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


OBJECTIVE
The 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.


METHODS
Cross-sectional validation study.


METHODS
Psychiatric clinic of a General Hospital and an out patient (Neurology) clinic in the Teaching General Hospital in Jaipur, India.


METHODS
All 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.


RESULTS
The 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).


CONCLUSIONS
GMHAT/PC Hindi version detected mental disorders accurately and it was feasible to use GMHAT/PC in Indian settings.
Cheshire and Wirral Partnership NHS Foundation Trust, Wirral, Cheshire, UK.
Vimal K
VK
Sharma
Savita
S
Jagawat
Aarti
A
Midha
Anil
A
Jain
Anil
A
Tambi
Leena Kumari
LK
Mangwani
Bhawna
B
Sharma
Parul
P
Dubey
Vipin
V
Satija
John R M
JR
Copeland
Peter
P
Lepping
Steven
S
Lane
Murali
M
Krishna
Ashok
A
Pangaria
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