The Effectiveness of Dialectical Behavior Therapy Compared to Schema Therapy for Borderline Personality Disorder: A Randomized Clinical Trial.

INTRODUCTION: In the treatment of borderline personality disorder (BPD), there is empirical support for both dialectical behavior therapy (DBT) and schema therapy (ST); these treatments have never been compared directly. This study examines whether either of them is more effective than the other in treating patients with BPD. METHODS: In this randomized, parallel-group, rater-blind clinical trial, outpatients aged between 18 and 65 years with a primary diagnosis of BPD were recruited in a tertiary outpatient treatment center (Lübeck, Germany). Participants were randomized to DBT or ST with one individual and one group session per week over 1.5 years. The primary outcome was the BPD symptom severity assessed with the mean score of the Borderline Personality Disorder Severity Index at 1-year naturalistic follow-up. RESULTS: Between November 26, 2014, and December 14, 2018, we enrolled 164 patients (mean age = 33.7 [SD = 10.61] years). Of these, 81 (49.4%) were treated with ST and 83 (50.6%) with DBT, overall, 130 (79.3%) were female. Intention-to-treat analysis with generalized linear mixed models did not show a significant difference at 1-year naturalistic follow-up between DBT and ST for the BPDSI total score (mean difference 3.32 [95% CI: -0.58-7.22], p = 0.094, d = -24 [-0.69; 0.20]) with lower scores for DBT. Pre-to-follow-up effect sizes were large in both groups (DBT: d = 2.45 [1.88-3.02], ST: d = 1.78 [1.26-2.29]). CONCLUSION: Patients in both treatment groups showed substantial improvements indicating that even severely affected patients with BPD and various comorbid disorders can be treated successfully with DBT and ST. An additional non-inferiority trial is needed to show if both treatments are equally effective. The trial was retrospectively registered on the German Clinical Trials Register, DRKS00011534 without protocol changes.

Understanding trauma as contextualized adverse life events that threaten the individual: Commentary in response to Marx et al. (2024).

In this commentary, I propose that a person-oriented and research-focused approach can stimulate the discussion on the definition of a traumatic stressor and help to refine Criterion A in the Diagnostic and Statistical Manual of Mental Disorders (DSM). Particularly, I suggest that a contextual perspective focusing on the interaction between event features and person-related factors captures more adequately the individual perception of and cognitions related to extremely threatening adverse life events for a diversity of individuals exposed to trauma. In future debate, I encourage the involvement of patients and the public and urge consideration of all potential consequences for practice and research that can directly result from changes to Criterion A (e.g., the heterogenization of posttraumatic stress disorder).

Leveraging Single-Case Experimental Designs to Promote Personalized Psychological Treatment: Step-by-Step Implementation Protocol with Stakeholder Involvement of an Outpatient Clinic for Personalized Psychotherapy.

Our objective is to implement a single-case experimental design (SCED) infrastructure in combination with experience-sampling methods (ESM) into the standard diagnostic procedure of a German outpatient research and training clinic. Building on the idea of routine outcome monitoring, the SCED infrastructure introduces intensive longitudinal data collection, individual effectiveness measures, and the opportunity for systematic manipulation to push personalization efforts further. It aims to empower psychotherapists and patients to evaluate their own treatment (idiographic perspective) and to enable researchers to analyze open questions of personalized psychotherapy (nomothetic perspective). Organized around the principles of agile research, we plan to develop, implement, and evaluate the SCED infrastructure in six successive studies with continuous stakeholder involvement: In the project development phase, the business model for the SCED infrastructure is developed that describes its vision in consideration of the context (Study 1). Also, the infrastructure's prototype is specified, encompassing the SCED procedure, ESM protocol, and ESM survey (Study 2 and 3). During the optimization phase, feasibility and acceptability are tested and the infrastructure is adapted accordingly (Study 4). The evaluation phase includes a pilot implementation study to assess implementation outcomes (Study 5), followed by actual implementation using a within-institution A-B design (Study 6). The sustainability phase involves continuous monitoring and improvement. We discuss to what extent the generated data could be used to address current questions of personalized psychotherapy research. Anticipated barriers and limitations during the implementation processes are outlined.

