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1.
Open Forum Infectious Diseases ; 9(Supplement 2):S58-S59, 2022.
Article in English | EMBASE | ID: covidwho-2189523

ABSTRACT

Background. COVID-19 shifted antibiotic stewardship program resources and changed antibiotic use (AU). Shifts in patient populations with COVID surges, including pauses to surgical procedures, and dynamic practice changes makes temporal associations difficult to interpret. Our analysis aimed to address the impact of COVID on AU after adjusting for other practice shifts. Methods. We performed a longitudinal analysis of AU data from 30 Southeast US hospitals. Three pandemic phases (1: 3/20-6/20;2: 7/20-10/20;3: 11/20-2/21) were compared to baseline (1/2018-1/2020). AU (days of therapy (DOT)/1000 patient days (PD)) was collected for all antimicrobial agents and specific subgroups: broad spectrum (NHSN group for hospital-onset infections), CAP (ceftriaxone, azithromycin, levofloxacin, moxifloxacin, and doxycycline), and antifungal. Monthly COVID burden was defined as all PD attributed to a COVID admission. We fit negative binomial GEE models to AU including phase and interaction terms between COVID burden and phase to test the hypothesis that AU changes during the phases were related to COVID burden. Models included adjustment for Charlson comorbidity, surgical volume, time since 12/2017 and seasonality. Results. Observed AU rates by subgroup varied over time;peaks were observed for different subgroups during distinct pandemic phases (Figure). Compared to baseline, we observed a significant increase in overall, broad spectrum, and CAP groups during phase 1 (Table). In phase 2, overall and CAP AU was significantly higher than baseline, but in phase 3, AU was similar to baseline. 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). 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). By pandemic phase 3, these disruptive effects were not as apparent, potentially related to shifts in non-COVID patient populations or ASP resources, availability of COVID treatments, or increased learning, diagnostic certainty, and provider comfort with avoiding antibacterials in patients with suspected COVID over time. (Figure Presented).

2.
Open Forum Infectious Diseases ; 7(SUPPL 1):S308, 2020.
Article in English | EMBASE | ID: covidwho-1185844

ABSTRACT

Background: In 2020, COVID-19 spurred unprecedented change in the delivery of routine clinical care. The UNC OPAT program staff, previously accustomed to in-person collaboration in the hospital, became geographically distant amid North Carolina's partial shutdown starting in March 2020. Team members relied on teleworking and many OPAT clinic visits shifted to phone and video telehealth. We assessed how COVID-19 impacted our care of OPAT patients including follow-up visits and readmissions. Methods: UNC's OPAT database contains clinical and demographic information on all patients on OPAT for at least 14 days who received specialized monitoring program led by an infectious diseases (ID) pharmacist, after evaluation by an ID physician. For all OPAT courses that ended between 3/1/20 and 5/20/20 (last available data cut), we assessed the length of OPAT treatment course, readmissions, adverse events, follow-up ID clinic visits, and the method of follow up visit utilized. We compared these measurements to historical baseline data from 3/1/19 to 5/20/19. Results: During the 2020 period, 73 patients completed OPAT, with median OPAT enrollment lasting 36 days, which was similar to 2019 data (70 patients;median OPAT enrollment of 35 days). During the 2019 period, 93% of patients attended a follow up visit with an infectious diseases clinician, all of which took place in person. During the 2020 (COVID-19) period, 85% of patients attended an ID follow up visit;contrary to 2019, 42% of these visits took place in person, 45% were by phone and 13% were via a telemedicine video service. Readmission rates were similar across the two time periods (16% during COVID-19 vs 14% during 2019 comparison time period, P=0.72). Conclusion: UNC OPAT continued through the emergence of COVID-19 as an essential service for a high patient volume by adapting its care delivery and follow-up visit protocols to include virtual care options. Readmission rates for OPAT patients during COVID-19 were comparable to historical baseline data.

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