Efficacy of an Internet- and Mobile-Based Intervention for Subclinical Anxiety and Depression (ICare Prevent) with Two Guidance Formats: Results from a Three-Armed Randomized Controlled Trial.

INTRODUCTION: Limited research exists on intervention efficacy for comorbid subclinical anxiety and depressive disorders, despite their common co-occurrence. Internet- and mobile-based interventions (IMIs) are promising to reach individuals facing subclinical symptoms. OBJECTIVE: This study aimed to evaluate the efficacy of a transdiagnostic and self-tailored IMI in reducing subclinical anxiety and depressive symptom severity with either individualized (IG-IMI) or automated (AG-IMI) guidance compared to a waitlist control group with care-as-usual access (WLC). METHODS: Participants included 566 adults with subclinical anxiety (GAD-7 ≥ 5) and/or depressive (CES-D ≥16) symptoms, who did not meet criteria for a full-syndrome depressive or anxiety disorder. In a three-arm randomized clinical trial, participants were randomized to a cognitive behavioral 7-session IMI plus booster session with IG-IMI (n = 186) or AG-IMI (n = 189) or WLC (n = 191). Primary outcomes included observer-rated anxiety (HAM-A) and depressive (QIDS) symptom severity 8 weeks after randomization assessed by blinded raters via telephone. Follow-up outcomes at 6 and 12 months are reported. RESULTS: Symptom severity was significantly lower with small to medium effects in IG-IMI (anxiety: d = 0.45, depression: d = 0.43) and AG-IMI (anxiety: d = 0.31, depression: d = 0.32) compared to WLC. No significant differences emerged between guidance formats in primary outcomes. There was a significant effect in HAM-A after 6 months favoring AG-IMI. On average, participants completed 85.38% of IG-IMI and 77.38% of AG-IMI. CONCLUSIONS: A transdiagnostic, self-tailored IMI can reduce subclinical anxiety and depressive symptom severity, but 12-month long-term effects were absent. Automated guidance holds promise for enhancing the scalability of IMIs in broad prevention initiatives.

Comparison of the Working Alliance in Blended Cognitive Behavioral Therapy and Treatment as Usual for Depression in Europe: Secondary Data Analysis of the E-COMPARED Randomized Controlled Trial.

