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Flückiger, C., Del Re, A. C., Wampold, B. E., & Horvath, A. O. (2018). The alliance in adult psychotherapy: A meta-analytic synthesis. Psychotherapy. Advance online publication. http://dx.doi.org/10.1037/pst0000172

The therapeutic alliance is one of the most researched concepts in psychotherapy. The alliance, also called the working alliance or therapeutic alliance, consists of the collaborative agreement between patient and therapist on the tasks (what to do) and goals (what to achieve) of their therapeutic work together. Alliance also includes the relational or emotional bond between therapist and patient. It is different from therapist empathy, transference, countertransference, the real relationship and other concepts related to the therapeutic relationship. Researchers and clinicians have known for years about the importance of developing and maintaining an alliance to achieving patient outcomes. The growing research in this area now allows one to see how stable this finding is. Fluckiger and colleagues conducted a meta analysis of 306 studies with over 30,000 patients that assessed the alliance-outcome relationship. The research occurred in naturalistic settings (during regular clinical practice) and in randomized controlled trials. The overall effect size based on 295 independent comparisons was r = .278 (95% CI: .256, .299), indicating a statistically significant medium-sized association accounting for about 8% of treatment outcomes. To put this in perspective, this effect is as large as or larger than the effects of many common medical interventions. The type of therapy made no difference to this finding - the alliance was just as important to CBT as it was to psychodynamic, interpersonal, and emotionally focused therapies. The alliance-outcome correlation was somewhat smaller, though still significant among those with substance-use disorders, but otherwise was consistent for all other disorders tested (depression, anxiety, PTSD, borderline personality disorder). The alliance measure used, who rated the alliance, when it was assessed, and the outcome that was measured tended to have a small or no impact on the results. The alliance-outcome relationship was just as important to everyday clinical practice as it was in randomized controlled trials.

Practice Implications

The alliance-outcome association is highly reliable or stable across a number of therapies, diagnoses, measurements, and study designs. This very large body of research suggests that therapists should: (1) build and maintain an emotional bond, and agreement on tasks and goals with patients throughout therapy; (2) develop the alliance early by focusing on agreement on treatment and goals; (3) address ruptures in the alliance early and immediately; and (4) assess the strength and quality of the alliance regularly throughout treatment from the patient’s perspective using a well-known brief alliance measure.

Cuijpers, P., Driessen, E., Hollon, S. D., van Oppen, P., Barth, J., & Andersson, G. (2012). The efficacy of non-directive supportive therapy for adult depression: a meta-analysis. Clinical psychology review, 32(4), 280-291.

The research evidence indicates that there is very little difference between different types of psychotherapy (CBT, IPT, PDT, EFT, and others) in patient outcomes, especially for depression. Nondirective supportive treatment (NDST) also shows positive outcomes for various disorders. NDST is often used as a “placebo” condition in psychotherapy trials to control for common or non-specific factors. Common factors refer to those aspects that are common to all therapies, but that are not specific to any one therapy (e.g., therapist interpersonal skills, therapeutic alliance, client expectations). NDST does not involve specific therapeutic interventions like cognitive restructuring, transference interpretations, two-chair techniques, etc. In this meta analysis, Cuijpers and colleagues assessed those randomized controlled trials for depression in which specific treatments (e.g., CBT, PDT, IPT, EFT) or no treatment control conditions were directly compared to NDST. By doing so, the authors were able to estimate how much of patient outcomes were attributable to: specific effects of treatments (the difference between a specific intervention and NDST), common effects of treatment (the difference between NDST and no treatment), and extra-therapeutic factors (the effects of no treatment). The meta analysis included 31 studies with over 2500 patients with depression. Twenty-one comparisons included CBT, and the rest included IPT, PDT, or EFT. NDST was significantly less effective than other specific therapies (e.g., CBT, IPT, PDT, or EFT) at post-treatments g = −0.20 (95% CI: −0.32 to −0.08), but the effect was quite small. The difference between NDST and CBT alone (the most researched treatment type) was not statistically significant. Interestingly, when the authors controlled for researcher allegiance (an indication of which treatment was preferred by the researcher), the superior effects of specific treatments over NDST disappeared. NDST was significantly more effective than no-treatment, and the effect was moderate, g=0.58 (95% CI: 0.45–0.72). Pre- to post-treatment change in symptoms in the control condition was statistically significant, g = 0.39 (95% CI: 0.03–0.74), indicating the positive effects of extra-therapeutic factors on depressive symptoms (e.g., events in the patient’s life not related to therapy). Overall, the authors were able to estimate that almost 50% of patient outcomes could be attributed to common factors (therapist interpersonal skills, therapeutic alliance, client expectations, etc.), about 17% was due to specific therapy techniques (cognitive restructuring, two chair techniques, IPT interventions), and about 33% was due to extra-therapeutic factors (e.g., the natural course of depressive symptoms or other events in the patient’s life).

