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Depression: HELP
Articles by David Daniel Ebert
Based on 79 articles published since 2010
(Why 79 articles?)
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Between 2010 and 2020, D. D. Ebert wrote the following 79 articles about Depression.
 
+ Citations + Abstracts
Pages: 1 · 2 · 3 · 4
1 Review Practitioner Review: Unguided and guided self-help interventions for common mental health disorders in children and adolescents: a systematic review and meta-analysis. 2019

Bennett, Sophie D / Cuijpers, Pim / Ebert, David Daniel / McKenzie Smith, Mhairi / Coughtrey, Anna E / Heyman, Isobel / Manzotti, Grazia / Shafran, Roz. ·UCL Great Ormond Street Institute of Child Health, London, UK. · Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health research institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands. · Friedrich Alexander University of Erlangen Nurnberg, Erlangen, Germany. · Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK. ·J Child Psychol Psychiatry · Pubmed #30775782.

ABSTRACT: Mental health problems are common in children and adolescents, yet evidence-based treatments are hard to access. Self-help interventions can increase such access. The aim of this paper was to conduct a systematic review and meta-analysis of the use of guided and unguided self-help for children and young people with symptoms of common mental health disorders. In contrast to previous reviews of self-help in children, all types of self-help and multiple mental health disorders were investigated in order to increase power to investigate potential moderators of efficacy. Importantly, studies with control arms as well as those comparing against traditional face-to-face treatments were included. Fifty studies (n = 3396 participants in self-help/guided self-help conditions) met the inclusion criteria. Results demonstrated a moderate positive effect size for guided and unguided self-help interventions when compared against a control group (n = 44; g = 0.49; 95% CI: 0.37 to 0.61, p < .01) and a small but significant negative effect size when compared to other therapies (n = 15; g = -0.17; 95% CI: -0.27 to -0.07, p < .01). Few potential moderators had a significant effect on outcome. Most comparisons resulted in significant heterogeneity and therefore results are interpreted with caution.

2 Review Negative effects of psychotherapies for adult depression: A meta-analysis of deterioration rates. 2018

Cuijpers, Pim / Reijnders, Mirjam / Karyotaki, Eirini / de Wit, Leonore / Ebert, David D. ·Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health research institute, Vrije Universiteit Amsterdam, The Netherlands. Electronic address: p.cuijpers@vu.nl. · Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health research institute, Vrije Universiteit Amsterdam, The Netherlands. · Clinical Psychology and Psychotherapy, Institute for Psychology, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany. ·J Affect Disord · Pubmed #30005327.

ABSTRACT: BACKGROUND: The risk for deterioration in patients receiving psychotherapy for adult depression has not been examined extensively and it is not clear whether psychotherapy reduces this risk or may even increase it in some patients. We conducted a meta-analysis of trials comparing these psychotherapies with control conditions that report deterioration rates. METHODS: We used an existing database of randomized trials on psychotherapies for adult depression which was updated up to 1/1/2017, through systematic searches in bibliographic databases. We included trials that reported clinically significant deterioration rates. RESULTS: We included 18 studies with 23 comparisons between therapy and control groups. The pooled risk ratio of deterioration was 0.39 (95% CI: 0.27∼0.57), indicating that patients in the psychotherapy groups have a 61% lower chance to deteriorate than patients in the control groups. We found that 20 patients need to be treated with psychotherapy in order to avoid one case of deterioration, compared to the control conditions. The median deterioration rate in the therapy groups was 4%, and in some studies more than 10%, indicating that clinicians should always be aware of the risk of deterioration. LIMITATIONS: The results should be considered with caution because most studies had at least some risk of bias. Only 6% of all trials comparing psychotherapy with a control condition reported deterioration rates, using different ways to define deterioration which made pooling the prevalence rates across treatments and control groups impossible. CONCLUSIONS: Psychological treatments of adult depression may reduce the risk for deterioration, compared to control groups, but this should be considered with caution because of the small proportion of studies reporting deterioration rates.

3 Review Do guided internet-based interventions result in clinically relevant changes for patients with depression? An individual participant data meta-analysis. 2018

Karyotaki, Eirini / Ebert, David Daniel / Donkin, Liesje / Riper, Heleen / Twisk, Jos / Burger, Simone / Rozental, Alexander / Lange, Alfred / Williams, Alishia D / Zarski, Anna Carlotta / Geraedts, Anna / van Straten, Annemieke / Kleiboer, Annet / Meyer, Björn / Ünlü Ince, Burçin B / Buntrock, Claudia / Lehr, Dirk / Snoek, Frank J / Andrews, Gavin / Andersson, Gerhard / Choi, Isabella / Ruwaard, Jeroen / Klein, Jan Philipp / Newby, Jill M / Schröder, Johanna / Laferton, Johannes A C / Van Bastelaar, Kim / Imamura, Kotaro / Vernmark, Kristofer / Boß, Leif / Sheeber, Lisa B / Kivi, Marie / Berking, Matthias / Titov, Nickolai / Carlbring, Per / Johansson, Robert / Kenter, Robin / Perini, Sarah / Moritz, Steffen / Nobis, Stephanie / Berger, Thomas / Kaldo, Viktor / Forsell, Yvonne / Lindefors, Nils / Kraepelien, Martin / Björkelund, Cecilia / Kawakami, Norito / Cuijpers, Pim. ·Department of Clinical Psychology, Amsterdam Public Health research institute, VU, Amsterdam, the Netherlands. Electronic address: e.karyotaki@vu.nl. · Department of Clinical Psychology and Psychotherapy, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany. · The Brain and Mind Research Institute, University of Sydney, NSW 2050, Australia. · Department of Clinical Psychology, Amsterdam Public Health research institute, VU, Amsterdam, the Netherlands. · Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU University Amsterdam, Amsterdam, the Netherlands. · Institute of Child Health, University College London, United Kingdom; Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Sweden. · Department of Clinical Psychology, University of Amsterdam, Amsterdam, the Netherlands. · Department of Clinical Psychology, Utrecht University, Utrecht, the Netherlands. · HumanTotalCare, Utrecht, the Netherlands. · Research Department, Gaia AG, Hamburg, Germany; Department of Psychology, City, University of London, London, United Kingdom. · Informatics Institute, Middle East Technical University, Ankara, Turkey. · Institute of Psychology, Leuphana University Lüneburg, Germany. · Department of Medical Psychology, VU Medical Center, Academic Medical Center, Public Health Research institute, Amsterdam, the Netherlands. · Clinical Research Unit for Anxiety and Depression, School of Psychiatry, University of New South Wales at St Vincent's Hospital, Darlinghurst, NSW, Australia. · Department of Behavioral Sciences and Learning, Linköping University, Department of Clinical Neuroscience, Psychiatry Section, Karolinska Institute for Disability Research, Stockholm, Sweden. · Brain and Mind Centre, University of Sydney, Sydney, Australia. · Department of Psychiatry and Psychotherapy, Luebeck University, Luebeck, Germany. · Clinical Research Unit for Anxiety and Depression, School of Psychiatry, University of New South Wales at St Vincent's Hospital, Darlinghurst, NSW, Australia; The MRC Cognition and Brain Sciences Unit, Cambridge, United Kingdom; School of Psychology, the University of New South Wales, Sydney, Australia. · Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Institute for Sex Research and Forensic Psychiatry, Hamburg, Germany. · Department of Medical Psychology, VU Medical Center, Amsterdam, the Netherlands. · Department of Mental Health, School of Public Health, Graduate School of Medicine, The University of Tokyo, Bunkyō-ku, Tokyo, Japan. · Department of Behavioural Sciences and Learning, Linkoping University, Linkoping, Sweden. · Oregon Research Institute, Eugene, OR, USA. · Department of Psychology, University of Gothenburg, Göteborg, Sweden. · MindSpot Clinic and eCentreClinic, Department of Psychology, Macquarie University, Australia. · Department of Psychology, Stockholm University, Stockholm, Sweden; Department of Psychology, University of Southern Denmark, Denmark. · Department of Behavioral Sciences and Learning, Linköping University, and Department of Clinical Neuroscience, Division of Psychiatry, Karolinska Institutet, Stockholm, Sweden. · Department of Clinical Psychology, University of Bergen, Bergen, Norway. · Clinical Research Unit for Anxiety and Depression, St Vincent's Hospital, Sydney, New South Wales, Australia. · Division of Online Health Training, Innovation Incubator, Leuphana University Lüneburg, Germany. · Department of Clinical Psychology and Psychotherapy, University of Bern, Bern, Switzerland. · Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Sweden; Department of Psychology, Faculty of Health and Life Sciences, Linnaeus University, Växjö, Sweden. · Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Sweden. · Department of Primary Health Care, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden. ·Clin Psychol Rev · Pubmed #29940401.

