Changing personality traits with the help of a digital personality change intervention.

Personality traits predict important life outcomes, such as success in love and work life, well-being, health, and longevity. Given these positive relations to important outcomes, economists, policy makers, and scientists have proposed intervening to change personality traits to promote positive life outcomes. However, nonclinical interventions to change personality traits are lacking so far in large-scale naturalistic populations. This study (n = 1,523) examined the effects of a 3-mo digital personality change intervention using a randomized controlled trial and the smartphone application PEACH (PErsonality coACH). Participants who received the intervention showed greater self-reported changes compared to participants in the waitlist control group who had to wait 1 mo before receiving the intervention. Self-reported changes aligned with intended goals for change and were significant for those desiring to increase on a trait (d = 0.52) and for those desiring to decrease on a trait (d = -0.58). Observers such as friends, family members, or intimate partners also detected significant personality changes in the desired direction for those desiring to increase on a trait (d = 0.35). Observer-reported changes for those desiring to decrease on a trait were not significant (d = -0.22). Moreover, self- and observer-reported changes persisted until 3 mo after the end of the intervention. This work provides the strongest evidence to date that normal personality traits can be changed through intervention in nonclinical samples.

The Impact of Mental Imagery Instructions on Patients' and Therapists' Positive Affect and Strength-Based Behaviours Within Psychotherapy Sessions: A Randomized Controlled Process Study.

OBJECTIVE: Increased attention has recently been paid to the well-being and flourishing of patients in psychotherapy. This study investigated the occurrence of positive affect (PA) and strength-based behaviours within psychotherapy sessions contrasting positive versus neutral imagery instructions. METHODS: This is a secondary analysis of a randomized controlled trial. Seventy-eight sessions of cognitive behavioural therapy involving 26 patients (69.23% female; Mage = 40.31) treated by 13 therapists were selected. PA and strength-based behaviours of patients and therapists were coded on a minute-by-minute basis with the Resource-Oriented Microprocess Analysis. Each session started with a brief mental imagery instruction. Data were analysed using multilevel modelling. RESULTS: Mild levels of PA were very common, whereas stronger expressions were occasional, especially at the beginning and end of sessions. Strength-based behaviours were employed in one-fifth of the videos analysed. Therapists in the positive imagery instruction showed more strength-based behaviours in the beginning phase of sessions, p < 0.05. The two imagery instructions significantly differed in the session trajectories of PA, p < 0.05. A quadratic trend with higher initial values and a sharper decline in PA were found in the positive instruction, whereas the neutral instruction showed a flatter trend. CONCLUSION: Patients and therapists experience PA and discuss strengths in psychotherapy sessions despite patients' distress. The positive imagery instructions potentially induced a positive focus at baseline for therapists but had a negligible effect on the subsequent session progression. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT03767101 (registered December 6, 2018).

One year later: Longer-term maintenance effects of a digital intervention to change personality traits.

OBJECTIVE: Recent research suggests that personality traits can be changed by psychological interventions. However, it is unclear whether these intended personality changes can be maintained or merely reflect ephemeral shifts. METHOD: The present study reports 1-year follow-up effects of a 3-month digital intervention for personality trait change. Personality traits were measured before the intervention (pretest: N = 1523), directly after the intervention (posttest: n = 554), and 3 months (follow-up 1: n = 437) and 1 year (follow-up 2: n = 157) after the end of the intervention. RESULTS: Attrition analyses suggest that participants who completed the 1-year follow-up were significantly more open to experience (d = 0.19), less neurotic (d = 0.20), more agreeable (d = 0.35) and more conscientious (d = 0.27) than participants who did not complete the 1-year follow-up. Also, until the 1-year follow-up, personality trait changes achieved remained stable (for those who wanted to increase in extraversion and conscientiousness) or even changed further in the desired direction (for those who wanted to decrease in neuroticism). CONCLUSION: These results suggest that changes in personality traits due to a targeted intervention are not just ephemeral shifts and can even continue.

