Utilizing Behavioral Science to Improve Antibiotic Prescribing in Rural Urgent Care Settings

BACKGROUND: Antibiotic-inappropriate prescribing for acute respiratory tract infections (ARTI) is 45% among urgent care centers (UCCs) in the United States. Locally in our UCCs, antibiotic-inappropriate prescribing for ARTI is higher—over 70%. METHODS: We used a quasi-experimental design to implement 3 behavioral interventions targeting antibiotic-inappropriate/non-guideline-concordant prescribing for ARTI at 3 high-volume rural UCCs and analyzed prescribing rates pre- and post-intervention. The 3 interventions were (1) staff/patient education, (2) public commitment, and (3) peer comparison. For peer comparison, providers were sent feedback emails with their prescribing data during the intervention period and a blinded ranking email comparing them with their peers. Providers were categorized as “low prescribers” (ie, ≤23% antibiotic-inappropriate prescriptions based off the US National Action Plan for Combating Antibiotic Resistant Bacteria 2020 goal) or “high prescribers” (ie, ≥45%—the national average of antibiotic-inappropriate prescribing for ARTI). An interrupted time series (ITS) analysis compared prescribing for ARTI (the primary outcome) over a 16-month period before the intervention and during the 6-month intervention period, for a total of 22 months, across the 3 UCCs. RESULTS: Fewer antibiotic-inappropriate prescriptions were written during the intervention period (57.7%) compared with the pre-intervention period (72.6%) in the 3 UCCs, resulting in a 14.9% absolute decrease in percentage of antibiotic-inappropriate prescriptions. The ITS analysis revealed that the rate of antibiotic-inappropriate prescribing was statistically significantly different pre-intervention compared with the intervention period (95% confidence interval, –4.59 to –0.59; P = .014). CONCLUSIONS: In this sample of rural UCCs, we reduced antibiotic-inappropriate prescribing for ARTI using 3 behavioral interventions.