ArticleChallenges and Approaches to the Identification of Traumatic Brain Injury Among Nursing Home ResidentsKaron, Sarita L. PhD; Lazarus, Jo-Anne C. PhD; Holman, Laurie BSSection Editor(s): Corrigan, John D. PhD; Bogner, Jennifer PhD Author Information From the Center for Health Systems Research and Analysis (Dr Karon and Ms Holman), and the Department of Kinesiology (Dr Lazarus), University of Wisconsin – Madison. Corresponding author: Sarita L. Karon, PhD, Center for Health Systems Research and Analysis, University of Wisconsin – Madison, Madison, WI. This article was supported by a grant from the National Center for Injury Prevention and Control (NCIPC) of the Centers for Disease Control and Prevention (CDC). Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the NCIPC. Access to the data was provided by the Centers for Medicare and Medicaid Services. The authors gratefully acknowledge the support of Dr Jean Langlois and Ms Marlena Wald of the CDC's National Center for Injury Prevention and Control. Journal of Head Trauma Rehabilitation: November-December 2007 - Volume 22 - Issue 6 - p 350-359 doi: 10.1097/01.HTR.0000300230.13490.11 Buy Metrics Abstract The Minimum Data Set (MDS) is a standardized, federally mandated assessment tool used to identify the needs of nursing home residents and rehabilitation and nursing services received on a routine basis. These data can be used to identify people with traumatic brain injury (TBI), where a diagnosis is recorded. However, both limitations of the MDS and the presence of other neurological issues that can be confused with TBI can reduce the likelihood that brain injury is identified where it exists. The article discusses innovative methodological approaches and challenges to using the MDS data to identify people with TBI in nursing homes. © 2007 Lippincott Williams & Wilkins, Inc.