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1739. An Exploratory Analysis to Examine Urgent Care Antibiotic Prescribing Inequities in a Vertically Integrated Healthcare System

Open Forum Infectious Diseases(2022)

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摘要
Abstract Background Previous studies have shown antibiotic prescribing differences based on patient demographics which may represent inequitable care. Our objective was to perform an exploratory analysis of antibiotic prescribing rates for respiratory conditions to better understand possible inequities and identify disparities in our health system. Methods This was a retrospective cohort study of urgent care encounters for respiratory conditions in the Intermountain Healthcare (IH) network from July 1st 2018 – June 30th 2019. Individual respiratory encounters were identified using a validated methodology based on ICD10 codes. Overall antibiotic prescribing rates and rates for Tier 1 (antibiotics indicated), 2 (sometimes indicated), and 3 (not indicated, eg bronchitis) conditions were assessed. Prescribing rates for categories in which inequities might exist, including age, weight, patient race/ethnicity, preferred language, provider type, and provider/patient gender combinations, were examined. We considered an absolute percentage difference between groups within a category of ≥5.0% to represent a potential disparity. Results 93,588 (48.5%) of 193,107 respiratory urgent care encounters were associated with an antibiotic prescription. Overall antibiotic prescribing rates (Results Image 1) were higher in white compared to non-white patients (49.0% vs 38.2%) and in those reporting non-Hispanic ethnicity compared to Hispanics (49.1% vs 43.2%). Patients over 18 years-old were prescribed antibiotics more frequently than younger patients. Among Tier 3 encounters male providers prescribed antibiotics more frequently for male patients than female providers did for female patients (20.8% vs 15.6). Overweight and obese patients with Tier 3 diagnoses received antibiotic prescriptions more frequently than non-obese patients (22.8% vs 15.3%). Minimal differences between patients who preferred English and those who preferred non-English languages were observed. Results Image 1 - Table 1 Overall antibiotic prescribing rates and antibiotic prescribing rates for Tier 3 conditions for urgent care respiratory condition encounters July 1st, 2018 – June 30th, 2019*¥. *Tier 3 codes are those where antibiotics are not indicated (eg bronchitis). ¥Absolute differences of ≥5.0% between groups within each category are indicated in bold. Conclusion Antibiotic prescribing rates for respiratory conditions in urgent care encounters in our system differed based on race, ethnicity, age, obesity, and gender. These differences may represent biases contributing to inequities in care and may serve as potential targets for improved stewardship efforts. Disclosures All Authors: No reported disclosures.
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antibiotic,healthcare
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