Background: Infant antibiotic use is associated with increased risk of asthma. We examined the population impact of antibiotic exposure in the first year of life on the burden of pediatric asthma in British Columbia, Canada, using simulation modeling.
Methods: We performed a Bayesian meta-analysis of empirical studies to construct dose-response equations between antibiotic exposure in the first year of life and pediatric (<19 years of age) asthma.
Objective: To evaluate the impact of a personalised audit and feedback prescribing report (AF) and brief educational summary (ES) on empiric treatment of uncomplicated lower urinary tract infections (UTIs) by family physicians (FPs).
Design: Cluster randomised control trial.
Setting: The intervention was conducted in British Columbia, Canada between 23 September 2021 and 28 March 2022.
Background: This study follows published associations in BC to 2014 (updated in 2019) to model the predicted incidence of asthma in BC children attributable to antibiotic use within the context of reduced antibiotic use and increased breastfeeding in BC infants from 2000 to 2019.
Methods: A population-based ecological study was conducted in BC from 2000 to 2019, using outpatient antibiotic prescription data from BC PharmaNet and asthma diagnoses from the Chronic Disease Registry. Breastfeeding estimates were calculated using the Canadian Community Health Survey (CCHS).