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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