Evidence map›Paper›PMID 35156931›Full record

ReviewJMIR serious games2022

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

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

Registry-linked trialAbstract readReview
In one paragraph

Review in JMIR serious games, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05686187 (Establishing and Evaluating the Effectiveness of an Augmented Reality Technology in Gender Empowerment System for Long-term Care Workers), which is not on this map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05686187 naunknown statusnot on this mapstarted 2023, after this paper: background citation

Establishing and Evaluating the Effectiveness of an Augmented Reality Technology in Gender Empowerment System for Long-term Care Workers: A Randomized Controlled Trial

TypeinterventionalSponsorNational Taipei University of Nursing and Health SciencesRan2023 to 2025Enrolled120ConditionsGender, Empowerment, Long Term CareArmsAR's platform for gender empowerment
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Virtual reality for stroke rehabilitation.The Cochrane database of systematic reviews · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Norina GasteigerDivision of Nursing, Midwifery and Social Work, University of Manchester, Manchester, United Kingdom.ORCID https://orcid.org/0000-0001-7801-7417
Sabine N van der VeerCentre for Health Informatics, Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom.ORCID https://orcid.org/0000-0003-0929-436X
Paul WilsonDivision of Population Health, Health Services Research and Primary Care, University of Manchester, Manchester, United Kingdom.ORCID https://orcid.org/0000-0002-2657-5780
Dawn DowdingDivision of Nursing, Midwifery and Social Work, University of Manchester, Manchester, United Kingdom.ORCID https://orcid.org/0000-0001-5672-8605

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUsing 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.

objectiveThe 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.

methodsWe 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.

resultsOf 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.

conclusionsTechnical 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.

Indexed as

augmented realityeducationhealthhealth personnelmobile phonerealist reviewrealist synthesisreviewsimulationtrainingvirtual reality

Identifiers

PMID35156931
PMCPMC8893595

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.