Internet-based treatment for depression in multiple sclerosis: A randomized controlled trial

Multiple Sclerosis

Volumn 23, Issue 8, 2017, Pages 1112-1122

  Boeschoten, Rosa E ^a   Dekker, Joost ^a   Uitdehaag, Bernard M J ^a   Beekman, Aartjan T F ^a   Hoogendoorn, Adriaan W ^a   Collette, Emma H ^a   Cuijpers, Pim ^a,b   Nieuwenhuis, Magdalena M ^a   Van Oppen, Patricia ^a  

^a VU UNIVERSITY MEDICAL CENTER   (Netherlands)

^b VU UNIVERSITY AMSTERDAM   (Netherlands)

Author keywords

clinical trial; Depression; Internet based treatment; multiple sclerosis; problem solving treatment

Indexed keywords

ADULT; ARTICLE; BECK DEPRESSION INVENTORY; CONTROLLED STUDY; DEPRESSION; DISEASE ASSOCIATION; DISEASE SEVERITY; FEMALE; HOSPITAL ADMISSION; HUMAN; INTENTION TO TREAT ANALYSIS; INTERNET; MAJOR CLINICAL STUDY; MULTIPLE SCLEROSIS; PROBLEM SOLVING; RANDOMIZED CONTROLLED TRIAL; SCORING SYSTEM; SYMPTOMATOLOGY; COMPLICATION; MALE; MIDDLE AGED; TREATMENT OUTCOME;

ADULT; DEPRESSION; FEMALE; HUMANS; INTERNET; MALE; MIDDLE AGED; MULTIPLE SCLEROSIS; PROBLEM SOLVING; TREATMENT OUTCOME;

EID: 85020847762     PISSN: 13524585     EISSN: 14770970     Source Type: Journal    
DOI: 10.1177/1352458516671820     Document Type: Article

References (35)

