Heterogeneity of Treatment Effects in Internet- and Mobile-Based Interventions for Depression: A Systematic Review and Meta-Analysis.

Importance: While the effects of internet- and mobile-based interventions (IMIs) for depression have been extensively studied, no systematic evidence is available regarding the heterogeneity of treatment effects (HTEs), indicating to what extent patient-by-treatment interactions exist and personalized treatment models might be necessary. Objective: To investigate the HTEs in IMIs for depression as well as their efficacy and effectiveness. Data Sources: A systematic search in Embase, MEDLINE, Central, and PsycINFO for randomized clinical trials and supplementary reference searches was conducted on October 13, 2019, and updated March 25, 2022. The search string included various terms related to digital psychotherapy, depression, and randomized clinical trials. Study Selection: Titles, abstracts, and full texts were reviewed by 2 independent researchers. Studies of all populations with at least 1 intervention group receiving an IMI for depression and at least 1 control group were eligible, if they assessed depression severity as a primary outcome and followed a randomized clinical trial (RCT) design. Data Extraction and Synthesis: This study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting guidelines. Risk of bias was evaluated using the Cochrane Risk of Bias Tool. HTE was investigated using logarithmic variance ratios (lnVR) and effect sizes using Hedges g. Three-level bayesian meta-regressions were conducted. Main Outcomes and Measures: Heterogeneity of treatment effects was the primary outcome of this study; magnitudes of treatment effect sizes were the secondary outcome. Depression severity was measured by different self-report and clinician-rated scales in the included RCTs. Results: The systematic review of 102 trials included 19 758 participants (mean [SD] age, 39.9 [10.58] years) with moderate depression severity (mean [SD] in Patient Health Questionnaire-9 score, 12.81 [2.93]). No evidence for HTE in IMIs was found (lnVR = -0.02; 95% credible interval [CrI], -0.07 to 0.03). However, HTE was higher in more severe depression levels (ß̂ = 0.04; 95% CrI, 0.01 to 0.07). The effect size of IMI was medium (g = -0.56; 95% CrI, -0.46 to -0.66). An interaction effect between guidance and baseline severity was found (ß̂ = -0.24, 95% CrI, -0.03 to -0.46). Conclusions and Relevance: In this systematic review and meta-analysis of RCTs, no evidence for increased patient-by-treatment interaction in IMIs among patients with subthreshold to mild depression was found. Guidance did not increase effect sizes in this subgroup. However, the association of baseline severity with HTE and its interaction with guidance indicates a more sensitive, guided, digital precision approach would benefit individuals with more severe symptoms. Future research in this population is needed to explore personalization strategies and fully exploit the potential of IMI.

The crisis is over, long live the crisis: mental health in emerging adulthood during the course of the COVID-19 pandemic.

Introduction: As a multidimensional stressor, the COVID-19 pandemic posed a significant threat to mental health, with studies showing younger age groups to be particularly vulnerable. Thus, this study aimed to monitor mental health, potential risk/protective factors, and pandemic-related variables among young university students during the pandemic. Methods: Students of the University of Greifswald (M age = 23.0 years, 73.9% female) participated in five cross-sectional online surveys in December 2020 (N = 1,127), March 2021 (N = 760), June/July 2021 (N = 531), December 2021 (N = 1,226), and December 2022 (N = 814). Sociodemographic data, depression and anxiety severity, loneliness, quality of life, coping strategies, resilience, self-esteem, and emotion regulation were measured. First, results from December 2020 were compared to pre-pandemic normative data. Second, the time course during the pandemic was analyzed. Third, linear models were calculated to examine the influence of risk and protective factures on depression and anxiety severity. Results: Higher levels of depression, anxiety, and loneliness, as well as lower levels of self-esteem, physical and mental health, social relationships and well-being were found in December 2020 compared to pre-pandemic. Levels of depression and anxiety severity peaked in December 2022. Female sex, loneliness, and previous mental treatment showed associations with higher depression and anxiety severity, while higher self-esteem, resilience and use of reappraisal strategies appeared to act as protective factors. Discussion: The study indicates the pandemic's detrimental impact on students' mental health and quality of life. Identified risk and protective factors provide guidance for tailored prevention and treatment, as well as the design of measures for future pandemics and other crisis.

Efficacy and acceptability of third-wave psychotherapies in the treatment of depression: a network meta-analysis of controlled trials.

