Hostname: page-component-586b7cd67f-dsjbd Total loading time: 0 Render date: 2024-11-21T06:17:44.173Z Has data issue: false hasContentIssue false

Differential efficacy of cognitive behavioral therapy and psychodynamic therapy for major depression: a study of prescriptive factors

Published online by Cambridge University Press:  11 January 2016

E. Driessen*
Affiliation:
Department of Clinical Psychology, VU University Amsterdam, Amsterdam, The Netherlands EMGO Institute for Health and Care Research, VU University and VU University Medical Center Amsterdam, The Netherlands
N. Smits
Affiliation:
Department of Clinical Psychology, VU University Amsterdam, Amsterdam, The Netherlands EMGO Institute for Health and Care Research, VU University and VU University Medical Center Amsterdam, The Netherlands
J. J. M. Dekker
Affiliation:
Department of Clinical Psychology, VU University Amsterdam, Amsterdam, The Netherlands EMGO Institute for Health and Care Research, VU University and VU University Medical Center Amsterdam, The Netherlands Arkin Mental Health Care, Amsterdam, The Netherlands
J. Peen
Affiliation:
Arkin Mental Health Care, Amsterdam, The Netherlands
F. J. Don
Affiliation:
Arkin Mental Health Care, Amsterdam, The Netherlands ProPersona Mental Health, Nijmegen, The Netherlands
S. Kool
Affiliation:
Arkin Mental Health Care, Amsterdam, The Netherlands
D. Westra
Affiliation:
Arkin Mental Health Care, Amsterdam, The Netherlands
M. Hendriksen
Affiliation:
Arkin Mental Health Care, Amsterdam, The Netherlands
P. Cuijpers
Affiliation:
Department of Clinical Psychology, VU University Amsterdam, Amsterdam, The Netherlands EMGO Institute for Health and Care Research, VU University and VU University Medical Center Amsterdam, The Netherlands
H. L. Van
Affiliation:
Arkin Mental Health Care, Amsterdam, The Netherlands
*
*Address for correspondence: Dr E. Driessen, Faculty of Psychology and Education, Department of Clinical Psychology, VU University Amsterdam, Transitorium 2B-57, Van der Boechorststraat 1, 1081 BT Amsterdam, The Netherlands. (Email: e.driessen@vu.nl)

Abstract

Background

Minimal efficacy differences have been found between cognitive behavioral therapy (CBT) and psychodynamic therapies for depression, but little is known about patient characteristics that might moderate differential treatment effects. We aimed to generate hypotheses regarding such potential prescriptive factors.

Method

We conducted post-hoc model-based recursive partitioning analyses alongside a randomized clinical trial comparing the efficacy of CBT and short-term psychodynamic supportive psychotherapy (SPSP). Severely depressed patients received additional antidepressant medication. We included 233 adults seeking treatment for a major depressive episode in psychiatric outpatient clinics, who completed post-treatment assessment. Post-treatment mean Hamilton Depression Rating Scale scores constituted the main outcome measure.

Results

While treatment differences (CBT v. SPSP) were minimal in the total sample of patients (d = 0.04), model-based recursive partitioning indicated differential treatment efficacy in certain subgroups of patients. SPSP was found more efficacious among moderately depressed patients receiving psychotherapy only who showed low baseline co-morbid anxiety levels (d = −0.40) and among severely depressed patients receiving psychotherapy and antidepressant medication who reported a duration of the depressive episode of ⩾1 year (d = −0.31), while CBT was found more efficacious for such patients reporting a duration <1 year (d = 0.83).

