Therapists' oxytocin response mediates the association between patients' negative emotions and psychotherapy outcomes

Needs, Modes, and Stances: Three Cardinal Questions for Psychotherapy Practice and Training

Background

Advances in motivational science (Dweck, 2017), personality dynamics (Lazarus & Rafaeli, 2023), and process-based psychotherapy (Hofmann & Hayes, 2019) converge into a pragmatic, integrative, and transtheoretical model of practice and training.

Method

The model comprises three elements: a formulation centered on clients' psychological needs which provides guidance regarding the goals and processes most profitable to pursue; a recognition that such pursuit frequently requires contending with a multiplicity of clients' internal self-states (i.e., modes); and an enumeration of pragmatic therapeutic stances likely to help address clients' need-related goals in light of their modes.

Results

We distill these elements into three cardinal questions: What needs does this client have that are not currently met, and what are the most profitable ways of remedying that frustration? What mode or modes does this client manifest - both generally and at this very moment? and What stance should I adopt in response to the client's current mode? We suggest that clinicians should be trained to continually pose these questions and seek to answer them collaboratively with their clients.

Conclusion

This model - illustrated here using schema therapy terms - offers a process-based approach which serves as a theoretically integrative starting point but is general enough to provide an assimilative integration roadmap for therapists anchored in most primary orientations. Integrative or assimilative therapists trained to attend to needs, modes, and stances are likely to be (and be perceived as) particularly responsive, and thus, to enact "common factor" practices known to be conducive to therapeutic alliance and gains.

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.

Between- and within-person effects of affective experiences on coping in CBT: Direct effects and interplay with therapeutic alliance and resource activation

OBJECTIVE

The role of affective experiences (AE) in cognitive-behavioral therapy (CBT) has rarely been investigated. We examined between- and within-person effects of AE on coping in CBT for family caregivers and interactions with therapeutic alliance and resource activation.

METHODS

67 family caregivers rated AE, therapeutic alliance, resource activation, and coping after each of 12 sessions of telephone-based CBT. We examined direct session-to-session effects of AE on coping in structural equation modeling and interactions of AE with therapeutic alliance and resource activation in multilevel models.

RESULTS

AE did not directly predict coping. Instead, within-person effects of AE interacted with simultaneous within-person emotional bond. Given strong emotional bond, AE positively predicted coping, whereas given weak emotional bond, AE negatively predicted coping. Further, cross-level interactions of between-person AE and within-person agreement on collaboration and resource activation indicated that these positively predicted coping only in dyads with high between-person AE.

CONCLUSION

AE may enhance coping when complemented with strong emotional bond. Further, within-person effects of agreement on collaboration and resource activation seem to rely on a certain degree of between-person AE. Results are discussed in relation to current findings on emotional processing in CBT.