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Effect of misclassification of causes of death in verbal autopsy: can it be adjusted?
Author(s) -
Daniel Chandramohan,
Philip Setel,
Maria Quigley
Publication year - 2001
Publication title -
international journal of epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.406
H-Index - 208
eISSN - 1464-3685
pISSN - 0300-5771
DOI - 10.1093/ije/30.3.509
Subject(s) - verbal autopsy , medicine , tanzania , cause of death , autopsy , population , demography , environmental health , pathology , disease , environmental science , environmental planning , sociology
Verbal autopsy (VA) is an indirect method of ascertaining cause of death from information about symptoms and signs obtained from bereaved relatives. This method has been used in several settings to assess cause-specific mortality. However, cause-specific mortality estimates obtained by VA are susceptible to bias due to misclassification of causes of death. One way of overcoming this limitation of VA is to adjust the crude VA estimate of cause-specific mortality fractions (CSMF) using the sensitivity and specificity of the VA tool. This paper explores the application of sensitivity and specificity of VA data obtained from a hospital-based validation study for adjusting the effect of misclassification error in VA data obtained from a demographic surveillance system.

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