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Published in: Population Health Metrics 1/2011

Open Access 01-12-2011 | Commentary

Validation and validity of verbal autopsy procedures

Author: Daniel Chandramohan

Published in: Population Health Metrics | Issue 1/2011

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Excerpt

Methods for interpreting verbal autopsy (VA) that have been validated fall into two major categories: (1) physician-certified verbal autopsy (PCVA), the commonly-used method in which one or more physicians ascertain causes of death based on their clinical judgment; and (2) computerized coding of verbal autopsy (CCVA), in which causes of death are derived using predefined criteria. Decision rules for CCVA can be expert opinion-based or data driven. The accuracy of these VA interpretation methods varies depending on causes of death per se, while the effect of misclassification error in VA on the estimates of cause-specific mortality fractions (CSMF) depends on the distribution of causes of death. The importance of acknowledging the effects of misclassification of causes of death by VA has been highlighted by the recent controversial estimates of malaria mortality in India [1]. The parameters of validity of VA obtained from a validation study may be useful to measure the uncertainty limits of CSMFs due to misclassification errors of VA, and in some contexts, to adjust the estimate of CSMF for the effect of misclassification error [2, 3]. …
Literature
1.
go back to reference Valecha N, Staedke S, Filler S, Mpimbaza A, Greenwood B, Chandramohan D: Malaria-attributed death rates in India. Lancet 2011, 377: 992-93. 10.1016/S0140-6736(11)60380-2CrossRefPubMed Valecha N, Staedke S, Filler S, Mpimbaza A, Greenwood B, Chandramohan D: Malaria-attributed death rates in India. Lancet 2011, 377: 992-93. 10.1016/S0140-6736(11)60380-2CrossRefPubMed
2.
go back to reference Korenromp EL, Williams BG, Gouws E, Dye C, Snow RW: Measurement of trends in childhood malaria mortality in Africa: an assessment of progress toward targets based on verbal autopsy. Lancet Infect Dis 2003, 3: 349-58. 10.1016/S1473-3099(03)00657-1CrossRefPubMed Korenromp EL, Williams BG, Gouws E, Dye C, Snow RW: Measurement of trends in childhood malaria mortality in Africa: an assessment of progress toward targets based on verbal autopsy. Lancet Infect Dis 2003, 3: 349-58. 10.1016/S1473-3099(03)00657-1CrossRefPubMed
3.
go back to reference Polprasert W, Rao C, Adair T, Pattaraarchachai J, Porapakkham Y, Lopez AD: Cause-of-death ascertainment for deaths that occur outside hospitals in Thailand: application of verbal autopsy methods. Popul Health Metr 2010, 8: 13. 10.1186/1478-7954-8-13CrossRefPubMedPubMedCentral Polprasert W, Rao C, Adair T, Pattaraarchachai J, Porapakkham Y, Lopez AD: Cause-of-death ascertainment for deaths that occur outside hospitals in Thailand: application of verbal autopsy methods. Popul Health Metr 2010, 8: 13. 10.1186/1478-7954-8-13CrossRefPubMedPubMedCentral
4.
go back to reference Murray CJL, Lozano R, Flaxman AD, Vahdatpour A, Lopez AD: Robust metrics for assessing the performance of different verbal autopsy cause assignment methods in validation studies. Popul Health Metr 2011, 9: 28. 10.1186/1478-7954-9-28CrossRefPubMedPubMedCentral Murray CJL, Lozano R, Flaxman AD, Vahdatpour A, Lopez AD: Robust metrics for assessing the performance of different verbal autopsy cause assignment methods in validation studies. Popul Health Metr 2011, 9: 28. 10.1186/1478-7954-9-28CrossRefPubMedPubMedCentral
5.
go back to reference Flaxman AD, Vahdatpour A, Green S, James SL, Murray CJL: Random forests for verbal autopsy analysis: multisite validation study using clinical diagnostic gold standards. Popul Health Metr 2011, 9: 29. 10.1186/1478-7954-9-29CrossRefPubMedPubMedCentral Flaxman AD, Vahdatpour A, Green S, James SL, Murray CJL: Random forests for verbal autopsy analysis: multisite validation study using clinical diagnostic gold standards. Popul Health Metr 2011, 9: 29. 10.1186/1478-7954-9-29CrossRefPubMedPubMedCentral
Metadata
Title
Validation and validity of verbal autopsy procedures
Author
Daniel Chandramohan
Publication date
01-12-2011
Publisher
BioMed Central
Published in
Population Health Metrics / Issue 1/2011
Electronic ISSN: 1478-7954
DOI
https://doi.org/10.1186/1478-7954-9-22

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