Inappropriate antibiotic use significantly contributes to antibiotic resistance, resulting in reduced antibiotic efficacy and an increased burden of disease. The objective of this study was to investigate the characteristics of prescribers whose antibiotics use was high and to explore factors affecting the use of antibiotics by medical institutions. This study analyzed the National Health Insurance claims data from 2015. Antibiotic prescription data were analyzed in terms of the number of defined daily doses per 1,000 patients per day, according to the World Health Organization anatomical-therapeutic-chemical classification and methodologies for measuring the defined daily dose. We investigated the characteristics of prescribers and medical institutions with high antibiotic use. Multivariate regression analyses were performed on the basis of characteristics of the medical institution (number of patients, type of medical institution [hospital or clinic], age of the physician, etc.). The number of patients and number of beds were found to be significant factors affecting antibiotic use in hospitals, and the number of patients, region, and medical department were significant factors affecting antibiotic use at the level of medical institutions. These findings are expected to help policy-makers to better target future interventions to promote prudent antibiotic prescription.
Anti-Bacterial Agents ; Classification ; Drug Resistance, Microbial ; Humans ; National Health Programs ; Prescriptions ; World Health Organization

Inappropriate antibiotic use significantly contributes to antibiotic resistance, resulting in reduced antibiotic efficacy and an increased burden of disease. The objective of this study was to investigate the characteristics of prescribers whose antibiotics use was high and to explore factors affecting the use of antibiotics by medical institutions. This study analyzed the National Health Insurance claims data from 2015. Antibiotic prescription data were analyzed in terms of the number of defined daily doses per 1,000 patients per day, according to the World Health Organization anatomical-therapeutic-chemical classification and methodologies for measuring the defined daily dose. We investigated the characteristics of prescribers and medical institutions with high antibiotic use. Multivariate regression analyses were performed on the basis of characteristics of the medical institution (number of patients, type of medical institution [hospital or clinic], age of the physician, etc.). The number of patients and number of beds were found to be significant factors affecting antibiotic use in hospitals, and the number of patients, region, and medical department were significant factors affecting antibiotic use at the level of medical institutions. These findings are expected to help policy-makers to better target future interventions to promote prudent antibiotic prescription.