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  1. Book ; Thesis: Mechanisms of change in internet-based interventions for depression. Mechanismen der Veränderung in der Onlinebehandlung der Depression

    Zagorscak, Pavle

    2020  

    Abstract: Unipolar depression ranks first on the World Health Organization's list of diseases responsible for global health burden. Different approaches of pharmacotherapy and face-to-face psychotherapy have been proven efficacious in reducing symptoms of ... ...

    Title translation Mechanismen der Veränderung in der Onlinebehandlung der Depression
    Abstract Unipolar depression ranks first on the World Health Organization's list of diseases responsible for global health burden. Different approaches of pharmacotherapy and face-to-face psychotherapy have been proven efficacious in reducing symptoms of depression and are available for individuals affected by the disorder. Yet, a majority of those individuals do not receive evidence-based treatment. Barriers such as difficulties attending appointments at inconvenient locations and at inconvenient times might be responsible for this shortfall in mental health care. Internet-based Interventions (IBI) show potential to overcome such barriers by offering psychoeducation, treatment tools, and (in some cases) guidance by clinicians independent of time and location. While several randomized controlled trials provide convincing evidence for the utility of IBI in reducing symptoms of depression, little is known about the mechanisms that account for in-treatment symptom change. Possible contributors to change within IBI for depression may be features of the intervention (e.g., therapeutic support by clinicians), variables related to treatment processes (e.g., treatment uptake, therapeutic alliance, outcome expectations) or variables specific to individuals (e.g., sociodemographic or socioeconomical characteristics). This thesis presents the findings from three studies that seek to broaden our understanding of in-treatment symptom change in IBI. All three studies have been conducted with data collected from 1089 mildly to moderately depressed individuals drawn from the client-base of a public health insurance company. They were randomized to receive weekly feedback that was either fully-standardized or individualized by a counselor within an otherwise identical cognitive-behavioral IBI for depression. STUDY 1 investigated differences between the treatment conditions concerning changes on clinical (depression, anxiety, perseverative thinking) and psychosocial variables (emotional self-efficacy, quality of life, and perceived social support). The between-condition effects were estimated after the intervention as well as 3, 6, and 12 months after participants finished the program. Results revealed large within-group effects for depressive symptom reduction across conditions. However, between-group differences were nonsignificant for all outcomes at all measurement occasions. STUDY 2 compared the contributions of outcome expectations, therapeutic alliance (agreement on tasks and goals; bond), extra-therapeutic stressors, and the uptake of specific treatment components to weekly symptom change in both treatment arms. Results showed that reductions of extra-therapeutic stressors during the intervention and high agreements on tasks and goals of treatment were associated with depressive symptom reductions in both conditions. While the level of extra-therapeutic stress at baseline was only predictive of in-treatment symptom change in the fully-standardized condition, bond ratings were associated with symptom deterioration during the final week of treatment in the individualized condition only. STUDY 3 investigated whether distinct groups of participants experienced discernable symptom courses during the two treatment variants. In addition, we examined whether participants' psychosocial, socioeconomic or clinical characteristics were associated with membership in these groups. The results suggested that patterns of change and the associated groups did not differ across conditions. In both treatment variants most individuals (62.5%) were classified as "immediate improvers" with substantial improvement, commencing even before the start of treatment. Another class (37.4%) of individuals was labeled "delayed improvers" for their symptoms improved less overall and did not change up until week three of treatment. Individuals with higher perceived social support had higher odds of being classified as "immediate improvers". In contrast, individuals fulfilling the criteria for a current MDD in a structured clinical interview (SCID-I) and individuals with high outcome expectations had higher odds of being classified as "delayed improvers". In summary, the results stressed the similarities between standardized and individualized feedback in IBI for depression concerning efficacy and patterns of change. At the same time the findings highlighted that individuals' socio-demographic and clinical features influence both the mechanisms of change and symptom courses in IBI for depression, and they had differential effects depending on whether the feedback was standardized or individualized. - Contents: (1) Zagorscak, P., Heinrich, M., Sommer, D., Wagner, B. & Knaevelsrud, C. (2018). Benefits of individualized feedback in Internet-based interventions for depression: A randomized controlled trial. Psychotherapy and Psychosomatics, 87, 32-45. DOI: 10.1159/000481515. (2) Zagorscak, P., Heinrich, M., Schulze, J., Böttcher, J. & Knaevelsrud, C. (2020). Factors contributing to symptom change in standardized and individualized Internet-based interventions for depression: A randomized-controlled trial. Psychotherapy. Advance online publication. DOI: 10.1037/pst0000276. (3) Zagorscak, P., Heinrich, M., Bohn, J., Stein, J. & Knaevelsrud, C. (2020). How individuals change during Internet-based interventions for depression: A randomized controlled trial comparing standardized and individualized feedback. Brain and Behavior, 10:e01484. DOI: 10.1002/brb3.1484.
    Keywords Angst ; Anxiety ; Digital Interventions ; Digitale Interventionen ; Erwartungen ; Expectations ; Feedback ; Internetbasierte Therapie ; Lebensqualität ; Major Depression ; Mental Health Services ; Online Therapy ; Psychosoziale Dienste ; Psychotherapeutic Processes ; Psychotherapeutische Prozesse ; Psychotherapie ; Psychotherapy ; Quality of Life ; Rumination (Cognitive Process) ; Rumination (kognitiver Prozess) ; Selbstwirksamkeit ; Self-Efficacy ; Social Support ; Soziale Unterstützung ; Symptome ; Symptoms ; Therapeutic Alliance ; Therapeutische Allianz ; Therapie ; Treatment
    Language English
    Size 185 pp., 34 pp. appendix
    Publisher Freie Universität, Fachbereich Erziehungswissenschaft und Psychologie
    Publishing place Berlin
    Document type Book ; Thesis
    Note Elektronische Publikation im Internet. Kumulative Dissertation
    DOI 10.17169/refubium-26547
    Database PSYNDEX