1. Marrie RA, Reingold S, Cohen J, et al. The incidence and prevalence of psychiatric disorders in multiple sclerosis: A systematic review. Mult Scler 2015; 21 (3): 305-317.
2. Goldman Consensus Group. The Goldman consensus statement on depression in multiple sclerosis. Mult Scler 2005; 11 (3): 328-337.
3. Minden SL, Feinstein A, Kalb RC, et al. Evidence-based guideline: Assessment and management of psychiatric disorders in individuals with MS: Report of the Guideline Development Subcommittee of the American Academy of Neurology. Neurology 2014; 82 (2): 174-181.
4. Van Straten A, Geraedts A, Verdonck-de Leeuw I, et al. Psychological treatment of depressive symptoms in patients with medical disorders: A meta-analysis. J Psychosom Res 2010; 69 (1): 23-32.
5. Fiest KM, Walker JR, Bernstein CN, et al. Systematic review and meta-analysis of interventions for depression and anxiety in persons with multiple sclerosis. Mult Scler Relat Disord 2016; 5: 12-26.
6. Mohr DC, Cox D,. Multiple sclerosis: Empirical literature for the clinical health psychologist. J Clin Psychol 2001; 57 (4): 479-499.
7. Cuijpers P, Donker T, Van Straten A, et al. Is guided self-help as effective as face-to-face psychotherapy for depression and anxiety disorders? A systematic review and meta-analysis of comparative outcome studies. Psychol Med 2010; 40 (12): 1943-1957.
8. Lindefors N, Andersson G,. (eds.). Guided Internet-based treatments in psychiatry. Cham: Springer International Publishing, 2016.
9. Charova E, Dorstyn D, Tully P, et al. Web-based interventions for comorbid depression and chronic illness: A systematic review. J Telemed Telecare 2015; 21 (4): 189-201.
10. Boeschoten RE, Nieuwenhuis MM, van Oppen P, et al. Feasibility and outcome of a web-based self-help intervention for depressive symptoms in patients with multiple sclerosis: A pilot study. J Neurol Sci 2012; 315 (1-2): 104-109.
11. Fischer A, Schröder J, Vettorazzi E, et al. An online programme to reduce depression in patients with multiple sclerosis: A randomised controlled trial. Lancet Psychiatry 2015; 2 (3): 217-223.
12. Hind D, O'Cathain A, Cooper CL, et al. The acceptability of computerised cognitive behavioural therapy for the treatment of depression in people with chronic physical disease: A qualitative study of people with multiple sclerosis. Psychol Health 2010; 25 (6): 699-712.
13. Boeschoten RE, Dekker J, Uitdehaag BMJ, et al. Internet-based self-help treatment for depression in multiple sclerosis: Study protocol of a randomized controlled trial. BMC Psychiatry 2012; 12: 137.
14. van der Does AJW,. BDI-II manual: The Dutch version of the beck depression inventory. 2nd ed. Enschede, The Netherlands: Ipskamp, 2002 (in Dutch).
15. Rozental A, Andersson G, Boettcher J, et al. Consensus statement on defining and measuring negative effects of Internet interventions. Internet Interv 2014; 1 (1): 12-19.
16. White IR, Carpenter J, Horton NJ,. Including all individuals is not enough: Lessons for intention-to-treat analysis. Clin Trials 2012; 9 (4): 396-407.
17. Cohen J,. Statistical power analysis for the behavioral sciences. Hillsdale: Lawrence Erlbaum Association.
18. Morris SB,. Estimating effect sizes from the pretest-posttest-control group designs. Organ Res Methods, http://orm.sagepub.com/content/early/2007/11/28/1094428106291059 (2007,. accessed 2 June 2016).
19. Jacobson NS, Truax P,. Clinical significance: A statistical approach to defining meaningful change in psychotherapy research. J Consult Clin Psychol 1991; 59 (1): 12-19.
20. Richards D, Richardson T,. Computer-based psychological treatments for depression: A systematic review and meta-analysis. Clin Psychol Rev 2012; 32 (4): 329-342.
21. Ruwaard J, Schrieken B, Schrijver M, et al. Standardized web-based cognitive behavioural therapy of mild to moderate depression: A randomized controlled trial with a long-term follow-up. Cogn Behav Ther 2009; 38 (4): 206-221.
22. Zetterqvist K, Maanmies J, Ström L, et al. Randomized controlled trial of Internet-based stress management. Cogn Behav Ther 2003; 32 (3): 151-160.
23. Geraedts AS, Kleiboer AM, Wiezer NM, et al. Short-term effects of a web-based guided self-help intervention for employees with depressive symptoms: Randomized controlled trial. J Med Internet Res 2014; 16 (5): e121.
24. Kenter RMF, Cuijpers P, Beekman A, et al. Effectiveness of a web-based guided self-help intervention for outpatients with a depressive disorder: Short-term results from a randomized controlled trial. J Med Internet Res 2016; 18 (3): e80.
25. Mohr DC, Ho J, Hart TL, et al. Control condition design and implementation features in controlled trials: A meta-analysis of trials evaluating psychotherapy for depression. Transl Behav Med 2014; 4 (4): 407-423.
26. Bower P, Kontopantelis E, Sutton A, et al. Influence of initial severity of depression on effectiveness of low intensity interventions: Meta-analysis of individual patient data. BMJ 2013; 346: f540.
27. Van Bastelaar KMP, Pouwer F, Cuijpers P, et al. Is a severe clinical profile an effect modifier in a Web-based depression treatment for adults with type 1 or type 2 diabetes? Secondary analyses from a randomized controlled trial. J Med Internet Res 2012; 14 (1): e2.
28. Strober LB, Arnett PA,. Depression in multiple sclerosis: The utility of common self-report instruments and development of a disease-specific measure. J Clin Exp Neuropsychol 2015; 37 (7): 722-732.
29. Johansson R, Andersson G,. Internet-based psychological treatments for depression. Expert Rev Neurother 2012; 12 (7): 861-869.
30. Spijker J, de Graaf R, Bijl RV, et al. Duration of major depressive episodes in the general population: Results from The Netherlands mental health survey and incidence study (NEMESIS). Br J Psychiatry 2002; 181: 208-213.
31. Koch MW, Patten S, Berzins S, et al. Depression in multiple sclerosis: A long-term longitudinal study. Mult Scler 2015; 21 (1): 76-82.
32. Mohr DC, Boudewyn AC, Goodkin DE, et al. Comparative outcomes for individual cognitive-behavior therapy, supportive-expressive group psychotherapy, and sertraline for the treatment of depression in multiple sclerosis. J Consult Clin Psychol 2001; 69 (6): 942-949.
33. Cuijpers P, van Straten A, Schuurmans J, et al. Psychotherapy for chronic major depression and dysthymia: A meta-analysis. Clin Psychol Rev 2010; 30 (1): 51-62.
34. Zajecka J, Kornstein SG, Blier P,. Residual symptoms in major depressive disorder: Prevalence, effects, and management. J Clin Psychiatry 2013; 74 (4): 407-414.
35. MacLeod M, Martinez R, Williams C,. Cognitive behaviour therapy self-help: Who does it help and what are its drawbacks? Behav Cogn Psychother 2009; 37 (1): 61-72.