Research

Background: Major depression in older adults is generally underdiagnosed and undertreated. Underreporting of the disease in claims data limits the accuracy of algorithms to identify the disease. As administrative claims data has been frequently used for quality measures and improvement, it is important to develop and validate methods to identify older adults with depression and those who received care. OBJECTIVES: To describe the validity of methods for depression identification in an older Medicare population.
Related People: Eunsun Noh and Brian J. Quilliam
(1)College of Pharmacy, University of Rhode Island, Kingston, RI