ABSTRACT: Little is known about clinically relevant changes in guided Internet-based interventions for depression. Moreover, methodological and power limitations preclude the identification of patients' groups that may benefit more from these interventions. This study aimed to investigate response rates, remission rates, and their moderators in randomized controlled trials (RCTs) comparing the effect of guided Internet-based interventions for adult depression to control groups using an individual patient data meta-analysis approach. Literature searches in PubMed, Embase, PsycINFO and Cochrane Library resulted in 13,384 abstracts from database inception to January 1, 2016. Twenty-four RCTs (4889 participants) comparing a guided Internet-based intervention with a control group contributed data to the analysis. Missing data were multiply imputed. To examine treatment outcome on response and remission, mixed-effects models with participants nested within studies were used. Response and remission rates were calculated using the Reliable Change Index. The intervention group obtained significantly higher response rates (OR = 2.49, 95% CI 2.17-2.85) and remission rates compared to controls (OR = 2.41, 95% CI 2.07-2.79). The moderator analysis indicated that older participants (OR = 1.01) and native-born participants (1.66) were more likely to respond to treatment compared to younger participants and ethnic minorities respectively. Age (OR = 1.01) and ethnicity (1.73) also moderated the effects of treatment on remission.Moreover, adults with more severe depressive symptoms at baseline were more likely to remit after receiving internet-based treatment (OR = 1.19). Guided Internet-based interventions lead to substantial positive treatment effects on treatment response and remission at post-treatment. Thus, such interventions may complement existing services for depression and potentially reduce the gap between the need and provision of evidence-based treatments.

4 Review Efficacy and moderators of psychological interventions in treating subclinical symptoms of depression and preventing major depressive disorder onsets: protocol for an individual patient data meta-analysis of randomised controlled trials. 2018

Ebert, David D / Buntrock, Claudia / Reins, Jo Annika / Zimmermann, Johannes / Cuijpers, Pim. ·Department of Clinical Psychology and Psychotherapy, Friedrich-Alexander University Erlangen Nuremberg, Erlangen, Germany. · Institute of Psychology, Leuphana University of Luneburg, Luneburg, Germany. · Chair for Psychological Methods and Diagnostics, Psychologische Hochschule Berlin, Berlin, Germany. · Department of Clinical, Neuro and Developmental Psychology, EMGO+ Institute for Health and Care Research, VU University Amsterdam, Amsterdam, The Netherlands. ·BMJ Open · Pubmed #29549201.

ABSTRACT: INTRODUCTION: The long-term effectiveness of psychological interventions for the treatment of subthreshold depression and the prevention of depression is unclear and effects vary among subgroups of patients, indicating that not all patients profit from such interventions. Randomised clinical trials are mostly underpowered to examine adequately subgroups and moderator effects. The aim of the present study is, therefore, to examine the short-term and long-term as well as moderator effects of psychological interventions compared with control groups in adults with subthreshold depression on depressive symptom severity, treatment response, remission, symptom deterioration, quality of life, anxiety and the prevention of major depressive disorder (MDD) onsets on individual patient level and study level using an individual patient data meta-analysis approach. METHODS AND ANALYSIS: Systematic searches in PubMed, PsycINFO, Embase and the Cochrane Central Register of Controlled Trials were conducted. We will use the following types of outcome criteria: (A) onset of major depression; (B) time to major depression onset; (C) observer-reported and self-reported depressive symptom severity; (D) response; (E) remission; (F) symptom deterioration; (G) quality of life, (H) anxiety; and (I) suicidal thoughts and behaviours. Multilevel models with participants nested within studies will be used. Missing data will be handled using a joint modelling approach to multiple imputation. A number of sensitivity analyses will be conducted in order test the robustness of our findings. ETHICS AND DISSEMINATION: The investigators of the primary trials have obtained ethical approval for the data used in the present study and for sharing the data, if this was necessary, according to local requirements and was not covered from the initial ethic assessment.This study will summarise the available evidence on the short-term and long-term effectiveness of preventive psychological interventions for the treatment of subthreshold depression and prevention of MDD onset. Identification of subgroups of patients in which those interventions are most effective will guide the development of evidence-based personalised interventions for patients with subthreshold depression. PROSPERO REGISTRATION NUMBER: CRD42017058585.

5 Review Cost effectiveness of guided Internet-based interventions for depression in comparison with control conditions: An individual-participant data meta-analysis. 2018

Kolovos, Spyros / van Dongen, Johanna M / Riper, Heleen / Buntrock, Claudia / Cuijpers, Pim / Ebert, David D / Geraedts, Anna S / Kenter, Robin M / Nobis, Stephanie / Smith, Andrea / Warmerdam, Lisanne / Hayden, Jill A / van Tulder, Maurits W / Bosmans, Judith E. ·Department of Health Sciences, Faculty of Earth and Life Sciences, Amsterdam Public Health Research Institute, VU University Amsterdam, Amsterdam, The Netherlands. · Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands. · Department of Clinical Psychology and Psychotherapy, Institute of Psychology, University of Erlangen-Nürnberg, Nägelsbachstr, Erlangen, Germany. · ArboNed, Utrecht, The Netherlands. · Division of Online Health Training, Innovation Incubator, Leuphana University Lueneburg, Lueneburg, Germany. · Department of Community Health and Epidemiology, Faculty of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada. · Stichting Benchmark GGZ (the Dutch Benchmark Foundation in Mental Health Care), Bilthoven, The Netherlands. ·Depress Anxiety · Pubmed #29329486.