Differential associations of positive and negative expectations with depressive symptoms.

BACKGROUND: Recent research suggests that dysfunctional expectations are a particularly important subtype of cognitions in depression. However, it is unclear whether depressive symptoms are related to the presence of negative expectations, the absence of positive expectations, or both. METHODS: Using hierarchical linear regression analyses, the present study examined the predictive value of positive situation-specific expectations, negative situation-specific expectations, dispositional optimism, and dysfunctional attitudes for depressive symptoms 8 weeks later in a nonclinical sample (N = 157). It also examined whether the relationship between dispositional optimism and dysfunctional attitudes with depressive symptoms is mediated through situational expectations. RESULTS: Cross-sectionally, depressive symptoms were more strongly associated with the presence of negative expectations than with the absence of positive expectations. In the longitudinal and mediation analyses, none of the cognitive variables had significant associations with depressive symptoms at follow-up beyond the strong influence of baseline depressive symptoms. CONCLUSIONS: The presence of negative expectations was cross-sectionally more strongly associated with depressive symptoms than a lack of positive expectations, presumably due to higher variability in negative expectations in this nonclinical sample. The longitudinal and mediation analyses failed to find significant incremental effects of any of the cognitive variables because baseline depression explained the largest proportion of variance.

What if we wait? Using synthetic waiting lists to estimate treatment effects in routine outcome data.

Objective: Due to the lack of randomization, pre-post routine outcome data precludes causal conclusions. We propose the "synthetic waiting list" (SWL) control group to overcome this limitation.Method: First, a step-by-step introduction illustrates this novel approach. Then, this approach is demonstrated using an empirical example with data from an outpatient cognitive-behavioral therapy (CBT) clinic (N = 139). We trained an ensemble machine learning model ("Super Learner") on a data set of patients waiting for treatment (N = 311) to make counterfactual predictions of symptom change during this hypothetical period.Results: The between-group treatment effect was estimated to be d = 0.42. Of the patients who received CBT, 43.88% achieved reliable and clinically significant change, while this probability was estimated to be 14.54% in the SWL group. Counterfactual estimates suggest a clear net benefit of psychotherapy for 41% of patients. In 32%, the benefit was unclear, and 27% would have improved similarly without receiving CBT.Conclusions: The SWL is a viable new approach that provides between-group outcome estimates similar to those reported in the literature comparing psychotherapy with high-intensity control interventions. It holds the potential to mitigate common limitations of routine outcome data analysis.

How childhood maltreatment alters perception and cognition - the predictive processing account of borderline personality disorder.

Borderline personality disorder (BPD) is a severe mental disorder, comprised of heterogeneous psychological and neurobiological pathologies. Here, we propose a predictive processing (PP) account of BPD to integrate these seemingly unrelated pathologies. In particular, we argue that the experience of childhood maltreatment, which is highly prevalent in BPD, leaves a developmental legacy with two facets: first, a coarse-grained, alexithymic model of self and others - leading to a rigidity and inflexibility concerning beliefs about self and others. Second, this developmental legacy leads to a loss of confidence or precision afforded beliefs about the consequences of social behavior. This results in an over reliance on sensory evidence and social feedback, with concomitant lability, impulsivity and hypersensitivity. In terms of PP, people with BPD show a distorted belief updating in response to new information with two opposing manifestations: rapid changes in beliefs and a lack of belief updating despite disconfirmatory evidence. This account of distorted information processing has the potential to explain both the instability (of affect, self-image, and interpersonal relationships) and the rigidity (of beliefs about self and others) which is typical of BPD. At the neurobiological level, we propose that enhanced levels of dopamine are associated with the increased integration of negative social feedback, and we also discuss the hypothesis of an impaired inhibitory control of the prefrontal cortex in the processing of negative social information. Our account may provide a new understanding not only of the clinical aspects of BPD, but also a unifying theory of the corresponding neurobiological pathologies. We conclude by outlining some directions for future research on the behavioral, neurobiological, and computational underpinnings of this model, and point to some clinical implications of it.