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  2. Book ; Online ; Thesis: Mechanisms of Change in Internet-Based Interventions for Depression

    Zagorscak, Pavle [Verfasser]

    2020  

    Author's details Pavle Zagorscak
    Keywords Psychologie ; Psychology
    Subject code sg150
    Language German
    Publisher Freie Universität Berlin
    Publishing place Berlin
    Document type Book ; Online ; Thesis
    Database Digital theses on the web

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  3. Article ; Online: Select or adjust? How information from early treatment stages boosts the prediction of non-response in internet-based depression treatment.

    Hammelrath, Leona / Hilbert, Kevin / Heinrich, Manuel / Zagorscak, Pavle / Knaevelsrud, Christine

    Psychological medicine

    2023  , Page(s) 1–10

    Abstract: Background: Internet-based interventions produce comparable effectiveness rates as face-to-face therapy in treating depression. Still, more than half of patients do not respond to treatment. Machine learning (ML) methods could help to overcome these low ...

    Abstract Background: Internet-based interventions produce comparable effectiveness rates as face-to-face therapy in treating depression. Still, more than half of patients do not respond to treatment. Machine learning (ML) methods could help to overcome these low response rates by predicting therapy outcomes on an individual level and tailoring treatment accordingly. Few studies implemented ML algorithms in internet-based depression treatment using baseline self-report data, but differing results hinder inferences on clinical practicability. This work compares algorithms using features gathered at baseline or early in treatment in their capability to predict non-response to a 6-week online program targeting depression.
    Methods: Our training and test sample encompassed 1270 and 318 individuals, respectively. We trained random forest algorithms on self-report and process features gathered at baseline and after 2 weeks of treatment. Non-responders were defined as participants not fulfilling the criteria for reliable and clinically significant change on PHQ-9 post-treatment. Our benchmark models were logistic regressions trained on baseline PHQ-9 sum or PHQ-9 early change, using 100 iterations of randomly sampled 80/20 train-test-splits.
    Results: Best performances were reached by our models involving early treatment characteristics (recall: 0.75-0.76; AUC: 0.71-0.77). Therapeutic alliance and early symptom change constituted the most important predictors. Models trained on baseline data were not significantly better than our benchmark.
    Conclusions: Fair accuracies were only attainable by involving information from early treatment stages. In-treatment adaptation, instead of a priori selection, might constitute a more feasible approach for improving response when relying on easily accessible self-report features. Implementation trials are needed to determine clinical usefulness.
    Language English
    Publishing date 2023-12-13
    Publishing country England
    Document type Journal Article
    ZDB-ID 217420-0
    ISSN 1469-8978 ; 0033-2917
    ISSN (online) 1469-8978
    ISSN 0033-2917
    DOI 10.1017/S0033291723003537
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Sequencing effects of behavioral activation and cognitive restructuring in an Internet-based intervention for depressed adults are negligible: Results from a randomized controlled trial.