Practical Implications

Factors like therapist interpersonal skills and managing the therapeutic relationship appear to account for most (50%) of why patients with depression get better. The specific interventions based on therapy models like CBT account for relatively less of patient outcomes (17%). The natural course of the disorder and other events in patients’ lives account for about a third of patient improvement. Therapists can learn how to maximize the effects of common factor skills through deliberate practice and training to identify and repair alliance ruptures to help their patients get better.

Razza, L. B., Moffa, A. H., Moreno, M. L., Carvalho, A. F., Padberg, F., Fregni, F., & Brunoni, A. R. (2018). A systematic review and meta-analysis on placebo response to repetitive transcranial magnetic stimulation for depression trials. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 81, 105-113.

Transcranial magnetic stimulation (TMS) is a new treatment for depression thought to modulate brain activity through electromagnetic pulses delivered by a coil placed over the patient’s scalp. A meta analysis shows that TMS may be effective in treating depressive disorders when compared to a placebo control, although only 18.6% of those receiving TMS were no longer depressed at the end of treatment. The placebo control condition usually involves a sham version of TMS in which the coil is placed over the scalp but no magnetic stimulation is applied. In antidepressant trials, the placebo response is quite high such that approximately 40% of patients respond to the placebo condition (in antidepressant trials, the placebo condition includes an identical pill that is inert). In this meta analysis, Razza and colleagues assess the placebo response in TMS. They included only double blind randomized controlled trials (i.e., trials in which both the patient and physician were not aware if the treatment was real or a sham). The authors estimated the placebo response based on pre- to post-sham TMS scores of common measures of depression. The meta analysis included 61 studies of over 1300 patients. The main result showed that sham response was large (g = 0.80; 95%CI = 0.65–0.95). Trials including patients with only one episode of depression or who were not treatment resistant (g =0.67, 95%CI = 0.06–1.28, p= 0.03) had higher placebo responses than those trials in which patients previously had two or more failed antidepressant treatments (g = 0.5, 95%CI = 0.03–0.99, p = 0.048).

Practice Implications

The results of this meta analysis demonstrates a high placebo response in trials testing TMS. This is similar to the high level of placebo response commonly seen in patients in antidepressant medication trials. It appears that psychological factors like attention, instillation of hope, patient expectations of receiving benefit, and perhaps working alliance may account for an important portion of why pharmacological and other medical interventions appear to work for those with depressive disorders. This is particularly true for patients who are receiving treatment for the first time or for whom previous medical treatment was successful.

Podina, I. R., & Fodor, L. A. (2018). Critical review and meta-analysis of multicomponent behavioral e-health interventions for weight loss. Health Psychology, 37(6), 501-515.

Over 35% of Americans are overweight or obese, and this poses significant health-related challenges. Obesity likely contributes to heart disease, Type II diabetes, and some forms of cancer. Also, obesity is often co-morbid with mental health conditions including depression and binge-eating disorder. Practice guidelines list multicomponent behavioural interventions as state of the art treatment for weight loss. These include dietary counselling, increased physical activity, and behavioural methods to support behaviour change. However, such interventions often require direct in-person contact with a health or mental health professional, which can be expensive and create a barrier to accessing treatment for some. An option to increase access is to deliver the multicomponent behavioural intervention by internet or by another electronic format such as DVD. In this meta analysis, Podina and Fodor reviewed 47 randomized controlled studies representing over 1500 participants in which e-health interventions for weight loss in overweight or obese individuals were tested against in-person treatment or a control condition (no treatment or treatment as usual). E-health interventions were more effective than control conditions for weight loss outcomes at post-treatment, g = 0.34 (95% CI [0.24 to 0.44]). Similar results were found at follow-up. However, e-health interventions were significantly less effective than active in-person treatments, g = -0.31 (95% CI [-0.43 to -0.20]) for weight loss in overweight or obese individuals.

Practice Implications

E-health interventions (mostly internet delivered treatment) of multicomponent behavioral treatment for weight loss was more effective than no treatment or treatment as usual. However, e-health was significantly less effective than traditional face to face behavioral interventions to help people reduce their body weight. The authors raised concerns about the use of e-health interventions for weight loss as the first line treatment as the effects were small and the approach was less effective than in-person interventions.

