Blog
The Psychotherapy Practice Research Network (PPRNet) blog began in 2013 in response to psychotherapy clinicians, researchers, and educators who expressed interest in receiving regular information about current practice-oriented psychotherapy research. It offers a monthly summary of two or three published psychotherapy research articles. Each summary is authored by Dr. Tasca and highlights practice implications of selected articles. Past blogs are available in the archives. This content is only available in English.
This month...
…I blog about psychotherapy for borderline personality disorder, capacity to metnalize and therapy resistant depression, and negative effects of psychotherapy
Type of Research
Topics
- ALL Topics (clear)
- Adherance
- Alliance and Therapeutic Relationship
- Anxiety Disorders
- Attachment
- Attendance, Attrition, and Drop-Out
- Client Factors
- Client Preferences
- Cognitive Therapy (CT) and Cognitive-Behavioural Therapy (CBT)
- Combination Therapy
- Common Factors
- Cost-effectiveness
- Depression and Depressive Symptoms
- Efficacy of Treatments
- Empathy
- Feedback and Progress Monitoring
- Group Psychotherapy
- Illness and Medical Comorbidities
- Interpersonal Psychotherapy (IPT)
- Long-term Outcomes
- Medications/Pharmacotherapy
- Miscellaneous
- Neuroscience and Brain
- Outcomes and Deterioration
- Personality Disorders
- Placebo Effect
- Practice-Based Research and Practice Research Networks
- Psychodynamic Therapy (PDT)
- Resistance and Reactance
- Self-Reflection and Awareness
- Suicide and Crisis Intervention
- Termination
- Therapist Factors
- Training
- Transference and Countertransference
- Trauma and/or PTSD
- Treatment Length and Frequency
October 2016
Clients’ Experiential Depth in Therapy Predicts Better Outcomes
Pascual-Leone, A. & Yeryomenko, N. (2016). The client “experiencing” scale as a predictor of treatment outcomes: A meta-analysis on psychotherapy process, Psychotherapy Research, DOI: 10.1080/10503307.2016.1152409
A key issue in existential-humanistic psychotherapy is the degree to which therapy encourages clients to explore new feelings and meanings in relation to the self. This is often called ‘experiential depth’ or simply ‘experiencing’. Carl Roger highlighted the need for clients to increase their awareness, accept their feelings, and use their feelings as information to further explore and understand themselves. The notion of ‘depth of experiencing’ refers to the degree to which clients engage and explore their feelings moment by moment in therapy to increase personal meaning-making. One way of assessing experiential depth is with the Client Experiencing Scale. Low scores on the scale indicate unengaged levels of experiencing, in which clients recount events in an emotionally neutral or disengaged manner. High scores indicate more introspection as clients begin to process their experiences and identify feelings that lead to creating new meanings that contribute to resolving their problems. In this meta analysis of the Client Experiencing Scale, Pascual-Leone and Yeryomenko systematically reviewed the research literature and found 10 studies of 406 clients that evaluated the scale`s association with client outcomes. The therapies in the meta analysis included experiential-humanistic approaches, CBT, and interpersonal psychotherapy. Overall, they found a moderate association (r = .25; 95% CI: .16, .33) between higher client experiencing and better treatment outcomes. The association was similar for different therapeutic orientations and stages of therapy. On average, client depth of experiencing tended to increase from the early to later stages of treatment.
Practice Implications
Compared to those who did not engage with their experiences in a meaningful way, clients who were internally focused, engaged in exploration, referred to their emotions, and who reflected on their experiences had better outcomes. Experiential depth allowed clients to create new meanings to resolve personal problems. Therapist interventions that deliberately point the client to a deeper level of experiencing, are likely to result in clients following suit and deepen their own process.
The Quality of Psychotherapy Research Affects The Size of Treatment Effects for CBT
Cuijpers, P., Cristea, I.A., Karyotaki, E., Reijnders, M., Huibers, M.J.J. (2016). How effective are cognitive behavior therapies for major depression and anxiety disorders? A meta-analytic update of the evidence. World Psychiatry, 15, 245-258.
