The use of administrative data as a substitute for individual screening scores in observational studies related to problematic alcohol or drug use

Drug and Alcohol Dependence

Volumn 111, Issue 1-2, 2010, Pages 89-96

  Sears, Jeanne M ^a,b   Krupski, Antoinette ^a   Joesch, Jutta M ^a   Estee, Sharon L ^c   He, Lijian ^c   Shah, Melissa Ford ^c   Huber, Alice ^d   Dunn, Chris ^a   Ries, Richard ^a   Roy Byrne, Peter P ^a  

^a UNIVERSITY OF WASHINGTON SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF WASHINGTON   (United States)

^c Washington State Department of Social and Health Services   (United States)

^d Health and Recovery Services Administration   (United States)

Author keywords

Administrative data; Alcohol abuse; AUDIT; DAST; ROC curve; Substance abuse

Indexed keywords

ADULT; ALCOHOL USE DISORDER IDENTIFICATION TEST; ALCOHOLISM; ARTICLE; CLINICAL ASSESSMENT TOOL; CONTROLLED STUDY; DATA ANALYSIS; DRUG ABUSE SCREENING TEST; FEMALE; HEALTH SERVICE; HIGH RISK PATIENT; HUMAN; MAJOR CLINICAL STUDY; MALE; MEDICAID; MEDICAL RECORD; OBSERVATIONAL STUDY; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; RISK ASSESSMENT; SCORING SYSTEM; SCREENING TEST; SELF REPORT; SUBSTANCE ABUSE; VALIDATION STUDY;

ADULT; DATABASES, FACTUAL; FEMALE; HUMANS; MALE; MIDDLE AGED; ROC CURVE; SENSITIVITY AND SPECIFICITY; SUBSTANCE-RELATED DISORDERS; UNITED STATES;

EID: 77956167029     PISSN: 03768716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.drugalcdep.2010.03.013     Document Type: Article

References (33)

