Skip to main content
Log in

Predictors of Adherence and Outcome in Internet-Based Cognitive Behavior Therapy Delivered in a Telephone Counseling Setting

  • Original Article
  • Published:
Cognitive Therapy and Research Aims and scope Submit manuscript

Abstract

This study investigated predictors of adherence and outcome in a sample of callers to a national crisis telephone counseling service who were randomized to receive a 6-week, online, self-administered psychoeducation and cognitive behavioral therapy (CBT) intervention. Age, sex, relationship status, employment status, level of education, baseline depression symptom severity, and motivation to undertake the intervention were examined as predictors of adherence to the intervention in participants assigned to receive the online intervention (n = 83). Predictors of depression outcome were assessed using mixed models repeated measures ANOVA, comparing the two web-CBT intervention groups to the tracking and control groups (n = 155). Lower baseline depression severity was significantly associated with greater adherence to the intervention. A significant interaction was found between measurement occasion and motivation to undertake the intervention. At 6 month follow-up, participants with low and moderate levels of motivation had lower depressive symptoms than those with high levels of motivation. At 12 month follow-up, those with moderate levels of motivation had lower depressive symptoms than those with high motivation. The findings suggest that lower pre-intervention depression symptoms may positively influence adherence to online treatment for depression, while low and moderate levels of motivation appear to be optimal for treatment outcome. The factors that relate to adherence and outcome need to be understood to prevent dropout and maximize treatment effectiveness in online interventions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  • Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211. Retrieved from http://www.journals.elsevier.com/organizational-behavior-and-human-decision-processes/.

  • Allart-van Dam, E., Hosman, C., & Keijsers, G. (2004). A new instrument to assess participant motivation for involvement in preventive interventions. Journal of Clinical Psychology, 60(6), 555–565. doi:10.1002/jclp.10236.

    Article  PubMed  Google Scholar 

  • Andersson, G., Bergstrom, J., Holländare, F., Carlbring, P., Kaldo, V., & Ekselius, L. (2005). Internet-based self-help for depression: Randomised controlled trial. British Journal of Psychiatry, 187, 456–461. doi:10.1192/bjp.187.5.456.

    Article  PubMed  Google Scholar 

  • Andersson, G., Bergström, J., Hollandare, F., Ekselius, L., & Carlbring, P. (2004). Delivering cognitive behavioural therapy for mils to moderate depression via the Internet: Predicting outcome at 6 month follow-up. Verhaltenstherapie, 14, 185–189. doi:10.1159/000080914.

    Article  Google Scholar 

  • Andersson, G., & Cuijpers, P. (2009). Internet-based and other computerized psychological treatments for adult depression: A meta-analysis. Cognitive Behaviour Therapy, 38(4), 196–205. doi:10.1080/16506070903318960.

    Article  PubMed  Google Scholar 

  • Andrews, G., Cuijpers, P., Craske, M., McEvoy, P., & Titov, N. (2010). Computer therapy for the anxiety and depressive disorders is effective, acceptable and practical health care: A meta-analysis. PLoS One, 5(10), e13196. doi:10.1371/journal.pone.0013196.

    Article  PubMed Central  PubMed  Google Scholar 

  • Arnow, B., Blasey, C., Manber, R., Constantino, M., Markowitz, J., Klein, D., et al. (2007). Dropouts versus completers among chronically depressed outpatients. Journal of Affective Disorders, 97(1–3), 197–202. doi:10.1016/j.jad.2006.06.017.

    Article  PubMed  Google Scholar 

  • Batterham, P., Neil, A., Bennett, K., Griffiths, K., & Christensen, H. (2008). Predictors of adherence among community users of a cognitive behavior therapy website. Patient Preference and Adherence, 2, 97–105. doi:10.2147/PPA.S.

    PubMed Central  PubMed  Google Scholar 

  • Button, K. S., Wiles, N. J., Lewis, G., Peters, T. J., & Kessler, D. (2012). Factors associated with differential response to online cognitive behavioural therapy. Social Psychiatry and Psychiatric Epidemiology, 47(5), 827–833. doi:10.1007/s00127-011-0389-1.

    Article  PubMed  Google Scholar 

  • Cavanagh, K., Shapiro, D., Van Den Berg, S., Swain, S., Barkham, M., & Proudfoot, J. (2009). The acceptability of computer-aided cognitive behavioural therapy: A pragmatic study. Cognitive Behaviour Therapy, 38(4), 235–246. doi:10.1080/16506070802561256.