ABSTRACT: BACKGROUND: There is limited evidence on the cost effectiveness of Internet-based treatments for depression. The aim was to evaluate the cost effectiveness of guided Internet-based interventions for depression compared to controls. METHODS: Individual-participant data from five randomized controlled trials (RCT), including 1,426 participants, were combined. Cost-effectiveness analyses were conducted at 8 weeks, 6 months, and 12 months follow-up. RESULTS: The guided Internet-based interventions were more costly than the controls, but not statistically significant (12 months mean difference = €406, 95% CI: - 611 to 1,444). The mean differences in clinical effects were not statistically significant (12 months mean difference = 1.75, 95% CI: - .09 to 3.60 in Center for Epidemiologic Studies Depression Scale [CES-D] score, .06, 95% CI: - .02 to .13 in response rate, and .00, 95% CI: - .03 to .03 in quality-adjusted life-years [QALYs]). Cost-effectiveness acceptability curves indicated that high investments are needed to reach an acceptable probability that the intervention is cost effective compared to control for CES-D and response to treatment (e.g., at 12-month follow-up the probability of being cost effective was .95 at a ceiling ratio of 2,000 €/point of improvement in CES-D score). For QALYs, the intervention's probability of being cost effective compared to control was low at the commonly accepted willingness-to-pay threshold (e.g., at 12-month follow-up the probability was .29 and. 31 at a ceiling ratio of 24,000 and 35,000 €/QALY, respectively). CONCLUSIONS: Based on the present findings, guided Internet-based interventions for depression are not considered cost effective compared to controls. However, only a minority of RCTs investigating the clinical effectiveness of guided Internet-based interventions also assessed cost effectiveness and were included in this individual-participant data meta-analysis.

6 Review Prevention of Mental Health Disorders Using Internet- and Mobile-Based Interventions: A Narrative Review and Recommendations for Future Research. 2017

Ebert, David Daniel / Cuijpers, Pim / Muñoz, Ricardo F / Baumeister, Harald. ·Clinical Psychology and Psychotherapy, Friedrich-Alexander University of Erlangen-Nürnberg, Erlangen, Germany. · Department of Clinical, Neuro and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands. · Palo Alto University, Palo Alto, CA, United States. · University of California, San Francisco, San Francisco, CA, United States. · Department of Clinical Psychology and Psychotherapy, University of Ulm, Ulm, Germany. ·Front Psychiatry · Pubmed #28848454.

ABSTRACT: Although psychological interventions might have a tremendous potential for the prevention of mental health disorders (MHD), their current impact on the reduction of disease burden is questionable. Possible reasons include that it is not practical to deliver those interventions to the community

7 Review The Benefit of Web- and Computer-Based Interventions for Stress: A Systematic Review and Meta-Analysis. 2017

Heber, Elena / Ebert, David Daniel / Lehr, Dirk / Cuijpers, Pim / Berking, Matthias / Nobis, Stephanie / Riper, Heleen. ·Department of Health Psychology and Applied Biological Psychology, Institute of Psychology, Leuphana University Lueneburg, Lueneburg, Germany. · Division of Online Health Training, Innovation Incubator, Leuphana University Lueneburg, Lueneburg, Germany. · Faculty of Social and Human Sciences, University of Southampton, Southampton, United Kingdom. · Department of Clinical Psychology and Psychotherapy, Friedrich-Alexander-University Erlangen Nuremberg, Erlangen, Germany. · Department of Clinical, Neuro and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands. · Telepsychiatric Centre, University of Southern Denmark, Odense, Denmark. ·J Med Internet Res · Pubmed #28213341.

ABSTRACT: BACKGROUND: Stress has been identified as one of the major public health issues in this century. New technologies offer opportunities to provide effective psychological interventions on a large scale. OBJECTIVE: The aim of this study is to investigate the efficacy of Web- and computer-based stress-management interventions in adults relative to a control group. METHODS: A meta-analysis was performed, including 26 comparisons (n=4226). Cohen d was calculated for the primary outcome level of stress to determine the difference between the intervention and control groups at posttest. Analyses of the effect on depression, anxiety, and stress in the following subgroups were also conducted: risk of bias, theoretical basis, guidance, and length of the intervention. Available follow-up data (1-3 months, 4-6 months) were assessed for the primary outcome stress. RESULTS: The overall mean effect size for stress at posttest was Cohen d=0.43 (95% CI 0.31-0.54). Significant, small effects were found for depression (Cohen d=0.34, 95% CI 0.21-0.48) and anxiety (Cohen d=0.32, 95% CI 0.17-0.47). Subgroup analyses revealed that guided interventions (Cohen d=0.64, 95% CI 0.50-0.79) were more effective than unguided interventions (Cohen d=0.33, 95% CI 0.20-0.46; P=.002). With regard to the length of the intervention, short interventions (≤4 weeks) showed a small effect size (Cohen d=0.33, 95% CI 0.22-0.44) and medium-long interventions (5-8 weeks) were moderately effective (Cohen d=0.59; 95% CI 0.45-0.74), whereas long interventions (≥9 weeks) produced a nonsignificant effect (Cohen d=0.21, 95% CI -0.05 to 0.47; P=.006). In terms of treatment type, interventions based on cognitive behavioral therapy (CBT) and third-wave CBT (TWC) showed small-to-moderate effect sizes (CBT: Cohen d=0.40, 95% CI 0.19-0.61; TWC: Cohen d=0.53, 95% CI 0.35-0.71), and alternative interventions produced a small effect size (Cohen d=0.24, 95% CI 0.12-0.36; P=.03). Early evidence on follow-up data indicates that Web- and computer-based stress-management interventions can sustain their effects in terms of stress reduction in a small-to-moderate range up to 6 months. CONCLUSIONS: These results provide evidence that Web- and computer-based stress-management interventions can be effective and have the potential to reduce stress-related mental health problems on a large scale.

8 Review [Internet- and Mobile Based Psychotherapy for Depression]. 2017

Sander, Lasse / Ebert, David Daniel / Baumeister, Harald. ·Abteilung für Rehabilitationspsychologie und Psychotherapie, Institut für Psychologie, Universität Freiburg. · Lehrstuhl für Klinische Psychologie und Psychotherapie, Institut für Psychologie, Universität Erlangen-Nürnberg. · Abteilung für Klinische Psychologie und Psychotherapie, Institut für Psychologie und Pädagogik, Universität Ulm. ·Fortschr Neurol Psychiatr · Pubmed #28114693.

ABSTRACT: Guided Internet- and mobile-based interventions (IMIs) are an effective and scientifically sound treatment option for depression. Meta-analyses revealed effect sizes comparable to those found for face-to-face treatment as well as pharmacotherapy. Today, most IMIs are based on cognitive behavioral therapy (CBT). While IMIs are well established in healthcare systems of many countries worldwide, Germany is still lagging behind. However, there are an increasing number of model projects trying to implement IMIs into routine healthcare for depression in Germany. Both, service providers and recipients would benefit from transparent quality assurance and data safety guidelines.

9 Review Using patient self-reports to study heterogeneity of treatment effects in major depressive disorder. 2017

Kessler, R C / van Loo, H M / Wardenaar, K J / Bossarte, R M / Brenner, L A / Ebert, D D / de Jonge, P / Nierenberg, A A / Rosellini, A J / Sampson, N A / Schoevers, R A / Wilcox, M A / Zaslavsky, A M. ·Department of Health Care Policy,Harvard Medical School,Boston, MA,USA. · Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE),University of Groningen, University Medical Center Groningen,Groningen,The Netherlands. · Department of Veterans Affairs,Office of Public Health,Washington, DC,USA. · VISN 19 Mental Illness Research Education and Clinical Center,University of Colorado,Anschutz Medical Campus,Anschulz, CO,USA. · Department of Psychiatry and Depression Clinical and Research Program,Harvard Medical School and Massachusetts General Hospital,Boston, MA,USA. · Department of Epidemiology,Janssen Research and Development,Titusville, NJ,USA. ·Epidemiol Psychiatr Sci · Pubmed #26810628.

