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Is a severe clinical profile an effect modifier in a web-based depression treatment for adults with type 1 or type 2 diabetes ? Secondary analyses from a randomized controlled trial

    Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungBegutachtung

    27 Zitate (Scopus)

    Abstract

    Background: Depression and diabetes are two highly prevalent and co-occurring health problems. Web-based, diabetes-specific cognitive behavioral therapy (CBT) depression treatment is effective in diabetes patients, and has the potential to be cost effective and to have large reach. A remaining question is whether the effectiveness differs between patients with seriously impaired mental health and patients with less severe mental health problems. Objective: To test whether the effectiveness of an eight-lesson Web-based, diabetes-specific CBT for depression, with minimal therapist support, differs in patients with or without diagnosed major depressive disorder (MDD), diagnosed anxiety disorder, or elevated diabetes-specific emotional distress (DM-distress). Methods: We used data of 255 patients with diabetes with elevated depression scores, who were recruited via an open access website for participation in a randomized controlled trial, conducted in 2008-2009, comparing a diabetes-specific, Web-based, therapist-supported CBT with a 12-week waiting-list control group. We performed secondary analyses on these data to study whether MDD or anxiety disorder (measured using a telephone-administered diagnostic interview) and elevated DM-distress (online self-reported) are effect modifiers in the treatment of depressive symptoms (online self-reported) with Web-based diabetes-specific CBT. Results: MDD, anxiety disorder, and elevated DM-distress were not significant effect modifiers in the treatment of self-assessed depressive symptoms with Web-based diabetes-specific CBT. Conclusions: This Web-based diabetes-specific CBT depression treatment is suitable for use in patients with severe mental health problems and those with a less severe clinical profile.
    OriginalspracheEnglisch
    Aufsatznummere2
    ZeitschriftJournal of Medical Internet Research
    Jahrgang14
    Ausgabenummer1
    Seitenumfang12
    DOIs
    PublikationsstatusErschienen - 05.01.2012

    UN SDGs

    Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

    1. SDG 3 – Gute Gesundheit und Wohlergehen
      SDG 3 – Gute Gesundheit und Wohlergehen

    Fachgebiete und Schlagwörter

    • Gesundheitswissenschaften
    • Psychologie

    ASJC Scopus Sachgebiete

    • Gesundheitsinformatik

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