Using administrative data for longitudinal substance abuse research

Journal of Behavioral Health Services and Research

Volumn 37, Issue 2, 2010, Pages 252-271

  Evans, Elizabeth ^a   Grella, Christine E ^a   Murphy, Debra A ^a   Hser, Yih Ing ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADDICTION; DRUG DEPENDENCE TREATMENT; HEALTH CARE DELIVERY; HUMAN; LONGITUDINAL STUDY; METHODOLOGY; ORGANIZATION AND MANAGEMENT; REVIEW; UNITED STATES;

HEALTH SERVICES ACCESSIBILITY; HUMANS; LONGITUDINAL STUDIES; RESEARCH DESIGN; SUBSTANCE ABUSE TREATMENT CENTERS; SUBSTANCE-RELATED DISORDERS; UNITED STATES;

EID: 77955075142     PISSN: 10943412     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11414-008-9125-3     Document Type: Article

References (143)

1. Hser YI, Anglin MD, Grella C, et al. Drug treatment careers: a conceptual framework and existing research findings. Journal of Substance Abuse Treatment. 1997;14(6):543-558.
2. Hser YI, Teruya C, Brown A, et al. Impact of California's Proposition 36 on the drug treatment system: treatment capacity and displacement. American Journal of Public Health. 2007;97(1):104-109.
3. Lundgren LM, Sullivan L, Amodeo M. How do treatment repeaters use the drug treatment system? an analysis of injection drug users in Massachusetts. Journal of Substance Abuse Treatment. 2006;30(2):121-128.
4. McLellan AT. Have we evaluated addiction treatment correctly? Implications from a chronic care perspective. Addiction. 2002;97(3):249-252.
5. McLellan AT, Lewis DC, O'Brien CP, et al. Drug dependence, a chronic medical illness: implications for treatment, insurance, and outcomes evaluation. JAMA. 2000;284(13):1689-1695.
6. Hser YI, Hoffman V, Grella CE, et al. A 33-year follow-up of narcotics addicts. Archives of General Psychiatry. 2001;58(5):503-508.
7. Moos RH, Moos BS. Sixteen-year changes and stable remission among treated and untreated individuals with alcohol use disorders. Drug and Alcohol Dependence. 2005;80(3):337-347.
8. Price RK, Risk NK, Spitznagel EL. Remission from drug abuse over a 25-year period: patterns of remission and treatment use. American Journal of Public Health. 2001;91(7):1107-1113.
9. Bhandari A, Wagner T. Self-reported utilization of health care services: improving measurement and accuracy. Medical Care Research and Review. 2006;63(2):217-235.
10. Evans E, Murphy D, Grella C, et al. Regulatory issues encountered when conducting longitudinal substance abuse research. Journal of Drug Issues (2008) in press.
11. Anglin MD, Hser YI, Chou C. Reliability and validity of retrospective behavioral self-report by narcotics addicts. Evaluation Review. 1993;17(1):91-108.
12. Cherpitel CJ, Ye Y, Bond J, et al. Validity of self-reported drinking before injury compared with a physiological measure: cross-national analysis of emergency-department data from 16 countries. Journal of Studies on Alcohol and Drugs. 2007;68(2):296-302.
13. Del Boca FK, Noll JA. Truth or consequences: the validity of self-report data in health services research on addictions. Addiction. 2000;95:347-360.
14. Fendrich M, Johnson TP, Wislar JS, et al. The utility of drug testing in epidemiological research: results from a general population survey. Addiction. 2004;99:2197-2208.
15. Langenbucher J, Merrill J. The validity of self-reported cost events by substance abusers: limits, liabilities, and future directions. Evaluation Review. 2001;25(2):184-210.
16. Vitale SG, van de Mheen H, van de Wiel A, et al. Substance use among emergency room patients: is self-report preferable to biochemical markers? Addictive Behaviors. 2006;31(9):1661-1669.
17. Saunders RC, Heflinger CA. Integrating data from multiple public sources: opportunities and challenges for evaluators. Evaluation: The International Journal of Theory, Research and Practice. 2004;10(3):349-365.
18. Banks SM, Pandiani JA. Probabilistic population estimation of the size and overlap of data sets based on date of birth. Statistics in Medicine. 2001;20(9-10):1421-1430.
