ANTIBIOTIC USE VARIABILITY AMONG U.S. NURSING HOMES USING ELECTRONIC HEALTH DATA
Author(s)
Kabbani S1, Chi N2, Wang S2, Ditz L2, Kelly T3
1Centers for Disease Control and Prevention, Atlanta, GA, USA, 2PointClickCare, Mississauga, ON, Canada, 3PointClickCare, Oil City, PA, USA
OBJECTIVES : Antibiotics are frequently prescribed in nursing homes (NH). National data describing facility-level antibiotic use (AU) in NH are lacking. The objectives of this analysis were to use NH electronic health records (EHR) to describe AU in NH and variability in AU rates across NH. METHODS : We analyzed antibiotic orders for 309,884 residents in 1,664 U.S. NHs using one EHR company in 2016. We calculated AU rates as antibiotic days-of-therapy (DOT) per 1,000 resident-days and compared by type of stay (short-stay (SS) ≤ 100 days vs. long-stay (LS) > 100 days). We also examined prescribing indications and the duration of nursing home-initiated antibiotic orders. We assessed facility-level correlates of AU using resident health and NH facility characteristics publically available through NH Compare and LTCfocus using a univariate linear regression. RESULTS : In 2016, 57% of NH residents received at least one systemic antibiotic; overall rate of AU was 90 DOT/1,000 resident-days. The median facility-level AU rate was 64 DOT/1,000 resident-days (IQR 36-104). The median proportion of SS residents at a facility was 74% (IQR 60-84%). The SS and LS AU rates were 241 DOT/1,000 resident-days (IQR 173-342) and 24 DOT/1,000 resident-days (IQR 14-37), respectively. Overall, the three most common antibiotic classes were fluoroquinolones (18%), cephalosporins (18%), and extended-spectrum β-lactams (10%). Antibiotics were most frequently prescribed for UTIs, and the mean duration of an antibiotic order was 9 days (range 1-365). Higher facility AU rate correlated positively with a number of factors including; proportion of SS residents, organization type, proportion of residents with mild cognitive impairment, ventilator beds, proportion of LS residents with catheters or ulcers. CONCLUSIONS : Significant variability in NH AU rates exist, and SS residents have higher AU rates. Identifying NH with high rates of AU after adjusting for facility-level predictors of AU may identify opportunities for targeting efforts to improve prescribing practices.
Conference/Value in Health Info
2020-05, ISPOR 2020, Orlando, FL, USA
Value in Health, Volume 23, Issue 5, S1 (May 2020)
Code
PIN68
Topic
Epidemiology & Public Health, Health Service Delivery & Process of Care, Patient-Centered Research, Real World Data & Information Systems
Topic Subcategory
Adherence, Persistence, & Compliance, Disease Management, Health & Insurance Records Systems, Public Health
Disease
Drugs, Geriatrics, Infectious Disease (non-vaccine)
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