Repeat DUI offenders who have had a drug diagnosis: are they more prone to traffic crashes and violations?

Effectiveness of road safety interventions: An evidence and gap map

Background

Road Traffic injuries (RTI) are among the top ten leading causes of death in the world resulting in 1.35 million deaths every year, about 93% of which occur in low- and middle-income countries (LMICs). Despite several global resolutions to reduce traffic injuries, they have continued to grow in many countries. Many high-income countries have successfully reduced RTI by using a public health approach and implementing evidence-based interventions. As many LMICs develop their highway infrastructure, adopting a similar scientific approach towards road safety is crucial. The evidence also needs to be evaluated to assess external validity because measures that have worked in high-income countries may not translate equally well to other contexts. An evidence gap map for RTI is the first step towards understanding what evidence is available, from where, and the key gaps in knowledge.

Objectives

The objective of this evidence gap map (EGM) is to identify existing evidence from all effectiveness studies and systematic reviews related to road safety interventions. In addition, the EGM identifies gaps in evidence where new primary studies and systematic reviews could add value. This will help direct future research and discussions based on systematic evidence towards the approaches and interventions which are most effective in the road safety sector. This could enable the generation of evidence for informing policy at global, regional or national levels.

Search Methods

The EGM includes systematic reviews and impact evaluations assessing the effect of interventions for RTI reported in academic databases, organization websites, and grey literature sources. The studies were searched up to December 2019.

Selection Criteria

The interventions were divided into five broad categories: (a) human factors (e.g., enforcement or road user education), (b) road design, infrastructure and traffic control, (c) legal and institutional framework, (d) post-crash pre-hospital care, and (e) vehicle factors (except car design for occupant protection) and protective devices. Included studies reported two primary outcomes: fatal crashes and non-fatal injury crashes; and four intermediate outcomes: change in use of seat belts, change in use of helmets, change in speed, and change in alcohol/drug use. Studies were excluded if they did not report injury or fatality as one of the outcomes.

Data Collection and Analysis

The EGM is presented in the form of a matrix with two primary dimensions: interventions (rows) and outcomes (columns). Additional dimensions are country income groups, region, quality level for systematic reviews, type of study design used (e.g., case-control), type of road user studied (e.g., pedestrian, cyclists), age groups, and road type. The EGM is available online where the matrix of interventions and outcomes can be filtered by one or more dimensions. The webpage includes a bibliography of the selected studies and titles and abstracts available for preview. Quality appraisal for systematic reviews was conducted using a critical appraisal tool for systematic reviews, AMSTAR 2.

Main Results

The EGM identified 1859 studies of which 322 were systematic reviews, 7 were protocol studies and 1530 were impact evaluations. Some studies included more than one intervention, outcome, study method, or study region. The studies were distributed among intervention categories as: human factors (n = 771), road design, infrastructure and traffic control (n = 661), legal and institutional framework (n = 424), post-crash pre-hospital care (n = 118) and vehicle factors and protective devices (n = 111). Fatal crashes as outcomes were reported in 1414 records and non-fatal injury crashes in 1252 records. Among the four intermediate outcomes, speed was most commonly reported (n = 298) followed by alcohol (n = 206), use of seatbelts (n = 167), and use of helmets (n = 66). Ninety-six percent of the studies were reported from high-income countries (HIC), 4.5% from upper-middle-income countries, and only 1.4% from lower-middle and low-income countries. There were 25 systematic reviews of high quality, 4 of moderate quality, and 293 of low quality.

Authors' Conclusions

The EGM shows that the distribution of available road safety evidence is skewed across the world. A vast majority of the literature is from HICs. In contrast, only a small fraction of the literature reports on the many LMICs that are fast expanding their road infrastructure, experiencing rapid changes in traffic patterns, and witnessing growth in road injuries. This bias in literature explains why many interventions that are of high importance in the context of LMICs remain poorly studied. Besides, many interventions that have been tested only in HICs may not work equally effectively in LMICs. Another important finding was that a large majority of systematic reviews are of low quality. The scarcity of evidence on many important interventions and lack of good quality evidence-synthesis have significant implications for future road safety research and practice in LMICs. The EGM presented here will help identify priority areas for researchers, while directing practitioners and policy makers towards proven interventions.

Impact of Florida's prescription drug monitoring program on drug- related fatal vehicle crashes: a difference-in-differences approach

BACKGROUND

Prescription drug use has soared in the USA within the last two decades. Prescription drugs can impair motor skills essential for the safe operation of a motor vehicle, and therefore can affect traffic safety. As one of the epicentres of the opioid epidemic, Florida has been struck by high opioid misuse and overdose rates, and has concurrently suffered major threats to traffic disruptions safety caused by driving under the influence of drugs. To prevent prescription opioid misuse in Florida, Prescription Drug Monitoring Programs (PDMPs) were implemented in September 2011.

OBJECTIVE

To examine the impact of Florida's implementation of a mandatory PDMP on drug-related MVCs occurring on public roads.

METHODS

We employed a difference-in-differences approach to estimate the difference in prescription drug-related fatal crashes in Florida associated with its 2011 PDMP implementation relative to those in Georgia, which did not use PDMPs during the same period (2009-2013). The analyses were conducted in 2020.

RESULTS

In Florida, there was a significant decline in drug-related vehicle crashes during the 22 months post-PDMP. PDMP implementation was associated with approximately two (-2.21; 95% CI -4.04 to -0.37; p<0.05) fewer prescribed opioid-related fatal crashes every month, indicating 25% reduction in the number of monthly crashes. We conducted sensitivity analyses to investigate the impact of PDMP implementation on central nervous system depressants and stimulants as well as cocaine and marijuana-related fatal crashes but found no robust significant reductions.

