Exploring the Predictive Validity of Drug Evaluation and Classification Program Evaluations [Traffic Tech]
Amy J. Porath-Waller, D J Beirness, Dereece Smither, National Highway Traffic Safety Administration: Office of Advanced Vehicle Safety Research · ROSA P · 2021
This Traffic Tech Technology Transfer Series report briefly summarizes a larger report, Exploring the Predictive Validity of Drug Evaluation and Classification Programs, Report No. DOT 812 959, that studied which combinations of drug-related signs and symptoms from the Drug Evaluation and Classification (DEC) protocol most efficiently and effectively predicted the drug category or combination used by the subjects. A sample of 2,261 DEC evaluations conducted on suspected drug-impaired drivers in 11 States included cases that involved specific drug categories and two-drug combinations commonly encountered by drug recognition experts. Thirteen drug-related indicators were found to significantly contribute to the prediction of drug category; 12 indicators contributed significantly to the prediction of drug combinations.