Estimating Concussion Incidence Using Sports Injury Surveillance Systems: Complexities and Potential Pitfalls

Authors

Zachary Y. Kerr, The University of North Carolina at Chapel Hill
Scott L. Zuckerman, Vanderbilt University Medical Center
Johna K. Register-Mihalik, The University of North Carolina at Chapel Hill
Erin B. Wasserman, Datalys Center for Sports Injury Research and Prevention
Tamara C. Valovich McLeod, School of Osteopathic Medicine in Arizona
Thomas P. Dompier, Datalys Center for Sports Injury Research and Prevention
R. Dawn Comstock, Colorado School of Public Health
Stephen W. Marshall, The University of North Carolina at Chapel Hill

Document Type

Article

Publication Title

Neurologic Clinics

Abstract

Numerous sports injury surveillance systems exist with the capability of tracking concussion incidence data. It is important for the consumers of sport-related concussion data, be they researchers or the public, to have a comprehensive understanding of the strengths and limitations of sports injury surveillance systems. This article discusses issues of system design and analysis that affect the interpretation and understanding of sport-related concussion incidence data from sports injury surveillance systems. Such understanding will help inform the design of sports injury surveillance systems and research studies that aim to identify risk factors, develop prevention strategies, and evaluate prevention mechanisms.

First Page

409

Last Page

434

DOI

10.1016/j.ncl.2017.03.001

Publication Date

8-1-2017

Recommended Citation

Kerr, Zachary Y.; Zuckerman, Scott L.; Register-Mihalik, Johna K.; Wasserman, Erin B.; Valovich McLeod, Tamara C.; Dompier, Thomas P.; Comstock, R. Dawn; and Marshall, Stephen W., "Estimating Concussion Incidence Using Sports Injury Surveillance Systems: Complexities and Potential Pitfalls" (2017). AT Faculty Publications. 199.
https://scholarworks.atsu.edu/at-faculty/199