Introduction: In recent decades, various new psychotherapy approaches have been developed in an effort to overcome issues of non-response, referred to as "third-wave psychotherapies." How third-wave therapies perform in comparison to each other, to classical CBT, or other common comparators in the treatment of depression has not yet been systematically assessed. Methods: We firstly determined the scope of the term "third-wave" by conducting a systematic search. The identified approaches were then used as search terms for the systematic review and network meta-analysis (NMA). We searched MEDLINE, CENTRAL, PsychINFO and Web of Science from inception until 31 July 2022. We assessed randomized controlled trials comparing third-wave psychotherapies to each other, CBT, treatment as usual (TAU), medication management, active control conditions, or waitlist (WL) in adult populations with depressive disorders. The treatments included were acceptance and commitment therapy, behavioral activation, cognitive behavioral analysis system of psychotherapy, dialectical behavioral therapy, mindfulness-based cognitive therapy, meta-cognitive therapy, positive psychotherapy and schema therapy. The primary outcome was depression severity (efficacy) at study endpoint, and the secondary outcome was all-cause discontinuation (acceptability). This review was registered in PROSPERO, identifier CRD42020147535. Results: Of 7,971 search results, 55 trials were included in our NMA (5,827 patients). None of the third-wave therapies were more efficacious than CBT but most were superior to TAU [standardized mean differences (SMD) ranging between 0.42 (95% CI -0.37; 1.19) and 1.25 (0.48; 2.04)]. Meta-cognitive therapy (MCT) was more efficacious than three other third-wave therapy approaches. None of the third-wave treatments were more acceptable than WL or CBT. Twenty-seven percent of the trials were rated as low risk of bias. Confidence in the evidence was largely low according to GRADE. Inconsistency emerged for a small number of comparisons. Interpretations: Third-wave therapies are largely efficacious and acceptable alternatives to CBT when compared to TAU, with few differences between them. The evidence so far does not point toward superiority or inferiority over CBT. Patient-level research may offer possibilities for tailoring individual psychotherapies to the needs of individual patients and future trials should make this data available. The evidence base needs to be broadened by sufficiently powered trials.

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.

[Inpatient psychotherapy of depressive disorders: options and challenges]. / Stationäre Psychotherapie depressiver Störungen: Möglichkeiten und Herausforderungen.

BACKGROUND: The psychotherapy of depressive disorders has become established as a central component of inpatient treatment in psychiatric and psychosomatic hospitals and furthermore constitutes an important component of the residency training in Germany; however, the number of studies examining the effectiveness and efficacy is limited. METHODS: This narrative review summarizes the current state of research on inpatient psychotherapy for depressive disorders. The results of meta-analyses as well as practice-based observational studies from routine treatment in Germany, disorder-specific special programs, and side effects of inpatient psychotherapy are summarized. RESULTS: The number of studies on the efficacy of inpatient psychotherapy of depressive disorders is overall low. The main finding of the largest recent meta-analysis indicates that psychotherapy in clinics and other facilities has a significant effect on depressive symptoms, with small to moderate effect sizes in randomized controlled studies. The effects are mostly maintained even after 9-15 months follow-up. An observational study from routine treatment with a very large sample size reported large pre-post and pre-follow-up effect sizes. It additionally revealed factors that appear to be difficult to change during inpatient psychotherapy, negatively affect treatment success and could be specifically addressed in future trials. Special programs, such as inpatient Interpersonal Psychotherapy (IPT) and the inpatient Cognitive Behavioral Analysis System of Psychotherapy (CBASP) indicate acceptance and efficacy/effectiveness in an initial randomized controlled (IPT) study and in observational (CBASP) studies. Side effects of inpatient psychotherapy were reported by 60-94% of patients with depressive disorders, whereby a perceived dependence on the therapist or the therapeutic setting was identified as a frequent side effect. CONCLUSION: Overall, the results of the narrative review reveal that inpatient psychotherapy appears to be meaningful and effective for many patients with depressive disorders. Specific side effects, cost-effectiveness, and the question of differential indications (what works for whom?) should be further investigated.

Testing Bayesian models of belief updating in the context of depressive symptomatology.

