Evidence map›Paper›PMID 39727193›Full record

ArticleJMIR medical education2024

Acceptance of Virtual Reality in Trainees Using a Technology Acceptance Model: Survey Study.

Ellen Y Wang, Daniel Qian, Lijin Zhang, Brian S-K Li, Brian Ko, Michael Khoury, Meghana Renavikar, Avani Ganesan, Thomas J Caruso

Abstract read
In one paragraph

Article in JMIR medical education, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

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

  1. Pooled it
  2. Virtual reality as a viable alternative to cadaveric dissection for temporal bone surgical training: a pilot crossover trial.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2026
    Article
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  7. Virtual Reality: Applications in Veterinary Science.Veterinary medicine and science · 2026
    Review
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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

9 authors.

Ellen Y WangDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA, United States.ORCID 0000-0002-9151-938X
Daniel QianDepartment of Medical Education, Icahn School of Medicine at Mount Sinai, New York, NY, United States.ORCID 0000-0002-7350-5662
Lijin ZhangDepartment of Developmental and Psychological Science, Stanford University Graduate School of Education, Palo Alto, CA, United States.ORCID 0000-0002-4222-8850
Brian S-K LiPrinceton University, Princeton, NJ, United States.ORCID 0000-0002-8398-1339
Brian KoUniversity of California, Berkeley, Berkeley, CA, United States.ORCID 0009-0008-7116-034X
Michael KhouryStanford Chariot Program, Lucile Packard Children's Hospital Stanford, Stanford, CA, United States.ORCID 0009-0001-9439-6856
Meghana RenavikarCalifornia Northstate University College of Medicine, Elk Grove, CA, United States.ORCID 0009-0005-0171-6478
Avani GanesanStanford Chariot Program, Lucile Packard Children's Hospital Stanford, Stanford, CA, United States.ORCID 0009-0000-1363-1571
Thomas J CarusoDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA, United States.ORCID 0000-0002-0723-5262

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Virtual reality (VR) technologies have demonstrated therapeutic usefulness across a variety of health care settings. However, graduate medical education (GME) trainee perspectives on VR acceptability and usability are limited. The behavioral intentions of GME trainees with regard to VR as an anxiolytic tool have not been characterized through a theoretical framework of technology adoption. Objective: The primary aim of this study was to apply a hybrid Technology Acceptance Model (TAM) and a United Theory of Acceptance and Use of Technology (UTAUT) model to evaluate factors that predict the behavioral intentions of GME trainees to use VR for patient anxiolysis. The secondary aim was to assess the reliability of the TAM-UTAUT. Methods: Participants were surveyed in June 2023. GME trainees participated in a VR experience used to reduce perioperative anxiety. Participants then completed a survey evaluating demographics, perceptions, attitudes, environmental factors, and behavioral intentions that influence the adoption of new technologies. Results: In total, 202 of 1540 GME trainees participated. Only 198 participants were included in the final analysis (12.9% participation rate). Perceptions of usefulness, ease of use, and enjoyment; social influence; and facilitating conditions predicted intention to use VR. Age, past use, price willing to pay, and curiosity were less strong predictors of intention to use. All confirmatory factor analysis models demonstrated a good fit. All domain measurements demonstrated acceptable reliability. Conclusions: This TAM-UTAUT demonstrated validity and reliability for predicting the behavioral intentions of GME trainees to use VR as a therapeutic anxiolytic in clinical practice. Social influence and facilitating conditions are modifiable factors that present opportunities to advance VR adoption, such as fostering exposure to new technologies and offering relevant training and social encouragement. Future investigations should study the model's reliability within specialties in different geographic locations.

Indexed as

Education, Medical, GraduateVirtual RealityAdultAnxietyAttitude of Health PersonnelFemaleHumansInternship and ResidencyMaleReproducibility of ResultsSurveys and Questionnairesfactor analysisgraduate medical education traineesmedical educationTAMTechnology Acceptance Modeltechnology adoptiontechnology assessmentUnited Theory of Acceptance and Use of TechnologyUTAUTvirtual realityVR

Identifiers

PMID39727193
PMCPMC11693781

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.