Analysis of a high-prescribing state’s 2016 outpatient antibiotic prescriptions: Implications for outpatient antimicrobial stewardship interventions

Abstract

OBJECTIVE: To identify prescriber characteristics that predict antibiotic high-prescribing behavior to inform statewide antimicrobial stewardship interventions. DESIGN: Retrospective analysis of 2016 IQVIA Xponent, formerly QuintilesIMS, outpatient retail pharmacy oral antibiotic prescriptions in Tennessee. SETTING: Statewide retail pharmacies filling outpatient antibiotic prescriptions. PARTICIPANTS: Prescribers who wrote at least 1 antibiotic prescription filled at a retail pharmacy in Tennessee in 2016. METHODS: Multivariable logistic regression, including prescriber gender, birth decade, specialty, and practice location, and patient gender and age group, to determine the association with high prescribing. RESULTS: In 2016, 7,949,816 outpatient oral antibiotic prescriptions were filled in Tennessee: 1,195 prescriptions per 1,000 total population. Moreover, 50% of Tennessee's outpatient oral antibiotic prescriptions were written by 9.3% of prescribers. Specific specialties and prescriber types were associated with high prescribing: urology (odds ratio [OR], 3.249; 95% confidence interval [CI], 3.208-3.289), nurse practitioners (OR, 2.675; 95% CI, 2.658-2.692), dermatologists (OR, 2.396; 95% CI, 2.365-2.428), physician assistants (OR, 2.382; 95% CI, 2.364-2.400), and pediatric physicians (OR, 2.340; 95% CI, 2.320-2.361). Prescribers born in the 1960s were most likely to be high prescribers (OR, 2.574; 95% CI, 2.532-2.618). Prescribers in rural areas were more likely than prescribers in all other practice locations to be high prescribers. High prescribers were more likely to prescribe broader-spectrum antibiotics (P < .001). CONCLUSIONS: Targeting high prescribers, independent of specialty, degree, practice location, age, or gender, may be the best strategy for implementing cost-conscious, effective outpatient antimicrobial stewardship interventions. More information about high prescribers, such as patient volumes, clinical scope, and specific barriers to intervention, is needed.