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    “…Trainee proportion of consultation was stable at community hospitals and decreased at the university hospital. [Figure: see text] [Figure: see text] [Figure: see text] [Figure: see text] [Figure: see text] CONCLUSION: Hospitals had differing baseline patterns of ID consultation attributed to provider groups, but all experienced increases in consults attributed to APPs and increased ID consultation rates over time. …”
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    1258. Consulting Colleagues: Increasing Role of Advanced Practice Providers in Inpatient ID Consultation
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    “…Beta-Lactam Order Panel, Piperacillin-tazobactam [Figure: see text] Beta-Lactam First: Nursing Administration Instructions, Cefepime [Figure: see text] RESULTS: 361 patients were included for analysis: 224 pre- and 137 post-intervention. …”
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    1186. Beta is Better: Impact of a Multifaceted Stewardship Initiative on the Sequential Timing of Beta-Lactam Administration
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    “…Median starts for night shift were significantly lower than day shift starts, but cross cover starts were significantly higher (p = 0.011 and p < 0.001, respectively, Figure 2A). Night shift escalations were significantly lower than day shift while cross coverage showed no difference (p< 0.001 and p = 0.51, respectively, Figure 2B). …”
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    2253. Hospitalist Antibiotic Prescribing Patterns by Hour and Weekday
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    “…Comparing 2018 intervention months with similar months of 2017, the use of antibacterial agents decreased on average by 191.3 (95% CI −128.2 to −254.4) DOT/1,000 patient-days (Figure 3) and 0.546 (95% CI: −0.28 to −0.81) days per admission (Figure 4). …”
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    1044. Impact of Interdisciplinary Rounds on Antimicrobial Use at a Community Hospital
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    “…The high NPV >=0.90 of pyuria was maintained among most patient age and sex subgroups with the exception of females ≥65 and patients with indwelling catheters (Table 2). [Figure: see text] [Figure: see text] CONCLUSION: UA parameters should be leveraged for their NPV instead of sensitivity, when used as a part of diagnostic workup. …”
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    190. Performance of urinalysis parameters in predicting significant bacteriuria: Making the case for a population-specific approach to diagnostic stewardship
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    “…Figure 1. Estimated Approvals per Week [Image: see text] Figure 2. …”
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    224. Effect of Easing Overnight Restrictions on Antimicrobial Starts
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    “…RESULTS: The proportion of I-PDX was highly variable among hospitals, with a system-wide median of 37.27% (range 23.48 - 43.32) (Figure 1). Using DOT / 1,000 patient days for 1 year, Hospital A was the lowest in the system and hospital H was the highest (Figure 2). …”
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    935. Antibiotic Use (AU) Adjustment by Infection-Related Patient Volume Across a Health System
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    “…Facility-wide AU was increasing during the first year of network entry and then began decreasing by 0.2% per month (P = 0.01, figure). Fluoroquinolone use was stagnant in year one and then decreased by 1.5% per month (P ≤ 0.001, figure). …”
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    2089. Effect of the Duke Antimicrobial Stewardship Outreach Network (DASON): A Multi-Center Time Series Analysis
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    “…Models strongly predicted the binary outcome, with AUCs ranging from 0.70 to 0.95 depending on the stratum (Figure A, B). The addition of more complex variables increased accuracy (Figure Model Tiers 1–4). …”
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    1018. Using prediction modeling to inform risk-adjustment strategy for hospital antimicrobial use: Can we predict who gets an inpatient antimicrobial?
