| Title | Exploring the Predictive Validity of Drug Evaluation and Classification Program Evaluations [Traffic Tech] |
|---|---|
| Record ID | 80797 |
| Personal Name Creator |
Porath-Waller, Amy; Beirness, Douglas J.; Smither, Dereece D. |
| Corporate Creator | 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 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. |
| Rosap ID | dot:55938 |
| Rosap URL | https://rosap.ntl.bts.gov/view/dot/55938 |
| TRT Terms | Blood analysis; Databases; Drugged drivers; Highway safety; Police; Toxicology; Training; Drugs; Impaired drivers; Law enforcement; Statistical analysis |
| Geographical Coverage |
United States |
| TRIS Online Accession No |
1774591 |
| Report Number | DOT HS 813 013 |
| Resource type | Brief |
| URL | https://ntlrepository.blob.core.windows.net/lib/80000/80700/80797/14821-TT-Predictive_Validity_of_DEC_051021_v3_tag.pdf |
| Format | |
| Database | NTL Digital Repository |