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Upskilling health and care workers with augmented and virtual reality: protocol for a realist review to develop an evidence-informed programme theory

INTRODUCTION: Augmented reality (AR) and virtual reality (VR) are increasingly used to upskill health and care providers, including in surgical, nursing and acute care settings. Many studies have used AR/VR to deliver training, providing mixed evidence on their effectiveness and limited evidence reg...

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Detalles Bibliográficos
Autores principales: Gasteiger, Norina, van der Veer, Sabine N, Wilson, Paul, Dowding, Dawn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8258595/
https://www.ncbi.nlm.nih.gov/pubmed/34226234
http://dx.doi.org/10.1136/bmjopen-2021-050033
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author Gasteiger, Norina
van der Veer, Sabine N
Wilson, Paul
Dowding, Dawn
author_facet Gasteiger, Norina
van der Veer, Sabine N
Wilson, Paul
Dowding, Dawn
author_sort Gasteiger, Norina
collection PubMed
description INTRODUCTION: Augmented reality (AR) and virtual reality (VR) are increasingly used to upskill health and care providers, including in surgical, nursing and acute care settings. Many studies have used AR/VR to deliver training, providing mixed evidence on their effectiveness and limited evidence regarding contextual factors that influence effectiveness and implementation. This review will develop, test and refine an evidence-informed programme theory on what facilitates or constrains the implementation of AR or VR programmes in health and care settings and understand how, for whom and to what extent they ‘work’. METHODS AND ANALYSIS: This realist review adheres to the Realist And Meta-narrative Evidence Syntheses: Evolving Standards (RAMESES) standards and will be conducted in three steps: theory elicitation, theory testing and theory refinement. First, a search will identify practitioner, academic and learning and technology adoption theories from databases (MEDLINE, Scopus, CINAHL, Embase, Education Resources Information Center, PsycINFO and Web of Science), practitioner journals, snowballing and grey literature. Information regarding contexts, mechanisms and outcomes will be extracted. A narrative synthesis will determine overlapping configurations and form an initial theory. Second, the theory will be tested using empirical evidence located from the above databases and identified from the first search. Quality will be assessed using the Mixed Methods Appraisal Tool (MMAT), and relevant information will be extracted into a coding sheet. Third, the extracted information will be compared with the initial programme theory, with differences helping to make refinements. Findings will be presented as a narrative summary, and the MMAT will determine our confidence in each configuration. ETHICS AND DISSEMINATION: Ethics approval is not required. This review will develop an evidence-informed programme theory. The results will inform and support AR/VR interventions from clinical educators, healthcare providers and software developers. Upskilling through AR/VR learning interventions may improve quality of care and promote evidence-based practice and continued learning. Findings will be disseminated through conference presentations and peer-reviewed journal articles.
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spelling pubmed-82585952021-07-23 Upskilling health and care workers with augmented and virtual reality: protocol for a realist review to develop an evidence-informed programme theory Gasteiger, Norina van der Veer, Sabine N Wilson, Paul Dowding, Dawn BMJ Open Medical Education and Training INTRODUCTION: Augmented reality (AR) and virtual reality (VR) are increasingly used to upskill health and care providers, including in surgical, nursing and acute care settings. Many studies have used AR/VR to deliver training, providing mixed evidence on their effectiveness and limited evidence regarding contextual factors that influence effectiveness and implementation. This review will develop, test and refine an evidence-informed programme theory on what facilitates or constrains the implementation of AR or VR programmes in health and care settings and understand how, for whom and to what extent they ‘work’. METHODS AND ANALYSIS: This realist review adheres to the Realist And Meta-narrative Evidence Syntheses: Evolving Standards (RAMESES) standards and will be conducted in three steps: theory elicitation, theory testing and theory refinement. First, a search will identify practitioner, academic and learning and technology adoption theories from databases (MEDLINE, Scopus, CINAHL, Embase, Education Resources Information Center, PsycINFO and Web of Science), practitioner journals, snowballing and grey literature. Information regarding contexts, mechanisms and outcomes will be extracted. A narrative synthesis will determine overlapping configurations and form an initial theory. Second, the theory will be tested using empirical evidence located from the above databases and identified from the first search. Quality will be assessed using the Mixed Methods Appraisal Tool (MMAT), and relevant information will be extracted into a coding sheet. Third, the extracted information will be compared with the initial programme theory, with differences helping to make refinements. Findings will be presented as a narrative summary, and the MMAT will determine our confidence in each configuration. ETHICS AND DISSEMINATION: Ethics approval is not required. This review will develop an evidence-informed programme theory. The results will inform and support AR/VR interventions from clinical educators, healthcare providers and software developers. Upskilling through AR/VR learning interventions may improve quality of care and promote evidence-based practice and continued learning. Findings will be disseminated through conference presentations and peer-reviewed journal articles. BMJ Publishing Group 2021-07-05 /pmc/articles/PMC8258595/ /pubmed/34226234 http://dx.doi.org/10.1136/bmjopen-2021-050033 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Medical Education and Training
Gasteiger, Norina
van der Veer, Sabine N
Wilson, Paul
Dowding, Dawn
Upskilling health and care workers with augmented and virtual reality: protocol for a realist review to develop an evidence-informed programme theory
title Upskilling health and care workers with augmented and virtual reality: protocol for a realist review to develop an evidence-informed programme theory
title_full Upskilling health and care workers with augmented and virtual reality: protocol for a realist review to develop an evidence-informed programme theory
title_fullStr Upskilling health and care workers with augmented and virtual reality: protocol for a realist review to develop an evidence-informed programme theory
title_full_unstemmed Upskilling health and care workers with augmented and virtual reality: protocol for a realist review to develop an evidence-informed programme theory
title_short Upskilling health and care workers with augmented and virtual reality: protocol for a realist review to develop an evidence-informed programme theory
title_sort upskilling health and care workers with augmented and virtual reality: protocol for a realist review to develop an evidence-informed programme theory
topic Medical Education and Training
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8258595/
https://www.ncbi.nlm.nih.gov/pubmed/34226234
http://dx.doi.org/10.1136/bmjopen-2021-050033
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