Evidence map›Paper›PMID 37720369›Full record

ArticleThe journal of education in perioperative medicine : JEPM

Participant Perceptions of Augmented Reality Simulation for Cardiac Anesthesiology Training: A Prospective, Mixed-Methods Study.

Albert Tsai, Natalie Bodmer, Tracey Hong, Anna Frackman, Olivia Hess, Michael Khoury, Christian Jackson, Thomas J Caruso

Abstract read
In one paragraph

Article in The journal of education in perioperative medicine : JEPM. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Trial
  2. Review
  3. The use of extended reality in anesthesiology education: a scoping review.Canadian journal of anaesthesia = Journal canadien d'anesthesie · 2025
    Article
  4. Article
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

8 authors.

Albert TsaiThe following authors are in the Department of Anesthesiology, Perioperative, and Pain Medicine at Stanford University School of Medicine, Palo Alto, CA: , and are Clinical Assistant Professors; is an Anesthesiology Resident; is a Research Assistant; is a Clinical Professor. is a Medical Student at Stanford University School of Medicine, Palo Alto, CA. is a Data Analyst in the Department of Epidemiology and Population Health at Stanford University, Stanford, CA.
Natalie BodmerThe following authors are in the Department of Anesthesiology, Perioperative, and Pain Medicine at Stanford University School of Medicine, Palo Alto, CA: , and are Clinical Assistant Professors; is an Anesthesiology Resident; is a Research Assistant; is a Clinical Professor. is a Medical Student at Stanford University School of Medicine, Palo Alto, CA. is a Data Analyst in the Department of Epidemiology and Population Health at Stanford University, Stanford, CA.
Tracey HongThe following authors are in the Department of Anesthesiology, Perioperative, and Pain Medicine at Stanford University School of Medicine, Palo Alto, CA: , and are Clinical Assistant Professors; is an Anesthesiology Resident; is a Research Assistant; is a Clinical Professor. is a Medical Student at Stanford University School of Medicine, Palo Alto, CA. is a Data Analyst in the Department of Epidemiology and Population Health at Stanford University, Stanford, CA.
Anna FrackmanThe following authors are in the Department of Anesthesiology, Perioperative, and Pain Medicine at Stanford University School of Medicine, Palo Alto, CA: , and are Clinical Assistant Professors; is an Anesthesiology Resident; is a Research Assistant; is a Clinical Professor. is a Medical Student at Stanford University School of Medicine, Palo Alto, CA. is a Data Analyst in the Department of Epidemiology and Population Health at Stanford University, Stanford, CA.
Olivia HessThe following authors are in the Department of Anesthesiology, Perioperative, and Pain Medicine at Stanford University School of Medicine, Palo Alto, CA: , and are Clinical Assistant Professors; is an Anesthesiology Resident; is a Research Assistant; is a Clinical Professor. is a Medical Student at Stanford University School of Medicine, Palo Alto, CA. is a Data Analyst in the Department of Epidemiology and Population Health at Stanford University, Stanford, CA.
Michael KhouryThe following authors are in the Department of Anesthesiology, Perioperative, and Pain Medicine at Stanford University School of Medicine, Palo Alto, CA: , and are Clinical Assistant Professors; is an Anesthesiology Resident; is a Research Assistant; is a Clinical Professor. is a Medical Student at Stanford University School of Medicine, Palo Alto, CA. is a Data Analyst in the Department of Epidemiology and Population Health at Stanford University, Stanford, CA.
Christian JacksonThe following authors are in the Department of Anesthesiology, Perioperative, and Pain Medicine at Stanford University School of Medicine, Palo Alto, CA: , and are Clinical Assistant Professors; is an Anesthesiology Resident; is a Research Assistant; is a Clinical Professor. is a Medical Student at Stanford University School of Medicine, Palo Alto, CA. is a Data Analyst in the Department of Epidemiology and Population Health at Stanford University, Stanford, CA.
Thomas J CarusoThe following authors are in the Department of Anesthesiology, Perioperative, and Pain Medicine at Stanford University School of Medicine, Palo Alto, CA: , and are Clinical Assistant Professors; is an Anesthesiology Resident; is a Research Assistant; is a Clinical Professor. is a Medical Student at Stanford University School of Medicine, Palo Alto, CA. is a Data Analyst in the Department of Epidemiology and Population Health at Stanford University, Stanford, CA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Simulations are a critical component of anesthesia education, and ways to broaden their delivery and accessibility should be studied. The primary aim was to characterize anesthesiology resident, fellow, and faculty experience with augmented reality (AR) simulations. The secondary aim was to explore the feasibility of quantifying performance using integrated eye-tracking technology. Methods: This was a prospective, mixed-methods study using qualitative thematic analysis of user feedback and quantitative analysis of gaze patterns. The study was conducted at a large academic medical center in Northern California. Participants included 7 anesthesiology residents, 6 cardiac anesthesiology fellows, and 5 cardiac anesthesiology attendings. Each subject participated in an AR simulation involving resuscitation of a patient with pericardial tamponade. Postsimulation interviews elicited user feedback, and eye-tracking data were analyzed for gaze duration and latency. Results: Thematic analysis revealed 5 domains of user experience: global assessment, spectrum of immersion, comparative assessment, operational potential, and human-technology interface. Participants reported a positive learning experience and cited AR technology's portability, flexibility, and cost-efficiency as qualities that may expand access to simulation training. Exploratory analyses of gaze patterns suggested that trainees had increased gaze duration of vital signs and gaze latency of malignant arrythmias compared with attendings. Limitations of the study include lack of a control group and underpowered statistical analyses of gaze data. Conclusions: This study suggests positive user perception of AR as a novel modality for medical simulation training. AR technology may increase exposure to simulation education and offer eye-tracking analyses of learner performance.

Indexed as

augmented realitybehavioral skillsMedical educationqualitative methodssimulation

Identifiers

PMID37720369
PMCPMC10502607

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.