Predicting categories of drugs used by suspected drug-impaired drivers using the Drug Evaluation and Classification Program tests
| Autor: | Douglas James Beirness, Amy J Porath |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Drug
medicine.medical_specialty media_common.quotation_subject Audiology Drug detection Predictive Value of Tests 0502 economics and business Medicine Humans 0501 psychology and cognitive sciences Set (psychology) Driving Under the Influence 050107 human factors media_common Multinomial logistic regression 050210 logistics & transportation biology business.industry 05 social sciences Public Health Environmental and Occupational Health biology.organism_classification Test (assessment) Substance Abuse Detection Blood pressure Observational study Cannabis business Safety Research |
| DOI: | 10.6084/m9.figshare.7955840.v2 |
| Popis: | Objective: The purpose of this study was to statistically determine which combination(s) of drug-related signs and symptoms from the Drug Evaluation and Classification (DEC) protocol best predict the drug category used by the suspected drug-impaired driver. Methods: Data from 1,512 completed DEC evaluations of suspected impaired drivers subsequently found to have ingested central nervous system (CNS) depressants, CNS stimulants, narcotic analgesics, and cannabis were analyzed using a multinomial logistic regression procedure. A set of evaluations completed on drug-free subjects was also included. The relative importance of clinical, behavioral, and observational measures in predicting drug categories responsible for impairment was also examined. Results: Thirteen drug-related indicators were found to significantly contribute to the prediction of drug category, including being under the care of a doctor or dentist, condition of the eyes, condition of the eyelids, mean pulse rate, assessment of horizontal gaze nystagmus (HGN), convergence, performance on the One Leg Stand (OLS) Test, eyelid tremors, pupil size in darkness, reaction to light, presence of visible injection sites, systolic blood pressure, and muscle tone. Indicators related to the appearance and physiological response of the eye contributed the most to the prediction of drug category, followed closely by clinical indicators and performance on the psychophysical tests. Conclusions: The findings from this study suggest that drug recognition experts (DREs) should be careful to review a set of key signs and symptoms when determining the category of drug used by suspected drug-impaired drivers. Drug use indicators related to the appearance and physiological response of the eye were found to contribute the most to the prediction of the drug category responsible for the impairment. These results could help form the basis of a core set of indicators that DREs could initially consult to form their opinion of drug influence. This in turn may enhance the validity, effectiveness, and efficiency of drug detection and identification by DREs and lead to a more effective and efficient DEC program, improved enforcement of drug-impaired driving, and greater acceptance of the DEC program by the courts. |
| Databáze: | OpenAIRE |
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