BACKGROUND: Increasing interest has centered on the psychotherapeutic working alliance as a means of understanding clinical change in digital mental health interventions in recent years. However, little is understood about how and to what extent a digital mental health program can have an impact on the working alliance and clinical outcomes in a blended (therapist plus digital program) cognitive behavioral therapy (bCBT) intervention for depression. OBJECTIVE: This study aimed to test the difference in working alliance scores between bCBT and treatment as usual (TAU), examine the association between working alliance and depression severity scores in both arms, and test for an interaction between system usability and working alliance with regard to the association between working alliance and depression scores in bCBT at 3-month assessments. METHODS: We conducted a secondary data analysis of the E-COMPARED (European Comparative Effectiveness Research on Blended Depression Treatment versus Treatment-as-usual) trial, which compared bCBT with TAU across 9 European countries. Data were collected in primary care and specialized services between April 2015 and December 2017. Eligible participants aged 18 years or older and diagnosed with major depressive disorder were randomized to either bCBT (n=476) or TAU (n=467). bCBT consisted of 6-20 sessions of bCBT (involving face-to-face sessions with a therapist and an internet-based program). TAU consisted of usual care for depression. The main outcomes were scores of the working alliance (Working Alliance Inventory-Short Revised-Client [WAI-SR-C]) and depressive symptoms (Patient Health Questionnaire-9 [PHQ-9]) at 3 months after randomization. Other variables included system usability scores (System Usability Scale-Client [SUS-C]) at 3 months and baseline demographic information. Data from baseline and 3-month assessments were analyzed using linear regression models that adjusted for a set of baseline variables. RESULTS: Of the 945 included participants, 644 (68.2%) were female, and the mean age was 38.96 years (IQR 38). bCBT was associated with higher composite WAI-SR-C scores compared to TAU (B=5.67, 95% CI 4.48-6.86). There was an inverse association between WAI-SR-C and PHQ-9 in bCBT (B=-0.12, 95% CI -0.17 to -0.06) and TAU (B=-0.06, 95% CI -0.11 to -0.02), in which as WAI-SR-C scores increased, PHQ-9 scores decreased. Finally, there was a significant interaction between SUS-C and WAI-SR-C with regard to an inverse association between higher WAI-SR-C scores and lower PHQ-9 scores in bCBT (b=-0.030, 95% CI -0.05 to -0.01; P=.005). CONCLUSIONS: To our knowledge, this is the first study to show that bCBT may enhance the client working alliance when compared to evidence-based routine care for depression that services reported offering. The working alliance in bCBT was also associated with clinical improvements that appear to be enhanced by good program usability. Our findings add further weight to the view that the addition of internet-delivered CBT to face-to-face CBT may positively augment experiences of the working alliance. TRIAL REGISTRATION: ClinicalTrials.gov NCT02542891, https://clinicaltrials.gov/study/NCT02542891; German Clinical Trials Register DRKS00006866, https://drks.de/search/en/trial/DRKS00006866; Netherlands Trials Register NTR4962, https://www.onderzoekmetmensen.nl/en/trial/25452; ClinicalTrials.Gov NCT02389660, https://clinicaltrials.gov/study/NCT02389660; ClinicalTrials.gov NCT02361684, https://clinicaltrials.gov/study/NCT02361684; ClinicalTrials.gov NCT02449447, https://clinicaltrials.gov/study/NCT02449447; ClinicalTrials.gov NCT02410616, https://clinicaltrials.gov/study/NCT02410616; ISRCTN Registry ISRCTN12388725, https://www.isrctn.com/ISRCTN12388725?q=ISRCTN12388725&filters=&sort=&offset=1&totalResults=1&page=1&pageSize=10; ClinicalTrials.gov NCT02796573, https://classic.clinicaltrials.gov/ct2/show/NCT02796573. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1186/s13063-016-1511-1.

[Internet-based self-help for loneliness-a systematic review]. / Internetbasierte Selbsthilfe bei Einsamkeit ­ Eine systematische Übersicht.

BACKGROUND: Recently, the phenomenon of loneliness has received increasing attention. Loneliness is widespread and can have adverse consequences for mental and physical health if prolonged. Internet-based interventions (IBIs) for self-help have proven to be effective for a variety of psychological disorders. Due to several specific aspects, IBIs are also a relevant option for loneliness. This systematic review aims to present the current research on self-help IBIs for reducing loneliness. METHODS: A systematic literature search was conducted in the databases Web of Science, PubMed, Scopus, PsycInfo, MedLine, PsycIndex, Cochrane Library and PsyArXiv between December 2023 and early January 2024. We included original German or English studies that addressed IBIs for self-help to reduce loneliness. RESULTS: In total, eight studies published between 2017 and 2024 were included in the qualitative analysis. All studies were conducted in high-income countries, included predominantly well-educated female adults and were mostly satisfactory regarding their internal validity. DISCUSSION: The results of this review suggest that self-help IBIs may be a promising option for alleviating loneliness. However, the work also points to the need for further research. Future studies should consider larger samples and people of different ages, genders and education levels in order to generalise the results of the present review.

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.

Intensity of Treatment as Usual and Its Impact on the Effects of Face-to-Face and Internet-Based Psychotherapy for Depression: A Preregistered Meta-Analysis of Randomized Controlled Trials.

