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      The psychometric properties of GHQ for detecting common mental disorder among community dwelling men in Goa, India

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          Highlights

          • GHQ-12 is fairly effective, efficient screening tool for CMD in Goa, India.

          • Optimal cut-off score was found to be lower than WHO-recommended score.

          • Lowered cut-off point is recommended in Goa, India for community use.

          • Cut-off point may have implications for CMD identification in community.

          Abstract

          Background

          There have not been many attempts to validate screening measures for common mental disorders (CMD) in low- and middle-income countries. The aim of this study was to examine the criterion validity of the General Health Questionnaire 12 (GHQ-12) in a community-based study from Goa, India.

          Method

          Concurrent and convergent validity of the GHQ-12 were assessed against the Mini International Neuropsychiatric Interview (MINI) and World Health Organization Disability Assessment Scale (WHODAS) for CMD and functional status through the secondary analysis of a community cohort of men from Goa, India. Criterion validity of the GHQ-12 was determined using ROC analyses with the MINI case criterion as the gold standard. Concurrent validity was assessed against the gold standard of WHODAS functional disability and number of disability days.

          Results

          In a sample of men ( n = 773), the GHQ-12 showed high internal reliability (Cronbach's alpha of 0.82) and acceptable criterion validity (Area under the receiver operating characteristic curve being 0.71). It had adequate psychometric properties for the detection of CMD (sensitivity of 68.75%; specificity of 73.14%) with the optimal cut-off score for identification of CMD being 2.

          Conclusion

          In order to optimize the usefulness and validity of the GHQ-12, a low cut-off point for CMD may be beneficial in Goa, India. Further validation studies for the GHQ-12 should be conducted for continued validation of the test for use in the community.

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          Most cited references14

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          Estimation of the Youden Index and its associated cutoff point.

          The Youden Index is a frequently used summary measure of the ROC (Receiver Operating Characteristic) curve. It both, measures the effectiveness of a diagnostic marker and enables the selection of an optimal threshold value (cutoff point) for the marker. In this paper we compare several estimation procedures for the Youden Index and its associated cutoff point. These are based on (1) normal assumptions; (2) transformations to normality; (3) the empirical distribution function; (4) kernel smoothing. These are compared in terms of bias and root mean square error in a large variety of scenarios by means of an extensive simulation study. We find that the empirical method which is the most commonly used has the overall worst performance. In the estimation of the Youden Index the kernel is generally the best unless the data can be well transformed to achieve normality whereas in estimation of the optimal threshold value results are more variable.
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            Validated Screening Tools for Common Mental Disorders in Low and Middle Income Countries: A Systematic Review

            Background A wide range of screening tools are available to detect common mental disorders (CMDs), but few have been specifically developed for populations in low and middle income countries (LMIC). Cross-cultural application of a screening tool requires that its validity be assessed against a gold standard diagnostic interview. Validation studies of brief CMD screening tools have been conducted in several LMIC, but until now there has been no review of screening tools for all CMDs across all LMIC populations. Methods A systematic review with broad inclusion criteria was conducted, producing a comprehensive summary of brief CMD screening tools validated for use in LMIC populations. For each validation, the diagnostic odds ratio (DOR) was calculated as an easily comparable measure of screening tool validity. Average DOR results weighted by sample size were calculated for each screening tool, enabling us to make broad recommendations about best performing screening tools. Results 153 studies fulfilled our inclusion criteria. Because many studies validated two or more screening tools, this corresponded to 273 separate validations against gold standard diagnostic criteria. We found that the validity of every screening tool tested in multiple settings and populations varied between studies, highlighting the importance of local validation. Many of the best performing tools were purposely developed for a specific population; however, as these tools have only been validated in one study, it is not possible to draw broader conclusions about their applicability in other contexts. Conclusions Of the tools that have been validated in multiple settings, the authors broadly recommend using the SRQ-20 to screen for general CMDs, the GHQ-12 for CMDs in populations with physical illness, the HADS-D for depressive disorders, the PHQ-9 for depressive disorders in populations with good literacy levels, the EPDS for perinatal depressive disorders, and the HADS-A for anxiety disorders. We recommend that, wherever possible, a chosen screening tool should be validated against a gold standard diagnostic assessment in the specific context in which it will be employed.
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              Cultural variations in the clinical presentation of depression and anxiety: Implications for diagnosis and treatment

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                Author and article information

                Contributors
                Journal
                Asian J Psychiatr
                Asian J Psychiatr
                Asian Journal of Psychiatry
                Elsevier
                1876-2018
                1876-2026
                1 August 2017
                August 2017
                : 28
                : 106-110
                Affiliations
                [a ]Columbia University, Mailman School of Public Health, United States
                [b ]Sangath, 841/1, Alto Porvorim, Bardez, B/H Electricty Dept, H No 451 (168), Bhatkar Waddo, Socorro, Bardez, Porvorim, Goa 403521, India
                [c ]London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK
                Author notes
                [* ]Corresponding author at: 316 E 3rd Street, APT 5A, New York, NY 10009, United States. paige.endsley@ 123456gmail.com
                Article
                S1876-2018(16)30573-1
                10.1016/j.ajp.2017.03.023
                5565797
                28784361
                fecf3c0a-1ab8-4236-bda7-35f4f4fa610d
                © 2017 The Authors

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 1 December 2016
                : 22 February 2017
                : 15 March 2017
                Categories
                Article

                common mental disorders,ghq,validation,goa,india
                common mental disorders, ghq, validation, goa, india

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