The Influence of Rapid Influenza Diagnostic Testing on Clinician Decision-making for Patients with Acute Respiratory Infection in Urgent Care

Stamm BD, Tamerius J, Reddy S, Barlow S, Hamer C, Kempken A, Goss M, He C, Bell C, Arnold M, Checovich M, Temte E, Norton D, Chen G, Baltus J, Gurley ES, Temte JL

BACKGROUND

The potential benefits of utilizing rapid influenza diagnostic tests (RIDT) in urgent care facilities on clinical care and prescribing practices are understudied. We compared antiviral and antibiotic prescribing, imaging, and laboratory ordering in clinical encounters with and without RIDT results.

METHODS

Our study compared patients with acute respiratory infection (ARI) symptoms who received an RIDT and patients who did not at two urgent care facilities. Primary analysis using one-to-one exact matching resulted in 1145 matched pairs to which McNemar's 2x2 tests were used to assess association between the likelihood of prescribing, imaging or laboratory ordering, and RIDT use. Secondary analysis compared the same outcomes using logistic regression among the RIDT-tested population between participants who tested negative (RIDT(-)) and positive (RIDT(+)).

RESULTS

Primary analysis identified that compared to patients without RIDT testing, RIDT(+) patients were more likely to be prescribed antivirals (OR:10.23; 95% CI:5.78-19.72) and less likely to be prescribed antibiotics (OR:0.15; 95% CI:0.08-0.27). Comparing all RIDT-tested participants to all non-RIDT-tested participants, RIDT use increased antiviral prescribing odds (OR:3.07; 95% CI:2.25-4.26) and reduced antibiotic prescribing odds (OR:0.52; 95% CI:0.43-0.63). The secondary analysis identified an increased odds of prescribing antivirals (OR:28.21; 95% CI:18.15-43.86; P <0.0001) and a decreased odds of prescribing antibiotics (OR:0.20; 95% CI:0.13-0.30; P <0.0001) for RIDT(+) participants compared to RIDT(-).

CONCLUSIONS

Utilization of RIDTs in patients presenting to urgent care with ARI symptoms influences clinician diagnostic and treatment decision-making, which could lead to improved patient outcomes, population-level reductions in influenza burden, and a decreased threat of antibiotic resistance.