    Brose, Annette / Heinrich, Manuel / Bohn, Johannes / Kampisiou, Christina / Zagorscak, Pavle / Knaevelsrud, Christine

    Journal of consulting and clinical psychology

    2023  Volume 91, Issue 3, Page(s) 122–138

    Abstract: Objective: Applying elements of cognitive behavioral therapy (CBT) in internet-based interventions (IBIs) is effective in treating depression. However, CBT-based IBIs differ in which kind of components are applied and the order of their application. ... ...

    Abstract Objective: Applying elements of cognitive behavioral therapy (CBT) in internet-based interventions (IBIs) is effective in treating depression. However, CBT-based IBIs differ in which kind of components are applied and the order of their application. Furthermore, it is as yet unknown whether such sequencing matters. Using an IBI for depression, we examined whether the sequence of two major CBT components, behavioral activation (BA) and cognitive restructuring (CR), affect patterns of symptom changes and dropout rates.
    Method: Individuals with moderate to mild depressive symptoms (
    Results: The groups had similar dropout rates and showed similar changes pre- to postassessment, and from pre- to 3-, 6-, and 12-month follow-up assessments. Between-group differences were small enough to be considered equivalent. Three classes of change trajectories emerged in both groups, but they did not differ in shape or size and did not show diverging associations with person-level characteristics.
    Conclusions: Results suggest that the sequence of the CBT components BA and CR in IBIs for depression does, on average, not systematically impact how individuals change during and after participation, which provides flexibility in designing CBT-based interventions. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
    MeSH term(s) Adult ; Humans ; Female ; Male ; Cognitive Restructuring ; Internet-Based Intervention ; Behavior Therapy/methods ; Cognitive Behavioral Therapy/methods ; Depression/therapy ; Treatment Outcome
    Language English
    Publishing date 2023-01-30
    Publishing country United States
    Document type Randomized Controlled Trial ; Journal Article
    ZDB-ID 121321-0
    ISSN 1939-2117 ; 0022-006X
    ISSN (online) 1939-2117
    ISSN 0022-006X
    DOI 10.1037/ccp0000789
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Book: Cybermobbing

    Zagorscak, Pavle

    Daten und Fakten

    2014  

    Title translation Cyberbullying: facts and figures (DeepL)
    Keywords Cyberbullying ; Internet-Mobbing
    Language German
    Size S. 2-9
    Publisher Freie Universität
    Publishing place Berlin
    Document type Book
    Database PSYNDEX

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  6. Article ; Online: Mind the context-The relevance of personality for face-to-face and computer-mediated communication.

    Schulze, Julian / Zagorscak, Pavle / West, Stephen G / Schultze, Martin / Krumm, Stefan

    PloS one

    2022  Volume 17, Issue 8, Page(s) e0272938

    Abstract: A large body of research has examined the link between personality and face-to-face (FtF) communication knowledge, skills, abilities, and other characteristics (KSAOs). With the rise of digital media, text-based computer-mediated (CM) communication KSAOs ...

    Abstract A large body of research has examined the link between personality and face-to-face (FtF) communication knowledge, skills, abilities, and other characteristics (KSAOs). With the rise of digital media, text-based computer-mediated (CM) communication KSAOs have gained increasing attention. We conducted two studies to investigate how personality relates to KSAOs in the different contexts of FtF and CM communication. Contrasting perspectives hypothesize that the results in the FtF and CM contexts would be very similar or distinctly different. In Study 1 (n = 454), an online panel study, the Big Five personality dimensions were assessed and their relationships to FtF and CM communication KSAOs were investigated. Structural equation models and relative weight regression analyses showed that these personality dimensions, mostly extraversion and neuroticism, explained more variance in FtF as compared to CM communication KSAOs. Study 2 (n = 173), conducted in a laboratory context, showed similar results compared to Study 1. In addition, when the Big Five personality dimensions were assessed with a CM frame of reference, more variance was explained in CM than in FtF communication KSAOs. These results point to the importance of considering context effects in communication and in personality research: FtF and CM communication KSAOs need to be differentiated. If not properly contextualized, the relevance of personality and communication competencies in predicting criteria may be underestimated due to contextual mismatches.
    MeSH term(s) Communication ; Computers ; Extraversion, Psychological ; Internet ; Personality
    Language English
    Publishing date 2022-08-25
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0272938
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Sequencing effects of behavioral activation and cognitive restructuring in an Internet-based intervention for depressed adults are negligible

