215. Unintended Consequences of Fluoroquinolone Stewardship: Impact on Overall Antimicrobial Use Data and Implications for Benchmarking

ABX试验 医学 抗菌管理 心理干预 不利影响 重症监护医学 抗生素耐药性 内科学 抗生素 护理部 数学 生物 微生物学 统计
作者
Sarah Green,Ryan Chapin
出处
期刊:Open Forum Infectious Diseases [Oxford University Press]
卷期号:5 (suppl_1): S93-S94
标识
DOI:10.1093/ofid/ofy210.227
摘要

Antimicrobial stewardship (AS) initiative to reduce fluoroquinolone (FQ) use in targeted diagnosis-related groups (DRG) across 14 acute care hospitals was launched in 2016 due to increasing FQ resistance and FDA warnings on adverse effects (Figure 1). In community-acquired pneumonia (CAP) interventions to change prescribing from FQs to a β-lactam (BL) + atypical agent (combo) would result in a doubling of days of therapy (DOTs) for that indication. However, combo regimens may provide patient safety and abx resistance benefits that are not captured by the DOT metric. This study examines the relationship between utilization of FQ-sparing, combo therapy for patients with CAP and associated impact on AS metrics. This was a retrospective, multicenter study of abx utilization for treatment of CAP before and after an FQ-sparing initiative. DRG codes identified abx use specific to CAP. Abx use was measured using medication administration reports to calculate DOT per 1,000 patient-days. The FQ initiative yielded a 40.4% reduction in overall FQ use (P < 0.001), though overall abx consumption did not change (Table 1, Figure 2). A decrease in FQ use in CAP was observed (−42%, P < 0.001), while combo use increased (+43%, P < 0.001). A system-wide FQ-sparing initiative resulted in significant increases in use of combo abx for CAP. Although considered an appropriate intervention for patient safety and resistance reasons, unintended impacts on standard consumption metrics should be considered when comparing use within or across institutions. The use of alternative metrics, such as point-prevalence surveys, may be indicated. Examination of impact on overall DOT in additional disease states and at the facility-specific level is needed. Table 1: Metric Analysis SD = standard deviation. Table 1: Metric Analysis SD = standard deviation. All authors: No reported disclosures.
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