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What is the threshold for a clinically relvent effect? The case of major depressive disorders

  • Pim Cuijpers
  • , Erick H. Turner
  • , Sander L. Koole
  • , Annemiek van Dijke
  • , Filip Smit

    Research output: Journal contributionsScientific review articlesResearch

    187 Citations (Scopus)

    Abstract

    Background
    Randomized trials can show whether a treatment effect is statistically significant and can describe the size of the effect. There are, however, no validated methods available for establishing the clinical relevance of these outcomes. Recently, it was proposed that a standardized mean difference (SMD) of 0.50 be used as cutoff for clinical relevance in the treatment of depression.
    Methods
    We explore what the effect size means and why the size of an effect has little bearing on its clinical relevance. We will also examine how the “minimally important difference,” as seen from the patient perspective, may be helpful in deciding where the cutoff for clinical relevance should be placed for a given condition.
    Results
    Effect sizes in itself cannot give an indication of the clinical relevance of an intervention because the outcome itself determines the clinical relevance and not only the size of the effects. The “minimal important difference” (MID) could be used as a starting point for pinpointing the cutoff for clinical relevance. A first, rough attempt to implement this approach for depression resulted in a tentative clinical relevance cutoff of SMD = 0.24. Using this cutoff, psychotherapy, pharmacotherapy, and combined treatment have effect sizes above this cutoff.
    Discussion
    Statistical outcomes cannot be equated with clinical relevance. The “MID” may be used for pinpointing the cutoff for clinical relevance, but more work in this area is needed.
    Original languageEnglish
    JournalDepression and Anxiety
    Volume31
    Issue number5
    Pages (from-to)374-378
    Number of pages5
    ISSN1091-4269
    DOIs
    Publication statusPublished - 05.2014

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Research areas and keywords

    • Health sciences
    • depression
    • effect size
    • clinical relevance
    • minimal important difference

    ASJC Scopus Subject Areas

    • Psychiatry and Mental health
    • Clinical Psychology

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