Within- and between-patients associations between self-efficacy, outcome expectation, and symptom change in cognitive behavioral therapy for generalized anxiety disorder.

OBJECTIVES: There is limited information on how a change in patients' expectations over time results in symptom change in psychotherapy. This study aimed to investigate the changes in patients' expectations and symptoms during treatment and across follow-up as well as to determine the within- and between-patient relationships between two types of patient expectations, that is, self-efficacy and outcome expectation, and symptom change. METHODS: Participants (80 participants × 6 repeated measures; 480 observations) with generalized anxiety disorder were treated using cognitive behavioral therapy and the within- and between-patient scores of self-efficacy and outcome expectation were evaluated in multilevel models as predictors of symptom change. RESULTS: Patients' self-efficacy and outcome expectation increased, whereas severity of their symptoms reduced during and after treatment. At the within-patient (WP) level, an increase in self-efficacy was associated with a decrease in worry and depressive symptoms, and an increase in outcome expectation was associated with a decrease in depressive symptoms. The between-patient (BP) effect, however, was contrary to the WP effect, that is, self-efficacy was positively correlated with worry and outcome expectation was positively correlated with depressive symptoms CONCLUSION: These results highlight the importance of disaggregating the WP variability from BP variability in psychotherapy process-outcome research as they exhibit different associations at the within- and between-patient levels. Clinical Trial Registration: ClinicalTrial.gov (NCT03079336).

The impact of integrating emotion focused components into psychological therapy: A randomized controlled trial.

OBJECTIVES: This paper presents a randomized controlled trial on assimilative integration, which is aimed at integrating elements from other orientations within one approach to enrich its conceptual and practical repertoire. Elements from Emotion-Focused Therapy (EFT) were integrated into a form of cognitive behavior therapy: Psychological Therapy (PT). In one treatment condition, EFT was added to PT (+EFT) with the intent to enhance therapists' working with emotions. In the other condition, concepts and interventions based on the socialpsychological self-regulation approach were added to PT (+SR). Our assumption was that the +EFT would lead to greater and deeper change, particularly in the follow-up assessments. METHOD: Patients (n = 104) with anxiety, depression, or adjustment disorders were randomized to the two conditions and treated by 38 therapists who self-selected between the conditions. Primary outcome was symptom severity at 12-month follow-up; secondary outcomes included several measures such as interpersonal problems and quality of life. Variables were assessed at baseline, after 8 and 16 sessions, at posttreatment, and at 6- and 12-month follow-up. RESULTS: Contrary to our hypothesis, no significant between-group effects were found. CONCLUSION: The findings first suggest the difficulty of topping an already very effective approach to psychotherapy. Alternative interpretations were that the EFT training, while corresponding to regular practice in AI, was not sufficient to make a difference in outcome, or that while profiting from the enhancement of abilities for working with emotions, this was outbalanced by negative effects of difficulties related to the implementation of the new elements.

Symptom severity in daily life, early response and posttreatment changes in anxiety and depressive symptoms in generalized anxiety disorder.

BACKGROUND: Meta-analytic research shows early response to psychotherapy to predict depression and anxiety outcomes posttreatment. However, little is known about which variables explain differences in early response. Moreover, for patients with generalized anxiety disorder (GAD), there is limited research on whether early response predicts longer-term changes in symptoms. In this study, we used anxiety and controllability beliefs assessed in daily life at intake to predict early response to treatment (until session 5), and we further examined if early response predicts longer-term changes in symptoms (until posttreatment, when adjusting for intake symptom severity) in patients with GAD. METHODS: Forty-nine individuals with GAD reported their anxiety and controllability beliefs using event-based (participant-initiated) ecological momentary assessment (EMA) for 7 days at intake. Symptoms were measured at pretreatment, session 5, session 10, and posttreatment. RESULTS: Results show anxiety levels reported during EMA to be associated with a higher reduction in both anxiety and depressive symptoms early in treatment. Moreover, higher controllability beliefs during EMA were associated with less early response. When predicting change in symptoms until posttreatment, results showed an early change to significantly predict change in symptoms until posttreatment. CONCLUSIONS: Given that we found early response to psychotherapy in patients with GAD to be a prognostic factor for long-term response, it is recommended to monitor response early in treatment and pay special attention to those patients showing less early response.