ABSTRACT: BACKGROUNDS: Clinicians need guidance to address the heterogeneity of treatment responses of patients with major depressive disorder (MDD). While prediction schemes based on symptom clustering and biomarkers have so far not yielded results of sufficient strength to inform clinical decision-making, prediction schemes based on big data predictive analytic models might be more practically useful. METHOD: We review evidence suggesting that prediction equations based on symptoms and other easily-assessed clinical features found in previous research to predict MDD treatment outcomes might provide a foundation for developing predictive analytic clinical decision support models that could help clinicians select optimal (personalised) MDD treatments. These methods could also be useful in targeting patient subsamples for more expensive biomarker assessments. RESULTS: Approximately two dozen baseline variables obtained from medical records or patient reports have been found repeatedly in MDD treatment trials to predict overall treatment outcomes (i.e., intervention v. control) or differential treatment outcomes (i.e., intervention A v. intervention B). Similar evidence has been found in observational studies of MDD persistence-severity. However, no treatment studies have yet attempted to develop treatment outcome equations using the full set of these predictors. Promising preliminary empirical results coupled with recent developments in statistical methodology suggest that models could be developed to provide useful clinical decision support in personalised treatment selection. These tools could also provide a strong foundation to increase statistical power in focused studies of biomarkers and MDD heterogeneity of treatment response in subsequent controlled trials. CONCLUSIONS: Coordinated efforts are needed to develop a protocol for systematically collecting information about established predictors of heterogeneity of MDD treatment response in large observational treatment studies, applying and refining these models in subsequent pragmatic trials, carrying out pooled secondary analyses to extract the maximum amount of information from these coordinated studies, and using this information to focus future discovery efforts in the segment of the patient population in which continued uncertainty about treatment response exists.

10 Review Personalized Psychotherapy for Adult Depression: A Meta-Analytic Review. 2016

Cuijpers, Pim / Ebert, David D / Acarturk, Ceren / Andersson, Gerhard / Cristea, Ioana A. ·VU University Amsterdam, EMGO Institute for Health and Care Research, and Innovation Incubator. Electronic address: p.cuijpers@vu.nl. · Innovation Incubator and Friedrich-Alexander University Erlangen-Nüremberg. · Istanbul Sehir University. · Linköping University and Karolinska Institutet. · Babes-Bolyai University and University of Pisa. ·Behav Ther · Pubmed #27993344.

ABSTRACT: Personalized medicine is aimed at identifying which characteristics of an individual predict the outcome of a specific treatment, in order to get a better match between the individual and the treatment received. We conducted a systematic review and meta-analysis of randomized trials comparing two psychotherapies directly in a group of depressed patients with a specific characteristic. We focused on the six most examined types of psychotherapy for adult depression. Our searches resulted in 41 studies with 2,741 patients who met inclusion criteria. These 41 studies examined 27 specific characteristics of patients. Power calculations indicated that we would need 4 studies for each characteristic to find a clinically relevant effect size set at g = 0.50 and 16 studies for an effect size of 0.24. Only 3 patient characteristics were found to have sufficient power and to significantly moderate treatment outcomes. Cognitive-behavioral therapy was found to be more effective than other therapies in older adults (g = 0.29), in patients with comorbid addictive disorders (g = 0.31), and in university students (g = 0.46). Risk of bias was considerable in most of the included studies. It was estimated that it will take another 326 years to have sufficient statistical power for showing an effect size of g = 0.50 of the 27 characteristics, and 1,372 years to show an effect size of 0.24. Although several dozens of studies have compared the effects of psychotherapies in specific target groups, we will need to develop more powerful alternatives to comparative outcome studies in order to identify personalized treatments for depression.

11 Review [Internet-based approaches in prevention and treatment of depressive symptoms in adolescents and young adults ]. 2014

Berking, Matthias / Ebert, David D / Lehr, Dirk / Riper, Heleen / Sieland, Bernhard / Wiencke, Carmen. · ·Prax Kinderpsychol Kinderpsychiatr · Pubmed #24877779.

ABSTRACT: Epidemiological findings indicate that up to 18.5 % of the German adolescents suffer from depressive symptoms and that younger adults display the highest risk for relevant symptoms of depression (9.9 %) within the German adult population. Internet-based interventions have been shown to be useful for preventing and treating depression and are more easily disseminated in internet-savvy generations. Available programs are usually based on principles of cognitive behavioural therapy. They differ significantly with regard to target groups, structure, content, degree of guidance provided by online-coaches and evidence for their efficacy. Whereas some studies could not prove the use of the trainings there are others that show large effect sizes (up to d = 0.84) for the reduction of depressive symptoms. In Germany there are some online counseling programs for children and adolescents in (acute) crises available. However, at this point no structured intervention program for the treatment of depression exists.

12 Review Preventing the onset of major depressive disorder: a meta-analytic review of psychological interventions. 2014

van Zoonen, Kim / Buntrock, Claudia / Ebert, David Daniel / Smit, Filip / Reynolds, Charles F / Beekman, Aartjan T F / Cuijpers, Pim. ·Department of Clinical Psychology and EMGO Institute for Health and Care Research, VU University, Amsterdam, The Netherlands, Leuphana University Innovation Incubator, Division Health Trainings Online, Lüneburg, Germany, Philips University, Department of Psychology, Clinical Psychology and Psychotherapy, Marburg, Germany, Trimbos Institute (Netherlands Institute of Mental Health and Addiction), Utrecht, The Netherlands, Department of Epidemiology and Biostastics, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands, Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA and Department of Psychiatry and EMGO Institute for Health and Care Research, VU University, Amsterdam, The Netherlands. ·Int J Epidemiol · Pubmed #24760873.

ABSTRACT: BACKGROUND: Depressive disorders are highly prevalent, have a detrimental impact on the quality of life of patients and their relatives and are associated with increased mortality rates, high levels of service use and substantial economic costs. Current treatments are estimated to only reduce about one-third of the disease burden of depressive disorders. Prevention may be an alternative strategy to further reduce the disease burden of depression. METHODS: We conducted a meta-analysis of randomized controlled trials examining the effects of preventive interventions in participants with no diagnosed depression at baseline on the incidence of diagnosed depressive disorders at follow-up. We identified 32 studies that met our inclusion criteria. RESULTS: We found that the relative risk of developing a depressive disorder was incidence rate ratio = 0.79 (95% confidence interval: 0.69-0.91), indicating a 21% decrease in incidence in prevention groups in comparison with control groups. Heterogeneity was low (I(2) = 24%). The number needed to treat (NNT) to prevent one new case of depressive disorder was 20. Sensitivity analyses revealed no differences between type of prevention (e.g. selective, indicated or universal) nor between type of intervention (e.g. cognitive behavioural therapy, interpersonal psychotherapy or other). However, data on NNT did show differences. CONCLUSIONS: Prevention of depression seems feasible and may, in addition to treatment, be an effective way to delay or prevent the onset of depressive disorders. Preventing or delaying these disorders may contribute to the further reduction of the disease burden and the economic costs associated with depressive disorders.

