Predicting outcome of Internet-based treatment for depressive symptoms

Research output: Journal contributionsJournal articlesResearchpeer-review

Authors

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

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

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