Using Integrated Crash and Hospital Data to Assess Older Occupant Outcomes



In the last decade, older persons experienced a 30% increase in population growth, and a similar increase in fatal MVCs. In 2017, nearly 5,000 persons 70 and older died in MVCs. For every fatality, thousands require hospitalization or emergency department treatment. The CDC has funded four-states to analyze probabilistically linked MVC outcomes in this population. Focusing on older persons, this session provides an overview of probabilistic linkage methodology and the value added from hospital outcomes when assessing MVC injuries; describes factors related to injury severity and injured body region; discusses methodology for estimating the cost of MVCs; and provides a technique for estimating the risk of being an MVC contributing driver.


Larry Cook | Master Statistician | University of Utah

Dr. Cook is an Associate Professor in the Department of Pediatrics. He has more than two decades of experience utilizing probabilistically linked databases to address traffic safety issues. He has published more than fifty papers on the theory and application of probabilistic linkage. Findings from Dr. Cook’s research have been used to support a number of traffic safety legislative priorities such as child passenger safety, primary safety belt enforcement, and graduated driver licensing.

Nikiforos Nikiforos | Professor | University of Kentucky

Dr. Stamatiadis is a Professor of Civil Engineering at the University of Kentucky (UK). He obtained his Ph.D. from Michigan State University. Dr. Stamatiadis has been actively involved in establishing a strong traffic and transportation teaching and research program at UK. His research interests include issues on traffic safety, highway design, and non-motorized transportation. He has completed research grants on safety issues of the elderly, license renewal alternatives, speed management, and effects of design element choices on roadway safety. He has recently completed the development of a new functional classification system to be used in the AASHTO Green Book and evaluation of the safety impacts of geometry on nighttime crashes.

Roumen Vesselinov | Research Associate | STAR and National Study Center, University of Maryland at Baltimore

Roumen Vesselinov, PhD, is a Research Associate at Department of Epidemiology and Public Health, Department of Anesthesiology and the National Study Center at University of Maryland. He is the PI for four projects funded by the Maryland Highway Safety Office related to traffic records, seatbelt use, pedestrian fatalities, and predictive modeling of crash fatalities. Dr. Vesselinov is co-investigator on grants from Department of Defense and US Army medical research. Dr. Vesselinov has participated in research funded by the National Institutes of Health, MacArthur Foundation, National Institute of Justice, etc. He has more than 30 publications. He has taught at Queens College, Citi University of New York and University of South Carolina.

Motao Zhu | Associate Professor of Pediatrics and Epidemiology | Center for Injury Research and Policy

Motao Zhu is a principal investigator at the Center for Injury Research and Policy at Nationwide Children’s Hospital, and an associate professor of pediatrics and epidemiology at the Ohio State University.

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