Conclusions

Our findings are observational and need validation before they can be used to guide treatment selection, but suggest that knowledge of prescriptive factors can help improve the efficacy of psychotherapy for depression. Depressive episode duration and co-morbid anxiety level should be included as stratification variables in future randomized clinical trials comparing CBT and psychodynamic therapy.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2016 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Aiken, LS, West, SG (1991). Multiple Regression: Testing and Interpreting Interactions. Sage: Newbury Park.Google Scholar
Barth, J, Munder, T, Gerger, H (2013). Comparative efficacy of seven psychotherapeutic interventions for patients with depression: a network meta-analysis. PLoS Medicine 10, e1001454.Google Scholar
Beck, AT (1976). Cognitive Therapy and the Emotional Disorders. International Universities Press: New York.Google Scholar
Beck, AT, Epstein, N, Brown, G, Steer, RA (1988). An inventory for measuring clinical anxiety: psychometric properties. Journal of Consulting and Clinical Psychology 56, 893897.CrossRefGoogle ScholarPubMed
Cohen, J (1988). Statistical Power Analysis for the Behavioral Sciences, 2nd edn. Lawrence Erlbaum Associates: Mahwah, New Jersey, USA.Google Scholar
Cohen, J, Cohen, P, West, SG, Aiken, LS (2013). Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences, 3rd edn. Lawrence Erlbaum Associates: Mahwah, New Jersey, USA.Google Scholar
Cuijpers, P, van Straten, A, Andersson, G, van Oppen, P (2008). Psychotherapy for depression in adults: a meta-analysis of comparative outcome studies. Journal of Consulting and Clinical Psychology 76, 909922.Google Scholar
de Beurs, E, Zitman, F (2006). De Brief Symptom Inventory (BSI) De betrouwbaarheid en validiteit van een handzaam alternatief voor de SCL-90. [The Brief Symptom Inventory (BSI). Reliability and validity of a manageable SCL-90 alternative]. Maandblad Geestelijke Volksgezondheid 61, 120141.Google Scholar
de Jonghe, F (1994). Leidraad voor het scoren van de Hamilton Depression Rating Scale [Hamilton Depression Rating Scale scoring manual]. Benecke Consultants: Amsterdam.Google Scholar
de Jonghe, F (2005). Kort en Krachtig. Kortdurende Psychoanalytische Steungevende Psychotherapie [Short and snappy. Short-term psychoanalytical supportive psychotherapy]. Benecke N.I.: Amsterdam.Google Scholar
de Jonghe, F, de Maat, S, Van, R, Hendriksen, M, Kool, S, van Aalst, G, Dekker, J (2013). Short-term Psychoanalytic Supportive Psychotherapy for depressed patients. Psychoanalytic Inquiry 33, 614625.Google Scholar
Driessen, E, Van, HL, Don, FJ, Peen, J, Kool, S, Westra, D, Hendriksen, M, Cuijpers, P, Twisk, J, Dekker, JJM (2013). The efficacy of cognitive behavioral therapy and psychodynamic therapy in the outpatient treatment of major depression: a randomized clinical trial. American Journal of Psychiatry 170, 10411050.Google Scholar
Driessen, E, Van, HL, Peen, J, Don, FJ, Kool, S, Westra, D, Hendriksen, M, Cuijpers, P, Twisk, J, Dekker, JJM (2015). Therapist-rated outcomes in a randomized clinical trial comparing cognitive behavioral therapy and psychodynamic therapy for major depression. Journal of Affective Disorders 170, 112118.Google Scholar
Driessen, E, Van, HL, Schoevers, RA, Cuijpers, P, van Aalst, G, Don, FJ, Hendriksen, M, Molenaar, P, Dekker, JJM (2007). Cognitive behavioral therapy versus short psychodynamic psychotherapy in the outpatient treatment of depression: a randomized controlled trial. BMC Psychiatry 7, 58.CrossRefGoogle ScholarPubMed
Dusseldorp, E, Meulman, J (2004). The regression trunk approach to discover treatment covariate interaction. Psychometrika 69, 355374.Google Scholar
