UNIGE document Scientific Article
previous document  unige:144217  next document
add to browser collection
Title

Ability of verbal autopsy data to detect deaths due to uncontrolled hyperglycaemia: testing existing methods and development and validation of a novel weighted score

Authors
Blackstock, Sarah
Witham, Miles D
Wade, Alisha N
Crampin, Amelia
Ogle, Graham D
Davies, Justine I
Published in BMJ Open. 2019, vol. 9, no. 10, e026331
Abstract Objectives: Verbal autopsy (VA) is a useful tool to ascertain cause of death where no other mechanisms exist. We aimed to assess the utility of VA data to ascertain deaths due to uncontrolled hyperglycaemia and to develop a weighted score (WS) to specifically identify cases. Cases were identified by a study or site physician with training in diabetes. These diagnoses were also compared with diagnoses produced by a standard computer algorithm (InterVA-4). Setting: This study was done using VA data from the Health and Demographic Survey sites in Agincourt in rural South Africa. Validation of the WS was done using VA data from Karonga in Malawi.
Keywords Diabetes & endocrinologyEpidemiologyHealth informaticsAdolescentAdultAlgorithmsAutopsyCause of DeathChildChild, PreschoolCohort StudiesFemaleHumansHyperglycemia/diagnosisHyperglycemia/mortalityInfantMalawiMaleMiddle AgedReproducibility of ResultsYoung Adult
Identifiers
PMID: 31630097
Full text
Structures
Citation
(ISO format)
BLACKSTOCK, Sarah et al. Ability of verbal autopsy data to detect deaths due to uncontrolled hyperglycaemia: testing existing methods and development and validation of a novel weighted score. In: BMJ Open, 2019, vol. 9, n° 10, p. e026331. doi: 10.1136/bmjopen-2018-026331 https://archive-ouverte.unige.ch/unige:144217

94 hits

26 downloads

Update

Deposited on : 2020-11-05

Export document
Format :
Citation style :