Evaluating the Association between Polysubstance Impairment and Injury or Death in MV Crashes


The New York State (NYS) CODES links crash report and hospital data related to motor vehicle (MV) crashes. There are gaps in knowledge on driving under the influence of alcohol plus other substances. A bivariate logistic regression model assessed the association between being Killed or Severely Injured (KSI) and polysubstance impaired driving. From 2012-2014, there were 122 polysubstance related MV crashes in NYS. In this analysis, 22,052 drivers were classified as KSI. Drivers who were polysubstance impaired had 4.5 greater odds of being KSI compared to drivers who were not known to be polyimpaired while in a MV crash. This analysis suggests that polyimpaired drivers have a higher likelihood of being KSI in a MV crash.


Emilia Pawlowski | Research Scientist I | New York State Department of Health 

Emilia Pawloski is a Research Scientist in the Bureau of Occupational Health and Injury Prevention, in the New York State Department of Health. Her work includes data support to several injury surveillance projects and research, including the linkage of the Crash Outcome Data Evaluation System (CODES). She received her MS in epidemiology from the University at Albany School of Public Health and is currently working toward her PhD in epidemiology.


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Session C – Sabine
Emilia Pawlowski

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