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

K. S. Button; D. Kounali; L. Thomas; N. J. Wiles; T. J. Peters; N. J. Welton; A. E. Ades; G. Lewis

doi:10.1017/S0033291715001270

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Psychol Med. 2015 Nov; 45(15): 3269–3279.

Published online 2015 Jul 13. doi: 10.1017/S0033291715001270

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Table 4.

BDI-II cut-points and associated test characteristics for optimization criteria for ROC analyses with specificity ⩾70%.

Study	Sample, n (better/not)	Absolute change						Relative change
Study	Sample, n (better/not)	Cut-point	Se	Sp	Correctly classified	AUC (95% CI)	Kappa	Cut-point	Se	Sp	Correctly classified	AUC (95% CI)	Kappa
GenPod	240/88	⩾2	0.75	0.74	74.7%	0.79 (0.7–0.8)	0.43	⩾17%	75	74	75%	0.79 (0.74–0.85)	0.44
TREAD	137/76	⩾1	0.68	0.71	69.0%	0.76 (0.7–0.8)	0.37	⩾18%	61	86	70%	0.76 (0.70–0.82)	0.42
CoBalT	186/199	⩾ 3	0.62	0.71	66.5%	0.75 (0.7–0.8)	0.32	⩾32%	65	86	76%	0.78 (0.73–0.83)	0.52

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BDI-II, Beck Depression Inventory, 2nd edition; ROC, receiver operator characteristics; Se, sensitivity; Sp, specificity; AUC, area under curve; CI, confidence interval.

Cut-off values denote improvements in BDI-II scores required for optimal criterion for specificity ⩾70%. Youden Index calculated as J = max(sensitivity + specificity − 1). Kappa scores denote agreement between self-reported better/not and ROC classified better/not based on cut-off values.