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Improving Outpatient Antibiotic Prescribing for Respiratory Tract Infections in Primary Care: A Stepped-Wedge Cluster Randomized Trial

Dutcher L, Degnan K, Adu-Gyamfi AB, Lautenbach E, Cressman L, David MZ, Cluzet V, Szymczak JE et al.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2022

31 citations

Abstract

Background: Inappropriate antibiotic prescribing is common in primary care (PC), particularly for respiratory tract diagnoses (RTDs). However, the optimal approach for improving prescribing remains unknown.

Methods: We conducted a stepped-wedge study in PC practices within a health system to assess the impact of a provider-targeted intervention on antibiotic prescribing for RTDs. RTDs were grouped into tiers based on appropriateness of antibiotic prescribing: tier 1 (almost always indicated), tier 2 (may be indicated), and tier 3 (rarely indicated). Providers received education on appropriate RTD prescribing followed by monthly peer comparison feedback on antibiotic prescribing for (1) all tiers and (2) tier 3 RTDs. A χ 2 test was used to compare the proportion of visits with antibiotic prescriptions before and during the intervention. Mixed-effects multivariable logistic regression analysis was performed to assess the association between the intervention and antibiotic prescribing.

Results: Across 30 PC practices and 185 755 total visits, overall antibiotic prescribing was reduced with the intervention, from 35.2% to 23.0% of visits (P < .001). In multivariable analysis, the intervention was associated with a reduced odds of antibiotic prescription for tiers 2 (odds ratio [OR] 0.57; 95% confidence interval [CI] .52-.62) and 3 (OR 0.57; 95% CI .53-.61) but not for tier 1 (OR 0.98; 95% CI .83-1.16).

Conclusions: A provider-focused intervention reduced overall antibiotic…

How strong is the evidence?

Evidence Hub reads this as a randomized trial, done in people. Its evidence level is 2 of 5 (High · randomized trial). Randomized trials of a reasonable size are the strongest single-study design.

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