13 Article Dimensionality of the system usability scale among professionals using internet-based interventions for depression: a confirmatory factor analysis. 2020

Mol, Mayke / van Schaik, Anneke / Dozeman, Els / Ruwaard, Jeroen / Vis, Christiaan / Ebert, David D / Etzelmueller, Anne / Mathiasen, Kim / Moles, Bárbara / Mora, Teresa / Pedersen, Claus D / Skjøth, Mette Maria / Pensado, Luisa Peleteiro / Piera-Jimenez, Jordi / Gokcay, Didem / Ince, Burçin Ünlü / Russi, Alessio / Sacco, Ylenia / Zanalda, Enrico / Zabala, Ane Fullaondo / Riper, Heleen / Smit, Jan H. ·Department of Research and Innovation, GGZ inGeest, Specialized Mental Health Care, Oldenaller 1, 1081, Amsterdam, HJ, Netherlands. m.mol@ggzingeest.nl. · Department of Psychiatry, Amsterdam Public Health Research Institute, VU University Medical Center, Van der Boechorststraat 7, 1081, Amsterdam, BT, Netherlands. m.mol@ggzingeest.nl. · Department of Research and Innovation, GGZ inGeest, Specialized Mental Health Care, Oldenaller 1, 1081, Amsterdam, HJ, Netherlands. · Department of Psychiatry, Amsterdam Public Health Research Institute, VU University Medical Center, Van der Boechorststraat 7, 1081, Amsterdam, BT, Netherlands. · Department of Clinical, Neuro and Developmental Psychology, Clinical Psychology Section, Vrije Universiteit Amsterdam and the Amsterdam Public Health Research Institute, Van der Boechorststraat 1, 1081, Amsterdam, BT, Netherlands. · Friedrich-Alexander-Universität Erlangen-Nürnberg, Schlossplatz 4, 91054, Erlangen, Germany. · Schön Klinik, Hofgarten 10, 34454, Bad Arolsen, Germany. · Research Unit for Telepsychiatry and e-Mental Health, Department of Clinical Research, University of Southern Denmark, J.B. Winsløws Vej 19, 5000, Odense, Denmark. · Department of Affective Disorders, Aarhus University Hospital - Psychiatry, Palle Juul Jensens Boulevard 175, 8200, Aarhus, Denmark. · Mental Health Unit, Barbastro Healthcare Sector, Aragón Healthcare Service -SALUD, Carretera N-240, 22300, Barbastro, Aragón, Spain. · Centre for Innovative Medical Technology, Odense University Hospital, Sdr Boulevard 29, 5000, Odense C, Denmark. · Danish Centre for Health Economics, DaCHE, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 9B, 5000, Odense C, Denmark. · The Public Health Service of Galicia -SERGAS, Service of Mental Health and Drug Addiction, Edificio Administrativo de San Lázaro, 15703, Santiago de Compostela, Spain. · Department of Research and Innovation, Badalona Serveis Assistencials, Plaça de Pau Casals 1, 08911, Badalona, Spain. · Department Medical Informatics, Middle East Technical University, Informatics Institute, Üniversiteler Mahallesi, Dumlupınar Bulvarı 1, 60800, Ankara, Turkey. · Ruhuna İyi Bak, Online Counseling Centre, Çağlayan Mahallesi Bahtiyar Sokak 50/1, 34403, Istanbul, Turkey. · ULSS9 Treviso, Via Scarpa, 9, 31100, Treviso, Italy. · Mental Health Department, ASLTO3, Local Health Authority Torino 3, Via Martiri XXX Aprile 30, 10093, Collegno, Italy. · Institute of health service research - Kronikgunem, Torre del Bilbao Exhibition Centre, Azkue Kalea, 1, 48902, Barakaldo, Basque Country, Spain. ·BMC Psychiatry · Pubmed #32398111.

ABSTRACT: BACKGROUND: The System Usability Scale (SUS) is used to measure usability of internet-based Cognitive Behavioural Therapy (iCBT). However, whether the SUS is a valid instrument to measure usability in this context is unclear. The aim of this study is to assess the factor structure of the SUS, measuring usability of iCBT for depression in a sample of professionals. In addition, the psychometric properties (reliability, convergent validity) of the SUS were tested. METHODS: A sample of 242 professionals using iCBT for depression from 6 European countries completed the SUS. Confirmatory Factor Analysis (CFA) was conducted to test whether a one-factor, two-factor, tone-model or bi-direct model would fit the data best. Reliability was assessed using complementary statistical indices (e.g. omega). To assess convergent validity, the SUS total score was correlated with an adapted Client Satisfaction Questionnaire (CSQ-3). RESULTS: CFA supported the one-factor, two-factor and tone-model, but the bi-factor model fitted the data best (Comparative Fit Index = 0.992, Tucker Lewis Index = 0.985, Root Mean Square Error of Approximation = 0.055, Standardized Root Mean Square Residual = 0.042 (respectively χ CONCLUSIONS: Although the SUS seems to have a multidimensional structure, the best model showed that the total sumscore of the SUS appears to be a valid and interpretable measure to assess the usability of internet-based interventions when used by professionals in mental healthcare.

14 Article Clinical and Cost-Effectiveness of Personalized Tele-Based Coaching for Farmers, Foresters and Gardeners to Prevent Depression: Study Protocol of an 18-Month Follow-Up Pragmatic Randomized Controlled Trial (TEC-A). 2020

Thielecke, Janika / Buntrock, Claudia / Titzler, Ingrid / Braun, Lina / Freund, Johanna / Berking, Matthias / Baumeister, Harald / Ebert, David D. ·Department of Clinical Psychology and Psychotherapy, Institute of Psychology, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany. · Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, Ulm University, Ulm, Germany. · Department of Clinical, Neuro- & Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands. · GET.ON Institute, Hamburg, Germany. ·Front Psychiatry · Pubmed #32194458.

ABSTRACT:

15 Article The effects of fifteen evidence-supported therapies for adult depression: A meta-analytic review. 2020

Cuijpers, Pim / Karyotaki, Eirini / de Wit, Leonore / Ebert, David D. ·Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, Netherlands. · Clinical Psychology and Psychotherapy, Institute for Psychology, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany. ·Psychother Res · Pubmed #31394976.

ABSTRACT:

16 Article Clinical and cost-effectiveness of guided internet-based interventions in the indicated prevention of depression in green professions (PROD-A): study protocol of a 36-month follow-up pragmatic randomized controlled trial. 2019

Braun, Lina / Titzler, Ingrid / Ebert, David Daniel / Buntrock, Claudia / Terhorst, Yannik / Freund, Johanna / Thielecke, Janika / Baumeister, Harald. ·Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, University of Ulm, Ulm, Germany. lina.braun@uni-ulm.de. · Department of Clinical Psychology and Psychotherapy, Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen, Germany. · GET.ON Institute, Hamburg, Germany. · Department of Clinical, Neuro- & Developmental Psychology, VU University Amsterdam, Amsterdam, Netherlands. · Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, University of Ulm, Ulm, Germany. ·BMC Psychiatry · Pubmed #31500602.