    Brose, Annette / Heinrich, Manuel / Bohn, Johannes / Kampisiou, Christina / Zagorscak, Pavle / Knaevelsrud, Christine

    Journal of Consulting and Clinical Psychology

    Results from a randomized controlled trial

    2023  Volume 91, Issue 3, Page(s) 122–138

    Abstract: Objective: Applying elements of cognitive behavioral therapy (CBT) in internet-based interventions (IBIs) is effective in treating depression. However, CBT-based IBIs differ in which kind of components are applied and the order of their application. ... ...

    Title translation Die Sequenzierungseffekte von Verhaltensaktivierung und kognitiver Umstrukturierung in einer internetbasierten Intervention für depressive Erwachsene sind vernachlässigbar: Ergebnisse einer randomisierten kontrollierten Studie
    Abstract Objective: Applying elements of cognitive behavioral therapy (CBT) in internet-based interventions (IBIs) is effective in treating depression. However, CBT-based IBIs differ in which kind of components are applied and the order of their application. Furthermore, it is as yet unknown whether such sequencing matters. Using an IBI for depression, we examined whether the sequence of two major CBT components, behavioral activation (BA) and cognitive restructuring (CR), affect patterns of symptom changes and dropout rates. Method: Individuals with moderate to mild depressive symptoms (N = 2,304, 59% female) were randomly assigned to two groups: one group that received BA in Modules 2 and 3 and CR in Modules 4 and 5, and another group with the opposite sequence. The component contents were identical. We investigated group differences in dropout rates, symptom changes, and change trajectories across the intervention. Results: The groups had similar dropout rates and showed similar changes pre- to postassessment, and from pre- to 3-, 6-, and 12-month follow-up assessments. Between-group differences were small enough to be considered equivalent. Three classes of change trajectories emerged in both groups, but they did not differ in shape or size and did not show diverging associations with person-level characteristics. Conclusions: Results suggest that the sequence of the CBT components BA and CR in IBIs for depression does, on average, not systematically impact how individuals change during and after participation, which provides flexibility in designing CBT-based interventions.
    Keywords Behandlungsplanung ; Behavioral Activation System ; Cognitive Behavior Therapy ; Cognitive Restructuring ; Computer Mediated Communication ; Computervermittelte Kommunikation ; Digital Interventions ; Digitale Interventionen ; Internetbasierte Therapie ; Kognitive Umstrukturierung ; Kognitive Verhaltenstherapie ; Major Depression ; Online Therapy ; Psychotherapeutic Outcomes ; Psychotherapieergebnisse ; Therapieabbrecherinnen und Therapieabbrecher ; Treatment Dropouts ; Treatment Planning ; Verhaltensaktivierungssystem
    Language English
    Document type Article
    ZDB-ID 121321-0
    ISSN 1939-2117 ; 0022-006X
    ISSN (online) 1939-2117
    ISSN 0022-006X
    DOI 10.1037/ccp0000789
    Database PSYNDEX

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  8. Article: Medienhelden

    Zagorscak, Pavle

    (In: Landeskommission Berlin gegen Gewalt (Ed.); Burck, Christine (Red.), Schöne neue Welt - total vernetzt! Fluch oder Segen? Dokumentation des 12. Berliner Präventionstages (S. 66-68). Berlin: Landeskommission Berlin gegen Gewalt (Serie: Berliner Forum Gewaltprävention, Nr. 48))