19. Whalen D, Pepitone A, Graver L, et al. Linking Client Records from Substance Abuse, Mental Health and Medicaid State Agencies. Rockville, MD: U.S. Department of Health and Human Services, Substance Abuse and Mental Health Services Administration; 2001.
20. Brady H, Powell A, Grand S, et al. Access and Confidentiality Issues with Administrative Data. National Research Council Studies of Welfare Populations: Data Collection and Research Issues. Washington: National Academics Press; 2001.
21. McCarty D, McGuire TG, Harwood HJ, et al. Using state information systems for drug abuse services research. American Behavioral Scientist. 1998;41(8):1090-1106.
22. Billings J. Using administrative data to monitor access, identify disparities, and assess performance of the safety net: tools for monitoring the health care safety net. 2003. Available at: http://www.ahrq.gov/data/safetynet/ billing2.htm/ Accessed August 16, 2007.
23. Dickey B, Normand ST, Drake R, et al. Limiting inpatient substance use treatment: what are the consequences? Medical Care Research and Review. 2003;60(3):332-346.
24. Duran F, Wilson S, Carroll D. Putting Administrative Data to Work: A Toolkit for State Agencies on Advancing Data Integration and Data Sharing Efforts to Support Sound Policy and Program Development. Farmington, CT: Child Health and Development Institute of Connecticut; 2005.
25. Cuellar AE, Snowden LM, Ewing T. Criminal records of persons served in the public mental health system. Psychiatric Services. 2007;58 (1):114-120.
26. Garnick DW, Hendricks AM, Comstock CB. Measuring quality of care: fundamental information from administrative datasets. International Journal for Quality in Health Care. 1994;6(2):163-177.
27. Glance LG, Dick AW, Osler T, et al. Accuracy of hospital report cards based on administrative data. Health Services Research. 2006;41 (4):1413-1437.
28. Goerge R. Using administrative data to perform policy-relevant research. 1997. Available at: www/jcpr.org/fall97/v14article3.html/ Accessed January 26, 2006.
29. Hotz VJ, Goerge R, Balzekas J, et al. Administrative Data for Policy-Relevant Research: Assessment of Current Utility and Recommendations for Development. A Report of the Advisory Panel on Research Uses of Administrative Data. Northwestern University/ University of Chicago: Joint Center for Poverty Research; 1998.
30. Smilanick P. Welfare attrition: cases leaving aid what we know from statewide administrative data. 2001. Available at: http://www.dss.cahwnet.gov/ research/res/pdf/CalWORKsAttrition10-01.pdf Accessed December 9, 2005.
31. UC Data. A Report by UC DATA to the Northwestern University/University of Chicago Joint Center for Poverty Research. An Inventory of Research Uses of Administrative Data in Social Services Programs in the United States: 1998. Data Archive & Technical Assistance, University of California, Berkeley, 1999.
32. Saunders RC, Heflinger CA. Access to and patterns of use of behavioral health services among children and adolescents in TennCare. Psychiatric Services. 2003;54(10):1364-1371.
33. Zingmond DS, Ettner SL, Cunningham WE. The impact of managed care on access to highly active antiretroviral therapy and on outcomes among Medicaid beneficiaries with AIDS. Medical Care Research and Review. 2007;64(1):66-82.
34. Young TK, Kliewer E, Blanchard J, et al. Monitoring disease burden and preventive behavior with data linkage: cervical cancer among aboriginal people in Manitoba, Canada. American Journal of Public Health. 2000;90:1466-1468.
35. Sorensen B, Shen H. Restraining orders in California: a look at statewide data. Violence Against Women. 2005;11(7):912-933.
36. Desai MM, Rosenheck RA, Craig TJ. Case-finding for depression among medical outpatients in the veterans health administration. Medical Care. 2006;44(2):175-181.
37. Desai RA, Stefanovics EA, Rosenheck RA. The role of psychiatric diagnosis in satisfaction with primary care: data from the department of veterans affairs. Medical Care. 2005;43(12):1208-1216.
38. Greenberg GA, Rosenheck RA. Continuity of care and clinical outcomes in a national health system. Psychiatric Services. 2005;56 (4):427-433.