Determining prognostic variables of treatment outcome in obsessive-compulsive disorder: effectiveness and its predictors in routine clinical care.

The objectives of this study were to investigate the naturalistic effectiveness of routine inpatient treatment for patients with obsessive-compulsive disorder (OCD) and to identify predictors of treatment outcome. A routinely collected data set of 1,596 OCD inpatients (M = 33.9 years, SD = 11.7; 60.4% female) having received evidence-based psychotherapy based on the cognitive-behavioral therapy (CBT) in five German psychotherapeutic clinics was analyzed. Effect sizes (Hedges' g) were calculated for several outcome variables to determine effectiveness. Predictor analyses were performed on a subsample (N = 514; M = 34.3 years, SD = 12.2; 60.3% female). For this purpose, the number of potential predictors was reduced using factor analysis, followed by multiple regression analysis to identify robust predictors. Effect sizes of various outcome variables could be classified as large (g = 1.34 of OCD-symptom change). Predictors of changes in OCD and depressive symptoms were symptom severity at admission and general psychopathological distress. In addition, patients with higher social support and more washing compulsions benefited more from treatment. Subgroup analyses showed a distinct predictor profile of changes in compulsions and obsessions. The results indicate that an evidence-based psychotherapy program for OCD can be effectively implemented in routine inpatient care. In addition to well-established predictors, social support, and washing compulsions in particular were identified as important positive predictors. Specific predictor profiles for changes in obsessions and compulsions are discussed.

Unraveling the comorbidity of depression and anxiety in a large inpatient sample: Network analysis to examine bridge symptoms.

BACKGROUND: Comorbidities in mental disorders are often understood by assuming a common cause. The network theory of mental disorders offers an alternative to this assumption by understanding comorbidities as mutually reinforced problems. In this study, we used network analysis to examine bridge symptoms between anxiety and depression in a large sample. METHOD: Using data from a sample of patients diagnosed with both depression and an anxiety disorder before and after inpatient treatment (N = 5,614, mean age: 42.24, 63.59% female, average treatment duration: 48.12 days), network models of depression and anxiety symptoms are estimated. Topology, the centrality of nodes, stability, and changes in network structure are analyzed. Symptoms that drive comorbidity are determined by bridge node analysis. As an alternative to network communities based on categorical diagnosis, we performed a community analysis and propose empirically derived symptom subsets. RESULTS: The obtained network models are highly stable. Sad mood and the inability to control worry are the most central. Psychomotor agitation or retardation is the strongest bridge node between anxiety and depression, followed by concentration problems and restlessness. Changes in appetite and suicidality were unique to depression. Community analysis revealed four symptom groups. CONCLUSION: The estimated network structure of depression and anxiety symptoms proves to be highly accurate. Results indicate that some symptoms are considerably more influential than others and that only a small number of predominantly physical symptoms are strong candidates for explaining comorbidity. Future studies should include physiological measures in network models to provide a more accurate understanding.

Predictors of outcome during inpatient psychotherapy for posttraumatic stress disorder: a single-treatment, multi-site, practice-based study.

Objective: The aims of this study were to determine the effectiveness of a routine clinical care treatment and to identify predictors of treatment outcome in PTSD inpatients. Methods: A routinely collected data set of 612 PTSD inpatients (M = 42.3 years [SD = 11.6], 75.7% female) having received trauma-focused psychotherapy was analyzed. Primary outcome was the clinical symptom severity change score, secondary outcomes were assessed using functional, anxiety, and depression change scores. Hedges g-corrected pre-post effect sizes (ES) were computed for all outcomes. Elastic net regulation as a data-driven, stability-based machine-learning approach was used to build stable clinical prediction models. Results: Hedges g ES indicated medium to large effects on all outcomes. The results of the predictor analyses suggested that a combined predictor model with sociodemographic, clinical, and psychometric variables contribute to predicting different treatment outcomes. Across the clinical and functional outcome, psychoticism, total number of diagnoses, and bronchial asthma consistently showed a stable negative predictive relationship to treatment outcome. Conclusion: Trauma-focused psychotherapy could effectively be implemented in a routine inpatient setting. Some important prognostic variables could be identified. If the proposed models of predictors are replicated, they may help personalize treatment for patients receiving routine clinical care.

