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Evaluation of a clinical decision support system and an automated electronic health record alert on outpatient prescribing of cefdinir
American Journal of the Medical Sciences ; 365(Supplement 1):S90, 2023.
Article in English | EMBASE | ID: covidwho-2229107
ABSTRACT
Purpose of Study Acute bacterial upper respiratory infections, such as acute otitis media, pharyngitis, and sinusitis, are common indications for antibiotics in pediatrics, and it is estimated one-third of these prescriptions may be inappropriate. Cefdinir is an oral cephalosporin commonly used in pediatrics due to taste and ease of once-a-day dosing. However, there are no evidencebased guidelines recommending it as a first-line agent. Outpatient clinician education has demonstrated some improvement in antibiotic prescribing habits but is often not sustainable long term. Clinical decision support systems in the form of pathways and order sets are more feasible in the outpatient setting and have demonstrated sustained improvements in provider prescribing habits. Best practice advisory alerts are commonly used in the inpatient setting and have shown promising results, but there are little data on their use in the outpatient setting. Methods Used We developed an intervention in our electronic health record consisting of an order-set based on our local acute upper respiratory infection guidelines and a best practice advisory alert targeting Cefdinir use in non-penicillin allergic patients. The pre-intervention period was defined as April 2018 to December 2021. The post-intervention periodwas defined as January 2022 to December 2022. Data shown here are through September 2022. Oral antibiotic prescriptions from all general pediatric clinics within our institution with diagnosis codes pertaining to acute otitis media, pharyngitis, and sinusitis were included. Thesewere then grouped into first-line and non-first-line categories. Patient data were collected for each prescription, including diagnosis, date, sex, and race/ethnicity. The primary endpoint was the percentage of first-line prescribing. Summary of

Results:

A total of 45 038 prescriptions were included in our analyses with 36 578 in the pre-intervention period and 8460 in the post-intervention period. There was no difference noted between the pre- and postgroups in patient sex, however, there were notable differences in patient race/ethnicity and diagnosis. Firstline prescribing accounted for 73.5% of the pre-intervention group, and 81.9% of the post-intervention group (P = <0.001). Conclusion(s) Implementation of an outpatient order-set coupled with a best practice advisory alertwas associated with an 8.4% increase in first-line antibiotic prescribing for acute upper respiratory infections in outpatient pediatric clinics affiliated with our institution. Differences in diagnoses noted between pre- and post-intervention periods may be attributable to the COVID-19 pandemic. Copyright © 2023 Southern Society for Clinical Investigation.
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Full text: Available Collection: Databases of international organizations Database: EMBASE Type of study: Experimental Studies / Prognostic study Language: English Journal: American Journal of the Medical Sciences Year: 2023 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: EMBASE Type of study: Experimental Studies / Prognostic study Language: English Journal: American Journal of the Medical Sciences Year: 2023 Document Type: Article