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Open Access 10-02-2024 | Depressive Disorders | Original Article

Pilot Study Dismantling the Cognitive Behavioral Analysis System of Psychotherapy: Identifying the Active Ingredients

Authors: Lee R. Long, Mark Foster, Kara Burr, J. Kim Penberthy, Tracy N. Baker, James P. McCullough Jr.

Published in: Cognitive Therapy and Research

Abstract

Background

CBASP is a learning acquisition model of psychotherapy and until this present study, has not been systematically dismantled to identify the active ingredient.

Methods

The present investigation is the first formal dismantling pilot-study conducted to date on the Cognitive Behavioral Analysis System of Psychotherapy (CBASP). The two major treatment components of CBASP, Situational Analysis (SA) and the Interpersonal Discrimination Exercise (IDE), were administered alone and with CBASP treatment-as-usual (the combination of both) to determine if there were active ingredients operative in the model. Secondly, we questioned if the dismantling of CBASP should continue in a larger study in an effort to answer the greater dismantling question of whether to administer both SA and IDE separately based on the active ingredient outcomes.

Results

The study did achieve visually inspected differential data patterns across the three groups of the dependent measures. Based on these outcomes, a larger dismantling study seems warranted and is recommended.

Conclusions

We strongly urge that a larger dismantling study using a similar design be conducted in an effort to further the dismantling process of the CBASP model.

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Ahn, H. N., & Wampold, B. E. (2001). Where oh where are the specific ingredients? A meta-analysis of component studies in counseling and psychotherapy. Journal of Counseling Psychology, 48(3), 251–257. https://doi.org/10.1037/0022-0167.48.3.251.CrossRef

American Psychiatric Association (2013). Diagnostic and statistical manual of mental disorders (5th ed). American Psychiatric Publishing. https://doi.org/10.1176/appi.books.9780890425596.

Beck, A., Steer, R., & Brown, G. (1996). BDI-II: Beck depression inventory. Pearson. https://doi.org/10.1037/t00742-000.CrossRef

Beck, A. T., Rush, A. J., Shaw, B. F., & Emery, G. (1979). Cognitive therapy of Depression. Guilford Press.

Bell, E. C., Marcus, D. K., & Goodlad, J. K. (2013). Are the parts as good as the whole? A meta-analysis of component treatment studies. Journal of Consulting and Clinical Psychology, 81(4), 722–736. https://doi.org/10.1037/a0033004CrossRefPubMed

Furukawa, T., Schramm, E., Weitz, E., Salanti, G., Efthimiou, O., Michalak, J., Watanabe, N., Cipriani, A., Keller, M., Kocsis, J., Klein, D., & Cuijpers, P. (2016). Cognitive- Behavioral Analysis System of Psychotherapy (CBASP), a drug, or their combination: differential therapeutics for persistent depressive disorder: A study protocol of an individual participant data network meta-analysis. BMJ Open, 6(5), 1–6. https://doi.org/10.1136/bmjopen-2016-011769

Hom, M., Stanley, I., Vazquez, A., Belz, M., & Joiner, T. (2017). Gains in cognitive behavioral analysis system of psychotherapy: Examining treatment progress and processes of change in a psychiatric outpatient sample. International Journal of Cognitive Therapy, 10(3), 255–268. https://doi.org/10.1521/ijct.2017.10.3.255

Jacobson, N. S., Dobson, K. S., Truax, P. A., Addis, M. E., Koerner, K., Gollan, J. K., Gortner, E., & Prince, S. E. (1996). A component analysis of cognitive-behavioral treatment for depression. Journal of Consulting and Clinical Psychology, 64(2), 295–304. https://doi.org/10.1037/0022-006X.64.2.295.CrossRefPubMed

Kazdin, A. (2007). Mediators and mechanisms of change in psychotherapy research. Annual Review of Clinical Psychology, 3, 1–27. https://doi.org/10.1146/annurev.clinpsy.3.022806.091432

Kazdin, A., & Nock, M. (2003). Delineating mechanisms of change in child and adolescent therapy: Methodological issues and research recommendations. Journal of Child Psychology and Psychiatry, 44, 1116–1129. https://doi.org/10.1111/1469-7610.00195

Keller, M., McCullough, J., Klein, D., Arnow, B., Dunner, D., Gelenberg, A., Markowitz, J., Nemeroff, C., Russell, J., Thase, M., Trivedi, M., & Zajecka, J. (2000). A comparison of nefazodone, the cognitive behavioral analysis system of psychotherapy, and their combination for the treatment of chronic depression. New England Journal of Medicine, 342(20), 1462–1470. https://doi.org/10.1056/NEJM200005183422001

Kiesler, D. (1988). Therapeutic metacommunication: Therapist Impact Disclosure as Feedback in Psychotherapy. Consulting Psychologist Press.

