A Randomized Controlled Trial of Brief Motivational Interviewing in Impaired Driving Recidivists: A 5-Year Follow-Up of Traffic Offenses and Crashes


  • Marie Claude Ouimet,

    Corresponding author
    1. Faculty of Medicine and Health Sciences, University of Sherbrooke, Longueuil, Quebec, Canada
    2. Charles LeMoyne Research Center, Longueuil, Quebec, Canada
    • Reprint requests: Marie Claude Ouimet, PhD, Department of Health Community Sciences/Addiction Unit, Faculty of Medicine and Health Sciences, University of Sherbrooke, 150 Charles-Le Moyne PL, suite 200, Longueuil, QC, Canada J4K 0A8; Tel.: 450-463-1835 ext. 61849; E-mail: Marie.Claude.Ouimet@USherbrooke.ca

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  • Maurice Dongier,

    1. Douglas Mental Health University Institute, Montreal, Quebec, Canada
    2. Department of Psychiatry, McGill University, Montreal, Quebec, Canada
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  • Ivana Di Leo,

    1. Douglas Mental Health University Institute, Montreal, Quebec, Canada
    2. Department of Psychiatry, McGill University, Montreal, Quebec, Canada
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  • Lucie Legault,

    1. Douglas Mental Health University Institute, Montreal, Quebec, Canada
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  • Jacques Tremblay,

    1. Douglas Mental Health University Institute, Montreal, Quebec, Canada
    2. Department of Psychiatry, McGill University, Montreal, Quebec, Canada
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  • Florence Chanut,

    1. Department of Psychiatry, University of Montreal, Montreal, Quebec, Canada
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  • Thomas G. Brown

    1. Douglas Mental Health University Institute, Montreal, Quebec, Canada
    2. Department of Psychiatry, McGill University, Montreal, Quebec, Canada
    3. Pavillion Foster Addiction Rehabilitation Centre, St. Philippe de Laprairie, Quebec, Canada
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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.


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.


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.


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.

Progress in reducing road traffic crashes related to driving while impaired (DWI) by alcohol has stalled in the first decade of the twenty-first century after 3 decades of significant improvement (Vanlaar et al., 2012). In part, this loss of momentum is attributable to the intervention refractoriness of a more “hard-core” group of repeated offenders (Simpson et al., 2004). More than other drunk drivers, these offenders have severer drinking problems, drive more frequently with higher blood alcohol levels, demonstrate limited problem recognition (Nochajski and Stasiewicz, 2006), and engage in other risky driving behaviors (e.g., speeding, reckless and unbelted driving; Donovan, 1989; Jonah et al., 2001)—factors that converge to further amplify their crash risk.

Both administrative and psychosocial remedial strategies are deployed to counter recidivism following a DWI arrest. While certain administrative strategies such as interlock programs have been associated with reductions in DWI recidivism and crashes while installed (Voas et al., 2010a), high-quality evidence of the lasting effects from most contemporary psychosocial intervention approaches either is unavailable or provides only marginal support for their effectiveness (Anderson et al., 2009; C'de Baca et al., 2001; Dill and Wells-Parker, 2006; Elder et al., 2005; Timko et al., 2011; Voas and Fisher, 2001; Williams et al., 2007). Moreover, many convicted DWI offenders (higher than 50% in some jurisdictions) choose to either not engage or significantly delay participation in remedial programs required for relicensing often involving evaluation and/or treatment of alcohol misuse. Their reluctance to participate appears to stem from a combination of factors, including limited problem recognition, ambivalence about the need to alter drinking behavior, and little readiness to pay relicensing costs. The result is that these individuals might be at greater risk of further drink-driving compared with drivers who more promptly participate in DWI remedial relicensing programs (Brown et al., 2008; Voas et al., 2010b).

