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1240. Antibiotic Prescribing in US Nursing Homes Using National Pharmacy Transaction Data
BACKGROUND: Antibiotics are frequently prescribed inappropriately in nursing homes (NHs); however, national estimates of NH antibiotic use are limited. We aimed to describe antibiotic prescribing in US NHs to identify potential targets for antibiotic stewardship. METHODS: A descriptive analysis was...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6254256/ http://dx.doi.org/10.1093/ofid/ofy210.1073 |
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author | Palms, Danielle Kabbani, Sarah Bartoces, Monina Hyun, David Y Baggs, James Stone, Nimalie D Hicks, Lauri A |
author_facet | Palms, Danielle Kabbani, Sarah Bartoces, Monina Hyun, David Y Baggs, James Stone, Nimalie D Hicks, Lauri A |
author_sort | Palms, Danielle |
collection | PubMed |
description | BACKGROUND: Antibiotics are frequently prescribed inappropriately in nursing homes (NHs); however, national estimates of NH antibiotic use are limited. We aimed to describe antibiotic prescribing in US NHs to identify potential targets for antibiotic stewardship. METHODS: A descriptive analysis was conducted using the 2014 proprietary IQVIA long-term care (LTC) Xponent database, which captures oral and intravenous antibiotic prescription transactions from sampled LTC pharmacies representing 70–85% of the LTC market. The data are projected to 100% of the US LTC market. Denominators for rate calculations were captured from the 2014 Minimum Data Set as the number of residents with at least one resident day in an NH in 2014. Antibiotic transaction counts and rates were calculated by resident gender, age, US census region, route of administration, antibiotic class and agent, and total transaction counts were summarized by provider type. Prescribing patterns for antibiotic classes and agents stratified by resident age were also calculated. RESULTS: In 2014, there were over 14 million antibiotic transactions in LTC pharmacies, for a rate of 3,302 per 1,000 residents. Female residents accounted for 62% of antibiotic transactions at a rate of 3,305 transactions per 1,000 residents compared with 3,240 per 1,000 male residents. Antibiotic prescribing was highest in the South at 3,752 transactions per 1,000 residents (vs. 2,601 per 1,000 residents in the West). Oral antibiotics accounted for 85% of transactions. Fluoroquinolones were the most frequently prescribed antibiotic class (22%; 723 transactions per 1,000 residents) and the most common agents were levofloxacin, ciprofloxacin, and sulfamethoxazole–trimethoprim. Stratified by age, the percent change in prescribing rates among residents aged <85 to residents aged ≥85 was largest for fluoroquinolones (645 vs. 883) and urinary anti-infectives (210 vs. 319). Internal medicine and family practice providers accounted for 37% and 32% of all antibiotic transactions, respectively. CONCLUSION: A potential antibiotic stewardship target in NHs is fluoroquinolone prescribing. Targeting states in the South for interventions may have the largest impact. [Image: see text] Figure. Antibiotic prescribing rates in long-term care by U.S. census regions DISCLOSURES: All authors: No reported disclosures. |
format | Online Article Text |
id | pubmed-6254256 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-62542562018-11-28 1240. Antibiotic Prescribing in US Nursing Homes Using National Pharmacy Transaction Data Palms, Danielle Kabbani, Sarah Bartoces, Monina Hyun, David Y Baggs, James Stone, Nimalie D Hicks, Lauri A Open Forum Infect Dis Abstracts BACKGROUND: Antibiotics are frequently prescribed inappropriately in nursing homes (NHs); however, national estimates of NH antibiotic use are limited. We aimed to describe antibiotic prescribing in US NHs to identify potential targets for antibiotic stewardship. METHODS: A descriptive analysis was conducted using the 2014 proprietary IQVIA long-term care (LTC) Xponent database, which captures oral and intravenous antibiotic prescription transactions from sampled LTC pharmacies representing 70–85% of the LTC market. The data are projected to 100% of the US LTC market. Denominators for rate calculations were captured from the 2014 Minimum Data Set as the number of residents with at least one resident day in an NH in 2014. Antibiotic transaction counts and rates were calculated by resident gender, age, US census region, route of administration, antibiotic class and agent, and total transaction counts were summarized by provider type. Prescribing patterns for antibiotic classes and agents stratified by resident age were also calculated. RESULTS: In 2014, there were over 14 million antibiotic transactions in LTC pharmacies, for a rate of 3,302 per 1,000 residents. Female residents accounted for 62% of antibiotic transactions at a rate of 3,305 transactions per 1,000 residents compared with 3,240 per 1,000 male residents. Antibiotic prescribing was highest in the South at 3,752 transactions per 1,000 residents (vs. 2,601 per 1,000 residents in the West). Oral antibiotics accounted for 85% of transactions. Fluoroquinolones were the most frequently prescribed antibiotic class (22%; 723 transactions per 1,000 residents) and the most common agents were levofloxacin, ciprofloxacin, and sulfamethoxazole–trimethoprim. Stratified by age, the percent change in prescribing rates among residents aged <85 to residents aged ≥85 was largest for fluoroquinolones (645 vs. 883) and urinary anti-infectives (210 vs. 319). Internal medicine and family practice providers accounted for 37% and 32% of all antibiotic transactions, respectively. CONCLUSION: A potential antibiotic stewardship target in NHs is fluoroquinolone prescribing. Targeting states in the South for interventions may have the largest impact. [Image: see text] Figure. Antibiotic prescribing rates in long-term care by U.S. census regions DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2018-11-26 /pmc/articles/PMC6254256/ http://dx.doi.org/10.1093/ofid/ofy210.1073 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Abstracts Palms, Danielle Kabbani, Sarah Bartoces, Monina Hyun, David Y Baggs, James Stone, Nimalie D Hicks, Lauri A 1240. Antibiotic Prescribing in US Nursing Homes Using National Pharmacy Transaction Data |
title | 1240. Antibiotic Prescribing in US Nursing Homes Using National Pharmacy Transaction Data |
title_full | 1240. Antibiotic Prescribing in US Nursing Homes Using National Pharmacy Transaction Data |
title_fullStr | 1240. Antibiotic Prescribing in US Nursing Homes Using National Pharmacy Transaction Data |
title_full_unstemmed | 1240. Antibiotic Prescribing in US Nursing Homes Using National Pharmacy Transaction Data |
title_short | 1240. Antibiotic Prescribing in US Nursing Homes Using National Pharmacy Transaction Data |
title_sort | 1240. antibiotic prescribing in us nursing homes using national pharmacy transaction data |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6254256/ http://dx.doi.org/10.1093/ofid/ofy210.1073 |
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