2089. Effect of the Duke Antimicrobial Stewardship Outreach Network (DASON): A Multi-Center Time Series Analysis Article Swipe
YOU?
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· 2019
· Open Access
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· DOI: https://doi.org/10.1093/ofid/ofz360.1769
Background DASON is a 30-member, community hospital network in the southeastern United States that supports the development and growth of local antibiotic stewardship programs (ASPs). Collaborative activities include on-site visits from liaison clinical pharmacists, data sharing for routine feedback and benchmarking, and educational programs. Methods We performed a retrospective cohort analysis of antibiotic use (AU) in 17 hospitals that participated in DASON for a minimum of 42 months during 2013–2018. Segmented negative binomial regression models were used to estimate the change in facility-wide AU after an initial 1-year assessment, planning, and ASP intervention initiation period. Baseline AU trend (1 to 12 months) was compared against AU following the first year (13 to 42 months). Monthly AU rates were measured in days of therapy (DOT) per 1,000 patient-days (pd). Models assessed overall AU and specific antibiotic groups, as defined by the National Healthcare Safety Network AU option. The models controlled for hospital size, presence of a pre-existing formal ASP upon network entry, and year of network entry. Results Hospital data included a total of 2,988,930 pd over 5 years. Facility-wide AU was increasing during the first year of network entry and then began decreasing by 0.2% per month (P = 0.01, figure). Fluoroquinolone use was stagnant in year one and then decreased by 1.5% per month (P ≤ 0.001, figure). Antifungal agents were decreasing in year one and continued to decrease 0.7% per month thereafter (P = 0.03, figure). Agents predominantly used for resistant Gram-positive infections and broad-spectrum agents used for hospital-onset infections were increasing during year one and then attenuated afterward, though the slope change did not reach statistical significance. The presence of a pre-existing formal ASP was not a significant covariate in any model, while bed size and year of network entry significantly contributed to models of some antibiotic groups. Conclusion Participation in DASON was associated with a decline in total AU and fluoroquinolone use, and a trend toward attenuated use of other broad-spectrum agents in community hospitals. Collaborative network experiences can help local ASPs achieve reductions in AU. Disclosures All authors: No reported disclosures.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/ofid/ofz360.1769
- https://academic.oup.com/ofid/article-pdf/6/Supplement_2/S705/30275942/ofz360.1769.pdf
- OA Status
- gold
- Cited By
- 3
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2981602663
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2981602663Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1093/ofid/ofz360.1769Digital Object Identifier
- Title
-
2089. Effect of the Duke Antimicrobial Stewardship Outreach Network (DASON): A Multi-Center Time Series AnalysisWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-10-01Full publication date if available
- Authors
-
Michael E Yarrington, Elizabeth Dodds Ashley, Melissa D. Johnson, Angelina Davis, April Dyer, Travis Jones, Daniel J. Sexton, Deverick J. Anderson, Rebekah W. MoehringList of authors in order
- Landing page
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https://doi.org/10.1093/ofid/ofz360.1769Publisher landing page
- PDF URL
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https://academic.oup.com/ofid/article-pdf/6/Supplement_2/S705/30275942/ofz360.1769.pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
- OA URL
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https://academic.oup.com/ofid/article-pdf/6/Supplement_2/S705/30275942/ofz360.1769.pdfDirect OA link when available
- Concepts
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Medicine, Antimicrobial stewardship, Outreach, Benchmarking, Cohort, Emergency medicine, Interrupted Time Series Analysis, Pediatrics, Antibiotics, Internal medicine, Mathematics, Business, Statistics, Microbiology, Political science, Law, Biology, Antibiotic resistance, MarketingTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2023: 1, 2021: 2Per-year citation counts (last 5 years)
- Related works (count)
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10Other works algorithmically related by OpenAlex
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