INTRODUCTION: Treatment as usual (TAU) is the most frequently used control group in randomized trials of psychotherapy for depression. Concerns have been raised that the heterogeneity of treatments in TAU leads to biased estimates of psychotherapy efficacy and to an unclear difference between TAU and control groups like waiting list (WL). OBJECTIVE: We investigated the impact of control group intensity (i.e., amount and degree to which elements of common depression treatments are provided) on the effects of face-to-face and internet-based psychotherapy for depression. METHODS: We conducted a preregistered meta-analysis (www.osf.io/4mzyd). We included trials comparing psychotherapy with TAU or WL in patients with symptoms of unipolar depression. Six indicators were used to assess control group intensity. PRIMARY OUTCOME: Standardized mean difference (SMD) of psychotherapy and control in depressive symptoms at treatment termination. RESULTS: We included 89 trials randomizing 14,474 patients to 113 psychotherapy conditions and 89 control groups (TAU in 42 trials, WL in 47 trials). Control group intensity predicted trial results in preregistered (one-sided ps < 0.042) and exploratory analyses. Psychotherapy effects were significantly smaller (one-sided p = 0.002) in trials with higher intensity TAU (SMD = 0.324, CI 0.209 to 0.439) than in trials with lower intensity TAU (SMD = 0.628, CI 0.455 to 0.801). Psychotherapy effects against lower intensity TAU did not differ from effects against WL (two-sided p = 0.663). CONCLUSIONS: Our results suggest that variation in TAU intensity impacts the outcome of trials. More scrutiny in the design of control groups for clinical trials is recommended.

Effect of Sleep Disturbance Symptoms on Treatment Outcome in Blended Cognitive Behavioral Therapy for Depression (E-COMPARED Study): Secondary Analysis.

BACKGROUND: Sleep disturbance symptoms are common in major depressive disorder (MDD) and have been found to hamper the treatment effect of conventional face-to-face psychological treatments such as cognitive behavioral therapy. To increase the dissemination of evidence-based treatment, blended cognitive behavioral therapy (bCBT) consisting of web-based and face-to-face treatment is on the rise for patients with MDD. To date, no study has examined whether sleep disturbance symptoms have an impact on bCBT treatment outcomes and whether it affects bCBT and treatment-as-usual (TAU) equally. OBJECTIVE: The objectives of this study are to investigate whether baseline sleep disturbance symptoms have an impact on treatment outcomes independent of treatment modality and whether sleep disturbance symptoms impact bCBT and TAU in routine care equally. METHODS: The study was based on data from the E-COMPARED (European Comparative Effectiveness Research on Blended Depression Treatment Versus Treatment-as-Usual) study, a 2-arm, multisite, parallel randomized controlled, noninferiority trial. A total of 943 outpatients with MDD were randomized to either bCBT (476/943, 50.5%) or TAU consisting of routine clinical MDD treatment (467/943, 49.5%). The primary outcome of this study was the change in depression symptom severity at the 12-month follow-up. The secondary outcomes were the change in depression symptom severity at the 3- and 6-month follow-up and MDD diagnoses at the 12-month follow-up, assessed using the Patient Health Questionnaire-9 and Mini-International Neuropsychiatric Interview, respectively. Mixed effects models were used to examine the association of sleep disturbance symptoms with treatment outcome and treatment modality over time. RESULTS: Of the 943 patients recruited for the study, 558 (59.2%) completed the 12-month follow-up assessment. In the total sample, baseline sleep disturbance symptoms did not significantly affect change in depressive symptom severity at the 12-month follow-up (ß=.16, 95% CI -0.04 to 0.36). However, baseline sleep disturbance symptoms were negatively associated with treatment outcome for bCBT (ß=.49, 95% CI 0.22-0.76) but not for TAU (ß=-.23, 95% CI -0.50 to 0.05) at the 12-month follow-up, even when adjusting for baseline depression symptom severity. The same result was seen for the effect of sleep disturbance symptoms on the presence of depression measured with Mini-International Neuropsychiatric Interview at the 12-month follow-up. However, for both treatment formats, baseline sleep disturbance symptoms were not associated with depression symptom severity at either the 3- (ß=.06, 95% CI -0.11 to 0.23) or 6-month (ß=.09, 95% CI -0.10 to 0.28) follow-up. CONCLUSIONS: Baseline sleep disturbance symptoms may have a negative impact on long-term treatment outcomes in bCBT for MDD. This effect was not observed for TAU. These findings suggest that special attention to sleep disturbance symptoms might be warranted when MDD is treated with bCBT. Future studies should investigate the effect of implementing modules specifically targeting sleep disturbance symptoms in bCBT for MDD to improve long-term prognosis.

