4.7 Article

Minimal clinically important difference on the Beck Depression Inventory - II according to the patient's perspective

Journal

PSYCHOLOGICAL MEDICINE
Volume 45, Issue 15, Pages 3269-3279

Publisher

CAMBRIDGE UNIV PRESS
DOI: 10.1017/S0033291715001270

Keywords

Beck Depression Inventory; 2nd edition (BDI-II); depression; minimal clinically important difference; outcome assessment; primary care

Funding

  1. National Institute for Health Research School for Primary Care Research (NIHR SPCR)
  2. National Institute for Health Research [RP-PG-0610-10048]
  3. Mental Health Research Network (MHRN)
  4. Scottish Mental Health Research Network (SMHRN)
  5. Primary Care Research Network (PCRN)
  6. Scottish Primary Care Research Network (SPCRN)
  7. Medical Research Council [MC_U145079307, MR/K025643/1, G0802413] Funding Source: researchfish
  8. National Institute for Health Research [RP-PG-0610-10048, NF-SI-0514-10114, SPCR-068, NF-SI-0512-10026] Funding Source: researchfish
  9. National Institutes of Health Research (NIHR) [RP-PG-0610-10048] Funding Source: National Institutes of Health Research (NIHR)
  10. MRC [G0802413, MC_U145079307, MR/K025643/1] Funding Source: UKRI

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Background. The Beck Depression Inventory, 2nd edition (BDI-II) is widely used in research on depression. However, the minimal clinically important difference (MCID) is unknown. MCID can be estimated in several ways. Here we take a patient-centred approach, anchoring the change on the BDI-II to the patient's global report of improvement. Method. We used data collected (n = 1039) from three randomized controlled trials for the management of depression. Improvement on a 'global rating of change' question was compared with changes in BDI-II scores using general linear modelling to explore baseline dependency, assessing whether MCID is best measured in absolute terms (i.e. difference) or as percent reduction in scores from baseline (i.e. ratio), and receiver operator characteristics (ROC) to estimate MCID according to the optimal threshold above which individuals report feeling 'better'. Results. Improvement in BDI-II scores associated with reporting feeling 'better' depended on initial depression severity, and statistical modelling indicated that MCID is best measured on a ratio scale as a percentage reduction of score. We estimated a MCID of a 17.5% reduction in scores from baseline from ROC analyses. The corresponding estimate for individuals with longer duration depression who had not responded to antidepressants was higher at 32%. Conclusions. MCID on the BDI-II is dependent on baseline severity, is best measured on a ratio scale, and the MCID for treatment-resistant depression is larger than that for more typical depression. This has important implications for clinical trials and practice.

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