A Systematic Review of Validated Methods for Identifying Bell's Palsy using Administrative or Claims Data

Project Title A Systematic Review of Validated Methods for Identifying Bell's Palsy using Administrative or Claims Data
Date
Monday, December 30, 2013
Location
Description

This article describes a systematic review to identify algorithms to detect Bell's palsy using administrative data sources and to describe the performance characteristics of these algorithms as reported by the studies in which they were used.

Health Outcome
Bell’s palsy
Corresponding Author

Christopher D. Lee, Department of Neurology, Vanderbilt University Medical Center, 1161 21st Avenue South, A-0118 MCN, Nashville, TN 37232, USA. Email: christopher.lee@vanderbilt.edu

Authors

Christopher D. Lee MD, MPH; Ryan Carnahan PharmD, MS, BCPP; Melissa L. McPheeters PhD, MPH

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