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Volume-adjusted antimicrobial prescribing rate: An automated method for identifying antimicrobial over-prescribers in ambulatory care

BACKGROUND: A major target for outpatient antimicrobial stewardship has been the unnecessary use of antimicrobials, particularly for acute respiratory tract infections (ARTIs). The objective of this study was to determine whether data electronically extracted from the medical record (i.e., volume-ad...

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Autores principales: Livorsi, Daniel, Linn, Carrie, Alexander, Bruce, Heintz, Brett, Tubbs, Traviss, Perencevich, Eli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5632234/
http://dx.doi.org/10.1093/ofid/ofx163.626
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author Livorsi, Daniel
Linn, Carrie
Alexander, Bruce
Heintz, Brett
Tubbs, Traviss
Perencevich, Eli
author_facet Livorsi, Daniel
Linn, Carrie
Alexander, Bruce
Heintz, Brett
Tubbs, Traviss
Perencevich, Eli
author_sort Livorsi, Daniel
collection PubMed
description BACKGROUND: A major target for outpatient antimicrobial stewardship has been the unnecessary use of antimicrobials, particularly for acute respiratory tract infections (ARTIs). The objective of this study was to determine whether data electronically extracted from the medical record (i.e., volume-adjusted antimicrobial prescribing rate) could identify outpatient providers who are more likely to prescribe unnecessary antimicrobials. METHODS: At a single VA medical center, patient visits during 2016 to primary care or the emergency department (ED) were retrospectively reviewed if associated with an ICD-10 code for cystitis or an ARTI. Using manual chart-review, an over-treatment rate was calculated for each provider by determining the frequency at which antimicrobials were prescribed when not indicated. A volume-adjusted antimicrobial prescribing rate was determined by extracting data on all antimicrobials prescribed by each provider and adjusting for the total number of patient-visits for that provider. RESULTS: Manual audits to determine antimicrobial necessity were performed on 633 ED visits and 247 primary-care visits. Antimicrobials were not indicated in 51% (324) of ED visits and 58% (144) of primary care visits. For 14 ED providers, the median antimicrobial-prescribing volume was 13.7 prescriptions per 100 patient-visits (IQR 12.5-14.8), and the median over-treatment rate was 47% (IQR 28-64%). Among 7 primary care providers, the median volume-adjusted antimicrobial prescribing rate was 8.1 prescriptions per 100 patient-visits (IQR 7.3-8.6), and the median over-treatment rate was 33% (IQR 31–59%). There was a positive correlation between a provider’s volume-adjusted antimicrobial prescribing rate and their overall rate of over-treatment in both the ED (r = 0.67, P < 0.01) and primary care (r = 0.80, P = 0.03). CONCLUSION: In this small study, electronically-extracted data on a provider’s rate of volume-adjusted antimicrobial prescribing strongly correlated with the frequency at which unnecessary antimicrobials were prescribed, particularly in primary care. Comparing providers within a given outpatient setting on their volume-adjusted antimicrobial prescribing rate may be an efficient way to identify over-prescribers. DISCLOSURES: All authors: No reported disclosures.
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spelling pubmed-56322342017-10-12 Volume-adjusted antimicrobial prescribing rate: An automated method for identifying antimicrobial over-prescribers in ambulatory care Livorsi, Daniel Linn, Carrie Alexander, Bruce Heintz, Brett Tubbs, Traviss Perencevich, Eli Open Forum Infect Dis Abstracts BACKGROUND: A major target for outpatient antimicrobial stewardship has been the unnecessary use of antimicrobials, particularly for acute respiratory tract infections (ARTIs). The objective of this study was to determine whether data electronically extracted from the medical record (i.e., volume-adjusted antimicrobial prescribing rate) could identify outpatient providers who are more likely to prescribe unnecessary antimicrobials. METHODS: At a single VA medical center, patient visits during 2016 to primary care or the emergency department (ED) were retrospectively reviewed if associated with an ICD-10 code for cystitis or an ARTI. Using manual chart-review, an over-treatment rate was calculated for each provider by determining the frequency at which antimicrobials were prescribed when not indicated. A volume-adjusted antimicrobial prescribing rate was determined by extracting data on all antimicrobials prescribed by each provider and adjusting for the total number of patient-visits for that provider. RESULTS: Manual audits to determine antimicrobial necessity were performed on 633 ED visits and 247 primary-care visits. Antimicrobials were not indicated in 51% (324) of ED visits and 58% (144) of primary care visits. For 14 ED providers, the median antimicrobial-prescribing volume was 13.7 prescriptions per 100 patient-visits (IQR 12.5-14.8), and the median over-treatment rate was 47% (IQR 28-64%). Among 7 primary care providers, the median volume-adjusted antimicrobial prescribing rate was 8.1 prescriptions per 100 patient-visits (IQR 7.3-8.6), and the median over-treatment rate was 33% (IQR 31–59%). There was a positive correlation between a provider’s volume-adjusted antimicrobial prescribing rate and their overall rate of over-treatment in both the ED (r = 0.67, P < 0.01) and primary care (r = 0.80, P = 0.03). CONCLUSION: In this small study, electronically-extracted data on a provider’s rate of volume-adjusted antimicrobial prescribing strongly correlated with the frequency at which unnecessary antimicrobials were prescribed, particularly in primary care. Comparing providers within a given outpatient setting on their volume-adjusted antimicrobial prescribing rate may be an efficient way to identify over-prescribers. DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2017-10-04 /pmc/articles/PMC5632234/ http://dx.doi.org/10.1093/ofid/ofx163.626 Text en © The Author 2017. 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
Livorsi, Daniel
Linn, Carrie
Alexander, Bruce
Heintz, Brett
Tubbs, Traviss
Perencevich, Eli
Volume-adjusted antimicrobial prescribing rate: An automated method for identifying antimicrobial over-prescribers in ambulatory care
title Volume-adjusted antimicrobial prescribing rate: An automated method for identifying antimicrobial over-prescribers in ambulatory care
title_full Volume-adjusted antimicrobial prescribing rate: An automated method for identifying antimicrobial over-prescribers in ambulatory care
title_fullStr Volume-adjusted antimicrobial prescribing rate: An automated method for identifying antimicrobial over-prescribers in ambulatory care
title_full_unstemmed Volume-adjusted antimicrobial prescribing rate: An automated method for identifying antimicrobial over-prescribers in ambulatory care
title_short Volume-adjusted antimicrobial prescribing rate: An automated method for identifying antimicrobial over-prescribers in ambulatory care
title_sort volume-adjusted antimicrobial prescribing rate: an automated method for identifying antimicrobial over-prescribers in ambulatory care
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5632234/
http://dx.doi.org/10.1093/ofid/ofx163.626
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