ABSTRACT: BACKGROUND: People in green professions are exposed to a variety of risk factors, which could possibly enhance the development of depression. Amongst possible prevention approaches, internet- and mobile-based interventions (IMIs) have been shown to be effective and scalable. However, little is known about the effectiveness in green professions. The aim of the present study is to examine the (cost-)effectiveness of a tailored IMI program for reducing depressive symptoms and preventing the onset of clinical depression compared to enhanced treatment as usual (TAU+). METHODS: A pragmatic randomized controlled trial (RCT) will be conducted to evaluate a tailored and therapeutically guided preventive IMI program in comparison to TAU+ with follow-ups at post-treatment (9 weeks), 6-, 12-, 24-, and 36-months. Entrepreneurs in green professions, collaborating spouses, family members and pensioners (N = 360) with sufficient insurance status and at least subthreshold depression (PHQ-9 ≥ 5) are eligible for inclusion. Primary outcome is depressive symptom severity (QIDS-SR16). Secondary outcomes include incidence of depression (QIDS-SR16), quality of life (AQoL-8D) and negative treatment effects (INEP). A health-economic evaluation will be conducted from a societal perspective. The IMI program is provided by psychologists of an external service company and consists of six guided IMIs (6-8 modules, duration: 6-8 weeks) targeting different symptoms (depressive mood, depressive mood with comorbid diabetes, perceived stress, insomnia, panic and agoraphobic symptoms or harmful alcohol use). Intervention choice depends on a screening of participants' symptoms and individual preferences. The intervention phase is followed by a 12-months consolidating phase with monthly contact to the e-coach. DISCUSSION: This is the first pragmatic RCT investigating long-term effectiveness of a tailored guided IMI program for depression prevention in green professions. The present trial builds on a large-scale strategy for depression prevention in green professions. The intended implementation of the IMI program with a nationwide rollout has the potential to reduce overall depression burden and associated health care costs in case of given effectiveness. TRIAL REGISTRATION: German Clinical Trial Registration: DRKS00014000 . Registered on 09 April 2018.

17 Article Unraveling the Black Box: Exploring Usage Patterns of a Blended Treatment for Depression in a Multicenter Study. 2019

Kemmeren, Lise L / van Schaik, Anneke / Smit, Johannes H / Ruwaard, Jeroen / Rocha, Artur / Henriques, Mário / Ebert, David Daniel / Titzler, Ingrid / Hazo, Jean-Baptiste / Dorsey, Maya / Zukowska, Katarzyna / Riper, Heleen. ·Department of Research and Innovation, GGZ inGeest Specialized Mental Health Care, Amsterdam, Netherlands. · Psychiatry, Amsterdam Public Health Research Institute, Amsterdam Universitair Medische Centra, Vrije Universiteit Amsterdam, Amsterdam, Netherlands. · Centre for Information Systems and Computer Graphics, Institute for Systems Engineering and Computers, Technology and Science, Porto, Portugal. · Department of Clinical Psychology and Psychotherapy, Friedrich-Alexander University of Erlangen-Nürnberg, Erlangen, Germany. · Eceve, Unit 1123, Inserm, Université de Paris, Paris, France. · Unité de Recherche en Economie de la Santé, Assistance Publique, Hôpitaux de Paris, Paris, France. · World Health Organization Collaborating Centre for Research and Training in Mental Health, Lille, France. · Faculty of Psychology, SWPS University of Social Sciences and Humanities, Warsaw, Poland. · Institute of Telepsychiatry, University of Southern Denmark, Odense, Denmark. ·JMIR Ment Health · Pubmed #31344670.

ABSTRACT: BACKGROUND: Blended treatments, combining digital components with face-to-face (FTF) therapy, are starting to find their way into mental health care. Knowledge on how blended treatments should be set up is, however, still limited. To further explore and optimize blended treatment protocols, it is important to obtain a full picture of what actually happens during treatments when applied in routine mental health care. OBJECTIVE: The aims of this study were to gain insight into the usage of the different components of a blended cognitive behavioral therapy (bCBT) for depression and reflect on actual engagement as compared with intended application, compare bCBT usage between primary and specialized care, and explore different usage patterns. METHODS: Data used were collected from participants of the European Comparative Effectiveness Research on Internet-Based Depression Treatment project, a European multisite randomized controlled trial comparing bCBT with regular care for depression. Patients were recruited in primary and specialized routine mental health care settings between February 2015 and December 2017. Analyses were performed on the group of participants allocated to the bCBT condition who made use of the Moodbuster platform and for whom data from all blended components were available (n=200). Included patients were from Germany, Poland, the Netherlands, and France; 64.5% (129/200) were female and the average age was 42 years (range 18-74 years). RESULTS: Overall, there was a large variability in the usage of the blended treatment. A clear distinction between care settings was observed, with longer treatment duration and more FTF sessions in specialized care and a more active and intensive usage of the Web-based component by the patients in primary care. Of the patients who started the bCBT, 89.5% (179/200) also continued with this treatment format. Treatment preference, educational level, and the number of comorbid disorders were associated with bCBT engagement. CONCLUSIONS: Blended treatments can be applied to a group of patients being treated for depression in routine mental health care. Rather than striving for an optimal blend, a more personalized blended care approach seems to be the most suitable. The next step is to gain more insight into the clinical and cost-effectiveness of blended treatments and to further facilitate uptake in routine mental health care.

18 Article Do Nonsuicidal Severely Depressed Individuals with Diabetes Profit from Internet-Based Guided Self-Help? Secondary Analyses of a Pragmatic Randomized Trial. 2019

Schlicker, Sandra / Weisel, Kiona K / Buntrock, Claudia / Berking, Matthias / Nobis, Stephanie / Lehr, Dirk / Baumeister, Harald / Snoek, Frank J / Riper, Heleen / Ebert, David D. ·Friedrich-Alexander University Erlangen-Nürnberg, Germany. · Philipps-University Marburg, Germany. · GET.ON Institute GmbH, Germany. · Leuphana University Lüneburg, Germany. · Ulm University, Germany. · VU University, Amsterdam, Netherlands. ·J Diabetes Res · Pubmed #31218230.

ABSTRACT: Introduction: Diabetes mellitus type 1 and type 2 are linked to higher prevalence and occurrences of depression. Internet-based depression- and diabetes-specific cognitive behavioral therapies (CBT) can be effective in reducing depressive symptom severity and diabetes-related emotional distress. The aim of the study was to test whether disease-specific severity indicators moderate the treatment outcome in a 6-week minimally guided web-based self-help intervention on depression and diabetes (GET.ON Mood Enhancer Diabetes (GET.ON M.E.D.)) and to determine its effectiveness in a nonsuicidal severely depressed subgroup. Methods: Randomized controlled trial- (RCT-) based data ( Results: Major depressive disorder diagnosis at the baseline ( Conclusion: Disease-specific severity indicators were not related to a differential effectiveness of guided self-help for depression and diabetes. Clinical meaningful effects were observed in nonsuicidal severely depressed individuals, who do not need to be excluded from web-based guided self-help. However, participants should be closely monitored and referred to other treatment modalities in case of nonresponse.

19 Article Efficacy of an internet and app-based gratitude intervention in reducing repetitive negative thinking and mechanisms of change in the intervention's effect on anxiety and depression: Results from a randomized controlled trial. 2019

Heckendorf, Hanna / Lehr, Dirk / Ebert, David Daniel / Freund, Henning. ·Department of Health Psychology and Applied Biological Psychology, Institute of Psychology, Leuphana University of Lueneburg, Universitaetsallee 1, 21335, Lueneburg, Germany. · Department of Health Psychology and Applied Biological Psychology, Institute of Psychology, Leuphana University of Lueneburg, Universitaetsallee 1, 21335, Lueneburg, Germany. Electronic address: lehr@leuphana.de. · Department of Clinical Psychology and Psychotherapy, Friedrich-Alexander-University of Erlangen-Nuremberg, Naegelsbachstr. 25a, 91052, Erlangen, Germany. · Department of Religion and Psychotherapy, Tabor Protestant University of Applied Sciences, Duererstraße 43, 35039, Marburg, Germany. ·Behav Res Ther · Pubmed #31202003.

