Background Urinary tract infections (UTIs) are the most common outpatient indication for antibiotics and an important target for antimicrobial stewardship (AS) activities. With The Joint Commission standards now requiring outpatient AS, data supporting effective strategies are needed. Methods We conducted a two-phase, prospective, quasi-experimental study to estimate the effect of an outpatient AS intervention on guideline-concordant antibiotic prescribing in a primary care (PC) and urgent care (UC) clinic between August 2017 and July 2019. Phase 1 of the intervention included the development of clinic-specific antibiograms and UTI diagnosis and treatment guidelines, presented during educational sessions with clinic providers. Phase 2, consisting of routine clinic- and provider-specific feedback, began approximately twelve months after the initial education. The primary outcome was percent of encounters with first- or second-line antibiotics prescribed according to clinic-specific guidelines, and was assessed using an interrupted time series approach. Results Data were collected on 4,724 distinct patients seen during 6,318 UTI encounters. The percent of guideline-concordant prescribing increased by 22% (95% CI: 12% to 32%) after Phase 1 education, but decreased by 0.5% every two weeks afterwards (95% CI: -0.9% to 0%). Following routine data feedback in Phase 2, guideline concordance stabilized and significant further decline was not seen (-0.6%, 95% CI: -1.6% to 0.4%). This shift in prescribing patterns resulted in a 52% decrease in fluoroquinolone use. Conclusions Clinicians increased guideline-concordant prescribing, reduced UTI diagnoses, and limited use of high-collateral damage agents following this outpatient AS intervention. Routine data feedback was effective to maintain the response to the initial education.

Objectives Outpatient parenteral antimicrobial therapy (OPAT) is associated with high hospital readmission rates. A 30 day unplanned readmission risk prediction model for OPAT patients has been developed in the UK. Given significant differences in patient mix and methods of OPAT delivery, we explored the model for its utility in Duke University Health System (DUHS) patients receiving OPAT. Methods We analysed OPAT episodes of adult patients from two hospitals between 1 July 2019 and 1 February 2020. The discriminative ability of the model to predict 30 day unplanned all-cause and OPAT-related admission was examined. An updated model was created by logistic regression with the UK risk factors and additional risk factors, OPAT delivery in a skilled nursing facility, vancomycin use and IV drug abuse. Results Compared with patients of the UK cohort, our study patients were of higher acuity, treated for more invasive infections, and received OPAT through different modes. The 30 day unplanned readmission rate in our cohort was 20% (94/470), with 59.5% (56/94) of those being OPAT-related. The original model was unable to discriminate for all-cause readmission with a C-statistic of 0.52 (95% CI 0.46–0.59) and for OPAT-related readmission with a C-statistic of 0.55 (95% CI 0.47–0.64). The updated model with additional risk factors did not have improved performance, with a C-statistic of 0.55 (95% CI 0.49–0.62). Conclusions The UK 30 day unplanned hospital readmission model performed poorly in predicting readmission for the OPAT population at a US academic medical centre.

Background Outpatient parenteral antimicrobial therapy (OPAT) is used for patients that require prolonged durations of intravenous (IV) antimicrobials and who are healthy enough to receive the medications in the outpatient setting. While OPAT is both efficacious and cost-effective, hospital readmission rates are high. Durojaiye and colleagues in the UK developed a 30-day unplanned readmission risk prediction model for OPAT patients. Given differences in patient mix and methods of OPAT delivery, we validated the established risk assessment model for Duke University Health System (DUHS) patients receiving OPAT. Methods A retrospective review of 606 OPAT episodes of adult patients who were enrolled in the DUHS OPAT program between July 1, 2019 and February 1, 2020 was conducted. The review captured the 6 risk predictors of the established model: age, Charlson Comorbidity Score, number of admissions in the preceding 12 months, concurrent receipt of more than one IV antimicrobial agent, type of infection, and mode of OPAT delivery. Additional risk predictors were captured: aminoglycoside use, vancomycin use, OPAT delivery in a skilled nursing facility, and history of IV drug abuse. The discriminative ability of the model to predict 30-day unplanned readmission as well as 30-day OPAT-related unplanned readmission was validated with the collected data using scaled Brier score, Hosmer-Lemeshow goodness-of-fit, and area under the receiver operating curve. A logistic regression model fitted with the additional risk factors was conducted to determine their impact on the model. Results When comparing DUHS OPAT patients with those of the UK model, DUHS patients were sicker (mean Charlson Comorbidity Score 3 vs 1), were treated for deeper seated infections, and received OPAT through different modes. Overall the 30-day unplanned readmission rate was 20.0% (94/470), with 59.5% of those being OPAT-related. The UK model was unable to discriminate between patients with readmission and those without, both overall and OPAT-related. The additional risk factors were also non-significant between the groups and the updated model could not predict 30-day readmission risk. Conclusion The UK 30-day unplanned hospital readmission model did not predict patient risk of readmission for the Duke OPAT population. Disclosures Richard H. Drew, PharmD MS, American College of Clinical Pharmacists: Publication royalties|Takeda: Advisor/Consultant|UpToDate: publication royalties.

