P-1690. The relationship of prescriber role and timing of prescribing to antibiotic prescribing appropriateness at a tertiary academic hospital

Abstract Background There are limited studies examining antibiotic prescription appropriateness that compare trainees versus attending physicians or time of prescription in relation to working hours. Antimicrobial stewardship (AMS) prospective audit and feedback (PAF) was implemented in 2018 at a tertiary care centre targeting six restricted antibiotics (carbapenems, daptomycin, linezolid, and tigecycline). The agent, regimen, and duration were assessed by AMS pharmacists and/or physicians against institutional prescribing guidelines (expert opinion if not available) and recorded prospectively in the AMS quality improvement database. Real time written and verbal feedback were provided to the most responsible physician. Table 1 Baseline prescription demographics. Methods We examined all prescriptions subjected to PAF from 2018 to 2023, with the primary objective to assess prescription appropriateness for medical trainees versus staff physicians. Secondary objectives were to evaluate whether other variables including time of day (working vs off hours), weekday vs weekend, and the COVID-19 pandemic period (Mar 2020-May 2022) impacted appropriateness. Multiple logistic regression was used to determine factors independently associated with optimal prescribing of antibiotics. Institutional ethics approval was obtained. Figure 1 Odds ratios of prescription appropriateness for each independent variable (reference in parentheses). Results Overall, 3685 prescription audits were included in this study. Baseline prescription demographics are shown in Table 1. Of these, 1106 (32%) audited prescriptions were assessed by AMS PAF as not optimally prescribed requiring actionable AMS intervention. Prescriptions written by trainees were not less appropriate compared to staff (OR 1.27 [95%CI 0.97-1.66]). Off hours prescriptions had lower odds of being optimal (OR 0.81 [0.64-1.02], NS). Other secondary outcomes are reported in Figure 1. Prescriptions initiated by infectious disease (ID) had higher odds of being optimal (4.88 [3.68-6.55]). Conclusion In our cohort, we did not find a difference in appropriateness of restricted antibiotic prescriptions between trainees and staff, with a trend towards decline in optimal prescribing during off hours and weekends. ID had higher odds of optimally prescribing. Appropriateness improved over time and the COVID-19 pandemic did not have a negative effect at our center. Disclosures All Authors: No reported disclosures

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Publication Details

Journal
Open Forum Infectious Diseases
Published
2025-01-29
DOI
https://doi.org/10.1093/ofid/ofae631.1856
Primary Topic
Antibiotic Use and Resistance
Type
article
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0.00
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article

P-1690. The relationship of prescriber role and timing of prescribing to antibiotic prescribing appropriateness at a tertiary academic hospital

Jackson J Stewart, Karen Doucette, Dima Kabbani, Ryan Joseph LeBlanc et al.
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Open Forum Infectious Diseases
Antibiotic Use and Resistance
article

P-1690. The relationship of prescriber role and timing of prescribing to antibiotic prescribing appropriateness at a tertiary academic hospital

Jackson J Stewart, Karen Doucette, Dima Kabbani, Ryan Joseph LeBlanc, Paul Greidanus, Justin Z. Chen, Stephanie Smith, Karen G Fong, Serena Bains, Teagan Zeggil, Cecilia Lau
article en

Abstract

Abstract Background There are limited studies examining antibiotic prescription appropriateness that compare trainees versus attending physicians or time of prescription in relation to working hours. Antimicrobial stewardship (AMS) prospective audit and feedback (PAF) was implemented in 2018 at a tertiary care centre targeting six restricted antibiotics (carbapenems, daptomycin, linezolid, and tigecycline). The agent, regimen, and duration were assessed by AMS pharmacists and/or physicians against institutional prescribing guidelines (expert opinion if not available) and recorded prospectively in the AMS quality improvement database. Real time written and verbal feedback were provided to the most responsible physician. Table 1 Baseline prescription demographics. Methods We examined all prescriptions subjected to PAF from 2018 to 2023, with the primary objective to assess prescription appropriateness for medical trainees versus staff physicians. Secondary objectives were to evaluate whether other variables including time of day (working vs off hours), weekday vs weekend, and the COVID-19 pandemic period (Mar 2020-May 2022) impacted appropriateness. Multiple logistic regression was used to determine factors independently associated with optimal prescribing of antibiotics. Institutional ethics approval was obtained. Figure 1 Odds ratios of prescription appropriateness for each independent variable (reference in parentheses). Results Overall, 3685 prescription audits were included in this study. Baseline prescription demographics are shown in Table 1. Of these, 1106 (32%) audited prescriptions were assessed by AMS PAF as not optimally prescribed requiring actionable AMS intervention. Prescriptions written by trainees were not less appropriate compared to staff (OR 1.27 [95%CI 0.97-1.66]). Off hours prescriptions had lower odds of being optimal (OR 0.81 [0.64-1.02], NS). Other secondary outcomes are reported in Figure 1. Prescriptions initiated by infectious disease (ID) had higher odds of being optimal (4.88 [3.68-6.55]). Conclusion In our cohort, we did not find a difference in appropriateness of restricted antibiotic prescriptions between trainees and staff, with a trend towards decline in optimal prescribing during off hours and weekends. ID had higher odds of optimally prescribing. Appropriateness improved over time and the COVID-19 pandemic did not have a negative effect at our center. Disclosures All Authors: No reported disclosures

Open Forum Infectious DiseasesVol. 12(Supplement_1)
Alberta Health Services (CA), University of British Columbia (CA), University of Alberta (CA)
Openalex Percentile: Top 98%
Antibiotic Use and Resistance
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