The high rate of nonengagement in remedial programs among the riskiest offenders has led to interest in opportunistic, brief motivation-enhancing interventions that could heighten their readiness to change and reduce their alcohol misuse (Dill and Wells-Parker, 2006; Freeman et al., 2005; Nochajski and Stasiewicz, 2006). Motivational interviewing (MI; Miller and Rose, 2009) represents the motivational approach with the most support for its effectiveness in reducing alcohol-related problems in diverse contexts and populations (Dunn et al., 2001; Smedslund et al., 2011). There is emerging evidence that MI may be beneficial in reducing drinking in DWI offenders and self-reported DWI events as well. A randomized controlled trial by our research group (Brown et al., 2010) investigated the impact of one 30-minute session of brief motivational interviewing (BMI) versus a 30-minute information control intervention (CTL). In a nonclinical sample of DWI recidivists diagnosed with alcohol abuse (= 184), many of whom had significantly delayed participation in relicensing remediation, both interventions reduced days of risky drinking at 6- and 12-month follow-up. BMI, however, produced significantly greater reductions in an alcohol biomarker of excessive drinking at 6-month follow-up as well as in self-reported risky drinking days from the 6- to 12-month follow-ups compared with CTL. This demonstration of BMI's effectiveness in reducing both self-report and biologic indices of alcohol misuse in a community-recruited, nonclinical sample of recidivists extended the results of 2 previous controlled trials that indicated the self-reported benefits of MI in reducing both problem drinking (Woodall et al., 2007) and drink-driving behaviors (Stein et al., 2006) in forensic samples. In addition, subsequent fine-grained analyses of our 1-year outcomes (Brown et al., 2010) indicated that younger age, lower readiness to change, and severity of alcohol use symptoms and consequences were associated with the greatest benefits following exposure to the brief interventions provided (Brown et al., 2012), findings that have been observed in other populations (Heather et al., 1996; Mallett et al., 2010; Witkiewitz et al., 2010). Finally, DWI offenders with antisocial personality disorder tended to fare better with exposure to MI compared with those with no disorder (Woodall et al., 2007). Overall, these strands of evidence hint that brief interventions may hold selective benefits for DWI recidivists possessing certain characteristics associated with high risk.

A reduction in alcohol misuse in DWI recidivists represents an important public health outcome. Nevertheless, our preliminary results did not directly address BMI's advantage of reducing alcohol-related driving risk indicators over time, such as the number of alcohol-related road traffic crashes or DWI reconvictions. At the same time, while possessing more ecological validity, these dependent variables pose important shortcomings that vex most DWI research. Both variables reflect infrequent events subject to bias from arbitrary factors (e.g., enfor-cement practices, incomplete documentation, court delay, frequent plea bargaining to a lesser charge; Dill and Wells-Parker, 2006; Meyer and Gray, 1997; Rauch et al., 2010). As well, many offenders continue to drive under the influence of elevated but under per se blood alcohol concentration limits and under the influence of drug use, which individually or synergistically significantly impair their safe driving ability (C'de Baca et al., 2009). Drug-impaired driving, although increasingly prevalent, is more difficult to detect than alcohol-impaired driving (Brown and Ouimet, 2012; Lapham et al., 2002). Alternatively, self-reported information concerning DWI events is also problematic. It is subjective, often unreliable (Lapham et al., 2002), and when used in outcome studies, vulnerable to bias from sample attrition when follow-up durations are lengthy. To overcome these hurdles, a multidimensional approach to the measurement of alcohol-related driving risks, including using indicators of risky driving behavior (e.g., speeding), can increase the comprehensiveness and sensitivity of analyses (Nochajski and Stasiewicz, 2006; Rauch et al., 2010).

The present study extends Brown and colleagues' (2010) evaluation of the impact of 2 brief interventions in DWI recidivists. Whereas the initial study examined 12-month outcomes via self-reported and biologic markers of alcohol misuse, the present study examined outcomes related to risky driving convictions and crashes over a 5-year period following intervention. Two principal hypotheses were tested in the current study: (i) in DWI recidivists, exposure to BMI significantly delays a subsequent crash or arrest (followed by a conviction) for DWI, speeding, or other moving traffic violations compared with exposure to CTL; and (ii) recidivist characteristics, specifically age, readiness to change, alcohol misuse severity, and intervention refractoriness, moderate the long-term benefits of BMI.