So, M., Yamaguchi, S., Hashimoto, S., Sado, M., Furukawa, T.A., & McCrone, P. (2013). Is computerised CBT really helpful for adult depression?-A meta-analytic re-evaluation of CCBT for adult depression in terms of clinical implementation and methodological validity. BMC Psychiatry, 13, 113. 

Depression is a major cause of disability in the world, and so efforts to improve access to its treatment have been ongoing for several decades. In particular, many researchers and clinicians propose cognitive behavioural therapy (CBT) as an effective treatment with a good evidence-base. There have been many clinical trials showing the efficacy of CBT. In recent years, there have also been attempts to computerize CBT (CCBT) as a self help intervention in order to increase its accessibility for those with depression, and perhaps also to improve its cost effectiveness. In fact, the Increasing Accessibility to Psychotherapy (IAPT) program in the UK provides CCBT as the most common first treatment for depression. However there remain questions about the longer term effectiveness of CCBT to reduce symptoms of depression, its potentially high patient dropout rate (a negative outcome), and its effects on quality of life of those burdened by depression. In this meta analysis, the largest of its kind, So and colleagues assess these issues with regard to CCBT. They reviewed 14 direct comparison randomized controlled trials that provided 16 comparisons of CCBT versus a control condition (wait list or treatment as usual) for adults with depression. At post-treatment, CCBT was more effective than controls in reducing depression −0.48 [95% CI −0.63 to −0.33]. However, at follow up (up to 6 months), the effects of CCBT disappeared −0.05 [95% CI −0.19 to 0.09]. Also improvement in functioning and quality of life were not significantly different between CCBT and control conditions, −0.05 [95% CI −0.31 to 0.22]. The rate of drop out from CCBT (32%) was almost double that of control conditions (17%), RR = 1.68 [95% CI 1.31 to 2.16]. There was also evidence of publication bias (i.e., a tendency for some researchers not to publish non-significant findings), so that the positive post-treatment results in favour of CCBT might be inflated.

Practice Implications

Although CCBT may be touted as a way to increase access to treatment for depression, this meta analysis indicates some concerns about the widespread implementation of CCBT. The effects of CCBT appear to be limited to a short-term reduction of depressive symptoms that may not be sustained in the longer run. There was no appreciable impact of CCBT on quality of life relative to controls, and so CCBT may have a limited impact on the burden of depression. Most troubling was a high drop out rate of 32%. Drop out from CCBT in the IAPT program in the UK is about 50%, and this may be indicative of the actual drop out rate in real world practice.

Gutermann, J., Schwartzkopff, L., & Steil, R. (2017). Meta-analysis of the long-term treatment effects of psychological interventions in youth with PTSD symptoms. Clinical Child and Family Psychology Review, 20, 422-434.

Natural disasters, physical abuse, sexual abuse, war, accidents, loss and severe illness are traumatic events that can occur during childhood and adolescence. These potentially traumatic events are highly prevalent in youth, and approximately 15% of children and adolescents who have been exposed to traumatic events meet the diagnostic criteria for post-traumatic stress disorder (PTSD). Criteria for a diagnosis of PTSD include: intrusive memories of the traumatic event, avoidance, hyperarousal, and negative change in mood or cognitions. PTSD symptoms are also highly stable over time, and so without intervention they do not tend to improve. In this meta-analysis, Gutermann and colleagues assess the effects of psychological treatments for PTSD in youth, with a special emphasis on their long term therapeutic effects. Forty-seven studies of 3767 participants were included in the analyses. Traumas were varied and included childhood abuse, physical abuse, accidents, wars, and natural disasters. About 68% of interventions were CBT-oriented, and 67% were provided in a group therapy format. The uncontrolled pre-treatment to follow-up effect sizes for PTSD symptoms was large for studies with a follow-up period greater than 6 months (N = 30; g = .99, CI .83, 1.16). However, when psychological interventions were compared to treatment as usual or an active control group in a randomized controlled trial, the effects at post-treatment were small (N = 6; g = .38, CI .03–.74), and effects at follow up periods combined were also small (N = 19; g = .38, CI .20, .55).

Practice Implications

Psychological interventions resulted large effects to reduce PTSD symptoms from pre-treatment to follow-up from treatment. However, compared to treatment as usual or other active control groups, psychological treatments resulted in small effects in the longer term. There were too few studies to assess different treatment approaches, age groups, and modalities (group vs individual). Nevertheless, the results provide support for the efficacy of psychological treatments for PTSD in youth with modest effects at follow-up.

Author email: Gutermann@psych.uni-frankfurt.de