A randomized controlled trial evaluating a manualized TeleCoaching protocol for improving adherence to a web-based intervention for the treatment of depression

David C Mohr, Jenna Duffecy, Joyce Ho, Mary Kwasny, Xuan Cai, Michelle Nicole Burns, Mark Begale, David C Mohr, Jenna Duffecy, Joyce Ho, Mary Kwasny, Xuan Cai, Michelle Nicole Burns, Mark Begale

Abstract

Background: Web-based interventions for depression that are supported by coaching have generally produced larger effect-sizes, relative to standalone web-based interventions. This is likely due to the effect of coaching on adherence. We evaluated the efficacy of a manualized telephone coaching intervention (TeleCoach) aimed at improving adherence to a web-based intervention (moodManager), as well as the relationship between adherence and depressive symptom outcomes.

Methods: 101 patients with MDD, recruited from primary care, were randomized to 12 weeks moodManager+TeleCoach, 12 weeks of self-directed moodManager, or 6 weeks of a waitlist control (WLC). Depressive symptom severity was measured using the PHQ-9.

Results: TeleCoach+moodManager, compared to self-directed moodManager, resulted in significantly greater numbers of login days (p = 0.01), greater time until last use (p = 0.007), greater use of lessons (p = 0.03), greater variety of interactive tools used (p = 0.02), but total instances of tool use did not reach statistical significance. (p = 0.07). TeleCoach+moodManager produced significantly lower PHQ-9 scores relative to WLC at week 6 (p = 0.04), but there were no other significant differences in PHQ-9 scores at weeks 6 or 12 (ps>0.20) across treatment arms. Baseline PHQ-9 scores were no significantly related to adherence to moodManager.

Conclusions: TeleCoach produced significantly greater adherence to moodManager, relative to self-directed moodManager. TeleCoached moodManager produced greater reductions in depressive symptoms relative to WLC, however, there were no statistically significant differences relative to self-directed moodManager. While greater use was associated with better outcomes, most users in both TeleCoach and self-directed moodManager had dropped out of treatment by week 12. Even with telephone coaching, adherence to web-based interventions for depression remains a challenge. Methods of improving coaching models are discussed.

Trial registration: Clinicaltrials.gov NCT00719979.

Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Figure 1. Flow of study participants through…
Figure 1. Flow of study participants through the trial.