    Article  PubMed  Google Scholar 

  • Clarke, G., Eubanks, D., Reid, E., Kelleher, C., O’Connor, E., DeBar, L., et al. (2005). Overcoming depression on the Internet (ODIN) (2): A randomized trial of a self-help depression skills program with reminders. Journal of Medical Internet Research, 7(2), e16. doi:10.2196/jmir.7.2.e16.

    Article  PubMed Central  PubMed  Google Scholar 

  • Clarke, G., Reid, E., Eubanks, D., O’Connor, E., DeBar, L., Kelleher, C., et al. (2002). Overcoming depression on the Internet (ODIN): A randomized controlled trial of an Internet depression skills intervention program. Journal of Medical Internet Research, 4(3), e14. doi:10.2196/jmir.4.3.e14.

    Article  PubMed Central  PubMed  Google Scholar 

  • de Graaf, L., Hollon, S., & Huibers, M. (2010). Predicting outcome in computerized cognitive behavioral therapy for depression in primary care: A randomized trial. Journal of Consulting and Clinical Psychology, 78(2), 184–189. doi:10.1037/a0018324.

    Article  PubMed  Google Scholar 

  • de Graaf, L., Huibers, M., Riper, H., Gerhards, S., & Arntz, A. (2009). Use and acceptability of unsupported online computerized cognitive behavioral therapy for depression and associations with clinical outcome. Journal of Affective Disorders, 116(3), 227–231. doi:10.1016/j.jad.2008.12.009.

    Article  PubMed  Google Scholar 

  • de Haan, E., van Oppen, P., van Balkom, A., Spinhoven, P., Hoogduin, K., & Van Dyck, R. (1997). Prediction of outcome and early vs. late improvement in OCD patients treated with cognitive behaviour therapy and pharmacotherapy. Acta Psychiatrica Scandinavica, 96(5), 354–361. doi:10.1111/j.1600-0447.1997.tb09929.x.

    Article  PubMed  Google Scholar 

  • Farrer, L., Christensen, H., Griffiths, K. M., & Mackinnon, A. (2011). Internet-based CBT for depression with and without telephone tracking in a national helpline: Randomised controlled trial. PLoS One, 6(11), e28099. doi:10.1371/journal.pone.0028099.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Griffiths, K., Farrer, L., & Christensen, H. (2010). The efficacy of internet interventions for depression and anxiety disorders: A review of randomised controlled trials. Medical Journal of Australia, 192(11 Suppl), S4–11. doi:http://www.mja.com.au/public/issues/192_11_070610/gri10844_fm.html.

    PubMed  Google Scholar 

  • Hamer, R., & Simpson, P. (2009). Last observation carried forward versus mixed models in the analysis of psychiatric clinical trials. American Journal of Psychiatry, 166, 639–641. doi:10.1176/appi.ajp.2009.09040458.

    Article  PubMed  Google Scholar 

  • Hillis, G., Alexander, D., & Eagles, J. (1993). Premature termination of psychiatric contact. International Journal of Social Psychiatry, 39(2), 100–107. doi:10.1177/002076409303900203.

    Article  CAS  PubMed  Google Scholar 

  • Hox, J. (2010). Multilevel analysis: Techniques and applications (2nd ed.). New York: Routledge.

    Google Scholar 

  • Husaini, B., Neff, J., Harrington, J., Hughes, M., & Stone, R. (1980). Depression in rural communities: Validating the CES-D scale. Journal of Community Psychology, 8, 20–27. doi:10.1002/1520-6629(198001.

    Article  Google Scholar 

  • Jarrett, R., Eaves, G., Grannemann, B., & Rush, A. (1991). Clinical, cognitive, and demographic predictors of response to cognitive therapy for depression: A preliminary report. Psychiatry Research, 37(3), 245–260. doi:10.1016/0165-1781(91)90061-S.

    Article  CAS  PubMed  Google Scholar 

  • Keijsers, G., Hoogduin, C., & Schaap, C. (1994). Predictors of treatment outcome in the behavioural treatment of obsessive–compulsive disorder. British Journal of Psychiatry, 165(6), 781–786. doi:10.1192/bjp.165.6.781.

