Exploring the Predictive Validity of Drug Evaluation and Classification Program Evaluations [Traffic Tech]

Details

• Creators:
  Porath-Waller, Amy ; Beirness, Douglas J. ; Smither, Dereece D.
• Corporate Creators:
  United States. Department of Transportation. National Highway Traffic Safety Administration. Office of Behavioral Safety Research
• Subject/TRT Terms:
  • Blood analysis
  • Databases
  • Drugged drivers
  • Highway safety
  • Police
  • Toxicology
  • Training
  • Drugs
  • Impaired drivers
  • Law enforcement
  More +
• Publication/ Report Number:
  DOT HS 813 013
• Series:
  NHTSA BSR Traffic Tech
• DOI:
  https://doi.org/10.21949/1526014
• Resource Type:
  Brief
• Geographical Coverage:
  United States
• Edition:
  Traffic Tech
• Corporate Publisher:
  United States. Department of Transportation. National Highway Traffic Safety Administration
• 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:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/55938/dot_55938_DS1.pdf
• File Type:
  [PDF - 134.37 KB]
• Collection(s):
  NHTSA - Behavioral Safety Research
• Main Document Checksum:
  urn:sha256:973148a8a4e7a83f71d8ae9efd09da0d03e162527ff08bdd7e08c67d2adbac45