Stakeholders' views on online interventions to prevent common mental health disorders in adults implemented into existing healthcare systems in Europe.

BACKGROUND: Online preventive interventions can help to reduce the incidence of mental disorders. Whereas knowledge on stakeholders' attitudes and factors relevant for successfully integrating online treatment into existing healthcare systems is available, knowledge is scarce for online prevention. METHODS: Stakeholders from Germany, Switzerland, Austria and Spain were surveyed. Potential facilitators/delivery staff (e.g. psychologists, psychotherapists) completed an online questionnaire (n = 183), policy makers (i.e. from the governing sector or health insurance providers) participated in semi-structured interviews (n = 16) and target groups/potential users of mental illness prevention (n = 49) participated in ten focus groups. Thematic analysis was used to identify their experiences with and attitudes and needs regarding online programmes to prevent mental disorders. Additionally, it was examined which groups they consider underserved and which factors they consider as fostering and hindering for reach, adoption, implementation and maintenance (cf. RE-AIM model) when integrating online prevention into existing healthcare systems. RESULTS: Main advantages of online mental illness prevention are perceived in low structural and psychological barriers. Lack of personal contact, security, privacy and trust concerns were discussed as disadvantages. Relevant needs are high usability and target group appropriateness, evidence for effectiveness and the use of motivational tools. CONCLUSIONS: Positive attitudes among stakeholders are the key for successful integration of online mental illness prevention into existing healthcare systems. Potential facilitators/delivery staff must receive training and support to implement these programmes; the programmes must be attractive and continuously evaluated, updated and promoted to ensure ongoing reach; and existing infrastructure and contextual factors must be considered.

Effects of patient-therapist interpersonal complementarity on alliance and outcome in cognitive-behavioral therapies for depression: Moving toward interpersonal responsiveness.

This study analyzed patient-therapist in-session interpersonal complementarity effects on the therapeutic alliance and depression severity during the initial and working phase of cognitive-behavioral therapy for depression. It also explored whether patients' interpersonal problems moderate those complementarity effects. We drew on a sample of 90 dyads derived from a randomized controlled trial of two cognitive-behavioral therapies for depression. Using an observer-based measure, we assessed patients' and therapists' interpersonal behavior in Sessions 1, 5, 9, and 13 and computed their complementarity regarding interpersonal affiliation (i.e., correspondence) and dominance (i.e., reciprocity). Patients completed measures of interpersonal problems at baseline and session-by-session measures of depression severity and quality of the therapeutic alliance. Response surface analyses based on polynomial regressions showed that patient-therapist complementarity in higher affiliative behaviors was associated with a stronger alliance. Interpersonal problems regarding agency moderated the complementarity effects of the dominance dimensions on depression severity. Overly dominant patients benefited more from a nonreciprocal relationship in the dominance dimension, whereas submissive patients benefited more from complementarity in that dimension. Furthermore, interpersonal problems of communion significantly moderated the effects of complementarity in affiliative behaviors on both the alliance and outcome. These results suggest the relevance of both interpersonal correspondence and reciprocity for the psychotherapy process, informing clinical practice in terms of interpersonal responsiveness. The moderation effects of interpersonal problems provide preliminary evidence, which should be replicated in future research, to determine relevant markers indicating for whom a complementary approach would be beneficial in cognitive therapy for depression. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

User Experience and Effects of an Individually Tailored Transdiagnostic Internet-Based and Mobile-Supported Intervention for Anxiety Disorders: Mixed-Methods Study.

