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 the treatment of depression, the effects of role induction in psychotherapy, and negative experiences in psychotherapy from clients’ perspective.
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
December 2015
Are Therapist Adherence and Competence to a Treatment Manual Related to Patient Outcomes?
The Great Psychotherapy Debate: Since in April, 2015 I review parts of The Great Psychotherapy Debate (Wampold & Imel, 2015) in the PPRNet Blog. This is the second edition of a landmark, and sometimes controversial, book that surveys the evidence for what makes psychotherapy work. You can view parts of the book in Google Books.
The conduct of psychotherapy trials almost always requires that therapists be adherent and competent in delivering a manualized therapy intervention. Treatment adherence usually refers to the extent to which a therapist used the intervention prescribed by a treatment manual. Therapist competence refers specifically to a therapist’s skill in delivering the therapy. So “competence” in the context of psychotherapy research typically refers only to performing a certain type of treatment. Wampold and Imel argue that these definitions are consistent with a Medical Model of psychotherapy that emphasizes delivering specific active ingredients of a treatment. The Contextual Model of psychotherapy, on the other hand might define a therapist as competent to the extent that the therapist is interpersonally skilled, empathic, and able to engage clients in the actions of the therapy. Wampold and Imel report on a meta analysis of 28 studies conducted by Webb and colleagues (2010) who found a small and non-significant relationship between therapist adherence and patient outcomes (r = .02), and a small and non-significant relationship between therapist competence and patient outcomes (r = .07). Type of treatment (e.g., CBT, IPT, dynamic) did not affect these associations – in other words adherence and competence were not more important to CBT than to other treatments. However, competence seemed to be more important for the treatment of depression (r = .28). Perhaps depression responds better to specific techniques. The finding that competence was generally not related to outcomes was surprising, however generally competence is narrowly defined as how well a therapist delivered the treatment not how well the therapist was able to establish a therapeutic context. Previous researchers concluded that when clients liked working with a therapist, clients got better, and therapists were rated as more competent as a result. A number of studies appear to indicate that therapist competence is really a function of the client’s characteristics not to what the therapist does. For example, clients with more severe personality problems could make a therapist appear less competent, and these clients may have poorer outcomes. If this is the case, it would create a paradoxical situation in which therapists’ appearance of competence (i.e., ability to deliver a manualized intervention well) is largely determined by the client and not by the therapist.
Practice Implications
In contrast to the findings about adherence and competence, the therapeutic alliance is robustly related to patient outcomes. Also in contrast, the size of the alliance-outcome relationship is almost entirely due to the skills of the therapist, not the client’s characteristics. In other words, therapist competence is not a matter of whether they can do a good job of following a manual, but rather therapist competence is likely a matter of creating the right conditions (i.e., interpersonal skill, alliance, empathy, etc.) for delivering evidence-based interventions by which many clients improve. However, some therapists are better at these facilitative interpersonal skills than others.
November 2015
Does Frequency of Sessions Affect Patient Outcomes?
Erekson, D.M., Lambert, M.J., & Egget, D.L. (2015). The relationship between session frequency and psychotherapy outcome in a naturalistic setting. Journal of Consulting and Clinical Psychology.
The dose-response model of psychotherapy suggests that a single session is like a “dose” of therapy, and that each session adds to a cumulative response by the client. For example, research indicates that between 13 and 18 sessions are required for 50% of patients to improve significantly, but with diminishing returns for clients after 18 sessions. In this very large study in a naturalistic setting, Erekson and colleagues studied the question of the effects of the “dose” or quantity of therapy a little differently. What if the spacing or frequency of sessions rather than the total number of sessions was important to patient outcomes? That is, if psychotherapy reinforces adaptive behaviors, then less learning might occur if time between sessions increases. With greater time between sessions clients may miss timely support from a therapist, and the therapeutic alliance may not be as solid. Erekson examined the impact of session frequency in a very large sample of university students (N = 21,488) seen by therapists (N = 303) for individual therapy lasting about 50 minutes per session. Clients typically received between 6 and 21 weeks of therapy. The data were collected at a counselling center over a 17-year period. Therapist orientations included CBT, psychodynamic, existential, and integrative. Patient outcomes were measured after each session with a reliable measure that allows one to evaluate if a client recovered from symptoms, reliably improved but did not recover, or reliably deteriorated. The authors found that compared to less frequent sessions (approximately every 2 weeks), more frequent sessions (approximately weekly) was associated with faster improvement and faster recovery. The statistical models predicted that 50% of individuals being seen weekly would reliably improve in 8 sessions, whereas 50% those seen every 2 weeks would reliably improve in 12 sessions. That is, clients seen every two weeks required 50% more sessions to achieve the same level of improvement as clients seen every week.
Practice Implications
Clients that are seen weekly may have a better therapeutic experience and develop a better therapeutic alliance with their therapists, which may in turn result in faster improvements. More frequent meetings may suggest to clients that their needs are important to the therapist. Institutions may have the opinion that lower session frequency is a way of saving resources, but in the end patients seen less frequently may require more therapy to achieve outcomes at the same rate as patients seen more frequently. Higher frequency of sessions may increase the efficiency of the psychotherapy and possibly reduce the amount of resources invested by the institution to improve patient mental health outcomes.
