Psychotherapy Research最新文献

Objective: To develop two prediction algorithms recommending person-centered experiential therapy (PCET) or cognitive-behavioral therapy (CBT) for patients with depression: (1) a full data model using multiple trial-based and routine variables, and (2) a routine data model using only variables available in the English NHS Talking Therapies program.

Method: Data was used from the PRaCTICED trial comparing PCET vs. CBT for 255 patients meeting a diagnosis of moderate or severe depression. Separate full and routine data models were derived and the latter tested in an external data sample.

Results: The full data model provided the better prediction, yielding a significant difference in outcome between patients receiving their optimal vs. non-optimal treatment at 6- (Cohen's d = .65 [.40, .91]) and 12 months (d = .85 [.59, 1.10]) post-randomization. The routine data model performed similarly in the training and test samples with non-significant effect sizes, d = .19 [-.05, .44] and d = .21 [-.00, .43], respectively. For patients with the strongest treatment matching (d ≥ 0.3), the resulting effect size was significant, d = .38 [.11, 64].

Conclusion: A treatment selection algorithm might be used to recommend PCET or CBT. Although the overall effects were small, targeted matching yielded somewhat larger effects.

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.

Objective: This study examines how therapist emotional response/countertransference (CT) develops during treatment for patients with personality disorders (PDs) and how pre-treatment patient factors (severity of personality pathology, PD category, level of symptom distress) predict CT responses. Secondly, we explored associations between patient clinical outcome and CT.

Method: A longitudinal, observational study including 1956 patients with personality pathology treated at psychotherapy units within specialist mental health services. Therapists' emotional response was repeatedly assessed by the Feeling Word Checklist-Brief Version (FWC-BV) with three subscales-Inadequate, Confident, and Idealized.

Results: Levels of Inadequate CT were lowest and stable over time while Confident and Idealized increased over time. Greater severity of personality pathology and borderline PD predicted higher initial Inadequate, lower initial Confident and decreasing Inadequate over time. Antisocial PD predicted decreasing Confident. Number of PD criteria had higher impact on therapist CT than level of symptom distress. Clinical improvement was associated with decreasing Inadequate.

Conclusion: Therapists reported predominantly Confident CT when working with PD patients. More severe personality pathology, and borderline PD, specifically, predicted more negative CT initially, but the negative CT decreased over time. Patients who did not improve were associated with increasing Inadequate.

Objective: Blended cognitive behavioral therapy (bCBT) combines face-to-face therapy with digital elements, such as digital health apps. This pilot study aimed to explore the effectiveness and safety of a novel bCBT application for treating unipolar depression in adults combined with cognitive behavioral therapy (CBT) compared to CBT alone in routine care.

Methods: Patients (N = 82) were randomly assigned to bCBT (n = 42) or CBT (n = 40) over 12 weeks. bCBT consisted of weekly CBT sessions accompanied by the elona therapy depression module (a bCBT application for unipolar depression) for use between sessions. Standard CBT consisted of weekly CBT sessions. Outcomes (6,12 weeks) were analyzed with linear mixed models.

Results: Improvements in depressive symptoms (BDI-II, PHQ-9) were descriptively larger for the bCBT group. Yet, this difference did not reach statistical significance. bCBT was superior to standard CBT in secondary outcome measures of psychological health (d = .50) and generalized anxiety symptoms (d = -.45). In other secondary outcomes (BAI, PSWQ, GSE, WHOQOL-BREF), improvements were descriptively larger for bCBT compared to CBT.

Conclusion: This pilot study provided preliminary evidence that bCBT might be advantageous in comparison to CBT alone in the treatment of depression, but larger RCTs of the bCBT application are needed.

Objective: To explore mediated effects of Mindfulness-Based Cognitive Therapy-"Taking it Further" (MBCT-TiF) on mental well-being through changes in mindfulness, self-compassion, and decentering.

Method: A secondary analysis of an RCT using simple mediation, with 164 graduates of MBCT and mindfulness-based stress reduction (MBSR), was implemented whereby MBCT-TiF (vs ongoing mindfulness practice; OMP) was the independent variable; changes in mindfulness, self-compassion, and decentering during the intervention were the mediators; and mental well-being at post-intervention, whilst controlling for baseline, was the dependent variable. Secondary outcomes included psychological quality of life, depression, and anxiety.

Results: Compared to OMP, MBCT-TiF experienced significant improvements in mental well-being through changes in all three mediators (mindfulness: ab = 0.11 [0.03, 0.25]; decentering: ab = 0.16 [0.05, 0.33]; self-compassion: ab = 0.07 [0.01, 0.18]). A similar pattern was demonstrated for depression, but only mindfulness and decentering mediated effects on psychological quality of life and anxiety.

