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Published Online: 1 October 2018

Insight Into Insight in Psychotherapy

There have been more than 5,000 randomized controlled trials of psychotherapy. Most meta-analyses conclude that psychotherapy is effective for a range of disorders, and different modalities of therapy are equally effective. However, studies with the strongest research designs indicate that psychotherapy may be considerably less effective than we tend to believe (1). In fact, different psychotherapies may be equally ineffective. Too many patients fail to respond or continue to experience residual symptoms after treatment termination. All treatments for mental disorders have a wide margin for improvement.
Mental health professionals still believe that psychotherapy can be improved by theoretical discussion, logic, and expert opinion (2). This may be one of the reasons for the existence of several hundred “brand name” psychotherapies. However, in order to improve clinical theories, treatment interventions, and training, we need to identify how psychotherapy works—the mechanisms of change underlying the treatment effects (3). It is only with the specification of mediators of change, whether psychological (3) or biological (4), that the field will move forward. Many mechanisms may have an impact in the complex process of psychotherapy, but insight is regarded as one of the most important mechanisms of change, not only in dynamic psychotherapy (5) but also, increasingly, in cognitive behavioral therapy (6) and experiential psychotherapy (7).
In this regard, the study reported in this issue of the Journal by Jennissen and colleagues (8) is timely. This is the first meta-analysis of studies with data on the insight-outcome correlation. The meta-analysis is generally well done, with all of the elements that one would want to see—checks for heterogeneity, study quality, weighting, risk of publication bias. The authors screened more than 12,000 abstracts, assessed 261 full-text papers, and ended up with 22 studies (with 23 effect sizes). Their definition of insight is broad, but it is mainstream and reasonably accurate. They define it as “patients’ understanding of associations between past and present experiences, typical relationship patterns, and the relation between interpersonal challenges, emotional experience, and psychological symptoms.” The eligibility criteria used are sensible. Although determining which studies to include in a meta-analysis is a notoriously difficult gray area, study selection seems carefully implemented. Data extraction also seems reasonable, given the design limitations in many (most?) of these studies. Two authors independently assessed study quality (risk of bias), and interrater reliability on these assessments was high. Risk of bias varied from high to low among the studies. Patients were mostly diagnosed with mood, anxiety, somatoform, eating, and cluster C personality disorders. Twelve treatments were psychodynamic and 11 were other treatments, such as cognitive-behavioral, emotion-focused, client-centered, and interpersonal psychotherapy. The studies used 27 different outcome measures and 18 different insight measures. Most measures of insight were clinician rated. Tests of heterogeneity indicated significant variation in effect sizes and a moderate to high degree of “true” heterogeneity.
This meta-analysis has limitations, largely because of the nature of the studies included. As outlined above, there was considerable variety in psychopathology, and treatments varied in theoretical orientation. The studies employed various designs to associate insight and outcome. None of the studies had a preregistered study protocol, and researcher allegiance effects could not be evaluated. When a meta-analysis includes different treatments for a range of psychiatric disorders, a number of different outcome measures, and different measurement designs, the otherwise sensible approach of lumping data together to address the problem of small samples may develop into a progressively messy endeavor, confounding the clinical relevance of the findings. To offset some of these validity threats, the authors commendably addressed many design issues and described relevant details of what was actually tested in each study. In this way, readers may be helped to draw their own conclusions regarding the validity of the findings.
Jennissen et al. report a consistent pattern of associations between insight and outcome across disorders and therapy types. There was a significant moderate relationship (r=0.31) between insight and treatment outcome. The study was not powered to detect moderators of the insight-outcomes associations. Overall, the findings constitute preliminary support for the importance of insight in different forms of psychotherapy.
Jennissen and colleagues’ choice to include many different diagnoses and different treatments in their meta-analysis may reflect current developments in our field. Given the shared brain circuitry, genes found across disorders, medications used across disorders, and the reality of considerable comorbidity, there is growing recognition that only a few domains of dysfunction may extend across the many DSM diagnostic categories. Caspi et al. (9) have argued that psychopathology could be explained with one general psychopathology dimension. The Research Domain Criteria initiative of the National Institute of Mental Health focuses on only a few domains of dysfunction, social processes being one of them. Transdiagnostic approaches and unified trans-theoretical treatment protocols may improve future research.
Jennissen and colleagues’ meta-analysis estimated a moderate association between insight and psychotherapy outcome across diagnostic categories and different schools of psychotherapy. Its magnitude is comparable to effect sizes of established treatment factors, such as therapeutic alliance. A large number of studies have documented a moderate but consistent relationship between therapeutic alliance and outcome, across different treatments and diagnoses (10). Brain changes, too, mainly in the prefrontal cortex, cingulate gyrus, and amygdala, are associated with symptom improvement across different diagnoses and treatments (11). However, an association with outcome is necessary but not sufficient. Just like insight and alliance, brain changes may be a consequence of symptom change or a proxy for some other therapeutic change processes. Further longitudinal research with study designs that include most or all steps in mediation research is necessary to establish insight, or alliance, or brain changes as mechanisms for treatment outcome. In our own research into the effect of insight on the outcome of psychotherapy, my colleagues and I found that use of a specific technique in dynamic psychotherapy (transference work) increased gain of insight during therapy substantially, with a subsequent improvement in outcome (12).
The crucial questions are: Which therapist interventions and treatment processes increase insight, or strengthen the alliance, or influence the desired brain changes? Nonetheless, this study is a first important step to establishing insight as a possible mechanism of change in psychotherapy and may serve to challenge investigators to conduct more rigorous evaluations of the insight-outcome relationship to advance knowledge.

