How individuals change during internet‐based interventions for depression: A randomized controlled trial comparing standardized and individualized feedback

Abstract Background Standardized and individualized Internet‐based interventions (IBI) for depression yield significant symptom improvements. However, change patterns during standardized or individualized IBI are unknown. Identifying subgroups that experience different symptom courses during IBI and...

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Main Authors: Pavle Zagorscak, Manuel Heinrich, Johannes Bohn, Jana Stein, Christine Knaevelsrud
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Brain and Behavior
Subjects:
Online Access:https://doi.org/10.1002/brb3.1484
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spelling doaj-18a4cd0b516e4e7f9a5c5cdf6499ceca2020-11-25T03:51:31ZengWileyBrain and Behavior2162-32792020-01-01101n/an/a10.1002/brb3.1484How individuals change during internet‐based interventions for depression: A randomized controlled trial comparing standardized and individualized feedbackPavle Zagorscak0Manuel Heinrich1Johannes Bohn2Jana Stein3Christine Knaevelsrud4Department of Clinical‐Psychological Intervention Freie Universität Berlin Berlin GermanyDepartment of Clinical‐Psychological Intervention Freie Universität Berlin Berlin GermanyDepartment of Clinical‐Psychological Intervention Freie Universität Berlin Berlin GermanyDepartment of Clinical‐Psychological Intervention Freie Universität Berlin Berlin GermanyDepartment of Clinical‐Psychological Intervention Freie Universität Berlin Berlin GermanyAbstract Background Standardized and individualized Internet‐based interventions (IBI) for depression yield significant symptom improvements. However, change patterns during standardized or individualized IBI are unknown. Identifying subgroups that experience different symptom courses during IBI and their characteristics is vital for improving response. Methods Mildly to moderately depressed individuals according to self‐report (N = 1,089) were randomized to receive module‐wise feedback that was either standardized or individualized by a counselor within an otherwise identical cognitive‐behavioral IBI for depression (seven modules over six weeks). Depressive symptoms were assessed at baseline and before each module (Patient Health Questionnaire; PHQ‐9). Other individual characteristics (self‐report) and the presence of an affective disorder (structured clinical interview) were assessed at baseline. Growth mixture modeling was used to identify and compare subgroups with discernable change patterns and associated client variables across conditions. Results Model comparisons suggest equal change patterns in both conditions. Across conditions, a group of immediate (62.5%) and a group of delayed improvers (37.5%) were identified. Immediate improvers decreased their PHQ‐9 score by 5.5 points from pre to post, with 33% of improvement occurring before treatment commenced. Delayed improvers were characterized by stable symptom severity during the first two modules and smaller overall symptom decrease (3.4 points). Higher treatment expectations, a current major depressive disorder (interview), and lower social support were associated with delayed improvement. Conclusion Internet‐based interventions for depression with individualized and with standardized feedback lead to comparable patterns of change. Expectation management and bolstering of social support are promising strategies for individuals that are at risk for delayed improvement.https://doi.org/10.1002/brb3.1484depressionexpectationsgrowth mixture modelingInternet‐based interventionspatterns of changesocial support
collection DOAJ
language English
format Article
sources DOAJ
author Pavle Zagorscak
Manuel Heinrich
Johannes Bohn
Jana Stein
Christine Knaevelsrud
spellingShingle Pavle Zagorscak
Manuel Heinrich
Johannes Bohn
Jana Stein
Christine Knaevelsrud
How individuals change during internet‐based interventions for depression: A randomized controlled trial comparing standardized and individualized feedback
Brain and Behavior
depression
expectations
growth mixture modeling
Internet‐based interventions
patterns of change
social support
author_facet Pavle Zagorscak
Manuel Heinrich
Johannes Bohn
Jana Stein
Christine Knaevelsrud
author_sort Pavle Zagorscak
title How individuals change during internet‐based interventions for depression: A randomized controlled trial comparing standardized and individualized feedback
title_short How individuals change during internet‐based interventions for depression: A randomized controlled trial comparing standardized and individualized feedback
title_full How individuals change during internet‐based interventions for depression: A randomized controlled trial comparing standardized and individualized feedback
title_fullStr How individuals change during internet‐based interventions for depression: A randomized controlled trial comparing standardized and individualized feedback
title_full_unstemmed How individuals change during internet‐based interventions for depression: A randomized controlled trial comparing standardized and individualized feedback
title_sort how individuals change during internet‐based interventions for depression: a randomized controlled trial comparing standardized and individualized feedback
publisher Wiley
series Brain and Behavior
issn 2162-3279
publishDate 2020-01-01
description Abstract Background Standardized and individualized Internet‐based interventions (IBI) for depression yield significant symptom improvements. However, change patterns during standardized or individualized IBI are unknown. Identifying subgroups that experience different symptom courses during IBI and their characteristics is vital for improving response. Methods Mildly to moderately depressed individuals according to self‐report (N = 1,089) were randomized to receive module‐wise feedback that was either standardized or individualized by a counselor within an otherwise identical cognitive‐behavioral IBI for depression (seven modules over six weeks). Depressive symptoms were assessed at baseline and before each module (Patient Health Questionnaire; PHQ‐9). Other individual characteristics (self‐report) and the presence of an affective disorder (structured clinical interview) were assessed at baseline. Growth mixture modeling was used to identify and compare subgroups with discernable change patterns and associated client variables across conditions. Results Model comparisons suggest equal change patterns in both conditions. Across conditions, a group of immediate (62.5%) and a group of delayed improvers (37.5%) were identified. Immediate improvers decreased their PHQ‐9 score by 5.5 points from pre to post, with 33% of improvement occurring before treatment commenced. Delayed improvers were characterized by stable symptom severity during the first two modules and smaller overall symptom decrease (3.4 points). Higher treatment expectations, a current major depressive disorder (interview), and lower social support were associated with delayed improvement. Conclusion Internet‐based interventions for depression with individualized and with standardized feedback lead to comparable patterns of change. Expectation management and bolstering of social support are promising strategies for individuals that are at risk for delayed improvement.
topic depression
expectations
growth mixture modeling
Internet‐based interventions
patterns of change
social support
url https://doi.org/10.1002/brb3.1484
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