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Predicting outcome of Internet-based treatment for depressive symptoms

  • Lisanne Warmerdam
  • , Annemieke Van Straten
  • , Jos Twisk
  • , Pim Cuijpers

    Research output: Journal contributions › Journal articles › Research › peer-review

    41 Citations (Scopus)

    Abstract

    In this study we explored predictors and moderators of response to Internet-based cognitive behavioral therapy (CBT) and Internet-based problem-solving therapy (PST) for depressive symptoms. The sample consisted of 263 participants with moderate to severe depressive symptoms. Of those, 88 were randomized to CBT, 88 to PST and 87 to a waiting list control condition. Outcomes were improvement and clinically significant change in depressive symptoms after 8 weeks. Higher baseline depression and higher education predicted improvement, while higher education, less avoidance behavior and decreased rational problem-solving skills predicted clinically significant change across all groups. No variables were found that differentially predicted outcome between Internet-based CBT and Internet-based PST. More research is needed with sufficient power to investigate predictors and moderators of response to reveal for whom Internet-based therapy is best suited.
    Original languageEnglish
    JournalPsychotherapy Research
    Volume23
    Issue number5
    Pages (from-to)559-567
    Number of pages9
    ISSN1050-3307
    DOIs
    Publication statusPublished - 01.09.2013

    Research areas and keywords

    • Health sciences
    • Cognitive Behavior therapy
    • problem-solving
    • depression
    • predictors
    • moderators
    • web-based
    • Psychology

    ASJC Scopus Subject Areas

    • Clinical Psychology

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