Statistical Analysis
hospital-assessed injuries
REGRESSION
The sample size was based on the primary outcome, high self-efficacy, assuming 50% of caregivers reported high self-efficacy and a 40% response rate. Detecting a 5% increase required a total of 3300 completed surveys (80% power, 2-sided Before the trial, a statistical analysis plan was developed with intention-to-treat (ITT) as the primary approach. Categorical outcomes were analyzed by proportional differences with Fischer exact test. For continuous and ordinal variables, the Mann-Whitney-Wilcoxon test was used. We calculated odds ratios (OR) and corresponding 95% CIs using unconditional logistic regression to determine the link between exposure and outcomes.As a sensitivity measure, we conducted a per-protocol analysis, which included caregivers in the intervention group who viewed 1 or more video tutorials and caregivers in the control group who received standard telephone triage. Children with hospital-assessed injuries were excluded from both groups. The median child’s age deviated between the groups, and to address the potential confounding effect, outcomes were analyzed using a generalized linear model with a binomial distribution adjusted for the child’s age in tertiles with an equal distribution: 0.5 to 1.5, 1.6 to 3.9, and 4.0 to 11.9 years. Adjusted results are reported as ORs (aOR) with a corresponding 95% CIs.All statistical analyses were performed after completed blinded data collection using RStudio statistical software, version 2022.07.01 (R Project for Statistical Computing). The threshold for statistical significance was set at 2-sided 