Materials and Methods

Initial Study: Participants, Recruitment, Study Design, and Interventions

A previous report (Brown et al., 2010) provides complete details about participants, recruitment, participant study flow through and attrition, study design, and interventions. In summary, a community-based sample of DWI recidivists (2 or more convictions) with signs of problem drinking (scores equal to or higher than 8 on the Alcohol Use Disorders Identification Test [AUDIT]; Saunders et al., 1993) was recruited through advertisements in local papers, invitation letters sent by the Quebec Licensing and Insurance Bureau (Société de l'assurance automobile du Québec [SAAQ]), and word of mouth. The Ethics Committee of the Douglas Mental Health University Institute approved and provided oversight to the recruitment and all study protocols. At study recruitment, participants were asked for informed consent giving investigators access to their driving records maintained by the SAAQ.

The study was a double-blind randomized controlled trial in which participants were assigned at baseline to either BMI or CTL. Participants were enrolled in the study between July 2005 and January 2007. Both the BMI and the CTL interventions consisted of one 30-minute session designed and manualized in a pilot study (Chanut et al., 2007). BMI was inspired by the principles and techniques of MI (Miller, 1996) and involves an empathic interviewing style that: (i) recognizes, explores, and aims at resolving client ambivalence to facilitate behavior change; (ii) enhances self-efficacy; (iii) entertains flexible strategies for resolving alcohol misuse and DWI; (iv) avoids argumentation, advising, or convincing; (v) deploys tactics to “roll with resistance”; and (vi) seeks to elicit participant expression of intentions and commitment to change risky drinking (i.e., “change talk” and “commitment talk”). The CTL intervention consisted of delivery of scripted information on the risks of alcohol misuse and DWI, advice to change alcohol misuse, and information about available substance abuse treatment services.

Current Study: Participants

For the purposes of the present study, individuals were included who were initially eligible for participation in the Brown and colleagues (2010) study, but who were also licensed in Quebec at intake and gave consent to access their official driving record.


Driving Records

Participants' driving behavior was monitored via their driving records from study enrollment up to December 31, 2010. Participants gave access to the investigators to their driving records by providing their driving license identification and signing the informed consent at baseline. Each informed consent was also identified with a research identification number. Signed consents were sent to the SAAQ in the fall of 2011 in order to allow all the convictions to be compiled in the SAAQ database. The team received a driving record database from the SAAQ in which participants were only identified by their research identification number. The creation and management of this database conformed to legal and ethical contingencies and standard operating procedures in this regard of both the SAAQ and the Douglas Mental Health University Institute.

Main Dependent Variables

The main dependent variable in this study was the lapse of time in days to a first risky driving event or a crash following exposure to intervention. A risky driving event was operationalized as an arrest for which there was ultimately a conviction for any Criminal Code (e.g., DWI, dangerous operation of a motor vehicle) or Traffic Safety Code violation (e.g., speeding, going through a red light or stop sign, not wearing a safety belt). Time to arrest was chosen over time to conviction because the latter can be confounded by arbitrary factors (e.g., court delay). Crashes included any documented event involving an injury or death.

Moderating Variables

Four moderating variables were examined: age, readiness to change alcohol consumption, alcohol misuse severity, and intervention refractoriness. The 12-item Readiness to Change Alcohol Questionnaire (Heather et al., 1993) based on the Prochaska and DiClemente's Stages of Change model (Prochaska et al., 1992) was used to classify an individual into precontemplation, contemplation, or action concerning their alcohol use. It has been validated for use with the DWI population (Wells-Parker et al., 1998). Alcohol misuse severity was assessed with the AUDIT (Saunders et al., 1993), a 10-item screening questionnaire that validly measures drinking behavior and alcohol-related problems in DWI offenders (Conley, 2001). Intervention refractoriness was gauged by the frequency of past DWI convictions prior to study induction. For the purpose of analyses, age, AUDIT scores, and past DWI convictions were transformed into tertile categories.

Analytic Framework

Cox proportional hazards modeling assessed the effect of assignment to either BMI or CTL in delaying the time to the first documented arrest or crash over the follow-up period. Cox proportional hazards modeling was conducted separately for each potential moderation effect of recidivists' age, intake stage of change, alcohol misuse severity, and number of past DWI convictions. Moderation was indicated by a significant interaction between the group and the moderator variable after accounting for the group and the moderator effects. Alpha for inferences of significance of group main effects was set at p < 0.05, while alpha for inferences of significant moderation effects was corrected for the number of moderator categories (i.e., p < 0.017 for 3 categories).


