90. Deimplementation: Use of Electronic Clinical Decision Support to Reduce Unnecessary Erythrocyte Sedimentation Rate (ESR) Ordering. (4th December 2021)

• Record Type: Journal Article
• Authors: Fatemi, Yasaman; Burns, Julianne; Polsky, Tracey; Nord, Ellen; Coffin, Susan
• Is Part Of: Open forum infectious diseases. Volume 8(2021)Supplement 1
• Page Start: S160
• Page End: S160
• Publication Date: 2021-12-04
• Subjects: Communicable diseases -- Periodicals; Medical microbiology -- Periodicals; Infection -- Periodicals; 616.9
• DOI: 10.1093/ofid/ofab466.292
• Languages: English
• ISSNs: 2328-8957

Abstract

Abstract: Background: In recent years, several de-implementation initiatives have focused on diagnostic testing. One such initiative, the Choosing Wisely campaign, recommends against routine use of erythrocyte sedimentation rate (ESR) for assessment of acute undiagnosed inflammation or infection. With the development of newer biomarkers of inflammation, particularly C-reactive protein (CRP), there is a decreasing role for ESR in screening for acute-onset conditions; however, ESR continues to be commonly ordered. Methods: We examined ESR and CRP ordering practices at the Children's Hospital of Philadelphia (CHOP) from July 2019 to July 2020 and found that 80% of ESR orders were placed concurrently with an order for CRP. We aimed to reduce ESR ordering by 20% at CHOP by using electronic clinical decision support in the form of embedded order guidance for ESR orders placed in the Emergency Department (ED) and inpatient setting. We examined the effect of the clinical decision support by assessing ESR ordering rate, defined by ESR orders per monthly patient days for the inpatient setting and ESR orders per monthly ED visits for the ED setting. We then examined differences in ordering rates using a quasi-experimental model with a concurrent control (basic metabolic panel). ESR Electronic Clinical Decision Support Intervention Inpatient and ED versions of the embedded electronic clinical decision support for ESR orders. Results: Prior to implementation of the electronic decision support intervention, the median monthly rate of ESR orders was 13.6 per 1000 patient days and 70.3 per 1000 ED visits. During the initial month after implementation, we found that ESR ordering was 12.5 in inpatient and 46.4 in ED, reflecting decreased rates of ordering. The median monthly rate of basic metabolic panel orders (concurrent control) was 194.5 per 1000 patient days and 110.0 per 1000 ED visits. This was unchanged after intervention. Conclusion: We conclude that electronic clinical decision support is a potentially effective deimplementation method for improving diagnostic test utilization, even with non-disease specific testing such as inflammatory markers. However, continued post-implementation data monitoring and analysis is needed to determine if this is a true difference and sustainable trend. Disclosures: All Authors : No reported disclosures