Creating reasonable antibiograms for antibiotic stewardship programs in nursing homes: Analysis of 260 facilities in a large geographic region, 2016–2017. (August 2019)

• Record Type: Journal Article
• Authors: Fridkin, Scott K.; Pack, Jacob; Licitra, Giancarlo; Zheng, Ziduo; Watkins, Russell; Price, Steve; Camp, Mayfield; Moore, Renee
• Is Part Of: Infection control and hospital epidemiology. Volume 40:Number 8(2019)
• Page Start: 839
• Page End: 846
• Publication Date: 2019-08
• Subjects: Nosocomial infections -- Epidemiology -- Periodicals; Health facilities -- Sanitation -- Periodicals; Hospital buildings -- Sanitation -- Periodicals; Cross Infection -- Periodicals; Epidemiology -- Periodicals; Hospitals -- Periodicals; Infection Control -- Periodicals; 614.44
• DOI: 10.1017/ice.2019.112
• Languages: English
• ISSNs: 0899-823X

Abstract

Abstract: Objective: 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. Design: Derivation cohort study. Setting: Center for Medicare and Medicaid Services (CMS) certified skilled nursing facilities in Georgia (N = 231). Participants: All residents of eligible facilities submitting urine culture specimens for microbiologic testing at a regional referral laboratory. Methods: 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. Results: 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. Conclusions: 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.