39. McGinnis KA, Fine MJ, Sharma RK, S, et al. Understanding racial disparities in HIV using data from the veterans aging cohort 3-site study and VA administrative data. American Journal of Public Health. 2003;93(10):1728-1733.
40. Dickey B, Dembling B, Azeni H, et al. Externally caused deaths for adults with substance use and mental disorders. Journal of Behavioral Health Services & Research. 2004;31(1):75-85.
41. Drescher K, Rosen C, Burling T, et al. Causes of death among male veterans who received residential treatment for PTSD. Journal of Traumatic Stress. 2003;16(6):535-543.
42. Johnson JE, Finney JW, Moos RH. Predictors of 5-year mortality following inpatient/residential group treatment for substance use disorders. Addictive Behaviors. 2005;30(7):1300-1316.
43. Liskow BI, Powell BJ, Penick EC, et al. Mortality in male alcoholics after ten to fourteen years. Journal of Studies on Alcohol. 2000;61 (6):853-861.
44. Masudomi I, Isse K, Uchiyama M, et al. Self-help groups reduce mortality risk: a 5-year follow-up study of alcoholics in the Tokyo metropolitan area. Psychiatry and Clinical Neurosciences. 2004;58(5):551-557.
45. Moos RH, Brennan PL, Mertens JR. Mortality rates and predictors of mortality among late-middle-aged and older substance abuse patients. Alcoholism: Clinical and Experimental Research. 1994;18(1):187-195.
46. Schifano F, Oyefeso A, Corkery J, et al. Death rates from ecstasy (MDMA, MDA) and polydrug use in England and Wales, 1996-2002. Human Psychopharmacology: Clinical and Experimental. 2003;18(7):519-524.
47. Smyth B, Fan J, Hoffman V, et al. Years of potential life lost among heroin addicts 33 years after treatment. Preventive Medicine. 2007;44 (4):369-374.
48. Vlahov D, Wang C, Galai N, et al. Mortality risk among new onset injection drug users. Addiction. 2004;99(8):946-954.
49. Katon WJ, Roy-Byrne P, Russo J, et al. Cost-effectiveness and cost offset of a collaborative care intervention for primary care patients with panic disorder. Archives of General Psychiatry. 2002;59(12):1098-1104.
50. Finigan MW. Societal Outcomes and Cost Savings of Drug and Alcohol Treatment in the State of Oregon. Office of Alcohol and Drug Abuse Programs: Oregon Department of Human Resources; 1996.
51. Gerstein DR, Johnson RA, Harwood H, et al. Evaluating Recovery Services. The California Drug and Alcohol Treatment Assessment (CALDATA). Sacramento, CA: State of California Department of Drug and Alcohol Programs; 1994.
52. Longhi D, Brown M, Comtois R. ADATSA Treatment Outcomes: Employment and Cost Avoidance: An Eighteen Month Follow-Up Study of Indigent Persons Served by Washington State's Alcoholism and Drug Addiction Treatment and Support Act (Report Number 4.19). Washington State Department of Social and Health Services Planning, Research and Development. Office of Research and Data Analysis, November, 1994.
53. U. S. Department of Health and Human Services. Developing State Outcomes Monitoring Systems for Alcohol and Other Drug Abuse Treatment: Treatment Improvement Protocol (TIP) Series 14. DHHS Pub. No. SMA 95-3021. Rockville, MD: Substance Abuse and Mental Health Services Administration, Center for Substance Abuse Treatment; 1995.
54. Brown TG, Topp J, Ross D. Rationales, obstacles and strategies for local outcome monitoring systems in substance abuse treatment settings. Journal of Substance Abuse Treatment. 2003;24(1):31-42.
55. Camp JM, Krakow M, McCarty D, et al. Substance abuse treatment management information systems: balancing federal, state, and service provider needs. Journal of Mental Health Adminstration. 1992;19(1):5-20.
56. Ogborne AC, Braun K, Rush BR. Developing an integrated information system for specialized addiction treatment agencies. Journal of Behavioral Health Services & Research. 1998;25(1):100-107.
57. Teruya C, Hardy M, Hser YI, et al. Implementation of a statewide outcome monitoring system: lessons learned from substance abuse treatment provider staff. Qualitative Health Research. 2006;16(3):337-352.
