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The efficiency of two-phase designs in prevalence surverys of mental disorders

Published online by Cambridge University Press:  09 July 2009

Stephen C. Newman ,
Patrick E. Shrout  and
Roger C. Bland
Stephen C. Newman*
Affiliation:
Department of psychiatry, University of Alberta and Mental Services, Alberta Health, Edmonton, Alberta, Canada and Division of Biostatistics, School of Public Health, Columbia University, New York, USA
Patrick E. Shrout
Affiliation:
Department of psychiatry, University of Alberta and Mental Services, Alberta Health, Edmonton, Alberta, Canada and Division of Biostatistics, School of Public Health, Columbia University, New York, USA
Roger C. Bland
Affiliation:
Department of psychiatry, University of Alberta and Mental Services, Alberta Health, Edmonton, Alberta, Canada and Division of Biostatistics, School of Public Health, Columbia University, New York, USA
*
1Address for correspondence: Dr S. Newman, Department of Psychiatry, Mackenzie Centre, University of Alberta, Edmonton, Alberta, Canada T6G 2B7.
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Synopsis

A two-phase survey of mental disorders uses a screening test to identify possible cases, thereby reducing the resources devoted to interviewing those not having the condition of interest. It is demonstrated using a mathematical model that in situations likely to be encountered in practice a two-phase design may lead to an increase in the efficiency of prevalence rate estimation, and also to an improvement in the efficiency of case detection. However, in certain applications the modest gain in efficiency may not warrant the additional complexity of a two-phase approach to data collection. Data from a survey of mental disorders in Edmonton, Canada, which collected informations on 3258 community residents using the Diagnostic Interview Schedule and the General Health Questionnaire, are used to demonstrate how two-phase methods would have changed the efficiency of an actual survey.

Type
Original Articles
Information
Psychological Medicine , Volume 20 , Issue 1 , February 1990 , pp. 183 - 193
Copyright
Copyright © Cambridge University Press 1990

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