Current Versus Initial Sample

The final sample included 180 participants (BMI, n = 85; CTL, n = 95). This sample differed from the sample described in Brown and colleagues (2010; i.e., N = 184; BMI, n = 92; CTL, n = 92) in the following ways: (i) 11 participants of the original study were not included in the current study: the recidivism status of 7 participants could not be officially confirmed (e.g., drivers were asked about DWI convictions in the past 15 years, but official documentation was limited to the last 10 years), 2 refused to sign the authorization form to release their driving records, and 2 signed the release but were licensed in another Canadian province, precluding access to their driving record; (ii) 7 participants excluded from the initial study analysis through attrition from 6- and 12-month follow-ups were added in the current study as they had provided informed consent to access their driving records. One hundred and seventy-three participants were common to both the initial study and the current study. Analyses to compare the original Brown and colleagues (2010) study cohort (N = 184) with the present cohort (N = 180) on sociodemographic and moderating variables, and frequency of past DWI convictions indicated no significant differences. Comparisons on these measures between the original study cohort and (i) the 11 participants lost to long-term follow-up and (ii) the 7 participants added in the current study but excluded from the initial study also indicated no significant differences.

General Description of the Current Sample

Participants were mostly men (89.4%), with a mean age in the mid-40s. They were followed up for a mean of 1,684.5 days (SD = 155.7), with a minimum of 1,421 days (3.8 years) for those recruited last into the protocol to a maximum of 1,995 days (5.5 years) for those recruited first. For analysis, age was recoded into tertile categories with the first tertile consisting of an age range from 26.4 to 42.8 years (M = 36.1, SD = 4.4, n = 60), the second from 42.9 to 49.5 years (M = 45.6, SD = 1.8, n = 60), and the third from 49.6 to 64.8 years (M = 55.0, SD = 3.9, n = 60). For the AUDIT, the first tertile ranged up to 17 (M = 12.3, SD = 3.4, n = 62), the second from 18 to 24 (M = 20.7, SD = 1.9, n = 56), and the third from 25 to 40 (M = 30.6, SD = 4.1, n = 62). For intervention refractoriness, the first tertile included offenders with 2 convictions (36.1%, n = 65), the second included 3 convictions (28.9%, n = 52), and the third ranged from 4 to 15 convictions (35.0%, = 63). Table 1 presents demographics at baseline and number of postintervention arrests and crashes of BMI and CTL groups.

Table 1. Demographics at Baseline and Number of Postintervention Arrests/Convictions and Crashes by Group (Brief Motivational Interviewing [BMI], n = 85 and Control [CTL], n = 95)
M (%)SDM (%)SD
  1. DWI, driving while impaired.

  2. a

    For CTL, n = 94.

Male gender(94.1) (85.3) 
Education (years)12.72.913.42.8
Currently cohabiting(18.8) (20.0) 
Annual revenuea
$0 to 11,999(29.4) (29.8) 
$12,000 to $29,999(34.1) (29.8) 
$30,000 to $49,999(24.7) (30.8) 
≥$50,000(11.8) (9.6) 
Full-time or regular part-time employment(51.7) (50.6) 
Traffic arrests/convictions and crashes
% With at least 1 arrest(24.7) (27.4) 
% With at least 1 DWI arrest(8.3) (11.6) 
% With at least 1 crash(4.7) (6.3) 


Initial descriptive analysis revealed that an arrest resulting in conviction occurred in 47 participants (26.1%) over the follow-up period in the full sample, 24.7% of participants within group BMI and 27.4% of participants within group CTL. Mean time to the first arrest was 1,381.3 days (95% confidence interval [CI] = 1,261.8, 1,500.8) for group BMI and 1,357.9 days (95% CI = 1,235.3, 1,470.4) for group CTL. Figure 1 depicts cumulative survival function to the first event across both groups. Initial analysis was carried out to detect a main effect of group in predicting survival time. Cox proportional hazards modeling detected no significant main effect for group (math formula = 0.17, p = 0.68) in prediction of time to arrest.

Figure 1.

Cumulative survival in days to a first arrest/conviction for driving while impaired, speeding, or other moving traffic violation by group (brief motivational interviewing [BMI], n = 85 and Control [CTL], n = 95).

