Do Nonsuicidal Severely Depressed Individuals with Diabetes Profit from Internet-Based Guided Self-Help? Secondary Analyses of a Pragmatic Randomized Trial
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...
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2019-01-01
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Series: | Journal of Diabetes Research |
Online Access: | http://dx.doi.org/10.1155/2019/2634094 |
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author | Sandra Schlicker Kiona K. Weisel Claudia Buntrock Matthias Berking Stephanie Nobis Dirk Lehr Harald Baumeister Frank J. Snoek Heleen Riper David D. Ebert |
author_facet | Sandra Schlicker Kiona K. Weisel Claudia Buntrock Matthias Berking Stephanie Nobis Dirk Lehr Harald Baumeister Frank J. Snoek Heleen Riper David D. Ebert |
author_sort | Sandra Schlicker |
collection | DOAJ |
description | 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 (N=253) comparing GET.ON M.E.D. to an online psychoeducation control group was used to test disease-specific severity indicators as predictors/moderators of a treatment outcome. Changes in depressive symptom severity and treatment response were examined in a nonsuicidal severely depressed subgroup (CES−D>40; N=40). Results. Major depressive disorder diagnosis at the baseline (pprf6=0.01), higher levels of depression (Beck Depression Inventory II; pprpo=0.00; pprf6=0.00), and lower HbA1c (pprpo=0.04) predicted changes in depressive symptoms. No severity indicator moderated the treatment outcome. Severely depressed participants in the intervention group showed a significantly greater reduction in depressive symptom severity (dprpo=2.17, 95% Confidence Interval (CI): 1.39-2.96) than the control condition (dprpo=0.92; 95% CI: 0.001-1.83), with a between-group effect size of dprpo=1.05 (95% CI: 0.11-1.98). Treatment response was seen in significantly more participants in the intervention (4/20; 20%) compared to the control group (0/20, 0%; χ2 2N=40=4.44; p<0.02). At the 6-month follow-up, effects were maintained for depressive symptom reduction (dpr6f=0.71; 95% CI: 0.19-1.61) but not treatment response. 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. |
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spelling | doaj-art-5321c04bc17b4be192e8127c4fd70fc02025-02-03T05:57:20ZengWileyJournal of Diabetes Research2314-67452314-67532019-01-01201910.1155/2019/26340942634094Do Nonsuicidal Severely Depressed Individuals with Diabetes Profit from Internet-Based Guided Self-Help? Secondary Analyses of a Pragmatic Randomized TrialSandra Schlicker0Kiona K. Weisel1Claudia Buntrock2Matthias Berking3Stephanie Nobis4Dirk Lehr5Harald Baumeister6Frank J. Snoek7Heleen Riper8David D. Ebert9Friedrich-Alexander University Erlangen-Nürnberg, GermanyFriedrich-Alexander University Erlangen-Nürnberg, GermanyFriedrich-Alexander University Erlangen-Nürnberg, GermanyFriedrich-Alexander University Erlangen-Nürnberg, GermanyGET.ON Institute GmbH, GermanyLeuphana University Lüneburg, GermanyUlm University, GermanyVU University, Amsterdam, NetherlandsVU University, Amsterdam, NetherlandsVU University, Amsterdam, NetherlandsIntroduction. 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 (N=253) comparing GET.ON M.E.D. to an online psychoeducation control group was used to test disease-specific severity indicators as predictors/moderators of a treatment outcome. Changes in depressive symptom severity and treatment response were examined in a nonsuicidal severely depressed subgroup (CES−D>40; N=40). Results. Major depressive disorder diagnosis at the baseline (pprf6=0.01), higher levels of depression (Beck Depression Inventory II; pprpo=0.00; pprf6=0.00), and lower HbA1c (pprpo=0.04) predicted changes in depressive symptoms. No severity indicator moderated the treatment outcome. Severely depressed participants in the intervention group showed a significantly greater reduction in depressive symptom severity (dprpo=2.17, 95% Confidence Interval (CI): 1.39-2.96) than the control condition (dprpo=0.92; 95% CI: 0.001-1.83), with a between-group effect size of dprpo=1.05 (95% CI: 0.11-1.98). Treatment response was seen in significantly more participants in the intervention (4/20; 20%) compared to the control group (0/20, 0%; χ2 2N=40=4.44; p<0.02). At the 6-month follow-up, effects were maintained for depressive symptom reduction (dpr6f=0.71; 95% CI: 0.19-1.61) but not treatment response. 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.http://dx.doi.org/10.1155/2019/2634094 |
spellingShingle | Sandra Schlicker Kiona K. Weisel Claudia Buntrock Matthias Berking Stephanie Nobis Dirk Lehr Harald Baumeister Frank J. Snoek Heleen Riper David D. Ebert Do Nonsuicidal Severely Depressed Individuals with Diabetes Profit from Internet-Based Guided Self-Help? Secondary Analyses of a Pragmatic Randomized Trial Journal of Diabetes Research |
title | Do Nonsuicidal Severely Depressed Individuals with Diabetes Profit from Internet-Based Guided Self-Help? Secondary Analyses of a Pragmatic Randomized Trial |
title_full | Do Nonsuicidal Severely Depressed Individuals with Diabetes Profit from Internet-Based Guided Self-Help? Secondary Analyses of a Pragmatic Randomized Trial |
title_fullStr | Do Nonsuicidal Severely Depressed Individuals with Diabetes Profit from Internet-Based Guided Self-Help? Secondary Analyses of a Pragmatic Randomized Trial |
title_full_unstemmed | Do Nonsuicidal Severely Depressed Individuals with Diabetes Profit from Internet-Based Guided Self-Help? Secondary Analyses of a Pragmatic Randomized Trial |
title_short | Do Nonsuicidal Severely Depressed Individuals with Diabetes Profit from Internet-Based Guided Self-Help? Secondary Analyses of a Pragmatic Randomized Trial |
title_sort | do nonsuicidal severely depressed individuals with diabetes profit from internet based guided self help secondary analyses of a pragmatic randomized trial |
url | http://dx.doi.org/10.1155/2019/2634094 |
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