabled narrative development to generate new knowledge and identified best applications of XR immersive technologies
in clinical skills training and simulation-based education to enhance timely, technology assisted appropriate and cost effective learning to improve
patient outcomes.
Background
The paper aims to examine circumstances that lead to improvement of patient outcomes by contribution of XR immersive technologies in clinical
skills and simulation-based education. The realist approach that is fundamentally concerned with theory development and refinement of complex
interventions is adopted to enable development of new knowledge and highlight success and areas of development [1-3].
Methods/ Design
Quality guidance and checklist of ‘RAMESES’ (Realist and meta-review Evidence Synthesis: Evolving Standards) were used to gain an understanding
of the different contexts of how interventions worked. A realist review included secondary data analysis using a database search of MEDLINE,
CINAHL, BNI, EMBASE, PubMed and Google Scholar. Main terms used were ‘digital technology’ ‘XR in Healthcare/Extended Reality’ and their
related synonyms. Once key data were extracted realist analysis was undertaken to identify impact of context and underlying causal mechanisms
that can lead to different outcomes.
Realist and meta-narrative review approaches are relatively new approaches to systematic review and are theory driven, guiding the process from
the beginning, with data extraction and synthesis being key aspects of theory refinement [4]. Much of the focus being on interactions between
interventions, Context (C), Mechanism (M) and Outcomes (O) configuration, aim to identify patterns and refine the theory.
Results
Literature search initially provided 179 inclusion-relevant papers. 37 studies that were primarily focused on research-related immersive experiences
were chosen for data extraction.
Context of emerging technologies in selected studies included:
• Virtual Reality (VR)
• Augmented Reality (AR)
• Mixed Reality (MR)
• Extended Reality (XR)
These were then themed through connections and chains of inference into the following categories:
• Skills
• Knowledge
• Quality
• Personal Characteristics
• Learner Experiences
• Cost-Benefit & Justification
• Patient Safety
• Affective Outcomes
The above approaches enabled narrative development to generate new knowledge and identified best applications of XR immersive technologies
in clinical skills training and simulation-based education to enhance timely, technology assisted appropriate and cost effective learning to improve
patient outcomes.
| Original language | English |
|---|---|
| Pages (from-to) | 1-6 |
| Number of pages | 6 |
| Journal | Journal of Clinical Case Studies Reviews and Reports |
| Volume | 7 |
| Issue number | 8 |
| Early online date | 5 Aug 2025 |
| DOIs | |
| Publication status | E-pub ahead of print - 5 Aug 2025 |
Bibliographical note
This an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are creditedKeywords
- XR in Healthcare
- Immersive Technologies
- Digital innovation
- Augmented reality
- Mixed Reality
- Realist Review
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