Mental health of help-seeking outpatients pre and post COVID-19: A real-world data, multicentre study.

OBJECTIVE: A great deal of research addresses the mental health implications of the COVID-19 pandemic for the general population. Little is known about the implications for mental health of help-seeking outpatients and for the effectiveness of mental health services. The present study investigated the mental health and treatment response of help-seeking outpatients before and during the COVID-19 pandemic. METHOD: Routine outcome monitoring data from 3706 clients in the United States and Northern Europe was analysed using multilevel modelling with global subjective well-being as the dependent variable. RESULTS: As opposed to before the pandemic, during the pandemic, well-being scores were significantly higher at intake and improvement throughout treatment was significantly smaller in the US sample, while both were comparable in the EU sample. CONCLUSION: Although there is also evidence of less effective treatments since the pandemic, no conclusive picture emerges that portrays the impact of the pandemic on mental health as uniform. More research is needed to elucidate the impact of the pandemic on the help-seeking population.

Therapists' perceptions of interpersonally challenging patients in generalized anxiety disorder.

OBJECTIVE: This study explores in cognitive-behavioral therapy (CBT) for generalized anxiety disorder (GAD) to what degree therapists' perceptions of their patients as interpersonally challenging (IC) is explained by the therapist or patient effects, if baseline patients' characteristics predict IC, and if IC is related to outcome. METHOD: Eighty patients diagnosed with GAD and treated by 20 therapists with 16 sessions of CBT were randomized to two different implementation conditions. Patients completed baseline measures of depression, anxiety, interpersonal problems, and interpersonal strengths. The therapists completed a single-item assessing IC session-by-session. As an outcome, patients completed a worry measure at baseline, session 5, session 10, and posttreatment. RESULTS: Multilevel models showed meaningful therapist effects, explaining 18% of IC variance. Interpersonal strengths were the only baseline predictor significantly and negatively associated with IC during treatment. Structural equation models showed significant negative IC effects on subsequent patient worry during therapy. CONCLUSIONS: IC might represent a risk factor for psychotherapy outcome. Patient interpersonal strengths at baseline may buffer therapists perceiving their patients as ICs. The therapist effects on IC suggest that CBT clinicians treating GAD might benefit from identifying cases that are interpersonally challenging for them and reflecting about what might trigger that perception.

Adverse events in psychotherapy randomized controlled trials: A systematic review.

Objective: Although evidence for benefits of psychotherapy is substantial, less is known about potential harm. Therefore, we systematically summarized randomized controlled trials (RCTs) to compile evidence-based data on the frequency and characteristics of adverse events (AEs) of psychotherapy. Method: This systematic review of result publications is based on a review of harm consideration in psychotherapy study protocols. Results: On the basis of 115 study protocols, 85 RCTs with 126 psychotherapy and 61 control conditions were eligible for inclusion. The sample consisted of 14,420 participants with the most common mental disorders. Harmful events, e.g., AEs, number of individuals with symptom deterioration, were explicitly reported in 60% of the studies. Conceptualization, recording, and reporting of AEs were heterogeneous. For most reported AEs, the association to study treatment remained unclear. Conclusions: Because the AE recording approaches of the individual studies differed substantially, results could only be compared to a limited extent. Consistent with other findings, this review demonstrates that AEs can be expected to affect more than one in ten participants. Serious AEs occurred more than in one in 21 participants in psychotherapy RCTs. To allow a balanced risk/benefit evaluation of psychotherapy, systematic harm monitoring and reporting should become standard in psychotherapy RCTs.

