Sample Size and Statistical Analysis
An optimal sample size of 2400 was determined based on the expected relative reduction in antibiotic prescriptions of 30%, at 80% power and a significance level of 5% [In addition, several subgroup analyses were performed. Due to the explorative character of subgroup analyses (those prespecified in statistical analysis plan, and those arising from observed data patterns), emphasis is laid on the clinical relevance of the observed effects. Statistical significance assessment for within-subgroup comparisons was done without adjustment for multiple test situations, consistently providing 95% confidence intervals (CIs) for obtained point estimates.Descriptive statistics tables were generated to summarize the characteristics of the patients. The information was categorized by site, gender, and age group. Results were reported either in absolute numbers (eg, number of subjects in a group) or summarized by mean, median, standard deviation, minimum, maximum, and quartiles, as appropriate. Data analysis was performed using R version 4.2.1 (R Foundation for Statistical Computing).