Conclusion: The findings provide preliminary support for all three mediators in driving change in mental well-being in a sample of MBCT/MBSR graduates. Future work must be theory-driven and powered to test all mediators in parallel and alongside other potential mediators (e.g., equanimity) to further understand independent contributions and interacting effects.Trial registration: ClinicalTrials.gov identifier: NCT05154266.

ABSTRACTObjective This study compared metaverse counseling with in-person counseling, using in-person counseling as a comparison group. To achieve this, we assessed whether metaverse counseling, a novel treatment approach, is comparable to traditional in-person counseling. Method: A total of 60 participants voluntarily participated in the study. Among the participants, 28 preferred in-person counseling, whereas 32 selected metaverse counseling as their preferred treatment option. Results and Conclusion: The findings indicated no statistically significant differences in the psychological symptom change patterns between the two counseling modalities. Both metaverse and in-person counseling demonstrated a common pattern of reduced symptom levels from pre-to post-session (Metaverse counseling Cohen's d = 1.04, In-person counseling Cohen's d = .62), which remained stable from post-session to follow-up regardless of the chosen counseling modality. Furthermore, the study revealed that the metaverse counseling group exhibited a higher level of working alliances than the in-person counseling group. Additionally, there was a slight tendency toward higher levels of counseling satisfaction in the metaverse counseling group than in the in-person counseling group. The results of this study support the use of synchronous metaverse programs to treat college students. The implications and limitations of this study are discussed. (195 words).

Objective This study aimed to explore whether behavioral synchrony (BS) and inter-brain synchrony (IBS) could serve as potential biomarkers for alliance quality or outcomes among clients with different adult attachment styles. Method: We assessed the clients' self-report working alliance and clinical outcomes as well as simultaneously measured BS using motion energy analysis (MEA) and IBS with functional near-infrared spectroscopy (fNIRS) among 37 secure (N = 21) or dismissing (N = 16) clients with their counselors during the first psychological counseling meeting. Results: Dismissing dyads manifested significantly higher late-stage counselor-led and client-led IBS (p = .018) than secure dyads. Adult attachment style served as the moderators in the correlation of both whole-stage client-led BS with bond dimension of alliance (p = .015) as well as in the correlation of both whole-stage no-lag IBS with CORE-10 score changes (p = .022). Moreover, increases in the whole-stage client-led BS were significantly associated with decreases in early-stage, late-stage and whole-stage no-lag IBS (all ps ≤ 0.01). Conclusion: These findings revealed the potentially impeding role of interpersonal synchrony in alliance quality for dismissing clients, at least during the first psychological counseling meetings. They also might partially validate the relationship between different modalities of interpersonal synchrony.

Objectives: The effects of oxytocin (OT) administration on psychotherapeutic processes have thus far been elusive. This study explored the effect of OT administration on patient-therapist congruence of the working alliance.

Method: Inpatients with mental disorders (N = 87) participating in a randomized controlled trial received OT (n = 44) or placebo (n = 43) intranasally twice a day, for four weeks. Patients and therapists rated the alliance after each session.

Results: Oxytocin significantly moderated the level of agreement (b = -0.56, SE = 0.25, t = -2.30, p = 0.02), such that patients receiving OT demonstrated lower discrepancy (b = -0.73, p < 0.001) than did those receiving placebo (b = -1.30, p < 0.001). On the other hand, the mutual covariance of patient-therapist ratings across sessions was positive and significant for patients receiving placebo (b = 0.26, p = 0.01) but not for patients in the OT group (b = -0.06, p = .56).

Conclusion: Oxytocin can reduce discrepancies of patient-therapist perceptions of the alliance, although additional studies are needed to explore OT's effect on alliance development over time. As alliance congruence is associated with therapy outcomes, such intervention may lead to enhancement of therapeutic gains.

Objective: Certain client characteristics are associated with early working alliance difficulties in psychotherapy. However, there is limited quantitative evidence on whether combinations of these characteristics (e.g., intersectional identities, prior treatment experiences) are related to alliance development. The present study leveraged a person-centered research approach to examine profiles of early alliance development and differences in the latent class structure of client characteristics among alliance development profiles.

Method: Individual psychotherapy clients (N = 2,579) rated the working alliance for their first four sessions and self-reported demographics, treatment history, and psychological distress. Therapists provided their assessment of clients' primary presenting concerns at baseline.

Results: Latent profile analysis revealed three profiles of working alliance development: high and stable, moderate and increasing, and low and stable. Follow-up person-centered analyses (multigroup confirmatory latent class analysis) indicated that clients in the alliance profiles differed in their combinations of clinical and demographic characteristics. For example, women of color with high baseline distress and a history of prior psychotherapy were over-represented in the low and stable alliance profile.

Conclusion: These results are consistent with recommendations to holistically consider how clients' characteristics and experiences shape psychotherapy processes. Results also highlight the utility of person-centered quantitative methods in psychotherapy research.