[CBASP as an Inpatient Concept for Treatment-Resistant Chronic Depression: A Pilot Study of the Relationship between Adverse Effects and Treatment Outcome]. / CBASP als stationäres Behandlungskonzept der therapieresistenten chronischen Depression: Eine Pilotstudie zum Zusammenhang von Nebenwirkungen und Therapieerfolg.

BACKGROUND: Inpatient psychotherapy might trigger adverse effects among others due to short but intensive treatment. Thus, in this pilot study, certain adverse effects of the multidisciplinary inpatient Cognitive Behavioral Analysis System of Psychotherapy (CBASP) for treatment-resistant chronically depressed patients as well as their relationship to treatment outcome (response-, remission-, and relapse-rates) are examined. MATERIAL AND METHODS: 50 patients with treatment-resistant and chronic depression completed the structured 12-weeks inpatient treatment program. Adverse effects were assessed by 1) deterioration of depressive symptoms (measured by the Hamilton Depression Rating Scale, HDRS) at discharge and 2) a self-report questionnaire measuring Adverse Effects of Inpatient Psychotherapy (ADEFIP), which were filled out 6 to 12 months after discharge by the patients. RESULTS: After 12 weeks of treatment, 84% could be classified as responder, of whom 44% fulfilled the remission criterion. 16% were Non-Responder. According to HDRS, none of the patients showed objective deterioration of the depressive symptoms. Six months after discharge, 40% of the responders suffered from relapse. Concerning the ADEFIP, 66% of the patients reported transient deterioration of symptoms. These patients were less likely to achieve remission. Over 50% reported interpersonal conflicts with treatment team members or other patients without any relation to outcome. Finally, more than half of the patients reported significant changes in social relationships after discharge. These patients were less likely to relapse. Overall, 94% of the patients reported at least one of the in this study assessed adverse effects. CONCLUSIONS: Despite some limitations, this pilot study suggests that the CBASP inpatient program could indeed cause adverse effects. However, only subjective transient deterioration appeared to have a negative impact on the individual treatment outcome in the short-term. Results encourage further research concerning adverse treatment effects in the context of short- and long-term treatment outcome investigating how relevant adverse effects are.

Is personalization of psychological pain treatments necessary? Evidence from a Bayesian variance ratio meta-analysis.

ABSTRACT: This is the first study to empirically determine the potential for data-driven personalization in the context of chronic primary pain (CPP). Effect sizes of psychological treatments for individuals with CPP are small to moderate on average. Aiming for better treatment outcomes for the individual patient, the call to personalize CPP treatment increased over time. However, empirical evidence that personalization of psychological treatments can optimize treatment outcomes in CPP is needed. This study seeks to estimate heterogeneity of treatment effect for cognitive behavioral therapy (CBT) as the psychological treatment approach for CPP with the greatest evidence base. For this purpose, a Bayesian variance ratio meta-regression is conducted using updated data from 2 recently published meta-analyses with randomized controlled trials comparing CBT delivered face-to-face to treatment-as-usual or waiting list controls. Heterogeneity in patients with CPP would be reflected by a larger overall variance in the post-treatment score compared with the control group. We found first evidence for an individual treatment effect in CBT compared with the control group. The estimate for the intercept was 0.06, indicating a 6% higher variance of end point values in the intervention groups. However, this result warrants careful consideration. Further research is needed to shed light on the heterogeneity of psychological treatment studies and thus to uncover the full potential of data-driven personalized psychotherapy for patients with CPP.A Bayesian variance ratio meta-regression indicates empirical evidence that data-driven personalized psychotherapy for patients with chronic primary pain could increase effects of cognitive behavioral therapy.

Unveiling temporal dynamics of PTSD and its functional impairments: A longitudinal study in UK healthcare workers.