CONCLUSIONS

The implementation of PDMPs in Florida provided important benefits for traffic safety, reducing the rates of prescription opioid-related vehicle crashes.

Differences in alcohol cognitions, consumption, and consequences among first-time DUI offenders who co-use alcohol and marijuana

BACKGROUND

A significant portion of alcohol-related DUI offenders engage in co-use of alcohol and marijuana (AM). Given expanding marijuana legalization and the impaired driving risks associated with co-use, it is of increased importance to understand how characteristics of AM co-users compare to those who use alcohol only (AO) in order to inform DUI interventions and prevent recidivism.

METHODS

Participants were 277 first-time DUI offenders enrolled in a first-time DUI offender program across three locations. Using well-established measures, we evaluated differences in alcohol-related cognitions (positive expectancies and self-efficacy), frequency and quantity of alcohol consumption, and alcohol-related consequences between AO users and AM co-users by running a series of multivariate generalized linear models.

RESULTS

Compared to AO users, AM co-users reported lower self-efficacy to achieve abstinence and avoid DUI. Differences in abstinence self-efficacy largely explain higher relative rates of average and peak drinking quantity and higher odds of binge drinking among AM co-user. Despite lower self-efficacy and higher drinking quantity, there were no significant differences between AM and AO-users on alcohol-related consequences and past month reports of drinking and driving.

CONCLUSIONS

Our results provide preliminary evidence that DUI offenders who co-use alcohol and marijuana have higher alcohol use and lower self-efficacy than AO-users, and long-term consequences for this group should be monitored in future research. DUI programs may screen and identify co-users and consider tailoring their interventions to build self-efficacy to address the risks associated with AM co-use uniquely.

A randomized controlled trial of brief motivational interviewing in impaired driving recidivists: a 5-year follow-up of traffic offenses and crashes

Background

In a previously published randomized controlled trial (Brown et al. Alcohol Clin Exp Res 2010; 34, 292–301), our research team showed that a 30-minute brief motivational interviewing (BMI) session was more effective in reducing percentages of risky drinking days in drunk driving recidivists than a control information–advice intervention at 12-month follow-up. In this sequel to the initial study, 2 main hypotheses were tested: (i) exposure to BMI increases the time to further arrests and crashes compared with exposure to the control intervention (CTL) and (ii) characteristics, such as age, moderate the benefit of BMI.

Methods

A sample of 180 community-recruited recidivists who had drinking problems participated in the study. Participants gave access to their provincial driving records at baseline and were followed up for a mean of 1,684.5 days (SD = 155.7) after randomization to a 30-minute BMI or CTL session. Measured outcomes were driving arrests followed by convictions including driving while impaired (DWI), speeding, or other moving violations as well as crashes. Age, readiness to change alcohol consumption, alcohol misuse severity, and number of previous DWI convictions were included as potential moderators of the effect of the interventions.

Results

For arrests, Cox proportional hazards modeling revealed no significant differences between the BMI and the CTL group. When analyses were adjusted to age tertile categories, a significant effect of BMI in the youngest age tertile (<43 years old) emerged. For crashes, no between-group differences were detected.

Conclusions

BMI was better at delaying DWI and other dangerous traffic violations in at-risk younger drivers compared with a CTL similar to that provided in many remedial programs. BMI may be useful as an opportunistic intervention for DWI recidivism prevention in settings such as DWI courts. Treatment effectiveness studies are needed to ascertain how the present findings generalize to the real-world conditions of mandated relicensing programs.

Reducing impaired driving through the identification of Repeat Target Vehicles: A case study

INTRODUCTION

One of the most persistent groups of impaired drivers that are seemingly unaffected by social pressure, moral appeals, and the fear of arrest is that of the repeat impaired driver. This smaller group accounts for a disproportionate number of all impaired driving trips, often with high blood alcohol contents. New approaches are needed to identify and deal with the repeat impaired driver.

METHOD

We propose a method based on the discovery that almost 10% of all impaired driving calls for service involve repeat vehicles. Using the number of times a vehicle appears in our data, the average time to repeat, and the personality characteristics of the repeat impaired driver, we are able to create a comprehensive and predictive description of a Repeat Target Vehicle (RTV).

CONCLUSIONS

Our method provides an opportunity to explore new and innovative crime reduction strategies that were never before possible.

Drunk versus drugged: how different are the drivers?

BACKGROUND

Driving under the influence (DUI) of drugs is increasing in the U.S., but little is known about the differences based on their patterns of use and abuse of alcohol and other drugs.

METHODS

This paper uses a large dataset to study patients admitted to Texas substance abuse treatment programs with one or more past-year DUI arrests. t-Tests are used for comparisons between normally distributed continuous data and chi square for categorical data.

RESULTS

First-time DUI offenders not only differ from those reporting more than one past-year DUI, but they differ among themselves in terms of demographics, treatment participation, substance use problems, and mental health disorders. Those with primary problems with methamphetamine, crack cocaine, powder cocaine, other opiates, sedatives, and heroin reported more days of problems and more daily use than those with problems with alcohol, while offenders with primary problems with cannabis were less impaired.

CONCLUSIONS

The most impaired clients were less likely to be referred to treatment from the justice system, and the differences in drug and alcohol offenders show the need to tailor approaches with education and treatment programs. More attention should be given to the needs of drivers impaired through use of prescription drugs such as the opiates and sedatives, as well as female drivers, and the role of acculturation should be recognized in programs for Hispanic drivers. In addition, specific programs should be targeted to young cannabis abusers and underage offenders. All first-time DUI arrestees should be assessed for their levels of impairment.