Of the different moderators tested, and after accounting for both group and age (math formula = 0.81, p = 0.81), the group–age category interaction added significantly to prediction of time to arrest (math formula = 10.53, p = 0.005). Table 2 summarizes mean days to an arrest for DWI, speeding, or other moving traffic violations and 95% CI of participants for groups BMI and CTL stratified by age tertiles. In the youngest age tertile (26.4 to 42.8 years of age), time to arrest was significantly predicted by group (math formula = 7.80, p = 0.005, hazard ratio = 4.93, 95% CI = 1.39, 17.51). Figure 2 depicts the cumulative survival curves in this age tertile. Analyses revealed no significant effect of group in predicting time to arrest in the second (math formula = 2.30, p = 0.13) or third (math formula = 0.31, p = 0.58) age tertile categories. No significant moderation effects were found for readiness to change, alcohol misuse severity, or past convictions.

Table 2. Mean Days and 95% Confidence Intervals (CI) Until a First Arrest Leading to Conviction for Driving While Impaired (DWI), Speeding, or Other Moving Violations by Age Tertile and Group (Brief Motivational Interviewing [BMI], n = 85 and Control [CTL], n = 95)
 Group n Mean days95% CI
Age tertiles
1st: 26.4 to 42.8 yearsBMI301,581.01,447.31,714.7
2nd: 42.9 to 49.5 yearsBMI241,159.6896.11,423.1
3rd: 49.6 to 64.8 yearsBMI311,359.71,140.51,579.0
Figure 2.

Cumulative survival of participants in first age tertile (26.4 to 42.8 years of age) in days to a first arrest/conviction for driving while impaired, speeding, or other moving traffic violation by group (brief motivational interviewing [BMI], n = 85 and Control [CTL], n = 95).


Ten participants were involved in a documented crash (5.6%) over the follow-up period, 4 (4.7%) in group BMI and 6 (6.3%) in group CTL. Mean time to the first crash for participants in groups BMI and CTL were 1,630.1 days (95% CI = 1,567.2, 1,693.1) and 1,606.2 days (95% CI = 1,536.0, 1,676.4), respectively. Group differences or moderation effects were not detected.


The present study investigated the outcomes of DWI recidivists randomly assigned to receive either BMI or CTL intervention. Follow-up durations ranged from a minimum of approximately 4 years to a maximum of over 5 years. The main finding was that while group membership alone was not associated with significantly different outcomes across all participants, better outcome with exposure to BMI compared with CTL was uncovered when the effect of age was accounted for: that is, a significantly longer delay in a subsequent conviction for DWI, speeding, or another moving traffic violation was found in the youngest offenders exposed to BMI compared with CTL. As such, BMI is more advantageous in delaying convictions for offenses associated with DWI recidivism status in a particularly at-risk group, namely younger drivers.

This study is unique among the rare investigations evaluating BMI for DWI (for review, see McMurran, 2009) for its combination of randomized controlled trial methodology, length of follow-up, use of objective documented outcome indicators, and recruitment of a naturalistic, nonclinical sample potentially more akin to the DWI recidivist population than undertaken in previous studies. These distinctions also mean that direct comparisons between this study and most previous ones must be undertaken cautiously. Nevertheless, 2 well-controlled studies with random assignment and objective long-term outcomes (i.e., DWI reconviction events) explored the effect of exposure to BMI variants versus no exposure, one with imprisoned DWI offenders and a 24-month follow-up period (Woodall et al., 2007) and the other with DWI remedial program participants and a 6-year follow-up period (Wells-Parker and Williams, 2002). Both studies failed to reject the null hypothesis for a main effect of intervention exposure. In 2 other investigations, however, an effect of BMI exposure was detected. A randomized controlled study with incarcerated adolescents (Stein et al., 2006) found that those exposed to BMI had reduced DWI behavior over a 3-month follow-up period, although its short-term follow-up and reliance on self-report are important methodological shortcomings. The other study (Marques et al., 1999) looked at an objective indicator of elevated blood alcohol levels via alcohol interlock devices installed in the vehicles of convicted offenders for up to a 2-year follow-up duration. It found that offenders from a city where BMI was provided in addition to interlock installation had fewer positive blows than offenders from a city where BMI was not provided. This study more objectively assessed DWI behavior than the Stein and colleagues' (2006) investigation. At the same time, its findings were also potentially confounded by its quasi-experimental methodology and sampling limited to the minority of offenders willing to volunteer for participation in an interlock program. No other studies to our knowledge have explored the impact of BMI on crashes. Overall, when considering heterogeneous samples of DWI offenders and longer-term outcomes, the strongest evidence suggests that exposure to BMI is not more advantageous than a CTL in reducing reconvictions and crashes.