PTSD has been associated with negative long-term consequences, including social and occupational impairments. Yet, a nuanced understanding of the interplay between PTSD symptoms and distinct domains of impairments on a short-term basis (weeks/ months) at the within-person level remains underexplored. In a large sample (nwave 1 = 1096, nwave 7 = 304) of UK healthcare workers assessed across seven assessment waves during the COVID-19 pandemic (spaced 6 weeks apart), we employed exploratory graphical vector autoregression models (GVAR) models to discern within-person temporal (across time) and contemporaneous (within same time window) dynamics between PTSD symptoms and functional impairment domains. The contemporaneous network highlighted strong co-occurrences between different symptoms and impairments. The temporal network revealed a mutually reinforcing cycle between intrusion and avoidance symptoms. Intrusion symptoms showed the highest out-strength (i.e., most predictive symptom), predicting avoidance symptoms, elevated sense of current threat, and various functional impairments. Avoidance symptoms, elevated after increased levels of intrusions, predicted work impairments that in turn were associated with difficulties in fulfilling other obligations. Our findings underscore the dynamics between perceived threat and intrusions, and the role intrusions may play in predicting a cascade of adverse effects. Targeted interventions aimed at mitigating intrusions may disrupt this negative cycle.

Is personalized treatment selection a promising avenue in bpd research? A meta-regression estimating treatment effect heterogeneity in RCTs of BPD.

OBJECTIVE: Psychotherapy is the first-line treatment for borderline personality disorder (BPD) in evidence-based care. The effects are, on average, medium; however, nonresponse rates point to differential treatment effects. Personalized treatment selection has the potential to improve outcomes, but they depend on the heterogeneity of treatment effects (HTEs), which this article seeks to establish. METHOD: Using an extensive database of randomized controlled trials on psychotherapy for BPD, we determined a reliable estimate of this heterogeneity in treatment effects by (a) applying Bayesian variance ratio meta-analysis and (b) estimating the HTE. In total, 45 studies were included in our study. HTE was found for all psychological treatments, although with low degrees of certainty. RESULTS: Across all psychological treatment and control group types, the estimate for the intercept was 0.10, indicating a 10% higher variance of endpoint values in the intervention groups after controlling for differences in posttreatment means. CONCLUSIONS: The results suggest that, while there might be sufficient heterogeneity in treatment effects, the estimates are uncertain, and future research is needed to gain more accurate boundaries for HTE. Personalizing psychological treatments for BPD by using treatment selection approaches could have positive effects, but the current evidence does not allow for a precise estimate of potential outcome improvement. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The relationship between multiple traumatic events and the severity of posttraumatic stress disorder symptoms - evidence for a cognitive link.

Background: Previous research has shown that multiple traumatic experiences cumulatively increase the risk for the development of severe symptoms of posttraumatic stress disorder (PTSD). Yet, little is known about the specific psychological mechanism through which this increased risk comes about.Objective: In the present study, we examined a possible cognitive link between multiple traumatic events and PTSD symptom severity through dysfunctional cognitions and expectations.Methods: A sample of patients with a diagnosed PTSD (N = 70; MAge = 42.06; 82% female) and high symptom burden (IES-R M = 79.24) was examined. On average, patients had experienced 5.31 different traumatic events. In a structural equation model, we tested the hypothesis that the relationship between multiple traumatic experiences and PTSD symptom severity is mediated through dysfunctional general cognitions and dysfunctional situation-specific expectations. General trauma-related cognitions were assessed with the Posttraumatic Cognition Inventory (PTCI) and trauma-related situational expectations were assessed with the Posttraumatic Expectations Scale (PTES).Results: The direct effect of the number of traumatic events on PTSD symptom severity was non-significant. Instead, as hypothesised, there was evidence for a significant indirect effect via dysfunctional general cognitions and situation-specific expectations.Conclusions: The current results further specify the cognitive model of PTSD by indicating that the relationship between the number of traumatic events and PTSD symptom severity is mediated through dysfunctional cognitions and expectations. These findings emphasise the importance of focused cognitive treatment approaches that seek to modify dysfunctional cognitions and expectations in people with multiple traumatic experiences.

This study shows a cognitive link between the experience of multiple traumatic events and the severity of posttraumatic stress disorder (PTSD) symptoms.The aforementioned relationship is mediated through trauma-related general cognitions and situational expectations.The results provide further evidence for the cognitive model of PTSD and further specify it by considering different types of trauma-related cognitions.

