Exploring the Predictive Validity of Drug Evaluation and Classification Program Evaluations [Traffic Tech]
-
2021-05-01
Details:
-
Creators:
-
Corporate Creators:
-
Subject/TRT Terms:
-
Publication/ Report Number:
-
Series:
-
Resource Type:
-
Geographical Coverage:
-
Edition:Traffic Tech
-
Corporate Publisher:
-
Abstract: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.
-
Format:
-
Collection(s):
-
Main Document Checksum:
-
File Type:
Supporting Files
-
No Additional Files
More +