Identifying who benefits most from supportive versus expressive techniques in psychotherapy for depression: Moderators of within- versus between-individual effects

More than Meets the "I": A Panoramic View of Epistemic Trust in Psychotherapy

INTRODUCTION

Epistemic trust (ET), the authenticity and personal relevance we assign to interpersonally transmitted knowledge, is considered an essential component of any effective therapy. Despite its clinical significance, comprehensive empirical support is still lacking regarding whether ET is an inherent characteristic of the patient or acts as a catalyst for therapeutic change. Consequently, unlike other critical components, a clear distinction between its aspects - the patient's attributes, the therapist's contribution, and their unique therapeutic relationship - remains elusive, leaving our understanding incomplete. The current study examines the constituents of ET in therapy and its related effects through three distinct lenses: a blended snapshot lens, a prognostic lens, and a lens focusing on state-like changes. The constituents of ET were measured as follows: patient attributes were measured using attachment orientation and interpersonal functioning scales; therapist contribution was evaluated through scales assessing the therapist's use of techniques; and the patient-therapist therapeutic relationship was gauged using the working alliance scale.

METHODS

We collected and analyzed data from 116 patients who participated in manualized psychodynamic psychotherapy sessions to investigate the trait-like and state-like components of ET.

RESULTS

The results offer a comprehensive panoramic view with small to medium, but meaningful, correlations between ET and patients' attributes (ranging from 0.18 to -0.26); therapists' contributions (ranging between 0.15 and 0.28); and the patient-therapist therapeutic relationship (ranging between 0.17 and 0.23).

CONCLUSION

While some findings were consistent with our expectations, others were contrary, highlighting the necessity of considering the variations between and within patients as they have distinct theoretical, clinical, and empirical implications. Employing these three distinct lenses helps therapists gain a better understanding of the clinical picture reflected by the patient over different treatment periods. This broad perspective is of prognostic importance and encourages clinicians to adjust the treatment focus to meet the evolving needs of their patients.

Individual-Specific Animated Profiles of Mental Health

How important is the timing of the pretreatment evaluation? If we consider mental health to be a relatively fixed condition, the specific timing (e.g., day, hour) of the evaluation is immaterial and often determined on the basis of technical considerations. Indeed, the fundamental assumption underlying the vast majority of psychotherapy research and practice is that mental health is a state that can be captured in a one-dimensional snapshot. If this fundamental assumption, underlying 80 years of empirical research and practice, is incorrect, it may help explain why for decades psychotherapy failed to rise above the 50% efficacy rate in the treatment of mental-health disorders, especially depression, a heterogeneous disorder and the leading cause of disability worldwide. Based on recent studies suggesting within-individual dynamics, this article proposes that mental health and its underlying therapeutic mechanisms have underlying intrinsic dynamics that manifest across dimensions. Computational psychotherapy is needed to develop individual-specific pretreatment animated profiles of mental health. Such individual-specific animated profiles are expected to improve the ability to select the optimal treatment for each patient, devise adequate treatment plans, and adjust them on the basis of ongoing evaluations of mental-health dynamics, creating a new understanding of therapeutic change as a transition toward a more adaptive animated profile.