OBJECTIVES: Predictive processing approaches to belief updating in depression propose that depression is related to more negative and more precise priors. Also, belief updating is assumed be negatively biased in comparison to normative Bayesian updating. There is a lack of efficient methods to mathematically model belief updating in depression. METHODS: We validated a novel performance belief updating paradigm in a nonclinical sample (N = 133). Participants repeatedly participated in a non-self-related emotion recognition task and received false feedback. Effects of the feedback manipulation and differences in depressive symptoms on belief updating were analysed in Bayesian multilevel analyses. RESULTS: Beliefs were successfully manipulated through the feedback provided. Depressive symptoms were associated with more negative updating than normative Bayesian updating but results were influenced by few cases. No evidence of biased change in beliefs or overly precise priors was found. Depressive symptoms were associated with more negative updating of generalised performance beliefs. CONCLUSIONS: There was cautious support for negatively biased belief updating associated with depressive symptoms, especially for generalised beliefs. The content of the task may not be self-relevant enough to cause strong biases. Further explication of Bayesian models of depression and replication in clinical samples is needed.

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.

Association of loneliness and social network size in adulthood with childhood maltreatment: Analyses of a population-based and a clinical sample.

BACKGROUND: Perceived loneliness and objective social network size are related but distinct factors, which negatively affect mental health and are prevalent in patients who have experienced childhood maltreatment (CM), for example, patients with persistent depressive disorder (PDD) and borderline personality disorder (BPD). This cross-diagnostic study investigated whether loneliness, social network size, or both are associated with self-reported CM. METHODS: Loneliness and social network size were assessed in a population-based sample at two time points (Study 1, N = 509), and a clinical group of patients with PDD or BPD (Study 2, N = 190) using the UCLA Loneliness Scale and the Social Network Index. Further measures were the Childhood Trauma Questionnaire, and standard depression rating scales. Linear regression analyses were applied to compare associations of loneliness or social network size with CM. Multiple mediation analyses were used to test the relative importance of loneliness and social network size in the relationship between CM and depressive symptoms. RESULTS: In both studies, loneliness showed a stronger association than social network size with CM. This was particularly marked for emotional neglect and emotional abuse. Loneliness but not social network size mediated the relationship between CM and depressive symptoms. CONCLUSIONS: Loneliness is particularly associated with self-reported CM, and in this respect distinct from the social network size. Our results underline the importance of differentiating both psychosocial constructs and suggest focusing on perceived loneliness and its etiological underpinnings by mechanism-based psychosocial interventions.

Suicidal behaviors are associated with loneliness and decrease during inpatient CBASP treatment for persistent depressive disorder.

Suicidal ideation and behavior (SIB) are common in persistent depressive disorder (PDD) and may be related to interpersonal dysfunction. While SIB has been extensively analyzed in other high-risk disorders (e.g., borderline personality disorder, BPD), data on interpersonal risk factors and effects of specific psychotherapy on SIB in PDD are limited. This study aimed at investigating loneliness versus social network size as interpersonal risk factors for SIB in PDD and assess effects of cognitive behavioral analysis system of psychotherapy (CBASP) on this domain. In a prospective naturalistic study, 64 PDD patients were assessed, who underwent a 10-weeks inpatient CBASP program. Our clinical comparison group consisted of 34 BPD patients, who underwent a 10-weeks inpatient dialectical behavioral therapy (DBT) program. SIB was measured with the Columbia-Suicide Severity Rating Scale (C-SSRS), loneliness and social network size with the UCLA Loneliness Scale (UCLA) and the Social Network Index (SNI). Twenty-six PDD patients (40.6% of the PDD sample) showed current SIB at baseline in comparison with 26 BPD patients (76.5% of the BPD sample). While in suicidal PDD patients, SIB was associated with perceived social isolation (UCLA), but not with reduced social network size (SNI), this association was not observed in suicidal BPD patients. In PDD, SIB significantly decreased during CBASP. In conclusion, SIB appears to be associated with interpersonal factors related to loneliness in PDD, but not in BPD. CBASP showed first positive evidence in reducing SIB in PDD, but our pilot data need replication studies.

Adding an App-Based Intervention to the Cognitive Behavioral Analysis System of Psychotherapy in Routine Outpatient Psychotherapy Treatment: Proof-of-Concept Study.