ABSTRACT: Repetitive negative thinking (RNT) has been identified as a transdiagnostic process that is involved in various forms of psychopathology, including anxiety and depression. This randomized controlled trial compared a 5-week internet and app-based gratitude intervention (intervention group; IG) with adherence-focused guidance against a wait list control group (WLG) in reducing RNT in a sample with elevated RNT. METHOD: A total of 260 individuals were randomized to either the IG or the WLG. Data were collected at baseline (T1), within one week post intervention (T2), and at three (3-MFU) and six-months of follow-up (6-MFU; for IG only). The primary outcome was RNT. Secondary outcomes included other mental health outcomes and resilience factors. RESULTS: Participants of the IG reported significantly less RNT at T2 (d = 0.61) and 3-MFU (d = 0.75) as compared to WLG. Improvements were sustained until 6-MFU. Significant, small to moderate effect sizes were identified for most secondary outcomes at T2 and 3-MFU. Furthermore, results of mediation analyses revealed that the gratitude intervention exerts its effect on anxiety and depression by reducing the risk factor of RNT, while the mediating role of resilience was less clear. CONCLUSIONS: The gratitude intervention investigated in this study was found to be effective in reducing RNT. Gratitude interventions might affect mental health by two parallel pathways: increasing resources and reducing risk factors. REFERENCE NUMBER ETHICS COMMITTEE OF THE UNIVERSITY OF LUENEBURG: EB 201701-03-Lehr. CLINICAL TRIAL REGISTRATION NUMBER: DRKS00011862. The trial protocol can be assessed at: https://www.drks.de/.

20 Article Examining the effectiveness of a web-based intervention for symptoms of depression and anxiety in college students: study protocol of a randomised controlled trial. 2019

Karyotaki, Eirini / Klein, Anke M / Riper, Heleen / Wit, Leonore de / Krijnen, Lisa / Bol, Eline / Bolinski, Felix / Burger, Simone / Ebert, David D / Auerbach, Randy P / Kessler, Ronald C / Bruffaerts, Ronny / Batelaan, Neeltje / van der Heijde, Claudia M / Vonk, Peter / Kleiboer, Annet / Wiers, Reinout W / Cuijpers, Pim. ·Department of Clinical, Neuro, and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands. · Amsterdam Public Health Research Institute, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands. · Addiction, Development, and Psychopathology Lab, Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands. · Clinical Psychology and Psychotherapy, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany. · Department of Psychiatry, Columbia University, New York, New York, USA. · Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts, USA. · Universitair Psychiatrisch Centrum, Centre for Public Health Psychiatry, Katholieke Universiteit Leuven, Leuven, Belgium. · Department of Psychiatry and Department of Epidemiology and Biostatistics, VU University Medical Centre Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands. · Department of Epidemiology and Biostatistics, VU University Medical Centre Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands. · Department of Research, Development and Prevention, Student Health Service University of Amsterdam, Amsterdam, The Netherlands. ·BMJ Open · Pubmed #31092668.

ABSTRACT: INTRODUCTION: The college years are a peak period for the onset of common mental disorders. Poor mental health is associated with low academic attainment, physical, interpersonal and cognitive impairments. Universities can use online approaches to screen students for mental disorders and treat those in need. The present study aims to assess the effectiveness of a guided web-based transdiagnostic individually tailored intervention to treat students with symptoms of depression and/or anxiety. TRIAL REGISTRATION NUMBER: NTR6797; Pre-results.

21 Article Efficacy and cost-effectiveness of guided and unguided internet- and mobile-based indicated transdiagnostic prevention of depression and anxiety (ICare Prevent): A three-armed randomized controlled trial in four European countries. 2019

Weisel, Kiona K / Zarski, Anna-Carlotta / Berger, Thomas / Krieger, Tobias / Schaub, Michael P / Moser, Christian T / Berking, Matthias / Dey, Michelle / Botella, Cristina / Baños, Rosa / Herrero, Rocio / Etchemendy, Ernestina / Riper, Heleen / Cuijpers, Pim / Bolinski, Felix / Kleiboer, Annet / Görlich, Dennis / Beecham, Jennifer / Jacobi, Corinna / Ebert, David D. ·Department of Clinical Psychology and Psychotherapy, Nägelsbachstraße 25a, Germany. · Leuphana University, Innovation Incubator, Division Health Trainings Online, Lüneburg, Germany. · University of Bern, Department of Clinical Psychology and Psychotherapy, Bern, Switzerland. · Swiss Research Institute for Public Health and Addiction ISGF, Associated to the University of Zurich, Zurich, Switzerland. · Jaume I University, Castellón, Spain. · CIBER Pathophysiology of Obesity and Nutrition (CB06/03), Carlos III Institute of Health, Madrid, Spain. · University of Valencia, Valencia, Spain. · University of Zaragoza, Teruel, Spain. · Department of Clinical, Neuro and Developmental Psychology, Vrije Universiteit Amsterdam, The Netherlands. · Amsterdam Public Health Research Institute, Amsterdam, The Netherlands. · Westfälische Wilhelms-Universität Münster, Institute of Biostatistics and Clinical Research, Münster, Germany. · Personal Social Services Research Unit (PSSRU), London School of Economics and Political Science, London, United Kingdom. · Department of Clinical Psychology and Psychotherapy, TU Dresden, Dresden, Germany. ·Internet Interv · Pubmed #30775265.

ABSTRACT: Background: Depression and anxiety are highly prevalent and often co-occur. Several studies indicate the potential of disorder-specific psychological interventions for the prevention of each of these disorders. To treat comorbidity, transdiagnostic treatment concepts seem to be a promising approach, however, evidence for transdiagnostic concepts of prevention remains inconclusive. Internet- and mobile-based interventions (IMIs) may be an effective means to deliver psychological interventions on a large scale for the prevention of common mental disorders (CMDs) such as depression and anxiety. IMIs have been shown to be effective in treating CMDs, e.g. in reducing symptoms of depression and anxiety. However, there is a lack of studies examining the efficacy of interventions reducing the incidence of CMDs. Moreover, the comparative cost-effectiveness of guided versus unguided IMIs for the prevention of depression and anxiety has not been studied yet. Hence, this study aims at investigating the (cost-) effectiveness of guided and unguided internet- and mobile-based transdiagnostic individually tailored indicated prevention of depression and anxiety. Methods: A multi-country three-armed randomized controlled trial will be conducted to compare a guided and unguided intervention to treatment as usual (TAU). Both active conditions are based on the same intervention, Discussion: The present study will further enhance the evidence-base for transdiagnostic preventive interventions and provide valuable information about optimal trade-off between treatment outcome and costs. Trial registration: German Clinical Trial Registration (DRKS - http://www.drks.de/drks_web/): DRKS00011099.