Does Duration of Therapy Affect Patient Outcomes?
Stiles, W.B., Barkham, M., & Wheeler, S. (2015). Duration of psychological therapy: Relation to recover and improvement rates in UK routine practice. British Journal of Psychiatry, 207, 115-122.
In this very large study from the UK National Health Service (NHS), Stiles and colleagues assessed whether more therapy is better. That is, do people continue to get better with more sessions or do patients reach a certain level of improvement and terminate therapy regardless of number of sessions. The “dose-effect model” of psychotherapy suggests that patients continue to improve with more sessions, although the rate of improvement slows down after 18 sessions. However, large naturalistic studies from the UK health system show that patients have similar rates of recovery regardless of the number of sessions they attend (i.e., up to 20 sessions). These findings suggest that patient improvement may follow a good-enough or “responsive regulation model” of improvement, in which patients responsively regulate the number of sessions that they need. This could have implications for policies regarding how many sessions are prescribed to patients. In this study, Stiles and colleagues drew data from the NHS data base of over 26,000 adult patients who were seen by 1,450 therapists. These were patients who provided enough reliable outcome data, who attended 40 or fewer sessions, and who had a planned ending. Many patients had multiple problems including anxiety, depression, bereavement, and trauma and abuse. Patients who were selected for the study had initial symptom scores in the clinical range. The most common therapy approaches included integrative, psychodynamic, CBT, and supportive. Patient “recovery” was defined as no longer scoring in the clinical range at the end of therapy. Patient “improvement” was defined as a reliable drop in symptom scores on a psychometric measure. Patients received an average of 8.3 sessions, 60% recovered, and an additional 19% improved but did not recover. Rates of reliable improvement were negatively correlated (r = -.58) with number of sessions, and the effect was large. That is, patients who stayed in therapy longer had lower rates of recovery. These patients were more symptomatic at the outset.
Practical Implications
The results of this very large naturalistic study suggest that therapists and clients should regularly monitor improvement and adjust the treatment duration based on whether clients improve to a satisfactory level. The authors refer to this as “responsive regulation” of treatment duration. In practice, this means that therapists and clients end treatment when patients have improved to a “good-enough” level, which is likely balanced against costs and alternatives. These findings should encourage therapists and agencies to shift their attention away from prescribing a pre-specified length of treatment at the beginning of therapy towards evaluating on an ongoing basis what constitutes good-enough gains for each client.
October 2015
Client Expectations Affect Their Outcomes
The Great Psychotherapy Debate: Since in April, 2015 I review parts of The Great Psychotherapy Debate (Wampold & Imel, 2015) in the PPRNet Blog. This is the second edition of a landmark, and sometimes controversial, book that surveys the evidence for what makes psychotherapy work. You can view parts of the book in Google Books.
Wampold, B.E. & Imel, Z.E. (2015). The great psychotherapy debate: The evidence for what makes psychotherapy work (2nd edition). New York: Routledge.
In this part of the book, Wampold and Imel discuss the importance of client expectations on psychotherapy outcomes. In particular, they equate client expectations with the placebo effect. In the July, 2015 PPRNet blog, I discussed Wampold and Imel’s distinction between the Contextual Model of psychotherapy and the Medical Model of psychotherapy. One pathway of the Contextual Model indicates that patients who accept an explanation for their disorder and who agree with therapists about therapy interventions, experience expectations that have a powerful impact on patients’ emotions and cognitions. The placebo effect has long been known to improve patients’ response to medical interventions. The placebo effect is defined as the difference between a supposedly inert event or medication and the natural course of the disorder. By contrast, the specific effect of an intervention or medication (e.g., an antidepressant) is defined as the difference between the medication and the placebo (i.e., the effect of a medication over and above the effect of a placebo). In one important meta analysis, the placebo effect accounted for about 68% of the antidepressants’ impact on depression scores. In other words, the placebo effect (i.e., the expectation of receiving help) has a powerful impact on depression. Generating an expectation of improvement (“this pill is an antidepressant that will reduce your depression”) involves: (1) providing a plausible explanation for the disorder (“depression is biochemical imbalance, and this pill [actually an inert placebo] will help”), and (2) having a relationship with an empathic provider. Client expectations of improvement result in mental health outcomes that approach the effects of standard medical treatment for depression. In psychotherapy, creating expectations about the effectiveness of the intervention, providing an explanation of the disorder based on psychological and biological theories, and agreeing on the tasks and goals of therapy are an integral part of the treatment. In other words, the placebo response is part of what makes psychotherapy work, and good therapists capitalize on its effects.
Practice Implications
Patient expectations about the effectiveness of the therapy, their agreement with the therapist on the tasks and goals of therapy, and the therapist’s empathy toward the patient are key aspects that will increase the effectiveness of a therapeutic intervention. The explanation of the disorder and the treatment approach are embedded in psychological theories that typically underpin evidence-based psychotherapies.