    2013  

    Series title In: Landeskommission Berlin gegen Gewalt (Ed.); Burck, Christine (Red.), Schöne neue Welt - total vernetzt! Fluch oder Segen? Dokumentation des 12. Berliner Präventionstages (S. 66-68). Berlin: Landeskommission Berlin gegen Gewalt (Serie: Berliner Forum Gewaltprävention, Nr. 48)
    Keywords Bullying ; Communications Media ; Cyberbullying ; Internet-Mobbing ; Kommunikationsmedien ; Mobbing ; Prevention ; Prävention ; School Based Intervention ; Schulische Intervention ; Training
    Language German
    Document type Article
    Database PSYNDEX

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  9. Article ; Online: Factors contributing to symptom change in standardized and individualized Internet-based interventions for depression: A randomized-controlled trial.

    Zagorscak, Pavle / Heinrich, Manuel / Schulze, Julian / Böttcher, Johanna / Knaevelsrud, Christine

    Psychotherapy (Chicago, Ill.)

    2020  Volume 57, Issue 2, Page(s) 237–251

    Abstract: Research suggests 4 categories of outcome predictors in face-to-face therapy (i.e., treatment expectations, extratherapeutic factors, relationship factors, and factors specific to a treatment approach/technique). However, it is unclear whether these ... ...

    Abstract Research suggests 4 categories of outcome predictors in face-to-face therapy (i.e., treatment expectations, extratherapeutic factors, relationship factors, and factors specific to a treatment approach/technique). However, it is unclear whether these factors are relevant in standardized and individualized Internet-based interventions. To investigate this question, a secondary analysis of data from 1,089 mildly to moderately depressed adults undergoing 6 weeks of cognitive-behavioral Internet-based intervention for depression randomized to receive either weekly written feedback individualized by a counselor or automated and fully standardized feedback was performed. The following variables corresponding to the 4 categories were tested regarding associations with depressive symptom change during multiple treatment periods within a multigroup structural equation model: (a) outcome expectations, (b) extratherapeutic stressors and stress change during treatment, (c) midtreatment working alliance (task/goal and bond), and (d) uptake of treatment-specific components (logins and specific tool use). Results suggest similar regressive associations across treatment conditions: Previous symptom change was the most important predictor for subsequent symptom developments. Stress at baseline and the uptake of specific treatment components only played a minor role, and stronger task/goal ratings were associated with later symptom improvements. Early symptom improvements predicted stronger midtreatment task/goal and bond ratings, whereas only stronger task/goal ratings were associated with later symptom improvements. Outcome expectations were only indirectly related with symptom change mediated through goal/task ratings. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
    MeSH term(s) Adult ; Cognitive Behavioral Therapy ; Depression ; Humans ; Internet ; Internet-Based Intervention ; Treatment Outcome
    Language English
    Publishing date 2020-03-05
    Publishing country United States
    Document type Journal Article ; Randomized Controlled Trial
    ZDB-ID 281564-3
    ISSN 1939-1536 ; 0033-3204
    ISSN (online) 1939-1536
    ISSN 0033-3204
    DOI 10.1037/pst0000276
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Negative effects in internet-based interventions for depression: A qualitative content analysis.

    Fenski, Friederike / Rozental, Alexander / Heinrich, Manuel / Knaevelsrud, Christine / Zagorscak, Pavle / Boettcher, Johanna

    Internet interventions

    2021  Volume 26, Page(s) 100469

    Abstract: An increasing number of studies is proving the efficacy of Internet-based interventions (IBI) for treating depression. While the focus of most studies is thereby lying on the potential of IBI to alleviate emotional distress and enhance well-being, few ... ...

    Abstract An increasing number of studies is proving the efficacy of Internet-based interventions (IBI) for treating depression. While the focus of most studies is thereby lying on the potential of IBI to alleviate emotional distress and enhance well-being, few studies are investigating possible negative effects that might be encountered by participants. The current study was therefore exploring self-reported negative effects of participants undergoing a cognitive-behavioral IBI targeting mild to moderate depression over 6 weeks. Data from the client pool of a German insurance company (
    Language English
    Publishing date 2021-10-14
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2764252-5
    ISSN 2214-7829 ; 2214-7829
    ISSN (online) 2214-7829
    ISSN 2214-7829
    DOI 10.1016/j.invent.2021.100469
    Database MEDical Literature Analysis and Retrieval System OnLINE

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