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Table 1 MHI-5 and MCS cutpoints and associated test characteristics for five optimisation criteria

From: Evaluating cutpoints for the MHI-5 and MCS using the GHQ-12: a comparison of five different methods

Scale Optimisation Criterion Cutpoint Sensitivity Specificity Positivity1Rate Error Rate2%
MHI-5 Youden Index 76 0.756 0.771 0.362 23.3
  (0,1)3 76 0.756 0.771 0.362 23.3
  Misclassification Rate 60 0.473 0.943 0.163 17.6
  Minimax method 68 0.615 0.882 0.244 18.5
  Prevalence Matching 68 0.615 0.882 0.244 18.5
MCS Youden Index 51.7 0.745 0.787 0.348 22.4
  (0,1) 52.1 0.759 0.772 0.362 23.1
  Misclassification Rate 44.8 0.476 0.941 0.164 17.6
  Minimax method 48.9 0.630 0.874 0.253 18.8
  Prevalence Matching 48.9 0.630 0.874 0.253 18.8
  1. 1Positivity rate refers to the proportion of the sample defined to be a case using each cutpoint.
  2. 2Error rate refers to the proportion of the sample classified differently to the GHQ-12. This comprises both false negatives and false positives.
  3. 3(0,1) refers to the criterion which minimises the distance between the point (0,1) and the ROC curve