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Comparative Efficacy of Seven Psychotherapeutic Interventions for Patients with Depression: A Network Meta-Analysis

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  • Jürgen Barth
  • Thomas Munder
  • Heike Gerger
  • Eveline Nüesch
  • Sven Trelle
  • Hansjörg Znoj
  • Peter Jüni
  • Pim Cuijpers

Abstract

: Jürgen Barth and colleagues use network meta-analysis - a novel methodological approach - to reexamine the comparative efficacy of seven psychotherapeutic interventions for adults with depression. Background: Previous meta-analyses comparing the efficacy of psychotherapeutic interventions for depression were clouded by a limited number of within-study treatment comparisons. This study used network meta-analysis, a novel methodological approach that integrates direct and indirect evidence from randomised controlled studies, to re-examine the comparative efficacy of seven psychotherapeutic interventions for adult depression. Methods and Findings: We conducted systematic literature searches in PubMed, PsycINFO, and Embase up to November 2012, and identified additional studies through earlier meta-analyses and the references of included studies. We identified 198 studies, including 15,118 adult patients with depression, and coded moderator variables. Each of the seven psychotherapeutic interventions was superior to a waitlist control condition with moderate to large effects (range d = −0.62 to d = −0.92). Relative effects of different psychotherapeutic interventions on depressive symptoms were absent to small (range d = 0.01 to d = −0.30). Interpersonal therapy was significantly more effective than supportive therapy (d = −0.30, 95% credibility interval [CrI] [−0.54 to −0.05]). Moderator analysis showed that patient characteristics had no influence on treatment effects, but identified aspects of study quality and sample size as effect modifiers. Smaller effects were found in studies of at least moderate (Δd = 0.29 [−0.01 to 0.58]; p = 0.063) and large size (Δd = 0.33 [0.08 to 0.61]; p = 0.012) and those that had adequate outcome assessment (Δd = 0.38 [−0.06 to 0.87]; p = 0.100). Stepwise restriction of analyses by sample size showed robust effects for cognitive-behavioural therapy, interpersonal therapy, and problem-solving therapy (all d>0.46) compared to waitlist. Empirical evidence from large studies was unavailable or limited for other psychotherapeutic interventions. Conclusions: Overall our results are consistent with the notion that different psychotherapeutic interventions for depression have comparable benefits. However, the robustness of the evidence varies considerably between different psychotherapeutic treatments. Background: Depression is a very common condition. One in six people will experience depression at some time during their life. People who are depressed have recurrent feelings of sadness and hopelessness and might feel that life is no longer worth living. The condition can last for months and often includes physical symptoms such as headaches, sleeping problems, and weight gain or loss. Treatment of depression can include non-drug treatments (psychotherapy), antidepressant drugs, or a combination of the two. Especially for people with mild or intermediate depression, psychotherapy is often considered the preferred first option. Psychotherapy describes a range of different psychotherapies, and a number of established types of psychotherapies have all shown to work for at least some patients. Why Was This Study Done?: While it is broadly accepted that psychotherapy can help people with depression, the question of which type of psychotherapy works best for most patients remains controversial. While many scientific studies have compared one psychotherapy with control conditions, there have been few studies that directly compared multiple treatments. Without such direct comparisons, it has been difficult to establish the respective merits of the different types of psychotherapy. Taking advantage of a recently developed method called “network meta-analysis,” the authors re-examine the evidence on seven different types of psychotherapy to see how well they have been shown to work and whether some work better than others. What Did the Researchers Do and Find?: The researchers looked at seven different types of psychotherapy, which they defined as follows. “Interpersonal psychotherapy” is short and highly structured, using a manual to focus on interpersonal issues in depression. “Behavioral activation” raises the awareness of pleasant activities and seeks to increase positive interactions between the patient and his or her environment. “Cognitive behavioral therapy” focuses on a patient's current negative beliefs, evaluates how they affect current and future behavior, and attempts to restructure the beliefs and change the outlook. “Problem solving therapy” aims to define a patient's problems, propose multiple solutions for each problem, and then select, implement, and evaluate the best solution. “Psychodynamic therapy” focuses on past unresolved conflicts and relationships and the impact they have on a patient's current situation. In “social skills therapy,” patients are taught skills that help to build and maintain healthy relationships based on honesty and respect. “Supportive counseling” is a more general therapy that aims to get patients to talk about their experiences and emotions and to offer empathy without suggesting solutions or teaching new skills. What Do these Findings Mean?: Similar to earlier attempts to summarize and make sense of the many study results, this one finds benefits for all of the seven psychotherapies examined, and none of them stood as being much better than some or all others. The scientific support for being beneficial was stronger for some therapies, mostly because they had been tested more often and in larger studies. Additional Information: Please access these Web sites via the online version of this summary at http://dx.doi.org/10.1371/journal.pmed.1001454.

Suggested Citation

  • Jürgen Barth & Thomas Munder & Heike Gerger & Eveline Nüesch & Sven Trelle & Hansjörg Znoj & Peter Jüni & Pim Cuijpers, 2013. "Comparative Efficacy of Seven Psychotherapeutic Interventions for Patients with Depression: A Network Meta-Analysis," PLOS Medicine, Public Library of Science, vol. 10(5), pages 1-17, May.
  • Handle: RePEc:plo:pmed00:1001454
    DOI: 10.1371/journal.pmed.1001454
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    1. Eldon Spackman & Stewart Richmond & Mark Sculpher & Martin Bland & Stephen Brealey & Rhian Gabe & Ann Hopton & Ada Keding & Harriet Lansdown & Sara Perren & David Torgerson & Ian Watt & Hugh MacPherso, 2014. "Cost-Effectiveness Analysis of Acupuncture, Counselling and Usual Care in Treating Patients with Depression: The Results of the ACUDep Trial," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-12, November.
    2. Patricia Gual-Montolio & Irene Jaén & Verónica Martínez-Borba & Diana Castilla & Carlos Suso-Ribera, 2022. "Using Artificial Intelligence to Enhance Ongoing Psychological Interventions for Emotional Problems in Real- or Close to Real-Time: A Systematic Review," IJERPH, MDPI, vol. 19(13), pages 1-21, June.
    3. Paweł Rasmus & Anna Lipert & Krzysztof Pękala & Małgorzata Timler & Elżbieta Kozłowska & Katarzyna Robaczyńska & Tomasz Sobów & Remigiusz Kozłowski & Michał Marczak & Dariusz Timler, 2021. "The Influence of a Psychosocial Rehabilitation Program in a Community Health Setting for Patients with Chronic Mental Disorders," IJERPH, MDPI, vol. 18(8), pages 1-11, April.
    4. van der Wal, C. Natalie & Kok, Robin N., 2019. "Laughter-inducing therapies: Systematic review and meta-analysis," Social Science & Medicine, Elsevier, vol. 232(C), pages 473-488.
    5. David Ekers & Lisa Webster & Annemieke Van Straten & Pim Cuijpers & David Richards & Simon Gilbody, 2014. "Behavioural Activation for Depression; An Update of Meta-Analysis of Effectiveness and Sub Group Analysis," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-11, June.
    6. Lisa Boyd & Emma Baker & Joe Reilly, 2019. "Impact of a progressive stepped care approach in an improving access to psychological therapies service: An observational study," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-16, April.
    7. Furukawa, Chishio, 2019. "Publication Bias under Aggregation Frictions: Theory, Evidence, and a New Correction Method," EconStor Preprints 194798, ZBW - Leibniz Information Centre for Economics.

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