Strength-based methods - a narrative review and comparative multilevel meta-analysis of positive interventions in clinical settings.

OBJECTIVE: In psychotherapy, strength-based methods (SBM) represent efforts to build on patients' strengths while addressing the deficits and challenges that led them to come to therapy. SBM are incorporated to some extent in all major psychotherapy approaches, but data on their unique contribution to psychotherapy efficacy is scarce. METHODS: First, we conducted a systematic review and narrative synthesis of eight process-outcome psychotherapy studies that investigated in-session SBM and their relation to immediate outcomes. Second, we conducted a systematic review and multilevel comparative meta-analysis contrasting strength-based bona fide psychotherapy vs. other bona fide psychotherapy at post-treatment (57 effect sizes nested in 9 trials). RESULTS: Despite their methodological variability, the pattern of results in the process-outcome studies was generally positive, such that SBM were linked with more favorable immediate, session-level patient outcomes. The comparative meta-analysis found an overall weighted average effect size of g = 0.17 (95% CIs [0.03, 0.31], p < .01) indicating a small but significant effect in favor of strength-based bona fide psychotherapies. There was non-significant heterogeneity among the effect sizes (Q(56) = 69.1, p = .11; I2 = 19%, CI [16%, 22%]). CONCLUSION: Our findings suggest that SBMs may not be a trivial by-product of treatment progress and may provide a unique contribution to psychotherapy outcomes. Thus, we recommend integration of SBM to clinical training and practice across treatment models.

Modifiable predictors of nonresponse to psychotherapies for late-life depression with executive dysfunction: a machine learning approach.

The study aimed to: (1) Identify distinct trajectories of change in depressive symptoms by mid-treatment during psychotherapy for late-life depression with executive dysfunction; (2) examine if nonresponse by mid-treatment predicted poor response at treatment end; and (3) identify baseline characteristics predicting an early nonresponse trajectory by mid-treatment. A sample of 221 adults 60 years and older with major depression and executive dysfunction were randomized to 12 weeks of either problem-solving therapy or supportive therapy. We used Latent Growth Mixture Models (LGMM) to detect subgroups with distinct trajectories of change in depression by mid-treatment (6th week). We conducted regression analyses with LGMM subgroups as predictors of response at treatment end. We used random forest machine learning algorithms to identify baseline predictors of LGMM trajectories. We found that ~77.5% of participants had a declining trajectory of depression in weeks 0-6, while the remaining 22.5% had a persisting depression trajectory, with no treatment differences. The LGMM trajectories predicted remission and response at treatment end. A random forests model with high prediction accuracy (80%) showed that the strongest modifiable predictors of the persisting depression trajectory were low perceived social support, followed by high neuroticism, low treatment expectancy, and low perception of the therapist as accepting. Our results suggest that modifiable risk factors of early nonresponse to psychotherapy can be identified at the outset of treatment and addressed with targeted personalized interventions. Therapists may focus on increasing meaningful social interactions, addressing concerns related to treatment benefits, and creating a positive working relationship.

The Effects of Health Care Chatbot Personas With Different Social Roles on the Client-Chatbot Bond and Usage Intentions: Development of a Design Codebook and Web-Based Study.