Background Broad spectrum antibiotics are often prescribed to patients presenting to the emergency department (ED) for evaluation of urinary tract infection and pyelonephritis (UTI). We evaluated the effect of a target-specific antibiogram, education, and feedback on UTI diagnosis and antibiotic prescribing in this setting. Methods We created a urine-specific antibiogram from patients seen and treated without admission at three ED locations (one academic and two community hospitals). We then provided a treatment algorithm and supplemental educational content to ED providers in November 2019. Educational content highlighted appropriate diagnosis, antibiotic selection, and treatment duration for UTI. Adult encounters with appropriate ICD-9/10 codes within twelve months prior to content delivery comprised the preintervention cohort. The postintervention cohort consisted of adult visits following educational intervention until April 17, 2020. During the postintervention phase (November 2019 to April 2020), summary data regarding UTI diagnoses and guideline-concordant prescriptions were fed back routinely to ED providers through email. Guideline-concordant prescriptions were defined as those adhering to first or second-line therapy in the treatment algorithm. The proportion of prescriptions meeting this definition fulfilled the primary outcome. An interrupted time series analysis measured changes in guideline concordance. Results Data from 6,713 distinct encounters were analyzed across the three sites. While guideline concordant prescribing increased following intervention at all locations (30.9% to 38.8%, 48.1% to 49.1%, and 48.2% to 59.6%), these increases were not statistically significant (Figures 1, 2, and 3). The proportion of all ED encounters with a UTI diagnosis did not differ following the intervention. Interestingly, guideline concordance was greater in the academic ED, compared to the community hospitals. Conclusion Although guideline concordant prescribing for UTI increased in all three ED settings with education and email correspondence feedback, these results were not statistically significant. A variety of methods may be required to realize improved antibiotic prescribing across a diverse group of clinicians. Disclosures Rebekah W. Moehring, MD, MPH, Agency for Healthcare Quality and Research (Grant/Research Support)Centers for Disease Control and Prevention (Grant/Research Support)

BackgroundAchieving lasting, sustainable effects in outpatient AS interventions has been a challenge for many programs. Our group observed an initial benefit of an outpatient AS intervention focused on diagnosis and management of urinary tract infections (UTIs). However, prescribing habits trended back toward baseline over time. This study aimed to evaluate the impact of routine education and comparative data feedback on the durability of an outpatient AS intervention for UTIs.MethodsWe conducted a prospective quasi-experimental study at one primary care (PC) and one urgent care (UC) clinic to evaluate the durability of an outpatient AS intervention implemented in August 2017 and November 2017, respectively. Clinicians who treated adult patients with a diagnosis of acute UTI at either clinic participated in the study. The initial intervention (phase 1) included development of clinic-specific antibiograms and UTI diagnosis and treatment guidelines. Approximately 12 months after the initial intervention, routine education along with clinic- and comparative provider-specific feedback reports were emailed to clinicians at regular intervals (phase 2). The primary outcome was percent of encounters in which first- or second-line antibiotics were prescribed. Pre- and post-intervention phase and trend changes were assessed using an interrupted time-series approach.ResultsData were collected on 792 and 3,720 UTI encounters at PC and UC, respectively. In the 12 months after the initial intervention, rates of guideline concordance were 73% at PC and 57% at UC (Figures 1 and 2). After routine data feedback was provided for approximately 7 months at PC and 5 months at UC, rates of guideline concordance remained relatively stable at 75% for PC and 61% at UC. An initial 37% relative reduction in fluoroquinolone (FQ) use was observed during phase 1 which was further reduced by an additional 18% during phase 2.ConclusionRoutine provision of clinic-specific feedback and peer comparisons sustained rates of guideline-concordant prescribing at two outpatient clinics. This intervention required significant resources for data analysis and delivery, but it was successful in decreasing rates of FQ prescribing and maintaining clinician engagement. Disclosures All authors: No reported disclosures.