BACKGROUND: Internet interventions have been shown to be effective in treating anxiety disorders. Most interventions to date focus on single disorders and disregard potential comorbidities. OBJECTIVE: The aim of this mixed-methods study was to investigate feasibility, user experience, and effects of a newly developed individually tailored transdiagnostic guided internet intervention for anxiety disorders. METHODS: This study is an uncontrolled, within-group, baseline, postintervention pilot trial with an embedded qualitative and quantitative process and effect evaluation. In total, 49 adults with anxiety disorders (generalized anxiety disorder n=20, social phobia n=19, agoraphobia without panic n=12, panic with agoraphobia n=6, panic without agoraphobia n=4, subclinical depression n=41) received access to the 7-session intervention. We examined motivation and expectations, intervention use, user experience, impact, and modification requests. Qualitative data were assessed using semistructured interviews and analyzed by qualitative content analysis. Quantitative outcomes included symptom severity of anxiety and depression (Hamilton Anxiety Rating Scale [HAM-A], Quick Item Inventory of Depressive Symptomatology clinician rating [QIDS-C]), diagnostic status in clinical interviews (Mini International Neuropsychiatric Interview [MINI]), and web-based self-reports (Generalized Anxiety Disorder-7 [GAD-7], Center for Epidemiological Studies Depression Scale [CES-D], Beck Anxiety Inventory [BAI], Panic and Agoraphobia Scale [PAS], Social Phobia Scale [SPS], Patient Health Questionnaire-9 [PHQ-9]) at baseline and postassessment. Quantitative data was analyzed by comparing within-group means expressed as Cohen d. RESULTS: Anxiety symptom severity (HAM-A d=1.19) and depressive symptoms (QIDS-C d=0.42) improved significantly, and 54% (21/39) no longer were diagnosed as having any anxiety disorder. The main positive effects were the general improvement of disease burden and attentiveness to feelings and risk situations while the main negative effects experienced were lack of change in disease burden and symptom deterioration. The most prevalent reasons for participation were the advantages of online treatment, symptom burden, and openness toward online treatment. Helpful factors included support, psychoeducation and practicing strategies in daily life; the main hindering factors were too little individualization and being overwhelmed by the content and pace. CONCLUSIONS: The intervention was found to be feasible and results show preliminary data indicating potential efficacy for improving anxiety and depression. The next step should be the evaluation within a randomized controlled trial. Concerning intervention development, it was found that future interventions should emphasize individualization even more in order to further improve the fit to individual characteristics, preferences, and needs.

The Association of Therapeutic Alliance With Long-Term Outcome in a Guided Internet Intervention for Depression: Secondary Analysis From a Randomized Control Trial.

BACKGROUND: Therapeutic alliance has been well established as a robust predictor of face-to-face psychotherapy outcomes. Although initial evidence positioned alliance as a relevant predictor of internet intervention success, some conceptual and methodological concerns were raised regarding the methods and instruments used to measure the alliance in internet interventions and its association with outcomes. OBJECTIVE: The aim of this study was to explore the alliance-outcome association in a guided internet intervention using a measure of alliance especially developed for and adapted to guided internet interventions, showing evidence of good psychometric properties. METHODS: A sample of 223 adult participants with moderate depression received an internet intervention (ie, Deprexis) and email support. They completed the Working Alliance Inventory for Guided Internet Intervention (WAI-I) and a measure of treatment satisfaction at treatment termination and measures of depression severity and well-being at termination and 3- and 9-month follow-ups. For data analysis, we used two-level hierarchical linear modeling that included two subscales of the WAI-I (ie, tasks and goals agreement with the program and bond with the supporting therapist) as predictors of the estimated values of the outcome variables at the end of follow-up and their rate of change during the follow-up period. The same models were also used controlling for the effect of patient satisfaction with treatment. RESULTS: We found significant effects of the tasks and goals subscale of the WAI-I on the estimated values of residual depressive symptoms (γ02=-1.74, standard error [SE]=0.40, 95% CI -2.52 to -0.96, t206=-4.37, P<.001) and patient well-being (γ02=3.10, SE=1.14, 95% CI 0.87-5.33, t198=2.72, P=.007) at the end of follow-up. A greater score in this subscale was related to lower levels of residual depressive symptoms and a higher level of well-being. However, there were no significant effects of the tasks and goals subscale on the rate of change in these variables during follow-up (depressive symptoms, P=.48; patient well-being, P=.26). The effects of the bond subscale were also nonsignificant when predicting the estimated values of depressive symptoms and well-being at the end of follow-up and the rate of change during that period (depressive symptoms, P=.08; patient well-being, P=.68). CONCLUSIONS: The results of this study point out the importance of attuning internet interventions to patients' expectations and preferences in order to enhance their agreement with the tasks and goals of the treatment. Thus, the results support the notion that responsiveness to a patient's individual needs is crucial also in internet interventions. Nevertheless, these findings need to be replicated to establish if they can be generalized to different diagnostic groups, internet interventions, and supporting formats.

