Brief Motivational Interviewing for DWI Recidivists Who Abuse Alcohol and Are Not Participating in DWI Intervention: A Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: Driving while impaired (DWI) recidivists with unresolved alcohol use problems pose an ongoing risk for traffic safety. Following conviction, many do not participate in mandated alcohol evaluation and intervention programs, or continue to drink problematically after being relicensed. This study investigated if, in DWI recidivists with alcohol problems and not currently involved in DWI intervention, Brief Motivational Interviewing (BMI) produced greater reductions in risky drinking at 6- and 12-month follow-up compared to an information-advice control condition. Additional analyses explored whether BMI was associated with greater readiness to change, subsequent substance abuse treatment service utilization, and satisfaction compared to the control condition. METHODS: Male and female recidivists with drinking problems and not currently engaged in DWI intervention were recruited, evaluated, and then randomly assigned to receive 1 of 2 manualized interventions: 30-minute BMI session or information-advice. Participants, interviewers, researchers, and statisticians were blind to assignment. Outcomes were changed in: percent of risky drinking days (i.e., > or =3 standard drinks/d for males; > or =2 for females) in the previous 6 months derived from the Timeline Followback, biomarkers of alcohol abuse (GGT, AST, ALT, MCV) by blood assay, and alcohol abuse-related behaviors using the MMPI-Mac scale. Data from the Readiness to Change Questionnaire, a substance abuse service utilization questionnaire, and the Client Satisfaction Scale were also collected. RESULTS: Analyses revealed significant declines in risky drinking with both interventions. BMI (n = 92) resulted in a 25% reduction in risky drinking days at 12-month follow-up, which compared to the control intervention (n = 92) represented a significant decline from 6-month levels. Exposure to BMI also produced significantly greater improvement at 6-month follow-up in a biomarker of alcohol abuse and a behavioral measure related to recidivism risk. Exploration of readiness to change, substance abuse service utilization, and satisfaction with intervention indicated a perception of BMI being more useful in coping with problems. CONCLUSIONS: Brief MI approaches warrant further implementation and effectiveness research as an opportunistic DWI intervention strategy to reduce risks associated with alcohol use outside of clinical and DWI relicensing settings.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".