Virtual Reality Anatomy Training Trial for Endotracheal Intubation

A randomized controlled trial in China compared immersive virtual reality-assisted versus conventional anatomy training for 90 novice non-anesthesiology residents. The study measured endotracheal intubation performance on a simulator, knowledge scores, and participant evaluations. The dataset, authored by Xu-Feng Zhang, was last updated in April 2026.

Use Cases

• Analyze the relationship between training method (IVR vs. conventional) and task-specific checklist scores for endotracheal intubation performance.
• Compare pre- and post-training multiple-choice question (MCQ) knowledge score gains between the two experimental groups.
• Evaluate participant-reported metrics like preference for training method, motivation, confidence, and enjoyment across groups.
• Assess the correlation between Global Rating Scale (GRS) scores and task-specific checklist scores in simulator-based assessments.

Strengths

• Data from a randomized controlled trial with 90 participants, providing a controlled experimental design.
• Includes multiple quantitative endpoints: performance scores (GRS, checklist), knowledge test scores, and participant evaluations.

Limitations

• Small sample size of 90 participants limits statistical power and generalizability of findings.
• Geographic bias as the study was conducted exclusively within China's Standardized Residency Training program.
• Dataset is a 805.3 KB DOCX file, indicating it is likely a manuscript or report rather than a structured data table, limiting direct computational analysis.

Provenance

Source

figshare, authored by Xu-Feng Zhang.

Collection Method

Data collected from a randomized controlled trial where 90 residents were assigned to two training groups and assessed on performance, knowledge, and evaluations.

Time Range

null

Freshness

null

Geography

China