Hostname: page-component-78c5997874-mlc7c Total loading time: 0 Render date: 2024-11-13T02:31:59.423Z Has data issue: false hasContentIssue false

Antimicrobial Stewardship Approach: Strategy to Enhance Antimicrobial Stewardship Programs in Arizona Long-Term Care

Published online by Cambridge University Press:  02 November 2020

Juan Villanueva
Affiliation:
Arizona Department of Health Services
David Nix
Affiliation:
University of Arizona College of Pharmacy
Rachana Bhattarai
Affiliation:
Arizona Department of Health Services
Kenneth Komatsu
Affiliation:
Arizona Department of Health Services
Elizabeth Kim
Affiliation:
Arizona Department of Health Services
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Background: Implementing robust antimicrobial stewardship programs within long-term care facilities (LTCFs) presents unique challenges not typically seen in other healthcare settings. These facilities tend to care for older adults, rely on limited on-site clinician availability and experience higher-than-normal staff turnover. Many LTCFs lack the resources and expertise to track and analyze antibiotics usage. Through a collaborative effort between the Arizona Department of Health Services and the University of Arizona College of Pharmacy, support for carrying out stewardship activities was provided to these healthcare facilities. Our objective was to assess the viability of using pharmacy prescribing data to evaluate antibiotics usage among LTCFs throughout Arizona to assist in development of antimicrobial stewardship interventions. Methods: We invited interested LTCFs to participate in the development and enhancement of antimicrobial stewardship programs. We analyzed antibiotic prescribing data from November 2017 through November 2018 to assess the types and quantities of antibiotics prescribed. We worked with pharmacies to obtain a deidentified dataset that included unique patient identifiers, transaction (start) date, agent name, directions for use, route of administration, quantity dispensed, and stop dates. We estimated duration of treatment by assessing antibiotic starts using the number of transaction dates and unique patient identifiers for repeat prescriptions. Each agent was evaluated individually and assigned to an antibiotic category to better assess cumulative prescribing. Results: Through assistance from our community partners, we recruited 11 facilities to participate and worked with 5 servicing pharmacies to obtain a complete dataset for 6 LTCFs. For the facilities evaluated, there were a total of 4,654 antibiotic prescriptions. The most commonly prescribed antibiotic categories were fluroquinolones (24.3% of prescriptions) and oral β-lactams (17.8% of prescriptions). The third most commonly prescribed antibiotics were agents utilized against methicillin-resistant Staphylococcus aureus (MRSA) (13.7% of prescriptions). Antibiotic duration ranged from 1 to 304 days of therapy. Conclusions: Working directly with servicing pharmacies is an efficient way to obtain antibiotic prescribing data for LTCFs. During the 1-year period evaluated, antibiotic prescription rates varied between LTCFs. Despite numerous warnings, the fluroquinolone class continue to be among the most commonly prescribed antibiotics. Visualizing trends in LTCFs antibiotic data is an optimal way to develop and enhance antimicrobial stewardship programs in LTCFs. This fundamental information can help identify areas in which a facility can focus their stewardship efforts and provide a baseline for monitoring progress over time.

Funding: None

Disclosures: None

Type
Poster Presentations
Copyright
© 2020 by The Society for Healthcare Epidemiology of America. All rights reserved.