References

    1. Kessler RC, McGonagle KA, Zhao S, Nelson CB, Hughes M, et al. (1994) Lifetime and 12-month prevalence of DSM-III-R psychiatric disorders in the United States. Results from the National Comorbidity Survey. Arch Gen Psychiatry 51: 8–19.
    1. Kessler RC, Berglund P, Demler O, Jin R, Koretz D, et al. (2003) The Epidemiology of Major Depressive Disorder: Results From the National Comorbidity Survey Replication (NCS-R). Jama 289: 3095–3105.
    1. Wells K, Miranda J, Bauer M, Bruce M, Durham M, et al. (2002) Overcoming barriers to reducing the burden of affective disorders. Biol Psychiatry 52: 655.
    1. Whooley MA, Simon GE (2000) Managing depression in medical outpatients. N Engl J Med 343: 1942–1950.
    1. Whooley MA, Stone B, Soghikian K (2000) Randomized trial of case-finding for depression in elderly primary care patients. J Gen Intern Med 15: 293–300.
    1. Dwight-Johnson M, Sherbourne CD, Liao D, Wells KB (2000) Treatment preferences among depressed primary care patients. J Gen Intern Med 15: 527–534.
    1. Mohr DC, Ho J, Duffecy J, Baron KG, Lehman KA, et al. (2010) Perceived barriers to psychological treatments and their relationship to depression. J Clin Psychol 66: 394–409.
    1. Mohr DC, Hart SL, Howard I, Julian L, Vella L, et al. (2006) Barriers to psychotherapy among depressed and nondepressed primary care patients. Ann Behav Med 32: 254–258.
    1. Andersson G, Cuijpers P (2009) Internet-based and other computerized psychological treatments for adult depression: a meta-analysis. Cogn Behav Ther 38: 196–205.
    1. Perini S, Titov N, Andrews G (2009) Clinician-assisted Internet-based treatment is effective for depression: Randomized controlled trial. Aust N Z J Psychiatry 43: 571–578.
    1. de Graaf LE, Huibers MJ, Riper H, Gerhards SA, Arntz A (2009) Use and acceptability of unsupported online computerized cognitive behavioral therapy for depression and associations with clinical outcome. J Affect Disord 116: 227–231.
    1. Christensen H, Griffiths KM, Farrer L (2009) Adherence in internet interventions for anxiety and depression. J Med Internet Res 11: e13.
    1. Ruwaard J, Lange A, Schrieken B, Dolan CV, Emmelkamp P (2012) The Effectiveness of Online Cognitive Behavioral Treatment in Routine Clinical Practice. PLoS One 7: e40089.
    1. Mohr DC, Cuijpers P, Lehman K (2011) Supportive Accountability: A Model for Providing Human Support to Enhance Adherence to eHealth Interventions. J Med Internet Res 13: e30.
    1. Duffecy J, Kinsinger S, Ludman E, Mohr DC (Unpublished Manuscript) Brief telephone support program to enhance patient adherence to Technology Assisted Behavioral Interventions (TABIs): Therapist manual.
    1. Mohr DC, Duffecy J, Jin L, Ludman EJ, Lewis A, et al. (2010) Multimodal e-mental health treatment for depression: a feasibility trial. J Med Internet Res 12: e48.
    1. Sheehan DV, Lecrubier Y, Sheehan KH, Amorim P, Janavs J, et al. (1998) The Mini-International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. J Clin Psychiatry 59 Suppl 20: 22–33;quiz 34–57.
    1. Rush AJ, Trivedi MH, Ibrahim HM, Carmody TJ, Arnow B, et al. (2003) The 16-Item Quick Inventory of Depressive Symptomatology (QIDS), clinician rating (QIDS-C), and self-report (QIDS-SR): a psychometric evaluation in patients with chronic major depression. Biol Psychiatry 54: 573–583.
    1. Desmond DW, Tatemichi TK, Hanzawa L (1994) The telephone interview for cognitive status (TICS): reliability and validity in a stroke sample. International Journal of Geriatric Psychiatry 9: 803–807.
    1. Kroenke K, Spitzer RL, Williams JB (2001) The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med 16: 606–613.
    1. Diggle P, Heagerty P, Liang K-Y, SZeger S (2002) Analysis of longitudinal data, 2nd Edition. New York: Oxford University Press.
    1. Siddique J, Belin TR (2008) Multiple imputation using an iterative hot-deck with distance-based donor selection. Stat Med 27: 83–102.
    1. Li KH, Raghunathan TE, Rubin DB (1991) Large sample significance levels from multiply-imputed data using moment-based statistics and an F reference distribution. Journal of the American Statistical Association 86: 1065–1073.
    1. Farrer L, Christensen H, Griffiths KM, Mackinnon A (2011) Internet-based CBT for depression with and without telephone tracking in a national helpline: randomised controlled trial. PLoS One 6: e28099.
    1. Berger T, Hammerli K, Gubser N, Andersson G, Caspar F (2011) Internet-based treatment of depression: a randomized controlled trial comparing guided with unguided self-help. Cogn Behav Ther 40: 251–266.
    1. Christensen H, Griffiths KM, Jorm AF (2004) Delivering interventions for depression by using the internet: randomised controlled trial. Bmj 328: 265.
    1. Christensen H, Griffiths KM, Korten A (2002) Web-based cognitive behavior therapy: analysis of site usage and changes in depression and anxiety scores. J Med Internet Res 4: e3.
    1. Gerhards SA, Abma TA, Arntz A, de Graaf LE, Evers SM, et al. (2011) Improving adherence and effectiveness of computerised cognitive behavioural therapy without support for depression: a qualitative study on patient experiences. J Affect Disord 129: 117–125.
    1. Spek V, Cuijpers P, Nyklicek I, Riper H, Keyzer J, et al. (2007) Internet-based cognitive behaviour therapy for symptoms of depression and anxiety: a meta-analysis. Psychol Med 37: 319–328.
    1. Warmerdam L, van Straten A, Twisk J, Riper H, Cuijpers P (2008) Internet-based treatment for adults with depressive symptoms: randomized controlled trial. J Med Internet Res 10: e44.
    1. Jimison H, Gorman P, Woods S, Nygren P, Walker M, et al... (2008) Barriers and drivers of health information technology use for the elderly, chronically ill, and underserved. Rockville, MD: Agency for Healthcare Research and Quality. AHRQ Publication No. 09-E004 AHRQ Publication No.09-E004.
    1. Donkin L, Christensen H, Naismith SL, Neal B, Hickie IB, et al. (2011) A systematic review of the impact of adherence on the effectiveness of e-therapies. J Med Internet Res 13: e52.
    1. Hilvert-Bruce Z, Rossouw PJ, Wong N, Sunderland M, Andrews G (2012) Adherence as a determinant of effectiveness of internet cognitive behavioural therapy for anxiety and depressive disorders. Behav Res Ther 50: 463–468.
    1. Cuijpers P, Van Straten A, Warmerdam L, Smits N (2008) Characteristics of effective psychological treatments of depression: a metaregression analysis. Psychother Res 18: 225–236.
    1. Wright JH, Wright AS, Albano AM, Basco MR, Goldsmith LJ, et al. (2005) Computer-assisted cognitive therapy for depression: maintaining efficacy while reducing therapist time. Am J Psychiatry 162: 1158–1164.
    1. Titov N, Andrews G, Davies M, McIntyre K, Robinson E, et al. (2010) Internet treatment for depression: a randomized controlled trial comparing clinician vs. technician assistance. PLoS One 5: e10939.
    1. Walther JB, Parks MR (2002) Cues filtered out, cues filtered in: Computer-mediated communication and relationships. In: Knapp ML, Daly JA, editors. Handbook of Interpersonal Communication, 3rd Ed. Thousand Oaks, CA: Sage Publications. pp. 529–563.
    1. Johansson R, Andersson G (2012) Internet-based psychological treatments for depression. Expert Rev Neurother 12: 861–869; quiz 870.
    1. Deci EL, Koestner R, Ryan RM (1999) A meta-analytic review of experiments examining the effects of extrinsic rewards on intrinsic motivation. Psychol Bull 125: 627–668; discussion 692–700.
    1. Donkin L, Glozier N (2012) Motivators and motivations to persist with online psychological interventions: a qualitative study of treatment completers. J Med Internet Res 14: e91.

Source: PubMed

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