Evaluating cutpoints for the MHI-5 and MCS using the GHQ-12: a comparison of five different methods
<p>Abstract</p> <p>Background</p> <p>The Mental Health Inventory (MHI-5) and the Mental Health Component Summary score (MCS) derived from the Short Form 36 (SF-36) instrument are well validated and reliable scales. A drawback of their construction is that neither has a...
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doaj-98a7c16a339d4bb8adc73552b08e78cf2020-11-24T20:51:59ZengBMCBMC Psychiatry1471-244X2008-02-01811010.1186/1471-244X-8-10Evaluating cutpoints for the MHI-5 and MCS using the GHQ-12: a comparison of five different methodsFone David LLloyd KeithDunstan Frank DKelly Mark J<p>Abstract</p> <p>Background</p> <p>The Mental Health Inventory (MHI-5) and the Mental Health Component Summary score (MCS) derived from the Short Form 36 (SF-36) instrument are well validated and reliable scales. A drawback of their construction is that neither has a clinically validated cutpoint to define a case of common mental disorder (CMD). This paper aims to produce cutpoints for the MHI-5 and MCS by comparison with the General Health Questionnaire (GHQ-12).</p> <p>Methods</p> <p>Data were analysed from wave 9 of the British Household Panel Survey (2000), providing a sample size of 14,669 individuals. Receiver Operating Characteristic (ROC) curves were used to compare the scales and define cutpoints for the MHI-5 and MCS, using the following optimisation criteria: the Youden Index, the point closest to (0,1) on the ROC curve, minimising the misclassification rate, the minimax method, and prevalence matching.</p> <p>Results</p> <p>For the MHI-5, the Youden Index and the (0,1) methods both gave a cutpoint of 76, minimising the misclassification rate gave a cutpoint of 60 and the minimax method and prevalence matching gave a cutpoint of 68. For the MCS, the Youden Index and the (0,1) methods gave cutpoints of 51.7 and 52.1 respectively, minimising the error rate gave a cutpoint of 44.8 and both the minimax method and prevalence matching gave a cutpoint of 48.9. The correlation between the MHI-5 and the MCS was 0.88.</p> <p>Conclusion</p> <p>The Youden Index and (0,1) methods are most suitable for determining a cutpoint for the MHI-5, since they are least dependent on population prevalence. The choice of method is dependent on the intended application. The MHI-5 performs remarkably well against the longer MCS.</p> http://www.biomedcentral.com/1471-244X/8/10 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Fone David L Lloyd Keith Dunstan Frank D Kelly Mark J |
spellingShingle |
Fone David L Lloyd Keith Dunstan Frank D Kelly Mark J Evaluating cutpoints for the MHI-5 and MCS using the GHQ-12: a comparison of five different methods BMC Psychiatry |
author_facet |
Fone David L Lloyd Keith Dunstan Frank D Kelly Mark J |
author_sort |
Fone David L |
title |
Evaluating cutpoints for the MHI-5 and MCS using the GHQ-12: a comparison of five different methods |
title_short |
Evaluating cutpoints for the MHI-5 and MCS using the GHQ-12: a comparison of five different methods |
title_full |
Evaluating cutpoints for the MHI-5 and MCS using the GHQ-12: a comparison of five different methods |
title_fullStr |
Evaluating cutpoints for the MHI-5 and MCS using the GHQ-12: a comparison of five different methods |
title_full_unstemmed |
Evaluating cutpoints for the MHI-5 and MCS using the GHQ-12: a comparison of five different methods |
title_sort |
evaluating cutpoints for the mhi-5 and mcs using the ghq-12: a comparison of five different methods |
publisher |
BMC |
series |
BMC Psychiatry |
issn |
1471-244X |
publishDate |
2008-02-01 |
description |
<p>Abstract</p> <p>Background</p> <p>The Mental Health Inventory (MHI-5) and the Mental Health Component Summary score (MCS) derived from the Short Form 36 (SF-36) instrument are well validated and reliable scales. A drawback of their construction is that neither has a clinically validated cutpoint to define a case of common mental disorder (CMD). This paper aims to produce cutpoints for the MHI-5 and MCS by comparison with the General Health Questionnaire (GHQ-12).</p> <p>Methods</p> <p>Data were analysed from wave 9 of the British Household Panel Survey (2000), providing a sample size of 14,669 individuals. Receiver Operating Characteristic (ROC) curves were used to compare the scales and define cutpoints for the MHI-5 and MCS, using the following optimisation criteria: the Youden Index, the point closest to (0,1) on the ROC curve, minimising the misclassification rate, the minimax method, and prevalence matching.</p> <p>Results</p> <p>For the MHI-5, the Youden Index and the (0,1) methods both gave a cutpoint of 76, minimising the misclassification rate gave a cutpoint of 60 and the minimax method and prevalence matching gave a cutpoint of 68. For the MCS, the Youden Index and the (0,1) methods gave cutpoints of 51.7 and 52.1 respectively, minimising the error rate gave a cutpoint of 44.8 and both the minimax method and prevalence matching gave a cutpoint of 48.9. The correlation between the MHI-5 and the MCS was 0.88.</p> <p>Conclusion</p> <p>The Youden Index and (0,1) methods are most suitable for determining a cutpoint for the MHI-5, since they are least dependent on population prevalence. The choice of method is dependent on the intended application. The MHI-5 performs remarkably well against the longer MCS.</p> |
url |
http://www.biomedcentral.com/1471-244X/8/10 |
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