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    “…A 23-item safety check excluded patients with ongoing signs of infection, concerning or inadequate microbiologic data, or high-risk conditions (Figure 1). Eligible patients were randomized to the opt-out protocol vs. usual care. …”
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    14. Effects of an Opt-Out Protocol for Antibiotic De-escalation among Selected Patients with Suspected Sepsis: The DETOURS Trial
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    “…These phase changes were separate from effects of COVID burden, except in phase 1 where we observed significant effects on antifungal (increased) and CAP (decreased) AU (Table). [Figure: see text] [Figure: see text] CONCLUSION: Changes in hospital AU observed during early phases of the COVID pandemic appeared unrelated to COVID burden and may have been due to indirect pandemic effects (e.g., case mix, healthcare resource shifts). …”
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    1571. Hospital COVID-19 Burden Impact on Inpatient Antibiotic Use Rates
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    “…CONCLUSION: Stewardship programs seeking to shorten durations of therapy can track this metric over time to determine the impact of their ASP efforts (Figure 1). The metric can also be used to compare average durations of IV vancomycin by hospital to determine when and if agent-focused audit and feedback or antibiotic timeouts may be useful (Figure 2). …”
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    1629. Targeted Antimicrobial Use Admission Provides an Actionable Denominator for Antimicrobial Stewardship Programs Evaluating Inpatient Length of Therapy
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    “…The distribution of antibiotic DOT mapped to the standardized indication list can be seen in Figure 1. The most common indication was the other category (19.5%). …”
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    2087. Electronic Capture and Feedback of Standardized Antibiotic Clinical Indications Data Among Community Hospitals
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    “…[Figure: see text] CONCLUSION: Nurses recognized AS as an important part of their professional responsibilities, but perceived AS opportunities to be a national rather than local need. …”
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    1244. Antimicrobial Stewardship Knowledge, Attitudes, and Practices (KAP) Among Nurses
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    “…Median MRSA SIRs increased (0.903 vs 0.797, P = 0.5), and COLO and HYST SIRs decreased (0.457 vs 0.586, P = 0.1; and 0 vs 0.489, P = 0.4); however, these changes were not statistically significant (Figure 1). For all metrics, a minority of hospitals had meaningful change in SIR rank following rebaselining (Figure 2). …”
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    The Effect of National Healthcare Safety Network (NHSN) Rebaselining on Community Hospital SIRs
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    “…Empiric antibiotic use varied by syndrome (Figure 1). In general, patients with a targeted infectious diagnosis and sepsis received more broad-spectrum agents than those without sepsis. …”
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    1013. Electronic Assessment of Empiric Antibiotic Prescribing Using Diagnosis Codes
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    “…RESULTS: Engagement with CustomID® increased during the pandemic period, especially during surges (Figure). Hits in the pre-pandemic period were median 1707 (range 1165-2354) per week, and hit rates median 1.95 per hospitalization (range 1.40-2.86). …”
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    961. Pandemic Hits: Evaluation of an Antimicrobial Stewardship Program Website for Hospital Communication During the COVID-19 Pandemic
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    “…Initiations occurred most frequently on Tuesday (3,078, 18.1% [95% CI 16.3–19.9%]), and discontinuations on Wednesday (3,179, 18.7% [95% CI 17.4–20.5%]) (Figure 1). Figure 1: Types of Changes per Day [Image: see text] CONCLUSION: We developed and applied a method to characterize antimicrobial changes. …”
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    51. Development and Assessment of a Process to Describe the Timing of Antibiotic Changes in Adult Inpatients
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    “…Guideline concordant prescribing increased at UC from 29% at baseline to 47% in the 5 months after the education and at PC from 54% at baseline to 62% in the 8 months after the education (Figures 1 and 2). The mean number of UTI diagnoses per month decreased at UC from 142 at baseline to 102 and at PC from 32 at baseline to 25 after the education. …”
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    204. Impact of Education and Data Feedback Interventions on Outpatient Prescribing for Urinary Tract Infections
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    “…Overall AU, anti-MRSA agents, and anti-pseudomonal agents were unchanged after SEP-1 (figure, table). CONCLUSION: Implementation of the CMS SEP-1 measure did not lead to higher rates of AU in our cohort of hospitals, although this study did not assess adherence to SEP-1. …”
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    854. The Impact of the CMS SEP-1 Core Measure on Antimicrobial Utilization: a Multicenter Interrupted Time-Series (ITS) Analysis
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