    Article  CAS  PubMed  Google Scholar 

  • Keithly, L., Samples, S., & Strupp, H. (1980). Patient motivation as a predictor of process and outcome in psychotherapy. Psychotherapy and Psychosomatics, 33(1–2), 87–97. doi:10.1159/000287417.

    Article  CAS  PubMed  Google Scholar 

  • Kenardy, J., McCafferty, K., & Rosa, V. (2003). Internet-delivered indicated prevention for anxiety disorders: A randomized controlled trial. Behavioural and Cognitive Psychotherapy, 31, 279–289. doi:10.1017/S1352465803003047.

    Article  Google Scholar 

  • Kessler, R., Andrews, G., Colpe, L., Hiripi, E., Mroczek, D., Normand, S., et al. (2002). Short screening scales to monitor population prevalences and trends in nonspecific psychological distress. Psychological Medicine, 32, 959–976. doi:10.1017/S0033291702006074.

    Article  CAS  PubMed  Google Scholar 

  • Knight, R., Williams, S., McGee, R., & Olaman, S. (1997). Psychometric properties of the Center for Epidemiologic Studies Depression Scale (CES-D) in a sample of women in middle life. Behavior Research and Therapy, 35(4), 373–380. doi:10.1016/S0005-7967(96)00107-6.

    Article  CAS  Google Scholar 

  • Lange, A., Rietdijk, D., Hudcovicova, M., van de Ven, J.-P., Schrieken, B., & Emmelkamp, P. (2003). Interapy: A controlled randomized trial of the standardized treatment of posttraumatic stress through the Internet. Journal of Consulting and Clinical Psychology, 71(5), 901–909. doi:10.1037/0022-006X.71.5.901.

    Article  PubMed  Google Scholar 

  • Last, C., Thase, M., Hersen, M., Bellack, A., & Himmelhoch, J. (1985). Patterns of attrition for psychosocial and pharmacologic treatments of depression. Journal of Clinical Psychiatry, 46(9), 361–366. Retrieved from https://www.psychiatrist.com/default2.asp?tab=2.

    Google Scholar 

  • Oei, T., & Kazmierczak, T. (1997). Factors associated with dropout in a group cognitive behaviour therapy for mood disorders. Behavior Research and Therapy, 35(11), 1025–1030. doi:10.1016/S0005-7967(97)00060-0.

    Article  CAS  Google Scholar 

  • Pekarik, G. (1985). Coping with dropouts. Professional Psychology: Research and Practice, 16(1), 114–123. doi:10.1037/0735-7028.16.1.114.

    Article  Google Scholar 

  • Pekarik, G. (1986). The use of termination status and treatment duration patterns as an indicator of clinical improvement. Evaluation and Program Planning, 9(1), 25–30. doi:10.1016/0149-7189(86)90004-2.

    Article  CAS  PubMed  Google Scholar 

  • Radloff, L. (1977). The CES-D scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1, 385–401. doi:10.1177/014662167700100306.

    Article  Google Scholar 

  • Ritterband, L., Thorndike, F., Cox, D., Kovatchev, B., & Gonder-Frederick, L. (2009). A behavior change model for internet interventions. Annals of Behavioral Medicine, 38(1), 18–27. doi:10.1007/s12160-009-9133-4.

    Article  PubMed Central  PubMed  Google Scholar 

  • Roberts, R. (1980). Reliability of the CES-D Scale in different ethnic contexts. Psychiatry Research, 2, 125–134. doi:10.1016/0165-1781(80)90069-4.

    Article  CAS  PubMed  Google Scholar 

  • Roberts, R., & Vernon, S. (1983). The Center for Epidemiologic Studies Depression Scale: It’s use in a community sample. American Journal of Psychiatry, 140, 41–46. Retrieved from http://ajp.psychiatryonline.org/journal.aspx?journalid=13.

  • Ross, C., & Mirowsky, J. (1984). Components of depressed mood in married men and women: The Center for Epidemiologic Studies Depression Scale. American Journal of Epidemiology, 119(6), 997–1004. Retrieved from http://aje.oxfordjournals.org/.

    Google Scholar 

  • Sotsky, S., Glass, D., Shea, M., Pilkonis, P., Collins, J., Elkin, I., Watkins, J., Imber, S., Leber, W., Moyer, J., & Oliveri, M. (1991). Patient predictors of response to psychotherapy and pharmacotherapy: Findings in the NIMH Treatment of Depression Collaborative Research Program. Americal Journal of Psychiatry, 148(8), 997–1008. Retrieved from http://ajp.psychiatryonline.org/journal.aspx?journalid=13.