Assessing Dysfunctional Expectations in Posttraumatic Stress Disorder: Development and Validation of the Posttraumatic Expectations Scale (PTES).

Dysfunctional expectations are a particularly important subset of cognitions that influence the development and maintenance of various mental disorders. This study aimed to develop and validate a scale to assess dysfunctional expectations in posttraumatic stress disorder (PTSD), the "Posttraumatic Expectations Scale" (PTES). In a cross-sectional study, 70 PTSD patients completed the PTES, the Posttraumatic Cognitions Inventory (PTCI), as well as measures of the severity of symptoms of PTSD and depression. The results show that the PTES has excellent internal consistency and correlates significantly with the PTCI and PTSD symptom severity. A regression analysis revealed that the PTES explained variance of PTSD symptom severity above the PTCI, supporting the incremental validity of the PTES. While the original version of the PTES comprises 81 items, short scales were constructed using the BISCUIT (best items scales that are cross-validated, unit-weighted, informative and transparent) method. The current findings provide preliminary psychometric evidence suggesting that the PTES is an internally consistent and valid novel self-report measure in patients with PTSD. However, conclusions about the psychometric properties of the PTES are limited because of the absence of criterion-related validity, factor structure evidence, variability over time/response to intervention, and test-retest reliability. Future research should use the PTES in large-scale longitudinal studies to address these aspects to further validate the scale.

Is it worth it to personalize the treatment of PTSD? - A variance-ratio meta-analysis and estimation of treatment effect heterogeneity in RCTs of PTSD.

Several evidence-based treatments for posttraumatic stress disorder (PTSD) are recommended by international guidelines (e.g., APA, NICE). While their average effects are in general high, non-response rates indicate differential treatment effects. Here, we used a large database of RCTs on psychotherapy for PTSD to determine a reliable estimate of this heterogeneity in treatment effects (HTE) by applying Bayesian variance ratio meta-analysis. In total, 66 studies with a total of 8803 patients were included in our study. HTE was found for all psychological treatments, with varying degrees of certainty, only slight differences between psychological treatments, and active control groups yielding a smaller variance ratio compared to waiting list control groups. Across all psychological treatment and control group types, the estimate for the intercept was 0.12, indicating a 12% higher variance of posttreatment values in the intervention groups after controlling for differences in treatment outcomes. This study is the first to determine the maximum increase in treatment effects of psychological treatments for PTSD by personalization. The results indicate that there is comparatively high heterogeneity in treatment effects across all psychological treatment and control groups, which in turn allow personalizing psychological treatments by using treatment selection approaches.

Can placebos reduce intrusive memories?

After traumatic experiences, intrusive memories can flash back and evoke significant distress. Here, we investigated whether the frequency and severity of intrusions can be reduced by the provision of placebo. After the (online) exposure to the trauma-film paradigm, healthy participants (N = 112) received deceptive placebo (DP), open-label placebo (OLP), or no treatment. In the DP group, participants were led to believe to receive a dopamine-modulating drug, which was supposed to disrupt the consolidation of traumatic memories, although they in fact received the same placebo tablets as the OLP group for one week. The results show that the groups did not differ in the frequency of intrusive memories after one week. However, participants receiving OLP reported a significantly reduced intensity of intrusions as compared to DP. Across groups, negative expectations about the intensity and controllability of intrusions were associated with a higher frequency of intrusions, higher distress, higher burden, and more negative appraisal. The results suggest that expectations play an important role in the emergence of intrusive memories and that some of the disabling aspects of intrusive memories can be reduced by placebo. This may carry clinical potential because placebos are an accessible, cost-effective intervention to reduce the risk of intrusive memories.

Out of sight, out of mind? High discrepancy between observer- and patient-reported outcome after routine inpatient treatment for depression.

