Impact of a Dynamic Visualized Pain Assessment Tool on Pediatric Pain Management: A Stepped-Wedge Cluster Randomized Trial.

J Vis ExpOct 13, 2026 (epub)
Clinical ResearchPediatricsAnesthesiology

Yue Wang, Qiong Wu, Yusi Wang

✦ AI-curated · Sources linked

In 30 seconds

This stepped-wedge cluster randomized trial evaluated a dynamic visualized pain assessment tool across five clinical wards, involving 15 infants and 45 video segments spanning baseline, procedural pain, and postoperative recovery. The tool combined facial video with physiological monitoring to display pain trajectories and alerts. Nursing response latency decreased from 15.4 to 6.7 min (P < 0.001), while assessment consistency increased (intraclass correlation coefficient [ICC]: 0.71-0.93). The abstract also reports higher pediatric satisfaction scores and lower parental anxiety, without providing quantitative estimates for these outcomes.

Key findings

  • Nursing response latency fell from 15.4 to 6.7 min (P < 0.001) after implementation of the tool.
  • Assessment consistency increased, with the intraclass correlation coefficient reported as 0.71-0.93.
  • Pediatric satisfaction scores rose and parental anxiety levels decreased; quantitative estimates were not reported.

Why it matters

Pain can fluctuate rapidly in infants, while behavioral assessment may depend on observer judgment. A tool that visualizes pain trajectories alongside physiological monitoring could support more consistent assessment and faster nursing responses. The reported improvements are encouraging, but the small infant sample and limited outcome detail mean the findings should be interpreted as preliminary rather than definitive evidence of improved patient outcomes.

What to keep in mind

The study involved only 15 infants across five wards, and the abstract provides no quantitative estimates for satisfaction or parental anxiety outcomes.

Source

Published in J Vis Exp. This summary was written by xxcode from the publication's abstract and metadata. It is not peer reviewed and is not a substitute for the original article. For clinical decisions, review the original publication.

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AI-generated summaries may contain errors or omissions. Verify clinically important information with the original publication.

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