A Prospective Randomized Controlled Trial of Nonpharmacological Pain Management During Intravenous Cannulation in a Pediatric Emergency Department
Abstract
OBJECTIVES: Intravenous (IV) cannulation is commonly performed in pediatric emergency departments (EDs). The busy ED environment is often not conducive to conventional nonpharmacological pain management. This study assessed the use of Ditto (Diversionary Therapy Technologies, Brisbane, Australia), a handheld electronic device which provides procedural preparation and distraction, as a means of managing pain and distress during IV cannulation performed in the pediatric ED.
METHODS: A randomized controlled trial with 98 participants, aged 3 to 12 years, was conducted in a pediatric ED. Participants were recruited and randomized into 5 intervention groups as follows: (1) Standard Distraction, (2) PlayStation Portable Distraction, (3) Ditto Distraction, (4) Ditto Procedural Preparation, and (5) Ditto Preparation and Distraction. Children's pain and distress levels were assessed via self-reports and observational reports by caregivers and nursing staff across the following 3 time points: (1) before, (2) during, and (3) after IV cannulation.
RESULTS: Caregivers and nursing staff reported significantly reduced pain and distress levels in children accessing the combined preparation and distraction Ditto protocol, as compared to standard distraction (P ≤ 0.01). This intervention also saw the greatest reduction in pain and distress as reported by the child.
CONCLUSIONS: Caregiver reports indicate that using the combined Ditto protocol was most effective in reducing children's pain…
How strong is the evidence?
Evidence Hub reads this as a randomized trial, done in people. Its evidence level is 2 of 5 (High · randomized trial). Randomized trials of a reasonable size are the strongest single-study design. Reported size: 98 participants or records.
Read the paper
Related studies
- The Matrisome: In Silico Definition and In Vivo Characterization by Proteomics of Normal and Tumor Extracellular Matrices
- The Escherichia coli MG1655 in silico metabolic genotype: Its definition, characteristics, and capabilities
- In silico pharmacology for drug discovery: methods for virtual ligand screening and profiling
- In silico prediction of splice-altering single nucleotide variants in the human genome
- In silico clinical trials: how computer simulation will transform the biomedical industry
- In silico optimization of a guava antimicrobial peptide enables combinatorial exploration for peptide design
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.