Evidence map›Paper›PMID 38909130›Full record

ArticleScientific reports2024

360-degree virtual reality video to teach neonatal resuscitation: an exploratory development study.

Sevag Tachejian, Ahmed Moussa

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

2 authors.

Sevag TachejianDivision of Pediatric Emergency Medicine, Department of Pediatrics, The Hospital for Sick Children, Toronto, ON, Canada.
Ahmed MoussaDivision of Neonatology, Department of Pediatrics, CHU Sainte-Justine, Montreal, QC, Canada. ahmed.moussa@umontreal.ca.ORCID https://orcid.org/0000-0002-2556-6970

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Simulation is an effective training method for neonatal resuscitation (NR). However, the limitations brought about by the COVID-19 pandemic, and other resource constraints, have necessitated exploring alternatives. Virtual reality (VR), particularly 360-degree VR videos, have gained attraction in medical training due to their immersive qualities. The primary objectives of the study were to produce a high quality 360-degree virtual reality (VR) video capturing NR simulation and to determine if it could be an acceptable adjunct to teach NR. The secondary objective was to determine which aspects of NR could benefit from the incorporation of such a video in training. This was an exploratory development study. The first part consisted of producing the video using a GoPro action camera, Adobe Premiere Pro, and Unity Editor. In the second part participants were recruited, based on level of experience, to watch the video and answer questionnaires to determine acceptability (user experience and cognitive load) and aspects of NR which could benefit from the video. The video was successfully developed. Forty-six participants showed a strong general appreciation. User experience revealed high means (> 6) in the positive subscales and low means (< 4) for immersion side effect, with no difference between groups. Cognitive load was higher than anticipated. Participants indicated that this video could be effective for teaching crisis resource management principles, human and environment interactions, and procedural skills. The 360-degree VR video could be a potential new simulation adjunct for NR. Future studies are needed to evaluate learning outcomes of such videos.

Indexed as

COVID-19ResuscitationVideo RecordingVirtual RealityAdultFemaleHumansInfant, NewbornMalePandemicsSARS-CoV-2Simulation Training

Identifiers

PMID38909130
PMCPMC11193781

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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.