The Working Alliance Inventory for guided Internet interventions (WAI-I).

OBJECTIVE: This study analyses the psychometric properties of the Working Alliance Inventory adapted for guided Internet interventions (WAI-I). METHODS: We drew on the data set from a multicenter trial that examined a guided Internet intervention (deprexis) for patients with mild to moderate depression. Two hundred twenty-three patients completed the WAI-I and the Patient Satisfaction Questionnaire (ZUF-8) at posttreatment, and the Attitudes toward Psychological Online-Interventions Questionnaire (APOI) at baseline. We ran confirmatory factor analyses (CFA) testing two- and three-factor solutions and calculated Cronbach's α, item-total correlations, and correlations of the WAI-I with APOI and ZUF-8. RESULTS: The results suggested a two-factor solution, with a very good model fit and evidence of factor independency, adequate internal consistency, and external validity for the complete scale and the sub-scales. CONCLUSIONS: The WAI-I showed as a reliable and valid instrument to capture alliance in guided Internet interventions, which might facilitate process-outcome research and treatment development efforts.

[Internet-based psychotherapeutic interventions]. / Internet-Interventionen in der Psychotherapie.

Over the past few years, research and application of internet-based psychotherapeutic interventions has grown rapidly. This kind of new therapeutic format offers a variety of chances for treating patients with psychotherapeutic disorders, but also arouses skepticism and concerns. This overview focuses on different forms of internet-based psychotherapeutic interventions, reflects the current state of research, and points out new areas of development as well as its implementation in daily practice.

Using the Personalized Advantage Index for individual treatment allocation to cognitive behavioral therapy (CBT) or a CBT with integrated exposure and emotion-focused elements (CBT-EE).

Even though different psychotherapeutic interventions for depression have shown to be effective, patients suffering from depression vary substantially in their treatment response. The goal of this study was to answer the following research questions: (1) What are the most important predictors determining optimal treatment allocation to cognitive behavioral therapy (CBT) or CBT with integrated exposure and emotion-focused elements (CBT-EE)?, and (2) Would model-determined treatment allocation using this predictive information result in better treatment outcomes? Bayesian Model Averaging (BMA) was applied to the data of a randomized controlled trial comparing the efficacy of CBT and CBT-EE in depressive outpatients. Predictions were made for every patient for both treatment conditions and an optimal versus a suboptimal treatment was identified in each case. An index comparing the two estimates, the Personalized Advantage Index (PAI), was calculated. Different predictors were found for both conditions. A PAI of 1.35 BDI-II points for the two conditions was found and 46% of the sample was predicted to have a clinically meaningful advantage in one of the therapies. Although the utility of the PAI approach must be further confirmed in prospective research, the present study study promotes the identification of specific interventions favorable for specific patients.

[Internet-Based Psychotherapeutic Interventions]. / Internet-Interventionen in der Psychotherapie.