You might think that an esoteric topic like study quality should not really be of interest or concern to clinicians – but it is an important topic with practice implications. In this meta analysis Pim Cuijpers and his research group updated the meta analytic evidence for the efficacy of cognitive behavioral therapy (CBT) for a variety of disorders (major depressive disorder [MDD], generalized anxiety disorder [GAD], panic disorder [PAD], and social anxiety disorder [SAD]). The important thing about meta analyses is that the method combines the effect sizes from all relevant studies into a single metric – an average effect size. These average effect sizes are much more reliable than findings from any one single study. In fact, whenever possible, clinical decision-making should be based on a meta analysis and systematic review and not on a single study. Meta analyses also allow one to give more weight to those studies that have larger sample sizes, and that employ better methodologies. Even more, meta analytic techniques allow one to adjust the averaged effect size by taking into account publication bias (i.e., an indication of the effects from studies that might have been completed but were never published, likely because they had unfavorable findings). Usually, average effect sizes are lower when they are adjusted for study quality and publication bias. Cuijpers and colleagues’ meta analyses found that the unadjusted average effects of CBT were large for each of the disorders (ranging from g = .75 to .88 [confidence intervals not reported]). However adjusting for publication bias reduced the effects to medium-sized for MDD (g = .65) and GAD (g = .59). Only 17.4% of the individual studies of CBT were considered to be of “high quality” (i.e., studies that use the best methodology to reduce bias, like random allocation, blinding, using all the available data, etc.). After adjusting for study quality, the effects of CBT for SAD (g = .61) and PAD (g = .76) were also reduced to medium-sized. Not surprisingly, the effects of CBT were largest when the treatment was compared to a wait-list no-treatment control group. The effects were small to moderate when CBT was compared to treatment as usual or to a placebo.
Practice Implications
Even when adjusting for study quality and publication bias, the average effects of CBT were medium-sized for a variety of common disorders compared to control conditions. Unfortunately, the quality of the studies was not high for most trials, reducing the effect sizes and lowering our confidence in the efficacy of the treatment. Nevertheless, the findings of this meta analysis suggest that CBT will likely have moderate effects for the average patient with MDD, SAD, PAD, and GAD.
September 2016
Cognitive Therapy and Dynamic Psychotherapy for Major Depression in a Community Setting
Connolly Gibbons, M.B., Gallop, R., Thompson, D., Luther, D., Crits-Christoph, K., Jacobs, J., Yin, S., & Crits-Christoph, P. (2016). Comparative effectiveness of cognitive therapy and dynamic psychotherapy for major depressive disorder in a community mental health setting: A randomized clinical noninferiority trial. JAMA Psychiatry. doi:10.1001/jamapsychiatry.2016.1720.
Dynamic psychotherapy is widely practiced in the community, but there remain very few trials assessing its effectiveness. Dynamic therapy targets individuals’ problematic relationship conflicts. Cognitive therapy on the other hand has been established as effective for major depression in a number of controlled trials. This study by Connolly Gibbons and colleagues was designed to test if dynamic therapy was equivalent (not inferior) to cognitive therapy in treating major depressive disorder in a community setting. There are two important and novel aspects to this research. First, the study takes place with community-based therapists in a community mental health setting. This means that the usual critique that randomized controlled trials do not speak to what therapists do with real patients in everyday practice is addressed in this study. Second, the sample size is large enough and the study is sufficiently powered so that one can make conclusions about non-inferiority (statistics geeks will know that making a hypothesis of non-inferiority, equivalence, or no difference requires enough power and a large enough sample size – something that is quite rare in psychotherapy trials). Twenty therapists who worked in a community mental health center were trained by experts in dynamic therapy or cognitive therapy. The therapists treated 237 adults with major depressive disorder with 16 sessions of dynamic or cognitive therapy. Therapists were followed the treatment manuals and they were judged by independent raters as competent in delivering the treatment. Patients on average got significantly better regarding depressive symptoms (d = .55 to .65), and there were no significant differences in the rate of improvement between dynamic and cognitive therapy patients (d = .11). There were also no differences between treatments on several measures of quality of life. A noteworthy finding was that about 80% of patients continued to have some depressive symptoms by the end of treatment even though they improved.