BACKGROUND: The Cognitive Behavioral Analysis System of Psychotherapy (CBASP) is an empirically supported psychotherapeutic treatment developed specifically for persistent depressive disorder. However, given the high rates of nonresponse and relapse, there is a need for optimization. Studies suggest that outcomes can be improved by increasing the treatment dose via, for example, the continuous web-based application of therapy strategies between sessions. The strong emphasis in CBASP on the therapeutic relationship, combined with limited therapeutic availabilities, encourages the addition of web-based interventions to face-to-face therapy in terms of blended therapy. OBJECTIVE: The aim of this study was to test an app-based intervention called CBASPath, which was designed to be used as a blended therapy tool. CBASPath offers 8 sequential modules with app-based exercises to facilitate additional engagement with the therapy content and a separate exercise to conduct situational analyses within the app at any time. METHODS: CBASPath was tested in an open pilot study as part of routine outpatient CBASP treatment. Participating patients were asked to report their use patterns and blended use (integrated use of the app as part of therapy sessions) at 3 assessment points over the 6-month test period and rate the usability and quality of and their satisfaction with CBASPath. RESULTS: The results of the pilot trial showed that 93% (12/13) of participants used CBASPath as a blended tool during their therapy and maintained this throughout the study period. Overall, they reported good usability and quality ratings along with high user satisfaction. All participants showed favorable engagement with CBASPath; however, the frequency of use differed widely among the participants and assessment points. Situational analysis was used by all participants, and the number of completed modules ranged from 1 to 7. All participants reported blended use, although the frequency of integration in the face-to-face sessions varied widely. CONCLUSIONS: Our findings suggest that the digital augmentation of complex and highly interactive CBASP therapy in the form of blended therapy with CBASPath is feasible in routine outpatient care. Therapeutic guidance might contribute to high adherence and increase patient self-management. A few adjustments, such as saving entries directly in the app, could facilitate higher user engagement. A randomized controlled trial is now needed to investigate the efficacy and added value of this blended approach. In the long term, CBASPath could help optimize persistent depressive disorder treatment and reduce relapse by intensifying therapy and providing long-term patient support through the app.

Fostering compliance with physical distancing by interactive feedback in the context of the COVID-19 pandemic: A web-based randomized controlled trial.

Background: To slow down the spread of COVID-19, the observance of basic hygiene measures, and physical distancing is recommended. Initial findings suggest that physical distancing in particular can prevent the spread of COVID-19. Objectives: To investigate how information to prevent the spread of infectious diseases should be presented to increase willingness to comply with preventive measures. Methods: In a preregistered online experiment, 817 subjects were presented with either interactively controllable graphics on the spread of COVID-19 and information that enable them to recognize how much the spread of COVID-19 is reduced by physical distancing (experimental group) or text-based information about quantitative evidence (control group). It was hypothesized that participants receiving interactive information on the prevention of COVID-19 infections show a significantly higher willingness to comply with future containment measures than participants reading the text-based information. Explorative analyses were conducted to examine whether other factors influence compliance. Results: As predicted, we found a small effect (d = 0.22, 95% CI: 0.11; 0.23, p < .001) for the tested intervention. The exploratory analysis suggests a decline in compliance later in the study (r = -0.10, 95% CI: -0.15; -0.07). Another significant predictor of change in compliance was health-related anxiety, but the effect was trivial. Conclusions: When presented interactively, information on how the own behavior can help prevent infectious diseases can lead to slightly stronger changes in attitude towards behavioral prevention measures than just text-based information. Given the scalability of this simple internet-based intervention, it could play a role in fostering compliance during a pandemic within universal prevention strategies. Future work on the predictive validity of self-reported compliance and the real-world effects on the intervention is needed.

Efficacy of Augmentation of Cognitive Behavioral Therapy With Transcranial Direct Current Stimulation for Depression: A Randomized Clinical Trial.

