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1205. Antibiotic-prescribing for all respiratory tract diagnoses across a network of walk-in clinics: clinician-level variation and correlation with other performance metrics

BACKGROUND: It is unclear which stewardship metrics are most effective for audit and feedback to outpatient clinicians. In this study, we explored a metric that captures antibiotic-prescribing for all respiratory tract diagnoses to determine if it could serve as an appropriate metric for feedback. M...

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Autores principales: Livorsi, Daniel J, Clore, Gosia, Ince, Dilek, Percival, Kelly M, O’Shea, Amy, Shaw, Nathan, Dukes, Kimberly, Sherlock, Stacey Hockett, Perencevich, Eli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10679107/
http://dx.doi.org/10.1093/ofid/ofad500.1045
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author Livorsi, Daniel J
Clore, Gosia
Ince, Dilek
Percival, Kelly M
O’Shea, Amy
Shaw, Nathan
Dukes, Kimberly
Sherlock, Stacey Hockett
Perencevich, Eli
author_facet Livorsi, Daniel J
Clore, Gosia
Ince, Dilek
Percival, Kelly M
O’Shea, Amy
Shaw, Nathan
Dukes, Kimberly
Sherlock, Stacey Hockett
Perencevich, Eli
author_sort Livorsi, Daniel J
collection PubMed
description BACKGROUND: It is unclear which stewardship metrics are most effective for audit and feedback to outpatient clinicians. In this study, we explored a metric that captures antibiotic-prescribing for all respiratory tract diagnoses to determine if it could serve as an appropriate metric for feedback. METHODS: We performed a retrospective cohort study of in-person visits to the 7 walk-in clinics, including 3 Urgent Care locations, within University of Iowa Health Care during 2018-2022. Visits were categorized as respiratory visits (RVs) if a respiratory tract diagnosis was coded and the patient lacked complicating factors, such as a concomitant non-respiratory infection or certain comorbidities. We built a hierarchical logistic regression model that adjusted for antibiotic appropriateness tiers (1-3) to identify factors associated with antibiotic-prescribing for RVs. Using Spearman’s correlation, we compared the frequency at which clinicians prescribed antibiotics for RVs and other types of visits. RESULTS: There were 331,496 visits, and 96,546 (29.1%) led to an antibiotic prescription; 44,498 (46.1%) of these were for RVs (Tables 1 and 2). At the clinician-level (n=89), the mean frequency of antibiotic-prescribing for RVs was 36.4% (standard deviation 11.6). Factors at the visit-level associated with an increased odds of antibiotic use for RVs included age ≥ 65 (OR=1.5; 95% CI=1.4-1.6) and having at least one comorbidity (OR=1.2; 95% CI=1.1-1.2). The frequency at which a clinician prescribed antibiotics for RVs was strongly correlated with antibiotic use for all visits (r=0.77, p< 0.001). Clinicians who more often prescribed antibiotics for RVs also more often prescribed antibiotics for respiratory infections that are always viral (r=0.73, p< 0.001), sinusitis (r=0.49, p< 0.001), and non-streptococcal pharyngitis (r=0.69, p< 0.001). There was no correlation between antibiotic-prescribing for RVs and the frequency of return visits within 30 days (r=0.11, p=0.29). [Figure: see text] [Figure: see text] CONCLUSION: A metric that quantifies the frequency of antibiotic-prescribing for all respiratory tract diagnoses correlated strongly with clinicians who over-use antibiotics for walk-in visits. Future studies should assess whether this type of metric is acceptable to clinicians and an effective tool for feedback. DISCLOSURES: Daniel J. Livorsi, MD, Merck: Grant/Research Support Kelly M. Percival, PharmD, Gilead Sciences Inc: Advisor/Consultant