58. Wisdom JP, Ford IH, Hayes RA, et al. Addiction treatment agencies' use of data: a qualitative assessment. Journal of Behavioral Health Services & Research. 2006;33(4):394-407.
59. Tiet QQ, Byrnes HF, Barnett P, et al. A practical system for monitoring the outcomes of substance use disorder patients. Journal of Substance Abuse Treatment. 2006;30(4):337-347.
60. Alterman AI, Langenbucher J, Morrison RL. State-level treatment outcome studies using administrative databases. Evaluation Review. 2001;25(2):162-183.
61. Bailey WP. Tools for monitoring the health care safety net: integrated state data systems. 2007. Available at: www.ahrq.gov/data/safetynet/bailey.htm Accessed February 6, 2007.
62. Garnick DW, Lee MT, Chalk M, et al. Establishing the feasibility of performance measures for alcohol and other drugs. Journal of Substance Abuse Treatment. 2002;23(4):375-385.
63. Evans E, Hser YI. Pilot-testing a statewide outcome monitoring system: overview of the California Treatment Outcome Project (CalTOP). Journal of Psychoactive Drugs, SARC Supplement. 2004;2:109-114.
64. TOPPS-II Interstate Cooperative Study. Drug treatment completion and post-discharge employment in the TOPPS-II Interstate Cooperative Study. Journal of Substance Abuse Treatment. 2003;25(1):9-18.
65. CSAT Performance Management Technical Assistance Coordinating Center. TAP 29: Integrating State Administrative Records to Manage Substance Abuse Treatment System Performance. Rockville, MD: U.S. Department of Health and Human Services: Substance Abuse and Mental Health Services Administration, Center for Substance Abuse Treatment; 2007.
66. Garnick DW, Hodgkin D, Horgan CM. Selecting data sources for substance abuse services research. Journal of Substance Abuse Treatment. 2002;22(1):11-22.
67. Garnick DW, Horgan CM, Chalk M. Performance measures for alcohol and other drug services. Alcohol Research & Health. 2006;29 (1):19-26.
68. Oklahoma Department of Mental Health and Substance Abuse Services. Developing an Outcomes Monitoring System Using Secondary Data to Evaluate Substance Abuse Treatment. Final Report. Rockville, MD: Center for Substance Abuse Treatment, Substance Abuse and Mental Health Services Administration; 2000.
69. Lundgren L, Chassler D, Ben-Ami L, et al. Factors associated with emergency room use among injection drug users of African- American, Hispanic and White-European background. American Journal on Addiction. 2005;14(3):268-280.
70. Rosen MI, McMahon TJ, Rosenheck R. Does assigning a representative payee reduce substance abuse? Drug and Alcohol Dependence. 2007;86(2-3):115-122.
71. Ray GT, Weisner CM, Mertens JR. Relationship between use of psychiatric services and five-year alcohol and drug treatment outcomes. Psychiatric Services. 2005;56(2):164-171.
72. Maynard C, Cox GB, Krupski A, et al. Utilization of services by persons discharged from involuntary chemical dependency treatment. Journal of Addictive Diseases. 2000;19(2):83-93.
73. Deck DD, McFarland BH, Titus JM, et al. Access to substance abuse treatment services under the Oregon health plan. JAMA. 2000;284 (16):2093-2099.
74. Deck D, Carlson MJ. Access to publicly funded methadone maintenance treatment in two western states. Journal of Behavioral Health Services & Research. 2004;31(2):164-177.
75. Deck D, Carlson MJ. Retention in publicly funded methadone maintenance treatment in two western states. Journal of Behavioral Health Services & Research. 2005;32(1):43-60.
76. Fuller BE, Rieckmann TR, McCarty DJ, et al. Elimination of methadone benefits in the Oregon health plan and its effects on patients. Psychiatric Services. 2006;57(5):686-691.
77. Deck DD, Wiitala WL, Laws KE. Medicaid coverage and access to publicly funded opiate treatment. Journal of Behavioral Health Services & Research. 2006;33(3):324-334.
78. Cook TD, Campbell D. Quasi-experimentation: Design & Analysis Issues for Field Settings. Chicago: RandMcNally; 1979.
79. Farabee D, Hser T, Anglin MD, et al. Recidivism among an early cohort of California's Proposition 36 offenders. Criminology & Public Policy. 2004;3(4):563-584.
