VET-SAVR: Virtual Reality Feasibility Study for Suicide Prevention Training

VET-SAVR is a dataset from a mixed-methods feasibility study evaluating a prototype virtual reality simulation for suicide prevention training. The study involved 30 participants who used Meta Quest 2 headsets to complete a home visit simulation, with measures including presence, engagement, and cue recall. The dataset, authored by Donna Schuman and last updated in May 2026, is available under a CC-BY-4.0 license.

Use Cases

• Analyze the relationship between VR presence metrics and user engagement based on ITC-Sense of Presence Inventory scores.
• Evaluate the recall frequency of different suicide risk indicators (e.g., firearms, alcohol, isolation) embedded in the simulation.
• Compare user feedback and representativeness ratings across different participant groups (students, health professionals, community members).

Strengths

• Includes quantitative results from 30 participants, with specific mean scores for spatial presence (M=3.40-3.70) and engagement (M=3.63-4.01).
• Reports high recall rates for salient visual cues like firearms (93.3%) and alcohol (83.3%).
• Most participants (≥80%) endorsed the simulation's realism, supporting its face validity.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 15.0 KB, indicating limited scope.

Provenance

Source

Donna Schuman via figshare.

Collection Method

Data collected during a mixed-methods feasibility study following the ADDIE instructional design framework.

Freshness

Last updated 2026-05-20 20:25:53; freshness should be verified.