Analyses to discern moderation of effects by participant characteristics on outcome revealed a more nuanced impact of BMI. Understanding characteristics of individuals most apt to benefit from treatment is of enduring clinical and research interest in the substance abuse field. Some selective responsivity in younger individuals to common DWI interventions has been reported (Brown et al., 2012; Wells-Parker et al., 1989). Nevertheless, aside from a few notable exceptions (Wells-Parker and Williams, 2002), subgroup analyses looking at long-term effects of BMI on DWI and other risky driving behavior are rare. Investigation of age-related moderation in BMI's effectiveness in the more extensive substance abuse literature has yielded mixed results regarding substance use outcomes (Foxcroft et al., 2002; Mallett et al., 2010; McCambridge and Strang, 2005). The present findings extend previous support for BMI (Dill et al., 2004; D'Onofrio and Degutis, 2004; Monti et al., 1999) as an appropriate brief intervention strategy for achieving reductions in DWI and other risky driving behavior in younger offenders. More research is needed to understand why BMI is selectively advantageous for younger client groups.

Clinical Implications

In considering the implications of the findings to applied settings, several features of the present study are worth noting. Delivery of both interventions was manualized and highly controlled for fidelity, including the use of the Motivational Interviewing Treatment Integrity protocol (Moyers et al., 2005) and an iterative supervision procedure (for details, see Brown et al., 2010). This level of control is not likely to be feasible in most of the applied settings. Moreover, mandated DWI relicensing programs represent a unique set of conditions and therapeutic challenges (Lapham et al., 2006) and are characterized by the frequent simultaneous use of remedial and deterrence strategies. These distinctions underscore the well-established gap between data garnered from efficacy studies and their real-world deployment. Despite these caveats, the results of the present study, based on a very brief delivery format and a sample of non-help-seeking DWI recidivists, lend support for BMI's potential as an intervention that could be opportunistically and advantageously deployed in settings where younger non-help-seeking DWI offenders are encountered (e.g., emergency rooms, court settings soon after an arrest, frontline health settings). Confirmation of its benefits for reducing driving risks when embedded into these and other specific contexts (e.g., mandated relicensing programs) awaits further effectiveness research.


Limits in the generalizability of the findings to mandated DWI remedial programs have been noted above. Arrests/convictions and crashes are rare events (Beitel et al., 2000), a problem that vexes the orchestration of controlled studies in the area (Dill and Wells-Parker, 2006). Measurement of these phenomena would benefit from a much larger sample to better power and stabilize the analyses. Replication of this study using larger samples is warranted to confirm the results. In addition, several local factors may influence convictions for DWI, speeding, or other moving traffic violations, including enforcement rigor and legal dispositions. As a result, the findings may not be readily generalizable to offenders from jurisdictions with significantly different approaches to DWI deterrence and intervention from those in force in the province of Quebec.


In at-risk younger drivers, BMI was more advantageous for reducing DWI and other dangerous traffic violations over a 5-year duration than an intervention similar to that provided in many contemporary remedial programs.


This study was supported by grants from the ABMRF/The Foundation for Alcohol Research, the Canadian Institutes of Health Research Team in transdisciplinary studies in DWI onset, persistence, prevention and treatment, the Canadian Psychiatric Research Foundation, and start-up funding from the McGill-Dongier Endowment for Addiction Research. MCO was supported through a career award from the Quebec Health Research Fund (Fonds de recherche du Québec— Santé) and TGB by a career award from the Quebec Council for Research into Society and Culture (now Fonds de recherche du QuébecSociété et Culture). The authors would like to thank Edwin Cheung for help in processing the data for this manuscript and Lyne Vézina and François Tardif of the Quebec Licensing and Insurance Bureau (Société de l'assurance automobile du Québec) for compiling participants' driving records to the research team.