BACKGROUND: The working alliance refers to an important relationship quality between health professionals and clients that robustly links to treatment success. Recent research shows that clients can develop an affective bond with chatbots. However, few research studies have investigated whether this perceived relationship is affected by the social roles of differing closeness a chatbot can impersonate and by allowing users to choose the social role of a chatbot. OBJECTIVE: This study aimed at understanding how the social role of a chatbot can be expressed using a set of interpersonal closeness cues and examining how these social roles affect clients' experiences and the development of an affective bond with the chatbot, depending on clients' characteristics (ie, age and gender) and whether they can freely choose a chatbot's social role. METHODS: Informed by the social role theory and the social response theory, we developed a design codebook for chatbots with different social roles along an interpersonal closeness continuum. Based on this codebook, we manipulated a fictitious health care chatbot to impersonate one of four distinct social roles common in health care settings-institution, expert, peer, and dialogical self-and examined effects on perceived affective bond and usage intentions in a web-based lab study. The study included a total of 251 participants, whose mean age was 41.15 (SD 13.87) years; 57.0% (143/251) of the participants were female. Participants were either randomly assigned to one of the chatbot conditions (no choice: n=202, 80.5%) or could freely choose to interact with one of these chatbot personas (free choice: n=49, 19.5%). Separate multivariate analyses of variance were performed to analyze differences (1) between the chatbot personas within the no-choice group and (2) between the no-choice and the free-choice groups. RESULTS: While the main effect of the chatbot persona on affective bond and usage intentions was insignificant (P=.87), we found differences based on participants' demographic profiles: main effects for gender (P=.04, ηp2=0.115) and age (P<.001, ηp2=0.192) and a significant interaction effect of persona and age (P=.01, ηp2=0.102). Participants younger than 40 years reported higher scores for affective bond and usage intentions for the interpersonally more distant expert and institution chatbots; participants 40 years or older reported higher outcomes for the closer peer and dialogical-self chatbots. The option to freely choose a persona significantly benefited perceptions of the peer chatbot further (eg, free-choice group affective bond: mean 5.28, SD 0.89; no-choice group affective bond: mean 4.54, SD 1.10; P=.003, ηp2=0.117). CONCLUSIONS: Manipulating a chatbot's social role is a possible avenue for health care chatbot designers to tailor clients' chatbot experiences using user-specific demographic factors and to improve clients' perceptions and behavioral intentions toward the chatbot. Our results also emphasize the benefits of letting clients freely choose between chatbots.

The evolution of patients' concept of the alliance and its relation to outcome: A dynamic latent-class structural equation modeling approach.

The working alliance (WA) has been widely identified as the key concept for psychotherapy and allied health care services. The WA, measured at different phases of diverse kinds of therapies, has been shown to robustly predict posttreatment outcomes. But the way the clients' conceptualization of the alliance evolves overtime, and the relation between this kind of conceptual change and subsequent symptom improvements, has not been investigated. Dynamic Latent Class Structural Equation Models (DLC-SEM) were applied to data drawn from two randomized clinical trials of cognitive-behavioral therapy for generalized anxiety disorder (N = 57 and 80) to evaluate several potential models of the relation between the conceptual/structural changes in patients' self-reports of the quality of the alliance and subsequent treatment outcomes. Inspection of the DLC-SEM models suggests that, overtime, between 63% and 66% of the better session-level outcome clients switched from three factors (task, goal, bond) to an integrated single factor conceptualization of the therapeutic alliance. The study indicates that the majority of patients evolve their concept of the alliance overtime: The previously distinct alliance elements become integrated into a single factor construct. These findings suggest that if such overtime development is generalizable across diverse patient/treatment populations, future research ought to take these developments into account both methodologically (i.e., how alliance is measured) and in analyzing time-series data (e.g., using DLC-SEM). By modeling the patient's dynamic concept evolution, this initial study shows a potential to empirically explore prior theoretical propositions of the evolutions (or stability) of the alliance overtime. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Does extraversion increase following a three-hour flirt training? Exploring two training routes.

Flirting situations are opportunities to behave in extraverted ways. However, it is not clear whether engaging in flirting behavior predicts extraversion. The current study explored whether extraversion increases following a 3-h flirt training and compared two training routes to flirting. A two-arm randomized pre-post design with two active conditions were used. Ninety-six adults between 18 and 49 years (67.7% women) were randomized to either: (1) a problem-oriented training strategy that aims to compensate for problems and deficits related to flirting; or (2) a strengths-oriented training strategy that capitalizes on individuals' strengths and resources. The outcome variables were assessed before and 30 days after the training. Participants in both conditions reported higher scores in flirting behavior as well as in extraversion following the trainings. The results suggest that flirt trainings are potentially interesting indirect intervention approaches to increase the expression of extraversion.