80. Niv N, Hser YI. Drug treatment service utilization and outcomes for Hispanic and White methamphetamine abusers. Health Services Research. 2006;41(4):1242-1257.
81. Evans E, Spear S, Huang Y, et al. Do American Indians benefit from drug and alcohol treatment? treatment outcomes among American Indians in CalTOP. American Journal of Public Health. 2006;96(5):889-896.
82. Niv N, Wong EC, Hser YI. Asian Americans in community-based substance abuse treatment: service needs, utilization, and outcomes. Journal of Substance Abuse Treatment. 2007;33(3):313-319.
83. Hser YI, Evans E, Huang D. Treatment outcomes among women and men methamphetamine abusers in California. Journal of Substance Abuse Treatment. 2005;28:77-85.
84. Hser YI, Niv N. Pregnant women in women-only and mixed-gender substance abuse treatment programs: a comparison of client characteristics and program services. Journal of Behavioral Health Services & Research. 2006;33(4):431-442.
85. Niv N, Hser YI. Women-only and mixed-gender drug abuse treatment programs: service needs, utilization and outcomes. Drug and Alcohol Dependence. 2007;87(2-3):194-201.
86. Hser YI, Grella C, Evans E, et al. Utilization and outcomes of mental health services among patients in drug treatment. Journal of Addictive Diseases. 2006;25(1):73-85.
87. Grella CE, Hser YI, Huang Y. Mothers in substance abuse treatment: differences in characteristics based on involvement with child welfare services. Child Abuse & Neglect. 2006;30(1):55-73.
88. Green BL, Rockhill A, Furrer C. Does substance abuse treatment make a difference for child welfare case outcomes? A statewide longitudinal analysis. Children and Youth Services Review. 2006;29:460-473.
89. Claus RE, Orwin RG, Kissin W, et al. Does gender-specific substance abuse treatment for women promote continuity of care? Journal of Substance Abuse Treatment. 2007;32(1):27-39.
90. Wickizer T, Maynard C, Atherly A, et al. Completion rates of clients discharged from drug and alcohol treatment programs in Washington state. American Journal Public Health. 1994;84(2):215-221.
91. Mertens JR, Weisner CM, Ray GT. Readmission among chemical dependency patients in private, outpatient treatment: patterns, correlates and role in long-term outcome. Journal of Studies on Alcohol. 2005;66(6):842-847.
92. Metsch LR, Pereyra M, Miles CC, et al. Welfare and work outcomes after substance abuse treatment. Social Service Review. 2003;77 (2):237-254.
93. Panas L, Caspi Y, Fournier E, et al. Performance measures for outpatient substance abuse services: group versus individual counseling. Journal of Substance Abuse Treatment. 2003;25(4):271-278.
94. Luchansky B, He L, Krupski A, et al. Predicting readmission to substance abuse treatment using state information systems: the impact of client and treatment characteristics. Journal of Substance Abuse. 2000;12(3):255-270.
95. Maynard C, Cox GB, Hall J, et al. Substance use and five-year survival in Washington state mental hospitals. Administration and Policy in Mental Health. 2004;31(4):339-345.
96. Luchansky B, Nordlund D, Estee S, et al. Substance abuse treatment and criminal justice involvement for ssi recipients: results from Washington state. American Journal on Addictions. 2006;15(5):370-379.
97. Bureau of Justice Statistics. Use and Management of Criminal History Record Information: A Comprehensive Report, 2001 Update (Report No. NCJ 187670). Washington, D.C: U. S. Department of Justice, Office of Justice Programs; 2001.
98. Lu M, Ma CT. Consistency in performance evaluation reports and medical records. Journal of Mental Health Policy and Economics. 2003;5(4):141-152.
99. Kressin NR, Chang BH, Hendricks A, et al. Agreement between administrative data and patients' self-reports of race/ethnicity. American Journal of Public Health. 2003;93(10):1734-1739.
100. Luchansky B, Brown M, Longhi D, et al. Chemical dependency treatment and employment outcomes: results from the 'ADATSA' program in Washington state. Drug and Alcohol Dependence. 2000;60(2):151-159.
