Does Video-Based Operating Room Tour With 3D Virtual Reality Headsets Decrease Parents’ Anxiety?
Bibliographic record
Abstract
A virtual reality (VR) tour of the operating room (OR) can reduce parental anxiety by providing a realistic experience of an environment that may be unfamiliar or frightening. This study aimed to measure the impact of a 3-dimensional (3D) VR headset tour on parental anxiety. This quasi-experimental, 2-group, pre-post-test design study was conducted in Turkiye between October 2022 and July 2023. The State-Trait Anxiety Inventory (STAI) was used for parents' anxiety. Parents wеrе thеn randomly assignеd to thе control and intervention groups. In thе intervention group (n=30), parents received a tour of the OR with VR glasses for about 30 minutes on thе day bеforе surgеry. The control group (n=30) received routine hospital training about the surgical procedure. All children's parent completed the STAI scale before the day before surgery and again before immediate discharge, after 4 weeks, and 3 months. VR intervention did not impact anxiety scores before discharge and at 1 and 3 months after surgery. Parents in both groups experienced mild anxiety before surgery. The STAI trait anxiety score was higher in parents who had a daughter, lived separately, and worked part-time 1 month after surgery ( P =0.01). This study did not find a reduction in parental anxiety with VR headsets. A holistic approach should be taken to inform parents about OR, depending on their specific needs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".