Predicting rapid DUI recidivism using the Driver Risk Inventory on a state-wide sample of Floridian DUI offenders

Drug and Alcohol Dependence

Volumn 118, Issue 2-3, 2011, Pages 423-429

  Bishop, Nicholas J ^a  

^a ARIZONA STATE UNIVERSITY   (United States)

Author keywords

Cox proportional hazards models; Driver Risk Inventory (DRI); Rapid DUI recidivism; Substance abuse

Indexed keywords

ADULT; ALCOHOL ABUSE; ARTICLE; CRIMINAL BEHAVIOR; DEMOGRAPHY; DIAGNOSTIC AND STATISTICAL MANUAL OF MENTAL DISORDERS; DRIVER RISK INVENTORY; DRIVING UNDER THE INFLUENCE RECIDIVISM; DRUG DEPENDENCE; FEMALE; FOLLOW UP; HUMAN; MAJOR CLINICAL STUDY; MALE; OFFENDER; PRIORITY JOURNAL; PROPORTIONAL HAZARDS MODEL; RATING SCALE; RECEIVER OPERATING CHARACTERISTIC; RECIDIVISM; RISK ASSESSMENT; SUBSTANCE ABUSE; UNITED STATES; VALIDITY;

ADULT; ALCOHOL DRINKING; ALCOHOLIC INTOXICATION; AUTOMOBILE DRIVING; CRIMINALS; FEMALE; FLORIDA; HUMANS; MALE; MIDDLE AGED; PREDICTIVE VALUE OF TESTS; RECURRENCE; REPRODUCIBILITY OF RESULTS; RISK; SENSITIVITY AND SPECIFICITY;

EID: 80053569687     PISSN: 03768716     EISSN: 18790046     Source Type: Journal    
DOI: 10.1016/j.drugalcdep.2011.05.006     Document Type: Article

References (20)

1. Albery I.P., Strang J., Gossop M., Griffiths P. Illicit drugs and driving: prevalence, beliefs and accident involvement among a cohort of current out-of-treatment drug users. Drug Alcohol Depen. 2000, 58:197-204.
2. American Psychiatric Association Diagnostic and Statistical Manual of Mental Disorders 2000, American Psychiatric Association, Washington, DC. fourth ed.
3. Anderson B.J., Snow R.W., Wells-Parker E. Comparing the predictive validity of DUI risk screening instruments: development of validation standards. Addiction 2000, 95:915-929.
4. Behavior Data Systems, Ltd., 1985. Driver Risk Inventory (DRI), Phoenix, AZ.
5. Bishop N. Predicting multiple DUI offenders using the Florida DRI. Subst. Use Misuse 2011, 46:696-703.
6. Bradstock M.K., Marks J.S., Forman M.R., Gentry E.M., Hogelin G.C., Binkin N.J., Trowbridge F.L. Drinking-driving and health lifestyle in the United States: behavioral risk factors surveys. J. Stud. Alcohol 1987, 48:147-152.
7. C'de Baca J., Miller W.R., Lapham S. A multiple risk factor approach for predicting DWI recidivism. J. Subst. Abuse Treat. 2002, 21:207-215.
8. Chang I., Gregory C., Lapham S.C. Review of screening instruments and procedures for evaluating DWI offenders 2002, AAA Foundation of Traffic Safety, Washington, DC.
9. Christophersen A.S., Skurtveit S., Morland J. Re-arrest rates among Norwegian drugged drives compared with drunken drivers. Drug Alcohol Depen. 2002, 66:85-92.
10. Hosmer D.W., Lemeshow S. Applied Logistic Regression 2000, Wiley-Interscience, New York.
11. Leshowitz B., Meyers J.M. Application of decision theory to DUI assessment. Alcohol Clin. Exp. Res. 1996, 20:1148-1152.
12. Maisto S.A., Saitz R. Alcohol use disorders: screening and diagnosis. Am. J. Addict. 2003, 12:S12-S25.
13. National Highway and Traffic Safety Administration, 2008. Traffic safety facts. Alcohol-impaired driving. DOT HS 811 155. (accessed 19.07.2010). http://www-nrd.nhtsa.dot.gov/Pubs/811155.PDF.
14. Nochajski T.H., Wieczorek W.F. Driver characteristics as a function of DWI history. Alcohol, Drugs and Traffic Safety-T2000 2000, Ekonomi-Print, Stockholm. H. Laurell, F. Schlyter (Eds.).
15. Nochajski T.H., Stasiewicz P.R. Relapse to driving under the influence (DUI): a review. Clin. Psychol. Rev. 2006, 26:179-195.
16. Peck R.C. The identification of multiple accident correlates in high risk drivers with specific emphasis on the role of age, experience and prior traffic violation frequency. Alcohol Drugs Driving 1993, 9:145-166.
17. Popkin C.L., Kanneberg C.H., Lacey J.H., Waller P.F. Assessment of classification instruments designed to detect alcohol abuse (DOT HS 807 475). 1988, US Department of Transportation, NHSTA, Washington, DC.
18. SAS Institute Inc., 2008. SAS/STAT® 9.2 User's Guide. SAS Institute Inc., Cary, NC.
19. Schell T.L., Chan K.S., Morral A.R. Predicting DUI recidivism: personality, attitudinal, and behavioral risk factors. Drug Alcohol Depen. 2006, 82:33-40.
20. Statistics PASW, 2009. Rel. 18.0.1. SPSS Inc., Chicago.