Literature DB >> 32215655

National Healthcare Safety Network Standardized Antimicrobial Administration Ratios (SAARs): A Progress Report and Risk Modeling Update Using 2017 Data.

Erin N O'Leary1,2, Jonathan R Edwards1, Arjun Srinivasan1, Melinda M Neuhauser1, Amy K Webb1,2, Minn M Soe1, Lauri A Hicks1, Wendy Wise1,2, Hsiu Wu1, Daniel A Pollock1.   

Abstract

BACKGROUND: The Standardized Antimicrobial Administration Ratio (SAAR) is a risk-adjusted metric of antimicrobial use (AU) developed by the Centers for Disease Control and Prevention (CDC) in 2015 as a tool for hospital antimicrobial stewardship programs (ASPs) to track and compare AU with a national benchmark. In 2018, CDC updated the SAAR by expanding the locations and antimicrobial categories for which SAARs can be calculated and by modeling adult and pediatric locations separately.
METHODS: We identified eligible patient-care locations and defined SAAR antimicrobial categories. Predictive models were developed for eligible adult and pediatric patient-care locations using negative binomial regression applied to nationally aggregated AU data from locations reporting ≥9 months of 2017 data to the National Healthcare Safety Network (NHSN).
RESULTS: 2017 Baseline SAAR models were developed for 7 adult and 8 pediatric SAAR antimicrobial categories using data reported from 2156 adult and 170 pediatric locations across 457 hospitals. The inclusion of step-down units and general hematology-oncology units in adult 2017 baseline SAAR models and the addition of SAARs for narrow-spectrum B-lactam agents, antifungals predominantly used for invasive candidiasis, antibacterial agents posing the highest risk for Clostridioides difficile infection, and azithromycin (pediatrics only) expand the role SAARs can play in ASP efforts. Final risk-adjusted models are used to calculate predicted antimicrobial days, the denominator of the SAAR, for 40 SAAR types displayed in NHSN.
CONCLUSIONS: SAARs can be used as a metric to prompt investigation into potential overuse or underuse of antimicrobials and to evaluate the effectiveness of ASP interventions. Published by Oxford University Press for the Infectious Diseases Society of America 2020.

Entities:  

Keywords:  antibiotic stewardship; antimicrobial use; hospital; risk adjustment; standardized metric

Year:  2020        PMID: 32215655      PMCID: PMC7879497          DOI: 10.1093/cid/ciaa326

Source DB:  PubMed          Journal:  Clin Infect Dis        ISSN: 1058-4838            Impact factor:   9.079


  3 in total

1.  Development of the Korean Standardized Antimicrobial Administration Ratio as a Tool for Benchmarking Antimicrobial Use in Each Hospital.

Authors:  Bongyoung Kim; Song Vogue Ahn; Dong-Sook Kim; Jungmi Chae; Su Jin Jeong; Young Uh; Hong Bin Kim; Hyung-Sook Kim; Sun Hee Park; Yoon Soo Park; Jun Yong Choi
Journal:  J Korean Med Sci       Date:  2022-06-20       Impact factor: 5.354

2.  Development of a Machine Learning Model Using Electronic Health Record Data to Identify Antibiotic Use Among Hospitalized Patients.

Authors:  Rebekah W Moehring; Matthew Phelan; Eric Lofgren; Alicia Nelson; Elizabeth Dodds Ashley; Deverick J Anderson; Benjamin A Goldstein
Journal:  JAMA Netw Open       Date:  2021-03-01

3.  Electronically Available Patient Claims Data Improve Models for Comparing Antibiotic Use Across Hospitals: Results From 576 US Facilities.

Authors:  Katherine E Goodman; Lisa Pineles; Laurence S Magder; Deverick J Anderson; Elizabeth Dodds Ashley; Ronald E Polk; Hude Quan; William E Trick; Keith F Woeltje; Surbhi Leekha; Sara E Cosgrove; Anthony D Harris
Journal:  Clin Infect Dis       Date:  2021-12-06       Impact factor: 9.079

  3 in total

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