Evidence map›Paper›PMID 37393288›Full record

ArticleBMC medical education2023

Eye-tracking during simulation-based echocardiography: a feasibility study.

Christina Hafner, Vincenz Scharner, Martina Hermann, Philipp Metelka, Benedikt Hurch, Daniel Alexander Klaus, Wolfgang Schaubmayr, Michael Wagner, Andreas Gleiss, Harald Willschke and 1 more

Abstract read
In one paragraph

Article in BMC medical education, 2023. 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. Article
  4. Observational
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

11 authors.

Christina HafnerDepartment of Anaesthesia, General Intensive Care and Pain Medicine, Medical University of Vienna, Spitalgasse 23, 1090, Vienna, Austria.ORCID http://orcid.org/0000-0002-4075-1787
Vincenz ScharnerDepartment of Anaesthesia, General Intensive Care and Pain Medicine, Medical University of Vienna, Spitalgasse 23, 1090, Vienna, Austria.
Martina HermannDepartment of Anaesthesia, General Intensive Care and Pain Medicine, Medical University of Vienna, Spitalgasse 23, 1090, Vienna, Austria.ORCID http://orcid.org/0000-0002-4669-2482
Philipp MetelkaDepartment of Anaesthesia, General Intensive Care and Pain Medicine, Medical University of Vienna, Spitalgasse 23, 1090, Vienna, Austria.
Benedikt HurchDepartment of Anaesthesia, General Intensive Care and Pain Medicine, Medical University of Vienna, Spitalgasse 23, 1090, Vienna, Austria.
Daniel Alexander KlausDepartment of Anaesthesia, General Intensive Care and Pain Medicine, Medical University of Vienna, Spitalgasse 23, 1090, Vienna, Austria.
Wolfgang SchaubmayrDepartment of Anaesthesia, General Intensive Care and Pain Medicine, Medical University of Vienna, Spitalgasse 23, 1090, Vienna, Austria.ORCID http://orcid.org/0000-0003-2158-7966
Michael WagnerDepartment of Pediatrics, Comprehensive Center for Pediatrics, Medical University of Vienna, Vienna, Austria.ORCID http://orcid.org/0000-0003-0982-2310
Andreas GleissCenter for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria.ORCID http://orcid.org/0000-0001-8010-7665
Harald WillschkeDepartment of Anaesthesia, General Intensive Care and Pain Medicine, Medical University of Vienna, Spitalgasse 23, 1090, Vienna, Austria.ORCID http://orcid.org/0000-0002-9093-7563
Thomas HampDepartment of Anaesthesia, General Intensive Care and Pain Medicine, Medical University of Vienna, Spitalgasse 23, 1090, Vienna, Austria. thomas.hamp@wien.gv.at.ORCID http://orcid.org/0000-0001-7294-9168

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDue to the technical progress point-of-care ultrasound (POCUS) is increasingly used in critical care medicine. However, optimal training strategies and support for novices have not been thoroughly researched so far. Eye-tracking, which offers insights into the gaze behavior of experts may be a useful tool for better understanding. The aim of this study was to investigate the technical feasibility and usability of eye-tracking during echocardiography as well as to analyze differences of gaze patterns between experts and non-experts.

methodsNine experts in echocardiography and six non-experts were equipped with eye-tracking glasses (Tobii, Stockholm, Sweden), while performing six medical cases on a simulator. For each view case specific areas of interests (AOI) were defined by the first three experts depending on the underlying pathology. Technical feasibility, participants' subjective experience on the usability of the eye-tracking glasses as well as the differences of relative dwell time (focus) inside the areas of interest (AOI) between six experts and six non-experts were evaluated.

resultsTechnical feasibility of eye-tracking during echocardiography was achieved with an accordance of 96% between the visual area orally described by participants and the area marked by the glasses. Experts had longer relative dwell time in the case specific AOI (50.6% versus 38.4%, p = 0.072) and performed ultrasound examinations faster (138 s versus 227 s, p = 0.068). Furthermore, experts fixated earlier in the AOI (5 s versus 10 s, p = 0.033).

conclusionThis feasibility study demonstrates that eye-tracking can be used to analyze experts and non-experts gaze patterns during POCUS. Although, in this study the experts had a longer fixation time in the defined AOIs compared to non-experts, further studies are needed to investigate if eye-tracking could improve teaching of POCUS.

Indexed as

EchocardiographyEye-Tracking TechnologyComputer SimulationFeasibility StudiesHumansPoint-of-Care TestingEchocardiographyEducationEye-tracking

Identifiers

PMID37393288
PMCPMC10314389

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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.