Kiesler, D. J., & Schmidt, J. A. (1993). Impact message inventory–circumplex octant scale version (IMI). APA PsycTests. https://doi.org/10.1037/t64697-000

McCullough, J. (1996). The procedure for standardizing the rating of Axis V functioning in the DSM-IV-TR (GAF-R). Virginia Commonwealth University. Unpublished Manuscript.

McCullough, J. (2000). Treatment for Chronic Depression: Cognitive behavioral analysis system of psychotherapy (CBASP). Guilford Press.

McCullough, J. P. Jr. (2006). Treating Chronic Depression with disciplined personal involvement: CBASP. Springer. https://doi.org/10.1007/978-0-387-31066-4.

McCullough, J. P. Jr., Lord, B. D., Conley, K. A., & Martin, A. M. (2010). A method for conducting intensive psychological studies with early-onset chronically depressed patients. American Journal of Psychotherapy, 64 (4), 317–337.CrossRefPubMed

McCullough, J. P. Jr., Schramm, E., & Penberthy, J. K. (2015). CBASP as a distinctive treatment for persistent depressive disorder. Routledge. https://doi.org/10.1176/appi.psychotherapy.2010.64.4.317

Negt, P., Brakemeier, E., Winter, L., Bleich, S., & Kahl, K. (2016). The treatment of chronic depression with cognitive behavioral analysis system of psychotherapy: A systematic review and meta-analysis of randomized-controlled clinical trials. Brain and Behavior, 6(8), 1–25. https://doi.org/10.1002/brb3.486

Papa, A., & Follette, W. C. (2015). Dismantling studies of psychotherapy. The encyclopedia of clinical psychology (pp. 1–6). John Wiley. https://doi.org/10.1002/9781118625392.wbecp523

Penberthy, J. K. (2019). Persistent depressive disorders. Hogrefe Publishing. https://doi.org/10.1027/00505-000.

Rounsaville, B. J., Carroll, K. M., & Onken, L. S. (2001). A stage model of behavioral therapies research: Getting started and moving on from Stage I. Clinical Psychology: Science and Practice, 8 (2), 133–142.

Schramm, E., Kriston, L., Zobel, I., Bailer, J., Wambach, K., Backenstrass, M., Klein, J., Schoepf, D., Schnell, D., Gumz, A., Bausch, P., Fangmeier, T., Meister, R., Berger, M., Hautzinger, M., & Härter, M. (2017). Effective disorder-specific vs nonspecific psychotherapy for chronic depression: A randomized clinical trial. JAMA Psychiatry, 74(3), 233–242. https://doi.org/10.1001/jamapsychiatry.2016.3880

Sidman, M. (1960). Tactics of scientific research: Evaluating experimental data in psychology. Basic Books.

Williams, J. B. (2001). Standardizing the Hamilton Depression Rating Scale: Past, present, and future. European Archive of Psychiatry and Clinical Neuroscience, 251(2), 6–12. https://doi.org/10.1007/BF03035120CrossRef

Williams, J. B. (2013). Structured interview guide for the Hamilton Depression Rating Scale-17 Item Version (SIGH-D-17) – SLE since last evaluation (SLE) version.

Title: Pilot Study Dismantling the Cognitive Behavioral Analysis System of Psychotherapy: Identifying the Active Ingredients
Authors: Lee R. Long
Mark Foster
Kara Burr
J. Kim Penberthy
Tracy N. Baker
James P. McCullough Jr.
Publication date: 10-02-2024
Publisher: Springer US
Keywords: Depressive Disorders
Psychotherapy
Active Ingredients
Published in: Cognitive Therapy and Research
Print ISSN: 0147-5916
Electronic ISSN: 1573-2819
DOI: https://doi.org/10.1007/s10608-024-10467-z

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Pilot Study Dismantling the Cognitive Behavioral Analysis System of Psychotherapy: Identifying the Active Ingredients

Abstract

Background

Methods

Results

Conclusions

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Background

Methods

Results

Conclusions

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