Over the past few years, research and application of internet-based psychotherapeutic interventions has grown rapidly. This kind of new therapeutic format offers a variety of chances for treating patients with psychotherapeutic disorders, but also arouses skepticism and concerns. This overview focuses on different forms of internet-based psychotherapeutic interventions, reflects the current state of research, and points out new areas of development as well as its implementation in daily practice.

Patient characteristics and the therapist as predictors of depressed patients' outcome expectation over time: A multilevel analysis.

Objective: Although there is an established link between patients' early positive outcome expectation for and their actual improvement from therapy, there is little research on patients' change in outcome expectation across therapy and both patient and therapist correlates of early outcome expectation level and change. The present study examined: (i) the overall trajectory of change in patients' outcome expectation through cognitive-behavioral therapy (CBT) for depression; (ii) patient characteristics as predictors of both initial outcome expectation and change in outcome expectation; and (iii) between-therapist effects in outcome expectation change. Method: Depressed patients (N = 143) received a brief course of CBT. Outcome expectation was measured at screening, pretreatment, session 7, and session 14. Results: Outcome expectation linearly increased from screening to session 14. When controlling for other patient characteristics at intake, having previous depressive episodes was negatively associated with initial outcome expectation and higher well-being was positively associated with initial outcome expectation. When controlling for early alliance and early symptom change, outcome expectation change was predicted by previous depressive episodes. Finally, therapist effects emerged in outcome expectation over time. Conclusions: Various depressed patients' characteristics predict initial outcome expectation level and change, with significant between-therapists' differences related to outcome expectation change.

A patient post hoc perspective on advantages and disadvantages of blended cognitive behaviour therapy for depression: A qualitative content analysis.

Background: Blended cognitive behavioural therapy (bCBT), which combines face-to-face (FtF), and internet-based cognitive behavioural therapy (iCBT), may be a particularly promising approach, but little is known about the effectiveness and patients' subjective evaluations of the bCBT format. The aim of this qualitative study is to explore perceived advantages and disadvantages of bCBT from the patients' perspective in specialized mental health care. Methods: Semi-structured interviews were conducted with 15 patients suffering from major depression who underwent treatment in a bCBT format. The interview data were processed by means of a qualitative content analysis. Results: The content analysis generated 18 advantages and 15 disadvantages which were grouped into 6 main topics. In general, bCBT was perceived as purposive and effective for treating depression. The patients perceived the combined treatment as complementary and emphasized the advantage of the constant availability of the online programme. Furthermore, a segment analysis revealed that patients reported different advantages and disadvantages of bCBT as a function of the severity of their depressive episode. Conclusion: The findings of the present study reveal advantages and disadvantages of bCBT, which should be taken into account in the further implementation of this new treatment format. Clinical or methodological significance of this article: Blended treatment seems to balance missing aspects of stand-alone internet-based and face-to-face treatment for depression. Patients suffering from major depression perceived the blended format as purposive and effective after 18 weeks. Patients with different levels of depression severity may perceive different advantages and disadvantages of blended treatment for depression.

A randomized-controlled trial of cognitive-behavioral therapy for depression with integrated techniques from emotion-focused and exposure therapies.

BACKGROUND: Emotional processing (EP) is hypothesized to be a key mechanism of change in psychotherapy that may enhance its long-term efficacy. To study the effects of fostering EP in psychotherapy for depression, this randomized-controlled clinical trial compares the efficacy and pattern of change of a cognitive-behavioral therapy that integrates emotion-focused techniques within an exposure framework (Exposure-Based Cognitive Therapy for depression; EBCT-R) to a standard cognitive-behavioral therapy (CBT). METHODS: One hundred and forty-nine depressed outpatients were randomized to a maximum of 22 sessions of manualized EBCT-R (N = 77) or CBT (N = 72). Primary outcomes were self-reported and clinician-rated depressive symptoms at posttreatment and 12-month follow-up. Secondary outcomes were self-esteem, interpersonal problems, and avoidance thoughts and behaviors. RESULTS: Depressive symptoms improved significantly over therapy in both treatments, with large within-group effect sizes for CBT (d = -1.95) and EBCT-R (d = -1.77). The pattern of depression change during treatment did not differ between treatments. Symptom relief lasted over 12 months and did not differ between EBCT-R and CBT. CONCLUSIONS: Results suggest that both treatments produced significant short- and long-term improvement in depression symptoms, but the integration of emotion-focused techniques within an exposure framework did not have added benefit. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT01012856 Clinical or methodological significance of this article: This trial compares cognitive-behavioral therapy (CBT) with a similarly structured CBT that was designed to foster emotional processing by integrating emotion-focused techniques within an exposure framework. Results indicate that this form of assimilative integration did not improve outcomes at 12-month follow-up.

