| Title | Exploring the Predictive Validity of Drug Evaluation and Classification Program Evaluations |
|---|---|
| Record ID | 80796 |
| Personal Name Creator |
Porath-Waller, Amy; Beirness, Douglas J.; Smither, Dereece D. |
| Corporate Creator | Canadian Center on Substance Abuse |
| Corporate Contributor |
United States. Department of Transportation. National Highway Traffic Safety Administration. Office of Behavioral Safety Research |
| Publisher | United States. Department of Transportation. National Highway Traffic Safety Administration |
| Publication Date | 20210501 |
| Language | English |
| Abstract | This report seeks to determine which combinations of drug-related signs and symptoms from the Drug Evaluation and Classification (DEC) protocol most efficiently and effectively predict the drug category or combination used by the subject. A sample of 2,261 DEC evaluations conducted on suspected drug-impaired drivers included cases involving specific drug categories and two-drug combinations commonly encountered by DREs. This study also examined how effectively the set of drug-related measures from the DEC procedure could distinguish drug-positive from drug-negative cases for two common drug categories (cannabis and CNS depressants) and the relative importance of clinical, behavioral and observational measures in predicting drug categories responsible for impairment. 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. |
| Rosap ID | dot:55937 |
| Rosap URL | https://rosap.ntl.bts.gov/view/dot/55937 |
| TRT Terms | Blood analysis; Databases; Drugged drivers; Highway safety; Police; Toxicology; Training; Drugs; Impaired drivers; Law enforcement; Statistical analysis |
| General Subjects | driving under the influence of drugs/DUID; drugged-driving; DRE; DEC program |
| Geographical Coverage |
United States |
| TRIS Online Accession No |
1774590 |
| Contract Number | DTNH22-10-C-00186 |
| Report Number | DOT HS 812 959 |
| Resource type | Tech Report |
| URL | https://ntlrepository.blob.core.windows.net/lib/80000/80700/80796/14815-DEC_PredictiveValidity_050721_v6-tag.pdf |
| Format | |
| Database | NTL Digital Repository |