Importance: Major depressive disorder (MDD) affects approximately 10% of the population globally. Approximately 20% to 30% of patients with MDD do not sufficiently respond to standard treatment. Therefore, there is a need to develop more effective treatment strategies. Objective: To investigate whether the efficacy of cognitive behavioral therapy (CBT) for the treatment of MDD can be enhanced by concurrent transcranial direct current stimulation (tDCS). Design, Setting, and Participants: The double-blind, placebo-controlled randomized clinical trial PsychotherapyPlus was conducted at 6 university hospitals across Germany. Enrollment took place between June 2, 2016, and March 10, 2020; follow-up was completed August 27, 2020. Adults aged 20 to 65 years with a single or recurrent depressive episode were eligible. They were either not receiving medication or were receiving a stable regimen of antidepressant medication (selective serotonin reuptake inhibitor and/or mirtazapine). A total of 148 women and men underwent randomization: 53 individuals were assigned to CBT alone (group 0), 48 to CBT plus tDCS (group 1), and 47 to CBT plus sham-tDCS (group 2). Interventions: Participants attended a 6-week group intervention comprising 12 sessions of CBT. If assigned, tDCS was applied simultaneously. Active tDCS included stimulation with an intensity of 2 mA for 30 minutes (anode over F3, cathode over F4). Main Outcomes and Measures: The primary outcome was the change in Montgomery-Åsberg Depression Rating Scale (MADRS) score from baseline to posttreatment in the intention-to-treat sample. Scores of 0 to 6 indicate no depression; 7 to 19, mild depression; 20 to 34, moderate depression; and 34 and higher, severe depression. Results: A total of 148 patients (89 women, 59 men; mean [SD] age, 41.1 [13.7] years; MADRS score at baseline, 23.0 [6.4]) were randomized. Of these, 126 patients (mean [SD] age, 41.5 [14.0] years; MADRS score at baseline, 23.0 [6.3]) completed the study. In each of the intervention groups, intervention was able to reduce MADRS scores by a mean of 6.5 points (95% CI, 3.82-9.14 points). The Cohen d value was -0.90 (95% CI, -1.43 to -0.50), indicating a significant effect over time. However, there was no significant effect of group and no significant interaction of group × time, indicating the estimated additive effects were not statistically significant. There were no severe adverse events throughout the whole trial, and there were no significant differences of self-reported adverse effects during and after stimulation between groups 1 and 2. Conclusions and Relevance: Based on MADRS score changes, this trial did not indicate superior efficacy of tDCS-enhanced CBT compared with 2 CBT control conditions. The study confirmed that concurrent group CBT and tDCS is safe and feasible. However, additional research on mechanisms of neuromodulation to complement CBT and other behavioral interventions is needed. Trial Registration: ClinicalTrials.gov Identifier: NCT02633449.

Neuromodulation through brain stimulation-assisted cognitive training in patients with post-COVID-19 cognitive impairment (Neuromod-COV): study protocol for a PROBE phase IIb trial.

INTRODUCTION: A substantial number of patients diagnosed with COVID-19 experience long-term persistent symptoms. First evidence suggests that long-term symptoms develop largely independently of disease severity and include, among others, cognitive impairment. For these symptoms, there are currently no validated therapeutic approaches available. Cognitive training interventions are a promising approach to counteract cognitive impairment. Combining training with concurrent transcranial direct current stimulation (tDCS) may further increase and sustain behavioural training effects. Here, we aim to examine the effects of cognitive training alone or in combination with tDCS on cognitive performance, quality of life and mental health in patients with post-COVID-19 subjective or objective cognitive impairments. METHODS AND ANALYSIS: This study protocol describes a prospective randomised open endpoint-blinded trial. Patients with post-COVID-19 cognitive impairment will either participate in a 3-week cognitive training or in a defined muscle relaxation training (open-label interventions). Irrespective of their primary intervention, half of the cognitive training group will additionally receive anodal tDCS, all other patients will receive sham tDCS (double-blinded, secondary intervention). The primary outcome will be improvement of working memory performance, operationalised by an n-back task, at the postintervention assessment. Secondary outcomes will include performance on trained and untrained tasks and measures of health-related quality of life at postassessment and follow-up assessments (1 month after the end of the trainings). ETHICS AND DISSEMINATION: Ethical approval was granted by the Ethics Committee of the University Medicine Greifswald (number: BB 066/21). Results will be available through publications in peer-reviewed journals and presentations at national and international conferences. TRIAL REGISTRATION NUMBER: NCT04944147.

Family involvement in psychotherapy for depression in children and adolescents: Systematic review and meta-analysis.

PURPOSE: Depressive disorders in children and adolescents have an enormous impact on their general quality of life. There is a clear need to effectively treat depression in this age group. Effects of psychotherapy can be enhanced by involving caregivers. In our systematic review and meta-analysis, we examine for the first time the effects of caregiver involvement in depression-specific interventions for children and adolescents. METHODS: We included randomized controlled trials examining the effects of interventions for children and adolescents with depression involving their caregivers or families compared to interventions without including caregivers. Primary outcome was the severity of childhood and adolescent depression. RESULTS: Overall, 19 randomized controlled trials could be included (N = 1553) that were highly heterogeneous regarding outcome measures or the extent of caregiver integration. We were able to include k = 17 studies in our meta-analysis and find a small but significant effect for family-involved interventions against active control conditions without family-involvement at post intervention (α = 0.05, d = 0.34; [0.07; 0.60]; p = .01). CONCLUSIONS: We detected an overall significant but small effect of family/caregivers' involvement compared to control groups without it. Structured, guideline-based research is urgently needed to identify for which children/adolescents with depression, under what circumstances, and in what form the family should be effectively involved in their psychotherapy.

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.

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.

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.