Logo image
Creating reasonable antibiograms for antibiotic stewardship programs in nursing homes: Analysis of 260 facilities in a large geographic region, 2016-2017
Journal article   Peer reviewed

Creating reasonable antibiograms for antibiotic stewardship programs in nursing homes: Analysis of 260 facilities in a large geographic region, 2016-2017

Scott K Fridkin, Jacob Pack, Giancarlo Licitra, Ziduo Zheng, Russell Watkins, Steve Price, Mayfield Camp and Renee Moore
Infection control and hospital epidemiology, v 40(8), pp 839-846
Aug 2019
PMID: 31133088

Abstract

Antimicrobial Stewardship Cohort Studies Drug Resistance, Microbial - drug effects Escherichia coli - drug effects Klebsiella pneumoniae - drug effects Microbial Sensitivity Tests Skilled Nursing Facilities Georgia Nursing Homes United States
To determine the best nursing home facility characteristics for aggregating antibiotic susceptibility testing results across nursing homes to produce a useful annual antibiogram that nursing homes can use in their antimicrobial stewardship programs. Derivation cohort study. Center for Medicare and Medicaid Services (CMS) certified skilled nursing facilities in Georgia (N = 231). All residents of eligible facilities submitting urine culture specimens for microbiologic testing at a regional referral laboratory. Crude and adjusted metrics of antibiotic resistance prevalence (percent of isolates testing susceptible) for 5 bacterial species commonly recovered from urine specimens were calculated using mixed linear models to determine which facility characteristics were predictive of testing antibiotic susceptibility. In a single year, most facilities had an insufficient number of isolates tested to create facility-specific antibiograms: 49% of facilities had sufficient Escherichia coli isolates tested, but only about 1 in 10 had sufficient isolates of Klebsiella pneumoniae, Proteus mirabilis, Enterococcus faecalis, or Pseudomonas aeruginosa. After accounting for antibiotic tested and age of the patient, facility characteristics predictive of susceptibility were: E. coli, region, year, average length of stay; K. pneumoniae, region, bed size; P. mirabilis, region; and for E. faecalis or P. aerginosa no facility parameter remained in the model. Nursing homes often have insufficient data to create facility-specific antibiograms; aggregating data across nursing homes in a region is a statistically sound approach to overcoming data shortages in nursing home stewardship programs.

Metrics

15 Record Views
15 citations in Scopus

Details

UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

InCites Highlights

Data related to this publication, from InCites Benchmarking & Analytics tool:

Web of Science research areas
Infectious Diseases
Public, Environmental & Occupational Health
Logo image