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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Main Authors: Fone David L, Lloyd Keith, Dunstan Frank D, Kelly Mark J
Format: Article
Language:English
Published: BMC 2008-02-01
Series:BMC Psychiatry
Online Access:http://www.biomedcentral.com/1471-244X/8/10
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spelling 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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