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Impact of different COVID-19 encounter definitions on antibiotic prescribing rates in urgent care
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 utilizat...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9614951/ http://dx.doi.org/10.1017/ash.2022.63 |
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author | Onguti, Sharon Ha, David Mui, Emily Chang, Amy Stenehjem, Eddie Hersh, Adam Holubar, Marisa |
author_facet | Onguti, Sharon Ha, David Mui, Emily Chang, Amy Stenehjem, Eddie Hersh, Adam Holubar, Marisa |
author_sort | Onguti, Sharon |
collection | PubMed |
description | 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 |
format | Online Article Text |
id | pubmed-9614951 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-96149512022-10-29 Impact of different COVID-19 encounter definitions on antibiotic prescribing rates in urgent care Onguti, Sharon Ha, David Mui, Emily Chang, Amy Stenehjem, Eddie Hersh, Adam Holubar, Marisa Antimicrob Steward Healthc Epidemiol Antibiotic Stewardship 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 Cambridge University Press 2022-05-16 /pmc/articles/PMC9614951/ http://dx.doi.org/10.1017/ash.2022.63 Text en © The Society for Healthcare Epidemiology of America 2022 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Antibiotic Stewardship Onguti, Sharon Ha, David Mui, Emily Chang, Amy Stenehjem, Eddie Hersh, Adam Holubar, Marisa Impact of different COVID-19 encounter definitions on antibiotic prescribing rates in urgent care |
title | Impact of different COVID-19 encounter definitions on antibiotic prescribing rates in urgent care |
title_full | Impact of different COVID-19 encounter definitions on antibiotic prescribing rates in urgent care |
title_fullStr | Impact of different COVID-19 encounter definitions on antibiotic prescribing rates in urgent care |
title_full_unstemmed | Impact of different COVID-19 encounter definitions on antibiotic prescribing rates in urgent care |
title_short | Impact of different COVID-19 encounter definitions on antibiotic prescribing rates in urgent care |
title_sort | impact of different covid-19 encounter definitions on antibiotic prescribing rates in urgent care |
topic | Antibiotic Stewardship |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9614951/ http://dx.doi.org/10.1017/ash.2022.63 |
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