Can we predict retention in longitudinal studies of substance use? Findings from the Australian Treatment Outcome Study

Addictive Behaviors

Volumn 51, Issue , 2015, Pages 38-43

  Marel, Christina ^a,b   Mills, Katherine ^a,b   Darke, Shane ^a   Ross, Joanne ^a,b   Burns, Lucy ^a   Teesson, Maree ^a,b  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b NHMRC Centre of Research Centre in Mental Health and Substance Use   (Australia)

Author keywords

ATOS; Attrition; Follow up difficulty; Heroin dependence; Longitudinal cohort study; Retention; Substance use; Treatment outcome

Indexed keywords

ALCOHOL; AMPHETAMINE DERIVATIVE; BENZODIAZEPINE DERIVATIVE; CANNABIS; COCAINE; DIAMORPHINE; OPIATE;

ADULT; ARTICLE; AUSTRALIAN; CONTROLLED STUDY; CRIME; DEMOGRAPHY; DRUG USE; EDUCATIONAL STATUS; FEMALE; FOLLOW UP; HEROIN DEPENDENCE; HUMAN; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MALE; MEDICAL HISTORY; MENTAL DISEASE; OFFENDER; PATIENT ATTITUDE; SCHOOL; SOCIAL PSYCHOLOGY; STRUCTURED INTERVIEW; SUBSTANCE USE; TREATMENT OUTCOME; ADOLESCENT; AUSTRALIA; COHORT ANALYSIS; MIDDLE AGED; STATISTICS AND NUMERICAL DATA; YOUNG ADULT;

ADOLESCENT; ADULT; AUSTRALIA; COHORT STUDIES; FEMALE; FOLLOW-UP STUDIES; HEROIN DEPENDENCE; HUMANS; LONGITUDINAL STUDIES; MALE; MIDDLE AGED; PATIENT ACCEPTANCE OF HEALTH CARE; TREATMENT OUTCOME; YOUNG ADULT;

EID: 84937712570     PISSN: 03064603     EISSN: 18736327     Source Type: Journal    
DOI: 10.1016/j.addbeh.2015.07.002     Document Type: Article

References (36)