Dusseldorp, E, Spinhoven, P, Bakker, A, van Dyck, R, van Balkom, AJLM (2007). Which panic disorder patients benefit from which treatment: cognitive therapy or antidepressants? Psychotherapy and Psychosomatics 76, 154161.Google Scholar
Dusseldorp, E, Van Mechelen, I (2014). Qualitative interaction trees: a tool to identify qualitative treatment-subgroup interactions. Statistics in Medicine 33, 219237.Google Scholar
Gallagher-Thompson, D, Steffen, AM (1994). Comparative effects of cognitive-behavioral and brief psychodynamic psychotherapies for depressed family caregivers. Journal of Consulting and Clinical Psychology 62, 543549.CrossRefGoogle ScholarPubMed
Hakkaart-van Roijen, L (2002). Handleiding Trimbos/iMTA questionnaire for Costs associated with Psychiatric Illness (TiC-P) . Institute for Medical Technology Assessment, Erasumus Universiteit Rotterdam: Rotterdam.Google Scholar
Hamilton, M (1960). A rating scale for depression. Journal of Neurology, Neurosurgery and Psychiatry 23, 5662.CrossRefGoogle ScholarPubMed
Hothorn, T, Hornik, K, Strobl, C, Zeileis, A (2012). Party: a laboratory for recursive partytioning (version 1.0–2) [Computer software manual]. Available from http://cran.r-project.org/ Google Scholar
Kraemer, HC, Wilson, T, Fairburn, CG, Agras, WS (2002). Mediators and moderators of treatment effects in randomized clinical trials. Archives of General Psychiatry 59, 877883.Google Scholar
Leichsenring, F (2001). Comparative effects of short-term psychodynamic psychotherapy and cognitive-behavioral therapy in depression: a meta-analytic approach. Clinical Psychology Review 21, 401419.Google Scholar
Molenaar, PJ, Don, F, van den Bout, J, Sterk, F, Dekker, J (2009). Cognitieve gedragstherapie bij depressie [Cognitive Behavioral Therapy for Depression]. Bohn Stafleu van Loghum: Houten, The Netherlands.Google Scholar
NICE (2009). Depression: the treatment and management of depression in adults (update). (http://guidance.nice.org.uk/CG90/). National Institute for Health and Clinical Excellence. Accessed 21 December 2012.Google Scholar
R Development Core Team (2010). R: A language and environment for statistical computing [Computer software manual]. Vienna, Austria. Available from http://www.R-project.org Google Scholar
Reiss, S, Peterson, RA, Gursky, DM, McNally, RJ (1986). Anxiety sensitivity, anxiety frequency and the predictions of fearfulness. Behavior Research and Therapy 24, 18.Google Scholar
Sheehan, DV, Lecrubier, Y, Sheehan, KH, Amorim, P, Janavs, J, Weiller, E, Herqueta, T, Baker, R, Dunbar, GC (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. Journal of Clinical Psychiatry 59 (Suppl. 20), 2233.Google Scholar
Stevens, J (2002). Applied Multivariate Statistics for the Social Sciences, 4th edn. Lawrence Erlbaum: London.Google Scholar
Strobl, C, Malley, J, Tutz, G (2009). An introduction to recursive partitioning: rationale, application, and characteristics of classification and regression trees, bagging, and random forests. Psychological Methods 14, 323348.Google Scholar
van der Does, W (2002). Cognitive reactivity to sad mood: structure and validity of a new measure. Behavior Research and Therapy 40, 105120.Google Scholar
Ward, EC (2007). Examining differential treatment effects for depression in racial and ethnic minority women: a qualitative systematic review. Journal of the National Medical Association 99, 265274.Google Scholar
Zeileis, A, Hothorn, T, Hornik, K (2008). Model-based recursive partitioning. Journal of Computational and Graphical Statistics 17, 492514.Google Scholar
Zeileis, A, Hothorn, T, Hornik, K (2012). Party with the mob: model-based recursive partitioning in R (Tech. Rep.). (http://cran.r-project.org/web/packages/party/vignettes). Accessed 19 November 2012.Google Scholar