Evidence map›Paper›PMID 21267364›Full record

ArticleIndian journal of psychiatry2010

The Global Mental Health Assessment Tool-validation in Hindi: A validity and feasibility study.

Vimal K Sharma, Savita Jagawat, Aarti Midha, Anil Jain, Anil Tambi, Leena Kumari Mangwani, Bhawna Sharma, Parul Dubey, Vipin Satija, John R M Copeland and 4 more

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Article in Indian journal of psychiatry, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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7citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Vimal K SharmaCheshire and Wirral Partnership NHS Foundation Trust, Wirral, Cheshire, UK.
Savita Jagawat
Aarti Midha
Anil Jain
Anil Tambi
Leena Kumari Mangwani
Bhawna Sharma
Parul Dubey
Vipin Satija
John R M Copeland
Peter Lepping
Steven Lane
Murali Krishna
Ashok Pangaria

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA computer-assisted interview, the Global Mental Health Assessment Tool-validation (GMHAT/PC) has been developed to assist general practitioners and other health professionals to make a quick, convenient, yet reasonably comprehensive standardized mental health assessment. GMHAT/PC has been translated into various languages including Hindi. This is the first study conducted in India, using the Hindi version GMHAT/PC of the series of studies assessing its validity in different cultures.

aimThe study aims to assess the feasibility of using a computer assisted diagnostic interview by health professionals and to examine the level of agreement between the Hindi version GMHAT/PC diagnosis and psychiatrists' ICD-10 based clinical diagnosis.

designCross-sectional validation study.

settingPsychiatric clinic of a General Hospital and an out patient (Neurology) clinic in the Teaching General Hospital in Jaipur, India. MATERIALS AND

methodsAll consecutive patients attending the psychiatric out patient clinic were interviewed using GMHAT/PC and psychiatrists made a diagnosis applying ICD-10 criteria for a period of six weeks. A small sample of subjects was interviewed in a similar way in a Neurology clinic for four weeks.

resultsThe mean duration of interview was under 17 minutes. Most patients were pleased that they were asked about every aspect of their mental health. The agreement between psychologists' GMHAT/PC interview diagnoses and psychiatrists' clinical diagnoses was excellent (Kappa 0.96, sensitivity 1.00, and specificity 0.94).

conclusionGMHAT/PC Hindi version detected mental disorders accurately and it was feasible to use GMHAT/PC in Indian settings.

Indexed as

GMHATmental health assessmentprimary care mental healthpsychiatric diagnosis

Identifiers

PMID21267364
PMCPMC3025156

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