What is it about?
In our study, we develop an algorithm to identify statistically different treatment utilization patterns not only between health systems but also among individual providers within health systems. We demonstrate the utility of this framework in combination with a existing risk stratification tools such as the Framingham Cardiovascular Risk Score to identify differences in utilization of diabetic medications with known cardioprotective benefits for patients with high cardiovascular disease risk.
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Why is it important?
Using the newly created University of California Health Data Warehouse, we present the first study to analyze antihyperglycemic treatment utilization across the five large University of California academic health systems (Davis, Irvine, Los Angeles, San Diego, and San Francisco) including 97,231 type 2 diabetes patients from 1,003 UC-affiliated clinical settings. Our work demonstrates the power of EHRs to quantify differences in treatment utilization, a necessary step towards standardizing precision care for large populations.
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This page is a summary of: Quantifying Variation in Treatment Utilization for Type 2 Diabetes Across Five Major University of California Health Systems, Diabetes Care, February 2021, American Diabetes Association, DOI: 10.2337/dc20-0344.
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