    Google Scholar 

  • Spek, V., Nyklicek, I., Cuijpers, P., & Pop, V. (2008). Predictors of outcome of group and internet-based cognitive behavior therapy. Journal of Affective Disorders, 105(1–3), 137–145. doi:10.1016/j.jad.2007.05.001.

    Article  PubMed  Google Scholar 

  • SPSS Inc. (2009). PASW Release 18.0: SPSS Inc.

  • StataCorp. (2007). Stata Statistical Software: Release 10.1. College Station, TX: StataCorp LP.

  • Thase, M., Simons, A., McGeary, J., Cahalane, J., Hughes, C., Harden, T., & Friedman, E. (1992). Relapse after cognitive behavior therapy of depression: Potential implications for longer courses of treatment. American Journal of Psychiatry, 149(8), 1046–1052. Retrieved from http://ajp.psychiatryonline.org/journal.aspx?journalid=13.

    Google Scholar 

  • van Straten, A., Cuijpers, P., & Smits, N. (2008). Effectiveness of a web-based self-help intervention for symptoms of depression, anxiety, and stress: Randomized controlled trial. Journal of Medical Internet Research, 10(1), e7. doi:10.2196/jmir.954.

    Article  PubMed Central  PubMed  Google Scholar 

  • Warmerdam, L., van Straten, A., Twisk, J., Riper, H., & Cuijpers, P. (2008). Internet-based treatment for adults with depressive symptoms: Randomized controlled trial. Journal of Medical Internet Research, 10(4), e44. doi:10.2196/jmir.1094.

    Article  PubMed Central  PubMed  Google Scholar 

  • Weinberger, J., & Eig, A. (1999). Expectancies: The ignored common factor in psychotherapy. In I. Kirsch (Ed.), How expectancies shape experience (pp. 357–382). Washington, DC: American Psychological Society.

    Chapter  Google Scholar 

  • Westra, H., Dozois, D., & Boardman, C. (2002). Predictors of treatment change and engagement in cognitive-behavioral group therapy for depression. Journal of Cognitive Psychotherapy, 16(2), 227–241. doi:10.1891/jcop.16.2.227.63996.

    Article  Google Scholar 

  • Whooley, M. A., Avins, A. L., Miranda, J., & Browner, W. S. (1997). Case-finding instruments for depression. Two questions are as good as many. Journal of General Internal Medicine, 12(7), 439–445. doi:10.1046/j.1525-1497.1997.00076.x.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Wierzbicki, M., & Pekarik, G. (1993). A meta-analysis of psychotherapy dropout. Professional Psychology: Research and Practice, 24(2), 190–195. doi:10.1037/a0021175.

    Article  Google Scholar 

  • Williams, J. W., Jr., Pignone, M., Ramirez, G., & Perez Stellato, C. (2002). Identifying depression in primary care: A literature synthesis of case-finding instruments. General Hospital Psychiatry, 24(4), 225–237. doi:10.1016/S0163-8343(02)00195-0.

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

The trial on which this paper is based was funded by an Australian Research Council Linkage Project Grant (LP0667970). K.M.G. is supported by a National Health and Medical Research Council Fellowship (525413). H.C. is supported by a National Health and Medical Research Council Fellowship (525411). P.J.B. is supported by a National Health and Medical Research Council Early Career Fellowship (1035262). Nicole Hayes (nee Burgess) coordinated and conducted data collection for the trial. Dawn O’Neil was involved in obtaining funding for the trial and coordinating Lifeline Australia’s collaboration with the ANU. Associate Prof Richard O’Kearney provided guidance on the background to this study. Trevor Carlyon was also involved in coordinating Lifeline staff and volunteer involvement in the trial and supported Nicole in her role.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Louise M. Farrer.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Farrer, L.M., Griffiths, K.M., Christensen, H. et al. Predictors of Adherence and Outcome in Internet-Based Cognitive Behavior Therapy Delivered in a Telephone Counseling Setting. Cogn Ther Res 38, 358–367 (2014). https://doi.org/10.1007/s10608-013-9589-1

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10608-013-9589-1

Keywords

Navigation