An improved method for physician-certified verbal autopsy reduces the rate of discrepancy: experiences in the Nouna Health and Demographic Surveillance Site (NHDSS), Burkina Faso

Through application of the verbal autopsy (VA) approach, trained fieldworkers collect information about the probable cause of death (COD) by using a standardized questionnaire to interview family members who were present at the time of death. The physician-certified VA (PCVA), an independent review...

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Bibliographische Detailangaben
Hauptverfasser: Yé, Maurice (VerfasserIn) , Diboulo, Eric (VerfasserIn) , Niamba, Louis (VerfasserIn) , Sié, Ali (VerfasserIn) , Coulibaly, Boubacar (VerfasserIn) , Bagagnan, Cheik (VerfasserIn) , Dembélé, Jonas (VerfasserIn) , Ramroth, Heribert (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 4 August 2011
In: Population health metrics
Year: 2011, Jahrgang: 9, Pages: 1-9
ISSN:1478-7954
DOI:10.1186/1478-7954-9-34
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1186/1478-7954-9-34
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Verfasserangaben:Maurice Yé, Eric Diboulo, Louis Niamba, Ali Sié, Boubacar Coulibaly, Cheik Bagagnan, Jonas Dembélé and Heribert Ramroth
Beschreibung
Zusammenfassung:Through application of the verbal autopsy (VA) approach, trained fieldworkers collect information about the probable cause of death (COD) by using a standardized questionnaire to interview family members who were present at the time of death. The physician-certified VA (PCVA), an independent review of this questionnaire data by up to three physicians trained in VA coding, is currently recommended by the World Health Organization (WHO) and is widely used in the INDEPTH Network. Even given its appropriateness in these contexts, a large percentage of causes of death assigned by VAs remains undetermined. As physicians often do not agree upon a final COD classification, there remains substantial room to improve the standard VA method, potentially leading to a reduction in physician discordance in COD coding.
Beschreibung:Gesehen am 12.12.2022
Beschreibung:Online Resource
ISSN:1478-7954
DOI:10.1186/1478-7954-9-34