101. Luchansky B, He L, Longhi D, et al. Treatment readmissions and criminal recidivism in youth following participation in chemical dependency treatment. Journal of Addictive Diseases. 2006;25(1):87-96.
102. Luchansky B, Krupski A, Stark K. Treatment response by primary drug of abuse: does methamphetamine make a difference? Journal of Substance Abuse Treatment. 2007;32(1):89-96.
103. French MT, Salomé HJ, Carney M. Using the DATCAP and ASI to estimate the costs and benefits of residential addiction treatment in the state of Washington. Social Science & Medicine. 2002;55(12):2267-2282.
104. Harwood H, Fountain D, Livermore G. The Economic Costs of Alcohol and Drug Abuse in The United States, 1992. Rockville, MD: National Institute on Drug Abuse; 1998.
105. Holder HD. Cost benefits of substance abuse treatment: an overview of results from alcohol and drug abuse. Journal of Mental Health Policy and Economics. 1998;1:23-29.
106. McCollister KE, French MT. The relative contribution of outcome domains in the total economic benefit of addiction interventions: a review of first findings. Addiction. 1998;98:1647-1659.
107. Salome HJ, French MT, Scott C, et al. Investigating the economic costs and benefits of addiction treatment: econometric analysis of the Chicago target cities project. Evaluation and Programming Planning. 2003;26(3):325-338
108. Sindelar JL, Jofre-Bonet M, French MT, et al. Cost-effectiveness analysis of addiction treatment: paradoxes of multiple outcomes. Drug and Alcohol Dependence. 2004;73(1):41-50.
109. Wall R, Rehm J, Fischer B, et al. Social costs of untreated opioid dependence. Journal of Urban Health: Bulletin of the New York Academy of Medicine. 2000;77(4):688-722.
110. Vencill C, Sadjadi Z. Allocation of the California war costs: direct expenses, externalities, opportunity costs, and fiscal losses. The Justice Policy Journal. 2001;1(1):1-40.
111. Office of National Drug Control Policy. The Economic Costs of Drug Abuse in the United States, 1992-1998 (Publication No. NCJ190636.). Washington, DC: The Executive Office of the President; 2001.
112. French MT, Salome H, Krupski A, et al. Benefit-cost analysis of residential and outpatient addiction of treatment in the state of Washington. Evaluation Review. 2000;24(6):609-634.
113. Hunkeler E, Hung Y, Rice D, et al. Alcohol consumption patterns and health care costs in an HMO. Drug and Alcohol Dependence. 2001;64:181-190
114. Sturm R. The Costs of Covering Mental Health and Substance Abuse as Medical Care in Private Insurance Plans (RAND Health Publication No. CT-180.). Chicago, IL: RAND; 2001.
115. Sturm R. The effects of obesity, smoking and drinking on medical problems and costs. Health Affairs. 2002;21(2):245-253.
116. Palepu A, Tyndall MW, Leon H, et al. Hospital utilization and costs in a cohort of injection drug users. Canadian Medical Association Journal. 2001;165:415-420.
117. Daley M, Argeriou M, McCarty D, et al. The costs of crime and the benefits of substance abuse treatment for pregnant women. Journal of Substance Abuse Treatment. 2000;19(4):445-458.
118. Mark T, Woody G, Juday T, et al. The economic costs of heroin addiction. Drug and Alcohol Dependence. 2001;61:195-206.
119. Merrill J, Fox K. The Impact of Substance Abuse on Federal Spending. Cost-Benefit/Cost-Effectiveness Research of Drug Abuse Prevention: Implications for Programming and Policy. Rockville, MD: National Institute on Drug Abuse; 1998.
120. Gresenz C, Watkins K, Podus D. Supplemental security income (SSI); disability insurance (DI), and substance abusers. Community Mental Health Journal. 1998;34(4):337-350.
121. Cook P, Moore M. The economics of alcohol abuse and alcohol-control policies. Health Affairs. 2000;21(2):120-133.
122. Parthasarathy S, Weisner CM. Five-year trajectories of health care utilization and cost in a drug and alcohol treatment sample. Drug and Alcohol Dependence. 2005;80(2):231-240.
123. Polen MR, Freeborn DK, Lynch FL, et al. Medical cost-offset following treatment referral for alcohol and other drug use disorders in a group model HMO. Journal of Behavioral Health Services & Research. 2006;33(3):335-346.