References

1.
Cuijpers P, Karyotaki E, Reijnders M, et al: Was Eysenck right after all? A reassessment of the effects of psychotherapy for adult depression. Epidemiol Psychiatr Sci (Epub ahead of print, Feb 28, 2018)
2.
Gabbard GO, Westen D: Rethinking therapeutic action. Int J Psychoanal 2003; 84:823–841
3.
Kazdin AE: Mediators and mechanisms of change in psychotherapy research. Annu Rev Clin Psychol 2007; 3:1–27
4.
Insel TR, Gogtay N: National Institute of Mental Health clinical trials: new opportunities, new expectations. JAMA Psychiatry 2014; 71:745–746
5.
Crits-Christoph P, Connolly Gibbons MB: Psychotherapy process-outcome research, in Bergin and Garfield’s Handbook of Psychotherapy and Behavior Change. Edited by Lambert M. Hoboken, NJ, Wiley, 2004, pp 298–340
6.
Thoma NC, McKay D: Working With Emotion in Cognitive-Behavioral Therapy. New York, Guilford, 2015
7.
Pos AE, Greenberg LS, Warwar SH: Testing a model of change in the experiential treatment of depression. J Consult Clin Psychol 2009; 77:1055–1066
8.
Jennissen S, Huber J, Ehrenthal JC, et al: Association between insight and outcome of psychotherapy: systematic review and meta-analysis. Am J Psychiatry 2018; 175:961–969
9.
Caspi A, Houts RM, Belsky DW, et al: The p factor: one general psychopathology factor in the structure of psychiatric disorders? Clin Psychol Sci 2014; 2:119–137
10.
Horvath AO, Del Re AC, Flückiger C, et al: Alliance in individual psychotherapy. Psychotherapy (Chic) 2011; 48:9–16
11.
Abbass AA, Nowoweiski SJ, Bernier D, et al: Review of psychodynamic psychotherapy neuroimaging studies. Psychother Psychosom 2014; 83:142–147
12.
Høglend P: Exploration of the patient-therapist relationship in psychotherapy. Am J Psychiatry 2014; 171:1056–1066

Information & Authors

Information

Published In

Go to American Journal of Psychiatry
Go to American Journal of Psychiatry
American Journal of Psychiatry
Pages: 923 - 924
PubMed: 30269544

History

Accepted: 31 May 2018
Published online: 1 October 2018
Published in print: October 01, 2018

Keywords

  1. Psychotherapy
  2. Insight
  3. Meta-Analysis

Authors

Affiliations

Per Høglend, M.D., Ph.D. [email protected]
From the Department of Psychiatry, University of Oslo, Oslo.

Notes

Address correspondence to Dr. Høglend ([email protected]).

Funding Information

The author reports no financial relationships with commercial interests.

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