Clients Change at Different Rates
Owen, J., Adelson, J., Budge, S., Wampold, B., Kopta, M., Minami, T., & Miller, S. (2015). Trajectories of change in psychotherapy. Journal of Clinical Psychology, 71(9), 817–827.
Knowing the rate, or the trajectory, or the shape of client change across sessions of therapy can inform our understanding of how patients change, our policies of how many sessions to provide clients, and our clinical decisions if clients are no longer improving. The most popular models of client change across sessions include the “dose-effect model” and the “good-enough level model”. The dose-effect suggests that the more therapy patients receive the more they improve but, at a certain point, more sessions result in diminishing returns. In the August, 2013 PPRNet blog, I reviewed a chapter suggesting that 17% to 50% partially improve after about 7 sessions, and 50% patients fully recover after receiving about 21 sessions of therapy. Dose effect models might encourage some agencies to provide only the average number of sessions so that most patients will improve. The good-enough level model, on the other hand suggests that patients stay in therapy for varying lengths of time, and the number of sessions is determined by the point at which they feel better. In this study by Owen and colleagues, the authors take a different approach by looking at the patterns or trajectories of change that represent how and at what rate patients improve over time. In this very large study, they gathered session-by-session outcome data for over 10,000 clients seen at 47 treatment centres by over 500 different therapists. Client presenting problems and therapy orientations varied. Owen and colleagues identified 3 classes of patient change trajectories by using advanced statistical modeling of general distress outcomes across 5 to 25 sessions of therapy (average = 9.4 sessions). The largest class, representing 75% of clients, typified those who rapidly improved to session 5 and whose improvement plateaued to session 11, after which they improved again. This was called the “early and late change” class. The second largest class of patients, representing almost 20% of the sample, showed consistent linear change across the sessions. This was called the “slow and steady change” class. The third class of clients, representing about 5% of the sample, showed an initial decline in functioning up to session 5, followed by a steady improvement up to session 9, and then a plateau in improvement after session 9. This was called the “got worse before they got better” class. This last group of clients had the most severe symptoms at the outset.
Practice Implications
This study indicates that one size does not fit all when it comes to how rapidly and in what manner patients change. “Early and late change” patients improve early on and then show another round of improvement later on in therapy. “Slow and steady” change patients show mild but consistent improvement across sessions of therapy. And those whose symptoms are more severe at the outset may “get worse before they get better”. This means that it may not be feasible to set an average fixed number of sessions for all patients, but rather therapists and agencies must rely on indices of reliable or good-enough change to determine optimal therapy length for each client. For example, “early and late change” patients may be working on different issues at different stages of therapy. Whereas clients who “show slow and steady” change may need to be in therapy longer before they realize sufficient improvement. For those patients with more severe symptoms who “get worse before they get better”, the therapy initially may be difficult but may ultimately induce change in the long run. In this case, therapists may need to provide enough of the current therapeutic approach before considering a change in the course of therapy.
Author email: Jesse.owen@louisville.edu
September 2015
Psychotherapy Reduces Relapse from Depression
Clarke, K., Mayo-Wilson, E., Kenny, J., & Phillig, S. (2015). Can non-pharmacological interventions prevent relapse in adults who have recovered from depression? A systematic review and meta-analysis of randomised controlled trials. Clinical Psychology Review, 39, 58-70.
According to the American Psychiatric Association, the risk for relapse from depression can be as high as 60% for those who had one episode, 70% for those who had two episodes, and 90% for those who had three previous episodes. Intervening after recovery from an episode of depression might prevent relapse. A relapse is defined as any significant deterioration in depression following a period of clear improvement. We know that relapse after discontinuing antidepressant treatment is greater than relapse after discontinuing psychotherapy, likely because psychotherapy and not medications result in the patient acquiring new coping skills and strengths. Clarke and colleagues conducted a meta analysis of psychological interventions that were designed or adapted in order to reduce relapse after the acute phase depression. These include mindfulness based therapy (MBT) which helps individuals process experience without judgment by using mindfulness techniques; cognitive behavioral therapy (CBT) which helps to modify thoughts and behaviors key to depression; and interpersonal psychotherapy (IPT) which focuses on helping to deal with interpersonal and social role problems related to depression. Clarke and colleagues reviewed 29 studies that included 4216 participants who had at least one episode of depression, had recovered after treatment, and who received either MBT, CBT, or IPT to prevent relapse. These were compared to control conditions that included wait-lists, treatment as usual, or some other active intervention. Compared to all of the controls, MBT, CBT, and IPT reduced relapse rates from 21% to 25% among patients one year post acute treatment. The effects for CBT were maintained up to two years post treatment. There were no differences between psychotherapies and control conditions in drop out rates.
Practice Implications
Psychotherapies (e.g., MBT, CBT, and IPT) reduce relapse from depression by about 22%. up to one year post recovery. Practitioners should consider offering MBT, CBT, or IPT as a form of booster sessions to reduce the likelihood of relapse from a previous episode of depression. Such interventions are important given the increasing relapse rates for each subsequent episode of depression.