1. Allen J.P., Litten R.Z., Fertig J.B., Babor T. A review of research on the Alcohol Use Disorders Identification Test (AUDIT). Alcohol Clin. Exp. Res. 1997, 21:613-619.
2. Babor T.F., Higgins-Biddle J.C., Saunders J.B., Monteiro M.G. AUDIT: The Alcohol Use Disorders Identification Test, Guidelines for Use in Primary Care 2001, World Health Organization: Department of Mental Health and Substance Dependence, (WHO/MSD/MSB/01.6a). 2nd ed.
3. Babor T.F., Kadden R.M. Screening and interventions for alcohol and drug problems in medical settings: what works?. J. Trauma 2005, 59:S80-S87. (discussion S94-S100).
4. Campbell K.M., Deck D., Krupski A. Record linkage software in the public domain: a comparison of Link Plus. The Link King, and a 'basic' deterministic algorithm. Health Informatics J. 2008, 14:5-15.
5. Cleves M.A. Comparative assessment of three common algorithms for estimating the variance of the area under the nonparametric receiver operating characteristic curve. Stata J. 2002, 2:280-289.
6. DeLong E., DeLong D., Clarke-Pearson D. Comparing the areas under two or more correlated Receiver Operating Characteristic curves: a nonparametric approach. Biometrics 1988, 44:837-845.
7. Estee, S., Nordlund, D.J., 2001. Washington State Supplemental Security Income (SSI) Cost Offset Pilot Project. 2001 Progress Report. Report No. 11.101. Research and Data Analysis Division, Department of Social and Health Services, Olympia, WA.
8. Estee, S., Nordlund, D.J., 2003. Washington State Supplemental Security Income (SSI) Cost Offset Pilot Project. 2002 Progress Report. Report No. 11.109. Research and Data Analysis Division, Department of Social and Health Services, Olympia, WA.
9. Gerson L.W., Boex J., Hua K., Liebelt R.A., Zumbar W.R., Bush D., Givens C. Medical care use by treated and untreated substance abusing Medicaid patients. J. Subst. Abuse Treat. 2001, 20:115-120.
10. Greiner M., Pfeiffer D., Smith R.D. Principles and practical application of the receiver-operating characteristic analysis for diagnostic tests. Prev. Vet. Med. 2000, 45:23-41.
11. Hosmer D.W., Lemeshow S. Applied Logistic Regression 2000, Wiley-Interscience, New York.
12. Institute of Medicine America's Health Care Safety Net: Intact but Endangered 2000, National Academy Press, Washington, DC.
13. Justice A.C., Erdos J., Brandt C., Conigliaro J., Tierney W., Bryant K. The Veterans Affairs Healthcare System: a unique laboratory for observational and interventional research. Med. Care 2006, 44:S7-12.
14. Kohlenberg L., He L., Luchansky B., Longhi D., Wang B. Improve Outcomes and Reduce Government Costs by Increasing Alcohol/Drug Treatment for DSHS Clients 1999, Research and Data Analysis Division, Department of Social and Health Services, Olympia.
15. Leeflang M.M., Bossuyt P.M., Irwig L. Diagnostic test accuracy may vary with prevalence: implications for evidence-based diagnosis. J. Clin. Epidemiol. 2009, 62:5-12.
16. Lucenko, B., Mancuso, D., Estee, S., 2008. Co-occurring Disorders among DSHS Clients: A Report to the Legislature. Report Number 3.32. Research and Data Analysis Division, Washington State Department of Social and Health Services, Olympia, WA.
17. Luchansky B., Nordlund D., Estee S., Lund P., Krupski A., Stark K. Substance abuse treatment and criminal justice involvement for SSI recipients: results from Washington state. Am. J. Addict. 2006, 15:370-379.
18. Maisto S.A., Carey M.P., Carey K.B., Gordon C.M., Gleason J.R. Use of the AUDIT and the DAST-10 to identify alcohol and drug use disorders among adults with a severe and persistent mental illness. Psychol. Assess. 2000, 12:186-192.
19. Mancuso D., Nordland D., Em F. GA-U clients: Challenges and Opportunities: A Look at the General Assistance-Unemployable Population 2007, Research and Data Analysis Division, Department of Social and Health Services, Olympia, WA.
20. Mancuso D., Nordland D., Felver A. Emergency Room Use Patterns in Washington State Medicaid Recipients 2004, Department of Social and Health Services, Olympia, WA.
21. Mandic S., Go C., Aggarwal I., Myers J., Froelicher V.F. Relationship of predictive modeling to receiver operating characteristics. J. Cardiopulm. Rehabil. Prev. 2008, 28:415-419.
22. McCamant L.E., Zani B.G., McFarland B.H., Gabriel R.M. Prospective validation of substance abuse severity measures from administrative data. Drug Alcohol Depend. 2007, 86:37-45.
23. Parente S.T., Kim S.S., Finch M.D., Schloff L.A., Rector T.S., Seifeldin R., Haddox J.D. Identifying controlled substance patterns of utilization requiring evaluation using administrative claims data. Am. J. Manage. Care 2004, 10:783-790.
24. Rector T.S., Wickstrom S.L., Shah M., Thomas Greeenlee N., Rheault P., Rogowski J., Freedman V., Adams J., Escarce J.J. Specificity and sensitivity of claims-based algorithms for identifying members of Medicare+Choice health plans that have chronic medical conditions. Health Serv. Res. 2004, 39:1839-1857.
25. Reinert D.F., Allen J.P. The Alcohol Use Disorders Identification Test: an update of research findings. Alcohol Clin. Exp. Res. 2007, 31:185-199.
26. SAS Institute, 2010. SAS Knowledge Base/Sample & SAS Notes. Sample 25017: nonparametric comparison of areas under correlated ROC curves, http://support.sas.com/kb/25/017.html.
27. Saunders J.B., Aasland O.G., Babor T.F., de la Fuente J.R., Grant M. Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO Collaborative Project on Early Detection of Persons with Harmful Alcohol Consumption-II. Addiction 1993, 88:791-804.
28. Skinner H.A. Guide for Using the Drug Abuse Screening Test (DAST) 1982, York University, Toronto.
29. van den Hout W.B. The area under an ROC curve with limited information. Med. Decis. Making 2003, 23:160-166.
30. Walkup J.T., Yanos P.T. Psychological research with administrative data sets: an underutilized strategy for mental health services research. Prof. Psych. Res. Pr. 2005, 36:551-557.
31. Wickizer T.M., Krupski A., Stark K.D., Mancuso D., Campbell K. The effect of substance abuse treatment on Medicaid expenditures among general assistance welfare clients in Washington state. Milbank Q. 2006, 84:555-576.
32. Wilchesky M., Tamblyn R.M., Huang A. Validation of diagnostic codes within medical services claims. J. Clin. Epidemiol. 2004, 57:131-141.
33. Yudko E., Lozhkina O., Fouts A. A comprehensive review of the psychometric properties of the Drug Abuse Screening Test. J. Subst. Abuse Treat. 2007, 32:189-198.