OBJECTIVE: This study aimed to investigate the factors affecting the geographic differences in antibiotic prescription rates in pediatric upper respiratory tract infections (URI) patients in South Korea. MATERIALS AND METHODS: We performed a nationwide cross-sectional study using 228 administrative districts of Korea, which are the unit of analysis. Prescription rate of antibiotics, the outcome variable, was measured as the proportion of antibiotic prescription days out of total visit days for the treatment of acute URIs using National Health Insurance Service (NHIS) claims data for 2012. Multivariate regression analysis was performed to identify factors affecting geographic variation in antibiotic prescription rates. RESULTS: The socioeconomic status of the district, as measured by the amount of local property tax payable and the proportion of individuals with higher level of education, were negatively correlated with prescription rate. The degree of competition in the hospital market within a district was positively associated with it. Patients living in areas with better access to family medicine physicians and those living in rural areas were less likely to use antibiotics to treat URIs. CONCLUSION: Our findings indicate the importance of considering demand factors as well as supply factors when developing intervention strategies for antibiotic overuse. .
OBJECTIVE: This study aimed to investigate the factors affecting the geographic differences in antibiotic prescription rates in pediatric upper respiratory tract infections (URI) patients in South Korea. MATERIALS AND METHODS: We performed a nationwide cross-sectional study using 228 administrative districts of Korea, which are the unit of analysis. Prescription rate of antibiotics, the outcome variable, was measured as the proportion of antibiotic prescription days out of total visit days for the treatment of acute URIs using National Health Insurance Service (NHIS) claims data for 2012. Multivariate regression analysis was performed to identify factors affecting geographic variation in antibiotic prescription rates. RESULTS: The socioeconomic status of the district, as measured by the amount of local property tax payable and the proportion of individuals with higher level of education, were negatively correlated with prescription rate. The degree of competition in the hospital market within a district was positively associated with it. Patients living in areas with better access to family medicine physicians and those living in rural areas were less likely to use antibiotics to treat URIs. CONCLUSION: Our findings indicate the importance of considering demand factors as well as supply factors when developing intervention strategies for antibiotic overuse. .