Volume-Targeted Ventilation in the Neonate: Benchmarking Ventilators on an Active Lung Model.

OBJECTIVE: Mechanically ventilated neonates have been observed to receive substantially different ventilation after switching ventilator models, despite identical ventilator settings. This study aims at establishing the range of output variability among 10 neonatal ventilators under various breathing conditions. DESIGN: Relative benchmarking test of 10 neonatal ventilators on an active neonatal lung model. SETTING: Neonatal ICU. SUBJECTS: Ten current neonatal ventilators. INTERVENTIONS: Ventilators were set identically to flow-triggered, synchronized, volume-targeted, pressure-controlled, continuous mandatory ventilation and connected to a neonatal lung model. The latter was configured to simulate three patients (500, 1,500, and 3,500 g) in three breathing modes each (passive breathing, constant active breathing, and variable active breathing). MEASUREMENTS AND MAIN RESULTS: Averaged across all weight conditions, the included ventilators delivered between 86% and 110% of the target tidal volume in the passive mode, between 88% and 126% during constant active breathing, and between 86% and 120% under variable active breathing. The largest relative deviation occurred during the 500 g constant active condition, where the highest output machine produced 147% of the tidal volume of the lowest output machine. CONCLUSIONS: All machines deviate significantly in volume output and ventilation regulation. These differences depend on ventilation type, respiratory force, and patient behavior, preventing the creation of a simple conversion table between ventilator models. Universal neonatal tidal volume targets for mechanical ventilation cannot be transferred from one ventilator to another without considering necessary adjustments.

Self-reported interpersonal problems and impact messages as perceived by significant others are differentially associated with the process and outcome of depression therapy.

Interpersonal factors play a major role in causing and maintaining depression. This study sought to investigate how patients' self-perceived interpersonal problems and impact messages as perceived by significant others are interrelated, change over therapy, and differentially predict process and outcome in psychotherapy of depression. For the present study, we used data from 144 outpatients suffering from major depression that were treated within a psychotherapy study. Interpersonal variables were assessed pre- and posttherapy with the self-report Inventory of Interpersonal Problems-Circumplex Scale (IIP-32; Thomas, Brähler, & Strauss, 2011) and with the informant-based Impact Message Inventory (Caspar, Berger, Fingerle, & Werner, 2016). Patients' levels on the dimensions of Agency and Communion were calculated from both measures; their levels on Interpersonal Distress were measured with the IIP. Depressive and general symptomatology was assessed at pre-, post-, and at 3-month follow-up; patient-reported process measures were assessed during therapy. The Agency scores of IIP and IMI correlated moderately, but the Communion scores did not. IIP Communion was positively associated with the quality of the early therapeutic alliance and with the average level of cognitive-emotional processing during therapy. Whereas IIP Communion and IMI Agency increased over therapy, IIP Distress decreased. A pre-post-decrease in IIP Distress was positively associated with pre-postsymptomatic change over and above the other interpersonal variables, but pre-post-increase in IMI Agency was positively associated with symptomatic improvement from post- to 3-month follow-up. These findings suggest that significant others seem to provide important additional information about the patients' interpersonal style. (PsycINFO Database Record