Is law enforcement of drug-impaired driving cost-efficient? An explorative study of a methodology for cost–benefit analysis

Quantitative Analysis of the Social Costs of Road Traffic Crashes Literature

Despite recent improvements in tackling road safety challenges, particularly in developed countries, road traffic crashes account for 1.35 million deaths annually and cost over 65 us$ billion. This paper reviews the existing socio-economic costs literature, highlights research gaps, and draws attention to the lack of analysis in developing countries, which account for 90% of the fatalities. We rely on both simple descriptive analyses and formal econometric analyses. Our descriptive results show an upward trend over the recent years, mostly in high and middle-income countries. The paper focuses on the differences in estimating the socio-economic costs of road traffic crashes using two popular methodologies, the willingness-to-pay (wtp) and the human capital (hc). Our econometric analysis shows that papers that use wtp tend to compute the impact as a percentage of gdp that is on average ̃1% higher than those that use the hc approach. Likewise, studies using the human capital method tend to underestimate the total socio-economic costs by a factor of two compared to the cost derived from the wtp approach; this gap then reduces substantially when accounting for population density, countries' income levels, and road safety outcomes. Further, the paper stresses the underreporting problem and the inexistence of a mechanism to reasonably account for it in socio-economic costs calculations. The paper concludes by advocating for more studies focusing on low and middle-income countries using a combination of common approaches with other valuation methods.

Use of multiple data sources to identify specific drugs and other factors associated with drug and alcohol screening of fatally injured motor vehicle drivers

OBJECTIVE

Drugged driving crashes have significantly increased over the past two decades. The objectives of this study were to identify and characterize the drugs present in motor vehicle driver fatalities using multiple surveillance data sources; assess concordance of the data sources in identifying drug presence; and identify demographic and crash factors associated with drug and alcohol screening in fatally injured motor vehicle drivers.

METHODS

Fatality Analysis Reporting System (FARS), Collision Report Analysis for Safer Highways (CRASH), and mortality data sets were linked; drug screening and positive drug screens were identified. Chi-square and conditional logistic regression were performed.

RESULTS

The use of FARS data identified the majority of positive drug screens in the linked data set. Supplementation of FARS data with death certificate and CRASH data increased identification of specific drugs and drug classes detected among fatally injured motor vehicle drivers, although there was a low concordance among the data sources. Alcohol and depressants such as alprazolam had the highest frequencies among fatally injured drivers. Speeding, lack of occupant restraints, young age, commercial truck drivers, and speeding were all factors associated with increased odds of the fatally injured driver being drug or alcohol screened.

CONCLUSIONS

These findings indicate that FARS drug information data may be strengthened through increased autopsy and consultation with medical examiners to better understand and interpret decedent toxicology testing results, and that states with low driver drug testing rates should consider mandatory driver drug testing in fatal crashes.

Use of illicit drugs by truck drivers arriving at Paranaguá port terminal, Brazil

OBJECTIVE

The purpose of this study was to estimate the prevalence of recent use of illicit drugs among truck drivers who had parked their vehicles at the terminal port in Paranaguá City at Paraná State, southern Brazil.

METHODS

This cross-sectional study was part of a larger research project conducted among drivers at a regional Brazilian port. Data on professional characteristics, involvement in road traffic injuries, sleep, and use of alcohol and illicit drugs were collected using a questionnaire. Urine samples were collected and analyzed for amphetamines, cocaine, and cannabis using gas chromatography with mass spectrometric detection.

RESULTS

Sixty-two drivers were included in the study. Toxicological analyses showed that 8.1 percent (95% confidence interval [CI], 2.7-17.8%) of the urine samples were positive for drugs (4.8% for cocaine, 1.6% for amphetamine, and 1.6% for both); 8.1 percent reported drug use during the preceding 30 days in the questionnaire and only one tested positive for the drug in the urine sample. No sample was positive for cannabinoids. In total, at least 14.5 percent (95% CI, 6.9-25.8%) had used illicit drugs during the preceding 30 days based on self-reports and urine testing. Drivers who reported involvement in traffic injuries the year before more often tested positive for drugs in biological samples (P <.05).

CONCLUSIONS

This research provides preliminary evidence that the use of illicit stimulants was common among professional truck drivers transporting grain loads. Thus, actions are needed to reduce drug use among truck drivers in order to prevent drug-related road traffic injuries.