Effects of Virtual Reality Education on Procedural Pain and Anxiety During Venipuncture in Children: A Randomized Clinical Trial
Bibliographic record
Abstract
Background Venipuncture is one of the most frequent and frightening medical procedures for children. This randomized clinical trial aimed to evaluate whether pre-procedural immersive virtual reality (VR) education could decrease pain and anxiety during venipuncture procedure of children. Methods Sixty children scheduled for venipuncture at the phlebotomy unit were randomized into either the control or VR group. Before the procedure, children of the control group received conventional simple verbal instructions, whereas those of the VR group experienced a 4-min VR education regarding venipuncture. The primary outcome was the pain and anxiety of pediatric patients assessed with the children’s hospital of eastern ontario pain scale. Secondary outcomes were parental satisfaction, venipuncture time, repeated procedure and procedural difficulty rated by phlebotomists. Results The pain and anxiety score during the procedure was significantly lower in the VR group than in the control group (median [IQR], 6.0 [5.0–7.0] vs. 8.0 [6.0–9.8], P = 0.001). Parental satisfaction about the procedural process were higher in the VR group than in the control group ( P = 0.029), and the degree of procedural difficulty was lower in the VR group, compared to the control group ( P = 0.026). Conclusion The preprocedural VR education significantly reduced pain and anxiety of children and decreased the procedural difficulty of phlebotomists during venipuncture procedure. Clinical Trial Registration University hospital Medical Information Network Clinical Trials Registry (registration number: UMIN000042968, date of registration: January 9, 2021, URL: https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000049043 ).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".