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


Journal

Journal of diabetes research
ISSN: 2314-6753
Titre abrégé: J Diabetes Res
Pays: England
ID NLM: 101605237

Informations de publication

Date de publication:
2019
Historique:
received: 17 11 2018
accepted: 11 04 2019
entrez: 21 6 2019
pubmed: 21 6 2019
medline: 25 1 2020
Statut: epublish

Résumé

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. Randomized controlled trial- (RCT-) based data ( Major depressive disorder diagnosis at the baseline ( 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.

Identifiants

pubmed: 31218230
doi: 10.1155/2019/2634094
pmc: PMC6536948
doi:

Types de publication

Journal Article Pragmatic Clinical Trial

Langues

eng

Sous-ensembles de citation

IM

Pagination

2634094

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Auteurs

Sandra Schlicker (S)

Friedrich-Alexander University Erlangen-Nürnberg, Germany.
Philipps-University Marburg, Germany.

Kiona K Weisel (KK)

Friedrich-Alexander University Erlangen-Nürnberg, Germany.

Claudia Buntrock (C)

Friedrich-Alexander University Erlangen-Nürnberg, Germany.

Matthias Berking (M)

Friedrich-Alexander University Erlangen-Nürnberg, Germany.

Stephanie Nobis (S)

GET.ON Institute GmbH, Germany.

Dirk Lehr (D)

Leuphana University Lüneburg, Germany.

Harald Baumeister (H)

Ulm University, Germany.

Frank J Snoek (FJ)

VU University, Amsterdam, Netherlands.

Heleen Riper (H)

VU University, Amsterdam, Netherlands.

David D Ebert (DD)

VU University, Amsterdam, Netherlands.

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Classifications MeSH