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How, for Whom, and in Which Contexts or Conditions Augmented and Virtual Reality Training Works in Upskilling Health Care Workers: Realist Synthesis.

作者信息

Gasteiger Norina, van der Veer Sabine N, Wilson Paul, Dowding Dawn

机构信息

Division of Nursing, Midwifery and Social Work, University of Manchester, Manchester, United Kingdom.

Centre for Health Informatics, Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom.

出版信息

JMIR Serious Games. 2022 Feb 14;10(1):e31644. doi: 10.2196/31644.


DOI:10.2196/31644
PMID:35156931
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8893595/
Abstract

BACKGROUND: Using traditional simulators (eg, cadavers, animals, or actors) to upskill health workers is becoming less common because of ethical issues, commitment to patient safety, and cost and resource restrictions. Virtual reality (VR) and augmented reality (AR) may help to overcome these barriers. However, their effectiveness is often contested and poorly understood and warrants further investigation. OBJECTIVE: The aim of this review is to develop, test, and refine an evidence-informed program theory on how, for whom, and to what extent training using AR or VR works for upskilling health care workers and to understand what facilitates or constrains their implementation and maintenance. METHODS: We conducted a realist synthesis using the following 3-step process: theory elicitation, theory testing, and theory refinement. We first searched 7 databases and 11 practitioner journals for literature on AR or VR used to train health care staff. In total, 80 papers were identified, and information regarding context-mechanism-outcome (CMO) was extracted. We conducted a narrative synthesis to form an initial program theory comprising of CMO configurations. To refine and test this theory, we identified empirical studies through a second search of the same databases used in the first search. We used the Mixed Methods Appraisal Tool to assess the quality of the studies and to determine our confidence in each CMO configuration. RESULTS: Of the 41 CMO configurations identified, we had moderate to high confidence in 9 (22%) based on 46 empirical studies reporting on VR, AR, or mixed simulation training programs. These stated that realistic (high-fidelity) simulations trigger perceptions of realism, easier visualization of patient anatomy, and an interactive experience, which result in increased learner satisfaction and more effective learning. Immersive VR or AR engages learners in deep immersion and improves learning and skill performance. When transferable skills and knowledge are taught using VR or AR, skills are enhanced and practiced in a safe environment, leading to knowledge and skill transfer to clinical practice. Finally, for novices, VR or AR enables repeated practice, resulting in technical proficiency, skill acquisition, and improved performance. The most common barriers to implementation were up-front costs, negative attitudes and experiences (ie, cybersickness), developmental and logistical considerations, and the complexity of creating a curriculum. Facilitating factors included decreasing costs through commercialization, increasing the cost-effectiveness of training, a cultural shift toward acceptance, access to training, and leadership and collaboration. CONCLUSIONS: Technical and nontechnical skills training programs using AR or VR for health care staff may trigger perceptions of realism and deep immersion and enable easier visualization, interactivity, enhanced skills, and repeated practice in a safe environment. This may improve skills and increase learning, knowledge, and learner satisfaction. The future testing of these mechanisms using hypothesis-driven approaches is required. Research is also required to explore implementation considerations.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a00b/8893595/a31c1a84108d/games_v10i1e31644_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a00b/8893595/80dacdc1e77f/games_v10i1e31644_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a00b/8893595/a31c1a84108d/games_v10i1e31644_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a00b/8893595/80dacdc1e77f/games_v10i1e31644_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a00b/8893595/a31c1a84108d/games_v10i1e31644_fig2.jpg

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How, for Whom, and in Which Contexts or Conditions Augmented and Virtual Reality Training Works in Upskilling Health Care Workers: Realist Synthesis.

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本文引用的文献

[1]
Simulation-based education programme for upskilling non-critical care nurses for COVID-19 deployment.

BMJ Simul Technol Enhanc Learn. 2020-10-21

[2]
Upskilling health and care workers with augmented and virtual reality: protocol for a realist review to develop an evidence-informed programme theory.

BMJ Open. 2021-7-5

[3]
Sticky apps, not sticky hands: A systematic review and content synthesis of hand hygiene mobile apps.

J Am Med Inform Assoc. 2021-8-13

[4]
The application of virtual reality training for anastomosis during robot-assisted radical prostatectomy.

Asian J Urol. 2021-4

[5]
Physicians' Use of the Computerized Physician Order Entry System for Medication Prescribing: Systematic Review.

JMIR Med Inform. 2021-3-4

[6]
Evaluation of Laparoscopy Virtual Reality Training on the Improvement of Trainees' Surgical Skills.

Medicina (Kaunas). 2021-2-2

[7]
Understanding eHealth Cognitive Behavioral Therapy Targeting Substance Use: Realist Review.

J Med Internet Res. 2021-1-21

[8]
Effectiveness of Immersive Virtual Reality on Orthopedic Surgical Skills and Knowledge Acquisition Among Senior Surgical Residents: A Randomized Clinical Trial.

JAMA Netw Open. 2020-12-1

[9]
The future surgical training paradigm: Virtual reality and machine learning in surgical education.

Surgery. 2021-5

[10]
Toward interprofessional team training for surgeons and anesthesiologists using virtual reality.

Int J Comput Assist Radiol Surg. 2020-12

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