124. Ettner SL, Huang D, Evans E, et al. Benefit-cost in the California treatment outcome project: does substance abuse treatment "pay for itself?". Health Services Research. 2006;41(1):192-213.
125. Wickizer TM, Krupski A, Stark KD, et al. The effect of substance abuse treatment on medicaid expenditures among general assistance welfare clients in Washington state. Milbank Quarterly. 2006;84(3):555-576.
126. Carey SM, Finigan M, Crumpton D, et al. California drug courts: outcomes, costs and promising practices: an overview of phase ii in a statewide study. Journal of Psychoactive Drugs, SARC Supplement. 2006;3:345-356.
127. Longshore D, Hawken A, Urada D, et al. SACPA Cost-Analysis Report. Submitted to the California Department of Alcohol and Drug Programs. Los Angeles, CA: UCLA Integrated Substance Abuse Programs; 2007.
128. Caspi Y, Turner WM, Panas L, et al. The severity index: an indicator of alcohol and drug dependence using administrative data. Alcoholism Treatment Quarterly. 2001;19(4):49-64.
129. Deck DD, McFarland BH. Medicaid managed care and substance abuse treatment. Psychiatric Services. 2002;53(7):802.
130. Garnick DW, Horgan CM, Lee MT, et al. Are Washington circle performance measures associated with decreased criminal activity following treatment? Journal of Substance Abuse Treatment. 2007;33(4):341-352
131. McCamant LE, Zani BG, McFarland BH, et al. Prospective validation of substance abuse severity measures from administrative data. Drug and Alcohol Dependence. 2007;86(1):37-45.
132. McFarland BH, Deck DD, McCamant LE, et al. Outcomes for medicaid clients with substance abuse problems before and after managed care. Journal of Behavioral Health Services & Research. 2005;32(4):351-367.
133. Bray J, Vandivort R, Dilonardo J, et al. Healthcare utilization of individuals with opiate use disorders: an analysis of integrated Medicaid and state mental health/substance abuse agency data. Journal of Behavioral Health Services & Research. 2008;35(1):91-106.
134. Hser YI, Evans E, Teruya C, et al. The California Treatment Outcome Project (CalTOP) Final Report. Submitted to the California Department of Alcohol and Drug Programs. Los Angeles, CA: UCLA Integrated Substance Abuse Programs; 2003.
135. Walker R, Mateyoke-Scrivner A, Cole J, et al. Kentucky treatment outcome study statewide follow-up findings fiscal year 2005. 2007. Available at http://cdar.uky.edu//ktos/KTOSFollow.html Accessed January 25, 2008.
136. Logan TK, Hoyt W, Leukefeld C. Kentucky drug court outcome evaluation: behavior, costs, & avoided costs to society. 2001. Available at http://courts.ky.gov/stateprograms/drugcourt/articles.htm Accessed January 25, 2008.
137. Justice AC, Erdos J, Brandt C, et al. The veterans affairs healthcare system a unique laboratory for observational and interventional research. Medical Care. 2006;44(8):S7-S12.
138. Walkup JT, Yanos PT. Psychological research with administrative data sets: an underutilized strategy for mental health services research. Professional Psychology Research and Practice. 2005;36(5):551-557.
139. Robins LN. Explaining when arrests end for serious juvenile offenders: comments on the Sampson and Laub study. The Annals of the American Academy of Political and Social Science. 2005;602:57-72.
140. Divorski S, Scheirer MA. Improving data quality for performance measures: results from a GAO study of verification and validation. Evaluation and Program Planning. 2001;24:83-94.
141. Wismer K. Use of registers in social statistics in Denmark. Expert Group Meeting on Setting the Scope of Social Statistics. New York: United Nations Statistics Division in collaboration with the Siena Group on Social Statistics, 2003.
142. Berman F, Brady H. Cyberinfrastructure and the social sciences: final report of NSF SBE-CISE workshop. 2005. Available at: http://vis.sdsc.edu/sbe/ reports/SBE-CISE-FINAL.pdf Accessed August 16, 2007.
143. McLellan AT, Chalk M, Bartlett J. Outcomes, performance, and quality: what's the difference? Journal of Substance Abuse Treatment. 2007;32(4):331-340.