How therapists' interpersonal behaviour is perceived by their patients and close others: A longitudinal and cross-situational study.

Due to their predictive abilities, therapist interpersonal behaviour is of great relevance for psychotherapy. However, there is a lack of knowledge about its stability inside but also outside of the therapy room within and between therapists. The current study investigates interpersonal behaviour of trainee therapists (N = 20) as perceived by four patients each suffering from generalized anxiety disorder and three closely related persons of every therapist (close others). Investigating repeated measures, four patients per therapist completed the Impact Message Inventory (IMI; Kiesler, 1987) three times over the course of their cognitive behavioural therapy. Furthermore, the IMI was completed by three close others at one assessment time. Therapist interpersonal behaviour was perceived as more friendly and less submissive when evaluated by close others compared to patients. Using a multilevel approach, our results indicate that therapists' interpersonal behaviour was perceived considerably stable across patients and over the course of treatment, and there is considerable uniformity of the IMI evaluations in respect to the particular subscales within and between therapists. Our results highlight the potential similarities of observer-based habitual therapists' interpersonal behaviour inside and outside of the therapy room.

Assessing interpersonal skills-A comparison of trainee therapists' and students' interpersonal skills assessed with two established assessments for interpersonal skills.

Therapist differences in psychotherapy outcomes have been consistently found. Therefore, therapists' characteristics such as interpersonal skills are of particular interest. Two assessments of interpersonal skills for the selection of trainees have recently been developed. To extend current knowledge, this study compares trainee therapist's and psychology student's interpersonal skills in both assessments simultaneously and also investigates the potential influence of clinical experience and age on interpersonal skills. Furthermore, the psychometric properties of these assessments are examined. A total of 19 trainee therapists and 17 undergraduate students (N = 36) participated in both assessments and provided information on their prior clinical experience. Trainee therapists had significantly better interpersonal skills than the students in both assessments. However, different indicators of clinical experience (e.g., years in practice, patients treated, and supervision) did not influence their performance in either assessment. The good psychometric properties of both assessments could be replicated. Conceptual and practical considerations on the assessment of interpersonal skills are discussed.

Indirect effect of patient outcome expectation on improvement through alliance quality: A meta-analysis.

Objective: A meta-analysis revealed a positive correlation between patients' optimistic baseline, or early treatment, outcome expectation (OE) and posttreatment improvement (Constantino, Vîsla, et al., [2018]. A meta-analysis of the association between patients' early treatment outcome expectation and their posttreatment outcomes. Psychotherapy, 55(4), 473-485. https://doi.org/10.1037/pst0000169). However, little is known about mechanisms through which OE operates. Increasingly, several individual studies have pointed to higher therapeutic alliance quality as a promising mediator (candidate mechanism) of the positive OE-improvement link. In this study, we conducted the first meta-analysis of this indirect effect, hypothesizing that alliance would partially mediate the OE-outcome link.Method: We included published articles involving a clinical sample; therapist-led treatment of at least 3 sessions; pre- or early treatment patient OE measures; during-treatment patient-rated alliance measures; posttreatment outcome measures; and statistical tests of mediation. This meta-analysis included 10 independent samples and over 1,000 patients.Results: As expected, better alliance quality partially mediated the association between more optimistic OE and improvement; that is, although both were significant, a multivariate analysis revealed that the direct effect was significantly lower than the total effect (standardized difference = -.12, p < .001, 95% CI [-.20, -.05]). Publication bias was low, as was heterogeneity except for the alliance-outcome path.Conclusions: Better alliance may be one process that helps transmit the therapeutic influence of early patient OE.

