Focusing on Patients' Existing Resources and Strengths in Cognitive-Behavioral Therapy and Psychodynamic Therapy: A Systematic Review and Meta-Analysis

Client resources and the prediction of therapeutic change using an interview: An exploratory study

OBJECTIVES

Although psychotherapy research suggests that clients' resources are related to positive outcomes, there is a lack of clinical tools available to consider their integration into psychotherapy. In this exploratory research, we studied the feasibility of a semi-structured interview to identify resources reported by clients at the onset of therapy and the relationship between resources and therapy outcomes.

METHODS

Data consisted of interviews with 30 clients from a clinical trial, in which elicitation of resources and their relationship with the outcomes were the main study objectives.

RESULTS

This interview was content analyzed and both adaptative resources and maladaptive resources (dysfunctional coping strategies) were identified. The association between the adaptive resources and the evolution of outcomes throughout treatment was analyzed. Time (i.e. sessions) and resources were negatively correlated with psychological distress. Moreover, resources positively influenced the impact of time on distress.

CONCLUSIONS

Clinicians should not take at face value resources that are self-reported, as they may reflect the maladaptive functioning of the client. The finding that clients with higher resources at onset have better outcomes points to the need to study how resources may be elicited effectively during therapy, and if this improves psychotherapy outcomes.

Multidimensional Assessment of Strengths and Their Association With Mental Health in Psychotherapy Patients at the Beginning of Treatment

Background

Modern concepts assume that mental health is not just the absence of mental illness but is also characterized by positive well-being. Recent findings indicated a less pronounced distinction of positive and negative mental health dimensions in clinical samples. Self-perceived strengths were associated with markers of mental health in healthy individuals. However, analyses of strengths and their association with different mental health variables in clinical populations are scarce.

Method

A cross-sectional design was conducted at a German outpatient training and research center. 274 patients before treatment (female: 66.4%, mean age = 42.53, SD = 13.34, range = 18-79) filled out the Witten Strengths and Resource Form (WIRF), a multidimensional self-report of strengths, as well as other instruments assessing positive and negative mental health variables. Data was analyzed with structural equation modeling and latent regression analyses.

Results

Confirmatory factor analysis of the WIRF showed good model fit for the assumed three-subscale solution. Regarding mental health, a one-factor model with positive and negative variables as opposite poles showed acceptable fit. A correlated dual-factor model was not appropriate for the data. All WIRF subscales significantly predicted unique parts of variance of the latent mental illness factor (p = .035 - p < .001).

Conclusion

The context-specific assessment of patients' strengths was confirmed and led to an information gain in the prediction of mental health. Results suggest that positive and negative facets of mental health are highly entwined in people with pronounced symptoms. The scientific and practical implications of these findings are discussed.

Patients' self-perceived strengths increase during treatment and predict outcome in outpatient cognitive behavioral therapy

OBJECTIVE

Modern conceptualizations suggest the independence of positive and negative mental health constructs. Research of positive constructs in psychotherapy is scarce. This study analyzed the development of patients' strengths during psychotherapy and whether pre-therapy strengths incrementally predict treatment outcome.

METHODS

Two hundred and two patients (56.44% female, mean age = 42.49) treated by 54 therapists underwent cognitive behavioral therapy. Patients' strengths in different contexts as well as psychopathology, interpersonal problems, and self-esteem were assessed at the beginning and end of therapy.

RESULTS

Strengths increased in the contexts of everyday life (EvdayS; d = 0.44, p < 0.001) and current problems (ProbS; d = 0.70, p < 0.001). Strengths in the context of previous crises that were managed successfully (CrisesS) did not change. However, baseline scores of CrisesS were a significant incremental predictor of all outcomes.

CONCLUSION

A differentiated assessment of positive constructs is useful for outcome prediction and the implementation of strength-based interventions.

Patients Characteristics and Psychosocial Treatment in Psychodynamic and Cognitive Behavior Therapy

Introduction: The most prevalent psychotherapy schools are psychodynamic (PDT) and cognitive behavior therapy (CBT). There are no scientific guidelines on which type of patient should be treated by which therapist, and how they can find the best one. Part of the answer can be derived from data on who is treated in which way. Objective: Objective of this study was to compare patients in routine PDT and CBT to describe similarities and differences in regard to patient status and treatment. Materials and Methods: A research psychotherapist visited 73 cognitive behavior therapists and 58 psychodynamic psychotherapists in their office and asked them to report about the last cases they had seen. There were 188 CBT and 134 PD case reports. Results: There were no significant differences in socio-demographics between PDT and CBT patients. The average number of treatment session so far was significantly higher in PDT than CBT. There were longer duration of illness, more parallel medical treatments and higher rates of sick leave in CBT patients. While assessment of capacities with the Mini-ICF-APP showed no differences, more participation restrictions were found in CBT patients. Correspondingly there were more sociomedical interventions, especially in regard to work. Conclusions: The differences between PDT and CBT may be explained by the fact that PDT requires analytical capabilities on the side of the patient, which may exclude patients with social problems, while CBT is coping oriented which allows the inclusion of all kinds of patients. Still, in both treatment modes, complex patients are treated with multidimensional interventions.