1. Cadarette S.M., Dickson L., Gignac M.A., Beaton D.E., Jaglal S.B., Hawker G.A. Predictors of locating women six to eight years after contact: Internet resources at recruitment may help to improve response rates in longitudinal research. BMC Medical Research Methodology 2007, 7(1):22.
2. Claus R.E., Kindleberger L.R., Dugan M.C. Predictors of attrition in a longitudinal study of substance abusers. Journal of Psychoactive Drugs 2002, 34(1):69-74.
3. Coen A.S., Patrick D.C., Shern D.L. Minimizing attrition in longitudinal studies of special populations: An integrated management approach. Evaluation and Program Planning 1996, 19(4):309-319.
4. Cottler L.B., Compton W.M., Ben-Abdallah A., Horne M., Claverie D. Achieving a 96.6 percent follow-up rate in a longitudinal study of drug abusers. Drug and Alcohol Dependence 1996, 41(3):209-217.
5. Cottler L.B., Zipp J.F., Robins L.N., Spitznagel E.L. Difficult-to-recruit respondents and their effect on prevalence estimates in an epidemiologic survey. American Journal of Epidemiology 1987, 125(2):329-339.
6. Darke S., Hall W., Wodak A., Heather N., Ward J. Development and validation of a multidimensional instrument for assessing outcome of treatment among opiate users: The Opiate Treatment Index. British Journal of Addiction 1992, 87(5):733-742.
7. Darke S., Topp L., Kaye S., Hall W. Heroin use in New South Wales, Australia, 1996-2000: 5 year monitoring of trends in price, purity, availability and use from the Illicit Drug Reporting System (IDRS). Addiction 2002, 97:179-186.
8. Desmond D.P., Maddux J.F., Johnson T.H., Confer B.A. Obtaining follow-up interviews for treatment evaluation. Journal of Substance Abuse Treatment 1995, 12(2):95-102.
9. Digiusto E., Panjari M., Gibson A., Rea F. Follow-up difficulty: Correlates and relationship with outcome in heroin dependence treatment in the NEPOD study. Addictive Behaviors 2006, 31(7):1201-1210.
10. Eaton W.W., Anthony J.C., Tepper S., Dryman A. Psychopathology and attrition in the epidemiologic catchment area surveys. American Journal of Epidemiology 1992, 135(9):1051-1059.
11. Fenig S., Levav I., Kohn R., Yelin N. Telephone vs face-to-face interviewing in a community psychiatric survey. American Journal of Public Health 1993, 83(6):896-898.
12. Gilmore D., Kuperminc G.P. Testing a model of participant retention in longitudinal substance abuse research. American Journal of Evaluation 2014, 35(4):467-484.
13. Gossop M., Marsden J., Stewart D., Rolfe A. Patterns of improvement after methadone treatment: 1 year follow-up results from the National Treatment Outcome Research Study (NTORS). Drug and Alcohol Dependence 2000, 60:275-286.
14. Gwadz M., Rotheram-Borus M.J. Tracking high-risk adolescents longitudinally. AIDS Education and Prevention 1992, 69-82.
15. Hobden K., Curtis Forney J., Wyszacki Durham K., Toro P. Limiting attrition in longitudinal research on homeless adolescents: What works best?. Journal of Community Psychology 2011, 39(4):443-451.
16. Hubbard R.L., Craddock S.G., Flynn P.M., Anderson J., Etheridge R.M. Overview of 1-year follow-up outcomes in the Drug Abuse Treatment Outcome Study (DATOS). Psychology of Addictive Behaviors 1997, 11:261-278.
17. Jackson C.T., Covell N.H., Frisman L.K., Essock S.M. Validity of self-reported drug use among people with co-occurring mental health and substance use disorders. Journal of Dual Diagnosis 2005, 1(1):49-63.
18. Kristman V.L., Manno M., Côté P. Methods to account for attrition in longitudinal data: Do they work? A simulation study. European Journal of Epidemiology 2005, 20(8):657-662.
19. Loranger A.W., Sartorius N., Andreoli A., Berger P., Buchheim P., Channabasavanna S., et al. The international personality disorder examination: The World Health Organization/Alcohol, Drug Abuse, and Mental Health Administration international pilot study of personality disorders. Archives of General Psychiatry 1994, 51(3):215.
20. Napper L.E., Fisher D.G., Johnson M.E., Wood M.M. The reliability and validity of drug users' self reports of amphetamine use among primarily heroin and cocaine users. Addictive Behaviors 2010, 35(4):350-354.
21. North C.S., Black M., Pollio D.E. Predictors of successful tracking over time in a homeless population. Social Work Research 2012, 36(2):153-159.
22. Patton R., Slesnick N., Bantchevska D., Guo X., Kim Y. Predictors of follow-up completion among runaway substance-abusing adolescents and their primary caretakers. Community Mental Health Journal 2011, 47(2):220-226.
23. Psaty B.M., Cheadle A., Koepsell T.D., Diehr P., Wickizer T., Curry S., et al. Race-and ethnicity-specific characteristics of participants lost to follow-up in a telephone cohort. American Journal of Epidemiology 1994, 140(2):161-171.
24. Robins L.N. Deviant children grown up: A sociological and psychiatric study of sociopathic personality 1966, Williams & Wilkins, Baltimore.
25. Robins L.N., Helzer J.E., Croughan J., Ratcliff K.S. National Institute of Mental Health diagnostic interview schedule: Its history, characteristics, and validity. Archives of General Psychiatry 1981, 38(4):381-389.
26. Ross J., Teesson M., Darke S., Lynskey M., Ali R., Ritter A., et al. The characteristics of heroin users entering treatment: Findings from the Australian Treatment Outcome Study (ATOS). Drug and Alcohol Review 2005, 24(5):411-418.
27. Ryan R.M., Plant R.W., O'Malley S. Initial motivations for alcohol treatment: Relations with patient characteristics, treatment involvement, and dropout. Addictive Behaviors 1995, 20(3):279-297.
28. Scott C.K. A replicable model for achieving over 90% follow-up rates in longitudinal studies of substance abusers. Drug and Alcohol Dependence 2004, 74(1):21-36.
29. Scott C.K., Sonis J., Creamer M., Dennis M.L. Maximizing follow-up in longitudinal studies of traumatized populations. Journal of Traumatic Stress 2006, 19(6):757-769.
30. Teesson M., Mills K., Ross J., Darke S., Williamson A., Havard A. The impact of treatment on 3years' outcome for heroin dependence: Findings from the Australian Treatment Outcome Study (ATOS). Addiction 2008, 103(1):80-88.
31. Temple M.T., Leino E.V. Long-term outcomes of drinking: A 20-year longitudinal study of men. British Journal of Addiction 1989, 84(8):889-899.
32. Twisk J.W. Applied longitudinal data analysis for epidemiology: A practical guide 2013, Cambridge University Press.
33. Twisk J., de Vente W. Attrition in longitudinal studies: How to deal with missing data. Journal of Clinical Epidemiology 2002, 55(4):329-337.
34. Twitchell G.R., Hertzog C.A., Klein J.L., Schuckit M.A. The anatomy of a follow-up. British Journal of Addiction 1992, 87(9):1327-1333.
35. Ware J.E., Kosinski M., Keller S.D. A 12-item short-form health survey: Construction of scales and preliminary tests of reliability and validity. Medical Care 1996, 34(3):220-233.
36. WHO Composite international diagnostic interview, version 2.1. G 1996, World Health Organisation.