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Status: Bibliographieeintrag

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Verfasst von:Chandramohan, Daniel [VerfasserIn]   i
 Fottrell, Edward [VerfasserIn]   i
 Leitao, Jordana [VerfasserIn]   i
 Nichols, Erin [VerfasserIn]   i
 Clark, Samuel J. [VerfasserIn]   i
 Alsokhn, Carine [VerfasserIn]   i
 Cobos Munoz, Daniel [VerfasserIn]   i
 AbouZahr, Carla [VerfasserIn]   i
 Di Pasquale, Aurelio [VerfasserIn]   i
 Mswia, Robert [VerfasserIn]   i
 Choi, Eungang [VerfasserIn]   i
 Baiden, Frank [VerfasserIn]   i
 Thomas, Jason [VerfasserIn]   i
 Lyatuu, Isaac [VerfasserIn]   i
 Li, Zehang [VerfasserIn]   i
 Larbi-Debrah, Patrick [VerfasserIn]   i
 Chu, Yue [VerfasserIn]   i
 Cheburet, Samuel [VerfasserIn]   i
 Sankoh, Osman A. [VerfasserIn]   i
 Mohamed Badr, Azza [VerfasserIn]   i
 Fat, Doris Ma [VerfasserIn]   i
 Setel, Philip [VerfasserIn]   i
 Jakob, Robert [VerfasserIn]   i
 de Savigny, Don [VerfasserIn]   i
Titel:Estimating causes of death where there is no medical certification
Titelzusatz:evolution and state of the art of verbal autopsy
Verf.angabe:Daniel Chandramohan, Edward Fottrell, Jordana Leitao, Erin Nichols, Samuel J. Clark, Carine Alsokhn, Daniel Cobos Munoz, Carla AbouZahr, Aurelio Di Pasquale, Robert Mswia, Eungang Choi, Frank Baiden, Jason Thomas, Isaac Lyatuu, Zehang Li, Patrick Larbi-Debrah, Yue Chu, Samuel Cheburet, Osman Sankoh, Azza Mohamed Badr, Doris Ma Fat, Philip Setel, Robert Jakob and Don de Savigny
E-Jahr:2021
Jahr:04 Apr 2022
Umfang:13 S.
Fussnoten:Gesehen am 16.11.2022 ; Published online: 04 Apr 2022
Titel Quelle:Enthalten in: Global health action
Ort Quelle:Abingdon : Taylor & Francis Group, 2008
Jahr Quelle:2021
Band/Heft Quelle:14(2021), Sup 1, Artikel-ID 1982486, Seite 1-13
ISSN Quelle:1654-9880
Abstract:Over the past 70 years, significant advances have been made in determining the causes of death in populations not served by official medical certification of cause at the time of death using a technique known as Verbal Autopsy (VA). VA involves an interview of the family or caregivers of the deceased after a suitable bereavement interval about the circumstances, signs and symptoms of the deceased in the period leading to death. The VA interview data are then interpreted by physicians or, more recently, computer algorithms, to assign a probable cause of death. VA was originally developed and applied in field research settings. This paper traces the evolution of VA methods with special emphasis on the World Health Organization’s (WHO)’s efforts to standardize VA instruments and methods for expanded use in routine health information and vital statistics systems in low- and middle-income countries (LMICs). These advances in VA methods are culminating this year with the release of the 2022 WHO Standard Verbal Autopsy (VA) Toolkit. This paper highlights the many contributions the late Professor Peter Byass made to the current VA standards and methods, most notably, the development of InterVA, the most commonly used automated computer algorithm for interpreting data collected in the WHO standard instruments, and the capacity building in low- and middle-income countries (LMICs) that he promoted. This paper also provides an overview of the methods used to improve the current WHO VA standards, a catalogue of the changes and improvements in the instruments, and a mapping of current applications of the WHO VA standard approach in LMICs. It also provides access to tools and guidance needed for VA implementation in Civil Registration and Vital Statistics Systems at scale.
DOI:doi:10.1080/16549716.2021.1982486
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext: https://doi.org/10.1080/16549716.2021.1982486
 DOI: https://doi.org/10.1080/16549716.2021.1982486
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:Civil Registration and Vital Statistics Systems
 InSilicoVA
 InterVA
 Mortality surveillance
 SmartVA
K10plus-PPN:1822695775
Verknüpfungen:→ Zeitschrift

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