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

Joint Authors

Snoek, Frank J.
Riper, Heleen
Schlicker, Sandra
Weisel, Kiona K.
Buntrock, Claudia
Berking, Matthias
Nobis, Stephanie
Lehr, Dirk
Baumeister, Harald
Ebert, David D.

Source

Journal of Diabetes Research

Issue

Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2019-05-14

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Diseases
Medicine

Abstract EN

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.

American Psychological Association (APA)

Schlicker, Sandra& Weisel, Kiona K.& Buntrock, Claudia& Berking, Matthias& Nobis, Stephanie& Lehr, Dirk…[et al.]. 2019. 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،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1172841

Modern Language Association (MLA)

Schlicker, Sandra…[et al.]. 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 No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1172841

American Medical Association (AMA)

Schlicker, Sandra& Weisel, Kiona K.& Buntrock, Claudia& Berking, Matthias& Nobis, Stephanie& Lehr, Dirk…[et al.]. 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. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1172841

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1172841