BACKGROUND: Divergent outcomes of treatment for depression occur regularly, but often go undetected by clinical judgment alone. To date, no comprehensive studies are available on what the detection rate of divergent outcomes is in routine care. METHOD: We analyzed a large (N = 20,882) database of clinician-rated and patient-reported outcomes from routine inpatient treatment for depression. RESULTS: There was little agreement (57.7% on the GAF, 7.8% on the CGI-I) between clinician ratings and patients not showing clinically significant change. There was virtually no agreement (0.6% on the GAF, 2% on the CGI-I) between clinician ratings and self-report scales in deteriorated patients. Multiple regression showed that clinician ratings of change were influenced primarily by symptom severity at discharge, rather than change from admission. LIMITATIONS: Only symptom scales were available as patient-reported outcomes, although clinician ratings may be based on other sources of information. In addition, no information was available on clinicians' experience with the rating scales used, nor is it clear how carefully the ratings were made. DISCUSSION: It can be concluded that failure to achieve treatment success and worsening after routine treatment for depression often go undetected on clinical rating scales, suggesting that such cases frequently remain undetected. Clinicians should generally obtain patient-reported outcomes during treatment to detect these cases.

Inpatient psychotherapy for depression in a large routine clinical care sample: A Bayesian approach to examining clinical outcomes and predictors of change.

BACKGROUND: A routinely collected dataset was analyzed (1) to determine the naturalistic effectiveness of inpatient psychotherapy for depression in routine psychotherapeutic care, and (2) to identify potential predictors of change. METHODS: In a sample of 22,681 inpatients with depression, pre-post and pre-follow-up effect sizes were computed for various outcome variables. To build a probabilistic model of predictors of change, an independent component analysis generated components from demographic and clinical data, and Bayesian EFA extracted factors from the available pre-test, post-test and follow-up questionnaires in a subsample (N = 6377). To select the best-fitted model, the BIC of different path models were compared. A Bayesian path analysis was performed to identify the most important factors to predict changes. RESULTS: Effect sizes were large for the primary outcome and moderate for various secondary outcomes. Almost all pretreatment factors exerted significant influences on different baseline factors. Several factors were found to be resistant to change during treatment: suicidality, agoraphobia, life dissatisfaction, physical disability and pain. The strongest cross-loadings were observed from suicidality on negative cognitions, from agoraphobia on anxiety, and from physical disability on perceived disability. LIMITATIONS: No causal conclusions can be drawn directly from our results as we only used cross-lagged panel data without control group. CONCLUSIONS: The results indicate large effects of inpatient psychotherapy for depression in routine clinical care. The direct influence of pretreatment factors decreased over the course of treatment. However, some factors appeared stable and difficult to treat, which might hinder treatment outcome. Findings of different predictors of change are discussed.

Negative Effects of a Multimodal Inpatient CBASP Program: Rate of Occurrence and Their Impact on Treatment Outcome in Chronic and Treatment-Resistant Depression.

Background: A growing number of studies indicate that the Cognitive Behavioral Analysis System of Psychotherapy (CBASP) is effective in treating chronic depression. However, there is no systematic research into possible negative effects. Therefore, the objectives of the study were to investigate the rate of occurrence of negative effects of an inpatient CBASP program and their impact on treatment response. Methods: Patients with chronic depression and treatment resistance who completed the 12-week multimodal inpatient CBASP treatment program in an open trial (N = 52) retrospectively completed the Inventory for the Assessment of Negative Effects of Psychotherapy (INEP) during follow-up data collection. Severity of depressive symptoms was assessed self- and observer-rated at admission, discharge, and 6 months follow-up. Rates of occurrence of negative effects were calculated and binary logistic regression analyses were conducted to determine the relationship to treatment outcome. Results: The results indicate that 92.3% of patients reported having experienced at least one negative effect and 45.2% indicated dependence on their therapist. Stigmatization and financial concerns as well as intrapersonal changes were reported by about one-third. Only dependence on the therapist negatively impacted treatment outcome in both outcome measures. Conclusions: While almost all patients reported at least one negative effect of a multimodal inpatient CBASP treatment program, most of the reported negative effects appear to be benign. However, dependence on the therapist seems to have a negative impact on treatment outcome. If these results can be replicated in future large-scale, randomized controlled prospective studies, CBASP therapists should be aware of possible dependence and consciously address it during treatment.