Cargando…
Antibiotic prescribing trends in the US during the first 11 months of the COVID-19 pandemic
BACKGROUND: The study aims to compare antibiotic prescribing trends for U.S. COVID-19 patients, categorized by disease severity, and non-COVID-19 population with similar symptoms during 2019–2020 pandemic. METHODS: A retrospective observational cohort design using Symphony Health (January–November 2...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9108895/ https://www.ncbi.nlm.nih.gov/pubmed/35589530 http://dx.doi.org/10.1016/j.sapharm.2022.05.008 |
_version_ | 1784708806499893248 |
---|---|
author | Desai, Karishma Arora, Prachi Ghanekar, Saurabh Johnson, Karin Harris, Ilene |
author_facet | Desai, Karishma Arora, Prachi Ghanekar, Saurabh Johnson, Karin Harris, Ilene |
author_sort | Desai, Karishma |
collection | PubMed |
description | BACKGROUND: The study aims to compare antibiotic prescribing trends for U.S. COVID-19 patients, categorized by disease severity, and non-COVID-19 population with similar symptoms during 2019–2020 pandemic. METHODS: A retrospective observational cohort design using Symphony Health (January–November 2020). Sample population included about 13.3 million patients with at least one prescription claim ±6 months from date of diagnosis of COVID-19 or COVID-19 like symptom. Cohorts were categorized based on diagnosis codes; COVID-19 positive cohorts 1 to 3 with severe, mild, and no symptoms, respectively and non-COVID-19 cohorts 4 and 5 with severe and mild symptoms, respectively. Descriptive statistics were calculated for demographic characteristics and acute antibiotic utilization (≤7 days) including total number of antibiotics, weekly rate of prescribing, and proportion of fills in three “appropriateness” categories (always appropriate, potentially appropriate, never appropriate). RESULTS: Three cohorts with a positive COVID-19 diagnosis code constituted a total of about 1.8 million patients (13.53%). About 22.79% of COVID-19 positive groups had severe symptoms, 24.43% had moderate symptoms and the majority, 52.78%, had no symptoms. In the analytical sample of 13 million, about 4.2 million antibiotic prescriptions were prescribed to 2.5 million patients (19%) within 7 days of the first diagnosis of either COVID-19 or COVID-19-like symptoms. Within the COVID-19 positive cohorts, about 11% received an antibiotic prescription, while the non-COVID-19 cohorts, about 19.70% received an antibiotic. Among patients with antibiotic prescriptions, about 37.01% were prescribed an antibiotic “appropriately”, 39.46% were prescribed a “potentially appropriate” antibiotic and about 22.64% received an “inappropriate” antibiotic. Among patients prescribed antibiotics, azithromycin was the most common, ranging from 21.80 to 44.80% for each cohort. CONCLUSIONS: Although the overall proportion of COVID-19 patients receiving antibiotics was much lower than non-COVID-19 patients, the findings suggest use of antibiotics persisted despite guidelines against widespread use, particularly for patients with moderate and mild COVID-19 symptoms. |
format | Online Article Text |
id | pubmed-9108895 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91088952022-05-16 Antibiotic prescribing trends in the US during the first 11 months of the COVID-19 pandemic Desai, Karishma Arora, Prachi Ghanekar, Saurabh Johnson, Karin Harris, Ilene Res Social Adm Pharm Article BACKGROUND: The study aims to compare antibiotic prescribing trends for U.S. COVID-19 patients, categorized by disease severity, and non-COVID-19 population with similar symptoms during 2019–2020 pandemic. METHODS: A retrospective observational cohort design using Symphony Health (January–November 2020). Sample population included about 13.3 million patients with at least one prescription claim ±6 months from date of diagnosis of COVID-19 or COVID-19 like symptom. Cohorts were categorized based on diagnosis codes; COVID-19 positive cohorts 1 to 3 with severe, mild, and no symptoms, respectively and non-COVID-19 cohorts 4 and 5 with severe and mild symptoms, respectively. Descriptive statistics were calculated for demographic characteristics and acute antibiotic utilization (≤7 days) including total number of antibiotics, weekly rate of prescribing, and proportion of fills in three “appropriateness” categories (always appropriate, potentially appropriate, never appropriate). RESULTS: Three cohorts with a positive COVID-19 diagnosis code constituted a total of about 1.8 million patients (13.53%). About 22.79% of COVID-19 positive groups had severe symptoms, 24.43% had moderate symptoms and the majority, 52.78%, had no symptoms. In the analytical sample of 13 million, about 4.2 million antibiotic prescriptions were prescribed to 2.5 million patients (19%) within 7 days of the first diagnosis of either COVID-19 or COVID-19-like symptoms. Within the COVID-19 positive cohorts, about 11% received an antibiotic prescription, while the non-COVID-19 cohorts, about 19.70% received an antibiotic. Among patients with antibiotic prescriptions, about 37.01% were prescribed an antibiotic “appropriately”, 39.46% were prescribed a “potentially appropriate” antibiotic and about 22.64% received an “inappropriate” antibiotic. Among patients prescribed antibiotics, azithromycin was the most common, ranging from 21.80 to 44.80% for each cohort. CONCLUSIONS: Although the overall proportion of COVID-19 patients receiving antibiotics was much lower than non-COVID-19 patients, the findings suggest use of antibiotics persisted despite guidelines against widespread use, particularly for patients with moderate and mild COVID-19 symptoms. Elsevier Inc. 2022-10 2022-05-13 /pmc/articles/PMC9108895/ /pubmed/35589530 http://dx.doi.org/10.1016/j.sapharm.2022.05.008 Text en © 2022 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Desai, Karishma Arora, Prachi Ghanekar, Saurabh Johnson, Karin Harris, Ilene Antibiotic prescribing trends in the US during the first 11 months of the COVID-19 pandemic |
title | Antibiotic prescribing trends in the US during the first 11 months of the COVID-19 pandemic |
title_full | Antibiotic prescribing trends in the US during the first 11 months of the COVID-19 pandemic |
title_fullStr | Antibiotic prescribing trends in the US during the first 11 months of the COVID-19 pandemic |
title_full_unstemmed | Antibiotic prescribing trends in the US during the first 11 months of the COVID-19 pandemic |
title_short | Antibiotic prescribing trends in the US during the first 11 months of the COVID-19 pandemic |
title_sort | antibiotic prescribing trends in the us during the first 11 months of the covid-19 pandemic |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9108895/ https://www.ncbi.nlm.nih.gov/pubmed/35589530 http://dx.doi.org/10.1016/j.sapharm.2022.05.008 |
work_keys_str_mv | AT desaikarishma antibioticprescribingtrendsintheusduringthefirst11monthsofthecovid19pandemic AT aroraprachi antibioticprescribingtrendsintheusduringthefirst11monthsofthecovid19pandemic AT ghanekarsaurabh antibioticprescribingtrendsintheusduringthefirst11monthsofthecovid19pandemic AT johnsonkarin antibioticprescribingtrendsintheusduringthefirst11monthsofthecovid19pandemic AT harrisilene antibioticprescribingtrendsintheusduringthefirst11monthsofthecovid19pandemic |