Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5927706 | American Heart Journal | 2015 | 8 Pages |
Abstract
Automated methods can be used to identify patients with prevalent AF indicated for anticoagulation but may have misclassification up to 12%, which limits the utility of relying on administrative data alone for quality assessment. Misclassification is minimized by requiring comorbidity diagnoses within the prior year and using a CHA2DS2-Vasc based algorithm. Despite differences in accuracy between algorithms, system-wide anticoagulation rates assessed were similar regardless of algorithm used.
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Authors
Ann Marie MD, PhD, Jennifer A. MD, MBA, Jonathan P. MD, MHS, Wassim MD, Lauren BS, Judith A. MS, Sana M. MD, MHS, Eric D. MD, MPH,