Practice Implications
This study adds to research indicating that short-term dynamic psychotherapy is as effective as short term cognitive therapy for treating major depression. The study also indicates that the treatments under intensive supervision and training can be provided effectively by community therapists in real world settings. That 80% of patients continued to have some depressive symptoms suggests that the short term nature of the therapies may not have represented a large enough dose of treatment for most patients.
July 2016
Long-Term Efficacy of Psychological Therapies for Irritable Bowel Syndrome
Laird, K.T., Tanner-Smith, E.E., Russell, A.C., Hollon, S.D., & Walker, L.S. (2016). Short-term and long-term efficacy of psychological therapies for irritable bowel syndrome: A systematic review and meta-analysis. Clinical Gastroenterology and Hepatology.
Irritable bowel syndrome (IBS) is a gastrointestinal (GI) disorder that affects 5% to 16% of the population. People with IBS have reduced quality of life similar to those with heart disease, heart failure, and diabetes. Previous meta analyses indicated that psychological therapies are just as effective as antidepressant medications immediately after treatment for improving symptoms of IBS. However, whether psychological therapies have longer lasting effects is unknown. It is important to patients and providers to know the longer term effects of psychological treatments for IBS because the disorder has a fluctuating course, and so symptoms may reappear after treatment is completed. In their meta analysis, Laird and colleagues reviewed 41 studies that recruited almost 2,300 adult patients. [A note about meta analysis: Meta analysis combines the standardized effect sizes (d) across many studies to estimate an average effect size. This means that meta analyses are much more reliable than any single study, and when possible they should be the basis for practice recommendations]. Psychological therapies for IBS often included cognitive behavioral therapy (CBT), but also included relaxation therapy, mindfulness, hypnosis, behavioral treatment, and psychodynamic therapies. Control conditions often were: supportive therapy, education, fake treatment for biofeedback or hypnosis, online discussion groups, treatment as usual, or wait-list controls. Psychological therapies were more effective than control conditions immediately post-treatment in improving GI symptoms, and the effects were moderately large (d = .69). Psychological therapies remained more effective than control conditions up to 6 months post-treatment (d = .76), and from 6 months to 1 year post-treatment (d = .73). CBT and other treatments (e.g., relaxation, hypnosis) were equally effective; and individual and group delivered treatments were no different in their efficacy. The number of sessions, duration of sessions, and frequency of sessions did not impact the efficacy of psychological interventions.
Practice Implications
Determining the longer term efficacy of psychological treatment for IBS is important because the symptoms tend to be recurrent and sometimes are chronic. Psychological treatments reduce GI symptoms in adults with IBS, and the effects appear to be long lasting – at least up to 1 year post-treatment. The average individual who received psychotherapy was better off than 75% of control condition participants.
February 2016
How Effective is Computerized CBT in Treating Depression in Primary Care?
Gilbody, S., Littlewood, E., Hewitt, C., Brierley, Tharmanathan, P....White, D. (2015). Computerised cognitive behaviour therapy (cCBT) as treatment for depression in primary care (REEACT trial): Large scale pragmatic randomised controlled trial. BMJ, 351, h5627. Doi: 10.1136/bmj.h5627.
Depression is one of the most common reasons why people see family physicians for consultation. The personal and economic burden of depression is high, such that depression is the leading cause of disability worldwide. Effective treatments for depression include antidepressant medications and psychotherapy. Cognitive behavioral therapy (CBT) is an effective treatment for depression, but is not always accessible for those who live in remote areas, and for those who cannot easily find or afford a trained psychotherapist. One solution, touted by some is to provide computerized CBT (cCBT) via internet or CD. In fact, the National Institute for Health and Care Excellence (NICE) in the UK recommend cCBT programs as a first step of care for depression. Commercially available cCBT programs include “Beating the Blues”, and freely available programs include “MoodGYM”. Previous research shows a large effect of cCBT for reducing depressive symptoms, but non-adherence (i.e., not completing the modules) and patient dropout rates tend to be high. Another issue is that most of the studies of cCBT were conducted by the developers of the programs, and so there may be researcher allegiance effects that could bias the findings. In this large trial, Gilbody and colleagues asked: “How effective is supported computerized cognitive behavior therapy (cCBT) when it is offered in addition to usual primary care in adults with depression?” The authors recruited 691 depressed patients seen in primary care with a general practitioner (GP) in the UK. All participants had access to a computer and high speed internet. The participants were randomly assigned to receive: (1) usual GP care plus 8 50-minute sessions of Beating the Blues, or (2) usual GP care plus 6 weekly modules of MoodGYM, or (3) only usual GP care. Usual GP care included providing antidepressants, counselling, or brief psychotherapy which are all offered as part of the UK National Health Service. Computerized CBT was supported by weekly telephone calls followed by reminder emails to encourage participants to access, use, and complete the programs. At 4 months after the start of treatment, about half of all participants were no longer depressed, and there were no differences between the three study conditions on any of the outcomes (e.g., depression, quality of life). The results were consistent up to 2 years post treatment. However, only about 17% of those receiving one of the cCBT treatments completed all of the sessions. The average number of sessions completed of cCBT was very low (Beating the Blues = 2 out of 8 sessions; MoodGYM = 1 out of 6 sessions). The authors concluded that there was no significant benefit of adding supported cCBT to usual GP care.
