Predictors of outcome from computer-based treatment for substance use disorders: Results from a randomized clinical trial

Drug and Alcohol Dependence

Volumn 157, Issue , 2015, Pages 174-178

  Kim, Sunny Jung ^a   Marsch, Lisa A ^a   Guarino, Honoria ^b   Acosta, Michelle C ^b   Aponte Melendez, Yesenia ^b  

^a DARTMOUTH MEDICAL SCHOOL   (United States)

^b NATIONAL DEVELOPMENT AND RESEARCH INSTITUTES   (United States)

Author keywords

Behavioral therapy; Opioid dependence; Participant characteristics; Randomized controlled trial; Technology delivered intervention

Indexed keywords

METHADONE; NARCOTIC ANALGESIC AGENT;

ABSTINENCE; ADULT; AGE; AMBIVALENCE; ANXIETY; ARTICLE; COMPUTER ASSISTED THERAPY; CONTROLLED STUDY; CORRELATIONAL STUDY; EMPLOYMENT STATUS; FEMALE; HUMAN; MAINTENANCE THERAPY; MAJOR CLINICAL STUDY; MALE; MARRIAGE; OPIATE ADDICTION; OUTCOME ASSESSMENT; PATIENT COMPLIANCE; PATIENT DROPOUTS; PREDICTION; PRIORITY JOURNAL; RANDOMIZED CONTROLLED TRIAL; SEX DIFFERENCE; SUBSTANCE ABUSE; TREATMENT DURATION; TREATMENT OUTCOME; URINALYSIS; ATTITUDE TO HEALTH; EMPLOYMENT; MIDDLE AGED; OPIATE SUBSTITUTION TREATMENT; OPIOID-RELATED DISORDERS; PROCEDURES; PSYCHOLOGY; SOFTWARE; STATISTICS AND NUMERICAL DATA;

ADULT; ANALGESICS, OPIOID; ATTITUDE TO HEALTH; EMPLOYMENT; FEMALE; HUMANS; MALE; METHADONE; MIDDLE AGED; OPIATE SUBSTITUTION TREATMENT; OPIOID-RELATED DISORDERS; PATIENT COMPLIANCE; SOFTWARE; THERAPY, COMPUTER-ASSISTED; TREATMENT OUTCOME;

EID: 84945585457     PISSN: 03768716     EISSN: 18790046     Source Type: Journal    
DOI: 10.1016/j.drugalcdep.2015.09.019     Document Type: Article

References (29)

