Outpatient Antibiotic and Antiviral Utilization Patterns in Patients Tested for Respiratory Pathogens in the United States: A Real-World Database Study
- PMID: 36009927
- PMCID: PMC9405217
- DOI: 10.3390/antibiotics11081058
Outpatient Antibiotic and Antiviral Utilization Patterns in Patients Tested for Respiratory Pathogens in the United States: A Real-World Database Study
Abstract
This retrospective observational study evaluated outpatient treatment patterns among patients with molecular-based viral diagnostic testing for suspected upper respiratory tract infections in the United States. Patients with a respiratory viral test were identified from 1 August 2016 to 1 July 2019 in a large national reference laboratory database linked to IQVIA's prescription and medical claims databases. Antibiotic and influenza antiviral treatment patterns were reported up to 7 days post-test result. Predictors of antibiotic utilization were assessed using multivariable logistic regression. Among 9561 patients included in the study, 24.6% had evidence of ≥1 filled antibiotic prescription. Antibiotic utilization was higher in patients who tested negative for all viral targets (odds ratio [OR], 1.33; 95% confidence interval [CI], 1.17-1.50) and patients positive for non-influenza viruses (OR, 1.28; 95% CI, 1.09-1.51) compared with those influenza-positive only. Age ≥ 50 years and location outside of the northeast United States also predicted antibiotic utilization. Influenza antivirals were more common in influenza-positive patients compared with patients with other test results (32.5% vs. 3.6-9.0%). Thus, in this real-world study, antibiotic utilization was elevated in patients positive for non-influenza viruses, although antibiotics would generally not be indicated. Further research on pairing diagnostic tools with outpatient antibiotic stewardship programs is needed.
Keywords: antibiotic; antiviral; diagnostics; outpatients; real-world; respiratory tract infections; stewardship.
Conflict of interest statement
James Karichu, Brian Lee, and Susan N. Chang are employed by Roche Diagnostics Solutions. Mindy Cheng was formerly an employee of Roche Diagnostics Solutions at the time this study was conducted. Jenny Tse and Aimee M. Near are employees of IQVIA, which was paid by Roche Diagnostics Solutions to conduct the data analysis and manuscript writing.
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