How do worry and clinical status impact working memory performance? An experimental investigation.

BACKGROUND: Previous research has suggested that worry is negatively associated with working memory performance. However, it is unclear whether these findings would replicate across different worry levels and in individuals with anxiety and depressive disorders (i.e. clinical statuses). METHOD: One-hundred-thirty-eight participants performed a two-block working memory task (150 trials per block). Based on participants` current clinical status, four groups were considered (generalised anxiety disorder group: n = 36; clinical group with another anxiety or mood disorders: n = 33; subclinical group: n = 27; control group: n = 42). Trait worry levels were collected from all of the participants. Working memory performance was measured as accuracy and reaction time. RESULTS: During the first block, higher worry scores were significantly associated with longer reaction times. Moreover, the generalised anxiety disorder group, clinical group, and subclinical groups demonstrated significantly longer reaction times compared to the control group in Block 1, when age was controlled for. From Block 1 to Block 2, all of the participants demonstrated a significant decrease in accuracy and reaction time, regardless of worry level or clinical status. CONCLUSION: The results indicate that higher worry levels negatively impact WM processing efficiency. Moreover, when age was controlled for, we found participants` clinical status to be linked with WM impairments. The results highlight the relevance of investigating the impact of different worry levels on cognitive processes across clinical and non-clinical populations.

What can be learned from couple research: Examining emotional co-regulation processes in face-to-face interactions.

A crucial component of successful counseling and psychotherapy is the dyadic emotion co-regulation process between patient and therapist that unfolds moment to moment during therapy sessions. The major reason for the disappointing progress in understanding this process is the lack of appropriate methods to assess subjectively experienced emotions continuously during therapy sessions without disturbing the natural flow of the interaction. The resulting inability has forced the field to focus on patients' overall emotion ratings at the end of each session with limited predictive value of the dyadic interplay between patient and therapist's emotional states within each session. The current tutorial demonstrates how couple research-confronted with a comparable problem-has overcome this issue by (i) developing a video-based retrospective self-report assessment method for individuals' continuous state emotions without undermining the dyadic interaction and (ii) using a validated statistical tool to analyze the dynamical process during a dyadic interaction. We show how to assess emotion data continuously, and how to unravel self-regulation and co-regulation processes using a Latent Differential Equation Modeling approach. Finally, we discuss how this approach can be applied in counseling psychology and psychotherapy to test basic theoretical assumptions about the co-creation of emotions despite the conceptual differences between couple dyads and therapist-patient dyads. The present method aims to inspire future research activities examining systematic real-time processes between patients and therapists. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Assessing the alliance-outcome association adjusted for patient characteristics and treatment processes: A meta-analytic summary of direct comparisons.

The alliance is widely recognized as a robust predictor of posttreatment outcomes. However, there is a debate regarding whether the alliance is an epiphenomenon of intake characteristics and/or treatment processes occurring over the course of treatment. This meta-analysis aimed to synthesize the evidence on this issue. We identified 125 effect sizes in 60 independent samples (6,061 participants) of studies that reported alliance-outcome correlations as well as parallel intake or process characteristics. We examined the impact of these potential confounds on the alliance-outcome correlations. We meta-analyzed the studies estimates by computing omnibus effects models as well as multivariate models. We identified 3 variable types that were used to adjust the alliance-outcome correlations: (a) intake characteristics (k = 35); (b) simultaneous processes, such as adherence or competence (k = 13); and (c) both intake and simultaneous processes (k = 24). We found moderate alliance-outcome correlations with or without adjustments for intake and simultaneous processes (range from r = .23 to r = .31). Our results provide robust empirical evidence for the assertion that the alliance-outcome association is an independent process-based factor. Findings suggest that alliance is positively related to outcome above and beyond the studied patient intake characteristics and treatment processes. (PsycInfo Database Record (c) 2020 APA, all rights reserved).