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spelling pubmed-106791072023-11-27 1205. Antibiotic-prescribing for all respiratory tract diagnoses across a network of walk-in clinics: clinician-level variation and correlation with other performance metrics Livorsi, Daniel J Clore, Gosia Ince, Dilek Percival, Kelly M O’Shea, Amy Shaw, Nathan Dukes, Kimberly Sherlock, Stacey Hockett Perencevich, Eli Open Forum Infect Dis Abstract BACKGROUND: It is unclear which stewardship metrics are most effective for audit and feedback to outpatient clinicians. In this study, we explored a metric that captures antibiotic-prescribing for all respiratory tract diagnoses to determine if it could serve as an appropriate metric for feedback. METHODS: We performed a retrospective cohort study of in-person visits to the 7 walk-in clinics, including 3 Urgent Care locations, within University of Iowa Health Care during 2018-2022. Visits were categorized as respiratory visits (RVs) if a respiratory tract diagnosis was coded and the patient lacked complicating factors, such as a concomitant non-respiratory infection or certain comorbidities. We built a hierarchical logistic regression model that adjusted for antibiotic appropriateness tiers (1-3) to identify factors associated with antibiotic-prescribing for RVs. Using Spearman’s correlation, we compared the frequency at which clinicians prescribed antibiotics for RVs and other types of visits. RESULTS: There were 331,496 visits, and 96,546 (29.1%) led to an antibiotic prescription; 44,498 (46.1%) of these were for RVs (Tables 1 and 2). At the clinician-level (n=89), the mean frequency of antibiotic-prescribing for RVs was 36.4% (standard deviation 11.6). Factors at the visit-level associated with an increased odds of antibiotic use for RVs included age ≥ 65 (OR=1.5; 95% CI=1.4-1.6) and having at least one comorbidity (OR=1.2; 95% CI=1.1-1.2). The frequency at which a clinician prescribed antibiotics for RVs was strongly correlated with antibiotic use for all visits (r=0.77, p< 0.001). Clinicians who more often prescribed antibiotics for RVs also more often prescribed antibiotics for respiratory infections that are always viral (r=0.73, p< 0.001), sinusitis (r=0.49, p< 0.001), and non-streptococcal pharyngitis (r=0.69, p< 0.001). There was no correlation between antibiotic-prescribing for RVs and the frequency of return visits within 30 days (r=0.11, p=0.29). [Figure: see text] [Figure: see text] CONCLUSION: A metric that quantifies the frequency of antibiotic-prescribing for all respiratory tract diagnoses correlated strongly with clinicians who over-use antibiotics for walk-in visits. Future studies should assess whether this type of metric is acceptable to clinicians and an effective tool for feedback. DISCLOSURES: Daniel J. Livorsi, MD, Merck: Grant/Research Support Kelly M. Percival, PharmD, Gilead Sciences Inc: Advisor/Consultant Oxford University Press 2023-11-27 /pmc/articles/PMC10679107/ http://dx.doi.org/10.1093/ofid/ofad500.1045 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstract
Livorsi, Daniel J
Clore, Gosia
Ince, Dilek
Percival, Kelly M
O’Shea, Amy
Shaw, Nathan
Dukes, Kimberly
Sherlock, Stacey Hockett
Perencevich, Eli
1205. Antibiotic-prescribing for all respiratory tract diagnoses across a network of walk-in clinics: clinician-level variation and correlation with other performance metrics
title 1205. Antibiotic-prescribing for all respiratory tract diagnoses across a network of walk-in clinics: clinician-level variation and correlation with other performance metrics
title_full 1205. Antibiotic-prescribing for all respiratory tract diagnoses across a network of walk-in clinics: clinician-level variation and correlation with other performance metrics
title_fullStr 1205. Antibiotic-prescribing for all respiratory tract diagnoses across a network of walk-in clinics: clinician-level variation and correlation with other performance metrics
title_full_unstemmed 1205. Antibiotic-prescribing for all respiratory tract diagnoses across a network of walk-in clinics: clinician-level variation and correlation with other performance metrics
title_short 1205. Antibiotic-prescribing for all respiratory tract diagnoses across a network of walk-in clinics: clinician-level variation and correlation with other performance metrics
title_sort 1205. antibiotic-prescribing for all respiratory tract diagnoses across a network of walk-in clinics: clinician-level variation and correlation with other performance metrics
topic Abstract
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10679107/
http://dx.doi.org/10.1093/ofid/ofad500.1045
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