1. Acosta M.C., Marsch L.A., Xie H., Guarino H., Aponte-Melendez Y. A web-based behavior therapy program influences the association between cognitive functioning and retention and abstinence in clients receiving methadone maintenance treatment. J. Dual Diagn. 2012, 8:283-293. 10.1080/15504263.2012.723317.
2. Beck A.T., Steer R.A., Brown G.K. Manual for Beck Depression Inventory II (BDI-II) 1996, Psychology Corporation, San Antonio.
3. Beck A.T., Steer R.A. Manual for the Beck Anxiety Inventory 1990, Psychological Corporation, San Antonio.
4. Bickel W.K., Marsch L.A., Buchhalter A.R., Badger G.J. Computerized behavior therapy for opioid-dependent outpatients: a randomized controlled trial. Exp. Clin. Psychopharmacol. 2008, 16:132-143. 10.1037/1064-1297.16.2.132.
5. Carroll K.M., Kiluk B.D., Nich C., Babuscio T.A., Brewer J.A., Potenza M.N., Ball S.A., Martino S., Rounsaville B.J., Lejuez C.W. Cognitive function and treatment response in a randomized clinical trial of computer-based training in cognitive-behavioral therapy. Subst. Use Misuse 2011, 46:23-34. 10.3109/10826084.2011.521069.
6. Chen Y.F., Madan J., Welton N., Yahaya I., Aveyard P., Bauld L., Wang D., Fry-Smith A., Munafo M.R. Effectiveness and cost-effectiveness of computer and other electronic aids for smoking cessation: a systematic review and network meta-analysis. Health Technol. Assess. 2012, 16:1-205. 10.3310/hta16380.
7. Choo E.K., Ranney M.L., Wong Z., Mello M.J. Attitudes toward technology-based health information among adult emergency department patients with drug or alcohol misuse. J. Subst. Abuse Treat. 2012, 43:397-401. 10.1016/j.jsat.2012.09.005.
8. Ciraulo D.A., Piechniczek-Buczek J., Iscan E.N. Outcome predictors in substance use disorders. Psychiatr. Clin. N. Am. 2003, 26:381-409. 10.1016/s0193-953x(02)00106-5.
9. Cooney N.L., Kadden R.M., Litt M.D., Getter H. Matching alcoholics to coping skills or interactional therapies: two-year follow-up results. J. Consult. Clin. Psychol. 1991, 59:598-601.
10. Cox D.R., Oakes D. Analysis of Survival Data 1984, Chapman & Hall, London.
11. Gustafson D.H., Boyle M.G., Shaw B.R., Isham A., McTavish F., Richards S., Schubert C., Levy M., Johnson K. An e-health solution for people with alcohol problems. Alcohol Res. Health 2011, 33:327-337.
12. Kiluk B.D., Nich C., Babuscio T., Carroll K.M. Quality versus quantity: acquisition of coping skills following computerized cognitive-behavioral therapy for substance use disorders. Addiction 2010, 105:2120-2127. 10.1111/j.1360-0443.2010.03076.x.
13. Marsch L.A., Ann M., Stephens C., Mudric T., Strain E.C., Bigelow G.E., Johnson R.E. Predictors of outcome in LAAM, buprenorphine, and methadone treatment for opioid dependence. Exp. Clin. Psychopharmacol. 2005, 13:293-302. 10.1037/1064-1297.13.4.293.
14. Marsch L.A., Bickel W.K. Risk behavior: gender differences during buprenorphine treatment. Paper Presented at the Symposium Conducted at the 109th Annual Convention of American Psychological Association 2001.
15. Marsch L.A., Dallery J. Advances in the psychosocial treatment of addiction: the role of technology in the delivery of evidence-based psychosocial treatment. Psychiatr. Clin. N. Am. 2012, 35:481-493. 10.1016/j.psc.2012.03.009.
16. Marsch L.A., Grabinski M.J., Bickel W.K., Desrosiers A., Guarino H., Muehlbach B., Solhkhah R., Taufique S., Acosta M. Computer-assisted HIV prevention for youth with substance use disorders. Subst. Use Misuse 2011, 46:46-56. 10.3109/10826084.2011.521088.
17. Marsch L.A., Guarino H., Acosta M., Aponte-Melendez Y., Cleland C., Grabinski M., Brady R., Edwards J. Web-based behavioral treatment for substance use disorders as a partial replacement of standard methadone maintenance treatment. J. Subst. Abuse Treat. 2014, 46:43-51. 10.1016/j.jsat.2013.08.012.
18. McLellan A.T., Luborsky L., Woody G.E., O'Brien C.P. An improved diagnostic evaluation instrument for substance abuse patients: the Addiction Severity Index. J. Nerv. Ment. Dis. 1980, 168:26-33.
19. Miller W.R., Tonigan J.S. Assessing drinkers' motivation for change: the Stages of Change Readiness and Treatment Eagerness Scale (SOCRATES). Psychol. Addict. Behav. 1996, 10:81-89. 10.1037/0893-164X.10.2.81.
20. Moore B.A., Fazzino T., Garnet B., Cutter C.J., Barry D.T. Computer-based interventions for drug use disorders: a systematic review. J. Subst. Abuse Treat. 2011, 40:215-223. 10.1016/j.jsat.2010.11.002.
21. Najt P., Fusar-Poli P., Brambilla P. Co-occurring mental and substance abuse disorders: a review on the potential predictors and clinical outcomes. Psychiatry Res. 2011, 186:159-164. 10.1016/j.psychres.2010.07.042.
22. Norman C.D., Skinner H.A. eHealth Literacy: essential skills for consumer health in a networked world. J. Med. Internet Res. 2006, 8:e9. 10.2196/jmir.8.2.e9.
23. Ondersma S.J., Chase S.K., Svikis D.S., Schuster C.R. Computer-based brief motivational intervention for perinatal drug use. J. Subst. Abuse Treat. 2005, 28:305-312. 10.1016/j.jsat.2005.02.004.
24. Ondersma S.J., Svikis D.S., Schuster C.R. Computer-based brief intervention a randomized trial with postpartum women. Am. J. Prev. Med. 2007, 32:231-238. 10.1016/j.amepre.2006.11.003.
25. Quinn G.P., Keough M.J. Experimental Design and Data Analysis for Biologists 2002, Cambridge University Press, Cambridge. 10.1017/CBO9780511806384.
26. Riper H., Spek V., Boon B., Conijn B., Kramer J., Martin-Abello K., Smit F. Effectiveness of E-self-help interventions for curbing adult problem drinking: a meta-analysis. J. Med. Internet Res. 2011, 13:e42. 10.2196/jmir.1691.
27. Roman P.M., Johnson J.A. Adoption and implementation of new technologies in substance abuse treatment. J. Subst. Abuse Treat. 2002, 22:211-218.
28. Weekes J.C., Cotton S., McGrady M.E. Predictors of substance use among black urban adolescents with asthma: a longitudinal assessment. J. Natl. Med. Assoc. 2011, 103:392-398.
29. White A., Kavanagh D., Stallman H., Klein B., Kay-Lambkin F., Proudfoot J., Drennan J., Connor J., Baker A., Hines E., Young R. Online alcohol interventions: a systematic review. J. Med. Internet Res. 2010, 12:e62. 10.2196/jmir.1479.