Impact of different COVID-19 encounter definitions on antibiotic prescribing rates in urgent care. (July 2022)

• Record Type: Journal Article
• Authors: Onguti, Sharon; Ha, David; Mui, Emily; Chang, Amy; Stenehjem, Eddie; Hersh, Adam; Holubar, Marisa
• Is Part Of: Antimicrobial stewardship & healthcare epidemiology. Volume 2(2022)Supplement 1
• Page Start: s5
• Page End: s5
• Publication Date: 2022-07
• Subjects: Anti-infective agents -- Periodicals; Nosocomial infections -- Prevention -- Periodicals; Epidemiology -- Periodicals; 614.44
• DOI: 10.1017/ash.2022.63
• Languages: English
• ISSNs: 2732-494X

Abstract

Abstract : Background: Billing data have been used in the outpatient setting to identify targets for antimicrobial stewardship. However, COVID-19 ICD-10 codes are new, and the validity of using COVID-19 ICD-10 codes to accurately identify COVID-19 encounters is unknown. We investigated COVID-19 ICD-10 utilization in our urgent care clinics during the pandemic and the impact of using different COVID-19 encounter definitions on antibiotic prescribing rates (APRs). Methods: We included all telemedicine and office visits at 2 academic urgent-care clinics from January 2020 to September 2021. We extracted ICD-10 encounter codes and testing data from the electronic medical record. We compared encounters for which COVID-19 ICD-10 codes were present with encounters for which SARS-CoV-2 nucleic acid amplification testing (NAAT) was performed within 5 days of and up to 2 days after the encounter (Fig. 1 ). We calculated the sensitivity of the use of COVID-19 ICD-10 codes against a positive NAAT. We calculated the APR as the proportion of encounters in which an antibacterial drug was prescribed. This quality improvement project was deemed non–human-subjects research by the Stanford Panel on Human Subjects in Medical Research. Funding: None Disclosures: None