Statistical analysis
REGRESSION
Patients’ baseline characteristics (age, gender, triage response and symptom) were described with frequency (number, percentage), median and interquartile range (IQR). Differences in triage response, symptoms registered by call-handler and hospital outcome between the video and telephone triage groups were analyzed using chi square-test, Mann–Whitney test, logistic regression or multinomial logistic regression as appropriate. Logistic regression and multinomial logistic regression models were presented as odds ratio (OR) estimated with corresponding 95% confidence intervals (95% CI) and were also used for analyzing the association between DOW and hospital assessment.DOW-scorings were grouped in low (1 + 2) medium (3) and high (4 + 5) in the regression analyses, due to few observations in some categories. As DOW-scores were not normally distributed, they were presented as median with corresponding IQR (interquartile range). Differences in DOW-scores between groups were tested with Kruskal Wallis-test. Association between DOW-score and triage mode was studied using Fisher’s exact test. A 95% CI for proportions was calculated by Wilson Binominal Proportion Confidence Interval. P values less than 0.05 in two-sided tests were considered statistically significant. The statistical analyses were made with SAS Enterprise Guide 7.1 (SAS Institute, Cary, NC, USA), and Open Source Epidemiologic Statistics for Public Health (A sample size of 774 children divided into two groups was needed in order to detect a 10-percentage point increase in children triaged to stay at home, from 56% in the general pediatric MH1813-population in 2018 [