Practice Implications
Adding cCBT to usual GP care did not provide added benefit to depressed patients. Low adherence and low engagement with cCBT likely reduced the utility of computerized delivery of therapy. It is possible that more intensively supported cCBT (i.e., with weekly face to face contacts) might have improved the added value of cCBT, but would also have reduced the practically utility and accessibility of cCBT. Those who are depressed might have difficulty with summoning the energy and concentration necessary to repeatedly log on to computers and engage in computerized or internet based treatment.
January 2016
Attrition from Cognitive Behavioral Therapy
Fernandez, E., Salem, D., Swift, J. K., & Ramtahal, N. (2015, August 24). Meta-analysis of dropout from cognitive behavioral therapy: Magnitude, timing, and moderators. Journal of Consulting and Clinical Psychology. Advance online publication.
“Dropping out” refers to clients who discontinue therapy prematurely and against professional advice. In contrast, “refusing” refers to clients who do not start a therapy that is made available to them. Together, both dropping out and refusing are referred to as “attrition” from therapy. Attrition is a problem for clinicians because of loss of revenue and time, and a problem for clients because their mental health needs remain unmet. In a previous meta analysis that included 669 studies, Swift and Greenberg (2012) reported that the average drop out rate across all therapies was 19.7%. In this meta analysis, Fernandez and colleagues looked specifically at drop outs and refusers in cognitive behavioral therapy (CBT). The authors reviewed 115 studies that reported drop outs, 36 of which also reported on the number of participants who refused treatment before starting. The average percent of patients who refused CBT prior to starting treatment was 15.9%, and the average percent of patients who dropped out after starting CBT was 26.2%. So the total average attrition rate was 42.1%. Compared to any other disorder, patients with depression were significantly more likely to refuse CBT (21.6%) or to drop out (36.4%). It is possible that depressed patients have a harder time summoning the energy to participate in therapy, and experience lower hope, greater social withdrawal, and lower motivation once they initiate CBT. For those receiving e-therapies (e.g., internet, phone, and CD-based treatments), pre-treatment refusal rates were 10% to 15% higher than individual or group CBT, and drop outs from e-therapies were 10% higher compared to individual or group CBT. Those offered e-therapy might be ambivalent about its utility, the therapeutic alliance might be limited, and they might have a lower sense of engagement in the therapeutic process. Finally, a greater number of planned therapy sessions was related to lower attrition rates. Perhaps the promise of more sessions raised clients’ hopes of achieving better outcomes.
Practice Implications
These findings suggest that engaging and encouraging clients to participate in the therapy may have to start even before therapy begins. This may involve enhancing readiness by means of motivational interviewing, for example. Clients who are depressed are particularly likely to refuse treatment or drop out, and so clinicians must pay particular attention to the level of motivation and engagement of depressed clients. Although e-therapies are promising in that they may allow a therapist or agency to reach more people including those who live in remote areas, the attrition rate of e-therapies may be unacceptably high. Attrition may lead to demoralization and lowered expectations for treatment among these patients, which may negatively impact future treatment. Perhaps e-therapies should not be considered as a first-line treatment for those who can easily access individual or group therapy. Alternatively, the high attrition rates of e-therapies may be reduced by supplementing the intervention with some in-person therapy sessions to enhance engagement and a therapeutic alliance.