22 Article Web-based indicated prevention of common mental disorders in university students in four European countries - Study protocol for a randomised controlled trial. 2019

Musiat, Peter / Potterton, Rachel / Gordon, Gemma / Spencer, Lucy / Zeiler, Michael / Waldherr, Karin / Kuso, Stefanie / Nitsch, Martina / Adamcik, Tanja / Wagner, Gudrun / Karwautz, Andreas / Ebert, David Daniel / Dodd, Alyson / Dooley, Barbara / Harrison, Amy / Whitt, Emma / Haselgrove, Mark / Sharpe, Helen / Smith, Jo / Tressler, Rosie / Troop, Nicholas / Vinyard, Chantal / Görlich, Dennis / Beecham, Jenny / Bonin, Eva / Jacobi, Corinna / Schmidt, Ulrike. ·King's College London, Institute of Psychiatry, Psychology and Neuroscience, Section of Eating Disorders, PO59, 16 De Crespigny Park, London SE5 8AF, United Kingdom. · Medical University of Vienna, Department for Child and Adolescent Psychiatry, Eating Disorders Unit, Spitalgasse 23, 1090 Vienna, Austria. · Ferdinand-Porsche Distance Learning University for Applied Sciences, Wr. Neustadt, Austria. · Friedrich-Alexander-Universität Erlangen-Nürnberg, Lehrstuhl für Klinische Psychologie und Psychotherapie, Nägelsbachstr, 25a, 91052 Erlangen, Germany. · Northumbria University, Department of Psychology, Northumberland Building, Newcastle upon Tyne NE1 8ST, United Kingdom. · University College Dublin, School of Psychology, Belfield Dublin 4, United Kingdom. · University College London, Institute of Education, 20 Bedford Way, London WC1H 0AL, United Kingdom. · University of Nottingham, School of Psychology, University Park Campus, Nottingham NG7 2RD, United Kingdom. · University of Edinburgh, School of Health in Social Science, Teviot Place, Edinburgh EH8 9AG, United Kingdom. · University of Worcester, Institute of Health and Society, St. John's, Worcester WR2 6AJ, United Kingdom. · Student Minds, 16-17 Turl Street, Oxford OX1 3DH, United Kingdom. · University of Hertfordshire, Department of Psychology, College Lane, Hatfield AL10 9AB, United Kingdom. · Westfälische Wilhelms-Universität Münster, Institute of Biostatistics and Clinical Research, Schmedingtraße 56, Münster, Germany. · London School of Economics and Political Science, Personal Social Services Research Unit, Houghton Street, London WC2A 2AE, UK. · Technische Universität Dresden, Institute für Klinische Psychologies und Psychotherapie, Chemnitzer Str. 46, D-01187 Dresden, Germany. ·Internet Interv · Pubmed #30775263.

ABSTRACT: Background: Mental disorders and their symptoms are highly prevalent in the university student population, and the transition from secondary to tertiary education is associated with a rise in mental health problems. Existing web-based interventions for the prevention of common mental disorders in student populations often focus on just one disorder and have not been designed specifically for students. There is thus a need for transdiagnostic, student-specific preventative interventions that can be widely disseminated. This two-arm, parallel group randomised controlled trial aims to evaluate the effectiveness and cost-effectiveness of a web-based transdiagnostic mental health problem prevention programme (PLUS) across several universities in four countries. Method: Students ( Conclusions: This study will contribute to understanding the role of transdiagnostic indicated web-based interventions for the prevention of common mental disorders in university students. It will also be one of the first studies to investigate the cost-effectiveness of such interventions. Trial Registration: This trial was registered in the ISRCTN register (ISRCTN15570935) on 12th February 2016.

23 Article Is psychotherapy effective? Pretending everything is fine will not help the field forward. 2019

Cuijpers, Pim / Karyotaki, Eirini / Reijnders, Mirjam / Ebert, David D. ·Department of Clinical, Neuro and Developmental Psychology,Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam,the Netherlands. ·Epidemiol Psychiatr Sci · Pubmed #30642408.

ABSTRACT: -- No abstract --

24 Article The World Health Organization World Mental Health International College Student initiative: An overview. 2019

Cuijpers, Pim / Auerbach, Randy P / Benjet, Corina / Bruffaerts, Ronny / Ebert, David / Karyotaki, Eirini / Kessler, Ronald C. ·Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands. · Department of Psychiatry, Columbia University, New York, New York. · Department of Epidemiologic and Psychosocial Research, National Institute of Psychiatry Ramón de la Fuente Muñiz, Mexico City, Mexico. · Center for Public Health Psychiatry, Dept. Neurosciences, KU Leuven, Leueven, Belgium. · Department of Psychology, Clinical Psychology and Psychotherapy, Friedrich-Alexander University Nuremberg-Erlangen, Erlangen, Germany. · Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts. ·Int J Methods Psychiatr Res · Pubmed #30614123.

ABSTRACT: OBJECTIVES: The college years are a developmentally crucial period and a peak age for the onset of mental disorders. METHODS: The World Health Organization World Mental Health International College Student (WMH-ICS) initiative is aimed at developing and implementing a system for improving prevention and early interventions for mental health problems among college students. RESULTS: The initiative consists of three core elements. The first element is a web-based survey to assess the magnitude and nature of emotional problems, the effects of these problems on students' functioning, and barriers to seeking treatment. All first-year students in participating colleges are invited to participate, and we plan to expand the survey to all students in the future. The second element is an infrastructure to test internet-based interventions aimed at the prevention and early intervention in mental health problems. Participating colleges can develop and test internet-based interventions in randomized trials. The first pilot tests on such interventions now been done. The third element is the dissemination and continuous quality improvement monitoring of the evidence-based interventions developed in WMH-ICS. CONCLUSIONS: By addressing these three core elements, the WMH-ICS aims to integrate epidemiological and clinical research to offer scalable and effective evidence-based interventions for mental health problems at a critical life course stage.

25 Article The more I got, the less I need? Efficacy of Internet-based guided self-help compared to online psychoeducation for major depressive disorder. 2019

Reins, Jo Annika / Boß, Leif / Lehr, Dirk / Berking, Matthias / Ebert, David Daniel. ·Institute of Psychology, Leuphana University Lueneburg, Universitaetsallee 1, 21335 Lueneburg, Germany. Electronic address: reins@leuphana.de. · Institute of Psychology, Leuphana University Lueneburg, Universitaetsallee 1, 21335 Lueneburg, Germany. · Institute of Psychology, Friedrich-Alexander-University Erlangen-Nuremberg, Naegelsbachstraße 25a, 91052 Erlangen, Germany. ·J Affect Disord · Pubmed #30611913.

ABSTRACT: BACKGROUND: This study's aims were to compare the efficacy and negative effects of guided Internet-based cognitive behavior therapy (iCBT) and online psychoeducation (OPE) in people with major depression. METHODS: A total of 131 individuals were randomized. Assessments took place at baseline (T1), six weeks (T2), and three months (T3). The primary endpoint was change in observer-based depression severity from T1 to T2. Potential negative effects were analyzed in terms of suicidal ideations, symptom deterioration, attitudes toward seeking further help, and other adverse events. RESULTS: iCBT (n = 65) and OPE (n = 66) both reduced depressive symptoms from T1 to T2, with large changes observed for iCBT and medium for OPE (iCBT: Cohen's d = 1.09; OPE: d = 0.60). Differences between groups were significant at the primary endpoint (d = 0.36, p = 0.028). OPE continued to have a positive effect from post-treatment to follow-up, while the effect of iCBT remained stable, with differences between groups not being significant anymore at follow-up. Participants who had undergone prior psychotherapy benefited from both treatments; but for those without prior psychotherapy, iCBT was superior also at follow-up. In the iCBT group 26.2% of the participants reported at least one side-effect. LIMITATIONS: The history of psychotherapy was imbalanced between the groups. Some negative effects were assessed in the iCBT group only. CONCLUSIONS: Both iCBT and OPE were effective in reducing depressive symptoms, but with iCBT having a more rapid effect. iCBT was specifically superior in those with no prior history of psychotherapy. Negative effects occurred frequently and should be considered when implementing iCBT. TRIAL REGISTRATION: German clinical trials register: DRKS00005025.

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